2024-06-01 22:22:14,956 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.19 (main, May 6 2024, 19:43:03) [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-11.7/ NVCC: Cuda compilation tools, release 11.7, V11.7.99 GCC: gcc (GCC) 7.3.0 PyTorch: 1.12.0+cu113 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (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_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.3.2 (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+cu113 OpenCV: 4.9.0 MMCV: 1.7.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.7 MMDetection: 2.25.3+5b14c58 ------------------------------------------------------------ 2024-06-01 22:22:16,809 - mmdet - INFO - Distributed training: True 2024-06-01 22:22:18,582 - mmdet - INFO - Config: model = dict( type='MaskRCNN', backbone=dict( type='PIIPFourBranch', n_points=4, deform_num_heads=16, cffn_ratio=0.25, deform_ratio=0.5, with_cffn=True, interact_attn_type='deform', interaction_drop_path_rate=0.4, branch1=dict( real_size=448, pretrain_img_size=224, patch_size=16, pretrain_patch_size=16, depth=24, embed_dim=1024, num_heads=16, mlp_ratio=4, qkv_bias=True, drop_path_rate=0.4, init_scale=1, with_fpn=False, interaction_indexes=[[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11], [12, 13], [14, 15], [16, 17], [18, 19], [20, 21], [22, 23]], pretrained='./pretrained/deit_3_large_224_21k.pth', window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[ 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28 ], use_flash_attn=True, img_norm_cfg=dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True)), branch2=dict( real_size=672, pretrain_img_size=224, patch_size=16, pretrain_patch_size=16, depth=12, embed_dim=768, num_heads=12, mlp_ratio=4, qkv_bias=True, drop_path_rate=0.15, init_scale=1, with_fpn=False, interaction_indexes=[[0, 0], [1, 1], [2, 2], [3, 3], [4, 4], [5, 5], [6, 6], [7, 7], [8, 8], [9, 9], [10, 10], [11, 11]], pretrained='./pretrained/deit_3_base_224_21k.pth', window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28], use_flash_attn=True, img_norm_cfg=dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True)), branch3=dict( real_size=1120, pretrain_img_size=224, patch_size=16, pretrain_patch_size=16, depth=12, embed_dim=384, num_heads=6, mlp_ratio=4, qkv_bias=True, drop_path_rate=0.05, init_scale=1, with_fpn=False, interaction_indexes=[[0, 0], [1, 1], [2, 2], [3, 3], [4, 4], [5, 5], [6, 6], [7, 7], [8, 8], [9, 9], [10, 10], [11, 11]], pretrained='./pretrained/deit_3_small_224_21k.pth', window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28], use_flash_attn=True, img_norm_cfg=dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True)), branch4=dict( real_size=1568, pretrain_img_size=224, patch_size=16, pretrain_patch_size=16, depth=12, embed_dim=192, num_heads=3, mlp_ratio=4, qkv_bias=True, drop_path_rate=0.05, init_scale=1, with_fpn=False, interaction_indexes=[[0, 0], [1, 1], [2, 2], [3, 3], [4, 4], [5, 5], [6, 6], [7, 7], [8, 8], [9, 9], [10, 10], [11, 11]], pretrained='./pretrained/deit_tiny_patch16_224-a1311bcf.pth', window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28], use_flash_attn=True, img_norm_cfg=dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True))), neck=dict( type='FPN', in_channels=[1024, 1024, 1024, 1024], out_channels=256, num_outs=5), 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='L1Loss', loss_weight=1.0)), roi_head=dict( type='StandardRoIHead', 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='Shared2FCBBoxHead', in_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, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), 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=-1, pos_weight=-1, debug=False), rpn_proposal=dict( nms_pre=2000, max_per_img=1000, 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=True, 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=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict(type='Resize', img_scale=(1568, 941), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1568, 941), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), 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=(1568, 941), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), 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=(1568, 941), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), 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=(1568, 941), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) evaluation = dict(metric=['bbox', 'segm'], interval=1, save_best=None) optimizer = dict( type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05, constructor='CustomLayerDecayOptimizerConstructorMMDet', paramwise_cfg=dict( num_layers=24, layer_decay_rate=0.85, skip_stride=[2, 2, 2])) 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, deepspeed=True, max_keep_ckpts=1) log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) custom_hooks = [dict(type='ToBFloat16HookMMDet', priority=49)] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] opencv_num_threads = 0 mp_start_method = 'fork' auto_scale_lr = dict(enable=False, base_batch_size=16) deepspeed = True deepspeed_config = 'zero_configs/adam_zero1_bf16.json' custom_imports = dict( imports=['mmdet.mmcv_custom'], allow_failed_imports=False) work_dir = './work_dirs/mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16' auto_resume = True gpu_ids = range(0, 8) 2024-06-01 22:22:23,616 - mmdet - INFO - Set random seed to 1377260679, deterministic: False 2024-06-01 22:22:31,491 - mmdet - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['cls_token', 'norm.weight', 'norm.bias', 'head.weight', 'head.bias']) 2024-06-01 22:22:33,294 - mmdet - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['cls_token', 'norm.weight', 'norm.bias', 'head.weight', 'head.bias']) 2024-06-01 22:22:35,253 - mmdet - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['cls_token', 'norm.weight', 'norm.bias', 'head.weight', 'head.bias']) 2024-06-01 22:22:37,486 - mmdet - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['cls_token', 'norm.weight', 'norm.bias', 'head.weight', 'head.bias']) 2024-06-01 22:24:25,185 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2024-06-01 22:24:25,310 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} 2024-06-01 22:24:25,358 - mmdet - INFO - initialize Shared2FCBBoxHead 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.w1 - torch.Size([]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.w2 - torch.Size([]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.w3 - torch.Size([]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.w4 - torch.Size([]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.pos_embed - torch.Size([1, 196, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.patch_embed.proj.weight - torch.Size([1024, 3, 16, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.patch_embed.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.12.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.13.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.14.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.15.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.16.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.17.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.18.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.19.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.20.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.21.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.22.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.23.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.pos_embed - torch.Size([1, 196, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.patch_embed.proj.weight - torch.Size([768, 3, 16, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.patch_embed.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.pos_embed - torch.Size([1, 196, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.patch_embed.proj.weight - torch.Size([384, 3, 16, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.patch_embed.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.pos_embed - torch.Size([1, 196, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.patch_embed.proj.weight - torch.Size([384, 3, 16, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.patch_embed.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.0.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.1.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.2.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.3.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.4.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.5.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.6.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.7.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.8.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.9.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.10.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch4.blocks.11.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_proj.weight - torch.Size([1024, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_proj.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_34.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.0.weight - torch.Size([1024, 1024, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.3.weight - torch.Size([1024, 1024, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.0.weight - torch.Size([1024, 768, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.3.weight - torch.Size([1024, 1024, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.0.weight - torch.Size([1024, 384, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.3.weight - torch.Size([1024, 1024, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch4.0.weight - torch.Size([1024, 384, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch4.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch4.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch4.3.weight - torch.Size([1024, 1024, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch4.4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch4.4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.0.weight - torch.Size([1024, 1024, 2, 2]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.3.weight - torch.Size([1024, 1024, 2, 2]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn2.0.weight - torch.Size([1024, 1024, 2, 2]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn2.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.0.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN 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.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.fc_reg.weight - torch.Size([320, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.fc_reg.bias - torch.Size([320]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.1.weight - torch.Size([1024, 1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.1.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.mask_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.upsample.weight - torch.Size([256, 256, 2, 2]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.upsample.bias - torch.Size([256]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.conv_logits.weight - torch.Size([80, 256, 1, 1]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.conv_logits.bias - torch.Size([80]): Initialized by user-defined `init_weights` in FCNMaskHead 2024-06-01 22:24:41,959 - mmdet - INFO - {'num_layers': 24, 'layer_decay_rate': 0.85, 'skip_stride': [2, 2, 2]} 2024-06-01 22:24:41,959 - mmdet - INFO - Build LayerDecayOptimizerConstructor 0.850000 - 26 2024-06-01 22:24:41,980 - mmdet - INFO - Param groups = { "layer_25_decay": { "param_names": [ "backbone.w1", "backbone.w2", "backbone.w3", "backbone.w4", "backbone.interactions.0.interaction_units_12.branch2to1_proj.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc2.weight", "backbone.interactions.0.interaction_units_12.branch1to2_proj.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc2.weight", "backbone.interactions.0.interaction_units_23.branch2to1_proj.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc2.weight", "backbone.interactions.0.interaction_units_23.branch1to2_proj.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc2.weight", "backbone.interactions.0.interaction_units_34.branch2to1_proj.weight", "backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_34.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_34.branch2to1_injector.ffn.fc2.weight", "backbone.interactions.0.interaction_units_34.branch1to2_proj.weight", "backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_34.branch1to2_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_34.branch1to2_injector.ffn.fc2.weight", "backbone.interactions.1.interaction_units_12.branch2to1_proj.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc1.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc2.weight", "backbone.interactions.1.interaction_units_12.branch1to2_proj.weight", "backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight", "backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.attention_weights.weight", "backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.value_proj.weight", "backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.output_proj.weight", "backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc1.weight", "backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc2.weight", "backbone.interactions.1.interaction_units_23.branch2to1_proj.weight", "backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc1.weight", "backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc2.weight", "backbone.interactions.1.interaction_units_23.branch1to2_proj.weight", "backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight", "backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.attention_weights.weight", "backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.value_proj.weight", "backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.output_proj.weight", "backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc1.weight", "backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc2.weight", "backbone.interactions.1.interaction_units_34.branch2to1_proj.weight", "backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.1.interaction_units_34.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.fc1.weight", "backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.1.interaction_units_34.branch2to1_injector.ffn.fc2.weight", "backbone.interactions.1.interaction_units_34.branch1to2_proj.weight", "backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.sampling_offsets.weight", "backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.attention_weights.weight", "backbone.interactions.1.interaction_units_34.branch1to2_injector.attn.value_proj.weight", 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"backbone.merge_branch2.1.bias", "backbone.merge_branch2.4.weight", "backbone.merge_branch2.4.bias", "backbone.merge_branch3.1.weight", "backbone.merge_branch3.1.bias", "backbone.merge_branch3.4.weight", "backbone.merge_branch3.4.bias", "backbone.merge_branch4.1.weight", "backbone.merge_branch4.1.bias", "backbone.merge_branch4.4.weight", "backbone.merge_branch4.4.bias", "backbone.fpn1.0.bias", "backbone.fpn1.1.weight", "backbone.fpn1.1.bias", "backbone.fpn1.3.bias", "backbone.fpn2.0.bias", "neck.lateral_convs.0.conv.bias", "neck.lateral_convs.1.conv.bias", "neck.lateral_convs.2.conv.bias", "neck.lateral_convs.3.conv.bias", "neck.fpn_convs.0.conv.bias", "neck.fpn_convs.1.conv.bias", "neck.fpn_convs.2.conv.bias", "neck.fpn_convs.3.conv.bias", "rpn_head.rpn_conv.bias", "rpn_head.rpn_cls.bias", "rpn_head.rpn_reg.bias", "roi_head.bbox_head.fc_cls.bias", "roi_head.bbox_head.fc_reg.bias", "roi_head.bbox_head.shared_fcs.0.bias", "roi_head.bbox_head.shared_fcs.1.bias", "roi_head.mask_head.convs.0.conv.bias", "roi_head.mask_head.convs.1.conv.bias", "roi_head.mask_head.convs.2.conv.bias", "roi_head.mask_head.convs.3.conv.bias", "roi_head.mask_head.upsample.bias", "roi_head.mask_head.conv_logits.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 } } 2024-06-01 22:25:18,283 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. 2024-06-01 22:25:18,713 - mmdet - INFO - Start running, work_dir: /mnt/petrelfs/PIIP/mmdetection/work_dirs/mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16 2024-06-01 22:25:18,713 - mmdet - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (49 ) ToBFloat16HookMMDet (NORMAL ) DeepspeedCheckpointHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) DeepspeedCheckpointHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) DeepspeedCheckpointHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (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 -------------------- 2024-06-01 22:25:18,713 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs 2024-06-01 22:25:18,742 - mmdet - INFO - Checkpoints will be saved to /mnt/petrelfs/PIIP/mmdetection/work_dirs/mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16 by HardDiskBackend. 2024-06-01 22:26:10,069 - mmdet - INFO - Epoch [1][50/7330] lr: 9.890e-06, eta: 1 day, 1:03:43, time: 1.026, data_time: 0.113, memory: 17701, loss_rpn_cls: 0.4823, loss_rpn_bbox: 0.1312, loss_cls: 1.8383, acc: 64.9626, loss_bbox: 0.0534, loss_mask: 1.4261, loss: 3.9312 2024-06-01 22:26:50,885 - mmdet - INFO - Epoch [1][100/7330] lr: 1.988e-05, eta: 22:29:06, time: 0.816, data_time: 0.052, memory: 17942, loss_rpn_cls: 0.2708, loss_rpn_bbox: 0.1058, loss_cls: 0.3983, acc: 95.0078, loss_bbox: 0.1650, loss_mask: 0.7677, loss: 1.7076 2024-06-01 22:27:32,344 - mmdet - INFO - Epoch [1][150/7330] lr: 2.987e-05, eta: 21:43:23, time: 0.829, data_time: 0.050, memory: 17942, loss_rpn_cls: 0.2503, loss_rpn_bbox: 0.1105, loss_cls: 0.3388, acc: 95.0254, loss_bbox: 0.1596, loss_mask: 0.7071, loss: 1.5664 2024-06-01 22:28:14,234 - mmdet - INFO - Epoch [1][200/7330] lr: 3.986e-05, eta: 21:23:20, time: 0.838, data_time: 0.046, memory: 17942, loss_rpn_cls: 0.2289, loss_rpn_bbox: 0.1104, loss_cls: 0.3158, acc: 95.1792, loss_bbox: 0.1556, loss_mask: 0.6847, loss: 1.4954 2024-06-01 22:28:56,016 - mmdet - INFO - Epoch [1][250/7330] lr: 4.985e-05, eta: 21:10:22, time: 0.836, data_time: 0.048, memory: 17942, loss_rpn_cls: 0.1993, loss_rpn_bbox: 0.1070, loss_cls: 0.3697, acc: 94.1284, loss_bbox: 0.1955, loss_mask: 0.6675, loss: 1.5390 2024-06-01 22:29:38,285 - mmdet - INFO - Epoch [1][300/7330] lr: 5.984e-05, eta: 21:03:54, time: 0.845, data_time: 0.042, memory: 18015, loss_rpn_cls: 0.1596, loss_rpn_bbox: 0.1087, loss_cls: 0.4158, acc: 93.1570, loss_bbox: 0.2391, loss_mask: 0.6494, loss: 1.5726 2024-06-01 22:30:21,485 - mmdet - INFO - Epoch [1][350/7330] lr: 6.983e-05, eta: 21:02:57, time: 0.864, data_time: 0.039, memory: 18015, loss_rpn_cls: 0.1242, loss_rpn_bbox: 0.0939, loss_cls: 0.4100, acc: 92.9526, loss_bbox: 0.2566, loss_mask: 0.6261, loss: 1.5108 2024-06-01 22:31:12,154 - mmdet - INFO - Epoch [1][400/7330] lr: 7.982e-05, eta: 21:29:17, time: 1.013, data_time: 0.041, memory: 18015, loss_rpn_cls: 0.1130, loss_rpn_bbox: 0.0934, loss_cls: 0.4188, acc: 92.5984, loss_bbox: 0.2718, loss_mask: 0.6046, loss: 1.5016 2024-06-01 22:31:57,387 - mmdet - INFO - Epoch [1][450/7330] lr: 8.981e-05, eta: 21:31:54, time: 0.904, data_time: 0.039, memory: 18015, loss_rpn_cls: 0.1031, loss_rpn_bbox: 0.0894, loss_cls: 0.4204, acc: 92.0010, loss_bbox: 0.2930, loss_mask: 0.5802, loss: 1.4862 2024-06-01 22:32:39,077 - mmdet - INFO - Epoch [1][500/7330] lr: 9.980e-05, eta: 21:23:40, time: 0.834, data_time: 0.043, memory: 18015, loss_rpn_cls: 0.0943, loss_rpn_bbox: 0.0898, loss_cls: 0.4042, acc: 91.7319, loss_bbox: 0.2986, loss_mask: 0.5561, loss: 1.4429 2024-06-01 22:33:21,506 - mmdet - INFO - Epoch [1][550/7330] lr: 1.000e-04, eta: 21:18:41, time: 0.849, data_time: 0.045, memory: 18015, loss_rpn_cls: 0.0999, loss_rpn_bbox: 0.0946, loss_cls: 0.4304, acc: 91.1299, loss_bbox: 0.3219, loss_mask: 0.5315, loss: 1.4784 2024-06-01 22:34:03,694 - mmdet - INFO - Epoch [1][600/7330] lr: 1.000e-04, eta: 21:13:50, time: 0.844, data_time: 0.045, memory: 18039, loss_rpn_cls: 0.0858, loss_rpn_bbox: 0.0887, loss_cls: 0.3945, acc: 91.1345, loss_bbox: 0.3199, loss_mask: 0.5131, loss: 1.4020 2024-06-01 22:34:46,050 - mmdet - INFO - Epoch [1][650/7330] lr: 1.000e-04, eta: 21:10:00, time: 0.847, data_time: 0.043, memory: 18039, loss_rpn_cls: 0.0881, loss_rpn_bbox: 0.0922, loss_cls: 0.4089, acc: 90.5754, loss_bbox: 0.3402, loss_mask: 0.4974, loss: 1.4269 2024-06-01 22:35:28,664 - mmdet - INFO - Epoch [1][700/7330] lr: 1.000e-04, eta: 21:07:09, time: 0.852, data_time: 0.043, memory: 18039, loss_rpn_cls: 0.0868, loss_rpn_bbox: 0.0900, loss_cls: 0.3905, acc: 90.6018, loss_bbox: 0.3415, loss_mask: 0.4775, loss: 1.3863 2024-06-01 22:36:11,072 - mmdet - INFO - Epoch [1][750/7330] lr: 1.000e-04, eta: 21:04:10, time: 0.848, data_time: 0.041, memory: 18039, loss_rpn_cls: 0.0798, loss_rpn_bbox: 0.0876, loss_cls: 0.3833, acc: 90.6570, loss_bbox: 0.3361, loss_mask: 0.4672, loss: 1.3540 2024-06-01 22:36:55,153 - mmdet - INFO - Epoch [1][800/7330] lr: 1.000e-04, eta: 21:04:31, time: 0.882, data_time: 0.040, memory: 18039, loss_rpn_cls: 0.0792, loss_rpn_bbox: 0.0823, loss_cls: 0.3874, acc: 90.4607, loss_bbox: 0.3364, loss_mask: 0.4580, loss: 1.3433 2024-06-01 22:37:39,812 - mmdet - INFO - Epoch [1][850/7330] lr: 1.000e-04, eta: 21:05:44, time: 0.893, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0794, loss_rpn_bbox: 0.0884, loss_cls: 0.3698, acc: 90.4045, loss_bbox: 0.3418, loss_mask: 0.4582, loss: 1.3375 2024-06-01 22:38:22,159 - mmdet - INFO - Epoch [1][900/7330] lr: 1.000e-04, eta: 21:03:00, time: 0.847, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0763, loss_rpn_bbox: 0.0883, loss_cls: 0.3654, acc: 90.1711, loss_bbox: 0.3516, loss_mask: 0.4432, loss: 1.3248 2024-06-01 22:39:11,488 - mmdet - INFO - Epoch [1][950/7330] lr: 1.000e-04, eta: 21:11:08, time: 0.987, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0778, loss_rpn_bbox: 0.0864, loss_cls: 0.3457, acc: 90.6204, loss_bbox: 0.3385, loss_mask: 0.4440, loss: 1.2924 2024-06-01 22:39:55,990 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-01 22:39:55,990 - mmdet - INFO - Epoch [1][1000/7330] lr: 1.000e-04, eta: 21:11:23, time: 0.890, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0697, loss_rpn_bbox: 0.0809, loss_cls: 0.3510, acc: 90.4937, loss_bbox: 0.3426, loss_mask: 0.4322, loss: 1.2764 2024-06-01 22:40:38,199 - mmdet - INFO - Epoch [1][1050/7330] lr: 1.000e-04, eta: 21:08:23, time: 0.844, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0704, loss_rpn_bbox: 0.0820, loss_cls: 0.3655, acc: 90.0635, loss_bbox: 0.3567, loss_mask: 0.4353, loss: 1.3099 2024-06-01 22:41:20,175 - mmdet - INFO - Epoch [1][1100/7330] lr: 1.000e-04, eta: 21:05:16, time: 0.840, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0701, loss_rpn_bbox: 0.0885, loss_cls: 0.3605, acc: 90.0615, loss_bbox: 0.3564, loss_mask: 0.4236, loss: 1.2991 2024-06-01 22:42:02,246 - mmdet - INFO - Epoch [1][1150/7330] lr: 1.000e-04, eta: 21:02:29, time: 0.841, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0678, loss_rpn_bbox: 0.0838, loss_cls: 0.3574, acc: 90.1990, loss_bbox: 0.3564, loss_mask: 0.4269, loss: 1.2921 2024-06-01 22:42:44,367 - mmdet - INFO - Epoch [1][1200/7330] lr: 1.000e-04, eta: 20:59:57, time: 0.842, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0639, loss_rpn_bbox: 0.0791, loss_cls: 0.3389, acc: 90.2227, loss_bbox: 0.3552, loss_mask: 0.4129, loss: 1.2500 2024-06-01 22:43:27,025 - mmdet - INFO - Epoch [1][1250/7330] lr: 1.000e-04, eta: 20:58:10, time: 0.853, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0697, loss_rpn_bbox: 0.0821, loss_cls: 0.3466, acc: 90.0723, loss_bbox: 0.3624, loss_mask: 0.4186, loss: 1.2794 2024-06-01 22:44:09,037 - mmdet - INFO - Epoch [1][1300/7330] lr: 1.000e-04, eta: 20:55:45, time: 0.840, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0638, loss_rpn_bbox: 0.0815, loss_cls: 0.3416, acc: 90.1626, loss_bbox: 0.3552, loss_mask: 0.4206, loss: 1.2627 2024-06-01 22:44:54,341 - mmdet - INFO - Epoch [1][1350/7330] lr: 1.000e-04, eta: 20:56:59, time: 0.906, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0652, loss_rpn_bbox: 0.0843, loss_cls: 0.3402, acc: 90.0947, loss_bbox: 0.3580, loss_mask: 0.4060, loss: 1.2537 2024-06-01 22:45:37,984 - mmdet - INFO - Epoch [1][1400/7330] lr: 1.000e-04, eta: 20:56:22, time: 0.873, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0817, loss_cls: 0.3354, acc: 90.2625, loss_bbox: 0.3512, loss_mask: 0.4066, loss: 1.2375 2024-06-01 22:46:25,466 - mmdet - INFO - Epoch [1][1450/7330] lr: 1.000e-04, eta: 20:59:33, time: 0.950, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0771, loss_cls: 0.3339, acc: 90.2444, loss_bbox: 0.3486, loss_mask: 0.4024, loss: 1.2239 2024-06-01 22:47:11,443 - mmdet - INFO - Epoch [1][1500/7330] lr: 1.000e-04, eta: 21:01:02, time: 0.920, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0629, loss_rpn_bbox: 0.0781, loss_cls: 0.3349, acc: 90.0952, loss_bbox: 0.3594, loss_mask: 0.3972, loss: 1.2324 2024-06-01 22:47:53,317 - mmdet - INFO - Epoch [1][1550/7330] lr: 1.000e-04, eta: 20:58:33, time: 0.837, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0809, loss_cls: 0.3285, acc: 90.2412, loss_bbox: 0.3524, loss_mask: 0.3903, loss: 1.2106 2024-06-01 22:48:35,464 - mmdet - INFO - Epoch [1][1600/7330] lr: 1.000e-04, eta: 20:56:26, time: 0.843, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0776, loss_cls: 0.3292, acc: 90.2043, loss_bbox: 0.3509, loss_mask: 0.3858, loss: 1.2039 2024-06-01 22:49:17,614 - mmdet - INFO - Epoch [1][1650/7330] lr: 1.000e-04, eta: 20:54:24, time: 0.843, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0782, loss_cls: 0.3356, acc: 89.9397, loss_bbox: 0.3661, loss_mask: 0.3878, loss: 1.2267 2024-06-01 22:50:00,058 - mmdet - INFO - Epoch [1][1700/7330] lr: 1.000e-04, eta: 20:52:42, time: 0.849, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0769, loss_cls: 0.3317, acc: 90.1973, loss_bbox: 0.3520, loss_mask: 0.3871, loss: 1.2075 2024-06-01 22:50:42,345 - mmdet - INFO - Epoch [1][1750/7330] lr: 1.000e-04, eta: 20:50:55, time: 0.846, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0772, loss_cls: 0.3302, acc: 90.0920, loss_bbox: 0.3477, loss_mask: 0.3859, loss: 1.1992 2024-06-01 22:51:25,762 - mmdet - INFO - Epoch [1][1800/7330] lr: 1.000e-04, eta: 20:50:05, time: 0.868, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0859, loss_cls: 0.3410, acc: 89.8323, loss_bbox: 0.3678, loss_mask: 0.3959, loss: 1.2532 2024-06-01 22:52:09,706 - mmdet - INFO - Epoch [1][1850/7330] lr: 1.000e-04, eta: 20:49:42, time: 0.879, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0746, loss_cls: 0.3277, acc: 90.1431, loss_bbox: 0.3517, loss_mask: 0.3814, loss: 1.1881 2024-06-01 22:52:57,384 - mmdet - INFO - Epoch [1][1900/7330] lr: 1.000e-04, eta: 20:52:06, time: 0.953, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0727, loss_cls: 0.3202, acc: 90.4028, loss_bbox: 0.3434, loss_mask: 0.3878, loss: 1.1773 2024-06-01 22:53:39,918 - mmdet - INFO - Epoch [1][1950/7330] lr: 1.000e-04, eta: 20:50:33, time: 0.851, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0722, loss_cls: 0.3168, acc: 90.4482, loss_bbox: 0.3428, loss_mask: 0.3731, loss: 1.1585 2024-06-01 22:54:25,730 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-01 22:54:25,730 - mmdet - INFO - Epoch [1][2000/7330] lr: 1.000e-04, eta: 20:51:24, time: 0.916, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0740, loss_cls: 0.3162, acc: 90.2649, loss_bbox: 0.3493, loss_mask: 0.3724, loss: 1.1671 2024-06-01 22:55:09,610 - mmdet - INFO - Epoch [1][2050/7330] lr: 1.000e-04, eta: 20:50:49, time: 0.878, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0792, loss_cls: 0.3292, acc: 90.0654, loss_bbox: 0.3566, loss_mask: 0.3725, loss: 1.1919 2024-06-01 22:55:51,940 - mmdet - INFO - Epoch [1][2100/7330] lr: 1.000e-04, eta: 20:49:10, time: 0.847, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0767, loss_cls: 0.3152, acc: 90.1868, loss_bbox: 0.3490, loss_mask: 0.3650, loss: 1.1594 2024-06-01 22:56:33,742 - mmdet - INFO - Epoch [1][2150/7330] lr: 1.000e-04, eta: 20:47:12, time: 0.836, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0745, loss_cls: 0.3149, acc: 90.4419, loss_bbox: 0.3396, loss_mask: 0.3678, loss: 1.1466 2024-06-01 22:57:15,288 - mmdet - INFO - Epoch [1][2200/7330] lr: 1.000e-04, eta: 20:45:09, time: 0.831, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0743, loss_cls: 0.3057, acc: 90.8037, loss_bbox: 0.3314, loss_mask: 0.3666, loss: 1.1355 2024-06-01 22:57:58,200 - mmdet - INFO - Epoch [1][2250/7330] lr: 1.000e-04, eta: 20:44:01, time: 0.858, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0768, loss_cls: 0.3221, acc: 89.9468, loss_bbox: 0.3574, loss_mask: 0.3676, loss: 1.1797 2024-06-01 22:58:42,835 - mmdet - INFO - Epoch [1][2300/7330] lr: 1.000e-04, eta: 20:43:58, time: 0.893, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0749, loss_cls: 0.3250, acc: 89.9871, loss_bbox: 0.3557, loss_mask: 0.3677, loss: 1.1732 2024-06-01 22:59:31,031 - mmdet - INFO - Epoch [1][2350/7330] lr: 1.000e-04, eta: 20:46:03, time: 0.964, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0780, loss_cls: 0.3248, acc: 89.9778, loss_bbox: 0.3612, loss_mask: 0.3644, loss: 1.1855 2024-06-01 23:00:13,529 - mmdet - INFO - Epoch [1][2400/7330] lr: 1.000e-04, eta: 20:44:38, time: 0.850, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0745, loss_cls: 0.3145, acc: 90.3110, loss_bbox: 0.3459, loss_mask: 0.3636, loss: 1.1482 2024-06-01 23:00:55,585 - mmdet - INFO - Epoch [1][2450/7330] lr: 1.000e-04, eta: 20:42:59, time: 0.841, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0738, loss_cls: 0.3100, acc: 90.4133, loss_bbox: 0.3396, loss_mask: 0.3629, loss: 1.1394 2024-06-01 23:01:39,204 - mmdet - INFO - Epoch [1][2500/7330] lr: 1.000e-04, eta: 20:42:15, time: 0.872, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0711, loss_cls: 0.3212, acc: 89.9729, loss_bbox: 0.3523, loss_mask: 0.3587, loss: 1.1549 2024-06-01 23:02:25,351 - mmdet - INFO - Epoch [1][2550/7330] lr: 1.000e-04, eta: 20:42:57, time: 0.923, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0724, loss_cls: 0.3167, acc: 89.9614, loss_bbox: 0.3570, loss_mask: 0.3629, loss: 1.1607 2024-06-01 23:03:08,065 - mmdet - INFO - Epoch [1][2600/7330] lr: 1.000e-04, eta: 20:41:42, time: 0.854, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0719, loss_cls: 0.3076, acc: 90.4885, loss_bbox: 0.3399, loss_mask: 0.3502, loss: 1.1226 2024-06-01 23:03:50,459 - mmdet - INFO - Epoch [1][2650/7330] lr: 1.000e-04, eta: 20:40:18, time: 0.848, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0740, loss_cls: 0.3147, acc: 90.1772, loss_bbox: 0.3514, loss_mask: 0.3584, loss: 1.1531 2024-06-01 23:04:32,459 - mmdet - INFO - Epoch [1][2700/7330] lr: 1.000e-04, eta: 20:38:44, time: 0.840, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0701, loss_cls: 0.3007, acc: 90.5552, loss_bbox: 0.3362, loss_mask: 0.3489, loss: 1.1023 2024-06-01 23:05:14,900 - mmdet - INFO - Epoch [1][2750/7330] lr: 1.000e-04, eta: 20:37:24, time: 0.849, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0814, loss_cls: 0.3239, acc: 89.8801, loss_bbox: 0.3587, loss_mask: 0.3582, loss: 1.1760 2024-06-01 23:06:02,549 - mmdet - INFO - Epoch [1][2800/7330] lr: 1.000e-04, eta: 20:38:45, time: 0.953, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0716, loss_cls: 0.2995, acc: 90.4819, loss_bbox: 0.3432, loss_mask: 0.3461, loss: 1.1114 2024-06-01 23:06:47,240 - mmdet - INFO - Epoch [1][2850/7330] lr: 1.000e-04, eta: 20:38:33, time: 0.894, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0730, loss_cls: 0.2959, acc: 90.6108, loss_bbox: 0.3360, loss_mask: 0.3412, loss: 1.0944 2024-06-01 23:07:29,258 - mmdet - INFO - Epoch [1][2900/7330] lr: 1.000e-04, eta: 20:37:01, time: 0.840, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0738, loss_cls: 0.3087, acc: 90.4011, loss_bbox: 0.3475, loss_mask: 0.3513, loss: 1.1347 2024-06-01 23:08:12,187 - mmdet - INFO - Epoch [1][2950/7330] lr: 1.000e-04, eta: 20:35:57, time: 0.859, data_time: 0.035, memory: 18040, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0725, loss_cls: 0.3024, acc: 90.4729, loss_bbox: 0.3455, loss_mask: 0.3479, loss: 1.1183 2024-06-01 23:08:56,927 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-01 23:08:56,927 - mmdet - INFO - Epoch [1][3000/7330] lr: 1.000e-04, eta: 20:35:45, time: 0.895, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0768, loss_cls: 0.3117, acc: 90.2866, loss_bbox: 0.3415, loss_mask: 0.3460, loss: 1.1249 2024-06-01 23:09:40,826 - mmdet - INFO - Epoch [1][3050/7330] lr: 1.000e-04, eta: 20:35:09, time: 0.878, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0727, loss_cls: 0.3031, acc: 90.2820, loss_bbox: 0.3493, loss_mask: 0.3467, loss: 1.1198 2024-06-01 23:10:25,763 - mmdet - INFO - Epoch [1][3100/7330] lr: 1.000e-04, eta: 20:35:01, time: 0.899, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0708, loss_cls: 0.3100, acc: 90.2407, loss_bbox: 0.3477, loss_mask: 0.3507, loss: 1.1266 2024-06-01 23:11:07,604 - mmdet - INFO - Epoch [1][3150/7330] lr: 1.000e-04, eta: 20:33:27, time: 0.836, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0688, loss_cls: 0.3044, acc: 90.3926, loss_bbox: 0.3427, loss_mask: 0.3465, loss: 1.1085 2024-06-01 23:11:49,393 - mmdet - INFO - Epoch [1][3200/7330] lr: 1.000e-04, eta: 20:31:56, time: 0.836, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0714, loss_cls: 0.3011, acc: 90.3792, loss_bbox: 0.3410, loss_mask: 0.3414, loss: 1.1030 2024-06-01 23:12:35,425 - mmdet - INFO - Epoch [1][3250/7330] lr: 1.000e-04, eta: 20:32:16, time: 0.921, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0715, loss_cls: 0.3053, acc: 90.3435, loss_bbox: 0.3396, loss_mask: 0.3461, loss: 1.1122 2024-06-01 23:13:17,735 - mmdet - INFO - Epoch [1][3300/7330] lr: 1.000e-04, eta: 20:30:58, time: 0.846, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0658, loss_cls: 0.2955, acc: 90.4890, loss_bbox: 0.3383, loss_mask: 0.3410, loss: 1.0878 2024-06-01 23:14:04,626 - mmdet - INFO - Epoch [1][3350/7330] lr: 1.000e-04, eta: 20:31:37, time: 0.938, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0662, loss_cls: 0.2924, acc: 90.8247, loss_bbox: 0.3311, loss_mask: 0.3372, loss: 1.0733 2024-06-01 23:14:47,233 - mmdet - INFO - Epoch [1][3400/7330] lr: 1.000e-04, eta: 20:30:27, time: 0.852, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0754, loss_cls: 0.3058, acc: 90.2632, loss_bbox: 0.3472, loss_mask: 0.3385, loss: 1.1157 2024-06-01 23:15:31,255 - mmdet - INFO - Epoch [1][3450/7330] lr: 1.000e-04, eta: 20:29:52, time: 0.880, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0721, loss_cls: 0.3008, acc: 90.2056, loss_bbox: 0.3454, loss_mask: 0.3429, loss: 1.1076 2024-06-01 23:16:13,596 - mmdet - INFO - Epoch [1][3500/7330] lr: 1.000e-04, eta: 20:28:36, time: 0.847, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0711, loss_cls: 0.2920, acc: 90.5332, loss_bbox: 0.3424, loss_mask: 0.3426, loss: 1.0937 2024-06-01 23:16:58,693 - mmdet - INFO - Epoch [1][3550/7330] lr: 1.000e-04, eta: 20:28:27, time: 0.902, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0727, loss_cls: 0.3111, acc: 90.1079, loss_bbox: 0.3507, loss_mask: 0.3415, loss: 1.1224 2024-06-01 23:17:42,973 - mmdet - INFO - Epoch [1][3600/7330] lr: 1.000e-04, eta: 20:27:58, time: 0.886, data_time: 0.037, memory: 18040, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0676, loss_cls: 0.2884, acc: 90.7805, loss_bbox: 0.3309, loss_mask: 0.3259, loss: 1.0580 2024-06-01 23:18:25,197 - mmdet - INFO - Epoch [1][3650/7330] lr: 1.000e-04, eta: 20:26:41, time: 0.844, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0677, loss_cls: 0.2981, acc: 90.4053, loss_bbox: 0.3418, loss_mask: 0.3320, loss: 1.0829 2024-06-01 23:19:11,587 - mmdet - INFO - Epoch [1][3700/7330] lr: 1.000e-04, eta: 20:27:00, time: 0.928, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0718, loss_cls: 0.3064, acc: 90.2568, loss_bbox: 0.3451, loss_mask: 0.3362, loss: 1.1059 2024-06-01 23:19:54,546 - mmdet - INFO - Epoch [1][3750/7330] lr: 1.000e-04, eta: 20:26:00, time: 0.859, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0703, loss_cls: 0.2975, acc: 90.5439, loss_bbox: 0.3374, loss_mask: 0.3331, loss: 1.0832 2024-06-01 23:20:38,876 - mmdet - INFO - Epoch [1][3800/7330] lr: 1.000e-04, eta: 20:25:31, time: 0.887, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0717, loss_cls: 0.2972, acc: 90.5374, loss_bbox: 0.3384, loss_mask: 0.3373, loss: 1.0938 2024-06-01 23:21:23,584 - mmdet - INFO - Epoch [1][3850/7330] lr: 1.000e-04, eta: 20:25:09, time: 0.894, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0666, loss_cls: 0.2920, acc: 90.8975, loss_bbox: 0.3285, loss_mask: 0.3414, loss: 1.0729 2024-06-01 23:22:06,078 - mmdet - INFO - Epoch [1][3900/7330] lr: 1.000e-04, eta: 20:24:00, time: 0.850, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0670, loss_cls: 0.2912, acc: 90.5291, loss_bbox: 0.3383, loss_mask: 0.3303, loss: 1.0685 2024-06-01 23:22:50,299 - mmdet - INFO - Epoch [1][3950/7330] lr: 1.000e-04, eta: 20:23:28, time: 0.884, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0659, loss_cls: 0.2929, acc: 90.5752, loss_bbox: 0.3416, loss_mask: 0.3367, loss: 1.0844 2024-06-01 23:23:34,479 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-01 23:23:34,479 - mmdet - INFO - Epoch [1][4000/7330] lr: 1.000e-04, eta: 20:22:54, time: 0.884, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0623, loss_cls: 0.2803, acc: 90.8682, loss_bbox: 0.3293, loss_mask: 0.3245, loss: 1.0399 2024-06-01 23:24:17,040 - mmdet - INFO - Epoch [1][4050/7330] lr: 1.000e-04, eta: 20:21:47, time: 0.851, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0677, loss_cls: 0.2837, acc: 90.8645, loss_bbox: 0.3257, loss_mask: 0.3276, loss: 1.0509 2024-06-01 23:24:59,165 - mmdet - INFO - Epoch [1][4100/7330] lr: 1.000e-04, eta: 20:20:31, time: 0.842, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0670, loss_cls: 0.2891, acc: 90.6165, loss_bbox: 0.3340, loss_mask: 0.3323, loss: 1.0664 2024-06-01 23:25:47,781 - mmdet - INFO - Epoch [1][4150/7330] lr: 1.000e-04, eta: 20:21:28, time: 0.972, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0677, loss_cls: 0.2941, acc: 90.3484, loss_bbox: 0.3448, loss_mask: 0.3297, loss: 1.0819 2024-06-01 23:26:30,124 - mmdet - INFO - Epoch [1][4200/7330] lr: 1.000e-04, eta: 20:20:16, time: 0.847, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0681, loss_cls: 0.2942, acc: 90.3406, loss_bbox: 0.3433, loss_mask: 0.3286, loss: 1.0830 2024-06-01 23:27:12,734 - mmdet - INFO - Epoch [1][4250/7330] lr: 1.000e-04, eta: 20:19:11, time: 0.852, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0688, loss_cls: 0.2927, acc: 90.4048, loss_bbox: 0.3376, loss_mask: 0.3243, loss: 1.0694 2024-06-01 23:27:55,077 - mmdet - INFO - Epoch [1][4300/7330] lr: 1.000e-04, eta: 20:18:01, time: 0.847, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0694, loss_cls: 0.2858, acc: 91.0320, loss_bbox: 0.3254, loss_mask: 0.3283, loss: 1.0564 2024-06-01 23:28:39,330 - mmdet - INFO - Epoch [1][4350/7330] lr: 1.000e-04, eta: 20:17:28, time: 0.885, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0686, loss_cls: 0.2883, acc: 90.6260, loss_bbox: 0.3317, loss_mask: 0.3218, loss: 1.0542 2024-06-01 23:29:24,632 - mmdet - INFO - Epoch [1][4400/7330] lr: 1.000e-04, eta: 20:17:16, time: 0.906, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0672, loss_cls: 0.2822, acc: 90.7119, loss_bbox: 0.3286, loss_mask: 0.3274, loss: 1.0500 2024-06-01 23:30:09,206 - mmdet - INFO - Epoch [1][4450/7330] lr: 1.000e-04, eta: 20:16:48, time: 0.892, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0688, loss_cls: 0.2827, acc: 90.7983, loss_bbox: 0.3253, loss_mask: 0.3237, loss: 1.0461 2024-06-01 23:30:53,592 - mmdet - INFO - Epoch [1][4500/7330] lr: 1.000e-04, eta: 20:16:17, time: 0.888, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0637, loss_cls: 0.2893, acc: 90.4736, loss_bbox: 0.3349, loss_mask: 0.3230, loss: 1.0545 2024-06-01 23:31:36,365 - mmdet - INFO - Epoch [1][4550/7330] lr: 1.000e-04, eta: 20:15:16, time: 0.855, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0694, loss_cls: 0.2921, acc: 90.4229, loss_bbox: 0.3382, loss_mask: 0.3282, loss: 1.0731 2024-06-01 23:32:22,157 - mmdet - INFO - Epoch [1][4600/7330] lr: 1.000e-04, eta: 20:15:10, time: 0.916, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0673, loss_cls: 0.2781, acc: 90.9346, loss_bbox: 0.3277, loss_mask: 0.3257, loss: 1.0407 2024-06-01 23:33:04,487 - mmdet - INFO - Epoch [1][4650/7330] lr: 1.000e-04, eta: 20:14:01, time: 0.847, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0640, loss_cls: 0.2847, acc: 90.7935, loss_bbox: 0.3277, loss_mask: 0.3202, loss: 1.0372 2024-06-01 23:33:49,629 - mmdet - INFO - Epoch [1][4700/7330] lr: 1.000e-04, eta: 20:13:43, time: 0.903, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0674, loss_cls: 0.2890, acc: 90.4795, loss_bbox: 0.3298, loss_mask: 0.3229, loss: 1.0534 2024-06-01 23:34:32,090 - mmdet - INFO - Epoch [1][4750/7330] lr: 1.000e-04, eta: 20:12:37, time: 0.849, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0678, loss_cls: 0.2932, acc: 90.5735, loss_bbox: 0.3371, loss_mask: 0.3303, loss: 1.0737 2024-06-01 23:35:16,369 - mmdet - INFO - Epoch [1][4800/7330] lr: 1.000e-04, eta: 20:12:03, time: 0.886, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0688, loss_cls: 0.2898, acc: 90.5806, loss_bbox: 0.3317, loss_mask: 0.3258, loss: 1.0619 2024-06-01 23:35:58,970 - mmdet - INFO - Epoch [1][4850/7330] lr: 1.000e-04, eta: 20:11:00, time: 0.852, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0686, loss_cls: 0.2813, acc: 90.8665, loss_bbox: 0.3320, loss_mask: 0.3255, loss: 1.0508 2024-06-01 23:36:43,715 - mmdet - INFO - Epoch [1][4900/7330] lr: 1.000e-04, eta: 20:10:33, time: 0.895, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0650, loss_cls: 0.2711, acc: 91.1536, loss_bbox: 0.3176, loss_mask: 0.3135, loss: 1.0051 2024-06-01 23:37:26,004 - mmdet - INFO - Epoch [1][4950/7330] lr: 1.000e-04, eta: 20:09:26, time: 0.846, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0652, loss_cls: 0.2800, acc: 91.0391, loss_bbox: 0.3151, loss_mask: 0.3184, loss: 1.0208 2024-06-01 23:38:12,330 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-01 23:38:12,330 - mmdet - INFO - Epoch [1][5000/7330] lr: 1.000e-04, eta: 20:09:25, time: 0.926, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0591, loss_cls: 0.2838, acc: 90.9607, loss_bbox: 0.3184, loss_mask: 0.3076, loss: 1.0066 2024-06-01 23:38:58,097 - mmdet - INFO - Epoch [1][5050/7330] lr: 1.000e-04, eta: 20:09:15, time: 0.915, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0651, loss_cls: 0.2825, acc: 90.8525, loss_bbox: 0.3217, loss_mask: 0.3167, loss: 1.0295 2024-06-01 23:39:40,631 - mmdet - INFO - Epoch [1][5100/7330] lr: 1.000e-04, eta: 20:08:11, time: 0.851, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0615, loss_cls: 0.2794, acc: 90.8433, loss_bbox: 0.3229, loss_mask: 0.3187, loss: 1.0247 2024-06-01 23:40:22,926 - mmdet - INFO - Epoch [1][5150/7330] lr: 1.000e-04, eta: 20:07:04, time: 0.846, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0638, loss_cls: 0.2809, acc: 90.6553, loss_bbox: 0.3319, loss_mask: 0.3204, loss: 1.0371 2024-06-01 23:41:07,241 - mmdet - INFO - Epoch [1][5200/7330] lr: 1.000e-04, eta: 20:06:30, time: 0.886, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0653, loss_cls: 0.2883, acc: 90.4956, loss_bbox: 0.3388, loss_mask: 0.3227, loss: 1.0566 2024-06-01 23:41:49,993 - mmdet - INFO - Epoch [1][5250/7330] lr: 1.000e-04, eta: 20:05:31, time: 0.855, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0660, loss_cls: 0.2855, acc: 90.6152, loss_bbox: 0.3278, loss_mask: 0.3208, loss: 1.0414 2024-06-01 23:42:33,966 - mmdet - INFO - Epoch [1][5300/7330] lr: 1.000e-04, eta: 20:04:51, time: 0.879, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0635, loss_cls: 0.2739, acc: 90.9675, loss_bbox: 0.3176, loss_mask: 0.3179, loss: 1.0109 2024-06-01 23:43:16,447 - mmdet - INFO - Epoch [1][5350/7330] lr: 1.000e-04, eta: 20:03:48, time: 0.850, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0658, loss_cls: 0.2797, acc: 90.8428, loss_bbox: 0.3193, loss_mask: 0.3121, loss: 1.0153 2024-06-01 23:43:58,847 - mmdet - INFO - Epoch [1][5400/7330] lr: 1.000e-04, eta: 20:02:44, time: 0.848, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0626, loss_cls: 0.2804, acc: 90.8672, loss_bbox: 0.3233, loss_mask: 0.3149, loss: 1.0201 2024-06-01 23:44:49,933 - mmdet - INFO - Epoch [1][5450/7330] lr: 1.000e-04, eta: 20:03:52, time: 1.022, data_time: 0.184, memory: 18040, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0633, loss_cls: 0.2627, acc: 91.4563, loss_bbox: 0.3112, loss_mask: 0.3096, loss: 0.9874 2024-06-01 23:45:36,339 - mmdet - INFO - Epoch [1][5500/7330] lr: 1.000e-04, eta: 20:03:48, time: 0.928, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0657, loss_cls: 0.2708, acc: 91.0491, loss_bbox: 0.3244, loss_mask: 0.3125, loss: 1.0173 2024-06-01 23:46:20,531 - mmdet - INFO - Epoch [1][5550/7330] lr: 1.000e-04, eta: 20:03:10, time: 0.884, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0672, loss_cls: 0.2871, acc: 90.6519, loss_bbox: 0.3319, loss_mask: 0.3202, loss: 1.0490 2024-06-01 23:47:05,426 - mmdet - INFO - Epoch [1][5600/7330] lr: 1.000e-04, eta: 20:02:42, time: 0.898, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0654, loss_cls: 0.2798, acc: 90.7822, loss_bbox: 0.3252, loss_mask: 0.3185, loss: 1.0316 2024-06-01 23:47:48,124 - mmdet - INFO - Epoch [1][5650/7330] lr: 1.000e-04, eta: 20:01:42, time: 0.854, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0685, loss_cls: 0.2884, acc: 90.6687, loss_bbox: 0.3268, loss_mask: 0.3281, loss: 1.0549 2024-06-01 23:48:30,227 - mmdet - INFO - Epoch [1][5700/7330] lr: 1.000e-04, eta: 20:00:34, time: 0.842, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0588, loss_cls: 0.2524, acc: 91.5259, loss_bbox: 0.3008, loss_mask: 0.3034, loss: 0.9526 2024-06-01 23:49:16,092 - mmdet - INFO - Epoch [1][5750/7330] lr: 1.000e-04, eta: 20:00:20, time: 0.917, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0603, loss_cls: 0.2618, acc: 91.3218, loss_bbox: 0.3032, loss_mask: 0.3096, loss: 0.9732 2024-06-01 23:49:57,593 - mmdet - INFO - Epoch [1][5800/7330] lr: 1.000e-04, eta: 19:59:03, time: 0.830, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0606, loss_cls: 0.2765, acc: 90.9417, loss_bbox: 0.3214, loss_mask: 0.3137, loss: 1.0106 2024-06-01 23:50:39,808 - mmdet - INFO - Epoch [1][5850/7330] lr: 1.000e-04, eta: 19:57:58, time: 0.844, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0618, loss_cls: 0.2692, acc: 91.0876, loss_bbox: 0.3167, loss_mask: 0.3112, loss: 0.9981 2024-06-01 23:51:22,332 - mmdet - INFO - Epoch [1][5900/7330] lr: 1.000e-04, eta: 19:56:56, time: 0.850, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0666, loss_cls: 0.2752, acc: 91.0549, loss_bbox: 0.3186, loss_mask: 0.3094, loss: 1.0072 2024-06-01 23:52:12,145 - mmdet - INFO - Epoch [1][5950/7330] lr: 1.000e-04, eta: 19:57:36, time: 0.996, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0663, loss_cls: 0.2680, acc: 91.1204, loss_bbox: 0.3170, loss_mask: 0.3087, loss: 0.9985 2024-06-01 23:52:57,385 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-01 23:52:57,385 - mmdet - INFO - Epoch [1][6000/7330] lr: 1.000e-04, eta: 19:57:12, time: 0.905, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0648, loss_cls: 0.2678, acc: 91.1716, loss_bbox: 0.3186, loss_mask: 0.3200, loss: 1.0100 2024-06-01 23:53:41,735 - mmdet - INFO - Epoch [1][6050/7330] lr: 1.000e-04, eta: 19:56:35, time: 0.887, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0635, loss_cls: 0.2788, acc: 90.7737, loss_bbox: 0.3297, loss_mask: 0.3101, loss: 1.0217 2024-06-01 23:54:26,257 - mmdet - INFO - Epoch [1][6100/7330] lr: 1.000e-04, eta: 19:56:01, time: 0.890, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0650, loss_cls: 0.2775, acc: 90.9377, loss_bbox: 0.3215, loss_mask: 0.3197, loss: 1.0242 2024-06-01 23:55:08,861 - mmdet - INFO - Epoch [1][6150/7330] lr: 1.000e-04, eta: 19:55:00, time: 0.852, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0660, loss_cls: 0.2765, acc: 90.8525, loss_bbox: 0.3211, loss_mask: 0.3115, loss: 1.0138 2024-06-01 23:55:52,203 - mmdet - INFO - Epoch [1][6200/7330] lr: 1.000e-04, eta: 19:54:10, time: 0.867, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0657, loss_cls: 0.2801, acc: 90.6274, loss_bbox: 0.3285, loss_mask: 0.3170, loss: 1.0333 2024-06-01 23:56:36,561 - mmdet - INFO - Epoch [1][6250/7330] lr: 1.000e-04, eta: 19:53:34, time: 0.887, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0620, loss_cls: 0.2802, acc: 90.7505, loss_bbox: 0.3273, loss_mask: 0.3161, loss: 1.0267 2024-06-01 23:57:21,350 - mmdet - INFO - Epoch [1][6300/7330] lr: 1.000e-04, eta: 19:53:02, time: 0.896, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0636, loss_cls: 0.2698, acc: 90.9680, loss_bbox: 0.3213, loss_mask: 0.3154, loss: 1.0080 2024-06-01 23:58:03,804 - mmdet - INFO - Epoch [1][6350/7330] lr: 1.000e-04, eta: 19:52:01, time: 0.849, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0616, loss_cls: 0.2622, acc: 91.3196, loss_bbox: 0.3105, loss_mask: 0.3030, loss: 0.9728 2024-06-01 23:58:48,207 - mmdet - INFO - Epoch [1][6400/7330] lr: 1.000e-04, eta: 19:51:24, time: 0.888, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0636, loss_cls: 0.2718, acc: 91.0034, loss_bbox: 0.3240, loss_mask: 0.2996, loss: 0.9983 2024-06-01 23:59:30,427 - mmdet - INFO - Epoch [1][6450/7330] lr: 1.000e-04, eta: 19:50:20, time: 0.844, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0615, loss_cls: 0.2544, acc: 91.4087, loss_bbox: 0.3076, loss_mask: 0.3063, loss: 0.9664 2024-06-02 00:00:17,831 - mmdet - INFO - Epoch [1][6500/7330] lr: 1.000e-04, eta: 19:50:22, time: 0.948, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0644, loss_cls: 0.2751, acc: 90.8438, loss_bbox: 0.3249, loss_mask: 0.3096, loss: 1.0104 2024-06-02 00:01:00,790 - mmdet - INFO - Epoch [1][6550/7330] lr: 1.000e-04, eta: 19:49:27, time: 0.859, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0676, loss_cls: 0.2755, acc: 90.7764, loss_bbox: 0.3279, loss_mask: 0.3156, loss: 1.0285 2024-06-02 00:01:44,965 - mmdet - INFO - Epoch [1][6600/7330] lr: 1.000e-04, eta: 19:48:47, time: 0.884, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0611, loss_cls: 0.2761, acc: 90.8306, loss_bbox: 0.3208, loss_mask: 0.3088, loss: 1.0021 2024-06-02 00:02:29,282 - mmdet - INFO - Epoch [1][6650/7330] lr: 1.000e-04, eta: 19:48:09, time: 0.886, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0604, loss_cls: 0.2603, acc: 91.2590, loss_bbox: 0.3057, loss_mask: 0.3054, loss: 0.9713 2024-06-02 00:03:12,018 - mmdet - INFO - Epoch [1][6700/7330] lr: 1.000e-04, eta: 19:47:12, time: 0.855, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0635, loss_cls: 0.2679, acc: 91.0674, loss_bbox: 0.3160, loss_mask: 0.3060, loss: 0.9894 2024-06-02 00:03:56,429 - mmdet - INFO - Epoch [1][6750/7330] lr: 1.000e-04, eta: 19:46:35, time: 0.888, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0628, loss_cls: 0.2672, acc: 91.2583, loss_bbox: 0.3102, loss_mask: 0.3007, loss: 0.9776 2024-06-02 00:04:40,807 - mmdet - INFO - Epoch [1][6800/7330] lr: 1.000e-04, eta: 19:45:58, time: 0.888, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0638, loss_cls: 0.2747, acc: 90.9053, loss_bbox: 0.3173, loss_mask: 0.3123, loss: 1.0047 2024-06-02 00:05:25,214 - mmdet - INFO - Epoch [1][6850/7330] lr: 1.000e-04, eta: 19:45:21, time: 0.888, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0635, loss_cls: 0.2638, acc: 91.2834, loss_bbox: 0.3041, loss_mask: 0.2997, loss: 0.9713 2024-06-02 00:06:07,151 - mmdet - INFO - Epoch [1][6900/7330] lr: 1.000e-04, eta: 19:44:14, time: 0.839, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0640, loss_cls: 0.2589, acc: 91.2173, loss_bbox: 0.3134, loss_mask: 0.3097, loss: 0.9828 2024-06-02 00:06:53,960 - mmdet - INFO - Epoch [1][6950/7330] lr: 1.000e-04, eta: 19:44:05, time: 0.936, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0645, loss_cls: 0.2691, acc: 90.9939, loss_bbox: 0.3160, loss_mask: 0.3081, loss: 0.9948 2024-06-02 00:07:36,662 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 00:07:36,663 - mmdet - INFO - Epoch [1][7000/7330] lr: 1.000e-04, eta: 19:43:08, time: 0.854, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0599, loss_cls: 0.2675, acc: 91.1526, loss_bbox: 0.3091, loss_mask: 0.2981, loss: 0.9732 2024-06-02 00:08:21,080 - mmdet - INFO - Epoch [1][7050/7330] lr: 1.000e-04, eta: 19:42:31, time: 0.888, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0618, loss_cls: 0.2717, acc: 91.1565, loss_bbox: 0.3116, loss_mask: 0.3048, loss: 0.9872 2024-06-02 00:09:05,906 - mmdet - INFO - Epoch [1][7100/7330] lr: 1.000e-04, eta: 19:41:58, time: 0.897, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0627, loss_cls: 0.2678, acc: 91.0532, loss_bbox: 0.3160, loss_mask: 0.2995, loss: 0.9888 2024-06-02 00:09:51,288 - mmdet - INFO - Epoch [1][7150/7330] lr: 1.000e-04, eta: 19:41:32, time: 0.908, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0648, loss_cls: 0.2770, acc: 91.0107, loss_bbox: 0.3153, loss_mask: 0.3078, loss: 1.0057 2024-06-02 00:10:34,176 - mmdet - INFO - Epoch [1][7200/7330] lr: 1.000e-04, eta: 19:40:37, time: 0.858, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0628, loss_cls: 0.2587, acc: 91.4229, loss_bbox: 0.3069, loss_mask: 0.3056, loss: 0.9751 2024-06-02 00:11:18,335 - mmdet - INFO - Epoch [1][7250/7330] lr: 1.000e-04, eta: 19:39:56, time: 0.883, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0612, loss_cls: 0.2709, acc: 91.0635, loss_bbox: 0.3153, loss_mask: 0.2988, loss: 0.9808 2024-06-02 00:12:05,032 - mmdet - INFO - Epoch [1][7300/7330] lr: 1.000e-04, eta: 19:39:44, time: 0.934, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0612, loss_cls: 0.2571, acc: 91.4910, loss_bbox: 0.3003, loss_mask: 0.2991, loss: 0.9527 2024-06-02 00:12:31,101 - mmdet - INFO - Saving checkpoint at 1 epochs 2024-06-02 00:14:38,263 - mmdet - INFO - Evaluating bbox... 2024-06-02 00:15:05,008 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.307 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.568 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.301 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.164 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.343 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.450 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.433 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.433 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.433 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.239 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.474 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.605 2024-06-02 00:15:05,009 - mmdet - INFO - Evaluating segm... 2024-06-02 00:15:34,195 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.298 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.529 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.301 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.111 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.321 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.507 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.196 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.452 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.613 2024-06-02 00:15:34,626 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 00:15:34,627 - mmdet - INFO - Epoch(val) [1][625] bbox_mAP: 0.3070, bbox_mAP_50: 0.5680, bbox_mAP_75: 0.3010, bbox_mAP_s: 0.1640, bbox_mAP_m: 0.3430, bbox_mAP_l: 0.4500, bbox_mAP_copypaste: 0.307 0.568 0.301 0.164 0.343 0.450, segm_mAP: 0.2980, segm_mAP_50: 0.5290, segm_mAP_75: 0.3010, segm_mAP_s: 0.1110, segm_mAP_m: 0.3210, segm_mAP_l: 0.5070, segm_mAP_copypaste: 0.298 0.529 0.301 0.111 0.321 0.507 2024-06-02 00:16:33,636 - mmdet - INFO - Epoch [2][50/7330] lr: 1.000e-04, eta: 19:36:31, time: 1.180, data_time: 0.120, memory: 18040, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0609, loss_cls: 0.2602, acc: 91.2559, loss_bbox: 0.3100, loss_mask: 0.2999, loss: 0.9648 2024-06-02 00:17:16,894 - mmdet - INFO - Epoch [2][100/7330] lr: 1.000e-04, eta: 19:35:42, time: 0.865, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0599, loss_cls: 0.2579, acc: 91.3008, loss_bbox: 0.3063, loss_mask: 0.3039, loss: 0.9615 2024-06-02 00:18:00,392 - mmdet - INFO - Epoch [2][150/7330] lr: 1.000e-04, eta: 19:34:54, time: 0.870, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0591, loss_cls: 0.2522, acc: 91.4209, loss_bbox: 0.3041, loss_mask: 0.2941, loss: 0.9442 2024-06-02 00:18:45,486 - mmdet - INFO - Epoch [2][200/7330] lr: 1.000e-04, eta: 19:34:24, time: 0.902, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0561, loss_cls: 0.2495, acc: 91.5142, loss_bbox: 0.3025, loss_mask: 0.2957, loss: 0.9358 2024-06-02 00:19:31,397 - mmdet - INFO - Epoch [2][250/7330] lr: 1.000e-04, eta: 19:34:03, time: 0.918, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0657, loss_cls: 0.2610, acc: 91.1565, loss_bbox: 0.3157, loss_mask: 0.3094, loss: 0.9913 2024-06-02 00:20:14,246 - mmdet - INFO - Epoch [2][300/7330] lr: 1.000e-04, eta: 19:33:09, time: 0.857, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0575, loss_cls: 0.2450, acc: 91.7200, loss_bbox: 0.2943, loss_mask: 0.2954, loss: 0.9246 2024-06-02 00:21:00,305 - mmdet - INFO - Epoch [2][350/7330] lr: 1.000e-04, eta: 19:32:49, time: 0.921, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0603, loss_cls: 0.2539, acc: 91.4949, loss_bbox: 0.3016, loss_mask: 0.2919, loss: 0.9435 2024-06-02 00:21:43,144 - mmdet - INFO - Epoch [2][400/7330] lr: 1.000e-04, eta: 19:31:55, time: 0.857, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0579, loss_cls: 0.2564, acc: 91.2886, loss_bbox: 0.3066, loss_mask: 0.2903, loss: 0.9454 2024-06-02 00:22:26,554 - mmdet - INFO - Epoch [2][450/7330] lr: 1.000e-04, eta: 19:31:06, time: 0.868, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0600, loss_cls: 0.2548, acc: 91.3936, loss_bbox: 0.3055, loss_mask: 0.2925, loss: 0.9452 2024-06-02 00:23:09,332 - mmdet - INFO - Epoch [2][500/7330] lr: 1.000e-04, eta: 19:30:12, time: 0.856, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0589, loss_cls: 0.2610, acc: 91.3035, loss_bbox: 0.3043, loss_mask: 0.2939, loss: 0.9539 2024-06-02 00:23:58,774 - mmdet - INFO - Epoch [2][550/7330] lr: 1.000e-04, eta: 19:30:25, time: 0.989, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0606, loss_cls: 0.2615, acc: 91.1555, loss_bbox: 0.3134, loss_mask: 0.2990, loss: 0.9686 2024-06-02 00:24:44,520 - mmdet - INFO - Epoch [2][600/7330] lr: 1.000e-04, eta: 19:30:01, time: 0.915, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0587, loss_cls: 0.2505, acc: 91.5432, loss_bbox: 0.3007, loss_mask: 0.2949, loss: 0.9383 2024-06-02 00:25:27,861 - mmdet - INFO - Epoch [2][650/7330] lr: 1.000e-04, eta: 19:29:12, time: 