labelmatch_1_10_40k.log

2021-10-31 12:24:10,453 - mmdet - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56) [GCC 7.2.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 10.1, V10.1.243
GCC: gcc (Ubuntu 5.4.0-6ubuntu1~16.04.12) 5.4.0 20160609
PyTorch: 1.5.0+cu101
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2019.0.5 Product Build 20190808 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.1
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
  - CuDNN 7.6.3
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_INTERNAL_THREADPOOL_IMPL -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, 

TorchVision: 0.6.0+cu101
OpenCV: 4.5.2
MMCV: 1.2.7
MMCV Compiler: GCC 5.4
MMCV CUDA Compiler: 10.1
MMDetection: 2.10.0+unknown
------------------------------------------------------------

2021-10-31 12:24:13,299 - mmdet - INFO - Distributed training: True
2021-10-31 12:24:16,211 - mmdet - INFO - Config:
seed = 1
percent = 10
gpu = 8
score = 0.9
samples_per_gpu = 4
total_iter = 40000
update_interval = 1000
test_interval = 2000
save_interval = 10000
img_norm_cfg = dict(
    mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
image_size = (1024, 1024)
pipeline = [
    dict(type='LoadImageFromFile'),
    dict(type='LoadAnnotations', with_bbox=True),
    dict(
        type='Resize',
        img_scale=(1024, 1024),
        ratio_range=(0.5, 1.5),
        keep_ratio=True),
    dict(type='RandomFlip', flip_ratio=0.5),
    dict(type='AugmentationUT', use_re=False),
    dict(
        type='Normalize',
        mean=[123.675, 116.28, 103.53],
        std=[58.395, 57.12, 57.375],
        to_rgb=True),
    dict(type='Pad', size_divisor=32),
    dict(type='DefaultFormatBundle'),
    dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])
]
pipeline_u_share = [
    dict(type='LoadImageFromFile'),
    dict(type='LoadAnnotations', with_bbox=True),
    dict(type='RandomFlip', flip_ratio=0.5)
]
pipeline_u = [
    dict(type='AddBBoxTransform'),
    dict(
        type='ResizeBox',
        img_scale=[(1333, 500), (1333, 800)],
        keep_ratio=True),
    dict(
        type='Normalize',
        mean=[123.675, 116.28, 103.53],
        std=[58.395, 57.12, 57.375],
        to_rgb=True),
    dict(type='Pad', size_divisor=32),
    dict(type='DefaultFormatBundle'),
    dict(
        type='Collect',
        keys=['img', 'gt_bboxes', 'gt_labels'],
        meta_keys=('filename', 'ori_filename', 'ori_shape', 'img_shape',
                   'pad_shape', 'scale_factor', 'flip', 'flip_direction',
                   'img_norm_cfg', 'bbox_transform'))
]
pipeline_u_1 = [
    dict(type='AddBBoxTransform'),
    dict(
        type='ResizeBox',
        img_scale=(1024, 1024),
        ratio_range=(0.5, 1.5),
        keep_ratio=True),
    dict(type='AugmentationUT', use_re=True, use_box=False),
    dict(
        type='Normalize',
        mean=[123.675, 116.28, 103.53],
        std=[58.395, 57.12, 57.375],
        to_rgb=True),
    dict(type='Pad', size_divisor=32),
    dict(type='DefaultFormatBundle'),
    dict(
        type='Collect',
        keys=['img', 'gt_bboxes', 'gt_labels'],
        meta_keys=('filename', 'ori_filename', 'ori_shape', 'img_shape',
                   'pad_shape', 'scale_factor', 'flip', 'flip_direction',
                   'img_norm_cfg', 'bbox_transform'))
]
test_pipeline = [
    dict(type='LoadImageFromFile'),
    dict(
        type='MultiScaleFlipAug',
        img_scale=(1333, 800),
        flip=False,
        transforms=[
            dict(type='Resize', keep_ratio=True),
            dict(type='RandomFlip'),
            dict(
                type='Normalize',
                mean=[123.675, 116.28, 103.53],
                std=[58.395, 57.12, 57.375],
                to_rgb=True),
            dict(type='Pad', size_divisor=32),
            dict(type='ImageToTensor', keys=['img']),
            dict(type='Collect', keys=['img'])
        ])
]
dataset_type = 'CocoDataset'
data_root = './dataset/coco/'
data = dict(
    samples_per_gpu=4,
    workers_per_gpu=4,
    train=dict(
        type='SemiCocoDataset',
        ann_file=
        './dataset/coco/annotations/semi_supervised/instances_train2017.1@10.json',
        ann_file_u=
        './dataset/coco/annotations/semi_supervised/instances_train2017.1@10-unlabeled.json',
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(type='LoadAnnotations', with_bbox=True),
            dict(
                type='Resize',
                img_scale=(1024, 1024),
                ratio_range=(0.5, 1.5),
                keep_ratio=True),
            dict(type='RandomFlip', flip_ratio=0.5),
            dict(type='AugmentationUT', use_re=False),
            dict(
                type='Normalize',
                mean=[123.675, 116.28, 103.53],
                std=[58.395, 57.12, 57.375],
                to_rgb=True),
            dict(type='Pad', size_divisor=32),
            dict(type='DefaultFormatBundle'),
            dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])
        ],
        pipeline_u_share=[
            dict(type='LoadImageFromFile'),
            dict(type='LoadAnnotations', with_bbox=True),
            dict(type='RandomFlip', flip_ratio=0.5)
        ],
        pipeline_u=[
            dict(type='AddBBoxTransform'),
            dict(
                type='ResizeBox',
                img_scale=[(1333, 500), (1333, 800)],
                keep_ratio=True),
            dict(
                type='Normalize',
                mean=[123.675, 116.28, 103.53],
                std=[58.395, 57.12, 57.375],
                to_rgb=True),
            dict(type='Pad', size_divisor=32),
            dict(type='DefaultFormatBundle'),
            dict(
                type='Collect',
                keys=['img', 'gt_bboxes', 'gt_labels'],
                meta_keys=('filename', 'ori_filename', 'ori_shape',
                           'img_shape', 'pad_shape', 'scale_factor', 'flip',
                           'flip_direction', 'img_norm_cfg', 'bbox_transform'))
        ],
        pipeline_u_1=[
            dict(type='AddBBoxTransform'),
            dict(
                type='ResizeBox',
                img_scale=(1024, 1024),
                ratio_range=(0.5, 1.5),
                keep_ratio=True),
            dict(type='AugmentationUT', use_re=True, use_box=False),
            dict(
                type='Normalize',
                mean=[123.675, 116.28, 103.53],
                std=[58.395, 57.12, 57.375],
                to_rgb=True),
            dict(type='Pad', size_divisor=32),
            dict(type='DefaultFormatBundle'),
            dict(
                type='Collect',
                keys=['img', 'gt_bboxes', 'gt_labels'],
                meta_keys=('filename', 'ori_filename', 'ori_shape',
                           'img_shape', 'pad_shape', 'scale_factor', 'flip',
                           'flip_direction', 'img_norm_cfg', 'bbox_transform'))
        ],
        img_prefix='./dataset/coco/train2017/',
        img_prefix_u='./dataset/coco/train2017/'),
    val=dict(
        type='CocoDataset',
        ann_file='./dataset/coco/annotations/instances_val2017.json',
        img_prefix='./dataset/coco/val2017/',
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(
                type='MultiScaleFlipAug',
                img_scale=(1333, 800),
                flip=False,
                transforms=[
                    dict(type='Resize', keep_ratio=True),
                    dict(type='RandomFlip'),
                    dict(
                        type='Normalize',
                        mean=[123.675, 116.28, 103.53],
                        std=[58.395, 57.12, 57.375],
                        to_rgb=True),
                    dict(type='Pad', size_divisor=32),
                    dict(type='ImageToTensor', keys=['img']),
                    dict(type='Collect', keys=['img'])
                ])
        ]),
    test=dict(
        type='CocoDataset',
        ann_file='./dataset/coco/annotations/instances_val2017.json',
        img_prefix='./dataset/coco/val2017/',
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(
                type='MultiScaleFlipAug',
                img_scale=(1333, 800),
                flip=False,
                transforms=[
                    dict(type='Resize', keep_ratio=True),
                    dict(type='RandomFlip'),
                    dict(
                        type='Normalize',
                        mean=[123.675, 116.28, 103.53],
                        std=[58.395, 57.12, 57.375],
                        to_rgb=True),
                    dict(type='Pad', size_divisor=32),
                    dict(type='ImageToTensor', keys=['img']),
                    dict(type='Collect', keys=['img'])
                ])
        ]))
evaluation = dict(interval=2000, metric='bbox', by_epoch=False, classwise=True)
learning_rate = 0.02
optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=None)
lr_config = dict(
    policy='step',
    warmup='linear',
    warmup_iters=500,
    warmup_ratio=0.001,
    step=[40000])
runner = dict(type='SemiIterBasedRunner', max_iters=40000)
checkpoint_config = dict(interval=10000)
log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')])
labelmatch_hook_cfg = dict(
    samples_per_gpu=4,
    workers_per_gpu=4,
    label_file=
    './dataset/coco/annotations/semi_supervised/instances_train2017.1@10.json',
    evaluation=dict(interval=1000, metric='bbox', by_epoch=False),
    data=dict(
        type='TXTDataset',
        img_prefix='./dataset/coco/train2017/',
        ann_file=
        './dataset/coco/annotations/semi_supervised_txt/instances_train2017.1@10-unlabeled.txt',
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(
                type='MultiScaleFlipAug',
                img_scale=(1333, 800),
                flip=False,
                transforms=[
                    dict(type='Resize', keep_ratio=True),
                    dict(type='RandomFlip'),
                    dict(
                        type='Normalize',
                        mean=[123.675, 116.28, 103.53],
                        std=[58.395, 57.12, 57.375],
                        to_rgb=True),
                    dict(type='Pad', size_divisor=32),
                    dict(type='ImageToTensor', keys=['img']),
                    dict(type='Collect', keys=['img'])
                ])
        ],
        manual_length=10000))
custom_hooks = [
    dict(type='NumClassCheckHook'),
    dict(
        type='LabelMatchHook',
        cfg=dict(
            samples_per_gpu=4,
            workers_per_gpu=4,
            label_file=
            './dataset/coco/annotations/semi_supervised/instances_train2017.1@10.json',
            evaluation=dict(interval=1000, metric='bbox', by_epoch=False),
            data=dict(
                type='TXTDataset',
                img_prefix='./dataset/coco/train2017/',
                ann_file=
                './dataset/coco/annotations/semi_supervised_txt/instances_train2017.1@10-unlabeled.txt',
                pipeline=[
                    dict(type='LoadImageFromFile'),
                    dict(
                        type='MultiScaleFlipAug',
                        img_scale=(1333, 800),
                        flip=False,
                        transforms=[
                            dict(type='Resize', keep_ratio=True),
                            dict(type='RandomFlip'),
                            dict(
                                type='Normalize',
                                mean=[123.675, 116.28, 103.53],
                                std=[58.395, 57.12, 57.375],
                                to_rgb=True),
                            dict(type='Pad', size_divisor=32),
                            dict(type='ImageToTensor', keys=['img']),
                            dict(type='Collect', keys=['img'])
                        ])
                ],
                manual_length=10000)))
]
dist_params = dict(backend='nccl')
log_level = 'INFO'
resume_from = None
load_from = './pretrained_model/baseline/instances_train2017.1@10.pth'
workflow = [('train', 1)]
model = dict(
    type='LabelMatch',
    ema_config='./configs/baseline/baseline_base.py',
    ema_ckpt='./pretrained_model/baseline/instances_train2017.1@10.pth',
    cfg=dict(debug=False),
    pretrained='./pretrained_model/backbone/resnet50-19c8e357.pth',
    backbone=dict(
        type='ResNet',
        depth=50,
        num_stages=4,
        out_indices=(0, 1, 2, 3),
        frozen_stages=1,
        norm_cfg=dict(type='BN', requires_grad=True),
        norm_eval=True,
        style='pytorch'),
    neck=dict(
        type='FPN',
        in_channels=[256, 512, 1024, 2048],
        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='StandardRoIHeadLM',
        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='Shared2FCBBoxHeadLM',
            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=True,
            loss_cls=dict(
                type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
            loss_bbox=dict(type='L1Loss', 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='MaxIoUAssignerLM',
                pos_iou_thr=0.5,
                neg_iou_thr=0.5,
                min_pos_iou=0.5,
                match_low_quality=False,
                ignore_wrt_candidates=False,
                ignore_iof_thr=0.5),
            sampler=dict(
                type='RandomSamplerLM',
                num=512,
                pos_fraction=0.25,
                neg_pos_ub=-1,
                add_gt_as_proposals=True),
            pos_weight=-1,
            ig_weight=0.0,
            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=0.001,
            nms=dict(type='nms', iou_threshold=0.5),
            max_per_img=100)))
work_dir = './work_dirs/labelmatch_0.9_1_10_8'
gpu_ids = range(0, 8)

2021-10-31 12:24:16,536 - mmdet - INFO - load model from: ./pretrained_model/backbone/resnet50-19c8e357.pth
2021-10-31 12:24:16,536 - mmdet - INFO - Use load_from_local loader
2021-10-31 12:24:16,735 - mmdet - WARNING - The model and loaded state dict do not match exactly

unexpected key in source state_dict: fc.weight, fc.bias

2021-10-31 12:24:17,961 - mmdet - INFO - load model from: ./pretrained_model/backbone/resnet50-19c8e357.pth
2021-10-31 12:24:17,962 - mmdet - INFO - Use load_from_local loader
2021-10-31 12:24:18,158 - mmdet - WARNING - The model and loaded state dict do not match exactly

unexpected key in source state_dict: fc.weight, fc.bias

2021-10-31 12:24:42,112 - mmdet - INFO - Loading 107002 images, cost 0.10965704917907715
2021-10-31 12:24:46,418 - mmdet - INFO - boxes per image (label data): 7.374479397430217
2021-10-31 12:24:46,418 - mmdet - INFO - class ratio (label data): (0.3005-person) (0.0076-bicycle) (0.0526-car) (0.0093-motorcycle) (0.0056-airplane) (0.0063-bus) (0.0057-train) (0.0128-truck) (0.0132-boat) (0.0174-traffic light) (0.0020-fire hydrant) (0.0022-stop sign) (0.0015-parking meter) (0.0115-bench) (0.0128-bird) (0.0056-cat) (0.0058-dog) (0.0075-horse) (0.0111-sheep) (0.0099-cow) (0.0059-elephant) (0.0015-bear) (0.0058-zebra) (0.0055-giraffe) (0.0102-backpack) (0.0140-umbrella) (0.0143-handbag) (0.0065-tie) (0.0064-suitcase) (0.0029-frisbee) (0.0073-skis) (0.0029-snowboard) (0.0077-sports ball) (0.0100-kite) (0.0040-baseball bat) (0.0040-baseball glove) (0.0061-skateboard) (0.0082-surfboard) (0.0052-tennis racket) (0.0276-bottle) (0.0089-wine glass) (0.0273-cup) (0.0065-fork) (0.0093-knife) (0.0079-spoon) (0.0191-bowl) (0.0123-banana) (0.0075-apple) (0.0053-sandwich) (0.0090-orange) (0.0078-broccoli) (0.0094-carrot) (0.0029-hot dog) (0.0067-pizza) (0.0081-donut) (0.0069-cake) (0.0454-chair) (0.0066-couch) (0.0103-potted plant) (0.0045-bed) (0.0172-dining table) (0.0043-toilet) (0.0064-tv) (0.0059-laptop) (0.0026-mouse) (0.0070-remote) (0.0033-keyboard) (0.0082-cell phone) (0.0018-microwave) (0.0041-oven) (0.0003-toaster) (0.0061-sink) (0.0030-refrigerator) (0.0260-book) (0.0069-clock) (0.0085-vase) (0.0019-scissors) (0.0060-teddy bear) (0.0002-hair drier) (0.0022-toothbrush)
2021-10-31 12:24:46,419 - mmdet - INFO - load checkpoint from ./pretrained_model/baseline/instances_train2017.1@10.pth
2021-10-31 12:24:46,419 - mmdet - INFO - Use load_from_local loader
2021-10-31 12:24:47,061 - mmdet - INFO - Start running, host: root@train-rl-v100-3-0, work_dir: /data1/mmdet_ssod/work_dirs/labelmatch_0.9_1_10_8
2021-10-31 12:24:47,062 - mmdet - INFO - workflow: [('train', 1)], max: 40000 iters
2021-10-31 12:28:40,639 - mmdet - INFO - Iter [50/40000]	lr: 1.978e-03, eta: 1 day, 12:57:58, time: 3.331, data_time: 0.022, memory: 23691, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0564, loss_cls: 0.2534, acc: 91.8210, loss_bbox: 0.2825, loss_rpn_cls_unlabeled: 0.1880, loss_rpn_bbox_unlabeled: 0.1100, loss_cls_unlabeled: 0.2418, acc_unlabeled: 91.5310, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.2062, pseudo_num: 1.5283, pseudo_num_ig: 5.3951, pseudo_num_mining: 0.7174, pseudo_num(acc): 0.8563, pseudo_num ig(acc): 0.4777, loss: 1.5653
2021-10-31 12:30:04,193 - mmdet - INFO - Iter [100/40000]	lr: 3.976e-03, eta: 1 day, 3:46:02, time: 1.680, data_time: 0.037, memory: 24474, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0557, loss_cls: 0.2528, acc: 91.8087, loss_bbox: 0.2837, loss_rpn_cls_unlabeled: 0.1249, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.2077, acc_unlabeled: 91.8385, loss_bbox_unlabeled: 0.1573, losses_cls_ig_unlabeled: 0.1958, pseudo_num: 1.4111, pseudo_num_ig: 5.4283, pseudo_num_mining: 0.7166, pseudo_num(acc): 0.8704, pseudo_num ig(acc): 0.4878, loss: 1.4229
2021-10-31 12:31:27,212 - mmdet - INFO - Iter [150/40000]	lr: 5.974e-03, eta: 1 day, 0:37:18, time: 1.662, data_time: 0.029, memory: 24474, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0546, loss_cls: 0.2590, acc: 91.4769, loss_bbox: 0.2905, loss_rpn_cls_unlabeled: 0.1183, loss_rpn_bbox_unlabeled: 0.1037, loss_cls_unlabeled: 0.2154, acc_unlabeled: 91.3409, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.2008, pseudo_num: 1.3904, pseudo_num_ig: 5.4415, pseudo_num_mining: 0.6975, pseudo_num(acc): 0.8741, pseudo_num ig(acc): 0.4855, loss: 1.4581
2021-10-31 12:32:48,446 - mmdet - INFO - Iter [200/40000]	lr: 7.972e-03, eta: 22:56:05, time: 1.625, data_time: 0.026, memory: 24474, loss_rpn_cls: 0.0405, loss_rpn_bbox: 0.0536, loss_cls: 0.2449, acc: 91.9807, loss_bbox: 0.2766, loss_rpn_cls_unlabeled: 0.1242, loss_rpn_bbox_unlabeled: 0.0993, loss_cls_unlabeled: 0.2066, acc_unlabeled: 91.7313, loss_bbox_unlabeled: 0.1603, losses_cls_ig_unlabeled: 0.1972, pseudo_num: 1.3876, pseudo_num_ig: 5.4663, pseudo_num_mining: 0.6914, pseudo_num(acc): 0.8787, pseudo_num ig(acc): 0.4868, loss: 1.4033
2021-10-31 12:34:10,609 - mmdet - INFO - Iter [250/40000]	lr: 9.970e-03, eta: 21:57:03, time: 1.642, data_time: 0.026, memory: 25892, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0553, loss_cls: 0.2625, acc: 91.4723, loss_bbox: 0.2925, loss_rpn_cls_unlabeled: 0.1113, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.2062, acc_unlabeled: 91.5459, loss_bbox_unlabeled: 0.1579, losses_cls_ig_unlabeled: 0.1945, pseudo_num: 1.3734, pseudo_num_ig: 5.4190, pseudo_num_mining: 0.6808, pseudo_num(acc): 0.8800, pseudo_num ig(acc): 0.4873, loss: 1.4263
2021-10-31 12:35:32,899 - mmdet - INFO - Iter [300/40000]	lr: 1.197e-02, eta: 21:17:44, time: 1.646, data_time: 0.026, memory: 25892, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0533, loss_cls: 0.2376, acc: 92.2499, loss_bbox: 0.2696, loss_rpn_cls_unlabeled: 0.1132, loss_rpn_bbox_unlabeled: 0.1020, loss_cls_unlabeled: 0.2091, acc_unlabeled: 91.6729, loss_bbox_unlabeled: 0.1709, losses_cls_ig_unlabeled: 0.1878, pseudo_num: 1.3797, pseudo_num_ig: 5.4171, pseudo_num_mining: 0.6822, pseudo_num(acc): 0.8812, pseudo_num ig(acc): 0.4878, loss: 1.3867
2021-10-31 12:36:56,076 - mmdet - INFO - Iter [350/40000]	lr: 1.397e-02, eta: 20:50:44, time: 1.662, data_time: 0.028, memory: 26254, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0575, loss_cls: 0.2665, acc: 91.5354, loss_bbox: 0.2869, loss_rpn_cls_unlabeled: 0.1141, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.2054, acc_unlabeled: 91.6764, loss_bbox_unlabeled: 0.1661, losses_cls_ig_unlabeled: 0.1929, pseudo_num: 1.3850, pseudo_num_ig: 5.4282, pseudo_num_mining: 0.6834, pseudo_num(acc): 0.8834, pseudo_num ig(acc): 0.4877, loss: 1.4355
2021-10-31 12:38:19,201 - mmdet - INFO - Iter [400/40000]	lr: 1.596e-02, eta: 20:30:09, time: 1.662, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0568, loss_cls: 0.2802, acc: 91.2325, loss_bbox: 0.2954, loss_rpn_cls_unlabeled: 0.1124, loss_rpn_bbox_unlabeled: 0.1018, loss_cls_unlabeled: 0.2179, acc_unlabeled: 91.3801, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.2001, pseudo_num: 1.3816, pseudo_num_ig: 5.4360, pseudo_num_mining: 0.6866, pseudo_num(acc): 0.8837, pseudo_num ig(acc): 0.4884, loss: 1.4868
2021-10-31 12:39:42,417 - mmdet - INFO - Iter [450/40000]	lr: 1.796e-02, eta: 20:14:04, time: 1.665, data_time: 0.028, memory: 26254, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0591, loss_cls: 0.2911, acc: 90.9011, loss_bbox: 0.2990, loss_rpn_cls_unlabeled: 0.1168, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.2096, acc_unlabeled: 91.3223, loss_bbox_unlabeled: 0.1643, losses_cls_ig_unlabeled: 0.2095, pseudo_num: 1.3742, pseudo_num_ig: 5.4203, pseudo_num_mining: 0.6848, pseudo_num(acc): 0.8836, pseudo_num ig(acc): 0.4894, loss: 1.4982
2021-10-31 12:41:04,030 - mmdet - INFO - pseudo pos: 0.99(817.0-person) 1.00(22.0-bicycle) 0.95(148.0-car) 0.97(30.0-motorcycle) 0.97(29.0-airplane) 1.00(17.0-bus) 1.00(13.0-train) 0.90(31.0-truck) 0.70(27.0-boat) 0.83(48.0-traffic light) 1.00(8.0-fire hydrant) 1.00(10.0-stop sign) 1.00(3.0-parking meter) 0.74(35.0-bench) 0.87(31.0-bird) 0.93(14.0-cat) 1.00(18.0-dog) 0.90(21.0-horse) 0.89(46.0-sheep) 1.00(14.0-cow) 1.00(24.0-elephant) 1.00(9.0-bear) 1.00(14.0-zebra) 1.00(16.0-giraffe) 0.64(22.0-backpack) 0.89(36.0-umbrella) 0.47(55.0-handbag) 0.89(9.0-tie) 0.79(19.0-suitcase) 1.00(10.0-frisbee) 0.52(21.0-skis) 0.87(8.0-snowboard) 1.00(14.0-sports ball) 0.90(29.0-kite) 0.82(11.0-baseball bat) 0.91(11.0-baseball glove) 1.00(19.0-skateboard) 0.93(15.0-surfboard) 0.87(8.0-tennis racket) 0.87(54.0-bottle) 0.91(22.0-wine glass) 0.92(72.0-cup) 0.62(21.0-fork) 0.37(32.0-knife) 0.44(16.0-spoon) 0.94(31.0-bowl) 0.67(18.0-banana) 0.85(26.0-apple) 0.78(32.0-sandwich) 0.61(31.0-orange) 0.80(15.0-broccoli) 0.75(16.0-carrot) 1.00(6.0-hot dog) 0.96(26.0-pizza) 0.93(15.0-donut) 0.83(18.0-cake) 0.82(125.0-chair) 0.82(22.0-couch) 0.64(28.0-potted plant) 1.00(18.0-bed) 0.74(58.0-dining table) 0.93(14.0-toilet) 0.92(24.0-tv) 1.00(12.0-laptop) 1.00(6.0-mouse) 1.00(14.0-remote) 0.89(9.0-keyboard) 0.74(23.0-cell phone) 1.00(2.0-microwave) 0.50(6.0-oven) 0.00(0.0-toaster) 0.93(14.0-sink) 1.00(11.0-refrigerator) 0.63(35.0-book) 1.00(27.0-clock) 0.86(22.0-vase) 1.00(2.0-scissors) 0.94(17.0-teddy bear) 0.00(0.0-hair drier) 0.50(4.0-toothbrush)
2021-10-31 12:41:04,030 - mmdet - INFO - pseudo ig: 0.70(2968.0-person) 0.48(66.0-bicycle) 0.53(542.0-car) 0.54(124.0-motorcycle) 0.71(52.0-airplane) 0.70(73.0-bus) 0.76(41.0-train) 0.44(126.0-truck) 0.37(115.0-boat) 0.41(246.0-traffic light) 0.65(17.0-fire hydrant) 0.60(25.0-stop sign) 0.31(13.0-parking meter) 0.21(121.0-bench) 0.28(130.0-bird) 0.82(68.0-cat) 0.67(63.0-dog) 0.66(82.0-horse) 0.49(223.0-sheep) 0.71(95.0-cow) 0.74(90.0-elephant) 0.46(24.0-bear) 0.71(82.0-zebra) 0.90(58.0-giraffe) 0.31(112.0-backpack) 0.47(133.0-umbrella) 0.15(175.0-handbag) 0.46(56.0-tie) 0.45(87.0-suitcase) 0.54(24.0-frisbee) 0.35(78.0-skis) 0.41(34.0-snowboard) 0.45(107.0-sports ball) 0.52(156.0-kite) 0.33(27.0-baseball bat) 0.31(36.0-baseball glove) 0.40(73.0-skateboard) 0.40(105.0-surfboard) 0.45(85.0-tennis racket) 0.38(256.0-bottle) 0.45(106.0-wine glass) 0.29(302.0-cup) 0.26(103.0-fork) 0.15(128.0-knife) 0.15(106.0-spoon) 0.42(192.0-bowl) 0.39(88.0-banana) 0.34(35.0-apple) 0.30(66.0-sandwich) 0.18(145.0-orange) 0.51(119.0-broccoli) 0.25(95.0-carrot) 0.53(38.0-hot dog) 0.66(65.0-pizza) 0.50(126.0-donut) 0.36(75.0-cake) 0.32(496.0-chair) 0.45(78.0-couch) 0.29(128.0-potted plant) 0.74(43.0-bed) 0.34(185.0-dining table) 0.62(63.0-toilet) 0.60(83.0-tv) 0.66(71.0-laptop) 0.35(40.0-mouse) 0.34(79.0-remote) 0.57(40.0-keyboard) 0.31(99.0-cell phone) 0.45(11.0-microwave) 0.38(39.0-oven) 0.00(0.0-toaster) 0.39(80.0-sink) 0.50(26.0-refrigerator) 0.29(122.0-book) 0.53(86.0-clock) 0.31(98.0-vase) 0.36(11.0-scissors) 0.57(56.0-teddy bear) 0.00(0.0-hair drier) 0.21(14.0-toothbrush)
2021-10-31 12:41:04,030 - mmdet - INFO - pseudo gt: 4309.0 94.0 740.0 155.0 110.0 104.0 66.0 163.0 148.0 230.0 32.0 35.0 18.0 177.0 142.0 92.0 99.0 131.0 238.0 131.0 124.0 24.0 93.0 85.0 168.0 204.0 242.0 90.0 138.0 35.0 112.0 54.0 102.0 218.0 36.0 41.0 79.0 98.0 65.0 339.0 148.0 303.0 90.0 130.0 91.0 197.0 139.0 75.0 78.0 114.0 136.0 118.0 51.0 85.0 153.0 109.0 579.0 105.0 177.0 72.0 248.0 83.0 107.0 82.0 42.0 116.0 62.0 131.0 25.0 52.0 3.0 80.0 41.0 375.0 108.0 111.0 19.0 94.0 2.0 42.0
2021-10-31 12:41:04,030 - mmdet - INFO - pseudo mining: 751.0 2.0 60.0 8.0 9.0 11.0 10.0 4.0 2.0 29.0 3.0 9.0 0.0 0.0 4.0 10.0 7.0 11.0 38.0 24.0 34.0 0.0 30.0 32.0 0.0 3.0 0.0 7.0 0.0 5.0 0.0 0.0 32.0 52.0 0.0 1.0 4.0 4.0 8.0 15.0 8.0 12.0 0.0 0.0 0.0 8.0 1.0 0.0 0.0 3.0 12.0 10.0 0.0 5.0 21.0 0.0 1.0 0.0 3.0 0.0 0.0 15.0 23.0 8.0 5.0 1.0 7.0 4.0 0.0 0.0 0.0 3.0 1.0 1.0 33.0 3.0 0.0 6.0 0.0 0.0
2021-10-31 12:41:05,498 - mmdet - INFO - Iter [500/40000]	lr: 1.996e-02, eta: 20:00:43, time: 1.662, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0573, loss_cls: 0.2735, acc: 91.6093, loss_bbox: 0.2859, loss_rpn_cls_unlabeled: 0.1202, loss_rpn_bbox_unlabeled: 0.1047, loss_cls_unlabeled: 0.2166, acc_unlabeled: 91.6517, loss_bbox_unlabeled: 0.1666, losses_cls_ig_unlabeled: 0.2029, pseudo_num: 1.3610, pseudo_num_ig: 5.3975, pseudo_num_mining: 0.6860, pseudo_num(acc): 0.8838, pseudo_num ig(acc): 0.4899, loss: 1.4800
2021-10-31 12:42:29,109 - mmdet - INFO - Iter [550/40000]	lr: 2.000e-02, eta: 19:49:58, time: 1.670, data_time: 0.025, memory: 26254, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0580, loss_cls: 0.2888, acc: 91.1014, loss_bbox: 0.2934, loss_rpn_cls_unlabeled: 0.1111, loss_rpn_bbox_unlabeled: 0.1003, loss_cls_unlabeled: 0.2102, acc_unlabeled: 91.5177, loss_bbox_unlabeled: 0.1560, losses_cls_ig_unlabeled: 0.2104, pseudo_num: 1.3474, pseudo_num_ig: 5.3901, pseudo_num_mining: 0.6913, pseudo_num(acc): 0.8835, pseudo_num ig(acc): 0.4903, loss: 1.4785
2021-10-31 12:43:51,496 - mmdet - INFO - Iter [600/40000]	lr: 2.000e-02, eta: 19:39:27, time: 1.645, data_time: 0.028, memory: 26254, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0569, loss_cls: 0.2896, acc: 91.1042, loss_bbox: 0.2952, loss_rpn_cls_unlabeled: 0.1194, loss_rpn_bbox_unlabeled: 0.1033, loss_cls_unlabeled: 0.2149, acc_unlabeled: 91.2325, loss_bbox_unlabeled: 0.1651, losses_cls_ig_unlabeled: 0.2107, pseudo_num: 1.3365, pseudo_num_ig: 5.4007, pseudo_num_mining: 0.6956, pseudo_num(acc): 0.8838, pseudo_num ig(acc): 0.4907, loss: 1.5080
2021-10-31 12:45:16,442 - mmdet - INFO - Iter [650/40000]	lr: 2.000e-02, eta: 19:33:13, time: 1.702, data_time: 0.033, memory: 26254, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0564, loss_cls: 0.2881, acc: 91.2543, loss_bbox: 0.2886, loss_rpn_cls_unlabeled: 0.1194, loss_rpn_bbox_unlabeled: 0.1041, loss_cls_unlabeled: 0.2263, acc_unlabeled: 91.0587, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.2167, pseudo_num: 1.3327, pseudo_num_ig: 5.4138, pseudo_num_mining: 0.7012, pseudo_num(acc): 0.8848, pseudo_num ig(acc): 0.4905, loss: 1.5312
2021-10-31 12:46:39,939 - mmdet - INFO - Iter [700/40000]	lr: 2.000e-02, eta: 19:26:14, time: 1.671, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0572, loss_cls: 0.2856, acc: 91.1659, loss_bbox: 0.2903, loss_rpn_cls_unlabeled: 0.1105, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.2040, acc_unlabeled: 91.3926, loss_bbox_unlabeled: 0.1593, losses_cls_ig_unlabeled: 0.2116, pseudo_num: 1.3265, pseudo_num_ig: 5.4272, pseudo_num_mining: 0.7076, pseudo_num(acc): 0.8843, pseudo_num ig(acc): 0.4910, loss: 1.4693
2021-10-31 12:48:02,538 - mmdet - INFO - Iter [750/40000]	lr: 2.000e-02, eta: 19:19:04, time: 1.650, data_time: 0.028, memory: 26254, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0578, loss_cls: 0.2856, acc: 91.2385, loss_bbox: 0.2890, loss_rpn_cls_unlabeled: 0.1122, loss_rpn_bbox_unlabeled: 0.1016, loss_cls_unlabeled: 0.2040, acc_unlabeled: 91.1833, loss_bbox_unlabeled: 0.1658, losses_cls_ig_unlabeled: 0.2181, pseudo_num: 1.3206, pseudo_num_ig: 5.4430, pseudo_num_mining: 0.7149, pseudo_num(acc): 0.8836, pseudo_num ig(acc): 0.4913, loss: 1.4868
2021-10-31 12:49:26,252 - mmdet - INFO - Iter [800/40000]	lr: 2.000e-02, eta: 19:13:27, time: 1.671, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0569, loss_cls: 0.2738, acc: 91.4360, loss_bbox: 0.2856, loss_rpn_cls_unlabeled: 0.1112, loss_rpn_bbox_unlabeled: 0.0981, loss_cls_unlabeled: 0.1998, acc_unlabeled: 91.5970, loss_bbox_unlabeled: 0.1628, losses_cls_ig_unlabeled: 0.1993, pseudo_num: 1.3144, pseudo_num_ig: 5.4453, pseudo_num_mining: 0.7177, pseudo_num(acc): 0.8833, pseudo_num ig(acc): 0.4912, loss: 1.4367
2021-10-31 12:50:50,381 - mmdet - INFO - Iter [850/40000]	lr: 2.000e-02, eta: 19:08:51, time: 1.684, data_time: 0.033, memory: 26254, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0561, loss_cls: 0.2845, acc: 91.1598, loss_bbox: 0.2975, loss_rpn_cls_unlabeled: 0.1078, loss_rpn_bbox_unlabeled: 0.1014, loss_cls_unlabeled: 0.2152, acc_unlabeled: 91.2775, loss_bbox_unlabeled: 0.1715, losses_cls_ig_unlabeled: 0.2102, pseudo_num: 1.3109, pseudo_num_ig: 5.4493, pseudo_num_mining: 0.7191, pseudo_num(acc): 0.8833, pseudo_num ig(acc): 0.4909, loss: 1.4936
2021-10-31 12:52:13,210 - mmdet - INFO - Iter [900/40000]	lr: 2.000e-02, eta: 19:03:42, time: 1.659, data_time: 0.030, memory: 26254, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0542, loss_cls: 0.2828, acc: 91.2864, loss_bbox: 0.2929, loss_rpn_cls_unlabeled: 0.1082, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.2050, acc_unlabeled: 91.3783, loss_bbox_unlabeled: 0.1710, losses_cls_ig_unlabeled: 0.2036, pseudo_num: 1.3072, pseudo_num_ig: 5.4488, pseudo_num_mining: 0.7209, pseudo_num(acc): 0.8831, pseudo_num ig(acc): 0.4913, loss: 1.4646
2021-10-31 12:53:37,437 - mmdet - INFO - Iter [950/40000]	lr: 2.000e-02, eta: 18:59:44, time: 1.682, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0584, loss_cls: 0.2845, acc: 91.1097, loss_bbox: 0.2988, loss_rpn_cls_unlabeled: 0.1127, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.2058, acc_unlabeled: 91.4060, loss_bbox_unlabeled: 0.1670, losses_cls_ig_unlabeled: 0.2037, pseudo_num: 1.3024, pseudo_num_ig: 5.4492, pseudo_num_mining: 0.7249, pseudo_num(acc): 0.8825, pseudo_num ig(acc): 0.4914, loss: 1.4807
2021-10-31 12:54:58,401 - mmdet - INFO - pseudo pos: 0.99(1555.0-person) 0.93(42.0-bicycle) 0.94(321.0-car) 0.98(62.0-motorcycle) 0.97(37.0-airplane) 1.00(42.0-bus) 1.00(23.0-train) 0.82(50.0-truck) 0.73(49.0-boat) 0.91(102.0-traffic light) 0.96(23.0-fire hydrant) 1.00(16.0-stop sign) 1.00(5.0-parking meter) 0.67(57.0-bench) 0.92(50.0-bird) 0.96(25.0-cat) 1.00(29.0-dog) 0.95(39.0-horse) 0.91(58.0-sheep) 0.96(24.0-cow) 1.00(33.0-elephant) 1.00(14.0-bear) 1.00(18.0-zebra) 1.00(22.0-giraffe) 0.63(38.0-backpack) 0.88(78.0-umbrella) 0.52(105.0-handbag) 0.91(23.0-tie) 0.78(51.0-suitcase) 1.00(17.0-frisbee) 0.58(52.0-skis) 0.89(9.0-snowboard) 1.00(26.0-sports ball) 0.93(54.0-kite) 0.93(27.0-baseball bat) 0.95(19.0-baseball glove) 1.00(37.0-skateboard) 0.89(44.0-surfboard) 0.96(24.0-tennis racket) 0.85(143.0-bottle) 0.95(42.0-wine glass) 0.92(143.0-cup) 0.61(36.0-fork) 0.47(66.0-knife) 0.42(43.0-spoon) 0.92(75.0-bowl) 0.76(54.0-banana) 0.67(46.0-apple) 0.79(56.0-sandwich) 0.67(61.0-orange) 0.83(23.0-broccoli) 0.82(22.0-carrot) 0.87(16.0-hot dog) 0.94(53.0-pizza) 0.97(31.0-donut) 0.85(33.0-cake) 0.80(255.0-chair) 0.77(39.0-couch) 0.67(60.0-potted plant) 0.96(27.0-bed) 0.72(130.0-dining table) 0.95(20.0-toilet) 0.95(38.0-tv) 1.00(34.0-laptop) 1.00(14.0-mouse) 1.00(20.0-remote) 0.89(18.0-keyboard) 0.80(50.0-cell phone) 1.00(5.0-microwave) 0.75(24.0-oven) 0.00(0.0-toaster) 0.91(32.0-sink) 1.00(22.0-refrigerator) 0.54(81.0-book) 1.00(44.0-clock) 0.83(48.0-vase) 1.00(3.0-scissors) 0.96(24.0-teddy bear) 0.00(0.0-hair drier) 0.60(5.0-toothbrush)
2021-10-31 12:54:58,401 - mmdet - INFO - pseudo ig: 0.71(6096.0-person) 0.45(134.0-bicycle) 0.49(1121.0-car) 0.58(211.0-motorcycle) 0.71(104.0-airplane) 0.67(163.0-bus) 0.68(103.0-train) 0.43(222.0-truck) 0.42(242.0-boat) 0.36(518.0-traffic light) 0.65(48.0-fire hydrant) 0.52(48.0-stop sign) 0.32(28.0-parking meter) 0.21(214.0-bench) 0.37(270.0-bird) 0.81(141.0-cat) 0.67(123.0-dog) 0.65(150.0-horse) 0.54(382.0-sheep) 0.66(222.0-cow) 0.75(175.0-elephant) 0.52(46.0-bear) 0.76(150.0-zebra) 0.90(131.0-giraffe) 0.31(212.0-backpack) 0.42(261.0-umbrella) 0.17(350.0-handbag) 0.47(137.0-tie) 0.39(172.0-suitcase) 0.56(59.0-frisbee) 0.33(186.0-skis) 0.46(50.0-snowboard) 0.34(263.0-sports ball) 0.46(279.0-kite) 0.28(87.0-baseball bat) 0.29(117.0-baseball glove) 0.39(140.0-skateboard) 0.33(212.0-surfboard) 0.49(166.0-tennis racket) 0.42(640.0-bottle) 0.46(208.0-wine glass) 0.31(679.0-cup) 0.22(181.0-fork) 0.14(221.0-knife) 0.18(205.0-spoon) 0.41(421.0-bowl) 0.37(231.0-banana) 0.25(150.0-apple) 0.23(150.0-sandwich) 0.23(298.0-orange) 0.49(232.0-broccoli) 0.30(162.0-carrot) 0.44(89.0-hot dog) 0.60(144.0-pizza) 0.49(213.0-donut) 0.41(142.0-cake) 0.33(983.0-chair) 0.39(144.0-couch) 0.31(247.0-potted plant) 0.74(62.0-bed) 0.35(330.0-dining table) 0.62(124.0-toilet) 0.62(178.0-tv) 0.58(146.0-laptop) 0.27(108.0-mouse) 0.33(125.0-remote) 0.52(88.0-keyboard) 0.26(222.0-cell phone) 0.61(31.0-microwave) 0.37(100.0-oven) 0.00(0.0-toaster) 0.40(169.0-sink) 0.51(53.0-refrigerator) 0.27(211.0-book) 0.55(207.0-clock) 0.32(191.0-vase) 0.35(17.0-scissors) 0.53(88.0-teddy bear) 0.00(0.0-hair drier) 0.21(19.0-toothbrush)
2021-10-31 12:54:58,402 - mmdet - INFO - pseudo gt: 8806.0 206.0 1457.0 308.0 192.0 227.0 151.0 307.0 364.0 461.0 68.0 57.0 41.0 358.0 324.0 185.0 189.0 248.0 393.0 299.0 220.0 43.0 172.0 171.0 312.0 439.0 466.0 229.0 277.0 77.0 241.0 82.0 186.0 357.0 82.0 98.0 155.0 196.0 146.0 839.0 297.0 625.0 160.0 257.0 163.0 408.0 300.0 203.0 130.0 240.0 272.0 214.0 100.0 192.0 263.0 195.0 1295.0 180.0 297.0 155.0 517.0 139.0 217.0 186.0 76.0 176.0 122.0 246.0 54.0 113.0 10.0 171.0 94.0 730.0 223.0 208.0 36.0 137.0 5.0 74.0
2021-10-31 12:54:58,402 - mmdet - INFO - pseudo mining: 1643.0 8.0 108.0 12.0 18.0 25.0 16.0 5.0 2.0 42.0 12.0 18.0 0.0 0.0 17.0 23.0 18.0 23.0 99.0 56.0 59.0 0.0 72.0 84.0 1.0 11.0 0.0 14.0 0.0 12.0 0.0 0.0 66.0 75.0 4.0 9.0 8.0 4.0 21.0 33.0 16.0 24.0 0.0 0.0 0.0 19.0 4.0 0.0 0.0 6.0 17.0 13.0 0.0 11.0 28.0 0.0 5.0 0.0 6.0 0.0 1.0 42.0 45.0 20.0 10.0 3.0 13.0 7.0 4.0 0.0 0.0 9.0 3.0 1.0 96.0 8.0 0.0 9.0 0.0 0.0
2021-10-31 12:56:30,749 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 12:56:30,749 - mmdet - INFO - Iter [1000/40000]	lr: 2.000e-02, eta: 18:55:06, time: 1.653, data_time: 0.031, memory: 26254, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0570, loss_cls: 0.2886, acc: 91.1576, loss_bbox: 0.2968, loss_rpn_cls_unlabeled: 0.1066, loss_rpn_bbox_unlabeled: 0.0995, loss_cls_unlabeled: 0.2114, acc_unlabeled: 91.1454, loss_bbox_unlabeled: 0.1729, losses_cls_ig_unlabeled: 0.2136, pseudo_num: 1.2997, pseudo_num_ig: 5.4554, pseudo_num_mining: 0.7271, pseudo_num(acc): 0.8826, pseudo_num ig(acc): 0.4911, loss: 1.4981
2021-10-31 12:57:54,729 - mmdet - INFO - Iter [1050/40000]	lr: 2.000e-02, eta: 19:47:43, time: 3.496, data_time: 1.843, memory: 26254, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0565, loss_cls: 0.2919, acc: 90.9067, loss_bbox: 0.2988, loss_rpn_cls_unlabeled: 0.1099, loss_rpn_bbox_unlabeled: 0.1038, loss_cls_unlabeled: 0.2163, acc_unlabeled: 91.2141, loss_bbox_unlabeled: 0.1758, losses_cls_ig_unlabeled: 0.1946, pseudo_num: 1.3036, pseudo_num_ig: 5.4580, pseudo_num_mining: 0.7255, pseudo_num(acc): 0.8825, pseudo_num ig(acc): 0.4912, loss: 1.4979
2021-10-31 12:59:20,130 - mmdet - INFO - Iter [1100/40000]	lr: 2.000e-02, eta: 19:42:22, time: 1.700, data_time: 0.028, memory: 26254, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0541, loss_cls: 0.2778, acc: 91.4005, loss_bbox: 0.2872, loss_rpn_cls_unlabeled: 0.1108, loss_rpn_bbox_unlabeled: 0.1065, loss_cls_unlabeled: 0.2146, acc_unlabeled: 91.1267, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1942, pseudo_num: 1.3139, pseudo_num_ig: 5.4601, pseudo_num_mining: 0.7202, pseudo_num(acc): 0.8816, pseudo_num ig(acc): 0.4903, loss: 1.4757
2021-10-31 13:00:42,759 - mmdet - INFO - Iter [1150/40000]	lr: 2.000e-02, eta: 19:36:18, time: 1.662, data_time: 0.036, memory: 26254, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0569, loss_cls: 0.2907, acc: 91.1038, loss_bbox: 0.2981, loss_rpn_cls_unlabeled: 0.1059, loss_rpn_bbox_unlabeled: 0.1030, loss_cls_unlabeled: 0.2154, acc_unlabeled: 91.0747, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1916, pseudo_num: 1.3234, pseudo_num_ig: 5.4604, pseudo_num_mining: 0.7160, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4896, loss: 1.4949
2021-10-31 13:02:06,565 - mmdet - INFO - Iter [1200/40000]	lr: 2.000e-02, eta: 19:31:00, time: 1.676, data_time: 0.026, memory: 26254, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0569, loss_cls: 0.2822, acc: 91.1257, loss_bbox: 0.3000, loss_rpn_cls_unlabeled: 0.1086, loss_rpn_bbox_unlabeled: 0.1018, loss_cls_unlabeled: 0.2151, acc_unlabeled: 91.3778, loss_bbox_unlabeled: 0.1842, losses_cls_ig_unlabeled: 0.1874, pseudo_num: 1.3306, pseudo_num_ig: 5.4587, pseudo_num_mining: 0.7130, pseudo_num(acc): 0.8793, pseudo_num ig(acc): 0.4888, loss: 1.4849
2021-10-31 13:03:30,243 - mmdet - INFO - Iter [1250/40000]	lr: 2.000e-02, eta: 19:25:52, time: 1.670, data_time: 0.026, memory: 26254, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0591, loss_cls: 0.2838, acc: 91.1134, loss_bbox: 0.3019, loss_rpn_cls_unlabeled: 0.1083, loss_rpn_bbox_unlabeled: 0.1049, loss_cls_unlabeled: 0.2155, acc_unlabeled: 91.2129, loss_bbox_unlabeled: 0.1842, losses_cls_ig_unlabeled: 0.1905, pseudo_num: 1.3402, pseudo_num_ig: 5.4555, pseudo_num_mining: 0.7095, pseudo_num(acc): 0.8785, pseudo_num ig(acc): 0.4875, loss: 1.5021
2021-10-31 13:04:54,950 - mmdet - INFO - Iter [1300/40000]	lr: 2.000e-02, eta: 19:21:37, time: 1.695, data_time: 0.030, memory: 26254, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0564, loss_cls: 0.2759, acc: 91.4534, loss_bbox: 0.2926, loss_rpn_cls_unlabeled: 0.1100, loss_rpn_bbox_unlabeled: 0.1056, loss_cls_unlabeled: 0.2152, acc_unlabeled: 91.1498, loss_bbox_unlabeled: 0.1813, losses_cls_ig_unlabeled: 0.1941, pseudo_num: 1.3484, pseudo_num_ig: 5.4569, pseudo_num_mining: 0.7061, pseudo_num(acc): 0.8775, pseudo_num ig(acc): 0.4867, loss: 1.4769
2021-10-31 13:06:19,127 - mmdet - INFO - Iter [1350/40000]	lr: 2.000e-02, eta: 19:17:20, time: 1.684, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0548, loss_cls: 0.2826, acc: 91.2113, loss_bbox: 0.2942, loss_rpn_cls_unlabeled: 0.1100, loss_rpn_bbox_unlabeled: 0.1085, loss_cls_unlabeled: 0.2147, acc_unlabeled: 91.0242, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1944, pseudo_num: 1.3576, pseudo_num_ig: 5.4691, pseudo_num_mining: 0.7039, pseudo_num(acc): 0.8766, pseudo_num ig(acc): 0.4858, loss: 1.4905
2021-10-31 13:07:40,923 - mmdet - INFO - Iter [1400/40000]	lr: 2.000e-02, eta: 19:12:10, time: 1.637, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0552, loss_cls: 0.2766, acc: 91.3989, loss_bbox: 0.2890, loss_rpn_cls_unlabeled: 0.1075, loss_rpn_bbox_unlabeled: 0.1092, loss_cls_unlabeled: 0.2172, acc_unlabeled: 91.0957, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1950, pseudo_num: 1.3674, pseudo_num_ig: 5.4744, pseudo_num_mining: 0.7003, pseudo_num(acc): 0.8758, pseudo_num ig(acc): 0.4851, loss: 1.4806
2021-10-31 13:09:03,902 - mmdet - INFO - Iter [1450/40000]	lr: 2.000e-02, eta: 19:07:44, time: 1.658, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0544, loss_cls: 0.2757, acc: 91.4329, loss_bbox: 0.2883, loss_rpn_cls_unlabeled: 0.1025, loss_rpn_bbox_unlabeled: 0.1026, loss_cls_unlabeled: 0.2128, acc_unlabeled: 91.1366, loss_bbox_unlabeled: 0.1857, losses_cls_ig_unlabeled: 0.1857, pseudo_num: 1.3754, pseudo_num_ig: 5.4701, pseudo_num_mining: 0.6956, pseudo_num(acc): 0.8744, pseudo_num ig(acc): 0.4846, loss: 1.4565
2021-10-31 13:10:26,136 - mmdet - INFO - pseudo pos: 0.99(2579.0-person) 0.89(65.0-bicycle) 0.94(487.0-car) 0.98(94.0-motorcycle) 0.98(44.0-airplane) 1.00(63.0-bus) 0.98(46.0-train) 0.80(81.0-truck) 0.75(71.0-boat) 0.89(142.0-traffic light) 0.96(25.0-fire hydrant) 1.00(23.0-stop sign) 1.00(11.0-parking meter) 0.67(92.0-bench) 0.95(83.0-bird) 0.97(39.0-cat) 1.00(47.0-dog) 0.97(64.0-horse) 0.92(73.0-sheep) 0.95(41.0-cow) 1.00(51.0-elephant) 1.00(24.0-bear) 1.00(27.0-zebra) 1.00(35.0-giraffe) 0.57(74.0-backpack) 0.86(119.0-umbrella) 0.49(144.0-handbag) 0.95(44.0-tie) 0.80(75.0-suitcase) 1.00(20.0-frisbee) 0.57(77.0-skis) 0.81(21.0-snowboard) 0.98(51.0-sports ball) 0.92(88.0-kite) 0.94(36.0-baseball bat) 0.89(38.0-baseball glove) 0.99(69.0-skateboard) 0.85(65.0-surfboard) 0.97(37.0-tennis racket) 0.87(246.0-bottle) 0.95(65.0-wine glass) 0.91(230.0-cup) 0.59(64.0-fork) 0.46(91.0-knife) 0.41(64.0-spoon) 0.87(131.0-bowl) 0.73(93.0-banana) 0.65(60.0-apple) 0.76(66.0-sandwich) 0.70(87.0-orange) 0.76(55.0-broccoli) 0.64(44.0-carrot) 0.83(24.0-hot dog) 0.96(70.0-pizza) 0.95(57.0-donut) 0.87(46.0-cake) 0.78(391.0-chair) 0.73(56.0-couch) 0.67(112.0-potted plant) 0.95(42.0-bed) 0.72(201.0-dining table) 0.90(31.0-toilet) 0.93(57.0-tv) 1.00(46.0-laptop) 1.00(21.0-mouse) 0.97(35.0-remote) 0.92(24.0-keyboard) 0.84(75.0-cell phone) 1.00(11.0-microwave) 0.80(41.0-oven) 0.00(0.0-toaster) 0.86(43.0-sink) 0.97(39.0-refrigerator) 0.45(173.0-book) 1.00(60.0-clock) 0.81(80.0-vase) 0.67(9.0-scissors) 0.97(33.0-teddy bear) 0.00(0.0-hair drier) 0.56(9.0-toothbrush)
2021-10-31 13:10:26,137 - mmdet - INFO - pseudo ig: 0.68(9571.0-person) 0.44(222.0-bicycle) 0.49(1781.0-car) 0.57(344.0-motorcycle) 0.72(159.0-airplane) 0.66(235.0-bus) 0.70(159.0-train) 0.40(342.0-truck) 0.37(350.0-boat) 0.35(724.0-traffic light) 0.68(68.0-fire hydrant) 0.56(86.0-stop sign) 0.31(49.0-parking meter) 0.23(324.0-bench) 0.36(374.0-bird) 0.80(204.0-cat) 0.64(169.0-dog) 0.65(244.0-horse) 0.55(456.0-sheep) 0.59(324.0-cow) 0.74(240.0-elephant) 0.47(59.0-bear) 0.76(221.0-zebra) 0.91(206.0-giraffe) 0.28(339.0-backpack) 0.44(365.0-umbrella) 0.18(505.0-handbag) 0.40(189.0-tie) 0.40(267.0-suitcase) 0.60(93.0-frisbee) 0.35(259.0-skis) 0.42(78.0-snowboard) 0.35(345.0-sports ball) 0.47(385.0-kite) 0.31(147.0-baseball bat) 0.33(163.0-baseball glove) 0.42(196.0-skateboard) 0.37(300.0-surfboard) 0.56(208.0-tennis racket) 0.39(998.0-bottle) 0.48(294.0-wine glass) 0.34(1026.0-cup) 0.23(248.0-fork) 0.18(320.0-knife) 0.16(294.0-spoon) 0.38(632.0-bowl) 0.31(386.0-banana) 0.23(212.0-apple) 0.29(205.0-sandwich) 0.24(431.0-orange) 0.46(315.0-broccoli) 0.24(272.0-carrot) 0.39(112.0-hot dog) 0.61(213.0-pizza) 0.49(293.0-donut) 0.39(211.0-cake) 0.33(1451.0-chair) 0.40(215.0-couch) 0.30(349.0-potted plant) 0.61(109.0-bed) 0.36(542.0-dining table) 0.67(149.0-toilet) 0.62(244.0-tv) 0.61(209.0-laptop) 0.27(138.0-mouse) 0.34(194.0-remote) 0.51(126.0-keyboard) 0.26(308.0-cell phone) 0.55(53.0-microwave) 0.39(165.0-oven) 0.00(0.0-toaster) 0.41(242.0-sink) 0.45(84.0-refrigerator) 0.22(510.0-book) 0.56(261.0-clock) 0.36(327.0-vase) 0.24(33.0-scissors) 0.47(172.0-teddy bear) 0.00(0.0-hair drier) 0.14(36.0-toothbrush)
2021-10-31 13:10:26,137 - mmdet - INFO - pseudo gt: 13427.0 327.0 2253.0 485.0 262.0 358.0 244.0 469.0 477.0 717.0 95.0 100.0 53.0 541.0 436.0 277.0 265.0 361.0 481.0 428.0 298.0 60.0 250.0 263.0 454.0 618.0 682.0 306.0 435.0 117.0 354.0 129.0 287.0 496.0 139.0 190.0 267.0 295.0 216.0 1299.0 426.0 995.0 254.0 404.0 273.0 631.0 445.0 298.0 192.0 369.0 389.0 352.0 139.0 275.0 414.0 287.0 1875.0 280.0 458.0 214.0 787.0 193.0 319.0 279.0 114.0 286.0 163.0 346.0 85.0 186.0 13.0 264.0 145.0 1223.0 304.0 335.0 48.0 195.0 6.0 104.0
2021-10-31 13:10:26,137 - mmdet - INFO - pseudo mining: 2282.0 9.0 174.0 18.0 22.0 41.0 20.0 7.0 5.0 70.0 21.0 42.0 0.0 0.0 18.0 30.0 23.0 28.0 105.0 59.0 81.0 0.0 107.0 128.0 1.0 16.0 0.0 14.0 1.0 26.0 1.0 0.0 99.0 99.0 7.0 23.0 12.0 9.0 38.0 58.0 19.0 43.0 0.0 0.0 0.0 27.0 5.0 0.0 1.0 6.0 18.0 13.0 0.0 22.0 29.0 0.0 8.0 0.0 9.0 0.0 1.0 56.0 58.0 31.0 18.0 5.0 15.0 9.0 5.0 0.0 0.0 15.0 3.0 1.0 134.0 24.0 0.0 11.0 0.0 0.0
2021-10-31 13:10:27,657 - mmdet - INFO - Iter [1500/40000]	lr: 2.000e-02, eta: 19:03:51, time: 1.674, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0581, loss_cls: 0.2888, acc: 91.0444, loss_bbox: 0.2990, loss_rpn_cls_unlabeled: 0.1056, loss_rpn_bbox_unlabeled: 0.1003, loss_cls_unlabeled: 0.2283, acc_unlabeled: 91.0502, loss_bbox_unlabeled: 0.1924, losses_cls_ig_unlabeled: 0.1918, pseudo_num: 1.3839, pseudo_num_ig: 5.4703, pseudo_num_mining: 0.6928, pseudo_num(acc): 0.8731, pseudo_num ig(acc): 0.4839, loss: 1.5159
2021-10-31 13:11:52,017 - mmdet - INFO - Iter [1550/40000]	lr: 2.000e-02, eta: 19:00:26, time: 1.689, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0544, loss_cls: 0.2756, acc: 91.3699, loss_bbox: 0.2909, loss_rpn_cls_unlabeled: 0.0985, loss_rpn_bbox_unlabeled: 0.1003, loss_cls_unlabeled: 0.2153, acc_unlabeled: 91.1617, loss_bbox_unlabeled: 0.1886, losses_cls_ig_unlabeled: 0.1859, pseudo_num: 1.3932, pseudo_num_ig: 5.4705, pseudo_num_mining: 0.6903, pseudo_num(acc): 0.8724, pseudo_num ig(acc): 0.4829, loss: 1.4566
2021-10-31 13:13:17,433 - mmdet - INFO - Iter [1600/40000]	lr: 2.000e-02, eta: 18:57:25, time: 1.703, data_time: 0.030, memory: 26254, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0550, loss_cls: 0.2874, acc: 91.0820, loss_bbox: 0.2996, loss_rpn_cls_unlabeled: 0.1092, loss_rpn_bbox_unlabeled: 0.1098, loss_cls_unlabeled: 0.2246, acc_unlabeled: 91.1279, loss_bbox_unlabeled: 0.1923, losses_cls_ig_unlabeled: 0.1875, pseudo_num: 1.4019, pseudo_num_ig: 5.4727, pseudo_num_mining: 0.6869, pseudo_num(acc): 0.8712, pseudo_num ig(acc): 0.4819, loss: 1.5139
2021-10-31 13:14:41,148 - mmdet - INFO - Iter [1650/40000]	lr: 2.000e-02, eta: 18:54:02, time: 1.679, data_time: 0.033, memory: 26254, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0564, loss_cls: 0.2813, acc: 91.1338, loss_bbox: 0.2946, loss_rpn_cls_unlabeled: 0.1086, loss_rpn_bbox_unlabeled: 0.1025, loss_cls_unlabeled: 0.2239, acc_unlabeled: 91.1554, loss_bbox_unlabeled: 0.1918, losses_cls_ig_unlabeled: 0.1888, pseudo_num: 1.4105, pseudo_num_ig: 5.4722, pseudo_num_mining: 0.6841, pseudo_num(acc): 0.8700, pseudo_num ig(acc): 0.4811, loss: 1.4987
2021-10-31 13:16:05,717 - mmdet - INFO - Iter [1700/40000]	lr: 2.000e-02, eta: 18:50:59, time: 1.691, data_time: 0.026, memory: 26254, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0567, loss_cls: 0.2856, acc: 91.1375, loss_bbox: 0.2932, loss_rpn_cls_unlabeled: 0.1086, loss_rpn_bbox_unlabeled: 0.1033, loss_cls_unlabeled: 0.2239, acc_unlabeled: 91.0032, loss_bbox_unlabeled: 0.1913, losses_cls_ig_unlabeled: 0.1874, pseudo_num: 1.4183, pseudo_num_ig: 5.4741, pseudo_num_mining: 0.6822, pseudo_num(acc): 0.8686, pseudo_num ig(acc): 0.4805, loss: 1.4996
2021-10-31 13:17:29,922 - mmdet - INFO - Iter [1750/40000]	lr: 2.000e-02, eta: 18:47:55, time: 1.684, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0577, loss_cls: 0.2850, acc: 91.1008, loss_bbox: 0.2960, loss_rpn_cls_unlabeled: 0.1116, loss_rpn_bbox_unlabeled: 0.1075, loss_cls_unlabeled: 0.2224, acc_unlabeled: 90.9277, loss_bbox_unlabeled: 0.1957, losses_cls_ig_unlabeled: 0.1877, pseudo_num: 1.4276, pseudo_num_ig: 5.4782, pseudo_num_mining: 0.6808, pseudo_num(acc): 0.8676, pseudo_num ig(acc): 0.4797, loss: 1.5149
2021-10-31 13:18:54,253 - mmdet - INFO - Iter [1800/40000]	lr: 2.000e-02, eta: 18:44:56, time: 1.684, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0546, loss_cls: 0.2712, acc: 91.4182, loss_bbox: 0.2862, loss_rpn_cls_unlabeled: 0.1072, loss_rpn_bbox_unlabeled: 0.1018, loss_cls_unlabeled: 0.2138, acc_unlabeled: 91.4125, loss_bbox_unlabeled: 0.1871, losses_cls_ig_unlabeled: 0.1872, pseudo_num: 1.4353, pseudo_num_ig: 5.4807, pseudo_num_mining: 0.6793, pseudo_num(acc): 0.8665, pseudo_num ig(acc): 0.4789, loss: 1.4560
2021-10-31 13:20:19,380 - mmdet - INFO - Iter [1850/40000]	lr: 2.000e-02, eta: 18:42:22, time: 1.704, data_time: 0.030, memory: 26254, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0575, loss_cls: 0.2881, acc: 91.0453, loss_bbox: 0.3006, loss_rpn_cls_unlabeled: 0.1060, loss_rpn_bbox_unlabeled: 0.1029, loss_cls_unlabeled: 0.2228, acc_unlabeled: 91.1262, loss_bbox_unlabeled: 0.1905, losses_cls_ig_unlabeled: 0.1922, pseudo_num: 1.4416, pseudo_num_ig: 5.4810, pseudo_num_mining: 0.6773, pseudo_num(acc): 0.8655, pseudo_num ig(acc): 0.4782, loss: 1.5077
2021-10-31 13:21:45,611 - mmdet - INFO - Iter [1900/40000]	lr: 2.000e-02, eta: 18:40:16, time: 1.728, data_time: 0.030, memory: 26254, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0542, loss_cls: 0.2725, acc: 91.5739, loss_bbox: 0.2827, loss_rpn_cls_unlabeled: 0.1106, loss_rpn_bbox_unlabeled: 0.1087, loss_cls_unlabeled: 0.2227, acc_unlabeled: 91.0537, loss_bbox_unlabeled: 0.1955, losses_cls_ig_unlabeled: 0.1874, pseudo_num: 1.4483, pseudo_num_ig: 5.4834, pseudo_num_mining: 0.6759, pseudo_num(acc): 0.8646, pseudo_num ig(acc): 0.4778, loss: 1.4831
2021-10-31 13:23:10,814 - mmdet - INFO - Iter [1950/40000]	lr: 2.000e-02, eta: 18:37:49, time: 1.703, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0525, loss_cls: 0.2806, acc: 91.2649, loss_bbox: 0.2915, loss_rpn_cls_unlabeled: 0.1071, loss_rpn_bbox_unlabeled: 0.1062, loss_cls_unlabeled: 0.2189, acc_unlabeled: 91.2095, loss_bbox_unlabeled: 0.1924, losses_cls_ig_unlabeled: 0.1879, pseudo_num: 1.4548, pseudo_num_ig: 5.4829, pseudo_num_mining: 0.6737, pseudo_num(acc): 0.8634, pseudo_num ig(acc): 0.4772, loss: 1.4852
2021-10-31 13:24:34,923 - mmdet - INFO - pseudo pos: 0.99(3556.0-person) 0.90(96.0-bicycle) 0.94(676.0-car) 0.98(129.0-motorcycle) 0.98(54.0-airplane) 1.00(81.0-bus) 0.98(65.0-train) 0.74(124.0-truck) 0.74(90.0-boat) 0.90(207.0-traffic light) 0.97(37.0-fire hydrant) 1.00(27.0-stop sign) 1.00(14.0-parking meter) 0.64(121.0-bench) 0.95(129.0-bird) 0.98(52.0-cat) 1.00(68.0-dog) 0.98(89.0-horse) 0.89(119.0-sheep) 0.96(75.0-cow) 1.00(86.0-elephant) 1.00(36.0-bear) 0.98(42.0-zebra) 1.00(50.0-giraffe) 0.46(153.0-backpack) 0.85(155.0-umbrella) 0.49(184.0-handbag) 0.96(71.0-tie) 0.76(99.0-suitcase) 1.00(23.0-frisbee) 0.58(93.0-skis) 0.71(34.0-snowboard) 0.99(72.0-sports ball) 0.91(114.0-kite) 0.93(46.0-baseball bat) 0.90(48.0-baseball glove) 0.98(94.0-skateboard) 0.84(87.0-surfboard) 0.98(43.0-tennis racket) 0.87(328.0-bottle) 0.93(88.0-wine glass) 0.90(317.0-cup) 0.66(86.0-fork) 0.46(151.0-knife) 0.45(94.0-spoon) 0.86(206.0-bowl) 0.70(136.0-banana) 0.67(67.0-apple) 0.75(71.0-sandwich) 0.69(121.0-orange) 0.74(99.0-broccoli) 0.45(126.0-carrot) 0.79(33.0-hot dog) 0.96(94.0-pizza) 0.93(73.0-donut) 0.83(70.0-cake) 0.77(557.0-chair) 0.76(91.0-couch) 0.68(148.0-potted plant) 0.93(60.0-bed) 0.71(290.0-dining table) 0.91(43.0-toilet) 0.95(76.0-tv) 1.00(66.0-laptop) 0.97(37.0-mouse) 0.91(47.0-remote) 0.95(38.0-keyboard) 0.86(103.0-cell phone) 1.00(15.0-microwave) 0.85(55.0-oven) 0.00(0.0-toaster) 0.84(63.0-sink) 0.96(53.0-refrigerator) 0.36(321.0-book) 0.98(93.0-clock) 0.83(98.0-vase) 0.73(15.0-scissors) 0.98(50.0-teddy bear) 0.00(0.0-hair drier) 0.60(10.0-toothbrush)
2021-10-31 13:24:34,924 - mmdet - INFO - pseudo ig: 0.67(12755.0-person) 0.45(287.0-bicycle) 0.49(2339.0-car) 0.55(464.0-motorcycle) 0.75(205.0-airplane) 0.65(309.0-bus) 0.72(195.0-train) 0.37(480.0-truck) 0.38(460.0-boat) 0.35(922.0-traffic light) 0.71(86.0-fire hydrant) 0.58(123.0-stop sign) 0.26(65.0-parking meter) 0.21(428.0-bench) 0.35(497.0-bird) 0.78(265.0-cat) 0.68(215.0-dog) 0.62(351.0-horse) 0.51(633.0-sheep) 0.56(465.0-cow) 0.75(309.0-elephant) 0.51(86.0-bear) 0.78(314.0-zebra) 0.90(271.0-giraffe) 0.24(510.0-backpack) 0.42(531.0-umbrella) 0.18(655.0-handbag) 0.37(279.0-tie) 0.38(333.0-suitcase) 0.64(129.0-frisbee) 0.37(319.0-skis) 0.38(124.0-snowboard) 0.38(433.0-sports ball) 0.50(529.0-kite) 0.31(206.0-baseball bat) 0.34(200.0-baseball glove) 0.47(257.0-skateboard) 0.39(361.0-surfboard) 0.59(267.0-tennis racket) 0.40(1306.0-bottle) 0.50(366.0-wine glass) 0.33(1359.0-cup) 0.24(313.0-fork) 0.19(485.0-knife) 0.15(408.0-spoon) 0.38(875.0-bowl) 0.31(573.0-banana) 0.20(281.0-apple) 0.29(237.0-sandwich) 0.24(564.0-orange) 0.43(431.0-broccoli) 0.20(492.0-carrot) 0.37(150.0-hot dog) 0.59(279.0-pizza) 0.49(363.0-donut) 0.37(273.0-cake) 0.30(1951.0-chair) 0.39(307.0-couch) 0.31(501.0-potted plant) 0.53(169.0-bed) 0.35(720.0-dining table) 0.68(199.0-toilet) 0.63(325.0-tv) 0.61(282.0-laptop) 0.27(175.0-mouse) 0.34(245.0-remote) 0.50(160.0-keyboard) 0.26(397.0-cell phone) 0.56(72.0-microwave) 0.36(214.0-oven) 0.00(0.0-toaster) 0.43(306.0-sink) 0.44(130.0-refrigerator) 0.20(836.0-book) 0.54(331.0-clock) 0.35(420.0-vase) 0.20(51.0-scissors) 0.49(212.0-teddy bear) 0.00(0.0-hair drier) 0.15(61.0-toothbrush)
2021-10-31 13:24:34,924 - mmdet - INFO - pseudo gt: 17789.0 445.0 3032.0 616.0 344.0 464.0 313.0 603.0 632.0 943.0 135.0 146.0 68.0 663.0 576.0 347.0 360.0 475.0 669.0 565.0 401.0 90.0 367.0 343.0 593.0 785.0 870.0 425.0 543.0 167.0 459.0 178.0 414.0 689.0 188.0 239.0 366.0 386.0 314.0 1713.0 548.0 1336.0 339.0 572.0 382.0 934.0 588.0 381.0 235.0 500.0 518.0 533.0 172.0 358.0 554.0 372.0 2511.0 394.0 627.0 288.0 1029.0 261.0 430.0 362.0 165.0 374.0 219.0 460.0 110.0 242.0 14.0 345.0 204.0 1677.0 404.0 418.0 70.0 252.0 10.0 138.0
2021-10-31 13:24:34,924 - mmdet - INFO - pseudo mining: 2921.0 11.0 241.0 21.0 26.0 53.0 26.0 7.0 10.0 90.0 28.0 62.0 0.0 0.0 22.0 37.0 28.0 42.0 141.0 62.0 96.0 3.0 149.0 160.0 1.0 29.0 0.0 15.0 1.0 35.0 1.0 0.0 140.0 139.0 9.0 31.0 24.0 11.0 55.0 85.0 22.0 50.0 0.0 0.0 0.0 34.0 6.0 0.0 1.0 7.0 18.0 13.0 0.0 33.0 29.0 0.0 8.0 0.0 11.0 0.0 4.0 72.0 79.0 44.0 28.0 6.0 17.0 13.0 7.0 1.0 0.0 23.0 4.0 1.0 178.0 27.0 0.0 12.0 0.0 0.0
2021-10-31 13:25:33,540 - mmdet - INFO - Evaluating bbox...
2021-10-31 13:26:43,382 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.411 | bicycle      | 0.177 | car            | 0.325 |
| motorcycle    | 0.226 | airplane     | 0.447 | bus            | 0.473 |
| train         | 0.395 | truck        | 0.173 | boat           | 0.136 |
| traffic light | 0.194 | fire hydrant | 0.476 | stop sign      | 0.490 |
| parking meter | 0.329 | bench        | 0.123 | bird           | 0.209 |
| cat           | 0.432 | dog          | 0.353 | horse          | 0.373 |
| sheep         | 0.280 | cow          | 0.355 | elephant       | 0.390 |
| bear          | 0.383 | zebra        | 0.462 | giraffe        | 0.447 |
| backpack      | 0.073 | umbrella     | 0.204 | handbag        | 0.048 |
| tie           | 0.179 | suitcase     | 0.111 | frisbee        | 0.461 |
| skis          | 0.096 | snowboard    | 0.141 | sports ball    | 0.340 |
| kite          | 0.269 | baseball bat | 0.140 | baseball glove | 0.238 |
| skateboard    | 0.271 | surfboard    | 0.139 | tennis racket  | 0.280 |
| bottle        | 0.254 | wine glass   | 0.204 | cup            | 0.271 |
| fork          | 0.083 | knife        | 0.031 | spoon          | 0.045 |
| bowl          | 0.288 | banana       | 0.112 | apple          | 0.076 |
| sandwich      | 0.173 | orange       | 0.223 | broccoli       | 0.139 |
| carrot        | 0.078 | hot dog      | 0.097 | pizza          | 0.355 |
| donut         | 0.228 | cake         | 0.170 | chair          | 0.120 |
| couch         | 0.219 | potted plant | 0.139 | bed            | 0.225 |
| dining table  | 0.155 | toilet       | 0.376 | tv             | 0.396 |
| laptop        | 0.365 | mouse        | 0.398 | remote         | 0.093 |
| keyboard      | 0.281 | cell phone   | 0.200 | microwave      | 0.312 |
| oven          | 0.198 | toaster      | 0.107 | sink           | 0.204 |
| refrigerator  | 0.303 | book         | 0.046 | clock          | 0.386 |
| vase          | 0.239 | scissors     | 0.089 | teddy bear     | 0.252 |
| hair drier    | 0.000 | toothbrush   | 0.045 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 13:27:41,109 - mmdet - INFO - Evaluating bbox...
2021-10-31 13:28:53,084 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.435 | bicycle      | 0.193 | car            | 0.344 |
| motorcycle    | 0.283 | airplane     | 0.451 | bus            | 0.484 |
| train         | 0.410 | truck        | 0.194 | boat           | 0.158 |
| traffic light | 0.221 | fire hydrant | 0.518 | stop sign      | 0.529 |
| parking meter | 0.393 | bench        | 0.141 | bird           | 0.232 |
| cat           | 0.461 | dog          | 0.425 | horse          | 0.417 |
| sheep         | 0.351 | cow          | 0.407 | elephant       | 0.490 |
| bear          | 0.530 | zebra        | 0.506 | giraffe        | 0.541 |
| backpack      | 0.085 | umbrella     | 0.223 | handbag        | 0.062 |
| tie           | 0.184 | suitcase     | 0.136 | frisbee        | 0.503 |
| skis          | 0.109 | snowboard    | 0.140 | sports ball    | 0.370 |
| kite          | 0.290 | baseball bat | 0.156 | baseball glove | 0.259 |
| skateboard    | 0.288 | surfboard    | 0.175 | tennis racket  | 0.299 |
| bottle        | 0.292 | wine glass   | 0.237 | cup            | 0.311 |
| fork          | 0.113 | knife        | 0.053 | spoon          | 0.051 |
| bowl          | 0.319 | banana       | 0.143 | apple          | 0.095 |
| sandwich      | 0.208 | orange       | 0.238 | broccoli       | 0.166 |
| carrot        | 0.091 | hot dog      | 0.132 | pizza          | 0.386 |
| donut         | 0.280 | cake         | 0.199 | chair          | 0.152 |
| couch         | 0.256 | potted plant | 0.158 | bed            | 0.258 |
| dining table  | 0.154 | toilet       | 0.437 | tv             | 0.431 |
| laptop        | 0.421 | mouse        | 0.462 | remote         | 0.127 |
| keyboard      | 0.346 | cell phone   | 0.235 | microwave      | 0.330 |
| oven          | 0.197 | toaster      | 0.107 | sink           | 0.229 |
| refrigerator  | 0.350 | book         | 0.053 | clock          | 0.405 |
| vase          | 0.276 | scissors     | 0.089 | teddy bear     | 0.287 |
| hair drier    | 0.000 | toothbrush   | 0.047 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 13:30:21,689 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 13:30:21,690 - mmdet - INFO - Iter [2000/40000]	lr: 2.000e-02, eta: 18:35:39, time: 1.719, data_time: 0.029, memory: 26254, bbox_mAP: 0.2690, bbox_mAP_50: 0.4620, bbox_mAP_75: 0.2760, bbox_mAP_s: 0.1490, bbox_mAP_m: 0.2980, bbox_mAP_l: 0.3460, bbox_mAP_copypaste: 0.269 0.462 0.276 0.149 0.298 0.346, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0557, loss_cls: 0.2719, acc: 91.4589, loss_bbox: 0.2906, loss_rpn_cls_unlabeled: 0.1024, loss_rpn_bbox_unlabeled: 0.1047, loss_cls_unlabeled: 0.2201, acc_unlabeled: 91.2985, loss_bbox_unlabeled: 0.1991, losses_cls_ig_unlabeled: 0.1812, pseudo_num: 1.4632, pseudo_num_ig: 5.4862, pseudo_num_mining: 0.6734, pseudo_num(acc): 0.8626, pseudo_num ig(acc): 0.4768, loss: 1.4735
2021-10-31 13:31:45,606 - mmdet - INFO - Iter [2050/40000]	lr: 2.000e-02, eta: 20:19:18, time: 8.575, data_time: 6.926, memory: 26254, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0539, loss_cls: 0.2657, acc: 91.6578, loss_bbox: 0.2817, loss_rpn_cls_unlabeled: 0.1049, loss_rpn_bbox_unlabeled: 0.1015, loss_cls_unlabeled: 0.1987, acc_unlabeled: 91.4097, loss_bbox_unlabeled: 0.1692, losses_cls_ig_unlabeled: 0.1958, pseudo_num: 1.4673, pseudo_num_ig: 5.4873, pseudo_num_mining: 0.6726, pseudo_num(acc): 0.8620, pseudo_num ig(acc): 0.4765, loss: 1.4182
2021-10-31 13:33:08,800 - mmdet - INFO - Iter [2100/40000]	lr: 2.000e-02, eta: 20:13:44, time: 1.664, data_time: 0.030, memory: 26254, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0556, loss_cls: 0.2820, acc: 91.1808, loss_bbox: 0.2958, loss_rpn_cls_unlabeled: 0.0988, loss_rpn_bbox_unlabeled: 0.1009, loss_cls_unlabeled: 0.2123, acc_unlabeled: 91.3134, loss_bbox_unlabeled: 0.1798, losses_cls_ig_unlabeled: 0.1960, pseudo_num: 1.4683, pseudo_num_ig: 5.4839, pseudo_num_mining: 0.6725, pseudo_num(acc): 0.8621, pseudo_num ig(acc): 0.4765, loss: 1.4700
2021-10-31 13:34:33,600 - mmdet - INFO - Iter [2150/40000]	lr: 2.000e-02, eta: 20:08:50, time: 1.697, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0560, loss_cls: 0.2798, acc: 91.2946, loss_bbox: 0.2912, loss_rpn_cls_unlabeled: 0.1034, loss_rpn_bbox_unlabeled: 0.0989, loss_cls_unlabeled: 0.2048, acc_unlabeled: 91.2838, loss_bbox_unlabeled: 0.1666, losses_cls_ig_unlabeled: 0.2011, pseudo_num: 1.4683, pseudo_num_ig: 5.4826, pseudo_num_mining: 0.6723, pseudo_num(acc): 0.8625, pseudo_num ig(acc): 0.4767, loss: 1.4532
2021-10-31 13:35:56,457 - mmdet - INFO - Iter [2200/40000]	lr: 2.000e-02, eta: 20:03:32, time: 1.657, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0561, loss_cls: 0.2789, acc: 91.2509, loss_bbox: 0.2901, loss_rpn_cls_unlabeled: 0.0979, loss_rpn_bbox_unlabeled: 0.1008, loss_cls_unlabeled: 0.2031, acc_unlabeled: 91.3987, loss_bbox_unlabeled: 0.1777, losses_cls_ig_unlabeled: 0.1928, pseudo_num: 1.4680, pseudo_num_ig: 5.4827, pseudo_num_mining: 0.6723, pseudo_num(acc): 0.8630, pseudo_num ig(acc): 0.4767, loss: 1.4450
2021-10-31 13:37:20,224 - mmdet - INFO - Iter [2250/40000]	lr: 2.000e-02, eta: 19:58:35, time: 1.670, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0520, loss_cls: 0.2668, acc: 91.5458, loss_bbox: 0.2849, loss_rpn_cls_unlabeled: 0.0992, loss_rpn_bbox_unlabeled: 0.0985, loss_cls_unlabeled: 0.2028, acc_unlabeled: 91.4929, loss_bbox_unlabeled: 0.1728, losses_cls_ig_unlabeled: 0.1872, pseudo_num: 1.4689, pseudo_num_ig: 5.4809, pseudo_num_mining: 0.6716, pseudo_num(acc): 0.8631, pseudo_num ig(acc): 0.4766, loss: 1.4113
2021-10-31 13:38:43,316 - mmdet - INFO - Iter [2300/40000]	lr: 2.000e-02, eta: 19:53:41, time: 1.663, data_time: 0.031, memory: 26254, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0534, loss_cls: 0.2689, acc: 91.5463, loss_bbox: 0.2866, loss_rpn_cls_unlabeled: 0.1019, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.2065, acc_unlabeled: 91.2682, loss_bbox_unlabeled: 0.1768, losses_cls_ig_unlabeled: 0.1938, pseudo_num: 1.4693, pseudo_num_ig: 5.4780, pseudo_num_mining: 0.6718, pseudo_num(acc): 0.8634, pseudo_num ig(acc): 0.4764, loss: 1.4326
2021-10-31 13:40:07,399 - mmdet - INFO - Iter [2350/40000]	lr: 2.000e-02, eta: 19:49:11, time: 1.682, data_time: 0.033, memory: 26254, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0550, loss_cls: 0.2700, acc: 91.4471, loss_bbox: 0.2889, loss_rpn_cls_unlabeled: 0.0995, loss_rpn_bbox_unlabeled: 0.0994, loss_cls_unlabeled: 0.1948, acc_unlabeled: 91.1968, loss_bbox_unlabeled: 0.1707, losses_cls_ig_unlabeled: 0.1983, pseudo_num: 1.4705, pseudo_num_ig: 5.4804, pseudo_num_mining: 0.6715, pseudo_num(acc): 0.8637, pseudo_num ig(acc): 0.4762, loss: 1.4218
2021-10-31 13:41:31,216 - mmdet - INFO - Iter [2400/40000]	lr: 2.000e-02, eta: 19:44:49, time: 1.681, data_time: 0.033, memory: 26254, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0562, loss_cls: 0.2765, acc: 91.3323, loss_bbox: 0.2922, loss_rpn_cls_unlabeled: 0.0987, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.2020, acc_unlabeled: 91.6450, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1885, pseudo_num: 1.4693, pseudo_num_ig: 5.4774, pseudo_num_mining: 0.6710, pseudo_num(acc): 0.8639, pseudo_num ig(acc): 0.4762, loss: 1.4334
2021-10-31 13:42:55,922 - mmdet - INFO - Iter [2450/40000]	lr: 2.000e-02, eta: 19:40:42, time: 1.693, data_time: 0.028, memory: 26254, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0551, loss_cls: 0.2654, acc: 91.6787, loss_bbox: 0.2789, loss_rpn_cls_unlabeled: 0.1001, loss_rpn_bbox_unlabeled: 0.0997, loss_cls_unlabeled: 0.2037, acc_unlabeled: 91.4342, loss_bbox_unlabeled: 0.1853, losses_cls_ig_unlabeled: 0.1909, pseudo_num: 1.4719, pseudo_num_ig: 5.4772, pseudo_num_mining: 0.6714, pseudo_num(acc): 0.8642, pseudo_num ig(acc): 0.4763, loss: 1.4281
2021-10-31 13:44:19,128 - mmdet - INFO - pseudo pos: 0.98(4555.0-person) 0.89(123.0-bicycle) 0.94(837.0-car) 0.99(161.0-motorcycle) 0.99(70.0-airplane) 0.99(99.0-bus) 0.98(83.0-train) 0.72(167.0-truck) 0.74(112.0-boat) 0.89(238.0-traffic light) 0.98(43.0-fire hydrant) 1.00(36.0-stop sign) 0.94(17.0-parking meter) 0.65(149.0-bench) 0.93(164.0-bird) 0.99(72.0-cat) 0.99(95.0-dog) 0.98(123.0-horse) 0.89(142.0-sheep) 0.94(100.0-cow) 1.00(93.0-elephant) 1.00(43.0-bear) 0.98(58.0-zebra) 1.00(66.0-giraffe) 0.47(176.0-backpack) 0.83(199.0-umbrella) 0.49(210.0-handbag) 0.96(95.0-tie) 0.77(110.0-suitcase) 1.00(35.0-frisbee) 0.62(113.0-skis) 0.71(41.0-snowboard) 0.99(98.0-sports ball) 0.92(125.0-kite) 0.93(61.0-baseball bat) 0.93(67.0-baseball glove) 0.98(109.0-skateboard) 0.85(103.0-surfboard) 0.98(61.0-tennis racket) 0.87(425.0-bottle) 0.93(121.0-wine glass) 0.90(395.0-cup) 0.65(107.0-fork) 0.47(174.0-knife) 0.46(108.0-spoon) 0.85(255.0-bowl) 0.71(170.0-banana) 0.68(85.0-apple) 0.78(95.0-sandwich) 0.67(136.0-orange) 0.69(127.0-broccoli) 0.51(153.0-carrot) 0.77(43.0-hot dog) 0.96(104.0-pizza) 0.92(109.0-donut) 0.80(92.0-cake) 0.77(683.0-chair) 0.74(106.0-couch) 0.70(190.0-potted plant) 0.91(74.0-bed) 0.74(361.0-dining table) 0.93(54.0-toilet) 0.94(88.0-tv) 0.99(84.0-laptop) 0.96(47.0-mouse) 0.87(55.0-remote) 0.96(47.0-keyboard) 0.87(120.0-cell phone) 1.00(20.0-microwave) 0.87(67.0-oven) 0.00(0.0-toaster) 0.87(76.0-sink) 0.97(61.0-refrigerator) 0.35(389.0-book) 0.98(122.0-clock) 0.85(111.0-vase) 0.76(17.0-scissors) 0.97(68.0-teddy bear) 0.00(0.0-hair drier) 0.44(18.0-toothbrush)
2021-10-31 13:44:19,129 - mmdet - INFO - pseudo ig: 0.67(15917.0-person) 0.42(360.0-bicycle) 0.49(2897.0-car) 0.55(593.0-motorcycle) 0.72(253.0-airplane) 0.66(367.0-bus) 0.67(281.0-train) 0.37(602.0-truck) 0.37(566.0-boat) 0.36(1085.0-traffic light) 0.70(118.0-fire hydrant) 0.59(138.0-stop sign) 0.33(86.0-parking meter) 0.20(559.0-bench) 0.35(631.0-bird) 0.77(324.0-cat) 0.68(283.0-dog) 0.60(454.0-horse) 0.49(859.0-sheep) 0.53(588.0-cow) 0.75(381.0-elephant) 0.54(99.0-bear) 0.76(395.0-zebra) 0.90(316.0-giraffe) 0.24(627.0-backpack) 0.42(701.0-umbrella) 0.18(798.0-handbag) 0.38(368.0-tie) 0.38(394.0-suitcase) 0.63(157.0-frisbee) 0.37(428.0-skis) 0.33(169.0-snowboard) 0.36(501.0-sports ball) 0.50(610.0-kite) 0.31(246.0-baseball bat) 0.36(236.0-baseball glove) 0.48(326.0-skateboard) 0.40(437.0-surfboard) 0.60(333.0-tennis racket) 0.40(1609.0-bottle) 0.50(464.0-wine glass) 0.33(1626.0-cup) 0.26(379.0-fork) 0.19(625.0-knife) 0.17(485.0-spoon) 0.39(1049.0-bowl) 0.31(675.0-banana) 0.21(326.0-apple) 0.29(284.0-sandwich) 0.24(602.0-orange) 0.43(532.0-broccoli) 0.22(581.0-carrot) 0.38(177.0-hot dog) 0.58(349.0-pizza) 0.46(525.0-donut) 0.35(355.0-cake) 0.31(2440.0-chair) 0.42(383.0-couch) 0.32(601.0-potted plant) 0.53(215.0-bed) 0.35(905.0-dining table) 0.69(245.0-toilet) 0.65(404.0-tv) 0.58(368.0-laptop) 0.30(218.0-mouse) 0.35(307.0-remote) 0.49(188.0-keyboard) 0.27(481.0-cell phone) 0.59(88.0-microwave) 0.35(264.0-oven) 0.00(0.0-toaster) 0.43(382.0-sink) 0.40(171.0-refrigerator) 0.19(1131.0-book) 0.56(390.0-clock) 0.39(498.0-vase) 0.23(69.0-scissors) 0.48(256.0-teddy bear) 0.00(0.0-hair drier) 0.15(93.0-toothbrush)
2021-10-31 13:44:19,129 - mmdet - INFO - pseudo gt: 22141.0 550.0 3762.0 792.0 409.0 581.0 399.0 761.0 770.0 1109.0 170.0 179.0 96.0 813.0 793.0 424.0 471.0 602.0 862.0 686.0 494.0 110.0 468.0 418.0 721.0 988.0 1033.0 541.0 640.0 216.0 594.0 219.0 496.0 820.0 248.0 307.0 474.0 473.0 405.0 2106.0 702.0 1618.0 440.0 751.0 499.0 1146.0 691.0 512.0 298.0 552.0 638.0 664.0 200.0 440.0 752.0 483.0 3200.0 507.0 783.0 349.0 1288.0 337.0 540.0 460.0 208.0 476.0 261.0 548.0 144.0 292.0 16.0 434.0 243.0 2105.0 512.0 544.0 88.0 309.0 13.0 166.0
2021-10-31 13:44:19,129 - mmdet - INFO - pseudo mining: 3579.0 11.0 323.0 33.0 29.0 65.0 31.0 7.0 12.0 113.0 43.0 74.0 1.0 1.0 27.0 48.0 35.0 50.0 177.0 68.0 117.0 6.0 176.0 193.0 1.0 41.0 0.0 24.0 4.0 52.0 3.0 0.0 147.0 164.0 10.0 45.0 32.0 14.0 74.0 117.0 29.0 69.0 0.0 1.0 0.0 39.0 9.0 0.0 1.0 7.0 19.0 14.0 0.0 37.0 41.0 2.0 12.0 2.0 15.0 0.0 9.0 88.0 105.0 58.0 45.0 6.0 20.0 14.0 10.0 1.0 0.0 40.0 5.0 1.0 223.0 35.0 0.0 13.0 0.0 0.0
2021-10-31 13:44:20,679 - mmdet - INFO - Iter [2500/40000]	lr: 2.000e-02, eta: 19:36:44, time: 1.695, data_time: 0.028, memory: 26254, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0576, loss_cls: 0.2787, acc: 91.2208, loss_bbox: 0.2929, loss_rpn_cls_unlabeled: 0.1006, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.2006, acc_unlabeled: 91.5745, loss_bbox_unlabeled: 0.1796, losses_cls_ig_unlabeled: 0.1850, pseudo_num: 1.4742, pseudo_num_ig: 5.4767, pseudo_num_mining: 0.6718, pseudo_num(acc): 0.8646, pseudo_num ig(acc): 0.4763, loss: 1.4425
2021-10-31 13:45:46,581 - mmdet - INFO - Iter [2550/40000]	lr: 2.000e-02, eta: 19:33:09, time: 1.717, data_time: 0.029, memory: 26254, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0550, loss_cls: 0.2713, acc: 91.4463, loss_bbox: 0.2867, loss_rpn_cls_unlabeled: 0.0990, loss_rpn_bbox_unlabeled: 0.0996, loss_cls_unlabeled: 0.1937, acc_unlabeled: 91.6697, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4761, pseudo_num_ig: 5.4729, pseudo_num_mining: 0.6716, pseudo_num(acc): 0.8649, pseudo_num ig(acc): 0.4764, loss: 1.4077
2021-10-31 13:47:12,545 - mmdet - INFO - Iter [2600/40000]	lr: 2.000e-02, eta: 19:29:41, time: 1.722, data_time: 0.030, memory: 26254, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0559, loss_cls: 0.2673, acc: 91.5288, loss_bbox: 0.2844, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.0985, loss_cls_unlabeled: 0.2056, acc_unlabeled: 91.4814, loss_bbox_unlabeled: 0.1816, losses_cls_ig_unlabeled: 0.1857, pseudo_num: 1.4766, pseudo_num_ig: 5.4666, pseudo_num_mining: 0.6716, pseudo_num(acc): 0.8652, pseudo_num ig(acc): 0.4766, loss: 1.4183
2021-10-31 13:48:36,787 - mmdet - INFO - Iter [2650/40000]	lr: 2.000e-02, eta: 19:25:52, time: 1.684, data_time: 0.026, memory: 26254, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0572, loss_cls: 0.2723, acc: 91.2820, loss_bbox: 0.2937, loss_rpn_cls_unlabeled: 0.0974, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.2040, acc_unlabeled: 91.5334, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1850, pseudo_num: 1.4778, pseudo_num_ig: 5.4635, pseudo_num_mining: 0.6719, pseudo_num(acc): 0.8655, pseudo_num ig(acc): 0.4767, loss: 1.4275
2021-10-31 13:50:00,555 - mmdet - INFO - Iter [2700/40000]	lr: 2.000e-02, eta: 19:22:02, time: 1.677, data_time: 0.027, memory: 26254, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0546, loss_cls: 0.2688, acc: 91.5242, loss_bbox: 0.2843, loss_rpn_cls_unlabeled: 0.0971, loss_rpn_bbox_unlabeled: 0.0985, loss_cls_unlabeled: 0.1981, acc_unlabeled: 91.7062, loss_bbox_unlabeled: 0.1780, losses_cls_ig_unlabeled: 0.1793, pseudo_num: 1.4788, pseudo_num_ig: 5.4619, pseudo_num_mining: 0.6723, pseudo_num(acc): 0.8658, pseudo_num ig(acc): 0.4768, loss: 1.4057
2021-10-31 13:51:25,401 - mmdet - INFO - Iter [2750/40000]	lr: 2.000e-02, eta: 19:18:32, time: 1.697, data_time: 0.026, memory: 26481, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0545, loss_cls: 0.2693, acc: 91.4187, loss_bbox: 0.2882, loss_rpn_cls_unlabeled: 0.0972, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.2069, acc_unlabeled: 91.6525, loss_bbox_unlabeled: 0.1785, losses_cls_ig_unlabeled: 0.1836, pseudo_num: 1.4807, pseudo_num_ig: 5.4588, pseudo_num_mining: 0.6724, pseudo_num(acc): 0.8662, pseudo_num ig(acc): 0.4767, loss: 1.4202
2021-10-31 13:52:50,284 - mmdet - INFO - Iter [2800/40000]	lr: 2.000e-02, eta: 19:15:07, time: 1.698, data_time: 0.026, memory: 26481, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0568, loss_cls: 0.2721, acc: 91.3693, loss_bbox: 0.2934, loss_rpn_cls_unlabeled: 0.1036, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.1915, acc_unlabeled: 91.6743, loss_bbox_unlabeled: 0.1666, losses_cls_ig_unlabeled: 0.1841, pseudo_num: 1.4806, pseudo_num_ig: 5.4549, pseudo_num_mining: 0.6721, pseudo_num(acc): 0.8665, pseudo_num ig(acc): 0.4769, loss: 1.4159
2021-10-31 13:54:15,340 - mmdet - INFO - Iter [2850/40000]	lr: 2.000e-02, eta: 19:11:48, time: 1.700, data_time: 0.025, memory: 26481, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0587, loss_cls: 0.2747, acc: 91.3134, loss_bbox: 0.2915, loss_rpn_cls_unlabeled: 0.0985, loss_rpn_bbox_unlabeled: 0.0990, loss_cls_unlabeled: 0.1976, acc_unlabeled: 91.6167, loss_bbox_unlabeled: 0.1789, losses_cls_ig_unlabeled: 0.1863, pseudo_num: 1.4815, pseudo_num_ig: 5.4549, pseudo_num_mining: 0.6727, pseudo_num(acc): 0.8668, pseudo_num ig(acc): 0.4770, loss: 1.4346
2021-10-31 13:55:41,935 - mmdet - INFO - Iter [2900/40000]	lr: 2.000e-02, eta: 19:08:51, time: 1.729, data_time: 0.027, memory: 26481, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0561, loss_cls: 0.2717, acc: 91.3679, loss_bbox: 0.2917, loss_rpn_cls_unlabeled: 0.0992, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1954, acc_unlabeled: 91.9529, loss_bbox_unlabeled: 0.1693, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4822, pseudo_num_ig: 5.4508, pseudo_num_mining: 0.6733, pseudo_num(acc): 0.8670, pseudo_num ig(acc): 0.4773, loss: 1.4098
2021-10-31 13:57:06,955 - mmdet - INFO - Iter [2950/40000]	lr: 2.000e-02, eta: 19:05:40, time: 1.702, data_time: 0.031, memory: 26481, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0557, loss_cls: 0.2730, acc: 91.3936, loss_bbox: 0.2902, loss_rpn_cls_unlabeled: 0.0978, loss_rpn_bbox_unlabeled: 0.0977, loss_cls_unlabeled: 0.2021, acc_unlabeled: 91.6981, loss_bbox_unlabeled: 0.1740, losses_cls_ig_unlabeled: 0.1799, pseudo_num: 1.4820, pseudo_num_ig: 5.4459, pseudo_num_mining: 0.6737, pseudo_num(acc): 0.8671, pseudo_num ig(acc): 0.4774, loss: 1.4159
2021-10-31 13:58:28,863 - mmdet - INFO - pseudo pos: 0.98(5600.0-person) 0.90(142.0-bicycle) 0.94(1041.0-car) 0.99(197.0-motorcycle) 0.99(85.0-airplane) 0.99(126.0-bus) 0.98(109.0-train) 0.70(224.0-truck) 0.73(157.0-boat) 0.90(278.0-traffic light) 0.98(44.0-fire hydrant) 1.00(40.0-stop sign) 0.95(22.0-parking meter) 0.66(190.0-bench) 0.93(196.0-bird) 0.99(93.0-cat) 0.99(115.0-dog) 0.98(157.0-horse) 0.90(168.0-sheep) 0.95(115.0-cow) 1.00(102.0-elephant) 1.00(48.0-bear) 0.98(94.0-zebra) 1.00(84.0-giraffe) 0.46(191.0-backpack) 0.83(237.0-umbrella) 0.49(239.0-handbag) 0.93(109.0-tie) 0.79(129.0-suitcase) 1.00(44.0-frisbee) 0.65(135.0-skis) 0.72(46.0-snowboard) 0.98(116.0-sports ball) 0.92(157.0-kite) 0.90(73.0-baseball bat) 0.93(76.0-baseball glove) 0.98(127.0-skateboard) 0.87(132.0-surfboard) 0.97(72.0-tennis racket) 0.87(481.0-bottle) 0.94(131.0-wine glass) 0.91(460.0-cup) 0.67(129.0-fork) 0.45(208.0-knife) 0.50(135.0-spoon) 0.86(321.0-bowl) 0.69(219.0-banana) 0.60(113.0-apple) 0.79(114.0-sandwich) 0.67(147.0-orange) 0.68(157.0-broccoli) 0.54(176.0-carrot) 0.78(49.0-hot dog) 0.97(120.0-pizza) 0.91(122.0-donut) 0.80(117.0-cake) 0.78(810.0-chair) 0.76(123.0-couch) 0.70(213.0-potted plant) 0.92(87.0-bed) 0.75(439.0-dining table) 0.93(68.0-toilet) 0.95(102.0-tv) 0.98(102.0-laptop) 0.96(51.0-mouse) 0.86(71.0-remote) 0.96(55.0-keyboard) 0.87(141.0-cell phone) 1.00(25.0-microwave) 0.89(79.0-oven) 0.00(0.0-toaster) 0.87(86.0-sink) 0.97(66.0-refrigerator) 0.36(440.0-book) 0.99(144.0-clock) 0.88(139.0-vase) 0.78(18.0-scissors) 0.96(84.0-teddy bear) 0.00(0.0-hair drier) 0.42(24.0-toothbrush)
2021-10-31 13:58:28,863 - mmdet - INFO - pseudo ig: 0.65(19371.0-person) 0.41(424.0-bicycle) 0.49(3519.0-car) 0.57(717.0-motorcycle) 0.69(323.0-airplane) 0.66(432.0-bus) 0.64(333.0-train) 0.36(781.0-truck) 0.37(718.0-boat) 0.37(1244.0-traffic light) 0.70(145.0-fire hydrant) 0.62(163.0-stop sign) 0.34(98.0-parking meter) 0.21(697.0-bench) 0.35(795.0-bird) 0.77(380.0-cat) 0.67(355.0-dog) 0.61(560.0-horse) 0.49(941.0-sheep) 0.53(679.0-cow) 0.72(459.0-elephant) 0.58(121.0-bear) 0.73(483.0-zebra) 0.90(362.0-giraffe) 0.26(698.0-backpack) 0.42(833.0-umbrella) 0.19(948.0-handbag) 0.38(420.0-tie) 0.37(448.0-suitcase) 0.64(186.0-frisbee) 0.38(501.0-skis) 0.34(196.0-snowboard) 0.35(596.0-sports ball) 0.51(688.0-kite) 0.32(290.0-baseball bat) 0.36(267.0-baseball glove) 0.49(398.0-skateboard) 0.42(518.0-surfboard) 0.61(383.0-tennis racket) 0.41(1866.0-bottle) 0.50(562.0-wine glass) 0.35(1904.0-cup) 0.27(437.0-fork) 0.19(726.0-knife) 0.18(567.0-spoon) 0.39(1249.0-bowl) 0.29(860.0-banana) 0.20(425.0-apple) 0.33(334.0-sandwich) 0.26(656.0-orange) 0.41(643.0-broccoli) 0.22(651.0-carrot) 0.38(203.0-hot dog) 0.58(412.0-pizza) 0.40(654.0-donut) 0.35(462.0-cake) 0.32(2865.0-chair) 0.41(453.0-couch) 0.33(696.0-potted plant) 0.50(283.0-bed) 0.36(1095.0-dining table) 0.68(288.0-toilet) 0.64(461.0-tv) 0.59(427.0-laptop) 0.31(243.0-mouse) 0.34(373.0-remote) 0.49(216.0-keyboard) 0.27(562.0-cell phone) 0.59(106.0-microwave) 0.36(303.0-oven) 0.00(0.0-toaster) 0.42(451.0-sink) 0.41(196.0-refrigerator) 0.20(1322.0-book) 0.56(452.0-clock) 0.40(580.0-vase) 0.26(78.0-scissors) 0.48(299.0-teddy bear) 0.00(0.0-hair drier) 0.14(125.0-toothbrush)
2021-10-31 13:58:28,864 - mmdet - INFO - pseudo gt: 26669.0 661.0 4568.0 985.0 487.0 694.0 483.0 947.0 946.0 1340.0 197.0 211.0 129.0 976.0 1035.0 502.0 574.0 763.0 971.0 797.0 562.0 138.0 576.0 508.0 868.0 1165.0 1255.0 636.0 716.0 262.0 716.0 250.0 578.0 980.0 288.0 362.0 577.0 564.0 469.0 2476.0 797.0 1999.0 525.0 891.0 622.0 1423.0 870.0 592.0 393.0 676.0 754.0 769.0 264.0 523.0 825.0 614.0 3914.0 610.0 952.0 425.0 1580.0 403.0 628.0 544.0 236.0 587.0 300.0 656.0 170.0 344.0 21.0 512.0 277.0 2508.0 611.0 669.0 109.0 372.0 15.0 202.0
2021-10-31 13:58:28,864 - mmdet - INFO - pseudo mining: 4283.0 12.0 410.0 49.0 36.0 81.0 34.0 7.0 17.0 142.0 56.0 92.0 2.0 1.0 31.0 54.0 42.0 68.0 196.0 71.0 146.0 16.0 195.0 223.0 1.0 48.0 0.0 29.0 5.0 64.0 3.0 0.0 170.0 186.0 11.0 54.0 40.0 15.0 88.0 147.0 39.0 101.0 0.0 1.0 0.0 47.0 12.0 0.0 1.0 7.0 23.0 14.0 0.0 41.0 43.0 4.0 13.0 2.0 19.0 0.0 13.0 96.0 121.0 70.0 54.0 10.0 21.0 19.0 12.0 2.0 0.0 52.0 6.0 2.0 257.0 40.0 0.0 14.0 0.0 0.0
2021-10-31 14:00:01,020 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 14:00:01,021 - mmdet - INFO - Iter [3000/40000]	lr: 2.000e-02, eta: 19:02:15, time: 1.673, data_time: 0.027, memory: 26481, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0546, loss_cls: 0.2712, acc: 91.4120, loss_bbox: 0.2888, loss_rpn_cls_unlabeled: 0.0952, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1955, acc_unlabeled: 91.6869, loss_bbox_unlabeled: 0.1735, losses_cls_ig_unlabeled: 0.1857, pseudo_num: 1.4831, pseudo_num_ig: 5.4433, pseudo_num_mining: 0.6735, pseudo_num(acc): 0.8672, pseudo_num ig(acc): 0.4773, loss: 1.4085
2021-10-31 14:01:25,033 - mmdet - INFO - Iter [3050/40000]	lr: 2.000e-02, eta: 19:17:14, time: 3.490, data_time: 1.837, memory: 26481, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0556, loss_cls: 0.2717, acc: 91.2531, loss_bbox: 0.2988, loss_rpn_cls_unlabeled: 0.0970, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.1942, acc_unlabeled: 91.4004, loss_bbox_unlabeled: 0.1727, losses_cls_ig_unlabeled: 0.1918, pseudo_num: 1.4831, pseudo_num_ig: 5.4462, pseudo_num_mining: 0.6746, pseudo_num(acc): 0.8672, pseudo_num ig(acc): 0.4773, loss: 1.4321
2021-10-31 14:02:48,893 - mmdet - INFO - Iter [3100/40000]	lr: 2.000e-02, eta: 19:13:38, time: 1.674, data_time: 0.027, memory: 26481, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0550, loss_cls: 0.2632, acc: 91.6123, loss_bbox: 0.2849, loss_rpn_cls_unlabeled: 0.1016, loss_rpn_bbox_unlabeled: 0.1022, loss_cls_unlabeled: 0.1990, acc_unlabeled: 91.4655, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1901, pseudo_num: 1.4831, pseudo_num_ig: 5.4509, pseudo_num_mining: 0.6763, pseudo_num(acc): 0.8675, pseudo_num ig(acc): 0.4772, loss: 1.4169
2021-10-31 14:04:13,216 - mmdet - INFO - Iter [3150/40000]	lr: 2.000e-02, eta: 19:10:15, time: 1.690, data_time: 0.030, memory: 26481, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0544, loss_cls: 0.2731, acc: 91.2666, loss_bbox: 0.2942, loss_rpn_cls_unlabeled: 0.0943, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.1932, acc_unlabeled: 91.3777, loss_bbox_unlabeled: 0.1723, losses_cls_ig_unlabeled: 0.1901, pseudo_num: 1.4824, pseudo_num_ig: 5.4542, pseudo_num_mining: 0.6776, pseudo_num(acc): 0.8677, pseudo_num ig(acc): 0.4773, loss: 1.4226
2021-10-31 14:05:37,873 - mmdet - INFO - Iter [3200/40000]	lr: 2.000e-02, eta: 19:06:58, time: 1.692, data_time: 0.027, memory: 26481, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0565, loss_cls: 0.2614, acc: 91.6619, loss_bbox: 0.2827, loss_rpn_cls_unlabeled: 0.1006, loss_rpn_bbox_unlabeled: 0.1003, loss_cls_unlabeled: 0.1897, acc_unlabeled: 91.8267, loss_bbox_unlabeled: 0.1690, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4820, pseudo_num_ig: 5.4585, pseudo_num_mining: 0.6791, pseudo_num(acc): 0.8677, pseudo_num ig(acc): 0.4772, loss: 1.3885
2021-10-31 14:07:02,455 - mmdet - INFO - Iter [3250/40000]	lr: 2.000e-02, eta: 19:03:43, time: 1.691, data_time: 0.029, memory: 26481, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0539, loss_cls: 0.2675, acc: 91.4653, loss_bbox: 0.2856, loss_rpn_cls_unlabeled: 0.1000, loss_rpn_bbox_unlabeled: 0.1028, loss_cls_unlabeled: 0.2013, acc_unlabeled: 91.1401, loss_bbox_unlabeled: 0.1760, losses_cls_ig_unlabeled: 0.1933, pseudo_num: 1.4822, pseudo_num_ig: 5.4595, pseudo_num_mining: 0.6798, pseudo_num(acc): 0.8678, pseudo_num ig(acc): 0.4770, loss: 1.4258
2021-10-31 14:08:27,660 - mmdet - INFO - Iter [3300/40000]	lr: 2.000e-02, eta: 19:00:38, time: 1.704, data_time: 0.031, memory: 26481, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0540, loss_cls: 0.2661, acc: 91.4950, loss_bbox: 0.2872, loss_rpn_cls_unlabeled: 0.0984, loss_rpn_bbox_unlabeled: 0.1001, loss_cls_unlabeled: 0.1997, acc_unlabeled: 91.4795, loss_bbox_unlabeled: 0.1747, losses_cls_ig_unlabeled: 0.1858, pseudo_num: 1.4821, pseudo_num_ig: 5.4620, pseudo_num_mining: 0.6805, pseudo_num(acc): 0.8679, pseudo_num ig(acc): 0.4768, loss: 1.4126
2021-10-31 14:11:10,744 - mmdet - INFO - Iter [3350/40000]	lr: 2.000e-02, eta: 19:11:50, time: 3.263, data_time: 0.029, memory: 26481, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0528, loss_cls: 0.2659, acc: 91.5897, loss_bbox: 0.2842, loss_rpn_cls_unlabeled: 0.0935, loss_rpn_bbox_unlabeled: 0.1016, loss_cls_unlabeled: 0.1892, acc_unlabeled: 91.5833, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4825, pseudo_num_ig: 5.4657, pseudo_num_mining: 0.6818, pseudo_num(acc): 0.8678, pseudo_num ig(acc): 0.4767, loss: 1.3859
2021-10-31 14:12:34,671 - mmdet - INFO - Iter [3400/40000]	lr: 2.000e-02, eta: 19:08:24, time: 1.677, data_time: 0.028, memory: 26481, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0543, loss_cls: 0.2549, acc: 91.7469, loss_bbox: 0.2776, loss_rpn_cls_unlabeled: 0.0932, loss_rpn_bbox_unlabeled: 0.0985, loss_cls_unlabeled: 0.1930, acc_unlabeled: 91.6705, loss_bbox_unlabeled: 0.1728, losses_cls_ig_unlabeled: 0.1837, pseudo_num: 1.4823, pseudo_num_ig: 5.4656, pseudo_num_mining: 0.6830, pseudo_num(acc): 0.8679, pseudo_num ig(acc): 0.4766, loss: 1.3725
2021-10-31 14:13:58,247 - mmdet - INFO - Iter [3450/40000]	lr: 2.000e-02, eta: 19:04:58, time: 1.673, data_time: 0.030, memory: 26481, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0582, loss_cls: 0.2687, acc: 91.3501, loss_bbox: 0.2954, loss_rpn_cls_unlabeled: 0.0964, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.1996, acc_unlabeled: 91.6611, loss_bbox_unlabeled: 0.1772, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.4827, pseudo_num_ig: 5.4673, pseudo_num_mining: 0.6837, pseudo_num(acc): 0.8680, pseudo_num ig(acc): 0.4765, loss: 1.4247
2021-10-31 14:15:21,410 - mmdet - INFO - pseudo pos: 0.98(6557.0-person) 0.90(168.0-bicycle) 0.94(1183.0-car) 0.99(237.0-motorcycle) 0.99(99.0-airplane) 0.99(142.0-bus) 0.99(136.0-train) 0.71(256.0-truck) 0.76(180.0-boat) 0.90(305.0-traffic light) 0.96(48.0-fire hydrant) 1.00(47.0-stop sign) 0.97(30.0-parking meter) 0.68(228.0-bench) 0.93(227.0-bird) 0.99(120.0-cat) 0.99(139.0-dog) 0.98(175.0-horse) 0.91(206.0-sheep) 0.95(132.0-cow) 1.00(124.0-elephant) 1.00(54.0-bear) 0.98(106.0-zebra) 0.99(105.0-giraffe) 0.49(232.0-backpack) 0.81(275.0-umbrella) 0.50(274.0-handbag) 0.91(129.0-tie) 0.78(144.0-suitcase) 1.00(51.0-frisbee) 0.66(166.0-skis) 0.72(60.0-snowboard) 0.98(129.0-sports ball) 0.92(183.0-kite) 0.89(91.0-baseball bat) 0.94(87.0-baseball glove) 0.98(150.0-skateboard) 0.89(150.0-surfboard) 0.96(84.0-tennis racket) 0.85(584.0-bottle) 0.94(142.0-wine glass) 0.90(531.0-cup) 0.69(140.0-fork) 0.46(246.0-knife) 0.50(151.0-spoon) 0.85(368.0-bowl) 0.69(254.0-banana) 0.59(125.0-apple) 0.80(138.0-sandwich) 0.71(174.0-orange) 0.69(176.0-broccoli) 0.55(190.0-carrot) 0.77(64.0-hot dog) 0.97(145.0-pizza) 0.92(154.0-donut) 0.81(134.0-cake) 0.77(950.0-chair) 0.80(157.0-couch) 0.71(245.0-potted plant) 0.93(101.0-bed) 0.75(511.0-dining table) 0.92(80.0-toilet) 0.96(116.0-tv) 0.98(118.0-laptop) 0.97(59.0-mouse) 0.79(92.0-remote) 0.97(62.0-keyboard) 0.86(166.0-cell phone) 0.97(36.0-microwave) 0.88(95.0-oven) 0.00(0.0-toaster) 0.86(104.0-sink) 0.97(78.0-refrigerator) 0.36(515.0-book) 0.99(161.0-clock) 0.89(175.0-vase) 0.64(25.0-scissors) 0.96(104.0-teddy bear) 0.00(0.0-hair drier) 0.44(32.0-toothbrush)
2021-10-31 14:15:21,411 - mmdet - INFO - pseudo ig: 0.65(23091.0-person) 0.43(504.0-bicycle) 0.50(4015.0-car) 0.57(833.0-motorcycle) 0.68(383.0-airplane) 0.66(494.0-bus) 0.63(393.0-train) 0.37(899.0-truck) 0.37(827.0-boat) 0.38(1374.0-traffic light) 0.68(173.0-fire hydrant) 0.62(195.0-stop sign) 0.34(119.0-parking meter) 0.21(806.0-bench) 0.34(862.0-bird) 0.77(440.0-cat) 0.68(433.0-dog) 0.61(613.0-horse) 0.49(1018.0-sheep) 0.51(788.0-cow) 0.74(529.0-elephant) 0.60(141.0-bear) 0.74(523.0-zebra) 0.89(399.0-giraffe) 0.26(829.0-backpack) 0.43(987.0-umbrella) 0.19(1086.0-handbag) 0.37(467.0-tie) 0.38(533.0-suitcase) 0.64(217.0-frisbee) 0.36(619.0-skis) 0.32(235.0-snowboard) 0.37(668.0-sports ball) 0.52(750.0-kite) 0.35(338.0-baseball bat) 0.38(333.0-baseball glove) 0.50(498.0-skateboard) 0.41(584.0-surfboard) 0.61(447.0-tennis racket) 0.40(2231.0-bottle) 0.49(649.0-wine glass) 0.35(2227.0-cup) 0.27(499.0-fork) 0.19(848.0-knife) 0.18(644.0-spoon) 0.39(1475.0-bowl) 0.29(999.0-banana) 0.19(508.0-apple) 0.33(429.0-sandwich) 0.26(775.0-orange) 0.42(720.0-broccoli) 0.21(765.0-carrot) 0.37(240.0-hot dog) 0.57(493.0-pizza) 0.39(690.0-donut) 0.36(522.0-cake) 0.31(3428.0-chair) 0.41(528.0-couch) 0.33(817.0-potted plant) 0.47(331.0-bed) 0.35(1295.0-dining table) 0.70(352.0-toilet) 0.63(545.0-tv) 0.58(507.0-laptop) 0.33(265.0-mouse) 0.34(450.0-remote) 0.47(252.0-keyboard) 0.27(638.0-cell phone) 0.60(126.0-microwave) 0.36(363.0-oven) 0.00(0.0-toaster) 0.42(520.0-sink) 0.42(225.0-refrigerator) 0.19(1617.0-book) 0.57(534.0-clock) 0.40(693.0-vase) 0.25(105.0-scissors) 0.49(355.0-teddy bear) 0.00(0.0-hair drier) 0.14(158.0-toothbrush)
2021-10-31 14:15:21,411 - mmdet - INFO - pseudo gt: 31223.0 794.0 5210.0 1140.0 561.0 812.0 565.0 1096.0 1105.0 1518.0 227.0 251.0 161.0 1166.0 1154.0 587.0 698.0 845.0 1086.0 878.0 673.0 165.0 649.0 575.0 1050.0 1380.0 1455.0 731.0 848.0 301.0 841.0 304.0 683.0 1140.0 364.0 443.0 701.0 631.0 558.0 2899.0 907.0 2323.0 609.0 1062.0 725.0 1648.0 1045.0 669.0 499.0 779.0 883.0 871.0 316.0 613.0 889.0 698.0 4593.0 723.0 1053.0 476.0 1856.0 475.0 727.0 641.0 268.0 677.0 340.0 765.0 205.0 406.0 25.0 621.0 321.0 2885.0 727.0 809.0 122.0 435.0 20.0 222.0
2021-10-31 14:15:21,411 - mmdet - INFO - pseudo mining: 5131.0 16.0 492.0 59.0 41.0 97.0 40.0 7.0 23.0 160.0 67.0 111.0 2.0 2.0 31.0 62.0 51.0 75.0 210.0 71.0 183.0 20.0 223.0 242.0 1.0 56.0 0.0 33.0 7.0 81.0 4.0 0.0 194.0 210.0 13.0 69.0 50.0 17.0 105.0 185.0 44.0 120.0 0.0 1.0 0.0 53.0 14.0 0.0 2.0 10.0 28.0 14.0 0.0 51.0 46.0 4.0 15.0 3.0 22.0 0.0 16.0 120.0 144.0 80.0 60.0 13.0 24.0 23.0 15.0 4.0 0.0 59.0 8.0 2.0 310.0 46.0 0.0 18.0 0.0 0.0
2021-10-31 14:15:23,343 - mmdet - INFO - Iter [3500/40000]	lr: 2.000e-02, eta: 19:01:51, time: 1.701, data_time: 0.029, memory: 26481, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0525, loss_cls: 0.2636, acc: 91.6005, loss_bbox: 0.2823, loss_rpn_cls_unlabeled: 0.0985, loss_rpn_bbox_unlabeled: 0.1000, loss_cls_unlabeled: 0.2006, acc_unlabeled: 91.5502, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1876, pseudo_num: 1.4833, pseudo_num_ig: 5.4699, pseudo_num_mining: 0.6851, pseudo_num(acc): 0.8680, pseudo_num ig(acc): 0.4763, loss: 1.4033
2021-10-31 14:16:47,157 - mmdet - INFO - Iter [3550/40000]	lr: 2.000e-02, eta: 18:58:35, time: 1.679, data_time: 0.030, memory: 26481, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0535, loss_cls: 0.2741, acc: 91.3793, loss_bbox: 0.2884, loss_rpn_cls_unlabeled: 0.0944, loss_rpn_bbox_unlabeled: 0.1016, loss_cls_unlabeled: 0.2044, acc_unlabeled: 91.3081, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1888, pseudo_num: 1.4830, pseudo_num_ig: 5.4732, pseudo_num_mining: 0.6866, pseudo_num(acc): 0.8681, pseudo_num ig(acc): 0.4763, loss: 1.4277
2021-10-31 14:18:12,444 - mmdet - INFO - Iter [3600/40000]	lr: 2.000e-02, eta: 18:55:36, time: 1.706, data_time: 0.029, memory: 26481, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0560, loss_cls: 0.2643, acc: 91.4918, loss_bbox: 0.2905, loss_rpn_cls_unlabeled: 0.0976, loss_rpn_bbox_unlabeled: 0.0977, loss_cls_unlabeled: 0.1919, acc_unlabeled: 91.7340, loss_bbox_unlabeled: 0.1747, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.4828, pseudo_num_ig: 5.4753, pseudo_num_mining: 0.6881, pseudo_num(acc): 0.8680, pseudo_num ig(acc): 0.4763, loss: 1.4068
2021-10-31 14:19:36,207 - mmdet - INFO - Iter [3650/40000]	lr: 2.000e-02, eta: 18:52:25, time: 1.675, data_time: 0.029, memory: 26481, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0547, loss_cls: 0.2650, acc: 91.5630, loss_bbox: 0.2840, loss_rpn_cls_unlabeled: 0.0985, loss_rpn_bbox_unlabeled: 0.1037, loss_cls_unlabeled: 0.2066, acc_unlabeled: 91.2582, loss_bbox_unlabeled: 0.1846, losses_cls_ig_unlabeled: 0.1872, pseudo_num: 1.4830, pseudo_num_ig: 5.4785, pseudo_num_mining: 0.6892, pseudo_num(acc): 0.8681, pseudo_num ig(acc): 0.4764, loss: 1.4313
2021-10-31 14:21:02,204 - mmdet - INFO - Iter [3700/40000]	lr: 2.000e-02, eta: 18:49:37, time: 1.718, data_time: 0.027, memory: 26481, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0532, loss_cls: 0.2712, acc: 91.4380, loss_bbox: 0.2876, loss_rpn_cls_unlabeled: 0.1012, loss_rpn_bbox_unlabeled: 0.0996, loss_cls_unlabeled: 0.1987, acc_unlabeled: 91.5001, loss_bbox_unlabeled: 0.1802, losses_cls_ig_unlabeled: 0.1863, pseudo_num: 1.4836, pseudo_num_ig: 5.4828, pseudo_num_mining: 0.6910, pseudo_num(acc): 0.8682, pseudo_num ig(acc): 0.4764, loss: 1.4230
2021-10-31 14:22:25,615 - mmdet - INFO - Iter [3750/40000]	lr: 2.000e-02, eta: 18:46:29, time: 1.670, data_time: 0.033, memory: 26481, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0541, loss_cls: 0.2575, acc: 91.7704, loss_bbox: 0.2802, loss_rpn_cls_unlabeled: 0.0959, loss_rpn_bbox_unlabeled: 0.0994, loss_cls_unlabeled: 0.1970, acc_unlabeled: 91.6501, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.1841, pseudo_num: 1.4838, pseudo_num_ig: 5.4872, pseudo_num_mining: 0.6925, pseudo_num(acc): 0.8682, pseudo_num ig(acc): 0.4762, loss: 1.3857
2021-10-31 14:23:50,469 - mmdet - INFO - Iter [3800/40000]	lr: 2.000e-02, eta: 18:43:34, time: 1.694, data_time: 0.028, memory: 26481, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0572, loss_cls: 0.2731, acc: 91.2592, loss_bbox: 0.2993, loss_rpn_cls_unlabeled: 0.0999, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1960, acc_unlabeled: 91.4154, loss_bbox_unlabeled: 0.1739, losses_cls_ig_unlabeled: 0.1894, pseudo_num: 1.4838, pseudo_num_ig: 5.4886, pseudo_num_mining: 0.6935, pseudo_num(acc): 0.8683, pseudo_num ig(acc): 0.4762, loss: 1.4340
2021-10-31 14:25:16,393 - mmdet - INFO - Iter [3850/40000]	lr: 2.000e-02, eta: 18:40:54, time: 1.720, data_time: 0.030, memory: 26481, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0563, loss_cls: 0.2740, acc: 91.3400, loss_bbox: 0.2942, loss_rpn_cls_unlabeled: 0.1014, loss_rpn_bbox_unlabeled: 0.1008, loss_cls_unlabeled: 0.2043, acc_unlabeled: 91.3273, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1900, pseudo_num: 1.4848, pseudo_num_ig: 5.4902, pseudo_num_mining: 0.6940, pseudo_num(acc): 0.8684, pseudo_num ig(acc): 0.4760, loss: 1.4483
2021-10-31 14:26:41,508 - mmdet - INFO - Iter [3900/40000]	lr: 2.000e-02, eta: 18:38:08, time: 1.702, data_time: 0.028, memory: 26481, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0537, loss_cls: 0.2621, acc: 91.5729, loss_bbox: 0.2856, loss_rpn_cls_unlabeled: 0.0986, loss_rpn_bbox_unlabeled: 0.1060, loss_cls_unlabeled: 0.2075, acc_unlabeled: 91.4608, loss_bbox_unlabeled: 0.1912, losses_cls_ig_unlabeled: 0.1844, pseudo_num: 1.4866, pseudo_num_ig: 5.4932, pseudo_num_mining: 0.6949, pseudo_num(acc): 0.8685, pseudo_num ig(acc): 0.4759, loss: 1.4336
2021-10-31 14:28:06,123 - mmdet - INFO - Iter [3950/40000]	lr: 2.000e-02, eta: 18:35:20, time: 1.693, data_time: 0.030, memory: 26481, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0536, loss_cls: 0.2584, acc: 91.7507, loss_bbox: 0.2779, loss_rpn_cls_unlabeled: 0.0968, loss_rpn_bbox_unlabeled: 0.1019, loss_cls_unlabeled: 0.2081, acc_unlabeled: 91.4327, loss_bbox_unlabeled: 0.1902, losses_cls_ig_unlabeled: 0.1782, pseudo_num: 1.4889, pseudo_num_ig: 5.4951, pseudo_num_mining: 0.6961, pseudo_num(acc): 0.8686, pseudo_num ig(acc): 0.4758, loss: 1.4102
2021-10-31 14:29:28,765 - mmdet - INFO - pseudo pos: 0.98(7523.0-person) 0.91(187.0-bicycle) 0.94(1372.0-car) 0.99(268.0-motorcycle) 0.99(116.0-airplane) 0.99(149.0-bus) 0.99(151.0-train) 0.73(297.0-truck) 0.75(213.0-boat) 0.91(379.0-traffic light) 0.96(57.0-fire hydrant) 1.00(52.0-stop sign) 0.94(36.0-parking meter) 0.67(263.0-bench) 0.94(267.0-bird) 0.99(136.0-cat) 0.99(153.0-dog) 0.99(207.0-horse) 0.91(241.0-sheep) 0.95(156.0-cow) 1.00(147.0-elephant) 1.00(56.0-bear) 0.98(123.0-zebra) 0.99(126.0-giraffe) 0.47(287.0-backpack) 0.81(316.0-umbrella) 0.52(311.0-handbag) 0.92(152.0-tie) 0.79(165.0-suitcase) 1.00(59.0-frisbee) 0.66(191.0-skis) 0.73(66.0-snowboard) 0.98(154.0-sports ball) 0.93(215.0-kite) 0.88(108.0-baseball bat) 0.94(99.0-baseball glove) 0.98(174.0-skateboard) 0.88(171.0-surfboard) 0.97(104.0-tennis racket) 0.85(653.0-bottle) 0.95(158.0-wine glass) 0.90(616.0-cup) 0.70(153.0-fork) 0.46(265.0-knife) 0.50(175.0-spoon) 0.85(423.0-bowl) 0.70(284.0-banana) 0.61(140.0-apple) 0.82(152.0-sandwich) 0.70(222.0-orange) 0.71(190.0-broccoli) 0.56(209.0-carrot) 0.75(96.0-hot dog) 0.96(180.0-pizza) 0.93(177.0-donut) 0.83(157.0-cake) 0.77(1182.0-chair) 0.81(178.0-couch) 0.73(278.0-potted plant) 0.91(115.0-bed) 0.74(589.0-dining table) 0.94(101.0-toilet) 0.96(140.0-tv) 0.99(138.0-laptop) 0.97(65.0-mouse) 0.76(107.0-remote) 0.97(74.0-keyboard) 0.85(190.0-cell phone) 0.98(43.0-microwave) 0.87(108.0-oven) 0.00(0.0-toaster) 0.86(120.0-sink) 0.98(87.0-refrigerator) 0.36(581.0-book) 0.99(177.0-clock) 0.88(191.0-vase) 0.71(41.0-scissors) 0.97(128.0-teddy bear) 0.00(0.0-hair drier) 0.47(49.0-toothbrush)
2021-10-31 14:29:28,765 - mmdet - INFO - pseudo ig: 0.65(26750.0-person) 0.43(598.0-bicycle) 0.50(4653.0-car) 0.57(940.0-motorcycle) 0.65(441.0-airplane) 0.67(552.0-bus) 0.62(437.0-train) 0.37(1037.0-truck) 0.39(968.0-boat) 0.39(1559.0-traffic light) 0.69(195.0-fire hydrant) 0.61(223.0-stop sign) 0.36(132.0-parking meter) 0.23(924.0-bench) 0.34(982.0-bird) 0.77(475.0-cat) 0.68(492.0-dog) 0.62(695.0-horse) 0.51(1114.0-sheep) 0.52(883.0-cow) 0.75(566.0-elephant) 0.62(153.0-bear) 0.76(573.0-zebra) 0.89(441.0-giraffe) 0.25(971.0-backpack) 0.44(1130.0-umbrella) 0.19(1232.0-handbag) 0.37(535.0-tie) 0.39(613.0-suitcase) 0.61(249.0-frisbee) 0.38(737.0-skis) 0.30(275.0-snowboard) 0.37(764.0-sports ball) 0.53(861.0-kite) 0.36(386.0-baseball bat) 0.39(387.0-baseball glove) 0.52(561.0-skateboard) 0.42(642.0-surfboard) 0.63(494.0-tennis racket) 0.40(2567.0-bottle) 0.49(775.0-wine glass) 0.34(2542.0-cup) 0.27(558.0-fork) 0.19(936.0-knife) 0.19(743.0-spoon) 0.39(1696.0-bowl) 0.27(1164.0-banana) 0.20(559.0-apple) 0.33(480.0-sandwich) 0.25(931.0-orange) 0.42(807.0-broccoli) 0.22(869.0-carrot) 0.35(313.0-hot dog) 0.56(566.0-pizza) 0.38(791.0-donut) 0.37(593.0-cake) 0.30(4214.0-chair) 0.41(610.0-couch) 0.33(931.0-potted plant) 0.47(392.0-bed) 0.34(1513.0-dining table) 0.68(420.0-toilet) 0.63(613.0-tv) 0.58(601.0-laptop) 0.35(287.0-mouse) 0.33(518.0-remote) 0.46(292.0-keyboard) 0.27(724.0-cell phone) 0.59(145.0-microwave) 0.35(421.0-oven) 0.00(0.0-toaster) 0.43(593.0-sink) 0.43(261.0-refrigerator) 0.19(1880.0-book) 0.58(612.0-clock) 0.39(783.0-vase) 0.20(150.0-scissors) 0.47(482.0-teddy bear) 0.00(0.0-hair drier) 0.15(193.0-toothbrush)
2021-10-31 14:29:28,765 - mmdet - INFO - pseudo gt: 35866.0 912.0 6033.0 1299.0 631.0 912.0 621.0 1290.0 1284.0 1760.0 265.0 281.0 178.0 1381.0 1332.0 647.0 787.0 958.0 1235.0 1006.0 755.0 182.0 754.0 640.0 1196.0 1583.0 1680.0 837.0 963.0 341.0 974.0 337.0 804.0 1316.0 441.0 529.0 799.0 716.0 640.0 3352.0 1077.0 2652.0 681.0 1190.0 820.0 1901.0 1218.0 757.0 551.0 885.0 1016.0 1002.0 393.0 760.0 1009.0 804.0 5449.0 818.0 1229.0 538.0 2183.0 570.0 817.0 741.0 318.0 751.0 397.0 908.0 235.0 462.0 31.0 730.0 374.0 3273.0 818.0 890.0 154.0 542.0 22.0 257.0
2021-10-31 14:29:28,766 - mmdet - INFO - pseudo mining: 6028.0 22.0 599.0 71.0 43.0 116.0 44.0 7.0 34.0 186.0 74.0 132.0 3.0 3.0 33.0 69.0 55.0 88.0 237.0 75.0 198.0 24.0 258.0 268.0 1.0 60.0 0.0 41.0 9.0 90.0 6.0 0.0 226.0 253.0 17.0 81.0 61.0 19.0 122.0 213.0 54.0 146.0 0.0 1.0 0.0 67.0 17.0 0.0 2.0 10.0 35.0 14.0 0.0 62.0 68.0 4.0 15.0 5.0 24.0 0.0 19.0 143.0 172.0 95.0 65.0 14.0 29.0 25.0 17.0 6.0 0.0 69.0 11.0 2.0 361.0 50.0 0.0 25.0 0.0 0.0
2021-10-31 14:30:26,066 - mmdet - INFO - Evaluating bbox...