0.867, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0593, loss_cls: 0.2528, acc: 91.4504, loss_bbox: 0.3012, loss_mask: 0.2900, loss: 0.9389 2024-06-02 00:26:12,932 - mmdet - INFO - Epoch [2][700/7330] lr: 1.000e-04, eta: 19:28:40, time: 0.901, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0616, loss_cls: 0.2586, acc: 91.1887, loss_bbox: 0.3142, loss_mask: 0.3025, loss: 0.9734 2024-06-02 00:26:58,480 - mmdet - INFO - Epoch [2][750/7330] lr: 1.000e-04, eta: 19:28:13, time: 0.911, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0622, loss_cls: 0.2533, acc: 91.4258, loss_bbox: 0.3042, loss_mask: 0.2972, loss: 0.9522 2024-06-02 00:27:42,304 - mmdet - INFO - Epoch [2][800/7330] lr: 1.000e-04, eta: 19:27:28, time: 0.877, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0568, loss_cls: 0.2502, acc: 91.5166, loss_bbox: 0.2983, loss_mask: 0.2913, loss: 0.9315 2024-06-02 00:28:29,142 - mmdet - INFO - Epoch [2][850/7330] lr: 1.000e-04, eta: 19:27:13, time: 0.937, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0592, loss_cls: 0.2541, acc: 91.4553, loss_bbox: 0.3035, loss_mask: 0.2960, loss: 0.9473 2024-06-02 00:29:11,832 - mmdet - INFO - Epoch [2][900/7330] lr: 1.000e-04, eta: 19:26:18, time: 0.854, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0584, loss_cls: 0.2487, acc: 91.6978, loss_bbox: 0.2949, loss_mask: 0.2911, loss: 0.9291 2024-06-02 00:29:56,248 - mmdet - INFO - Epoch [2][950/7330] lr: 1.000e-04, eta: 19:25:39, time: 0.888, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0589, loss_cls: 0.2468, acc: 91.7129, loss_bbox: 0.2983, loss_mask: 0.2945, loss: 0.9331 2024-06-02 00:30:39,255 - mmdet - INFO - Epoch [2][1000/7330] lr: 1.000e-04, eta: 19:24:47, time: 0.860, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0612, loss_cls: 0.2670, acc: 91.0300, loss_bbox: 0.3127, loss_mask: 0.2972, loss: 0.9736 2024-06-02 00:31:22,108 - mmdet - INFO - Epoch [2][1050/7330] lr: 1.000e-04, eta: 19:23:53, time: 0.857, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0583, loss_cls: 0.2591, acc: 91.2971, loss_bbox: 0.3052, loss_mask: 0.2929, loss: 0.9495 2024-06-02 00:32:06,538 - mmdet - INFO - Epoch [2][1100/7330] lr: 1.000e-04, eta: 19:23:14, time: 0.889, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0597, loss_cls: 0.2554, acc: 91.3557, loss_bbox: 0.3066, loss_mask: 0.2924, loss: 0.9459 2024-06-02 00:32:52,332 - mmdet - INFO - Epoch [2][1150/7330] lr: 1.000e-04, eta: 19:22:48, time: 0.916, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0654, loss_cls: 0.2587, acc: 91.0161, loss_bbox: 0.3216, loss_mask: 0.2987, loss: 0.9796 2024-06-02 00:33:37,484 - mmdet - INFO - Epoch [2][1200/7330] lr: 1.000e-04, eta: 19:22:16, time: 0.903, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0595, loss_cls: 0.2624, acc: 91.1345, loss_bbox: 0.3129, loss_mask: 0.2991, loss: 0.9694 2024-06-02 00:34:25,823 - mmdet - INFO - Epoch [2][1250/7330] lr: 1.000e-04, eta: 19:22:13, time: 0.967, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0593, loss_cls: 0.2497, acc: 91.3513, loss_bbox: 0.3063, loss_mask: 0.2899, loss: 0.9407 2024-06-02 00:35:08,948 - mmdet - INFO - Epoch [2][1300/7330] lr: 1.000e-04, eta: 19:21:22, time: 0.862, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0602, loss_cls: 0.2513, acc: 91.4692, loss_bbox: 0.2999, loss_mask: 0.2903, loss: 0.9373 2024-06-02 00:35:54,911 - mmdet - INFO - Epoch [2][1350/7330] lr: 1.000e-04, eta: 19:20:57, time: 0.919, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0653, loss_cls: 0.2520, acc: 91.3967, loss_bbox: 0.3075, loss_mask: 0.2962, loss: 0.9561 2024-06-02 00:36:39,986 - mmdet - INFO - Epoch [2][1400/7330] lr: 1.000e-04, eta: 19:20:23, time: 0.902, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0578, loss_cls: 0.2567, acc: 91.1731, loss_bbox: 0.3177, loss_mask: 0.2949, loss: 0.9596 2024-06-02 00:37:23,431 - mmdet - INFO - Epoch [2][1450/7330] lr: 1.000e-04, eta: 19:19:35, time: 0.869, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0605, loss_cls: 0.2702, acc: 90.9436, loss_bbox: 0.3199, loss_mask: 0.3006, loss: 0.9857 2024-06-02 00:38:06,340 - mmdet - INFO - Epoch [2][1500/7330] lr: 1.000e-04, eta: 19:18:42, time: 0.858, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0617, loss_cls: 0.2588, acc: 91.2800, loss_bbox: 0.3081, loss_mask: 0.3051, loss: 0.9706 2024-06-02 00:38:49,863 - mmdet - INFO - Epoch [2][1550/7330] lr: 1.000e-04, eta: 19:17:54, time: 0.870, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0582, loss_cls: 0.2519, acc: 91.2524, loss_bbox: 0.3051, loss_mask: 0.2891, loss: 0.9387 2024-06-02 00:39:34,953 - mmdet - INFO - Epoch [2][1600/7330] lr: 1.000e-04, eta: 19:17:21, time: 0.902, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0612, loss_cls: 0.2631, acc: 91.0852, loss_bbox: 0.3172, loss_mask: 0.2956, loss: 0.9721 2024-06-02 00:40:20,845 - mmdet - INFO - Epoch [2][1650/7330] lr: 1.000e-04, eta: 19:16:54, time: 0.918, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0599, loss_cls: 0.2597, acc: 91.3943, loss_bbox: 0.3043, loss_mask: 0.2939, loss: 0.9529 2024-06-02 00:41:08,418 - mmdet - INFO - Epoch [2][1700/7330] lr: 1.000e-04, eta: 19:16:42, time: 0.951, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0589, loss_cls: 0.2434, acc: 91.6289, loss_bbox: 0.2968, loss_mask: 0.2872, loss: 0.9180 2024-06-02 00:41:52,049 - mmdet - INFO - Epoch [2][1750/7330] lr: 1.000e-04, eta: 19:15:55, time: 0.872, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0608, loss_cls: 0.2533, acc: 91.4316, loss_bbox: 0.3026, loss_mask: 0.2912, loss: 0.9434 2024-06-02 00:42:35,137 - mmdet - INFO - Epoch [2][1800/7330] lr: 1.000e-04, eta: 19:15:03, time: 0.862, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0599, loss_cls: 0.2530, acc: 91.3269, loss_bbox: 0.3075, loss_mask: 0.2961, loss: 0.9490 2024-06-02 00:43:23,807 - mmdet - INFO - Epoch [2][1850/7330] lr: 1.000e-04, eta: 19:15:00, time: 0.973, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0621, loss_cls: 0.2618, acc: 91.1638, loss_bbox: 0.3108, loss_mask: 0.2955, loss: 0.9633 2024-06-02 00:44:08,703 - mmdet - INFO - Epoch [2][1900/7330] lr: 1.000e-04, eta: 19:14:24, time: 0.898, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0574, loss_cls: 0.2437, acc: 91.7444, loss_bbox: 0.2964, loss_mask: 0.2881, loss: 0.9195 2024-06-02 00:44:51,743 - mmdet - INFO - Epoch [2][1950/7330] lr: 1.000e-04, eta: 19:13:32, time: 0.861, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0569, loss_cls: 0.2382, acc: 91.9280, loss_bbox: 0.2865, loss_mask: 0.2860, loss: 0.9015 2024-06-02 00:45:36,556 - mmdet - INFO - Epoch [2][2000/7330] lr: 1.000e-04, eta: 19:12:55, time: 0.896, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0556, loss_cls: 0.2416, acc: 91.8013, loss_bbox: 0.2977, loss_mask: 0.2916, loss: 0.9168 2024-06-02 00:46:19,685 - mmdet - INFO - Epoch [2][2050/7330] lr: 1.000e-04, eta: 19:12:03, time: 0.863, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0557, loss_cls: 0.2444, acc: 91.8120, loss_bbox: 0.2887, loss_mask: 0.2917, loss: 0.9148 2024-06-02 00:47:04,444 - mmdet - INFO - Epoch [2][2100/7330] lr: 1.000e-04, eta: 19:11:26, time: 0.895, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0570, loss_cls: 0.2396, acc: 91.7581, loss_bbox: 0.2902, loss_mask: 0.2865, loss: 0.9047 2024-06-02 00:47:49,743 - mmdet - INFO - Epoch [2][2150/7330] lr: 1.000e-04, eta: 19:10:53, time: 0.906, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0576, loss_cls: 0.2475, acc: 91.5811, loss_bbox: 0.3076, loss_mask: 0.2941, loss: 0.9408 2024-06-02 00:48:35,229 - mmdet - INFO - Epoch [2][2200/7330] lr: 1.000e-04, eta: 19:10:21, time: 0.910, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0589, loss_cls: 0.2475, acc: 91.5693, loss_bbox: 0.3010, loss_mask: 0.2921, loss: 0.9326 2024-06-02 00:49:17,684 - mmdet - INFO - Epoch [2][2250/7330] lr: 1.000e-04, eta: 19:09:24, time: 0.849, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0567, loss_cls: 0.2424, acc: 91.8025, loss_bbox: 0.2876, loss_mask: 0.2883, loss: 0.9062 2024-06-02 00:50:00,059 - mmdet - INFO - Epoch [2][2300/7330] lr: 1.000e-04, eta: 19:08:27, time: 0.847, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0567, loss_cls: 0.2509, acc: 91.4956, loss_bbox: 0.3013, loss_mask: 0.2918, loss: 0.9313 2024-06-02 00:50:45,434 - mmdet - INFO - Epoch [2][2350/7330] lr: 1.000e-04, eta: 19:07:54, time: 0.908, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0586, loss_cls: 0.2498, acc: 91.4170, loss_bbox: 0.3025, loss_mask: 0.2854, loss: 0.9274 2024-06-02 00:51:30,386 - mmdet - INFO - Epoch [2][2400/7330] lr: 1.000e-04, eta: 19:07:18, time: 0.899, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0567, loss_cls: 0.2528, acc: 91.2639, loss_bbox: 0.3028, loss_mask: 0.2970, loss: 0.9426 2024-06-02 00:52:15,213 - mmdet - INFO - Epoch [2][2450/7330] lr: 1.000e-04, eta: 19:06:41, time: 0.897, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0567, loss_cls: 0.2511, acc: 91.5063, loss_bbox: 0.3008, loss_mask: 0.2924, loss: 0.9330 2024-06-02 00:52:58,924 - mmdet - INFO - Epoch [2][2500/7330] lr: 1.000e-04, eta: 19:05:54, time: 0.874, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0584, loss_cls: 0.2446, acc: 91.6169, loss_bbox: 0.2975, loss_mask: 0.2894, loss: 0.9265 2024-06-02 00:53:43,614 - mmdet - INFO - Epoch [2][2550/7330] lr: 1.000e-04, eta: 19:05:16, time: 0.894, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0584, loss_cls: 0.2540, acc: 91.3557, loss_bbox: 0.3052, loss_mask: 0.2949, loss: 0.9444 2024-06-02 00:54:29,957 - mmdet - INFO - Epoch [2][2600/7330] lr: 1.000e-04, eta: 19:04:50, time: 0.927, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0591, loss_cls: 0.2636, acc: 91.0513, loss_bbox: 0.3197, loss_mask: 0.2946, loss: 0.9704 2024-06-02 00:55:12,777 - mmdet - INFO - Epoch [2][2650/7330] lr: 1.000e-04, eta: 19:03:57, time: 0.856, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0571, loss_cls: 0.2390, acc: 91.7571, loss_bbox: 0.2897, loss_mask: 0.2820, loss: 0.8957 2024-06-02 00:55:59,874 - mmdet - INFO - Epoch [2][2700/7330] lr: 1.000e-04, eta: 19:03:37, time: 0.942, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0563, loss_cls: 0.2403, acc: 91.7625, loss_bbox: 0.2920, loss_mask: 0.2887, loss: 0.9090 2024-06-02 00:56:45,078 - mmdet - INFO - Epoch [2][2750/7330] lr: 1.000e-04, eta: 19:03:02, time: 0.904, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0591, loss_cls: 0.2497, acc: 91.4321, loss_bbox: 0.2994, loss_mask: 0.2895, loss: 0.9309 2024-06-02 00:57:28,153 - mmdet - INFO - Epoch [2][2800/7330] lr: 1.000e-04, eta: 19:02:11, time: 0.861, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0563, loss_cls: 0.2403, acc: 91.9087, loss_bbox: 0.2895, loss_mask: 0.2857, loss: 0.9032 2024-06-02 00:58:11,545 - mmdet - INFO - Epoch [2][2850/7330] lr: 1.000e-04, eta: 19:01:22, time: 0.868, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0589, loss_cls: 0.2468, acc: 91.6458, loss_bbox: 0.2962, loss_mask: 0.2939, loss: 0.9263 2024-06-02 00:58:54,371 - mmdet - INFO - Epoch [2][2900/7330] lr: 1.000e-04, eta: 19:00:29, time: 0.856, data_time: 0.037, memory: 18040, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0578, loss_cls: 0.2412, acc: 91.7102, loss_bbox: 0.2931, loss_mask: 0.2820, loss: 0.9058 2024-06-02 00:59:38,817 - mmdet - INFO - Epoch [2][2950/7330] lr: 1.000e-04, eta: 18:59:48, time: 0.889, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0612, loss_cls: 0.2473, acc: 91.6663, loss_bbox: 0.2930, loss_mask: 0.2921, loss: 0.9284 2024-06-02 01:00:24,479 - mmdet - INFO - Epoch [2][3000/7330] lr: 1.000e-04, eta: 18:59:16, time: 0.913, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0571, loss_cls: 0.2546, acc: 91.5420, loss_bbox: 0.3005, loss_mask: 0.2903, loss: 0.9361 2024-06-02 01:01:07,059 - mmdet - INFO - Epoch [2][3050/7330] lr: 1.000e-04, eta: 18:58:21, time: 0.852, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0572, loss_cls: 0.2447, acc: 91.6833, loss_bbox: 0.2953, loss_mask: 0.2850, loss: 0.9141 2024-06-02 01:01:51,984 - mmdet - INFO - Epoch [2][3100/7330] lr: 1.000e-04, eta: 18:57:44, time: 0.899, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0565, loss_cls: 0.2459, acc: 91.5891, loss_bbox: 0.2953, loss_mask: 0.2924, loss: 0.9217 2024-06-02 01:02:37,621 - mmdet - INFO - Epoch [2][3150/7330] lr: 1.000e-04, eta: 18:57:12, time: 0.913, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0590, loss_cls: 0.2422, acc: 91.8774, loss_bbox: 0.2905, loss_mask: 0.2876, loss: 0.9121 2024-06-02 01:03:24,891 - mmdet - INFO - Epoch [2][3200/7330] lr: 1.000e-04, eta: 18:56:52, time: 0.945, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0601, loss_cls: 0.2550, acc: 91.4456, loss_bbox: 0.3033, loss_mask: 0.2871, loss: 0.9360 2024-06-02 01:04:12,052 - mmdet - INFO - Epoch [2][3250/7330] lr: 1.000e-04, eta: 18:56:30, time: 0.943, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0572, loss_cls: 0.2481, acc: 91.4907, loss_bbox: 0.2998, loss_mask: 0.2857, loss: 0.9229 2024-06-02 01:04:55,555 - mmdet - INFO - Epoch [2][3300/7330] lr: 1.000e-04, eta: 18:55:42, time: 0.870, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0595, loss_cls: 0.2423, acc: 91.7034, loss_bbox: 0.2952, loss_mask: 0.2881, loss: 0.9170 2024-06-02 01:05:38,393 - mmdet - INFO - Epoch [2][3350/7330] lr: 1.000e-04, eta: 18:54:49, time: 0.857, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0610, loss_cls: 0.2496, acc: 91.4756, loss_bbox: 0.3047, loss_mask: 0.2899, loss: 0.9386 2024-06-02 01:06:21,145 - mmdet - INFO - Epoch [2][3400/7330] lr: 1.000e-04, eta: 18:53:56, time: 0.855, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0582, loss_cls: 0.2518, acc: 91.5129, loss_bbox: 0.2914, loss_mask: 0.2808, loss: 0.9147 2024-06-02 01:07:03,501 - mmdet - INFO - Epoch [2][3450/7330] lr: 1.000e-04, eta: 18:53:00, time: 0.847, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0563, loss_cls: 0.2402, acc: 91.8037, loss_bbox: 0.2921, loss_mask: 0.2810, loss: 0.9007 2024-06-02 01:07:45,672 - mmdet - INFO - Epoch [2][3500/7330] lr: 1.000e-04, eta: 18:52:02, time: 0.843, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0555, loss_cls: 0.2439, acc: 91.6919, loss_bbox: 0.2951, loss_mask: 0.2828, loss: 0.9069 2024-06-02 01:08:30,738 - mmdet - INFO - Epoch [2][3550/7330] lr: 1.000e-04, eta: 18:51:26, time: 0.901, data_time: 0.037, memory: 18040, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0584, loss_cls: 0.2493, acc: 91.5249, loss_bbox: 0.3006, loss_mask: 0.2871, loss: 0.9276 2024-06-02 01:09:15,186 - mmdet - INFO - Epoch [2][3600/7330] lr: 1.000e-04, eta: 18:50:45, time: 0.889, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0569, loss_cls: 0.2390, acc: 91.7444, loss_bbox: 0.2885, loss_mask: 0.2885, loss: 0.9048 2024-06-02 01:09:57,509 - mmdet - INFO - Epoch [2][3650/7330] lr: 1.000e-04, eta: 18:49:49, time: 0.846, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0527, loss_cls: 0.2307, acc: 92.0830, loss_bbox: 0.2748, loss_mask: 0.2826, loss: 0.8698 2024-06-02 01:10:43,212 - mmdet - INFO - Epoch [2][3700/7330] lr: 1.000e-04, eta: 18:49:16, time: 0.914, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0537, loss_cls: 0.2528, acc: 91.4429, loss_bbox: 0.3045, loss_mask: 0.2928, loss: 0.9330 2024-06-02 01:11:32,554 - mmdet - INFO - Epoch [2][3750/7330] lr: 1.000e-04, eta: 18:49:09, time: 0.987, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0548, loss_cls: 0.2337, acc: 92.1396, loss_bbox: 0.2804, loss_mask: 0.2842, loss: 0.8847 2024-06-02 01:12:15,444 - mmdet - INFO - Epoch [2][3800/7330] lr: 1.000e-04, eta: 18:48:17, time: 0.857, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0555, loss_cls: 0.2340, acc: 91.8420, loss_bbox: 0.2860, loss_mask: 0.2831, loss: 0.8898 2024-06-02 01:13:00,999 - mmdet - INFO - Epoch [2][3850/7330] lr: 1.000e-04, eta: 18:47:43, time: 0.911, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0613, loss_cls: 0.2366, acc: 91.8528, loss_bbox: 0.2900, loss_mask: 0.2902, loss: 0.9129 2024-06-02 01:13:46,194 - mmdet - INFO - Epoch [2][3900/7330] lr: 1.000e-04, eta: 18:47:07, time: 0.904, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0568, loss_cls: 0.2389, acc: 91.7571, loss_bbox: 0.2897, loss_mask: 0.2861, loss: 0.9015 2024-06-02 01:14:29,078 - mmdet - INFO - Epoch [2][3950/7330] lr: 1.000e-04, eta: 18:46:15, time: 0.858, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0544, loss_cls: 0.2377, acc: 91.8772, loss_bbox: 0.2836, loss_mask: 0.2826, loss: 0.8881 2024-06-02 01:15:11,524 - mmdet - INFO - Epoch [2][4000/7330] lr: 1.000e-04, eta: 18:45:20, time: 0.849, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0553, loss_cls: 0.2490, acc: 91.4888, loss_bbox: 0.2975, loss_mask: 0.2873, loss: 0.9204 2024-06-02 01:15:53,578 - mmdet - INFO - Epoch [2][4050/7330] lr: 1.000e-04, eta: 18:44:22, time: 0.841, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0546, loss_cls: 0.2400, acc: 91.8792, loss_bbox: 0.2858, loss_mask: 0.2843, loss: 0.8959 2024-06-02 01:16:38,661 - mmdet - INFO - Epoch [2][4100/7330] lr: 1.000e-04, eta: 18:43:45, time: 0.902, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0588, loss_cls: 0.2454, acc: 91.5144, loss_bbox: 0.2980, loss_mask: 0.2868, loss: 0.9196 2024-06-02 01:17:23,696 - mmdet - INFO - Epoch [2][4150/7330] lr: 1.000e-04, eta: 18:43:07, time: 0.901, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0554, loss_cls: 0.2353, acc: 91.9124, loss_bbox: 0.2855, loss_mask: 0.2811, loss: 0.8906 2024-06-02 01:18:06,547 - mmdet - INFO - Epoch [2][4200/7330] lr: 1.000e-04, eta: 18:42:15, time: 0.857, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0541, loss_cls: 0.2306, acc: 92.1567, loss_bbox: 0.2776, loss_mask: 0.2794, loss: 0.8716 2024-06-02 01:18:51,490 - mmdet - INFO - Epoch [2][4250/7330] lr: 1.000e-04, eta: 18:41:37, time: 0.899, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0564, loss_cls: 0.2423, acc: 91.8486, loss_bbox: 0.2863, loss_mask: 0.2838, loss: 0.9007 2024-06-02 01:19:36,799 - mmdet - INFO - Epoch [2][4300/7330] lr: 1.000e-04, eta: 18:41:01, time: 0.906, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0561, loss_cls: 0.2354, acc: 91.8201, loss_bbox: 0.2866, loss_mask: 0.2827, loss: 0.8914 2024-06-02 01:20:22,140 - mmdet - INFO - Epoch [2][4350/7330] lr: 1.000e-04, eta: 18:40:26, time: 0.907, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0573, loss_cls: 0.2444, acc: 91.6416, loss_bbox: 0.2917, loss_mask: 0.2835, loss: 0.9117 2024-06-02 01:21:07,036 - mmdet - INFO - Epoch [2][4400/7330] lr: 1.000e-04, eta: 18:39:47, time: 0.898, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0545, loss_cls: 0.2347, acc: 92.0144, loss_bbox: 0.2841, loss_mask: 0.2780, loss: 0.8802 2024-06-02 01:21:49,672 - mmdet - INFO - Epoch [2][4450/7330] lr: 1.000e-04, eta: 18:38:54, time: 0.853, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0602, loss_cls: 0.2461, acc: 91.6404, loss_bbox: 0.2982, loss_mask: 0.2759, loss: 0.9150 2024-06-02 01:22:36,579 - mmdet - INFO - Epoch [2][4500/7330] lr: 1.000e-04, eta: 18:38:28, time: 0.938, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0595, loss_cls: 0.2382, acc: 91.8452, loss_bbox: 0.2887, loss_mask: 0.2835, loss: 0.9021 2024-06-02 01:23:18,805 - mmdet - INFO - Epoch [2][4550/7330] lr: 1.000e-04, eta: 18:37:32, time: 0.845, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0532, loss_cls: 0.2276, acc: 92.1992, loss_bbox: 0.2780, loss_mask: 0.2801, loss: 0.8666 2024-06-02 01:24:02,111 - mmdet - INFO - Epoch [2][4600/7330] lr: 1.000e-04, eta: 18:36:43, time: 0.866, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0568, loss_cls: 0.2412, acc: 91.7412, loss_bbox: 0.2908, loss_mask: 0.2875, loss: 0.9069 2024-06-02 01:24:50,726 - mmdet - INFO - Epoch [2][4650/7330] lr: 1.000e-04, eta: 18:36:28, time: 0.972, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0560, loss_cls: 0.2423, acc: 91.7827, loss_bbox: 0.2890, loss_mask: 0.2882, loss: 0.9078 2024-06-02 01:25:34,212 - mmdet - INFO - Epoch [2][4700/7330] lr: 1.000e-04, eta: 18:35:40, time: 0.870, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0580, loss_cls: 0.2406, acc: 91.5972, loss_bbox: 0.2970, loss_mask: 0.2770, loss: 0.9024 2024-06-02 01:26:16,572 - mmdet - INFO - Epoch [2][4750/7330] lr: 1.000e-04, eta: 18:34:45, time: 0.847, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0542, loss_cls: 0.2367, acc: 91.8284, loss_bbox: 0.2906, loss_mask: 0.2800, loss: 0.8890 2024-06-02 01:27:01,855 - mmdet - INFO - Epoch [2][4800/7330] lr: 1.000e-04, eta: 18:34:09, time: 0.906, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0569, loss_cls: 0.2386, acc: 91.7029, loss_bbox: 0.2906, loss_mask: 0.2802, loss: 0.8984 2024-06-02 01:27:47,149 - mmdet - INFO - Epoch [2][4850/7330] lr: 1.000e-04, eta: 18:33:32, time: 0.906, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0546, loss_cls: 0.2349, acc: 91.9348, loss_bbox: 0.2862, loss_mask: 0.2798, loss: 0.8860 2024-06-02 01:28:31,771 - mmdet - INFO - Epoch [2][4900/7330] lr: 1.000e-04, eta: 18:32:51, time: 0.892, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0533, loss_cls: 0.2329, acc: 91.9700, loss_bbox: 0.2814, loss_mask: 0.2783, loss: 0.8738 2024-06-02 01:29:14,446 - mmdet - INFO - Epoch [2][4950/7330] lr: 1.000e-04, eta: 18:31:59, time: 0.853, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0556, loss_cls: 0.2317, acc: 91.9978, loss_bbox: 0.2774, loss_mask: 0.2819, loss: 0.8765 2024-06-02 01:30:01,698 - mmdet - INFO - Epoch [2][5000/7330] lr: 1.000e-04, eta: 18:31:34, time: 0.945, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0572, loss_cls: 0.2378, acc: 91.8137, loss_bbox: 0.2853, loss_mask: 0.2897, loss: 0.9022 2024-06-02 01:30:45,349 - mmdet - INFO - Epoch [2][5050/7330] lr: 1.000e-04, eta: 18:30:47, time: 0.873, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0557, loss_cls: 0.2371, acc: 91.9702, loss_bbox: 0.2793, loss_mask: 0.2810, loss: 0.8833 2024-06-02 01:31:30,659 - mmdet - INFO - Epoch [2][5100/7330] lr: 1.000e-04, eta: 18:30:10, time: 0.906, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0587, loss_cls: 0.2445, acc: 91.5979, loss_bbox: 0.2952, loss_mask: 0.2855, loss: 0.9160 2024-06-02 01:32:17,031 - mmdet - INFO - Epoch [2][5150/7330] lr: 1.000e-04, eta: 18:29:40, time: 0.927, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0560, loss_cls: 0.2260, acc: 92.2224, loss_bbox: 0.2757, loss_mask: 0.2774, loss: 0.8664 2024-06-02 01:33:02,346 - mmdet - INFO - Epoch [2][5200/7330] lr: 1.000e-04, eta: 18:29:03, time: 0.906, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0571, loss_cls: 0.2432, acc: 91.8472, loss_bbox: 0.2853, loss_mask: 0.2824, loss: 0.9014 2024-06-02 01:33:45,752 - mmdet - INFO - Epoch [2][5250/7330] lr: 1.000e-04, eta: 18:28:15, time: 0.868, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0578, loss_cls: 0.2357, acc: 91.8333, loss_bbox: 0.2893, loss_mask: 0.2780, loss: 0.8906 2024-06-02 01:34:29,349 - mmdet - INFO - Epoch [2][5300/7330] lr: 1.000e-04, eta: 18:27:28, time: 0.872, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0526, loss_cls: 0.2467, acc: 91.6099, loss_bbox: 0.2843, loss_mask: 0.2842, loss: 0.8970 2024-06-02 01:35:12,941 - mmdet - INFO - Epoch [2][5350/7330] lr: 1.000e-04, eta: 18:26:41, time: 0.872, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0556, loss_cls: 0.2422, acc: 91.6948, loss_bbox: 0.2853, loss_mask: 0.2791, loss: 0.8927 2024-06-02 01:36:00,343 - mmdet - INFO - Epoch [2][5400/7330] lr: 1.000e-04, eta: 18:26:16, time: 0.948, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0550, loss_cls: 0.2346, acc: 92.0168, loss_bbox: 0.2788, loss_mask: 0.2763, loss: 0.8746 2024-06-02 01:36:44,386 - mmdet - INFO - Epoch [2][5450/7330] lr: 1.000e-04, eta: 18:25:31, time: 0.880, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0565, loss_cls: 0.2342, acc: 91.9780, loss_bbox: 0.2862, loss_mask: 0.2758, loss: 0.8826 2024-06-02 01:37:29,586 - mmdet - INFO - Epoch [2][5500/7330] lr: 1.000e-04, eta: 18:24:54, time: 0.904, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0568, loss_cls: 0.2525, acc: 91.2678, loss_bbox: 0.2973, loss_mask: 0.2912, loss: 0.9299 2024-06-02 01:38:16,909 - mmdet - INFO - Epoch [2][5550/7330] lr: 1.000e-04, eta: 18:24:28, time: 0.946, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0561, loss_cls: 0.2427, acc: 91.7195, loss_bbox: 0.2935, loss_mask: 0.2804, loss: 0.9034 2024-06-02 01:39:02,178 - mmdet - INFO - Epoch [2][5600/7330] lr: 1.000e-04, eta: 18:23:51, time: 0.905, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0531, loss_cls: 0.2402, acc: 91.6360, loss_bbox: 0.2883, loss_mask: 0.2732, loss: 0.8835 2024-06-02 01:39:45,596 - mmdet - INFO - Epoch [2][5650/7330] lr: 1.000e-04, eta: 18:23:02, time: 0.868, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0576, loss_cls: 0.2474, acc: 91.5166, loss_bbox: 0.2847, loss_mask: 0.2790, loss: 0.8996 2024-06-02 01:40:31,504 - mmdet - INFO - Epoch [2][5700/7330] lr: 1.000e-04, eta: 18:22:29, time: 0.918, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0544, loss_cls: 0.2419, acc: 91.9001, loss_bbox: 0.2863, loss_mask: 0.2749, loss: 0.8855 2024-06-02 01:41:16,408 - mmdet - INFO - Epoch [2][5750/7330] lr: 1.000e-04, eta: 18:21:49, time: 0.898, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0517, loss_cls: 0.2360, acc: 91.8364, loss_bbox: 0.2805, loss_mask: 0.2784, loss: 0.8769 2024-06-02 01:42:02,197 - mmdet - INFO - Epoch [2][5800/7330] lr: 1.000e-04, eta: 18:21:14, time: 0.916, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0573, loss_cls: 0.2338, acc: 91.9893, loss_bbox: 0.2831, loss_mask: 0.2803, loss: 0.8878 2024-06-02 01:42:45,240 - mmdet - INFO - Epoch [2][5850/7330] lr: 1.000e-04, eta: 18:20:24, time: 0.861, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0544, loss_cls: 0.2348, acc: 91.9116, loss_bbox: 0.2841, loss_mask: 0.2770, loss: 0.8820 2024-06-02 01:43:30,012 - mmdet - INFO - Epoch [2][5900/7330] lr: 1.000e-04, eta: 18:19:43, time: 0.895, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0531, loss_cls: 0.2221, acc: 92.3926, loss_bbox: 0.2714, loss_mask: 0.2784, loss: 0.8533 2024-06-02 01:44:13,023 - mmdet - INFO - Epoch [2][5950/7330] lr: 1.000e-04, eta: 18:18:52, time: 0.860, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0589, loss_cls: 0.2480, acc: 91.6309, loss_bbox: 0.2989, loss_mask: 0.2820, loss: 0.9201 2024-06-02 01:44:55,920 - mmdet - INFO - Epoch [2][6000/7330] lr: 1.000e-04, eta: 18:18:01, time: 0.858, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0533, loss_cls: 0.2397, acc: 91.8289, loss_bbox: 0.2859, loss_mask: 0.2788, loss: 0.8860 2024-06-02 01:45:45,942 - mmdet - INFO - Epoch [2][6050/7330] lr: 1.000e-04, eta: 18:17:50, time: 1.000, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0554, loss_cls: 0.2325, acc: 91.8562, loss_bbox: 0.2824, loss_mask: 0.2803, loss: 0.8809 2024-06-02 01:46:29,058 - mmdet - INFO - Epoch [2][6100/7330] lr: 1.000e-04, eta: 18:17:00, time: 0.862, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0552, loss_cls: 0.2409, acc: 91.7437, loss_bbox: 0.2876, loss_mask: 0.2832, loss: 0.8962 2024-06-02 01:47:14,203 - mmdet - INFO - Epoch [2][6150/7330] lr: 1.000e-04, eta: 18:16:21, time: 0.903, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0558, loss_cls: 0.2292, acc: 92.0930, loss_bbox: 0.2754, loss_mask: 0.2776, loss: 0.8686 2024-06-02 01:48:00,493 - mmdet - INFO - Epoch [2][6200/7330] lr: 1.000e-04, eta: 18:15:49, time: 0.926, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0567, loss_cls: 0.2350, acc: 91.9614, loss_bbox: 0.2814, loss_mask: 0.2819, loss: 0.8860 2024-06-02 01:48:43,666 - mmdet - INFO - Epoch [2][6250/7330] lr: 1.000e-04, eta: 18:14:59, time: 0.863, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0572, loss_cls: 0.2389, acc: 91.8569, loss_bbox: 0.2863, loss_mask: 0.2797, loss: 0.8925 2024-06-02 01:49:26,644 - mmdet - INFO - Epoch [2][6300/7330] lr: 1.000e-04, eta: 18:14:09, time: 0.860, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0537, loss_cls: 0.2387, acc: 91.8701, loss_bbox: 0.2864, loss_mask: 0.2818, loss: 0.8907 2024-06-02 01:50:11,488 - mmdet - INFO - Epoch [2][6350/7330] lr: 1.000e-04, eta: 18:13:28, time: 0.897, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0561, loss_cls: 0.2291, acc: 92.1084, loss_bbox: 0.2790, loss_mask: 0.2766, loss: 0.8703 2024-06-02 01:50:53,896 - mmdet - INFO - Epoch [2][6400/7330] lr: 1.000e-04, eta: 18:12:34, time: 0.848, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0529, loss_cls: 0.2353, acc: 92.0093, loss_bbox: 0.2756, loss_mask: 0.2738, loss: 0.8646 2024-06-02 01:51:38,577 - mmdet - INFO - Epoch [2][6450/7330] lr: 1.000e-04, eta: 18:11:53, time: 0.894, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0541, loss_cls: 0.2361, acc: 91.7976, loss_bbox: 0.2894, loss_mask: 0.2800, loss: 0.8876 2024-06-02 01:52:24,183 - mmdet - INFO - Epoch [2][6500/7330] lr: 1.000e-04, eta: 18:11:17, time: 0.912, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0551, loss_cls: 0.2436, acc: 91.6624, loss_bbox: 0.2902, loss_mask: 0.2763, loss: 0.8930 2024-06-02 01:53:07,272 - mmdet - INFO - Epoch [2][6550/7330] lr: 1.000e-04, eta: 18:10:27, time: 0.862, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0520, loss_cls: 0.2327, acc: 91.9841, loss_bbox: 0.2795, loss_mask: 0.2702, loss: 0.8623 2024-06-02 01:53:50,479 - mmdet - INFO - Epoch [2][6600/7330] lr: 1.000e-04, eta: 18:09:38, time: 0.864, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0552, loss_cls: 0.2405, acc: 91.7722, loss_bbox: 0.2863, loss_mask: 0.2706, loss: 0.8823 2024-06-02 01:54:37,844 - mmdet - INFO - Epoch [2][6650/7330] lr: 1.000e-04, eta: 18:09:10, time: 0.947, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0572, loss_cls: 0.2416, acc: 91.6960, loss_bbox: 0.2922, loss_mask: 0.2811, loss: 0.9001 2024-06-02 01:55:23,103 - mmdet - INFO - Epoch [2][6700/7330] lr: 1.000e-04, eta: 18:08:32, time: 0.905, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0538, loss_cls: 0.2249, acc: 92.1060, loss_bbox: 0.2804, loss_mask: 0.2757, loss: 0.8650 2024-06-02 01:56:11,181 - mmdet - INFO - Epoch [2][6750/7330] lr: 1.000e-04, eta: 18:08:08, time: 0.962, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0570, loss_cls: 0.2357, acc: 91.8252, loss_bbox: 0.2830, loss_mask: 0.2688, loss: 0.8740 2024-06-02 01:56:54,310 - mmdet - INFO - Epoch [2][6800/7330] lr: 1.000e-04, eta: 18:07:19, time: 0.863, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0531, loss_cls: 0.2283, acc: 92.1335, loss_bbox: 0.2779, loss_mask: 0.2719, loss: 0.8593 2024-06-02 01:57:37,016 - mmdet - INFO - Epoch [2][6850/7330] lr: 1.000e-04, eta: 18:06:27, time: 0.854, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0546, loss_cls: 0.2281, acc: 92.1929, loss_bbox: 0.2741, loss_mask: 0.2789, loss: 0.8671 2024-06-02 01:58:20,308 - mmdet - INFO - Epoch [2][6900/7330] lr: 1.000e-04, eta: 18:05:38, time: 0.866, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0544, loss_cls: 0.2351, acc: 91.6160, loss_bbox: 0.2925, loss_mask: 0.2768, loss: 0.8895 2024-06-02 01:59:07,471 - mmdet - INFO - Epoch [2][6950/7330] lr: 1.000e-04, eta: 18:05:09, time: 0.943, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0509, loss_cls: 0.2259, acc: 92.3689, loss_bbox: 0.2707, loss_mask: 0.2680, loss: 0.8416 2024-06-02 01:59:49,975 - mmdet - INFO - Epoch [2][7000/7330] lr: 1.000e-04, eta: 18:04:16, time: 0.850, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0560, loss_cls: 0.2317, acc: 91.9126, loss_bbox: 0.2798, loss_mask: 0.2717, loss: 0.8703 2024-06-02 02:00:35,866 - mmdet - INFO - Epoch [2][7050/7330] lr: 1.000e-04, eta: 18:03:41, time: 0.918, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0566, loss_cls: 0.2291, acc: 91.9631, loss_bbox: 0.2796, loss_mask: 0.2728, loss: 0.8698 2024-06-02 02:01:18,984 - mmdet - INFO - Epoch [2][7100/7330] lr: 1.000e-04, eta: 18:02:51, time: 0.862, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0529, loss_cls: 0.2191, acc: 92.3113, loss_bbox: 0.2707, loss_mask: 0.2690, loss: 0.8414 2024-06-02 02:02:01,623 - mmdet - INFO - Epoch [2][7150/7330] lr: 1.000e-04, eta: 18:01:59, time: 0.853, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0511, loss_cls: 0.2270, acc: 92.0742, loss_bbox: 0.2775, loss_mask: 0.2743, loss: 0.8588 2024-06-02 02:02:44,327 - mmdet - INFO - Epoch [2][7200/7330] lr: 1.000e-04, eta: 18:01:08, time: 0.854, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0552, loss_cls: 0.2314, acc: 92.0034, loss_bbox: 0.2781, loss_mask: 0.2728, loss: 0.8682 2024-06-02 02:03:28,563 - mmdet - INFO - Epoch [2][7250/7330] lr: 1.000e-04, eta: 18:00:24, time: 0.885, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0516, loss_cls: 0.2222, acc: 92.2761, loss_bbox: 0.2676, loss_mask: 0.2657, loss: 0.8357 2024-06-02 02:04:17,780 - mmdet - INFO - Epoch [2][7300/7330] lr: 1.000e-04, eta: 18:00:05, time: 0.984, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0549, loss_cls: 0.2317, acc: 91.9880, loss_bbox: 0.2789, loss_mask: 0.2684, loss: 0.8617 2024-06-02 02:04:46,369 - mmdet - INFO - Saving checkpoint at 2 epochs 2024-06-02 02:06:53,479 - mmdet - INFO - Evaluating bbox... 2024-06-02 02:07:22,913 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.372 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.622 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.399 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.207 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.408 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.532 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.499 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.499 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.499 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.301 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.542 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.666 2024-06-02 02:07:22,913 - mmdet - INFO - Evaluating segm... 2024-06-02 02:07:55,177 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.350 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.585 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.366 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.141 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.375 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.567 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.245 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.511 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.665 2024-06-02 02:07:55,570 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 02:07:55,573 - mmdet - INFO - Epoch(val) [2][625] bbox_mAP: 0.3720, bbox_mAP_50: 0.6220, bbox_mAP_75: 0.3990, bbox_mAP_s: 0.2070, bbox_mAP_m: 0.4080, bbox_mAP_l: 0.5320, bbox_mAP_copypaste: 0.372 0.622 0.399 0.207 0.408 0.532, segm_mAP: 0.3500, segm_mAP_50: 0.5850, segm_mAP_75: 0.3660, segm_mAP_s: 0.1410, segm_mAP_m: 0.3750, segm_mAP_l: 0.5670, segm_mAP_copypaste: 0.350 0.585 0.366 0.141 0.375 0.567 2024-06-02 02:08:45,705 - mmdet - INFO - Epoch [3][50/7330] lr: 1.000e-04, eta: 17:57:12, time: 1.002, data_time: 0.112, memory: 18040, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0563, loss_cls: 0.2270, acc: 91.8621, loss_bbox: 0.2863, loss_mask: 0.2754, loss: 0.8729 2024-06-02 02:09:28,879 - mmdet - INFO - Epoch [3][100/7330] lr: 1.000e-04, eta: 17:56:23, time: 0.864, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0512, loss_cls: 0.2159, acc: 92.2942, loss_bbox: 0.2753, loss_mask: 0.2711, loss: 0.8389 2024-06-02 02:10:11,691 - mmdet - INFO - Epoch [3][150/7330] lr: 1.000e-04, eta: 17:55:32, time: 0.856, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0544, loss_cls: 0.2251, acc: 92.0842, loss_bbox: 0.2786, loss_mask: 0.2777, loss: 0.8602 2024-06-02 02:10:54,453 - mmdet - INFO - Epoch [3][200/7330] lr: 1.000e-04, eta: 17:54:42, time: 0.855, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0553, loss_cls: 0.2218, acc: 92.1638, loss_bbox: 0.2726, loss_mask: 0.2777, loss: 0.8542 2024-06-02 02:11:37,495 - mmdet - INFO - Epoch [3][250/7330] lr: 1.000e-04, eta: 17:53:52, time: 0.861, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0534, loss_cls: 0.2226, acc: 92.0894, loss_bbox: 0.2793, loss_mask: 0.2707, loss: 0.8533 2024-06-02 02:12:20,885 - mmdet - INFO - Epoch [3][300/7330] lr: 1.000e-04, eta: 17:53:05, time: 0.868, data_time: 0.069, memory: 18040, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0533, loss_cls: 0.2250, acc: 92.0315, loss_bbox: 0.2786, loss_mask: 0.2684, loss: 0.8514 2024-06-02 02:13:05,696 - mmdet - INFO - Epoch [3][350/7330] lr: 1.000e-04, eta: 17:52:24, time: 0.896, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0488, loss_cls: 0.2114, acc: 92.6475, loss_bbox: 0.2618, loss_mask: 0.2639, loss: 0.8113 2024-06-02 02:13:50,835 - mmdet - INFO - Epoch [3][400/7330] lr: 1.000e-04, eta: 17:51:45, time: 0.903, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0525, loss_cls: 0.2204, acc: 92.3655, loss_bbox: 0.2703, loss_mask: 0.2667, loss: 0.8368 2024-06-02 02:14:38,058 - mmdet - INFO - Epoch [3][450/7330] lr: 1.000e-04, eta: 17:51:16, time: 0.944, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0539, loss_cls: 0.2193, acc: 92.3428, loss_bbox: 0.2786, loss_mask: 0.2709, loss: 0.8488 2024-06-02 02:15:23,084 - mmdet - INFO - Epoch [3][500/7330] lr: 1.000e-04, eta: 17:50:36, time: 0.901, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0516, loss_cls: 0.2083, acc: 92.5874, loss_bbox: 0.2608, loss_mask: 0.2680, loss: 0.8166 2024-06-02 02:16:06,154 - mmdet - INFO - Epoch [3][550/7330] lr: 1.000e-04, eta: 17:49:47, time: 0.861, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0546, loss_cls: 0.2298, acc: 91.9224, loss_bbox: 0.2796, loss_mask: 0.2730, loss: 0.8690 2024-06-02 02:16:49,066 - mmdet - INFO - Epoch [3][600/7330] lr: 1.000e-04, eta: 17:48:57, time: 0.858, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0527, loss_cls: 0.2272, acc: 92.1267, loss_bbox: 0.2750, loss_mask: 0.2663, loss: 0.8488 2024-06-02 02:17:32,444 - mmdet - INFO - Epoch [3][650/7330] lr: 1.000e-04, eta: 17:48:10, time: 0.868, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0523, loss_cls: 0.2224, acc: 92.1807, loss_bbox: 0.2738, loss_mask: 0.2656, loss: 0.8400 2024-06-02 02:18:17,275 - mmdet - INFO - Epoch [3][700/7330] lr: 1.000e-04, eta: 17:47:29, time: 0.896, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0513, loss_cls: 0.2174, acc: 92.4375, loss_bbox: 0.2712, loss_mask: 0.2717, loss: 0.8368 2024-06-02 02:19:00,763 - mmdet - INFO - Epoch [3][750/7330] lr: 1.000e-04, eta: 17:46:42, time: 0.869, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0554, loss_cls: 0.2286, acc: 91.9316, loss_bbox: 0.2847, loss_mask: 0.2675, loss: 0.8637 2024-06-02 02:19:47,958 - mmdet - INFO - Epoch [3][800/7330] lr: 1.000e-04, eta: 17:46:12, time: 0.944, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0502, loss_cls: 0.2205, acc: 92.2607, loss_bbox: 0.2775, loss_mask: 0.2664, loss: 0.8407 2024-06-02 02:20:33,355 - mmdet - INFO - Epoch [3][850/7330] lr: 1.000e-04, eta: 17:45:34, time: 0.908, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0535, loss_cls: 0.2279, acc: 91.9832, loss_bbox: 0.2828, loss_mask: 0.2709, loss: 0.8620 2024-06-02 02:21:19,006 - mmdet - INFO - Epoch [3][900/7330] lr: 1.000e-04, eta: 17:44:57, time: 0.913, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0523, loss_cls: 0.2195, acc: 92.3264, loss_bbox: 0.2718, loss_mask: 0.2666, loss: 0.8380 2024-06-02 02:22:01,805 - mmdet - INFO - Epoch [3][950/7330] lr: 1.000e-04, eta: 17:44:07, time: 0.856, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0495, loss_cls: 0.2128, acc: 92.5061, loss_bbox: 0.2634, loss_mask: 0.2588, loss: 0.8095 2024-06-02 02:22:48,743 - mmdet - INFO - Epoch [3][1000/7330] lr: 1.000e-04, eta: 17:43:36, time: 0.939, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0547, loss_cls: 0.2230, acc: 92.0979, loss_bbox: 0.2778, loss_mask: 0.2664, loss: 0.8507 2024-06-02 02:23:36,673 - mmdet - INFO - Epoch [3][1050/7330] lr: 1.000e-04, eta: 17:43:09, time: 0.959, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0505, loss_cls: 0.2194, acc: 92.4177, loss_bbox: 0.2679, loss_mask: 0.2635, loss: 0.8283 2024-06-02 02:24:19,817 - mmdet - INFO - Epoch [3][1100/7330] lr: 1.000e-04, eta: 17:42:20, time: 0.863, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0509, loss_cls: 0.2130, acc: 92.5466, loss_bbox: 0.2585, loss_mask: 0.2620, loss: 0.8116 2024-06-02 02:25:03,207 - mmdet - INFO - Epoch [3][1150/7330] lr: 1.000e-04, eta: 17:41:33, time: 0.868, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0520, loss_cls: 0.2271, acc: 91.8870, loss_bbox: 0.2821, loss_mask: 0.2700, loss: 0.8567 2024-06-02 02:25:46,127 - mmdet - INFO - Epoch [3][1200/7330] lr: 1.000e-04, eta: 17:40:43, time: 0.858, data_time: 0.037, memory: 18040, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0516, loss_cls: 0.2198, acc: 92.2405, loss_bbox: 0.2721, loss_mask: 0.2634, loss: 0.8320 2024-06-02 02:26:28,771 - mmdet - INFO - Epoch [3][1250/7330] lr: 1.000e-04, eta: 17:39:52, time: 0.853, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0502, loss_cls: 0.2102, acc: 92.4927, loss_bbox: 0.2672, loss_mask: 0.2647, loss: 0.8180 2024-06-02 02:27:13,817 - mmdet - INFO - Epoch [3][1300/7330] lr: 1.000e-04, eta: 17:39:12, time: 0.901, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0469, loss_cls: 0.2176, acc: 92.3247, loss_bbox: 0.2734, loss_mask: 0.2702, loss: 0.8337 2024-06-02 02:28:00,352 - mmdet - INFO - Epoch [3][1350/7330] lr: 1.000e-04, eta: 17:38:39, time: 0.930, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0523, loss_cls: 0.2236, acc: 92.0383, loss_bbox: 0.2769, loss_mask: 0.2683, loss: 0.8469 2024-06-02 02:28:45,250 - mmdet - INFO - Epoch [3][1400/7330] lr: 1.000e-04, eta: 17:37:58, time: 0.898, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0498, loss_cls: 0.2182, acc: 92.4585, loss_bbox: 0.2653, loss_mask: 0.2638, loss: 0.8225 2024-06-02 02:29:28,303 - mmdet - INFO - Epoch [3][1450/7330] lr: 1.000e-04, eta: 17:37:09, time: 0.861, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0528, loss_cls: 0.2221, acc: 92.0784, loss_bbox: 0.2771, loss_mask: 0.2695, loss: 0.8463 2024-06-02 02:30:13,631 - mmdet - INFO - Epoch [3][1500/7330] lr: 1.000e-04, eta: 17:36:30, time: 0.907, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0508, loss_cls: 0.2168, acc: 92.4524, loss_bbox: 0.2624, loss_mask: 0.2634, loss: 0.8212 2024-06-02 02:30:59,104 - mmdet - INFO - Epoch [3][1550/7330] lr: 1.000e-04, eta: 17:35:52, time: 0.909, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0561, loss_cls: 0.2183, acc: 92.2773, loss_bbox: 0.2695, loss_mask: 0.2663, loss: 0.8350 2024-06-02 02:31:46,791 - mmdet - INFO - Epoch [3][1600/7330] lr: 1.000e-04, eta: 17:35:23, time: 0.953, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0514, loss_cls: 0.2227, acc: 92.2273, loss_bbox: 0.2716, loss_mask: 0.2635, loss: 0.8340 2024-06-02 02:32:33,995 - mmdet - INFO - Epoch [3][1650/7330] lr: 1.000e-04, eta: 17:34:53, time: 0.944, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0540, loss_cls: 0.2195, acc: 92.3142, loss_bbox: 0.2717, loss_mask: 0.2706, loss: 0.8419 2024-06-02 02:33:17,000 - mmdet - INFO - Epoch [3][1700/7330] lr: 1.000e-04, eta: 17:34:03, time: 0.860, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0521, loss_cls: 0.2129, acc: 92.4675, loss_bbox: 0.2651, loss_mask: 0.2649, loss: 0.8220 2024-06-02 02:34:00,042 - mmdet - INFO - Epoch [3][1750/7330] lr: 1.000e-04, eta: 17:33:14, time: 0.861, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0511, loss_cls: 0.2124, acc: 92.5693, loss_bbox: 0.2604, loss_mask: 0.2638, loss: 0.8127 2024-06-02 02:34:43,382 - mmdet - INFO - Epoch [3][1800/7330] lr: 1.000e-04, eta: 17:32:26, time: 0.867, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0540, loss_cls: 0.2273, acc: 91.9426, loss_bbox: 0.2792, loss_mask: 0.2671, loss: 0.8557 2024-06-02 02:35:28,442 - mmdet - INFO - Epoch [3][1850/7330] lr: 1.000e-04, eta: 17:31:46, time: 0.901, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0497, loss_cls: 0.2256, acc: 92.0032, loss_bbox: 0.2771, loss_mask: 0.2643, loss: 0.8415 2024-06-02 02:36:12,108 - mmdet - INFO - Epoch [3][1900/7330] lr: 1.000e-04, eta: 17:31:00, time: 0.873, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0555, loss_cls: 0.2250, acc: 92.0095, loss_bbox: 0.2759, loss_mask: 0.2674, loss: 0.8507 2024-06-02 02:36:57,839 - mmdet - INFO - Epoch [3][1950/7330] lr: 1.000e-04, eta: 17:30:22, time: 0.915, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0508, loss_cls: 0.2215, acc: 92.3064, loss_bbox: 0.2680, loss_mask: 0.2598, loss: 0.8258 2024-06-02 02:37:42,956 - mmdet - INFO - Epoch [3][2000/7330] lr: 1.000e-04, eta: 17:29:42, time: 0.902, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0527, loss_cls: 0.2256, acc: 92.0972, loss_bbox: 0.2764, loss_mask: 0.2684, loss: 0.8490 2024-06-02 02:38:26,323 - mmdet - INFO - Epoch [3][2050/7330] lr: 1.000e-04, eta: 17:28:55, time: 0.867, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0578, loss_cls: 0.2274, acc: 92.0381, loss_bbox: 0.2820, loss_mask: 0.2688, loss: 0.8646 2024-06-02 02:39:11,302 - mmdet - INFO - Epoch [3][2100/7330] lr: 1.000e-04, eta: 17:28:05, time: 0.857, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0500, loss_cls: 0.2222, acc: 92.2246, loss_bbox: 0.2718, loss_mask: 0.2693, loss: 0.8393 2024-06-02 02:39:58,200 - mmdet - INFO - Epoch [3][2150/7330] lr: 1.000e-04, eta: 17:27:42, time: 0.980, data_time: 0.084, memory: 18040, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0486, loss_cls: 0.2210, acc: 92.2209, loss_bbox: 0.2716, loss_mask: 0.2583, loss: 0.8251 2024-06-02 02:40:41,227 - mmdet - INFO - Epoch [3][2200/7330] lr: 1.000e-04, eta: 17:26:52, time: 0.861, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0566, loss_cls: 0.2418, acc: 91.5774, loss_bbox: 0.2932, loss_mask: 0.2714, loss: 0.8913 2024-06-02 02:41:26,619 - mmdet - INFO - Epoch [3][2250/7330] lr: 1.000e-04, eta: 17:26:13, time: 0.908, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0521, loss_cls: 0.2297, acc: 91.8674, loss_bbox: 0.2820, loss_mask: 0.2779, loss: 0.8674 2024-06-02 02:42:13,614 - mmdet - INFO - Epoch [3][2300/7330] lr: 1.000e-04, eta: 17:25:41, time: 0.940, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0536, loss_cls: 0.2280, acc: 91.8755, loss_bbox: 0.2783, loss_mask: 0.2634, loss: 0.8488 2024-06-02 02:42:55,862 - mmdet - INFO - Epoch [3][2350/7330] lr: 1.000e-04, eta: 17:24:49, time: 0.845, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0463, loss_cls: 0.2137, acc: 92.5549, loss_bbox: 0.2629, loss_mask: 0.2607, loss: 0.8085 2024-06-02 02:43:39,464 - mmdet - INFO - Epoch [3][2400/7330] lr: 1.000e-04, eta: 17:24:02, time: 0.872, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0524, loss_cls: 0.2143, acc: 92.3928, loss_bbox: 0.2643, loss_mask: 0.2566, loss: 0.8132 2024-06-02 02:44:22,831 - mmdet - INFO - Epoch [3][2450/7330] lr: 1.000e-04, eta: 17:23:15, time: 0.867, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0538, loss_cls: 0.2225, acc: 92.1785, loss_bbox: 0.2731, loss_mask: 0.2615, loss: 0.8356 2024-06-02 02:45:08,431 - mmdet - INFO - Epoch [3][2500/7330] lr: 1.000e-04, eta: 17:22:36, time: 0.912, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0534, loss_cls: 0.2307, acc: 91.7803, loss_bbox: 0.2822, loss_mask: 0.2695, loss: 0.8606 2024-06-02 02:45:54,190 - mmdet - INFO - Epoch [3][2550/7330] lr: 1.000e-04, eta: 17:21:59, time: 0.915, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0544, loss_cls: 0.2276, acc: 91.9661, loss_bbox: 0.2805, loss_mask: 0.2698, loss: 0.8590 2024-06-02 02:46:40,163 - mmdet - INFO - Epoch [3][2600/7330] lr: 1.000e-04, eta: 17:21:22, time: 0.920, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0529, loss_cls: 0.2283, acc: 91.9539, loss_bbox: 0.2763, loss_mask: 0.2676, loss: 0.8525 2024-06-02 02:47:22,708 - mmdet - INFO - Epoch [3][2650/7330] lr: 1.000e-04, eta: 17:20:31, time: 0.851, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0474, loss_cls: 0.2141, acc: 92.3320, loss_bbox: 0.2701, loss_mask: 0.2629, loss: 0.8174 2024-06-02 02:48:07,580 - mmdet - INFO - Epoch [3][2700/7330] lr: 1.000e-04, eta: 17:19:50, time: 0.898, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0520, loss_cls: 0.2172, acc: 92.5989, loss_bbox: 0.2584, loss_mask: 0.2540, loss: 0.8100 2024-06-02 02:48:55,865 - mmdet - INFO - Epoch [3][2750/7330] lr: 1.000e-04, eta: 17:19:22, time: 0.966, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0505, loss_cls: 0.2210, acc: 92.1111, loss_bbox: 0.2762, loss_mask: 0.2707, loss: 0.8450 2024-06-02 02:49:39,281 - mmdet - INFO - Epoch [3][2800/7330] lr: 1.000e-04, eta: 17:18:35, time: 0.868, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0543, loss_cls: 0.2226, acc: 92.0583, loss_bbox: 0.2774, loss_mask: 0.2639, loss: 0.8459 2024-06-02 02:50:25,165 - mmdet - INFO - Epoch [3][2850/7330] lr: 1.000e-04, eta: 17:17:57, time: 0.918, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0528, loss_cls: 0.2323, acc: 91.8079, loss_bbox: 0.2766, loss_mask: 0.2608, loss: 0.8501 2024-06-02 02:51:10,996 - mmdet - INFO - Epoch [3][2900/7330] lr: 1.000e-04, eta: 17:17:20, time: 0.917, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0504, loss_cls: 0.2135, acc: 92.4165, loss_bbox: 0.2663, loss_mask: 0.2566, loss: 0.8116 2024-06-02 02:51:53,373 - mmdet - INFO - Epoch [3][2950/7330] lr: 1.000e-04, eta: 17:16:28, time: 0.848, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0490, loss_cls: 0.2144, acc: 92.4534, loss_bbox: 0.2669, loss_mask: 0.2673, loss: 0.8226 2024-06-02 02:52:38,909 - mmdet - INFO - Epoch [3][3000/7330] lr: 1.000e-04, eta: 17:15:49, time: 0.910, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0523, loss_cls: 0.2314, acc: 91.8577, loss_bbox: 0.2816, loss_mask: 0.2694, loss: 0.8602 2024-06-02 02:53:22,804 - mmdet - INFO - Epoch [3][3050/7330] lr: 1.000e-04, eta: 17:15:04, time: 0.878, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0540, loss_cls: 0.2256, acc: 92.0591, loss_bbox: 0.2725, loss_mask: 0.2630, loss: 0.8431 2024-06-02 02:54:06,385 - mmdet - INFO - Epoch [3][3100/7330] lr: 1.000e-04, eta: 17:14:17, time: 0.872, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0507, loss_cls: 0.2244, acc: 92.1228, loss_bbox: 0.2747, loss_mask: 0.2652, loss: 0.8395 2024-06-02 02:54:51,362 - mmdet - INFO - Epoch [3][3150/7330] lr: 1.000e-04, eta: 17:13:36, time: 0.900, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0490, loss_cls: 0.2118, acc: 92.6206, loss_bbox: 0.2549, loss_mask: 0.2567, loss: 0.7972 2024-06-02 02:55:37,546 - mmdet - INFO - Epoch [3][3200/7330] lr: 1.000e-04, eta: 17:13:00, time: 0.924, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0534, loss_cls: 0.2300, acc: 91.9121, loss_bbox: 0.2780, loss_mask: 0.2678, loss: 0.8569 2024-06-02 02:56:22,547 - mmdet - INFO - Epoch [3][3250/7330] lr: 1.000e-04, eta: 17:12:18, time: 0.900, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0515, loss_cls: 0.2199, acc: 92.2939, loss_bbox: 0.2715, loss_mask: 0.2626, loss: 0.8322 2024-06-02 02:57:06,125 - mmdet - INFO - Epoch [3][3300/7330] lr: 1.000e-04, eta: 17:11:32, time: 0.872, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0511, loss_cls: 0.2198, acc: 92.3347, loss_bbox: 0.2646, loss_mask: 0.2635, loss: 0.8242 2024-06-02 02:57:51,870 - mmdet - INFO - Epoch [3][3350/7330] lr: 1.000e-04, eta: 17:10:54, time: 0.915, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0539, loss_cls: 0.2235, acc: 92.1450, loss_bbox: 0.2795, loss_mask: 0.2685, loss: 0.8532 2024-06-02 02:58:41,033 - mmdet - INFO - Epoch [3][3400/7330] lr: 1.000e-04, eta: 17:10:28, time: 0.983, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0510, loss_cls: 0.2239, acc: 92.1387, loss_bbox: 0.2713, loss_mask: 0.2663, loss: 0.8379 2024-06-02 02:59:23,375 - mmdet - INFO - Epoch [3][3450/7330] lr: 1.000e-04, eta: 17:09:37, time: 0.847, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0478, loss_cls: 0.2143, acc: 92.3718, loss_bbox: 0.2648, loss_mask: 0.2717, loss: 0.8239 2024-06-02 03:00:06,294 - mmdet - INFO - Epoch [3][3500/7330] lr: 1.000e-04, eta: 17:08:48, time: 0.858, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0542, loss_cls: 0.2166, acc: 92.3540, loss_bbox: 0.2714, loss_mask: 0.2659, loss: 0.8346 2024-06-02 03:00:51,907 - mmdet - INFO - Epoch [3][3550/7330] lr: 1.000e-04, eta: 17:08:09, time: 0.912, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0532, loss_cls: 0.2238, acc: 92.2334, loss_bbox: 0.2742, loss_mask: 0.2653, loss: 0.8436 2024-06-02 03:01:35,598 - mmdet - INFO - Epoch [3][3600/7330] lr: 1.000e-04, eta: 17:07:23, time: 0.874, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0511, loss_cls: 0.2200, acc: 92.2507, loss_bbox: 0.2670, loss_mask: 0.2600, loss: 0.8222 2024-06-02 03:02:21,364 - mmdet - INFO - Epoch [3][3650/7330] lr: 1.000e-04, eta: 17:06:44, time: 0.915, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0527, loss_cls: 0.2209, acc: 92.2190, loss_bbox: 0.2701, loss_mask: 0.2695, loss: 0.8370 2024-06-02 03:03:06,819 - mmdet - INFO - Epoch [3][3700/7330] lr: 1.000e-04, eta: 17:06:05, time: 0.909, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0485, loss_cls: 0.2109, acc: 92.7212, loss_bbox: 0.2572, loss_mask: 0.2586, loss: 0.7999 2024-06-02 03:03:50,265 - mmdet - INFO - Epoch [3][3750/7330] lr: 1.000e-04, eta: 17:05:18, time: 0.869, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0498, loss_cls: 0.2145, acc: 92.4431, loss_bbox: 0.2661, loss_mask: 0.2623, loss: 0.8162 2024-06-02 03:04:33,635 - mmdet - INFO - Epoch [3][3800/7330] lr: 1.000e-04, eta: 17:04:30, time: 0.867, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0547, loss_cls: 0.2199, acc: 92.2068, loss_bbox: 0.2700, loss_mask: 0.2646, loss: 0.8354 2024-06-02 03:05:21,612 - mmdet - INFO - Epoch [3][3850/7330] lr: 1.000e-04, eta: 17:04:00, time: 0.960, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0533, loss_cls: 0.2317, acc: 91.8066, loss_bbox: 0.2843, loss_mask: 0.2693, loss: 0.8651 2024-06-02 03:06:07,338 - mmdet - INFO - Epoch [3][3900/7330] lr: 1.000e-04, eta: 17:03:21, time: 0.914, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0526, loss_cls: 0.2186, acc: 92.4521, loss_bbox: 0.2671, loss_mask: 0.2645, loss: 0.8314 2024-06-02 03:06:53,234 - mmdet - INFO - Epoch [3][3950/7330] lr: 1.000e-04, eta: 17:02:43, time: 0.918, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0522, loss_cls: 0.2257, acc: 92.0837, loss_bbox: 0.2732, loss_mask: 0.2698, loss: 0.8461 2024-06-02 03:07:39,162 - mmdet - INFO - Epoch [3][4000/7330] lr: 1.000e-04, eta: 17:02:05, time: 0.918, data_time: 0.067, memory: 18040, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0552, loss_cls: 0.2289, acc: 91.8313, loss_bbox: 0.2835, loss_mask: 0.2696, loss: 0.8649 2024-06-02 03:08:22,864 - mmdet - INFO - Epoch [3][4050/7330] lr: 1.000e-04, eta: 17:01:19, time: 0.874, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0496, loss_cls: 0.2133, acc: 92.5183, loss_bbox: 0.2621, loss_mask: 0.2561, loss: 0.8060 2024-06-02 03:09:06,341 - mmdet - INFO - Epoch [3][4100/7330] lr: 1.000e-04, eta: 17:00:32, time: 0.870, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0530, loss_cls: 0.2231, acc: 92.3650, loss_bbox: 0.2704, loss_mask: 0.2640, loss: 0.8351 2024-06-02 03:09:52,562 - mmdet - INFO - Epoch [3][4150/7330] lr: 1.000e-04, eta: 16:59:55, time: 0.924, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0515, loss_cls: 0.2185, acc: 92.3105, loss_bbox: 0.2722, loss_mask: 0.2615, loss: 0.8297 2024-06-02 03:10:36,685 - mmdet - INFO - Epoch [3][4200/7330] lr: 1.000e-04, eta: 16:59:10, time: 0.882, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0576, loss_cls: 0.2367, acc: 91.7456, loss_bbox: 0.2887, loss_mask: 0.2729, loss: 0.8849 2024-06-02 03:11:24,722 - mmdet - INFO - Epoch [3][4250/7330] lr: 1.000e-04, eta: 16:58:40, time: 0.961, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0517, loss_cls: 0.2171, acc: 92.3625, loss_bbox: 0.2665, loss_mask: 0.2578, loss: 0.8197 2024-06-02 03:12:07,985 - mmdet - INFO - Epoch [3][4300/7330] lr: 1.000e-04, eta: 16:57:52, time: 0.865, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0534, loss_cls: 0.2216, acc: 92.2056, loss_bbox: 0.2733, loss_mask: 0.2636, loss: 0.8387 2024-06-02 03:12:50,843 - mmdet - INFO - Epoch [3][4350/7330] lr: 1.000e-04, eta: 16:57:03, time: 0.857, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0525, loss_cls: 0.2218, acc: 92.0662, loss_bbox: 0.2778, loss_mask: 0.2610, loss: 0.8395 2024-06-02 03:13:33,632 - mmdet - INFO - Epoch [3][4400/7330] lr: 1.000e-04, eta: 16:56:13, time: 0.856, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0541, loss_cls: 0.2263, acc: 91.9983, loss_bbox: 0.2763, loss_mask: 0.2676, loss: 0.8505 2024-06-02 03:14:20,484 - mmdet - INFO - Epoch [3][4450/7330] lr: 1.000e-04, eta: 16:55:38, time: 0.937, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0474, loss_cls: 0.2127, acc: 92.4775, loss_bbox: 0.2615, loss_mask: 0.2603, loss: 0.8051 2024-06-02 03:15:05,116 - mmdet - INFO - Epoch [3][4500/7330] lr: 1.000e-04, eta: 16:54:55, time: 0.892, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0507, loss_cls: 0.2200, acc: 92.2637, loss_bbox: 0.2674, loss_mask: 0.2633, loss: 0.8260 2024-06-02 03:15:50,985 - mmdet - INFO - Epoch [3][4550/7330] lr: 1.000e-04, eta: 16:54:17, time: 0.918, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0518, loss_cls: 0.2178, acc: 92.3030, loss_bbox: 0.2696, loss_mask: 0.2639, loss: 0.8300 2024-06-02 03:16:34,343 - mmdet - INFO - Epoch [3][4600/7330] lr: 1.000e-04, eta: 16:53:29, time: 0.867, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0536, loss_cls: 0.2303, acc: 92.0481, loss_bbox: 0.2774, loss_mask: 0.2711, loss: 0.8595 2024-06-02 03:17:19,631 - mmdet - INFO - Epoch [3][4650/7330] lr: 1.000e-04, eta: 16:52:49, time: 0.906, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0503, loss_cls: 0.2131, acc: 92.5532, loss_bbox: 0.2585, loss_mask: 0.2544, loss: 0.8003 2024-06-02 03:18:02,320 - mmdet - INFO - Epoch [3][4700/7330] lr: 1.000e-04, eta: 16:51:59, time: 0.854, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0507, loss_cls: 0.2118, acc: 92.4895, loss_bbox: 0.2695, loss_mask: 0.2655, loss: 0.8222 2024-06-02 03:18:47,316 - mmdet - INFO - Epoch [3][4750/7330] lr: 1.000e-04, eta: 16:51:17, time: 0.900, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0497, loss_cls: 0.2150, acc: 92.3606, loss_bbox: 0.2689, loss_mask: 0.2588, loss: 0.8176 2024-06-02 03:19:30,440 - mmdet - INFO - Epoch [3][4800/7330] lr: 1.000e-04, eta: 16:50:29, time: 0.862, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0492, loss_cls: 0.2141, acc: 92.6238, loss_bbox: 0.2581, loss_mask: 0.2621, loss: 0.8083 2024-06-02 03:20:15,881 - mmdet - INFO - Epoch [3][4850/7330] lr: 1.000e-04, eta: 16:49:49, time: 0.909, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0529, loss_cls: 0.2188, acc: 92.1582, loss_bbox: 0.2753, loss_mask: 0.2579, loss: 0.8324 2024-06-02 03:21:01,402 - mmdet - INFO - Epoch [3][4900/7330] lr: 1.000e-04, eta: 16:49:09, time: 0.910, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0528, loss_cls: 0.2198, acc: 92.0508, loss_bbox: 0.2738, loss_mask: 0.2627, loss: 0.8339 2024-06-02 03:21:44,233 - mmdet - INFO - Epoch [3][4950/7330] lr: 1.000e-04, eta: 16:48:20, time: 0.857, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0521, loss_cls: 0.2184, acc: 92.2354, loss_bbox: 0.2699, loss_mask: 0.2591, loss: 0.8254 2024-06-02 03:22:27,835 - mmdet - INFO - Epoch [3][5000/7330] lr: 1.000e-04, eta: 16:47:33, time: 0.872, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0539, loss_cls: 0.2178, acc: 92.2974, loss_bbox: 0.2680, loss_mask: 0.2562, loss: 0.8221 2024-06-02 03:23:14,193 - mmdet - INFO - Epoch [3][5050/7330] lr: 1.000e-04, eta: 16:46:56, time: 0.927, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0526, loss_cls: 0.2317, acc: 91.8542, loss_bbox: 0.2795, loss_mask: 0.2667, loss: 0.8556 2024-06-02 03:24:01,535 - mmdet - INFO - Epoch [3][5100/7330] lr: 1.000e-04, eta: 16:46:23, time: 0.947, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0506, loss_cls: 0.2231, acc: 92.1648, loss_bbox: 0.2717, loss_mask: 0.2605, loss: 0.8316 2024-06-02 03:24:44,995 - mmdet - INFO - Epoch [3][5150/7330] lr: 1.000e-04, eta: 16:45:36, time: 0.869, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0529, loss_cls: 0.2191, acc: 92.4333, loss_bbox: 0.2660, loss_mask: 0.2616, loss: 0.8250 2024-06-02 03:25:30,136 - mmdet - INFO - Epoch [3][5200/7330] lr: 1.000e-04, eta: 16:44:54, time: 0.903, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0488, loss_cls: 0.2143, acc: 92.4043, loss_bbox: 0.2631, loss_mask: 0.2567, loss: 0.8081 2024-06-02 03:26:15,036 - mmdet - INFO - Epoch [3][5250/7330] lr: 1.000e-04, eta: 16:44:12, time: 0.898, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0517, loss_cls: 0.2251, acc: 92.0193, loss_bbox: 0.2735, loss_mask: 0.2615, loss: 0.8372 2024-06-02 03:26:58,037 - mmdet - INFO - Epoch [3][5300/7330] lr: 1.000e-04, eta: 16:43:24, time: 0.860, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0548, loss_cls: 0.2299, acc: 91.8154, loss_bbox: 0.2839, loss_mask: 0.2702, loss: 0.8658 2024-06-02 03:27:41,102 - mmdet - INFO - Epoch [3][5350/7330] lr: 1.000e-04, eta: 16:42:35, time: 0.861, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0506, loss_cls: 0.2204, acc: 92.2510, loss_bbox: 0.2691, loss_mask: 0.2656, loss: 0.8300 2024-06-02 03:28:27,271 - mmdet - INFO - Epoch [3][5400/7330] lr: 1.000e-04, eta: 16:41:57, time: 0.923, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0538, loss_cls: 0.2210, acc: 92.1465, loss_bbox: 0.2678, loss_mask: 0.2620, loss: 0.8304 2024-06-02 03:29:10,538 - mmdet - INFO - Epoch [3][5450/7330] lr: 1.000e-04, eta: 16:41:10, time: 0.865, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0528, loss_cls: 0.2218, acc: 92.1042, loss_bbox: 0.2735, loss_mask: 0.2657, loss: 0.8386 2024-06-02 03:29:58,500 - mmdet - INFO - Epoch [3][5500/7330] lr: 1.000e-04, eta: 16:40:38, time: 0.959, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0540, loss_cls: 0.2290, acc: 91.9172, loss_bbox: 0.2782, loss_mask: 0.2628, loss: 0.8492 2024-06-02 03:30:41,660 - mmdet - INFO - Epoch [3][5550/7330] lr: 1.000e-04, eta: 16:39:50, time: 0.863, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0504, loss_cls: 0.2204, acc: 92.3315, loss_bbox: 0.2718, loss_mask: 0.2619, loss: 0.8305 2024-06-02 03:31:25,037 - mmdet - INFO - Epoch [3][5600/7330] lr: 1.000e-04, eta: 16:39:03, time: 0.868, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0505, loss_cls: 0.2147, acc: 92.3086, loss_bbox: 0.2654, loss_mask: 0.2644, loss: 0.8184 2024-06-02 03:32:08,001 - mmdet - INFO - Epoch [3][5650/7330] lr: 1.000e-04, eta: 16:38:14, time: 0.859, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0487, loss_cls: 0.2061, acc: 92.7910, loss_bbox: 0.2511, loss_mask: 0.2514, loss: 0.7813 2024-06-02 03:32:55,593 - mmdet - INFO - Epoch [3][5700/7330] lr: 1.000e-04, eta: 16:37:41, time: 0.952, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0493, loss_cls: 0.2132, acc: 92.5105, loss_bbox: 0.2605, loss_mask: 0.2665, loss: 0.8137 2024-06-02 03:33:40,814 - mmdet - INFO - Epoch [3][5750/7330] lr: 1.000e-04, eta: 16:37:00, time: 0.904, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0510, loss_cls: 0.2120, acc: 92.4451, loss_bbox: 0.2626, loss_mask: 0.2587, loss: 0.8079 2024-06-02 03:34:26,081 - mmdet - INFO - Epoch [3][5800/7330] lr: 1.000e-04, eta: 16:36:19, time: 0.905, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0499, loss_cls: 0.2146, acc: 92.3496, loss_bbox: 0.2663, loss_mask: 0.2601, loss: 0.8135 2024-06-02 03:35:09,073 - mmdet - INFO - Epoch [3][5850/7330] lr: 1.000e-04, eta: 16:35:30, time: 0.860, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0504, loss_cls: 0.2171, acc: 92.1997, loss_bbox: 0.2713, loss_mask: 0.2600, loss: 0.8216 2024-06-02 03:35:54,485 - mmdet - INFO - Epoch [3][5900/7330] lr: 1.000e-04, eta: 16:34:50, time: 0.908, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0490, loss_cls: 0.2143, acc: 92.4377, loss_bbox: 0.2568, loss_mask: 0.2592, loss: 0.8079 2024-06-02 03:36:37,655 - mmdet - INFO - Epoch [3][5950/7330] lr: 1.000e-04, eta: 16:34:02, time: 0.864, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0465, loss_cls: 0.2164, acc: 92.3408, loss_bbox: 0.2658, loss_mask: 0.2650, loss: 0.8187 2024-06-02 03:37:24,996 - mmdet - INFO - Epoch [3][6000/7330] lr: 1.000e-04, eta: 16:33:27, time: 0.947, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0481, loss_cls: 0.2142, acc: 92.5330, loss_bbox: 0.2619, loss_mask: 0.2574, loss: 0.8071 2024-06-02 03:38:08,202 - mmdet - INFO - Epoch [3][6050/7330] lr: 1.000e-04, eta: 16:32:40, time: 0.864, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0541, loss_cls: 0.2233, acc: 92.1130, loss_bbox: 0.2797, loss_mask: 0.2689, loss: 0.8515 2024-06-02 03:38:50,574 - mmdet - INFO - Epoch [3][6100/7330] lr: 1.000e-04, eta: 16:31:49, time: 0.847, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0508, loss_cls: 0.2116, acc: 92.5164, loss_bbox: 0.2608, loss_mask: 0.2584, loss: 0.8064 2024-06-02 03:39:35,957 - mmdet - INFO - Epoch [3][6150/7330] lr: 1.000e-04, eta: 16:31:08, time: 0.908, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0547, loss_cls: 0.2174, acc: 92.3347, loss_bbox: 0.2704, loss_mask: 0.2688, loss: 0.8379 2024-06-02 03:40:18,785 - mmdet - INFO - Epoch [3][6200/7330] lr: 1.000e-04, eta: 16:30:19, time: 0.857, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0542, loss_cls: 0.2210, acc: 92.2454, loss_bbox: 0.2678, loss_mask: 0.2624, loss: 0.8338 2024-06-02 03:41:02,206 - mmdet - INFO - Epoch [3][6250/7330] lr: 1.000e-04, eta: 16:29:32, time: 0.868, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0498, loss_cls: 0.2121, acc: 92.3735, loss_bbox: 0.2653, loss_mask: 0.2591, loss: 0.8113 2024-06-02 03:41:47,858 - mmdet - INFO - Epoch [3][6300/7330] lr: 1.000e-04, eta: 16:28:53, time: 0.913, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0506, loss_cls: 0.2105, acc: 92.5203, loss_bbox: 0.2620, loss_mask: 0.2598, loss: 0.8076 2024-06-02 03:42:35,085 - mmdet - INFO - Epoch [3][6350/7330] lr: 1.000e-04, eta: 16:28:18, time: 0.945, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0497, loss_cls: 0.2107, acc: 92.5576, loss_bbox: 0.2626, loss_mask: 0.2600, loss: 0.8081 2024-06-02 03:43:18,839 - mmdet - INFO - Epoch [3][6400/7330] lr: 1.000e-04, eta: 16:27:32, time: 0.875, data_time: 0.067, memory: 18040, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0523, loss_cls: 0.2176, acc: 92.3232, loss_bbox: 0.2668, loss_mask: 0.2698, loss: 0.8317 2024-06-02 03:44:04,535 - mmdet - INFO - Epoch [3][6450/7330] lr: 1.000e-04, eta: 16:26:52, time: 0.914, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0516, loss_cls: 0.2240, acc: 92.1250, loss_bbox: 0.2669, loss_mask: 0.2618, loss: 0.8276 2024-06-02 03:44:50,468 - mmdet - INFO - Epoch [3][6500/7330] lr: 1.000e-04, eta: 16:26:13, time: 0.919, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0532, loss_cls: 0.2151, acc: 92.4402, loss_bbox: 0.2697, loss_mask: 0.2685, loss: 0.8332 2024-06-02 03:45:33,741 - mmdet - INFO - Epoch [3][6550/7330] lr: 1.000e-04, eta: 16:25:25, time: 0.866, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0543, loss_cls: 0.2305, acc: 91.8247, loss_bbox: 0.2777, loss_mask: 0.2702, loss: 0.8600 2024-06-02 03:46:16,629 - mmdet - INFO - Epoch [3][6600/7330] lr: 1.000e-04, eta: 16:24:37, time: 0.858, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0513, loss_cls: 0.2256, acc: 92.0120, loss_bbox: 0.2741, loss_mask: 0.2627, loss: 0.8401 2024-06-02 03:47:03,641 - mmdet - INFO - Epoch [3][6650/7330] lr: 1.000e-04, eta: 16:24:01, time: 0.940, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0483, loss_cls: 0.2028, acc: 92.8545, loss_bbox: 0.2512, loss_mask: 0.2572, loss: 0.7805 2024-06-02 03:47:46,004 - mmdet - INFO - Epoch [3][6700/7330] lr: 1.000e-04, eta: 16:23:11, time: 0.847, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0508, loss_cls: 0.2150, acc: 92.4075, loss_bbox: 0.2610, loss_mask: 0.2582, loss: 0.8104 2024-06-02 03:48:31,467 - mmdet - INFO - Epoch [3][6750/7330] lr: 1.000e-04, eta: 16:22:30, time: 0.909, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0526, loss_cls: 0.2243, acc: 92.1943, loss_bbox: 0.2681, loss_mask: 0.2654, loss: 0.8358 2024-06-02 03:49:14,700 - mmdet - INFO - Epoch [3][6800/7330] lr: 1.000e-04, eta: 16:21:42, time: 0.865, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0521, loss_cls: 0.2199, acc: 92.3904, loss_bbox: 0.2653, loss_mask: 0.2603, loss: 0.8278 2024-06-02 03:49:57,230 - mmdet - INFO - Epoch [3][6850/7330] lr: 1.000e-04, eta: 16:20:53, time: 0.851, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0510, loss_cls: 0.2119, acc: 92.5156, loss_bbox: 0.2599, loss_mask: 0.2571, loss: 0.8060 2024-06-02 03:50:40,209 - mmdet - INFO - Epoch [3][6900/7330] lr: 1.000e-04, eta: 16:20:04, time: 0.860, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0513, loss_cls: 0.2170, acc: 92.3516, loss_bbox: 0.2660, loss_mask: 0.2536, loss: 0.8133 2024-06-02 03:51:29,371 - mmdet - INFO - Epoch [3][6950/7330] lr: 1.000e-04, eta: 16:19:35, time: 0.983, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0518, loss_cls: 0.2174, acc: 92.3638, loss_bbox: 0.2654, loss_mask: 0.2635, loss: 0.8248 2024-06-02 03:52:12,353 - mmdet - INFO - Epoch [3][7000/7330] lr: 1.000e-04, eta: 16:18:47, time: 0.860, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0507, loss_cls: 0.2167, acc: 92.3757, loss_bbox: 0.2638, loss_mask: 0.2624, loss: 0.8188 2024-06-02 03:52:57,940 - mmdet - INFO - Epoch [3][7050/7330] lr: 1.000e-04, eta: 16:18:06, time: 0.912, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0519, loss_cls: 0.2193, acc: 92.1602, loss_bbox: 0.2711, loss_mask: 0.2615, loss: 0.8276 2024-06-02 03:53:40,678 - mmdet - INFO - Epoch [3][7100/7330] lr: 1.000e-04, eta: 16:17:17, time: 0.855, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0498, loss_cls: 0.2155, acc: 92.5056, loss_bbox: 0.2582, loss_mask: 0.2558, loss: 0.8034 2024-06-02 03:54:27,870 - mmdet - INFO - Epoch [3][7150/7330] lr: 1.000e-04, eta: 16:16:42, time: 0.944, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0499, loss_cls: 0.2123, acc: 92.5288, loss_bbox: 0.2624, loss_mask: 0.2596, loss: 0.8090 2024-06-02 03:55:10,655 - mmdet - INFO - Epoch [3][7200/7330] lr: 1.000e-04, eta: 16:15:53, time: 0.856, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0477, loss_cls: 0.2136, acc: 92.3928, loss_bbox: 0.2633, loss_mask: 0.2575, loss: 0.8059 2024-06-02 03:55:56,204 - mmdet - INFO - Epoch [3][7250/7330] lr: 1.000e-04, eta: 16:15:12, time: 0.911, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0483, loss_cls: 0.2064, acc: 92.6355, loss_bbox: 0.2514, loss_mask: 0.2543, loss: 0.7857 2024-06-02 03:56:39,180 - mmdet - INFO - Epoch [3][7300/7330] lr: 1.000e-04, eta: 16:14:24, time: 0.860, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0471, loss_cls: 0.2052, acc: 92.7703, loss_bbox: 0.2554, loss_mask: 0.2526, loss: 0.7822 2024-06-02 03:57:05,488 - mmdet - INFO - Saving checkpoint at 3 epochs 2024-06-02 03:59:14,076 - mmdet - INFO - Evaluating bbox... 2024-06-02 03:59:42,897 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.407 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.654 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.442 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.243 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.439 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.567 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.364 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.586 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.700 2024-06-02 03:59:42,897 - mmdet - INFO - Evaluating segm... 2024-06-02 04:00:13,039 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.377 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.619 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.400 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.171 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.405 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.301 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.549 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.695 2024-06-02 04:00:13,500 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 04:00:13,503 - mmdet - INFO - Epoch(val) [3][625] bbox_mAP: 0.4070, bbox_mAP_50: 0.6540, bbox_mAP_75: 0.4420, bbox_mAP_s: 0.2430, bbox_mAP_m: 0.4390, bbox_mAP_l: 0.5670, bbox_mAP_copypaste: 0.407 0.654 0.442 0.243 0.439 0.567, segm_mAP: 0.3770, segm_mAP_50: 0.6190, segm_mAP_75: 0.4000, segm_mAP_s: 0.1710, segm_mAP_m: 0.4050, segm_mAP_l: 0.5980, segm_mAP_copypaste: 0.377 0.619 0.400 0.171 0.405 0.598 2024-06-02 04:01:08,347 - mmdet - INFO - Epoch [4][50/7330] lr: 1.000e-04, eta: 16:12:25, time: 1.096, data_time: 0.122, memory: 18040, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0531, loss_cls: 0.2141, acc: 92.3992, loss_bbox: 0.2678, loss_mask: 0.2592, loss: 0.8183 2024-06-02 04:01:53,371 - mmdet - INFO - Epoch [4][100/7330] lr: 1.000e-04, eta: 16:11:43, time: 0.900, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0482, loss_cls: 0.1990, acc: 92.7722, loss_bbox: 0.2492, loss_mask: 0.2487, loss: 0.7676 2024-06-02 04:02:38,901 - mmdet - INFO - Epoch [4][150/7330] lr: 1.000e-04, eta: 16:11:03, time: 0.911, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0467, loss_cls: 0.2028, acc: 92.6448, loss_bbox: 0.2581, loss_mask: 0.2555, loss: 0.7857 2024-06-02 04:03:25,866 - mmdet - INFO - Epoch [4][200/7330] lr: 1.000e-04, eta: 16:10:27, time: 0.939, data_time: 0.070, memory: 18040, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0517, loss_cls: 0.2170, acc: 92.1785, loss_bbox: 0.2668, loss_mask: 0.2595, loss: 0.8204 2024-06-02 04:04:09,423 - mmdet - INFO - Epoch [4][250/7330] lr: 1.000e-04, eta: 16:09:40, time: 0.871, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0503, loss_cls: 0.1963, acc: 92.9463, loss_bbox: 0.2573, loss_mask: 0.2521, loss: 0.7805 2024-06-02 04:04:53,210 - mmdet - INFO - Epoch [4][300/7330] lr: 1.000e-04, eta: 16:08:55, time: 0.876, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0493, loss_cls: 0.2071, acc: 92.4614, loss_bbox: 0.2595, loss_mask: 0.2551, loss: 0.7919 2024-06-02 04:05:36,782 - mmdet - INFO - Epoch [4][350/7330] lr: 1.000e-04, eta: 16:08:08, time: 0.871, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0478, loss_cls: 0.1959, acc: 92.8765, loss_bbox: 0.2531, loss_mask: 0.2474, loss: 0.7662 2024-06-02 04:06:19,915 - mmdet - INFO - Epoch [4][400/7330] lr: 1.000e-04, eta: 16:07:21, time: 0.863, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0505, loss_cls: 0.2032, acc: 92.5557, loss_bbox: 0.2574, loss_mask: 0.2540, loss: 0.7878 2024-06-02 04:07:05,978 - mmdet - INFO - Epoch [4][450/7330] lr: 1.000e-04, eta: 16:06:42, time: 0.921, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0464, loss_cls: 0.1966, acc: 92.9668, loss_bbox: 0.2526, loss_mask: 0.2493, loss: 0.7636 2024-06-02 04:07:49,242 - mmdet - INFO - Epoch [4][500/7330] lr: 1.000e-04, eta: 16:05:55, time: 0.865, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0492, loss_cls: 0.2024, acc: 92.7129, loss_bbox: 0.2541, loss_mask: 0.2481, loss: 0.7737 2024-06-02 04:08:33,196 - mmdet - INFO - Epoch [4][550/7330] lr: 1.000e-04, eta: 16:05:09, time: 0.879, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0489, loss_cls: 0.2046, acc: 92.7808, loss_bbox: 0.2480, loss_mask: 0.2517, loss: 0.7762 2024-06-02 04:09:16,958 - mmdet - INFO - Epoch [4][600/7330] lr: 1.000e-04, eta: 16:04:24, time: 0.875, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0487, loss_cls: 0.2019, acc: 92.6421, loss_bbox: 0.2615, loss_mask: 0.2561, loss: 0.7898 2024-06-02 04:10:02,421 - mmdet - INFO - Epoch [4][650/7330] lr: 1.000e-04, eta: 16:03:43, time: 0.909, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0493, loss_cls: 0.2082, acc: 92.5144, loss_bbox: 0.2589, loss_mask: 0.2538, loss: 0.7937 2024-06-02 04:10:52,324 - mmdet - INFO - Epoch [4][700/7330] lr: 1.000e-04, eta: 16:03:15, time: 0.998, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0495, loss_cls: 0.1991, acc: 92.8262, loss_bbox: 0.2513, loss_mask: 0.2523, loss: 0.7760 2024-06-02 04:11:37,978 - mmdet - INFO - Epoch [4][750/7330] lr: 1.000e-04, eta: 16:02:35, time: 0.913, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0528, loss_cls: 0.2144, acc: 92.3481, loss_bbox: 0.2638, loss_mask: 0.2568, loss: 0.8121 2024-06-02 04:12:20,873 - mmdet - INFO - Epoch [4][800/7330] lr: 1.000e-04, eta: 16:01:46, time: 0.858, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0454, loss_cls: 0.1920, acc: 93.2451, loss_bbox: 0.2402, loss_mask: 0.2510, loss: 0.7495 2024-06-02 04:13:09,330 - mmdet - INFO - Epoch [4][850/7330] lr: 1.000e-04, eta: 16:01:14, time: 0.969, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0459, loss_cls: 0.2050, acc: 92.6360, loss_bbox: 0.2586, loss_mask: 0.2576, loss: 0.7890 2024-06-02 04:13:53,482 - mmdet - INFO - Epoch [4][900/7330] lr: 1.000e-04, eta: 16:00:29, time: 0.882, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0481, loss_cls: 0.2004, acc: 92.7390, loss_bbox: 0.2514, loss_mask: 0.2476, loss: 0.7702 2024-06-02 04:14:39,988 - mmdet - INFO - Epoch [4][950/7330] lr: 1.000e-04, eta: 15:59:51, time: 0.930, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0508, loss_cls: 0.2108, acc: 92.3542, loss_bbox: 0.2636, loss_mask: 0.2504, loss: 0.7968 2024-06-02 04:15:23,372 - mmdet - INFO - Epoch [4][1000/7330] lr: 1.000e-04, eta: 15:59:05, time: 0.868, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0528, loss_cls: 0.2125, acc: 92.2932, loss_bbox: 0.2676, loss_mask: 0.2640, loss: 0.8223 2024-06-02 04:16:07,129 - mmdet - INFO - Epoch [4][1050/7330] lr: 1.000e-04, eta: 15:58:19, time: 0.875, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0478, loss_cls: 0.1965, acc: 92.9309, loss_bbox: 0.2490, loss_mask: 0.2489, loss: 0.7646 2024-06-02 04:16:51,056 - mmdet - INFO - Epoch [4][1100/7330] lr: 1.000e-04, eta: 15:57:33, time: 0.879, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0502, loss_cls: 0.2060, acc: 92.5874, loss_bbox: 0.2546, loss_mask: 0.2511, loss: 0.7849 2024-06-02 04:17:34,783 - mmdet - INFO - Epoch [4][1150/7330] lr: 1.000e-04, eta: 15:56:48, time: 0.875, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0501, loss_cls: 0.2106, acc: 92.5042, loss_bbox: 0.2604, loss_mask: 0.2592, loss: 0.8039 2024-06-02 04:18:21,916 - mmdet - INFO - Epoch [4][1200/7330] lr: 1.000e-04, eta: 15:56:11, time: 0.943, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0483, loss_cls: 0.2072, acc: 92.5596, loss_bbox: 0.2630, loss_mask: 0.2505, loss: 0.7908 2024-06-02 04:19:06,878 - mmdet - INFO - Epoch [4][1250/7330] lr: 1.000e-04, eta: 15:55:29, time: 0.899, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0481, loss_cls: 0.2035, acc: 92.6289, loss_bbox: 0.2533, loss_mask: 0.2493, loss: 0.7753 2024-06-02 04:19:52,993 - mmdet - INFO - Epoch [4][1300/7330] lr: 1.000e-04, eta: 15:54:50, time: 0.922, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0478, loss_cls: 0.2046, acc: 92.5820, loss_bbox: 0.2582, loss_mask: 0.2529, loss: 0.7861 2024-06-02 04:20:42,157 - mmdet - INFO - Epoch [4][1350/7330] lr: 1.000e-04, eta: 15:54:19, time: 0.983, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0483, loss_cls: 0.2055, acc: 92.5779, loss_bbox: 0.2519, loss_mask: 0.2515, loss: 0.7785 2024-06-02 04:21:26,813 - mmdet - INFO - Epoch [4][1400/7330] lr: 1.000e-04, eta: 15:53:36, time: 0.893, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0508, loss_cls: 0.2080, acc: 92.6172, loss_bbox: 0.2580, loss_mask: 0.2519, loss: 0.7920 2024-06-02 04:22:10,388 - mmdet - INFO - Epoch [4][1450/7330] lr: 1.000e-04, eta: 15:52:49, time: 0.871, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0495, loss_cls: 0.2047, acc: 92.6523, loss_bbox: 0.2593, loss_mask: 0.2535, loss: 0.7900 2024-06-02 04:22:59,062 - mmdet - INFO - Epoch [4][1500/7330] lr: 1.000e-04, eta: 15:52:17, time: 0.973, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0479, loss_cls: 0.2047, acc: 92.7598, loss_bbox: 0.2522, loss_mask: 0.2512, loss: 0.7780 2024-06-02 04:23:43,226 - mmdet - INFO - Epoch [4][1550/7330] lr: 1.000e-04, eta: 15:51:32, time: 0.883, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0514, loss_cls: 0.2090, acc: 92.5251, loss_bbox: 0.2676, loss_mask: 0.2592, loss: 0.8113 2024-06-02 04:24:27,081 - mmdet - INFO - Epoch [4][1600/7330] lr: 1.000e-04, eta: 15:50:47, time: 0.877, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0492, loss_cls: 0.2072, acc: 92.5105, loss_bbox: 0.2631, loss_mask: 0.2517, loss: 0.7939 2024-06-02 04:25:10,571 - mmdet - INFO - Epoch [4][1650/7330] lr: 1.000e-04, eta: 15:50:00, time: 0.870, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0474, loss_cls: 0.2078, acc: 92.6365, loss_bbox: 0.2569, loss_mask: 0.2513, loss: 0.7850 2024-06-02 04:25:54,021 - mmdet - INFO - Epoch [4][1700/7330] lr: 1.000e-04, eta: 15:49:13, time: 0.869, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0480, loss_cls: 0.2005, acc: 92.8867, loss_bbox: 0.2489, loss_mask: 0.2455, loss: 0.7638 2024-06-02 04:26:37,313 - mmdet - INFO - Epoch [4][1750/7330] lr: 1.000e-04, eta: 15:48:26, time: 0.866, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0451, loss_cls: 0.2011, acc: 92.7561, loss_bbox: 0.2532, loss_mask: 0.2531, loss: 0.7741 2024-06-02 04:27:26,214 - mmdet - INFO - Epoch [4][1800/7330] lr: 1.000e-04, eta: 15:47:54, time: 0.978, data_time: 0.066, memory: 18040, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0477, loss_cls: 0.2078, acc: 92.5911, loss_bbox: 0.2577, loss_mask: 0.2488, loss: 0.7834 2024-06-02 04:28:14,949 - mmdet - INFO - Epoch [4][1850/7330] lr: 1.000e-04, eta: 15:47:22, time: 0.975, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0457, loss_cls: 0.1975, acc: 92.9646, loss_bbox: 0.2427, loss_mask: 0.2455, loss: 0.7517 2024-06-02 04:29:02,914 - mmdet - INFO - Epoch [4][1900/7330] lr: 1.000e-04, eta: 15:46:47, time: 0.959, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0491, loss_cls: 0.2016, acc: 92.7861, loss_bbox: 0.2514, loss_mask: 0.2477, loss: 0.7730 2024-06-02 04:29:47,639 - mmdet - INFO - Epoch [4][1950/7330] lr: 1.000e-04, eta: 15:46:04, time: 0.894, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0487, loss_cls: 0.2072, acc: 92.6313, loss_bbox: 0.2580, loss_mask: 0.2558, loss: 0.7909 2024-06-02 04:30:33,281 - mmdet - INFO - Epoch [4][2000/7330] lr: 1.000e-04, eta: 15:45:23, time: 0.913, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0484, loss_cls: 0.2000, acc: 92.8162, loss_bbox: 0.2501, loss_mask: 0.2467, loss: 0.7669 2024-06-02 04:31:19,387 - mmdet - INFO - Epoch [4][2050/7330] lr: 1.000e-04, eta: 15:44:44, time: 0.922, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0482, loss_cls: 0.2042, acc: 92.6387, loss_bbox: 0.2596, loss_mask: 0.2519, loss: 0.7872 2024-06-02 04:32:02,582 - mmdet - INFO - Epoch [4][2100/7330] lr: 1.000e-04, eta: 15:43:56, time: 0.864, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0456, loss_cls: 0.2075, acc: 92.5952, loss_bbox: 0.2578, loss_mask: 0.2510, loss: 0.7852 2024-06-02 04:32:48,728 - mmdet - INFO - Epoch [4][2150/7330] lr: 1.000e-04, eta: 15:43:17, time: 0.923, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0481, loss_cls: 0.2022, acc: 92.7141, loss_bbox: 0.2564, loss_mask: 0.2511, loss: 0.7787 2024-06-02 04:33:32,242 - mmdet - INFO - Epoch [4][2200/7330] lr: 1.000e-04, eta: 15:42:30, time: 0.870, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0483, loss_cls: 0.2070, acc: 92.5530, loss_bbox: 0.2583, loss_mask: 0.2516, loss: 0.7856 2024-06-02 04:34:15,502 - mmdet - INFO - Epoch [4][2250/7330] lr: 1.000e-04, eta: 15:41:43, time: 0.865, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0496, loss_cls: 0.2101, acc: 92.4277, loss_bbox: 0.2642, loss_mask: 0.2562, loss: 0.8031 2024-06-02 04:34:59,103 - mmdet - INFO - Epoch [4][2300/7330] lr: 1.000e-04, eta: 15:40:57, time: 0.872, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0484, loss_cls: 0.2051, acc: 92.5759, loss_bbox: 0.2608, loss_mask: 0.2552, loss: 0.7918 2024-06-02 04:35:45,008 - mmdet - INFO - Epoch [4][2350/7330] lr: 1.000e-04, eta: 15:40:17, time: 0.918, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0482, loss_cls: 0.2062, acc: 92.5898, loss_bbox: 0.2587, loss_mask: 0.2579, loss: 0.7923 2024-06-02 04:36:32,710 - mmdet - INFO - Epoch [4][2400/7330] lr: 1.000e-04, eta: 15:39:41, time: 0.954, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0501, loss_cls: 0.2134, acc: 92.3909, loss_bbox: 0.2628, loss_mask: 0.2534, loss: 0.8026 2024-06-02 04:37:21,990 - mmdet - INFO - Epoch [4][2450/7330] lr: 1.000e-04, eta: 15:39:09, time: 0.986, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0486, loss_cls: 0.2050, acc: 92.6489, loss_bbox: 0.2556, loss_mask: 0.2530, loss: 0.7858 2024-06-02 04:38:07,275 - mmdet - INFO - Epoch [4][2500/7330] lr: 1.000e-04, eta: 15:38:27, time: 0.906, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0460, loss_cls: 0.2022, acc: 92.7273, loss_bbox: 0.2509, loss_mask: 0.2572, loss: 0.7785 2024-06-02 04:38:52,917 - mmdet - INFO - Epoch [4][2550/7330] lr: 1.000e-04, eta: 15:37:46, time: 0.913, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0503, loss_cls: 0.2081, acc: 92.5034, loss_bbox: 0.2618, loss_mask: 0.2557, loss: 0.7982 2024-06-02 04:39:39,841 - mmdet - INFO - Epoch [4][2600/7330] lr: 1.000e-04, eta: 15:37:09, time: 0.938, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0517, loss_cls: 0.2084, acc: 92.5125, loss_bbox: 0.2638, loss_mask: 0.2503, loss: 0.7980 2024-06-02 04:40:25,640 - mmdet - INFO - Epoch [4][2650/7330] lr: 1.000e-04, eta: 15:36:28, time: 0.916, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0490, loss_cls: 0.2081, acc: 92.5364, loss_bbox: 0.2589, loss_mask: 0.2568, loss: 0.7935 2024-06-02 04:41:09,200 - mmdet - INFO - Epoch [4][2700/7330] lr: 1.000e-04, eta: 15:35:42, time: 0.871, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0477, loss_cls: 0.2059, acc: 92.6516, loss_bbox: 0.2519, loss_mask: 0.2504, loss: 0.7767 2024-06-02 04:41:52,584 - mmdet - INFO - Epoch [4][2750/7330] lr: 1.000e-04, eta: 15:34:55, time: 0.868, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0467, loss_cls: 0.2033, acc: 92.7854, loss_bbox: 0.2526, loss_mask: 0.2530, loss: 0.7800 2024-06-02 04:42:36,250 - mmdet - INFO - Epoch [4][2800/7330] lr: 1.000e-04, eta: 15:34:09, time: 0.873, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0491, loss_cls: 0.2056, acc: 92.6313, loss_bbox: 0.2581, loss_mask: 0.2519, loss: 0.7868 2024-06-02 04:43:20,027 - mmdet - INFO - Epoch [4][2850/7330] lr: 1.000e-04, eta: 15:33:23, time: 0.876, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0474, loss_cls: 0.2031, acc: 92.6746, loss_bbox: 0.2587, loss_mask: 0.2546, loss: 0.7863 2024-06-02 04:44:09,540 - mmdet - INFO - Epoch [4][2900/7330] lr: 1.000e-04, eta: 15:32:51, time: 0.990, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0473, loss_cls: 0.2017, acc: 92.7625, loss_bbox: 0.2531, loss_mask: 0.2534, loss: 0.7776 2024-06-02 04:44:53,955 - mmdet - INFO - Epoch [4][2950/7330] lr: 1.000e-04, eta: 15:32:07, time: 0.888, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0467, loss_cls: 0.1999, acc: 92.8301, loss_bbox: 0.2460, loss_mask: 0.2440, loss: 0.7574 2024-06-02 04:45:40,164 - mmdet - INFO - Epoch [4][3000/7330] lr: 1.000e-04, eta: 15:31:27, time: 0.924, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0486, loss_cls: 0.2092, acc: 92.3809, loss_bbox: 0.2604, loss_mask: 0.2579, loss: 0.7984 2024-06-02 04:46:30,736 - mmdet - INFO - Epoch [4][3050/7330] lr: 1.000e-04, eta: 15:30:59, time: 1.011, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0482, loss_cls: 0.2053, acc: 92.6794, loss_bbox: 0.2518, loss_mask: 0.2506, loss: 0.7792 2024-06-02 04:47:14,132 - mmdet - INFO - Epoch [4][3100/7330] lr: 1.000e-04, eta: 15:30:12, time: 0.868, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0474, loss_cls: 0.2010, acc: 92.6597, loss_bbox: 0.2550, loss_mask: 0.2495, loss: 0.7741 2024-06-02 04:47:59,118 - mmdet - INFO - Epoch [4][3150/7330] lr: 1.000e-04, eta: 15:29:29, time: 0.900, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0459, loss_cls: 0.1977, acc: 92.9846, loss_bbox: 0.2512, loss_mask: 0.2520, loss: 0.7680 2024-06-02 04:48:47,581 - mmdet - INFO - Epoch [4][3200/7330] lr: 1.000e-04, eta: 15:28:55, time: 0.969, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0512, loss_cls: 0.2127, acc: 92.3945, loss_bbox: 0.2621, loss_mask: 0.2590, loss: 0.8084 2024-06-02 04:49:31,028 - mmdet - INFO - Epoch [4][3250/7330] lr: 1.000e-04, eta: 15:28:08, time: 0.869, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0464, loss_cls: 0.1950, acc: 92.9932, loss_bbox: 0.2464, loss_mask: 0.2515, loss: 0.7614 2024-06-02 04:50:14,604 - mmdet - INFO - Epoch [4][3300/7330] lr: 1.000e-04, eta: 15:27:21, time: 0.872, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0520, loss_cls: 0.2206, acc: 92.0173, loss_bbox: 0.2755, loss_mask: 0.2543, loss: 0.8288 2024-06-02 04:50:57,889 - mmdet - INFO - Epoch [4][3350/7330] lr: 1.000e-04, eta: 15:26:34, time: 0.866, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0505, loss_cls: 0.2067, acc: 92.5391, loss_bbox: 0.2599, loss_mask: 0.2524, loss: 0.7921 2024-06-02 04:51:41,233 - mmdet - INFO - Epoch [4][3400/7330] lr: 1.000e-04, eta: 15:25:47, time: 0.867, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0483, loss_cls: 0.2075, acc: 92.5574, loss_bbox: 0.2634, loss_mask: 0.2549, loss: 0.7965 2024-06-02 04:52:25,051 - mmdet - INFO - Epoch [4][3450/7330] lr: 1.000e-04, eta: 15:25:01, time: 0.876, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0510, loss_cls: 0.2085, acc: 92.5073, loss_bbox: 0.2619, loss_mask: 0.2505, loss: 0.7950 2024-06-02 04:53:10,350 - mmdet - INFO - Epoch [4][3500/7330] lr: 1.000e-04, eta: 15:24:19, time: 0.906, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0457, loss_cls: 0.1976, acc: 92.7969, loss_bbox: 0.2485, loss_mask: 0.2426, loss: 0.7547 2024-06-02 04:54:01,298 - mmdet - INFO - Epoch [4][3550/7330] lr: 1.000e-04, eta: 15:23:51, time: 1.019, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0491, loss_cls: 0.2094, acc: 92.3997, loss_bbox: 0.2634, loss_mask: 0.2549, loss: 0.8007 2024-06-02 04:54:47,702 - mmdet - INFO - Epoch [4][3600/7330] lr: 1.000e-04, eta: 15:23:11, time: 0.928, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0487, loss_cls: 0.2045, acc: 92.6392, loss_bbox: 0.2546, loss_mask: 0.2483, loss: 0.7794 2024-06-02 04:55:33,714 - mmdet - INFO - Epoch [4][3650/7330] lr: 1.000e-04, eta: 15:22:31, time: 0.920, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0487, loss_cls: 0.2056, acc: 92.6340, loss_bbox: 0.2582, loss_mask: 0.2580, loss: 0.7934 2024-06-02 04:56:22,312 - mmdet - INFO - Epoch [4][3700/7330] lr: 1.000e-04, eta: 15:21:57, time: 0.972, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0530, loss_cls: 0.2103, acc: 92.3965, loss_bbox: 0.2691, loss_mask: 0.2561, loss: 0.8120 2024-06-02 04:57:08,132 - mmdet - INFO - Epoch [4][3750/7330] lr: 1.000e-04, eta: 15:21:16, time: 0.916, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0494, loss_cls: 0.2042, acc: 92.5898, loss_bbox: 0.2615, loss_mask: 0.2565, loss: 0.7932 2024-06-02 04:57:50,918 - mmdet - INFO - Epoch [4][3800/7330] lr: 1.000e-04, eta: 15:20:27, time: 0.856, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0464, loss_cls: 0.2041, acc: 92.7537, loss_bbox: 0.2514, loss_mask: 0.2492, loss: 0.7736 2024-06-02 04:58:34,387 - mmdet - INFO - Epoch [4][3850/7330] lr: 1.000e-04, eta: 15:19:41, time: 0.869, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0495, loss_cls: 0.1927, acc: 93.0623, loss_bbox: 0.2443, loss_mask: 0.2431, loss: 0.7532 2024-06-02 04:59:17,530 - mmdet - INFO - Epoch [4][3900/7330] lr: 1.000e-04, eta: 15:18:53, time: 0.863, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0473, loss_cls: 0.2042, acc: 92.6985, loss_bbox: 0.2592, loss_mask: 0.2523, loss: 0.7851 2024-06-02 05:00:00,311 - mmdet - INFO - Epoch [4][3950/7330] lr: 1.000e-04, eta: 15:18:05, time: 0.856, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0480, loss_cls: 0.2030, acc: 92.7327, loss_bbox: 0.2557, loss_mask: 0.2523, loss: 0.7830 2024-06-02 05:00:44,447 - mmdet - INFO - Epoch [4][4000/7330] lr: 1.000e-04, eta: 15:17:20, time: 0.883, data_time: 0.070, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0519, loss_cls: 0.2176, acc: 92.2183, loss_bbox: 0.2639, loss_mask: 0.2519, loss: 0.8101 2024-06-02 05:01:28,284 - mmdet - INFO - Epoch [4][4050/7330] lr: 1.000e-04, eta: 15:16:34, time: 0.877, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0518, loss_cls: 0.2042, acc: 92.5969, loss_bbox: 0.2568, loss_mask: 0.2477, loss: 0.7843 2024-06-02 05:02:11,414 - mmdet - INFO - Epoch [4][4100/7330] lr: 1.000e-04, eta: 15:15:47, time: 0.863, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0479, loss_cls: 0.2027, acc: 92.7012, loss_bbox: 0.2529, loss_mask: 0.2457, loss: 0.7710 2024-06-02 05:03:01,674 - mmdet - INFO - Epoch [4][4150/7330] lr: 1.000e-04, eta: 15:15:16, time: 1.005, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0485, loss_cls: 0.1985, acc: 92.9536, loss_bbox: 0.2490, loss_mask: 0.2509, loss: 0.7680 2024-06-02 05:03:50,097 - mmdet - INFO - Epoch [4][4200/7330] lr: 1.000e-04, eta: 15:14:41, time: 0.969, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0506, loss_cls: 0.2123, acc: 92.3855, loss_bbox: 0.2646, loss_mask: 0.2548, loss: 0.8048 2024-06-02 05:04:35,419 - mmdet - INFO - Epoch [4][4250/7330] lr: 1.000e-04, eta: 15:13:59, time: 0.906, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0492, loss_cls: 0.2181, acc: 92.3376, loss_bbox: 0.2656, loss_mask: 0.2542, loss: 0.8103 2024-06-02 05:05:21,419 - mmdet - INFO - Epoch [4][4300/7330] lr: 1.000e-04, eta: 15:13:18, time: 0.920, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0489, loss_cls: 0.2117, acc: 92.4573, loss_bbox: 0.2615, loss_mask: 0.2497, loss: 0.7950 2024-06-02 05:06:07,844 - mmdet - INFO - Epoch [4][4350/7330] lr: 1.000e-04, eta: 15:12:38, time: 0.929, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0475, loss_cls: 0.2041, acc: 92.7485, loss_bbox: 0.2487, loss_mask: 0.2493, loss: 0.7738 2024-06-02 05:06:51,356 - mmdet - INFO - Epoch [4][4400/7330] lr: 1.000e-04, eta: 15:11:52, time: 0.870, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0463, loss_cls: 0.2004, acc: 92.7998, loss_bbox: 0.2508, loss_mask: 0.2483, loss: 0.7707 2024-06-02 05:07:34,788 - mmdet - INFO - Epoch [4][4450/7330] lr: 1.000e-04, eta: 15:11:05, time: 0.869, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0490, loss_cls: 0.2021, acc: 92.6814, loss_bbox: 0.2468, loss_mask: 0.2536, loss: 0.7746 2024-06-02 05:08:17,974 - mmdet - INFO - Epoch [4][4500/7330] lr: 1.000e-04, eta: 15:10:18, time: 0.864, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0472, loss_cls: 0.1979, acc: 92.8762, loss_bbox: 0.2473, loss_mask: 0.2511, loss: 0.7652 2024-06-02 05:09:00,779 - mmdet - INFO - Epoch [4][4550/7330] lr: 1.000e-04, eta: 15:09:29, time: 0.856, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0462, loss_cls: 0.1955, acc: 92.9963, loss_bbox: 0.2440, loss_mask: 0.2469, loss: 0.7540 2024-06-02 05:09:43,753 - mmdet - INFO - Epoch [4][4600/7330] lr: 1.000e-04, eta: 15:08:42, time: 0.859, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0469, loss_cls: 0.1975, acc: 92.8398, loss_bbox: 0.2472, loss_mask: 0.2480, loss: 0.7603 2024-06-02 05:10:27,488 - mmdet - INFO - Epoch [4][4650/7330] lr: 1.000e-04, eta: 15:07:56, time: 0.875, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0494, loss_cls: 0.2048, acc: 92.6304, loss_bbox: 0.2522, loss_mask: 0.2542, loss: 0.7837 2024-06-02 05:11:12,816 - mmdet - INFO - Epoch [4][4700/7330] lr: 1.000e-04, eta: 15:07:13, time: 0.907, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0496, loss_cls: 0.2073, acc: 92.4329, loss_bbox: 0.2615, loss_mask: 0.2515, loss: 0.7934 2024-06-02 05:12:01,522 - mmdet - INFO - Epoch [4][4750/7330] lr: 1.000e-04, eta: 15:06:39, time: 0.974, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0486, loss_cls: 0.1977, acc: 92.8098, loss_bbox: 0.2527, loss_mask: 0.2478, loss: 0.7703 2024-06-02 05:12:45,259 - mmdet - INFO - Epoch [4][4800/7330] lr: 1.000e-04, eta: 15:05:53, time: 0.875, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0509, loss_cls: 0.2080, acc: 92.4983, loss_bbox: 0.2611, loss_mask: 0.2499, loss: 0.7927 2024-06-02 05:13:34,691 - mmdet - INFO - Epoch [4][4850/7330] lr: 1.000e-04, eta: 15:05:20, time: 0.989, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0521, loss_cls: 0.2134, acc: 92.5027, loss_bbox: 0.2614, loss_mask: 0.2505, loss: 0.8011 2024-06-02 05:14:23,597 - mmdet - INFO - Epoch [4][4900/7330] lr: 1.000e-04, eta: 15:04:45, time: 0.978, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0500, loss_cls: 0.1968, acc: 92.9282, loss_bbox: 0.2483, loss_mask: 0.2496, loss: 0.7697 2024-06-02 05:15:06,990 - mmdet - INFO - Epoch [4][4950/7330] lr: 1.000e-04, eta: 15:03:58, time: 0.868, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0463, loss_cls: 0.2056, acc: 92.5691, loss_bbox: 0.2521, loss_mask: 0.2479, loss: 0.7758 2024-06-02 05:15:52,688 - mmdet - INFO - Epoch [4][5000/7330] lr: 1.000e-04, eta: 15:03:17, time: 0.914, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0493, loss_cls: 0.2087, acc: 92.6367, loss_bbox: 0.2587, loss_mask: 0.2565, loss: 0.7970 2024-06-02 05:16:36,144 - mmdet - INFO - Epoch [4][5050/7330] lr: 1.000e-04, eta: 15:02:30, time: 0.869, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0474, loss_cls: 0.2052, acc: 92.8071, loss_bbox: 0.2478, loss_mask: 0.2497, loss: 0.7716 2024-06-02 05:17:19,351 - mmdet - INFO - Epoch [4][5100/7330] lr: 1.000e-04, eta: 15:01:43, time: 0.864, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0494, loss_cls: 0.2027, acc: 92.6624, loss_bbox: 0.2533, loss_mask: 0.2480, loss: 0.7774 2024-06-02 05:18:02,890 - mmdet - INFO - Epoch [4][5150/7330] lr: 1.000e-04, eta: 15:00:57, time: 0.871, data_time: 0.033, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0502, loss_cls: 0.2104, acc: 92.3877, loss_bbox: 0.2658, loss_mask: 0.2591, loss: 0.8066 2024-06-02 05:18:46,032 - mmdet - INFO - Epoch [4][5200/7330] lr: 1.000e-04, eta: 15:00:09, time: 0.863, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0471, loss_cls: 0.2012, acc: 92.6528, loss_bbox: 0.2541, loss_mask: 0.2493, loss: 0.7730 2024-06-02 05:19:29,244 - mmdet - INFO - Epoch [4][5250/7330] lr: 1.000e-04, eta: 14:59:22, time: 0.864, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0483, loss_cls: 0.2088, acc: 92.5371, loss_bbox: 0.2567, loss_mask: 0.2519, loss: 0.7886 2024-06-02 05:20:16,322 - mmdet - INFO - Epoch [4][5300/7330] lr: 1.000e-04, eta: 14:58:43, time: 0.942, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0457, loss_cls: 0.2021, acc: 92.7664, loss_bbox: 0.2491, loss_mask: 0.2479, loss: 0.7658 2024-06-02 05:21:01,806 - mmdet - INFO - Epoch [4][5350/7330] lr: 1.000e-04, eta: 14:58:01, time: 0.910, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0476, loss_cls: 0.2077, acc: 92.6387, loss_bbox: 0.2564, loss_mask: 0.2517, loss: 0.7852 2024-06-02 05:21:48,872 - mmdet - INFO - Epoch [4][5400/7330] lr: 1.000e-04, eta: 14:57:23, time: 0.941, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0465, loss_cls: 0.2045, acc: 92.6306, loss_bbox: 0.2528, loss_mask: 0.2444, loss: 0.7688 2024-06-02 05:22:33,837 - mmdet - INFO - Epoch [4][5450/7330] lr: 1.000e-04, eta: 14:56:39, time: 0.899, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0485, loss_cls: 0.2080, acc: 92.5566, loss_bbox: 0.2521, loss_mask: 0.2583, loss: 0.7882 2024-06-02 05:23:19,752 - mmdet - INFO - Epoch [4][5500/7330] lr: 1.000e-04, eta: 14:55:58, time: 0.918, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0496, loss_cls: 0.2110, acc: 92.4275, loss_bbox: 0.2605, loss_mask: 0.2554, loss: 0.7989 2024-06-02 05:24:05,442 - mmdet - INFO - Epoch [4][5550/7330] lr: 1.000e-04, eta: 14:55:16, time: 0.914, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0487, loss_cls: 0.1982, acc: 92.9348, loss_bbox: 0.2515, loss_mask: 0.2555, loss: 0.7747 2024-06-02 05:24:51,729 - mmdet - INFO - Epoch [4][5600/7330] lr: 1.000e-04, eta: 14:54:36, time: 0.926, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0505, loss_cls: 0.2082, acc: 92.5068, loss_bbox: 0.2590, loss_mask: 0.2545, loss: 0.7969 2024-06-02 05:25:35,144 - mmdet - INFO - Epoch [4][5650/7330] lr: 1.000e-04, eta: 14:53:49, time: 0.868, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0496, loss_cls: 0.2148, acc: 92.3062, loss_bbox: 0.2623, loss_mask: 0.2549, loss: 0.8041 2024-06-02 05:26:18,526 - mmdet - INFO - Epoch [4][5700/7330] lr: 1.000e-04, eta: 14:53:02, time: 0.868, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0470, loss_cls: 0.2063, acc: 92.5293, loss_bbox: 0.2555, loss_mask: 0.2456, loss: 0.7759 2024-06-02 05:27:01,967 - mmdet - INFO - Epoch [4][5750/7330] lr: 1.000e-04, eta: 14:52:16, time: 0.869, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0483, loss_cls: 0.2113, acc: 92.3381, loss_bbox: 0.2580, loss_mask: 0.2482, loss: 0.7876 2024-06-02 05:27:44,718 - mmdet - INFO - Epoch [4][5800/7330] lr: 1.000e-04, eta: 14:51:28, time: 0.855, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0466, loss_cls: 0.1969, acc: 92.8799, loss_bbox: 0.2398, loss_mask: 0.2442, loss: 0.7490 2024-06-02 05:28:29,577 - mmdet - INFO - Epoch [4][5850/7330] lr: 1.000e-04, eta: 14:50:44, time: 0.897, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0454, loss_cls: 0.2027, acc: 92.7690, loss_bbox: 0.2488, loss_mask: 0.2476, loss: 0.7664 2024-06-02 05:29:15,320 - mmdet - INFO - Epoch [4][5900/7330] lr: 1.000e-04, eta: 14:50:02, time: 0.915, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0499, loss_cls: 0.2121, acc: 92.3669, loss_bbox: 0.2596, loss_mask: 0.2541, loss: 0.7980 2024-06-02 05:30:00,316 - mmdet - INFO - Epoch [4][5950/7330] lr: 1.000e-04, eta: 14:49:19, time: 0.900, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0479, loss_cls: 0.2099, acc: 92.4399, loss_bbox: 0.2595, loss_mask: 0.2501, loss: 0.7902 2024-06-02 05:30:46,361 - mmdet - INFO - Epoch [4][6000/7330] lr: 1.000e-04, eta: 14:48:38, time: 0.921, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0490, loss_cls: 0.2157, acc: 92.1919, loss_bbox: 0.2645, loss_mask: 0.2514, loss: 0.8044 2024-06-02 05:31:29,327 - mmdet - INFO - Epoch [4][6050/7330] lr: 1.000e-04, eta: 14:47:50, time: 0.859, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0443, loss_cls: 0.1965, acc: 92.9636, loss_bbox: 0.2473, loss_mask: 0.2503, loss: 0.7614 2024-06-02 05:32:14,546 - mmdet - INFO - Epoch [4][6100/7330] lr: 1.000e-04, eta: 14:47:08, time: 0.904, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0499, loss_cls: 0.2049, acc: 92.6653, loss_bbox: 0.2650, loss_mask: 0.2581, loss: 0.8008 2024-06-02 05:33:05,050 - mmdet - INFO - Epoch [4][6150/7330] lr: 1.000e-04, eta: 14:46:36, time: 1.011, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0497, loss_cls: 0.2157, acc: 92.2305, loss_bbox: 0.2651, loss_mask: 0.2605, loss: 0.8152 2024-06-02 05:33:48,274 - mmdet - INFO - Epoch [4][6200/7330] lr: 1.000e-04, eta: 14:45:49, time: 0.864, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0490, loss_cls: 0.2076, acc: 92.4014, loss_bbox: 0.2606, loss_mask: 0.2543, loss: 0.7943 2024-06-02 05:34:30,954 - mmdet - INFO - Epoch [4][6250/7330] lr: 1.000e-04, eta: 14:45:01, time: 0.854, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0465, loss_cls: 0.2005, acc: 92.9062, loss_bbox: 0.2449, loss_mask: 0.2466, loss: 0.7586 2024-06-02 05:35:13,831 - mmdet - INFO - Epoch [4][6300/7330] lr: 1.000e-04, eta: 14:44:13, time: 0.858, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0481, loss_cls: 0.2067, acc: 92.6646, loss_bbox: 0.2525, loss_mask: 0.2503, loss: 0.7800 2024-06-02 05:35:59,837 - mmdet - INFO - Epoch [4][6350/7330] lr: 1.000e-04, eta: 14:43:32, time: 0.920, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0490, loss_cls: 0.2094, acc: 92.5486, loss_bbox: 0.2623, loss_mask: 0.2514, loss: 0.7955 2024-06-02 05:36:43,053 - mmdet - INFO - Epoch [4][6400/7330] lr: 1.000e-04, eta: 14:42:45, time: 0.864, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0492, loss_cls: 0.2041, acc: 92.6692, loss_bbox: 0.2552, loss_mask: 0.2570, loss: 0.7904 2024-06-02 05:37:25,918 - mmdet - INFO - Epoch [4][6450/7330] lr: 1.000e-04, eta: 14:41:57, time: 0.857, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0490, loss_cls: 0.2138, acc: 92.4514, loss_bbox: 0.2633, loss_mask: 0.2555, loss: 0.8058 2024-06-02 05:38:08,435 - mmdet - INFO - Epoch [4][6500/7330] lr: 1.000e-04, eta: 14:41:08, time: 0.850, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0486, loss_cls: 0.1961, acc: 93.0000, loss_bbox: 0.2466, loss_mask: 0.2432, loss: 0.7551 2024-06-02 05:38:56,103 - mmdet - INFO - Epoch [4][6550/7330] lr: 1.000e-04, eta: 14:40:31, time: 0.954, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0451, loss_cls: 0.1924, acc: 93.1226, loss_bbox: 0.2374, loss_mask: 0.2478, loss: 0.7431 2024-06-02 05:39:43,947 - mmdet - INFO - Epoch [4][6600/7330] lr: 1.000e-04, eta: 14:39:53, time: 0.957, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0471, loss_cls: 0.2085, acc: 92.4023, loss_bbox: 0.2586, loss_mask: 0.2515, loss: 0.7859 2024-06-02 05:40:29,361 - mmdet - INFO - Epoch [4][6650/7330] lr: 1.000e-04, eta: 14:39:11, time: 0.908, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0495, loss_cls: 0.2087, acc: 92.4417, loss_bbox: 0.2643, loss_mask: 0.2556, loss: 0.8020 2024-06-02 05:41:14,700 - mmdet - INFO - Epoch [4][6700/7330] lr: 1.000e-04, eta: 14:38:28, time: 0.907, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0461, loss_cls: 0.1976, acc: 92.9883, loss_bbox: 0.2446, loss_mask: 0.2506, loss: 0.7602 2024-06-02 05:42:00,344 - mmdet - INFO - Epoch [4][6750/7330] lr: 1.000e-04, eta: 14:37:46, time: 0.913, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0488, loss_cls: 0.2016, acc: 92.8735, loss_bbox: 0.2494, loss_mask: 0.2510, loss: 0.7727 2024-06-02 05:42:43,724 - mmdet - INFO - Epoch [4][6800/7330] lr: 1.000e-04, eta: 14:36:59, time: 0.868, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0512, loss_cls: 0.2119, acc: 92.4058, loss_bbox: 0.2623, loss_mask: 0.2606, loss: 0.8090 2024-06-02 05:43:26,875 - mmdet - INFO - Epoch [4][6850/7330] lr: 1.000e-04, eta: 14:36:12, time: 0.863, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0483, loss_cls: 0.2019, acc: 92.8096, loss_bbox: 0.2488, loss_mask: 0.2523, loss: 0.7744 2024-06-02 05:44:13,169 - mmdet - INFO - Epoch [4][6900/7330] lr: 1.000e-04, eta: 14:35:31, time: 0.926, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0486, loss_cls: 0.2009, acc: 92.7988, loss_bbox: 0.2517, loss_mask: 0.2447, loss: 0.7697 2024-06-02 05:44:56,700 - mmdet - INFO - Epoch [4][6950/7330] lr: 1.000e-04, eta: 14:34:45, time: 0.871, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0501, loss_cls: 0.2064, acc: 92.5742, loss_bbox: 0.2557, loss_mask: 0.2507, loss: 0.7851 2024-06-02 05:45:40,205 - mmdet - INFO - Epoch [4][7000/7330] lr: 1.000e-04, eta: 14:33:59, time: 0.870, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0486, loss_cls: 0.2043, acc: 92.7517, loss_bbox: 0.2525, loss_mask: 0.2550, loss: 0.7837 2024-06-02 05:46:23,145 - mmdet - INFO - Epoch [4][7050/7330] lr: 1.000e-04, eta: 14:33:11, time: 0.859, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0457, loss_cls: 0.2010, acc: 92.8013, loss_bbox: 0.2418, loss_mask: 0.2506, loss: 0.7613 2024-06-02 05:47:11,064 - mmdet - INFO - Epoch [4][7100/7330] lr: 1.000e-04, eta: 14:32:34, time: 0.958, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0449, loss_cls: 0.1928, acc: 93.0110, loss_bbox: 0.2444, loss_mask: 0.2442, loss: 0.7482 2024-06-02 05:47:56,863 - mmdet - INFO - Epoch [4][7150/7330] lr: 1.000e-04, eta: 14:31:52, time: 0.916, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0490, loss_cls: 0.2094, acc: 92.4983, loss_bbox: 0.2562, loss_mask: 0.2537, loss: 0.7896 2024-06-02 05:48:42,611 - mmdet - INFO - Epoch [4][7200/7330] lr: 1.000e-04, eta: 14:31:10, time: 0.915, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0502, loss_cls: 0.1990, acc: 92.9490, loss_bbox: 0.2469, loss_mask: 0.2478, loss: 0.7668 2024-06-02 05:49:28,846 - mmdet - INFO - Epoch [4][7250/7330] lr: 1.000e-04, eta: 14:30:29, time: 0.925, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0490, loss_cls: 0.2100, acc: 92.5220, loss_bbox: 0.2558, loss_mask: 0.2520, loss: 0.7910 2024-06-02 05:50:13,497 - mmdet - INFO - Epoch [4][7300/7330] lr: 1.000e-04, eta: 14:29:45, time: 0.893, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0440, loss_cls: 0.1967, acc: 92.9106, loss_bbox: 0.2437, loss_mask: 0.2442, loss: 0.7499 2024-06-02 05:50:39,997 - mmdet - INFO - Saving checkpoint at 4 epochs 2024-06-02 05:52:48,829 - mmdet - INFO - Evaluating bbox... 2024-06-02 05:53:16,991 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.421 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.664 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.456 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.250 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 ] = 0.589 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.547 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.547 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.547 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.356 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.593 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.717 2024-06-02 05:53:16,991 - mmdet - INFO - Evaluating segm... 2024-06-02 05:53:45,131 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.386 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.630 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.410 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.170 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.419 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.606 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.292 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.548 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.698 2024-06-02 05:53:45,607 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 05:53:45,609 - mmdet - INFO - Epoch(val) [4][625] bbox_mAP: 0.4210, bbox_mAP_50: 0.6640, bbox_mAP_75: 0.4560, bbox_mAP_s: 0.2500, bbox_mAP_m: 0.4600, bbox_mAP_l: 0.5890, bbox_mAP_copypaste: 0.421 0.664 0.456 0.250 0.460 0.589, segm_mAP: 0.3860, segm_mAP_50: 0.6300, segm_mAP_75: 0.4100, segm_mAP_s: 0.1700, segm_mAP_m: 0.4190, segm_mAP_l: 0.6060, segm_mAP_copypaste: 0.386 0.630 0.410 0.170 0.419 0.606 2024-06-02 05:54:42,737 - mmdet - INFO - Epoch [5][50/7330] lr: 1.000e-04, eta: 14:28:06, time: 1.142, data_time: 0.122, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0465, loss_cls: 0.1995, acc: 92.7424, loss_bbox: 0.2525, loss_mask: 0.2486, loss: 0.7680 2024-06-02 05:55:25,952 - mmdet - INFO - Epoch [5][100/7330] lr: 1.000e-04, eta: 14:27:19, time: 0.864, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0447, loss_cls: 0.1975, acc: 92.7708, loss_bbox: 0.2532, loss_mask: 0.2427, loss: 0.7580 2024-06-02 05:56:09,646 - mmdet - INFO - Epoch [5][150/7330] lr: 1.000e-04, eta: 14:26:33, time: 0.874, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0466, loss_cls: 0.1993, acc: 92.6672, loss_bbox: 0.2521, loss_mask: 0.2412, loss: 0.7586 2024-06-02 05:56:53,414 - mmdet - INFO - Epoch [5][200/7330] lr: 1.000e-04, eta: 14:25:47, time: 0.875, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0496, loss_cls: 0.1956, acc: 92.7112, loss_bbox: 0.2589, loss_mask: 0.2533, loss: 0.7783 2024-06-02 05:57:37,100 - mmdet - INFO - Epoch [5][250/7330] lr: 1.000e-04, eta: 14:25:01, time: 0.874, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0488, loss_cls: 0.1938, acc: 92.8792, loss_bbox: 0.2478, loss_mask: 0.2442, loss: 0.7535 2024-06-02 05:58:20,028 - mmdet - INFO - Epoch [5][300/7330] lr: 1.000e-04, eta: 14:24:14, time: 0.859, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0455, loss_cls: 0.1937, acc: 93.0151, loss_bbox: 0.2432, loss_mask: 0.2373, loss: 0.7384 2024-06-02 05:59:05,447 - mmdet - INFO - Epoch [5][350/7330] lr: 1.000e-04, eta: 14:23:31, time: 0.908, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0425, loss_cls: 0.1843, acc: 93.2568, loss_bbox: 0.2341, loss_mask: 0.2371, loss: 0.7166 2024-06-02 05:59:53,580 - mmdet - INFO - Epoch [5][400/7330] lr: 1.000e-04, eta: 14:22:54, time: 0.963, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0465, loss_cls: 0.1966, acc: 92.8242, loss_bbox: 0.2504, loss_mask: 0.2456, loss: 0.7595 2024-06-02 06:00:42,909 - mmdet - INFO - Epoch [5][450/7330] lr: 1.000e-04, eta: 14:22:19, time: 0.986, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0511, loss_cls: 0.1977, acc: 92.7383, loss_bbox: 0.2593, loss_mask: 0.2515, loss: 0.7825 2024-06-02 06:01:25,919 - mmdet - INFO - Epoch [5][500/7330] lr: 1.000e-04, eta: 14:21:32, time: 0.860, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0438, loss_cls: 0.1891, acc: 93.0889, loss_bbox: 0.2433, loss_mask: 0.2477, loss: 0.7427 2024-06-02 06:02:13,538 - mmdet - INFO - Epoch [5][550/7330] lr: 1.000e-04, eta: 14:20:54, time: 0.952, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0424, loss_cls: 0.1802, acc: 93.4478, loss_bbox: 0.2350, loss_mask: 0.2415, loss: 0.7186 2024-06-02 06:02:59,893 - mmdet - INFO - Epoch [5][600/7330] lr: 1.000e-04, eta: 14:20:13, time: 0.927, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0446, loss_cls: 0.1910, acc: 93.0544, loss_bbox: 0.2425, loss_mask: 0.2453, loss: 0.7432 2024-06-02 06:03:43,287 - mmdet - INFO - Epoch [5][650/7330] lr: 1.000e-04, eta: 14:19:26, time: 0.868, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0456, loss_cls: 0.1942, acc: 92.9231, loss_bbox: 0.2470, loss_mask: 0.2432, loss: 0.7501 2024-06-02 06:04:26,610 - mmdet - INFO - Epoch [5][700/7330] lr: 1.000e-04, eta: 14:18:40, time: 0.867, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0482, loss_cls: 0.1947, acc: 92.9114, loss_bbox: 0.2424, loss_mask: 0.2415, loss: 0.7466 2024-06-02 06:05:10,086 - mmdet - INFO - Epoch [5][750/7330] lr: 1.000e-04, eta: 14:17:53, time: 0.869, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0484, loss_cls: 0.2007, acc: 92.6868, loss_bbox: 0.2505, loss_mask: 0.2414, loss: 0.7601 2024-06-02 06:05:53,021 - mmdet - INFO - Epoch [5][800/7330] lr: 1.000e-04, eta: 14:17:06, time: 0.859, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0448, loss_cls: 0.1908, acc: 93.1594, loss_bbox: 0.2343, loss_mask: 0.2378, loss: 0.7292 2024-06-02 06:06:36,399 - mmdet - INFO - Epoch [5][850/7330] lr: 1.000e-04, eta: 14:16:19, time: 0.868, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0477, loss_cls: 0.1996, acc: 92.7532, loss_bbox: 0.2540, loss_mask: 0.2465, loss: 0.7701 2024-06-02 06:07:19,729 - mmdet - INFO - Epoch [5][900/7330] lr: 1.000e-04, eta: 14:15:33, time: 0.866, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0468, loss_cls: 0.1940, acc: 92.8643, loss_bbox: 0.2520, loss_mask: 0.2453, loss: 0.7579 2024-06-02 06:08:08,191 - mmdet - INFO - Epoch [5][950/7330] lr: 1.000e-04, eta: 14:14:56, time: 0.969, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0493, loss_cls: 0.1933, acc: 92.8186, loss_bbox: 0.2492, loss_mask: 0.2469, loss: 0.7592 2024-06-02 06:08:53,858 - mmdet - INFO - Epoch [5][1000/7330] lr: 1.000e-04, eta: 14:14:14, time: 0.913, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0486, loss_cls: 0.1954, acc: 93.0022, loss_bbox: 0.2438, loss_mask: 0.2444, loss: 0.7548 2024-06-02 06:09:42,731 - mmdet - INFO - Epoch [5][1050/7330] lr: 1.000e-04, eta: 14:13:38, time: 0.977, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0443, loss_cls: 0.1886, acc: 93.1506, loss_bbox: 0.2413, loss_mask: 0.2380, loss: 0.7322 2024-06-02 06:10:31,942 - mmdet - INFO - Epoch [5][1100/7330] lr: 1.000e-04, eta: 14:13:02, time: 0.984, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0433, loss_cls: 0.1934, acc: 92.9866, loss_bbox: 0.2409, loss_mask: 0.2428, loss: 0.7405 2024-06-02 06:11:15,772 - mmdet - INFO - Epoch [5][1150/7330] lr: 1.000e-04, eta: 14:12:16, time: 0.877, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0482, loss_cls: 0.1924, acc: 92.9785, loss_bbox: 0.2521, loss_mask: 0.2490, loss: 0.7626 2024-06-02 06:11:59,789 - mmdet - INFO - Epoch [5][1200/7330] lr: 1.000e-04, eta: 14:11:31, time: 0.880, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0474, loss_cls: 0.1940, acc: 92.9231, loss_bbox: 0.2484, loss_mask: 0.2408, loss: 0.7514 2024-06-02 06:12:45,311 - mmdet - INFO - Epoch [5][1250/7330] lr: 1.000e-04, eta: 14:10:49, time: 0.910, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0457, loss_cls: 0.1969, acc: 92.7236, loss_bbox: 0.2545, loss_mask: 0.2494, loss: 0.7666 2024-06-02 06:13:28,836 - mmdet - INFO - Epoch [5][1300/7330] lr: 1.000e-04, eta: 14:10:02, time: 0.870, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0479, loss_cls: 0.1991, acc: 92.7407, loss_bbox: 0.2583, loss_mask: 0.2460, loss: 0.7718 2024-06-02 06:14:11,855 - mmdet - INFO - Epoch [5][1350/7330] lr: 1.000e-04, eta: 14:09:15, time: 0.860, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0450, loss_cls: 0.1898, acc: 93.0825, loss_bbox: 0.2407, loss_mask: 0.2410, loss: 0.7354 2024-06-02 06:14:54,856 - mmdet - INFO - Epoch [5][1400/7330] lr: 1.000e-04, eta: 14:08:28, time: 0.860, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0454, loss_cls: 0.1910, acc: 93.0679, loss_bbox: 0.2409, loss_mask: 0.2426, loss: 0.7387 2024-06-02 06:15:37,196 - mmdet - INFO - Epoch [5][1450/7330] lr: 1.000e-04, eta: 14:07:39, time: 0.847, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0448, loss_cls: 0.1927, acc: 93.0864, loss_bbox: 0.2392, loss_mask: 0.2464, loss: 0.7434 2024-06-02 06:16:22,645 - mmdet - INFO - Epoch [5][1500/7330] lr: 1.000e-04, eta: 14:06:57, time: 0.909, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0468, loss_cls: 0.1971, acc: 92.8982, loss_bbox: 0.2477, loss_mask: 0.2447, loss: 0.7571 2024-06-02 06:17:07,714 - mmdet - INFO - Epoch [5][1550/7330] lr: 1.000e-04, eta: 14:06:13, time: 0.901, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0451, loss_cls: 0.1964, acc: 92.9021, loss_bbox: 0.2451, loss_mask: 0.2455, loss: 0.7520 2024-06-02 06:17:58,407 - mmdet - INFO - Epoch [5][1600/7330] lr: 1.000e-04, eta: 14:05:40, time: 1.014, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0459, loss_cls: 0.1955, acc: 92.8542, loss_bbox: 0.2481, loss_mask: 0.2408, loss: 0.7489 2024-06-02 06:18:44,626 - mmdet - INFO - Epoch [5][1650/7330] lr: 