2021-10-31 14:31:37,466 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.428 | bicycle      | 0.177 | car            | 0.328 |
| motorcycle    | 0.268 | airplane     | 0.442 | bus            | 0.487 |
| train         | 0.436 | truck        | 0.207 | boat           | 0.139 |
| traffic light | 0.214 | fire hydrant | 0.503 | stop sign      | 0.523 |
| parking meter | 0.393 | bench        | 0.138 | bird           | 0.229 |
| cat           | 0.451 | dog          | 0.387 | horse          | 0.373 |
| sheep         | 0.322 | cow          | 0.337 | elephant       | 0.475 |
| bear          | 0.521 | zebra        | 0.491 | giraffe        | 0.525 |
| backpack      | 0.082 | umbrella     | 0.209 | handbag        | 0.055 |
| tie           | 0.188 | suitcase     | 0.135 | frisbee        | 0.523 |
| skis          | 0.126 | snowboard    | 0.135 | sports ball    | 0.348 |
| kite          | 0.275 | baseball bat | 0.148 | baseball glove | 0.261 |
| skateboard    | 0.304 | surfboard    | 0.187 | tennis racket  | 0.298 |
| bottle        | 0.269 | wine glass   | 0.211 | cup            | 0.296 |
| fork          | 0.109 | knife        | 0.051 | spoon          | 0.047 |
| bowl          | 0.318 | banana       | 0.139 | apple          | 0.083 |
| sandwich      | 0.211 | orange       | 0.236 | broccoli       | 0.140 |
| carrot        | 0.100 | hot dog      | 0.134 | pizza          | 0.341 |
| donut         | 0.247 | cake         | 0.178 | chair          | 0.141 |
| couch         | 0.241 | potted plant | 0.130 | bed            | 0.274 |
| dining table  | 0.156 | toilet       | 0.424 | tv             | 0.401 |
| laptop        | 0.401 | mouse        | 0.433 | remote         | 0.127 |
| keyboard      | 0.303 | cell phone   | 0.224 | microwave      | 0.330 |
| oven          | 0.187 | toaster      | 0.220 | sink           | 0.207 |
| refrigerator  | 0.324 | book         | 0.040 | clock          | 0.403 |
| vase          | 0.232 | scissors     | 0.092 | teddy bear     | 0.289 |
| hair drier    | 0.000 | toothbrush   | 0.037 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 14:32:33,419 - mmdet - INFO - Evaluating bbox...
2021-10-31 14:33:47,751 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.448 | bicycle      | 0.208 | car            | 0.354 |
| motorcycle    | 0.305 | airplane     | 0.478 | bus            | 0.517 |
| train         | 0.455 | truck        | 0.214 | boat           | 0.168 |
| traffic light | 0.232 | fire hydrant | 0.521 | stop sign      | 0.548 |
| parking meter | 0.414 | bench        | 0.148 | bird           | 0.249 |
| cat           | 0.495 | dog          | 0.441 | horse          | 0.439 |
| sheep         | 0.379 | cow          | 0.416 | elephant       | 0.506 |
| bear          | 0.566 | zebra        | 0.521 | giraffe        | 0.542 |
| backpack      | 0.091 | umbrella     | 0.242 | handbag        | 0.064 |
| tie           | 0.197 | suitcase     | 0.167 | frisbee        | 0.535 |
| skis          | 0.133 | snowboard    | 0.153 | sports ball    | 0.383 |
| kite          | 0.300 | baseball bat | 0.151 | baseball glove | 0.273 |
| skateboard    | 0.334 | surfboard    | 0.213 | tennis racket  | 0.322 |
| bottle        | 0.298 | wine glass   | 0.260 | cup            | 0.321 |
| fork          | 0.137 | knife        | 0.054 | spoon          | 0.061 |
| bowl          | 0.343 | banana       | 0.153 | apple          | 0.101 |
| sandwich      | 0.230 | orange       | 0.250 | broccoli       | 0.176 |
| carrot        | 0.100 | hot dog      | 0.128 | pizza          | 0.400 |
| donut         | 0.300 | cake         | 0.203 | chair          | 0.164 |
| couch         | 0.278 | potted plant | 0.155 | bed            | 0.271 |
| dining table  | 0.162 | toilet       | 0.464 | tv             | 0.445 |
| laptop        | 0.447 | mouse        | 0.482 | remote         | 0.157 |
| keyboard      | 0.351 | cell phone   | 0.243 | microwave      | 0.371 |
| oven          | 0.213 | toaster      | 0.095 | sink           | 0.239 |
| refrigerator  | 0.347 | book         | 0.055 | clock          | 0.408 |
| vase          | 0.276 | scissors     | 0.134 | teddy bear     | 0.317 |
| hair drier    | 0.000 | toothbrush   | 0.074 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 14:35:17,276 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 14:35:17,276 - mmdet - INFO - Iter [4000/40000]	lr: 2.000e-02, eta: 18:32:30, time: 1.685, data_time: 0.030, memory: 26481, bbox_mAP: 0.2850, bbox_mAP_50: 0.4810, bbox_mAP_75: 0.2970, bbox_mAP_s: 0.1630, bbox_mAP_m: 0.3150, bbox_mAP_l: 0.3660, bbox_mAP_copypaste: 0.285 0.481 0.297 0.163 0.315 0.366, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0524, loss_cls: 0.2571, acc: 91.7325, loss_bbox: 0.2822, loss_rpn_cls_unlabeled: 0.0944, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.2036, acc_unlabeled: 91.6245, loss_bbox_unlabeled: 0.1829, losses_cls_ig_unlabeled: 0.1836, pseudo_num: 1.4906, pseudo_num_ig: 5.4972, pseudo_num_mining: 0.6972, pseudo_num(acc): 0.8685, pseudo_num ig(acc): 0.4757, loss: 1.4034
2021-10-31 14:36:40,672 - mmdet - INFO - Iter [4050/40000]	lr: 2.000e-02, eta: 19:20:54, time: 8.607, data_time: 6.968, memory: 26481, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0532, loss_cls: 0.2495, acc: 91.9269, loss_bbox: 0.2738, loss_rpn_cls_unlabeled: 0.0976, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1972, acc_unlabeled: 91.6708, loss_bbox_unlabeled: 0.1849, losses_cls_ig_unlabeled: 0.1861, pseudo_num: 1.4919, pseudo_num_ig: 5.4987, pseudo_num_mining: 0.6981, pseudo_num(acc): 0.8684, pseudo_num ig(acc): 0.4757, loss: 1.3840
2021-10-31 14:38:05,847 - mmdet - INFO - Iter [4100/40000]	lr: 2.000e-02, eta: 19:17:34, time: 1.703, data_time: 0.027, memory: 26481, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0555, loss_cls: 0.2576, acc: 91.7130, loss_bbox: 0.2848, loss_rpn_cls_unlabeled: 0.0978, loss_rpn_bbox_unlabeled: 0.0997, loss_cls_unlabeled: 0.1933, acc_unlabeled: 91.6610, loss_bbox_unlabeled: 0.1705, losses_cls_ig_unlabeled: 0.1892, pseudo_num: 1.4926, pseudo_num_ig: 5.5008, pseudo_num_mining: 0.6993, pseudo_num(acc): 0.8684, pseudo_num ig(acc): 0.4758, loss: 1.3941
2021-10-31 14:39:31,229 - mmdet - INFO - Iter [4150/40000]	lr: 2.000e-02, eta: 19:14:19, time: 1.706, data_time: 0.028, memory: 26481, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0534, loss_cls: 0.2574, acc: 91.6937, loss_bbox: 0.2824, loss_rpn_cls_unlabeled: 0.0931, loss_rpn_bbox_unlabeled: 0.1040, loss_cls_unlabeled: 0.1924, acc_unlabeled: 91.7816, loss_bbox_unlabeled: 0.1711, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4922, pseudo_num_ig: 5.4997, pseudo_num_mining: 0.7003, pseudo_num(acc): 0.8684, pseudo_num ig(acc): 0.4759, loss: 1.3802
2021-10-31 14:40:57,603 - mmdet - INFO - Iter [4200/40000]	lr: 2.000e-02, eta: 19:11:15, time: 1.727, data_time: 0.031, memory: 26481, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0553, loss_cls: 0.2660, acc: 91.5188, loss_bbox: 0.2854, loss_rpn_cls_unlabeled: 0.0967, loss_rpn_bbox_unlabeled: 0.0983, loss_cls_unlabeled: 0.1930, acc_unlabeled: 91.7488, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1836, pseudo_num: 1.4919, pseudo_num_ig: 5.4994, pseudo_num_mining: 0.7011, pseudo_num(acc): 0.8685, pseudo_num ig(acc): 0.4761, loss: 1.3982
2021-10-31 14:42:22,226 - mmdet - INFO - Iter [4250/40000]	lr: 2.000e-02, eta: 19:08:00, time: 1.695, data_time: 0.031, memory: 26481, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0536, loss_cls: 0.2514, acc: 91.9067, loss_bbox: 0.2754, loss_rpn_cls_unlabeled: 0.1007, loss_rpn_bbox_unlabeled: 0.1020, loss_cls_unlabeled: 0.1937, acc_unlabeled: 91.7596, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1846, pseudo_num: 1.4921, pseudo_num_ig: 5.5014, pseudo_num_mining: 0.7029, pseudo_num(acc): 0.8686, pseudo_num ig(acc): 0.4763, loss: 1.3831
2021-10-31 14:43:48,686 - mmdet - INFO - Iter [4300/40000]	lr: 2.000e-02, eta: 19:05:02, time: 1.729, data_time: 0.030, memory: 26482, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0566, loss_cls: 0.2611, acc: 91.6353, loss_bbox: 0.2838, loss_rpn_cls_unlabeled: 0.0921, loss_rpn_bbox_unlabeled: 0.0985, loss_cls_unlabeled: 0.1925, acc_unlabeled: 91.9619, loss_bbox_unlabeled: 0.1722, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4928, pseudo_num_ig: 5.5026, pseudo_num_mining: 0.7047, pseudo_num(acc): 0.8685, pseudo_num ig(acc): 0.4765, loss: 1.3812
2021-10-31 14:45:13,530 - mmdet - INFO - Iter [4350/40000]	lr: 2.000e-02, eta: 19:01:52, time: 1.696, data_time: 0.029, memory: 26482, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0544, loss_cls: 0.2645, acc: 91.4420, loss_bbox: 0.2894, loss_rpn_cls_unlabeled: 0.0945, loss_rpn_bbox_unlabeled: 0.1003, loss_cls_unlabeled: 0.1949, acc_unlabeled: 91.5886, loss_bbox_unlabeled: 0.1766, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4922, pseudo_num_ig: 5.5017, pseudo_num_mining: 0.7058, pseudo_num(acc): 0.8687, pseudo_num ig(acc): 0.4765, loss: 1.4027
2021-10-31 14:46:40,209 - mmdet - INFO - Iter [4400/40000]	lr: 2.000e-02, eta: 18:59:00, time: 1.734, data_time: 0.029, memory: 26482, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0541, loss_cls: 0.2627, acc: 91.5956, loss_bbox: 0.2818, loss_rpn_cls_unlabeled: 0.0945, loss_rpn_bbox_unlabeled: 0.1009, loss_cls_unlabeled: 0.1944, acc_unlabeled: 91.4669, loss_bbox_unlabeled: 0.1803, losses_cls_ig_unlabeled: 0.1860, pseudo_num: 1.4920, pseudo_num_ig: 5.5018, pseudo_num_mining: 0.7068, pseudo_num(acc): 0.8687, pseudo_num ig(acc): 0.4766, loss: 1.4017
2021-10-31 14:48:04,641 - mmdet - INFO - Iter [4450/40000]	lr: 2.000e-02, eta: 18:55:52, time: 1.688, data_time: 0.030, memory: 26482, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0553, loss_cls: 0.2646, acc: 91.5302, loss_bbox: 0.2865, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1994, acc_unlabeled: 91.5601, loss_bbox_unlabeled: 0.1774, losses_cls_ig_unlabeled: 0.1931, pseudo_num: 1.4920, pseudo_num_ig: 5.5036, pseudo_num_mining: 0.7081, pseudo_num(acc): 0.8688, pseudo_num ig(acc): 0.4767, loss: 1.4067
2021-10-31 14:49:28,722 - mmdet - INFO - pseudo pos: 0.98(8426.0-person) 0.91(205.0-bicycle) 0.94(1541.0-car) 0.99(295.0-motorcycle) 0.99(129.0-airplane) 0.99(166.0-bus) 0.99(175.0-train) 0.73(339.0-truck) 0.74(261.0-boat) 0.92(435.0-traffic light) 0.97(60.0-fire hydrant) 1.00(61.0-stop sign) 0.95(41.0-parking meter) 0.68(309.0-bench) 0.90(314.0-bird) 0.99(150.0-cat) 0.98(170.0-dog) 0.99(233.0-horse) 0.91(255.0-sheep) 0.95(197.0-cow) 1.00(163.0-elephant) 1.00(60.0-bear) 0.98(143.0-zebra) 0.99(152.0-giraffe) 0.49(319.0-backpack) 0.81(367.0-umbrella) 0.52(347.0-handbag) 0.93(162.0-tie) 0.79(182.0-suitcase) 1.00(66.0-frisbee) 0.67(217.0-skis) 0.75(77.0-snowboard) 0.98(168.0-sports ball) 0.93(231.0-kite) 0.88(114.0-baseball bat) 0.95(116.0-baseball glove) 0.98(192.0-skateboard) 0.89(194.0-surfboard) 0.97(117.0-tennis racket) 0.85(745.0-bottle) 0.96(181.0-wine glass) 0.90(699.0-cup) 0.70(171.0-fork) 0.47(296.0-knife) 0.49(200.0-spoon) 0.84(487.0-bowl) 0.70(300.0-banana) 0.56(167.0-apple) 0.82(172.0-sandwich) 0.71(248.0-orange) 0.71(224.0-broccoli) 0.53(251.0-carrot) 0.75(118.0-hot dog) 0.95(200.0-pizza) 0.93(199.0-donut) 0.85(181.0-cake) 0.78(1301.0-chair) 0.83(197.0-couch) 0.74(311.0-potted plant) 0.92(123.0-bed) 0.74(665.0-dining table) 0.95(111.0-toilet) 0.96(162.0-tv) 0.98(158.0-laptop) 0.96(77.0-mouse) 0.77(126.0-remote) 0.98(86.0-keyboard) 0.85(216.0-cell phone) 0.98(52.0-microwave) 0.87(124.0-oven) 0.00(0.0-toaster) 0.84(147.0-sink) 0.98(91.0-refrigerator) 0.36(654.0-book) 0.99(194.0-clock) 0.89(218.0-vase) 0.73(44.0-scissors) 0.95(152.0-teddy bear) 0.00(0.0-hair drier) 0.45(64.0-toothbrush)
2021-10-31 14:49:28,722 - mmdet - INFO - pseudo ig: 0.65(30152.0-person) 0.43(676.0-bicycle) 0.49(5223.0-car) 0.57(1046.0-motorcycle) 0.66(502.0-airplane) 0.66(606.0-bus) 0.61(496.0-train) 0.36(1169.0-truck) 0.37(1150.0-boat) 0.39(1779.0-traffic light) 0.69(218.0-fire hydrant) 0.61(253.0-stop sign) 0.38(156.0-parking meter) 0.22(1055.0-bench) 0.34(1137.0-bird) 0.77(547.0-cat) 0.68(570.0-dog) 0.60(769.0-horse) 0.50(1250.0-sheep) 0.52(1025.0-cow) 0.77(664.0-elephant) 0.64(174.0-bear) 0.76(666.0-zebra) 0.90(510.0-giraffe) 0.24(1075.0-backpack) 0.42(1265.0-umbrella) 0.20(1382.0-handbag) 0.38(614.0-tie) 0.39(667.0-suitcase) 0.62(292.0-frisbee) 0.37(830.0-skis) 0.29(312.0-snowboard) 0.37(829.0-sports ball) 0.53(981.0-kite) 0.37(430.0-baseball bat) 0.39(431.0-baseball glove) 0.53(627.0-skateboard) 0.42(746.0-surfboard) 0.63(547.0-tennis racket) 0.41(2969.0-bottle) 0.49(857.0-wine glass) 0.35(2860.0-cup) 0.28(658.0-fork) 0.19(1006.0-knife) 0.19(838.0-spoon) 0.39(1941.0-bowl) 0.28(1223.0-banana) 0.20(596.0-apple) 0.33(539.0-sandwich) 0.25(1016.0-orange) 0.41(928.0-broccoli) 0.23(979.0-carrot) 0.33(368.0-hot dog) 0.54(645.0-pizza) 0.39(896.0-donut) 0.38(692.0-cake) 0.30(4725.0-chair) 0.41(690.0-couch) 0.33(1057.0-potted plant) 0.47(431.0-bed) 0.35(1738.0-dining table) 0.67(467.0-toilet) 0.63(715.0-tv) 0.58(663.0-laptop) 0.35(320.0-mouse) 0.33(628.0-remote) 0.46(329.0-keyboard) 0.28(799.0-cell phone) 0.55(166.0-microwave) 0.36(463.0-oven) 0.00(0.0-toaster) 0.43(677.0-sink) 0.45(291.0-refrigerator) 0.19(2190.0-book) 0.58(674.0-clock) 0.38(872.0-vase) 0.21(160.0-scissors) 0.47(554.0-teddy bear) 0.00(0.0-hair drier) 0.15(224.0-toothbrush)
2021-10-31 14:49:28,722 - mmdet - INFO - pseudo gt: 40292.0 1023.0 6714.0 1450.0 724.0 990.0 693.0 1436.0 1465.0 2038.0 294.0 321.0 217.0 1529.0 1543.0 720.0 879.0 1051.0 1343.0 1169.0 878.0 206.0 874.0 741.0 1362.0 1730.0 1862.0 978.0 1029.0 394.0 1106.0 390.0 886.0 1480.0 486.0 587.0 903.0 806.0 721.0 3912.0 1204.0 3014.0 793.0 1325.0 925.0 2133.0 1342.0 818.0 648.0 982.0 1144.0 1128.0 431.0 861.0 1117.0 929.0 6104.0 917.0 1398.0 595.0 2449.0 623.0 921.0 809.0 350.0 882.0 437.0 1028.0 263.0 511.0 34.0 812.0 423.0 3682.0 916.0 1008.0 169.0 621.0 25.0 291.0
2021-10-31 14:49:28,722 - mmdet - INFO - pseudo mining: 6890.0 24.0 696.0 79.0 52.0 127.0 52.0 7.0 43.0 218.0 86.0 154.0 6.0 4.0 42.0 80.0 62.0 98.0 272.0 88.0 240.0 30.0 306.0 305.0 1.0 67.0 0.0 48.0 9.0 109.0 6.0 0.0 243.0 282.0 25.0 89.0 82.0 21.0 140.0 245.0 62.0 168.0 1.0 1.0 0.0 87.0 17.0 0.0 2.0 11.0 36.0 18.0 1.0 69.0 78.0 4.0 24.0 5.0 30.0 0.0 23.0 157.0 202.0 103.0 73.0 17.0 31.0 28.0 19.0 6.0 0.0 72.0 14.0 3.0 401.0 53.0 0.0 26.0 0.0 0.0
2021-10-31 14:49:30,252 - mmdet - INFO - Iter [4500/40000]	lr: 2.000e-02, eta: 18:52:55, time: 1.713, data_time: 0.029, memory: 26482, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0518, loss_cls: 0.2595, acc: 91.6217, loss_bbox: 0.2819, loss_rpn_cls_unlabeled: 0.1028, loss_rpn_bbox_unlabeled: 0.0978, loss_cls_unlabeled: 0.2045, acc_unlabeled: 91.5327, loss_bbox_unlabeled: 0.1855, losses_cls_ig_unlabeled: 0.1878, pseudo_num: 1.4923, pseudo_num_ig: 5.5027, pseudo_num_mining: 0.7093, pseudo_num(acc): 0.8688, pseudo_num ig(acc): 0.4767, loss: 1.4136
2021-10-31 14:50:54,035 - mmdet - INFO - Iter [4550/40000]	lr: 2.000e-02, eta: 18:49:46, time: 1.676, data_time: 0.028, memory: 26482, loss_rpn_cls: 0.0425, loss_rpn_bbox: 0.0512, loss_cls: 0.2530, acc: 91.8373, loss_bbox: 0.2773, loss_rpn_cls_unlabeled: 0.0939, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1892, acc_unlabeled: 91.9347, loss_bbox_unlabeled: 0.1724, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4924, pseudo_num_ig: 5.5003, pseudo_num_mining: 0.7102, pseudo_num(acc): 0.8689, pseudo_num ig(acc): 0.4768, loss: 1.3523
2021-10-31 14:52:19,548 - mmdet - INFO - Iter [4600/40000]	lr: 2.000e-02, eta: 18:46:52, time: 1.707, data_time: 0.029, memory: 26482, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0555, loss_cls: 0.2585, acc: 91.5730, loss_bbox: 0.2853, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1904, acc_unlabeled: 91.9354, loss_bbox_unlabeled: 0.1784, losses_cls_ig_unlabeled: 0.1817, pseudo_num: 1.4924, pseudo_num_ig: 5.4976, pseudo_num_mining: 0.7107, pseudo_num(acc): 0.8690, pseudo_num ig(acc): 0.4769, loss: 1.3830
2021-10-31 14:53:44,087 - mmdet - INFO - Iter [4650/40000]	lr: 2.000e-02, eta: 18:43:54, time: 1.694, data_time: 0.032, memory: 26482, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0543, loss_cls: 0.2529, acc: 91.7969, loss_bbox: 0.2748, loss_rpn_cls_unlabeled: 0.0938, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.1981, acc_unlabeled: 91.8348, loss_bbox_unlabeled: 0.1810, losses_cls_ig_unlabeled: 0.1849, pseudo_num: 1.4923, pseudo_num_ig: 5.4976, pseudo_num_mining: 0.7119, pseudo_num(acc): 0.8690, pseudo_num ig(acc): 0.4770, loss: 1.3811
2021-10-31 14:55:09,531 - mmdet - INFO - Iter [4700/40000]	lr: 2.000e-02, eta: 18:41:03, time: 1.705, data_time: 0.029, memory: 26482, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0529, loss_cls: 0.2596, acc: 91.5880, loss_bbox: 0.2847, loss_rpn_cls_unlabeled: 0.0944, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1972, acc_unlabeled: 91.7014, loss_bbox_unlabeled: 0.1790, losses_cls_ig_unlabeled: 0.1823, pseudo_num: 1.4929, pseudo_num_ig: 5.4986, pseudo_num_mining: 0.7131, pseudo_num(acc): 0.8691, pseudo_num ig(acc): 0.4770, loss: 1.3902
2021-10-31 14:56:36,226 - mmdet - INFO - Iter [4750/40000]	lr: 2.000e-02, eta: 18:38:25, time: 1.738, data_time: 0.033, memory: 26482, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0555, loss_cls: 0.2698, acc: 91.3717, loss_bbox: 0.2929, loss_rpn_cls_unlabeled: 0.0965, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.2086, acc_unlabeled: 91.3705, loss_bbox_unlabeled: 0.1877, losses_cls_ig_unlabeled: 0.1928, pseudo_num: 1.4931, pseudo_num_ig: 5.4979, pseudo_num_mining: 0.7142, pseudo_num(acc): 0.8694, pseudo_num ig(acc): 0.4772, loss: 1.4493
2021-10-31 14:58:01,133 - mmdet - INFO - Iter [4800/40000]	lr: 2.000e-02, eta: 18:35:32, time: 1.691, data_time: 0.029, memory: 26482, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0540, loss_cls: 0.2626, acc: 91.6460, loss_bbox: 0.2818, loss_rpn_cls_unlabeled: 0.0947, loss_rpn_bbox_unlabeled: 0.0989, loss_cls_unlabeled: 0.1860, acc_unlabeled: 91.8800, loss_bbox_unlabeled: 0.1676, losses_cls_ig_unlabeled: 0.1845, pseudo_num: 1.4937, pseudo_num_ig: 5.4990, pseudo_num_mining: 0.7155, pseudo_num(acc): 0.8695, pseudo_num ig(acc): 0.4772, loss: 1.3733
2021-10-31 14:59:26,584 - mmdet - INFO - Iter [4850/40000]	lr: 2.000e-02, eta: 18:32:49, time: 1.714, data_time: 0.035, memory: 26482, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0581, loss_cls: 0.2645, acc: 91.4580, loss_bbox: 0.2905, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.2010, acc_unlabeled: 91.7418, loss_bbox_unlabeled: 0.1811, losses_cls_ig_unlabeled: 0.1849, pseudo_num: 1.4937, pseudo_num_ig: 5.4986, pseudo_num_mining: 0.7166, pseudo_num(acc): 0.8696, pseudo_num ig(acc): 0.4772, loss: 1.4172
2021-10-31 15:00:50,438 - mmdet - INFO - Iter [4900/40000]	lr: 2.000e-02, eta: 18:29:54, time: 1.675, data_time: 0.032, memory: 26482, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0525, loss_cls: 0.2541, acc: 91.8442, loss_bbox: 0.2790, loss_rpn_cls_unlabeled: 0.0994, loss_rpn_bbox_unlabeled: 0.0989, loss_cls_unlabeled: 0.1896, acc_unlabeled: 91.9219, loss_bbox_unlabeled: 0.1764, losses_cls_ig_unlabeled: 0.1768, pseudo_num: 1.4945, pseudo_num_ig: 5.4978, pseudo_num_mining: 0.7176, pseudo_num(acc): 0.8697, pseudo_num ig(acc): 0.4773, loss: 1.3707
2021-10-31 15:02:15,613 - mmdet - INFO - Iter [4950/40000]	lr: 2.000e-02, eta: 18:27:11, time: 1.704, data_time: 0.030, memory: 26482, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0551, loss_cls: 0.2607, acc: 91.5616, loss_bbox: 0.2858, loss_rpn_cls_unlabeled: 0.1007, loss_rpn_bbox_unlabeled: 0.0990, loss_cls_unlabeled: 0.2012, acc_unlabeled: 91.6582, loss_bbox_unlabeled: 0.1849, losses_cls_ig_unlabeled: 0.1855, pseudo_num: 1.4955, pseudo_num_ig: 5.4971, pseudo_num_mining: 0.7183, pseudo_num(acc): 0.8697, pseudo_num ig(acc): 0.4773, loss: 1.4172
2021-10-31 15:03:39,460 - mmdet - INFO - pseudo pos: 0.98(9368.0-person) 0.92(225.0-bicycle) 0.94(1742.0-car) 0.99(322.0-motorcycle) 0.99(139.0-airplane) 0.99(192.0-bus) 0.99(194.0-train) 0.74(380.0-truck) 0.72(315.0-boat) 0.92(487.0-traffic light) 0.97(63.0-fire hydrant) 1.00(61.0-stop sign) 0.95(43.0-parking meter) 0.68(329.0-bench) 0.91(344.0-bird) 0.98(169.0-cat) 0.98(185.0-dog) 0.99(255.0-horse) 0.92(273.0-sheep) 0.95(224.0-cow) 1.00(173.0-elephant) 1.00(64.0-bear) 0.98(165.0-zebra) 0.99(182.0-giraffe) 0.50(349.0-backpack) 0.81(441.0-umbrella) 0.53(392.0-handbag) 0.93(180.0-tie) 0.78(198.0-suitcase) 1.00(71.0-frisbee) 0.68(246.0-skis) 0.76(84.0-snowboard) 0.98(178.0-sports ball) 0.91(274.0-kite) 0.89(128.0-baseball bat) 0.95(129.0-baseball glove) 0.98(204.0-skateboard) 0.89(216.0-surfboard) 0.98(132.0-tennis racket) 0.85(803.0-bottle) 0.96(210.0-wine glass) 0.90(789.0-cup) 0.70(181.0-fork) 0.48(314.0-knife) 0.48(230.0-spoon) 0.84(534.0-bowl) 0.69(339.0-banana) 0.52(192.0-apple) 0.83(192.0-sandwich) 0.72(259.0-orange) 0.72(268.0-broccoli) 0.55(291.0-carrot) 0.77(125.0-hot dog) 0.95(219.0-pizza) 0.94(220.0-donut) 0.85(197.0-cake) 0.78(1434.0-chair) 0.85(234.0-couch) 0.74(351.0-potted plant) 0.92(134.0-bed) 0.74(733.0-dining table) 0.95(118.0-toilet) 0.97(187.0-tv) 0.97(175.0-laptop) 0.97(91.0-mouse) 0.76(133.0-remote) 0.98(97.0-keyboard) 0.86(235.0-cell phone) 0.97(59.0-microwave) 0.88(140.0-oven) 0.00(0.0-toaster) 0.84(178.0-sink) 0.98(95.0-refrigerator) 0.35(736.0-book) 0.99(218.0-clock) 0.88(249.0-vase) 0.75(48.0-scissors) 0.94(167.0-teddy bear) 0.00(0.0-hair drier) 0.48(71.0-toothbrush)
2021-10-31 15:03:39,461 - mmdet - INFO - pseudo ig: 0.65(33389.0-person) 0.43(748.0-bicycle) 0.49(5882.0-car) 0.58(1143.0-motorcycle) 0.67(554.0-airplane) 0.66(704.0-bus) 0.60(576.0-train) 0.36(1319.0-truck) 0.36(1351.0-boat) 0.40(1939.0-traffic light) 0.71(242.0-fire hydrant) 0.60(278.0-stop sign) 0.39(166.0-parking meter) 0.23(1159.0-bench) 0.35(1217.0-bird) 0.77(594.0-cat) 0.68(622.0-dog) 0.60(844.0-horse) 0.50(1442.0-sheep) 0.52(1127.0-cow) 0.76(707.0-elephant) 0.63(195.0-bear) 0.77(727.0-zebra) 0.89(582.0-giraffe) 0.24(1175.0-backpack) 0.42(1438.0-umbrella) 0.20(1584.0-handbag) 0.40(678.0-tie) 0.40(734.0-suitcase) 0.60(316.0-frisbee) 0.37(894.0-skis) 0.30(338.0-snowboard) 0.37(938.0-sports ball) 0.52(1107.0-kite) 0.37(468.0-baseball bat) 0.39(492.0-baseball glove) 0.54(707.0-skateboard) 0.42(831.0-surfboard) 0.63(608.0-tennis racket) 0.41(3233.0-bottle) 0.49(940.0-wine glass) 0.35(3140.0-cup) 0.28(732.0-fork) 0.19(1075.0-knife) 0.18(926.0-spoon) 0.39(2179.0-bowl) 0.28(1368.0-banana) 0.20(706.0-apple) 0.34(626.0-sandwich) 0.26(1077.0-orange) 0.40(1082.0-broccoli) 0.22(1096.0-carrot) 0.33(390.0-hot dog) 0.54(718.0-pizza) 0.39(1036.0-donut) 0.38(784.0-cake) 0.30(5177.0-chair) 0.40(775.0-couch) 0.34(1176.0-potted plant) 0.47(468.0-bed) 0.35(1924.0-dining table) 0.67(525.0-toilet) 0.62(798.0-tv) 0.58(739.0-laptop) 0.34(355.0-mouse) 0.33(697.0-remote) 0.47(373.0-keyboard) 0.28(884.0-cell phone) 0.57(187.0-microwave) 0.35(511.0-oven) 0.00(0.0-toaster) 0.42(765.0-sink) 0.47(319.0-refrigerator) 0.18(2493.0-book) 0.58(779.0-clock) 0.38(990.0-vase) 0.22(173.0-scissors) 0.48(607.0-teddy bear) 0.00(0.0-hair drier) 0.15(234.0-toothbrush)
2021-10-31 15:03:39,461 - mmdet - INFO - pseudo gt: 44717.0 1167.0 7563.0 1640.0 792.0 1149.0 783.0 1631.0 1659.0 2301.0 327.0 348.0 232.0 1678.0 1685.0 787.0 953.0 1136.0 1563.0 1309.0 923.0 220.0 967.0 847.0 1512.0 1945.0 2069.0 1084.0 1159.0 432.0 1205.0 435.0 998.0 1662.0 537.0 653.0 997.0 888.0 812.0 4249.0 1343.0 3336.0 876.0 1415.0 1021.0 2380.0 1549.0 929.0 750.0 1104.0 1339.0 1228.0 493.0 938.0 1238.0 1024.0 6722.0 1022.0 1563.0 666.0 2708.0 708.0 1019.0 897.0 392.0 954.0 492.0 1126.0 289.0 577.0 38.0 900.0 463.0 4020.0 1038.0 1119.0 193.0 684.0 27.0 338.0
2021-10-31 15:03:39,461 - mmdet - INFO - pseudo mining: 7736.0 25.0 783.0 91.0 61.0 147.0 63.0 7.0 46.0 246.0 104.0 174.0 6.0 5.0 47.0 88.0 67.0 110.0 340.0 93.0 258.0 36.0 341.0 340.0 1.0 74.0 0.0 56.0 13.0 117.0 9.0 0.0 278.0 321.0 32.0 97.0 99.0 23.0 161.0 274.0 69.0 190.0 1.0 1.0 0.0 103.0 18.0 3.0 8.0 12.0 39.0 19.0 1.0 81.0 93.0 6.0 28.0 5.0 42.0 0.0 26.0 187.0 226.0 113.0 81.0 22.0 35.0 37.0 25.0 8.0 0.0 76.0 15.0 3.0 481.0 65.0 0.0 32.0 0.0 0.0
2021-10-31 15:05:10,677 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 15:05:10,677 - mmdet - INFO - Iter [5000/40000]	lr: 2.000e-02, eta: 18:24:31, time: 1.709, data_time: 0.031, memory: 26482, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0557, loss_cls: 0.2615, acc: 91.5739, loss_bbox: 0.2872, loss_rpn_cls_unlabeled: 0.0926, loss_rpn_bbox_unlabeled: 0.0996, loss_cls_unlabeled: 0.1962, acc_unlabeled: 91.7340, loss_bbox_unlabeled: 0.1776, losses_cls_ig_unlabeled: 0.1855, pseudo_num: 1.4959, pseudo_num_ig: 5.4974, pseudo_num_mining: 0.7193, pseudo_num(acc): 0.8696, pseudo_num ig(acc): 0.4772, loss: 1.4014
2021-10-31 15:06:34,880 - mmdet - INFO - Iter [5050/40000]	lr: 2.000e-02, eta: 18:32:04, time: 3.475, data_time: 1.822, memory: 26482, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0559, loss_cls: 0.2607, acc: 91.5756, loss_bbox: 0.2863, loss_rpn_cls_unlabeled: 0.0960, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1904, acc_unlabeled: 91.6721, loss_bbox_unlabeled: 0.1710, losses_cls_ig_unlabeled: 0.1873, pseudo_num: 1.4954, pseudo_num_ig: 5.4962, pseudo_num_mining: 0.7199, pseudo_num(acc): 0.8696, pseudo_num ig(acc): 0.4773, loss: 1.3912
2021-10-31 15:08:00,338 - mmdet - INFO - Iter [5100/40000]	lr: 2.000e-02, eta: 18:29:20, time: 1.710, data_time: 0.034, memory: 26482, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0527, loss_cls: 0.2574, acc: 91.6890, loss_bbox: 0.2847, loss_rpn_cls_unlabeled: 0.0997, loss_rpn_bbox_unlabeled: 0.1050, loss_cls_unlabeled: 0.1909, acc_unlabeled: 91.6132, loss_bbox_unlabeled: 0.1741, losses_cls_ig_unlabeled: 0.1871, pseudo_num: 1.4951, pseudo_num_ig: 5.4974, pseudo_num_mining: 0.7207, pseudo_num(acc): 0.8696, pseudo_num ig(acc): 0.4773, loss: 1.3951
2021-10-31 15:09:25,105 - mmdet - INFO - Iter [5150/40000]	lr: 2.000e-02, eta: 18:26:34, time: 1.698, data_time: 0.031, memory: 26482, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0529, loss_cls: 0.2582, acc: 91.5916, loss_bbox: 0.2825, loss_rpn_cls_unlabeled: 0.0957, loss_rpn_bbox_unlabeled: 0.1001, loss_cls_unlabeled: 0.2043, acc_unlabeled: 91.4648, loss_bbox_unlabeled: 0.1818, losses_cls_ig_unlabeled: 0.1898, pseudo_num: 1.4950, pseudo_num_ig: 5.4996, pseudo_num_mining: 0.7220, pseudo_num(acc): 0.8698, pseudo_num ig(acc): 0.4773, loss: 1.4081
2021-10-31 15:10:52,360 - mmdet - INFO - Iter [5200/40000]	lr: 2.000e-02, eta: 18:24:04, time: 1.741, data_time: 0.028, memory: 26482, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0531, loss_cls: 0.2571, acc: 91.7914, loss_bbox: 0.2816, loss_rpn_cls_unlabeled: 0.0972, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1913, acc_unlabeled: 91.7405, loss_bbox_unlabeled: 0.1728, losses_cls_ig_unlabeled: 0.1875, pseudo_num: 1.4951, pseudo_num_ig: 5.5020, pseudo_num_mining: 0.7237, pseudo_num(acc): 0.8699, pseudo_num ig(acc): 0.4774, loss: 1.3810
2021-10-31 15:12:18,508 - mmdet - INFO - Iter [5250/40000]	lr: 2.000e-02, eta: 18:21:30, time: 1.727, data_time: 0.033, memory: 26482, loss_rpn_cls: 0.0425, loss_rpn_bbox: 0.0522, loss_cls: 0.2539, acc: 91.7246, loss_bbox: 0.2810, loss_rpn_cls_unlabeled: 0.1022, loss_rpn_bbox_unlabeled: 0.0967, loss_cls_unlabeled: 0.1824, acc_unlabeled: 91.7048, loss_bbox_unlabeled: 0.1686, losses_cls_ig_unlabeled: 0.1846, pseudo_num: 1.4945, pseudo_num_ig: 5.5028, pseudo_num_mining: 0.7246, pseudo_num(acc): 0.8701, pseudo_num ig(acc): 0.4774, loss: 1.3642
2021-10-31 15:13:43,670 - mmdet - INFO - Iter [5300/40000]	lr: 2.000e-02, eta: 18:18:49, time: 1.700, data_time: 0.028, memory: 26482, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0549, loss_cls: 0.2617, acc: 91.5343, loss_bbox: 0.2890, loss_rpn_cls_unlabeled: 0.0938, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1841, acc_unlabeled: 91.8761, loss_bbox_unlabeled: 0.1717, losses_cls_ig_unlabeled: 0.1786, pseudo_num: 1.4939, pseudo_num_ig: 5.5029, pseudo_num_mining: 0.7257, pseudo_num(acc): 0.8703, pseudo_num ig(acc): 0.4774, loss: 1.3744
2021-10-31 15:15:08,141 - mmdet - INFO - Iter [5350/40000]	lr: 2.000e-02, eta: 18:16:06, time: 1.692, data_time: 0.031, memory: 26482, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0529, loss_cls: 0.2546, acc: 91.6947, loss_bbox: 0.2831, loss_rpn_cls_unlabeled: 0.0978, loss_rpn_bbox_unlabeled: 0.1034, loss_cls_unlabeled: 0.1944, acc_unlabeled: 91.5463, loss_bbox_unlabeled: 0.1773, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.4938, pseudo_num_ig: 5.5058, pseudo_num_mining: 0.7270, pseudo_num(acc): 0.8705, pseudo_num ig(acc): 0.4774, loss: 1.3926
2021-10-31 15:16:32,583 - mmdet - INFO - Iter [5400/40000]	lr: 2.000e-02, eta: 18:13:24, time: 1.686, data_time: 0.029, memory: 26482, loss_rpn_cls: 0.0425, loss_rpn_bbox: 0.0523, loss_cls: 0.2500, acc: 91.8688, loss_bbox: 0.2756, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1897, acc_unlabeled: 91.9044, loss_bbox_unlabeled: 0.1788, losses_cls_ig_unlabeled: 0.1746, pseudo_num: 1.4939, pseudo_num_ig: 5.5062, pseudo_num_mining: 0.7278, pseudo_num(acc): 0.8705, pseudo_num ig(acc): 0.4773, loss: 1.3542
2021-10-31 15:17:59,616 - mmdet - INFO - Iter [5450/40000]	lr: 2.000e-02, eta: 18:11:00, time: 1.743, data_time: 0.033, memory: 26482, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0538, loss_cls: 0.2616, acc: 91.5475, loss_bbox: 0.2868, loss_rpn_cls_unlabeled: 0.0930, loss_rpn_bbox_unlabeled: 0.1011, loss_cls_unlabeled: 0.1979, acc_unlabeled: 91.6274, loss_bbox_unlabeled: 0.1838, losses_cls_ig_unlabeled: 0.1817, pseudo_num: 1.4940, pseudo_num_ig: 5.5068, pseudo_num_mining: 0.7285, pseudo_num(acc): 0.8707, pseudo_num ig(acc): 0.4774, loss: 1.4027
2021-10-31 15:19:23,875 - mmdet - INFO - pseudo pos: 0.98(10299.0-person) 0.92(259.0-bicycle) 0.94(1874.0-car) 0.99(339.0-motorcycle) 0.99(159.0-airplane) 1.00(203.0-bus) 0.99(214.0-train) 0.74(414.0-truck) 0.73(353.0-boat) 0.92(533.0-traffic light) 0.97(67.0-fire hydrant) 1.00(70.0-stop sign) 0.95(44.0-parking meter) 0.68(365.0-bench) 0.90(391.0-bird) 0.98(179.0-cat) 0.98(194.0-dog) 0.99(279.0-horse) 0.93(316.0-sheep) 0.95(250.0-cow) 1.00(189.0-elephant) 1.00(73.0-bear) 0.98(181.0-zebra) 0.99(211.0-giraffe) 0.51(372.0-backpack) 0.81(489.0-umbrella) 0.54(420.0-handbag) 0.93(206.0-tie) 0.80(215.0-suitcase) 1.00(74.0-frisbee) 0.68(271.0-skis) 0.75(88.0-snowboard) 0.98(208.0-sports ball) 0.92(317.0-kite) 0.89(136.0-baseball bat) 0.96(138.0-baseball glove) 0.98(231.0-skateboard) 0.90(230.0-surfboard) 0.98(155.0-tennis racket) 0.85(909.0-bottle) 0.96(251.0-wine glass) 0.90(874.0-cup) 0.70(196.0-fork) 0.47(345.0-knife) 0.49(251.0-spoon) 0.85(573.0-bowl) 0.69(347.0-banana) 0.53(206.0-apple) 0.84(215.0-sandwich) 0.73(276.0-orange) 0.72(288.0-broccoli) 0.55(324.0-carrot) 0.78(138.0-hot dog) 0.94(236.0-pizza) 0.94(245.0-donut) 0.85(222.0-cake) 0.79(1550.0-chair) 0.85(259.0-couch) 0.75(382.0-potted plant) 0.92(144.0-bed) 0.73(800.0-dining table) 0.96(135.0-toilet) 0.97(197.0-tv) 0.97(190.0-laptop) 0.97(97.0-mouse) 0.75(149.0-remote) 0.98(102.0-keyboard) 0.85(264.0-cell phone) 0.97(61.0-microwave) 0.89(150.0-oven) 0.00(0.0-toaster) 0.85(205.0-sink) 0.97(106.0-refrigerator) 0.35(810.0-book) 0.99(231.0-clock) 0.88(268.0-vase) 0.76(55.0-scissors) 0.94(188.0-teddy bear) 0.00(0.0-hair drier) 0.47(75.0-toothbrush)
2021-10-31 15:19:23,875 - mmdet - INFO - pseudo ig: 0.65(36987.0-person) 0.43(851.0-bicycle) 0.49(6449.0-car) 0.58(1248.0-motorcycle) 0.67(615.0-airplane) 0.67(767.0-bus) 0.60(621.0-train) 0.37(1424.0-truck) 0.36(1527.0-boat) 0.40(2101.0-traffic light) 0.72(261.0-fire hydrant) 0.59(309.0-stop sign) 0.36(185.0-parking meter) 0.22(1300.0-bench) 0.32(1524.0-bird) 0.76(665.0-cat) 0.68(703.0-dog) 0.60(922.0-horse) 0.52(1617.0-sheep) 0.52(1232.0-cow) 0.76(779.0-elephant) 0.64(212.0-bear) 0.76(799.0-zebra) 0.90(646.0-giraffe) 0.23(1290.0-backpack) 0.41(1733.0-umbrella) 0.20(1747.0-handbag) 0.40(775.0-tie) 0.42(810.0-suitcase) 0.60(356.0-frisbee) 0.36(992.0-skis) 0.29(372.0-snowboard) 0.38(1034.0-sports ball) 0.52(1234.0-kite) 0.37(515.0-baseball bat) 0.40(553.0-baseball glove) 0.54(776.0-skateboard) 0.42(913.0-surfboard) 0.64(676.0-tennis racket) 0.41(3521.0-bottle) 0.47(1064.0-wine glass) 0.35(3443.0-cup) 0.29(804.0-fork) 0.19(1195.0-knife) 0.18(1012.0-spoon) 0.39(2371.0-bowl) 0.28(1487.0-banana) 0.20(772.0-apple) 0.34(695.0-sandwich) 0.26(1166.0-orange) 0.40(1184.0-broccoli) 0.22(1207.0-carrot) 0.33(424.0-hot dog) 0.54(771.0-pizza) 0.39(1100.0-donut) 0.36(894.0-cake) 0.31(5697.0-chair) 0.39(885.0-couch) 0.34(1322.0-potted plant) 0.48(524.0-bed) 0.35(2117.0-dining table) 0.68(564.0-toilet) 0.62(854.0-tv) 0.57(810.0-laptop) 0.35(387.0-mouse) 0.33(775.0-remote) 0.47(406.0-keyboard) 0.27(993.0-cell phone) 0.58(199.0-microwave) 0.35(549.0-oven) 0.00(0.0-toaster) 0.42(827.0-sink) 0.46(357.0-refrigerator) 0.18(2782.0-book) 0.58(849.0-clock) 0.38(1064.0-vase) 0.21(197.0-scissors) 0.47(672.0-teddy bear) 0.00(0.0-hair drier) 0.16(251.0-toothbrush)
2021-10-31 15:19:23,876 - mmdet - INFO - pseudo gt: 49112.0 1323.0 8272.0 1762.0 873.0 1239.0 846.0 1770.0 1852.0 2496.0 362.0 379.0 247.0 1874.0 1940.0 854.0 1054.0 1269.0 1799.0 1421.0 1010.0 247.0 1052.0 950.0 1636.0 2229.0 2237.0 1232.0 1279.0 478.0 1298.0 492.0 1143.0 1858.0 580.0 711.0 1081.0 977.0 933.0 4617.0 1476.0 3707.0 961.0 1520.0 1103.0 2601.0 1673.0 1008.0 862.0 1211.0 1469.0 1371.0 530.0 1023.0 1313.0 1141.0 7409.0 1131.0 1725.0 729.0 2983.0 777.0 1113.0 973.0 424.0 1042.0 526.0 1212.0 321.0 633.0 43.0 986.0 504.0 4447.0 1131.0 1224.0 213.0 747.0 27.0 371.0
2021-10-31 15:19:23,876 - mmdet - INFO - pseudo mining: 8655.0 30.0 847.0 97.0 71.0 167.0 68.0 7.0 52.0 266.0 115.0 190.0 6.0 5.0 57.0 101.0 78.0 126.0 383.0 103.0 292.0 42.0 374.0 379.0 1.0 102.0 0.0 64.0 17.0 136.0 11.0 0.0 308.0 361.0 36.0 120.0 112.0 24.0 190.0 298.0 75.0 212.0 1.0 1.0 0.0 126.0 21.0 10.0 8.0 15.0 39.0 22.0 1.0 88.0 96.0 9.0 33.0 5.0 46.0 2.0 27.0 203.0 252.0 121.0 91.0 23.0 42.0 40.0 29.0 10.0 0.0 80.0 17.0 3.0 529.0 72.0 0.0 35.0 0.0 0.0
2021-10-31 15:19:25,472 - mmdet - INFO - Iter [5500/40000]	lr: 2.000e-02, eta: 18:08:29, time: 1.715, data_time: 0.030, memory: 26482, loss_rpn_cls: 0.0437, loss_rpn_bbox: 0.0538, loss_cls: 0.2609, acc: 91.5520, loss_bbox: 0.2853, loss_rpn_cls_unlabeled: 0.0977, loss_rpn_bbox_unlabeled: 0.0978, loss_cls_unlabeled: 0.1950, acc_unlabeled: 91.5262, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1887, pseudo_num: 1.4940, pseudo_num_ig: 5.5084, pseudo_num_mining: 0.7295, pseudo_num(acc): 0.8708, pseudo_num ig(acc): 0.4773, loss: 1.3931
2021-10-31 15:20:52,515 - mmdet - INFO - Iter [5550/40000]	lr: 2.000e-02, eta: 18:06:07, time: 1.742, data_time: 0.033, memory: 26482, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0530, loss_cls: 0.2469, acc: 91.8892, loss_bbox: 0.2764, loss_rpn_cls_unlabeled: 0.0958, loss_rpn_bbox_unlabeled: 0.1009, loss_cls_unlabeled: 0.1938, acc_unlabeled: 91.6447, loss_bbox_unlabeled: 0.1744, losses_cls_ig_unlabeled: 0.1898, pseudo_num: 1.4941, pseudo_num_ig: 5.5101, pseudo_num_mining: 0.7306, pseudo_num(acc): 0.8710, pseudo_num ig(acc): 0.4773, loss: 1.3724
2021-10-31 15:22:16,085 - mmdet - INFO - Iter [5600/40000]	lr: 2.000e-02, eta: 18:03:26, time: 1.674, data_time: 0.031, memory: 26482, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0536, loss_cls: 0.2518, acc: 91.9055, loss_bbox: 0.2727, loss_rpn_cls_unlabeled: 0.1013, loss_rpn_bbox_unlabeled: 0.0995, loss_cls_unlabeled: 0.1954, acc_unlabeled: 91.6805, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1850, pseudo_num: 1.4945, pseudo_num_ig: 5.5107, pseudo_num_mining: 0.7318, pseudo_num(acc): 0.8712, pseudo_num ig(acc): 0.4774, loss: 1.3856
2021-10-31 15:23:40,628 - mmdet - INFO - Iter [5650/40000]	lr: 2.000e-02, eta: 18:00:49, time: 1.683, data_time: 0.030, memory: 26482, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0524, loss_cls: 0.2521, acc: 91.7367, loss_bbox: 0.2812, loss_rpn_cls_unlabeled: 0.1001, loss_rpn_bbox_unlabeled: 0.1019, loss_cls_unlabeled: 0.1879, acc_unlabeled: 91.5234, loss_bbox_unlabeled: 0.1715, losses_cls_ig_unlabeled: 0.1846, pseudo_num: 1.4949, pseudo_num_ig: 5.5133, pseudo_num_mining: 0.7328, pseudo_num(acc): 0.8713, pseudo_num ig(acc): 0.4774, loss: 1.3733
2021-10-31 15:25:06,244 - mmdet - INFO - Iter [5700/40000]	lr: 2.000e-02, eta: 17:58:23, time: 1.718, data_time: 0.037, memory: 26482, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0540, loss_cls: 0.2541, acc: 91.7545, loss_bbox: 0.2836, loss_rpn_cls_unlabeled: 0.0963, loss_rpn_bbox_unlabeled: 0.1028, loss_cls_unlabeled: 0.1998, acc_unlabeled: 91.4885, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1832, pseudo_num: 1.4951, pseudo_num_ig: 5.5157, pseudo_num_mining: 0.7335, pseudo_num(acc): 0.8715, pseudo_num ig(acc): 0.4774, loss: 1.4013
2021-10-31 15:26:31,579 - mmdet - INFO - Iter [5750/40000]	lr: 2.000e-02, eta: 17:55:55, time: 1.707, data_time: 0.030, memory: 26482, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0554, loss_cls: 0.2608, acc: 91.5239, loss_bbox: 0.2892, loss_rpn_cls_unlabeled: 0.0967, loss_rpn_bbox_unlabeled: 0.1015, loss_cls_unlabeled: 0.1929, acc_unlabeled: 91.5485, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1874, pseudo_num: 1.4953, pseudo_num_ig: 5.5165, pseudo_num_mining: 0.7341, pseudo_num(acc): 0.8717, pseudo_num ig(acc): 0.4774, loss: 1.4037
2021-10-31 15:27:55,093 - mmdet - INFO - Iter [5800/40000]	lr: 2.000e-02, eta: 17:53:17, time: 1.668, data_time: 0.031, memory: 26482, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0524, loss_cls: 0.2582, acc: 91.7578, loss_bbox: 0.2793, loss_rpn_cls_unlabeled: 0.0928, loss_rpn_bbox_unlabeled: 0.1012, loss_cls_unlabeled: 0.2001, acc_unlabeled: 91.4562, loss_bbox_unlabeled: 0.1852, losses_cls_ig_unlabeled: 0.1855, pseudo_num: 1.4954, pseudo_num_ig: 5.5170, pseudo_num_mining: 0.7348, pseudo_num(acc): 0.8717, pseudo_num ig(acc): 0.4774, loss: 1.3968
2021-10-31 15:29:19,516 - mmdet - INFO - Iter [5850/40000]	lr: 2.000e-02, eta: 17:50:47, time: 1.691, data_time: 0.032, memory: 26482, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0535, loss_cls: 0.2580, acc: 91.6506, loss_bbox: 0.2849, loss_rpn_cls_unlabeled: 0.0975, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1929, acc_unlabeled: 91.7450, loss_bbox_unlabeled: 0.1726, losses_cls_ig_unlabeled: 0.1881, pseudo_num: 1.4955, pseudo_num_ig: 5.5177, pseudo_num_mining: 0.7356, pseudo_num(acc): 0.8719, pseudo_num ig(acc): 0.4775, loss: 1.3869
2021-10-31 15:30:44,471 - mmdet - INFO - Iter [5900/40000]	lr: 2.000e-02, eta: 17:48:20, time: 1.697, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0508, loss_cls: 0.2499, acc: 91.8658, loss_bbox: 0.2778, loss_rpn_cls_unlabeled: 0.0954, loss_rpn_bbox_unlabeled: 0.1011, loss_cls_unlabeled: 0.1886, acc_unlabeled: 91.6018, loss_bbox_unlabeled: 0.1744, losses_cls_ig_unlabeled: 0.1872, pseudo_num: 1.4952, pseudo_num_ig: 5.5194, pseudo_num_mining: 0.7369, pseudo_num(acc): 0.8719, pseudo_num ig(acc): 0.4775, loss: 1.3665
2021-10-31 15:32:10,293 - mmdet - INFO - Iter [5950/40000]	lr: 2.000e-02, eta: 17:45:58, time: 1.714, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0519, loss_cls: 0.2516, acc: 91.8132, loss_bbox: 0.2796, loss_rpn_cls_unlabeled: 0.0988, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.1992, acc_unlabeled: 91.4508, loss_bbox_unlabeled: 0.1829, losses_cls_ig_unlabeled: 0.1936, pseudo_num: 1.4949, pseudo_num_ig: 5.5219, pseudo_num_mining: 0.7387, pseudo_num(acc): 0.8720, pseudo_num ig(acc): 0.4777, loss: 1.4033
2021-10-31 15:33:36,019 - mmdet - INFO - pseudo pos: 0.98(11332.0-person) 0.92(288.0-bicycle) 0.94(2017.0-car) 0.99(366.0-motorcycle) 0.99(183.0-airplane) 1.00(218.0-bus) 0.99(231.0-train) 0.75(445.0-truck) 0.74(398.0-boat) 0.92(573.0-traffic light) 0.97(69.0-fire hydrant) 1.00(76.0-stop sign) 0.94(48.0-parking meter) 0.68(404.0-bench) 0.90(420.0-bird) 0.98(192.0-cat) 0.99(204.0-dog) 0.99(301.0-horse) 0.93(348.0-sheep) 0.95(296.0-cow) 1.00(206.0-elephant) 1.00(77.0-bear) 0.98(203.0-zebra) 0.99(225.0-giraffe) 0.51(385.0-backpack) 0.81(523.0-umbrella) 0.52(480.0-handbag) 0.94(224.0-tie) 0.81(236.0-suitcase) 1.00(86.0-frisbee) 0.68(309.0-skis) 0.76(90.0-snowboard) 0.96(236.0-sports ball) 0.92(339.0-kite) 0.90(154.0-baseball bat) 0.95(151.0-baseball glove) 0.98(254.0-skateboard) 0.90(263.0-surfboard) 0.98(168.0-tennis racket) 0.85(1001.0-bottle) 0.97(277.0-wine glass) 0.90(961.0-cup) 0.71(207.0-fork) 0.48(390.0-knife) 0.50(280.0-spoon) 0.85(619.0-bowl) 0.69(393.0-banana) 0.53(209.0-apple) 0.84(235.0-sandwich) 0.73(292.0-orange) 0.72(318.0-broccoli) 0.56(350.0-carrot) 0.78(145.0-hot dog) 0.95(256.0-pizza) 0.94(267.0-donut) 0.85(252.0-cake) 0.79(1660.0-chair) 0.85(279.0-couch) 0.74(423.0-potted plant) 0.92(147.0-bed) 0.73(885.0-dining table) 0.95(151.0-toilet) 0.97(214.0-tv) 0.96(200.0-laptop) 0.97(105.0-mouse) 0.75(168.0-remote) 0.98(115.0-keyboard) 0.85(287.0-cell phone) 0.97(66.0-microwave) 0.88(163.0-oven) 0.00(0.0-toaster) 0.85(226.0-sink) 0.98(122.0-refrigerator) 0.34(875.0-book) 0.99(244.0-clock) 0.89(282.0-vase) 0.75(64.0-scissors) 0.93(214.0-teddy bear) 0.00(0.0-hair drier) 0.47(79.0-toothbrush)
2021-10-31 15:33:36,019 - mmdet - INFO - pseudo ig: 0.64(40513.0-person) 0.43(932.0-bicycle) 0.49(6975.0-car) 0.58(1342.0-motorcycle) 0.67(667.0-airplane) 0.68(815.0-bus) 0.59(689.0-train) 0.37(1557.0-truck) 0.36(1648.0-boat) 0.40(2279.0-traffic light) 0.74(280.0-fire hydrant) 0.59(341.0-stop sign) 0.36(216.0-parking meter) 0.22(1447.0-bench) 0.32(1628.0-bird) 0.76(744.0-cat) 0.68(783.0-dog) 0.61(995.0-horse) 0.53(1736.0-sheep) 0.53(1380.0-cow) 0.76(848.0-elephant) 0.64(231.0-bear) 0.76(875.0-zebra) 0.89(707.0-giraffe) 0.24(1419.0-backpack) 0.41(1864.0-umbrella) 0.20(1961.0-handbag) 0.41(832.0-tie) 0.41(880.0-suitcase) 0.61(389.0-frisbee) 0.35(1116.0-skis) 0.30(398.0-snowboard) 0.39(1108.0-sports ball) 0.52(1313.0-kite) 0.37(558.0-baseball bat) 0.42(604.0-baseball glove) 0.54(850.0-skateboard) 0.42(1013.0-surfboard) 0.64(725.0-tennis racket) 0.41(3859.0-bottle) 0.47(1146.0-wine glass) 0.35(3836.0-cup) 0.29(882.0-fork) 0.19(1334.0-knife) 0.18(1120.0-spoon) 0.40(2594.0-bowl) 0.28(1685.0-banana) 0.21(822.0-apple) 0.34(749.0-sandwich) 0.26(1225.0-orange) 0.40(1284.0-broccoli) 0.22(1307.0-carrot) 0.33(448.0-hot dog) 0.55(830.0-pizza) 0.38(1219.0-donut) 0.36(999.0-cake) 0.31(6202.0-chair) 0.39(981.0-couch) 0.34(1483.0-potted plant) 0.50(574.0-bed) 0.35(2311.0-dining table) 0.69(615.0-toilet) 0.62(918.0-tv) 0.58(859.0-laptop) 0.37(410.0-mouse) 0.33(839.0-remote) 0.47(446.0-keyboard) 0.27(1084.0-cell phone) 0.59(211.0-microwave) 0.36(598.0-oven) 0.00(0.0-toaster) 0.42(913.0-sink) 0.45(391.0-refrigerator) 0.18(3046.0-book) 0.60(930.0-clock) 0.39(1143.0-vase) 0.22(222.0-scissors) 0.49(747.0-teddy bear) 0.00(0.0-hair drier) 0.16(271.0-toothbrush)
2021-10-31 15:33:36,019 - mmdet - INFO - pseudo gt: 53679.0 1428.0 8925.0 1881.0 953.0 1317.0 917.0 1940.0 2024.0 2665.0 388.0 421.0 266.0 2030.0 2056.0 949.0 1144.0 1363.0 1979.0 1621.0 1097.0 274.0 1156.0 1026.0 1801.0 2387.0 2427.0 1332.0 1358.0 532.0 1421.0 531.0 1237.0 2007.0 628.0 791.0 1189.0 1080.0 999.0 5053.0 1595.0 4098.0 1072.0 1668.0 1244.0 2869.0 1851.0 1092.0 927.0 1285.0 1620.0 1508.0 558.0 1127.0 1402.0 1264.0 8095.0 1233.0 1919.0 792.0 3281.0 851.0 1224.0 1036.0 464.0 1134.0 576.0 1326.0 346.0 691.0 51.0 1077.0 560.0 4802.0 1239.0 1325.0 229.0 865.0 29.0 389.0
2021-10-31 15:33:36,019 - mmdet - INFO - pseudo mining: 9588.0 31.0 921.0 111.0 77.0 186.0 75.0 8.0 56.0 286.0 128.0 204.0 7.0 5.0 58.0 118.0 90.0 140.0 406.0 119.0 323.0 47.0 407.0 416.0 1.0 109.0 0.0 69.0 20.0 149.0 16.0 0.0 345.0 395.0 41.0 142.0 124.0 29.0 211.0 336.0 82.0 245.0 2.0 1.0 0.0 146.0 26.0 12.0 8.0 18.0 43.0 23.0 1.0 97.0 112.0 11.0 37.0 5.0 54.0 2.0 32.0 223.0 283.0 128.0 103.0 24.0 49.0 43.0 34.0 11.0 0.0 87.0 17.0 3.0 592.0 78.0 0.0 37.0 0.0 0.0
2021-10-31 15:34:32,823 - mmdet - INFO - Evaluating bbox...
2021-10-31 15:35:45,755 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.433 | bicycle      | 0.198 | car            | 0.338 |
| motorcycle    | 0.284 | airplane     | 0.428 | bus            | 0.463 |
| train         | 0.419 | truck        | 0.213 | boat           | 0.148 |
| traffic light | 0.214 | fire hydrant | 0.485 | stop sign      | 0.519 |
| parking meter | 0.379 | bench        | 0.140 | bird           | 0.232 |
| cat           | 0.452 | dog          | 0.412 | horse          | 0.392 |
| sheep         | 0.346 | cow          | 0.396 | elephant       | 0.467 |
| bear          | 0.532 | zebra        | 0.501 | giraffe        | 0.547 |
| backpack      | 0.073 | umbrella     | 0.232 | handbag        | 0.064 |
| tie           | 0.184 | suitcase     | 0.150 | frisbee        | 0.505 |
| skis          | 0.118 | snowboard    | 0.139 | sports ball    | 0.352 |
| kite          | 0.285 | baseball bat | 0.147 | baseball glove | 0.256 |
| skateboard    | 0.329 | surfboard    | 0.198 | tennis racket  | 0.308 |
| bottle        | 0.290 | wine glass   | 0.247 | cup            | 0.309 |
| fork          | 0.126 | knife        | 0.071 | spoon          | 0.053 |
| bowl          | 0.324 | banana       | 0.145 | apple          | 0.112 |
| sandwich      | 0.228 | orange       | 0.209 | broccoli       | 0.145 |
| carrot        | 0.068 | hot dog      | 0.119 | pizza          | 0.380 |
| donut         | 0.284 | cake         | 0.195 | chair          | 0.159 |
| couch         | 0.259 | potted plant | 0.154 | bed            | 0.262 |
| dining table  | 0.164 | toilet       | 0.429 | tv             | 0.427 |
| laptop        | 0.427 | mouse        | 0.447 | remote         | 0.151 |
| keyboard      | 0.323 | cell phone   | 0.224 | microwave      | 0.372 |
| oven          | 0.177 | toaster      | 0.103 | sink           | 0.228 |
| refrigerator  | 0.316 | book         | 0.040 | clock          | 0.406 |
| vase          | 0.268 | scissors     | 0.125 | teddy bear     | 0.291 |
| hair drier    | 0.000 | toothbrush   | 0.060 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 15:36:45,202 - mmdet - INFO - Evaluating bbox...
2021-10-31 15:37:57,718 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.454 | bicycle      | 0.209 | car            | 0.363 |
| motorcycle    | 0.315 | airplane     | 0.492 | bus            | 0.524 |
| train         | 0.466 | truck        | 0.220 | boat           | 0.181 |
| traffic light | 0.231 | fire hydrant | 0.543 | stop sign      | 0.557 |
| parking meter | 0.407 | bench        | 0.155 | bird           | 0.259 |
| cat           | 0.496 | dog          | 0.441 | horse          | 0.435 |
| sheep         | 0.372 | cow          | 0.427 | elephant       | 0.514 |
| bear          | 0.555 | zebra        | 0.542 | giraffe        | 0.552 |
| backpack      | 0.093 | umbrella     | 0.251 | handbag        | 0.071 |
| tie           | 0.211 | suitcase     | 0.183 | frisbee        | 0.539 |
| skis          | 0.139 | snowboard    | 0.169 | sports ball    | 0.389 |
| kite          | 0.303 | baseball bat | 0.175 | baseball glove | 0.275 |
| skateboard    | 0.342 | surfboard    | 0.221 | tennis racket  | 0.335 |
| bottle        | 0.306 | wine glass   | 0.262 | cup            | 0.327 |
| fork          | 0.153 | knife        | 0.076 | spoon          | 0.067 |
| bowl          | 0.349 | banana       | 0.166 | apple          | 0.110 |
| sandwich      | 0.241 | orange       | 0.253 | broccoli       | 0.168 |
| carrot        | 0.100 | hot dog      | 0.143 | pizza          | 0.400 |
| donut         | 0.327 | cake         | 0.213 | chair          | 0.171 |
| couch         | 0.294 | potted plant | 0.162 | bed            | 0.298 |
| dining table  | 0.174 | toilet       | 0.464 | tv             | 0.448 |
| laptop        | 0.455 | mouse        | 0.483 | remote         | 0.163 |
| keyboard      | 0.364 | cell phone   | 0.251 | microwave      | 0.403 |
| oven          | 0.220 | toaster      | 0.154 | sink           | 0.254 |
| refrigerator  | 0.373 | book         | 0.055 | clock          | 0.418 |
| vase          | 0.291 | scissors     | 0.113 | teddy bear     | 0.323 |
| hair drier    | 0.000 | toothbrush   | 0.067 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 15:39:25,251 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 15:39:25,251 - mmdet - INFO - Iter [6000/40000]	lr: 2.000e-02, eta: 17:43:49, time: 1.755, data_time: 0.034, memory: 26484, bbox_mAP: 0.2930, bbox_mAP_50: 0.4930, bbox_mAP_75: 0.3100, bbox_mAP_s: 0.1670, bbox_mAP_m: 0.3220, bbox_mAP_l: 0.3790, bbox_mAP_copypaste: 0.293 0.493 0.310 0.167 0.322 0.379, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0513, loss_cls: 0.2500, acc: 91.9197, loss_bbox: 0.2759, loss_rpn_cls_unlabeled: 0.0970, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1818, acc_unlabeled: 92.0612, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.1789, pseudo_num: 1.4949, pseudo_num_ig: 5.5234, pseudo_num_mining: 0.7401, pseudo_num(acc): 0.8720, pseudo_num ig(acc): 0.4777, loss: 1.3463
2021-10-31 15:40:52,274 - mmdet - INFO - Iter [6050/40000]	lr: 2.000e-02, eta: 18:14:06, time: 8.688, data_time: 6.979, memory: 26484, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0510, loss_cls: 0.2490, acc: 91.8405, loss_bbox: 0.2769, loss_rpn_cls_unlabeled: 0.0933, loss_rpn_bbox_unlabeled: 0.1001, loss_cls_unlabeled: 0.1935, acc_unlabeled: 91.5870, loss_bbox_unlabeled: 0.1794, losses_cls_ig_unlabeled: 0.1867, pseudo_num: 1.4949, pseudo_num_ig: 5.5242, pseudo_num_mining: 0.7412, pseudo_num(acc): 0.8721, pseudo_num ig(acc): 0.4778, loss: 1.3718
2021-10-31 15:42:17,531 - mmdet - INFO - Iter [6100/40000]	lr: 2.000e-02, eta: 18:11:27, time: 1.706, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0529, loss_cls: 0.2505, acc: 91.8400, loss_bbox: 0.2759, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1933, acc_unlabeled: 91.7898, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1775, pseudo_num: 1.4944, pseudo_num_ig: 5.5243, pseudo_num_mining: 0.7423, pseudo_num(acc): 0.8723, pseudo_num ig(acc): 0.4779, loss: 1.3492
2021-10-31 15:43:43,955 - mmdet - INFO - Iter [6150/40000]	lr: 2.000e-02, eta: 18:08:54, time: 1.729, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0521, loss_cls: 0.2529, acc: 91.7583, loss_bbox: 0.2794, loss_rpn_cls_unlabeled: 0.0971, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1976, acc_unlabeled: 91.6005, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1903, pseudo_num: 1.4939, pseudo_num_ig: 5.5246, pseudo_num_mining: 0.7433, pseudo_num(acc): 0.8724, pseudo_num ig(acc): 0.4779, loss: 1.3804
2021-10-31 15:45:07,657 - mmdet - INFO - Iter [6200/40000]	lr: 2.000e-02, eta: 18:06:08, time: 1.674, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0543, loss_cls: 0.2533, acc: 91.8173, loss_bbox: 0.2791, loss_rpn_cls_unlabeled: 0.0977, loss_rpn_bbox_unlabeled: 0.1006, loss_cls_unlabeled: 0.1987, acc_unlabeled: 91.4978, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1862, pseudo_num: 1.4938, pseudo_num_ig: 5.5264, pseudo_num_mining: 0.7445, pseudo_num(acc): 0.8724, pseudo_num ig(acc): 0.4780, loss: 1.3953
2021-10-31 15:46:32,001 - mmdet - INFO - Iter [6250/40000]	lr: 2.000e-02, eta: 18:03:26, time: 1.686, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0522, loss_cls: 0.2523, acc: 91.8228, loss_bbox: 0.2804, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1985, acc_unlabeled: 91.9160, loss_bbox_unlabeled: 0.1886, losses_cls_ig_unlabeled: 0.1780, pseudo_num: 1.4940, pseudo_num_ig: 5.5270, pseudo_num_mining: 0.7455, pseudo_num(acc): 0.8724, pseudo_num ig(acc): 0.4781, loss: 1.3821
2021-10-31 15:47:55,598 - mmdet - INFO - Iter [6300/40000]	lr: 2.000e-02, eta: 18:00:42, time: 1.674, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0530, loss_cls: 0.2538, acc: 91.7406, loss_bbox: 0.2815, loss_rpn_cls_unlabeled: 0.0956, loss_rpn_bbox_unlabeled: 0.1000, loss_cls_unlabeled: 0.1948, acc_unlabeled: 91.7751, loss_bbox_unlabeled: 0.1796, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.4939, pseudo_num_ig: 5.5272, pseudo_num_mining: 0.7467, pseudo_num(acc): 0.8723, pseudo_num ig(acc): 0.4781, loss: 1.3847
2021-10-31 15:49:20,453 - mmdet - INFO - Iter [6350/40000]	lr: 2.000e-02, eta: 17:58:05, time: 1.695, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0512, loss_cls: 0.2443, acc: 91.9399, loss_bbox: 0.2712, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.1905, acc_unlabeled: 91.6692, loss_bbox_unlabeled: 0.1831, losses_cls_ig_unlabeled: 0.1878, pseudo_num: 1.4939, pseudo_num_ig: 5.5283, pseudo_num_mining: 0.7477, pseudo_num(acc): 0.8724, pseudo_num ig(acc): 0.4782, loss: 1.3565
2021-10-31 15:50:47,613 - mmdet - INFO - Iter [6400/40000]	lr: 2.000e-02, eta: 17:55:42, time: 1.744, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0554, loss_cls: 0.2524, acc: 91.6838, loss_bbox: 0.2839, loss_rpn_cls_unlabeled: 0.0923, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1916, acc_unlabeled: 92.0354, loss_bbox_unlabeled: 0.1763, losses_cls_ig_unlabeled: 0.1846, pseudo_num: 1.4937, pseudo_num_ig: 5.5290, pseudo_num_mining: 0.7492, pseudo_num(acc): 0.8726, pseudo_num ig(acc): 0.4782, loss: 1.3752
2021-10-31 15:52:14,885 - mmdet - INFO - Iter [6450/40000]	lr: 2.000e-02, eta: 17:53:21, time: 1.745, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0525, loss_cls: 0.2557, acc: 91.6484, loss_bbox: 0.2830, loss_rpn_cls_unlabeled: 0.0939, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1927, acc_unlabeled: 91.6414, loss_bbox_unlabeled: 0.1724, losses_cls_ig_unlabeled: 0.1900, pseudo_num: 1.4932, pseudo_num_ig: 5.5291, pseudo_num_mining: 0.7502, pseudo_num(acc): 0.8727, pseudo_num ig(acc): 0.4783, loss: 1.3780
2021-10-31 15:53:38,480 - mmdet - INFO - pseudo pos: 0.98(12278.0-person) 0.92(320.0-bicycle) 0.94(2134.0-car) 0.99(383.0-motorcycle) 1.00(204.0-airplane) 1.00(251.0-bus) 0.99(248.0-train) 0.75(474.0-truck) 0.74(453.0-boat) 0.92(605.0-traffic light) 0.97(74.0-fire hydrant) 1.00(85.0-stop sign) 0.94(54.0-parking meter) 0.69(433.0-bench) 0.90(458.0-bird) 0.99(203.0-cat) 0.99(222.0-dog) 0.99(319.0-horse) 0.94(401.0-sheep) 0.94(321.0-cow) 1.00(223.0-elephant) 1.00(82.0-bear) 0.98(227.0-zebra) 0.99(242.0-giraffe) 0.51(411.0-backpack) 0.81(562.0-umbrella) 0.53(510.0-handbag) 0.93(245.0-tie) 0.81(260.0-suitcase) 1.00(95.0-frisbee) 0.68(329.0-skis) 0.77(101.0-snowboard) 0.96(246.0-sports ball) 0.91(366.0-kite) 0.90(164.0-baseball bat) 0.95(157.0-baseball glove) 0.99(267.0-skateboard) 0.90(289.0-surfboard) 0.98(183.0-tennis racket) 0.85(1062.0-bottle) 0.97(296.0-wine glass) 0.90(1039.0-cup) 0.71(227.0-fork) 0.48(396.0-knife) 0.51(308.0-spoon) 0.85(672.0-bowl) 0.69(436.0-banana) 0.53(219.0-apple) 0.83(248.0-sandwich) 0.72(312.0-orange) 0.71(334.0-broccoli) 0.56(367.0-carrot) 0.77(150.0-hot dog) 0.95(271.0-pizza) 0.94(293.0-donut) 0.85(265.0-cake) 0.79(1811.0-chair) 0.85(301.0-couch) 0.76(445.0-potted plant) 0.93(163.0-bed) 0.73(959.0-dining table) 0.95(165.0-toilet) 0.97(229.0-tv) 0.97(218.0-laptop) 0.97(113.0-mouse) 0.73(185.0-remote) 0.98(128.0-keyboard) 0.85(316.0-cell phone) 0.97(70.0-microwave) 0.89(170.0-oven) 0.00(0.0-toaster) 0.86(242.0-sink) 0.96(130.0-refrigerator) 0.34(951.0-book) 0.99(266.0-clock) 0.89(304.0-vase) 0.74(72.0-scissors) 0.94(227.0-teddy bear) 0.00(0.0-hair drier) 0.47(89.0-toothbrush)
2021-10-31 15:53:38,480 - mmdet - INFO - pseudo ig: 0.64(44070.0-person) 0.43(1033.0-bicycle) 0.50(7507.0-car) 0.58(1441.0-motorcycle) 0.68(735.0-airplane) 0.66(883.0-bus) 0.60(743.0-train) 0.37(1700.0-truck) 0.35(1800.0-boat) 0.40(2424.0-traffic light) 0.72(320.0-fire hydrant) 0.58(366.0-stop sign) 0.37(243.0-parking meter) 0.22(1580.0-bench) 0.32(1739.0-bird) 0.76(800.0-cat) 0.68(850.0-dog) 0.61(1067.0-horse) 0.53(1888.0-sheep) 0.53(1524.0-cow) 0.76(918.0-elephant) 0.64(257.0-bear) 0.76(951.0-zebra) 0.90(765.0-giraffe) 0.24(1543.0-backpack) 0.41(2117.0-umbrella) 0.20(2124.0-handbag) 0.41(910.0-tie) 0.41(949.0-suitcase) 0.60(436.0-frisbee) 0.35(1183.0-skis) 0.30(440.0-snowboard) 0.39(1174.0-sports ball) 0.51(1412.0-kite) 0.38(599.0-baseball bat) 0.43(646.0-baseball glove) 0.56(908.0-skateboard) 0.42(1096.0-surfboard) 0.64(782.0-tennis racket) 0.42(4113.0-bottle) 0.48(1249.0-wine glass) 0.35(4167.0-cup) 0.29(960.0-fork) 0.20(1434.0-knife) 0.18(1210.0-spoon) 0.40(2788.0-bowl) 0.28(1844.0-banana) 0.21(874.0-apple) 0.36(826.0-sandwich) 0.26(1334.0-orange) 0.40(1341.0-broccoli) 0.23(1377.0-carrot) 0.32(484.0-hot dog) 0.56(902.0-pizza) 0.38(1351.0-donut) 0.35(1070.0-cake) 0.31(6770.0-chair) 0.39(1042.0-couch) 0.35(1600.0-potted plant) 0.50(612.0-bed) 0.35(2516.0-dining table) 0.69(691.0-toilet) 0.62(1000.0-tv) 0.57(927.0-laptop) 0.38(427.0-mouse) 0.33(886.0-remote) 0.47(479.0-keyboard) 0.27(1163.0-cell phone) 0.59(223.0-microwave) 0.36(628.0-oven) 0.00(0.0-toaster) 0.43(984.0-sink) 0.44(429.0-refrigerator) 0.18(3286.0-book) 0.60(1010.0-clock) 0.39(1272.0-vase) 0.23(242.0-scissors) 0.46(849.0-teddy bear) 0.00(0.0-hair drier) 0.15(305.0-toothbrush)
2021-10-31 15:53:38,481 - mmdet - INFO - pseudo gt: 58202.0 1557.0 9639.0 2026.0 1050.0 1425.0 1000.0 2101.0 2203.0 2837.0 426.0 453.0 289.0 2180.0 2217.0 1015.0 1233.0 1445.0 2181.0 1768.0 1193.0 304.0 1265.0 1123.0 1925.0 2587.0 2607.0 1449.0 1483.0 583.0 1529.0 594.0 1328.0 2118.0 715.0 859.0 1287.0 1168.0 1107.0 5449.0 1759.0 4454.0 1186.0 1785.0 1340.0 3078.0 2060.0 1202.0 1027.0 1422.0 1713.0 1631.0 614.0 1228.0 1530.0 1339.0 8881.0 1324.0 2098.0 854.0 3538.0 930.0 1314.0 1113.0 497.0 1213.0 629.0 1442.0 372.0 740.0 54.0 1169.0 593.0 5158.0 1339.0 1454.0 271.0 935.0 33.0 422.0
2021-10-31 15:53:38,481 - mmdet - INFO - pseudo mining: 10492.0 39.0 1019.0 119.0 98.0 198.0 83.0 11.0 58.0 299.0 147.0 222.0 7.0 6.0 59.0 130.0 94.0 155.0 424.0 136.0 357.0 55.0 456.0 457.0 1.0 125.0 0.0 73.0 27.0 167.0 18.0 0.0 371.0 423.0 46.0 156.0 137.0 32.0 235.0 369.0 94.0 267.0 2.0 1.0 0.0 158.0 26.0 12.0 13.0 20.0 46.0 26.0 1.0 109.0 132.0 14.0 40.0 5.0 65.0 3.0 35.0 255.0 317.0 135.0 112.0 26.0 51.0 46.0 37.0 13.0 0.0 104.0 19.0 3.0 640.0 94.0 0.0 44.0 0.0 0.0
2021-10-31 15:53:40,174 - mmdet - INFO - Iter [6500/40000]	lr: 2.000e-02, eta: 17:50:50, time: 1.706, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0424, loss_rpn_bbox: 0.0529, loss_cls: 0.2487, acc: 91.9565, loss_bbox: 0.2779, loss_rpn_cls_unlabeled: 0.0936, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1840, acc_unlabeled: 91.9432, loss_bbox_unlabeled: 0.1672, losses_cls_ig_unlabeled: 0.1844, pseudo_num: 1.4925, pseudo_num_ig: 5.5302, pseudo_num_mining: 0.7513, pseudo_num(acc): 0.8728, pseudo_num ig(acc): 0.4783, loss: 1.3452
2021-10-31 15:55:05,288 - mmdet - INFO - Iter [6550/40000]	lr: 2.000e-02, eta: 17:48:19, time: 1.702, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0530, loss_cls: 0.2515, acc: 91.7646, loss_bbox: 0.2856, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.0968, loss_cls_unlabeled: 0.1926, acc_unlabeled: 91.9124, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4919, pseudo_num_ig: 5.5302, pseudo_num_mining: 0.7523, pseudo_num(acc): 0.8728, pseudo_num ig(acc): 0.4785, loss: 1.3711
2021-10-31 15:56:30,828 - mmdet - INFO - Iter [6600/40000]	lr: 2.000e-02, eta: 17:45:51, time: 1.710, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0513, loss_cls: 0.2569, acc: 91.7859, loss_bbox: 0.2825, loss_rpn_cls_unlabeled: 0.0945, loss_rpn_bbox_unlabeled: 0.0989, loss_cls_unlabeled: 0.1959, acc_unlabeled: 91.5448, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1898, pseudo_num: 1.4915, pseudo_num_ig: 5.5309, pseudo_num_mining: 0.7531, pseudo_num(acc): 0.8729, pseudo_num ig(acc): 0.4786, loss: 1.3866
2021-10-31 15:57:54,768 - mmdet - INFO - Iter [6650/40000]	lr: 2.000e-02, eta: 17:43:16, time: 1.678, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0551, loss_cls: 0.2555, acc: 91.6833, loss_bbox: 0.2825, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.1014, loss_cls_unlabeled: 0.1928, acc_unlabeled: 91.4852, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1905, pseudo_num: 1.4913, pseudo_num_ig: 5.5322, pseudo_num_mining: 0.7539, pseudo_num(acc): 0.8731, pseudo_num ig(acc): 0.4785, loss: 1.3933
2021-10-31 16:00:39,421 - mmdet - INFO - Iter [6700/40000]	lr: 2.000e-02, eta: 17:47:24, time: 3.295, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0520, loss_cls: 0.2499, acc: 91.7919, loss_bbox: 0.2788, loss_rpn_cls_unlabeled: 0.0943, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1953, acc_unlabeled: 91.4941, loss_bbox_unlabeled: 0.1818, losses_cls_ig_unlabeled: 0.1934, pseudo_num: 1.4913, pseudo_num_ig: 5.5347, pseudo_num_mining: 0.7548, pseudo_num(acc): 0.8731, pseudo_num ig(acc): 0.4785, loss: 1.3836
2021-10-31 16:02:04,000 - mmdet - INFO - Iter [6750/40000]	lr: 2.000e-02, eta: 17:44:50, time: 1.691, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0528, loss_cls: 0.2545, acc: 91.7017, loss_bbox: 0.2860, loss_rpn_cls_unlabeled: 0.1008, loss_rpn_bbox_unlabeled: 0.0990, loss_cls_unlabeled: 0.1987, acc_unlabeled: 91.7025, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1805, pseudo_num: 1.4918, pseudo_num_ig: 5.5355, pseudo_num_mining: 0.7557, pseudo_num(acc): 0.8731, pseudo_num ig(acc): 0.4785, loss: 1.4030
2021-10-31 16:03:27,632 - mmdet - INFO - Iter [6800/40000]	lr: 2.000e-02, eta: 17:42:13, time: 1.673, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0529, loss_cls: 0.2493, acc: 91.8605, loss_bbox: 0.2777, loss_rpn_cls_unlabeled: 0.0999, loss_rpn_bbox_unlabeled: 0.1002, loss_cls_unlabeled: 0.1931, acc_unlabeled: 91.8571, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1856, pseudo_num: 1.4927, pseudo_num_ig: 5.5379, pseudo_num_mining: 0.7570, pseudo_num(acc): 0.8732, pseudo_num ig(acc): 0.4786, loss: 1.3822
2021-10-31 16:04:52,834 - mmdet - INFO - Iter [6850/40000]	lr: 2.000e-02, eta: 17:39:45, time: 1.704, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0566, loss_cls: 0.2613, acc: 91.4177, loss_bbox: 0.2914, loss_rpn_cls_unlabeled: 0.0948, loss_rpn_bbox_unlabeled: 0.0990, loss_cls_unlabeled: 0.1978, acc_unlabeled: 91.9307, loss_bbox_unlabeled: 0.1854, losses_cls_ig_unlabeled: 0.1776, pseudo_num: 1.4931, pseudo_num_ig: 5.5382, pseudo_num_mining: 0.7579, pseudo_num(acc): 0.8733, pseudo_num ig(acc): 0.4786, loss: 1.4088
2021-10-31 16:06:17,439 - mmdet - INFO - Iter [6900/40000]	lr: 2.000e-02, eta: 17:37:15, time: 1.691, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0505, loss_cls: 0.2484, acc: 91.9055, loss_bbox: 0.2758, loss_rpn_cls_unlabeled: 0.0971, loss_rpn_bbox_unlabeled: 0.1016, loss_cls_unlabeled: 0.2009, acc_unlabeled: 91.6688, loss_bbox_unlabeled: 0.1859, losses_cls_ig_unlabeled: 0.1839, pseudo_num: 1.4938, pseudo_num_ig: 5.5383, pseudo_num_mining: 0.7590, pseudo_num(acc): 0.8735, pseudo_num ig(acc): 0.4787, loss: 1.3833
2021-10-31 16:07:41,542 - mmdet - INFO - Iter [6950/40000]	lr: 2.000e-02, eta: 17:34:44, time: 1.684, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0425, loss_rpn_bbox: 0.0537, loss_cls: 0.2508, acc: 91.7809, loss_bbox: 0.2781, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1913, acc_unlabeled: 91.8969, loss_bbox_unlabeled: 0.1774, losses_cls_ig_unlabeled: 0.1830, pseudo_num: 1.4943, pseudo_num_ig: 5.5398, pseudo_num_mining: 0.7602, pseudo_num(acc): 0.8735, pseudo_num ig(acc): 0.4787, loss: 1.3689
2021-10-31 16:09:03,726 - mmdet - INFO - pseudo pos: 0.98(13221.0-person) 0.92(340.0-bicycle) 0.94(2272.0-car) 0.99(413.0-motorcycle) 1.00(218.0-airplane) 0.99(280.0-bus) 0.98(263.0-train) 0.75(503.0-truck) 0.74(517.0-boat) 0.92(671.0-traffic light) 0.98(84.0-fire hydrant) 1.00(86.0-stop sign) 0.90(62.0-parking meter) 0.70(463.0-bench) 0.90(522.0-bird) 0.99(211.0-cat) 0.98(242.0-dog) 0.99(344.0-horse) 0.94(438.0-sheep) 0.94(356.0-cow) 1.00(251.0-elephant) 1.00(86.0-bear) 0.98(245.0-zebra) 0.99(259.0-giraffe) 0.51(447.0-backpack) 0.82(606.0-umbrella) 0.52(546.0-handbag) 0.93(270.0-tie) 0.81(266.0-suitcase) 1.00(101.0-frisbee) 0.69(345.0-skis) 0.76(111.0-snowboard) 0.97(273.0-sports ball) 0.92(389.0-kite) 0.90(169.0-baseball bat) 0.93(168.0-baseball glove) 0.99(293.0-skateboard) 0.90(305.0-surfboard) 0.98(197.0-tennis racket) 0.86(1164.0-bottle) 0.96(317.0-wine glass) 0.90(1126.0-cup) 0.73(245.0-fork) 0.48(428.0-knife) 0.51(340.0-spoon) 0.85(724.0-bowl) 0.69(485.0-banana) 0.54(246.0-apple) 0.83(271.0-sandwich) 0.73(324.0-orange) 0.72(378.0-broccoli) 0.57(400.0-carrot) 0.78(155.0-hot dog) 0.95(287.0-pizza) 0.94(318.0-donut) 0.86(278.0-cake) 0.79(1950.0-chair) 0.84(316.0-couch) 0.76(478.0-potted plant) 0.93(176.0-bed) 0.73(1031.0-dining table) 0.95(183.0-toilet) 0.98(249.0-tv) 0.97(239.0-laptop) 0.97(122.0-mouse) 0.73(207.0-remote) 0.99(147.0-keyboard) 0.86(332.0-cell phone) 0.96(75.0-microwave) 0.89(174.0-oven) 0.00(0.0-toaster) 0.85(265.0-sink) 0.96(134.0-refrigerator) 0.34(1021.0-book) 0.99(287.0-clock) 0.90(324.0-vase) 0.75(76.0-scissors) 0.94(240.0-teddy bear) 0.00(0.0-hair drier) 0.49(96.0-toothbrush)
2021-10-31 16:09:03,726 - mmdet - INFO - pseudo ig: 0.64(47407.0-person) 0.43(1111.0-bicycle) 0.50(8204.0-car) 0.57(1565.0-motorcycle) 0.68(791.0-airplane) 0.66(965.0-bus) 0.60(800.0-train) 0.37(1828.0-truck) 0.34(1978.0-boat) 0.41(2620.0-traffic light) 0.71(347.0-fire hydrant) 0.59(393.0-stop sign) 0.36(269.0-parking meter) 0.22(1699.0-bench) 0.31(1879.0-bird) 0.77(857.0-cat) 0.67(916.0-dog) 0.61(1160.0-horse) 0.53(2007.0-sheep) 0.52(1636.0-cow) 0.77(991.0-elephant) 0.64(274.0-bear) 0.76(1014.0-zebra) 0.89(842.0-giraffe) 0.24(1675.0-backpack) 0.41(2324.0-umbrella) 0.20(2270.0-handbag) 0.41(995.0-tie) 0.41(975.0-suitcase) 0.60(463.0-frisbee) 0.35(1234.0-skis) 0.30(471.0-snowboard) 0.40(1243.0-sports ball) 0.51(1499.0-kite) 0.39(629.0-baseball bat) 0.42(685.0-baseball glove) 0.56(981.0-skateboard) 0.43(1158.0-surfboard) 0.65(818.0-tennis racket) 0.42(4455.0-bottle) 0.47(1342.0-wine glass) 0.35(4471.0-cup) 0.29(1024.0-fork) 0.21(1571.0-knife) 0.18(1298.0-spoon) 0.40(3000.0-bowl) 0.28(2028.0-banana) 0.21(987.0-apple) 0.36(915.0-sandwich) 0.27(1414.0-orange) 0.40(1439.0-broccoli) 0.23(1475.0-carrot) 0.32(529.0-hot dog) 0.56(981.0-pizza) 0.39(1442.0-donut) 0.35(1129.0-cake) 0.31(7332.0-chair) 0.40(1108.0-couch) 0.35(1692.0-potted plant) 0.51(663.0-bed) 0.35(2703.0-dining table) 0.69(750.0-toilet) 0.62(1076.0-tv) 0.58(988.0-laptop) 0.41(467.0-mouse) 0.33(963.0-remote) 0.47(529.0-keyboard) 0.27(1274.0-cell phone) 0.55(273.0-microwave) 0.36(667.0-oven) 0.00(0.0-toaster) 0.43(1063.0-sink) 0.44(457.0-refrigerator) 0.18(3561.0-book) 0.59(1103.0-clock) 0.39(1380.0-vase) 0.23(256.0-scissors) 0.47(938.0-teddy bear) 0.00(0.0-hair drier) 0.16(322.0-toothbrush)
2021-10-31 16:09:03,726 - mmdet - INFO - pseudo gt: 62507.0 1690.0 10410.0 2186.0 1135.0 1548.0 1055.0 2275.0 2444.0 3110.0 461.0 478.0 307.0 2333.0 2404.0 1093.0 1315.0 1574.0 2315.0 1874.0 1308.0 322.0 1344.0 1233.0 2074.0 2782.0 2823.0 1580.0 1561.0 617.0 1615.0 632.0 1462.0 2262.0 758.0 897.0 1393.0 1248.0 1183.0 5905.0 1870.0 4795.0 1265.0 1898.0 1442.0 3330.0 2241.0 1353.0 1120.0 1506.0 1868.0 1740.0 653.0 1319.0 1712.0 1422.0 9466.0 1406.0 2238.0 924.0 3785.0 1010.0 1414.0 1178.0 547.0 1317.0 694.0 1559.0 402.0 788.0 59.0 1279.0 634.0 5558.0 1444.0 1567.0 299.0 1063.0 40.0 444.0
2021-10-31 16:09:03,726 - mmdet - INFO - pseudo mining: 11380.0 43.0 1139.0 128.0 110.0 220.0 90.0 13.0 67.0 321.0 156.0 240.0 7.0 8.0 59.0 148.0 105.0 173.0 431.0 153.0 388.0 60.0 489.0 502.0 1.0 144.0 0.0 77.0 27.0 177.0 18.0 0.0 396.0 446.0 52.0 167.0 154.0 33.0 252.0 405.0 103.0 296.0 2.0 2.0 0.0 171.0 27.0 14.0 13.0 21.0 52.0 27.0 1.0 122.0 148.0 14.0 44.0 5.0 74.0 4.0 40.0 285.0 349.0 147.0 129.0 28.0 54.0 55.0 49.0 15.0 0.0 116.0 20.0 3.0 680.0 104.0 0.0 51.0 0.0 0.0
2021-10-31 16:10:33,773 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 16:10:33,774 - mmdet - INFO - Iter [7000/40000]	lr: 2.000e-02, eta: 17:32:11, time: 1.672, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0555, loss_cls: 0.2515, acc: 91.8003, loss_bbox: 0.2794, loss_rpn_cls_unlabeled: 0.0899, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1942, acc_unlabeled: 91.8588, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1786, pseudo_num: 1.4949, pseudo_num_ig: 5.5406, pseudo_num_mining: 0.7612, pseudo_num(acc): 0.8734, pseudo_num ig(acc): 0.4787, loss: 1.3731
2021-10-31 16:11:59,039 - mmdet - INFO - Iter [7050/40000]	lr: 2.000e-02, eta: 17:36:41, time: 3.477, data_time: 1.800, memory: 26484, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0512, loss_cls: 0.2460, acc: 92.0161, loss_bbox: 0.2723, loss_rpn_cls_unlabeled: 0.0928, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1861, acc_unlabeled: 92.1631, loss_bbox_unlabeled: 0.1680, losses_cls_ig_unlabeled: 0.1786, pseudo_num: 1.4950, pseudo_num_ig: 5.5401, pseudo_num_mining: 0.7620, pseudo_num(acc): 0.8735, pseudo_num ig(acc): 0.4788, loss: 1.3342
2021-10-31 16:13:22,292 - mmdet - INFO - Iter [7100/40000]	lr: 2.000e-02, eta: 17:34:04, time: 1.663, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0537, loss_cls: 0.2479, acc: 91.9729, loss_bbox: 0.2745, loss_rpn_cls_unlabeled: 0.0925, loss_rpn_bbox_unlabeled: 0.0962, loss_cls_unlabeled: 0.1959, acc_unlabeled: 91.8396, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1856, pseudo_num: 1.4946, pseudo_num_ig: 5.5405, pseudo_num_mining: 0.7630, pseudo_num(acc): 0.8736, pseudo_num ig(acc): 0.4788, loss: 1.3633
2021-10-31 16:14:45,075 - mmdet - INFO - Iter [7150/40000]	lr: 2.000e-02, eta: 17:31:27, time: 1.657, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0521, loss_cls: 0.2537, acc: 91.6390, loss_bbox: 0.2847, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1921, acc_unlabeled: 91.8273, loss_bbox_unlabeled: 0.1779, losses_cls_ig_unlabeled: 0.1865, pseudo_num: 1.4943, pseudo_num_ig: 5.5408, pseudo_num_mining: 0.7641, pseudo_num(acc): 0.8736, pseudo_num ig(acc): 0.4790, loss: 1.3727
2021-10-31 16:16:10,589 - mmdet - INFO - Iter [7200/40000]	lr: 2.000e-02, eta: 17:29:03, time: 1.712, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0546, loss_cls: 0.2474, acc: 91.9324, loss_bbox: 0.2773, loss_rpn_cls_unlabeled: 0.0919, loss_rpn_bbox_unlabeled: 0.0984, loss_cls_unlabeled: 0.1874, acc_unlabeled: 91.9967, loss_bbox_unlabeled: 0.1779, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4942, pseudo_num_ig: 5.5411, pseudo_num_mining: 0.7650, pseudo_num(acc): 0.8737, pseudo_num ig(acc): 0.4791, loss: 1.3561
2021-10-31 16:17:34,975 - mmdet - INFO - Iter [7250/40000]	lr: 2.000e-02, eta: 17:26:34, time: 1.684, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0532, loss_cls: 0.2484, acc: 91.9270, loss_bbox: 0.2773, loss_rpn_cls_unlabeled: 0.0931, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1936, acc_unlabeled: 91.9838, loss_bbox_unlabeled: 0.1787, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.4946, pseudo_num_ig: 5.5406, pseudo_num_mining: 0.7657, pseudo_num(acc): 0.8738, pseudo_num ig(acc): 0.4791, loss: 1.3629
2021-10-31 16:19:01,369 - mmdet - INFO - Iter [7300/40000]	lr: 2.000e-02, eta: 17:24:17, time: 1.732, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0533, loss_cls: 0.2475, acc: 91.9049, loss_bbox: 0.2783, loss_rpn_cls_unlabeled: 0.1015, loss_rpn_bbox_unlabeled: 0.0995, loss_cls_unlabeled: 0.1893, acc_unlabeled: 91.7953, loss_bbox_unlabeled: 0.1764, losses_cls_ig_unlabeled: 0.1895, pseudo_num: 1.4945, pseudo_num_ig: 5.5413, pseudo_num_mining: 0.7667, pseudo_num(acc): 0.8739, pseudo_num ig(acc): 0.4791, loss: 1.3783
2021-10-31 16:20:26,433 - mmdet - INFO - Iter [7350/40000]	lr: 2.000e-02, eta: 17:21:52, time: 1.697, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0523, loss_cls: 0.2570, acc: 91.7168, loss_bbox: 0.2803, loss_rpn_cls_unlabeled: 0.0929, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1909, acc_unlabeled: 91.9246, loss_bbox_unlabeled: 0.1740, losses_cls_ig_unlabeled: 0.1825, pseudo_num: 1.4943, pseudo_num_ig: 5.5424, pseudo_num_mining: 0.7679, pseudo_num(acc): 0.8739, pseudo_num ig(acc): 0.4791, loss: 1.3642
2021-10-31 16:21:50,452 - mmdet - INFO - Iter [7400/40000]	lr: 2.000e-02, eta: 17:19:26, time: 1.685, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0519, loss_cls: 0.2519, acc: 91.7616, loss_bbox: 0.2831, loss_rpn_cls_unlabeled: 0.0931, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1908, acc_unlabeled: 91.5725, loss_bbox_unlabeled: 0.1749, losses_cls_ig_unlabeled: 0.1882, pseudo_num: 1.4939, pseudo_num_ig: 5.5443, pseudo_num_mining: 0.7690, pseudo_num(acc): 0.8740, pseudo_num ig(acc): 0.4792, loss: 1.3758
2021-10-31 16:23:14,515 - mmdet - INFO - Iter [7450/40000]	lr: 2.000e-02, eta: 17:16:59, time: 1.679, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0539, loss_cls: 0.2557, acc: 91.5015, loss_bbox: 0.2887, loss_rpn_cls_unlabeled: 0.0894, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1896, acc_unlabeled: 91.8542, loss_bbox_unlabeled: 0.1775, losses_cls_ig_unlabeled: 0.1802, pseudo_num: 1.4940, pseudo_num_ig: 5.5448, pseudo_num_mining: 0.7698, pseudo_num(acc): 0.8741, pseudo_num ig(acc): 0.4793, loss: 1.3698
2021-10-31 16:24:37,557 - mmdet - INFO - pseudo pos: 0.98(14133.0-person) 0.93(362.0-bicycle) 0.94(2414.0-car) 0.99(442.0-motorcycle) 1.00(237.0-airplane) 0.99(294.0-bus) 0.99(277.0-train) 0.75(534.0-truck) 0.74(552.0-boat) 0.92(718.0-traffic light) 0.98(87.0-fire hydrant) 1.00(90.0-stop sign) 0.91(70.0-parking meter) 0.69(498.0-bench) 0.90(537.0-bird) 0.99(226.0-cat) 0.98(258.0-dog) 0.99(367.0-horse) 0.94(462.0-sheep) 0.94(373.0-cow) 1.00(273.0-elephant) 1.00(91.0-bear) 0.98(255.0-zebra) 0.99(282.0-giraffe) 0.51(475.0-backpack) 0.82(656.0-umbrella) 0.53(590.0-handbag) 0.92(289.0-tie) 0.82(278.0-suitcase) 0.99(106.0-frisbee) 0.69(357.0-skis) 0.76(124.0-snowboard) 0.97(293.0-sports ball) 0.92(409.0-kite) 0.89(178.0-baseball bat) 0.94(180.0-baseball glove) 0.99(310.0-skateboard) 0.90(349.0-surfboard) 0.99(216.0-tennis racket) 0.86(1258.0-bottle) 0.96(363.0-wine glass) 0.90(1185.0-cup) 0.74(260.0-fork) 0.48(454.0-knife) 0.51(356.0-spoon) 0.85(796.0-bowl) 0.69(530.0-banana) 0.56(276.0-apple) 0.83(281.0-sandwich) 0.72(369.0-orange) 0.71(419.0-broccoli) 0.57(418.0-carrot) 0.77(166.0-hot dog) 0.95(303.0-pizza) 0.94(335.0-donut) 0.85(290.0-cake) 0.79(2063.0-chair) 0.84(329.0-couch) 0.75(506.0-potted plant) 0.93(188.0-bed) 0.72(1102.0-dining table) 0.95(191.0-toilet) 0.98(255.0-tv) 0.96(251.0-laptop) 0.97(125.0-mouse) 0.72(242.0-remote) 0.99(152.0-keyboard) 0.86(359.0-cell phone) 0.96(81.0-microwave) 0.89(191.0-oven) 0.00(0.0-toaster) 0.85(290.0-sink) 0.96(142.0-refrigerator) 0.34(1062.0-book) 0.99(313.0-clock) 0.90(346.0-vase) 0.76(88.0-scissors) 0.94(264.0-teddy bear) 0.00(0.0-hair drier) 0.49(99.0-toothbrush)
2021-10-31 16:24:37,557 - mmdet - INFO - pseudo ig: 0.64(50689.0-person) 0.44(1171.0-bicycle) 0.50(8684.0-car) 0.56(1723.0-motorcycle) 0.69(837.0-airplane) 0.66(1031.0-bus) 0.60(842.0-train) 0.37(1927.0-truck) 0.35(2105.0-boat) 0.40(2765.0-traffic light) 0.70(362.0-fire hydrant) 0.58(408.0-stop sign) 0.36(292.0-parking meter) 0.22(1844.0-bench) 0.31(2028.0-bird) 0.77(921.0-cat) 0.67(973.0-dog) 0.61(1218.0-horse) 0.54(2112.0-sheep) 0.52(1761.0-cow) 0.77(1074.0-elephant) 0.65(289.0-bear) 0.77(1045.0-zebra) 0.89(907.0-giraffe) 0.24(1778.0-backpack) 0.40(2464.0-umbrella) 0.20(2447.0-handbag) 0.41(1061.0-tie) 0.42(1062.0-suitcase) 0.62(492.0-frisbee) 0.35(1280.0-skis) 0.31(514.0-snowboard) 0.40(1303.0-sports ball) 0.51(1556.0-kite) 0.38(679.0-baseball bat) 0.43(733.0-baseball glove) 0.56(1060.0-skateboard) 0.43(1274.0-surfboard) 0.65(878.0-tennis racket) 0.42(4834.0-bottle) 0.47(1486.0-wine glass) 0.35(4838.0-cup) 0.29(1115.0-fork) 0.21(1671.0-knife) 0.18(1393.0-spoon) 0.40(3224.0-bowl) 0.28(2132.0-banana) 0.20(1203.0-apple) 0.37(966.0-sandwich) 0.27(1543.0-orange) 0.39(1579.0-broccoli) 0.23(1567.0-carrot) 0.31(583.0-hot dog) 0.57(1057.0-pizza) 0.38(1516.0-donut) 0.36(1208.0-cake) 0.31(7826.0-chair) 0.40(1188.0-couch) 0.35(1784.0-potted plant) 0.51(721.0-bed) 0.36(2903.0-dining table) 0.69(817.0-toilet) 0.62(1157.0-tv) 0.57(1056.0-laptop) 0.41(500.0-mouse) 0.33(1059.0-remote) 0.46(576.0-keyboard) 0.27(1364.0-cell phone) 0.56(286.0-microwave) 0.36(703.0-oven) 0.00(0.0-toaster) 0.44(1136.0-sink) 0.45(493.0-refrigerator) 0.18(3913.0-book) 0.60(1193.0-clock) 0.39(1473.0-vase) 0.22(287.0-scissors) 0.48(997.0-teddy bear) 0.00(0.0-hair drier) 0.17(342.0-toothbrush)
2021-10-31 16:24:37,557 - mmdet - INFO - pseudo gt: 66781.0 1803.0 11011.0 2359.0 1213.0 1642.0 1111.0 2399.0 2638.0 3281.0 474.0 495.0 324.0 2462.0 2631.0 1163.0 1389.0 1637.0 2477.0 1996.0 1436.0 348.0 1401.0 1323.0 2224.0 2935.0 3051.0 1687.0 1716.0 663.0 1723.0 691.0 1568.0 2364.0 790.0 950.0 1496.0 1363.0 1269.0 6409.0 2049.0 5118.0 1351.0 2058.0 1550.0 3573.0 2402.0 1482.0 1184.0 1615.0 2008.0 1850.0 702.0 1424.0 1807.0 1540.0 10121.0 1507.0 2381.0 999.0 4049.0 1084.0 1498.0 1259.0 588.0 1430.0 734.0 1658.0 427.0 843.0 61.0 1368.0 684.0 6059.0 1572.0 1698.0 327.0 1145.0 43.0 473.0
2021-10-31 16:24:37,557 - mmdet - INFO - pseudo mining: 12279.0 47.0 1208.0 148.0 122.0 242.0 98.0 13.0 75.0 334.0 163.0 244.0 7.0 11.0 62.0 164.0 114.0 183.0 462.0 174.0 434.0 69.0 512.0 538.0 1.0 149.0 0.0 82.0 34.0 192.0 19.0 0.0 421.0 465.0 55.0 185.0 172.0 40.0 277.0 430.0 108.0 331.0 2.0 5.0 1.0 184.0 30.0 14.0 17.0 21.0 61.0 29.0 1.0 141.0 153.0 18.0 47.0 6.0 79.0 4.0 41.0 322.0 379.0 156.0 141.0 29.0 60.0 59.0 53.0 16.0 0.0 125.0 22.0 3.0 747.0 120.0 0.0 57.0 0.0 0.0
2021-10-31 16:24:39,091 - mmdet - INFO - Iter [7500/40000]	lr: 2.000e-02, eta: 17:14:36, time: 1.691, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0533, loss_cls: 0.2462, acc: 91.9968, loss_bbox: 0.2762, loss_rpn_cls_unlabeled: 0.0981, loss_rpn_bbox_unlabeled: 0.1029, loss_cls_unlabeled: 0.1910, acc_unlabeled: 91.7932, loss_bbox_unlabeled: 0.1763, losses_cls_ig_unlabeled: 0.1842, pseudo_num: 1.4937, pseudo_num_ig: 5.5461, pseudo_num_mining: 0.7706, pseudo_num(acc): 0.8741, pseudo_num ig(acc): 0.4793, loss: 1.3688
2021-10-31 16:26:03,603 - mmdet - INFO - Iter [7550/40000]	lr: 2.000e-02, eta: 17:12:13, time: 1.693, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0541, loss_cls: 0.2574, acc: 91.6395, loss_bbox: 0.2826, loss_rpn_cls_unlabeled: 0.0943, loss_rpn_bbox_unlabeled: 0.0970, loss_cls_unlabeled: 0.1845, acc_unlabeled: 91.9561, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1849, pseudo_num: 1.4938, pseudo_num_ig: 5.5469, pseudo_num_mining: 0.7717, pseudo_num(acc): 0.8741, pseudo_num ig(acc): 0.4794, loss: 1.3698
2021-10-31 16:27:28,825 - mmdet - INFO - Iter [7600/40000]	lr: 2.000e-02, eta: 17:09:55, time: 1.705, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0405, loss_rpn_bbox: 0.0511, loss_cls: 0.2496, acc: 91.8934, loss_bbox: 0.2735, loss_rpn_cls_unlabeled: 0.0932, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1853, acc_unlabeled: 91.8494, loss_bbox_unlabeled: 0.1707, losses_cls_ig_unlabeled: 0.1856, pseudo_num: 1.4934, pseudo_num_ig: 5.5473, pseudo_num_mining: 0.7726, pseudo_num(acc): 0.8742, pseudo_num ig(acc): 0.4793, loss: 1.3470
2021-10-31 16:28:54,339 - mmdet - INFO - Iter [7650/40000]	lr: 2.000e-02, eta: 17:07:38, time: 1.710, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0522, loss_cls: 0.2426, acc: 92.0292, loss_bbox: 0.2703, loss_rpn_cls_unlabeled: 0.0917, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1902, acc_unlabeled: 91.7866, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1885, pseudo_num: 1.4928, pseudo_num_ig: 5.5466, pseudo_num_mining: 0.7735, pseudo_num(acc): 0.8743, pseudo_num ig(acc): 0.4794, loss: 1.3490
2021-10-31 16:30:18,150 - mmdet - INFO - Iter [7700/40000]	lr: 2.000e-02, eta: 17:05:14, time: 1.676, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0528, loss_cls: 0.2469, acc: 91.8427, loss_bbox: 0.2754, loss_rpn_cls_unlabeled: 0.0964, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1894, acc_unlabeled: 91.8563, loss_bbox_unlabeled: 0.1748, losses_cls_ig_unlabeled: 0.1860, pseudo_num: 1.4927, pseudo_num_ig: 5.5469, pseudo_num_mining: 0.7746, pseudo_num(acc): 0.8743, pseudo_num ig(acc): 0.4794, loss: 1.3587
2021-10-31 16:31:42,981 - mmdet - INFO - Iter [7750/40000]	lr: 2.000e-02, eta: 17:02:55, time: 1.695, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0503, loss_cls: 0.2461, acc: 92.0747, loss_bbox: 0.2692, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0949, loss_cls_unlabeled: 0.1928, acc_unlabeled: 91.9036, loss_bbox_unlabeled: 0.1806, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4925, pseudo_num_ig: 5.5465, pseudo_num_mining: 0.7755, pseudo_num(acc): 0.8744, pseudo_num ig(acc): 0.4794, loss: 1.3464
2021-10-31 16:33:06,922 - mmdet - INFO - Iter [7800/40000]	lr: 2.000e-02, eta: 17:00:34, time: 1.681, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0540, loss_cls: 0.2452, acc: 91.9198, loss_bbox: 0.2770, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.0954, loss_cls_unlabeled: 0.1900, acc_unlabeled: 91.9556, loss_bbox_unlabeled: 0.1819, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4925, pseudo_num_ig: 5.5466, pseudo_num_mining: 0.7764, pseudo_num(acc): 0.8745, pseudo_num ig(acc): 0.4795, loss: 1.3544
2021-10-31 16:34:31,536 - mmdet - INFO - Iter [7850/40000]	lr: 2.000e-02, eta: 16:58:16, time: 1.693, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0511, loss_cls: 0.2408, acc: 92.0812, loss_bbox: 0.2693, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0954, loss_cls_unlabeled: 0.1884, acc_unlabeled: 91.8767, loss_bbox_unlabeled: 0.1781, losses_cls_ig_unlabeled: 0.1800, pseudo_num: 1.4927, pseudo_num_ig: 5.5471, pseudo_num_mining: 0.7774, pseudo_num(acc): 0.8745, pseudo_num ig(acc): 0.4796, loss: 1.3324
2021-10-31 16:35:55,645 - mmdet - INFO - Iter [7900/40000]	lr: 2.000e-02, eta: 16:55:57, time: 1.680, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0518, loss_cls: 0.2475, acc: 91.8588, loss_bbox: 0.2777, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1920, acc_unlabeled: 92.1573, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1783, pseudo_num: 1.4928, pseudo_num_ig: 5.5461, pseudo_num_mining: 0.7783, pseudo_num(acc): 0.8746, pseudo_num ig(acc): 0.4796, loss: 1.3544
2021-10-31 16:37:19,834 - mmdet - INFO - Iter [7950/40000]	lr: 2.000e-02, eta: 16:53:39, time: 1.685, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0527, loss_cls: 0.2447, acc: 92.0826, loss_bbox: 0.2707, loss_rpn_cls_unlabeled: 0.0903, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1899, acc_unlabeled: 91.9502, loss_bbox_unlabeled: 0.1789, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.4927, pseudo_num_ig: 5.5454, pseudo_num_mining: 0.7793, pseudo_num(acc): 0.8747, pseudo_num ig(acc): 0.4796, loss: 1.3452
2021-10-31 16:38:43,899 - mmdet - INFO - pseudo pos: 0.98(15067.0-person) 0.93(382.0-bicycle) 0.94(2531.0-car) 0.99(463.0-motorcycle) 1.00(249.0-airplane) 0.99(315.0-bus) 0.98(295.0-train) 0.76(563.0-truck) 0.75(586.0-boat) 0.92(759.0-traffic light) 0.98(92.0-fire hydrant) 1.00(101.0-stop sign) 0.92(76.0-parking meter) 0.70(525.0-bench) 0.91(558.0-bird) 0.98(248.0-cat) 0.98(280.0-dog) 0.99(384.0-horse) 0.94(507.0-sheep) 0.94(402.0-cow) 1.00(287.0-elephant) 1.00(95.0-bear) 0.99(268.0-zebra) 0.99(295.0-giraffe) 0.52(500.0-backpack) 0.81(705.0-umbrella) 0.53(627.0-handbag) 0.92(317.0-tie) 0.82(298.0-suitcase) 0.99(119.0-frisbee) 0.69(377.0-skis) 0.77(136.0-snowboard) 0.96(313.0-sports ball) 0.91(430.0-kite) 0.89(187.0-baseball bat) 0.94(190.0-baseball glove) 0.99(323.0-skateboard) 0.89(373.0-surfboard) 0.99(228.0-tennis racket) 0.87(1358.0-bottle) 0.96(396.0-wine glass) 0.90(1276.0-cup) 0.74(274.0-fork) 0.49(469.0-knife) 0.50(371.0-spoon) 0.85(854.0-bowl) 0.69(571.0-banana) 0.56(295.0-apple) 0.84(295.0-sandwich) 0.71(392.0-orange) 0.71(433.0-broccoli) 0.58(436.0-carrot) 0.76(177.0-hot dog) 0.95(322.0-pizza) 0.94(367.0-donut) 0.86(306.0-cake) 0.79(2196.0-chair) 0.84(342.0-couch) 0.75(547.0-potted plant) 0.93(207.0-bed) 0.73(1185.0-dining table) 0.95(204.0-toilet) 0.98(272.0-tv) 0.96(266.0-laptop) 0.97(133.0-mouse) 0.72(253.0-remote) 0.99(163.0-keyboard) 0.85(374.0-cell phone) 0.97(86.0-microwave) 0.89(202.0-oven) 0.00(0.0-toaster) 0.85(311.0-sink) 0.97(147.0-refrigerator) 0.34(1117.0-book) 0.99(352.0-clock) 0.91(370.0-vase) 0.76(100.0-scissors) 0.94(286.0-teddy bear) 0.00(0.0-hair drier) 0.50(109.0-toothbrush)
2021-10-31 16:38:43,899 - mmdet - INFO - pseudo ig: 0.64(53877.0-person) 0.44(1263.0-bicycle) 0.50(9233.0-car) 0.57(1823.0-motorcycle) 0.69(895.0-airplane) 0.66(1101.0-bus) 0.60(906.0-train) 0.37(2046.0-truck) 0.36(2234.0-boat) 0.40(2943.0-traffic light) 0.71(381.0-fire hydrant) 0.57(428.0-stop sign) 0.35(311.0-parking meter) 0.22(1959.0-bench) 0.32(2139.0-bird) 0.76(992.0-cat) 0.66(1058.0-dog) 0.61(1313.0-horse) 0.54(2211.0-sheep) 0.52(1899.0-cow) 0.78(1136.0-elephant) 0.66(298.0-bear) 0.78(1132.0-zebra) 0.89(972.0-giraffe) 0.24(1862.0-backpack) 0.40(2636.0-umbrella) 0.20(2626.0-handbag) 0.41(1126.0-tie) 0.42(1136.0-suitcase) 0.62(514.0-frisbee) 0.36(1370.0-skis) 0.31(550.0-snowboard) 0.40(1395.0-sports ball) 0.51(1649.0-kite) 0.38(736.0-baseball bat) 0.43(790.0-baseball glove) 0.57(1129.0-skateboard) 0.42(1366.0-surfboard) 0.65(949.0-tennis racket) 0.42(5151.0-bottle) 0.46(1573.0-wine glass) 0.36(5217.0-cup) 0.29(1199.0-fork) 0.22(1765.0-knife) 0.18(1478.0-spoon) 0.39(3542.0-bowl) 0.28(2239.0-banana) 0.20(1290.0-apple) 0.37(1006.0-sandwich) 0.26(1696.0-orange) 0.39(1673.0-broccoli) 0.23(1659.0-carrot) 0.32(625.0-hot dog) 0.57(1158.0-pizza) 0.39(1601.0-donut) 0.36(1269.0-cake) 0.31(8317.0-chair) 0.41(1265.0-couch) 0.35(1896.0-potted plant) 0.51(790.0-bed) 0.36(3128.0-dining table) 0.69(869.0-toilet) 0.62(1224.0-tv) 0.57(1125.0-laptop) 0.42(537.0-mouse) 0.33(1122.0-remote) 0.45(619.0-keyboard) 0.27(1468.0-cell phone) 0.55(303.0-microwave) 0.36(776.0-oven) 0.00(0.0-toaster) 0.44(1211.0-sink) 0.46(526.0-refrigerator) 0.18(4184.0-book) 0.61(1281.0-clock) 0.39(1559.0-vase) 0.22(330.0-scissors) 0.48(1076.0-teddy bear) 0.00(0.0-hair drier) 0.19(377.0-toothbrush)
2021-10-31 16:38:43,899 - mmdet - INFO - pseudo gt: 70994.0 1958.0 11674.0 2471.0 1293.0 1733.0 1190.0 2548.0 2868.0 3466.0 506.0 523.0 347.0 2648.0 2755.0 1250.0 1481.0 1740.0 2665.0 2138.0 1513.0 363.0 1534.0 1401.0 2391.0 3113.0 3255.0 1792.0 1830.0 706.0 1829.0 737.0 1678.0 2501.0 848.0 994.0 1585.0 1435.0 1350.0 6844.0 2182.0 5521.0 1455.0 2218.0 1629.0 3841.0 2545.0 1562.0 1252.0 1718.0 2131.0 1947.0 760.0 1563.0 1963.0 1640.0 10677.0 1595.0 2531.0 1081.0 4351.0 1160.0 1615.0 1342.0 632.0 1507.0 783.0 1747.0 462.0 905.0 62.0 1470.0 730.0 6346.0 1720.0 1807.0 366.0 1236.0 44.0 510.0
2021-10-31 16:38:43,899 - mmdet - INFO - pseudo mining: 13212.0 48.0 1298.0 157.0 138.0 272.0 106.0 13.0 81.0 356.0 174.0 253.0 7.0 11.0 67.0 172.0 122.0 192.0 490.0 202.0 467.0 76.0 565.0 579.0 2.0 156.0 0.0 91.0 38.0 204.0 23.0 0.0 464.0 498.0 58.0 199.0 190.0 44.0 310.0 452.0 112.0 361.0 3.0 6.0 1.0 206.0 31.0 14.0 17.0 23.0 70.0 29.0 1.0 163.0 160.0 19.0 49.0 6.0 83.0 5.0 46.0 345.0 404.0 173.0 154.0 30.0 63.0 66.0 54.0 17.0 0.0 133.0 27.0 3.0 811.0 126.0 0.0 72.0 0.0 1.0
2021-10-31 16:39:41,903 - mmdet - INFO - Evaluating bbox...