1.000e-04, eta: 14:04:59, time: 0.924, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0463, loss_cls: 0.1939, acc: 92.9583, loss_bbox: 0.2433, loss_mask: 0.2441, loss: 0.7477 2024-06-02 06:19:30,537 - mmdet - INFO - Epoch [5][1700/7330] lr: 1.000e-04, eta: 14:04:17, time: 0.918, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0480, loss_cls: 0.1943, acc: 92.8879, loss_bbox: 0.2504, loss_mask: 0.2501, loss: 0.7624 2024-06-02 06:20:13,784 - mmdet - INFO - Epoch [5][1750/7330] lr: 1.000e-04, eta: 14:03:31, time: 0.865, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0481, loss_cls: 0.2023, acc: 92.7229, loss_bbox: 0.2532, loss_mask: 0.2447, loss: 0.7695 2024-06-02 06:20:56,198 - mmdet - INFO - Epoch [5][1800/7330] lr: 1.000e-04, eta: 14:02:42, time: 0.848, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0458, loss_cls: 0.1919, acc: 93.0986, loss_bbox: 0.2377, loss_mask: 0.2388, loss: 0.7341 2024-06-02 06:21:40,878 - mmdet - INFO - Epoch [5][1850/7330] lr: 1.000e-04, eta: 14:01:58, time: 0.894, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0463, loss_cls: 0.1960, acc: 92.8513, loss_bbox: 0.2466, loss_mask: 0.2405, loss: 0.7490 2024-06-02 06:22:24,268 - mmdet - INFO - Epoch [5][1900/7330] lr: 1.000e-04, eta: 14:01:12, time: 0.868, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0479, loss_cls: 0.1994, acc: 92.6584, loss_bbox: 0.2505, loss_mask: 0.2425, loss: 0.7604 2024-06-02 06:23:08,087 - mmdet - INFO - Epoch [5][1950/7330] lr: 1.000e-04, eta: 14:00:26, time: 0.876, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0446, loss_cls: 0.1947, acc: 92.9343, loss_bbox: 0.2424, loss_mask: 0.2364, loss: 0.7390 2024-06-02 06:23:51,870 - mmdet - INFO - Epoch [5][2000/7330] lr: 1.000e-04, eta: 13:59:40, time: 0.876, data_time: 0.068, memory: 18040, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0493, loss_cls: 0.2032, acc: 92.5530, loss_bbox: 0.2518, loss_mask: 0.2464, loss: 0.7720 2024-06-02 06:24:35,128 - mmdet - INFO - Epoch [5][2050/7330] lr: 1.000e-04, eta: 13:58:54, time: 0.865, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0448, loss_cls: 0.1935, acc: 93.0718, loss_bbox: 0.2389, loss_mask: 0.2410, loss: 0.7379 2024-06-02 06:25:20,334 - mmdet - INFO - Epoch [5][2100/7330] lr: 1.000e-04, eta: 13:58:11, time: 0.904, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0445, loss_cls: 0.1925, acc: 92.9983, loss_bbox: 0.2430, loss_mask: 0.2394, loss: 0.7373 2024-06-02 06:26:07,590 - mmdet - INFO - Epoch [5][2150/7330] lr: 1.000e-04, eta: 13:57:31, time: 0.945, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0466, loss_cls: 0.1969, acc: 92.7751, loss_bbox: 0.2461, loss_mask: 0.2409, loss: 0.7516 2024-06-02 06:26:53,509 - mmdet - INFO - Epoch [5][2200/7330] lr: 1.000e-04, eta: 13:56:49, time: 0.918, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0464, loss_cls: 0.1952, acc: 93.0012, loss_bbox: 0.2461, loss_mask: 0.2417, loss: 0.7492 2024-06-02 06:27:39,017 - mmdet - INFO - Epoch [5][2250/7330] lr: 1.000e-04, eta: 13:56:07, time: 0.910, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0477, loss_cls: 0.1927, acc: 92.9119, loss_bbox: 0.2453, loss_mask: 0.2428, loss: 0.7486 2024-06-02 06:28:27,393 - mmdet - INFO - Epoch [5][2300/7330] lr: 1.000e-04, eta: 13:55:29, time: 0.967, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0431, loss_cls: 0.1910, acc: 93.0198, loss_bbox: 0.2398, loss_mask: 0.2413, loss: 0.7349 2024-06-02 06:29:10,443 - mmdet - INFO - Epoch [5][2350/7330] lr: 1.000e-04, eta: 13:54:42, time: 0.861, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0459, loss_cls: 0.1906, acc: 93.0635, loss_bbox: 0.2371, loss_mask: 0.2407, loss: 0.7335 2024-06-02 06:29:53,308 - mmdet - INFO - Epoch [5][2400/7330] lr: 1.000e-04, eta: 13:53:55, time: 0.857, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0458, loss_cls: 0.1868, acc: 93.2502, loss_bbox: 0.2357, loss_mask: 0.2358, loss: 0.7246 2024-06-02 06:30:38,661 - mmdet - INFO - Epoch [5][2450/7330] lr: 1.000e-04, eta: 13:53:12, time: 0.907, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0462, loss_cls: 0.1946, acc: 92.8882, loss_bbox: 0.2498, loss_mask: 0.2464, loss: 0.7561 2024-06-02 06:31:22,131 - mmdet - INFO - Epoch [5][2500/7330] lr: 1.000e-04, eta: 13:52:25, time: 0.869, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0465, loss_cls: 0.1942, acc: 92.9580, loss_bbox: 0.2420, loss_mask: 0.2408, loss: 0.7441 2024-06-02 06:32:05,937 - mmdet - INFO - Epoch [5][2550/7330] lr: 1.000e-04, eta: 13:51:40, time: 0.876, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0457, loss_cls: 0.1948, acc: 92.9436, loss_bbox: 0.2492, loss_mask: 0.2434, loss: 0.7542 2024-06-02 06:32:49,204 - mmdet - INFO - Epoch [5][2600/7330] lr: 1.000e-04, eta: 13:50:53, time: 0.865, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0447, loss_cls: 0.2021, acc: 92.7991, loss_bbox: 0.2499, loss_mask: 0.2433, loss: 0.7590 2024-06-02 06:33:32,399 - mmdet - INFO - Epoch [5][2650/7330] lr: 1.000e-04, eta: 13:50:06, time: 0.864, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0462, loss_cls: 0.1873, acc: 93.2026, loss_bbox: 0.2405, loss_mask: 0.2434, loss: 0.7383 2024-06-02 06:34:19,159 - mmdet - INFO - Epoch [5][2700/7330] lr: 1.000e-04, eta: 13:49:26, time: 0.935, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0469, loss_cls: 0.1960, acc: 92.8567, loss_bbox: 0.2481, loss_mask: 0.2450, loss: 0.7575 2024-06-02 06:35:11,992 - mmdet - INFO - Epoch [5][2750/7330] lr: 1.000e-04, eta: 13:48:56, time: 1.057, data_time: 0.213, memory: 18040, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0465, loss_cls: 0.2002, acc: 92.7559, loss_bbox: 0.2530, loss_mask: 0.2491, loss: 0.7698 2024-06-02 06:35:57,304 - mmdet - INFO - Epoch [5][2800/7330] lr: 1.000e-04, eta: 13:48:13, time: 0.906, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0473, loss_cls: 0.1834, acc: 93.3625, loss_bbox: 0.2332, loss_mask: 0.2405, loss: 0.7250 2024-06-02 06:36:46,063 - mmdet - INFO - Epoch [5][2850/7330] lr: 1.000e-04, eta: 13:47:36, time: 0.975, data_time: 0.073, memory: 18040, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0489, loss_cls: 0.2020, acc: 92.6560, loss_bbox: 0.2534, loss_mask: 0.2487, loss: 0.7741 2024-06-02 06:37:31,768 - mmdet - INFO - Epoch [5][2900/7330] lr: 1.000e-04, eta: 13:46:53, time: 0.914, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0463, loss_cls: 0.1893, acc: 93.1721, loss_bbox: 0.2419, loss_mask: 0.2429, loss: 0.7411 2024-06-02 06:38:15,384 - mmdet - INFO - Epoch [5][2950/7330] lr: 1.000e-04, eta: 13:46:07, time: 0.872, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0478, loss_cls: 0.1964, acc: 92.8311, loss_bbox: 0.2423, loss_mask: 0.2449, loss: 0.7532 2024-06-02 06:38:58,467 - mmdet - INFO - Epoch [5][3000/7330] lr: 1.000e-04, eta: 13:45:20, time: 0.862, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0471, loss_cls: 0.1967, acc: 92.9524, loss_bbox: 0.2458, loss_mask: 0.2488, loss: 0.7582 2024-06-02 06:39:41,187 - mmdet - INFO - Epoch [5][3050/7330] lr: 1.000e-04, eta: 13:44:33, time: 0.854, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0452, loss_cls: 0.1921, acc: 93.1021, loss_bbox: 0.2398, loss_mask: 0.2407, loss: 0.7360 2024-06-02 06:40:26,918 - mmdet - INFO - Epoch [5][3100/7330] lr: 1.000e-04, eta: 13:43:50, time: 0.915, data_time: 0.070, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0464, loss_cls: 0.1977, acc: 92.7896, loss_bbox: 0.2504, loss_mask: 0.2445, loss: 0.7589 2024-06-02 06:41:09,936 - mmdet - INFO - Epoch [5][3150/7330] lr: 1.000e-04, eta: 13:43:03, time: 0.860, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0452, loss_cls: 0.1949, acc: 92.8594, loss_bbox: 0.2459, loss_mask: 0.2486, loss: 0.7535 2024-06-02 06:41:55,513 - mmdet - INFO - Epoch [5][3200/7330] lr: 1.000e-04, eta: 13:42:21, time: 0.912, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0483, loss_cls: 0.1931, acc: 92.9785, loss_bbox: 0.2420, loss_mask: 0.2490, loss: 0.7536 2024-06-02 06:42:39,287 - mmdet - INFO - Epoch [5][3250/7330] lr: 1.000e-04, eta: 13:41:35, time: 0.875, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0478, loss_cls: 0.1933, acc: 92.9700, loss_bbox: 0.2477, loss_mask: 0.2438, loss: 0.7521 2024-06-02 06:43:25,150 - mmdet - INFO - Epoch [5][3300/7330] lr: 1.000e-04, eta: 13:40:53, time: 0.917, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0485, loss_cls: 0.1960, acc: 92.8984, loss_bbox: 0.2479, loss_mask: 0.2518, loss: 0.7653 2024-06-02 06:44:10,899 - mmdet - INFO - Epoch [5][3350/7330] lr: 1.000e-04, eta: 13:40:10, time: 0.915, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0456, loss_cls: 0.1967, acc: 92.8667, loss_bbox: 0.2448, loss_mask: 0.2389, loss: 0.7451 2024-06-02 06:44:53,569 - mmdet - INFO - Epoch [5][3400/7330] lr: 1.000e-04, eta: 13:39:23, time: 0.853, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0444, loss_cls: 0.1848, acc: 93.2192, loss_bbox: 0.2400, loss_mask: 0.2482, loss: 0.7359 2024-06-02 06:45:43,183 - mmdet - INFO - Epoch [5][3450/7330] lr: 1.000e-04, eta: 13:38:47, time: 0.992, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0463, loss_cls: 0.1926, acc: 93.0198, loss_bbox: 0.2441, loss_mask: 0.2420, loss: 0.7440 2024-06-02 06:46:26,397 - mmdet - INFO - Epoch [5][3500/7330] lr: 1.000e-04, eta: 13:38:00, time: 0.864, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0429, loss_cls: 0.1904, acc: 93.1201, loss_bbox: 0.2391, loss_mask: 0.2391, loss: 0.7291 2024-06-02 06:47:12,619 - mmdet - INFO - Epoch [5][3550/7330] lr: 1.000e-04, eta: 13:37:19, time: 0.924, data_time: 0.075, memory: 18040, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0491, loss_cls: 0.2008, acc: 92.6909, loss_bbox: 0.2486, loss_mask: 0.2476, loss: 0.7678 2024-06-02 06:47:58,305 - mmdet - INFO - Epoch [5][3600/7330] lr: 1.000e-04, eta: 13:36:36, time: 0.914, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0491, loss_cls: 0.2121, acc: 92.3083, loss_bbox: 0.2676, loss_mask: 0.2512, loss: 0.8036 2024-06-02 06:48:40,861 - mmdet - INFO - Epoch [5][3650/7330] lr: 1.000e-04, eta: 13:35:48, time: 0.851, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0439, loss_cls: 0.1900, acc: 93.1465, loss_bbox: 0.2392, loss_mask: 0.2376, loss: 0.7304 2024-06-02 06:49:23,570 - mmdet - INFO - Epoch [5][3700/7330] lr: 1.000e-04, eta: 13:35:01, time: 0.854, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0462, loss_cls: 0.1949, acc: 92.8352, loss_bbox: 0.2478, loss_mask: 0.2444, loss: 0.7529 2024-06-02 06:50:09,410 - mmdet - INFO - Epoch [5][3750/7330] lr: 1.000e-04, eta: 13:34:18, time: 0.917, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0465, loss_cls: 0.1921, acc: 93.0764, loss_bbox: 0.2431, loss_mask: 0.2421, loss: 0.7445 2024-06-02 06:50:52,160 - mmdet - INFO - Epoch [5][3800/7330] lr: 1.000e-04, eta: 13:33:31, time: 0.855, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0476, loss_cls: 0.1989, acc: 92.8074, loss_bbox: 0.2535, loss_mask: 0.2431, loss: 0.7629 2024-06-02 06:51:38,130 - mmdet - INFO - Epoch [5][3850/7330] lr: 1.000e-04, eta: 13:32:49, time: 0.919, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0478, loss_cls: 0.1976, acc: 92.7693, loss_bbox: 0.2506, loss_mask: 0.2478, loss: 0.7655 2024-06-02 06:52:23,316 - mmdet - INFO - Epoch [5][3900/7330] lr: 1.000e-04, eta: 13:32:06, time: 0.904, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0424, loss_cls: 0.1907, acc: 92.9631, loss_bbox: 0.2432, loss_mask: 0.2454, loss: 0.7404 2024-06-02 06:53:08,466 - mmdet - INFO - Epoch [5][3950/7330] lr: 1.000e-04, eta: 13:31:22, time: 0.903, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0465, loss_cls: 0.1963, acc: 92.8848, loss_bbox: 0.2467, loss_mask: 0.2459, loss: 0.7555 2024-06-02 06:53:54,075 - mmdet - INFO - Epoch [5][4000/7330] lr: 1.000e-04, eta: 13:30:39, time: 0.912, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0484, loss_cls: 0.1948, acc: 92.8992, loss_bbox: 0.2502, loss_mask: 0.2504, loss: 0.7639 2024-06-02 06:54:37,408 - mmdet - INFO - Epoch [5][4050/7330] lr: 1.000e-04, eta: 13:29:53, time: 0.867, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0458, loss_cls: 0.2032, acc: 92.7261, loss_bbox: 0.2492, loss_mask: 0.2450, loss: 0.7630 2024-06-02 06:55:22,725 - mmdet - INFO - Epoch [5][4100/7330] lr: 1.000e-04, eta: 13:29:10, time: 0.906, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0462, loss_cls: 0.1939, acc: 92.9121, loss_bbox: 0.2454, loss_mask: 0.2426, loss: 0.7463 2024-06-02 06:56:08,057 - mmdet - INFO - Epoch [5][4150/7330] lr: 1.000e-04, eta: 13:28:27, time: 0.907, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0476, loss_cls: 0.1941, acc: 92.9175, loss_bbox: 0.2486, loss_mask: 0.2463, loss: 0.7574 2024-06-02 06:56:50,656 - mmdet - INFO - Epoch [5][4200/7330] lr: 1.000e-04, eta: 13:27:39, time: 0.852, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0459, loss_cls: 0.1845, acc: 93.2610, loss_bbox: 0.2363, loss_mask: 0.2437, loss: 0.7299 2024-06-02 06:57:37,790 - mmdet - INFO - Epoch [5][4250/7330] lr: 1.000e-04, eta: 13:26:59, time: 0.943, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0443, loss_cls: 0.1815, acc: 93.4138, loss_bbox: 0.2339, loss_mask: 0.2399, loss: 0.7165 2024-06-02 06:58:20,648 - mmdet - INFO - Epoch [5][4300/7330] lr: 1.000e-04, eta: 13:26:12, time: 0.857, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0464, loss_cls: 0.1860, acc: 93.2322, loss_bbox: 0.2369, loss_mask: 0.2359, loss: 0.7250 2024-06-02 06:59:03,601 - mmdet - INFO - Epoch [5][4350/7330] lr: 1.000e-04, eta: 13:25:25, time: 0.859, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0460, loss_cls: 0.2045, acc: 92.6455, loss_bbox: 0.2522, loss_mask: 0.2458, loss: 0.7688 2024-06-02 06:59:49,108 - mmdet - INFO - Epoch [5][4400/7330] lr: 1.000e-04, eta: 13:24:42, time: 0.910, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0429, loss_cls: 0.1947, acc: 92.7634, loss_bbox: 0.2424, loss_mask: 0.2406, loss: 0.7404 2024-06-02 07:00:31,696 - mmdet - INFO - Epoch [5][4450/7330] lr: 1.000e-04, eta: 13:23:54, time: 0.851, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0441, loss_cls: 0.1906, acc: 93.0156, loss_bbox: 0.2455, loss_mask: 0.2458, loss: 0.7453 2024-06-02 07:01:14,935 - mmdet - INFO - Epoch [5][4500/7330] lr: 1.000e-04, eta: 13:23:08, time: 0.865, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0475, loss_cls: 0.1952, acc: 92.9268, loss_bbox: 0.2434, loss_mask: 0.2380, loss: 0.7442 2024-06-02 07:02:00,568 - mmdet - INFO - Epoch [5][4550/7330] lr: 1.000e-04, eta: 13:22:25, time: 0.913, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0475, loss_cls: 0.1961, acc: 92.9131, loss_bbox: 0.2476, loss_mask: 0.2483, loss: 0.7606 2024-06-02 07:02:47,878 - mmdet - INFO - Epoch [5][4600/7330] lr: 1.000e-04, eta: 13:21:45, time: 0.946, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0454, loss_cls: 0.1847, acc: 93.2510, loss_bbox: 0.2334, loss_mask: 0.2400, loss: 0.7245 2024-06-02 07:03:31,045 - mmdet - INFO - Epoch [5][4650/7330] lr: 1.000e-04, eta: 13:20:58, time: 0.863, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0439, loss_cls: 0.1916, acc: 93.0115, loss_bbox: 0.2364, loss_mask: 0.2400, loss: 0.7312 2024-06-02 07:04:16,257 - mmdet - INFO - Epoch [5][4700/7330] lr: 1.000e-04, eta: 13:20:15, time: 0.904, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0458, loss_cls: 0.1986, acc: 92.6890, loss_bbox: 0.2501, loss_mask: 0.2466, loss: 0.7611 2024-06-02 07:05:01,377 - mmdet - INFO - Epoch [5][4750/7330] lr: 1.000e-04, eta: 13:19:31, time: 0.902, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0443, loss_cls: 0.1924, acc: 93.0750, loss_bbox: 0.2383, loss_mask: 0.2455, loss: 0.7394 2024-06-02 07:05:44,873 - mmdet - INFO - Epoch [5][4800/7330] lr: 1.000e-04, eta: 13:18:45, time: 0.870, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0444, loss_cls: 0.1845, acc: 93.3115, loss_bbox: 0.2370, loss_mask: 0.2379, loss: 0.7218 2024-06-02 07:06:30,617 - mmdet - INFO - Epoch [5][4850/7330] lr: 1.000e-04, eta: 13:18:03, time: 0.915, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0473, loss_cls: 0.1963, acc: 92.9438, loss_bbox: 0.2464, loss_mask: 0.2422, loss: 0.7540 2024-06-02 07:07:18,166 - mmdet - INFO - Epoch [5][4900/7330] lr: 1.000e-04, eta: 13:17:23, time: 0.951, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0504, loss_cls: 0.1978, acc: 92.7354, loss_bbox: 0.2506, loss_mask: 0.2470, loss: 0.7660 2024-06-02 07:08:01,436 - mmdet - INFO - Epoch [5][4950/7330] lr: 1.000e-04, eta: 13:16:36, time: 0.865, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0443, loss_cls: 0.1840, acc: 93.3237, loss_bbox: 0.2381, loss_mask: 0.2381, loss: 0.7242 2024-06-02 07:08:43,915 - mmdet - INFO - Epoch [5][5000/7330] lr: 1.000e-04, eta: 13:15:49, time: 0.850, data_time: 0.067, memory: 18040, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0452, loss_cls: 0.1949, acc: 92.9321, loss_bbox: 0.2441, loss_mask: 0.2462, loss: 0.7519 2024-06-02 07:09:27,005 - mmdet - INFO - Epoch [5][5050/7330] lr: 1.000e-04, eta: 13:15:02, time: 0.862, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0457, loss_cls: 0.1980, acc: 92.8433, loss_bbox: 0.2492, loss_mask: 0.2430, loss: 0.7565 2024-06-02 07:10:11,816 - mmdet - INFO - Epoch [5][5100/7330] lr: 1.000e-04, eta: 13:14:18, time: 0.896, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0452, loss_cls: 0.1987, acc: 92.8433, loss_bbox: 0.2428, loss_mask: 0.2427, loss: 0.7493 2024-06-02 07:10:56,855 - mmdet - INFO - Epoch [5][5150/7330] lr: 1.000e-04, eta: 13:13:34, time: 0.901, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0462, loss_cls: 0.1971, acc: 92.8611, loss_bbox: 0.2419, loss_mask: 0.2432, loss: 0.7478 2024-06-02 07:11:42,786 - mmdet - INFO - Epoch [5][5200/7330] lr: 1.000e-04, eta: 13:12:52, time: 0.919, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0454, loss_cls: 0.1894, acc: 93.1033, loss_bbox: 0.2394, loss_mask: 0.2391, loss: 0.7338 2024-06-02 07:12:25,900 - mmdet - INFO - Epoch [5][5250/7330] lr: 1.000e-04, eta: 13:12:05, time: 0.862, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0434, loss_cls: 0.1914, acc: 92.9478, loss_bbox: 0.2458, loss_mask: 0.2418, loss: 0.7398 2024-06-02 07:13:11,767 - mmdet - INFO - Epoch [5][5300/7330] lr: 1.000e-04, eta: 13:11:23, time: 0.917, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0471, loss_cls: 0.1978, acc: 92.8022, loss_bbox: 0.2460, loss_mask: 0.2440, loss: 0.7561 2024-06-02 07:13:55,759 - mmdet - INFO - Epoch [5][5350/7330] lr: 1.000e-04, eta: 13:10:38, time: 0.880, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0483, loss_cls: 0.2012, acc: 92.5686, loss_bbox: 0.2529, loss_mask: 0.2469, loss: 0.7704 2024-06-02 07:14:43,703 - mmdet - INFO - Epoch [5][5400/7330] lr: 1.000e-04, eta: 13:09:58, time: 0.959, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0438, loss_cls: 0.1873, acc: 93.1433, loss_bbox: 0.2370, loss_mask: 0.2395, loss: 0.7268 2024-06-02 07:15:27,487 - mmdet - INFO - Epoch [5][5450/7330] lr: 1.000e-04, eta: 13:09:13, time: 0.876, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0491, loss_cls: 0.1995, acc: 92.7288, loss_bbox: 0.2502, loss_mask: 0.2443, loss: 0.7630 2024-06-02 07:16:12,809 - mmdet - INFO - Epoch [5][5500/7330] lr: 1.000e-04, eta: 13:08:29, time: 0.906, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0496, loss_cls: 0.1905, acc: 92.9915, loss_bbox: 0.2433, loss_mask: 0.2450, loss: 0.7485 2024-06-02 07:16:58,269 - mmdet - INFO - Epoch [5][5550/7330] lr: 1.000e-04, eta: 13:07:46, time: 0.909, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0468, loss_cls: 0.1938, acc: 93.0139, loss_bbox: 0.2455, loss_mask: 0.2433, loss: 0.7522 2024-06-02 07:17:41,484 - mmdet - INFO - Epoch [5][5600/7330] lr: 1.000e-04, eta: 13:07:00, time: 0.864, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0467, loss_cls: 0.1941, acc: 92.7710, loss_bbox: 0.2450, loss_mask: 0.2474, loss: 0.7532 2024-06-02 07:18:26,783 - mmdet - INFO - Epoch [5][5650/7330] lr: 1.000e-04, eta: 13:06:17, time: 0.906, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0483, loss_cls: 0.1973, acc: 92.7661, loss_bbox: 0.2537, loss_mask: 0.2486, loss: 0.7679 2024-06-02 07:19:10,052 - mmdet - INFO - Epoch [5][5700/7330] lr: 1.000e-04, eta: 13:05:30, time: 0.865, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0440, loss_cls: 0.1926, acc: 92.9482, loss_bbox: 0.2423, loss_mask: 0.2441, loss: 0.7420 2024-06-02 07:19:55,613 - mmdet - INFO - Epoch [5][5750/7330] lr: 1.000e-04, eta: 13:04:47, time: 0.911, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0457, loss_cls: 0.1920, acc: 93.0825, loss_bbox: 0.2408, loss_mask: 0.2441, loss: 0.7448 2024-06-02 07:20:38,537 - mmdet - INFO - Epoch [5][5800/7330] lr: 1.000e-04, eta: 13:04:00, time: 0.859, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0443, loss_cls: 0.1914, acc: 93.0681, loss_bbox: 0.2408, loss_mask: 0.2369, loss: 0.7326 2024-06-02 07:21:24,772 - mmdet - INFO - Epoch [5][5850/7330] lr: 1.000e-04, eta: 13:03:18, time: 0.925, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0465, loss_cls: 0.1941, acc: 92.8853, loss_bbox: 0.2454, loss_mask: 0.2425, loss: 0.7496 2024-06-02 07:22:07,753 - mmdet - INFO - Epoch [5][5900/7330] lr: 1.000e-04, eta: 13:02:32, time: 0.859, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0453, loss_cls: 0.1942, acc: 92.9043, loss_bbox: 0.2434, loss_mask: 0.2370, loss: 0.7391 2024-06-02 07:22:53,582 - mmdet - INFO - Epoch [5][5950/7330] lr: 1.000e-04, eta: 13:01:49, time: 0.917, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0466, loss_cls: 0.1939, acc: 92.9321, loss_bbox: 0.2397, loss_mask: 0.2394, loss: 0.7400 2024-06-02 07:23:41,349 - mmdet - INFO - Epoch [5][6000/7330] lr: 1.000e-04, eta: 13:01:09, time: 0.955, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0427, loss_cls: 0.1817, acc: 93.4446, loss_bbox: 0.2334, loss_mask: 0.2375, loss: 0.7151 2024-06-02 07:24:26,782 - mmdet - INFO - Epoch [5][6050/7330] lr: 1.000e-04, eta: 13:00:26, time: 0.909, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0453, loss_cls: 0.2037, acc: 92.6599, loss_bbox: 0.2484, loss_mask: 0.2441, loss: 0.7612 2024-06-02 07:25:10,472 - mmdet - INFO - Epoch [5][6100/7330] lr: 1.000e-04, eta: 12:59:40, time: 0.874, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0437, loss_cls: 0.1941, acc: 92.8518, loss_bbox: 0.2414, loss_mask: 0.2476, loss: 0.7490 2024-06-02 07:25:57,387 - mmdet - INFO - Epoch [5][6150/7330] lr: 1.000e-04, eta: 12:58:59, time: 0.938, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0451, loss_cls: 0.1883, acc: 93.0659, loss_bbox: 0.2404, loss_mask: 0.2403, loss: 0.7337 2024-06-02 07:26:39,699 - mmdet - INFO - Epoch [5][6200/7330] lr: 1.000e-04, eta: 12:58:12, time: 0.846, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0422, loss_cls: 0.1838, acc: 93.2922, loss_bbox: 0.2290, loss_mask: 0.2326, loss: 0.7063 2024-06-02 07:27:23,283 - mmdet - INFO - Epoch [5][6250/7330] lr: 1.000e-04, eta: 12:57:26, time: 0.872, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0493, loss_cls: 0.1953, acc: 92.9565, loss_bbox: 0.2460, loss_mask: 0.2439, loss: 0.7561 2024-06-02 07:28:08,611 - mmdet - INFO - Epoch [5][6300/7330] lr: 1.000e-04, eta: 12:56:42, time: 0.906, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0448, loss_cls: 0.1853, acc: 93.2019, loss_bbox: 0.2343, loss_mask: 0.2390, loss: 0.7237 2024-06-02 07:28:52,014 - mmdet - INFO - Epoch [5][6350/7330] lr: 1.000e-04, eta: 12:55:56, time: 0.868, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0461, loss_cls: 0.1969, acc: 92.8606, loss_bbox: 0.2512, loss_mask: 0.2433, loss: 0.7586 2024-06-02 07:29:35,432 - mmdet - INFO - Epoch [5][6400/7330] lr: 1.000e-04, eta: 12:55:10, time: 0.868, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0451, loss_cls: 0.1891, acc: 93.0779, loss_bbox: 0.2442, loss_mask: 0.2428, loss: 0.7407 2024-06-02 07:30:20,574 - mmdet - INFO - Epoch [5][6450/7330] lr: 1.000e-04, eta: 12:54:27, time: 0.903, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0423, loss_cls: 0.1970, acc: 92.9148, loss_bbox: 0.2405, loss_mask: 0.2409, loss: 0.7398 2024-06-02 07:31:03,443 - mmdet - INFO - Epoch [5][6500/7330] lr: 1.000e-04, eta: 12:53:40, time: 0.857, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0451, loss_cls: 0.1871, acc: 93.1995, loss_bbox: 0.2314, loss_mask: 0.2385, loss: 0.7223 2024-06-02 07:31:49,412 - mmdet - INFO - Epoch [5][6550/7330] lr: 1.000e-04, eta: 12:52:57, time: 0.919, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0467, loss_cls: 0.1956, acc: 92.8809, loss_bbox: 0.2455, loss_mask: 0.2422, loss: 0.7496 2024-06-02 07:32:35,943 - mmdet - INFO - Epoch [5][6600/7330] lr: 1.000e-04, eta: 12:52:16, time: 0.931, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0495, loss_cls: 0.1978, acc: 92.7468, loss_bbox: 0.2527, loss_mask: 0.2479, loss: 0.7700 2024-06-02 07:33:18,630 - mmdet - INFO - Epoch [5][6650/7330] lr: 1.000e-04, eta: 12:51:28, time: 0.854, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0435, loss_cls: 0.1810, acc: 93.3657, loss_bbox: 0.2301, loss_mask: 0.2363, loss: 0.7099 2024-06-02 07:34:04,343 - mmdet - INFO - Epoch [5][6700/7330] lr: 1.000e-04, eta: 12:50:46, time: 0.914, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0469, loss_cls: 0.1946, acc: 92.7700, loss_bbox: 0.2487, loss_mask: 0.2421, loss: 0.7519 2024-06-02 07:34:49,895 - mmdet - INFO - Epoch [5][6750/7330] lr: 1.000e-04, eta: 12:50:03, time: 0.911, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0472, loss_cls: 0.1960, acc: 92.9587, loss_bbox: 0.2423, loss_mask: 0.2408, loss: 0.7456 2024-06-02 07:35:34,771 - mmdet - INFO - Epoch [5][6800/7330] lr: 1.000e-04, eta: 12:49:19, time: 0.898, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0453, loss_cls: 0.1942, acc: 92.9377, loss_bbox: 0.2477, loss_mask: 0.2459, loss: 0.7526 2024-06-02 07:36:17,718 - mmdet - INFO - Epoch [5][6850/7330] lr: 1.000e-04, eta: 12:48:32, time: 0.859, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0474, loss_cls: 0.2028, acc: 92.5615, loss_bbox: 0.2530, loss_mask: 0.2478, loss: 0.7702 2024-06-02 07:37:02,544 - mmdet - INFO - Epoch [5][6900/7330] lr: 1.000e-04, eta: 12:47:48, time: 0.897, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0437, loss_cls: 0.1880, acc: 93.2419, loss_bbox: 0.2357, loss_mask: 0.2369, loss: 0.7262 2024-06-02 07:37:45,775 - mmdet - INFO - Epoch [5][6950/7330] lr: 1.000e-04, eta: 12:47:01, time: 0.865, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0453, loss_cls: 0.1926, acc: 92.9531, loss_bbox: 0.2477, loss_mask: 0.2446, loss: 0.7490 2024-06-02 07:38:28,455 - mmdet - INFO - Epoch [5][7000/7330] lr: 1.000e-04, eta: 12:46:14, time: 0.854, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0455, loss_cls: 0.1935, acc: 92.9690, loss_bbox: 0.2409, loss_mask: 0.2423, loss: 0.7420 2024-06-02 07:39:11,956 - mmdet - INFO - Epoch [5][7050/7330] lr: 1.000e-04, eta: 12:45:28, time: 0.870, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0454, loss_cls: 0.1938, acc: 93.0085, loss_bbox: 0.2505, loss_mask: 0.2411, loss: 0.7514 2024-06-02 07:39:57,495 - mmdet - INFO - Epoch [5][7100/7330] lr: 1.000e-04, eta: 12:44:45, time: 0.911, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0451, loss_cls: 0.1880, acc: 93.2341, loss_bbox: 0.2393, loss_mask: 0.2344, loss: 0.7265 2024-06-02 07:40:45,624 - mmdet - INFO - Epoch [5][7150/7330] lr: 1.000e-04, eta: 12:44:06, time: 0.963, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0502, loss_cls: 0.1986, acc: 92.8313, loss_bbox: 0.2474, loss_mask: 0.2454, loss: 0.7652 2024-06-02 07:41:28,121 - mmdet - INFO - Epoch [5][7200/7330] lr: 1.000e-04, eta: 12:43:18, time: 0.850, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0429, loss_cls: 0.1786, acc: 93.5640, loss_bbox: 0.2277, loss_mask: 0.2368, loss: 0.7032 2024-06-02 07:42:14,238 - mmdet - INFO - Epoch [5][7250/7330] lr: 1.000e-04, eta: 12:42:36, time: 0.922, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0487, loss_cls: 0.1925, acc: 93.0281, loss_bbox: 0.2415, loss_mask: 0.2407, loss: 0.7450 2024-06-02 07:43:00,001 - mmdet - INFO - Epoch [5][7300/7330] lr: 1.000e-04, eta: 12:41:53, time: 0.915, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0460, loss_cls: 0.1952, acc: 92.9460, loss_bbox: 0.2486, loss_mask: 0.2458, loss: 0.7570 2024-06-02 07:43:27,001 - mmdet - INFO - Saving checkpoint at 5 epochs 2024-06-02 07:45:34,860 - mmdet - INFO - Evaluating bbox... 2024-06-02 07:46:03,393 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.436 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.678 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.477 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.271 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.468 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.604 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.561 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.561 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.561 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.374 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.599 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.729 2024-06-02 07:46:03,394 - mmdet - INFO - Evaluating segm... 2024-06-02 07:46:29,930 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.400 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.645 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.424 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.189 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.433 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.624 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.517 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.517 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.517 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.310 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.561 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.711 2024-06-02 07:46:30,347 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 07:46:30,349 - mmdet - INFO - Epoch(val) [5][625] bbox_mAP: 0.4360, bbox_mAP_50: 0.6780, bbox_mAP_75: 0.4770, bbox_mAP_s: 0.2710, bbox_mAP_m: 0.4680, bbox_mAP_l: 0.6040, bbox_mAP_copypaste: 0.436 0.678 0.477 0.271 0.468 0.604, segm_mAP: 0.4000, segm_mAP_50: 0.6450, segm_mAP_75: 0.4240, segm_mAP_s: 0.1890, segm_mAP_m: 0.4330, segm_mAP_l: 0.6240, segm_mAP_copypaste: 0.400 0.645 0.424 0.189 0.433 0.624 2024-06-02 07:47:17,530 - mmdet - INFO - Epoch [6][50/7330] lr: 1.000e-04, eta: 12:40:09, time: 0.943, data_time: 0.118, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0440, loss_cls: 0.1844, acc: 93.2498, loss_bbox: 0.2368, loss_mask: 0.2340, loss: 0.7179 2024-06-02 07:48:03,536 - mmdet - INFO - Epoch [6][100/7330] lr: 1.000e-04, eta: 12:39:26, time: 0.920, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0445, loss_cls: 0.1812, acc: 93.3396, loss_bbox: 0.2340, loss_mask: 0.2358, loss: 0.7146 2024-06-02 07:48:46,851 - mmdet - INFO - Epoch [6][150/7330] lr: 1.000e-04, eta: 12:38:40, time: 0.866, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0434, loss_cls: 0.1802, acc: 93.3562, loss_bbox: 0.2345, loss_mask: 0.2338, loss: 0.7078 2024-06-02 07:49:29,952 - mmdet - INFO - Epoch [6][200/7330] lr: 1.000e-04, eta: 12:37:54, time: 0.862, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0441, loss_cls: 0.1824, acc: 93.3376, loss_bbox: 0.2385, loss_mask: 0.2361, loss: 0.7181 2024-06-02 07:50:12,768 - mmdet - INFO - Epoch [6][250/7330] lr: 1.000e-04, eta: 12:37:07, time: 0.856, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0430, loss_cls: 0.1792, acc: 93.3420, loss_bbox: 0.2342, loss_mask: 0.2373, loss: 0.7115 2024-06-02 07:50:56,536 - mmdet - INFO - Epoch [6][300/7330] lr: 1.000e-04, eta: 12:36:21, time: 0.875, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0451, loss_cls: 0.1861, acc: 93.2478, loss_bbox: 0.2364, loss_mask: 0.2378, loss: 0.7256 2024-06-02 07:51:43,027 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 07:51:43,027 - mmdet - INFO - Epoch [6][350/7330] lr: 1.000e-04, eta: 12:35:40, time: 0.930, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0472, loss_cls: 0.1919, acc: 92.8462, loss_bbox: 0.2431, loss_mask: 0.2379, loss: 0.7392 2024-06-02 07:52:29,508 - mmdet - INFO - Epoch [6][400/7330] lr: 1.000e-04, eta: 12:34:58, time: 0.930, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0463, loss_cls: 0.1849, acc: 93.1860, loss_bbox: 0.2422, loss_mask: 0.2396, loss: 0.7327 2024-06-02 07:53:12,872 - mmdet - INFO - Epoch [6][450/7330] lr: 1.000e-04, eta: 12:34:12, time: 0.867, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0425, loss_cls: 0.1853, acc: 93.1694, loss_bbox: 0.2355, loss_mask: 0.2378, loss: 0.7173 2024-06-02 07:54:00,987 - mmdet - INFO - Epoch [6][500/7330] lr: 1.000e-04, eta: 12:33:32, time: 0.962, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0437, loss_cls: 0.1804, acc: 93.4551, loss_bbox: 0.2345, loss_mask: 0.2383, loss: 0.7151 2024-06-02 07:54:44,183 - mmdet - INFO - Epoch [6][550/7330] lr: 1.000e-04, eta: 12:32:46, time: 0.864, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0455, loss_cls: 0.1803, acc: 93.3125, loss_bbox: 0.2307, loss_mask: 0.2363, loss: 0.7111 2024-06-02 07:55:26,737 - mmdet - INFO - Epoch [6][600/7330] lr: 1.000e-04, eta: 12:31:59, time: 0.851, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0437, loss_cls: 0.1773, acc: 93.5974, loss_bbox: 0.2262, loss_mask: 0.2327, loss: 0.6962 2024-06-02 07:56:12,694 - mmdet - INFO - Epoch [6][650/7330] lr: 1.000e-04, eta: 12:31:16, time: 0.919, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0481, loss_cls: 0.2003, acc: 92.5925, loss_bbox: 0.2578, loss_mask: 0.2448, loss: 0.7698 2024-06-02 07:56:57,912 - mmdet - INFO - Epoch [6][700/7330] lr: 1.000e-04, eta: 12:30:33, time: 0.904, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0473, loss_cls: 0.1866, acc: 93.1304, loss_bbox: 0.2399, loss_mask: 0.2410, loss: 0.7337 2024-06-02 07:57:45,481 - mmdet - INFO - Epoch [6][750/7330] lr: 1.000e-04, eta: 12:29:53, time: 0.951, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0453, loss_cls: 0.1851, acc: 93.2336, loss_bbox: 0.2363, loss_mask: 0.2334, loss: 0.7172 2024-06-02 07:58:28,509 - mmdet - INFO - Epoch [6][800/7330] lr: 1.000e-04, eta: 12:29:06, time: 0.861, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0446, loss_cls: 0.1868, acc: 93.1980, loss_bbox: 0.2397, loss_mask: 0.2388, loss: 0.7269 2024-06-02 07:59:13,656 - mmdet - INFO - Epoch [6][850/7330] lr: 1.000e-04, eta: 12:28:23, time: 0.903, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0440, loss_cls: 0.1836, acc: 93.2595, loss_bbox: 0.2311, loss_mask: 0.2327, loss: 0.7087 2024-06-02 07:59:57,657 - mmdet - INFO - Epoch [6][900/7330] lr: 1.000e-04, eta: 12:27:37, time: 0.880, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0440, loss_cls: 0.1799, acc: 93.2488, loss_bbox: 0.2344, loss_mask: 0.2347, loss: 0.7095 2024-06-02 08:00:41,351 - mmdet - INFO - Epoch [6][950/7330] lr: 1.000e-04, eta: 12:26:52, time: 0.874, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0438, loss_cls: 0.1838, acc: 93.1855, loss_bbox: 0.2395, loss_mask: 0.2401, loss: 0.7266 2024-06-02 08:01:27,203 - mmdet - INFO - Epoch [6][1000/7330] lr: 1.000e-04, eta: 12:26:09, time: 0.917, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0462, loss_cls: 0.1886, acc: 93.0032, loss_bbox: 0.2455, loss_mask: 0.2379, loss: 0.7375 2024-06-02 08:02:12,606 - mmdet - INFO - Epoch [6][1050/7330] lr: 1.000e-04, eta: 12:25:26, time: 0.908, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0461, loss_cls: 0.1843, acc: 93.2405, loss_bbox: 0.2337, loss_mask: 0.2409, loss: 0.7219 2024-06-02 08:02:57,625 - mmdet - INFO - Epoch [6][1100/7330] lr: 1.000e-04, eta: 12:24:42, time: 0.900, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0451, loss_cls: 0.1833, acc: 93.2429, loss_bbox: 0.2348, loss_mask: 0.2359, loss: 0.7184 2024-06-02 08:03:41,722 - mmdet - INFO - Epoch [6][1150/7330] lr: 1.000e-04, eta: 12:23:57, time: 0.882, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0441, loss_cls: 0.1839, acc: 93.2773, loss_bbox: 0.2343, loss_mask: 0.2415, loss: 0.7217 2024-06-02 08:04:25,426 - mmdet - INFO - Epoch [6][1200/7330] lr: 1.000e-04, eta: 12:23:11, time: 0.874, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0434, loss_cls: 0.1822, acc: 93.2898, loss_bbox: 0.2334, loss_mask: 0.2308, loss: 0.7091 2024-06-02 08:05:19,230 - mmdet - INFO - Epoch [6][1250/7330] lr: 1.000e-04, eta: 12:22:39, time: 1.076, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0464, loss_cls: 0.1896, acc: 93.0637, loss_bbox: 0.2372, loss_mask: 0.2408, loss: 0.7320 2024-06-02 08:06:03,596 - mmdet - INFO - Epoch [6][1300/7330] lr: 1.000e-04, eta: 12:21:55, time: 0.887, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0456, loss_cls: 0.1887, acc: 93.1731, loss_bbox: 0.2421, loss_mask: 0.2375, loss: 0.7327 2024-06-02 08:06:47,219 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 08:06:47,219 - mmdet - INFO - Epoch [6][1350/7330] lr: 1.000e-04, eta: 12:21:09, time: 0.872, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0449, loss_cls: 0.1826, acc: 93.2515, loss_bbox: 0.2289, loss_mask: 0.2363, loss: 0.7119 2024-06-02 08:07:30,477 - mmdet - INFO - Epoch [6][1400/7330] lr: 1.000e-04, eta: 12:20:23, time: 0.865, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0451, loss_cls: 0.1886, acc: 93.0398, loss_bbox: 0.2446, loss_mask: 0.2386, loss: 0.7348 2024-06-02 08:08:13,659 - mmdet - INFO - Epoch [6][1450/7330] lr: 1.000e-04, eta: 12:19:37, time: 0.864, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0428, loss_cls: 0.1818, acc: 93.2209, loss_bbox: 0.2324, loss_mask: 0.2407, loss: 0.7148 2024-06-02 08:08:59,526 - mmdet - INFO - Epoch [6][1500/7330] lr: 1.000e-04, eta: 12:18:54, time: 0.917, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0450, loss_cls: 0.1835, acc: 93.3713, loss_bbox: 0.2320, loss_mask: 0.2371, loss: 0.7160 2024-06-02 08:09:44,056 - mmdet - INFO - Epoch [6][1550/7330] lr: 1.000e-04, eta: 12:18:09, time: 0.891, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0475, loss_cls: 0.1923, acc: 92.8982, loss_bbox: 0.2434, loss_mask: 0.2370, loss: 0.7403 2024-06-02 08:10:27,972 - mmdet - INFO - Epoch [6][1600/7330] lr: 1.000e-04, eta: 12:17:24, time: 0.878, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0447, loss_cls: 0.1901, acc: 92.9897, loss_bbox: 0.2394, loss_mask: 0.2393, loss: 0.7331 2024-06-02 08:11:19,398 - mmdet - INFO - Epoch [6][1650/7330] lr: 1.000e-04, eta: 12:16:49, time: 1.029, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0476, loss_cls: 0.1921, acc: 93.0408, loss_bbox: 0.2415, loss_mask: 0.2398, loss: 0.7397 2024-06-02 08:12:02,664 - mmdet - INFO - Epoch [6][1700/7330] lr: 1.000e-04, eta: 12:16:02, time: 0.865, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0445, loss_cls: 0.1832, acc: 93.3328, loss_bbox: 0.2341, loss_mask: 0.2376, loss: 0.7172 2024-06-02 08:12:50,838 - mmdet - INFO - Epoch [6][1750/7330] lr: 1.000e-04, eta: 12:15:23, time: 0.963, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0435, loss_cls: 0.1814, acc: 93.2424, loss_bbox: 0.2367, loss_mask: 0.2314, loss: 0.7102 2024-06-02 08:13:39,348 - mmdet - INFO - Epoch [6][1800/7330] lr: 1.000e-04, eta: 12:14:43, time: 0.970, data_time: 0.066, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0461, loss_cls: 0.1826, acc: 93.2786, loss_bbox: 0.2355, loss_mask: 0.2362, loss: 0.7186 2024-06-02 08:14:25,767 - mmdet - INFO - Epoch [6][1850/7330] lr: 1.000e-04, eta: 12:14:01, time: 0.928, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0446, loss_cls: 0.1837, acc: 93.3071, loss_bbox: 0.2336, loss_mask: 0.2258, loss: 0.7058 2024-06-02 08:15:09,226 - mmdet - INFO - Epoch [6][1900/7330] lr: 1.000e-04, eta: 12:13:15, time: 0.869, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0438, loss_cls: 0.1849, acc: 93.1414, loss_bbox: 0.2390, loss_mask: 0.2371, loss: 0.7231 2024-06-02 08:15:52,836 - mmdet - INFO - Epoch [6][1950/7330] lr: 1.000e-04, eta: 12:12:30, time: 0.872, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0455, loss_cls: 0.1803, acc: 93.2830, loss_bbox: 0.2346, loss_mask: 0.2336, loss: 0.7106 2024-06-02 08:16:35,925 - mmdet - INFO - Epoch [6][2000/7330] lr: 1.000e-04, eta: 12:11:43, time: 0.862, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0443, loss_cls: 0.1873, acc: 93.1777, loss_bbox: 0.2359, loss_mask: 0.2386, loss: 0.7224 2024-06-02 08:17:20,404 - mmdet - INFO - Epoch [6][2050/7330] lr: 1.000e-04, eta: 12:10:59, time: 0.890, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0463, loss_cls: 0.1901, acc: 93.0127, loss_bbox: 0.2420, loss_mask: 0.2405, loss: 0.7396 2024-06-02 08:18:06,568 - mmdet - INFO - Epoch [6][2100/7330] lr: 1.000e-04, eta: 12:10:16, time: 0.923, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0436, loss_cls: 0.1779, acc: 93.4084, loss_bbox: 0.2333, loss_mask: 0.2338, loss: 0.7052 2024-06-02 08:18:52,614 - mmdet - INFO - Epoch [6][2150/7330] lr: 1.000e-04, eta: 12:09:34, time: 0.921, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0458, loss_cls: 0.1836, acc: 93.1765, loss_bbox: 0.2376, loss_mask: 0.2399, loss: 0.7257 2024-06-02 08:19:35,479 - mmdet - INFO - Epoch [6][2200/7330] lr: 1.000e-04, eta: 12:08:47, time: 0.857, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0463, loss_cls: 0.1803, acc: 93.4292, loss_bbox: 0.2322, loss_mask: 0.2334, loss: 0.7088 2024-06-02 08:20:23,711 - mmdet - INFO - Epoch [6][2250/7330] lr: 1.000e-04, eta: 12:08:07, time: 0.965, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0455, loss_cls: 0.1843, acc: 93.0925, loss_bbox: 0.2418, loss_mask: 0.2384, loss: 0.7279 2024-06-02 08:21:11,506 - mmdet - INFO - Epoch [6][2300/7330] lr: 1.000e-04, eta: 12:07:27, time: 0.956, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0432, loss_cls: 0.1823, acc: 93.2766, loss_bbox: 0.2292, loss_mask: 0.2374, loss: 0.7091 2024-06-02 08:21:54,654 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 08:21:54,654 - mmdet - INFO - Epoch [6][2350/7330] lr: 1.000e-04, eta: 12:06:41, time: 0.863, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0435, loss_cls: 0.1729, acc: 93.6499, loss_bbox: 0.2241, loss_mask: 0.2356, loss: 0.6939 2024-06-02 08:22:43,729 - mmdet - INFO - Epoch [6][2400/7330] lr: 1.000e-04, eta: 12:06:02, time: 0.982, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0454, loss_cls: 0.1813, acc: 93.3164, loss_bbox: 0.2327, loss_mask: 0.2360, loss: 0.7129 2024-06-02 08:23:27,394 - mmdet - INFO - Epoch [6][2450/7330] lr: 1.000e-04, eta: 12:05:16, time: 0.873, data_time: 0.069, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0454, loss_cls: 0.1854, acc: 93.1665, loss_bbox: 0.2398, loss_mask: 0.2366, loss: 0.7253 2024-06-02 08:24:11,259 - mmdet - INFO - Epoch [6][2500/7330] lr: 1.000e-04, eta: 12:04:31, time: 0.877, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0455, loss_cls: 0.1973, acc: 92.7522, loss_bbox: 0.2487, loss_mask: 0.2392, loss: 0.7482 2024-06-02 08:24:55,314 - mmdet - INFO - Epoch [6][2550/7330] lr: 1.000e-04, eta: 12:03:46, time: 0.881, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0455, loss_cls: 0.1865, acc: 93.1699, loss_bbox: 0.2372, loss_mask: 0.2363, loss: 0.7254 2024-06-02 08:25:38,486 - mmdet - INFO - Epoch [6][2600/7330] lr: 1.000e-04, eta: 12:02:59, time: 0.863, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0426, loss_cls: 0.1855, acc: 93.1423, loss_bbox: 0.2392, loss_mask: 0.2355, loss: 0.7209 2024-06-02 08:26:25,971 - mmdet - INFO - Epoch [6][2650/7330] lr: 1.000e-04, eta: 12:02:19, time: 0.950, data_time: 0.067, memory: 18040, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0482, loss_cls: 0.1857, acc: 93.1804, loss_bbox: 0.2417, loss_mask: 0.2463, loss: 0.7413 2024-06-02 08:27:11,621 - mmdet - INFO - Epoch [6][2700/7330] lr: 1.000e-04, eta: 12:01:35, time: 0.913, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0449, loss_cls: 0.1865, acc: 93.1084, loss_bbox: 0.2360, loss_mask: 0.2379, loss: 0.7243 2024-06-02 08:27:57,136 - mmdet - INFO - Epoch [6][2750/7330] lr: 1.000e-04, eta: 12:00:52, time: 0.910, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0419, loss_cls: 0.1798, acc: 93.4353, loss_bbox: 0.2274, loss_mask: 0.2306, loss: 0.6978 2024-06-02 08:28:40,383 - mmdet - INFO - Epoch [6][2800/7330] lr: 1.000e-04, eta: 12:00:06, time: 0.865, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0436, loss_cls: 0.1922, acc: 92.8943, loss_bbox: 0.2478, loss_mask: 0.2391, loss: 0.7419 2024-06-02 08:29:23,786 - mmdet - INFO - Epoch [6][2850/7330] lr: 1.000e-04, eta: 11:59:20, time: 0.868, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0454, loss_cls: 0.1862, acc: 93.0754, loss_bbox: 0.2419, loss_mask: 0.2379, loss: 0.7315 2024-06-02 08:30:13,299 - mmdet - INFO - Epoch [6][2900/7330] lr: 1.000e-04, eta: 11:58:42, time: 0.990, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0452, loss_cls: 0.1867, acc: 93.2002, loss_bbox: 0.2389, loss_mask: 0.2393, loss: 0.7277 2024-06-02 08:30:59,958 - mmdet - INFO - Epoch [6][2950/7330] lr: 1.000e-04, eta: 11:58:00, time: 0.933, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0455, loss_cls: 0.1893, acc: 93.0547, loss_bbox: 0.2385, loss_mask: 0.2471, loss: 0.7393 2024-06-02 08:31:46,030 - mmdet - INFO - Epoch [6][3000/7330] lr: 1.000e-04, eta: 11:57:17, time: 0.921, data_time: 0.069, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0413, loss_cls: 0.1734, acc: 93.6726, loss_bbox: 0.2250, loss_mask: 0.2325, loss: 0.6901 2024-06-02 08:32:31,925 - mmdet - INFO - Epoch [6][3050/7330] lr: 1.000e-04, eta: 11:56:34, time: 0.918, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0427, loss_cls: 0.1756, acc: 93.5601, loss_bbox: 0.2243, loss_mask: 0.2307, loss: 0.6907 2024-06-02 08:33:15,141 - mmdet - INFO - Epoch [6][3100/7330] lr: 1.000e-04, eta: 11:55:48, time: 0.864, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0432, loss_cls: 0.1815, acc: 93.3613, loss_bbox: 0.2343, loss_mask: 0.2341, loss: 0.7097 2024-06-02 08:34:01,655 - mmdet - INFO - Epoch [6][3150/7330] lr: 1.000e-04, eta: 11:55:06, time: 0.930, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0449, loss_cls: 0.1865, acc: 93.1350, loss_bbox: 0.2372, loss_mask: 0.2350, loss: 0.7214 2024-06-02 08:34:45,114 - mmdet - INFO - Epoch [6][3200/7330] lr: 1.000e-04, eta: 11:54:20, time: 0.869, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0455, loss_cls: 0.1899, acc: 92.9304, loss_bbox: 0.2449, loss_mask: 0.2407, loss: 0.7392 2024-06-02 08:35:27,848 - mmdet - INFO - Epoch [6][3250/7330] lr: 1.000e-04, eta: 11:53:33, time: 0.855, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0433, loss_cls: 0.1895, acc: 93.0681, loss_bbox: 0.2388, loss_mask: 0.2403, loss: 0.7301 2024-06-02 08:36:16,086 - mmdet - INFO - Epoch [6][3300/7330] lr: 1.000e-04, eta: 11:52:53, time: 0.965, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0436, loss_cls: 0.1907, acc: 93.0554, loss_bbox: 0.2393, loss_mask: 0.2401, loss: 0.7328 2024-06-02 08:36:59,138 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 08:36:59,138 - mmdet - INFO - Epoch [6][3350/7330] lr: 1.000e-04, eta: 11:52:07, time: 0.861, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0406, loss_cls: 0.1703, acc: 93.7249, loss_bbox: 0.2193, loss_mask: 0.2226, loss: 0.6696 2024-06-02 08:37:42,505 - mmdet - INFO - Epoch [6][3400/7330] lr: 1.000e-04, eta: 11:51:21, time: 0.867, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0433, loss_cls: 0.1794, acc: 93.4167, loss_bbox: 0.2297, loss_mask: 0.2367, loss: 0.7070 2024-06-02 08:38:25,533 - mmdet - INFO - Epoch [6][3450/7330] lr: 1.000e-04, eta: 11:50:34, time: 0.860, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0442, loss_cls: 0.1847, acc: 93.2598, loss_bbox: 0.2334, loss_mask: 0.2357, loss: 0.7161 2024-06-02 08:39:15,039 - mmdet - INFO - Epoch [6][3500/7330] lr: 1.000e-04, eta: 11:49:56, time: 0.990, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0423, loss_cls: 0.1895, acc: 93.0562, loss_bbox: 0.2379, loss_mask: 0.2404, loss: 0.7276 2024-06-02 08:40:05,330 - mmdet - INFO - Epoch [6][3550/7330] lr: 1.000e-04, eta: 11:49:18, time: 1.006, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0429, loss_cls: 0.1809, acc: 93.3669, loss_bbox: 0.2307, loss_mask: 0.2370, loss: 0.7096 2024-06-02 08:40:48,723 - mmdet - INFO - Epoch [6][3600/7330] lr: 1.000e-04, eta: 11:48:32, time: 0.868, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0458, loss_cls: 0.1890, acc: 92.9656, loss_bbox: 0.2429, loss_mask: 0.2421, loss: 0.7394 2024-06-02 08:41:34,511 - mmdet - INFO - Epoch [6][3650/7330] lr: 1.000e-04, eta: 11:47:49, time: 0.916, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0412, loss_cls: 0.1793, acc: 93.4080, loss_bbox: 0.2284, loss_mask: 0.2352, loss: 0.7013 2024-06-02 08:42:17,690 - mmdet - INFO - Epoch [6][3700/7330] lr: 1.000e-04, eta: 11:47:03, time: 0.864, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0424, loss_cls: 0.1814, acc: 93.1677, loss_bbox: 0.2322, loss_mask: 0.2322, loss: 0.7063 2024-06-02 08:43:01,171 - mmdet - INFO - Epoch [6][3750/7330] lr: 1.000e-04, eta: 11:46:17, time: 0.870, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0447, loss_cls: 0.1867, acc: 93.0630, loss_bbox: 0.2382, loss_mask: 0.2379, loss: 0.7260 2024-06-02 08:43:48,486 - mmdet - INFO - Epoch [6][3800/7330] lr: 1.000e-04, eta: 11:45:36, time: 0.946, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0446, loss_cls: 0.1818, acc: 93.3896, loss_bbox: 0.2360, loss_mask: 0.2361, loss: 0.7171 2024-06-02 08:44:32,105 - mmdet - INFO - Epoch [6][3850/7330] lr: 1.000e-04, eta: 11:44:50, time: 0.872, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0454, loss_cls: 0.1883, acc: 93.0920, loss_bbox: 0.2407, loss_mask: 0.2372, loss: 0.7298 2024-06-02 08:45:15,904 - mmdet - INFO - Epoch [6][3900/7330] lr: 1.000e-04, eta: 11:44:05, time: 0.876, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0445, loss_cls: 0.1854, acc: 93.1763, loss_bbox: 0.2373, loss_mask: 0.2320, loss: 0.7172 2024-06-02 08:45:58,941 - mmdet - INFO - Epoch [6][3950/7330] lr: 1.000e-04, eta: 11:43:18, time: 0.861, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0450, loss_cls: 0.1819, acc: 93.3379, loss_bbox: 0.2366, loss_mask: 0.2449, loss: 0.7269 2024-06-02 08:46:42,388 - mmdet - INFO - Epoch [6][4000/7330] lr: 1.000e-04, eta: 11:42:33, time: 0.869, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0477, loss_cls: 0.1919, acc: 92.8933, loss_bbox: 0.2414, loss_mask: 0.2393, loss: 0.7406 2024-06-02 08:47:31,547 - mmdet - INFO - Epoch [6][4050/7330] lr: 1.000e-04, eta: 11:41:53, time: 0.983, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0433, loss_cls: 0.1786, acc: 93.3054, loss_bbox: 0.2316, loss_mask: 0.2326, loss: 0.7036 2024-06-02 08:48:15,198 - mmdet - INFO - Epoch [6][4100/7330] lr: 1.000e-04, eta: 11:41:08, time: 0.873, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0453, loss_cls: 0.1778, acc: 93.3450, loss_bbox: 0.2285, loss_mask: 0.2285, loss: 0.6976 2024-06-02 08:49:04,874 - mmdet - INFO - Epoch [6][4150/7330] lr: 1.000e-04, eta: 11:40:29, time: 0.993, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0418, loss_cls: 0.1816, acc: 93.3140, loss_bbox: 0.2358, loss_mask: 0.2358, loss: 0.7127 2024-06-02 08:49:50,730 - mmdet - INFO - Epoch [6][4200/7330] lr: 1.000e-04, eta: 11:39:46, time: 0.917, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0441, loss_cls: 0.1920, acc: 92.9756, loss_bbox: 0.2435, loss_mask: 0.2352, loss: 0.7328 2024-06-02 08:50:33,425 - mmdet - INFO - Epoch [6][4250/7330] lr: 1.000e-04, eta: 11:38:59, time: 0.854, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0430, loss_cls: 0.1805, acc: 93.3279, loss_bbox: 0.2301, loss_mask: 0.2338, loss: 0.7048 2024-06-02 08:51:16,941 - mmdet - INFO - Epoch [6][4300/7330] lr: 1.000e-04, eta: 11:38:14, time: 0.870, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0461, loss_cls: 0.1881, acc: 92.9834, loss_bbox: 0.2427, loss_mask: 0.2459, loss: 0.7416 2024-06-02 08:52:00,306 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 08:52:00,306 - mmdet - INFO - Epoch [6][4350/7330] lr: 1.000e-04, eta: 11:37:28, time: 0.867, data_time: 0.069, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0440, loss_cls: 0.1813, acc: 93.3528, loss_bbox: 0.2299, loss_mask: 0.2298, loss: 0.7030 2024-06-02 08:52:43,349 - mmdet - INFO - Epoch [6][4400/7330] lr: 1.000e-04, eta: 11:36:41, time: 0.861, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0416, loss_cls: 0.1856, acc: 93.2368, loss_bbox: 0.2375, loss_mask: 0.2350, loss: 0.7182 2024-06-02 08:53:31,302 - mmdet - INFO - Epoch [6][4450/7330] lr: 1.000e-04, eta: 11:36:01, time: 0.959, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0427, loss_cls: 0.1831, acc: 93.2786, loss_bbox: 0.2375, loss_mask: 0.2361, loss: 0.7173 2024-06-02 08:54:14,488 - mmdet - INFO - Epoch [6][4500/7330] lr: 1.000e-04, eta: 11:35:15, time: 0.864, data_time: 0.067, memory: 18040, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0460, loss_cls: 0.1872, acc: 92.9658, loss_bbox: 0.2405, loss_mask: 0.2413, loss: 0.7347 2024-06-02 08:54:59,139 - mmdet - INFO - Epoch [6][4550/7330] lr: 1.000e-04, eta: 11:34:30, time: 0.893, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0448, loss_cls: 0.1935, acc: 92.9028, loss_bbox: 0.2421, loss_mask: 0.2319, loss: 0.7319 2024-06-02 08:55:42,387 - mmdet - INFO - Epoch [6][4600/7330] lr: 1.000e-04, eta: 11:33:44, time: 0.865, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0458, loss_cls: 0.1839, acc: 93.1897, loss_bbox: 0.2364, loss_mask: 0.2405, loss: 0.7240 2024-06-02 08:56:25,996 - mmdet - INFO - Epoch [6][4650/7330] lr: 1.000e-04, eta: 11:32:58, time: 0.872, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0443, loss_cls: 0.1856, acc: 93.1841, loss_bbox: 0.2363, loss_mask: 0.2359, loss: 0.7203 2024-06-02 08:57:15,365 - mmdet - INFO - Epoch [6][4700/7330] lr: 1.000e-04, eta: 11:32:19, time: 0.988, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0442, loss_cls: 0.1853, acc: 93.1174, loss_bbox: 0.2346, loss_mask: 0.2346, loss: 0.7188 2024-06-02 08:58:03,438 - mmdet - INFO - Epoch [6][4750/7330] lr: 1.000e-04, eta: 11:31:39, time: 0.961, data_time: 0.069, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0433, loss_cls: 0.1757, acc: 93.6162, loss_bbox: 0.2270, loss_mask: 0.2344, loss: 0.6996 2024-06-02 08:58:49,256 - mmdet - INFO - Epoch [6][4800/7330] lr: 1.000e-04, eta: 11:30:55, time: 0.916, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0452, loss_cls: 0.1914, acc: 92.9023, loss_bbox: 0.2430, loss_mask: 0.2421, loss: 0.7408 2024-06-02 08:59:32,108 - mmdet - INFO - Epoch [6][4850/7330] lr: 1.000e-04, eta: 11:30:09, time: 0.857, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0440, loss_cls: 0.1750, acc: 93.4788, loss_bbox: 0.2283, loss_mask: 0.2298, loss: 0.6950 2024-06-02 09:00:15,724 - mmdet - INFO - Epoch [6][4900/7330] lr: 1.000e-04, eta: 11:29:23, time: 0.872, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0439, loss_cls: 0.1814, acc: 93.2681, loss_bbox: 0.2358, loss_mask: 0.2366, loss: 0.7181 2024-06-02 09:00:58,657 - mmdet - INFO - Epoch [6][4950/7330] lr: 1.000e-04, eta: 11:28:37, time: 0.859, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0425, loss_cls: 0.1807, acc: 93.3950, loss_bbox: 0.2303, loss_mask: 0.2318, loss: 0.7032 2024-06-02 09:01:42,294 - mmdet - INFO - Epoch [6][5000/7330] lr: 1.000e-04, eta: 11:27:51, time: 0.873, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0444, loss_cls: 0.1852, acc: 93.1277, loss_bbox: 0.2363, loss_mask: 0.2320, loss: 0.7147 2024-06-02 09:02:30,363 - mmdet - INFO - Epoch [6][5050/7330] lr: 1.000e-04, eta: 11:27:11, time: 0.961, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0453, loss_cls: 0.1837, acc: 93.2607, loss_bbox: 0.2329, loss_mask: 0.2366, loss: 0.7176 2024-06-02 09:03:13,595 - mmdet - INFO - Epoch [6][5100/7330] lr: 1.000e-04, eta: 11:26:25, time: 0.865, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0438, loss_cls: 0.1735, acc: 93.4517, loss_bbox: 0.2273, loss_mask: 0.2300, loss: 0.6928 2024-06-02 09:03:59,707 - mmdet - INFO - Epoch [6][5150/7330] lr: 1.000e-04, eta: 11:25:42, time: 0.922, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0446, loss_cls: 0.1770, acc: 93.3579, loss_bbox: 0.2331, loss_mask: 0.2337, loss: 0.7055 2024-06-02 09:04:42,902 - mmdet - INFO - Epoch [6][5200/7330] lr: 1.000e-04, eta: 11:24:56, time: 0.864, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0433, loss_cls: 0.1786, acc: 93.4155, loss_bbox: 0.2273, loss_mask: 0.2358, loss: 0.7023 2024-06-02 09:05:28,229 - mmdet - INFO - Epoch [6][5250/7330] lr: 1.000e-04, eta: 11:24:12, time: 0.907, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0430, loss_cls: 0.1868, acc: 93.1667, loss_bbox: 0.2358, loss_mask: 0.2350, loss: 0.7204 2024-06-02 09:06:13,973 - mmdet - INFO - Epoch [6][5300/7330] lr: 1.000e-04, eta: 11:23:29, time: 0.915, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0472, loss_cls: 0.1942, acc: 92.9575, loss_bbox: 0.2439, loss_mask: 0.2396, loss: 0.7452 2024-06-02 09:06:59,465 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 09:06:59,465 - mmdet - INFO - Epoch [6][5350/7330] lr: 1.000e-04, eta: 11:22:45, time: 0.910, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0457, loss_cls: 0.1928, acc: 92.9529, loss_bbox: 0.2445, loss_mask: 0.2420, loss: 0.7432 2024-06-02 09:07:47,407 - mmdet - INFO - Epoch [6][5400/7330] lr: 1.000e-04, eta: 11:22:04, time: 0.959, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0453, loss_cls: 0.1903, acc: 92.9617, loss_bbox: 0.2391, loss_mask: 0.2374, loss: 0.7304 2024-06-02 09:08:30,316 - mmdet - INFO - Epoch [6][5450/7330] lr: 1.000e-04, eta: 11:21:18, time: 0.858, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0400, loss_cls: 0.1807, acc: 93.3835, loss_bbox: 0.2308, loss_mask: 0.2331, loss: 0.7007 2024-06-02 09:09:13,616 - mmdet - INFO - Epoch [6][5500/7330] lr: 1.000e-04, eta: 11:20:32, time: 0.866, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0470, loss_cls: 0.1963, acc: 92.8164, loss_bbox: 0.2461, loss_mask: 0.2435, loss: 0.7526 2024-06-02 09:10:01,160 - mmdet - INFO - Epoch [6][5550/7330] lr: 1.000e-04, eta: 11:19:51, time: 0.951, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0442, loss_cls: 0.1909, acc: 92.9399, loss_bbox: 0.2482, loss_mask: 0.2409, loss: 0.7422 2024-06-02 09:10:44,434 - mmdet - INFO - Epoch [6][5600/7330] lr: 1.000e-04, eta: 11:19:05, time: 0.866, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0448, loss_cls: 0.1858, acc: 93.1118, loss_bbox: 0.2371, loss_mask: 0.2358, loss: 0.7225 2024-06-02 09:11:27,396 - mmdet - INFO - Epoch [6][5650/7330] lr: 1.000e-04, eta: 11:18:18, time: 0.859, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0415, loss_cls: 0.1865, acc: 93.2607, loss_bbox: 0.2270, loss_mask: 0.2324, loss: 0.7044 2024-06-02 09:12:11,026 - mmdet - INFO - Epoch [6][5700/7330] lr: 1.000e-04, eta: 11:17:33, time: 0.872, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0439, loss_cls: 0.1855, acc: 93.1357, loss_bbox: 0.2331, loss_mask: 0.2373, loss: 0.7177 2024-06-02 09:12:54,579 - mmdet - INFO - Epoch [6][5750/7330] lr: 1.000e-04, eta: 11:16:47, time: 0.871, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0430, loss_cls: 0.1832, acc: 93.2600, loss_bbox: 0.2395, loss_mask: 0.2401, loss: 0.7230 2024-06-02 09:13:45,728 - mmdet - INFO - Epoch [6][5800/7330] lr: 1.000e-04, eta: 11:16:10, time: 1.023, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0452, loss_cls: 