2021-10-31 16:40:50,964 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.443 | bicycle      | 0.188 | car            | 0.354 |
| motorcycle    | 0.283 | airplane     | 0.446 | bus            | 0.496 |
| train         | 0.479 | truck        | 0.221 | boat           | 0.170 |
| traffic light | 0.206 | fire hydrant | 0.524 | stop sign      | 0.519 |
| parking meter | 0.362 | bench        | 0.150 | bird           | 0.240 |
| cat           | 0.450 | dog          | 0.386 | horse          | 0.400 |
| sheep         | 0.318 | cow          | 0.407 | elephant       | 0.494 |
| bear          | 0.501 | zebra        | 0.507 | giraffe        | 0.546 |
| backpack      | 0.081 | umbrella     | 0.235 | handbag        | 0.064 |
| tie           | 0.168 | suitcase     | 0.147 | frisbee        | 0.501 |
| skis          | 0.113 | snowboard    | 0.145 | sports ball    | 0.360 |
| kite          | 0.283 | baseball bat | 0.145 | baseball glove | 0.247 |
| skateboard    | 0.295 | surfboard    | 0.208 | tennis racket  | 0.331 |
| bottle        | 0.283 | wine glass   | 0.252 | cup            | 0.307 |
| fork          | 0.137 | knife        | 0.057 | spoon          | 0.058 |
| bowl          | 0.314 | banana       | 0.143 | apple          | 0.087 |
| sandwich      | 0.202 | orange       | 0.219 | broccoli       | 0.164 |
| carrot        | 0.105 | hot dog      | 0.117 | pizza          | 0.353 |
| donut         | 0.286 | cake         | 0.190 | chair          | 0.157 |
| couch         | 0.266 | potted plant | 0.154 | bed            | 0.288 |
| dining table  | 0.172 | toilet       | 0.434 | tv             | 0.434 |
| laptop        | 0.428 | mouse        | 0.464 | remote         | 0.143 |
| keyboard      | 0.347 | cell phone   | 0.209 | microwave      | 0.384 |
| oven          | 0.183 | toaster      | 0.150 | sink           | 0.208 |
| refrigerator  | 0.331 | book         | 0.052 | clock          | 0.409 |
| vase          | 0.282 | scissors     | 0.211 | teddy bear     | 0.298 |
| hair drier    | 0.000 | toothbrush   | 0.056 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 16:41:49,378 - mmdet - INFO - Evaluating bbox...
2021-10-31 16:42:59,374 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.460 | bicycle      | 0.207 | car            | 0.371 |
| motorcycle    | 0.314 | airplane     | 0.501 | bus            | 0.531 |
| train         | 0.497 | truck        | 0.237 | boat           | 0.185 |
| traffic light | 0.242 | fire hydrant | 0.546 | stop sign      | 0.563 |
| parking meter | 0.423 | bench        | 0.158 | bird           | 0.269 |
| cat           | 0.498 | dog          | 0.457 | horse          | 0.448 |
| sheep         | 0.378 | cow          | 0.437 | elephant       | 0.541 |
| bear          | 0.575 | zebra        | 0.535 | giraffe        | 0.577 |
| backpack      | 0.101 | umbrella     | 0.258 | handbag        | 0.074 |
| tie           | 0.216 | suitcase     | 0.199 | frisbee        | 0.558 |
| skis          | 0.137 | snowboard    | 0.220 | sports ball    | 0.396 |
| kite          | 0.308 | baseball bat | 0.195 | baseball glove | 0.284 |
| skateboard    | 0.353 | surfboard    | 0.242 | tennis racket  | 0.352 |
| bottle        | 0.307 | wine glass   | 0.261 | cup            | 0.336 |
| fork          | 0.158 | knife        | 0.078 | spoon          | 0.073 |
| bowl          | 0.356 | banana       | 0.158 | apple          | 0.111 |
| sandwich      | 0.233 | orange       | 0.251 | broccoli       | 0.180 |
| carrot        | 0.112 | hot dog      | 0.173 | pizza          | 0.392 |
| donut         | 0.326 | cake         | 0.225 | chair          | 0.176 |
| couch         | 0.308 | potted plant | 0.172 | bed            | 0.320 |
| dining table  | 0.182 | toilet       | 0.483 | tv             | 0.472 |
| laptop        | 0.466 | mouse        | 0.510 | remote         | 0.177 |
| keyboard      | 0.376 | cell phone   | 0.248 | microwave      | 0.440 |
| oven          | 0.237 | toaster      | 0.224 | sink           | 0.264 |
| refrigerator  | 0.378 | book         | 0.059 | clock          | 0.426 |
| vase          | 0.292 | scissors     | 0.163 | teddy bear     | 0.327 |
| hair drier    | 0.000 | toothbrush   | 0.067 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 16:44:27,254 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 16:44:27,255 - mmdet - INFO - Iter [8000/40000]	lr: 2.000e-02, eta: 16:51:26, time: 1.711, data_time: 0.030, memory: 26484, bbox_mAP: 0.3040, bbox_mAP_50: 0.5040, bbox_mAP_75: 0.3250, bbox_mAP_s: 0.1710, bbox_mAP_m: 0.3330, bbox_mAP_l: 0.3950, bbox_mAP_copypaste: 0.304 0.504 0.325 0.171 0.333 0.395, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0508, loss_cls: 0.2504, acc: 91.6849, loss_bbox: 0.2834, loss_rpn_cls_unlabeled: 0.0939, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1929, acc_unlabeled: 91.7266, loss_bbox_unlabeled: 0.1783, losses_cls_ig_unlabeled: 0.1904, pseudo_num: 1.4926, pseudo_num_ig: 5.5461, pseudo_num_mining: 0.7806, pseudo_num(acc): 0.8748, pseudo_num ig(acc): 0.4797, loss: 1.3755
2021-10-31 16:45:50,534 - mmdet - INFO - Iter [8050/40000]	lr: 2.000e-02, eta: 17:11:42, time: 8.499, data_time: 6.865, memory: 26484, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0534, loss_cls: 0.2439, acc: 91.9407, loss_bbox: 0.2778, loss_rpn_cls_unlabeled: 0.0906, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1895, acc_unlabeled: 91.8785, loss_bbox_unlabeled: 0.1794, losses_cls_ig_unlabeled: 0.1826, pseudo_num: 1.4928, pseudo_num_ig: 5.5479, pseudo_num_mining: 0.7816, pseudo_num(acc): 0.8750, pseudo_num ig(acc): 0.4798, loss: 1.3543
2021-10-31 16:47:15,752 - mmdet - INFO - Iter [8100/40000]	lr: 2.000e-02, eta: 17:09:20, time: 1.708, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0410, loss_rpn_bbox: 0.0529, loss_cls: 0.2478, acc: 91.8854, loss_bbox: 0.2786, loss_rpn_cls_unlabeled: 0.0947, loss_rpn_bbox_unlabeled: 0.0983, loss_cls_unlabeled: 0.1981, acc_unlabeled: 91.6057, loss_bbox_unlabeled: 0.1839, losses_cls_ig_unlabeled: 0.1893, pseudo_num: 1.4930, pseudo_num_ig: 5.5489, pseudo_num_mining: 0.7825, pseudo_num(acc): 0.8751, pseudo_num ig(acc): 0.4798, loss: 1.3847
2021-10-31 16:48:40,134 - mmdet - INFO - Iter [8150/40000]	lr: 2.000e-02, eta: 17:06:54, time: 1.687, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0496, loss_cls: 0.2489, acc: 91.8860, loss_bbox: 0.2766, loss_rpn_cls_unlabeled: 0.0965, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1965, acc_unlabeled: 91.8970, loss_bbox_unlabeled: 0.1794, losses_cls_ig_unlabeled: 0.1847, pseudo_num: 1.4931, pseudo_num_ig: 5.5498, pseudo_num_mining: 0.7837, pseudo_num(acc): 0.8752, pseudo_num ig(acc): 0.4798, loss: 1.3703
2021-10-31 16:50:04,038 - mmdet - INFO - Iter [8200/40000]	lr: 2.000e-02, eta: 17:04:28, time: 1.677, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0405, loss_rpn_bbox: 0.0508, loss_cls: 0.2448, acc: 91.8834, loss_bbox: 0.2743, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1877, acc_unlabeled: 91.8264, loss_bbox_unlabeled: 0.1769, losses_cls_ig_unlabeled: 0.1871, pseudo_num: 1.4932, pseudo_num_ig: 5.5502, pseudo_num_mining: 0.7846, pseudo_num(acc): 0.8753, pseudo_num ig(acc): 0.4798, loss: 1.3508
2021-10-31 16:51:27,893 - mmdet - INFO - Iter [8250/40000]	lr: 2.000e-02, eta: 17:02:02, time: 1.678, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0537, loss_cls: 0.2609, acc: 91.5659, loss_bbox: 0.2858, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1997, acc_unlabeled: 91.6460, loss_bbox_unlabeled: 0.1849, losses_cls_ig_unlabeled: 0.1879, pseudo_num: 1.4934, pseudo_num_ig: 5.5520, pseudo_num_mining: 0.7857, pseudo_num(acc): 0.8753, pseudo_num ig(acc): 0.4798, loss: 1.4089
2021-10-31 16:52:51,335 - mmdet - INFO - Iter [8300/40000]	lr: 2.000e-02, eta: 16:59:36, time: 1.671, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0497, loss_cls: 0.2430, acc: 91.9703, loss_bbox: 0.2760, loss_rpn_cls_unlabeled: 0.0906, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1903, acc_unlabeled: 91.8549, loss_bbox_unlabeled: 0.1767, losses_cls_ig_unlabeled: 0.1843, pseudo_num: 1.4935, pseudo_num_ig: 5.5529, pseudo_num_mining: 0.7867, pseudo_num(acc): 0.8753, pseudo_num ig(acc): 0.4798, loss: 1.3482
2021-10-31 16:54:14,886 - mmdet - INFO - Iter [8350/40000]	lr: 2.000e-02, eta: 16:57:10, time: 1.669, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0550, loss_cls: 0.2599, acc: 91.4856, loss_bbox: 0.2867, loss_rpn_cls_unlabeled: 0.0935, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1862, acc_unlabeled: 91.9397, loss_bbox_unlabeled: 0.1698, losses_cls_ig_unlabeled: 0.1802, pseudo_num: 1.4933, pseudo_num_ig: 5.5540, pseudo_num_mining: 0.7875, pseudo_num(acc): 0.8754, pseudo_num ig(acc): 0.4798, loss: 1.3740
2021-10-31 16:55:41,165 - mmdet - INFO - Iter [8400/40000]	lr: 2.000e-02, eta: 16:54:54, time: 1.722, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0531, loss_cls: 0.2534, acc: 91.6334, loss_bbox: 0.2861, loss_rpn_cls_unlabeled: 0.0931, loss_rpn_bbox_unlabeled: 0.0984, loss_cls_unlabeled: 0.1917, acc_unlabeled: 91.8530, loss_bbox_unlabeled: 0.1807, losses_cls_ig_unlabeled: 0.1854, pseudo_num: 1.4932, pseudo_num_ig: 5.5548, pseudo_num_mining: 0.7884, pseudo_num(acc): 0.8755, pseudo_num ig(acc): 0.4799, loss: 1.3841
2021-10-31 16:57:06,343 - mmdet - INFO - Iter [8450/40000]	lr: 2.000e-02, eta: 16:52:37, time: 1.709, data_time: 0.035, memory: 26484, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0535, loss_cls: 0.2458, acc: 91.7941, loss_bbox: 0.2820, loss_rpn_cls_unlabeled: 0.0957, loss_rpn_bbox_unlabeled: 0.0982, loss_cls_unlabeled: 0.1957, acc_unlabeled: 91.7650, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1848, pseudo_num: 1.4934, pseudo_num_ig: 5.5562, pseudo_num_mining: 0.7896, pseudo_num(acc): 0.8755, pseudo_num ig(acc): 0.4799, loss: 1.3798
2021-10-31 16:58:30,844 - mmdet - INFO - pseudo pos: 0.98(15929.0-person) 0.93(395.0-bicycle) 0.94(2678.0-car) 0.99(489.0-motorcycle) 1.00(258.0-airplane) 0.99(330.0-bus) 0.98(307.0-train) 0.76(609.0-truck) 0.75(632.0-boat) 0.92(808.0-traffic light) 0.98(96.0-fire hydrant) 1.00(108.0-stop sign) 0.92(79.0-parking meter) 0.71(568.0-bench) 0.91(595.0-bird) 0.99(268.0-cat) 0.98(294.0-dog) 0.99(405.0-horse) 0.94(554.0-sheep) 0.94(429.0-cow) 1.00(302.0-elephant) 1.00(100.0-bear) 0.99(293.0-zebra) 0.99(314.0-giraffe) 0.53(524.0-backpack) 0.81(756.0-umbrella) 0.53(690.0-handbag) 0.92(333.0-tie) 0.82(325.0-suitcase) 0.99(124.0-frisbee) 0.70(395.0-skis) 0.78(138.0-snowboard) 0.97(332.0-sports ball) 0.91(451.0-kite) 0.89(199.0-baseball bat) 0.93(197.0-baseball glove) 0.99(345.0-skateboard) 0.88(394.0-surfboard) 0.99(245.0-tennis racket) 0.87(1446.0-bottle) 0.96(416.0-wine glass) 0.90(1356.0-cup) 0.75(291.0-fork) 0.50(507.0-knife) 0.51(381.0-spoon) 0.84(913.0-bowl) 0.69(598.0-banana) 0.57(305.0-apple) 0.84(322.0-sandwich) 0.70(429.0-orange) 0.71(461.0-broccoli) 0.59(464.0-carrot) 0.76(182.0-hot dog) 0.95(339.0-pizza) 0.93(383.0-donut) 0.86(326.0-cake) 0.79(2338.0-chair) 0.84(367.0-couch) 0.75(585.0-potted plant) 0.93(222.0-bed) 0.73(1261.0-dining table) 0.96(223.0-toilet) 0.98(287.0-tv) 0.97(288.0-laptop) 0.97(140.0-mouse) 0.72(263.0-remote) 0.99(175.0-keyboard) 0.86(398.0-cell phone) 0.97(91.0-microwave) 0.89(215.0-oven) 0.00(0.0-toaster) 0.84(325.0-sink) 0.97(156.0-refrigerator) 0.34(1179.0-book) 0.99(371.0-clock) 0.91(399.0-vase) 0.77(103.0-scissors) 0.94(298.0-teddy bear) 0.00(0.0-hair drier) 0.51(113.0-toothbrush)
2021-10-31 16:58:30,845 - mmdet - INFO - pseudo ig: 0.64(57279.0-person) 0.44(1341.0-bicycle) 0.50(9783.0-car) 0.56(1907.0-motorcycle) 0.70(962.0-airplane) 0.66(1171.0-bus) 0.59(974.0-train) 0.37(2193.0-truck) 0.35(2377.0-boat) 0.39(3114.0-traffic light) 0.71(403.0-fire hydrant) 0.58(455.0-stop sign) 0.35(323.0-parking meter) 0.22(2090.0-bench) 0.32(2256.0-bird) 0.77(1047.0-cat) 0.67(1120.0-dog) 0.61(1386.0-horse) 0.55(2299.0-sheep) 0.52(2052.0-cow) 0.78(1191.0-elephant) 0.67(310.0-bear) 0.79(1244.0-zebra) 0.89(1062.0-giraffe) 0.23(1971.0-backpack) 0.41(2783.0-umbrella) 0.20(2835.0-handbag) 0.41(1225.0-tie) 0.41(1233.0-suitcase) 0.62(540.0-frisbee) 0.36(1447.0-skis) 0.31(582.0-snowboard) 0.40(1466.0-sports ball) 0.51(1731.0-kite) 0.38(780.0-baseball bat) 0.43(819.0-baseball glove) 0.58(1192.0-skateboard) 0.43(1446.0-surfboard) 0.65(1022.0-tennis racket) 0.42(5424.0-bottle) 0.45(1680.0-wine glass) 0.35(5484.0-cup) 0.29(1266.0-fork) 0.22(1900.0-knife) 0.18(1550.0-spoon) 0.39(3758.0-bowl) 0.28(2350.0-banana) 0.20(1329.0-apple) 0.37(1061.0-sandwich) 0.26(1821.0-orange) 0.39(1802.0-broccoli) 0.23(1766.0-carrot) 0.31(647.0-hot dog) 0.58(1245.0-pizza) 0.39(1693.0-donut) 0.36(1357.0-cake) 0.31(8834.0-chair) 0.41(1339.0-couch) 0.36(2059.0-potted plant) 0.52(829.0-bed) 0.36(3358.0-dining table) 0.69(923.0-toilet) 0.63(1287.0-tv) 0.57(1216.0-laptop) 0.43(562.0-mouse) 0.33(1183.0-remote) 0.46(654.0-keyboard) 0.28(1537.0-cell phone) 0.56(325.0-microwave) 0.36(812.0-oven) 0.00(0.0-toaster) 0.44(1286.0-sink) 0.45(556.0-refrigerator) 0.18(4507.0-book) 0.60(1399.0-clock) 0.40(1682.0-vase) 0.22(347.0-scissors) 0.48(1115.0-teddy bear) 0.00(0.0-hair drier) 0.19(391.0-toothbrush)
2021-10-31 16:58:30,845 - mmdet - INFO - pseudo gt: 75047.0 2054.0 12396.0 2587.0 1371.0 1838.0 1271.0 2735.0 3013.0 3647.0 532.0 558.0 360.0 2799.0 2881.0 1330.0 1588.0 1830.0 2821.0 2292.0 1581.0 388.0 1710.0 1518.0 2521.0 3297.0 3484.0 1911.0 1928.0 743.0 1938.0 777.0 1755.0 2606.0 895.0 1046.0 1691.0 1516.0 1430.0 7221.0 2315.0 5854.0 1549.0 2353.0 1715.0 4074.0 2670.0 1635.0 1318.0 1798.0 2282.0 2073.0 798.0 1677.0 2066.0 1743.0 11267.0 1698.0 2698.0 1142.0 4654.0 1254.0 1698.0 1443.0 671.0 1611.0 840.0 1860.0 496.0 947.0 68.0 1578.0 768.0 6750.0 1844.0 1950.0 390.0 1289.0 46.0 539.0
2021-10-31 16:58:30,845 - mmdet - INFO - pseudo mining: 14139.0 51.0 1382.0 166.0 152.0 292.0 114.0 14.0 86.0 374.0 184.0 273.0 7.0 13.0 70.0 183.0 136.0 208.0 517.0 233.0 495.0 78.0 636.0 630.0 2.0 159.0 0.0 100.0 44.0 218.0 24.0 0.0 488.0 515.0 61.0 208.0 200.0 46.0 331.0 484.0 120.0 387.0 4.0 6.0 1.0 220.0 32.0 14.0 18.0 25.0 77.0 30.0 1.0 175.0 176.0 22.0 55.0 6.0 91.0 7.0 48.0 372.0 432.0 184.0 167.0 34.0 71.0 74.0 59.0 21.0 0.0 155.0 27.0 3.0 893.0 136.0 0.0 72.0 0.0 1.0
2021-10-31 16:58:32,453 - mmdet - INFO - Iter [8500/40000]	lr: 2.000e-02, eta: 16:50:23, time: 1.722, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0514, loss_cls: 0.2401, acc: 92.0919, loss_bbox: 0.2726, loss_rpn_cls_unlabeled: 0.0974, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.1924, acc_unlabeled: 91.8882, loss_bbox_unlabeled: 0.1795, losses_cls_ig_unlabeled: 0.1839, pseudo_num: 1.4937, pseudo_num_ig: 5.5581, pseudo_num_mining: 0.7906, pseudo_num(acc): 0.8756, pseudo_num ig(acc): 0.4799, loss: 1.3551
2021-10-31 16:59:56,517 - mmdet - INFO - Iter [8550/40000]	lr: 2.000e-02, eta: 16:48:02, time: 1.678, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0513, loss_cls: 0.2382, acc: 92.0024, loss_bbox: 0.2701, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1942, acc_unlabeled: 91.8219, loss_bbox_unlabeled: 0.1813, losses_cls_ig_unlabeled: 0.1830, pseudo_num: 1.4938, pseudo_num_ig: 5.5586, pseudo_num_mining: 0.7915, pseudo_num(acc): 0.8757, pseudo_num ig(acc): 0.4799, loss: 1.3485
2021-10-31 17:01:20,922 - mmdet - INFO - Iter [8600/40000]	lr: 2.000e-02, eta: 16:45:43, time: 1.690, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0505, loss_cls: 0.2411, acc: 92.0385, loss_bbox: 0.2725, loss_rpn_cls_unlabeled: 0.0952, loss_rpn_bbox_unlabeled: 0.1012, loss_cls_unlabeled: 0.1903, acc_unlabeled: 91.9042, loss_bbox_unlabeled: 0.1768, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4937, pseudo_num_ig: 5.5590, pseudo_num_mining: 0.7924, pseudo_num(acc): 0.8756, pseudo_num ig(acc): 0.4799, loss: 1.3503
2021-10-31 17:02:46,571 - mmdet - INFO - Iter [8650/40000]	lr: 2.000e-02, eta: 16:43:29, time: 1.714, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0498, loss_cls: 0.2321, acc: 92.3743, loss_bbox: 0.2652, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.1904, acc_unlabeled: 91.8726, loss_bbox_unlabeled: 0.1790, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4939, pseudo_num_ig: 5.5599, pseudo_num_mining: 0.7933, pseudo_num(acc): 0.8757, pseudo_num ig(acc): 0.4799, loss: 1.3294
2021-10-31 17:04:11,699 - mmdet - INFO - Iter [8700/40000]	lr: 2.000e-02, eta: 16:41:14, time: 1.702, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0527, loss_cls: 0.2462, acc: 91.8871, loss_bbox: 0.2766, loss_rpn_cls_unlabeled: 0.1000, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.2015, acc_unlabeled: 91.6494, loss_bbox_unlabeled: 0.1844, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.4944, pseudo_num_ig: 5.5620, pseudo_num_mining: 0.7945, pseudo_num(acc): 0.8757, pseudo_num ig(acc): 0.4800, loss: 1.3896
2021-10-31 17:05:36,987 - mmdet - INFO - Iter [8750/40000]	lr: 2.000e-02, eta: 16:39:00, time: 1.705, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0531, loss_cls: 0.2450, acc: 91.9058, loss_bbox: 0.2774, loss_rpn_cls_unlabeled: 0.0950, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.1957, acc_unlabeled: 91.6222, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1848, pseudo_num: 1.4949, pseudo_num_ig: 5.5644, pseudo_num_mining: 0.7954, pseudo_num(acc): 0.8758, pseudo_num ig(acc): 0.4799, loss: 1.3727
2021-10-31 17:07:02,556 - mmdet - INFO - Iter [8800/40000]	lr: 2.000e-02, eta: 16:36:47, time: 1.712, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0540, loss_cls: 0.2468, acc: 91.8834, loss_bbox: 0.2743, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1878, acc_unlabeled: 92.0969, loss_bbox_unlabeled: 0.1763, losses_cls_ig_unlabeled: 0.1764, pseudo_num: 1.4950, pseudo_num_ig: 5.5650, pseudo_num_mining: 0.7962, pseudo_num(acc): 0.8759, pseudo_num ig(acc): 0.4799, loss: 1.3431
2021-10-31 17:08:28,500 - mmdet - INFO - Iter [8850/40000]	lr: 2.000e-02, eta: 16:34:36, time: 1.717, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0522, loss_cls: 0.2449, acc: 91.9913, loss_bbox: 0.2733, loss_rpn_cls_unlabeled: 0.0916, loss_rpn_bbox_unlabeled: 0.0988, loss_cls_unlabeled: 0.1909, acc_unlabeled: 91.7130, loss_bbox_unlabeled: 0.1780, losses_cls_ig_unlabeled: 0.1880, pseudo_num: 1.4950, pseudo_num_ig: 5.5656, pseudo_num_mining: 0.7972, pseudo_num(acc): 0.8759, pseudo_num ig(acc): 0.4800, loss: 1.3584
2021-10-31 17:09:54,534 - mmdet - INFO - Iter [8900/40000]	lr: 2.000e-02, eta: 16:32:26, time: 1.722, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0522, loss_cls: 0.2442, acc: 92.0042, loss_bbox: 0.2688, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1914, acc_unlabeled: 91.6025, loss_bbox_unlabeled: 0.1813, losses_cls_ig_unlabeled: 0.1856, pseudo_num: 1.4951, pseudo_num_ig: 5.5668, pseudo_num_mining: 0.7982, pseudo_num(acc): 0.8759, pseudo_num ig(acc): 0.4800, loss: 1.3578
2021-10-31 17:11:20,703 - mmdet - INFO - Iter [8950/40000]	lr: 2.000e-02, eta: 16:30:18, time: 1.725, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0513, loss_cls: 0.2478, acc: 91.8990, loss_bbox: 0.2721, loss_rpn_cls_unlabeled: 0.0945, loss_rpn_bbox_unlabeled: 0.1027, loss_cls_unlabeled: 0.1940, acc_unlabeled: 91.8594, loss_bbox_unlabeled: 0.1850, losses_cls_ig_unlabeled: 0.1851, pseudo_num: 1.4954, pseudo_num_ig: 5.5686, pseudo_num_mining: 0.7992, pseudo_num(acc): 0.8760, pseudo_num ig(acc): 0.4800, loss: 1.3720
2021-10-31 17:12:45,569 - mmdet - INFO - pseudo pos: 0.98(16895.0-person) 0.93(424.0-bicycle) 0.94(2833.0-car) 0.99(524.0-motorcycle) 1.00(275.0-airplane) 0.99(345.0-bus) 0.98(324.0-train) 0.77(638.0-truck) 0.75(693.0-boat) 0.92(871.0-traffic light) 0.98(98.0-fire hydrant) 1.00(122.0-stop sign) 0.93(81.0-parking meter) 0.71(618.0-bench) 0.91(638.0-bird) 0.98(285.0-cat) 0.98(308.0-dog) 0.99(432.0-horse) 0.95(580.0-sheep) 0.94(454.0-cow) 1.00(326.0-elephant) 1.00(108.0-bear) 0.99(301.0-zebra) 0.99(337.0-giraffe) 0.54(556.0-backpack) 0.82(794.0-umbrella) 0.53(729.0-handbag) 0.93(347.0-tie) 0.82(352.0-suitcase) 0.99(133.0-frisbee) 0.71(424.0-skis) 0.79(145.0-snowboard) 0.97(361.0-sports ball) 0.91(471.0-kite) 0.90(212.0-baseball bat) 0.94(210.0-baseball glove) 0.99(374.0-skateboard) 0.88(416.0-surfboard) 0.99(267.0-tennis racket) 0.87(1495.0-bottle) 0.96(450.0-wine glass) 0.90(1420.0-cup) 0.76(308.0-fork) 0.50(541.0-knife) 0.51(399.0-spoon) 0.85(978.0-bowl) 0.69(647.0-banana) 0.57(315.0-apple) 0.83(344.0-sandwich) 0.69(459.0-orange) 0.71(493.0-broccoli) 0.59(496.0-carrot) 0.76(194.0-hot dog) 0.95(359.0-pizza) 0.93(406.0-donut) 0.86(361.0-cake) 0.79(2491.0-chair) 0.84(387.0-couch) 0.74(620.0-potted plant) 0.94(237.0-bed) 0.73(1345.0-dining table) 0.95(235.0-toilet) 0.98(306.0-tv) 0.96(303.0-laptop) 0.97(148.0-mouse) 0.73(281.0-remote) 0.99(182.0-keyboard) 0.86(416.0-cell phone) 0.97(97.0-microwave) 0.89(232.0-oven) 0.00(0.0-toaster) 0.84(339.0-sink) 0.97(167.0-refrigerator) 0.35(1234.0-book) 0.99(385.0-clock) 0.91(433.0-vase) 0.76(112.0-scissors) 0.94(315.0-teddy bear) 0.00(0.0-hair drier) 0.51(115.0-toothbrush)
2021-10-31 17:12:45,569 - mmdet - INFO - pseudo ig: 0.64(60971.0-person) 0.44(1457.0-bicycle) 0.50(10412.0-car) 0.56(1992.0-motorcycle) 0.69(1026.0-airplane) 0.66(1222.0-bus) 0.59(1031.0-train) 0.37(2309.0-truck) 0.35(2588.0-boat) 0.39(3343.0-traffic light) 0.72(429.0-fire hydrant) 0.59(466.0-stop sign) 0.35(339.0-parking meter) 0.22(2239.0-bench) 0.32(2421.0-bird) 0.76(1109.0-cat) 0.68(1188.0-dog) 0.61(1465.0-horse) 0.55(2415.0-sheep) 0.52(2181.0-cow) 0.78(1266.0-elephant) 0.68(317.0-bear) 0.79(1296.0-zebra) 0.88(1148.0-giraffe) 0.23(2076.0-backpack) 0.41(2914.0-umbrella) 0.21(3029.0-handbag) 0.43(1302.0-tie) 0.41(1321.0-suitcase) 0.62(568.0-frisbee) 0.35(1562.0-skis) 0.32(615.0-snowboard) 0.39(1552.0-sports ball) 0.51(1799.0-kite) 0.38(822.0-baseball bat) 0.44(857.0-baseball glove) 0.58(1270.0-skateboard) 0.43(1540.0-surfboard) 0.65(1092.0-tennis racket) 0.43(5667.0-bottle) 0.46(1810.0-wine glass) 0.36(5769.0-cup) 0.29(1329.0-fork) 0.22(2032.0-knife) 0.19(1648.0-spoon) 0.39(3982.0-bowl) 0.27(2561.0-banana) 0.20(1384.0-apple) 0.37(1127.0-sandwich) 0.26(1947.0-orange) 0.39(1919.0-broccoli) 0.23(1903.0-carrot) 0.31(669.0-hot dog) 0.57(1313.0-pizza) 0.39(1820.0-donut) 0.36(1464.0-cake) 0.31(9331.0-chair) 0.41(1409.0-couch) 0.36(2188.0-potted plant) 0.51(874.0-bed) 0.36(3562.0-dining table) 0.70(954.0-toilet) 0.63(1372.0-tv) 0.57(1278.0-laptop) 0.44(580.0-mouse) 0.33(1250.0-remote) 0.46(686.0-keyboard) 0.28(1604.0-cell phone) 0.56(341.0-microwave) 0.36(860.0-oven) 0.00(0.0-toaster) 0.44(1361.0-sink) 0.46(587.0-refrigerator) 0.18(4761.0-book) 0.60(1473.0-clock) 0.39(1795.0-vase) 0.21(376.0-scissors) 0.48(1173.0-teddy bear) 0.00(0.0-hair drier) 0.19(399.0-toothbrush)
2021-10-31 17:12:45,569 - mmdet - INFO - pseudo gt: 79557.0 2199.0 13185.0 2702.0 1448.0 1939.0 1347.0 2889.0 3231.0 3895.0 564.0 598.0 383.0 2942.0 3072.0 1402.0 1693.0 1946.0 2972.0 2429.0 1675.0 411.0 1782.0 1612.0 2663.0 3472.0 3698.0 2041.0 2033.0 786.0 2055.0 850.0 1855.0 2698.0 965.0 1127.0 1819.0 1637.0 1526.0 7561.0 2510.0 6228.0 1642.0 2494.0 1819.0 4357.0 2869.0 1719.0 1410.0 1915.0 2408.0 2209.0 851.0 1769.0 2176.0 1898.0 11922.0 1800.0 2850.0 1215.0 4938.0 1314.0 1800.0 1514.0 699.0 1715.0 882.0 1971.0 517.0 1002.0 70.0 1681.0 812.0 7135.0 1942.0 2060.0 410.0 1360.0 51.0 560.0
2021-10-31 17:12:45,569 - mmdet - INFO - pseudo mining: 15189.0 58.0 1476.0 171.0 159.0 309.0 122.0 15.0 91.0 397.0 197.0 283.0 7.0 13.0 74.0 195.0 152.0 225.0 545.0 262.0 528.0 82.0 662.0 671.0 2.0 163.0 0.0 108.0 46.0 230.0 26.0 0.0 509.0 539.0 66.0 219.0 220.0 58.0 360.0 510.0 127.0 428.0 4.0 6.0 2.0 238.0 34.0 14.0 19.0 25.0 81.0 32.0 1.0 189.0 208.0 25.0 58.0 7.0 100.0 9.0 52.0 389.0 460.0 192.0 173.0 40.0 79.0 82.0 62.0 21.0 0.0 174.0 29.0 3.0 941.0 144.0 0.0 77.0 0.0 1.0
2021-10-31 17:14:16,482 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 17:14:16,483 - mmdet - INFO - Iter [9000/40000]	lr: 2.000e-02, eta: 16:28:10, time: 1.729, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0510, loss_cls: 0.2464, acc: 91.9452, loss_bbox: 0.2747, loss_rpn_cls_unlabeled: 0.0955, loss_rpn_bbox_unlabeled: 0.1019, loss_cls_unlabeled: 0.2019, acc_unlabeled: 91.5990, loss_bbox_unlabeled: 0.1862, losses_cls_ig_unlabeled: 0.1885, pseudo_num: 1.4957, pseudo_num_ig: 5.5709, pseudo_num_mining: 0.8005, pseudo_num(acc): 0.8760, pseudo_num ig(acc): 0.4801, loss: 1.3874
2021-10-31 17:15:39,707 - mmdet - INFO - Iter [9050/40000]	lr: 2.000e-02, eta: 16:30:57, time: 3.449, data_time: 1.816, memory: 26484, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0512, loss_cls: 0.2502, acc: 91.7926, loss_bbox: 0.2839, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1931, acc_unlabeled: 91.9066, loss_bbox_unlabeled: 0.1816, losses_cls_ig_unlabeled: 0.1850, pseudo_num: 1.4960, pseudo_num_ig: 5.5720, pseudo_num_mining: 0.8015, pseudo_num(acc): 0.8761, pseudo_num ig(acc): 0.4800, loss: 1.3678
2021-10-31 17:17:04,365 - mmdet - INFO - Iter [9100/40000]	lr: 2.000e-02, eta: 16:28:43, time: 1.693, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0518, loss_cls: 0.2447, acc: 91.9369, loss_bbox: 0.2785, loss_rpn_cls_unlabeled: 0.0926, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1902, acc_unlabeled: 91.7496, loss_bbox_unlabeled: 0.1816, losses_cls_ig_unlabeled: 0.1859, pseudo_num: 1.4960, pseudo_num_ig: 5.5720, pseudo_num_mining: 0.8022, pseudo_num(acc): 0.8762, pseudo_num ig(acc): 0.4800, loss: 1.3579
2021-10-31 17:18:29,977 - mmdet - INFO - Iter [9150/40000]	lr: 2.000e-02, eta: 16:26:32, time: 1.712, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0509, loss_cls: 0.2473, acc: 91.8210, loss_bbox: 0.2795, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.0984, loss_cls_unlabeled: 0.1948, acc_unlabeled: 91.8517, loss_bbox_unlabeled: 0.1804, losses_cls_ig_unlabeled: 0.1880, pseudo_num: 1.4958, pseudo_num_ig: 5.5727, pseudo_num_mining: 0.8031, pseudo_num(acc): 0.8763, pseudo_num ig(acc): 0.4801, loss: 1.3696
2021-10-31 17:19:56,393 - mmdet - INFO - Iter [9200/40000]	lr: 2.000e-02, eta: 16:24:24, time: 1.727, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0504, loss_cls: 0.2382, acc: 92.0272, loss_bbox: 0.2769, loss_rpn_cls_unlabeled: 0.0946, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.1929, acc_unlabeled: 92.0277, loss_bbox_unlabeled: 0.1826, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.4959, pseudo_num_ig: 5.5730, pseudo_num_mining: 0.8040, pseudo_num(acc): 0.8764, pseudo_num ig(acc): 0.4802, loss: 1.3542
2021-10-31 17:21:21,408 - mmdet - INFO - Iter [9250/40000]	lr: 2.000e-02, eta: 16:22:12, time: 1.704, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0521, loss_cls: 0.2455, acc: 91.8585, loss_bbox: 0.2734, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0981, loss_cls_unlabeled: 0.1967, acc_unlabeled: 91.6237, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1870, pseudo_num: 1.4962, pseudo_num_ig: 5.5742, pseudo_num_mining: 0.8053, pseudo_num(acc): 0.8765, pseudo_num ig(acc): 0.4802, loss: 1.3664
2021-10-31 17:22:47,026 - mmdet - INFO - Iter [9300/40000]	lr: 2.000e-02, eta: 16:20:03, time: 1.711, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0525, loss_cls: 0.2453, acc: 91.9727, loss_bbox: 0.2726, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1924, acc_unlabeled: 92.1011, loss_bbox_unlabeled: 0.1794, losses_cls_ig_unlabeled: 0.1757, pseudo_num: 1.4964, pseudo_num_ig: 5.5736, pseudo_num_mining: 0.8061, pseudo_num(acc): 0.8766, pseudo_num ig(acc): 0.4803, loss: 1.3435
2021-10-31 17:24:11,803 - mmdet - INFO - Iter [9350/40000]	lr: 2.000e-02, eta: 16:17:50, time: 1.689, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0528, loss_cls: 0.2495, acc: 91.7969, loss_bbox: 0.2830, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1878, acc_unlabeled: 92.0276, loss_bbox_unlabeled: 0.1773, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4965, pseudo_num_ig: 5.5732, pseudo_num_mining: 0.8070, pseudo_num(acc): 0.8767, pseudo_num ig(acc): 0.4804, loss: 1.3591
2021-10-31 17:25:37,354 - mmdet - INFO - Iter [9400/40000]	lr: 2.000e-02, eta: 16:15:42, time: 1.717, data_time: 0.036, memory: 26484, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0506, loss_cls: 0.2432, acc: 91.9391, loss_bbox: 0.2795, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1931, acc_unlabeled: 92.1034, loss_bbox_unlabeled: 0.1826, losses_cls_ig_unlabeled: 0.1848, pseudo_num: 1.4965, pseudo_num_ig: 5.5729, pseudo_num_mining: 0.8077, pseudo_num(acc): 0.8768, pseudo_num ig(acc): 0.4804, loss: 1.3562
2021-10-31 17:27:01,247 - mmdet - INFO - Iter [9450/40000]	lr: 2.000e-02, eta: 16:13:28, time: 1.675, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0501, loss_cls: 0.2357, acc: 92.2246, loss_bbox: 0.2656, loss_rpn_cls_unlabeled: 0.0952, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1978, acc_unlabeled: 91.7672, loss_bbox_unlabeled: 0.1904, losses_cls_ig_unlabeled: 0.1855, pseudo_num: 1.4968, pseudo_num_ig: 5.5729, pseudo_num_mining: 0.8087, pseudo_num(acc): 0.8768, pseudo_num ig(acc): 0.4804, loss: 1.3545
2021-10-31 17:28:24,887 - mmdet - INFO - pseudo pos: 0.98(17905.0-person) 0.93(443.0-bicycle) 0.94(2993.0-car) 0.99(543.0-motorcycle) 1.00(289.0-airplane) 0.99(361.0-bus) 0.99(348.0-train) 0.77(680.0-truck) 0.75(724.0-boat) 0.92(921.0-traffic light) 0.98(104.0-fire hydrant) 1.00(125.0-stop sign) 0.93(82.0-parking meter) 0.71(650.0-bench) 0.92(666.0-bird) 0.98(300.0-cat) 0.98(321.0-dog) 0.99(444.0-horse) 0.94(614.0-sheep) 0.94(480.0-cow) 1.00(337.0-elephant) 0.99(114.0-bear) 0.99(320.0-zebra) 0.99(360.0-giraffe) 0.54(573.0-backpack) 0.82(827.0-umbrella) 0.54(771.0-handbag) 0.93(378.0-tie) 0.82(377.0-suitcase) 0.99(141.0-frisbee) 0.71(454.0-skis) 0.79(155.0-snowboard) 0.97(369.0-sports ball) 0.92(506.0-kite) 0.90(229.0-baseball bat) 0.94(223.0-baseball glove) 0.98(397.0-skateboard) 0.89(441.0-surfboard) 0.99(285.0-tennis racket) 0.87(1560.0-bottle) 0.96(476.0-wine glass) 0.90(1491.0-cup) 0.76(317.0-fork) 0.50(556.0-knife) 0.51(420.0-spoon) 0.85(1051.0-bowl) 0.70(679.0-banana) 0.58(338.0-apple) 0.83(357.0-sandwich) 0.70(476.0-orange) 0.71(521.0-broccoli) 0.58(513.0-carrot) 0.76(200.0-hot dog) 0.95(388.0-pizza) 0.93(425.0-donut) 0.86(373.0-cake) 0.79(2649.0-chair) 0.83(412.0-couch) 0.74(654.0-potted plant) 0.94(251.0-bed) 0.72(1416.0-dining table) 0.95(251.0-toilet) 0.98(326.0-tv) 0.97(327.0-laptop) 0.97(156.0-mouse) 0.73(293.0-remote) 0.99(188.0-keyboard) 0.86(431.0-cell phone) 0.97(101.0-microwave) 0.89(247.0-oven) 0.00(1.0-toaster) 0.83(357.0-sink) 0.97(176.0-refrigerator) 0.35(1284.0-book) 0.99(412.0-clock) 0.91(461.0-vase) 0.76(114.0-scissors) 0.94(338.0-teddy bear) 0.00(0.0-hair drier) 0.52(123.0-toothbrush)
2021-10-31 17:28:24,888 - mmdet - INFO - pseudo ig: 0.64(64313.0-person) 0.44(1540.0-bicycle) 0.50(10947.0-car) 0.57(2090.0-motorcycle) 0.69(1081.0-airplane) 0.67(1279.0-bus) 0.59(1088.0-train) 0.36(2451.0-truck) 0.35(2719.0-boat) 0.39(3511.0-traffic light) 0.72(471.0-fire hydrant) 0.59(495.0-stop sign) 0.35(348.0-parking meter) 0.22(2370.0-bench) 0.32(2511.0-bird) 0.76(1169.0-cat) 0.68(1249.0-dog) 0.61(1532.0-horse) 0.54(2541.0-sheep) 0.52(2265.0-cow) 0.78(1336.0-elephant) 0.67(340.0-bear) 0.78(1377.0-zebra) 0.88(1202.0-giraffe) 0.24(2154.0-backpack) 0.41(3085.0-umbrella) 0.21(3186.0-handbag) 0.43(1363.0-tie) 0.41(1381.0-suitcase) 0.62(612.0-frisbee) 0.35(1652.0-skis) 0.32(638.0-snowboard) 0.40(1640.0-sports ball) 0.51(1910.0-kite) 0.38(859.0-baseball bat) 0.43(902.0-baseball glove) 0.58(1354.0-skateboard) 0.44(1639.0-surfboard) 0.65(1152.0-tennis racket) 0.43(5937.0-bottle) 0.46(1951.0-wine glass) 0.36(6036.0-cup) 0.29(1396.0-fork) 0.22(2082.0-knife) 0.19(1756.0-spoon) 0.39(4224.0-bowl) 0.28(2711.0-banana) 0.19(1494.0-apple) 0.37(1160.0-sandwich) 0.26(2009.0-orange) 0.39(1985.0-broccoli) 0.23(2015.0-carrot) 0.32(699.0-hot dog) 0.56(1410.0-pizza) 0.39(1897.0-donut) 0.36(1520.0-cake) 0.31(9894.0-chair) 0.41(1483.0-couch) 0.36(2317.0-potted plant) 0.52(924.0-bed) 0.36(3807.0-dining table) 0.70(1005.0-toilet) 0.63(1447.0-tv) 0.57(1334.0-laptop) 0.44(604.0-mouse) 0.33(1316.0-remote) 0.46(716.0-keyboard) 0.29(1684.0-cell phone) 0.57(358.0-microwave) 0.36(912.0-oven) 0.00(0.0-toaster) 0.45(1419.0-sink) 0.45(617.0-refrigerator) 0.19(5002.0-book) 0.61(1550.0-clock) 0.39(1893.0-vase) 0.22(385.0-scissors) 0.48(1246.0-teddy bear) 0.00(0.0-hair drier) 0.20(427.0-toothbrush)
2021-10-31 17:28:24,888 - mmdet - INFO - pseudo gt: 84062.0 2303.0 13829.0 2850.0 1536.0 2022.0 1420.0 3041.0 3399.0 4060.0 601.0 630.0 398.0 3119.0 3213.0 1471.0 1786.0 2012.0 3059.0 2532.0 1760.0 435.0 1874.0 1686.0 2789.0 3653.0 3910.0 2159.0 2141.0 835.0 2162.0 903.0 1953.0 2875.0 1008.0 1183.0 1928.0 1795.0 1612.0 7927.0 2679.0 6592.0 1728.0 2582.0 1928.0 4605.0 3030.0 1817.0 1460.0 2005.0 2484.0 2324.0 906.0 1872.0 2271.0 1967.0 12532.0 1885.0 3000.0 1288.0 5198.0 1380.0 1891.0 1596.0 728.0 1793.0 921.0 2067.0 545.0 1060.0 73.0 1765.0 849.0 7505.0 2065.0 2186.0 426.0 1442.0 53.0 617.0
2021-10-31 17:28:24,888 - mmdet - INFO - pseudo mining: 16190.0 63.0 1552.0 184.0 170.0 327.0 128.0 16.0 95.0 412.0 217.0 304.0 8.0 14.0 74.0 203.0 162.0 239.0 561.0 270.0 560.0 88.0 704.0 708.0 2.0 178.0 0.0 110.0 48.0 260.0 28.0 0.0 556.0 572.0 67.0 231.0 233.0 60.0 379.0 544.0 139.0 471.0 4.0 6.0 2.0 262.0 38.0 14.0 20.0 28.0 82.0 33.0 1.0 207.0 218.0 25.0 67.0 7.0 109.0 12.0 56.0 416.0 486.0 203.0 184.0 43.0 84.0 88.0 70.0 25.0 0.0 190.0 30.0 4.0 995.0 161.0 0.0 79.0 0.0 1.0
2021-10-31 17:28:26,827 - mmdet - INFO - Iter [9500/40000]	lr: 2.000e-02, eta: 16:11:20, time: 1.714, data_time: 0.035, memory: 26484, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0497, loss_cls: 0.2291, acc: 92.3960, loss_bbox: 0.2591, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1851, acc_unlabeled: 91.8641, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4973, pseudo_num_ig: 5.5743, pseudo_num_mining: 0.8096, pseudo_num(acc): 0.8769, pseudo_num ig(acc): 0.4804, loss: 1.3078
2021-10-31 17:29:52,093 - mmdet - INFO - Iter [9550/40000]	lr: 2.000e-02, eta: 16:09:12, time: 1.707, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0524, loss_cls: 0.2438, acc: 91.8646, loss_bbox: 0.2754, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1886, acc_unlabeled: 91.8774, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.4974, pseudo_num_ig: 5.5750, pseudo_num_mining: 0.8103, pseudo_num(acc): 0.8770, pseudo_num ig(acc): 0.4804, loss: 1.3457
2021-10-31 17:31:16,738 - mmdet - INFO - Iter [9600/40000]	lr: 2.000e-02, eta: 16:07:03, time: 1.694, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0541, loss_cls: 0.2502, acc: 91.7412, loss_bbox: 0.2800, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1923, acc_unlabeled: 91.9807, loss_bbox_unlabeled: 0.1748, losses_cls_ig_unlabeled: 0.1805, pseudo_num: 1.4972, pseudo_num_ig: 5.5745, pseudo_num_mining: 0.8106, pseudo_num(acc): 0.8771, pseudo_num ig(acc): 0.4804, loss: 1.3586
2021-10-31 17:32:41,082 - mmdet - INFO - Iter [9650/40000]	lr: 2.000e-02, eta: 16:04:52, time: 1.686, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0499, loss_cls: 0.2336, acc: 92.2139, loss_bbox: 0.2674, loss_rpn_cls_unlabeled: 0.0898, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1915, acc_unlabeled: 91.7986, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1861, pseudo_num: 1.4975, pseudo_num_ig: 5.5754, pseudo_num_mining: 0.8111, pseudo_num(acc): 0.8771, pseudo_num ig(acc): 0.4804, loss: 1.3369
2021-10-31 17:34:05,265 - mmdet - INFO - Iter [9700/40000]	lr: 2.000e-02, eta: 16:02:42, time: 1.682, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0542, loss_cls: 0.2440, acc: 91.9341, loss_bbox: 0.2764, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1892, acc_unlabeled: 92.0338, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4974, pseudo_num_ig: 5.5754, pseudo_num_mining: 0.8119, pseudo_num(acc): 0.8772, pseudo_num ig(acc): 0.4805, loss: 1.3455
2021-10-31 17:35:29,834 - mmdet - INFO - Iter [9750/40000]	lr: 2.000e-02, eta: 16:00:33, time: 1.693, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0505, loss_cls: 0.2360, acc: 92.1251, loss_bbox: 0.2686, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0996, loss_cls_unlabeled: 0.1858, acc_unlabeled: 91.9646, loss_bbox_unlabeled: 0.1780, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4974, pseudo_num_ig: 5.5753, pseudo_num_mining: 0.8124, pseudo_num(acc): 0.8771, pseudo_num ig(acc): 0.4805, loss: 1.3215
2021-10-31 17:36:55,203 - mmdet - INFO - Iter [9800/40000]	lr: 2.000e-02, eta: 15:58:28, time: 1.709, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0511, loss_cls: 0.2399, acc: 92.0826, loss_bbox: 0.2745, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0988, loss_cls_unlabeled: 0.1900, acc_unlabeled: 91.7870, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1862, pseudo_num: 1.4978, pseudo_num_ig: 5.5757, pseudo_num_mining: 0.8129, pseudo_num(acc): 0.8772, pseudo_num ig(acc): 0.4804, loss: 1.3484
2021-10-31 17:38:20,007 - mmdet - INFO - Iter [9850/40000]	lr: 2.000e-02, eta: 15:56:20, time: 1.693, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0516, loss_cls: 0.2462, acc: 91.7823, loss_bbox: 0.2857, loss_rpn_cls_unlabeled: 0.0902, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1821, acc_unlabeled: 92.0476, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1778, pseudo_num: 1.4982, pseudo_num_ig: 5.5760, pseudo_num_mining: 0.8135, pseudo_num(acc): 0.8772, pseudo_num ig(acc): 0.4804, loss: 1.3421
2021-10-31 17:39:44,737 - mmdet - INFO - Iter [9900/40000]	lr: 2.000e-02, eta: 15:54:13, time: 1.696, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0484, loss_cls: 0.2303, acc: 92.3110, loss_bbox: 0.2635, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1828, acc_unlabeled: 92.0652, loss_bbox_unlabeled: 0.1716, losses_cls_ig_unlabeled: 0.1868, pseudo_num: 1.4982, pseudo_num_ig: 5.5757, pseudo_num_mining: 0.8139, pseudo_num(acc): 0.8773, pseudo_num ig(acc): 0.4804, loss: 1.3036
2021-10-31 17:41:09,418 - mmdet - INFO - Iter [9950/40000]	lr: 2.000e-02, eta: 15:52:07, time: 1.696, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0477, loss_cls: 0.2423, acc: 91.9767, loss_bbox: 0.2750, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1961, acc_unlabeled: 91.7970, loss_bbox_unlabeled: 0.1846, losses_cls_ig_unlabeled: 0.1832, pseudo_num: 1.4983, pseudo_num_ig: 5.5754, pseudo_num_mining: 0.8143, pseudo_num(acc): 0.8773, pseudo_num ig(acc): 0.4805, loss: 1.3524
2021-10-31 17:42:33,156 - mmdet - INFO - pseudo pos: 0.98(18824.0-person) 0.94(460.0-bicycle) 0.94(3147.0-car) 0.99(559.0-motorcycle) 1.00(299.0-airplane) 0.99(383.0-bus) 0.99(362.0-train) 0.76(709.0-truck) 0.76(759.0-boat) 0.92(987.0-traffic light) 0.98(115.0-fire hydrant) 1.00(127.0-stop sign) 0.93(86.0-parking meter) 0.70(682.0-bench) 0.92(705.0-bird) 0.98(316.0-cat) 0.98(342.0-dog) 0.99(460.0-horse) 0.94(653.0-sheep) 0.94(507.0-cow) 1.00(344.0-elephant) 0.99(119.0-bear) 0.99(350.0-zebra) 0.99(379.0-giraffe) 0.55(593.0-backpack) 0.82(866.0-umbrella) 0.54(808.0-handbag) 0.93(396.0-tie) 0.81(396.0-suitcase) 0.99(149.0-frisbee) 0.72(475.0-skis) 0.78(162.0-snowboard) 0.97(390.0-sports ball) 0.92(539.0-kite) 0.90(241.0-baseball bat) 0.94(230.0-baseball glove) 0.99(411.0-skateboard) 0.89(462.0-surfboard) 0.98(302.0-tennis racket) 0.88(1655.0-bottle) 0.96(510.0-wine glass) 0.90(1557.0-cup) 0.76(327.0-fork) 0.51(591.0-knife) 0.51(439.0-spoon) 0.85(1110.0-bowl) 0.70(706.0-banana) 0.56(364.0-apple) 0.84(373.0-sandwich) 0.69(486.0-orange) 0.71(533.0-broccoli) 0.59(553.0-carrot) 0.77(202.0-hot dog) 0.95(406.0-pizza) 0.93(431.0-donut) 0.86(390.0-cake) 0.79(2828.0-chair) 0.83(436.0-couch) 0.74(679.0-potted plant) 0.94(256.0-bed) 0.72(1488.0-dining table) 0.96(268.0-toilet) 0.98(346.0-tv) 0.97(344.0-laptop) 0.98(162.0-mouse) 0.73(302.0-remote) 0.98(195.0-keyboard) 0.86(463.0-cell phone) 0.97(105.0-microwave) 0.90(261.0-oven) 0.00(1.0-toaster) 0.84(370.0-sink) 0.97(184.0-refrigerator) 0.35(1339.0-book) 0.99(446.0-clock) 0.91(482.0-vase) 0.76(114.0-scissors) 0.94(364.0-teddy bear) 0.00(0.0-hair drier) 0.50(133.0-toothbrush)
2021-10-31 17:42:33,157 - mmdet - INFO - pseudo ig: 0.64(67500.0-person) 0.43(1615.0-bicycle) 0.49(11566.0-car) 0.57(2222.0-motorcycle) 0.69(1137.0-airplane) 0.66(1357.0-bus) 0.60(1146.0-train) 0.37(2638.0-truck) 0.35(2854.0-boat) 0.39(3705.0-traffic light) 0.70(500.0-fire hydrant) 0.60(525.0-stop sign) 0.37(372.0-parking meter) 0.22(2520.0-bench) 0.32(2627.0-bird) 0.76(1223.0-cat) 0.68(1313.0-dog) 0.61(1625.0-horse) 0.54(2656.0-sheep) 0.52(2356.0-cow) 0.78(1422.0-elephant) 0.67(357.0-bear) 0.77(1448.0-zebra) 0.88(1255.0-giraffe) 0.24(2250.0-backpack) 0.41(3299.0-umbrella) 0.21(3367.0-handbag) 0.43(1425.0-tie) 0.41(1439.0-suitcase) 0.62(648.0-frisbee) 0.35(1717.0-skis) 0.32(666.0-snowboard) 0.40(1721.0-sports ball) 0.52(2032.0-kite) 0.37(932.0-baseball bat) 0.43(952.0-baseball glove) 0.57(1421.0-skateboard) 0.44(1715.0-surfboard) 0.66(1210.0-tennis racket) 0.43(6255.0-bottle) 0.46(2120.0-wine glass) 0.37(6294.0-cup) 0.30(1490.0-fork) 0.22(2197.0-knife) 0.19(1864.0-spoon) 0.38(4515.0-bowl) 0.28(2874.0-banana) 0.19(1622.0-apple) 0.37(1229.0-sandwich) 0.26(2110.0-orange) 0.39(2062.0-broccoli) 0.23(2176.0-carrot) 0.32(727.0-hot dog) 0.56(1516.0-pizza) 0.38(1974.0-donut) 0.36(1579.0-cake) 0.31(10481.0-chair) 0.40(1591.0-couch) 0.36(2440.0-potted plant) 0.52(982.0-bed) 0.36(4022.0-dining table) 0.70(1069.0-toilet) 0.62(1527.0-tv) 0.58(1391.0-laptop) 0.44(635.0-mouse) 0.33(1402.0-remote) 0.46(746.0-keyboard) 0.29(1769.0-cell phone) 0.57(383.0-microwave) 0.36(974.0-oven) 0.00(0.0-toaster) 0.45(1485.0-sink) 0.46(654.0-refrigerator) 0.19(5253.0-book) 0.61(1601.0-clock) 0.39(1973.0-vase) 0.22(390.0-scissors) 0.47(1325.0-teddy bear) 0.00(0.0-hair drier) 0.20(448.0-toothbrush)
2021-10-31 17:42:33,157 - mmdet - INFO - pseudo gt: 88157.0 2415.0 14528.0 2990.0 1608.0 2139.0 1497.0 3218.0 3541.0 4282.0 630.0 665.0 428.0 3275.0 3382.0 1540.0 1873.0 2116.0 3215.0 2663.0 1856.0 458.0 1972.0 1754.0 2930.0 3911.0 4085.0 2241.0 2271.0 880.0 2243.0 938.0 2058.0 3071.0 1057.0 1253.0 1989.0 1888.0 1698.0 8337.0 2865.0 6946.0 1824.0 2767.0 2026.0 4850.0 3168.0 1928.0 1532.0 2109.0 2620.0 2501.0 949.0 1980.0 2331.0 2048.0 13213.0 1979.0 3119.0 1354.0 5473.0 1461.0 1985.0 1676.0 757.0 1865.0 967.0 2189.0 575.0 1117.0 79.0 1863.0 896.0 7809.0 2152.0 2301.0 443.0 1524.0 56.0 635.0
2021-10-31 17:42:33,157 - mmdet - INFO - pseudo mining: 17108.0 63.0 1634.0 201.0 183.0 356.0 143.0 18.0 97.0 424.0 228.0 330.0 13.0 15.0 75.0 213.0 175.0 265.0 581.0 287.0 608.0 97.0 734.0 744.0 2.0 192.0 0.0 116.0 55.0 278.0 31.0 0.0 588.0 615.0 71.0 246.0 241.0 62.0 396.0 581.0 149.0 499.0 7.0 10.0 2.0 273.0 40.0 14.0 22.0 33.0 87.0 38.0 1.0 222.0 223.0 28.0 72.0 7.0 113.0 12.0 65.0 440.0 512.0 210.0 197.0 47.0 85.0 98.0 77.0 25.0 0.0 201.0 33.0 4.0 1034.0 169.0 0.0 82.0 0.0 1.0
2021-10-31 17:42:34,573 - mmdet - INFO - Saving checkpoint at 10000 iterations
2021-10-31 17:43:31,442 - mmdet - INFO - Evaluating bbox...