0.1882, acc: 93.0903, loss_bbox: 0.2433, loss_mask: 0.2391, loss: 0.7353 2024-06-02 09:14:31,558 - mmdet - INFO - Epoch [6][5850/7330] lr: 1.000e-04, eta: 11:15:26, time: 0.916, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0436, loss_cls: 0.1785, acc: 93.5310, loss_bbox: 0.2238, loss_mask: 0.2310, loss: 0.6950 2024-06-02 09:15:17,187 - mmdet - INFO - Epoch [6][5900/7330] lr: 1.000e-04, eta: 11:14:43, time: 0.913, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0409, loss_cls: 0.1816, acc: 93.3000, loss_bbox: 0.2353, loss_mask: 0.2296, loss: 0.7037 2024-06-02 09:16:03,866 - mmdet - INFO - Epoch [6][5950/7330] lr: 1.000e-04, eta: 11:14:01, time: 0.934, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0439, loss_cls: 0.1851, acc: 93.1003, loss_bbox: 0.2323, loss_mask: 0.2319, loss: 0.7121 2024-06-02 09:16:47,491 - mmdet - INFO - Epoch [6][6000/7330] lr: 1.000e-04, eta: 11:13:15, time: 0.872, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0484, loss_cls: 0.1844, acc: 93.2751, loss_bbox: 0.2343, loss_mask: 0.2428, loss: 0.7302 2024-06-02 09:17:30,460 - mmdet - INFO - Epoch [6][6050/7330] lr: 1.000e-04, eta: 11:12:29, time: 0.859, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0446, loss_cls: 0.1858, acc: 93.2061, loss_bbox: 0.2322, loss_mask: 0.2387, loss: 0.7176 2024-06-02 09:18:15,751 - mmdet - INFO - Epoch [6][6100/7330] lr: 1.000e-04, eta: 11:11:45, time: 0.906, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0432, loss_cls: 0.1815, acc: 93.2551, loss_bbox: 0.2385, loss_mask: 0.2367, loss: 0.7168 2024-06-02 09:18:59,084 - mmdet - INFO - Epoch [6][6150/7330] lr: 1.000e-04, eta: 11:10:59, time: 0.867, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0457, loss_cls: 0.1845, acc: 93.2285, loss_bbox: 0.2369, loss_mask: 0.2345, loss: 0.7201 2024-06-02 09:19:44,425 - mmdet - INFO - Epoch [6][6200/7330] lr: 1.000e-04, eta: 11:10:15, time: 0.907, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0441, loss_cls: 0.1884, acc: 93.1357, loss_bbox: 0.2390, loss_mask: 0.2425, loss: 0.7339 2024-06-02 09:20:27,757 - mmdet - INFO - Epoch [6][6250/7330] lr: 1.000e-04, eta: 11:09:29, time: 0.867, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0437, loss_cls: 0.1877, acc: 93.0181, loss_bbox: 0.2372, loss_mask: 0.2358, loss: 0.7224 2024-06-02 09:21:10,754 - mmdet - INFO - Epoch [6][6300/7330] lr: 1.000e-04, eta: 11:08:43, time: 0.860, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0448, loss_cls: 0.1789, acc: 93.4121, loss_bbox: 0.2329, loss_mask: 0.2324, loss: 0.7073 2024-06-02 09:21:56,688 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 09:21:56,688 - mmdet - INFO - Epoch [6][6350/7330] lr: 1.000e-04, eta: 11:08:00, time: 0.919, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0469, loss_cls: 0.1913, acc: 92.9744, loss_bbox: 0.2450, loss_mask: 0.2420, loss: 0.7446 2024-06-02 09:22:46,644 - mmdet - INFO - Epoch [6][6400/7330] lr: 1.000e-04, eta: 11:07:21, time: 0.999, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0439, loss_cls: 0.1824, acc: 93.2493, loss_bbox: 0.2310, loss_mask: 0.2370, loss: 0.7129 2024-06-02 09:23:31,769 - mmdet - INFO - Epoch [6][6450/7330] lr: 1.000e-04, eta: 11:06:37, time: 0.903, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0427, loss_cls: 0.1876, acc: 93.2031, loss_bbox: 0.2301, loss_mask: 0.2367, loss: 0.7150 2024-06-02 09:24:20,017 - mmdet - INFO - Epoch [6][6500/7330] lr: 1.000e-04, eta: 11:05:56, time: 0.965, data_time: 0.119, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0448, loss_cls: 0.1831, acc: 93.2722, loss_bbox: 0.2376, loss_mask: 0.2359, loss: 0.7194 2024-06-02 09:25:05,730 - mmdet - INFO - Epoch [6][6550/7330] lr: 1.000e-04, eta: 11:05:13, time: 0.914, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0413, loss_cls: 0.1792, acc: 93.4626, loss_bbox: 0.2282, loss_mask: 0.2326, loss: 0.6983 2024-06-02 09:25:49,385 - mmdet - INFO - Epoch [6][6600/7330] lr: 1.000e-04, eta: 11:04:27, time: 0.873, data_time: 0.072, memory: 18040, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0439, loss_cls: 0.1965, acc: 92.8342, loss_bbox: 0.2453, loss_mask: 0.2422, loss: 0.7491 2024-06-02 09:26:32,438 - mmdet - INFO - Epoch [6][6650/7330] lr: 1.000e-04, eta: 11:03:41, time: 0.861, data_time: 0.074, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0440, loss_cls: 0.1844, acc: 93.1389, loss_bbox: 0.2386, loss_mask: 0.2352, loss: 0.7205 2024-06-02 09:27:17,749 - mmdet - INFO - Epoch [6][6700/7330] lr: 1.000e-04, eta: 11:02:57, time: 0.906, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0424, loss_cls: 0.1825, acc: 93.1780, loss_bbox: 0.2374, loss_mask: 0.2397, loss: 0.7202 2024-06-02 09:28:01,442 - mmdet - INFO - Epoch [6][6750/7330] lr: 1.000e-04, eta: 11:02:12, time: 0.874, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0444, loss_cls: 0.1891, acc: 93.0767, loss_bbox: 0.2370, loss_mask: 0.2370, loss: 0.7258 2024-06-02 09:28:47,897 - mmdet - INFO - Epoch [6][6800/7330] lr: 1.000e-04, eta: 11:01:29, time: 0.929, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0451, loss_cls: 0.1886, acc: 93.0642, loss_bbox: 0.2381, loss_mask: 0.2366, loss: 0.7276 2024-06-02 09:29:31,675 - mmdet - INFO - Epoch [6][6850/7330] lr: 1.000e-04, eta: 11:00:44, time: 0.876, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0425, loss_cls: 0.1912, acc: 93.0950, loss_bbox: 0.2381, loss_mask: 0.2342, loss: 0.7255 2024-06-02 09:30:17,677 - mmdet - INFO - Epoch [6][6900/7330] lr: 1.000e-04, eta: 11:00:01, time: 0.920, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0452, loss_cls: 0.1854, acc: 93.2241, loss_bbox: 0.2298, loss_mask: 0.2411, loss: 0.7196 2024-06-02 09:31:06,387 - mmdet - INFO - Epoch [6][6950/7330] lr: 1.000e-04, eta: 10:59:20, time: 0.974, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0449, loss_cls: 0.1823, acc: 93.3088, loss_bbox: 0.2271, loss_mask: 0.2394, loss: 0.7128 2024-06-02 09:31:50,020 - mmdet - INFO - Epoch [6][7000/7330] lr: 1.000e-04, eta: 10:58:35, time: 0.873, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0442, loss_cls: 0.1833, acc: 93.2952, loss_bbox: 0.2364, loss_mask: 0.2401, loss: 0.7214 2024-06-02 09:32:35,295 - mmdet - INFO - Epoch [6][7050/7330] lr: 1.000e-04, eta: 10:57:51, time: 0.905, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0454, loss_cls: 0.1845, acc: 93.1660, loss_bbox: 0.2342, loss_mask: 0.2364, loss: 0.7184 2024-06-02 09:33:20,876 - mmdet - INFO - Epoch [6][7100/7330] lr: 1.000e-04, eta: 10:57:07, time: 0.912, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0436, loss_cls: 0.1907, acc: 92.9937, loss_bbox: 0.2450, loss_mask: 0.2469, loss: 0.7442 2024-06-02 09:34:06,254 - mmdet - INFO - Epoch [6][7150/7330] lr: 1.000e-04, eta: 10:56:23, time: 0.908, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0444, loss_cls: 0.1819, acc: 93.2078, loss_bbox: 0.2334, loss_mask: 0.2350, loss: 0.7135 2024-06-02 09:34:49,432 - mmdet - INFO - Epoch [6][7200/7330] lr: 1.000e-04, eta: 10:55:37, time: 0.864, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0442, loss_cls: 0.1839, acc: 93.4082, loss_bbox: 0.2352, loss_mask: 0.2349, loss: 0.7157 2024-06-02 09:35:34,569 - mmdet - INFO - Epoch [6][7250/7330] lr: 1.000e-04, eta: 10:54:53, time: 0.903, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0435, loss_cls: 0.1862, acc: 93.2173, loss_bbox: 0.2346, loss_mask: 0.2376, loss: 0.7209 2024-06-02 09:36:18,625 - mmdet - INFO - Epoch [6][7300/7330] lr: 1.000e-04, eta: 10:54:08, time: 0.881, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0449, loss_cls: 0.1834, acc: 93.2827, loss_bbox: 0.2302, loss_mask: 0.2364, loss: 0.7149 2024-06-02 09:36:48,676 - mmdet - INFO - Saving checkpoint at 6 epochs 2024-06-02 09:38:50,841 - mmdet - INFO - Evaluating bbox... 2024-06-02 09:39:13,925 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.448 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.682 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.492 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 ] = 0.487 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.621 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.564 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.564 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.564 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.363 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.608 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.736 2024-06-02 09:39:13,926 - mmdet - INFO - Evaluating segm... 2024-06-02 09:39:42,765 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.403 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.649 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.428 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.189 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.435 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.624 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.298 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.555 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.704 2024-06-02 09:39:43,185 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 09:39:43,188 - mmdet - INFO - Epoch(val) [6][625] bbox_mAP: 0.4480, bbox_mAP_50: 0.6820, bbox_mAP_75: 0.4920, bbox_mAP_s: 0.2660, bbox_mAP_m: 0.4870, bbox_mAP_l: 0.6210, bbox_mAP_copypaste: 0.448 0.682 0.492 0.266 0.487 0.621, segm_mAP: 0.4030, segm_mAP_50: 0.6490, segm_mAP_75: 0.4280, segm_mAP_s: 0.1890, segm_mAP_m: 0.4350, segm_mAP_l: 0.6240, segm_mAP_copypaste: 0.403 0.649 0.428 0.189 0.435 0.624 2024-06-02 09:40:37,889 - mmdet - INFO - Epoch [7][50/7330] lr: 1.000e-04, eta: 10:52:40, time: 1.094, data_time: 0.118, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0423, loss_cls: 0.1767, acc: 93.5078, loss_bbox: 0.2306, loss_mask: 0.2319, loss: 0.6978 2024-06-02 09:41:21,125 - mmdet - INFO - Epoch [7][100/7330] lr: 1.000e-04, eta: 10:51:54, time: 0.865, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0436, loss_cls: 0.1692, acc: 93.6638, loss_bbox: 0.2226, loss_mask: 0.2248, loss: 0.6763 2024-06-02 09:42:06,996 - mmdet - INFO - Epoch [7][150/7330] lr: 1.000e-04, eta: 10:51:11, time: 0.917, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0427, loss_cls: 0.1732, acc: 93.6348, loss_bbox: 0.2241, loss_mask: 0.2248, loss: 0.6815 2024-06-02 09:42:49,588 - mmdet - INFO - Epoch [7][200/7330] lr: 1.000e-04, eta: 10:50:24, time: 0.852, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0390, loss_cls: 0.1622, acc: 93.9062, loss_bbox: 0.2152, loss_mask: 0.2288, loss: 0.6596 2024-06-02 09:43:35,155 - mmdet - INFO - Epoch [7][250/7330] lr: 1.000e-04, eta: 10:49:41, time: 0.911, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0432, loss_cls: 0.1766, acc: 93.3850, loss_bbox: 0.2311, loss_mask: 0.2332, loss: 0.7009 2024-06-02 09:44:19,343 - mmdet - INFO - Epoch [7][300/7330] lr: 1.000e-04, eta: 10:48:56, time: 0.884, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0453, loss_cls: 0.1821, acc: 93.0662, loss_bbox: 0.2415, loss_mask: 0.2363, loss: 0.7236 2024-06-02 09:45:02,320 - mmdet - INFO - Epoch [7][350/7330] lr: 1.000e-04, eta: 10:48:10, time: 0.860, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0446, loss_cls: 0.1748, acc: 93.5142, loss_bbox: 0.2300, loss_mask: 0.2304, loss: 0.6960 2024-06-02 09:45:47,674 - mmdet - INFO - Epoch [7][400/7330] lr: 1.000e-04, eta: 10:47:26, time: 0.907, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0427, loss_cls: 0.1683, acc: 93.6655, loss_bbox: 0.2264, loss_mask: 0.2269, loss: 0.6809 2024-06-02 09:46:31,073 - mmdet - INFO - Epoch [7][450/7330] lr: 1.000e-04, eta: 10:46:40, time: 0.867, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0413, loss_cls: 0.1764, acc: 93.3054, loss_bbox: 0.2377, loss_mask: 0.2264, loss: 0.6968 2024-06-02 09:47:14,425 - mmdet - INFO - Epoch [7][500/7330] lr: 1.000e-04, eta: 10:45:55, time: 0.867, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0450, loss_cls: 0.1791, acc: 93.3650, loss_bbox: 0.2321, loss_mask: 0.2315, loss: 0.7040 2024-06-02 09:47:57,688 - mmdet - INFO - Epoch [7][550/7330] lr: 1.000e-04, eta: 10:45:09, time: 0.865, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0438, loss_cls: 0.1731, acc: 93.5361, loss_bbox: 0.2311, loss_mask: 0.2388, loss: 0.7027 2024-06-02 09:48:42,719 - mmdet - INFO - Epoch [7][600/7330] lr: 1.000e-04, eta: 10:44:25, time: 0.901, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0424, loss_cls: 0.1656, acc: 93.9150, loss_bbox: 0.2136, loss_mask: 0.2291, loss: 0.6670 2024-06-02 09:49:29,613 - mmdet - INFO - Epoch [7][650/7330] lr: 1.000e-04, eta: 10:43:42, time: 0.938, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0428, loss_cls: 0.1750, acc: 93.5095, loss_bbox: 0.2263, loss_mask: 0.2340, loss: 0.6932 2024-06-02 09:50:21,785 - mmdet - INFO - Epoch [7][700/7330] lr: 1.000e-04, eta: 10:43:05, time: 1.043, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0418, loss_cls: 0.1708, acc: 93.7021, loss_bbox: 0.2173, loss_mask: 0.2266, loss: 0.6744 2024-06-02 09:51:05,344 - mmdet - INFO - Epoch [7][750/7330] lr: 1.000e-04, eta: 10:42:20, time: 0.871, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0448, loss_cls: 0.1828, acc: 93.1467, loss_bbox: 0.2355, loss_mask: 0.2346, loss: 0.7158 2024-06-02 09:51:50,377 - mmdet - INFO - Epoch [7][800/7330] lr: 1.000e-04, eta: 10:41:35, time: 0.901, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0410, loss_cls: 0.1674, acc: 93.6797, loss_bbox: 0.2190, loss_mask: 0.2286, loss: 0.6717 2024-06-02 09:52:33,656 - mmdet - INFO - Epoch [7][850/7330] lr: 1.000e-04, eta: 10:40:50, time: 0.866, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0434, loss_cls: 0.1770, acc: 93.4653, loss_bbox: 0.2273, loss_mask: 0.2311, loss: 0.6946 2024-06-02 09:53:19,751 - mmdet - INFO - Epoch [7][900/7330] lr: 1.000e-04, eta: 10:40:06, time: 0.922, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0418, loss_cls: 0.1766, acc: 93.4336, loss_bbox: 0.2304, loss_mask: 0.2306, loss: 0.6958 2024-06-02 09:54:02,763 - mmdet - INFO - Epoch [7][950/7330] lr: 1.000e-04, eta: 10:39:20, time: 0.860, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0443, loss_cls: 0.1712, acc: 93.6494, loss_bbox: 0.2260, loss_mask: 0.2290, loss: 0.6864 2024-06-02 09:54:46,409 - mmdet - INFO - Epoch [7][1000/7330] lr: 1.000e-04, eta: 10:38:35, time: 0.873, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0455, loss_cls: 0.1828, acc: 93.1006, loss_bbox: 0.2393, loss_mask: 0.2422, loss: 0.7279 2024-06-02 09:55:29,461 - mmdet - INFO - Epoch [7][1050/7330] lr: 1.000e-04, eta: 10:37:49, time: 0.861, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0435, loss_cls: 0.1732, acc: 93.5701, loss_bbox: 0.2260, loss_mask: 0.2287, loss: 0.6867 2024-06-02 09:56:14,624 - mmdet - INFO - Epoch [7][1100/7330] lr: 1.000e-04, eta: 10:37:05, time: 0.903, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0421, loss_cls: 0.1826, acc: 93.2747, loss_bbox: 0.2335, loss_mask: 0.2351, loss: 0.7103 2024-06-02 09:56:58,300 - mmdet - INFO - Epoch [7][1150/7330] lr: 1.000e-04, eta: 10:36:19, time: 0.873, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0452, loss_cls: 0.1823, acc: 93.3906, loss_bbox: 0.2319, loss_mask: 0.2314, loss: 0.7074 2024-06-02 09:57:45,657 - mmdet - INFO - Epoch [7][1200/7330] lr: 1.000e-04, eta: 10:35:38, time: 0.947, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0426, loss_cls: 0.1742, acc: 93.5886, loss_bbox: 0.2223, loss_mask: 0.2342, loss: 0.6892 2024-06-02 09:58:32,885 - mmdet - INFO - Epoch [7][1250/7330] lr: 1.000e-04, eta: 10:34:55, time: 0.945, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0396, loss_cls: 0.1702, acc: 93.6885, loss_bbox: 0.2211, loss_mask: 0.2230, loss: 0.6702 2024-06-02 09:59:21,295 - mmdet - INFO - Epoch [7][1300/7330] lr: 1.000e-04, eta: 10:34:14, time: 0.968, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0432, loss_cls: 0.1789, acc: 93.3428, loss_bbox: 0.2330, loss_mask: 0.2342, loss: 0.7055 2024-06-02 10:00:03,475 - mmdet - INFO - Epoch [7][1350/7330] lr: 1.000e-04, eta: 10:33:28, time: 0.844, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0416, loss_cls: 0.1702, acc: 93.7087, loss_bbox: 0.2196, loss_mask: 0.2357, loss: 0.6833 2024-06-02 10:00:47,041 - mmdet - INFO - Epoch [7][1400/7330] lr: 1.000e-04, eta: 10:32:42, time: 0.871, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0435, loss_cls: 0.1756, acc: 93.4875, loss_bbox: 0.2301, loss_mask: 0.2365, loss: 0.7023 2024-06-02 10:01:33,107 - mmdet - INFO - Epoch [7][1450/7330] lr: 1.000e-04, eta: 10:31:59, time: 0.921, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0459, loss_cls: 0.1927, acc: 92.8259, loss_bbox: 0.2450, loss_mask: 0.2372, loss: 0.7402 2024-06-02 10:02:16,373 - mmdet - INFO - Epoch [7][1500/7330] lr: 1.000e-04, eta: 10:31:13, time: 0.865, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0443, loss_cls: 0.1752, acc: 93.5288, loss_bbox: 0.2294, loss_mask: 0.2337, loss: 0.6990 2024-06-02 10:03:00,099 - mmdet - INFO - Epoch [7][1550/7330] lr: 1.000e-04, eta: 10:30:28, time: 0.874, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0433, loss_cls: 0.1785, acc: 93.3484, loss_bbox: 0.2336, loss_mask: 0.2335, loss: 0.7066 2024-06-02 10:03:43,152 - mmdet - INFO - Epoch [7][1600/7330] lr: 1.000e-04, eta: 10:29:42, time: 0.861, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0418, loss_cls: 0.1716, acc: 93.5923, loss_bbox: 0.2262, loss_mask: 0.2298, loss: 0.6852 2024-06-02 10:04:26,591 - mmdet - INFO - Epoch [7][1650/7330] lr: 1.000e-04, eta: 10:28:56, time: 0.869, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0432, loss_cls: 0.1787, acc: 93.2778, loss_bbox: 0.2339, loss_mask: 0.2350, loss: 0.7070 2024-06-02 10:05:09,608 - mmdet - INFO - Epoch [7][1700/7330] lr: 1.000e-04, eta: 10:28:10, time: 0.860, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0421, loss_cls: 0.1745, acc: 93.5117, loss_bbox: 0.2267, loss_mask: 0.2302, loss: 0.6896 2024-06-02 10:05:55,804 - mmdet - INFO - Epoch [7][1750/7330] lr: 1.000e-04, eta: 10:27:27, time: 0.924, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0425, loss_cls: 0.1751, acc: 93.5559, loss_bbox: 0.2254, loss_mask: 0.2248, loss: 0.6833 2024-06-02 10:06:45,654 - mmdet - INFO - Epoch [7][1800/7330] lr: 1.000e-04, eta: 10:26:47, time: 0.997, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0410, loss_cls: 0.1722, acc: 93.7456, loss_bbox: 0.2196, loss_mask: 0.2260, loss: 0.6766 2024-06-02 10:07:31,227 - mmdet - INFO - Epoch [7][1850/7330] lr: 1.000e-04, eta: 10:26:04, time: 0.911, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0421, loss_cls: 0.1766, acc: 93.3789, loss_bbox: 0.2271, loss_mask: 0.2334, loss: 0.6951 2024-06-02 10:08:19,622 - mmdet - INFO - Epoch [7][1900/7330] lr: 1.000e-04, eta: 10:25:23, time: 0.968, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0429, loss_cls: 0.1758, acc: 93.4124, loss_bbox: 0.2272, loss_mask: 0.2316, loss: 0.6944 2024-06-02 10:09:02,471 - mmdet - INFO - Epoch [7][1950/7330] lr: 1.000e-04, eta: 10:24:36, time: 0.857, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0405, loss_cls: 0.1673, acc: 93.8992, loss_bbox: 0.2137, loss_mask: 0.2203, loss: 0.6586 2024-06-02 10:09:45,530 - mmdet - INFO - Epoch [7][2000/7330] lr: 1.000e-04, eta: 10:23:50, time: 0.861, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0424, loss_cls: 0.1699, acc: 93.8103, loss_bbox: 0.2239, loss_mask: 0.2301, loss: 0.6830 2024-06-02 10:10:30,987 - mmdet - INFO - Epoch [7][2050/7330] lr: 1.000e-04, eta: 10:23:07, time: 0.909, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0434, loss_cls: 0.1778, acc: 93.3867, loss_bbox: 0.2343, loss_mask: 0.2261, loss: 0.6989 2024-06-02 10:11:14,692 - mmdet - INFO - Epoch [7][2100/7330] lr: 1.000e-04, eta: 10:22:21, time: 0.874, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0447, loss_cls: 0.1796, acc: 93.3308, loss_bbox: 0.2321, loss_mask: 0.2332, loss: 0.7073 2024-06-02 10:11:57,535 - mmdet - INFO - Epoch [7][2150/7330] lr: 1.000e-04, eta: 10:21:35, time: 0.857, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0428, loss_cls: 0.1710, acc: 93.5850, loss_bbox: 0.2283, loss_mask: 0.2309, loss: 0.6890 2024-06-02 10:12:41,027 - mmdet - INFO - Epoch [7][2200/7330] lr: 1.000e-04, eta: 10:20:50, time: 0.870, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0444, loss_cls: 0.1807, acc: 93.3125, loss_bbox: 0.2340, loss_mask: 0.2343, loss: 0.7113 2024-06-02 10:13:24,612 - mmdet - INFO - Epoch [7][2250/7330] lr: 1.000e-04, eta: 10:20:04, time: 0.872, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0438, loss_cls: 0.1824, acc: 93.2886, loss_bbox: 0.2305, loss_mask: 0.2317, loss: 0.7057 2024-06-02 10:14:12,668 - mmdet - INFO - Epoch [7][2300/7330] lr: 1.000e-04, eta: 10:19:23, time: 0.961, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0420, loss_cls: 0.1800, acc: 93.3281, loss_bbox: 0.2338, loss_mask: 0.2341, loss: 0.7068 2024-06-02 10:14:58,434 - mmdet - INFO - Epoch [7][2350/7330] lr: 1.000e-04, eta: 10:18:39, time: 0.915, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0416, loss_cls: 0.1777, acc: 93.4746, loss_bbox: 0.2299, loss_mask: 0.2319, loss: 0.6987 2024-06-02 10:15:46,062 - mmdet - INFO - Epoch [7][2400/7330] lr: 1.000e-04, eta: 10:17:57, time: 0.953, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0423, loss_cls: 0.1806, acc: 93.2749, loss_bbox: 0.2293, loss_mask: 0.2325, loss: 0.7010 2024-06-02 10:16:32,079 - mmdet - INFO - Epoch [7][2450/7330] lr: 1.000e-04, eta: 10:17:14, time: 0.920, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0448, loss_cls: 0.1757, acc: 93.4546, loss_bbox: 0.2294, loss_mask: 0.2316, loss: 0.6977 2024-06-02 10:17:17,722 - mmdet - INFO - Epoch [7][2500/7330] lr: 1.000e-04, eta: 10:16:30, time: 0.913, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0437, loss_cls: 0.1803, acc: 93.3079, loss_bbox: 0.2315, loss_mask: 0.2317, loss: 0.7033 2024-06-02 10:18:03,217 - mmdet - INFO - Epoch [7][2550/7330] lr: 1.000e-04, eta: 10:15:47, time: 0.910, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0411, loss_cls: 0.1745, acc: 93.5288, loss_bbox: 0.2299, loss_mask: 0.2326, loss: 0.6954 2024-06-02 10:18:46,803 - mmdet - INFO - Epoch [7][2600/7330] lr: 1.000e-04, eta: 10:15:01, time: 0.872, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0424, loss_cls: 0.1766, acc: 93.3545, loss_bbox: 0.2308, loss_mask: 0.2361, loss: 0.7024 2024-06-02 10:19:29,666 - mmdet - INFO - Epoch [7][2650/7330] lr: 1.000e-04, eta: 10:14:15, time: 0.857, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0429, loss_cls: 0.1817, acc: 93.1636, loss_bbox: 0.2336, loss_mask: 0.2348, loss: 0.7097 2024-06-02 10:20:13,131 - mmdet - INFO - Epoch [7][2700/7330] lr: 1.000e-04, eta: 10:13:29, time: 0.869, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0435, loss_cls: 0.1797, acc: 93.3425, loss_bbox: 0.2358, loss_mask: 0.2328, loss: 0.7088 2024-06-02 10:20:56,186 - mmdet - INFO - Epoch [7][2750/7330] lr: 1.000e-04, eta: 10:12:43, time: 0.861, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0445, loss_cls: 0.1785, acc: 93.4089, loss_bbox: 0.2273, loss_mask: 0.2315, loss: 0.6996 2024-06-02 10:21:42,239 - mmdet - INFO - Epoch [7][2800/7330] lr: 1.000e-04, eta: 10:12:00, time: 0.921, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0453, loss_cls: 0.1778, acc: 93.4121, loss_bbox: 0.2294, loss_mask: 0.2371, loss: 0.7067 2024-06-02 10:22:30,661 - mmdet - INFO - Epoch [7][2850/7330] lr: 1.000e-04, eta: 10:11:19, time: 0.968, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0450, loss_cls: 0.1783, acc: 93.3665, loss_bbox: 0.2293, loss_mask: 0.2259, loss: 0.6965 2024-06-02 10:23:13,217 - mmdet - INFO - Epoch [7][2900/7330] lr: 1.000e-04, eta: 10:10:33, time: 0.851, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0398, loss_cls: 0.1701, acc: 93.6592, loss_bbox: 0.2194, loss_mask: 0.2297, loss: 0.6738 2024-06-02 10:23:56,076 - mmdet - INFO - Epoch [7][2950/7330] lr: 1.000e-04, eta: 10:09:46, time: 0.857, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0421, loss_cls: 0.1686, acc: 93.7273, loss_bbox: 0.2217, loss_mask: 0.2265, loss: 0.6742 2024-06-02 10:24:43,554 - mmdet - INFO - Epoch [7][3000/7330] lr: 1.000e-04, eta: 10:09:04, time: 0.949, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0436, loss_cls: 0.1814, acc: 93.1758, loss_bbox: 0.2367, loss_mask: 0.2319, loss: 0.7106 2024-06-02 10:25:33,610 - mmdet - INFO - Epoch [7][3050/7330] lr: 1.000e-04, eta: 10:08:25, time: 1.001, data_time: 0.072, memory: 18040, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0476, loss_cls: 0.1808, acc: 93.2239, loss_bbox: 0.2339, loss_mask: 0.2334, loss: 0.7129 2024-06-02 10:26:19,821 - mmdet - INFO - Epoch [7][3100/7330] lr: 1.000e-04, eta: 10:07:41, time: 0.924, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0462, loss_cls: 0.1851, acc: 93.1560, loss_bbox: 0.2428, loss_mask: 0.2340, loss: 0.7261 2024-06-02 10:27:03,562 - mmdet - INFO - Epoch [7][3150/7330] lr: 1.000e-04, eta: 10:06:56, time: 0.875, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0440, loss_cls: 0.1854, acc: 93.0923, loss_bbox: 0.2391, loss_mask: 0.2345, loss: 0.7195 2024-06-02 10:27:46,729 - mmdet - INFO - Epoch [7][3200/7330] lr: 1.000e-04, eta: 10:06:10, time: 0.863, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0440, loss_cls: 0.1827, acc: 93.2551, loss_bbox: 0.2300, loss_mask: 0.2326, loss: 0.7069 2024-06-02 10:28:29,375 - mmdet - INFO - Epoch [7][3250/7330] lr: 1.000e-04, eta: 10:05:24, time: 0.853, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0405, loss_cls: 0.1695, acc: 93.7104, loss_bbox: 0.2213, loss_mask: 0.2356, loss: 0.6837 2024-06-02 10:29:12,606 - mmdet - INFO - Epoch [7][3300/7330] lr: 1.000e-04, eta: 10:04:38, time: 0.865, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0403, loss_cls: 0.1780, acc: 93.3516, loss_bbox: 0.2290, loss_mask: 0.2302, loss: 0.6942 2024-06-02 10:29:59,749 - mmdet - INFO - Epoch [7][3350/7330] lr: 1.000e-04, eta: 10:03:56, time: 0.943, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0424, loss_cls: 0.1753, acc: 93.4314, loss_bbox: 0.2311, loss_mask: 0.2323, loss: 0.6988 2024-06-02 10:30:43,090 - mmdet - INFO - Epoch [7][3400/7330] lr: 1.000e-04, eta: 10:03:10, time: 0.867, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0437, loss_cls: 0.1793, acc: 93.2883, loss_bbox: 0.2334, loss_mask: 0.2333, loss: 0.7074 2024-06-02 10:31:30,667 - mmdet - INFO - Epoch [7][3450/7330] lr: 1.000e-04, eta: 10:02:28, time: 0.951, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0441, loss_cls: 0.1777, acc: 93.4910, loss_bbox: 0.2278, loss_mask: 0.2305, loss: 0.6963 2024-06-02 10:32:14,831 - mmdet - INFO - Epoch [7][3500/7330] lr: 1.000e-04, eta: 10:01:43, time: 0.883, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0431, loss_cls: 0.1782, acc: 93.3384, loss_bbox: 0.2285, loss_mask: 0.2295, loss: 0.6955 2024-06-02 10:33:00,129 - mmdet - INFO - Epoch [7][3550/7330] lr: 1.000e-04, eta: 10:00:59, time: 0.906, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0422, loss_cls: 0.1825, acc: 93.2700, loss_bbox: 0.2343, loss_mask: 0.2342, loss: 0.7115 2024-06-02 10:33:43,102 - mmdet - INFO - Epoch [7][3600/7330] lr: 1.000e-04, eta: 10:00:13, time: 0.859, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0420, loss_cls: 0.1741, acc: 93.4995, loss_bbox: 0.2344, loss_mask: 0.2328, loss: 0.6999 2024-06-02 10:34:30,655 - mmdet - INFO - Epoch [7][3650/7330] lr: 1.000e-04, eta: 9:59:31, time: 0.951, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0410, loss_cls: 0.1775, acc: 93.5996, loss_bbox: 0.2262, loss_mask: 0.2300, loss: 0.6903 2024-06-02 10:35:18,428 - mmdet - INFO - Epoch [7][3700/7330] lr: 1.000e-04, eta: 9:58:49, time: 0.956, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0409, loss_cls: 0.1673, acc: 93.8303, loss_bbox: 0.2141, loss_mask: 0.2217, loss: 0.6608 2024-06-02 10:36:01,901 - mmdet - INFO - Epoch [7][3750/7330] lr: 1.000e-04, eta: 9:58:04, time: 0.869, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0484, loss_cls: 0.1973, acc: 92.5791, loss_bbox: 0.2515, loss_mask: 0.2374, loss: 0.7541 2024-06-02 10:36:44,994 - mmdet - INFO - Epoch [7][3800/7330] lr: 1.000e-04, eta: 9:57:18, time: 0.862, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0402, loss_cls: 0.1771, acc: 93.4431, loss_bbox: 0.2243, loss_mask: 0.2294, loss: 0.6884 2024-06-02 10:37:27,711 - mmdet - INFO - Epoch [7][3850/7330] lr: 1.000e-04, eta: 9:56:31, time: 0.854, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0420, loss_cls: 0.1777, acc: 93.3557, loss_bbox: 0.2312, loss_mask: 0.2267, loss: 0.6941 2024-06-02 10:38:10,582 - mmdet - INFO - Epoch [7][3900/7330] lr: 1.000e-04, eta: 9:55:45, time: 0.857, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0421, loss_cls: 0.1759, acc: 93.5032, loss_bbox: 0.2250, loss_mask: 0.2297, loss: 0.6894 2024-06-02 10:38:58,605 - mmdet - INFO - Epoch [7][3950/7330] lr: 1.000e-04, eta: 9:55:04, time: 0.960, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0417, loss_cls: 0.1765, acc: 93.5352, loss_bbox: 0.2247, loss_mask: 0.2336, loss: 0.6943 2024-06-02 10:39:41,391 - mmdet - INFO - Epoch [7][4000/7330] lr: 1.000e-04, eta: 9:54:18, time: 0.856, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0422, loss_cls: 0.1750, acc: 93.4629, loss_bbox: 0.2311, loss_mask: 0.2312, loss: 0.6955 2024-06-02 10:40:24,354 - mmdet - INFO - Epoch [7][4050/7330] lr: 1.000e-04, eta: 9:53:32, time: 0.859, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0435, loss_cls: 0.1757, acc: 93.5195, loss_bbox: 0.2288, loss_mask: 0.2371, loss: 0.7025 2024-06-02 10:41:09,237 - mmdet - INFO - Epoch [7][4100/7330] lr: 1.000e-04, eta: 9:52:47, time: 0.898, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0442, loss_cls: 0.1731, acc: 93.5674, loss_bbox: 0.2283, loss_mask: 0.2278, loss: 0.6905 2024-06-02 10:41:55,940 - mmdet - INFO - Epoch [7][4150/7330] lr: 1.000e-04, eta: 9:52:04, time: 0.934, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0433, loss_cls: 0.1770, acc: 93.4065, loss_bbox: 0.2263, loss_mask: 0.2325, loss: 0.6953 2024-06-02 10:42:41,139 - mmdet - INFO - Epoch [7][4200/7330] lr: 1.000e-04, eta: 9:51:20, time: 0.904, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0410, loss_cls: 0.1706, acc: 93.7473, loss_bbox: 0.2205, loss_mask: 0.2291, loss: 0.6779 2024-06-02 10:43:26,317 - mmdet - INFO - Epoch [7][4250/7330] lr: 1.000e-04, eta: 9:50:36, time: 0.904, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0433, loss_cls: 0.1835, acc: 93.2798, loss_bbox: 0.2283, loss_mask: 0.2317, loss: 0.7047 2024-06-02 10:44:11,354 - mmdet - INFO - Epoch [7][4300/7330] lr: 1.000e-04, eta: 9:49:52, time: 0.901, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0427, loss_cls: 0.1810, acc: 93.4360, loss_bbox: 0.2275, loss_mask: 0.2306, loss: 0.6988 2024-06-02 10:44:54,190 - mmdet - INFO - Epoch [7][4350/7330] lr: 1.000e-04, eta: 9:49:06, time: 0.857, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0437, loss_cls: 0.1765, acc: 93.3931, loss_bbox: 0.2314, loss_mask: 0.2335, loss: 0.7039 2024-06-02 10:45:37,069 - mmdet - INFO - Epoch [7][4400/7330] lr: 1.000e-04, eta: 9:48:20, time: 0.857, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0416, loss_cls: 0.1756, acc: 93.5215, loss_bbox: 0.2206, loss_mask: 0.2291, loss: 0.6837 2024-06-02 10:46:20,368 - mmdet - INFO - Epoch [7][4450/7330] lr: 1.000e-04, eta: 9:47:34, time: 0.866, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0433, loss_cls: 0.1841, acc: 93.2329, loss_bbox: 0.2323, loss_mask: 0.2296, loss: 0.7062 2024-06-02 10:47:05,106 - mmdet - INFO - Epoch [7][4500/7330] lr: 1.000e-04, eta: 9:46:50, time: 0.895, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0417, loss_cls: 0.1718, acc: 93.6973, loss_bbox: 0.2201, loss_mask: 0.2279, loss: 0.6760 2024-06-02 10:47:50,896 - mmdet - INFO - Epoch [7][4550/7330] lr: 1.000e-04, eta: 9:46:06, time: 0.916, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0452, loss_cls: 0.1882, acc: 92.9922, loss_bbox: 0.2368, loss_mask: 0.2341, loss: 0.7214 2024-06-02 10:48:33,853 - mmdet - INFO - Epoch [7][4600/7330] lr: 1.000e-04, eta: 9:45:20, time: 0.859, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0415, loss_cls: 0.1743, acc: 93.5034, loss_bbox: 0.2309, loss_mask: 0.2319, loss: 0.6947 2024-06-02 10:49:16,669 - mmdet - INFO - Epoch [7][4650/7330] lr: 1.000e-04, eta: 9:44:34, time: 0.856, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0419, loss_cls: 0.1795, acc: 93.2766, loss_bbox: 0.2282, loss_mask: 0.2292, loss: 0.6967 2024-06-02 10:50:02,215 - mmdet - INFO - Epoch [7][4700/7330] lr: 1.000e-04, eta: 9:43:50, time: 0.911, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0408, loss_cls: 0.1764, acc: 93.4973, loss_bbox: 0.2274, loss_mask: 0.2318, loss: 0.6931 2024-06-02 10:50:49,642 - mmdet - INFO - Epoch [7][4750/7330] lr: 1.000e-04, eta: 9:43:08, time: 0.948, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0421, loss_cls: 0.1814, acc: 93.2939, loss_bbox: 0.2281, loss_mask: 0.2311, loss: 0.6995 2024-06-02 10:51:38,066 - mmdet - INFO - Epoch [7][4800/7330] lr: 1.000e-04, eta: 9:42:27, time: 0.969, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0436, loss_cls: 0.1839, acc: 93.0762, loss_bbox: 0.2421, loss_mask: 0.2383, loss: 0.7251 2024-06-02 10:52:23,410 - mmdet - INFO - Epoch [7][4850/7330] lr: 1.000e-04, eta: 9:41:43, time: 0.907, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0428, loss_cls: 0.1791, acc: 93.3457, loss_bbox: 0.2303, loss_mask: 0.2315, loss: 0.7012 2024-06-02 10:53:06,067 - mmdet - INFO - Epoch [7][4900/7330] lr: 1.000e-04, eta: 9:40:56, time: 0.853, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0400, loss_cls: 0.1763, acc: 93.4304, loss_bbox: 0.2310, loss_mask: 0.2294, loss: 0.6930 2024-06-02 10:53:48,594 - mmdet - INFO - Epoch [7][4950/7330] lr: 1.000e-04, eta: 9:40:10, time: 0.850, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0425, loss_cls: 0.1841, acc: 93.1519, loss_bbox: 0.2325, loss_mask: 0.2324, loss: 0.7089 2024-06-02 10:54:31,113 - mmdet - INFO - Epoch [7][5000/7330] lr: 1.000e-04, eta: 9:39:24, time: 0.850, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0411, loss_cls: 0.1680, acc: 93.6626, loss_bbox: 0.2243, loss_mask: 0.2272, loss: 0.6767 2024-06-02 10:55:14,442 - mmdet - INFO - Epoch [7][5050/7330] lr: 1.000e-04, eta: 9:38:38, time: 0.867, data_time: 0.066, memory: 18040, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0435, loss_cls: 0.1825, acc: 93.1626, loss_bbox: 0.2280, loss_mask: 0.2339, loss: 0.7050 2024-06-02 10:55:59,395 - mmdet - INFO - Epoch [7][5100/7330] lr: 1.000e-04, eta: 9:37:54, time: 0.899, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0428, loss_cls: 0.1791, acc: 93.3354, loss_bbox: 0.2338, loss_mask: 0.2326, loss: 0.7041 2024-06-02 10:56:44,379 - mmdet - INFO - Epoch [7][5150/7330] lr: 1.000e-04, eta: 9:37:10, time: 0.900, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0431, loss_cls: 0.1746, acc: 93.5784, loss_bbox: 0.2244, loss_mask: 0.2280, loss: 0.6868 2024-06-02 10:57:27,434 - mmdet - INFO - Epoch [7][5200/7330] lr: 1.000e-04, eta: 9:36:24, time: 0.861, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0435, loss_cls: 0.1768, acc: 93.4512, loss_bbox: 0.2299, loss_mask: 0.2317, loss: 0.6994 2024-06-02 10:58:10,252 - mmdet - INFO - Epoch [7][5250/7330] lr: 1.000e-04, eta: 9:35:38, time: 0.856, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0426, loss_cls: 0.1824, acc: 93.2334, loss_bbox: 0.2322, loss_mask: 0.2266, loss: 0.7011 2024-06-02 10:58:55,748 - mmdet - INFO - Epoch [7][5300/7330] lr: 1.000e-04, eta: 9:34:54, time: 0.910, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0439, loss_cls: 0.1813, acc: 93.3132, loss_bbox: 0.2331, loss_mask: 0.2384, loss: 0.7131 2024-06-02 10:59:45,516 - mmdet - INFO - Epoch [7][5350/7330] lr: 1.000e-04, eta: 9:34:14, time: 0.995, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0438, loss_cls: 0.1785, acc: 93.3679, loss_bbox: 0.2272, loss_mask: 0.2303, loss: 0.6979 2024-06-02 11:00:33,295 - mmdet - INFO - Epoch [7][5400/7330] lr: 1.000e-04, eta: 9:33:31, time: 0.956, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0411, loss_cls: 0.1744, acc: 93.5623, loss_bbox: 0.2235, loss_mask: 0.2254, loss: 0.6813 2024-06-02 11:01:16,635 - mmdet - INFO - Epoch [7][5450/7330] lr: 1.000e-04, eta: 9:32:46, time: 0.867, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0435, loss_cls: 0.1869, acc: 93.0488, loss_bbox: 0.2396, loss_mask: 0.2352, loss: 0.7230 2024-06-02 11:01:59,931 - mmdet - INFO - Epoch [7][5500/7330] lr: 1.000e-04, eta: 9:32:00, time: 0.866, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0447, loss_cls: 0.1844, acc: 93.2019, loss_bbox: 0.2356, loss_mask: 0.2308, loss: 0.7147 2024-06-02 11:02:43,257 - mmdet - INFO - Epoch [7][5550/7330] lr: 1.000e-04, eta: 9:31:15, time: 0.866, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0406, loss_cls: 0.1793, acc: 93.3010, loss_bbox: 0.2350, loss_mask: 0.2331, loss: 0.7053 2024-06-02 11:03:32,658 - mmdet - INFO - Epoch [7][5600/7330] lr: 1.000e-04, eta: 9:30:34, time: 0.988, data_time: 0.124, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0425, loss_cls: 0.1758, acc: 93.4810, loss_bbox: 0.2235, loss_mask: 0.2288, loss: 0.6874 2024-06-02 11:04:15,653 - mmdet - INFO - Epoch [7][5650/7330] lr: 1.000e-04, eta: 9:29:48, time: 0.860, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0457, loss_cls: 0.1789, acc: 93.4534, loss_bbox: 0.2322, loss_mask: 0.2313, loss: 0.7056 2024-06-02 11:05:01,173 - mmdet - INFO - Epoch [7][5700/7330] lr: 1.000e-04, eta: 9:29:04, time: 0.910, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0433, loss_cls: 0.1831, acc: 93.2178, loss_bbox: 0.2325, loss_mask: 0.2341, loss: 0.7095 2024-06-02 11:05:43,715 - mmdet - INFO - Epoch [7][5750/7330] lr: 1.000e-04, eta: 9:28:18, time: 0.851, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0410, loss_cls: 0.1749, acc: 93.4407, loss_bbox: 0.2242, loss_mask: 0.2288, loss: 0.6848 2024-06-02 11:06:29,169 - mmdet - INFO - Epoch [7][5800/7330] lr: 1.000e-04, eta: 9:27:34, time: 0.909, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0434, loss_cls: 0.1823, acc: 93.2551, loss_bbox: 0.2307, loss_mask: 0.2271, loss: 0.7007 2024-06-02 11:07:12,546 - mmdet - INFO - Epoch [7][5850/7330] lr: 1.000e-04, eta: 9:26:48, time: 0.868, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0417, loss_cls: 0.1755, acc: 93.4055, loss_bbox: 0.2263, loss_mask: 0.2296, loss: 0.6890 2024-06-02 11:07:58,102 - mmdet - INFO - Epoch [7][5900/7330] lr: 1.000e-04, eta: 9:26:05, time: 0.911, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0434, loss_cls: 0.1837, acc: 93.2256, loss_bbox: 0.2331, loss_mask: 0.2319, loss: 0.7091 2024-06-02 11:08:46,122 - mmdet - INFO - Epoch [7][5950/7330] lr: 1.000e-04, eta: 9:25:23, time: 0.960, data_time: 0.082, memory: 18040, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0452, loss_cls: 0.1829, acc: 93.1770, loss_bbox: 0.2358, loss_mask: 0.2329, loss: 0.7159 2024-06-02 11:09:33,992 - mmdet - INFO - Epoch [7][6000/7330] lr: 1.000e-04, eta: 9:24:40, time: 0.958, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0441, loss_cls: 0.1811, acc: 93.3445, loss_bbox: 0.2303, loss_mask: 0.2317, loss: 0.7048 2024-06-02 11:10:20,031 - mmdet - INFO - Epoch [7][6050/7330] lr: 1.000e-04, eta: 9:23:57, time: 0.921, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0466, loss_cls: 0.1825, acc: 93.2969, loss_bbox: 0.2313, loss_mask: 0.2390, loss: 0.7163 2024-06-02 11:11:03,453 - mmdet - INFO - Epoch [7][6100/7330] lr: 1.000e-04, eta: 9:23:11, time: 0.868, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0432, loss_cls: 0.1763, acc: 93.4856, loss_bbox: 0.2255, loss_mask: 0.2301, loss: 0.6925 2024-06-02 11:11:49,165 - mmdet - INFO - Epoch [7][6150/7330] lr: 1.000e-04, eta: 9:22:28, time: 0.914, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0440, loss_cls: 0.1825, acc: 93.1716, loss_bbox: 0.2336, loss_mask: 0.2331, loss: 0.7101 2024-06-02 11:12:35,374 - mmdet - INFO - Epoch [7][6200/7330] lr: 1.000e-04, eta: 9:21:44, time: 0.924, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0455, loss_cls: 0.1832, acc: 93.2158, loss_bbox: 0.2351, loss_mask: 0.2368, loss: 0.7187 2024-06-02 11:13:19,390 - mmdet - INFO - Epoch [7][6250/7330] lr: 1.000e-04, eta: 9:20:59, time: 0.880, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0416, loss_cls: 0.1726, acc: 93.5630, loss_bbox: 0.2247, loss_mask: 0.2359, loss: 0.6929 2024-06-02 11:14:03,415 - mmdet - INFO - Epoch [7][6300/7330] lr: 1.000e-04, eta: 9:20:14, time: 0.881, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0430, loss_cls: 0.1792, acc: 93.3076, loss_bbox: 0.2343, loss_mask: 0.2334, loss: 0.7063 2024-06-02 11:14:46,451 - mmdet - INFO - Epoch [7][6350/7330] lr: 1.000e-04, eta: 9:19:28, time: 0.861, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0400, loss_cls: 0.1702, acc: 93.6960, loss_bbox: 0.2186, loss_mask: 0.2303, loss: 0.6741 2024-06-02 11:15:31,962 - mmdet - INFO - Epoch [7][6400/7330] lr: 1.000e-04, eta: 9:18:45, time: 0.910, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0420, loss_cls: 0.1730, acc: 93.5251, loss_bbox: 0.2233, loss_mask: 0.2305, loss: 0.6867 2024-06-02 11:16:18,036 - mmdet - INFO - Epoch [7][6450/7330] lr: 1.000e-04, eta: 9:18:01, time: 0.922, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0403, loss_cls: 0.1735, acc: 93.5225, loss_bbox: 0.2223, loss_mask: 0.2275, loss: 0.6794 2024-06-02 11:17:07,664 - mmdet - INFO - Epoch [7][6500/7330] lr: 1.000e-04, eta: 9:17:20, time: 0.992, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0392, loss_cls: 0.1751, acc: 93.5032, loss_bbox: 0.2262, loss_mask: 0.2358, loss: 0.6933 2024-06-02 11:17:51,700 - mmdet - INFO - Epoch [7][6550/7330] lr: 1.000e-04, eta: 9:16:35, time: 0.881, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0443, loss_cls: 0.1822, acc: 93.3230, loss_bbox: 0.2331, loss_mask: 0.2341, loss: 0.7108 2024-06-02 11:18:34,934 - mmdet - INFO - Epoch [7][6600/7330] lr: 1.000e-04, eta: 9:15:49, time: 0.864, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0408, loss_cls: 0.1823, acc: 93.3296, loss_bbox: 0.2305, loss_mask: 0.2322, loss: 0.7020 2024-06-02 11:19:22,424 - mmdet - INFO - Epoch [7][6650/7330] lr: 1.000e-04, eta: 9:15:07, time: 0.950, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0434, loss_cls: 0.1764, acc: 93.4077, loss_bbox: 0.2264, loss_mask: 0.2314, loss: 0.6949 2024-06-02 11:20:08,066 - mmdet - INFO - Epoch [7][6700/7330] lr: 1.000e-04, eta: 9:14:23, time: 0.913, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0410, loss_cls: 0.1763, acc: 93.4922, loss_bbox: 0.2223, loss_mask: 0.2299, loss: 0.6847 2024-06-02 11:20:50,654 - mmdet - INFO - Epoch [7][6750/7330] lr: 1.000e-04, eta: 9:13:37, time: 0.852, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0414, loss_cls: 0.1827, acc: 93.3062, loss_bbox: 0.2296, loss_mask: 0.2368, loss: 0.7074 2024-06-02 11:21:33,619 - mmdet - INFO - Epoch [7][6800/7330] lr: 1.000e-04, eta: 9:12:51, time: 0.859, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0453, loss_cls: 0.1848, acc: 93.0857, loss_bbox: 0.2424, loss_mask: 0.2407, loss: 0.7305 2024-06-02 11:22:17,374 - mmdet - INFO - Epoch [7][6850/7330] lr: 1.000e-04, eta: 9:12:06, time: 0.875, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0409, loss_cls: 0.1680, acc: 93.7737, loss_bbox: 0.2156, loss_mask: 0.2238, loss: 0.6642 2024-06-02 11:23:01,246 - mmdet - INFO - Epoch [7][6900/7330] lr: 1.000e-04, eta: 9:11:21, time: 0.878, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0464, loss_cls: 0.1872, acc: 93.0740, loss_bbox: 0.2390, loss_mask: 0.2399, loss: 0.7296 2024-06-02 11:23:46,786 - mmdet - INFO - Epoch [7][6950/7330] lr: 1.000e-04, eta: 9:10:37, time: 0.911, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0447, loss_cls: 0.1783, acc: 93.3770, loss_bbox: 0.2326, loss_mask: 0.2361, loss: 0.7104 2024-06-02 11:24:32,615 - mmdet - INFO - Epoch [7][7000/7330] lr: 1.000e-04, eta: 9:09:53, time: 0.917, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0415, loss_cls: 0.1751, acc: 93.5547, loss_bbox: 0.2216, loss_mask: 0.2294, loss: 0.6840 2024-06-02 11:25:18,712 - mmdet - INFO - Epoch [7][7050/7330] lr: 1.000e-04, eta: 9:09:10, time: 0.922, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0423, loss_cls: 0.1814, acc: 93.2200, loss_bbox: 0.2352, loss_mask: 0.2362, loss: 0.7130 2024-06-02 11:26:06,044 - mmdet - INFO - Epoch [7][7100/7330] lr: 1.000e-04, eta: 9:08:27, time: 0.947, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0396, loss_cls: 0.1636, acc: 93.9602, loss_bbox: 0.2093, loss_mask: 0.2245, loss: 0.6516 2024-06-02 11:26:52,162 - mmdet - INFO - Epoch [7][7150/7330] lr: 1.000e-04, eta: 9:07:43, time: 0.922, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0432, loss_cls: 0.1810, acc: 93.3237, loss_bbox: 0.2311, loss_mask: 0.2303, loss: 0.7024 2024-06-02 11:27:35,754 - mmdet - INFO - Epoch [7][7200/7330] lr: 1.000e-04, eta: 9:06:58, time: 0.872, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0442, loss_cls: 0.1817, acc: 93.2356, loss_bbox: 0.2347, loss_mask: 0.2324, loss: 0.7108 2024-06-02 11:28:20,804 - mmdet - INFO - Epoch [7][7250/7330] lr: 1.000e-04, eta: 9:06:14, time: 0.901, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0430, loss_cls: 0.1761, acc: 93.4082, loss_bbox: 0.2256, loss_mask: 0.2302, loss: 0.6924 2024-06-02 11:29:03,752 - mmdet - INFO - Epoch [7][7300/7330] lr: 1.000e-04, eta: 9:05:28, time: 0.859, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0421, loss_cls: 0.1755, acc: 93.5098, loss_bbox: 0.2261, loss_mask: 0.2266, loss: 0.6872 2024-06-02 11:29:32,971 - mmdet - INFO - Saving checkpoint at 7 epochs 2024-06-02 11:31:39,949 - mmdet - INFO - Evaluating bbox... 2024-06-02 11:32:03,760 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.457 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.693 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.502 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.283 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.494 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.623 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 ] = 0.391 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 ] = 0.742 2024-06-02 11:32:03,760 - mmdet - INFO - Evaluating segm... 2024-06-02 11:32:33,002 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.413 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.659 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.439 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.205 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.445 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 ] = 0.529 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.529 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.529 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.322 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.574 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.713 2024-06-02 11:32:33,489 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 11:32:33,491 - mmdet - INFO - Epoch(val) [7][625] bbox_mAP: 0.4570, bbox_mAP_50: 0.6930, bbox_mAP_75: 0.5020, bbox_mAP_s: 0.2830, bbox_mAP_m: 0.4940, bbox_mAP_l: 0.6230, bbox_mAP_copypaste: 0.457 0.693 0.502 0.283 0.494 0.623, segm_mAP: 0.4130, segm_mAP_50: 0.6590, segm_mAP_75: 0.4390, segm_mAP_s: 0.2050, segm_mAP_m: 0.4450, segm_mAP_l: 0.6280, segm_mAP_copypaste: 0.413 0.659 0.439 0.205 0.445 0.628 2024-06-02 11:33:30,234 - mmdet - INFO - Epoch [8][50/7330] lr: 1.000e-04, eta: 9:04:06, time: 1.134, data_time: 0.116, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0423, loss_cls: 0.1749, acc: 93.4895, loss_bbox: 0.2240, loss_mask: 0.2286, loss: 0.6857 2024-06-02 11:34:13,273 - mmdet - INFO - Epoch [8][100/7330] lr: 1.000e-04, eta: 9:03:20, time: 0.861, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0420, loss_cls: 0.1684, acc: 93.6475, loss_bbox: 0.2284, loss_mask: 0.2356, loss: 0.6905 2024-06-02 11:35:01,979 - mmdet - INFO - Epoch [8][150/7330] lr: 1.000e-04, eta: 9:02:39, time: 0.974, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0447, loss_cls: 0.1769, acc: 93.4080, loss_bbox: 0.2304, loss_mask: 0.2275, loss: 0.6948 2024-06-02 11:35:45,868 - mmdet - INFO - Epoch [8][200/7330] lr: 1.000e-04, eta: 9:01:54, time: 0.878, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0408, loss_cls: 0.1665, acc: 93.6797, loss_bbox: 0.2184, loss_mask: 0.2238, loss: 0.6649 2024-06-02 11:36:29,317 - mmdet - INFO - Epoch [8][250/7330] lr: 1.000e-04, eta: 9:01:08, time: 0.869, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0413, loss_cls: 0.1719, acc: 93.5496, loss_bbox: 0.2256, loss_mask: 0.2289, loss: 0.6828 2024-06-02 11:37:13,016 - mmdet - INFO - Epoch [8][300/7330] lr: 1.000e-04, eta: 9:00:23, time: 0.874, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0398, loss_cls: 0.1676, acc: 93.7266, loss_bbox: 0.2207, loss_mask: 0.2272, loss: 0.6680 2024-06-02 11:37:58,549 - mmdet - INFO - Epoch [8][350/7330] lr: 1.000e-04, eta: 8:59:39, time: 0.911, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0419, loss_cls: 0.1721, acc: 93.5374, loss_bbox: 0.2230, loss_mask: 0.2266, loss: 0.6791 2024-06-02 11:38:43,631 - mmdet - INFO - Epoch [8][400/7330] lr: 1.000e-04, eta: 8:58:55, time: 0.902, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0419, loss_cls: 0.1658, acc: 93.9128, loss_bbox: 0.2193, loss_mask: 0.2254, loss: 0.6669 2024-06-02 11:39:28,818 - mmdet - INFO - Epoch [8][450/7330] lr: 1.000e-04, eta: 8:58:11, time: 0.904, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0416, loss_cls: 0.1629, acc: 93.9094, loss_bbox: 0.2195, loss_mask: 0.2248, loss: 0.6642 2024-06-02 11:40:12,232 - mmdet - INFO - Epoch [8][500/7330] lr: 1.000e-04, eta: 8:57:25, time: 0.868, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0417, loss_cls: 0.1760, acc: 93.4761, loss_bbox: 0.2305, loss_mask: 0.2285, loss: 0.6929 2024-06-02 11:40:58,279 - mmdet - INFO - Epoch [8][550/7330] lr: 1.000e-04, eta: 8:56:42, time: 0.921, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0421, loss_cls: 0.1741, acc: 93.5283, loss_bbox: 0.2230, loss_mask: 0.2213, loss: 0.6754 2024-06-02 11:41:44,096 - mmdet - INFO - Epoch [8][600/7330] lr: 1.000e-04, eta: 8:55:58, time: 0.916, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0418, loss_cls: 0.1695, acc: 93.6321, loss_bbox: 0.2270, loss_mask: 0.2250, loss: 0.6787 2024-06-02 11:42:29,753 - mmdet - INFO - Epoch [8][650/7330] lr: 1.000e-04, eta: 8:55:14, time: 0.913, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0401, loss_cls: 0.1686, acc: 93.6606, loss_bbox: 0.2195, loss_mask: 0.2202, loss: 0.6621 2024-06-02 11:43:15,336 - mmdet - INFO - Epoch [8][700/7330] lr: 1.000e-04, eta: 8:54:30, time: 0.912, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0417, loss_cls: 0.1700, acc: 93.6326, loss_bbox: 0.2240, loss_mask: 0.2247, loss: 0.6745 2024-06-02 11:43:59,416 - mmdet - INFO - Epoch [8][750/7330] lr: 1.000e-04, eta: 8:53:45, time: 0.882, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0425, loss_cls: 0.1742, acc: 93.4224, loss_bbox: 0.2310, loss_mask: 0.2282, loss: 0.6918 2024-06-02 11:44:45,139 - mmdet - INFO - Epoch [8][800/7330] lr: 1.000e-04, eta: 8:53:01, time: 0.914, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0405, loss_cls: 0.1679, acc: 93.7017, loss_bbox: 0.2218, loss_mask: 0.2298, loss: 0.6748 2024-06-02 11:45:28,149 - mmdet - INFO - Epoch [8][850/7330] lr: 1.000e-04, eta: 8:52:16, time: 0.860, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0397, loss_cls: 0.1642, acc: 93.9058, loss_bbox: 0.2146, loss_mask: 0.2287, loss: 0.6623 2024-06-02 11:46:11,387 - mmdet - INFO - Epoch [8][900/7330] lr: 1.000e-04, eta: 8:51:30, time: 0.865, data_time: 0.037, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0398, loss_cls: 0.1675, acc: 93.7314, loss_bbox: 0.2183, loss_mask: 0.2237, loss: 0.6644 2024-06-02 11:46:57,031 - mmdet - INFO - Epoch [8][950/7330] lr: 1.000e-04, eta: 8:50:46, time: 0.913, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0387, loss_cls: 0.1613, acc: 93.9683, loss_bbox: 0.2146, loss_mask: 0.2200, loss: 0.6478 2024-06-02 11:47:42,844 - mmdet - INFO - Epoch [8][1000/7330] lr: 1.000e-04, eta: 8:50:02, time: 0.916, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0425, loss_cls: 0.1703, acc: 93.6121, loss_bbox: 0.2204, loss_mask: 0.2270, loss: 0.6753 2024-06-02 11:48:27,926 - mmdet - INFO - Epoch [8][1050/7330] lr: 1.000e-04, eta: 8:49:18, time: 0.902, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0401, loss_cls: 0.1642, acc: 93.8938, loss_bbox: 0.2148, loss_mask: 0.2213, loss: 0.6556 2024-06-02 11:49:14,353 - mmdet - INFO - Epoch [8][1100/7330] lr: 1.000e-04, eta: 8:48:35, time: 0.929, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0436, loss_cls: 0.1731, acc: 93.4041, loss_bbox: 0.2312, loss_mask: 0.2266, loss: 0.6895 2024-06-02 11:49:57,761 - mmdet - INFO - Epoch [8][1150/7330] lr: 1.000e-04, eta: 8:47:49, time: 0.868, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0412, loss_cls: 0.1643, acc: 93.8240, loss_bbox: 0.2167, loss_mask: 0.2265, loss: 0.6624 2024-06-02 11:50:43,306 - mmdet - INFO - Epoch [8][1200/7330] lr: 1.000e-04, eta: 8:47:05, time: 0.911, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0405, loss_cls: 0.1597, acc: 93.9604, loss_bbox: 0.2151, loss_mask: 0.2276, loss: 0.6579 2024-06-02 11:51:26,889 - mmdet - INFO - Epoch [8][1250/7330] lr: 1.000e-04, eta: 8:46:20, time: 0.872, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0419, loss_cls: 0.1759, acc: 93.4402, loss_bbox: 0.2273, loss_mask: 0.2277, loss: 0.6881 2024-06-02 11:52:15,118 - mmdet - INFO - Epoch [8][1300/7330] lr: 1.000e-04, eta: 8:45:38, time: 0.965, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0429, loss_cls: 0.1673, acc: 93.7898, loss_bbox: 0.2218, loss_mask: 0.2219, loss: 0.6688 2024-06-02 11:53:00,399 - mmdet - INFO - Epoch [8][1350/7330] lr: 1.000e-04, eta: 8:44:54, time: 0.906, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0403, loss_cls: 0.1648, acc: 93.8269, loss_bbox: 0.2155, loss_mask: 0.2251, loss: 0.6600 2024-06-02 11:53:43,737 - mmdet - INFO - Epoch [8][1400/7330] lr: 1.000e-04, eta: 8:44:08, time: 0.867, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0415, loss_cls: 0.1671, acc: 93.7261, loss_bbox: 0.2213, loss_mask: 0.2254, loss: 0.6698 2024-06-02 11:54:27,747 - mmdet - INFO - Epoch [8][1450/7330] lr: 1.000e-04, eta: 8:43:23, time: 0.880, data_time: 0.037, memory: 18040, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0410, loss_cls: 0.1658, acc: 93.7883, loss_bbox: 0.2187, loss_mask: 0.2264, loss: 0.6667 2024-06-02 11:55:11,551 - mmdet - INFO - Epoch [8][1500/7330] lr: 1.000e-04, eta: 8:42:38, time: 0.876, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0428, loss_cls: 0.1710, acc: 93.5415, loss_bbox: 0.2231, loss_mask: 0.2299, loss: 0.6821 2024-06-02 11:55:54,977 - mmdet - INFO - Epoch [8][1550/7330] lr: 1.000e-04, eta: 8:41:53, time: 0.869, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0423, loss_cls: 0.1728, acc: 93.4814, loss_bbox: 0.2268, loss_mask: 0.2278, loss: 0.6859 2024-06-02 11:56:44,766 - mmdet - INFO - Epoch [8][1600/7330] lr: 1.000e-04, eta: 8:41:11, time: 0.996, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0407, loss_cls: 0.1697, acc: 93.6934, loss_bbox: 0.2183, loss_mask: 0.2247, loss: 0.6697 2024-06-02 11:57:27,747 - mmdet - INFO - Epoch [8][1650/7330] lr: 1.000e-04, eta: 8:40:26, time: 0.860, data_time: 0.037, memory: 18040, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0368, loss_cls: 0.1589, acc: 94.0801, loss_bbox: 0.2083, loss_mask: 0.2199, loss: 0.6379 2024-06-02 11:58:14,829 - mmdet - INFO - Epoch [8][1700/7330] lr: 1.000e-04, eta: 8:39:43, time: 0.942, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0455, loss_cls: 0.1749, acc: 93.4214, loss_bbox: 0.2292, loss_mask: 0.2283, loss: 0.6946 2024-06-02 11:58:58,571 - mmdet - INFO - Epoch [8][1750/7330] lr: 1.000e-04, eta: 8:38:58, time: 0.875, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0386, loss_cls: 0.1711, acc: 93.6504, loss_bbox: 0.2186, loss_mask: 0.2262, loss: 0.6701 2024-06-02 11:59:44,400 - mmdet - INFO - Epoch [8][1800/7330] lr: 1.000e-04, eta: 8:38:14, time: 0.917, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0414, loss_cls: 0.1683, acc: 93.7605, loss_bbox: 0.2176, loss_mask: 0.2277, loss: 0.6703 2024-06-02 12:00:32,665 - mmdet - INFO - Epoch [8][1850/7330] lr: 1.000e-04, eta: 8:37:32, time: 0.965, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0431, loss_cls: 0.1724, acc: 93.4939, loss_bbox: 0.2263, loss_mask: 0.2318, loss: 0.6902 2024-06-02 12:01:18,026 - mmdet - INFO - Epoch [8][1900/7330] lr: 1.000e-04, eta: 8:36:47, time: 0.908, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0411, loss_cls: 0.1701, acc: 93.5591, loss_bbox: 0.2263, loss_mask: 0.2250, loss: 0.6765 2024-06-02 12:02:00,690 - mmdet - INFO - Epoch [8][1950/7330] lr: 1.000e-04, eta: 8:36:02, time: 0.853, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0394, loss_cls: 0.1621, acc: 93.9907, loss_bbox: 0.2153, loss_mask: 0.2239, loss: 0.6553 2024-06-02 12:02:43,712 - mmdet - INFO - Epoch [8][2000/7330] lr: 1.000e-04, eta: 8:35:16, time: 0.861, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0386, loss_cls: 0.1618, acc: 93.9688, loss_bbox: 0.2144, loss_mask: 0.2240, loss: 0.6531 2024-06-02 12:03:27,121 - mmdet - INFO - Epoch [8][2050/7330] lr: 1.000e-04, eta: 8:34:31, time: 0.868, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0437, loss_cls: 0.1766, acc: 93.3501, loss_bbox: 0.2297, loss_mask: 0.2297, loss: 0.6964 2024-06-02 12:04:15,337 - mmdet - INFO - Epoch [8][2100/7330] lr: 1.000e-04, eta: 8:33:48, time: 0.964, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0406, loss_cls: 0.1648, acc: 93.8625, loss_bbox: 0.2162, loss_mask: 0.2276, loss: 0.6651 2024-06-02 12:04:59,070 - mmdet - INFO - Epoch [8][2150/7330] lr: 1.000e-04, eta: 8:33:03, time: 0.875, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0439, loss_cls: 0.1771, acc: 93.3518, loss_bbox: 0.2309, loss_mask: 0.2331, loss: 0.7010 2024-06-02 12:05:44,407 - mmdet - INFO - Epoch [8][2200/7330] lr: 1.000e-04, eta: 8:32:19, time: 0.907, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0430, loss_cls: 0.1701, acc: 93.6765, loss_bbox: 0.2253, loss_mask: 0.2322, loss: 0.6865 2024-06-02 12:06:28,242 - mmdet - INFO - Epoch [8][2250/7330] lr: 1.000e-04, eta: 8:31:34, time: 0.877, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0426, loss_cls: 0.1748, acc: 93.4683, loss_bbox: 0.2283, loss_mask: 0.2292, loss: 0.6910 2024-06-02 12:07:17,952 - mmdet - INFO - Epoch [8][2300/7330] lr: 1.000e-04, eta: 8:30:52, time: 0.994, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0448, loss_cls: 0.1730, acc: 93.5129, loss_bbox: 0.2270, loss_mask: 0.2264, loss: 0.6881 2024-06-02 12:08:04,522 - mmdet - INFO - Epoch [8][2350/7330] lr: 1.000e-04, eta: 8:30:09, time: 0.931, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0413, loss_cls: 0.1761, acc: 93.4722, loss_bbox: 0.2276, loss_mask: 0.2266, loss: 0.6882 2024-06-02 12:08:50,380 - mmdet - INFO - Epoch [8][2400/7330] lr: 1.000e-04, eta: 8:29:25, time: 0.917, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0404, loss_cls: 0.1616, acc: 93.9612, loss_bbox: 0.2141, loss_mask: 0.2245, loss: 0.6557 2024-06-02 12:09:35,343 - mmdet - INFO - Epoch [8][2450/7330] lr: 1.000e-04, eta: 8:28:41, time: 