2021-10-31 17:44:43,657 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.445 | bicycle      | 0.189 | car            | 0.354 |
| motorcycle    | 0.278 | airplane     | 0.452 | bus            | 0.497 |
| train         | 0.439 | truck        | 0.184 | boat           | 0.167 |
| traffic light | 0.227 | fire hydrant | 0.527 | stop sign      | 0.518 |
| parking meter | 0.429 | bench        | 0.155 | bird           | 0.241 |
| cat           | 0.441 | dog          | 0.433 | horse          | 0.405 |
| sheep         | 0.351 | cow          | 0.387 | elephant       | 0.476 |
| bear          | 0.556 | zebra        | 0.516 | giraffe        | 0.557 |
| backpack      | 0.085 | umbrella     | 0.237 | handbag        | 0.067 |
| tie           | 0.202 | suitcase     | 0.153 | frisbee        | 0.502 |
| skis          | 0.121 | snowboard    | 0.147 | sports ball    | 0.356 |
| kite          | 0.280 | baseball bat | 0.162 | baseball glove | 0.250 |
| skateboard    | 0.334 | surfboard    | 0.215 | tennis racket  | 0.327 |
| bottle        | 0.295 | wine glass   | 0.268 | cup            | 0.316 |
| fork          | 0.129 | knife        | 0.066 | spoon          | 0.069 |
| bowl          | 0.326 | banana       | 0.136 | apple          | 0.093 |
| sandwich      | 0.195 | orange       | 0.217 | broccoli       | 0.179 |
| carrot        | 0.103 | hot dog      | 0.136 | pizza          | 0.406 |
| donut         | 0.271 | cake         | 0.213 | chair          | 0.167 |
| couch         | 0.285 | potted plant | 0.155 | bed            | 0.321 |
| dining table  | 0.158 | toilet       | 0.445 | tv             | 0.444 |
| laptop        | 0.444 | mouse        | 0.472 | remote         | 0.170 |
| keyboard      | 0.347 | cell phone   | 0.223 | microwave      | 0.398 |
| oven          | 0.210 | toaster      | 0.021 | sink           | 0.252 |
| refrigerator  | 0.351 | book         | 0.051 | clock          | 0.388 |
| vase          | 0.256 | scissors     | 0.126 | teddy bear     | 0.286 |
| hair drier    | 0.000 | toothbrush   | 0.075 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 17:45:40,388 - mmdet - INFO - Evaluating bbox...
2021-10-31 17:46:54,982 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.463 | bicycle      | 0.217 | car            | 0.373 |
| motorcycle    | 0.328 | airplane     | 0.515 | bus            | 0.540 |
| train         | 0.486 | truck        | 0.229 | boat           | 0.189 |
| traffic light | 0.244 | fire hydrant | 0.556 | stop sign      | 0.570 |
| parking meter | 0.438 | bench        | 0.169 | bird           | 0.280 |
| cat           | 0.519 | dog          | 0.474 | horse          | 0.455 |
| sheep         | 0.389 | cow          | 0.458 | elephant       | 0.535 |
| bear          | 0.581 | zebra        | 0.551 | giraffe        | 0.579 |
| backpack      | 0.103 | umbrella     | 0.269 | handbag        | 0.074 |
| tie           | 0.218 | suitcase     | 0.192 | frisbee        | 0.532 |
| skis          | 0.140 | snowboard    | 0.205 | sports ball    | 0.396 |
| kite          | 0.313 | baseball bat | 0.187 | baseball glove | 0.298 |
| skateboard    | 0.370 | surfboard    | 0.241 | tennis racket  | 0.348 |
| bottle        | 0.312 | wine glass   | 0.283 | cup            | 0.333 |
| fork          | 0.153 | knife        | 0.081 | spoon          | 0.081 |
| bowl          | 0.354 | banana       | 0.167 | apple          | 0.111 |
| sandwich      | 0.242 | orange       | 0.249 | broccoli       | 0.181 |
| carrot        | 0.121 | hot dog      | 0.165 | pizza          | 0.416 |
| donut         | 0.331 | cake         | 0.246 | chair          | 0.179 |
| couch         | 0.307 | potted plant | 0.176 | bed            | 0.321 |
| dining table  | 0.185 | toilet       | 0.473 | tv             | 0.476 |
| laptop        | 0.471 | mouse        | 0.520 | remote         | 0.184 |
| keyboard      | 0.382 | cell phone   | 0.267 | microwave      | 0.420 |
| oven          | 0.247 | toaster      | 0.145 | sink           | 0.267 |
| refrigerator  | 0.393 | book         | 0.064 | clock          | 0.430 |
| vase          | 0.309 | scissors     | 0.170 | teddy bear     | 0.331 |
| hair drier    | 0.000 | toothbrush   | 0.093 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 17:48:24,313 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 17:48:24,313 - mmdet - INFO - Iter [10000/40000]	lr: 2.000e-02, eta: 15:50:05, time: 1.719, data_time: 0.032, memory: 26484, bbox_mAP: 0.3080, bbox_mAP_50: 0.5080, bbox_mAP_75: 0.3270, bbox_mAP_s: 0.1770, bbox_mAP_m: 0.3350, bbox_mAP_l: 0.4030, bbox_mAP_copypaste: 0.308 0.508 0.327 0.177 0.335 0.403, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0514, loss_cls: 0.2418, acc: 91.9454, loss_bbox: 0.2704, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1939, acc_unlabeled: 91.8867, loss_bbox_unlabeled: 0.1783, losses_cls_ig_unlabeled: 0.1871, pseudo_num: 1.4985, pseudo_num_ig: 5.5749, pseudo_num_mining: 0.8147, pseudo_num(acc): 0.8774, pseudo_num ig(acc): 0.4805, loss: 1.3450
2021-10-31 17:51:08,590 - mmdet - INFO - Iter [10050/40000]	lr: 2.000e-02, eta: 16:09:16, time: 10.263, data_time: 7.004, memory: 26484, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0497, loss_cls: 0.2336, acc: 92.1969, loss_bbox: 0.2661, loss_rpn_cls_unlabeled: 0.0954, loss_rpn_bbox_unlabeled: 0.0976, loss_cls_unlabeled: 0.1909, acc_unlabeled: 91.7826, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1901, pseudo_num: 1.4985, pseudo_num_ig: 5.5755, pseudo_num_mining: 0.8155, pseudo_num(acc): 0.8775, pseudo_num ig(acc): 0.4805, loss: 1.3427
2021-10-31 17:52:34,645 - mmdet - INFO - Iter [10100/40000]	lr: 2.000e-02, eta: 16:07:06, time: 1.722, data_time: 0.025, memory: 26484, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0511, loss_cls: 0.2419, acc: 92.1078, loss_bbox: 0.2706, loss_rpn_cls_unlabeled: 0.0891, loss_rpn_bbox_unlabeled: 0.1026, loss_cls_unlabeled: 0.1949, acc_unlabeled: 91.7548, loss_bbox_unlabeled: 0.1839, losses_cls_ig_unlabeled: 0.1879, pseudo_num: 1.4984, pseudo_num_ig: 5.5759, pseudo_num_mining: 0.8165, pseudo_num(acc): 0.8775, pseudo_num ig(acc): 0.4805, loss: 1.3621
2021-10-31 17:53:59,590 - mmdet - INFO - Iter [10150/40000]	lr: 2.000e-02, eta: 16:04:53, time: 1.697, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0505, loss_cls: 0.2335, acc: 92.2256, loss_bbox: 0.2671, loss_rpn_cls_unlabeled: 0.0864, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1789, acc_unlabeled: 92.2922, loss_bbox_unlabeled: 0.1711, losses_cls_ig_unlabeled: 0.1747, pseudo_num: 1.4984, pseudo_num_ig: 5.5759, pseudo_num_mining: 0.8174, pseudo_num(acc): 0.8776, pseudo_num ig(acc): 0.4806, loss: 1.2918
2021-10-31 17:55:24,791 - mmdet - INFO - Iter [10200/40000]	lr: 2.000e-02, eta: 16:02:42, time: 1.705, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0518, loss_cls: 0.2357, acc: 92.1178, loss_bbox: 0.2714, loss_rpn_cls_unlabeled: 0.0919, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1829, acc_unlabeled: 92.2343, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1740, pseudo_num: 1.4985, pseudo_num_ig: 5.5755, pseudo_num_mining: 0.8183, pseudo_num(acc): 0.8776, pseudo_num ig(acc): 0.4806, loss: 1.3261
2021-10-31 17:56:48,454 - mmdet - INFO - Iter [10250/40000]	lr: 2.000e-02, eta: 16:00:27, time: 1.671, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0522, loss_cls: 0.2428, acc: 91.9104, loss_bbox: 0.2784, loss_rpn_cls_unlabeled: 0.0918, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1923, acc_unlabeled: 92.0376, loss_bbox_unlabeled: 0.1842, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4988, pseudo_num_ig: 5.5753, pseudo_num_mining: 0.8191, pseudo_num(acc): 0.8776, pseudo_num ig(acc): 0.4807, loss: 1.3569
2021-10-31 17:58:15,747 - mmdet - INFO - Iter [10300/40000]	lr: 2.000e-02, eta: 15:58:22, time: 1.745, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0528, loss_cls: 0.2321, acc: 92.1450, loss_bbox: 0.2674, loss_rpn_cls_unlabeled: 0.0971, loss_rpn_bbox_unlabeled: 0.0990, loss_cls_unlabeled: 0.1907, acc_unlabeled: 91.8939, loss_bbox_unlabeled: 0.1794, losses_cls_ig_unlabeled: 0.1842, pseudo_num: 1.4988, pseudo_num_ig: 5.5756, pseudo_num_mining: 0.8201, pseudo_num(acc): 0.8776, pseudo_num ig(acc): 0.4807, loss: 1.3420
2021-10-31 17:59:41,351 - mmdet - INFO - Iter [10350/40000]	lr: 2.000e-02, eta: 15:56:13, time: 1.710, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0509, loss_cls: 0.2388, acc: 92.0465, loss_bbox: 0.2711, loss_rpn_cls_unlabeled: 0.0909, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1926, acc_unlabeled: 91.7777, loss_bbox_unlabeled: 0.1845, losses_cls_ig_unlabeled: 0.1850, pseudo_num: 1.4989, pseudo_num_ig: 5.5762, pseudo_num_mining: 0.8212, pseudo_num(acc): 0.8776, pseudo_num ig(acc): 0.4807, loss: 1.3495
2021-10-31 18:01:07,458 - mmdet - INFO - Iter [10400/40000]	lr: 2.000e-02, eta: 15:54:06, time: 1.723, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0496, loss_cls: 0.2374, acc: 92.1522, loss_bbox: 0.2695, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1929, acc_unlabeled: 91.8522, loss_bbox_unlabeled: 0.1819, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4989, pseudo_num_ig: 5.5764, pseudo_num_mining: 0.8221, pseudo_num(acc): 0.8776, pseudo_num ig(acc): 0.4807, loss: 1.3409
2021-10-31 18:02:32,938 - mmdet - INFO - Iter [10450/40000]	lr: 2.000e-02, eta: 15:51:58, time: 1.711, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0533, loss_cls: 0.2440, acc: 91.9418, loss_bbox: 0.2752, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1898, acc_unlabeled: 92.1858, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1748, pseudo_num: 1.4989, pseudo_num_ig: 5.5763, pseudo_num_mining: 0.8229, pseudo_num(acc): 0.8776, pseudo_num ig(acc): 0.4808, loss: 1.3407
2021-10-31 18:03:58,428 - mmdet - INFO - pseudo pos: 0.98(19742.0-person) 0.94(470.0-bicycle) 0.94(3266.0-car) 0.99(597.0-motorcycle) 1.00(322.0-airplane) 0.99(397.0-bus) 0.99(378.0-train) 0.77(737.0-truck) 0.76(787.0-boat) 0.92(1031.0-traffic light) 0.98(121.0-fire hydrant) 1.00(134.0-stop sign) 0.93(89.0-parking meter) 0.70(711.0-bench) 0.92(741.0-bird) 0.97(341.0-cat) 0.98(365.0-dog) 0.99(488.0-horse) 0.94(699.0-sheep) 0.95(544.0-cow) 1.00(369.0-elephant) 0.99(122.0-bear) 0.99(362.0-zebra) 0.99(396.0-giraffe) 0.55(621.0-backpack) 0.82(899.0-umbrella) 0.54(833.0-handbag) 0.93(408.0-tie) 0.81(412.0-suitcase) 0.99(164.0-frisbee) 0.72(495.0-skis) 0.80(172.0-snowboard) 0.97(419.0-sports ball) 0.92(565.0-kite) 0.90(250.0-baseball bat) 0.95(249.0-baseball glove) 0.99(424.0-skateboard) 0.89(487.0-surfboard) 0.98(320.0-tennis racket) 0.88(1736.0-bottle) 0.96(550.0-wine glass) 0.90(1665.0-cup) 0.77(345.0-fork) 0.52(620.0-knife) 0.51(458.0-spoon) 0.85(1165.0-bowl) 0.71(747.0-banana) 0.56(380.0-apple) 0.84(384.0-sandwich) 0.69(506.0-orange) 0.71(556.0-broccoli) 0.59(581.0-carrot) 0.77(211.0-hot dog) 0.95(428.0-pizza) 0.93(442.0-donut) 0.86(428.0-cake) 0.79(2959.0-chair) 0.84(461.0-couch) 0.74(704.0-potted plant) 0.94(278.0-bed) 0.72(1576.0-dining table) 0.95(288.0-toilet) 0.98(371.0-tv) 0.97(361.0-laptop) 0.98(166.0-mouse) 0.74(317.0-remote) 0.99(206.0-keyboard) 0.86(491.0-cell phone) 0.97(107.0-microwave) 0.90(272.0-oven) 0.50(2.0-toaster) 0.84(392.0-sink) 0.97(193.0-refrigerator) 0.34(1413.0-book) 0.99(471.0-clock) 0.91(505.0-vase) 0.76(124.0-scissors) 0.94(385.0-teddy bear) 0.00(0.0-hair drier) 0.49(140.0-toothbrush)
2021-10-31 18:03:58,429 - mmdet - INFO - pseudo ig: 0.64(70488.0-person) 0.43(1692.0-bicycle) 0.50(12130.0-car) 0.57(2338.0-motorcycle) 0.69(1201.0-airplane) 0.66(1446.0-bus) 0.60(1204.0-train) 0.36(2782.0-truck) 0.35(3009.0-boat) 0.39(3879.0-traffic light) 0.71(519.0-fire hydrant) 0.61(542.0-stop sign) 0.37(385.0-parking meter) 0.22(2627.0-bench) 0.33(2802.0-bird) 0.76(1296.0-cat) 0.68(1379.0-dog) 0.61(1682.0-horse) 0.54(2839.0-sheep) 0.52(2483.0-cow) 0.77(1508.0-elephant) 0.67(375.0-bear) 0.78(1490.0-zebra) 0.87(1319.0-giraffe) 0.24(2378.0-backpack) 0.41(3418.0-umbrella) 0.21(3526.0-handbag) 0.43(1477.0-tie) 0.42(1487.0-suitcase) 0.62(691.0-frisbee) 0.35(1814.0-skis) 0.32(707.0-snowboard) 0.40(1797.0-sports ball) 0.51(2137.0-kite) 0.38(980.0-baseball bat) 0.44(999.0-baseball glove) 0.58(1492.0-skateboard) 0.44(1772.0-surfboard) 0.65(1277.0-tennis racket) 0.43(6567.0-bottle) 0.45(2264.0-wine glass) 0.37(6634.0-cup) 0.29(1579.0-fork) 0.23(2314.0-knife) 0.19(1948.0-spoon) 0.38(4762.0-bowl) 0.28(3099.0-banana) 0.20(1708.0-apple) 0.36(1316.0-sandwich) 0.27(2181.0-orange) 0.39(2145.0-broccoli) 0.23(2302.0-carrot) 0.32(765.0-hot dog) 0.56(1597.0-pizza) 0.39(2041.0-donut) 0.37(1713.0-cake) 0.31(11022.0-chair) 0.40(1673.0-couch) 0.36(2566.0-potted plant) 0.52(1027.0-bed) 0.36(4267.0-dining table) 0.70(1114.0-toilet) 0.62(1600.0-tv) 0.59(1456.0-laptop) 0.45(666.0-mouse) 0.34(1481.0-remote) 0.46(776.0-keyboard) 0.29(1875.0-cell phone) 0.57(418.0-microwave) 0.36(1017.0-oven) 0.00(0.0-toaster) 0.45(1545.0-sink) 0.46(699.0-refrigerator) 0.19(5589.0-book) 0.61(1679.0-clock) 0.38(2083.0-vase) 0.22(415.0-scissors) 0.48(1394.0-teddy bear) 0.00(0.0-hair drier) 0.20(476.0-toothbrush)
2021-10-31 18:03:58,429 - mmdet - INFO - pseudo gt: 92248.0 2519.0 15236.0 3200.0 1693.0 2234.0 1574.0 3372.0 3674.0 4479.0 663.0 695.0 450.0 3423.0 3578.0 1635.0 1951.0 2208.0 3423.0 2820.0 1940.0 475.0 2039.0 1829.0 3057.0 4083.0 4271.0 2323.0 2361.0 931.0 2366.0 1006.0 2143.0 3156.0 1107.0 1313.0 2074.0 1953.0 1781.0 8777.0 3033.0 7336.0 1917.0 2930.0 2138.0 5108.0 3383.0 2052.0 1587.0 2216.0 2736.0 2635.0 1006.0 2093.0 2446.0 2188.0 13956.0 2072.0 3238.0 1426.0 5806.0 1524.0 2105.0 1770.0 806.0 1951.0 1022.0 2315.0 602.0 1175.0 86.0 1947.0 964.0 8208.0 2276.0 2414.0 465.0 1602.0 57.0 650.0
2021-10-31 18:03:58,429 - mmdet - INFO - pseudo mining: 18033.0 66.0 1756.0 209.0 196.0 385.0 160.0 18.0 99.0 458.0 237.0 343.0 13.0 16.0 91.0 231.0 184.0 276.0 619.0 313.0 641.0 106.0 764.0 782.0 2.0 200.0 0.0 122.0 59.0 298.0 33.0 1.0 607.0 632.0 72.0 259.0 261.0 66.0 420.0 618.0 167.0 530.0 7.0 10.0 2.0 293.0 45.0 14.0 22.0 34.0 91.0 39.0 1.0 240.0 250.0 30.0 77.0 8.0 120.0 13.0 70.0 458.0 549.0 230.0 216.0 50.0 91.0 105.0 83.0 28.0 0.0 210.0 44.0 4.0 1096.0 172.0 0.0 98.0 0.0 1.0
2021-10-31 18:04:00,143 - mmdet - INFO - Iter [10500/40000]	lr: 2.000e-02, eta: 15:49:54, time: 1.743, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0496, loss_cls: 0.2333, acc: 92.2913, loss_bbox: 0.2661, loss_rpn_cls_unlabeled: 0.0939, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1915, acc_unlabeled: 92.1285, loss_bbox_unlabeled: 0.1835, losses_cls_ig_unlabeled: 0.1834, pseudo_num: 1.4988, pseudo_num_ig: 5.5759, pseudo_num_mining: 0.8239, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4808, loss: 1.3360
2021-10-31 18:05:26,989 - mmdet - INFO - Iter [10550/40000]	lr: 2.000e-02, eta: 15:47:51, time: 1.739, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0527, loss_cls: 0.2432, acc: 91.8839, loss_bbox: 0.2773, loss_rpn_cls_unlabeled: 0.0956, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.2023, acc_unlabeled: 91.9578, loss_bbox_unlabeled: 0.1887, losses_cls_ig_unlabeled: 0.1851, pseudo_num: 1.4990, pseudo_num_ig: 5.5771, pseudo_num_mining: 0.8253, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4808, loss: 1.3856
2021-10-31 18:06:51,101 - mmdet - INFO - Iter [10600/40000]	lr: 2.000e-02, eta: 15:45:40, time: 1.684, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0520, loss_cls: 0.2341, acc: 92.1774, loss_bbox: 0.2694, loss_rpn_cls_unlabeled: 0.0950, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1936, acc_unlabeled: 91.9534, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1846, pseudo_num: 1.4991, pseudo_num_ig: 5.5776, pseudo_num_mining: 0.8265, pseudo_num(acc): 0.8776, pseudo_num ig(acc): 0.4809, loss: 1.3460
2021-10-31 18:08:18,077 - mmdet - INFO - Iter [10650/40000]	lr: 2.000e-02, eta: 15:43:37, time: 1.736, data_time: 0.025, memory: 26484, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0516, loss_cls: 0.2435, acc: 92.0280, loss_bbox: 0.2671, loss_rpn_cls_unlabeled: 0.0961, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1922, acc_unlabeled: 91.9292, loss_bbox_unlabeled: 0.1800, losses_cls_ig_unlabeled: 0.1855, pseudo_num: 1.4992, pseudo_num_ig: 5.5785, pseudo_num_mining: 0.8277, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4809, loss: 1.3545
2021-10-31 18:09:42,934 - mmdet - INFO - Iter [10700/40000]	lr: 2.000e-02, eta: 15:41:28, time: 1.696, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0527, loss_cls: 0.2371, acc: 92.1187, loss_bbox: 0.2651, loss_rpn_cls_unlabeled: 0.0909, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1894, acc_unlabeled: 91.9769, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1883, pseudo_num: 1.4990, pseudo_num_ig: 5.5790, pseudo_num_mining: 0.8286, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4809, loss: 1.3305
2021-10-31 18:11:09,075 - mmdet - INFO - Iter [10750/40000]	lr: 2.000e-02, eta: 15:39:25, time: 1.726, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0509, loss_cls: 0.2406, acc: 92.0338, loss_bbox: 0.2733, loss_rpn_cls_unlabeled: 0.0860, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1897, acc_unlabeled: 91.9131, loss_bbox_unlabeled: 0.1811, losses_cls_ig_unlabeled: 0.1800, pseudo_num: 1.4987, pseudo_num_ig: 5.5789, pseudo_num_mining: 0.8293, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4809, loss: 1.3355
2021-10-31 18:12:35,542 - mmdet - INFO - Iter [10800/40000]	lr: 2.000e-02, eta: 15:37:21, time: 1.727, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0505, loss_cls: 0.2374, acc: 92.1497, loss_bbox: 0.2716, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1926, acc_unlabeled: 92.0695, loss_bbox_unlabeled: 0.1846, losses_cls_ig_unlabeled: 0.1799, pseudo_num: 1.4988, pseudo_num_ig: 5.5797, pseudo_num_mining: 0.8307, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4809, loss: 1.3377
2021-10-31 18:14:01,060 - mmdet - INFO - Iter [10850/40000]	lr: 2.000e-02, eta: 15:35:16, time: 1.712, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0522, loss_cls: 0.2321, acc: 92.2368, loss_bbox: 0.2666, loss_rpn_cls_unlabeled: 0.0959, loss_rpn_bbox_unlabeled: 0.1002, loss_cls_unlabeled: 0.1921, acc_unlabeled: 91.8500, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1833, pseudo_num: 1.4989, pseudo_num_ig: 5.5805, pseudo_num_mining: 0.8317, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4809, loss: 1.3408
2021-10-31 18:15:27,456 - mmdet - INFO - Iter [10900/40000]	lr: 2.000e-02, eta: 15:33:13, time: 1.725, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0505, loss_cls: 0.2360, acc: 92.1028, loss_bbox: 0.2726, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1927, acc_unlabeled: 91.8440, loss_bbox_unlabeled: 0.1870, losses_cls_ig_unlabeled: 0.1851, pseudo_num: 1.4991, pseudo_num_ig: 5.5812, pseudo_num_mining: 0.8328, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4809, loss: 1.3475
2021-10-31 18:16:52,869 - mmdet - INFO - Iter [10950/40000]	lr: 2.000e-02, eta: 15:31:09, time: 1.711, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0507, loss_cls: 0.2333, acc: 92.1161, loss_bbox: 0.2696, loss_rpn_cls_unlabeled: 0.0932, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1902, acc_unlabeled: 92.1587, loss_bbox_unlabeled: 0.1821, losses_cls_ig_unlabeled: 0.1759, pseudo_num: 1.4991, pseudo_num_ig: 5.5817, pseudo_num_mining: 0.8338, pseudo_num(acc): 0.8777, pseudo_num ig(acc): 0.4810, loss: 1.3291
2021-10-31 18:18:16,895 - mmdet - INFO - pseudo pos: 0.98(20616.0-person) 0.94(487.0-bicycle) 0.94(3411.0-car) 0.99(622.0-motorcycle) 1.00(349.0-airplane) 1.00(408.0-bus) 0.99(390.0-train) 0.76(774.0-truck) 0.76(835.0-boat) 0.92(1071.0-traffic light) 0.98(132.0-fire hydrant) 1.00(141.0-stop sign) 0.94(93.0-parking meter) 0.71(745.0-bench) 0.92(765.0-bird) 0.98(362.0-cat) 0.98(389.0-dog) 0.99(506.0-horse) 0.94(744.0-sheep) 0.95(563.0-cow) 1.00(393.0-elephant) 0.99(128.0-bear) 0.99(389.0-zebra) 0.99(423.0-giraffe) 0.55(656.0-backpack) 0.82(936.0-umbrella) 0.54(878.0-handbag) 0.93(424.0-tie) 0.81(425.0-suitcase) 0.99(172.0-frisbee) 0.73(515.0-skis) 0.79(176.0-snowboard) 0.98(460.0-sports ball) 0.91(600.0-kite) 0.89(257.0-baseball bat) 0.95(259.0-baseball glove) 0.99(457.0-skateboard) 0.89(510.0-surfboard) 0.99(335.0-tennis racket) 0.88(1821.0-bottle) 0.96(581.0-wine glass) 0.90(1744.0-cup) 0.77(353.0-fork) 0.52(641.0-knife) 0.52(479.0-spoon) 0.84(1211.0-bowl) 0.71(784.0-banana) 0.53(415.0-apple) 0.83(402.0-sandwich) 0.70(543.0-orange) 0.71(579.0-broccoli) 0.59(601.0-carrot) 0.76(225.0-hot dog) 0.95(446.0-pizza) 0.93(454.0-donut) 0.86(457.0-cake) 0.79(3064.0-chair) 0.84(477.0-couch) 0.74(738.0-potted plant) 0.94(292.0-bed) 0.72(1652.0-dining table) 0.96(299.0-toilet) 0.98(389.0-tv) 0.97(368.0-laptop) 0.98(169.0-mouse) 0.74(340.0-remote) 0.99(209.0-keyboard) 0.87(508.0-cell phone) 0.97(112.0-microwave) 0.90(278.0-oven) 0.50(2.0-toaster) 0.84(423.0-sink) 0.97(202.0-refrigerator) 0.34(1499.0-book) 0.99(491.0-clock) 0.91(527.0-vase) 0.77(128.0-scissors) 0.94(398.0-teddy bear) 0.00(0.0-hair drier) 0.49(141.0-toothbrush)
2021-10-31 18:18:16,895 - mmdet - INFO - pseudo ig: 0.64(73839.0-person) 0.44(1782.0-bicycle) 0.50(12683.0-car) 0.57(2487.0-motorcycle) 0.70(1254.0-airplane) 0.66(1518.0-bus) 0.61(1253.0-train) 0.36(2930.0-truck) 0.34(3157.0-boat) 0.39(4054.0-traffic light) 0.71(537.0-fire hydrant) 0.61(556.0-stop sign) 0.36(407.0-parking meter) 0.22(2777.0-bench) 0.33(2926.0-bird) 0.76(1352.0-cat) 0.68(1440.0-dog) 0.61(1749.0-horse) 0.53(3088.0-sheep) 0.52(2590.0-cow) 0.76(1601.0-elephant) 0.67(388.0-bear) 0.78(1562.0-zebra) 0.87(1356.0-giraffe) 0.23(2501.0-backpack) 0.41(3515.0-umbrella) 0.21(3698.0-handbag) 0.43(1553.0-tie) 0.42(1569.0-suitcase) 0.62(731.0-frisbee) 0.35(1913.0-skis) 0.32(729.0-snowboard) 0.40(1872.0-sports ball) 0.50(2273.0-kite) 0.38(1028.0-baseball bat) 0.44(1046.0-baseball glove) 0.57(1564.0-skateboard) 0.44(1863.0-surfboard) 0.65(1349.0-tennis racket) 0.43(6808.0-bottle) 0.45(2349.0-wine glass) 0.36(6927.0-cup) 0.29(1639.0-fork) 0.23(2410.0-knife) 0.19(2038.0-spoon) 0.38(4980.0-bowl) 0.28(3328.0-banana) 0.20(1846.0-apple) 0.35(1399.0-sandwich) 0.27(2248.0-orange) 0.38(2243.0-broccoli) 0.24(2414.0-carrot) 0.32(822.0-hot dog) 0.56(1662.0-pizza) 0.39(2106.0-donut) 0.37(1803.0-cake) 0.31(11507.0-chair) 0.40(1773.0-couch) 0.35(2692.0-potted plant) 0.52(1086.0-bed) 0.36(4467.0-dining table) 0.70(1174.0-toilet) 0.62(1668.0-tv) 0.59(1519.0-laptop) 0.45(685.0-mouse) 0.34(1545.0-remote) 0.46(797.0-keyboard) 0.29(1932.0-cell phone) 0.57(435.0-microwave) 0.37(1047.0-oven) 0.00(0.0-toaster) 0.45(1609.0-sink) 0.45(723.0-refrigerator) 0.19(5940.0-book) 0.61(1755.0-clock) 0.39(2191.0-vase) 0.21(442.0-scissors) 0.49(1441.0-teddy bear) 0.00(0.0-hair drier) 0.19(516.0-toothbrush)
2021-10-31 18:18:16,895 - mmdet - INFO - pseudo gt: 96616.0 2642.0 15934.0 3350.0 1789.0 2326.0 1638.0 3514.0 3831.0 4698.0 693.0 722.0 468.0 3625.0 3806.0 1713.0 2042.0 2299.0 3644.0 2943.0 2028.0 491.0 2153.0 1896.0 3198.0 4223.0 4473.0 2438.0 2459.0 977.0 2500.0 1040.0 2252.0 3311.0 1167.0 1368.0 2191.0 2058.0 1872.0 9107.0 3147.0 7651.0 2012.0 3038.0 2240.0 5327.0 3585.0 2157.0 1671.0 2325.0 2836.0 2732.0 1103.0 2180.0 2535.0 2316.0 14627.0 2174.0 3368.0 1486.0 6061.0 1604.0 2190.0 1869.0 828.0 2056.0 1057.0 2414.0 635.0 1217.0 93.0 2049.0 1001.0 8597.0 2383.0 2514.0 476.0 1674.0 61.0 677.0
2021-10-31 18:18:16,895 - mmdet - INFO - pseudo mining: 19087.0 70.0 1883.0 219.0 215.0 410.0 167.0 22.0 102.0 483.0 247.0 355.0 14.0 18.0 102.0 236.0 191.0 287.0 667.0 334.0 669.0 108.0 810.0 808.0 2.0 207.0 1.0 133.0 68.0 311.0 36.0 1.0 624.0 650.0 74.0 275.0 280.0 69.0 446.0 649.0 173.0 557.0 9.0 10.0 2.0 311.0 45.0 15.0 27.0 34.0 96.0 39.0 1.0 250.0 272.0 32.0 82.0 13.0 124.0 17.0 72.0 484.0 572.0 253.0 226.0 54.0 96.0 108.0 88.0 31.0 0.0 222.0 49.0 4.0 1149.0 183.0 0.0 106.0 0.0 1.0
2021-10-31 18:19:47,737 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 18:19:47,738 - mmdet - INFO - Iter [11000/40000]	lr: 2.000e-02, eta: 15:29:05, time: 1.714, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0493, loss_cls: 0.2294, acc: 92.2847, loss_bbox: 0.2663, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1892, acc_unlabeled: 92.1011, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1796, pseudo_num: 1.4991, pseudo_num_ig: 5.5818, pseudo_num_mining: 0.8346, pseudo_num(acc): 0.8778, pseudo_num ig(acc): 0.4810, loss: 1.3193
2021-10-31 18:21:12,989 - mmdet - INFO - Iter [11050/40000]	lr: 2.000e-02, eta: 15:30:54, time: 3.488, data_time: 1.811, memory: 26484, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0530, loss_cls: 0.2300, acc: 92.2198, loss_bbox: 0.2678, loss_rpn_cls_unlabeled: 0.0905, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1898, acc_unlabeled: 92.0392, loss_bbox_unlabeled: 0.1794, losses_cls_ig_unlabeled: 0.1829, pseudo_num: 1.4992, pseudo_num_ig: 5.5817, pseudo_num_mining: 0.8355, pseudo_num(acc): 0.8778, pseudo_num ig(acc): 0.4811, loss: 1.3233
2021-10-31 18:22:39,610 - mmdet - INFO - Iter [11100/40000]	lr: 2.000e-02, eta: 15:28:52, time: 1.731, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0391, loss_rpn_bbox: 0.0492, loss_cls: 0.2242, acc: 92.5061, loss_bbox: 0.2596, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0901, loss_cls_unlabeled: 0.1825, acc_unlabeled: 92.3527, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1784, pseudo_num: 1.4990, pseudo_num_ig: 5.5815, pseudo_num_mining: 0.8363, pseudo_num(acc): 0.8778, pseudo_num ig(acc): 0.4811, loss: 1.2844
2021-10-31 18:24:06,295 - mmdet - INFO - Iter [11150/40000]	lr: 2.000e-02, eta: 15:26:50, time: 1.737, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0509, loss_cls: 0.2258, acc: 92.3997, loss_bbox: 0.2601, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1914, acc_unlabeled: 92.0647, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1834, pseudo_num: 1.4989, pseudo_num_ig: 5.5815, pseudo_num_mining: 0.8372, pseudo_num(acc): 0.8778, pseudo_num ig(acc): 0.4811, loss: 1.3090
2021-10-31 18:25:31,174 - mmdet - INFO - Iter [11200/40000]	lr: 2.000e-02, eta: 15:24:44, time: 1.697, data_time: 0.025, memory: 26484, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0516, loss_cls: 0.2402, acc: 91.9554, loss_bbox: 0.2771, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1915, acc_unlabeled: 91.9641, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1842, pseudo_num: 1.4989, pseudo_num_ig: 5.5814, pseudo_num_mining: 0.8381, pseudo_num(acc): 0.8779, pseudo_num ig(acc): 0.4812, loss: 1.3487
2021-10-31 18:26:55,384 - mmdet - INFO - Iter [11250/40000]	lr: 2.000e-02, eta: 15:22:37, time: 1.684, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0523, loss_cls: 0.2360, acc: 92.1798, loss_bbox: 0.2697, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1881, acc_unlabeled: 92.1744, loss_bbox_unlabeled: 0.1760, losses_cls_ig_unlabeled: 0.1780, pseudo_num: 1.4989, pseudo_num_ig: 5.5813, pseudo_num_mining: 0.8390, pseudo_num(acc): 0.8779, pseudo_num ig(acc): 0.4812, loss: 1.3222
2021-10-31 18:28:21,823 - mmdet - INFO - Iter [11300/40000]	lr: 2.000e-02, eta: 15:20:35, time: 1.727, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0524, loss_cls: 0.2389, acc: 92.0890, loss_bbox: 0.2725, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1944, acc_unlabeled: 91.9987, loss_bbox_unlabeled: 0.1815, losses_cls_ig_unlabeled: 0.1861, pseudo_num: 1.4988, pseudo_num_ig: 5.5816, pseudo_num_mining: 0.8399, pseudo_num(acc): 0.8780, pseudo_num ig(acc): 0.4813, loss: 1.3527
2021-10-31 18:29:49,227 - mmdet - INFO - Iter [11350/40000]	lr: 2.000e-02, eta: 15:18:37, time: 1.746, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0498, loss_cls: 0.2263, acc: 92.5150, loss_bbox: 0.2563, loss_rpn_cls_unlabeled: 0.0917, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1842, acc_unlabeled: 92.1208, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1849, pseudo_num: 1.4987, pseudo_num_ig: 5.5816, pseudo_num_mining: 0.8408, pseudo_num(acc): 0.8780, pseudo_num ig(acc): 0.4813, loss: 1.2993
2021-10-31 18:31:14,935 - mmdet - INFO - Iter [11400/40000]	lr: 2.000e-02, eta: 15:16:35, time: 1.719, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0506, loss_cls: 0.2353, acc: 92.2726, loss_bbox: 0.2672, loss_rpn_cls_unlabeled: 0.0891, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1864, acc_unlabeled: 92.0188, loss_bbox_unlabeled: 0.1795, losses_cls_ig_unlabeled: 0.1822, pseudo_num: 1.4987, pseudo_num_ig: 5.5816, pseudo_num_mining: 0.8415, pseudo_num(acc): 0.8780, pseudo_num ig(acc): 0.4814, loss: 1.3228
2021-10-31 18:32:41,762 - mmdet - INFO - Iter [11450/40000]	lr: 2.000e-02, eta: 15:14:35, time: 1.738, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0518, loss_cls: 0.2343, acc: 92.1786, loss_bbox: 0.2681, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.1942, acc_unlabeled: 92.0441, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1825, pseudo_num: 1.4987, pseudo_num_ig: 5.5818, pseudo_num_mining: 0.8425, pseudo_num(acc): 0.8781, pseudo_num ig(acc): 0.4815, loss: 1.3484
2021-10-31 18:34:07,279 - mmdet - INFO - pseudo pos: 0.98(21590.0-person) 0.94(518.0-bicycle) 0.94(3561.0-car) 0.98(648.0-motorcycle) 1.00(366.0-airplane) 1.00(437.0-bus) 0.99(417.0-train) 0.77(811.0-truck) 0.76(873.0-boat) 0.92(1122.0-traffic light) 0.99(137.0-fire hydrant) 1.00(148.0-stop sign) 0.94(97.0-parking meter) 0.71(797.0-bench) 0.92(807.0-bird) 0.97(390.0-cat) 0.98(406.0-dog) 0.99(534.0-horse) 0.94(762.0-sheep) 0.95(590.0-cow) 1.00(409.0-elephant) 0.99(137.0-bear) 0.99(410.0-zebra) 0.99(443.0-giraffe) 0.55(676.0-backpack) 0.82(989.0-umbrella) 0.54(922.0-handbag) 0.93(436.0-tie) 0.80(450.0-suitcase) 0.99(177.0-frisbee) 0.73(528.0-skis) 0.78(186.0-snowboard) 0.98(484.0-sports ball) 0.91(618.0-kite) 0.90(271.0-baseball bat) 0.95(265.0-baseball glove) 0.99(475.0-skateboard) 0.90(553.0-surfboard) 0.98(349.0-tennis racket) 0.88(1870.0-bottle) 0.96(609.0-wine glass) 0.90(1826.0-cup) 0.77(368.0-fork) 0.53(674.0-knife) 0.51(506.0-spoon) 0.84(1262.0-bowl) 0.71(812.0-banana) 0.53(425.0-apple) 0.83(411.0-sandwich) 0.68(574.0-orange) 0.71(611.0-broccoli) 0.59(611.0-carrot) 0.76(232.0-hot dog) 0.95(461.0-pizza) 0.93(497.0-donut) 0.87(473.0-cake) 0.79(3190.0-chair) 0.84(500.0-couch) 0.75(768.0-potted plant) 0.94(316.0-bed) 0.72(1714.0-dining table) 0.96(309.0-toilet) 0.98(407.0-tv) 0.97(383.0-laptop) 0.98(178.0-mouse) 0.74(360.0-remote) 0.99(223.0-keyboard) 0.87(523.0-cell phone) 0.97(118.0-microwave) 0.90(287.0-oven) 0.50(2.0-toaster) 0.85(441.0-sink) 0.97(209.0-refrigerator) 0.34(1560.0-book) 0.99(521.0-clock) 0.91(537.0-vase) 0.77(129.0-scissors) 0.94(410.0-teddy bear) 0.00(0.0-hair drier) 0.49(146.0-toothbrush)
2021-10-31 18:34:07,280 - mmdet - INFO - pseudo ig: 0.64(77321.0-person) 0.44(1883.0-bicycle) 0.50(13249.0-car) 0.57(2557.0-motorcycle) 0.70(1317.0-airplane) 0.66(1590.0-bus) 0.61(1321.0-train) 0.36(3039.0-truck) 0.35(3277.0-boat) 0.39(4281.0-traffic light) 0.71(560.0-fire hydrant) 0.61(577.0-stop sign) 0.36(415.0-parking meter) 0.22(2933.0-bench) 0.33(3070.0-bird) 0.76(1412.0-cat) 0.68(1507.0-dog) 0.61(1812.0-horse) 0.52(3265.0-sheep) 0.52(2722.0-cow) 0.76(1655.0-elephant) 0.67(405.0-bear) 0.78(1645.0-zebra) 0.87(1415.0-giraffe) 0.23(2597.0-backpack) 0.42(3714.0-umbrella) 0.21(3854.0-handbag) 0.44(1624.0-tie) 0.41(1654.0-suitcase) 0.62(780.0-frisbee) 0.36(1983.0-skis) 0.32(763.0-snowboard) 0.40(1937.0-sports ball) 0.50(2340.0-kite) 0.38(1051.0-baseball bat) 0.44(1092.0-baseball glove) 0.57(1640.0-skateboard) 0.43(1974.0-surfboard) 0.65(1412.0-tennis racket) 0.44(7012.0-bottle) 0.45(2495.0-wine glass) 0.36(7217.0-cup) 0.29(1697.0-fork) 0.23(2518.0-knife) 0.19(2131.0-spoon) 0.39(5163.0-bowl) 0.28(3458.0-banana) 0.20(1920.0-apple) 0.35(1433.0-sandwich) 0.27(2306.0-orange) 0.39(2339.0-broccoli) 0.24(2494.0-carrot) 0.32(841.0-hot dog) 0.56(1737.0-pizza) 0.40(2162.0-donut) 0.37(1882.0-cake) 0.31(12021.0-chair) 0.40(1866.0-couch) 0.35(2806.0-potted plant) 0.52(1123.0-bed) 0.36(4665.0-dining table) 0.70(1229.0-toilet) 0.62(1734.0-tv) 0.59(1592.0-laptop) 0.45(708.0-mouse) 0.34(1619.0-remote) 0.46(850.0-keyboard) 0.29(1994.0-cell phone) 0.58(458.0-microwave) 0.37(1089.0-oven) 0.00(0.0-toaster) 0.45(1679.0-sink) 0.46(749.0-refrigerator) 0.19(6223.0-book) 0.62(1842.0-clock) 0.38(2290.0-vase) 0.22(454.0-scissors) 0.48(1518.0-teddy bear) 0.00(0.0-hair drier) 0.19(535.0-toothbrush)
2021-10-31 18:34:07,280 - mmdet - INFO - pseudo gt: 101231.0 2795.0 16651.0 3451.0 1881.0 2434.0 1718.0 3664.0 3992.0 4932.0 721.0 744.0 479.0 3816.0 3955.0 1799.0 2146.0 2397.0 3804.0 3103.0 2113.0 511.0 2250.0 1980.0 3354.0 4457.0 4711.0 2552.0 2535.0 1032.0 2601.0 1073.0 2342.0 3437.0 1212.0 1419.0 2294.0 2171.0 1944.0 9443.0 3288.0 7987.0 2100.0 3165.0 2339.0 5537.0 3756.0 2223.0 1735.0 2405.0 2994.0 2872.0 1137.0 2273.0 2717.0 2412.0 15330.0 2268.0 3506.0 1559.0 6319.0 1672.0 2295.0 1961.0 863.0 2136.0 1116.0 2497.0 668.0 1267.0 95.0 2137.0 1053.0 8964.0 2506.0 2591.0 499.0 1736.0 64.0 713.0
2021-10-31 18:34:07,280 - mmdet - INFO - pseudo mining: 20171.0 72.0 1996.0 230.0 237.0 435.0 186.0 22.0 107.0 519.0 258.0 367.0 15.0 18.0 108.0 247.0 206.0 305.0 701.0 359.0 698.0 114.0 854.0 857.0 2.0 234.0 2.0 143.0 72.0 340.0 41.0 1.0 643.0 666.0 78.0 299.0 300.0 72.0 462.0 687.0 184.0 596.0 9.0 11.0 2.0 325.0 46.0 16.0 28.0 34.0 97.0 42.0 2.0 269.0 284.0 32.0 86.0 13.0 128.0 17.0 75.0 515.0 597.0 276.0 232.0 56.0 100.0 114.0 95.0 34.0 0.0 238.0 54.0 5.0 1219.0 193.0 0.0 113.0 0.0 1.0
2021-10-31 18:34:08,992 - mmdet - INFO - Iter [11500/40000]	lr: 2.000e-02, eta: 15:12:37, time: 1.742, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0481, loss_cls: 0.2247, acc: 92.4445, loss_bbox: 0.2618, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.1008, loss_cls_unlabeled: 0.1918, acc_unlabeled: 92.1852, loss_bbox_unlabeled: 0.1793, losses_cls_ig_unlabeled: 0.1784, pseudo_num: 1.4988, pseudo_num_ig: 5.5816, pseudo_num_mining: 0.8434, pseudo_num(acc): 0.8781, pseudo_num ig(acc): 0.4816, loss: 1.3159
2021-10-31 18:35:35,577 - mmdet - INFO - Iter [11550/40000]	lr: 2.000e-02, eta: 15:10:38, time: 1.732, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0410, loss_rpn_bbox: 0.0542, loss_cls: 0.2456, acc: 91.7836, loss_bbox: 0.2829, loss_rpn_cls_unlabeled: 0.0915, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1922, acc_unlabeled: 92.1338, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1811, pseudo_num: 1.4988, pseudo_num_ig: 5.5822, pseudo_num_mining: 0.8445, pseudo_num(acc): 0.8781, pseudo_num ig(acc): 0.4817, loss: 1.3647
2021-10-31 18:37:01,360 - mmdet - INFO - Iter [11600/40000]	lr: 2.000e-02, eta: 15:08:37, time: 1.717, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0509, loss_cls: 0.2327, acc: 92.1185, loss_bbox: 0.2717, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.0951, loss_cls_unlabeled: 0.1846, acc_unlabeled: 92.3241, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1753, pseudo_num: 1.4989, pseudo_num_ig: 5.5822, pseudo_num_mining: 0.8454, pseudo_num(acc): 0.8782, pseudo_num ig(acc): 0.4817, loss: 1.3148
2021-10-31 18:38:28,065 - mmdet - INFO - Iter [11650/40000]	lr: 2.000e-02, eta: 15:06:38, time: 1.733, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0499, loss_cls: 0.2306, acc: 92.3521, loss_bbox: 0.2639, loss_rpn_cls_unlabeled: 0.0888, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1925, acc_unlabeled: 92.0649, loss_bbox_unlabeled: 0.1885, losses_cls_ig_unlabeled: 0.1825, pseudo_num: 1.4991, pseudo_num_ig: 5.5821, pseudo_num_mining: 0.8464, pseudo_num(acc): 0.8783, pseudo_num ig(acc): 0.4818, loss: 1.3291
2021-10-31 18:39:56,069 - mmdet - INFO - Iter [11700/40000]	lr: 2.000e-02, eta: 15:04:43, time: 1.761, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0518, loss_cls: 0.2340, acc: 92.2383, loss_bbox: 0.2664, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1898, acc_unlabeled: 92.1251, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1843, pseudo_num: 1.4991, pseudo_num_ig: 5.5819, pseudo_num_mining: 0.8472, pseudo_num(acc): 0.8784, pseudo_num ig(acc): 0.4819, loss: 1.3239
2021-10-31 18:41:23,147 - mmdet - INFO - Iter [11750/40000]	lr: 2.000e-02, eta: 15:02:45, time: 1.737, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0516, loss_cls: 0.2388, acc: 92.0449, loss_bbox: 0.2722, loss_rpn_cls_unlabeled: 0.0921, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1938, acc_unlabeled: 92.1882, loss_bbox_unlabeled: 0.1870, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4992, pseudo_num_ig: 5.5814, pseudo_num_mining: 0.8480, pseudo_num(acc): 0.8784, pseudo_num ig(acc): 0.4820, loss: 1.3508
2021-10-31 18:42:48,530 - mmdet - INFO - Iter [11800/40000]	lr: 2.000e-02, eta: 15:00:45, time: 1.709, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0503, loss_cls: 0.2363, acc: 92.1520, loss_bbox: 0.2695, loss_rpn_cls_unlabeled: 0.0979, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1982, acc_unlabeled: 92.1603, loss_bbox_unlabeled: 0.1892, losses_cls_ig_unlabeled: 0.1792, pseudo_num: 1.4996, pseudo_num_ig: 5.5812, pseudo_num_mining: 0.8488, pseudo_num(acc): 0.8785, pseudo_num ig(acc): 0.4820, loss: 1.3546
2021-10-31 18:44:15,210 - mmdet - INFO - Iter [11850/40000]	lr: 2.000e-02, eta: 14:58:47, time: 1.736, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0471, loss_cls: 0.2331, acc: 92.2064, loss_bbox: 0.2655, loss_rpn_cls_unlabeled: 0.0864, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1818, acc_unlabeled: 92.4008, loss_bbox_unlabeled: 0.1721, losses_cls_ig_unlabeled: 0.1760, pseudo_num: 1.4995, pseudo_num_ig: 5.5808, pseudo_num_mining: 0.8495, pseudo_num(acc): 0.8786, pseudo_num ig(acc): 0.4821, loss: 1.2888
2021-10-31 18:45:42,087 - mmdet - INFO - Iter [11900/40000]	lr: 2.000e-02, eta: 14:56:51, time: 1.739, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0494, loss_cls: 0.2298, acc: 92.2158, loss_bbox: 0.2670, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1866, acc_unlabeled: 92.1903, loss_bbox_unlabeled: 0.1750, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.4993, pseudo_num_ig: 5.5803, pseudo_num_mining: 0.8501, pseudo_num(acc): 0.8786, pseudo_num ig(acc): 0.4821, loss: 1.3053
2021-10-31 18:47:08,874 - mmdet - INFO - Iter [11950/40000]	lr: 2.000e-02, eta: 14:54:54, time: 1.735, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0496, loss_cls: 0.2330, acc: 92.1648, loss_bbox: 0.2651, loss_rpn_cls_unlabeled: 0.0928, loss_rpn_bbox_unlabeled: 0.1007, loss_cls_unlabeled: 0.1880, acc_unlabeled: 91.9358, loss_bbox_unlabeled: 0.1803, losses_cls_ig_unlabeled: 0.1858, pseudo_num: 1.4991, pseudo_num_ig: 5.5802, pseudo_num_mining: 0.8508, pseudo_num(acc): 0.8787, pseudo_num ig(acc): 0.4822, loss: 1.3335
2021-10-31 18:48:34,568 - mmdet - INFO - pseudo pos: 0.98(22537.0-person) 0.94(533.0-bicycle) 0.94(3714.0-car) 0.98(679.0-motorcycle) 1.00(379.0-airplane) 1.00(453.0-bus) 0.99(437.0-train) 0.76(848.0-truck) 0.76(901.0-boat) 0.92(1161.0-traffic light) 0.99(140.0-fire hydrant) 1.00(150.0-stop sign) 0.94(100.0-parking meter) 0.72(851.0-bench) 0.92(852.0-bird) 0.98(406.0-cat) 0.98(418.0-dog) 0.99(565.0-horse) 0.94(809.0-sheep) 0.95(614.0-cow) 1.00(426.0-elephant) 0.99(141.0-bear) 0.99(429.0-zebra) 0.99(460.0-giraffe) 0.55(703.0-backpack) 0.82(1037.0-umbrella) 0.54(954.0-handbag) 0.94(450.0-tie) 0.80(484.0-suitcase) 0.99(186.0-frisbee) 0.73(546.0-skis) 0.78(193.0-snowboard) 0.98(509.0-sports ball) 0.91(646.0-kite) 0.90(283.0-baseball bat) 0.95(269.0-baseball glove) 0.99(495.0-skateboard) 0.90(586.0-surfboard) 0.98(368.0-tennis racket) 0.88(1931.0-bottle) 0.96(623.0-wine glass) 0.90(1904.0-cup) 0.78(384.0-fork) 0.53(717.0-knife) 0.51(529.0-spoon) 0.84(1306.0-bowl) 0.71(833.0-banana) 0.54(433.0-apple) 0.84(440.0-sandwich) 0.68(611.0-orange) 0.70(626.0-broccoli) 0.59(621.0-carrot) 0.76(246.0-hot dog) 0.95(481.0-pizza) 0.93(526.0-donut) 0.87(500.0-cake) 0.79(3318.0-chair) 0.83(525.0-couch) 0.75(813.0-potted plant) 0.94(341.0-bed) 0.72(1781.0-dining table) 0.96(317.0-toilet) 0.98(428.0-tv) 0.97(397.0-laptop) 0.98(183.0-mouse) 0.75(391.0-remote) 0.99(239.0-keyboard) 0.86(548.0-cell phone) 0.98(125.0-microwave) 0.90(304.0-oven) 0.67(3.0-toaster) 0.85(456.0-sink) 0.97(215.0-refrigerator) 0.35(1647.0-book) 0.99(544.0-clock) 0.92(565.0-vase) 0.76(147.0-scissors) 0.94(414.0-teddy bear) 0.00(0.0-hair drier) 0.51(153.0-toothbrush)
2021-10-31 18:48:34,569 - mmdet - INFO - pseudo ig: 0.64(80929.0-person) 0.44(1931.0-bicycle) 0.50(13807.0-car) 0.57(2653.0-motorcycle) 0.70(1392.0-airplane) 0.66(1645.0-bus) 0.61(1381.0-train) 0.36(3190.0-truck) 0.35(3390.0-boat) 0.40(4454.0-traffic light) 0.71(591.0-fire hydrant) 0.61(604.0-stop sign) 0.37(430.0-parking meter) 0.22(3089.0-bench) 0.33(3252.0-bird) 0.76(1472.0-cat) 0.68(1583.0-dog) 0.62(1898.0-horse) 0.53(3449.0-sheep) 0.52(2830.0-cow) 0.76(1697.0-elephant) 0.67(420.0-bear) 0.78(1700.0-zebra) 0.87(1482.0-giraffe) 0.23(2718.0-backpack) 0.41(3944.0-umbrella) 0.21(4011.0-handbag) 0.44(1708.0-tie) 0.41(1739.0-suitcase) 0.62(804.0-frisbee) 0.36(2078.0-skis) 0.32(796.0-snowboard) 0.40(2011.0-sports ball) 0.50(2418.0-kite) 0.38(1104.0-baseball bat) 0.45(1134.0-baseball glove) 0.57(1724.0-skateboard) 0.44(2073.0-surfboard) 0.65(1479.0-tennis racket) 0.44(7275.0-bottle) 0.44(2661.0-wine glass) 0.36(7513.0-cup) 0.29(1770.0-fork) 0.23(2667.0-knife) 0.19(2232.0-spoon) 0.39(5355.0-bowl) 0.28(3549.0-banana) 0.20(1963.0-apple) 0.35(1496.0-sandwich) 0.26(2455.0-orange) 0.38(2413.0-broccoli) 0.24(2578.0-carrot) 0.33(881.0-hot dog) 0.56(1844.0-pizza) 0.40(2243.0-donut) 0.37(1976.0-cake) 0.31(12532.0-chair) 0.40(1944.0-couch) 0.35(2951.0-potted plant) 0.52(1178.0-bed) 0.36(4892.0-dining table) 0.70(1274.0-toilet) 0.62(1796.0-tv) 0.59(1653.0-laptop) 0.45(755.0-mouse) 0.34(1745.0-remote) 0.46(890.0-keyboard) 0.29(2107.0-cell phone) 0.57(474.0-microwave) 0.37(1121.0-oven) 0.00(0.0-toaster) 0.45(1749.0-sink) 0.47(779.0-refrigerator) 0.19(6542.0-book) 0.61(1901.0-clock) 0.39(2409.0-vase) 0.22(480.0-scissors) 0.48(1566.0-teddy bear) 0.00(0.0-hair drier) 0.19(548.0-toothbrush)
2021-10-31 18:48:34,569 - mmdet - INFO - pseudo gt: 105804.0 2897.0 17416.0 3611.0 1982.0 2539.0 1812.0 3821.0 4170.0 5148.0 751.0 773.0 500.0 4032.0 4191.0 1874.0 2238.0 2526.0 4022.0 3202.0 2171.0 539.0 2314.0 2073.0 3522.0 4675.0 4948.0 2665.0 2657.0 1081.0 2766.0 1117.0 2443.0 3536.0 1267.0 1503.0 2397.0 2292.0 2021.0 9837.0 3429.0 8315.0 2231.0 3341.0 2468.0 5757.0 3866.0 2311.0 1805.0 2526.0 3081.0 2980.0 1194.0 2389.0 2824.0 2510.0 15965.0 2349.0 3666.0 1630.0 6596.0 1739.0 2396.0 2038.0 906.0 2246.0 1168.0 2615.0 687.0 1326.0 99.0 2228.0 1106.0 9442.0 2599.0 2718.0 533.0 1791.0 67.0 736.0
2021-10-31 18:48:34,569 - mmdet - INFO - pseudo mining: 21238.0 72.0 2132.0 250.0 259.0 451.0 201.0 24.0 112.0 549.0 275.0 389.0 18.0 18.0 123.0 260.0 218.0 322.0 726.0 368.0 719.0 119.0 876.0 906.0 2.0 260.0 3.0 167.0 73.0 352.0 45.0 1.0 665.0 687.0 81.0 317.0 323.0 76.0 485.0 740.0 199.0 632.0 11.0 12.0 3.0 334.0 48.0 16.0 30.0 36.0 97.0 44.0 2.0 291.0 312.0 34.0 96.0 13.0 135.0 19.0 79.0 543.0 625.0 289.0 244.0 59.0 108.0 119.0 98.0 35.0 0.0 259.0 58.0 5.0 1262.0 208.0 1.0 116.0 0.0 1.0
2021-10-31 18:49:30,515 - mmdet - INFO - Evaluating bbox...