0.899, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0424, loss_cls: 0.1754, acc: 93.4763, loss_bbox: 0.2326, loss_mask: 0.2310, loss: 0.6981 2024-06-02 12:10:19,110 - mmdet - INFO - Epoch [8][2500/7330] lr: 1.000e-04, eta: 8:27:56, time: 0.875, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0447, loss_cls: 0.1754, acc: 93.3633, loss_bbox: 0.2297, loss_mask: 0.2317, loss: 0.6968 2024-06-02 12:11:02,197 - mmdet - INFO - Epoch [8][2550/7330] lr: 1.000e-04, eta: 8:27:10, time: 0.862, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0442, loss_cls: 0.1799, acc: 93.3486, loss_bbox: 0.2323, loss_mask: 0.2291, loss: 0.7021 2024-06-02 12:11:44,949 - mmdet - INFO - Epoch [8][2600/7330] lr: 1.000e-04, eta: 8:26:24, time: 0.855, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0398, loss_cls: 0.1604, acc: 94.0171, loss_bbox: 0.2115, loss_mask: 0.2238, loss: 0.6503 2024-06-02 12:12:33,125 - mmdet - INFO - Epoch [8][2650/7330] lr: 1.000e-04, eta: 8:25:42, time: 0.964, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0425, loss_cls: 0.1667, acc: 93.7847, loss_bbox: 0.2240, loss_mask: 0.2272, loss: 0.6762 2024-06-02 12:13:16,383 - mmdet - INFO - Epoch [8][2700/7330] lr: 1.000e-04, eta: 8:24:56, time: 0.865, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0406, loss_cls: 0.1664, acc: 93.7952, loss_bbox: 0.2203, loss_mask: 0.2287, loss: 0.6697 2024-06-02 12:13:59,650 - mmdet - INFO - Epoch [8][2750/7330] lr: 1.000e-04, eta: 8:24:11, time: 0.865, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0409, loss_cls: 0.1648, acc: 93.8345, loss_bbox: 0.2167, loss_mask: 0.2237, loss: 0.6614 2024-06-02 12:14:45,997 - mmdet - INFO - Epoch [8][2800/7330] lr: 1.000e-04, eta: 8:23:27, time: 0.927, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0438, loss_cls: 0.1755, acc: 93.3726, loss_bbox: 0.2340, loss_mask: 0.2325, loss: 0.7026 2024-06-02 12:15:37,648 - mmdet - INFO - Epoch [8][2850/7330] lr: 1.000e-04, eta: 8:22:47, time: 1.033, data_time: 0.066, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0420, loss_cls: 0.1716, acc: 93.6323, loss_bbox: 0.2226, loss_mask: 0.2231, loss: 0.6754 2024-06-02 12:16:23,040 - mmdet - INFO - Epoch [8][2900/7330] lr: 1.000e-04, eta: 8:22:03, time: 0.908, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0411, loss_cls: 0.1690, acc: 93.6265, loss_bbox: 0.2171, loss_mask: 0.2223, loss: 0.6644 2024-06-02 12:17:06,830 - mmdet - INFO - Epoch [8][2950/7330] lr: 1.000e-04, eta: 8:21:18, time: 0.876, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0418, loss_cls: 0.1658, acc: 93.8081, loss_bbox: 0.2207, loss_mask: 0.2252, loss: 0.6682 2024-06-02 12:17:49,959 - mmdet - INFO - Epoch [8][3000/7330] lr: 1.000e-04, eta: 8:20:32, time: 0.863, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0409, loss_cls: 0.1692, acc: 93.7388, loss_bbox: 0.2174, loss_mask: 0.2202, loss: 0.6630 2024-06-02 12:18:35,167 - mmdet - INFO - Epoch [8][3050/7330] lr: 1.000e-04, eta: 8:19:48, time: 0.904, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0383, loss_cls: 0.1636, acc: 93.8696, loss_bbox: 0.2152, loss_mask: 0.2279, loss: 0.6588 2024-06-02 12:19:18,180 - mmdet - INFO - Epoch [8][3100/7330] lr: 1.000e-04, eta: 8:19:02, time: 0.860, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0415, loss_cls: 0.1666, acc: 93.7068, loss_bbox: 0.2161, loss_mask: 0.2284, loss: 0.6673 2024-06-02 12:20:05,895 - mmdet - INFO - Epoch [8][3150/7330] lr: 1.000e-04, eta: 8:18:20, time: 0.954, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0383, loss_cls: 0.1682, acc: 93.6445, loss_bbox: 0.2185, loss_mask: 0.2223, loss: 0.6635 2024-06-02 12:20:49,302 - mmdet - INFO - Epoch [8][3200/7330] lr: 1.000e-04, eta: 8:17:34, time: 0.868, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0449, loss_cls: 0.1782, acc: 93.3359, loss_bbox: 0.2341, loss_mask: 0.2309, loss: 0.7039 2024-06-02 12:21:33,444 - mmdet - INFO - Epoch [8][3250/7330] lr: 1.000e-04, eta: 8:16:49, time: 0.883, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0425, loss_cls: 0.1674, acc: 93.6411, loss_bbox: 0.2183, loss_mask: 0.2239, loss: 0.6669 2024-06-02 12:22:17,215 - mmdet - INFO - Epoch [8][3300/7330] lr: 1.000e-04, eta: 8:16:04, time: 0.875, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0413, loss_cls: 0.1679, acc: 93.6816, loss_bbox: 0.2205, loss_mask: 0.2312, loss: 0.6756 2024-06-02 12:23:00,571 - mmdet - INFO - Epoch [8][3350/7330] lr: 1.000e-04, eta: 8:15:19, time: 0.867, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0427, loss_cls: 0.1733, acc: 93.4915, loss_bbox: 0.2225, loss_mask: 0.2212, loss: 0.6760 2024-06-02 12:23:45,386 - mmdet - INFO - Epoch [8][3400/7330] lr: 1.000e-04, eta: 8:14:34, time: 0.896, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0401, loss_cls: 0.1692, acc: 93.6694, loss_bbox: 0.2151, loss_mask: 0.2269, loss: 0.6662 2024-06-02 12:24:37,004 - mmdet - INFO - Epoch [8][3450/7330] lr: 1.000e-04, eta: 8:13:54, time: 1.032, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0406, loss_cls: 0.1642, acc: 93.9202, loss_bbox: 0.2136, loss_mask: 0.2218, loss: 0.6556 2024-06-02 12:25:21,885 - mmdet - INFO - Epoch [8][3500/7330] lr: 1.000e-04, eta: 8:13:10, time: 0.898, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0396, loss_cls: 0.1676, acc: 93.7502, loss_bbox: 0.2225, loss_mask: 0.2244, loss: 0.6698 2024-06-02 12:26:04,768 - mmdet - INFO - Epoch [8][3550/7330] lr: 1.000e-04, eta: 8:12:24, time: 0.858, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0405, loss_cls: 0.1647, acc: 93.7395, loss_bbox: 0.2166, loss_mask: 0.2257, loss: 0.6626 2024-06-02 12:26:47,706 - mmdet - INFO - Epoch [8][3600/7330] lr: 1.000e-04, eta: 8:11:38, time: 0.859, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0412, loss_cls: 0.1675, acc: 93.6189, loss_bbox: 0.2230, loss_mask: 0.2301, loss: 0.6767 2024-06-02 12:27:33,211 - mmdet - INFO - Epoch [8][3650/7330] lr: 1.000e-04, eta: 8:10:54, time: 0.910, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0421, loss_cls: 0.1781, acc: 93.2395, loss_bbox: 0.2313, loss_mask: 0.2312, loss: 0.6979 2024-06-02 12:28:18,764 - mmdet - INFO - Epoch [8][3700/7330] lr: 1.000e-04, eta: 8:10:10, time: 0.911, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0425, loss_cls: 0.1742, acc: 93.5171, loss_bbox: 0.2247, loss_mask: 0.2247, loss: 0.6838 2024-06-02 12:29:04,969 - mmdet - INFO - Epoch [8][3750/7330] lr: 1.000e-04, eta: 8:09:26, time: 0.924, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0425, loss_cls: 0.1745, acc: 93.4910, loss_bbox: 0.2249, loss_mask: 0.2241, loss: 0.6818 2024-06-02 12:29:48,560 - mmdet - INFO - Epoch [8][3800/7330] lr: 1.000e-04, eta: 8:08:41, time: 0.872, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0428, loss_cls: 0.1728, acc: 93.5996, loss_bbox: 0.2231, loss_mask: 0.2283, loss: 0.6825 2024-06-02 12:30:31,771 - mmdet - INFO - Epoch [8][3850/7330] lr: 1.000e-04, eta: 8:07:56, time: 0.864, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0418, loss_cls: 0.1750, acc: 93.4385, loss_bbox: 0.2238, loss_mask: 0.2231, loss: 0.6798 2024-06-02 12:31:15,110 - mmdet - INFO - Epoch [8][3900/7330] lr: 1.000e-04, eta: 8:07:10, time: 0.867, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0418, loss_cls: 0.1782, acc: 93.4158, loss_bbox: 0.2298, loss_mask: 0.2306, loss: 0.6971 2024-06-02 12:31:58,701 - mmdet - INFO - Epoch [8][3950/7330] lr: 1.000e-04, eta: 8:06:25, time: 0.872, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0425, loss_cls: 0.1738, acc: 93.4568, loss_bbox: 0.2286, loss_mask: 0.2288, loss: 0.6886 2024-06-02 12:32:47,309 - mmdet - INFO - Epoch [8][4000/7330] lr: 1.000e-04, eta: 8:05:43, time: 0.972, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0427, loss_cls: 0.1774, acc: 93.3594, loss_bbox: 0.2296, loss_mask: 0.2323, loss: 0.6990 2024-06-02 12:33:35,137 - mmdet - INFO - Epoch [8][4050/7330] lr: 1.000e-04, eta: 8:05:00, time: 0.956, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0429, loss_cls: 0.1700, acc: 93.6921, loss_bbox: 0.2218, loss_mask: 0.2293, loss: 0.6798 2024-06-02 12:34:18,210 - mmdet - INFO - Epoch [8][4100/7330] lr: 1.000e-04, eta: 8:04:14, time: 0.862, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0408, loss_cls: 0.1674, acc: 93.7275, loss_bbox: 0.2202, loss_mask: 0.2290, loss: 0.6722 2024-06-02 12:35:03,726 - mmdet - INFO - Epoch [8][4150/7330] lr: 1.000e-04, eta: 8:03:30, time: 0.910, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0446, loss_cls: 0.1791, acc: 93.2236, loss_bbox: 0.2331, loss_mask: 0.2345, loss: 0.7083 2024-06-02 12:35:49,091 - mmdet - INFO - Epoch [8][4200/7330] lr: 1.000e-04, eta: 8:02:46, time: 0.907, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0420, loss_cls: 0.1754, acc: 93.3899, loss_bbox: 0.2320, loss_mask: 0.2335, loss: 0.6987 2024-06-02 12:36:32,245 - mmdet - INFO - Epoch [8][4250/7330] lr: 1.000e-04, eta: 8:02:01, time: 0.863, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0416, loss_cls: 0.1718, acc: 93.5918, loss_bbox: 0.2239, loss_mask: 0.2297, loss: 0.6828 2024-06-02 12:37:17,773 - mmdet - INFO - Epoch [8][4300/7330] lr: 1.000e-04, eta: 8:01:16, time: 0.911, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0415, loss_cls: 0.1692, acc: 93.6790, loss_bbox: 0.2252, loss_mask: 0.2232, loss: 0.6746 2024-06-02 12:38:01,182 - mmdet - INFO - Epoch [8][4350/7330] lr: 1.000e-04, eta: 8:00:31, time: 0.868, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0432, loss_cls: 0.1771, acc: 93.3577, loss_bbox: 0.2291, loss_mask: 0.2284, loss: 0.6946 2024-06-02 12:38:46,700 - mmdet - INFO - Epoch [8][4400/7330] lr: 1.000e-04, eta: 7:59:47, time: 0.910, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0431, loss_cls: 0.1776, acc: 93.4341, loss_bbox: 0.2300, loss_mask: 0.2252, loss: 0.6921 2024-06-02 12:39:29,806 - mmdet - INFO - Epoch [8][4450/7330] lr: 1.000e-04, eta: 7:59:02, time: 0.862, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0430, loss_cls: 0.1691, acc: 93.6431, loss_bbox: 0.2209, loss_mask: 0.2290, loss: 0.6789 2024-06-02 12:40:14,700 - mmdet - INFO - Epoch [8][4500/7330] lr: 1.000e-04, eta: 7:58:17, time: 0.898, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0424, loss_cls: 0.1743, acc: 93.5574, loss_bbox: 0.2269, loss_mask: 0.2248, loss: 0.6851 2024-06-02 12:41:03,141 - mmdet - INFO - Epoch [8][4550/7330] lr: 1.000e-04, eta: 7:57:35, time: 0.969, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0423, loss_cls: 0.1697, acc: 93.8098, loss_bbox: 0.2198, loss_mask: 0.2218, loss: 0.6693 2024-06-02 12:41:49,646 - mmdet - INFO - Epoch [8][4600/7330] lr: 1.000e-04, eta: 7:56:51, time: 0.930, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0436, loss_cls: 0.1708, acc: 93.5500, loss_bbox: 0.2258, loss_mask: 0.2285, loss: 0.6847 2024-06-02 12:42:33,011 - mmdet - INFO - Epoch [8][4650/7330] lr: 1.000e-04, eta: 7:56:06, time: 0.867, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0415, loss_cls: 0.1729, acc: 93.5801, loss_bbox: 0.2239, loss_mask: 0.2248, loss: 0.6791 2024-06-02 12:43:15,579 - mmdet - INFO - Epoch [8][4700/7330] lr: 1.000e-04, eta: 7:55:20, time: 0.852, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0388, loss_cls: 0.1744, acc: 93.4375, loss_bbox: 0.2263, loss_mask: 0.2295, loss: 0.6842 2024-06-02 12:44:01,761 - mmdet - INFO - Epoch [8][4750/7330] lr: 1.000e-04, eta: 7:54:36, time: 0.923, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0398, loss_cls: 0.1713, acc: 93.6333, loss_bbox: 0.2201, loss_mask: 0.2270, loss: 0.6736 2024-06-02 12:44:44,452 - mmdet - INFO - Epoch [8][4800/7330] lr: 1.000e-04, eta: 7:53:50, time: 0.854, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0404, loss_cls: 0.1727, acc: 93.5540, loss_bbox: 0.2228, loss_mask: 0.2240, loss: 0.6759 2024-06-02 12:45:29,954 - mmdet - INFO - Epoch [8][4850/7330] lr: 1.000e-04, eta: 7:53:06, time: 0.910, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0423, loss_cls: 0.1728, acc: 93.6335, loss_bbox: 0.2213, loss_mask: 0.2283, loss: 0.6792 2024-06-02 12:46:16,854 - mmdet - INFO - Epoch [8][4900/7330] lr: 1.000e-04, eta: 7:52:23, time: 0.938, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0397, loss_cls: 0.1681, acc: 93.8708, loss_bbox: 0.2152, loss_mask: 0.2242, loss: 0.6625 2024-06-02 12:46:59,387 - mmdet - INFO - Epoch [8][4950/7330] lr: 1.000e-04, eta: 7:51:37, time: 0.851, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0397, loss_cls: 0.1692, acc: 93.7490, loss_bbox: 0.2198, loss_mask: 0.2282, loss: 0.6718 2024-06-02 12:47:43,601 - mmdet - INFO - Epoch [8][5000/7330] lr: 1.000e-04, eta: 7:50:52, time: 0.884, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0438, loss_cls: 0.1779, acc: 93.3245, loss_bbox: 0.2267, loss_mask: 0.2291, loss: 0.6948 2024-06-02 12:48:28,717 - mmdet - INFO - Epoch [8][5050/7330] lr: 1.000e-04, eta: 7:50:08, time: 0.902, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0403, loss_cls: 0.1588, acc: 94.1838, loss_bbox: 0.2093, loss_mask: 0.2206, loss: 0.6449 2024-06-02 12:49:16,708 - mmdet - INFO - Epoch [8][5100/7330] lr: 1.000e-04, eta: 7:49:25, time: 0.960, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0406, loss_cls: 0.1642, acc: 93.7822, loss_bbox: 0.2184, loss_mask: 0.2280, loss: 0.6661 2024-06-02 12:49:59,289 - mmdet - INFO - Epoch [8][5150/7330] lr: 1.000e-04, eta: 7:48:39, time: 0.852, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0395, loss_cls: 0.1617, acc: 93.9802, loss_bbox: 0.2081, loss_mask: 0.2234, loss: 0.6483 2024-06-02 12:50:43,847 - mmdet - INFO - Epoch [8][5200/7330] lr: 1.000e-04, eta: 7:47:55, time: 0.891, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0400, loss_cls: 0.1653, acc: 93.8003, loss_bbox: 0.2137, loss_mask: 0.2219, loss: 0.6557 2024-06-02 12:51:27,144 - mmdet - INFO - Epoch [8][5250/7330] lr: 1.000e-04, eta: 7:47:09, time: 0.866, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0417, loss_cls: 0.1711, acc: 93.6643, loss_bbox: 0.2220, loss_mask: 0.2284, loss: 0.6784 2024-06-02 12:52:10,826 - mmdet - INFO - Epoch [8][5300/7330] lr: 1.000e-04, eta: 7:46:24, time: 0.874, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0445, loss_cls: 0.1745, acc: 93.4602, loss_bbox: 0.2326, loss_mask: 0.2265, loss: 0.6946 2024-06-02 12:52:58,838 - mmdet - INFO - Epoch [8][5350/7330] lr: 1.000e-04, eta: 7:45:41, time: 0.960, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0429, loss_cls: 0.1677, acc: 93.7209, loss_bbox: 0.2230, loss_mask: 0.2242, loss: 0.6733 2024-06-02 12:53:41,126 - mmdet - INFO - Epoch [8][5400/7330] lr: 1.000e-04, eta: 7:44:55, time: 0.846, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0414, loss_cls: 0.1716, acc: 93.6875, loss_bbox: 0.2189, loss_mask: 0.2265, loss: 0.6727 2024-06-02 12:54:28,737 - mmdet - INFO - Epoch [8][5450/7330] lr: 1.000e-04, eta: 7:44:12, time: 0.952, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0461, loss_cls: 0.1828, acc: 93.2917, loss_bbox: 0.2332, loss_mask: 0.2298, loss: 0.7096 2024-06-02 12:55:11,450 - mmdet - INFO - Epoch [8][5500/7330] lr: 1.000e-04, eta: 7:43:27, time: 0.854, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0412, loss_cls: 0.1698, acc: 93.6797, loss_bbox: 0.2175, loss_mask: 0.2281, loss: 0.6714 2024-06-02 12:55:55,231 - mmdet - INFO - Epoch [8][5550/7330] lr: 1.000e-04, eta: 7:42:42, time: 0.876, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0439, loss_cls: 0.1809, acc: 93.2698, loss_bbox: 0.2354, loss_mask: 0.2324, loss: 0.7102 2024-06-02 12:56:38,208 - mmdet - INFO - Epoch [8][5600/7330] lr: 1.000e-04, eta: 7:41:56, time: 0.860, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0414, loss_cls: 0.1730, acc: 93.6177, loss_bbox: 0.2172, loss_mask: 0.2293, loss: 0.6772 2024-06-02 12:57:28,460 - mmdet - INFO - Epoch [8][5650/7330] lr: 1.000e-04, eta: 7:41:14, time: 1.005, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0435, loss_cls: 0.1725, acc: 93.5564, loss_bbox: 0.2226, loss_mask: 0.2274, loss: 0.6809 2024-06-02 12:58:11,792 - mmdet - INFO - Epoch [8][5700/7330] lr: 1.000e-04, eta: 7:40:29, time: 0.867, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0445, loss_cls: 0.1789, acc: 93.3247, loss_bbox: 0.2342, loss_mask: 0.2287, loss: 0.7020 2024-06-02 12:58:54,371 - mmdet - INFO - Epoch [8][5750/7330] lr: 1.000e-04, eta: 7:39:43, time: 0.851, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0423, loss_cls: 0.1717, acc: 93.4963, loss_bbox: 0.2221, loss_mask: 0.2289, loss: 0.6821 2024-06-02 12:59:39,472 - mmdet - INFO - Epoch [8][5800/7330] lr: 1.000e-04, eta: 7:38:59, time: 0.902, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0399, loss_cls: 0.1702, acc: 93.5869, loss_bbox: 0.2201, loss_mask: 0.2254, loss: 0.6708 2024-06-02 13:00:22,195 - mmdet - INFO - Epoch [8][5850/7330] lr: 1.000e-04, eta: 7:38:13, time: 0.854, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0388, loss_cls: 0.1648, acc: 93.8679, loss_bbox: 0.2158, loss_mask: 0.2300, loss: 0.6638 2024-06-02 13:01:07,348 - mmdet - INFO - Epoch [8][5900/7330] lr: 1.000e-04, eta: 7:37:29, time: 0.903, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0402, loss_cls: 0.1645, acc: 93.9031, loss_bbox: 0.2138, loss_mask: 0.2250, loss: 0.6586 2024-06-02 13:01:52,397 - mmdet - INFO - Epoch [8][5950/7330] lr: 1.000e-04, eta: 7:36:45, time: 0.901, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0399, loss_cls: 0.1698, acc: 93.6680, loss_bbox: 0.2192, loss_mask: 0.2238, loss: 0.6681 2024-06-02 13:02:37,675 - mmdet - INFO - Epoch [8][6000/7330] lr: 1.000e-04, eta: 7:36:00, time: 0.906, data_time: 0.067, memory: 18040, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0413, loss_cls: 0.1692, acc: 93.6606, loss_bbox: 0.2252, loss_mask: 0.2264, loss: 0.6773 2024-06-02 13:03:22,921 - mmdet - INFO - Epoch [8][6050/7330] lr: 1.000e-04, eta: 7:35:16, time: 0.905, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0430, loss_cls: 0.1704, acc: 93.5300, loss_bbox: 0.2288, loss_mask: 0.2289, loss: 0.6858 2024-06-02 13:04:05,723 - mmdet - INFO - Epoch [8][6100/7330] lr: 1.000e-04, eta: 7:34:30, time: 0.856, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0411, loss_cls: 0.1679, acc: 93.7388, loss_bbox: 0.2214, loss_mask: 0.2236, loss: 0.6694 2024-06-02 13:04:54,559 - mmdet - INFO - Epoch [8][6150/7330] lr: 1.000e-04, eta: 7:33:48, time: 0.977, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0415, loss_cls: 0.1735, acc: 93.5520, loss_bbox: 0.2237, loss_mask: 0.2260, loss: 0.6796 2024-06-02 13:05:40,527 - mmdet - INFO - Epoch [8][6200/7330] lr: 1.000e-04, eta: 7:33:04, time: 0.919, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0427, loss_cls: 0.1724, acc: 93.5061, loss_bbox: 0.2269, loss_mask: 0.2252, loss: 0.6836 2024-06-02 13:06:23,513 - mmdet - INFO - Epoch [8][6250/7330] lr: 1.000e-04, eta: 7:32:19, time: 0.860, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0407, loss_cls: 0.1633, acc: 93.8928, loss_bbox: 0.2180, loss_mask: 0.2268, loss: 0.6644 2024-06-02 13:07:05,783 - mmdet - INFO - Epoch [8][6300/7330] lr: 1.000e-04, eta: 7:31:33, time: 0.845, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0408, loss_cls: 0.1710, acc: 93.5105, loss_bbox: 0.2209, loss_mask: 0.2308, loss: 0.6796 2024-06-02 13:07:50,729 - mmdet - INFO - Epoch [8][6350/7330] lr: 1.000e-04, eta: 7:30:48, time: 0.899, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0391, loss_cls: 0.1622, acc: 93.9897, loss_bbox: 0.2123, loss_mask: 0.2243, loss: 0.6519 2024-06-02 13:08:34,319 - mmdet - INFO - Epoch [8][6400/7330] lr: 1.000e-04, eta: 7:30:03, time: 0.872, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0421, loss_cls: 0.1729, acc: 93.5085, loss_bbox: 0.2251, loss_mask: 0.2237, loss: 0.6800 2024-06-02 13:09:17,402 - mmdet - INFO - Epoch [8][6450/7330] lr: 1.000e-04, eta: 7:29:18, time: 0.862, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0435, loss_cls: 0.1736, acc: 93.5171, loss_bbox: 0.2236, loss_mask: 0.2292, loss: 0.6860 2024-06-02 13:10:06,227 - mmdet - INFO - Epoch [8][6500/7330] lr: 1.000e-04, eta: 7:28:35, time: 0.976, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0409, loss_cls: 0.1715, acc: 93.6643, loss_bbox: 0.2215, loss_mask: 0.2208, loss: 0.6705 2024-06-02 13:10:54,697 - mmdet - INFO - Epoch [8][6550/7330] lr: 1.000e-04, eta: 7:27:52, time: 0.969, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0438, loss_cls: 0.1718, acc: 93.5757, loss_bbox: 0.2235, loss_mask: 0.2341, loss: 0.6897 2024-06-02 13:11:37,548 - mmdet - INFO - Epoch [8][6600/7330] lr: 1.000e-04, eta: 7:27:07, time: 0.857, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0400, loss_cls: 0.1669, acc: 93.8459, loss_bbox: 0.2124, loss_mask: 0.2193, loss: 0.6541 2024-06-02 13:12:21,125 - mmdet - INFO - Epoch [8][6650/7330] lr: 1.000e-04, eta: 7:26:22, time: 0.872, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0420, loss_cls: 0.1738, acc: 93.6543, loss_bbox: 0.2233, loss_mask: 0.2294, loss: 0.6846 2024-06-02 13:13:08,958 - mmdet - INFO - Epoch [8][6700/7330] lr: 1.000e-04, eta: 7:25:39, time: 0.957, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0415, loss_cls: 0.1744, acc: 93.4663, loss_bbox: 0.2279, loss_mask: 0.2286, loss: 0.6882 2024-06-02 13:13:51,767 - mmdet - INFO - Epoch [8][6750/7330] lr: 1.000e-04, eta: 7:24:53, time: 0.856, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0396, loss_cls: 0.1703, acc: 93.6787, loss_bbox: 0.2147, loss_mask: 0.2175, loss: 0.6572 2024-06-02 13:14:37,163 - mmdet - INFO - Epoch [8][6800/7330] lr: 1.000e-04, eta: 7:24:09, time: 0.908, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0403, loss_cls: 0.1666, acc: 93.8682, loss_bbox: 0.2083, loss_mask: 0.2249, loss: 0.6546 2024-06-02 13:15:22,647 - mmdet - INFO - Epoch [8][6850/7330] lr: 1.000e-04, eta: 7:23:25, time: 0.910, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0411, loss_cls: 0.1668, acc: 93.7324, loss_bbox: 0.2174, loss_mask: 0.2204, loss: 0.6615 2024-06-02 13:16:05,516 - mmdet - INFO - Epoch [8][6900/7330] lr: 1.000e-04, eta: 7:22:39, time: 0.857, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0430, loss_cls: 0.1772, acc: 93.3972, loss_bbox: 0.2314, loss_mask: 0.2272, loss: 0.6957 2024-06-02 13:16:49,385 - mmdet - INFO - Epoch [8][6950/7330] lr: 1.000e-04, eta: 7:21:54, time: 0.877, data_time: 0.068, memory: 18040, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0450, loss_cls: 0.1845, acc: 93.1648, loss_bbox: 0.2358, loss_mask: 0.2296, loss: 0.7117 2024-06-02 13:17:32,745 - mmdet - INFO - Epoch [8][7000/7330] lr: 1.000e-04, eta: 7:21:09, time: 0.867, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0438, loss_cls: 0.1738, acc: 93.3625, loss_bbox: 0.2320, loss_mask: 0.2328, loss: 0.6997 2024-06-02 13:18:20,460 - mmdet - INFO - Epoch [8][7050/7330] lr: 1.000e-04, eta: 7:20:26, time: 0.954, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0401, loss_cls: 0.1711, acc: 93.5698, loss_bbox: 0.2205, loss_mask: 0.2244, loss: 0.6725 2024-06-02 13:19:06,471 - mmdet - INFO - Epoch [8][7100/7330] lr: 1.000e-04, eta: 7:19:42, time: 0.920, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0414, loss_cls: 0.1743, acc: 93.5547, loss_bbox: 0.2196, loss_mask: 0.2240, loss: 0.6751 2024-06-02 13:19:48,975 - mmdet - INFO - Epoch [8][7150/7330] lr: 1.000e-04, eta: 7:18:56, time: 0.850, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0398, loss_cls: 0.1723, acc: 93.6270, loss_bbox: 0.2201, loss_mask: 0.2320, loss: 0.6787 2024-06-02 13:20:34,920 - mmdet - INFO - Epoch [8][7200/7330] lr: 1.000e-04, eta: 7:18:12, time: 0.919, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0396, loss_cls: 0.1673, acc: 93.7329, loss_bbox: 0.2169, loss_mask: 0.2286, loss: 0.6676 2024-06-02 13:21:18,231 - mmdet - INFO - Epoch [8][7250/7330] lr: 1.000e-04, eta: 7:17:27, time: 0.866, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0404, loss_cls: 0.1705, acc: 93.5828, loss_bbox: 0.2237, loss_mask: 0.2232, loss: 0.6740 2024-06-02 13:22:06,996 - mmdet - INFO - Epoch [8][7300/7330] lr: 1.000e-04, eta: 7:16:44, time: 0.975, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0435, loss_cls: 0.1781, acc: 93.3899, loss_bbox: 0.2294, loss_mask: 0.2309, loss: 0.7006 2024-06-02 13:22:35,918 - mmdet - INFO - Saving checkpoint at 8 epochs 2024-06-02 13:24:40,178 - mmdet - INFO - Evaluating bbox... 2024-06-02 13:25:04,603 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.458 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.691 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.503 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.279 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.495 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.629 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 ] = 0.384 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 ] = 0.744 2024-06-02 13:25:04,603 - mmdet - INFO - Evaluating segm... 2024-06-02 13:25:29,346 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.412 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.656 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.439 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.201 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.445 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.624 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.522 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.522 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.522 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.321 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.565 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.709 2024-06-02 13:25:29,751 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 13:25:29,754 - mmdet - INFO - Epoch(val) [8][625] bbox_mAP: 0.4580, bbox_mAP_50: 0.6910, bbox_mAP_75: 0.5030, bbox_mAP_s: 0.2790, bbox_mAP_m: 0.4950, bbox_mAP_l: 0.6290, bbox_mAP_copypaste: 0.458 0.691 0.503 0.279 0.495 0.629, segm_mAP: 0.4120, segm_mAP_50: 0.6560, segm_mAP_75: 0.4390, segm_mAP_s: 0.2010, segm_mAP_m: 0.4450, segm_mAP_l: 0.6240, segm_mAP_copypaste: 0.412 0.656 0.439 0.201 0.445 0.624 2024-06-02 13:26:21,708 - mmdet - INFO - Epoch [9][50/7330] lr: 1.000e-05, eta: 7:15:23, time: 1.039, data_time: 0.134, memory: 18040, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0414, loss_cls: 0.1638, acc: 93.7478, loss_bbox: 0.2164, loss_mask: 0.2192, loss: 0.6559 2024-06-02 13:27:12,983 - mmdet - INFO - Epoch [9][100/7330] lr: 1.000e-05, eta: 7:14:42, time: 1.025, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0398, loss_cls: 0.1565, acc: 94.1047, loss_bbox: 0.2056, loss_mask: 0.2203, loss: 0.6360 2024-06-02 13:27:56,183 - mmdet - INFO - Epoch [9][150/7330] lr: 1.000e-05, eta: 7:13:56, time: 0.864, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0404, loss_cls: 0.1642, acc: 93.8821, loss_bbox: 0.2158, loss_mask: 0.2219, loss: 0.6569 2024-06-02 13:28:39,763 - mmdet - INFO - Epoch [9][200/7330] lr: 1.000e-05, eta: 7:13:11, time: 0.872, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0369, loss_cls: 0.1541, acc: 94.0837, loss_bbox: 0.2065, loss_mask: 0.2158, loss: 0.6261 2024-06-02 13:29:23,223 - mmdet - INFO - Epoch [9][250/7330] lr: 1.000e-05, eta: 7:12:26, time: 0.869, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0370, loss_cls: 0.1500, acc: 94.2493, loss_bbox: 0.2048, loss_mask: 0.2170, loss: 0.6203 2024-06-02 13:30:06,124 - mmdet - INFO - Epoch [9][300/7330] lr: 1.000e-05, eta: 7:11:41, time: 0.858, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0371, loss_cls: 0.1562, acc: 93.9624, loss_bbox: 0.2071, loss_mask: 0.2163, loss: 0.6287 2024-06-02 13:30:54,149 - mmdet - INFO - Epoch [9][350/7330] lr: 1.000e-05, eta: 7:10:58, time: 0.961, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0411, loss_cls: 0.1626, acc: 93.7781, loss_bbox: 0.2158, loss_mask: 0.2220, loss: 0.6550 2024-06-02 13:31:37,360 - mmdet - INFO - Epoch [9][400/7330] lr: 1.000e-05, eta: 7:10:12, time: 0.864, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0381, loss_cls: 0.1529, acc: 94.1628, loss_bbox: 0.2044, loss_mask: 0.2179, loss: 0.6259 2024-06-02 13:32:21,125 - mmdet - INFO - Epoch [9][450/7330] lr: 1.000e-05, eta: 7:09:27, time: 0.875, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0414, loss_cls: 0.1624, acc: 93.8411, loss_bbox: 0.2179, loss_mask: 0.2220, loss: 0.6579 2024-06-02 13:33:04,575 - mmdet - INFO - Epoch [9][500/7330] lr: 1.000e-05, eta: 7:08:42, time: 0.869, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0393, loss_cls: 0.1563, acc: 94.0930, loss_bbox: 0.2114, loss_mask: 0.2152, loss: 0.6357 2024-06-02 13:33:47,615 - mmdet - INFO - Epoch [9][550/7330] lr: 1.000e-05, eta: 7:07:57, time: 0.861, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0376, loss_cls: 0.1550, acc: 94.1729, loss_bbox: 0.2069, loss_mask: 0.2133, loss: 0.6246 2024-06-02 13:34:38,281 - mmdet - INFO - Epoch [9][600/7330] lr: 1.000e-05, eta: 7:07:15, time: 1.013, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0362, loss_cls: 0.1515, acc: 94.2781, loss_bbox: 0.2038, loss_mask: 0.2120, loss: 0.6157 2024-06-02 13:35:22,133 - mmdet - INFO - Epoch [9][650/7330] lr: 1.000e-05, eta: 7:06:30, time: 0.877, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0386, loss_cls: 0.1552, acc: 94.0679, loss_bbox: 0.2093, loss_mask: 0.2200, loss: 0.6363 2024-06-02 13:36:10,167 - mmdet - INFO - Epoch [9][700/7330] lr: 1.000e-05, eta: 7:05:47, time: 0.961, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0388, loss_cls: 0.1532, acc: 94.2236, loss_bbox: 0.2081, loss_mask: 0.2129, loss: 0.6254 2024-06-02 13:36:55,578 - mmdet - INFO - Epoch [9][750/7330] lr: 1.000e-05, eta: 7:05:03, time: 0.908, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0367, loss_cls: 0.1457, acc: 94.4124, loss_bbox: 0.1978, loss_mask: 0.2130, loss: 0.6054 2024-06-02 13:37:38,664 - mmdet - INFO - Epoch [9][800/7330] lr: 1.000e-05, eta: 7:04:17, time: 0.862, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0373, loss_cls: 0.1515, acc: 94.2607, loss_bbox: 0.2052, loss_mask: 0.2157, loss: 0.6239 2024-06-02 13:38:23,404 - mmdet - INFO - Epoch [9][850/7330] lr: 1.000e-05, eta: 7:03:33, time: 0.895, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0387, loss_cls: 0.1566, acc: 93.9534, loss_bbox: 0.2107, loss_mask: 0.2174, loss: 0.6355 2024-06-02 13:39:06,649 - mmdet - INFO - Epoch [9][900/7330] lr: 1.000e-05, eta: 7:02:47, time: 0.865, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0380, loss_cls: 0.1579, acc: 93.9482, loss_bbox: 0.2154, loss_mask: 0.2237, loss: 0.6475 2024-06-02 13:39:52,080 - mmdet - INFO - Epoch [9][950/7330] lr: 1.000e-05, eta: 7:02:03, time: 0.909, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0393, loss_cls: 0.1579, acc: 94.0264, loss_bbox: 0.2108, loss_mask: 0.2158, loss: 0.6386 2024-06-02 13:40:34,931 - mmdet - INFO - Epoch [9][1000/7330] lr: 1.000e-05, eta: 7:01:18, time: 0.857, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0393, loss_cls: 0.1595, acc: 93.8286, loss_bbox: 0.2136, loss_mask: 0.2189, loss: 0.6451 2024-06-02 13:41:17,901 - mmdet - INFO - Epoch [9][1050/7330] lr: 1.000e-05, eta: 7:00:32, time: 0.859, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0369, loss_cls: 0.1508, acc: 94.1836, loss_bbox: 0.2040, loss_mask: 0.2140, loss: 0.6181 2024-06-02 13:42:03,626 - mmdet - INFO - Epoch [9][1100/7330] lr: 1.000e-05, eta: 6:59:48, time: 0.914, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0392, loss_cls: 0.1515, acc: 94.2244, loss_bbox: 0.2031, loss_mask: 0.2123, loss: 0.6191 2024-06-02 13:42:50,955 - mmdet - INFO - Epoch [9][1150/7330] lr: 1.000e-05, eta: 6:59:05, time: 0.947, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0382, loss_cls: 0.1546, acc: 94.1443, loss_bbox: 0.2076, loss_mask: 0.2191, loss: 0.6329 2024-06-02 13:43:37,057 - mmdet - INFO - Epoch [9][1200/7330] lr: 1.000e-05, eta: 6:58:21, time: 0.922, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0383, loss_cls: 0.1506, acc: 94.2346, loss_bbox: 0.2048, loss_mask: 0.2183, loss: 0.6244 2024-06-02 13:44:23,152 - mmdet - INFO - Epoch [9][1250/7330] lr: 1.000e-05, eta: 6:57:37, time: 0.922, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0379, loss_cls: 0.1526, acc: 94.2024, loss_bbox: 0.2056, loss_mask: 0.2153, loss: 0.6242 2024-06-02 13:45:08,679 - mmdet - INFO - Epoch [9][1300/7330] lr: 1.000e-05, eta: 6:56:53, time: 0.911, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0399, loss_cls: 0.1574, acc: 93.9519, loss_bbox: 0.2111, loss_mask: 0.2178, loss: 0.6396 2024-06-02 13:45:57,104 - mmdet - INFO - Epoch [9][1350/7330] lr: 1.000e-05, eta: 6:56:10, time: 0.969, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0404, loss_cls: 0.1578, acc: 93.9814, loss_bbox: 0.2105, loss_mask: 0.2162, loss: 0.6386 2024-06-02 13:46:40,109 - mmdet - INFO - Epoch [9][1400/7330] lr: 1.000e-05, eta: 6:55:24, time: 0.860, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0362, loss_cls: 0.1506, acc: 94.2993, loss_bbox: 0.2026, loss_mask: 0.2135, loss: 0.6143 2024-06-02 13:47:24,373 - mmdet - INFO - Epoch [9][1450/7330] lr: 1.000e-05, eta: 6:54:40, time: 0.885, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0405, loss_cls: 0.1558, acc: 94.0891, loss_bbox: 0.2047, loss_mask: 0.2176, loss: 0.6309 2024-06-02 13:48:09,686 - mmdet - INFO - Epoch [9][1500/7330] lr: 1.000e-05, eta: 6:53:55, time: 0.906, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0382, loss_cls: 0.1555, acc: 94.0125, loss_bbox: 0.2099, loss_mask: 0.2192, loss: 0.6357 2024-06-02 13:48:52,960 - mmdet - INFO - Epoch [9][1550/7330] lr: 1.000e-05, eta: 6:53:10, time: 0.865, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0372, loss_cls: 0.1490, acc: 94.2651, loss_bbox: 0.2009, loss_mask: 0.2129, loss: 0.6127 2024-06-02 13:49:36,051 - mmdet - INFO - Epoch [9][1600/7330] lr: 1.000e-05, eta: 6:52:25, time: 0.862, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0358, loss_cls: 0.1476, acc: 94.4312, loss_bbox: 0.2003, loss_mask: 0.2138, loss: 0.6090 2024-06-02 13:50:20,736 - mmdet - INFO - Epoch [9][1650/7330] lr: 1.000e-05, eta: 6:51:40, time: 0.894, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0372, loss_cls: 0.1550, acc: 93.9944, loss_bbox: 0.2064, loss_mask: 0.2173, loss: 0.6277 2024-06-02 13:51:04,840 - mmdet - INFO - Epoch [9][1700/7330] lr: 1.000e-05, eta: 6:50:55, time: 0.882, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0393, loss_cls: 0.1545, acc: 94.0330, loss_bbox: 0.2083, loss_mask: 0.2153, loss: 0.6314 2024-06-02 13:51:59,235 - mmdet - INFO - Epoch [9][1750/7330] lr: 1.000e-05, eta: 6:50:15, time: 1.088, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0378, loss_cls: 0.1607, acc: 93.8408, loss_bbox: 0.2142, loss_mask: 0.2222, loss: 0.6465 2024-06-02 13:52:43,264 - mmdet - INFO - Epoch [9][1800/7330] lr: 1.000e-05, eta: 6:49:30, time: 0.881, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0381, loss_cls: 0.1512, acc: 94.1887, loss_bbox: 0.2045, loss_mask: 0.2175, loss: 0.6236 2024-06-02 13:53:27,104 - mmdet - INFO - Epoch [9][1850/7330] lr: 1.000e-05, eta: 6:48:45, time: 0.877, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0388, loss_cls: 0.1465, acc: 94.4023, loss_bbox: 0.1938, loss_mask: 0.2108, loss: 0.6014 2024-06-02 13:54:10,669 - mmdet - INFO - Epoch [9][1900/7330] lr: 1.000e-05, eta: 6:48:00, time: 0.871, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0377, loss_cls: 0.1588, acc: 93.9417, loss_bbox: 0.2151, loss_mask: 0.2191, loss: 0.6435 2024-06-02 13:54:58,327 - mmdet - INFO - Epoch [9][1950/7330] lr: 1.000e-05, eta: 6:47:17, time: 0.953, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0392, loss_cls: 0.1596, acc: 93.8904, loss_bbox: 0.2126, loss_mask: 0.2190, loss: 0.6436 2024-06-02 13:55:47,063 - mmdet - INFO - Epoch [9][2000/7330] lr: 1.000e-05, eta: 6:46:34, time: 0.975, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0385, loss_cls: 0.1510, acc: 94.1731, loss_bbox: 0.2031, loss_mask: 0.2134, loss: 0.6184 2024-06-02 13:56:32,663 - mmdet - INFO - Epoch [9][2050/7330] lr: 1.000e-05, eta: 6:45:50, time: 0.912, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0366, loss_cls: 0.1466, acc: 94.4675, loss_bbox: 0.1958, loss_mask: 0.2086, loss: 0.5994 2024-06-02 13:57:16,601 - mmdet - INFO - Epoch [9][2100/7330] lr: 1.000e-05, eta: 6:45:05, time: 0.879, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0390, loss_cls: 0.1504, acc: 94.2322, loss_bbox: 0.2076, loss_mask: 0.2191, loss: 0.6288 2024-06-02 13:58:00,062 - mmdet - INFO - Epoch [9][2150/7330] lr: 1.000e-05, eta: 6:44:20, time: 0.869, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0358, loss_cls: 0.1419, acc: 94.6460, loss_bbox: 0.1926, loss_mask: 0.2055, loss: 0.5877 2024-06-02 13:58:43,419 - mmdet - INFO - Epoch [9][2200/7330] lr: 1.000e-05, eta: 6:43:34, time: 0.867, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0381, loss_cls: 0.1466, acc: 94.3354, loss_bbox: 0.2018, loss_mask: 0.2109, loss: 0.6096 2024-06-02 13:59:34,752 - mmdet - INFO - Epoch [9][2250/7330] lr: 1.000e-05, eta: 6:42:53, time: 1.027, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0367, loss_cls: 0.1505, acc: 94.2068, loss_bbox: 0.2069, loss_mask: 0.2166, loss: 0.6231 2024-06-02 14:00:18,695 - mmdet - INFO - Epoch [9][2300/7330] lr: 1.000e-05, eta: 6:42:08, time: 0.879, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0428, loss_cls: 0.1636, acc: 93.7734, loss_bbox: 0.2170, loss_mask: 0.2201, loss: 0.6576 2024-06-02 14:01:05,149 - mmdet - INFO - Epoch [9][2350/7330] lr: 1.000e-05, eta: 6:41:24, time: 0.929, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0370, loss_cls: 0.1551, acc: 94.0344, loss_bbox: 0.2065, loss_mask: 0.2182, loss: 0.6284 2024-06-02 14:01:48,526 - mmdet - INFO - Epoch [9][2400/7330] lr: 1.000e-05, eta: 6:40:39, time: 0.868, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0365, loss_cls: 0.1567, acc: 94.0310, loss_bbox: 0.2089, loss_mask: 0.2165, loss: 0.6306 2024-06-02 14:02:31,233 - mmdet - INFO - Epoch [9][2450/7330] lr: 1.000e-05, eta: 6:39:53, time: 0.854, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0366, loss_cls: 0.1515, acc: 94.2727, loss_bbox: 0.2048, loss_mask: 0.2151, loss: 0.6204 2024-06-02 14:03:14,958 - mmdet - INFO - Epoch [9][2500/7330] lr: 1.000e-05, eta: 6:39:08, time: 0.875, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0401, loss_cls: 0.1576, acc: 93.8899, loss_bbox: 0.2158, loss_mask: 0.2214, loss: 0.6480 2024-06-02 14:04:02,990 - mmdet - INFO - Epoch [9][2550/7330] lr: 1.000e-05, eta: 6:38:25, time: 0.961, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0394, loss_cls: 0.1519, acc: 94.1938, loss_bbox: 0.2064, loss_mask: 0.2153, loss: 0.6260 2024-06-02 14:04:51,218 - mmdet - INFO - Epoch [9][2600/7330] lr: 1.000e-05, eta: 6:37:42, time: 0.965, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0384, loss_cls: 0.1505, acc: 94.1775, loss_bbox: 0.2087, loss_mask: 0.2181, loss: 0.6278 2024-06-02 14:05:34,023 - mmdet - INFO - Epoch [9][2650/7330] lr: 1.000e-05, eta: 6:36:56, time: 0.856, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0352, loss_cls: 0.1449, acc: 94.3918, loss_bbox: 0.1972, loss_mask: 0.2077, loss: 0.5959 2024-06-02 14:06:17,162 - mmdet - INFO - Epoch [9][2700/7330] lr: 1.000e-05, eta: 6:36:11, time: 0.863, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0348, loss_cls: 0.1455, acc: 94.4060, loss_bbox: 0.1940, loss_mask: 0.2086, loss: 0.5944 2024-06-02 14:07:00,293 - mmdet - INFO - Epoch [9][2750/7330] lr: 1.000e-05, eta: 6:35:26, time: 0.863, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0344, loss_cls: 0.1382, acc: 94.6226, loss_bbox: 0.1870, loss_mask: 0.2068, loss: 0.5771 2024-06-02 14:07:43,437 - mmdet - INFO - Epoch [9][2800/7330] lr: 1.000e-05, eta: 6:34:40, time: 0.863, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0385, loss_cls: 0.1510, acc: 94.2507, loss_bbox: 0.1968, loss_mask: 0.2144, loss: 0.6126 2024-06-02 14:08:31,058 - mmdet - INFO - Epoch [9][2850/7330] lr: 1.000e-05, eta: 6:33:57, time: 0.952, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0340, loss_cls: 0.1424, acc: 94.6099, loss_bbox: 0.1907, loss_mask: 0.2098, loss: 0.5875 2024-06-02 14:09:14,660 - mmdet - INFO - Epoch [9][2900/7330] lr: 1.000e-05, eta: 6:33:12, time: 0.872, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0404, loss_cls: 0.1567, acc: 94.0308, loss_bbox: 0.2122, loss_mask: 0.2156, loss: 0.6386 2024-06-02 14:09:57,520 - mmdet - INFO - Epoch [9][2950/7330] lr: 1.000e-05, eta: 6:32:27, time: 0.857, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0384, loss_cls: 0.1558, acc: 93.9717, loss_bbox: 0.2108, loss_mask: 0.2156, loss: 0.6339 2024-06-02 14:10:43,699 - mmdet - INFO - Epoch [9][3000/7330] lr: 1.000e-05, eta: 6:31:43, time: 0.924, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0383, loss_cls: 0.1643, acc: 93.8147, loss_bbox: 0.2192, loss_mask: 0.2231, loss: 0.6590 2024-06-02 14:11:26,729 - mmdet - INFO - Epoch [9][3050/7330] lr: 1.000e-05, eta: 6:30:57, time: 0.861, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0355, loss_cls: 0.1455, acc: 94.4729, loss_bbox: 0.1920, loss_mask: 0.2122, loss: 0.5964 2024-06-02 14:12:14,837 - mmdet - INFO - Epoch [9][3100/7330] lr: 1.000e-05, eta: 6:30:14, time: 0.962, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0385, loss_cls: 0.1509, acc: 94.2991, loss_bbox: 0.2052, loss_mask: 0.2190, loss: 0.6256 2024-06-02 14:13:02,428 - mmdet - INFO - Epoch [9][3150/7330] lr: 1.000e-05, eta: 6:29:31, time: 0.952, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0378, loss_cls: 0.1475, acc: 94.3760, loss_bbox: 0.2016, loss_mask: 0.2166, loss: 0.6146 2024-06-02 14:13:46,443 - mmdet - INFO - Epoch [9][3200/7330] lr: 1.000e-05, eta: 6:28:46, time: 0.880, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0371, loss_cls: 0.1532, acc: 94.0874, loss_bbox: 0.2044, loss_mask: 0.2095, loss: 0.6172 2024-06-02 14:14:30,281 - mmdet - INFO - Epoch [9][3250/7330] lr: 1.000e-05, eta: 6:28:01, time: 0.877, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0407, loss_cls: 0.1571, acc: 93.9968, loss_bbox: 0.2137, loss_mask: 0.2188, loss: 0.6436 2024-06-02 14:15:13,739 - mmdet - INFO - Epoch [9][3300/7330] lr: 1.000e-05, eta: 6:27:16, time: 0.869, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0367, loss_cls: 0.1503, acc: 94.2632, loss_bbox: 0.2013, loss_mask: 0.2123, loss: 0.6126 2024-06-02 14:15:57,064 - mmdet - INFO - Epoch [9][3350/7330] lr: 1.000e-05, eta: 6:26:30, time: 0.867, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0380, loss_cls: 0.1472, acc: 94.3962, loss_bbox: 0.2005, loss_mask: 0.2116, loss: 0.6102 2024-06-02 14:16:42,193 - mmdet - INFO - Epoch [9][3400/7330] lr: 1.000e-05, eta: 6:25:46, time: 0.902, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0383, loss_cls: 0.1530, acc: 94.2227, loss_bbox: 0.2067, loss_mask: 0.2165, loss: 0.6285 2024-06-02 14:17:25,927 - mmdet - INFO - Epoch [9][3450/7330] lr: 1.000e-05, eta: 6:25:01, time: 0.875, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0383, loss_cls: 0.1507, acc: 94.2852, loss_bbox: 0.2028, loss_mask: 0.2123, loss: 0.6164 2024-06-02 14:18:14,180 - mmdet - INFO - Epoch [9][3500/7330] lr: 1.000e-05, eta: 6:24:18, time: 0.965, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0366, loss_cls: 0.1462, acc: 94.4553, loss_bbox: 0.1939, loss_mask: 0.2108, loss: 0.5996 2024-06-02 14:18:57,728 - mmdet - INFO - Epoch [9][3550/7330] lr: 1.000e-05, eta: 6:23:33, time: 0.871, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0386, loss_cls: 0.1547, acc: 94.1780, loss_bbox: 0.2064, loss_mask: 0.2117, loss: 0.6235 2024-06-02 14:19:43,150 - mmdet - INFO - Epoch [9][3600/7330] lr: 1.000e-05, eta: 6:22:48, time: 0.909, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0389, loss_cls: 0.1496, acc: 94.2229, loss_bbox: 0.2050, loss_mask: 0.2159, loss: 0.6214 2024-06-02 14:20:26,636 - mmdet - INFO - Epoch [9][3650/7330] lr: 1.000e-05, eta: 6:22:03, time: 0.870, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0376, loss_cls: 0.1491, acc: 94.2825, loss_bbox: 0.1999, loss_mask: 0.2126, loss: 0.6114 2024-06-02 14:21:12,417 - mmdet - INFO - Epoch [9][3700/7330] lr: 1.000e-05, eta: 6:21:19, time: 0.916, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0368, loss_cls: 0.1429, acc: 94.5757, loss_bbox: 0.1943, loss_mask: 0.2073, loss: 0.5921 2024-06-02 14:22:02,951 - mmdet - INFO - Epoch [9][3750/7330] lr: 1.000e-05, eta: 6:20:37, time: 1.011, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0392, loss_cls: 0.1509, acc: 94.2195, loss_bbox: 0.2083, loss_mask: 0.2194, loss: 0.6308 2024-06-02 14:22:46,272 - mmdet - INFO - Epoch [9][3800/7330] lr: 1.000e-05, eta: 6:19:52, time: 0.866, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0370, loss_cls: 0.1488, acc: 94.2659, loss_bbox: 0.2017, loss_mask: 0.2163, loss: 0.6158 2024-06-02 14:23:29,674 - mmdet - INFO - Epoch [9][3850/7330] lr: 1.000e-05, eta: 6:19:06, time: 0.868, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0398, loss_cls: 0.1610, acc: 93.8826, loss_bbox: 0.2175, loss_mask: 0.2190, loss: 0.6504 2024-06-02 14:24:13,481 - mmdet - INFO - Epoch [9][3900/7330] lr: 1.000e-05, eta: 6:18:21, time: 0.876, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0379, loss_cls: 0.1484, acc: 94.3416, loss_bbox: 0.2028, loss_mask: 0.2167, loss: 0.6192 2024-06-02 14:24:56,847 - mmdet - INFO - Epoch [9][3950/7330] lr: 1.000e-05, eta: 6:17:36, time: 0.867, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0371, loss_cls: 0.1549, acc: 94.1841, loss_bbox: 0.2062, loss_mask: 0.2186, loss: 0.6295 2024-06-02 14:25:42,297 - mmdet - INFO - Epoch [9][4000/7330] lr: 1.000e-05, eta: 6:16:52, time: 0.909, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0385, loss_cls: 0.1522, acc: 94.1338, loss_bbox: 0.2121, loss_mask: 0.2161, loss: 0.6308 2024-06-02 14:26:25,572 - mmdet - INFO - Epoch [9][4050/7330] lr: 1.000e-05, eta: 6:16:07, time: 0.865, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0384, loss_cls: 0.1534, acc: 94.1978, loss_bbox: 0.2062, loss_mask: 0.2161, loss: 0.6268 2024-06-02 14:27:14,919 - mmdet - INFO - Epoch [9][4100/7330] lr: 1.000e-05, eta: 6:15:24, time: 0.987, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0387, loss_cls: 0.1514, acc: 94.1609, loss_bbox: 0.2070, loss_mask: 0.2111, loss: 0.6203 2024-06-02 14:27:58,793 - mmdet - INFO - Epoch [9][4150/7330] lr: 1.000e-05, eta: 6:14:39, time: 0.877, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0417, loss_cls: 0.1521, acc: 94.2241, loss_bbox: 0.2050, loss_mask: 0.2130, loss: 0.6256 2024-06-02 14:28:44,190 - mmdet - INFO - Epoch [9][4200/7330] lr: 1.000e-05, eta: 6:13:55, time: 0.908, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0383, loss_cls: 0.1487, acc: 94.3228, loss_bbox: 0.2029, loss_mask: 0.2164, loss: 0.6185 2024-06-02 14:29:27,643 - mmdet - INFO - Epoch [9][4250/7330] lr: 1.000e-05, eta: 6:13:09, time: 0.869, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0390, loss_cls: 0.1514, acc: 94.2307, loss_bbox: 0.2068, loss_mask: 0.2195, loss: 0.6305 2024-06-02 14:30:14,428 - mmdet - INFO - Epoch [9][4300/7330] lr: 1.000e-05, eta: 6:12:26, time: 0.936, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0386, loss_cls: 0.1504, acc: 94.2014, loss_bbox: 0.2053, loss_mask: 0.2158, loss: 0.6227 2024-06-02 14:31:01,173 - mmdet - INFO - Epoch [9][4350/7330] lr: 1.000e-05, eta: 6:11:42, time: 0.935, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0377, loss_cls: 0.1500, acc: 94.2234, loss_bbox: 0.2053, loss_mask: 0.2157, loss: 0.6210 2024-06-02 14:31:49,718 - mmdet - INFO - Epoch [9][4400/7330] lr: 1.000e-05, eta: 6:10:59, time: 0.971, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0403, loss_cls: 0.1540, acc: 94.1604, loss_bbox: 0.2080, loss_mask: 0.2144, loss: 0.6297 2024-06-02 14:32:33,140 - mmdet - INFO - Epoch [9][4450/7330] lr: 1.000e-05, eta: 6:10:14, time: 0.868, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0369, loss_cls: 0.1535, acc: 94.1099, loss_bbox: 0.2082, loss_mask: 0.2153, loss: 0.6268 2024-06-02 14:33:16,950 - mmdet - INFO - Epoch [9][4500/7330] lr: 1.000e-05, eta: 6:09:29, time: 0.876, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0401, loss_cls: 0.1592, acc: 93.9253, loss_bbox: 0.2169, loss_mask: 0.2210, loss: 0.6514 2024-06-02 14:34:00,049 - mmdet - INFO - Epoch [9][4550/7330] lr: 1.000e-05, eta: 6:08:43, time: 0.862, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0357, loss_cls: 0.1418, acc: 94.6223, loss_bbox: 0.1935, loss_mask: 0.2111, loss: 0.5950 2024-06-02 14:34:48,116 - mmdet - INFO - Epoch [9][4600/7330] lr: 1.000e-05, eta: 6:08:00, time: 0.961, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0374, loss_cls: 0.1479, acc: 94.3274, loss_bbox: 0.2043, loss_mask: 0.2143, loss: 0.6158 2024-06-02 14:35:31,813 - mmdet - INFO - Epoch [9][4650/7330] lr: 1.000e-05, eta: 6:07:15, time: 0.874, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0353, loss_cls: 0.1430, acc: 94.5330, loss_bbox: 0.1952, loss_mask: 0.2102, loss: 0.5954 2024-06-02 14:36:18,053 - mmdet - INFO - Epoch [9][4700/7330] lr: 1.000e-05, eta: 6:06:31, time: 0.925, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0379, loss_cls: 0.1455, acc: 94.3074, loss_bbox: 0.2057, loss_mask: 0.2155, loss: 0.6176 2024-06-02 14:37:01,019 - mmdet - INFO - Epoch [9][4750/7330] lr: 1.000e-05, eta: 6:05:46, time: 0.859, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0369, loss_cls: 0.1484, acc: 94.3142, loss_bbox: 0.2010, loss_mask: 0.2167, loss: 0.6150 2024-06-02 14:37:48,094 - mmdet - INFO - Epoch [9][4800/7330] lr: 1.000e-05, eta: 6:05:02, time: 0.941, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0411, loss_cls: 0.1537, acc: 94.2163, loss_bbox: 0.2090, loss_mask: 0.2113, loss: 0.6273 2024-06-02 14:38:31,291 - mmdet - INFO - Epoch [9][4850/7330] lr: 1.000e-05, eta: 6:04:17, time: 0.864, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0358, loss_cls: 0.1436, acc: 94.5825, loss_bbox: 0.1922, loss_mask: 0.2099, loss: 0.5923 2024-06-02 14:39:17,247 - mmdet - INFO - Epoch [9][4900/7330] lr: 1.000e-05, eta: 6:03:32, time: 0.919, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0372, loss_cls: 0.1461, acc: 94.4656, loss_bbox: 0.1988, loss_mask: 0.2137, loss: 0.6076 2024-06-02 14:40:02,735 - mmdet - INFO - Epoch [9][4950/7330] lr: 1.000e-05, eta: 6:02:48, time: 0.910, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0369, loss_cls: 0.1498, acc: 94.2861, loss_bbox: 0.2007, loss_mask: 0.2114, loss: 0.6109 2024-06-02 14:40:51,014 - mmdet - INFO - Epoch [9][5000/7330] lr: 1.000e-05, eta: 6:02:05, time: 0.966, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0363, loss_cls: 0.1474, acc: 94.2554, loss_bbox: 0.2015, loss_mask: 0.2136, loss: 0.6104 2024-06-02 14:41:34,353 - mmdet - INFO - Epoch [9][5050/7330] lr: 1.000e-05, eta: 6:01:20, time: 0.867, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0371, loss_cls: 0.1502, acc: 94.2500, loss_bbox: 0.2011, loss_mask: 0.2161, loss: 0.6168 2024-06-02 14:42:17,958 - mmdet - INFO - Epoch [9][5100/7330] lr: 1.000e-05, eta: 6:00:35, time: 0.872, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0376, loss_cls: 0.1506, acc: 94.3599, loss_bbox: 0.1985, loss_mask: 0.2111, loss: 0.6108 2024-06-02 14:43:02,343 - mmdet - INFO - Epoch [9][5150/7330] lr: 1.000e-05, eta: 5:59:50, time: 0.888, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0398, loss_cls: 0.1551, acc: 94.1287, loss_bbox: 0.2107, loss_mask: 0.2191, loss: 0.6378 2024-06-02 14:43:50,753 - mmdet - INFO - Epoch [9][5200/7330] lr: 1.000e-05, eta: 5:59:07, time: 0.968, data_time: 0.069, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0375, loss_cls: 0.1453, acc: 94.3574, loss_bbox: 0.1986, loss_mask: 0.2119, loss: 0.6052 2024-06-02 14:44:34,639 - mmdet - INFO - Epoch [9][5250/7330] lr: 1.000e-05, eta: 5:58:22, time: 0.877, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0368, loss_cls: 0.1523, acc: 94.2300, loss_bbox: 0.2054, loss_mask: 0.2142, loss: 0.6223 2024-06-02 14:45:20,399 - mmdet - INFO - Epoch [9][5300/7330] lr: 1.000e-05, eta: 5:57:37, time: 0.916, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0366, loss_cls: 0.1470, acc: 94.4297, loss_bbox: 0.1996, loss_mask: 0.2102, loss: 0.6055 2024-06-02 14:46:03,483 - mmdet - INFO - Epoch [9][5350/7330] lr: 1.000e-05, eta: 5:56:52, time: 0.862, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0375, loss_cls: 0.1439, acc: 94.4548, loss_bbox: 0.1995, loss_mask: 0.2135, loss: 0.6070 2024-06-02 14:46:46,936 - mmdet - INFO - Epoch [9][5400/7330] lr: 1.000e-05, eta: 5:56:07, time: 0.869, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0387, loss_cls: 0.1530, acc: 94.0918, loss_bbox: 0.2076, loss_mask: 0.2162, loss: 0.6277 2024-06-02 14:47:34,945 - mmdet - INFO - Epoch [9][5450/7330] lr: 1.000e-05, eta: 5:55:24, time: 0.960, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0374, loss_cls: 0.1457, acc: 94.4172, loss_bbox: 0.1985, loss_mask: 0.2125, loss: 0.6054 2024-06-02 14:48:20,462 - mmdet - INFO - Epoch [9][5500/7330] lr: 1.000e-05, eta: 5:54:39, time: 0.910, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0393, loss_cls: 0.1502, acc: 94.2458, loss_bbox: 0.2064, loss_mask: 0.2154, loss: 0.6242 2024-06-02 14:49:05,694 - mmdet - INFO - Epoch [9][5550/7330] lr: 1.000e-05, eta: 5:53:55, time: 0.905, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0376, loss_cls: 0.1506, acc: 94.1990, loss_bbox: 0.2065, loss_mask: 0.2158, loss: 0.6224 2024-06-02 14:49:51,046 - mmdet - INFO - Epoch [9][5600/7330] lr: 1.000e-05, eta: 5:53:10, time: 0.907, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0385, loss_cls: 0.1470, acc: 94.3010, loss_bbox: 0.2018, loss_mask: 0.2126, loss: 0.6123 2024-06-02 14:50:34,544 - mmdet - INFO - Epoch [9][5650/7330] lr: 1.000e-05, eta: 5:52:25, time: 0.870, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0362, loss_cls: 0.1523, acc: 94.2698, loss_bbox: 0.2020, loss_mask: 0.2139, loss: 0.6166 2024-06-02 14:51:17,813 - mmdet - INFO - Epoch [9][5700/7330] lr: 1.000e-05, eta: 5:51:40, time: 0.865, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0381, loss_cls: 0.1476, acc: 94.2883, loss_bbox: 0.1991, loss_mask: 0.2147, loss: 0.6117 2024-06-02 14:52:06,289 - mmdet - INFO - Epoch [9][5750/7330] lr: 1.000e-05, eta: 5:50:57, time: 0.969, data_time: 0.121, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0387, loss_cls: 0.1518, acc: 94.2227, loss_bbox: 0.2049, loss_mask: 0.2127, loss: 0.6203 2024-06-02 14:52:49,485 - mmdet - INFO - Epoch [9][5800/7330] lr: 1.000e-05, eta: 5:50:12, time: 0.864, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0410, loss_cls: 0.1589, acc: 93.9932, loss_bbox: 0.2129, loss_mask: 0.2184, loss: 0.6441 2024-06-02 14:53:34,470 - mmdet - INFO - Epoch [9][5850/7330] lr: 1.000e-05, eta: 5:49:27, time: 0.900, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0373, loss_cls: 0.1449, acc: 94.4170, loss_bbox: 0.1994, loss_mask: 0.2130, loss: 0.6059 2024-06-02 14:54:21,093 - mmdet - INFO - Epoch [9][5900/7330] lr: 1.000e-05, eta: 5:48:43, time: 0.933, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0388, loss_cls: 0.1501, acc: 94.2439, loss_bbox: 0.2074, loss_mask: 0.2214, loss: 0.6311 2024-06-02 14:55:06,634 - mmdet - INFO - Epoch [9][5950/7330] lr: 1.000e-05, eta: 5:47:59, time: 0.911, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0389, loss_cls: 0.1522, acc: 94.2375, loss_bbox: 0.2052, loss_mask: 0.2160, loss: 0.6254 2024-06-02 14:55:49,209 - mmdet - INFO - Epoch [9][6000/7330] lr: 1.000e-05, eta: 5:47:13, time: 0.852, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0372, loss_cls: 0.1440, acc: 94.4529, loss_bbox: 0.1972, loss_mask: 0.2119, loss: 0.6007 2024-06-02 14:56:37,335 - mmdet - INFO - Epoch [9][6050/7330] lr: 1.000e-05, eta: 5:46:30, time: 0.962, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0382, loss_cls: 0.1450, acc: 94.4407, loss_bbox: 0.2018, loss_mask: 0.2131, loss: 0.6099 2024-06-02 14:57:20,487 - mmdet - INFO - Epoch [9][6100/7330] lr: 1.000e-05, eta: 5:45:45, time: 0.863, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0357, loss_cls: 0.1492, acc: 94.3528, loss_bbox: 0.2021, loss_mask: 0.2155, loss: 0.6143 2024-06-02 14:58:04,766 - mmdet - INFO - Epoch [9][6150/7330] lr: 1.000e-05, eta: 5:45:00, time: 0.886, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0407, loss_cls: 0.1609, acc: 93.9067, loss_bbox: 0.2147, loss_mask: 0.2209, loss: 0.6517 2024-06-02 14:58:52,804 - mmdet - INFO - Epoch [9][6200/7330] lr: 1.000e-05, eta: 5:44:16, time: 0.961, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0375, loss_cls: 0.1492, acc: 94.3379, loss_bbox: 0.2049, loss_mask: 0.2143, loss: 0.6184 2024-06-02 14:59:38,218 - mmdet - INFO - Epoch [9][6250/7330] lr: 1.000e-05, eta: 5:43:32, time: 0.908, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0389, loss_cls: 0.1546, acc: 94.0469, loss_bbox: 0.2085, loss_mask: 0.2132, loss: 0.6273 2024-06-02 15:00:21,183 - mmdet - INFO - Epoch [9][6300/7330] lr: 1.000e-05, eta: 5:42:47, time: 0.859, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0369, loss_cls: 0.1503, acc: 94.2327, loss_bbox: 0.2049, loss_mask: 0.2113, loss: 0.6161 2024-06-02 15:01:04,304 - mmdet - INFO - Epoch [9][6350/7330] lr: 1.000e-05, eta: 5:42:01, time: 0.862, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0386, loss_cls: 0.1573, acc: 93.9768, loss_bbox: 0.2123, loss_mask: 0.2136, loss: 0.6350 2024-06-02 15:01:46,538 - mmdet - INFO - Epoch [9][6400/7330] lr: 1.000e-05, eta: 5:41:16, time: 0.845, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0365, loss_cls: 0.1463, acc: 94.3845, loss_bbox: 0.2032, loss_mask: 0.2176, loss: 0.6154 2024-06-02 15:02:32,228 - mmdet - INFO - Epoch [9][6450/7330] lr: 1.000e-05, eta: 5:40:32, time: 0.914, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0393, loss_cls: 0.1489, acc: 94.2693, loss_bbox: 0.2073, loss_mask: 0.2155, loss: 0.6239 2024-06-02 15:03:20,856 - mmdet - INFO - Epoch [9][6500/7330] lr: 1.000e-05, eta: 5:39:48, time: 0.973, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0381, loss_cls: 0.1542, acc: 94.1433, loss_bbox: 0.2058, loss_mask: 0.2156, loss: 0.6262 2024-06-02 15:04:04,192 - mmdet - INFO - Epoch [9][6550/7330] lr: 1.000e-05, eta: 5:39:03, time: 0.867, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0351, loss_cls: 0.1444, acc: 94.4216, loss_bbox: 0.1979, loss_mask: 0.2105, loss: 0.5989 2024-06-02 15:04:49,499 - mmdet - INFO - Epoch [9][6600/7330] lr: 1.000e-05, eta: 5:38:19, time: 0.906, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0379, loss_cls: 0.1491, acc: 94.2537, loss_bbox: 0.2047, loss_mask: 0.2160, loss: 0.6191 2024-06-02 15:05:35,217 - mmdet - INFO - Epoch [9][6650/7330] lr: 1.000e-05, eta: 5:37:34, time: 0.914, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0375, loss_cls: 0.1527, acc: 94.1792, loss_bbox: 0.2057, loss_mask: 0.2160, loss: 0.6255 2024-06-02 15:06:18,352 - mmdet - INFO - Epoch [9][6700/7330] lr: 1.000e-05, eta: 5:36:49, time: 0.863, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0394, loss_cls: 0.1569, acc: 94.0576, loss_bbox: 0.2112, loss_mask: 0.2195, loss: 0.6404 2024-06-02 15:07:04,084 - mmdet - INFO - Epoch [9][6750/7330] lr: 1.000e-05, eta: 5:36:05, time: 0.915, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0369, loss_cls: 0.1481, acc: 94.3376, loss_bbox: 0.2019, loss_mask: 0.2133, loss: 0.6118 2024-06-02 15:07:51,696 - mmdet - INFO - Epoch [9][6800/7330] lr: 1.000e-05, eta: 5:35:21, time: 0.952, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0404, loss_cls: 0.1506, acc: 94.1648, loss_bbox: 0.2104, loss_mask: 0.2185, loss: 0.6330 2024-06-02 15:08:34,822 - mmdet - INFO - Epoch [9][6850/7330] lr: 1.000e-05, eta: 5:34:36, time: 0.863, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0358, loss_cls: 0.1483, acc: 94.3582, loss_bbox: 0.2024, loss_mask: 0.2145, loss: 0.6137 2024-06-02 15:09:17,897 - mmdet - INFO - Epoch [9][6900/7330] lr: 1.000e-05, eta: 5:33:51, time: 0.862, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0384, loss_cls: 0.1497, acc: 94.3340, loss_bbox: 0.2040, loss_mask: 0.2105, loss: 0.6148 2024-06-02 15:10:01,517 - mmdet - INFO - Epoch [9][6950/7330] lr: 1.000e-05, eta: 5:33:06, time: 0.872, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0404, loss_cls: 0.1553, acc: 94.0437, loss_bbox: 0.2095, loss_mask: 0.2170, loss: 0.6346 2024-06-02 15:10:49,021 - mmdet - INFO - Epoch [9][7000/7330] lr: 1.000e-05, eta: 5:32:22, time: 0.950, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0361, loss_cls: 0.1484, acc: 94.2344, loss_bbox: 0.2073, loss_mask: 0.2141, loss: 0.6180 2024-06-02 15:11:34,682 - mmdet - INFO - Epoch [9][7050/7330] lr: 1.000e-05, eta: 5:31:38, time: 0.913, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0382, loss_cls: 0.1501, acc: 94.1982, loss_bbox: 0.2067, loss_mask: 0.2189, loss: 0.6260 2024-06-02 15:12:20,535 - mmdet - INFO - Epoch [9][7100/7330] lr: 1.000e-05, eta: 5:30:53, time: 0.917, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0395, loss_cls: 0.1513, acc: 94.2600, loss_bbox: 0.2057, loss_mask: 0.2115, loss: 0.6206 2024-06-02 15:13:07,036 - mmdet - INFO - Epoch [9][7150/7330] lr: 1.000e-05, eta: 5:30:09, time: 0.930, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0397, loss_cls: 0.1485, acc: 94.3484, loss_bbox: 0.2046, loss_mask: 0.2179, loss: 0.6237 2024-06-02 15:13:49,935 - mmdet - INFO - Epoch [9][7200/7330] lr: 1.000e-05, eta: 5:29:24, time: 0.858, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0363, loss_cls: 0.1476, acc: 94.3074, loss_bbox: 0.2028, loss_mask: 0.2146, loss: 0.6131 2024-06-02 15:14:38,404 - mmdet - INFO - Epoch [9][7250/7330] lr: 1.000e-05, eta: 5:28:41, time: 0.969, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0360, loss_cls: 0.1419, acc: 94.4985, loss_bbox: 0.1936, loss_mask: 0.2080, loss: 0.5928 2024-06-02 15:15:25,911 - mmdet - INFO - Epoch [9][7300/7330] lr: 1.000e-05, eta: 5:27:57, time: 0.950, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0362, loss_cls: 0.1473, acc: 94.4333, loss_bbox: 0.1979, loss_mask: 0.2114, loss: 0.6050 2024-06-02 15:15:52,764 - mmdet - INFO - Saving checkpoint at 9 epochs 2024-06-02 15:17:56,265 - mmdet - INFO - Evaluating bbox... 2024-06-02 15:18:16,667 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.478 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.705 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.524 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.292 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 ] = 0.658 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.399 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.636 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.763 2024-06-02 15:18:16,667 - mmdet - INFO - Evaluating segm... 2024-06-02 15:18:42,165 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.427 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.671 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.455 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.210 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.458 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.644 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.330 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.721 2024-06-02 15:18:42,484 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 15:18:42,486 - mmdet - INFO - Epoch(val) [9][625] bbox_mAP: 0.4780, bbox_mAP_50: 0.7050, bbox_mAP_75: 0.5240, bbox_mAP_s: 0.2920, bbox_mAP_m: 0.5150, bbox_mAP_l: 0.6580, bbox_mAP_copypaste: 0.478 0.705 0.524 0.292 0.515 0.658, segm_mAP: 0.4270, segm_mAP_50: 0.6710, segm_mAP_75: 0.4550, segm_mAP_s: 0.2100, segm_mAP_m: 0.4580, segm_mAP_l: 0.6440, segm_mAP_copypaste: 0.427 0.671 0.455 0.210 0.458 0.644 2024-06-02 15:19:30,532 - mmdet - INFO - Epoch [10][50/7330] lr: 1.000e-05, eta: 5:26:38, time: 0.960, data_time: 0.108, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0358, loss_cls: 0.1456, acc: 94.3857, loss_bbox: 0.2018, loss_mask: 0.2143, loss: 0.6086 2024-06-02 15:20:13,543 - mmdet - INFO - Epoch [10][100/7330] lr: 1.000e-05, eta: 5:25:52, time: 0.860, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0357, loss_cls: 0.1470, acc: 94.2720, loss_bbox: 0.2065, loss_mask: 0.2145, loss: 0.6151 2024-06-02 15:20:56,928 - mmdet - INFO - Epoch [10][150/7330] lr: 1.000e-05, eta: 5:25:07, time: 0.868, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0395, loss_cls: 0.1487, acc: 94.2769, loss_bbox: 0.2036, loss_mask: 0.2101, loss: 0.6142 2024-06-02 15:21:40,179 - mmdet - INFO - Epoch [10][200/7330] lr: 1.000e-05, eta: 5:24:22, time: 0.865, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0386, loss_cls: 0.1478, acc: 94.3286, loss_bbox: 0.2052, loss_mask: 0.2167, loss: 0.6196 2024-06-02 15:22:24,176 - mmdet - INFO - Epoch [10][250/7330] lr: 1.000e-05, eta: 5:23:37, time: 0.880, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0369, loss_cls: 0.1458, acc: 94.4133, loss_bbox: 0.2001, loss_mask: 0.2102, loss: 0.6047 2024-06-02 15:23:07,841 - mmdet - INFO - Epoch [10][300/7330] lr: 1.000e-05, eta: 5:22:52, time: 0.873, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0378, loss_cls: 0.1462, acc: 94.3716, loss_bbox: 0.1998, loss_mask: 0.2142, loss: 0.6090 2024-06-02 15:23:50,753 - mmdet - INFO - Epoch [10][350/7330] lr: 1.000e-05, eta: 5:22:07, time: 0.858, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0363, loss_cls: 0.1459, acc: 94.3647, loss_bbox: 0.2035, loss_mask: 0.2142, loss: 0.6105 2024-06-02 15:24:33,312 - mmdet - INFO - Epoch [10][400/7330] lr: 1.000e-05, eta: 5:21:22, time: 0.851, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0336, loss_cls: 0.1391, acc: 94.6353, loss_bbox: 0.1908, loss_mask: 0.2093, loss: 0.5834 2024-06-02 15:25:18,668 - mmdet - INFO - Epoch [10][450/7330] lr: 1.000e-05, eta: 5:20:37, time: 0.907, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0372, loss_cls: 0.1482, acc: 94.3176, loss_bbox: 0.2021, loss_mask: 0.2109, loss: 0.6098 2024-06-02 15:26:02,253 - mmdet - INFO - Epoch [10][500/7330] lr: 1.000e-05, eta: 5:19:52, time: 0.872, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0371, loss_cls: 0.1458, acc: 94.4600, loss_bbox: 0.1988, loss_mask: 0.2111, loss: 0.6058 2024-06-02 15:26:52,632 - mmdet - INFO - Epoch [10][550/7330] lr: 1.000e-05, eta: 5:19:10, time: 1.008, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0367, loss_cls: 0.1428, acc: 94.4888, loss_bbox: 0.1992, loss_mask: 0.2074, loss: 0.5976 2024-06-02 15:27:35,618 - mmdet - INFO - Epoch [10][600/7330] lr: 1.000e-05, eta: 5:18:24, time: 0.860, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0362, loss_cls: 0.1435, acc: 94.4797, loss_bbox: 0.1965, loss_mask: 0.2092, loss: 0.5969 2024-06-02 15:28:18,200 - mmdet - INFO - Epoch [10][650/7330] lr: 1.000e-05, eta: 5:17:39, time: 0.852, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0352, loss_cls: 0.1435, acc: 94.4412, loss_bbox: 0.1951, loss_mask: 0.2128, loss: 0.5969 2024-06-02 15:29:05,625 - mmdet - INFO - Epoch [10][700/7330] lr: 1.000e-05, eta: 5:16:55, time: 0.949, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0366, loss_cls: 0.1459, acc: 94.4282, loss_bbox: 0.2020, loss_mask: 0.2140, loss: 0.6103 2024-06-02 15:29:48,615 - mmdet - INFO - Epoch [10][750/7330] lr: 1.000e-05, eta: 5:16:10, time: 0.860, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0387, loss_cls: 0.1458, acc: 94.3455, loss_bbox: 0.2021, loss_mask: 0.2094, loss: 0.6069 2024-06-02 15:30:37,012 - mmdet - INFO - Epoch [10][800/7330] lr: 1.000e-05, eta: 5:15:27, time: 0.968, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0373, loss_cls: 0.1503, acc: 94.2505, loss_bbox: 0.2014, loss_mask: 0.2146, loss: 0.6164 2024-06-02 15:31:20,255 - mmdet - INFO - Epoch [10][850/7330] lr: 1.000e-05, eta: 5:14:42, time: 0.865, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0384, loss_cls: 0.1512, acc: 94.1589, loss_bbox: 0.2077, loss_mask: 0.2200, loss: 0.6292 2024-06-02 15:32:02,900 - mmdet - INFO - Epoch [10][900/7330] lr: 1.000e-05, eta: 5:13:56, time: 0.853, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0344, loss_cls: 0.1367, acc: 94.7253, loss_bbox: 0.1898, loss_mask: 0.2079, loss: 0.5791 2024-06-02 15:32:45,655 - mmdet - INFO - Epoch [10][950/7330] lr: 1.000e-05, eta: 5:13:11, time: 0.855, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0370, loss_cls: 0.1469, acc: 94.3699, loss_bbox: 0.2009, loss_mask: 0.2131, loss: 0.6089 2024-06-02 15:33:29,152 - mmdet - INFO - Epoch [10][1000/7330] lr: 1.000e-05, eta: 5:12:26, time: 0.870, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0385, loss_cls: 0.1483, acc: 94.2949, loss_bbox: 0.2034, loss_mask: 0.2120, loss: 0.6148 2024-06-02 15:34:16,709 - mmdet - INFO - Epoch [10][1050/7330] lr: 1.000e-05, eta: 5:11:42, time: 0.951, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0392, loss_cls: 0.1543, acc: 94.0557, loss_bbox: 0.2085, loss_mask: 0.2163, loss: 0.6318 2024-06-02 15:34:59,669 - mmdet - INFO - Epoch [10][1100/7330] lr: 1.000e-05, eta: 5:10:57, time: 0.859, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0372, loss_cls: 0.1459, acc: 94.4570, loss_bbox: 0.2015, loss_mask: 0.2142, loss: 0.6106 2024-06-02 15:35:48,388 - mmdet - INFO - Epoch [10][1150/7330] lr: 1.000e-05, eta: 5:10:14, time: 0.974, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0368, loss_cls: 0.1469, acc: 94.2927, loss_bbox: 0.2017, loss_mask: 0.2138, loss: 0.6103 2024-06-02 15:36:31,486 - mmdet - INFO - Epoch [10][1200/7330] lr: 1.000e-05, eta: 5:09:28, time: 0.862, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0372, loss_cls: 0.1466, acc: 94.3955, loss_bbox: 0.1997, loss_mask: 0.2149, loss: 0.6098 2024-06-02 15:37:20,508 - mmdet - INFO - Epoch [10][1250/7330] lr: 1.000e-05, eta: 5:08:45, time: 0.980, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0403, loss_cls: 0.1539, acc: 94.1868, loss_bbox: 0.2085, loss_mask: 0.2230, loss: 0.6397 2024-06-02 15:38:06,742 - mmdet - INFO - Epoch [10][1300/7330] lr: 1.000e-05, eta: 5:08:01, time: 0.925, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0379, loss_cls: 0.1444, acc: 94.4565, loss_bbox: 0.1928, loss_mask: 0.2102, loss: 0.5966 2024-06-02 15:38:50,423 - mmdet - INFO - Epoch [10][1350/7330] lr: 1.000e-05, eta: 5:07:16, time: 0.874, data_time: 0.069, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0376, loss_cls: 0.1480, acc: 94.3540, loss_bbox: 0.2035, loss_mask: 0.2157, loss: 0.6161 2024-06-02 15:39:35,449 - mmdet - INFO - Epoch [10][1400/7330] lr: 1.000e-05, eta: 5:06:31, time: 0.901, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0360, loss_cls: 0.1459, acc: 94.3574, loss_bbox: 0.1996, loss_mask: 0.2082, loss: 0.6012 2024-06-02 15:40:18,732 - mmdet - INFO - Epoch [10][1450/7330] lr: 1.000e-05, eta: 5:05:46, time: 0.866, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0372, loss_cls: 0.1463, acc: 94.4180, loss_bbox: 0.1989, loss_mask: 0.2161, loss: 0.6107 2024-06-02 15:41:01,680 - mmdet - INFO - Epoch [10][1500/7330] lr: 1.000e-05, eta: 5:05:01, time: 0.859, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0383, loss_cls: 0.1440, acc: 94.4844, loss_bbox: 0.1961, loss_mask: 0.2129, loss: 0.6031 2024-06-02 15:41:47,186 - mmdet - INFO - Epoch [10][1550/7330] lr: 1.000e-05, eta: 5:04:17, time: 0.910, data_time: 0.066, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0380, loss_cls: 0.1531, acc: 94.0935, loss_bbox: 0.2112, loss_mask: 0.2119, loss: 0.6263 2024-06-02 15:42:29,873 - mmdet - INFO - Epoch [10][1600/7330] lr: 1.000e-05, eta: 5:03:32, time: 0.854, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0360, loss_cls: 0.1433, acc: 94.4561, loss_bbox: 0.1959, loss_mask: 0.2143, loss: 0.6012 2024-06-02 15:43:14,507 - mmdet - INFO - Epoch [10][1650/7330] lr: 1.000e-05, eta: 5:02:47, time: 0.893, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0348, loss_cls: 0.1401, acc: 94.6970, loss_bbox: 0.1898, loss_mask: 0.2059, loss: 0.5812 2024-06-02 15:43:58,172 - mmdet - INFO - Epoch [10][1700/7330] lr: 1.000e-05, eta: 5:02:02, time: 0.873, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0387, loss_cls: 0.1510, acc: 94.2354, loss_bbox: 0.2045, loss_mask: 0.2138, loss: 0.6195 2024-06-02 15:44:49,046 - mmdet - INFO - Epoch [10][1750/7330] lr: 1.000e-05, eta: 5:01:19, time: 1.018, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0387, loss_cls: 0.1438, acc: 94.4709, loss_bbox: 0.2019, loss_mask: 0.2159, loss: 0.6116 2024-06-02 15:45:36,106 - mmdet - INFO - Epoch [10][1800/7330] lr: 1.000e-05, eta: 5:00:35, time: 0.941, data_time: 0.065, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0370, loss_cls: 0.1467, acc: 94.3247, loss_bbox: 0.2019, loss_mask: 0.2102, loss: 0.6065 2024-06-02 15:46:19,640 - mmdet - INFO - Epoch [10][1850/7330] lr: 1.000e-05, eta: 4:59:50, time: 0.871, data_time: 0.076, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0374, loss_cls: 0.1444, acc: 94.4995, loss_bbox: 0.1972, loss_mask: 0.2151, loss: 0.6063 2024-06-02 15:47:02,403 - mmdet - INFO - Epoch [10][1900/7330] lr: 1.000e-05, eta: 4:59:05, time: 0.855, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0362, loss_cls: 0.1418, acc: 94.5867, loss_bbox: 0.1981, loss_mask: 0.2110, loss: 0.5980 2024-06-02 15:47:45,597 - mmdet - INFO - Epoch [10][1950/7330] lr: 1.000e-05, eta: 4:58:20, time: 0.864, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0405, loss_cls: 0.1544, acc: 94.2178, loss_bbox: 0.2084, loss_mask: 0.2168, loss: 0.6336 2024-06-02 15:48:30,892 - mmdet - INFO - Epoch [10][2000/7330] lr: 1.000e-05, eta: 4:57:35, time: 0.906, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0394, loss_cls: 0.1546, acc: 94.0469, loss_bbox: 0.2067, loss_mask: 0.2130, loss: 0.6261 2024-06-02 15:49:13,675 - mmdet - INFO - Epoch [10][2050/7330] lr: 1.000e-05, eta: 4:56:50, time: 0.856, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0366, loss_cls: 0.1446, acc: 94.4333, loss_bbox: 0.2009, loss_mask: 0.2092, loss: 0.6025 2024-06-02 15:49:56,590 - mmdet - INFO - Epoch [10][2100/7330] lr: 1.000e-05, eta: 4:56:05, time: 0.858, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0377, loss_cls: 0.1424, acc: 94.4312, loss_bbox: 0.1971, loss_mask: 0.2117, loss: 0.6003 2024-06-02 15:50:42,119 - mmdet - INFO - Epoch [10][2150/7330] lr: 1.000e-05, eta: 4:55:21, time: 0.910, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0360, loss_cls: 0.1473, acc: 94.3755, loss_bbox: 0.1995, loss_mask: 0.2097, loss: 0.6048 2024-06-02 15:51:25,279 - mmdet - INFO - Epoch [10][2200/7330] lr: 1.000e-05, eta: 4:54:35, time: 0.863, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0389, loss_cls: 0.1512, acc: 94.1770, loss_bbox: 0.2056, loss_mask: 0.2172, loss: 0.6250 2024-06-02 15:52:13,436 - mmdet - INFO - Epoch [10][2250/7330] lr: 1.000e-05, eta: 4:53:52, time: 0.963, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0372, loss_cls: 0.1449, acc: 94.4265, loss_bbox: 0.1955, loss_mask: 0.2067, loss: 0.5965 2024-06-02 15:52:56,136 - mmdet - INFO - Epoch [10][2300/7330] lr: 1.000e-05, eta: 4:53:07, time: 0.854, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0355, loss_cls: 0.1381, acc: 94.7026, loss_bbox: 0.1924, loss_mask: 0.2097, loss: 0.5867 2024-06-02 15:53:48,717 - mmdet - INFO - Epoch [10][2350/7330] lr: 1.000e-05, eta: 4:52:24, time: 1.052, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0384, loss_cls: 0.1459, acc: 94.3818, loss_bbox: 0.1998, loss_mask: 0.2126, loss: 0.6082 2024-06-02 15:54:31,601 - mmdet - INFO - Epoch [10][2400/7330] lr: 1.000e-05, eta: 4:51:39, time: 0.858, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0366, loss_cls: 0.1443, acc: 94.3523, loss_bbox: 0.1990, loss_mask: 0.2119, loss: 0.6039 2024-06-02 15:55:14,323 - mmdet - INFO - Epoch [10][2450/7330] lr: 1.000e-05, eta: 4:50:54, time: 0.854, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0372, loss_cls: 0.1456, acc: 94.4233, loss_bbox: 0.2025, loss_mask: 0.2150, loss: 0.6107 2024-06-02 15:55:57,747 - mmdet - INFO - Epoch [10][2500/7330] lr: 1.000e-05, eta: 4:50:09, time: 0.869, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0400, loss_cls: 0.1548, acc: 94.0488, loss_bbox: 0.2061, loss_mask: 0.2165, loss: 0.6296 2024-06-02 15:56:40,814 - mmdet - INFO - Epoch [10][2550/7330] lr: 1.000e-05, eta: 4:49:24, time: 0.861, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0384, loss_cls: 0.1472, acc: 94.2983, loss_bbox: 0.2050, loss_mask: 0.2118, loss: 0.6145 2024-06-02 15:57:25,852 - mmdet - INFO - Epoch [10][2600/7330] lr: 1.000e-05, eta: 4:48:39, time: 0.901, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0396, loss_cls: 0.1515, acc: 94.1729, loss_bbox: 0.2052, loss_mask: 0.2172, loss: 0.6259 2024-06-02 15:58:08,808 - mmdet - INFO - Epoch [10][2650/7330] lr: 1.000e-05, eta: 4:47:54, time: 0.859, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0368, loss_cls: 0.1433, acc: 94.4978, loss_bbox: 0.1983, loss_mask: 0.2123, loss: 0.6026 2024-06-02 15:58:54,087 - mmdet - INFO - Epoch [10][2700/7330] lr: 1.000e-05, eta: 4:47:10, time: 0.906, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0382, loss_cls: 0.1460, acc: 94.3853, loss_bbox: 0.1980, loss_mask: 0.2117, loss: 0.6056 2024-06-02 15:59:36,906 - mmdet - INFO - Epoch [10][2750/7330] lr: 1.000e-05, eta: 4:46:24, time: 0.856, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0361, loss_cls: 0.1400, acc: 94.5835, loss_bbox: 0.1925, loss_mask: 0.2077, loss: 0.5876 2024-06-02 16:00:20,047 - mmdet - INFO - Epoch [10][2800/7330] lr: 1.000e-05, eta: 4:45:39, time: 0.863, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0353, loss_cls: 0.1411, acc: 94.6240, loss_bbox: 0.1958, loss_mask: 0.2115, loss: 0.5956 2024-06-02 16:01:07,979 - mmdet - INFO - Epoch [10][2850/7330] lr: 1.000e-05, eta: 4:44:55, time: 0.959, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0387, loss_cls: 0.1513, acc: 94.1965, loss_bbox: 0.2064, loss_mask: 0.2166, loss: 0.6253 2024-06-02 16:01:55,603 - mmdet - INFO - Epoch [10][2900/7330] lr: 1.000e-05, eta: 4:44:12, time: 0.952, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0381, loss_cls: 0.1505, acc: 94.2925, loss_bbox: 0.2050, loss_mask: 0.2139, loss: 0.6188 2024-06-02 16:02:43,409 - mmdet - INFO - Epoch [10][2950/7330] lr: 1.000e-05, eta: 4:43:28, time: 0.956, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0360, loss_cls: 0.1403, acc: 94.5852, loss_bbox: 0.1900, loss_mask: 0.2064, loss: 0.5838 2024-06-02 16:03:26,589 - mmdet - INFO - Epoch [10][3000/7330] lr: 1.000e-05, eta: 4:42:43, time: 0.864, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0376, loss_cls: 0.1448, acc: 94.4241, loss_bbox: 0.1982, loss_mask: 0.2086, loss: 0.6020 2024-06-02 16:04:09,752 - mmdet - INFO - Epoch [10][3050/7330] lr: 1.000e-05, eta: 4:41:58, time: 0.863, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0373, loss_cls: 0.1479, acc: 94.2905, loss_bbox: 0.2019, loss_mask: 0.2099, loss: 0.6087 2024-06-02 16:04:52,505 - mmdet - INFO - Epoch [10][3100/7330] lr: 1.000e-05, eta: 4:41:13, time: 0.855, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0373, loss_cls: 0.1491, acc: 94.1980, loss_bbox: 0.2035, loss_mask: 0.2139, loss: 0.6161 2024-06-02 16:05:35,625 - mmdet - INFO - Epoch [10][3150/7330] lr: 1.000e-05, eta: 4:40:27, time: 0.862, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0364, loss_cls: 0.1422, acc: 94.5342, loss_bbox: 0.1968, loss_mask: 0.2149, loss: 0.6021 2024-06-02 16:06:23,241 - mmdet - INFO - Epoch [10][3200/7330] lr: 1.000e-05, eta: 4:39:44, time: 0.952, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0361, loss_cls: 0.1450, acc: 94.4177, loss_bbox: 0.1991, loss_mask: 0.2094, loss: 0.6011 2024-06-02 16:07:06,283 - mmdet - INFO - Epoch [10][3250/7330] lr: 1.000e-05, eta: 4:38:58, time: 0.861, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0376, loss_cls: 0.1490, acc: 94.2908, loss_bbox: 0.1995, loss_mask: 0.2126, loss: 0.6104 2024-06-02 16:07:48,985 - mmdet - INFO - Epoch [10][3300/7330] lr: 1.000e-05, eta: 4:38:13, time: 0.854, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0340, loss_cls: 0.1429, acc: 94.5410, loss_bbox: 0.1929, loss_mask: 0.2079, loss: 0.5888 2024-06-02 16:08:46,934 - mmdet - INFO - Epoch [10][3350/7330] lr: 1.000e-05, eta: 4:37:32, time: 1.159, data_time: 0.350, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0361, loss_cls: 0.1396, acc: 94.6626, loss_bbox: 0.1932, loss_mask: 0.2108, loss: 0.5914 2024-06-02 16:09:32,381 - mmdet - INFO - Epoch [10][3400/7330] lr: 1.000e-05, eta: 4:36:48, time: 0.909, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0391, loss_cls: 0.1504, acc: 94.2759, loss_bbox: 0.2051, loss_mask: 0.2191, loss: 0.6258 2024-06-02 16:10:17,889 - mmdet - INFO - Epoch [10][3450/7330] lr: 1.000e-05, eta: 4:36:03, time: 0.910, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0355, loss_cls: 0.1397, acc: 94.6946, loss_bbox: 0.1870, loss_mask: 0.2068, loss: 0.5821 2024-06-02 16:11:06,181 - mmdet - INFO - Epoch [10][3500/7330] lr: 1.000e-05, eta: 4:35:20, time: 0.966, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0379, loss_cls: 0.1462, acc: 94.3542, loss_bbox: 0.1992, loss_mask: 0.2123, loss: 0.6068 2024-06-02 16:11:54,810 - mmdet - INFO - Epoch [10][3550/7330] lr: 1.000e-05, eta: 4:34:36, time: 0.972, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0377, loss_cls: 0.1416, acc: 94.5264, loss_bbox: 0.1934, loss_mask: 0.2148, loss: 0.5996 2024-06-02 16:12:38,197 - mmdet - INFO - Epoch [10][3600/7330] lr: 1.000e-05, eta: 4:33:51, time: 0.868, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0357, loss_cls: 0.1430, acc: 94.4292, loss_bbox: 0.2007, loss_mask: 0.2056, loss: 0.5958 2024-06-02 16:13:22,093 - mmdet - INFO - Epoch [10][3650/7330] lr: 1.000e-05, eta: 4:33:06, time: 0.878, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0376, loss_cls: 0.1476, acc: 94.3164, loss_bbox: 0.2042, loss_mask: 0.2135, loss: 0.6137 2024-06-02 16:14:07,960 - mmdet - INFO - Epoch [10][3700/7330] lr: 1.000e-05, eta: 4:32:22, time: 0.917, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0372, loss_cls: 0.1472, acc: 94.3135, loss_bbox: 0.2009, loss_mask: 0.2090, loss: 0.6057 2024-06-02 16:14:51,139 - mmdet - INFO - Epoch [10][3750/7330] lr: 1.000e-05, eta: 4:31:37, time: 0.864, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0371, loss_cls: 0.1445, acc: 94.4858, loss_bbox: 0.1960, loss_mask: 0.2127, loss: 0.6018 2024-06-02 16:15:36,948 - mmdet - INFO - Epoch [10][3800/7330] lr: 1.000e-05, eta: 4:30:52, time: 0.916, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0367, loss_cls: 0.1392, acc: 94.5947, loss_bbox: 0.1916, loss_mask: 0.2115, loss: 0.5902 2024-06-02 16:16:21,286 - mmdet - INFO - Epoch [10][3850/7330] lr: 1.000e-05, eta: 4:30:08, time: 0.887, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0382, loss_cls: 0.1514, acc: 94.2463, loss_bbox: 0.2077, loss_mask: 0.2134, loss: 0.6227 2024-06-02 16:17:04,549 - mmdet - INFO - Epoch [10][3900/7330] lr: 1.000e-05, eta: 4:29:22, time: 0.865, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0378, loss_cls: 0.1478, acc: 94.2551, loss_bbox: 0.2059, loss_mask: 0.2122, loss: 0.6153 2024-06-02 16:17:50,317 - mmdet - INFO - Epoch [10][3950/7330] lr: 1.000e-05, eta: 4:28:38, time: 0.916, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0386, loss_cls: 0.1479, acc: 94.2290, loss_bbox: 0.2054, loss_mask: 0.2155, loss: 0.6191 2024-06-02 16:18:36,105 - mmdet - INFO - Epoch [10][4000/7330] lr: 1.000e-05, eta: 4:27:54, time: 0.916, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0380, loss_cls: 0.1493, acc: 94.2974, loss_bbox: 0.2007, loss_mask: 0.2115, loss: 0.6116 2024-06-02 16:19:20,387 - mmdet - INFO - Epoch [10][4050/7330] lr: 1.000e-05, eta: 4:27:09, time: 0.886, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0393, loss_cls: 0.1567, acc: 93.9834, loss_bbox: 0.2100, loss_mask: 0.2179, loss: 0.6361 2024-06-02 16:20:08,956 - mmdet - INFO - Epoch [10][4100/7330] lr: 1.000e-05, eta: 4:26:25, time: 0.971, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0363, loss_cls: 0.1437, acc: 94.4980, loss_bbox: 0.1955, loss_mask: 0.2090, loss: 0.5957 2024-06-02 16:20:53,060 - mmdet - INFO - Epoch [10][4150/7330] lr: 1.000e-05, eta: 4:25:40, time: 0.882, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0370, loss_cls: 0.1491, acc: 94.2144, loss_bbox: 0.2055, loss_mask: 0.2147, loss: 0.6183 2024-06-02 16:21:41,675 - mmdet - INFO - Epoch [10][4200/7330] lr: 1.000e-05, eta: 4:24:57, time: 0.972, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0394, loss_cls: 0.1489, acc: 94.2290, loss_bbox: 0.2073, loss_mask: 0.2164, loss: 0.6243 2024-06-02 16:22:24,788 - mmdet - INFO - Epoch [10][4250/7330] lr: 1.000e-05, eta: 4:24:12, time: 0.862, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0375, loss_cls: 0.1469, acc: 94.3401, loss_bbox: 0.2027, loss_mask: 0.2180, loss: 0.6177 2024-06-02 16:23:08,544 - mmdet - INFO - Epoch [10][4300/7330] lr: 1.000e-05, eta: 4:23:27, time: 0.875, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0360, loss_cls: 0.1405, acc: 94.5947, loss_bbox: 0.1934, loss_mask: 0.2088, loss: 0.5909 2024-06-02 16:23:55,269 - mmdet - INFO - Epoch [10][4350/7330] lr: 1.000e-05, eta: 4:22:43, time: 0.935, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0405, loss_cls: 0.1527, acc: 94.1243, loss_bbox: 0.2065, loss_mask: 0.2180, loss: 0.6296 2024-06-02 16:24:40,907 - mmdet - INFO - Epoch [10][4400/7330] lr: 1.000e-05, eta: 4:21:58, time: 0.913, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0356, loss_cls: 0.1440, acc: 94.4690, loss_bbox: 0.1948, loss_mask: 0.2128, loss: 0.5989 2024-06-02 16:25:24,273 - mmdet - INFO - Epoch [10][4450/7330] lr: 1.000e-05, eta: 4:21:13, time: 0.867, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0369, loss_cls: 0.1445, acc: 94.5317, loss_bbox: 0.1952, loss_mask: 0.2123, loss: 0.5998 2024-06-02 16:26:09,874 - mmdet - INFO - Epoch [10][4500/7330] lr: 1.000e-05, eta: 4:20:29, time: 0.912, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0367, loss_cls: 0.1471, acc: 94.3560, loss_bbox: 0.2002, loss_mask: 0.2121, loss: 0.6074 2024-06-02 16:26:53,174 - mmdet - INFO - Epoch [10][4550/7330] lr: 1.000e-05, eta: 4:19:44, time: 0.866, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0376, loss_cls: 0.1478, acc: 94.2598, loss_bbox: 0.2047, loss_mask: 0.2169, loss: 0.6181 2024-06-02 16:27:38,670 - mmdet - INFO - Epoch [10][4600/7330] lr: 1.000e-05, eta: 4:18:59, time: 0.910, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0363, loss_cls: 0.1432, acc: 94.5083, loss_bbox: 0.1969, loss_mask: 0.2090, loss: 0.5967 2024-06-02 16:28:22,233 - mmdet - INFO - Epoch [10][4650/7330] lr: 1.000e-05, eta: 4:18:14, time: 0.871, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0387, loss_cls: 0.1556, acc: 94.0935, loss_bbox: 0.2075, loss_mask: 0.2099, loss: 0.6236 2024-06-02 16:29:14,238 - mmdet - INFO - Epoch [10][4700/7330] lr: 1.000e-05, eta: 4:17:31, time: 1.040, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0388, loss_cls: 0.1536, acc: 94.1094, loss_bbox: 0.2128, loss_mask: 0.2193, loss: 0.6371 2024-06-02 16:29:57,456 - mmdet - INFO - Epoch [10][4750/7330] lr: 1.000e-05, eta: 4:16:46, time: 0.864, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0378, loss_cls: 0.1448, acc: 94.3330, loss_bbox: 0.1995, loss_mask: 0.2129, loss: 0.6058 2024-06-02 16:30:43,729 - mmdet - INFO - Epoch [10][4800/7330] lr: 1.000e-05, eta: 4:16:02, time: 0.925, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0360, loss_cls: 0.1437, acc: 94.4282, loss_bbox: 0.1974, loss_mask: 0.2071, loss: 0.5957 2024-06-02 16:31:27,283 - mmdet - INFO - Epoch [10][4850/7330] lr: 1.000e-05, eta: 4:15:17, time: 0.871, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0361, loss_cls: 0.1403, acc: 94.6467, loss_bbox: 0.1929, loss_mask: 0.2102, loss: 0.5912 2024-06-02 16:32:10,528 - mmdet - INFO - Epoch [10][4900/7330] lr: 1.000e-05, eta: 4:14:32, time: 0.865, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0359, loss_cls: 0.1464, acc: 94.3594, loss_bbox: 0.2025, loss_mask: 0.2119, loss: 0.6087 2024-06-02 16:32:58,131 - mmdet - INFO - Epoch [10][4950/7330] lr: 1.000e-05, eta: 4:13:48, time: 0.952, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0384, loss_cls: 0.1499, acc: 94.2480, loss_bbox: 0.2054, loss_mask: 0.2137, loss: 0.6188 2024-06-02 16:33:41,414 - mmdet - INFO - Epoch [10][5000/7330] lr: 1.000e-05, eta: 4:13:03, time: 0.866, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0410, loss_cls: 0.1534, acc: 94.1006, loss_bbox: 0.2120, loss_mask: 0.2161, loss: 0.6346 2024-06-02 16:34:25,046 - mmdet - INFO - Epoch [10][5050/7330] lr: 1.000e-05, eta: 4:12:18, time: 0.872, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0356, loss_cls: 0.1428, acc: 94.5342, loss_bbox: 0.1954, loss_mask: 0.2105, loss: 0.5955 2024-06-02 16:35:11,550 - mmdet - INFO - Epoch [10][5100/7330] lr: 1.000e-05, eta: 4:11:34, time: 0.931, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0389, loss_cls: 0.1517, acc: 94.1575, loss_bbox: 0.2061, loss_mask: 0.2188, loss: 0.6290 2024-06-02 16:35:54,406 - mmdet - INFO - Epoch [10][5150/7330] lr: 1.000e-05, eta: 4:10:49, time: 0.857, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0358, loss_cls: 0.1413, acc: 94.5598, loss_bbox: 0.1904, loss_mask: 0.2074, loss: 0.5855 2024-06-02 16:36:38,936 - mmdet - INFO - Epoch [10][5200/7330] lr: 1.000e-05, eta: 4:10:04, time: 0.890, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0336, loss_cls: 0.1391, acc: 94.6077, loss_bbox: 0.1913, loss_mask: 0.2109, loss: 0.5854 2024-06-02 16:37:22,191 - mmdet - INFO - Epoch [10][5250/7330] lr: 1.000e-05, eta: 4:09:19, time: 0.865, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0371, loss_cls: 0.1436, acc: 94.5496, loss_bbox: 0.1939, loss_mask: 0.2084, loss: 0.5947 2024-06-02 16:38:17,518 - mmdet - INFO - Epoch [10][5300/7330] lr: 1.000e-05, eta: 4:08:37, time: 1.107, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0372, loss_cls: 0.1483, acc: 94.2573, loss_bbox: 0.2018, loss_mask: 0.2104, loss: 0.6103 2024-06-02 16:39:01,144 - mmdet - INFO - Epoch [10][5350/7330] lr: 1.000e-05, eta: 4:07:52, time: 0.872, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0371, loss_cls: 0.1434, acc: 94.5046, loss_bbox: 0.2006, loss_mask: 0.2121, loss: 0.6049 2024-06-02 16:39:44,632 - mmdet - INFO - Epoch [10][5400/7330] lr: 1.000e-05, eta: 4:07:07, time: 0.870, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0360, loss_cls: 0.1485, acc: 94.3516, loss_bbox: 0.2043, loss_mask: 0.2121, loss: 0.6125 2024-06-02 16:40:28,149 - mmdet - INFO - Epoch [10][5450/7330] lr: 1.000e-05, eta: 4:06:22, time: 0.870, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0382, loss_cls: 0.1455, acc: 94.4915, loss_bbox: 0.1945, loss_mask: 0.2113, loss: 0.6026 2024-06-02 16:41:11,278 - mmdet - INFO - Epoch [10][5500/7330] lr: 1.000e-05, eta: 4:05:37, time: 0.863, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0368, loss_cls: 0.1443, acc: 94.4893, loss_bbox: 0.2004, loss_mask: 0.2083, loss: 0.6013 2024-06-02 16:42:00,853 - mmdet - INFO - Epoch [10][5550/7330] lr: 1.000e-05, eta: 4:04:53, time: 0.991, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0391, loss_cls: 0.1474, acc: 94.2769, loss_bbox: 0.2057, loss_mask: 0.2142, loss: 0.6182 2024-06-02 16:42:45,928 - mmdet - INFO - Epoch [10][5600/7330] lr: 1.000e-05, eta: 4:04:09, time: 0.902, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0391, loss_cls: 0.1468, acc: 94.3445, loss_bbox: 0.2032, loss_mask: 0.2184, loss: 0.6197 2024-06-02 16:43:29,613 - mmdet - INFO - Epoch [10][5650/7330] lr: 1.000e-05, eta: 4:03:24, time: 0.874, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0377, loss_cls: 0.1467, acc: 94.3804, loss_bbox: 0.2003, loss_mask: 0.2110, loss: 0.6073 2024-06-02 16:44:15,361 - mmdet - INFO - Epoch [10][5700/7330] lr: 1.000e-05, eta: 4:02:39, time: 0.915, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0356, loss_cls: 0.1426, acc: 94.5737, loss_bbox: 0.1944, loss_mask: 0.2071, loss: 0.5915 2024-06-02 16:44:58,858 - mmdet - INFO - Epoch [10][5750/7330] lr: 1.000e-05, eta: 4:01:54, time: 0.870, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0353, loss_cls: 0.1408, acc: 94.6162, loss_bbox: 0.1920, loss_mask: 0.2084, loss: 0.5880 2024-06-02 16:45:42,540 - mmdet - INFO - Epoch [10][5800/7330] lr: 1.000e-05, eta: 4:01:09, time: 0.874, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0390, loss_cls: 0.1518, acc: 94.1638, loss_bbox: 0.2079, loss_mask: 0.2166, loss: 0.6282 2024-06-02 16:46:27,906 - mmdet - INFO - Epoch [10][5850/7330] lr: 1.000e-05, eta: 4:00:25, time: 0.907, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0352, loss_cls: 0.1461, acc: 94.4138, loss_bbox: 0.1985, loss_mask: 0.2148, loss: 0.6068 2024-06-02 16:47:17,270 - mmdet - INFO - Epoch [10][5900/7330] lr: 1.000e-05, eta: 3:59:41, time: 0.987, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0349, loss_cls: 0.1349, acc: 94.8264, loss_bbox: 0.1885, loss_mask: 0.2068, loss: 0.5761 2024-06-02 16:48:00,729 - mmdet - INFO - Epoch [10][5950/7330] lr: 1.000e-05, eta: 3:58:56, time: 0.870, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0386, loss_cls: 0.1475, acc: 94.3450, loss_bbox: 0.2012, loss_mask: 0.2109, loss: 0.6112 2024-06-02 16:48:44,113 - mmdet - INFO - Epoch [10][6000/7330] lr: 1.000e-05, eta: 3:58:11, time: 0.868, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0357, loss_cls: 0.1404, acc: 94.6260, loss_bbox: 0.1920, loss_mask: 0.2090, loss: 0.5894 2024-06-02 16:49:30,081 - mmdet - INFO - Epoch [10][6050/7330] lr: 1.000e-05, eta: 3:57:27, time: 0.919, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0374, loss_cls: 0.1449, acc: 94.4141, loss_bbox: 0.2012, loss_mask: 0.2108, loss: 0.6067 2024-06-02 16:50:13,264 - mmdet - INFO - Epoch [10][6100/7330] lr: 1.000e-05, eta: 3:56:42, time: 0.864, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0378, loss_cls: 0.1437, acc: 94.5393, loss_bbox: 0.1927, loss_mask: 0.2102, loss: 0.5968 2024-06-02 16:50:59,055 - mmdet - INFO - Epoch [10][6150/7330] lr: 1.000e-05, eta: 3:55:57, time: 0.916, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0360, loss_cls: 0.1453, acc: 94.3401, loss_bbox: 0.2044, loss_mask: 0.2108, loss: 0.6072 2024-06-02 16:51:44,670 - mmdet - INFO - Epoch [10][6200/7330] lr: 1.000e-05, eta: 3:55:13, time: 0.912, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0393, loss_cls: 0.1558, acc: 94.0850, loss_bbox: 0.2079, loss_mask: 0.2181, loss: 0.6331 2024-06-02 16:52:30,533 - mmdet - INFO - Epoch [10][6250/7330] lr: 1.000e-05, eta: 3:54:29, time: 0.917, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0371, loss_cls: 0.1502, acc: 94.3054, loss_bbox: 0.2025, loss_mask: 0.2160, loss: 0.6177 2024-06-02 16:53:13,759 - mmdet - INFO - Epoch [10][6300/7330] lr: 1.000e-05, eta: 3:53:44, time: 0.865, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0343, loss_cls: 0.1428, acc: 94.5083, loss_bbox: 0.1956, loss_mask: 0.2068, loss: 0.5902 2024-06-02 16:54:00,066 - mmdet - INFO - Epoch [10][6350/7330] lr: 1.000e-05, eta: 3:52:59, time: 0.926, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0392, loss_cls: 0.1482, acc: 94.3376, loss_bbox: 0.2036, loss_mask: 0.2152, loss: 0.6183 2024-06-02 16:54:42,903 - mmdet - INFO - Epoch [10][6400/7330] lr: 1.000e-05, eta: 3:52:14, time: 0.857, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0352, loss_cls: 0.1371, acc: 94.7563, loss_bbox: 0.1944, loss_mask: 0.2149, loss: 0.5917 2024-06-02 16:55:25,257 - mmdet - INFO - Epoch [10][6450/7330] lr: 1.000e-05, eta: 3:51:29, time: 0.847, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0362, loss_cls: 0.1434, acc: 94.5466, loss_bbox: 0.1939, loss_mask: 0.2116, loss: 0.5967 2024-06-02 16:56:11,217 - mmdet - INFO - Epoch [10][6500/7330] lr: 1.000e-05, eta: 3:50:44, time: 0.919, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0371, loss_cls: 0.1447, acc: 94.3918, loss_bbox: 0.1973, loss_mask: 0.2084, loss: 0.5992 2024-06-02 16:56:54,988 - mmdet - INFO - Epoch [10][6550/7330] lr: 1.000e-05, eta: 3:50:00, time: 0.875, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0383, loss_cls: 0.1414, acc: 94.4993, loss_bbox: 0.1988, loss_mask: 0.2103, loss: 0.6007 2024-06-02 16:57:41,274 - mmdet - INFO - Epoch [10][6600/7330] lr: 1.000e-05, eta: 3:49:15, time: 0.926, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0403, loss_cls: 0.1524, acc: 94.1421, loss_bbox: 0.2103, loss_mask: 0.2177, loss: 0.6336 2024-06-02 16:58:24,670 - mmdet - INFO - Epoch [10][6650/7330] lr: 1.000e-05, eta: 3:48:30, time: 0.868, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0361, loss_cls: 0.1443, acc: 94.5774, loss_bbox: 0.1984, loss_mask: 0.2124, loss: 0.6024 2024-06-02 16:59:08,355 - mmdet - INFO - Epoch [10][6700/7330] lr: 1.000e-05, eta: 3:47:45, time: 0.874, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0375, loss_cls: 0.1443, acc: 94.4336, loss_bbox: 0.1988, loss_mask: 0.2101, loss: 0.6022 2024-06-02 16:59:53,881 - mmdet - INFO - Epoch [10][6750/7330] lr: 1.000e-05, eta: 3:47:01, time: 0.911, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0356, loss_cls: 0.1466, acc: 94.4275, loss_bbox: 0.1983, loss_mask: 0.2113, loss: 0.6033 2024-06-02 17:00:39,702 - mmdet - INFO - Epoch [10][6800/7330] lr: 1.000e-05, eta: 3:46:16, time: 0.916, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0372, loss_cls: 0.1501, acc: 94.2595, loss_bbox: 0.2054, loss_mask: 0.2113, loss: 0.6160 2024-06-02 17:01:25,201 - mmdet - INFO - Epoch [10][6850/7330] lr: 1.000e-05, eta: 3:45:32, time: 0.910, data_time: 0.064, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0388, loss_cls: 0.1518, acc: 94.1663, loss_bbox: 0.2037, loss_mask: 0.2126, loss: 0.6193 2024-06-02 17:02:07,916 - mmdet - INFO - Epoch [10][6900/7330] lr: 1.000e-05, eta: 3:44:47, time: 0.854, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0364, loss_cls: 0.1448, acc: 94.4507, loss_bbox: 0.1978, loss_mask: 0.2085, loss: 0.5984 2024-06-02 17:02:54,513 - mmdet - INFO - Epoch [10][6950/7330] lr: 1.000e-05, eta: 3:44:02, time: 0.932, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0388, loss_cls: 0.1534, acc: 94.1289, loss_bbox: 0.2108, loss_mask: 0.2151, loss: 0.6305 2024-06-02 17:03:37,257 - mmdet - INFO - Epoch [10][7000/7330] lr: 1.000e-05, eta: 3:43:17, time: 0.855, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0350, loss_cls: 0.1468, acc: 94.3394, loss_bbox: 0.1978, loss_mask: 0.2111, loss: 0.6022 2024-06-02 17:04:27,364 - mmdet - INFO - Epoch [10][7050/7330] lr: 1.000e-05, eta: 3:42:34, time: 1.002, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0391, loss_cls: 0.1493, acc: 94.3076, loss_bbox: 0.2000, loss_mask: 0.2122, loss: 0.6125 2024-06-02 17:05:12,529 - mmdet - INFO - Epoch [10][7100/7330] lr: 1.000e-05, eta: 3:41:49, time: 0.903, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0352, loss_cls: 0.1430, acc: 94.4827, loss_bbox: 0.1989, loss_mask: 0.2114, loss: 0.6005 2024-06-02 17:05:56,407 - mmdet - INFO - Epoch [10][7150/7330] lr: 1.000e-05, eta: 3:41:04, time: 0.878, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0358, loss_cls: 0.1430, acc: 94.5095, loss_bbox: 0.1968, loss_mask: 0.2111, loss: 0.5976 2024-06-02 17:06:42,095 - mmdet - INFO - Epoch [10][7200/7330] lr: 1.000e-05, eta: 3:40:20, time: 0.914, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0355, loss_cls: 0.1413, acc: 94.4817, loss_bbox: 0.1951, loss_mask: 0.2103, loss: 0.5931 2024-06-02 17:07:25,784 - mmdet - INFO - Epoch [10][7250/7330] lr: 1.000e-05, eta: 3:39:35, time: 0.874, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0390, loss_cls: 0.1523, acc: 94.0632, loss_bbox: 0.2127, loss_mask: 0.2189, loss: 0.6353 2024-06-02 17:08:09,357 - mmdet - INFO - Epoch [10][7300/7330] lr: 1.000e-05, eta: 3:38:50, time: 0.871, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0384, loss_cls: 0.1507, acc: 94.1538, loss_bbox: 0.2037, loss_mask: 0.2115, loss: 0.6167 2024-06-02 17:08:38,545 - mmdet - INFO - Saving checkpoint at 10 epochs 2024-06-02 17:10:38,647 - mmdet - INFO - Evaluating bbox... 2024-06-02 17:11:02,204 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.481 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.706 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.529 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.297 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.519 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.661 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 ] = 0.398 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.635 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.762 2024-06-02 17:11:02,205 - mmdet - INFO - Evaluating segm... 2024-06-02 17:11:24,341 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.428 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.671 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.461 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.214 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.461 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.645 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.327 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.575 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.721 2024-06-02 17:11:24,725 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 17:11:24,728 - mmdet - INFO - Epoch(val) [10][625] bbox_mAP: 0.4810, bbox_mAP_50: 0.7060, bbox_mAP_75: 0.5290, bbox_mAP_s: 0.2970, bbox_mAP_m: 0.5190, bbox_mAP_l: 0.6610, bbox_mAP_copypaste: 0.481 0.706 0.529 0.297 0.519 0.661, segm_mAP: 0.4280, segm_mAP_50: 0.6710, segm_mAP_75: 0.4610, segm_mAP_s: 0.2140, segm_mAP_m: 0.4610, segm_mAP_l: 0.6450, segm_mAP_copypaste: 0.428 0.671 0.461 0.214 0.461 0.645 2024-06-02 17:12:21,112 - mmdet - INFO - Epoch [11][50/7330] lr: 1.000e-05, eta: 3:37:36, time: 1.127, data_time: 0.121, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0359, loss_cls: 0.1415, acc: 94.5566, loss_bbox: 0.1967, loss_mask: 0.2112, loss: 0.5966 2024-06-02 17:13:09,587 - mmdet - INFO - Epoch [11][100/7330] lr: 1.000e-05, eta: 3:36:52, time: 0.970, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0385, loss_cls: 0.1496, acc: 94.2529, loss_bbox: 0.2040, loss_mask: 0.2118, loss: 0.6162 2024-06-02 17:13:52,570 - mmdet - INFO - Epoch [11][150/7330] lr: 1.000e-05, eta: 3:36:07, time: 0.860, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0353, loss_cls: 0.1326, acc: 94.8818, loss_bbox: 0.1803, loss_mask: 0.2028, loss: 0.5612 2024-06-02 17:14:35,848 - mmdet - INFO - Epoch [11][200/7330] lr: 1.000e-05, eta: 3:35:22, time: 0.866, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0380, loss_cls: 0.1517, acc: 94.1340, loss_bbox: 0.2106, loss_mask: 0.2168, loss: 0.6299 2024-06-02 17:15:22,173 - mmdet - INFO - Epoch [11][250/7330] lr: 1.000e-05, eta: 3:34:37, time: 0.926, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0358, loss_cls: 0.1386, acc: 94.6316, loss_bbox: 0.1935, loss_mask: 0.2100, loss: 0.5888 2024-06-02 17:16:05,773 - mmdet - INFO - Epoch [11][300/7330] lr: 1.000e-05, eta: 3:33:52, time: 0.872, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0369, loss_cls: 0.1448, acc: 94.4177, loss_bbox: 0.2006, loss_mask: 0.2116, loss: 0.6052 2024-06-02 17:16:49,878 - mmdet - INFO - Epoch [11][350/7330] lr: 1.000e-05, eta: 3:33:08, time: 0.882, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0370, loss_cls: 0.1422, acc: 94.5061, loss_bbox: 0.1962, loss_mask: 0.2129, loss: 0.5992 2024-06-02 17:17:33,899 - mmdet - INFO - Epoch [11][400/7330] lr: 1.000e-05, eta: 3:32:23, time: 0.880, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0367, loss_cls: 0.1442, acc: 94.4536, loss_bbox: 0.1976, loss_mask: 0.2123, loss: 0.6018 2024-06-02 17:18:16,807 - mmdet - INFO - Epoch [11][450/7330] lr: 1.000e-05, eta: 3:31:38, time: 0.858, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0351, loss_cls: 0.1363, acc: 94.8303, loss_bbox: 0.1864, loss_mask: 0.1981, loss: 0.5670 2024-06-02 17:19:00,424 - mmdet - INFO - Epoch [11][500/7330] lr: 1.000e-05, eta: 3:30:53, time: 0.872, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0364, loss_cls: 0.1424, acc: 94.5093, loss_bbox: 0.1969, loss_mask: 0.2104, loss: 0.5974 2024-06-02 17:19:47,931 - mmdet - INFO - Epoch [11][550/7330] lr: 1.000e-05, eta: 3:30:09, time: 0.950, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0400, loss_cls: 0.1453, acc: 94.3745, loss_bbox: 0.2046, loss_mask: 0.2138, loss: 0.6145 2024-06-02 17:20:31,070 - mmdet - INFO - Epoch [11][600/7330] lr: 1.000e-05, eta: 3:29:24, time: 0.862, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0361, loss_cls: 0.1357, acc: 94.8274, loss_bbox: 0.1891, loss_mask: 0.2101, loss: 0.5821 2024-06-02 17:21:22,202 - mmdet - INFO - Epoch [11][650/7330] lr: 1.000e-05, eta: 3:28:40, time: 1.023, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0367, loss_cls: 0.1417, acc: 94.5271, loss_bbox: 0.1953, loss_mask: 0.2110, loss: 0.5956 2024-06-02 17:22:08,022 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 17:22:08,023 - mmdet - INFO - Epoch [11][700/7330] lr: 1.000e-05, eta: 3:27:56, time: 0.916, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0378, loss_cls: 0.1479, acc: 94.3064, loss_bbox: 0.2014, loss_mask: 0.2104, loss: 0.6093 2024-06-02 17:22:54,202 - mmdet - INFO - Epoch [11][750/7330] lr: 1.000e-05, eta: 3:27:11, time: 0.924, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0426, loss_cls: 0.1597, acc: 93.8628, loss_bbox: 0.2202, loss_mask: 0.2240, loss: 0.6600 2024-06-02 17:23:37,245 - mmdet - INFO - Epoch [11][800/7330] lr: 1.000e-05, eta: 3:26:26, time: 0.861, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0381, loss_cls: 0.1407, acc: 94.6189, loss_bbox: 0.1962, loss_mask: 0.2108, loss: 0.5978 2024-06-02 17:24:21,379 - mmdet - INFO - Epoch [11][850/7330] lr: 1.000e-05, eta: 3:25:42, time: 0.883, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0388, loss_cls: 0.1513, acc: 94.2336, loss_bbox: 0.2090, loss_mask: 0.2175, loss: 0.6289 2024-06-02 17:25:04,175 - mmdet - INFO - Epoch [11][900/7330] lr: 1.000e-05, eta: 3:24:57, time: 0.856, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0349, loss_cls: 0.1355, acc: 94.8032, loss_bbox: 0.1850, loss_mask: 0.2023, loss: 0.5677 2024-06-02 17:25:47,521 - mmdet - INFO - Epoch [11][950/7330] lr: 1.000e-05, eta: 3:24:12, time: 0.867, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0365, loss_cls: 0.1401, acc: 94.6304, loss_bbox: 0.1925, loss_mask: 0.2106, loss: 0.5908 2024-06-02 17:26:31,125 - mmdet - INFO - Epoch [11][1000/7330] lr: 1.000e-05, eta: 3:23:27, time: 0.872, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0386, loss_cls: 0.1530, acc: 94.1121, loss_bbox: 0.2125, loss_mask: 0.2195, loss: 0.6349 2024-06-02 17:27:16,593 - mmdet - INFO - Epoch [11][1050/7330] lr: 1.000e-05, eta: 3:22:42, time: 0.909, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0365, loss_cls: 0.1411, acc: 94.5952, loss_bbox: 0.1925, loss_mask: 0.2050, loss: 0.5858 2024-06-02 17:28:00,196 - mmdet - INFO - Epoch [11][1100/7330] lr: 1.000e-05, eta: 3:21:57, time: 0.872, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0381, loss_cls: 0.1479, acc: 94.3816, loss_bbox: 0.2047, loss_mask: 0.2152, loss: 0.6179 2024-06-02 17:28:45,720 - mmdet - INFO - Epoch [11][1150/7330] lr: 1.000e-05, eta: 3:21:13, time: 0.910, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0403, loss_cls: 0.1503, acc: 94.1611, loss_bbox: 0.2076, loss_mask: 0.2143, loss: 0.6241 2024-06-02 17:29:29,173 - mmdet - INFO - Epoch [11][1200/7330] lr: 1.000e-05, eta: 3:20:28, time: 0.869, data_time: 0.067, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0361, loss_cls: 0.1455, acc: 94.3638, loss_bbox: 0.2035, loss_mask: 0.2089, loss: 0.6051 2024-06-02 17:30:18,889 - mmdet - INFO - Epoch [11][1250/7330] lr: 1.000e-05, eta: 3:19:44, time: 0.994, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0384, loss_cls: 0.1387, acc: 94.6970, loss_bbox: 0.1970, loss_mask: 0.2068, loss: 0.5918 2024-06-02 17:31:06,699 - mmdet - INFO - Epoch [11][1300/7330] lr: 1.000e-05, eta: 3:19:00, time: 0.956, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0374, loss_cls: 0.1480, acc: 94.2708, loss_bbox: 0.2053, loss_mask: 0.2140, loss: 0.6162 2024-06-02 17:31:50,315 - mmdet - INFO - Epoch [11][1350/7330] lr: 1.000e-05, eta: 3:18:15, time: 0.872, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0355, loss_cls: 0.1408, acc: 94.5847, loss_bbox: 0.1918, loss_mask: 0.2067, loss: 0.5855 2024-06-02 17:32:34,235 - mmdet - INFO - Epoch [11][1400/7330] lr: 1.000e-05, eta: 3:17:30, time: 0.878, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0356, loss_cls: 0.1342, acc: 94.8789, loss_bbox: 0.1869, loss_mask: 0.2051, loss: 0.5731 2024-06-02 17:33:17,615 - mmdet - INFO - Epoch [11][1450/7330] lr: 1.000e-05, eta: 3:16:45, time: 0.868, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0353, loss_cls: 0.1386, acc: 94.6252, loss_bbox: 0.1909, loss_mask: 0.2096, loss: 0.5855 2024-06-02 17:34:01,528 - mmdet - INFO - Epoch [11][1500/7330] lr: 1.000e-05, eta: 3:16:01, time: 0.878, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0367, loss_cls: 0.1443, acc: 94.3926, loss_bbox: 0.1982, loss_mask: 0.2121, loss: 0.6018 2024-06-02 17:34:44,829 - mmdet - INFO - Epoch [11][1550/7330] lr: 1.000e-05, eta: 3:15:16, time: 0.866, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0359, loss_cls: 0.1420, acc: 94.4548, loss_bbox: 0.2034, loss_mask: 0.2110, loss: 0.6034 2024-06-02 17:35:30,546 - mmdet - INFO - Epoch [11][1600/7330] lr: 1.000e-05, eta: 3:14:31, time: 0.914, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0376, loss_cls: 0.1417, acc: 94.5720, loss_bbox: 0.2008, loss_mask: 0.2160, loss: 0.6072 2024-06-02 17:36:13,743 - mmdet - INFO - Epoch [11][1650/7330] lr: 1.000e-05, eta: 3:13:46, time: 0.864, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0364, loss_cls: 0.1433, acc: 94.4590, loss_bbox: 0.1951, loss_mask: 0.2135, loss: 0.5997 2024-06-02 17:36:57,501 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 17:36:57,501 - mmdet - INFO - Epoch [11][1700/7330] lr: 1.000e-05, eta: 3:13:01, time: 0.875, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0368, loss_cls: 0.1440, acc: 94.3894, loss_bbox: 0.1996, loss_mask: 0.2129, loss: 0.6051 2024-06-02 17:37:42,330 - mmdet - INFO - Epoch [11][1750/7330] lr: 1.000e-05, eta: 3:12:17, time: 0.897, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0362, loss_cls: 0.1420, acc: 94.6064, loss_bbox: 0.1945, loss_mask: 0.2117, loss: 0.5953 2024-06-02 17:38:27,977 - mmdet - INFO - Epoch [11][1800/7330] lr: 1.000e-05, eta: 3:11:32, time: 0.913, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0366, loss_cls: 0.1418, acc: 94.4924, loss_bbox: 0.1964, loss_mask: 0.2098, loss: 0.5951 2024-06-02 17:39:16,209 - mmdet - INFO - Epoch [11][1850/7330] lr: 1.000e-05, eta: 3:10:48, time: 0.965, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0343, loss_cls: 0.1332, acc: 94.8311, loss_bbox: 0.1896, loss_mask: 0.2079, loss: 0.5747 2024-06-02 17:40:01,750 - mmdet - INFO - Epoch [11][1900/7330] lr: 1.000e-05, eta: 3:10:04, time: 0.911, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0362, loss_cls: 0.1431, acc: 94.5212, loss_bbox: 0.1964, loss_mask: 0.2100, loss: 0.5970 2024-06-02 17:40:45,027 - mmdet - INFO - Epoch [11][1950/7330] lr: 1.000e-05, eta: 3:09:19, time: 0.866, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0366, loss_cls: 0.1421, acc: 94.5027, loss_bbox: 0.1946, loss_mask: 0.2062, loss: 0.5899 2024-06-02 17:41:27,967 - mmdet - INFO - Epoch [11][2000/7330] lr: 1.000e-05, eta: 3:08:34, time: 0.859, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0377, loss_cls: 0.1434, acc: 94.4363, loss_bbox: 0.1977, loss_mask: 0.2125, loss: 0.6028 2024-06-02 17:42:11,989 - mmdet - INFO - Epoch [11][2050/7330] lr: 1.000e-05, eta: 3:07:49, time: 0.880, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0377, loss_cls: 0.1471, acc: 94.2930, loss_bbox: 0.2110, loss_mask: 0.2187, loss: 0.6259 2024-06-02 17:42:55,157 - mmdet - INFO - Epoch [11][2100/7330] lr: 1.000e-05, eta: 3:07:04, time: 0.863, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0370, loss_cls: 0.1411, acc: 94.5750, loss_bbox: 0.1954, loss_mask: 0.2095, loss: 0.5940 2024-06-02 17:43:37,863 - mmdet - INFO - Epoch [11][2150/7330] lr: 1.000e-05, eta: 3:06:19, time: 0.854, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0364, loss_cls: 0.1405, acc: 94.5334, loss_bbox: 0.1943, loss_mask: 0.2112, loss: 0.5931 2024-06-02 17:44:23,784 - mmdet - INFO - Epoch [11][2200/7330] lr: 1.000e-05, eta: 3:05:34, time: 0.918, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0386, loss_cls: 0.1466, acc: 94.3630, loss_bbox: 0.1988, loss_mask: 0.2114, loss: 0.6063 2024-06-02 17:45:07,742 - mmdet - INFO - Epoch [11][2250/7330] lr: 1.000e-05, eta: 3:04:50, time: 0.879, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0384, loss_cls: 0.1491, acc: 94.1973, loss_bbox: 0.2046, loss_mask: 0.2173, loss: 0.6219 2024-06-02 17:45:53,089 - mmdet - INFO - Epoch [11][2300/7330] lr: 1.000e-05, eta: 3:04:05, time: 0.907, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0355, loss_cls: 0.1354, acc: 94.8110, loss_bbox: 0.1928, loss_mask: 0.2095, loss: 0.5837 2024-06-02 17:46:38,295 - mmdet - INFO - Epoch [11][2350/7330] lr: 1.000e-05, eta: 3:03:20, time: 0.904, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0365, loss_cls: 0.1382, acc: 94.6978, loss_bbox: 0.1921, loss_mask: 0.2066, loss: 0.5846 2024-06-02 17:47:21,384 - mmdet - INFO - Epoch [11][2400/7330] lr: 1.000e-05, eta: 3:02:36, time: 0.862, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0368, loss_cls: 0.1454, acc: 94.4460, loss_bbox: 0.1980, loss_mask: 0.2111, loss: 0.6025 2024-06-02 17:48:09,728 - mmdet - INFO - Epoch [11][2450/7330] lr: 1.000e-05, eta: 3:01:51, time: 0.967, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0366, loss_cls: 0.1420, acc: 94.5786, loss_bbox: 0.1986, loss_mask: 0.2093, loss: 0.5976 2024-06-02 17:48:55,511 - mmdet - INFO - Epoch [11][2500/7330] lr: 1.000e-05, eta: 3:01:07, time: 0.916, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0359, loss_cls: 0.1460, acc: 94.3250, loss_bbox: 0.2028, loss_mask: 0.2160, loss: 0.6130 2024-06-02 17:49:39,512 - mmdet - INFO - Epoch [11][2550/7330] lr: 1.000e-05, eta: 3:00:22, time: 0.880, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0355, loss_cls: 0.1408, acc: 94.5898, loss_bbox: 0.1969, loss_mask: 0.2092, loss: 0.5926 2024-06-02 17:50:23,498 - mmdet - INFO - Epoch [11][2600/7330] lr: 1.000e-05, eta: 2:59:37, time: 0.880, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0389, loss_cls: 0.1461, acc: 94.3579, loss_bbox: 0.2043, loss_mask: 0.2113, loss: 0.6122 2024-06-02 17:51:07,684 - mmdet - INFO - Epoch [11][2650/7330] lr: 1.000e-05, eta: 2:58:53, time: 0.884, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0363, loss_cls: 0.1475, acc: 94.3293, loss_bbox: 0.2013, loss_mask: 0.2105, loss: 0.6068 2024-06-02 17:51:53,018 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 17:51:53,018 - mmdet - INFO - Epoch [11][2700/7330] lr: 1.000e-05, eta: 2:58:08, time: 0.907, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0364, loss_cls: 0.1409, acc: 94.6516, loss_bbox: 0.1899, loss_mask: 0.2080, loss: 0.5866 2024-06-02 17:52:37,099 - mmdet - INFO - Epoch [11][2750/7330] lr: 1.000e-05, eta: 2:57:23, time: 0.882, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0388, loss_cls: 0.1499, acc: 94.1260, loss_bbox: 0.2058, loss_mask: 0.2167, loss: 0.6237 2024-06-02 17:53:20,737 - mmdet - INFO - Epoch [11][2800/7330] lr: 1.000e-05, eta: 2:56:38, time: 0.873, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0344, loss_cls: 0.1397, acc: 94.5879, loss_bbox: 0.1924, loss_mask: 0.2050, loss: 0.5825 2024-06-02 17:54:06,773 - mmdet - INFO - Epoch [11][2850/7330] lr: 1.000e-05, eta: 2:55:54, time: 0.921, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0399, loss_cls: 0.1469, acc: 94.3477, loss_bbox: 0.2046, loss_mask: 0.2141, loss: 0.6177 2024-06-02 17:54:51,426 - mmdet - INFO - Epoch [11][2900/7330] lr: 1.000e-05, eta: 2:55:09, time: 0.893, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0360, loss_cls: 0.1424, acc: 94.5784, loss_bbox: 0.1976, loss_mask: 0.2140, loss: 0.6009 2024-06-02 17:55:34,769 - mmdet - INFO - Epoch [11][2950/7330] lr: 1.000e-05, eta: 2:54:24, time: 0.867, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0359, loss_cls: 0.1390, acc: 94.6428, loss_bbox: 0.1924, loss_mask: 0.2073, loss: 0.5852 2024-06-02 17:56:17,811 - mmdet - INFO - Epoch [11][3000/7330] lr: 1.000e-05, eta: 2:53:39, time: 0.861, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0353, loss_cls: 0.1373, acc: 94.7952, loss_bbox: 0.1915, loss_mask: 0.2110, loss: 0.5864 2024-06-02 17:57:09,316 - mmdet - INFO - Epoch [11][3050/7330] lr: 1.000e-05, eta: 2:52:56, time: 1.030, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0382, loss_cls: 0.1488, acc: 94.2664, loss_bbox: 0.2037, loss_mask: 0.2104, loss: 0.6134 2024-06-02 17:57:52,617 - mmdet - INFO - Epoch [11][3100/7330] lr: 1.000e-05, eta: 2:52:11, time: 0.866, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0387, loss_cls: 0.1448, acc: 94.3677, loss_bbox: 0.2016, loss_mask: 0.2138, loss: 0.6102 2024-06-02 17:58:35,346 - mmdet - INFO - Epoch [11][3150/7330] lr: 1.000e-05, eta: 2:51:26, time: 0.854, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0357, loss_cls: 0.1369, acc: 94.7671, loss_bbox: 0.1921, loss_mask: 0.2082, loss: 0.5830 2024-06-02 17:59:19,494 - mmdet - INFO - Epoch [11][3200/7330] lr: 1.000e-05, eta: 2:50:41, time: 0.883, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0396, loss_cls: 0.1510, acc: 94.1294, loss_bbox: 0.2041, loss_mask: 0.2142, loss: 0.6212 2024-06-02 18:00:02,510 - mmdet - INFO - Epoch [11][3250/7330] lr: 1.000e-05, eta: 2:49:56, time: 0.860, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0362, loss_cls: 0.1442, acc: 94.5168, loss_bbox: 0.1997, loss_mask: 0.2104, loss: 0.6020 2024-06-02 18:00:48,087 - mmdet - INFO - Epoch [11][3300/7330] lr: 1.000e-05, eta: 2:49:12, time: 0.911, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0363, loss_cls: 0.1396, acc: 94.6716, loss_bbox: 0.1929, loss_mask: 0.2070, loss: 0.5858 2024-06-02 18:01:31,505 - mmdet - INFO - Epoch [11][3350/7330] lr: 1.000e-05, eta: 2:48:27, time: 0.868, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0384, loss_cls: 0.1430, acc: 94.5579, loss_bbox: 0.1992, loss_mask: 0.2111, loss: 0.6038 2024-06-02 18:02:15,558 - mmdet - INFO - Epoch [11][3400/7330] lr: 1.000e-05, eta: 2:47:42, time: 0.881, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0375, loss_cls: 0.1446, acc: 94.3657, loss_bbox: 0.2004, loss_mask: 0.2079, loss: 0.6020 2024-06-02 18:03:01,084 - mmdet - INFO - Epoch [11][3450/7330] lr: 1.000e-05, eta: 2:46:57, time: 0.911, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0365, loss_cls: 0.1403, acc: 94.6653, loss_bbox: 0.1927, loss_mask: 0.2091, loss: 0.5890 2024-06-02 18:03:46,330 - mmdet - INFO - Epoch [11][3500/7330] lr: 1.000e-05, eta: 2:46:13, time: 0.905, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0349, loss_cls: 0.1423, acc: 