2021-10-31 18:50:45,194 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.451 | bicycle      | 0.206 | car            | 0.360 |
| motorcycle    | 0.304 | airplane     | 0.460 | bus            | 0.501 |
| train         | 0.452 | truck        | 0.247 | boat           | 0.158 |
| traffic light | 0.219 | fire hydrant | 0.531 | stop sign      | 0.559 |
| parking meter | 0.381 | bench        | 0.158 | bird           | 0.236 |
| cat           | 0.457 | dog          | 0.432 | horse          | 0.441 |
| sheep         | 0.363 | cow          | 0.377 | elephant       | 0.492 |
| bear          | 0.492 | zebra        | 0.532 | giraffe        | 0.543 |
| backpack      | 0.101 | umbrella     | 0.239 | handbag        | 0.064 |
| tie           | 0.225 | suitcase     | 0.165 | frisbee        | 0.531 |
| skis          | 0.136 | snowboard    | 0.190 | sports ball    | 0.352 |
| kite          | 0.277 | baseball bat | 0.165 | baseball glove | 0.276 |
| skateboard    | 0.343 | surfboard    | 0.237 | tennis racket  | 0.344 |
| bottle        | 0.293 | wine glass   | 0.255 | cup            | 0.312 |
| fork          | 0.126 | knife        | 0.073 | spoon          | 0.065 |
| bowl          | 0.316 | banana       | 0.153 | apple          | 0.110 |
| sandwich      | 0.216 | orange       | 0.219 | broccoli       | 0.166 |
| carrot        | 0.102 | hot dog      | 0.161 | pizza          | 0.387 |
| donut         | 0.246 | cake         | 0.199 | chair          | 0.159 |
| couch         | 0.281 | potted plant | 0.162 | bed            | 0.289 |
| dining table  | 0.161 | toilet       | 0.452 | tv             | 0.440 |
| laptop        | 0.453 | mouse        | 0.497 | remote         | 0.178 |
| keyboard      | 0.363 | cell phone   | 0.246 | microwave      | 0.419 |
| oven          | 0.233 | toaster      | 0.095 | sink           | 0.267 |
| refrigerator  | 0.329 | book         | 0.070 | clock          | 0.404 |
| vase          | 0.263 | scissors     | 0.193 | teddy bear     | 0.301 |
| hair drier    | 0.000 | toothbrush   | 0.105 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 18:51:42,601 - mmdet - INFO - Evaluating bbox...
2021-10-31 18:52:53,247 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.468 | bicycle      | 0.221 | car            | 0.378 |
| motorcycle    | 0.329 | airplane     | 0.501 | bus            | 0.556 |
| train         | 0.495 | truck        | 0.250 | boat           | 0.187 |
| traffic light | 0.240 | fire hydrant | 0.559 | stop sign      | 0.590 |
| parking meter | 0.442 | bench        | 0.167 | bird           | 0.278 |
| cat           | 0.515 | dog          | 0.475 | horse          | 0.475 |
| sheep         | 0.391 | cow          | 0.463 | elephant       | 0.532 |
| bear          | 0.560 | zebra        | 0.566 | giraffe        | 0.590 |
| backpack      | 0.111 | umbrella     | 0.280 | handbag        | 0.080 |
| tie           | 0.233 | suitcase     | 0.212 | frisbee        | 0.554 |
| skis          | 0.153 | snowboard    | 0.200 | sports ball    | 0.391 |
| kite          | 0.322 | baseball bat | 0.187 | baseball glove | 0.301 |
| skateboard    | 0.373 | surfboard    | 0.253 | tennis racket  | 0.357 |
| bottle        | 0.319 | wine glass   | 0.286 | cup            | 0.342 |
| fork          | 0.176 | knife        | 0.085 | spoon          | 0.081 |
| bowl          | 0.362 | banana       | 0.166 | apple          | 0.117 |
| sandwich      | 0.259 | orange       | 0.252 | broccoli       | 0.181 |
| carrot        | 0.124 | hot dog      | 0.164 | pizza          | 0.404 |
| donut         | 0.316 | cake         | 0.240 | chair          | 0.177 |
| couch         | 0.311 | potted plant | 0.181 | bed            | 0.317 |
| dining table  | 0.187 | toilet       | 0.496 | tv             | 0.472 |
| laptop        | 0.482 | mouse        | 0.524 | remote         | 0.183 |
| keyboard      | 0.388 | cell phone   | 0.267 | microwave      | 0.432 |
| oven          | 0.249 | toaster      | 0.195 | sink           | 0.275 |
| refrigerator  | 0.393 | book         | 0.063 | clock          | 0.427 |
| vase          | 0.306 | scissors     | 0.205 | teddy bear     | 0.339 |
| hair drier    | 0.000 | toothbrush   | 0.109 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 18:54:24,031 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 18:54:24,031 - mmdet - INFO - Iter [12000/40000]	lr: 2.000e-02, eta: 14:52:58, time: 1.743, data_time: 0.027, memory: 26484, bbox_mAP: 0.3140, bbox_mAP_50: 0.5170, bbox_mAP_75: 0.3310, bbox_mAP_s: 0.1780, bbox_mAP_m: 0.3450, bbox_mAP_l: 0.4080, bbox_mAP_copypaste: 0.314 0.517 0.331 0.178 0.345 0.408, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0504, loss_cls: 0.2359, acc: 92.2321, loss_bbox: 0.2706, loss_rpn_cls_unlabeled: 0.0902, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1955, acc_unlabeled: 92.0530, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1870, pseudo_num: 1.4991, pseudo_num_ig: 5.5814, pseudo_num_mining: 0.8520, pseudo_num(acc): 0.8788, pseudo_num ig(acc): 0.4822, loss: 1.3530
2021-10-31 18:55:46,458 - mmdet - INFO - Iter [12050/40000]	lr: 2.000e-02, eta: 15:04:19, time: 8.609, data_time: 6.986, memory: 26484, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0512, loss_cls: 0.2342, acc: 92.1975, loss_bbox: 0.2668, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1908, acc_unlabeled: 91.8254, loss_bbox_unlabeled: 0.1806, losses_cls_ig_unlabeled: 0.1878, pseudo_num: 1.4990, pseudo_num_ig: 5.5816, pseudo_num_mining: 0.8529, pseudo_num(acc): 0.8789, pseudo_num ig(acc): 0.4822, loss: 1.3311
2021-10-31 18:57:11,989 - mmdet - INFO - Iter [12100/40000]	lr: 2.000e-02, eta: 15:02:15, time: 1.709, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0518, loss_cls: 0.2376, acc: 92.1274, loss_bbox: 0.2674, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1865, acc_unlabeled: 92.0542, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1847, pseudo_num: 1.4990, pseudo_num_ig: 5.5830, pseudo_num_mining: 0.8537, pseudo_num(acc): 0.8789, pseudo_num ig(acc): 0.4823, loss: 1.3303
2021-10-31 18:58:39,040 - mmdet - INFO - Iter [12150/40000]	lr: 2.000e-02, eta: 15:00:15, time: 1.742, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0497, loss_cls: 0.2261, acc: 92.4509, loss_bbox: 0.2632, loss_rpn_cls_unlabeled: 0.0933, loss_rpn_bbox_unlabeled: 0.1035, loss_cls_unlabeled: 0.1882, acc_unlabeled: 91.9707, loss_bbox_unlabeled: 0.1786, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.4990, pseudo_num_ig: 5.5840, pseudo_num_mining: 0.8545, pseudo_num(acc): 0.8789, pseudo_num ig(acc): 0.4823, loss: 1.3252
2021-10-31 19:00:06,989 - mmdet - INFO - Iter [12200/40000]	lr: 2.000e-02, eta: 14:58:18, time: 1.760, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0496, loss_cls: 0.2266, acc: 92.3925, loss_bbox: 0.2587, loss_rpn_cls_unlabeled: 0.0967, loss_rpn_bbox_unlabeled: 0.1019, loss_cls_unlabeled: 0.1860, acc_unlabeled: 91.7675, loss_bbox_unlabeled: 0.1806, losses_cls_ig_unlabeled: 0.1867, pseudo_num: 1.4990, pseudo_num_ig: 5.5860, pseudo_num_mining: 0.8554, pseudo_num(acc): 0.8789, pseudo_num ig(acc): 0.4822, loss: 1.3232
2021-10-31 19:01:32,476 - mmdet - INFO - Iter [12250/40000]	lr: 2.000e-02, eta: 14:56:15, time: 1.709, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0493, loss_cls: 0.2281, acc: 92.2542, loss_bbox: 0.2657, loss_rpn_cls_unlabeled: 0.0907, loss_rpn_bbox_unlabeled: 0.1016, loss_cls_unlabeled: 0.1948, acc_unlabeled: 91.9709, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1816, pseudo_num: 1.4993, pseudo_num_ig: 5.5874, pseudo_num_mining: 0.8561, pseudo_num(acc): 0.8789, pseudo_num ig(acc): 0.4822, loss: 1.3306
2021-10-31 19:03:00,528 - mmdet - INFO - Iter [12300/40000]	lr: 2.000e-02, eta: 14:54:18, time: 1.759, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0512, loss_cls: 0.2380, acc: 91.9911, loss_bbox: 0.2741, loss_rpn_cls_unlabeled: 0.0902, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1879, acc_unlabeled: 92.1575, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.4993, pseudo_num_ig: 5.5873, pseudo_num_mining: 0.8568, pseudo_num(acc): 0.8790, pseudo_num ig(acc): 0.4823, loss: 1.3358
2021-10-31 19:04:26,762 - mmdet - INFO - Iter [12350/40000]	lr: 2.000e-02, eta: 14:52:17, time: 1.726, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0522, loss_cls: 0.2336, acc: 92.1940, loss_bbox: 0.2678, loss_rpn_cls_unlabeled: 0.0938, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1930, acc_unlabeled: 91.6305, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1894, pseudo_num: 1.4995, pseudo_num_ig: 5.5883, pseudo_num_mining: 0.8575, pseudo_num(acc): 0.8790, pseudo_num ig(acc): 0.4823, loss: 1.3467
2021-10-31 19:05:51,571 - mmdet - INFO - Iter [12400/40000]	lr: 2.000e-02, eta: 14:50:13, time: 1.690, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0511, loss_cls: 0.2308, acc: 92.3826, loss_bbox: 0.2633, loss_rpn_cls_unlabeled: 0.0886, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1882, acc_unlabeled: 91.9746, loss_bbox_unlabeled: 0.1815, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.4995, pseudo_num_ig: 5.5894, pseudo_num_mining: 0.8584, pseudo_num(acc): 0.8790, pseudo_num ig(acc): 0.4823, loss: 1.3192
2021-10-31 19:07:16,398 - mmdet - INFO - Iter [12450/40000]	lr: 2.000e-02, eta: 14:48:11, time: 1.704, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0488, loss_cls: 0.2303, acc: 92.2810, loss_bbox: 0.2623, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0968, loss_cls_unlabeled: 0.1900, acc_unlabeled: 91.8981, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1826, pseudo_num: 1.4995, pseudo_num_ig: 5.5906, pseudo_num_mining: 0.8594, pseudo_num(acc): 0.8791, pseudo_num ig(acc): 0.4823, loss: 1.3203
2021-10-31 19:08:40,904 - mmdet - INFO - pseudo pos: 0.98(23493.0-person) 0.94(557.0-bicycle) 0.94(3873.0-car) 0.98(692.0-motorcycle) 1.00(397.0-airplane) 1.00(468.0-bus) 0.99(460.0-train) 0.76(903.0-truck) 0.76(932.0-boat) 0.92(1210.0-traffic light) 0.99(146.0-fire hydrant) 1.00(153.0-stop sign) 0.94(104.0-parking meter) 0.72(885.0-bench) 0.92(875.0-bird) 0.98(418.0-cat) 0.98(440.0-dog) 0.99(589.0-horse) 0.94(863.0-sheep) 0.95(639.0-cow) 1.00(454.0-elephant) 0.99(143.0-bear) 0.99(451.0-zebra) 0.99(477.0-giraffe) 0.56(737.0-backpack) 0.82(1058.0-umbrella) 0.54(1001.0-handbag) 0.93(464.0-tie) 0.80(496.0-suitcase) 0.99(196.0-frisbee) 0.73(563.0-skis) 0.78(197.0-snowboard) 0.98(531.0-sports ball) 0.92(672.0-kite) 0.90(290.0-baseball bat) 0.95(281.0-baseball glove) 0.98(513.0-skateboard) 0.90(609.0-surfboard) 0.98(387.0-tennis racket) 0.88(2010.0-bottle) 0.96(638.0-wine glass) 0.90(1998.0-cup) 0.78(407.0-fork) 0.53(747.0-knife) 0.51(554.0-spoon) 0.85(1358.0-bowl) 0.71(854.0-banana) 0.54(449.0-apple) 0.83(455.0-sandwich) 0.68(634.0-orange) 0.71(651.0-broccoli) 0.58(662.0-carrot) 0.76(250.0-hot dog) 0.95(507.0-pizza) 0.93(559.0-donut) 0.88(521.0-cake) 0.79(3447.0-chair) 0.83(555.0-couch) 0.75(853.0-potted plant) 0.95(357.0-bed) 0.72(1858.0-dining table) 0.96(327.0-toilet) 0.98(445.0-tv) 0.97(411.0-laptop) 0.97(190.0-mouse) 0.76(419.0-remote) 0.99(245.0-keyboard) 0.87(566.0-cell phone) 0.98(126.0-microwave) 0.90(317.0-oven) 0.67(3.0-toaster) 0.84(474.0-sink) 0.97(224.0-refrigerator) 0.35(1729.0-book) 0.99(567.0-clock) 0.92(589.0-vase) 0.76(148.0-scissors) 0.94(425.0-teddy bear) 0.00(0.0-hair drier) 0.50(157.0-toothbrush)
2021-10-31 19:08:40,905 - mmdet - INFO - pseudo ig: 0.64(84122.0-person) 0.43(2028.0-bicycle) 0.50(14491.0-car) 0.57(2744.0-motorcycle) 0.70(1479.0-airplane) 0.66(1732.0-bus) 0.62(1436.0-train) 0.36(3364.0-truck) 0.35(3496.0-boat) 0.40(4668.0-traffic light) 0.71(614.0-fire hydrant) 0.62(623.0-stop sign) 0.36(450.0-parking meter) 0.22(3205.0-bench) 0.33(3469.0-bird) 0.76(1539.0-cat) 0.67(1660.0-dog) 0.62(1990.0-horse) 0.52(3648.0-sheep) 0.52(2941.0-cow) 0.76(1796.0-elephant) 0.66(440.0-bear) 0.78(1745.0-zebra) 0.87(1542.0-giraffe) 0.23(2829.0-backpack) 0.41(4098.0-umbrella) 0.21(4194.0-handbag) 0.44(1770.0-tie) 0.41(1817.0-suitcase) 0.63(833.0-frisbee) 0.35(2158.0-skis) 0.32(819.0-snowboard) 0.40(2108.0-sports ball) 0.50(2531.0-kite) 0.38(1146.0-baseball bat) 0.45(1159.0-baseball glove) 0.57(1800.0-skateboard) 0.43(2164.0-surfboard) 0.66(1526.0-tennis racket) 0.44(7631.0-bottle) 0.45(2755.0-wine glass) 0.36(7866.0-cup) 0.29(1859.0-fork) 0.23(2779.0-knife) 0.19(2322.0-spoon) 0.38(5594.0-bowl) 0.28(3633.0-banana) 0.21(2020.0-apple) 0.35(1561.0-sandwich) 0.26(2512.0-orange) 0.38(2494.0-broccoli) 0.24(2702.0-carrot) 0.33(909.0-hot dog) 0.56(1935.0-pizza) 0.40(2307.0-donut) 0.37(2041.0-cake) 0.31(13058.0-chair) 0.39(2048.0-couch) 0.36(3104.0-potted plant) 0.52(1231.0-bed) 0.37(5088.0-dining table) 0.71(1334.0-toilet) 0.62(1850.0-tv) 0.59(1722.0-laptop) 0.45(772.0-mouse) 0.34(1819.0-remote) 0.46(929.0-keyboard) 0.29(2188.0-cell phone) 0.58(504.0-microwave) 0.37(1164.0-oven) 0.00(0.0-toaster) 0.45(1850.0-sink) 0.47(807.0-refrigerator) 0.19(6833.0-book) 0.62(2012.0-clock) 0.38(2531.0-vase) 0.22(482.0-scissors) 0.48(1640.0-teddy bear) 0.00(0.0-hair drier) 0.19(570.0-toothbrush)
2021-10-31 19:08:40,905 - mmdet - INFO - pseudo gt: 109974.0 3024.0 18251.0 3705.0 2106.0 2651.0 1893.0 4003.0 4333.0 5362.0 779.0 802.0 509.0 4199.0 4407.0 1944.0 2338.0 2639.0 4232.0 3375.0 2293.0 556.0 2384.0 2152.0 3661.0 4824.0 5178.0 2757.0 2760.0 1130.0 2856.0 1174.0 2544.0 3665.0 1308.0 1538.0 2476.0 2399.0 2099.0 10211.0 3560.0 8690.0 2340.0 3485.0 2558.0 5999.0 3984.0 2386.0 1900.0 2600.0 3222.0 3109.0 1221.0 2483.0 2948.0 2644.0 16596.0 2449.0 3852.0 1704.0 6863.0 1808.0 2471.0 2109.0 938.0 2343.0 1202.0 2721.0 719.0 1376.0 102.0 2344.0 1145.0 9839.0 2756.0 2847.0 544.0 1876.0 71.0 780.0
2021-10-31 19:08:40,905 - mmdet - INFO - pseudo mining: 22248.0 76.0 2247.0 258.0 284.0 476.0 217.0 29.0 117.0 570.0 289.0 405.0 18.0 19.0 135.0 273.0 225.0 344.0 758.0 397.0 759.0 130.0 904.0 940.0 2.0 273.0 3.0 174.0 80.0 366.0 45.0 3.0 708.0 719.0 84.0 321.0 340.0 78.0 509.0 777.0 215.0 667.0 11.0 16.0 4.0 348.0 48.0 16.0 30.0 36.0 104.0 46.0 2.0 306.0 327.0 35.0 106.0 13.0 145.0 23.0 83.0 578.0 648.0 317.0 250.0 63.0 114.0 124.0 112.0 36.0 0.0 281.0 63.0 5.0 1332.0 220.0 1.0 124.0 0.0 1.0
2021-10-31 19:08:42,537 - mmdet - INFO - Iter [12500/40000]	lr: 2.000e-02, eta: 14:46:11, time: 1.722, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0519, loss_cls: 0.2384, acc: 92.0007, loss_bbox: 0.2726, loss_rpn_cls_unlabeled: 0.0955, loss_rpn_bbox_unlabeled: 0.1030, loss_cls_unlabeled: 0.1905, acc_unlabeled: 91.8741, loss_bbox_unlabeled: 0.1783, losses_cls_ig_unlabeled: 0.1822, pseudo_num: 1.4997, pseudo_num_ig: 5.5920, pseudo_num_mining: 0.8602, pseudo_num(acc): 0.8791, pseudo_num ig(acc): 0.4823, loss: 1.3495
2021-10-31 19:10:08,184 - mmdet - INFO - Iter [12550/40000]	lr: 2.000e-02, eta: 14:44:10, time: 1.714, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0514, loss_cls: 0.2334, acc: 92.1367, loss_bbox: 0.2738, loss_rpn_cls_unlabeled: 0.0909, loss_rpn_bbox_unlabeled: 0.0968, loss_cls_unlabeled: 0.1770, acc_unlabeled: 92.0845, loss_bbox_unlabeled: 0.1682, losses_cls_ig_unlabeled: 0.1812, pseudo_num: 1.4994, pseudo_num_ig: 5.5924, pseudo_num_mining: 0.8610, pseudo_num(acc): 0.8792, pseudo_num ig(acc): 0.4824, loss: 1.3104
2021-10-31 19:11:33,362 - mmdet - INFO - Iter [12600/40000]	lr: 2.000e-02, eta: 14:42:08, time: 1.702, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0480, loss_cls: 0.2222, acc: 92.4834, loss_bbox: 0.2587, loss_rpn_cls_unlabeled: 0.0928, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1864, acc_unlabeled: 92.1138, loss_bbox_unlabeled: 0.1787, losses_cls_ig_unlabeled: 0.1792, pseudo_num: 1.4992, pseudo_num_ig: 5.5929, pseudo_num_mining: 0.8617, pseudo_num(acc): 0.8793, pseudo_num ig(acc): 0.4824, loss: 1.2976
2021-10-31 19:12:59,807 - mmdet - INFO - Iter [12650/40000]	lr: 2.000e-02, eta: 14:40:10, time: 1.728, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0485, loss_cls: 0.2287, acc: 92.3281, loss_bbox: 0.2670, loss_rpn_cls_unlabeled: 0.0914, loss_rpn_bbox_unlabeled: 0.0981, loss_cls_unlabeled: 0.1845, acc_unlabeled: 92.1360, loss_bbox_unlabeled: 0.1773, losses_cls_ig_unlabeled: 0.1829, pseudo_num: 1.4993, pseudo_num_ig: 5.5936, pseudo_num_mining: 0.8626, pseudo_num(acc): 0.8794, pseudo_num ig(acc): 0.4824, loss: 1.3156
2021-10-31 19:14:26,006 - mmdet - INFO - Iter [12700/40000]	lr: 2.000e-02, eta: 14:38:11, time: 1.724, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0515, loss_cls: 0.2297, acc: 92.2693, loss_bbox: 0.2687, loss_rpn_cls_unlabeled: 0.0928, loss_rpn_bbox_unlabeled: 0.0988, loss_cls_unlabeled: 0.1877, acc_unlabeled: 91.9441, loss_bbox_unlabeled: 0.1807, losses_cls_ig_unlabeled: 0.1887, pseudo_num: 1.4993, pseudo_num_ig: 5.5947, pseudo_num_mining: 0.8634, pseudo_num(acc): 0.8794, pseudo_num ig(acc): 0.4824, loss: 1.3368
2021-10-31 19:15:51,616 - mmdet - INFO - Iter [12750/40000]	lr: 2.000e-02, eta: 14:36:11, time: 1.710, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0488, loss_cls: 0.2208, acc: 92.5880, loss_bbox: 0.2566, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1914, acc_unlabeled: 92.0697, loss_bbox_unlabeled: 0.1832, losses_cls_ig_unlabeled: 0.1794, pseudo_num: 1.4994, pseudo_num_ig: 5.5961, pseudo_num_mining: 0.8645, pseudo_num(acc): 0.8795, pseudo_num ig(acc): 0.4824, loss: 1.3019
2021-10-31 19:17:18,228 - mmdet - INFO - Iter [12800/40000]	lr: 2.000e-02, eta: 14:34:14, time: 1.736, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0507, loss_cls: 0.2326, acc: 92.1327, loss_bbox: 0.2689, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1928, acc_unlabeled: 91.7651, loss_bbox_unlabeled: 0.1865, losses_cls_ig_unlabeled: 0.1850, pseudo_num: 1.4997, pseudo_num_ig: 5.5970, pseudo_num_mining: 0.8653, pseudo_num(acc): 0.8795, pseudo_num ig(acc): 0.4824, loss: 1.3386
2021-10-31 19:18:45,011 - mmdet - INFO - Iter [12850/40000]	lr: 2.000e-02, eta: 14:32:17, time: 1.737, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0515, loss_cls: 0.2372, acc: 92.0420, loss_bbox: 0.2738, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.0071, loss_bbox_unlabeled: 0.1782, losses_cls_ig_unlabeled: 0.1808, pseudo_num: 1.4999, pseudo_num_ig: 5.5981, pseudo_num_mining: 0.8659, pseudo_num(acc): 0.8795, pseudo_num ig(acc): 0.4824, loss: 1.3283
2021-10-31 19:20:10,843 - mmdet - INFO - Iter [12900/40000]	lr: 2.000e-02, eta: 14:30:19, time: 1.716, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0506, loss_cls: 0.2317, acc: 92.2634, loss_bbox: 0.2653, loss_rpn_cls_unlabeled: 0.0930, loss_rpn_bbox_unlabeled: 0.1012, loss_cls_unlabeled: 0.1841, acc_unlabeled: 91.9874, loss_bbox_unlabeled: 0.1786, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.5000, pseudo_num_ig: 5.5986, pseudo_num_mining: 0.8665, pseudo_num(acc): 0.8795, pseudo_num ig(acc): 0.4824, loss: 1.3247
2021-10-31 19:21:36,329 - mmdet - INFO - Iter [12950/40000]	lr: 2.000e-02, eta: 14:28:20, time: 1.710, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0494, loss_cls: 0.2278, acc: 92.3346, loss_bbox: 0.2633, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1837, acc_unlabeled: 92.2115, loss_bbox_unlabeled: 0.1760, losses_cls_ig_unlabeled: 0.1773, pseudo_num: 1.4999, pseudo_num_ig: 5.5991, pseudo_num_mining: 0.8672, pseudo_num(acc): 0.8795, pseudo_num ig(acc): 0.4824, loss: 1.2905
2021-10-31 19:23:00,056 - mmdet - INFO - pseudo pos: 0.98(24469.0-person) 0.93(572.0-bicycle) 0.94(4069.0-car) 0.98(724.0-motorcycle) 1.00(414.0-airplane) 1.00(486.0-bus) 0.99(474.0-train) 0.76(954.0-truck) 0.76(948.0-boat) 0.92(1274.0-traffic light) 0.99(153.0-fire hydrant) 1.00(162.0-stop sign) 0.94(108.0-parking meter) 0.73(924.0-bench) 0.92(900.0-bird) 0.98(441.0-cat) 0.98(451.0-dog) 0.99(611.0-horse) 0.94(897.0-sheep) 0.95(676.0-cow) 1.00(475.0-elephant) 0.99(151.0-bear) 0.99(468.0-zebra) 0.99(491.0-giraffe) 0.56(754.0-backpack) 0.82(1077.0-umbrella) 0.53(1044.0-handbag) 0.93(481.0-tie) 0.80(510.0-suitcase) 1.00(208.0-frisbee) 0.73(586.0-skis) 0.79(204.0-snowboard) 0.98(550.0-sports ball) 0.91(692.0-kite) 0.90(297.0-baseball bat) 0.96(294.0-baseball glove) 0.98(532.0-skateboard) 0.90(636.0-surfboard) 0.99(408.0-tennis racket) 0.88(2095.0-bottle) 0.96(669.0-wine glass) 0.90(2065.0-cup) 0.79(421.0-fork) 0.53(773.0-knife) 0.52(568.0-spoon) 0.84(1429.0-bowl) 0.71(888.0-banana) 0.55(489.0-apple) 0.84(462.0-sandwich) 0.69(656.0-orange) 0.71(672.0-broccoli) 0.57(690.0-carrot) 0.76(255.0-hot dog) 0.96(537.0-pizza) 0.93(590.0-donut) 0.88(542.0-cake) 0.79(3543.0-chair) 0.83(576.0-couch) 0.76(882.0-potted plant) 0.95(379.0-bed) 0.72(1920.0-dining table) 0.96(338.0-toilet) 0.99(471.0-tv) 0.97(429.0-laptop) 0.97(196.0-mouse) 0.76(441.0-remote) 0.99(253.0-keyboard) 0.87(602.0-cell phone) 0.98(129.0-microwave) 0.90(334.0-oven) 0.67(3.0-toaster) 0.84(491.0-sink) 0.97(232.0-refrigerator) 0.35(1819.0-book) 0.99(600.0-clock) 0.91(611.0-vase) 0.77(149.0-scissors) 0.94(442.0-teddy bear) 0.00(0.0-hair drier) 0.51(160.0-toothbrush)
2021-10-31 19:23:00,057 - mmdet - INFO - pseudo ig: 0.64(87526.0-person) 0.43(2089.0-bicycle) 0.50(15177.0-car) 0.57(2864.0-motorcycle) 0.70(1524.0-airplane) 0.66(1815.0-bus) 0.62(1487.0-train) 0.36(3530.0-truck) 0.35(3609.0-boat) 0.39(4879.0-traffic light) 0.71(642.0-fire hydrant) 0.62(652.0-stop sign) 0.36(467.0-parking meter) 0.22(3319.0-bench) 0.33(3604.0-bird) 0.76(1606.0-cat) 0.67(1710.0-dog) 0.62(2076.0-horse) 0.52(3801.0-sheep) 0.52(2989.0-cow) 0.76(1881.0-elephant) 0.66(470.0-bear) 0.78(1801.0-zebra) 0.87(1600.0-giraffe) 0.23(2948.0-backpack) 0.41(4204.0-umbrella) 0.21(4339.0-handbag) 0.44(1854.0-tie) 0.41(1876.0-suitcase) 0.63(870.0-frisbee) 0.35(2240.0-skis) 0.32(834.0-snowboard) 0.40(2170.0-sports ball) 0.50(2607.0-kite) 0.38(1189.0-baseball bat) 0.44(1200.0-baseball glove) 0.56(1900.0-skateboard) 0.44(2266.0-surfboard) 0.66(1563.0-tennis racket) 0.43(8056.0-bottle) 0.45(2871.0-wine glass) 0.36(8270.0-cup) 0.29(1920.0-fork) 0.23(2866.0-knife) 0.19(2412.0-spoon) 0.38(5835.0-bowl) 0.28(3776.0-banana) 0.21(2148.0-apple) 0.35(1600.0-sandwich) 0.27(2563.0-orange) 0.39(2567.0-broccoli) 0.24(2783.0-carrot) 0.33(928.0-hot dog) 0.56(2008.0-pizza) 0.41(2368.0-donut) 0.37(2099.0-cake) 0.32(13561.0-chair) 0.39(2126.0-couch) 0.36(3230.0-potted plant) 0.51(1314.0-bed) 0.36(5294.0-dining table) 0.71(1384.0-toilet) 0.62(1927.0-tv) 0.59(1781.0-laptop) 0.46(801.0-mouse) 0.34(1895.0-remote) 0.46(966.0-keyboard) 0.29(2282.0-cell phone) 0.58(526.0-microwave) 0.37(1236.0-oven) 0.00(0.0-toaster) 0.45(1922.0-sink) 0.48(846.0-refrigerator) 0.19(7144.0-book) 0.62(2076.0-clock) 0.38(2636.0-vase) 0.22(491.0-scissors) 0.48(1694.0-teddy bear) 0.00(0.0-hair drier) 0.20(594.0-toothbrush)
2021-10-31 19:23:00,057 - mmdet - INFO - pseudo gt: 114273.0 3090.0 19034.0 3875.0 2178.0 2752.0 1967.0 4208.0 4491.0 5570.0 820.0 839.0 524.0 4370.0 4563.0 2032.0 2405.0 2760.0 4417.0 3470.0 2404.0 590.0 2475.0 2243.0 3778.0 4951.0 5388.0 2870.0 2841.0 1174.0 2951.0 1203.0 2629.0 3812.0 1355.0 1594.0 2603.0 2502.0 2181.0 10643.0 3714.0 9131.0 2418.0 3606.0 2689.0 6286.0 4087.0 2483.0 1947.0 2707.0 3343.0 3234.0 1262.0 2612.0 3056.0 2755.0 17255.0 2543.0 3999.0 1801.0 7111.0 1877.0 2576.0 2182.0 971.0 2459.0 1243.0 2832.0 747.0 1433.0 106.0 2438.0 1194.0 10263.0 2856.0 2940.0 568.0 1926.0 72.0 799.0
2021-10-31 19:23:00,057 - mmdet - INFO - pseudo mining: 23346.0 81.0 2346.0 267.0 297.0 502.0 234.0 30.0 118.0 593.0 300.0 419.0 18.0 22.0 143.0 285.0 229.0 370.0 795.0 409.0 803.0 142.0 945.0 979.0 2.0 284.0 3.0 182.0 81.0 385.0 46.0 3.0 738.0 745.0 90.0 336.0 361.0 87.0 529.0 811.0 234.0 712.0 11.0 18.0 4.0 377.0 50.0 16.0 32.0 36.0 110.0 48.0 2.0 331.0 337.0 40.0 115.0 13.0 151.0 31.0 86.0 611.0 681.0 332.0 264.0 71.0 117.0 129.0 123.0 39.0 0.0 299.0 66.0 5.0 1375.0 235.0 1.0 128.0 0.0 1.0
2021-10-31 19:24:31,086 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 19:24:31,087 - mmdet - INFO - Iter [13000/40000]	lr: 2.000e-02, eta: 14:26:20, time: 1.704, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0499, loss_cls: 0.2278, acc: 92.3260, loss_bbox: 0.2631, loss_rpn_cls_unlabeled: 0.0904, loss_rpn_bbox_unlabeled: 0.0985, loss_cls_unlabeled: 0.1909, acc_unlabeled: 92.0063, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.5002, pseudo_num_ig: 5.5999, pseudo_num_mining: 0.8680, pseudo_num(acc): 0.8796, pseudo_num ig(acc): 0.4824, loss: 1.3203
2021-10-31 19:25:55,640 - mmdet - INFO - Iter [13050/40000]	lr: 2.000e-02, eta: 14:27:25, time: 3.481, data_time: 1.820, memory: 26484, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0512, loss_cls: 0.2288, acc: 92.3744, loss_bbox: 0.2643, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1815, acc_unlabeled: 92.1962, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1819, pseudo_num: 1.5002, pseudo_num_ig: 5.5999, pseudo_num_mining: 0.8686, pseudo_num(acc): 0.8797, pseudo_num ig(acc): 0.4824, loss: 1.3003
2021-10-31 19:27:21,203 - mmdet - INFO - Iter [13100/40000]	lr: 2.000e-02, eta: 14:25:26, time: 1.713, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0515, loss_cls: 0.2301, acc: 92.1882, loss_bbox: 0.2666, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1838, acc_unlabeled: 92.1689, loss_bbox_unlabeled: 0.1765, losses_cls_ig_unlabeled: 0.1816, pseudo_num: 1.5002, pseudo_num_ig: 5.5998, pseudo_num_mining: 0.8693, pseudo_num(acc): 0.8797, pseudo_num ig(acc): 0.4824, loss: 1.3143
2021-10-31 19:28:47,905 - mmdet - INFO - Iter [13150/40000]	lr: 2.000e-02, eta: 14:23:29, time: 1.733, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0517, loss_cls: 0.2375, acc: 92.0663, loss_bbox: 0.2698, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.0976, loss_cls_unlabeled: 0.1900, acc_unlabeled: 92.0741, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1789, pseudo_num: 1.5003, pseudo_num_ig: 5.6000, pseudo_num_mining: 0.8698, pseudo_num(acc): 0.8797, pseudo_num ig(acc): 0.4824, loss: 1.3399
2021-10-31 19:30:13,744 - mmdet - INFO - Iter [13200/40000]	lr: 2.000e-02, eta: 14:21:31, time: 1.716, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0495, loss_cls: 0.2305, acc: 92.2078, loss_bbox: 0.2683, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1967, acc_unlabeled: 91.7211, loss_bbox_unlabeled: 0.1867, losses_cls_ig_unlabeled: 0.1923, pseudo_num: 1.5005, pseudo_num_ig: 5.6014, pseudo_num_mining: 0.8706, pseudo_num(acc): 0.8797, pseudo_num ig(acc): 0.4824, loss: 1.3533
2021-10-31 19:31:39,567 - mmdet - INFO - Iter [13250/40000]	lr: 2.000e-02, eta: 14:19:33, time: 1.715, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0490, loss_cls: 0.2296, acc: 92.2982, loss_bbox: 0.2620, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1910, acc_unlabeled: 91.9817, loss_bbox_unlabeled: 0.1890, losses_cls_ig_unlabeled: 0.1830, pseudo_num: 1.5008, pseudo_num_ig: 5.6018, pseudo_num_mining: 0.8713, pseudo_num(acc): 0.8798, pseudo_num ig(acc): 0.4825, loss: 1.3202
2021-10-31 19:33:03,500 - mmdet - INFO - Iter [13300/40000]	lr: 2.000e-02, eta: 14:17:32, time: 1.680, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0511, loss_cls: 0.2317, acc: 92.2456, loss_bbox: 0.2690, loss_rpn_cls_unlabeled: 0.0898, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1894, acc_unlabeled: 91.9271, loss_bbox_unlabeled: 0.1806, losses_cls_ig_unlabeled: 0.1810, pseudo_num: 1.5009, pseudo_num_ig: 5.6027, pseudo_num_mining: 0.8722, pseudo_num(acc): 0.8798, pseudo_num ig(acc): 0.4825, loss: 1.3290
2021-10-31 19:34:28,907 - mmdet - INFO - Iter [13350/40000]	lr: 2.000e-02, eta: 14:15:33, time: 1.707, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0505, loss_cls: 0.2291, acc: 92.4187, loss_bbox: 0.2568, loss_rpn_cls_unlabeled: 0.0959, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1904, acc_unlabeled: 91.9746, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1872, pseudo_num: 1.5008, pseudo_num_ig: 5.6033, pseudo_num_mining: 0.8730, pseudo_num(acc): 0.8799, pseudo_num ig(acc): 0.4826, loss: 1.3239
2021-10-31 19:37:14,132 - mmdet - INFO - Iter [13400/40000]	lr: 2.000e-02, eta: 14:16:14, time: 3.308, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0498, loss_cls: 0.2293, acc: 92.3680, loss_bbox: 0.2622, loss_rpn_cls_unlabeled: 0.0931, loss_rpn_bbox_unlabeled: 0.0989, loss_cls_unlabeled: 0.1904, acc_unlabeled: 91.9904, loss_bbox_unlabeled: 0.1797, losses_cls_ig_unlabeled: 0.1785, pseudo_num: 1.5007, pseudo_num_ig: 5.6043, pseudo_num_mining: 0.8738, pseudo_num(acc): 0.8799, pseudo_num ig(acc): 0.4826, loss: 1.3180
2021-10-31 19:38:39,575 - mmdet - INFO - Iter [13450/40000]	lr: 2.000e-02, eta: 14:14:15, time: 1.705, data_time: 0.023, memory: 26484, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0502, loss_cls: 0.2324, acc: 92.1868, loss_bbox: 0.2683, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1844, acc_unlabeled: 92.4396, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1729, pseudo_num: 1.5008, pseudo_num_ig: 5.6054, pseudo_num_mining: 0.8747, pseudo_num(acc): 0.8799, pseudo_num ig(acc): 0.4826, loss: 1.3031
2021-10-31 19:40:02,853 - mmdet - INFO - pseudo pos: 0.98(25399.0-person) 0.94(592.0-bicycle) 0.94(4263.0-car) 0.98(761.0-motorcycle) 1.00(426.0-airplane) 1.00(498.0-bus) 0.99(492.0-train) 0.76(996.0-truck) 0.76(982.0-boat) 0.92(1331.0-traffic light) 0.99(157.0-fire hydrant) 1.00(170.0-stop sign) 0.95(110.0-parking meter) 0.74(957.0-bench) 0.92(931.0-bird) 0.98(453.0-cat) 0.98(476.0-dog) 0.99(632.0-horse) 0.94(933.0-sheep) 0.95(706.0-cow) 1.00(482.0-elephant) 0.99(155.0-bear) 0.99(496.0-zebra) 0.99(506.0-giraffe) 0.57(782.0-backpack) 0.82(1110.0-umbrella) 0.54(1072.0-handbag) 0.93(499.0-tie) 0.80(532.0-suitcase) 1.00(223.0-frisbee) 0.73(615.0-skis) 0.79(219.0-snowboard) 0.98(567.0-sports ball) 0.91(720.0-kite) 0.89(304.0-baseball bat) 0.96(306.0-baseball glove) 0.98(552.0-skateboard) 0.90(654.0-surfboard) 0.99(422.0-tennis racket) 0.88(2182.0-bottle) 0.96(703.0-wine glass) 0.90(2167.0-cup) 0.80(446.0-fork) 0.53(801.0-knife) 0.52(587.0-spoon) 0.85(1490.0-bowl) 0.71(909.0-banana) 0.56(504.0-apple) 0.85(491.0-sandwich) 0.69(676.0-orange) 0.71(702.0-broccoli) 0.56(717.0-carrot) 0.77(265.0-hot dog) 0.96(558.0-pizza) 0.93(624.0-donut) 0.88(559.0-cake) 0.79(3689.0-chair) 0.83(591.0-couch) 0.76(911.0-potted plant) 0.95(396.0-bed) 0.72(1996.0-dining table) 0.96(354.0-toilet) 0.99(482.0-tv) 0.97(443.0-laptop) 0.98(201.0-mouse) 0.76(457.0-remote) 0.99(256.0-keyboard) 0.87(618.0-cell phone) 0.98(129.0-microwave) 0.91(339.0-oven) 0.50(4.0-toaster) 0.84(515.0-sink) 0.97(240.0-refrigerator) 0.35(1886.0-book) 0.99(621.0-clock) 0.92(630.0-vase) 0.77(151.0-scissors) 0.94(452.0-teddy bear) 0.00(0.0-hair drier) 0.51(164.0-toothbrush)
2021-10-31 19:40:02,854 - mmdet - INFO - pseudo ig: 0.64(91216.0-person) 0.43(2199.0-bicycle) 0.50(15759.0-car) 0.57(2972.0-motorcycle) 0.70(1600.0-airplane) 0.67(1884.0-bus) 0.62(1533.0-train) 0.36(3679.0-truck) 0.35(3757.0-boat) 0.40(5066.0-traffic light) 0.71(664.0-fire hydrant) 0.63(675.0-stop sign) 0.36(476.0-parking meter) 0.22(3463.0-bench) 0.34(3737.0-bird) 0.76(1659.0-cat) 0.67(1773.0-dog) 0.62(2192.0-horse) 0.52(3908.0-sheep) 0.52(3090.0-cow) 0.76(1956.0-elephant) 0.67(484.0-bear) 0.78(1862.0-zebra) 0.87(1661.0-giraffe) 0.23(3077.0-backpack) 0.42(4387.0-umbrella) 0.22(4505.0-handbag) 0.44(1916.0-tie) 0.41(1957.0-suitcase) 0.63(900.0-frisbee) 0.36(2338.0-skis) 0.32(898.0-snowboard) 0.40(2242.0-sports ball) 0.50(2752.0-kite) 0.39(1238.0-baseball bat) 0.44(1253.0-baseball glove) 0.57(1963.0-skateboard) 0.44(2328.0-surfboard) 0.66(1625.0-tennis racket) 0.43(8407.0-bottle) 0.46(2988.0-wine glass) 0.37(8610.0-cup) 0.29(2019.0-fork) 0.23(2957.0-knife) 0.19(2494.0-spoon) 0.38(6074.0-bowl) 0.28(3869.0-banana) 0.21(2189.0-apple) 0.35(1656.0-sandwich) 0.27(2660.0-orange) 0.39(2716.0-broccoli) 0.24(2912.0-carrot) 0.33(964.0-hot dog) 0.56(2086.0-pizza) 0.42(2494.0-donut) 0.37(2158.0-cake) 0.32(14012.0-chair) 0.39(2215.0-couch) 0.36(3343.0-potted plant) 0.52(1367.0-bed) 0.36(5505.0-dining table) 0.71(1436.0-toilet) 0.62(1994.0-tv) 0.60(1842.0-laptop) 0.47(829.0-mouse) 0.34(1983.0-remote) 0.46(1006.0-keyboard) 0.30(2363.0-cell phone) 0.58(544.0-microwave) 0.37(1281.0-oven) 0.00(0.0-toaster) 0.45(1999.0-sink) 0.47(889.0-refrigerator) 0.19(7404.0-book) 0.62(2130.0-clock) 0.39(2718.0-vase) 0.22(503.0-scissors) 0.48(1749.0-teddy bear) 0.00(0.0-hair drier) 0.19(617.0-toothbrush)
2021-10-31 19:40:02,854 - mmdet - INFO - pseudo gt: 118826.0 3214.0 19826.0 4027.0 2267.0 2855.0 2032.0 4370.0 4656.0 5834.0 856.0 887.0 539.0 4553.0 4770.0 2092.0 2515.0 2902.0 4561.0 3576.0 2483.0 608.0 2578.0 2334.0 3934.0 5166.0 5600.0 2988.0 2939.0 1227.0 3080.0 1273.0 2702.0 4061.0 1413.0 1659.0 2704.0 2578.0 2251.0 11052.0 3896.0 9534.0 2538.0 3761.0 2803.0 6537.0 4193.0 2524.0 2026.0 2819.0 3516.0 3365.0 1351.0 2707.0 3231.0 2862.0 17853.0 2628.0 4140.0 1874.0 7368.0 1948.0 2653.0 2259.0 1008.0 2536.0 1284.0 2933.0 767.0 1486.0 110.0 2535.0 1254.0 10585.0 2960.0 3032.0 580.0 2000.0 80.0 824.0
2021-10-31 19:40:02,854 - mmdet - INFO - pseudo mining: 24497.0 89.0 2448.0 282.0 324.0 521.0 245.0 33.0 123.0 625.0 316.0 438.0 19.0 23.0 150.0 299.0 240.0 399.0 829.0 422.0 843.0 148.0 988.0 1030.0 2.0 303.0 6.0 190.0 86.0 402.0 52.0 3.0 770.0 794.0 96.0 359.0 374.0 91.0 550.0 845.0 255.0 748.0 12.0 18.0 4.0 392.0 50.0 16.0 34.0 36.0 118.0 51.0 2.0 343.0 363.0 42.0 117.0 13.0 157.0 33.0 98.0 641.0 715.0 354.0 273.0 77.0 126.0 140.0 130.0 43.0 0.0 316.0 72.0 7.0 1413.0 240.0 1.0 137.0 0.0 1.0
2021-10-31 19:40:04,710 - mmdet - INFO - Iter [13500/40000]	lr: 2.000e-02, eta: 14:12:17, time: 1.706, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0508, loss_cls: 0.2255, acc: 92.3700, loss_bbox: 0.2616, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1918, acc_unlabeled: 92.1541, loss_bbox_unlabeled: 0.1870, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.5008, pseudo_num_ig: 5.6051, pseudo_num_mining: 0.8753, pseudo_num(acc): 0.8799, pseudo_num ig(acc): 0.4826, loss: 1.3162
2021-10-31 19:41:30,716 - mmdet - INFO - Iter [13550/40000]	lr: 2.000e-02, eta: 14:10:20, time: 1.720, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0500, loss_cls: 0.2306, acc: 92.1783, loss_bbox: 0.2719, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1884, acc_unlabeled: 92.1160, loss_bbox_unlabeled: 0.1800, losses_cls_ig_unlabeled: 0.1829, pseudo_num: 1.5008, pseudo_num_ig: 5.6057, pseudo_num_mining: 0.8763, pseudo_num(acc): 0.8800, pseudo_num ig(acc): 0.4827, loss: 1.3254
2021-10-31 19:42:56,089 - mmdet - INFO - Iter [13600/40000]	lr: 2.000e-02, eta: 14:08:22, time: 1.708, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0515, loss_cls: 0.2325, acc: 92.1549, loss_bbox: 0.2660, loss_rpn_cls_unlabeled: 0.0895, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1932, acc_unlabeled: 91.8738, loss_bbox_unlabeled: 0.1817, losses_cls_ig_unlabeled: 0.1830, pseudo_num: 1.5006, pseudo_num_ig: 5.6065, pseudo_num_mining: 0.8771, pseudo_num(acc): 0.8800, pseudo_num ig(acc): 0.4828, loss: 1.3324
2021-10-31 19:44:21,844 - mmdet - INFO - Iter [13650/40000]	lr: 2.000e-02, eta: 14:06:25, time: 1.714, data_time: 0.024, memory: 26484, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0476, loss_cls: 0.2288, acc: 92.2356, loss_bbox: 0.2655, loss_rpn_cls_unlabeled: 0.0845, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1795, acc_unlabeled: 92.2620, loss_bbox_unlabeled: 0.1760, losses_cls_ig_unlabeled: 0.1755, pseudo_num: 1.5006, pseudo_num_ig: 5.6071, pseudo_num_mining: 0.8778, pseudo_num(acc): 0.8800, pseudo_num ig(acc): 0.4828, loss: 1.2837
2021-10-31 19:45:48,398 - mmdet - INFO - Iter [13700/40000]	lr: 2.000e-02, eta: 14:04:29, time: 1.724, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0503, loss_cls: 0.2333, acc: 92.1328, loss_bbox: 0.2685, loss_rpn_cls_unlabeled: 0.0915, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1890, acc_unlabeled: 92.0819, loss_bbox_unlabeled: 0.1805, losses_cls_ig_unlabeled: 0.1834, pseudo_num: 1.5005, pseudo_num_ig: 5.6079, pseudo_num_mining: 0.8787, pseudo_num(acc): 0.8800, pseudo_num ig(acc): 0.4828, loss: 1.3312
2021-10-31 19:47:14,134 - mmdet - INFO - Iter [13750/40000]	lr: 2.000e-02, eta: 14:02:33, time: 1.723, data_time: 0.035, memory: 26484, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0530, loss_cls: 0.2347, acc: 92.0735, loss_bbox: 0.2682, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1831, acc_unlabeled: 92.0537, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1772, pseudo_num: 1.5003, pseudo_num_ig: 5.6082, pseudo_num_mining: 0.8794, pseudo_num(acc): 0.8800, pseudo_num ig(acc): 0.4829, loss: 1.3111
2021-10-31 19:48:41,547 - mmdet - INFO - Iter [13800/40000]	lr: 2.000e-02, eta: 14:00:40, time: 1.745, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0496, loss_cls: 0.2312, acc: 92.2252, loss_bbox: 0.2710, loss_rpn_cls_unlabeled: 0.0891, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1892, acc_unlabeled: 92.0342, loss_bbox_unlabeled: 0.1802, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.5002, pseudo_num_ig: 5.6091, pseudo_num_mining: 0.8802, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4829, loss: 1.3232
2021-10-31 19:50:08,301 - mmdet - INFO - Iter [13850/40000]	lr: 2.000e-02, eta: 13:58:45, time: 1.731, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0521, loss_cls: 0.2251, acc: 92.4373, loss_bbox: 0.2626, loss_rpn_cls_unlabeled: 0.0960, loss_rpn_bbox_unlabeled: 0.1011, loss_cls_unlabeled: 0.1998, acc_unlabeled: 91.6996, loss_bbox_unlabeled: 0.1840, losses_cls_ig_unlabeled: 0.1904, pseudo_num: 1.5001, pseudo_num_ig: 5.6104, pseudo_num_mining: 0.8810, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4829, loss: 1.3491
2021-10-31 19:51:33,286 - mmdet - INFO - Iter [13900/40000]	lr: 2.000e-02, eta: 13:56:48, time: 1.702, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0508, loss_cls: 0.2344, acc: 92.1853, loss_bbox: 0.2701, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1822, acc_unlabeled: 92.2421, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1761, pseudo_num: 1.5003, pseudo_num_ig: 5.6113, pseudo_num_mining: 0.8820, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4829, loss: 1.3153
2021-10-31 19:52:58,147 - mmdet - INFO - Iter [13950/40000]	lr: 2.000e-02, eta: 13:54:51, time: 1.702, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0524, loss_cls: 0.2315, acc: 92.2140, loss_bbox: 0.2682, loss_rpn_cls_unlabeled: 0.0895, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1943, acc_unlabeled: 92.1504, loss_bbox_unlabeled: 0.1881, losses_cls_ig_unlabeled: 0.1790, pseudo_num: 1.5004, pseudo_num_ig: 5.6115, pseudo_num_mining: 0.8827, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4829, loss: 1.3350
2021-10-31 19:54:22,119 - mmdet - INFO - pseudo pos: 0.98(26299.0-person) 0.93(608.0-bicycle) 0.94(4414.0-car) 0.98(798.0-motorcycle) 1.00(442.0-airplane) 1.00(520.0-bus) 0.99(509.0-train) 0.77(1036.0-truck) 0.77(1033.0-boat) 0.92(1370.0-traffic light) 0.99(159.0-fire hydrant) 1.00(174.0-stop sign) 0.95(113.0-parking meter) 0.74(990.0-bench) 0.92(948.0-bird) 0.98(472.0-cat) 0.98(500.0-dog) 0.99(649.0-horse) 0.94(971.0-sheep) 0.95(738.0-cow) 1.00(492.0-elephant) 0.99(161.0-bear) 0.99(509.0-zebra) 0.99(523.0-giraffe) 0.57(814.0-backpack) 0.82(1145.0-umbrella) 0.54(1106.0-handbag) 0.93(524.0-tie) 0.80(561.0-suitcase) 1.00(228.0-frisbee) 0.73(629.0-skis) 0.78(230.0-snowboard) 0.98(592.0-sports ball) 0.91(746.0-kite) 0.89(318.0-baseball bat) 0.96(315.0-baseball glove) 0.98(570.0-skateboard) 0.91(677.0-surfboard) 0.99(441.0-tennis racket) 0.88(2256.0-bottle) 0.95(732.0-wine glass) 0.90(2260.0-cup) 0.80(470.0-fork) 0.54(855.0-knife) 0.52(612.0-spoon) 0.85(1535.0-bowl) 0.71(951.0-banana) 0.56(523.0-apple) 0.84(502.0-sandwich) 0.69(685.0-orange) 0.71(730.0-broccoli) 0.56(764.0-carrot) 0.76(275.0-hot dog) 0.96(601.0-pizza) 0.93(649.0-donut) 0.88(583.0-cake) 0.79(3820.0-chair) 0.83(615.0-couch) 0.76(940.0-potted plant) 0.95(414.0-bed) 0.73(2076.0-dining table) 0.96(370.0-toilet) 0.98(500.0-tv) 0.97(467.0-laptop) 0.98(207.0-mouse) 0.77(470.0-remote) 0.99(263.0-keyboard) 0.87(649.0-cell phone) 0.98(135.0-microwave) 0.90(362.0-oven) 0.50(6.0-toaster) 0.84(539.0-sink) 0.98(257.0-refrigerator) 0.35(1950.0-book) 0.99(651.0-clock) 0.92(660.0-vase) 0.77(153.0-scissors) 0.94(465.0-teddy bear) 0.00(0.0-hair drier) 0.50(173.0-toothbrush)
2021-10-31 19:54:22,119 - mmdet - INFO - pseudo ig: 0.64(94926.0-person) 0.43(2277.0-bicycle) 0.50(16358.0-car) 0.57(3107.0-motorcycle) 0.70(1646.0-airplane) 0.67(1978.0-bus) 0.62(1579.0-train) 0.36(3827.0-truck) 0.36(3889.0-boat) 0.40(5262.0-traffic light) 0.71(682.0-fire hydrant) 0.63(697.0-stop sign) 0.36(493.0-parking meter) 0.22(3585.0-bench) 0.34(3851.0-bird) 0.76(1721.0-cat) 0.68(1844.0-dog) 0.62(2284.0-horse) 0.52(4028.0-sheep) 0.52(3225.0-cow) 0.76(2057.0-elephant) 0.67(495.0-bear) 0.79(1925.0-zebra) 0.88(1713.0-giraffe) 0.23(3189.0-backpack) 0.41(4593.0-umbrella) 0.22(4672.0-handbag) 0.44(1974.0-tie) 0.41(2063.0-suitcase) 0.63(927.0-frisbee) 0.36(2389.0-skis) 0.32(926.0-snowboard) 0.40(2327.0-sports ball) 0.50(2831.0-kite) 0.39(1278.0-baseball bat) 0.45(1307.0-baseball glove) 0.57(2014.0-skateboard) 0.44(2401.0-surfboard) 0.66(1685.0-tennis racket) 0.43(8795.0-bottle) 0.46(3109.0-wine glass) 0.37(9003.0-cup) 0.29(2094.0-fork) 0.23(3106.0-knife) 0.19(2608.0-spoon) 0.38(6332.0-bowl) 0.28(4067.0-banana) 0.21(2281.0-apple) 0.35(1732.0-sandwich) 0.27(2720.0-orange) 0.39(2865.0-broccoli) 0.24(3084.0-carrot) 0.33(1009.0-hot dog) 0.55(2180.0-pizza) 0.42(2611.0-donut) 0.37(2269.0-cake) 0.32(14514.0-chair) 0.39(2313.0-couch) 0.36(3452.0-potted plant) 0.52(1423.0-bed) 0.36(5744.0-dining table) 0.71(1479.0-toilet) 0.61(2069.0-tv) 0.60(1911.0-laptop) 0.47(860.0-mouse) 0.34(2071.0-remote) 0.46(1047.0-keyboard) 0.30(2436.0-cell phone) 0.58(573.0-microwave) 0.37(1345.0-oven) 0.00(0.0-toaster) 0.45(2099.0-sink) 0.47(940.0-refrigerator) 0.19(7650.0-book) 0.62(2210.0-clock) 0.38(2818.0-vase) 0.23(527.0-scissors) 0.48(1825.0-teddy bear) 0.00(0.0-hair drier) 0.19(637.0-toothbrush)
2021-10-31 19:54:22,120 - mmdet - INFO - pseudo gt: 123247.0 3300.0 20539.0 4207.0 2350.0 2981.0 2109.0 4555.0 4855.0 6079.0 880.0 916.0 555.0 4686.0 4935.0 2174.0 2634.0 3016.0 4726.0 3725.0 2601.0 623.0 2666.0 2418.0 4072.0 5329.0 5780.0 3126.0 3079.0 1267.0 3163.0 1312.0 2819.0 4177.0 1467.0 1733.0 2796.0 2676.0 2338.0 11534.0 4023.0 9950.0 2635.0 3911.0 2936.0 6782.0 4344.0 2622.0 2104.0 2899.0 3697.0 3567.0 1413.0 2828.0 3382.0 2982.0 18581.0 2736.0 4255.0 1949.0 7649.0 2000.0 2754.0 2360.0 1035.0 2640.0 1322.0 3026.0 797.0 1549.0 113.0 2633.0 1305.0 11032.0 3079.0 3138.0 603.0 2101.0 81.0 853.0
2021-10-31 19:54:22,120 - mmdet - INFO - pseudo mining: 25640.0 90.0 2548.0 298.0 341.0 561.0 257.0 34.0 126.0 653.0 328.0 452.0 20.0 23.0 154.0 310.0 255.0 421.0 862.0 441.0 910.0 155.0 1039.0 1073.0 3.0 328.0 10.0 196.0 88.0 412.0 53.0 3.0 797.0 817.0 102.0 374.0 383.0 103.0 578.0 880.0 276.0 799.0 12.0 20.0 4.0 417.0 52.0 16.0 34.0 38.0 131.0 53.0 3.0 364.0 396.0 47.0 126.0 16.0 162.0 35.0 105.0 670.0 740.0 371.0 287.0 81.0 134.0 142.0 139.0 49.0 0.0 330.0 79.0 7.0 1479.0 247.0 1.0 149.0 0.0 1.0
2021-10-31 19:55:20,010 - mmdet - INFO - Evaluating bbox...