94.4800, loss_bbox: 0.1945, loss_mask: 0.2093, loss: 0.5917 2024-06-02 18:04:29,845 - mmdet - INFO - Epoch [11][3550/7330] lr: 1.000e-05, eta: 2:45:28, time: 0.870, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0385, loss_cls: 0.1456, acc: 94.3645, loss_bbox: 0.2033, loss_mask: 0.2105, loss: 0.6092 2024-06-02 18:05:13,140 - mmdet - INFO - Epoch [11][3600/7330] lr: 1.000e-05, eta: 2:44:43, time: 0.866, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0389, loss_cls: 0.1449, acc: 94.4011, loss_bbox: 0.2026, loss_mask: 0.2124, loss: 0.6109 2024-06-02 18:06:04,475 - mmdet - INFO - Epoch [11][3650/7330] lr: 1.000e-05, eta: 2:43:59, time: 1.027, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0355, loss_cls: 0.1369, acc: 94.6926, loss_bbox: 0.1959, loss_mask: 0.2115, loss: 0.5897 2024-06-02 18:06:47,016 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 18:06:47,016 - mmdet - INFO - Epoch [11][3700/7330] lr: 1.000e-05, eta: 2:43:14, time: 0.851, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0348, loss_cls: 0.1420, acc: 94.4849, loss_bbox: 0.1986, loss_mask: 0.2091, loss: 0.5949 2024-06-02 18:07:29,842 - mmdet - INFO - Epoch [11][3750/7330] lr: 1.000e-05, eta: 2:42:29, time: 0.857, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0370, loss_cls: 0.1387, acc: 94.6943, loss_bbox: 0.1942, loss_mask: 0.2062, loss: 0.5868 2024-06-02 18:08:15,088 - mmdet - INFO - Epoch [11][3800/7330] lr: 1.000e-05, eta: 2:41:45, time: 0.905, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0347, loss_cls: 0.1369, acc: 94.6956, loss_bbox: 0.1915, loss_mask: 0.2045, loss: 0.5781 2024-06-02 18:08:58,488 - mmdet - INFO - Epoch [11][3850/7330] lr: 1.000e-05, eta: 2:41:00, time: 0.868, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0349, loss_cls: 0.1396, acc: 94.6597, loss_bbox: 0.1947, loss_mask: 0.2108, loss: 0.5900 2024-06-02 18:09:42,691 - mmdet - INFO - Epoch [11][3900/7330] lr: 1.000e-05, eta: 2:40:15, time: 0.884, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0388, loss_cls: 0.1547, acc: 94.0603, loss_bbox: 0.2079, loss_mask: 0.2176, loss: 0.6304 2024-06-02 18:10:26,741 - mmdet - INFO - Epoch [11][3950/7330] lr: 1.000e-05, eta: 2:39:30, time: 0.881, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0360, loss_cls: 0.1465, acc: 94.3210, loss_bbox: 0.2007, loss_mask: 0.2121, loss: 0.6059 2024-06-02 18:11:10,464 - mmdet - INFO - Epoch [11][4000/7330] lr: 1.000e-05, eta: 2:38:46, time: 0.874, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0376, loss_cls: 0.1418, acc: 94.5396, loss_bbox: 0.1966, loss_mask: 0.2120, loss: 0.5997 2024-06-02 18:11:55,691 - mmdet - INFO - Epoch [11][4050/7330] lr: 1.000e-05, eta: 2:38:01, time: 0.905, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0362, loss_cls: 0.1455, acc: 94.4236, loss_bbox: 0.1987, loss_mask: 0.2077, loss: 0.6003 2024-06-02 18:12:40,576 - mmdet - INFO - Epoch [11][4100/7330] lr: 1.000e-05, eta: 2:37:16, time: 0.898, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0357, loss_cls: 0.1418, acc: 94.6555, loss_bbox: 0.1920, loss_mask: 0.2088, loss: 0.5897 2024-06-02 18:13:27,000 - mmdet - INFO - Epoch [11][4150/7330] lr: 1.000e-05, eta: 2:36:32, time: 0.928, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0377, loss_cls: 0.1460, acc: 94.3967, loss_bbox: 0.2033, loss_mask: 0.2118, loss: 0.6095 2024-06-02 18:14:12,777 - mmdet - INFO - Epoch [11][4200/7330] lr: 1.000e-05, eta: 2:35:47, time: 0.916, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0369, loss_cls: 0.1453, acc: 94.4761, loss_bbox: 0.1978, loss_mask: 0.2117, loss: 0.6035 2024-06-02 18:15:00,969 - mmdet - INFO - Epoch [11][4250/7330] lr: 1.000e-05, eta: 2:35:03, time: 0.964, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0371, loss_cls: 0.1487, acc: 94.2783, loss_bbox: 0.2066, loss_mask: 0.2148, loss: 0.6185 2024-06-02 18:15:43,623 - mmdet - INFO - Epoch [11][4300/7330] lr: 1.000e-05, eta: 2:34:18, time: 0.853, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0352, loss_cls: 0.1415, acc: 94.5581, loss_bbox: 0.1978, loss_mask: 0.2085, loss: 0.5944 2024-06-02 18:16:29,148 - mmdet - INFO - Epoch [11][4350/7330] lr: 1.000e-05, eta: 2:33:34, time: 0.911, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0367, loss_cls: 0.1464, acc: 94.4160, loss_bbox: 0.1976, loss_mask: 0.2100, loss: 0.6031 2024-06-02 18:17:12,626 - mmdet - INFO - Epoch [11][4400/7330] lr: 1.000e-05, eta: 2:32:49, time: 0.869, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0361, loss_cls: 0.1444, acc: 94.3855, loss_bbox: 0.2013, loss_mask: 0.2102, loss: 0.6043 2024-06-02 18:17:56,349 - mmdet - INFO - Epoch [11][4450/7330] lr: 1.000e-05, eta: 2:32:04, time: 0.874, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0362, loss_cls: 0.1432, acc: 94.5447, loss_bbox: 0.1968, loss_mask: 0.2046, loss: 0.5919 2024-06-02 18:18:39,615 - mmdet - INFO - Epoch [11][4500/7330] lr: 1.000e-05, eta: 2:31:19, time: 0.865, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0387, loss_cls: 0.1510, acc: 94.1899, loss_bbox: 0.2080, loss_mask: 0.2193, loss: 0.6295 2024-06-02 18:19:22,879 - mmdet - INFO - Epoch [11][4550/7330] lr: 1.000e-05, eta: 2:30:34, time: 0.865, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0359, loss_cls: 0.1406, acc: 94.5601, loss_bbox: 0.1937, loss_mask: 0.2091, loss: 0.5898 2024-06-02 18:20:06,354 - mmdet - INFO - Epoch [11][4600/7330] lr: 1.000e-05, eta: 2:29:49, time: 0.870, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0359, loss_cls: 0.1408, acc: 94.5991, loss_bbox: 0.1958, loss_mask: 0.2122, loss: 0.5953 2024-06-02 18:20:51,978 - mmdet - INFO - Epoch [11][4650/7330] lr: 1.000e-05, eta: 2:29:05, time: 0.912, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0363, loss_cls: 0.1440, acc: 94.3879, loss_bbox: 0.2015, loss_mask: 0.2121, loss: 0.6047 2024-06-02 18:21:37,371 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 18:21:37,371 - mmdet - INFO - Epoch [11][4700/7330] lr: 1.000e-05, eta: 2:28:20, time: 0.908, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0363, loss_cls: 0.1413, acc: 94.4885, loss_bbox: 0.1948, loss_mask: 0.2087, loss: 0.5917 2024-06-02 18:22:22,617 - mmdet - INFO - Epoch [11][4750/7330] lr: 1.000e-05, eta: 2:27:36, time: 0.905, data_time: 0.061, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0365, loss_cls: 0.1399, acc: 94.5417, loss_bbox: 0.1966, loss_mask: 0.2090, loss: 0.5932 2024-06-02 18:23:08,234 - mmdet - INFO - Epoch [11][4800/7330] lr: 1.000e-05, eta: 2:26:51, time: 0.912, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0399, loss_cls: 0.1495, acc: 94.2710, loss_bbox: 0.2007, loss_mask: 0.2135, loss: 0.6159 2024-06-02 18:23:56,766 - mmdet - INFO - Epoch [11][4850/7330] lr: 1.000e-05, eta: 2:26:07, time: 0.971, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0355, loss_cls: 0.1410, acc: 94.4990, loss_bbox: 0.1976, loss_mask: 0.2068, loss: 0.5915 2024-06-02 18:24:39,386 - mmdet - INFO - Epoch [11][4900/7330] lr: 1.000e-05, eta: 2:25:22, time: 0.852, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0349, loss_cls: 0.1397, acc: 94.6553, loss_bbox: 0.1935, loss_mask: 0.2041, loss: 0.5829 2024-06-02 18:25:25,782 - mmdet - INFO - Epoch [11][4950/7330] lr: 1.000e-05, eta: 2:24:37, time: 0.928, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0394, loss_cls: 0.1487, acc: 94.2681, loss_bbox: 0.2041, loss_mask: 0.2148, loss: 0.6192 2024-06-02 18:26:09,874 - mmdet - INFO - Epoch [11][5000/7330] lr: 1.000e-05, eta: 2:23:53, time: 0.882, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0377, loss_cls: 0.1483, acc: 94.1733, loss_bbox: 0.2046, loss_mask: 0.2112, loss: 0.6122 2024-06-02 18:26:53,491 - mmdet - INFO - Epoch [11][5050/7330] lr: 1.000e-05, eta: 2:23:08, time: 0.872, data_time: 0.068, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0362, loss_cls: 0.1483, acc: 94.2715, loss_bbox: 0.2019, loss_mask: 0.2090, loss: 0.6066 2024-06-02 18:27:36,749 - mmdet - INFO - Epoch [11][5100/7330] lr: 1.000e-05, eta: 2:22:23, time: 0.865, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0370, loss_cls: 0.1467, acc: 94.3855, loss_bbox: 0.1959, loss_mask: 0.2156, loss: 0.6068 2024-06-02 18:28:19,767 - mmdet - INFO - Epoch [11][5150/7330] lr: 1.000e-05, eta: 2:21:38, time: 0.860, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0369, loss_cls: 0.1432, acc: 94.4912, loss_bbox: 0.1949, loss_mask: 0.2115, loss: 0.5986 2024-06-02 18:29:04,818 - mmdet - INFO - Epoch [11][5200/7330] lr: 1.000e-05, eta: 2:20:53, time: 0.901, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0355, loss_cls: 0.1390, acc: 94.7034, loss_bbox: 0.1923, loss_mask: 0.2081, loss: 0.5858 2024-06-02 18:29:52,805 - mmdet - INFO - Epoch [11][5250/7330] lr: 1.000e-05, eta: 2:20:09, time: 0.960, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0370, loss_cls: 0.1424, acc: 94.5149, loss_bbox: 0.2009, loss_mask: 0.2086, loss: 0.5994 2024-06-02 18:30:35,607 - mmdet - INFO - Epoch [11][5300/7330] lr: 1.000e-05, eta: 2:19:24, time: 0.856, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0355, loss_cls: 0.1382, acc: 94.7002, loss_bbox: 0.1876, loss_mask: 0.2064, loss: 0.5790 2024-06-02 18:31:19,047 - mmdet - INFO - Epoch [11][5350/7330] lr: 1.000e-05, eta: 2:18:39, time: 0.869, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0388, loss_cls: 0.1507, acc: 94.1929, loss_bbox: 0.2074, loss_mask: 0.2177, loss: 0.6263 2024-06-02 18:32:07,404 - mmdet - INFO - Epoch [11][5400/7330] lr: 1.000e-05, eta: 2:17:55, time: 0.967, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0372, loss_cls: 0.1433, acc: 94.5059, loss_bbox: 0.1988, loss_mask: 0.2070, loss: 0.5973 2024-06-02 18:32:53,144 - mmdet - INFO - Epoch [11][5450/7330] lr: 1.000e-05, eta: 2:17:11, time: 0.915, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0388, loss_cls: 0.1419, acc: 94.5132, loss_bbox: 0.1981, loss_mask: 0.2106, loss: 0.6008 2024-06-02 18:33:37,970 - mmdet - INFO - Epoch [11][5500/7330] lr: 1.000e-05, eta: 2:16:26, time: 0.897, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0366, loss_cls: 0.1435, acc: 94.4512, loss_bbox: 0.2022, loss_mask: 0.2112, loss: 0.6034 2024-06-02 18:34:21,162 - mmdet - INFO - Epoch [11][5550/7330] lr: 1.000e-05, eta: 2:15:41, time: 0.864, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0338, loss_cls: 0.1336, acc: 94.8984, loss_bbox: 0.1860, loss_mask: 0.2030, loss: 0.5663 2024-06-02 18:35:05,168 - mmdet - INFO - Epoch [11][5600/7330] lr: 1.000e-05, eta: 2:14:56, time: 0.880, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0380, loss_cls: 0.1469, acc: 94.3015, loss_bbox: 0.2041, loss_mask: 0.2113, loss: 0.6118 2024-06-02 18:35:49,017 - mmdet - INFO - Epoch [11][5650/7330] lr: 1.000e-05, eta: 2:14:12, time: 0.877, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0375, loss_cls: 0.1387, acc: 94.6726, loss_bbox: 0.1949, loss_mask: 0.2075, loss: 0.5896 2024-06-02 18:36:32,201 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 18:36:32,201 - mmdet - INFO - Epoch [11][5700/7330] lr: 1.000e-05, eta: 2:13:27, time: 0.864, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0375, loss_cls: 0.1431, acc: 94.4346, loss_bbox: 0.2000, loss_mask: 0.2133, loss: 0.6043 2024-06-02 18:37:15,596 - mmdet - INFO - Epoch [11][5750/7330] lr: 1.000e-05, eta: 2:12:42, time: 0.868, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0352, loss_cls: 0.1393, acc: 94.6401, loss_bbox: 0.1935, loss_mask: 0.2069, loss: 0.5850 2024-06-02 18:38:03,922 - mmdet - INFO - Epoch [11][5800/7330] lr: 1.000e-05, eta: 2:11:58, time: 0.967, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0367, loss_cls: 0.1449, acc: 94.4226, loss_bbox: 0.2016, loss_mask: 0.2117, loss: 0.6065 2024-06-02 18:38:49,103 - mmdet - INFO - Epoch [11][5850/7330] lr: 1.000e-05, eta: 2:11:13, time: 0.904, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0341, loss_cls: 0.1414, acc: 94.6182, loss_bbox: 0.1962, loss_mask: 0.2118, loss: 0.5940 2024-06-02 18:39:32,293 - mmdet - INFO - Epoch [11][5900/7330] lr: 1.000e-05, eta: 2:10:28, time: 0.864, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0370, loss_cls: 0.1404, acc: 94.5376, loss_bbox: 0.1929, loss_mask: 0.2085, loss: 0.5908 2024-06-02 18:40:15,509 - mmdet - INFO - Epoch [11][5950/7330] lr: 1.000e-05, eta: 2:09:43, time: 0.864, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0384, loss_cls: 0.1448, acc: 94.3469, loss_bbox: 0.2004, loss_mask: 0.2084, loss: 0.6034 2024-06-02 18:41:03,023 - mmdet - INFO - Epoch [11][6000/7330] lr: 1.000e-05, eta: 2:08:59, time: 0.950, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0340, loss_cls: 0.1388, acc: 94.7266, loss_bbox: 0.1950, loss_mask: 0.2084, loss: 0.5872 2024-06-02 18:41:48,300 - mmdet - INFO - Epoch [11][6050/7330] lr: 1.000e-05, eta: 2:08:14, time: 0.906, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0346, loss_cls: 0.1364, acc: 94.8052, loss_bbox: 0.1899, loss_mask: 0.2083, loss: 0.5803 2024-06-02 18:42:33,722 - mmdet - INFO - Epoch [11][6100/7330] lr: 1.000e-05, eta: 2:07:30, time: 0.908, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0372, loss_cls: 0.1428, acc: 94.5779, loss_bbox: 0.1958, loss_mask: 0.2080, loss: 0.5945 2024-06-02 18:43:16,712 - mmdet - INFO - Epoch [11][6150/7330] lr: 1.000e-05, eta: 2:06:45, time: 0.860, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0361, loss_cls: 0.1401, acc: 94.6133, loss_bbox: 0.1925, loss_mask: 0.2092, loss: 0.5883 2024-06-02 18:44:00,091 - mmdet - INFO - Epoch [11][6200/7330] lr: 1.000e-05, eta: 2:06:00, time: 0.868, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0369, loss_cls: 0.1422, acc: 94.6528, loss_bbox: 0.1918, loss_mask: 0.2099, loss: 0.5919 2024-06-02 18:44:43,057 - mmdet - INFO - Epoch [11][6250/7330] lr: 1.000e-05, eta: 2:05:15, time: 0.859, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0358, loss_cls: 0.1449, acc: 94.3870, loss_bbox: 0.2010, loss_mask: 0.2120, loss: 0.6058 2024-06-02 18:45:28,331 - mmdet - INFO - Epoch [11][6300/7330] lr: 1.000e-05, eta: 2:04:31, time: 0.905, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0357, loss_cls: 0.1375, acc: 94.6748, loss_bbox: 0.1910, loss_mask: 0.2109, loss: 0.5860 2024-06-02 18:46:11,611 - mmdet - INFO - Epoch [11][6350/7330] lr: 1.000e-05, eta: 2:03:46, time: 0.865, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0360, loss_cls: 0.1374, acc: 94.7085, loss_bbox: 0.1921, loss_mask: 0.2070, loss: 0.5825 2024-06-02 18:46:54,679 - mmdet - INFO - Epoch [11][6400/7330] lr: 1.000e-05, eta: 2:03:01, time: 0.861, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0357, loss_cls: 0.1406, acc: 94.6194, loss_bbox: 0.1946, loss_mask: 0.2079, loss: 0.5904 2024-06-02 18:47:42,182 - mmdet - INFO - Epoch [11][6450/7330] lr: 1.000e-05, eta: 2:02:16, time: 0.950, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0359, loss_cls: 0.1403, acc: 94.6726, loss_bbox: 0.1880, loss_mask: 0.2091, loss: 0.5834 2024-06-02 18:48:25,790 - mmdet - INFO - Epoch [11][6500/7330] lr: 1.000e-05, eta: 2:01:32, time: 0.872, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0375, loss_cls: 0.1516, acc: 94.1895, loss_bbox: 0.2039, loss_mask: 0.2104, loss: 0.6149 2024-06-02 18:49:08,888 - mmdet - INFO - Epoch [11][6550/7330] lr: 1.000e-05, eta: 2:00:47, time: 0.862, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0375, loss_cls: 0.1449, acc: 94.4802, loss_bbox: 0.1969, loss_mask: 0.2053, loss: 0.5962 2024-06-02 18:49:58,024 - mmdet - INFO - Epoch [11][6600/7330] lr: 1.000e-05, eta: 2:00:03, time: 0.983, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0386, loss_cls: 0.1460, acc: 94.3777, loss_bbox: 0.2063, loss_mask: 0.2141, loss: 0.6173 2024-06-02 18:50:43,840 - mmdet - INFO - Epoch [11][6650/7330] lr: 1.000e-05, eta: 1:59:18, time: 0.916, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0357, loss_cls: 0.1433, acc: 94.5178, loss_bbox: 0.1905, loss_mask: 0.2059, loss: 0.5860 2024-06-02 18:51:30,438 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 18:51:30,439 - mmdet - INFO - Epoch [11][6700/7330] lr: 1.000e-05, eta: 1:58:34, time: 0.932, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0368, loss_cls: 0.1395, acc: 94.5833, loss_bbox: 0.1968, loss_mask: 0.2109, loss: 0.5964 2024-06-02 18:52:14,239 - mmdet - INFO - Epoch [11][6750/7330] lr: 1.000e-05, eta: 1:57:49, time: 0.876, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0370, loss_cls: 0.1469, acc: 94.3176, loss_bbox: 0.1992, loss_mask: 0.2089, loss: 0.6035 2024-06-02 18:52:57,558 - mmdet - INFO - Epoch [11][6800/7330] lr: 1.000e-05, eta: 1:57:04, time: 0.866, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0352, loss_cls: 0.1402, acc: 94.6018, loss_bbox: 0.1924, loss_mask: 0.2087, loss: 0.5881 2024-06-02 18:53:41,515 - mmdet - INFO - Epoch [11][6850/7330] lr: 1.000e-05, eta: 1:56:19, time: 0.879, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0349, loss_cls: 0.1436, acc: 94.4387, loss_bbox: 0.1979, loss_mask: 0.2084, loss: 0.5960 2024-06-02 18:54:28,836 - mmdet - INFO - Epoch [11][6900/7330] lr: 1.000e-05, eta: 1:55:35, time: 0.946, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0350, loss_cls: 0.1371, acc: 94.6716, loss_bbox: 0.1884, loss_mask: 0.2049, loss: 0.5757 2024-06-02 18:55:12,860 - mmdet - INFO - Epoch [11][6950/7330] lr: 1.000e-05, eta: 1:54:50, time: 0.880, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0370, loss_cls: 0.1381, acc: 94.6995, loss_bbox: 0.1961, loss_mask: 0.2093, loss: 0.5915 2024-06-02 18:55:58,266 - mmdet - INFO - Epoch [11][7000/7330] lr: 1.000e-05, eta: 1:54:05, time: 0.908, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0374, loss_cls: 0.1475, acc: 94.3406, loss_bbox: 0.2010, loss_mask: 0.2132, loss: 0.6108 2024-06-02 18:56:43,675 - mmdet - INFO - Epoch [11][7050/7330] lr: 1.000e-05, eta: 1:53:21, time: 0.908, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0357, loss_cls: 0.1371, acc: 94.7585, loss_bbox: 0.1910, loss_mask: 0.2063, loss: 0.5809 2024-06-02 18:57:27,020 - mmdet - INFO - Epoch [11][7100/7330] lr: 1.000e-05, eta: 1:52:36, time: 0.867, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0388, loss_cls: 0.1421, acc: 94.5261, loss_bbox: 0.1955, loss_mask: 0.2097, loss: 0.5979 2024-06-02 18:58:10,564 - mmdet - INFO - Epoch [11][7150/7330] lr: 1.000e-05, eta: 1:51:51, time: 0.871, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0351, loss_cls: 0.1388, acc: 94.6157, loss_bbox: 0.1950, loss_mask: 0.2116, loss: 0.5914 2024-06-02 18:58:59,377 - mmdet - INFO - Epoch [11][7200/7330] lr: 1.000e-05, eta: 1:51:07, time: 0.976, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0377, loss_cls: 0.1406, acc: 94.5869, loss_bbox: 0.2001, loss_mask: 0.2093, loss: 0.5996 2024-06-02 18:59:45,079 - mmdet - INFO - Epoch [11][7250/7330] lr: 1.000e-05, eta: 1:50:22, time: 0.914, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0376, loss_cls: 0.1475, acc: 94.2898, loss_bbox: 0.1990, loss_mask: 0.2082, loss: 0.6033 2024-06-02 19:00:31,686 - mmdet - INFO - Epoch [11][7300/7330] lr: 1.000e-05, eta: 1:49:38, time: 0.932, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0382, loss_cls: 0.1499, acc: 94.1404, loss_bbox: 0.2064, loss_mask: 0.2159, loss: 0.6226 2024-06-02 19:00:58,683 - mmdet - INFO - Saving checkpoint at 11 epochs 2024-06-02 19:03:02,397 - mmdet - INFO - Evaluating bbox... 2024-06-02 19:03:23,873 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.480 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.706 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.528 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.298 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.518 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.656 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.399 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.760 2024-06-02 19:03:23,873 - mmdet - INFO - Evaluating segm... 2024-06-02 19:03:50,868 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.428 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.672 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.458 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.214 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.459 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.644 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.330 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.578 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.721 2024-06-02 19:03:51,284 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 19:03:51,287 - mmdet - INFO - Epoch(val) [11][625] bbox_mAP: 0.4800, bbox_mAP_50: 0.7060, bbox_mAP_75: 0.5280, bbox_mAP_s: 0.2980, bbox_mAP_m: 0.5180, bbox_mAP_l: 0.6560, bbox_mAP_copypaste: 0.480 0.706 0.528 0.298 0.518 0.656, segm_mAP: 0.4280, segm_mAP_50: 0.6720, segm_mAP_75: 0.4580, segm_mAP_s: 0.2140, segm_mAP_m: 0.4590, segm_mAP_l: 0.6440, segm_mAP_copypaste: 0.428 0.672 0.458 0.214 0.459 0.644 2024-06-02 19:04:41,495 - mmdet - INFO - Epoch [12][50/7330] lr: 1.000e-06, eta: 1:48:24, time: 1.004, data_time: 0.134, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0362, loss_cls: 0.1430, acc: 94.4788, loss_bbox: 0.1932, loss_mask: 0.2104, loss: 0.5940 2024-06-02 19:05:26,952 - mmdet - INFO - Epoch [12][100/7330] lr: 1.000e-06, eta: 1:47:40, time: 0.909, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0359, loss_cls: 0.1458, acc: 94.4045, loss_bbox: 0.2008, loss_mask: 0.2084, loss: 0.6025 2024-06-02 19:06:10,010 - mmdet - INFO - Epoch [12][150/7330] lr: 1.000e-06, eta: 1:46:55, time: 0.861, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0362, loss_cls: 0.1405, acc: 94.5999, loss_bbox: 0.1929, loss_mask: 0.2101, loss: 0.5898 2024-06-02 19:06:53,135 - mmdet - INFO - Epoch [12][200/7330] lr: 1.000e-06, eta: 1:46:10, time: 0.863, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0364, loss_cls: 0.1380, acc: 94.6174, loss_bbox: 0.1958, loss_mask: 0.2155, loss: 0.5963 2024-06-02 19:07:36,737 - mmdet - INFO - Epoch [12][250/7330] lr: 1.000e-06, eta: 1:45:25, time: 0.872, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0371, loss_cls: 0.1435, acc: 94.4819, loss_bbox: 0.1985, loss_mask: 0.2095, loss: 0.6002 2024-06-02 19:08:20,695 - mmdet - INFO - Epoch [12][300/7330] lr: 1.000e-06, eta: 1:44:41, time: 0.879, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0393, loss_cls: 0.1476, acc: 94.3242, loss_bbox: 0.2007, loss_mask: 0.2162, loss: 0.6160 2024-06-02 19:09:04,025 - mmdet - INFO - Epoch [12][350/7330] lr: 1.000e-06, eta: 1:43:56, time: 0.867, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0369, loss_cls: 0.1407, acc: 94.5481, loss_bbox: 0.1963, loss_mask: 0.2110, loss: 0.5955 2024-06-02 19:09:47,527 - mmdet - INFO - Epoch [12][400/7330] lr: 1.000e-06, eta: 1:43:11, time: 0.870, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0375, loss_cls: 0.1486, acc: 94.2588, loss_bbox: 0.2077, loss_mask: 0.2151, loss: 0.6202 2024-06-02 19:10:34,920 - mmdet - INFO - Epoch [12][450/7330] lr: 1.000e-06, eta: 1:42:27, time: 0.948, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0357, loss_cls: 0.1312, acc: 94.9709, loss_bbox: 0.1832, loss_mask: 0.1990, loss: 0.5597 2024-06-02 19:11:18,239 - mmdet - INFO - Epoch [12][500/7330] lr: 1.000e-06, eta: 1:41:42, time: 0.866, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0341, loss_cls: 0.1324, acc: 94.8550, loss_bbox: 0.1857, loss_mask: 0.2019, loss: 0.5637 2024-06-02 19:12:03,767 - mmdet - INFO - Epoch [12][550/7330] lr: 1.000e-06, eta: 1:40:57, time: 0.910, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0341, loss_cls: 0.1351, acc: 94.7954, loss_bbox: 0.1914, loss_mask: 0.2080, loss: 0.5794 2024-06-02 19:12:47,591 - mmdet - INFO - Epoch [12][600/7330] lr: 1.000e-06, eta: 1:40:12, time: 0.876, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0362, loss_cls: 0.1431, acc: 94.4109, loss_bbox: 0.1979, loss_mask: 0.2111, loss: 0.5997 2024-06-02 19:13:43,087 - mmdet - INFO - Epoch [12][650/7330] lr: 1.000e-06, eta: 1:39:29, time: 1.110, data_time: 0.078, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0352, loss_cls: 0.1409, acc: 94.5220, loss_bbox: 0.1943, loss_mask: 0.2069, loss: 0.5878 2024-06-02 19:14:28,461 - mmdet - INFO - Epoch [12][700/7330] lr: 1.000e-06, eta: 1:38:44, time: 0.908, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0358, loss_cls: 0.1369, acc: 94.7515, loss_bbox: 0.1915, loss_mask: 0.2082, loss: 0.5833 2024-06-02 19:15:11,535 - mmdet - INFO - Epoch [12][750/7330] lr: 1.000e-06, eta: 1:37:59, time: 0.861, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0343, loss_cls: 0.1384, acc: 94.7256, loss_bbox: 0.1885, loss_mask: 0.2012, loss: 0.5725 2024-06-02 19:15:54,371 - mmdet - INFO - Epoch [12][800/7330] lr: 1.000e-06, eta: 1:37:14, time: 0.857, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0366, loss_cls: 0.1463, acc: 94.3479, loss_bbox: 0.2013, loss_mask: 0.2127, loss: 0.6092 2024-06-02 19:16:36,791 - mmdet - INFO - Epoch [12][850/7330] lr: 1.000e-06, eta: 1:36:30, time: 0.848, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0362, loss_cls: 0.1390, acc: 94.6238, loss_bbox: 0.1938, loss_mask: 0.2065, loss: 0.5854 2024-06-02 19:17:19,779 - mmdet - INFO - Epoch [12][900/7330] lr: 1.000e-06, eta: 1:35:45, time: 0.860, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0376, loss_cls: 0.1413, acc: 94.5225, loss_bbox: 0.1991, loss_mask: 0.2119, loss: 0.6020 2024-06-02 19:18:02,362 - mmdet - INFO - Epoch [12][950/7330] lr: 1.000e-06, eta: 1:35:00, time: 0.852, data_time: 0.042, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0366, loss_cls: 0.1331, acc: 94.7944, loss_bbox: 0.1902, loss_mask: 0.2081, loss: 0.5781 2024-06-02 19:18:45,294 - mmdet - INFO - Epoch [12][1000/7330] lr: 1.000e-06, eta: 1:34:15, time: 0.859, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0089, loss_rpn_bbox: 0.0346, loss_cls: 0.1395, acc: 94.5591, loss_bbox: 0.1969, loss_mask: 0.2046, loss: 0.5845 2024-06-02 19:19:32,135 - mmdet - INFO - Epoch [12][1050/7330] lr: 1.000e-06, eta: 1:33:31, time: 0.937, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0334, loss_cls: 0.1316, acc: 94.9038, loss_bbox: 0.1841, loss_mask: 0.2056, loss: 0.5651 2024-06-02 19:20:14,784 - mmdet - INFO - Epoch [12][1100/7330] lr: 1.000e-06, eta: 1:32:46, time: 0.853, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0361, loss_cls: 0.1347, acc: 94.7656, loss_bbox: 0.1903, loss_mask: 0.2092, loss: 0.5807 2024-06-02 19:21:04,740 - mmdet - INFO - Epoch [12][1150/7330] lr: 1.000e-06, eta: 1:32:01, time: 0.999, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0347, loss_cls: 0.1350, acc: 94.7639, loss_bbox: 0.1937, loss_mask: 0.2077, loss: 0.5815 2024-06-02 19:21:49,829 - mmdet - INFO - Epoch [12][1200/7330] lr: 1.000e-06, eta: 1:31:17, time: 0.902, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0383, loss_cls: 0.1397, acc: 94.5684, loss_bbox: 0.1958, loss_mask: 0.2053, loss: 0.5914 2024-06-02 19:22:36,524 - mmdet - INFO - Epoch [12][1250/7330] lr: 1.000e-06, eta: 1:30:32, time: 0.934, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0356, loss_cls: 0.1365, acc: 94.7385, loss_bbox: 0.1875, loss_mask: 0.2053, loss: 0.5761 2024-06-02 19:23:21,473 - mmdet - INFO - Epoch [12][1300/7330] lr: 1.000e-06, eta: 1:29:48, time: 0.899, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0350, loss_cls: 0.1355, acc: 94.8140, loss_bbox: 0.1878, loss_mask: 0.2088, loss: 0.5777 2024-06-02 19:24:04,820 - mmdet - INFO - Epoch [12][1350/7330] lr: 1.000e-06, eta: 1:29:03, time: 0.867, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0372, loss_cls: 0.1471, acc: 94.4075, loss_bbox: 0.2013, loss_mask: 0.2109, loss: 0.6087 2024-06-02 19:24:48,140 - mmdet - INFO - Epoch [12][1400/7330] lr: 1.000e-06, eta: 1:28:18, time: 0.866, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0363, loss_cls: 0.1420, acc: 94.5657, loss_bbox: 0.1934, loss_mask: 0.2052, loss: 0.5889 2024-06-02 19:25:31,543 - mmdet - INFO - Epoch [12][1450/7330] lr: 1.000e-06, eta: 1:27:33, time: 0.868, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0401, loss_cls: 0.1446, acc: 94.3735, loss_bbox: 0.2009, loss_mask: 0.2122, loss: 0.6086 2024-06-02 19:26:13,980 - mmdet - INFO - Epoch [12][1500/7330] lr: 1.000e-06, eta: 1:26:48, time: 0.849, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0356, loss_cls: 0.1428, acc: 94.5073, loss_bbox: 0.1964, loss_mask: 0.2096, loss: 0.5950 2024-06-02 19:26:57,958 - mmdet - INFO - Epoch [12][1550/7330] lr: 1.000e-06, eta: 1:26:04, time: 0.880, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0403, loss_cls: 0.1429, acc: 94.4834, loss_bbox: 0.2010, loss_mask: 0.2134, loss: 0.6093 2024-06-02 19:27:40,852 - mmdet - INFO - Epoch [12][1600/7330] lr: 1.000e-06, eta: 1:25:19, time: 0.858, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0359, loss_cls: 0.1423, acc: 94.4734, loss_bbox: 0.1965, loss_mask: 0.2086, loss: 0.5943 2024-06-02 19:28:31,053 - mmdet - INFO - Epoch [12][1650/7330] lr: 1.000e-06, eta: 1:24:35, time: 1.004, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0374, loss_cls: 0.1426, acc: 94.6377, loss_bbox: 0.1959, loss_mask: 0.2058, loss: 0.5933 2024-06-02 19:29:16,065 - mmdet - INFO - Epoch [12][1700/7330] lr: 1.000e-06, eta: 1:23:50, time: 0.900, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0369, loss_cls: 0.1408, acc: 94.5081, loss_bbox: 0.2003, loss_mask: 0.2081, loss: 0.5970 2024-06-02 19:29:58,691 - mmdet - INFO - Epoch [12][1750/7330] lr: 1.000e-06, eta: 1:23:05, time: 0.852, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0356, loss_cls: 0.1357, acc: 94.7275, loss_bbox: 0.1901, loss_mask: 0.2043, loss: 0.5770 2024-06-02 19:30:46,809 - mmdet - INFO - Epoch [12][1800/7330] lr: 1.000e-06, eta: 1:22:21, time: 0.962, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0369, loss_cls: 0.1423, acc: 94.5068, loss_bbox: 0.1964, loss_mask: 0.2063, loss: 0.5940 2024-06-02 19:31:32,460 - mmdet - INFO - Epoch [12][1850/7330] lr: 1.000e-06, eta: 1:21:36, time: 0.913, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0346, loss_cls: 0.1336, acc: 94.8162, loss_bbox: 0.1879, loss_mask: 0.2034, loss: 0.5695 2024-06-02 19:32:17,801 - mmdet - INFO - Epoch [12][1900/7330] lr: 1.000e-06, eta: 1:20:52, time: 0.907, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0356, loss_cls: 0.1359, acc: 94.7795, loss_bbox: 0.1867, loss_mask: 0.2022, loss: 0.5707 2024-06-02 19:33:00,526 - mmdet - INFO - Epoch [12][1950/7330] lr: 1.000e-06, eta: 1:20:07, time: 0.855, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0364, loss_cls: 0.1403, acc: 94.5461, loss_bbox: 0.1961, loss_mask: 0.2105, loss: 0.5941 2024-06-02 19:33:43,625 - mmdet - INFO - Epoch [12][2000/7330] lr: 1.000e-06, eta: 1:19:22, time: 0.862, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0375, loss_cls: 0.1449, acc: 94.3665, loss_bbox: 0.1992, loss_mask: 0.2137, loss: 0.6067 2024-06-02 19:34:26,791 - mmdet - INFO - Epoch [12][2050/7330] lr: 1.000e-06, eta: 1:18:37, time: 0.863, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0370, loss_cls: 0.1441, acc: 94.4590, loss_bbox: 0.1981, loss_mask: 0.2105, loss: 0.6012 2024-06-02 19:35:09,464 - mmdet - INFO - Epoch [12][2100/7330] lr: 1.000e-06, eta: 1:17:52, time: 0.854, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0358, loss_cls: 0.1406, acc: 94.6133, loss_bbox: 0.1923, loss_mask: 0.2088, loss: 0.5880 2024-06-02 19:35:52,341 - mmdet - INFO - Epoch [12][2150/7330] lr: 1.000e-06, eta: 1:17:08, time: 0.858, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0352, loss_cls: 0.1394, acc: 94.5869, loss_bbox: 0.1932, loss_mask: 0.2081, loss: 0.5862 2024-06-02 19:36:39,375 - mmdet - INFO - Epoch [12][2200/7330] lr: 1.000e-06, eta: 1:16:23, time: 0.941, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0355, loss_cls: 0.1439, acc: 94.3926, loss_bbox: 0.1981, loss_mask: 0.2135, loss: 0.6012 2024-06-02 19:37:26,749 - mmdet - INFO - Epoch [12][2250/7330] lr: 1.000e-06, eta: 1:15:39, time: 0.947, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0375, loss_cls: 0.1413, acc: 94.5500, loss_bbox: 0.1984, loss_mask: 0.2164, loss: 0.6050 2024-06-02 19:38:11,755 - mmdet - INFO - Epoch [12][2300/7330] lr: 1.000e-06, eta: 1:14:54, time: 0.900, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0360, loss_cls: 0.1399, acc: 94.5488, loss_bbox: 0.1973, loss_mask: 0.2060, loss: 0.5885 2024-06-02 19:38:54,862 - mmdet - INFO - Epoch [12][2350/7330] lr: 1.000e-06, eta: 1:14:09, time: 0.862, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0379, loss_cls: 0.1438, acc: 94.5410, loss_bbox: 0.1974, loss_mask: 0.2118, loss: 0.6027 2024-06-02 19:39:40,712 - mmdet - INFO - Epoch [12][2400/7330] lr: 1.000e-06, eta: 1:13:25, time: 0.917, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0369, loss_cls: 0.1418, acc: 94.5696, loss_bbox: 0.1925, loss_mask: 0.2102, loss: 0.5927 2024-06-02 19:40:26,105 - mmdet - INFO - Epoch [12][2450/7330] lr: 1.000e-06, eta: 1:12:40, time: 0.908, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0376, loss_cls: 0.1456, acc: 94.4058, loss_bbox: 0.1999, loss_mask: 0.2139, loss: 0.6081 2024-06-02 19:41:11,979 - mmdet - INFO - Epoch [12][2500/7330] lr: 1.000e-06, eta: 1:11:55, time: 0.918, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0363, loss_cls: 0.1436, acc: 94.4783, loss_bbox: 0.1983, loss_mask: 0.2104, loss: 0.6003 2024-06-02 19:41:55,234 - mmdet - INFO - Epoch [12][2550/7330] lr: 1.000e-06, eta: 1:11:11, time: 0.865, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0360, loss_cls: 0.1406, acc: 94.6458, loss_bbox: 0.1946, loss_mask: 0.2097, loss: 0.5925 2024-06-02 19:42:38,241 - mmdet - INFO - Epoch [12][2600/7330] lr: 1.000e-06, eta: 1:10:26, time: 0.860, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0354, loss_cls: 0.1361, acc: 94.8291, loss_bbox: 0.1877, loss_mask: 0.2064, loss: 0.5771 2024-06-02 19:43:21,375 - mmdet - INFO - Epoch [12][2650/7330] lr: 1.000e-06, eta: 1:09:41, time: 0.863, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0362, loss_cls: 0.1375, acc: 94.7454, loss_bbox: 0.1925, loss_mask: 0.2061, loss: 0.5830 2024-06-02 19:44:06,216 - mmdet - INFO - Epoch [12][2700/7330] lr: 1.000e-06, eta: 1:08:56, time: 0.897, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0355, loss_cls: 0.1366, acc: 94.7134, loss_bbox: 0.1898, loss_mask: 0.2100, loss: 0.5829 2024-06-02 19:44:49,348 - mmdet - INFO - Epoch [12][2750/7330] lr: 1.000e-06, eta: 1:08:12, time: 0.863, data_time: 0.039, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0379, loss_cls: 0.1411, acc: 94.5669, loss_bbox: 0.1951, loss_mask: 0.2075, loss: 0.5924 2024-06-02 19:45:36,519 - mmdet - INFO - Epoch [12][2800/7330] lr: 1.000e-06, eta: 1:07:27, time: 0.943, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0336, loss_cls: 0.1320, acc: 94.9021, loss_bbox: 0.1868, loss_mask: 0.2031, loss: 0.5648 2024-06-02 19:46:21,134 - mmdet - INFO - Epoch [12][2850/7330] lr: 1.000e-06, eta: 1:06:42, time: 0.892, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0338, loss_cls: 0.1355, acc: 94.8657, loss_bbox: 0.1861, loss_mask: 0.2015, loss: 0.5668 2024-06-02 19:47:05,911 - mmdet - INFO - Epoch [12][2900/7330] lr: 1.000e-06, eta: 1:05:58, time: 0.895, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0346, loss_cls: 0.1336, acc: 94.9094, loss_bbox: 0.1855, loss_mask: 0.2094, loss: 0.5735 2024-06-02 19:47:49,714 - mmdet - INFO - Epoch [12][2950/7330] lr: 1.000e-06, eta: 1:05:13, time: 0.876, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0365, loss_cls: 0.1428, acc: 94.4910, loss_bbox: 0.1973, loss_mask: 0.2073, loss: 0.5951 2024-06-02 19:48:35,079 - mmdet - INFO - Epoch [12][3000/7330] lr: 1.000e-06, eta: 1:04:28, time: 0.907, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0371, loss_cls: 0.1404, acc: 94.6482, loss_bbox: 0.1926, loss_mask: 0.2051, loss: 0.5856 2024-06-02 19:49:20,110 - mmdet - INFO - Epoch [12][3050/7330] lr: 1.000e-06, eta: 1:03:44, time: 0.901, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0351, loss_cls: 0.1351, acc: 94.6565, loss_bbox: 0.1934, loss_mask: 0.2062, loss: 0.5800 2024-06-02 19:50:05,883 - mmdet - INFO - Epoch [12][3100/7330] lr: 1.000e-06, eta: 1:02:59, time: 0.915, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0376, loss_cls: 0.1421, acc: 94.4741, loss_bbox: 0.1965, loss_mask: 0.2063, loss: 0.5934 2024-06-02 19:50:48,420 - mmdet - INFO - Epoch [12][3150/7330] lr: 1.000e-06, eta: 1:02:14, time: 0.851, data_time: 0.041, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0337, loss_cls: 0.1366, acc: 94.7068, loss_bbox: 0.1880, loss_mask: 0.2095, loss: 0.5779 2024-06-02 19:51:31,822 - mmdet - INFO - Epoch [12][3200/7330] lr: 1.000e-06, eta: 1:01:30, time: 0.868, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0364, loss_cls: 0.1416, acc: 94.5537, loss_bbox: 0.1971, loss_mask: 0.2094, loss: 0.5948 2024-06-02 19:52:17,233 - mmdet - INFO - Epoch [12][3250/7330] lr: 1.000e-06, eta: 1:00:45, time: 0.908, data_time: 0.038, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0372, loss_cls: 0.1427, acc: 94.5090, loss_bbox: 0.1987, loss_mask: 0.2112, loss: 0.6012 2024-06-02 19:53:00,092 - mmdet - INFO - Epoch [12][3300/7330] lr: 1.000e-06, eta: 1:00:00, time: 0.857, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0368, loss_cls: 0.1406, acc: 94.5259, loss_bbox: 0.1965, loss_mask: 0.2092, loss: 0.5942 2024-06-02 19:53:44,361 - mmdet - INFO - Epoch [12][3350/7330] lr: 1.000e-06, eta: 0:59:15, time: 0.885, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0397, loss_cls: 0.1499, acc: 94.1511, loss_bbox: 0.2076, loss_mask: 0.2091, loss: 0.6188 2024-06-02 19:54:31,389 - mmdet - INFO - Epoch [12][3400/7330] lr: 1.000e-06, eta: 0:58:31, time: 0.940, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0352, loss_cls: 0.1364, acc: 94.7341, loss_bbox: 0.1922, loss_mask: 0.2035, loss: 0.5775 2024-06-02 19:55:16,870 - mmdet - INFO - Epoch [12][3450/7330] lr: 1.000e-06, eta: 0:57:46, time: 0.910, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0351, loss_cls: 0.1338, acc: 94.8069, loss_bbox: 0.1902, loss_mask: 0.2102, loss: 0.5798 2024-06-02 19:56:02,190 - mmdet - INFO - Epoch [12][3500/7330] lr: 1.000e-06, eta: 0:57:02, time: 0.906, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0356, loss_cls: 0.1386, acc: 94.6794, loss_bbox: 0.1922, loss_mask: 0.2112, loss: 0.5878 2024-06-02 19:56:45,420 - mmdet - INFO - Epoch [12][3550/7330] lr: 1.000e-06, eta: 0:56:17, time: 0.865, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0365, loss_cls: 0.1427, acc: 94.5305, loss_bbox: 0.1986, loss_mask: 0.2043, loss: 0.5934 2024-06-02 19:57:33,618 - mmdet - INFO - Epoch [12][3600/7330] lr: 1.000e-06, eta: 0:55:32, time: 0.964, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0386, loss_cls: 0.1431, acc: 94.4961, loss_bbox: 0.2012, loss_mask: 0.2113, loss: 0.6047 2024-06-02 19:58:16,372 - mmdet - INFO - Epoch [12][3650/7330] lr: 1.000e-06, eta: 0:54:48, time: 0.855, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0357, loss_cls: 0.1374, acc: 94.7019, loss_bbox: 0.1927, loss_mask: 0.2079, loss: 0.5842 2024-06-02 19:59:01,334 - mmdet - INFO - Epoch [12][3700/7330] lr: 1.000e-06, eta: 0:54:03, time: 0.899, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0357, loss_cls: 0.1388, acc: 94.5771, loss_bbox: 0.1974, loss_mask: 0.2074, loss: 0.5891 2024-06-02 19:59:44,056 - mmdet - INFO - Epoch [12][3750/7330] lr: 1.000e-06, eta: 0:53:18, time: 0.854, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0367, loss_cls: 0.1412, acc: 94.5447, loss_bbox: 0.1927, loss_mask: 0.2088, loss: 0.5893 2024-06-02 20:00:27,168 - mmdet - INFO - Epoch [12][3800/7330] lr: 1.000e-06, eta: 0:52:33, time: 0.862, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0373, loss_cls: 0.1420, acc: 94.6038, loss_bbox: 0.1961, loss_mask: 0.2122, loss: 0.5982 2024-06-02 20:01:11,980 - mmdet - INFO - Epoch [12][3850/7330] lr: 1.000e-06, eta: 0:51:49, time: 0.896, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0368, loss_cls: 0.1490, acc: 94.2786, loss_bbox: 0.2062, loss_mask: 0.2140, loss: 0.6162 2024-06-02 20:01:54,276 - mmdet - INFO - Epoch [12][3900/7330] lr: 1.000e-06, eta: 0:51:04, time: 0.846, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0327, loss_cls: 0.1319, acc: 94.9321, loss_bbox: 0.1891, loss_mask: 0.2059, loss: 0.5694 2024-06-02 20:02:37,397 - mmdet - INFO - Epoch [12][3950/7330] lr: 1.000e-06, eta: 0:50:19, time: 0.862, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0344, loss_cls: 0.1383, acc: 94.7473, loss_bbox: 0.1921, loss_mask: 0.2023, loss: 0.5777 2024-06-02 20:03:25,120 - mmdet - INFO - Epoch [12][4000/7330] lr: 1.000e-06, eta: 0:49:35, time: 0.954, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0341, loss_cls: 0.1379, acc: 94.6897, loss_bbox: 0.1910, loss_mask: 0.2059, loss: 0.5791 2024-06-02 20:04:10,733 - mmdet - INFO - Epoch [12][4050/7330] lr: 1.000e-06, eta: 0:48:50, time: 0.912, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0377, loss_cls: 0.1431, acc: 94.4512, loss_bbox: 0.1989, loss_mask: 0.2081, loss: 0.5989 2024-06-02 20:04:58,506 - mmdet - INFO - Epoch [12][4100/7330] lr: 1.000e-06, eta: 0:48:05, time: 0.956, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0346, loss_cls: 0.1350, acc: 94.7610, loss_bbox: 0.1902, loss_mask: 0.2051, loss: 0.5753 2024-06-02 20:05:41,982 - mmdet - INFO - Epoch [12][4150/7330] lr: 1.000e-06, eta: 0:47:21, time: 0.869, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0388, loss_cls: 0.1504, acc: 94.1863, loss_bbox: 0.2056, loss_mask: 0.2127, loss: 0.6189 2024-06-02 20:06:27,173 - mmdet - INFO - Epoch [12][4200/7330] lr: 1.000e-06, eta: 0:46:36, time: 0.904, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0375, loss_cls: 0.1445, acc: 94.3430, loss_bbox: 0.1995, loss_mask: 0.2107, loss: 0.6033 2024-06-02 20:07:10,030 - mmdet - INFO - Epoch [12][4250/7330] lr: 1.000e-06, eta: 0:45:51, time: 0.857, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0345, loss_cls: 0.1383, acc: 94.6648, loss_bbox: 0.1963, loss_mask: 0.2096, loss: 0.5892 2024-06-02 20:07:53,122 - mmdet - INFO - Epoch [12][4300/7330] lr: 1.000e-06, eta: 0:45:07, time: 0.862, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0366, loss_cls: 0.1418, acc: 94.4644, loss_bbox: 0.1965, loss_mask: 0.2090, loss: 0.5950 2024-06-02 20:08:40,921 - mmdet - INFO - Epoch [12][4350/7330] lr: 1.000e-06, eta: 0:44:22, time: 0.956, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0352, loss_cls: 0.1369, acc: 94.7324, loss_bbox: 0.1936, loss_mask: 0.2095, loss: 0.5862 2024-06-02 20:09:24,732 - mmdet - INFO - Epoch [12][4400/7330] lr: 1.000e-06, eta: 0:43:37, time: 0.876, data_time: 0.063, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0364, loss_cls: 0.1472, acc: 94.2942, loss_bbox: 0.2006, loss_mask: 0.2130, loss: 0.6093 2024-06-02 20:10:07,862 - mmdet - INFO - Epoch [12][4450/7330] lr: 1.000e-06, eta: 0:42:53, time: 0.863, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0392, loss_cls: 0.1447, acc: 94.3516, loss_bbox: 0.2044, loss_mask: 0.2100, loss: 0.6093 2024-06-02 20:10:51,291 - mmdet - INFO - Epoch [12][4500/7330] lr: 1.000e-06, eta: 0:42:08, time: 0.869, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0372, loss_cls: 0.1435, acc: 94.5078, loss_bbox: 0.1947, loss_mask: 0.2067, loss: 0.5935 2024-06-02 20:11:34,087 - mmdet - INFO - Epoch [12][4550/7330] lr: 1.000e-06, eta: 0:41:23, time: 0.856, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0349, loss_cls: 0.1369, acc: 94.7598, loss_bbox: 0.1928, loss_mask: 0.2045, loss: 0.5788 2024-06-02 20:12:21,567 - mmdet - INFO - Epoch [12][4600/7330] lr: 1.000e-06, eta: 0:40:39, time: 0.950, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0382, loss_cls: 0.1428, acc: 94.4680, loss_bbox: 0.2034, loss_mask: 0.2144, loss: 0.6112 2024-06-02 20:13:09,133 - mmdet - INFO - Epoch [12][4650/7330] lr: 1.000e-06, eta: 0:39:54, time: 0.951, data_time: 0.044, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0384, loss_cls: 0.1450, acc: 94.3579, loss_bbox: 0.1997, loss_mask: 0.2125, loss: 0.6066 2024-06-02 20:13:54,898 - mmdet - INFO - Epoch [12][4700/7330] lr: 1.000e-06, eta: 0:39:09, time: 0.915, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0379, loss_cls: 0.1419, acc: 94.5466, loss_bbox: 0.1948, loss_mask: 0.2135, loss: 0.5989 2024-06-02 20:14:37,670 - mmdet - INFO - Epoch [12][4750/7330] lr: 1.000e-06, eta: 0:38:25, time: 0.855, data_time: 0.062, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0374, loss_cls: 0.1391, acc: 94.6799, loss_bbox: 0.1983, loss_mask: 0.2085, loss: 0.5943 2024-06-02 20:15:23,469 - mmdet - INFO - Epoch [12][4800/7330] lr: 1.000e-06, eta: 0:37:40, time: 0.916, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0355, loss_cls: 0.1347, acc: 94.7371, loss_bbox: 0.1912, loss_mask: 0.2077, loss: 0.5795 2024-06-02 20:16:06,595 - mmdet - INFO - Epoch [12][4850/7330] lr: 1.000e-06, eta: 0:36:55, time: 0.863, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0360, loss_cls: 0.1400, acc: 94.6213, loss_bbox: 0.1956, loss_mask: 0.2067, loss: 0.5893 2024-06-02 20:16:52,141 - mmdet - INFO - Epoch [12][4900/7330] lr: 1.000e-06, eta: 0:36:11, time: 0.911, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0362, loss_cls: 0.1423, acc: 94.5688, loss_bbox: 0.1976, loss_mask: 0.2130, loss: 0.5995 2024-06-02 20:17:37,598 - mmdet - INFO - Epoch [12][4950/7330] lr: 1.000e-06, eta: 0:35:26, time: 0.909, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0371, loss_cls: 0.1498, acc: 94.2219, loss_bbox: 0.2055, loss_mask: 0.2129, loss: 0.6169 2024-06-02 20:18:21,171 - mmdet - INFO - Epoch [12][5000/7330] lr: 1.000e-06, eta: 0:34:41, time: 0.871, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0370, loss_cls: 0.1381, acc: 94.6108, loss_bbox: 0.1918, loss_mask: 0.2051, loss: 0.5831 2024-06-02 20:19:04,511 - mmdet - INFO - Epoch [12][5050/7330] lr: 1.000e-06, eta: 0:33:57, time: 0.867, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0378, loss_cls: 0.1476, acc: 94.2954, loss_bbox: 0.2025, loss_mask: 0.2101, loss: 0.6100 2024-06-02 20:19:47,354 - mmdet - INFO - Epoch [12][5100/7330] lr: 1.000e-06, eta: 0:33:12, time: 0.857, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0348, loss_cls: 0.1392, acc: 94.5718, loss_bbox: 0.1926, loss_mask: 0.2104, loss: 0.5869 2024-06-02 20:20:32,664 - mmdet - INFO - Epoch [12][5150/7330] lr: 1.000e-06, eta: 0:32:27, time: 0.906, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0359, loss_cls: 0.1388, acc: 94.5398, loss_bbox: 0.1959, loss_mask: 0.2071, loss: 0.5883 2024-06-02 20:21:18,832 - mmdet - INFO - Epoch [12][5200/7330] lr: 1.000e-06, eta: 0:31:43, time: 0.923, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0368, loss_cls: 0.1348, acc: 94.7139, loss_bbox: 0.1876, loss_mask: 0.2064, loss: 0.5763 2024-06-02 20:22:03,930 - mmdet - INFO - Epoch [12][5250/7330] lr: 1.000e-06, eta: 0:30:58, time: 0.902, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0356, loss_cls: 0.1385, acc: 94.6375, loss_bbox: 0.1920, loss_mask: 0.2056, loss: 0.5824 2024-06-02 20:22:51,699 - mmdet - INFO - Epoch [12][5300/7330] lr: 1.000e-06, eta: 0:30:13, time: 0.956, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0352, loss_cls: 0.1373, acc: 94.6829, loss_bbox: 0.1916, loss_mask: 0.2095, loss: 0.5837 2024-06-02 20:23:34,269 - mmdet - INFO - Epoch [12][5350/7330] lr: 1.000e-06, eta: 0:29:29, time: 0.851, data_time: 0.043, memory: 18040, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0361, loss_cls: 0.1430, acc: 94.5039, loss_bbox: 0.1990, loss_mask: 0.2116, loss: 0.6006 2024-06-02 20:24:38,485 - mmdet - INFO - Epoch [12][5400/7330] lr: 1.000e-06, eta: 0:28:44, time: 1.284, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0378, loss_cls: 0.1433, acc: 94.4465, loss_bbox: 0.1952, loss_mask: 0.2096, loss: 0.5966 2024-06-02 20:25:21,324 - mmdet - INFO - Epoch [12][5450/7330] lr: 1.000e-06, eta: 0:28:00, time: 0.857, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0361, loss_cls: 0.1389, acc: 94.6536, loss_bbox: 0.1927, loss_mask: 0.2081, loss: 0.5860 2024-06-02 20:26:04,089 - mmdet - INFO - Epoch [12][5500/7330] lr: 1.000e-06, eta: 0:27:15, time: 0.855, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0349, loss_cls: 0.1352, acc: 94.6956, loss_bbox: 0.1918, loss_mask: 0.2086, loss: 0.5804 2024-06-02 20:26:49,701 - mmdet - INFO - Epoch [12][5550/7330] lr: 1.000e-06, eta: 0:26:30, time: 0.912, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0357, loss_cls: 0.1360, acc: 94.7510, loss_bbox: 0.1915, loss_mask: 0.2038, loss: 0.5771 2024-06-02 20:27:33,498 - mmdet - INFO - Epoch [12][5600/7330] lr: 1.000e-06, eta: 0:25:46, time: 0.876, data_time: 0.040, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0373, loss_cls: 0.1359, acc: 94.7791, loss_bbox: 0.1882, loss_mask: 0.2062, loss: 0.5778 2024-06-02 20:28:18,704 - mmdet - INFO - Epoch [12][5650/7330] lr: 1.000e-06, eta: 0:25:01, time: 0.904, data_time: 0.052, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0357, loss_cls: 0.1417, acc: 94.4502, loss_bbox: 0.2014, loss_mask: 0.2137, loss: 0.6040 2024-06-02 20:29:01,627 - mmdet - INFO - Epoch [12][5700/7330] lr: 1.000e-06, eta: 0:24:16, time: 0.858, data_time: 0.066, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0384, loss_cls: 0.1439, acc: 94.3547, loss_bbox: 0.1996, loss_mask: 0.2115, loss: 0.6038 2024-06-02 20:29:45,193 - mmdet - INFO - Epoch [12][5750/7330] lr: 1.000e-06, eta: 0:23:31, time: 0.870, data_time: 0.047, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0355, loss_cls: 0.1391, acc: 94.6472, loss_bbox: 0.1951, loss_mask: 0.2102, loss: 0.5902 2024-06-02 20:30:32,142 - mmdet - INFO - Epoch [12][5800/7330] lr: 1.000e-06, eta: 0:22:47, time: 0.940, data_time: 0.050, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0352, loss_cls: 0.1384, acc: 94.6550, loss_bbox: 0.1927, loss_mask: 0.2084, loss: 0.5852 2024-06-02 20:31:18,296 - mmdet - INFO - Epoch [12][5850/7330] lr: 1.000e-06, eta: 0:22:02, time: 0.923, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0397, loss_cls: 0.1470, acc: 94.3010, loss_bbox: 0.2082, loss_mask: 0.2126, loss: 0.6189 2024-06-02 20:32:06,324 - mmdet - INFO - Epoch [12][5900/7330] lr: 1.000e-06, eta: 0:21:18, time: 0.961, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0337, loss_cls: 0.1314, acc: 94.9458, loss_bbox: 0.1845, loss_mask: 0.2036, loss: 0.5630 2024-06-02 20:32:49,854 - mmdet - INFO - Epoch [12][5950/7330] lr: 1.000e-06, eta: 0:20:33, time: 0.870, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0365, loss_cls: 0.1417, acc: 94.5542, loss_bbox: 0.1948, loss_mask: 0.2071, loss: 0.5918 2024-06-02 20:33:38,791 - mmdet - INFO - Epoch [12][6000/7330] lr: 1.000e-06, eta: 0:19:48, time: 0.979, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0372, loss_cls: 0.1404, acc: 94.5530, loss_bbox: 0.1941, loss_mask: 0.2113, loss: 0.5943 2024-06-02 20:34:24,044 - mmdet - INFO - Epoch [12][6050/7330] lr: 1.000e-06, eta: 0:19:04, time: 0.905, data_time: 0.046, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0356, loss_cls: 0.1326, acc: 94.8376, loss_bbox: 0.1857, loss_mask: 0.2032, loss: 0.5674 2024-06-02 20:35:07,074 - mmdet - INFO - Epoch [12][6100/7330] lr: 1.000e-06, eta: 0:18:19, time: 0.861, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0368, loss_cls: 0.1449, acc: 94.4299, loss_bbox: 0.2025, loss_mask: 0.2193, loss: 0.6145 2024-06-02 20:35:49,869 - mmdet - INFO - Epoch [12][6150/7330] lr: 1.000e-06, eta: 0:17:34, time: 0.856, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0372, loss_cls: 0.1442, acc: 94.4058, loss_bbox: 0.1985, loss_mask: 0.2109, loss: 0.6024 2024-06-02 20:36:32,820 - mmdet - INFO - Epoch [12][6200/7330] lr: 1.000e-06, eta: 0:16:49, time: 0.859, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0361, loss_cls: 0.1409, acc: 94.5640, loss_bbox: 0.1950, loss_mask: 0.2118, loss: 0.5931 2024-06-02 20:37:17,468 - mmdet - INFO - Epoch [12][6250/7330] lr: 1.000e-06, eta: 0:16:05, time: 0.893, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0330, loss_cls: 0.1341, acc: 94.8528, loss_bbox: 0.1847, loss_mask: 0.2058, loss: 0.5669 2024-06-02 20:38:00,713 - mmdet - INFO - Epoch [12][6300/7330] lr: 1.000e-06, eta: 0:15:20, time: 0.865, data_time: 0.054, memory: 18040, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0359, loss_cls: 0.1347, acc: 94.8318, loss_bbox: 0.1906, loss_mask: 0.2025, loss: 0.5736 2024-06-02 20:38:44,160 - mmdet - INFO - Epoch [12][6350/7330] lr: 1.000e-06, eta: 0:14:35, time: 0.869, data_time: 0.059, memory: 18040, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0361, loss_cls: 0.1398, acc: 94.5132, loss_bbox: 0.1968, loss_mask: 0.2068, loss: 0.5898 2024-06-02 20:39:29,895 - mmdet - INFO - Epoch [12][6400/7330] lr: 1.000e-06, eta: 0:13:51, time: 0.915, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0346, loss_cls: 0.1381, acc: 94.6870, loss_bbox: 0.1950, loss_mask: 0.2127, loss: 0.5921 2024-06-02 20:40:18,728 - mmdet - INFO - Epoch [12][6450/7330] lr: 1.000e-06, eta: 0:13:06, time: 0.977, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0357, loss_cls: 0.1368, acc: 94.7961, loss_bbox: 0.1888, loss_mask: 0.2080, loss: 0.5795 2024-06-02 20:41:06,708 - mmdet - INFO - Epoch [12][6500/7330] lr: 1.000e-06, eta: 0:12:21, time: 0.960, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0355, loss_cls: 0.1366, acc: 94.7388, loss_bbox: 0.1906, loss_mask: 0.2082, loss: 0.5825 2024-06-02 20:41:50,348 - mmdet - INFO - Epoch [12][6550/7330] lr: 1.000e-06, eta: 0:11:37, time: 0.873, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0361, loss_cls: 0.1408, acc: 94.5818, loss_bbox: 0.1964, loss_mask: 0.2101, loss: 0.5941 2024-06-02 20:42:33,608 - mmdet - INFO - Epoch [12][6600/7330] lr: 1.000e-06, eta: 0:10:52, time: 0.865, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0380, loss_cls: 0.1436, acc: 94.4412, loss_bbox: 0.1993, loss_mask: 0.2103, loss: 0.6026 2024-06-02 20:43:22,433 - mmdet - INFO - Epoch [12][6650/7330] lr: 1.000e-06, eta: 0:10:07, time: 0.976, data_time: 0.048, memory: 18040, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0341, loss_cls: 0.1340, acc: 94.8528, loss_bbox: 0.1893, loss_mask: 0.2073, loss: 0.5748 2024-06-02 20:44:06,235 - mmdet - INFO - Epoch [12][6700/7330] lr: 1.000e-06, eta: 0:09:23, time: 0.876, data_time: 0.057, memory: 18040, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0376, loss_cls: 0.1411, acc: 94.4990, loss_bbox: 0.1966, loss_mask: 0.2086, loss: 0.5957 2024-06-02 20:44:49,929 - mmdet - INFO - Epoch [12][6750/7330] lr: 1.000e-06, eta: 0:08:38, time: 0.874, data_time: 0.051, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0332, loss_cls: 0.1409, acc: 94.6062, loss_bbox: 0.1905, loss_mask: 0.2063, loss: 0.5812 2024-06-02 20:45:33,209 - mmdet - INFO - Epoch [12][6800/7330] lr: 1.000e-06, eta: 0:07:53, time: 0.866, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0372, loss_cls: 0.1418, acc: 94.5422, loss_bbox: 0.1981, loss_mask: 0.2101, loss: 0.5975 2024-06-02 20:46:18,830 - mmdet - INFO - Epoch [12][6850/7330] lr: 1.000e-06, eta: 0:07:09, time: 0.912, data_time: 0.049, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0371, loss_cls: 0.1410, acc: 94.5076, loss_bbox: 0.1969, loss_mask: 0.2083, loss: 0.5946 2024-06-02 20:47:02,048 - mmdet - INFO - Epoch [12][6900/7330] lr: 1.000e-06, eta: 0:06:24, time: 0.864, data_time: 0.053, memory: 18040, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0359, loss_cls: 0.1439, acc: 94.4133, loss_bbox: 0.1960, loss_mask: 0.2101, loss: 0.5973 2024-06-02 20:47:51,018 - mmdet - INFO - Epoch [12][6950/7330] lr: 1.000e-06, eta: 0:05:39, time: 0.979, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0356, loss_cls: 0.1379, acc: 94.6597, loss_bbox: 0.1919, loss_mask: 0.2062, loss: 0.5818 2024-06-02 20:48:34,110 - mmdet - INFO - Epoch [12][7000/7330] lr: 1.000e-06, eta: 0:04:54, time: 0.862, data_time: 0.056, memory: 18040, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0362, loss_cls: 0.1435, acc: 94.4243, loss_bbox: 0.1984, loss_mask: 0.2103, loss: 0.5995 2024-06-02 20:49:22,483 - mmdet - INFO - Epoch [12][7050/7330] lr: 1.000e-06, eta: 0:04:10, time: 0.967, data_time: 0.067, memory: 18040, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0395, loss_cls: 0.1487, acc: 94.2834, loss_bbox: 0.2006, loss_mask: 0.2125, loss: 0.6135 2024-06-02 20:50:07,321 - mmdet - INFO - Epoch [12][7100/7330] lr: 1.000e-06, eta: 0:03:25, time: 0.897, data_time: 0.045, memory: 18040, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0352, loss_cls: 0.1363, acc: 94.7246, loss_bbox: 0.1924, loss_mask: 0.2070, loss: 0.5818 2024-06-02 20:50:50,592 - mmdet - INFO - Epoch [12][7150/7330] lr: 1.000e-06, eta: 0:02:40, time: 0.865, data_time: 0.055, memory: 18040, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0361, loss_cls: 0.1409, acc: 94.5588, loss_bbox: 0.1979, loss_mask: 0.2111, loss: 0.5961 2024-06-02 20:51:34,258 - mmdet - INFO - Epoch [12][7200/7330] lr: 1.000e-06, eta: 0:01:56, time: 0.873, data_time: 0.058, memory: 18040, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0401, loss_cls: 0.1427, acc: 94.5674, loss_bbox: 0.2003, loss_mask: 0.2122, loss: 0.6068 2024-06-02 20:52:22,271 - mmdet - INFO - Epoch [12][7250/7330] lr: 1.000e-06, eta: 0:01:11, time: 0.960, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0352, loss_cls: 0.1311, acc: 94.9512, loss_bbox: 0.1829, loss_mask: 0.2009, loss: 0.5607 2024-06-02 20:53:05,612 - mmdet - INFO - Epoch [12][7300/7330] lr: 1.000e-06, eta: 0:00:26, time: 0.867, data_time: 0.060, memory: 18040, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0346, loss_cls: 0.1360, acc: 94.7544, loss_bbox: 0.1897, loss_mask: 0.2066, loss: 0.5777 2024-06-02 20:53:32,464 - mmdet - INFO - Saving checkpoint at 12 epochs 2024-06-02 20:55:32,999 - mmdet - INFO - Evaluating bbox... 2024-06-02 20:55:53,740 - 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 ] = 0.707 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.530 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.297 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.520 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.659 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.593 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.593 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.593 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.401 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.634 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.764 2024-06-02 20:55:53,741 - mmdet - INFO - Evaluating segm... 2024-06-02 20:56:20,115 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.429 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.673 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.459 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.214 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 ] = 0.646 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.331 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.576 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.722 2024-06-02 20:56:20,495 - mmdet - INFO - Exp name: mask_rcnn_deit_tsbl_1568_1120_672_448_fpn_1x_coco_bs16.py 2024-06-02 20:56:20,498 - mmdet - INFO - Epoch(val) [12][625] bbox_mAP: 0.4820, bbox_mAP_50: 0.7070, bbox_mAP_75: 0.5300, bbox_mAP_s: 0.2970, bbox_mAP_m: 0.5200, bbox_mAP_l: 0.6590, bbox_mAP_copypaste: 0.482 0.707 0.530 0.297 0.520 0.659, segm_mAP: 0.4290, segm_mAP_50: 0.6730, segm_mAP_75: 0.4590, segm_mAP_s: 0.2140, segm_mAP_m: 0.4600, segm_mAP_l: 0.6460, segm_mAP_copypaste: 0.429 0.673 0.459 0.214 0.460 0.646