2021-10-31 19:56:31,654 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.449 | bicycle      | 0.208 | car            | 0.359 |
| motorcycle    | 0.294 | airplane     | 0.493 | bus            | 0.521 |
| train         | 0.470 | truck        | 0.231 | boat           | 0.174 |
| traffic light | 0.215 | fire hydrant | 0.493 | stop sign      | 0.487 |
| parking meter | 0.388 | bench        | 0.148 | bird           | 0.239 |
| cat           | 0.463 | dog          | 0.424 | horse          | 0.427 |
| sheep         | 0.381 | cow          | 0.390 | elephant       | 0.497 |
| bear          | 0.528 | zebra        | 0.550 | giraffe        | 0.558 |
| backpack      | 0.082 | umbrella     | 0.236 | handbag        | 0.068 |
| tie           | 0.187 | suitcase     | 0.176 | frisbee        | 0.483 |
| skis          | 0.118 | snowboard    | 0.149 | sports ball    | 0.379 |
| kite          | 0.290 | baseball bat | 0.180 | baseball glove | 0.256 |
| skateboard    | 0.338 | surfboard    | 0.224 | tennis racket  | 0.349 |
| bottle        | 0.289 | wine glass   | 0.257 | cup            | 0.314 |
| fork          | 0.148 | knife        | 0.080 | spoon          | 0.071 |
| bowl          | 0.330 | banana       | 0.142 | apple          | 0.084 |
| sandwich      | 0.226 | orange       | 0.238 | broccoli       | 0.172 |
| carrot        | 0.105 | hot dog      | 0.140 | pizza          | 0.375 |
| donut         | 0.329 | cake         | 0.207 | chair          | 0.158 |
| couch         | 0.283 | potted plant | 0.168 | bed            | 0.290 |
| dining table  | 0.185 | toilet       | 0.434 | tv             | 0.437 |
| laptop        | 0.438 | mouse        | 0.457 | remote         | 0.160 |
| keyboard      | 0.364 | cell phone   | 0.248 | microwave      | 0.394 |
| oven          | 0.216 | toaster      | 0.213 | sink           | 0.256 |
| refrigerator  | 0.355 | book         | 0.040 | clock          | 0.419 |
| vase          | 0.284 | scissors     | 0.195 | teddy bear     | 0.315 |
| hair drier    | 0.000 | toothbrush   | 0.050 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 19:57:27,808 - mmdet - INFO - Evaluating bbox...
2021-10-31 19:58:40,085 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.471 | bicycle      | 0.231 | car            | 0.381 |
| motorcycle    | 0.338 | airplane     | 0.537 | bus            | 0.563 |
| train         | 0.505 | truck        | 0.255 | boat           | 0.191 |
| traffic light | 0.241 | fire hydrant | 0.558 | stop sign      | 0.586 |
| parking meter | 0.437 | bench        | 0.170 | bird           | 0.275 |
| cat           | 0.520 | dog          | 0.475 | horse          | 0.470 |
| sheep         | 0.399 | cow          | 0.464 | elephant       | 0.531 |
| bear          | 0.593 | zebra        | 0.571 | giraffe        | 0.578 |
| backpack      | 0.100 | umbrella     | 0.279 | handbag        | 0.093 |
| tie           | 0.224 | suitcase     | 0.218 | frisbee        | 0.546 |
| skis          | 0.154 | snowboard    | 0.226 | sports ball    | 0.389 |
| kite          | 0.318 | baseball bat | 0.191 | baseball glove | 0.294 |
| skateboard    | 0.385 | surfboard    | 0.271 | tennis racket  | 0.369 |
| bottle        | 0.321 | wine glass   | 0.278 | cup            | 0.340 |
| fork          | 0.184 | knife        | 0.093 | spoon          | 0.090 |
| bowl          | 0.355 | banana       | 0.172 | apple          | 0.112 |
| sandwich      | 0.250 | orange       | 0.259 | broccoli       | 0.191 |
| carrot        | 0.117 | hot dog      | 0.168 | pizza          | 0.408 |
| donut         | 0.340 | cake         | 0.248 | chair          | 0.184 |
| couch         | 0.317 | potted plant | 0.181 | bed            | 0.339 |
| dining table  | 0.190 | toilet       | 0.506 | tv             | 0.479 |
| laptop        | 0.492 | mouse        | 0.512 | remote         | 0.193 |
| keyboard      | 0.398 | cell phone   | 0.279 | microwave      | 0.442 |
| oven          | 0.246 | toaster      | 0.281 | sink           | 0.282 |
| refrigerator  | 0.398 | book         | 0.065 | clock          | 0.438 |
| vase          | 0.318 | scissors     | 0.188 | teddy bear     | 0.330 |
| hair drier    | 0.000 | toothbrush   | 0.104 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 20:00:07,845 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 20:00:07,845 - mmdet - INFO - Iter [14000/40000]	lr: 2.000e-02, eta: 13:52:55, time: 1.715, data_time: 0.028, memory: 26484, bbox_mAP: 0.3190, bbox_mAP_50: 0.5210, bbox_mAP_75: 0.3390, bbox_mAP_s: 0.1850, bbox_mAP_m: 0.3510, bbox_mAP_l: 0.4140, bbox_mAP_copypaste: 0.319 0.521 0.339 0.185 0.351 0.414, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0497, loss_cls: 0.2292, acc: 92.2405, loss_bbox: 0.2681, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1929, acc_unlabeled: 92.0342, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1797, pseudo_num: 1.5006, pseudo_num_ig: 5.6118, pseudo_num_mining: 0.8834, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4830, loss: 1.3265
2021-10-31 20:01:33,113 - mmdet - INFO - Iter [14050/40000]	lr: 2.000e-02, eta: 14:01:34, time: 8.583, data_time: 6.905, memory: 26484, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0475, loss_cls: 0.2195, acc: 92.6095, loss_bbox: 0.2583, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1821, acc_unlabeled: 92.2247, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1800, pseudo_num: 1.5006, pseudo_num_ig: 5.6121, pseudo_num_mining: 0.8842, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4830, loss: 1.2775
2021-10-31 20:02:59,249 - mmdet - INFO - Iter [14100/40000]	lr: 2.000e-02, eta: 13:59:37, time: 1.723, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0508, loss_cls: 0.2322, acc: 92.1249, loss_bbox: 0.2693, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1943, acc_unlabeled: 92.1488, loss_bbox_unlabeled: 0.1877, losses_cls_ig_unlabeled: 0.1845, pseudo_num: 1.5006, pseudo_num_ig: 5.6122, pseudo_num_mining: 0.8850, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4831, loss: 1.3443
2021-10-31 20:04:24,235 - mmdet - INFO - Iter [14150/40000]	lr: 2.000e-02, eta: 13:57:37, time: 1.700, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0495, loss_cls: 0.2224, acc: 92.4575, loss_bbox: 0.2605, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1881, acc_unlabeled: 92.0530, loss_bbox_unlabeled: 0.1810, losses_cls_ig_unlabeled: 0.1866, pseudo_num: 1.5004, pseudo_num_ig: 5.6123, pseudo_num_mining: 0.8858, pseudo_num(acc): 0.8801, pseudo_num ig(acc): 0.4831, loss: 1.3093
2021-10-31 20:05:49,867 - mmdet - INFO - Iter [14200/40000]	lr: 2.000e-02, eta: 13:55:39, time: 1.713, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0502, loss_cls: 0.2236, acc: 92.3949, loss_bbox: 0.2635, loss_rpn_cls_unlabeled: 0.0929, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1883, acc_unlabeled: 92.0435, loss_bbox_unlabeled: 0.1801, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.5005, pseudo_num_ig: 5.6130, pseudo_num_mining: 0.8866, pseudo_num(acc): 0.8802, pseudo_num ig(acc): 0.4831, loss: 1.3155
2021-10-31 20:07:14,728 - mmdet - INFO - Iter [14250/40000]	lr: 2.000e-02, eta: 13:53:39, time: 1.694, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0500, loss_cls: 0.2308, acc: 92.2302, loss_bbox: 0.2707, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1812, acc_unlabeled: 92.2961, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.5005, pseudo_num_ig: 5.6136, pseudo_num_mining: 0.8874, pseudo_num(acc): 0.8802, pseudo_num ig(acc): 0.4831, loss: 1.3080
2021-10-31 20:08:40,858 - mmdet - INFO - Iter [14300/40000]	lr: 2.000e-02, eta: 13:51:42, time: 1.724, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0504, loss_cls: 0.2265, acc: 92.2971, loss_bbox: 0.2700, loss_rpn_cls_unlabeled: 0.0940, loss_rpn_bbox_unlabeled: 0.1006, loss_cls_unlabeled: 0.1879, acc_unlabeled: 91.9087, loss_bbox_unlabeled: 0.1838, losses_cls_ig_unlabeled: 0.1830, pseudo_num: 1.5004, pseudo_num_ig: 5.6143, pseudo_num_mining: 0.8883, pseudo_num(acc): 0.8803, pseudo_num ig(acc): 0.4832, loss: 1.3318
2021-10-31 20:10:05,016 - mmdet - INFO - Iter [14350/40000]	lr: 2.000e-02, eta: 13:49:42, time: 1.683, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0488, loss_cls: 0.2286, acc: 92.2848, loss_bbox: 0.2633, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0994, loss_cls_unlabeled: 0.1950, acc_unlabeled: 91.8770, loss_bbox_unlabeled: 0.1850, losses_cls_ig_unlabeled: 0.1847, pseudo_num: 1.5004, pseudo_num_ig: 5.6154, pseudo_num_mining: 0.8891, pseudo_num(acc): 0.8803, pseudo_num ig(acc): 0.4832, loss: 1.3262
2021-10-31 20:11:31,465 - mmdet - INFO - Iter [14400/40000]	lr: 2.000e-02, eta: 13:47:46, time: 1.727, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0518, loss_cls: 0.2285, acc: 92.2006, loss_bbox: 0.2682, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1950, acc_unlabeled: 92.1467, loss_bbox_unlabeled: 0.1821, losses_cls_ig_unlabeled: 0.1849, pseudo_num: 1.5005, pseudo_num_ig: 5.6158, pseudo_num_mining: 0.8900, pseudo_num(acc): 0.8803, pseudo_num ig(acc): 0.4833, loss: 1.3289
2021-10-31 20:12:56,308 - mmdet - INFO - Iter [14450/40000]	lr: 2.000e-02, eta: 13:45:48, time: 1.701, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0525, loss_cls: 0.2286, acc: 92.2679, loss_bbox: 0.2635, loss_rpn_cls_unlabeled: 0.0917, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1892, acc_unlabeled: 92.0292, loss_bbox_unlabeled: 0.1804, losses_cls_ig_unlabeled: 0.1914, pseudo_num: 1.5002, pseudo_num_ig: 5.6156, pseudo_num_mining: 0.8908, pseudo_num(acc): 0.8803, pseudo_num ig(acc): 0.4833, loss: 1.3322
2021-10-31 20:14:20,403 - mmdet - INFO - pseudo pos: 0.98(27178.0-person) 0.94(636.0-bicycle) 0.94(4550.0-car) 0.98(827.0-motorcycle) 1.00(470.0-airplane) 1.00(529.0-bus) 0.99(528.0-train) 0.77(1082.0-truck) 0.76(1080.0-boat) 0.92(1424.0-traffic light) 0.99(163.0-fire hydrant) 1.00(178.0-stop sign) 0.94(119.0-parking meter) 0.74(1019.0-bench) 0.92(1003.0-bird) 0.98(482.0-cat) 0.98(519.0-dog) 0.99(659.0-horse) 0.94(1032.0-sheep) 0.95(761.0-cow) 1.00(501.0-elephant) 0.99(164.0-bear) 0.99(526.0-zebra) 0.99(532.0-giraffe) 0.58(837.0-backpack) 0.83(1188.0-umbrella) 0.54(1143.0-handbag) 0.93(546.0-tie) 0.80(581.0-suitcase) 1.00(237.0-frisbee) 0.74(652.0-skis) 0.78(233.0-snowboard) 0.98(612.0-sports ball) 0.91(770.0-kite) 0.89(323.0-baseball bat) 0.96(332.0-baseball glove) 0.98(582.0-skateboard) 0.91(708.0-surfboard) 0.99(452.0-tennis racket) 0.88(2318.0-bottle) 0.95(774.0-wine glass) 0.90(2315.0-cup) 0.80(496.0-fork) 0.54(870.0-knife) 0.53(634.0-spoon) 0.85(1589.0-bowl) 0.71(974.0-banana) 0.56(553.0-apple) 0.84(519.0-sandwich) 0.69(705.0-orange) 0.71(764.0-broccoli) 0.56(801.0-carrot) 0.77(277.0-hot dog) 0.96(624.0-pizza) 0.93(656.0-donut) 0.88(599.0-cake) 0.79(3951.0-chair) 0.83(645.0-couch) 0.76(973.0-potted plant) 0.95(430.0-bed) 0.73(2132.0-dining table) 0.96(387.0-toilet) 0.98(521.0-tv) 0.97(478.0-laptop) 0.98(210.0-mouse) 0.77(489.0-remote) 0.99(273.0-keyboard) 0.87(668.0-cell phone) 0.98(140.0-microwave) 0.90(380.0-oven) 0.50(6.0-toaster) 0.83(558.0-sink) 0.98(269.0-refrigerator) 0.36(2017.0-book) 0.99(670.0-clock) 0.92(708.0-vase) 0.77(154.0-scissors) 0.94(475.0-teddy bear) 0.00(0.0-hair drier) 0.50(176.0-toothbrush)
2021-10-31 20:14:20,403 - mmdet - INFO - pseudo ig: 0.64(98174.0-person) 0.43(2355.0-bicycle) 0.50(16915.0-car) 0.57(3211.0-motorcycle) 0.70(1723.0-airplane) 0.67(2047.0-bus) 0.62(1632.0-train) 0.36(3968.0-truck) 0.36(4042.0-boat) 0.40(5415.0-traffic light) 0.71(704.0-fire hydrant) 0.64(726.0-stop sign) 0.36(505.0-parking meter) 0.22(3733.0-bench) 0.34(4073.0-bird) 0.75(1796.0-cat) 0.67(1929.0-dog) 0.63(2380.0-horse) 0.52(4199.0-sheep) 0.52(3346.0-cow) 0.77(2136.0-elephant) 0.68(519.0-bear) 0.79(1974.0-zebra) 0.88(1771.0-giraffe) 0.23(3309.0-backpack) 0.41(4753.0-umbrella) 0.22(4808.0-handbag) 0.44(2053.0-tie) 0.41(2129.0-suitcase) 0.63(960.0-frisbee) 0.35(2451.0-skis) 0.31(960.0-snowboard) 0.40(2409.0-sports ball) 0.49(2942.0-kite) 0.40(1318.0-baseball bat) 0.45(1339.0-baseball glove) 0.57(2082.0-skateboard) 0.44(2461.0-surfboard) 0.67(1737.0-tennis racket) 0.43(9077.0-bottle) 0.46(3218.0-wine glass) 0.37(9348.0-cup) 0.29(2174.0-fork) 0.23(3176.0-knife) 0.19(2701.0-spoon) 0.39(6556.0-bowl) 0.28(4212.0-banana) 0.21(2409.0-apple) 0.35(1774.0-sandwich) 0.27(2781.0-orange) 0.39(2977.0-broccoli) 0.24(3189.0-carrot) 0.34(1033.0-hot dog) 0.56(2256.0-pizza) 0.42(2656.0-donut) 0.37(2345.0-cake) 0.32(15053.0-chair) 0.39(2409.0-couch) 0.36(3595.0-potted plant) 0.52(1464.0-bed) 0.37(5949.0-dining table) 0.71(1519.0-toilet) 0.62(2153.0-tv) 0.60(1976.0-laptop) 0.47(875.0-mouse) 0.34(2180.0-remote) 0.46(1074.0-keyboard) 0.30(2505.0-cell phone) 0.57(599.0-microwave) 0.37(1380.0-oven) 1.00(1.0-toaster) 0.46(2173.0-sink) 0.47(981.0-refrigerator) 0.19(7937.0-book) 0.63(2302.0-clock) 0.38(2951.0-vase) 0.23(536.0-scissors) 0.49(1878.0-teddy bear) 0.00(0.0-hair drier) 0.19(648.0-toothbrush)
2021-10-31 20:14:20,404 - mmdet - INFO - pseudo gt: 127315.0 3429.0 21177.0 4327.0 2453.0 3066.0 2187.0 4711.0 5023.0 6290.0 901.0 955.0 577.0 4890.0 5170.0 2246.0 2740.0 3124.0 4911.0 3834.0 2688.0 654.0 2743.0 2488.0 4227.0 5512.0 6020.0 3246.0 3194.0 1303.0 3252.0 1347.0 2907.0 4292.0 1512.0 1792.0 2880.0 2773.0 2410.0 11907.0 4157.0 10300.0 2753.0 4022.0 3059.0 7061.0 4469.0 2704.0 2164.0 2985.0 3857.0 3702.0 1447.0 2956.0 3448.0 3087.0 19281.0 2848.0 4409.0 2015.0 7944.0 2071.0 2870.0 2447.0 1063.0 2759.0 1362.0 3132.0 826.0 1613.0 117.0 2732.0 1358.0 11479.0 3198.0 3271.0 619.0 2177.0 84.0 868.0
2021-10-31 20:14:20,404 - mmdet - INFO - pseudo mining: 26729.0 102.0 2634.0 310.0 367.0 586.0 272.0 36.0 130.0 677.0 337.0 471.0 20.0 24.0 164.0 326.0 271.0 455.0 890.0 456.0 957.0 164.0 1069.0 1118.0 4.0 335.0 10.0 201.0 91.0 431.0 54.0 3.0 831.0 841.0 107.0 387.0 401.0 109.0 601.0 925.0 291.0 851.0 12.0 20.0 7.0 439.0 60.0 16.0 35.0 38.0 137.0 56.0 3.0 387.0 407.0 52.0 134.0 22.0 173.0 36.0 110.0 693.0 772.0 380.0 297.0 87.0 138.0 149.0 146.0 54.0 0.0 348.0 83.0 8.0 1549.0 253.0 1.0 158.0 0.0 1.0
2021-10-31 20:14:21,924 - mmdet - INFO - Iter [14500/40000]	lr: 2.000e-02, eta: 13:43:51, time: 1.711, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0498, loss_cls: 0.2238, acc: 92.4479, loss_bbox: 0.2632, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1909, acc_unlabeled: 92.2651, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4999, pseudo_num_ig: 5.6153, pseudo_num_mining: 0.8916, pseudo_num(acc): 0.8804, pseudo_num ig(acc): 0.4834, loss: 1.3146
2021-10-31 20:15:47,778 - mmdet - INFO - Iter [14550/40000]	lr: 2.000e-02, eta: 13:41:55, time: 1.716, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0501, loss_cls: 0.2245, acc: 92.4478, loss_bbox: 0.2592, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1952, acc_unlabeled: 91.9286, loss_bbox_unlabeled: 0.1821, losses_cls_ig_unlabeled: 0.1898, pseudo_num: 1.4997, pseudo_num_ig: 5.6158, pseudo_num_mining: 0.8925, pseudo_num(acc): 0.8804, pseudo_num ig(acc): 0.4834, loss: 1.3219
2021-10-31 20:17:12,401 - mmdet - INFO - Iter [14600/40000]	lr: 2.000e-02, eta: 13:39:57, time: 1.695, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0501, loss_cls: 0.2246, acc: 92.4443, loss_bbox: 0.2586, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1839, acc_unlabeled: 92.4205, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1763, pseudo_num: 1.4996, pseudo_num_ig: 5.6162, pseudo_num_mining: 0.8932, pseudo_num(acc): 0.8804, pseudo_num ig(acc): 0.4835, loss: 1.2832
2021-10-31 20:18:36,538 - mmdet - INFO - Iter [14650/40000]	lr: 2.000e-02, eta: 13:37:58, time: 1.680, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0512, loss_cls: 0.2297, acc: 92.2013, loss_bbox: 0.2697, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1802, acc_unlabeled: 92.3199, loss_bbox_unlabeled: 0.1756, losses_cls_ig_unlabeled: 0.1776, pseudo_num: 1.4993, pseudo_num_ig: 5.6154, pseudo_num_mining: 0.8938, pseudo_num(acc): 0.8805, pseudo_num ig(acc): 0.4835, loss: 1.3016
2021-10-31 20:20:00,905 - mmdet - INFO - Iter [14700/40000]	lr: 2.000e-02, eta: 13:35:59, time: 1.685, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0510, loss_cls: 0.2328, acc: 92.2373, loss_bbox: 0.2665, loss_rpn_cls_unlabeled: 0.0937, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1883, acc_unlabeled: 92.2937, loss_bbox_unlabeled: 0.1842, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4993, pseudo_num_ig: 5.6154, pseudo_num_mining: 0.8946, pseudo_num(acc): 0.8805, pseudo_num ig(acc): 0.4836, loss: 1.3267
2021-10-31 20:21:25,253 - mmdet - INFO - Iter [14750/40000]	lr: 2.000e-02, eta: 13:34:01, time: 1.689, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0488, loss_cls: 0.2230, acc: 92.4843, loss_bbox: 0.2594, loss_rpn_cls_unlabeled: 0.0891, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1858, acc_unlabeled: 92.2437, loss_bbox_unlabeled: 0.1784, losses_cls_ig_unlabeled: 0.1782, pseudo_num: 1.4991, pseudo_num_ig: 5.6155, pseudo_num_mining: 0.8953, pseudo_num(acc): 0.8806, pseudo_num ig(acc): 0.4836, loss: 1.2919
2021-10-31 20:22:51,137 - mmdet - INFO - Iter [14800/40000]	lr: 2.000e-02, eta: 13:32:06, time: 1.720, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0473, loss_cls: 0.2144, acc: 92.8339, loss_bbox: 0.2511, loss_rpn_cls_unlabeled: 0.0950, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1878, acc_unlabeled: 92.0225, loss_bbox_unlabeled: 0.1802, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.4991, pseudo_num_ig: 5.6162, pseudo_num_mining: 0.8960, pseudo_num(acc): 0.8805, pseudo_num ig(acc): 0.4836, loss: 1.2916
2021-10-31 20:24:16,573 - mmdet - INFO - Iter [14850/40000]	lr: 2.000e-02, eta: 13:30:10, time: 1.702, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0480, loss_cls: 0.2257, acc: 92.3484, loss_bbox: 0.2665, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1844, acc_unlabeled: 92.5269, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1734, pseudo_num: 1.4991, pseudo_num_ig: 5.6165, pseudo_num_mining: 0.8968, pseudo_num(acc): 0.8805, pseudo_num ig(acc): 0.4836, loss: 1.2859
2021-10-31 20:25:41,654 - mmdet - INFO - Iter [14900/40000]	lr: 2.000e-02, eta: 13:28:14, time: 1.703, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0510, loss_cls: 0.2326, acc: 92.1543, loss_bbox: 0.2671, loss_rpn_cls_unlabeled: 0.0958, loss_rpn_bbox_unlabeled: 0.0976, loss_cls_unlabeled: 0.1934, acc_unlabeled: 91.9481, loss_bbox_unlabeled: 0.1863, losses_cls_ig_unlabeled: 0.1873, pseudo_num: 1.4991, pseudo_num_ig: 5.6162, pseudo_num_mining: 0.8975, pseudo_num(acc): 0.8806, pseudo_num ig(acc): 0.4837, loss: 1.3474
2021-10-31 20:27:07,707 - mmdet - INFO - Iter [14950/40000]	lr: 2.000e-02, eta: 13:26:20, time: 1.724, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0503, loss_cls: 0.2243, acc: 92.4011, loss_bbox: 0.2657, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1832, acc_unlabeled: 92.2605, loss_bbox_unlabeled: 0.1815, losses_cls_ig_unlabeled: 0.1774, pseudo_num: 1.4991, pseudo_num_ig: 5.6166, pseudo_num_mining: 0.8982, pseudo_num(acc): 0.8806, pseudo_num ig(acc): 0.4837, loss: 1.2962
2021-10-31 20:28:30,467 - mmdet - INFO - pseudo pos: 0.98(28064.0-person) 0.93(656.0-bicycle) 0.94(4709.0-car) 0.98(853.0-motorcycle) 1.00(485.0-airplane) 1.00(541.0-bus) 0.99(544.0-train) 0.77(1129.0-truck) 0.76(1141.0-boat) 0.92(1472.0-traffic light) 0.99(175.0-fire hydrant) 1.00(185.0-stop sign) 0.94(124.0-parking meter) 0.73(1058.0-bench) 0.92(1041.0-bird) 0.98(495.0-cat) 0.98(547.0-dog) 0.99(667.0-horse) 0.94(1048.0-sheep) 0.96(802.0-cow) 1.00(521.0-elephant) 0.99(168.0-bear) 0.99(540.0-zebra) 0.99(546.0-giraffe) 0.58(860.0-backpack) 0.83(1226.0-umbrella) 0.54(1177.0-handbag) 0.93(569.0-tie) 0.81(594.0-suitcase) 1.00(243.0-frisbee) 0.74(684.0-skis) 0.78(237.0-snowboard) 0.98(634.0-sports ball) 0.91(810.0-kite) 0.90(340.0-baseball bat) 0.96(353.0-baseball glove) 0.99(603.0-skateboard) 0.91(731.0-surfboard) 0.99(461.0-tennis racket) 0.88(2378.0-bottle) 0.95(816.0-wine glass) 0.90(2385.0-cup) 0.81(512.0-fork) 0.54(892.0-knife) 0.53(649.0-spoon) 0.84(1641.0-bowl) 0.71(997.0-banana) 0.56(560.0-apple) 0.84(537.0-sandwich) 0.68(749.0-orange) 0.70(783.0-broccoli) 0.56(822.0-carrot) 0.77(282.0-hot dog) 0.96(644.0-pizza) 0.94(679.0-donut) 0.88(609.0-cake) 0.80(4105.0-chair) 0.84(678.0-couch) 0.76(1004.0-potted plant) 0.96(446.0-bed) 0.73(2201.0-dining table) 0.96(399.0-toilet) 0.99(534.0-tv) 0.97(489.0-laptop) 0.98(220.0-mouse) 0.77(498.0-remote) 0.99(283.0-keyboard) 0.86(685.0-cell phone) 0.98(148.0-microwave) 0.90(395.0-oven) 0.37(8.0-toaster) 0.83(571.0-sink) 0.98(280.0-refrigerator) 0.36(2099.0-book) 0.99(684.0-clock) 0.92(752.0-vase) 0.77(157.0-scissors) 0.94(489.0-teddy bear) 0.00(0.0-hair drier) 0.50(177.0-toothbrush)
2021-10-31 20:28:30,467 - mmdet - INFO - pseudo ig: 0.64(101564.0-person) 0.44(2415.0-bicycle) 0.50(17520.0-car) 0.57(3353.0-motorcycle) 0.70(1775.0-airplane) 0.68(2114.0-bus) 0.62(1690.0-train) 0.36(4104.0-truck) 0.35(4202.0-boat) 0.40(5586.0-traffic light) 0.71(728.0-fire hydrant) 0.64(743.0-stop sign) 0.36(516.0-parking meter) 0.22(3893.0-bench) 0.34(4229.0-bird) 0.75(1857.0-cat) 0.67(2012.0-dog) 0.63(2446.0-horse) 0.51(4317.0-sheep) 0.52(3488.0-cow) 0.77(2212.0-elephant) 0.68(533.0-bear) 0.79(2032.0-zebra) 0.88(1856.0-giraffe) 0.23(3429.0-backpack) 0.41(4872.0-umbrella) 0.21(4953.0-handbag) 0.44(2116.0-tie) 0.41(2174.0-suitcase) 0.63(988.0-frisbee) 0.35(2546.0-skis) 0.32(989.0-snowboard) 0.40(2494.0-sports ball) 0.49(3064.0-kite) 0.40(1366.0-baseball bat) 0.45(1385.0-baseball glove) 0.58(2153.0-skateboard) 0.44(2561.0-surfboard) 0.67(1796.0-tennis racket) 0.43(9353.0-bottle) 0.45(3358.0-wine glass) 0.36(9725.0-cup) 0.29(2276.0-fork) 0.23(3262.0-knife) 0.19(2788.0-spoon) 0.39(6738.0-bowl) 0.28(4355.0-banana) 0.20(2511.0-apple) 0.35(1820.0-sandwich) 0.27(2879.0-orange) 0.39(3049.0-broccoli) 0.24(3266.0-carrot) 0.34(1050.0-hot dog) 0.56(2320.0-pizza) 0.42(2715.0-donut) 0.38(2394.0-cake) 0.32(15576.0-chair) 0.40(2484.0-couch) 0.36(3730.0-potted plant) 0.52(1512.0-bed) 0.37(6130.0-dining table) 0.72(1576.0-toilet) 0.61(2248.0-tv) 0.60(2040.0-laptop) 0.47(901.0-mouse) 0.34(2247.0-remote) 0.47(1113.0-keyboard) 0.30(2596.0-cell phone) 0.58(629.0-microwave) 0.37(1410.0-oven) 0.50(4.0-toaster) 0.46(2260.0-sink) 0.47(1007.0-refrigerator) 0.19(8196.0-book) 0.62(2364.0-clock) 0.38(3068.0-vase) 0.23(563.0-scissors) 0.49(1938.0-teddy bear) 0.00(0.0-hair drier) 0.19(666.0-toothbrush)
2021-10-31 20:28:30,467 - mmdet - INFO - pseudo gt: 131837.0 3535.0 21893.0 4502.0 2530.0 3169.0 2274.0 4885.0 5239.0 6521.0 935.0 994.0 597.0 5063.0 5318.0 2321.0 2852.0 3209.0 5002.0 3987.0 2783.0 673.0 2829.0 2593.0 4377.0 5676.0 6215.0 3340.0 3298.0 1336.0 3359.0 1399.0 3016.0 4456.0 1583.0 1885.0 2976.0 2848.0 2482.0 12390.0 4335.0 10666.0 2874.0 4199.0 3170.0 7297.0 4579.0 2803.0 2227.0 3089.0 3964.0 3845.0 1480.0 3047.0 3543.0 3207.0 19986.0 2950.0 4573.0 2068.0 8239.0 2173.0 2974.0 2536.0 1108.0 2855.0 1425.0 3233.0 872.0 1671.0 123.0 2848.0 1407.0 11865.0 3290.0 3447.0 653.0 2256.0 90.0 909.0
2021-10-31 20:28:30,467 - mmdet - INFO - pseudo mining: 27787.0 110.0 2753.0 331.0 383.0 619.0 289.0 38.0 133.0 706.0 346.0 484.0 21.0 25.0 172.0 343.0 282.0 473.0 899.0 484.0 996.0 167.0 1108.0 1179.0 4.0 348.0 10.0 208.0 96.0 448.0 58.0 5.0 864.0 863.0 112.0 397.0 418.0 113.0 627.0 971.0 300.0 896.0 13.0 21.0 8.0 463.0 63.0 16.0 36.0 39.0 141.0 59.0 4.0 405.0 428.0 55.0 138.0 27.0 184.0 38.0 114.0 731.0 818.0 399.0 310.0 93.0 145.0 164.0 154.0 59.0 0.0 369.0 90.0 8.0 1598.0 263.0 1.0 168.0 0.0 2.0
2021-10-31 20:30:00,108 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 20:30:00,109 - mmdet - INFO - Iter [15000/40000]	lr: 2.000e-02, eta: 13:24:23, time: 1.687, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0521, loss_cls: 0.2328, acc: 92.1539, loss_bbox: 0.2698, loss_rpn_cls_unlabeled: 0.0948, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1940, acc_unlabeled: 92.1603, loss_bbox_unlabeled: 0.1855, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4991, pseudo_num_ig: 5.6167, pseudo_num_mining: 0.8988, pseudo_num(acc): 0.8806, pseudo_num ig(acc): 0.4838, loss: 1.3475
2021-10-31 20:31:24,003 - mmdet - INFO - Iter [15050/40000]	lr: 2.000e-02, eta: 13:24:52, time: 3.439, data_time: 1.792, memory: 26484, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0509, loss_cls: 0.2308, acc: 92.1493, loss_bbox: 0.2670, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1879, acc_unlabeled: 92.2212, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1816, pseudo_num: 1.4991, pseudo_num_ig: 5.6169, pseudo_num_mining: 0.8997, pseudo_num(acc): 0.8806, pseudo_num ig(acc): 0.4838, loss: 1.3220
2021-10-31 20:32:48,755 - mmdet - INFO - Iter [15100/40000]	lr: 2.000e-02, eta: 13:22:55, time: 1.692, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0496, loss_cls: 0.2250, acc: 92.4117, loss_bbox: 0.2623, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0949, loss_cls_unlabeled: 0.1800, acc_unlabeled: 92.1859, loss_bbox_unlabeled: 0.1764, losses_cls_ig_unlabeled: 0.1826, pseudo_num: 1.4991, pseudo_num_ig: 5.6173, pseudo_num_mining: 0.9005, pseudo_num(acc): 0.8807, pseudo_num ig(acc): 0.4839, loss: 1.2970
2021-10-31 20:34:14,859 - mmdet - INFO - Iter [15150/40000]	lr: 2.000e-02, eta: 13:21:01, time: 1.725, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0512, loss_cls: 0.2322, acc: 92.0720, loss_bbox: 0.2722, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.0970, loss_cls_unlabeled: 0.1920, acc_unlabeled: 92.0642, loss_bbox_unlabeled: 0.1841, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.4989, pseudo_num_ig: 5.6177, pseudo_num_mining: 0.9013, pseudo_num(acc): 0.8808, pseudo_num ig(acc): 0.4840, loss: 1.3348
2021-10-31 20:35:39,017 - mmdet - INFO - Iter [15200/40000]	lr: 2.000e-02, eta: 13:19:04, time: 1.685, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0486, loss_cls: 0.2246, acc: 92.3953, loss_bbox: 0.2592, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1918, acc_unlabeled: 92.2130, loss_bbox_unlabeled: 0.1816, losses_cls_ig_unlabeled: 0.1858, pseudo_num: 1.4987, pseudo_num_ig: 5.6182, pseudo_num_mining: 0.9022, pseudo_num(acc): 0.8808, pseudo_num ig(acc): 0.4840, loss: 1.3106
2021-10-31 20:37:05,041 - mmdet - INFO - Iter [15250/40000]	lr: 2.000e-02, eta: 13:17:09, time: 1.715, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0497, loss_cls: 0.2202, acc: 92.5798, loss_bbox: 0.2584, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1876, acc_unlabeled: 92.0808, loss_bbox_unlabeled: 0.1779, losses_cls_ig_unlabeled: 0.1846, pseudo_num: 1.4986, pseudo_num_ig: 5.6188, pseudo_num_mining: 0.9032, pseudo_num(acc): 0.8809, pseudo_num ig(acc): 0.4840, loss: 1.2998
2021-10-31 20:38:30,325 - mmdet - INFO - Iter [15300/40000]	lr: 2.000e-02, eta: 13:15:15, time: 1.709, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0502, loss_cls: 0.2229, acc: 92.4386, loss_bbox: 0.2613, loss_rpn_cls_unlabeled: 0.0924, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1843, acc_unlabeled: 92.2087, loss_bbox_unlabeled: 0.1777, losses_cls_ig_unlabeled: 0.1863, pseudo_num: 1.4984, pseudo_num_ig: 5.6193, pseudo_num_mining: 0.9041, pseudo_num(acc): 0.8809, pseudo_num ig(acc): 0.4841, loss: 1.3064
2021-10-31 20:39:55,222 - mmdet - INFO - Iter [15350/40000]	lr: 2.000e-02, eta: 13:13:20, time: 1.701, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0498, loss_cls: 0.2221, acc: 92.4640, loss_bbox: 0.2631, loss_rpn_cls_unlabeled: 0.0915, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1904, acc_unlabeled: 92.1426, loss_bbox_unlabeled: 0.1840, losses_cls_ig_unlabeled: 0.1834, pseudo_num: 1.4983, pseudo_num_ig: 5.6202, pseudo_num_mining: 0.9050, pseudo_num(acc): 0.8810, pseudo_num ig(acc): 0.4841, loss: 1.3190
2021-10-31 20:41:19,922 - mmdet - INFO - Iter [15400/40000]	lr: 2.000e-02, eta: 13:11:24, time: 1.692, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0497, loss_cls: 0.2257, acc: 92.2760, loss_bbox: 0.2672, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0970, loss_cls_unlabeled: 0.1824, acc_unlabeled: 92.1451, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.4982, pseudo_num_ig: 5.6212, pseudo_num_mining: 0.9059, pseudo_num(acc): 0.8810, pseudo_num ig(acc): 0.4841, loss: 1.3055
2021-10-31 20:42:45,786 - mmdet - INFO - Iter [15450/40000]	lr: 2.000e-02, eta: 13:09:31, time: 1.718, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0496, loss_cls: 0.2211, acc: 92.5040, loss_bbox: 0.2594, loss_rpn_cls_unlabeled: 0.0828, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1858, acc_unlabeled: 92.2798, loss_bbox_unlabeled: 0.1818, losses_cls_ig_unlabeled: 0.1763, pseudo_num: 1.4981, pseudo_num_ig: 5.6209, pseudo_num_mining: 0.9066, pseudo_num(acc): 0.8811, pseudo_num ig(acc): 0.4841, loss: 1.2793
2021-10-31 20:44:08,738 - mmdet - INFO - pseudo pos: 0.98(29000.0-person) 0.94(672.0-bicycle) 0.94(4871.0-car) 0.99(890.0-motorcycle) 1.00(501.0-airplane) 1.00(555.0-bus) 0.99(569.0-train) 0.77(1165.0-truck) 0.77(1169.0-boat) 0.92(1516.0-traffic light) 0.99(180.0-fire hydrant) 1.00(189.0-stop sign) 0.95(128.0-parking meter) 0.74(1093.0-bench) 0.92(1066.0-bird) 0.98(523.0-cat) 0.98(563.0-dog) 0.99(694.0-horse) 0.94(1089.0-sheep) 0.96(824.0-cow) 1.00(545.0-elephant) 0.99(169.0-bear) 0.99(554.0-zebra) 0.99(561.0-giraffe) 0.58(906.0-backpack) 0.83(1262.0-umbrella) 0.54(1213.0-handbag) 0.93(600.0-tie) 0.81(610.0-suitcase) 1.00(255.0-frisbee) 0.74(707.0-skis) 0.79(245.0-snowboard) 0.98(655.0-sports ball) 0.91(854.0-kite) 0.90(346.0-baseball bat) 0.96(361.0-baseball glove) 0.99(619.0-skateboard) 0.91(759.0-surfboard) 0.99(475.0-tennis racket) 0.88(2475.0-bottle) 0.95(835.0-wine glass) 0.90(2480.0-cup) 0.82(537.0-fork) 0.54(928.0-knife) 0.53(666.0-spoon) 0.84(1697.0-bowl) 0.72(1041.0-banana) 0.56(571.0-apple) 0.84(557.0-sandwich) 0.68(761.0-orange) 0.70(796.0-broccoli) 0.57(852.0-carrot) 0.77(288.0-hot dog) 0.96(654.0-pizza) 0.94(696.0-donut) 0.88(634.0-cake) 0.80(4251.0-chair) 0.84(700.0-couch) 0.77(1038.0-potted plant) 0.95(463.0-bed) 0.73(2287.0-dining table) 0.96(409.0-toilet) 0.98(556.0-tv) 0.97(501.0-laptop) 0.98(233.0-mouse) 0.77(516.0-remote) 0.99(294.0-keyboard) 0.86(705.0-cell phone) 0.98(151.0-microwave) 0.91(411.0-oven) 0.33(9.0-toaster) 0.83(588.0-sink) 0.98(287.0-refrigerator) 0.36(2165.0-book) 0.99(706.0-clock) 0.92(765.0-vase) 0.77(159.0-scissors) 0.94(513.0-teddy bear) 0.00(0.0-hair drier) 0.51(184.0-toothbrush)
2021-10-31 20:44:08,738 - mmdet - INFO - pseudo ig: 0.64(105002.0-person) 0.44(2492.0-bicycle) 0.50(18088.0-car) 0.57(3525.0-motorcycle) 0.70(1823.0-airplane) 0.68(2190.0-bus) 0.62(1748.0-train) 0.36(4276.0-truck) 0.36(4299.0-boat) 0.40(5763.0-traffic light) 0.71(752.0-fire hydrant) 0.64(764.0-stop sign) 0.36(531.0-parking meter) 0.22(3999.0-bench) 0.34(4325.0-bird) 0.75(1908.0-cat) 0.67(2066.0-dog) 0.63(2533.0-horse) 0.51(4454.0-sheep) 0.52(3575.0-cow) 0.77(2298.0-elephant) 0.69(550.0-bear) 0.79(2104.0-zebra) 0.88(1931.0-giraffe) 0.23(3572.0-backpack) 0.41(5029.0-umbrella) 0.21(5154.0-handbag) 0.44(2192.0-tie) 0.41(2266.0-suitcase) 0.63(1025.0-frisbee) 0.35(2617.0-skis) 0.32(1031.0-snowboard) 0.40(2562.0-sports ball) 0.49(3174.0-kite) 0.40(1401.0-baseball bat) 0.45(1444.0-baseball glove) 0.57(2229.0-skateboard) 0.44(2680.0-surfboard) 0.67(1870.0-tennis racket) 0.43(9667.0-bottle) 0.46(3447.0-wine glass) 0.37(10063.0-cup) 0.29(2341.0-fork) 0.23(3389.0-knife) 0.20(2887.0-spoon) 0.39(6963.0-bowl) 0.28(4499.0-banana) 0.21(2552.0-apple) 0.36(1892.0-sandwich) 0.27(2949.0-orange) 0.39(3122.0-broccoli) 0.24(3368.0-carrot) 0.34(1090.0-hot dog) 0.56(2420.0-pizza) 0.42(2828.0-donut) 0.38(2499.0-cake) 0.32(16140.0-chair) 0.39(2576.0-couch) 0.36(3828.0-potted plant) 0.52(1561.0-bed) 0.37(6335.0-dining table) 0.72(1613.0-toilet) 0.62(2322.0-tv) 0.60(2117.0-laptop) 0.46(924.0-mouse) 0.34(2343.0-remote) 0.47(1152.0-keyboard) 0.30(2697.0-cell phone) 0.57(650.0-microwave) 0.37(1448.0-oven) 0.25(8.0-toaster) 0.46(2318.0-sink) 0.48(1035.0-refrigerator) 0.19(8520.0-book) 0.62(2432.0-clock) 0.38(3142.0-vase) 0.23(583.0-scissors) 0.49(2014.0-teddy bear) 0.00(0.0-hair drier) 0.19(687.0-toothbrush)
2021-10-31 20:44:08,738 - mmdet - INFO - pseudo gt: 136134.0 3619.0 22534.0 4683.0 2601.0 3282.0 2349.0 5056.0 5378.0 6695.0 965.0 1022.0 620.0 5220.0 5423.0 2406.0 2933.0 3322.0 5163.0 4081.0 2903.0 688.0 2919.0 2672.0 4535.0 5833.0 6453.0 3484.0 3473.0 1384.0 3445.0 1439.0 3125.0 4639.0 1623.0 1942.0 3062.0 2967.0 2569.0 12844.0 4454.0 11036.0 2995.0 4330.0 3284.0 7532.0 4731.0 2887.0 2296.0 3184.0 4055.0 3979.0 1537.0 3172.0 3635.0 3354.0 20635.0 3041.0 4744.0 2145.0 8535.0 2261.0 3089.0 2620.0 1143.0 2967.0 1477.0 3334.0 901.0 1721.0 124.0 2927.0 1450.0 12257.0 3386.0 3532.0 668.0 2331.0 94.0 937.0
2021-10-31 20:44:08,738 - mmdet - INFO - pseudo mining: 28970.0 112.0 2849.0 357.0 396.0 649.0 301.0 42.0 141.0 738.0 360.0 502.0 22.0 27.0 176.0 362.0 296.0 492.0 926.0 504.0 1052.0 175.0 1160.0 1225.0 4.0 358.0 10.0 221.0 98.0 467.0 62.0 5.0 888.0 901.0 115.0 410.0 439.0 122.0 652.0 1007.0 318.0 946.0 14.0 21.0 8.0 479.0 69.0 16.0 37.0 41.0 145.0 61.0 4.0 424.0 452.0 59.0 140.0 29.0 194.0 38.0 119.0 757.0 852.0 416.0 317.0 105.0 150.0 176.0 160.0 61.0 0.0 381.0 96.0 9.0 1652.0 272.0 1.0 173.0 0.0 2.0
2021-10-31 20:44:10,459 - mmdet - INFO - Iter [15500/40000]	lr: 2.000e-02, eta: 13:07:35, time: 1.689, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0487, loss_cls: 0.2188, acc: 92.5183, loss_bbox: 0.2590, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1892, acc_unlabeled: 92.1698, loss_bbox_unlabeled: 0.1881, losses_cls_ig_unlabeled: 0.1808, pseudo_num: 1.4980, pseudo_num_ig: 5.6208, pseudo_num_mining: 0.9074, pseudo_num(acc): 0.8811, pseudo_num ig(acc): 0.4842, loss: 1.3040
2021-10-31 20:45:35,891 - mmdet - INFO - Iter [15550/40000]	lr: 2.000e-02, eta: 13:05:42, time: 1.714, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0484, loss_cls: 0.2169, acc: 92.5640, loss_bbox: 0.2586, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1847, acc_unlabeled: 91.9951, loss_bbox_unlabeled: 0.1747, losses_cls_ig_unlabeled: 0.1909, pseudo_num: 1.4978, pseudo_num_ig: 5.6208, pseudo_num_mining: 0.9080, pseudo_num(acc): 0.8811, pseudo_num ig(acc): 0.4842, loss: 1.2869
2021-10-31 20:47:01,007 - mmdet - INFO - Iter [15600/40000]	lr: 2.000e-02, eta: 13:03:48, time: 1.701, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0493, loss_cls: 0.2164, acc: 92.5920, loss_bbox: 0.2570, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1873, acc_unlabeled: 91.9563, loss_bbox_unlabeled: 0.1804, losses_cls_ig_unlabeled: 0.1931, pseudo_num: 1.4976, pseudo_num_ig: 5.6213, pseudo_num_mining: 0.9087, pseudo_num(acc): 0.8812, pseudo_num ig(acc): 0.4843, loss: 1.3066
2021-10-31 20:48:25,147 - mmdet - INFO - Iter [15650/40000]	lr: 2.000e-02, eta: 13:01:52, time: 1.685, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0502, loss_cls: 0.2244, acc: 92.3512, loss_bbox: 0.2612, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1884, acc_unlabeled: 92.1421, loss_bbox_unlabeled: 0.1817, losses_cls_ig_unlabeled: 0.1868, pseudo_num: 1.4976, pseudo_num_ig: 5.6223, pseudo_num_mining: 0.9097, pseudo_num(acc): 0.8813, pseudo_num ig(acc): 0.4843, loss: 1.3114
2021-10-31 20:49:50,880 - mmdet - INFO - Iter [15700/40000]	lr: 2.000e-02, eta: 13:00:00, time: 1.714, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0483, loss_cls: 0.2242, acc: 92.3339, loss_bbox: 0.2647, loss_rpn_cls_unlabeled: 0.0894, loss_rpn_bbox_unlabeled: 0.0900, loss_cls_unlabeled: 0.1858, acc_unlabeled: 92.2107, loss_bbox_unlabeled: 0.1736, losses_cls_ig_unlabeled: 0.1828, pseudo_num: 1.4975, pseudo_num_ig: 5.6226, pseudo_num_mining: 0.9105, pseudo_num(acc): 0.8813, pseudo_num ig(acc): 0.4844, loss: 1.2953
2021-10-31 20:51:16,912 - mmdet - INFO - Iter [15750/40000]	lr: 2.000e-02, eta: 12:58:08, time: 1.721, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0506, loss_cls: 0.2284, acc: 92.2238, loss_bbox: 0.2663, loss_rpn_cls_unlabeled: 0.0907, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1954, acc_unlabeled: 92.0513, loss_bbox_unlabeled: 0.1865, losses_cls_ig_unlabeled: 0.1849, pseudo_num: 1.4974, pseudo_num_ig: 5.6230, pseudo_num_mining: 0.9113, pseudo_num(acc): 0.8814, pseudo_num ig(acc): 0.4844, loss: 1.3379
2021-10-31 20:52:41,029 - mmdet - INFO - Iter [15800/40000]	lr: 2.000e-02, eta: 12:56:13, time: 1.683, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0522, loss_cls: 0.2282, acc: 92.2733, loss_bbox: 0.2685, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1873, acc_unlabeled: 92.2339, loss_bbox_unlabeled: 0.1811, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4974, pseudo_num_ig: 5.6236, pseudo_num_mining: 0.9121, pseudo_num(acc): 0.8814, pseudo_num ig(acc): 0.4845, loss: 1.3178
2021-10-31 20:54:06,942 - mmdet - INFO - Iter [15850/40000]	lr: 2.000e-02, eta: 12:54:21, time: 1.715, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0492, loss_cls: 0.2215, acc: 92.4374, loss_bbox: 0.2598, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1898, acc_unlabeled: 92.2639, loss_bbox_unlabeled: 0.1772, losses_cls_ig_unlabeled: 0.1799, pseudo_num: 1.4974, pseudo_num_ig: 5.6233, pseudo_num_mining: 0.9127, pseudo_num(acc): 0.8814, pseudo_num ig(acc): 0.4845, loss: 1.2929
2021-10-31 20:55:31,095 - mmdet - INFO - Iter [15900/40000]	lr: 2.000e-02, eta: 12:52:26, time: 1.682, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0472, loss_cls: 0.2220, acc: 92.5312, loss_bbox: 0.2585, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1878, acc_unlabeled: 91.9492, loss_bbox_unlabeled: 0.1748, losses_cls_ig_unlabeled: 0.1910, pseudo_num: 1.4972, pseudo_num_ig: 5.6238, pseudo_num_mining: 0.9134, pseudo_num(acc): 0.8815, pseudo_num ig(acc): 0.4846, loss: 1.2999
2021-10-31 20:56:56,222 - mmdet - INFO - Iter [15950/40000]	lr: 2.000e-02, eta: 12:50:33, time: 1.702, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0508, loss_cls: 0.2249, acc: 92.4248, loss_bbox: 0.2605, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1880, acc_unlabeled: 92.1051, loss_bbox_unlabeled: 0.1725, losses_cls_ig_unlabeled: 0.1880, pseudo_num: 1.4970, pseudo_num_ig: 5.6239, pseudo_num_mining: 0.9140, pseudo_num(acc): 0.8815, pseudo_num ig(acc): 0.4846, loss: 1.3013
2021-10-31 20:58:19,219 - mmdet - INFO - pseudo pos: 0.98(29860.0-person) 0.94(684.0-bicycle) 0.94(5026.0-car) 0.99(919.0-motorcycle) 1.00(521.0-airplane) 1.00(570.0-bus) 0.99(585.0-train) 0.77(1193.0-truck) 0.77(1208.0-boat) 0.93(1567.0-traffic light) 0.99(185.0-fire hydrant) 0.99(199.0-stop sign) 0.95(136.0-parking meter) 0.74(1113.0-bench) 0.92(1093.0-bird) 0.98(545.0-cat) 0.98(577.0-dog) 0.99(726.0-horse) 0.94(1141.0-sheep) 0.96(858.0-cow) 1.00(564.0-elephant) 0.99(169.0-bear) 0.99(577.0-zebra) 0.99(583.0-giraffe) 0.59(931.0-backpack) 0.83(1310.0-umbrella) 0.54(1239.0-handbag) 0.93(615.0-tie) 0.81(625.0-suitcase) 1.00(264.0-frisbee) 0.74(728.0-skis) 0.80(252.0-snowboard) 0.98(671.0-sports ball) 0.91(877.0-kite) 0.90(358.0-baseball bat) 0.96(379.0-baseball glove) 0.99(633.0-skateboard) 0.91(785.0-surfboard) 0.99(487.0-tennis racket) 0.89(2559.0-bottle) 0.95(857.0-wine glass) 0.90(2574.0-cup) 0.82(555.0-fork) 0.54(955.0-knife) 0.52(690.0-spoon) 0.84(1749.0-bowl) 0.71(1073.0-banana) 0.56(576.0-apple) 0.84(573.0-sandwich) 0.69(781.0-orange) 0.70(825.0-broccoli) 0.57(886.0-carrot) 0.78(300.0-hot dog) 0.96(671.0-pizza) 0.94(711.0-donut) 0.88(656.0-cake) 0.80(4404.0-chair) 0.84(722.0-couch) 0.77(1067.0-potted plant) 0.95(480.0-bed) 0.73(2373.0-dining table) 0.96(420.0-toilet) 0.98(567.0-tv) 0.97(519.0-laptop) 0.98(238.0-mouse) 0.77(537.0-remote) 0.99(298.0-keyboard) 0.85(741.0-cell phone) 0.98(151.0-microwave) 0.91(424.0-oven) 0.31(13.0-toaster) 0.83(605.0-sink) 0.98(294.0-refrigerator) 0.36(2229.0-book) 0.99(730.0-clock) 0.92(778.0-vase) 0.75(177.0-scissors) 0.94(535.0-teddy bear) 0.00(0.0-hair drier) 0.50(194.0-toothbrush)
2021-10-31 20:58:19,220 - mmdet - INFO - pseudo ig: 0.64(108179.0-person) 0.44(2573.0-bicycle) 0.50(18838.0-car) 0.58(3645.0-motorcycle) 0.70(1867.0-airplane) 0.68(2247.0-bus) 0.62(1820.0-train) 0.36(4422.0-truck) 0.36(4444.0-boat) 0.40(5977.0-traffic light) 0.71(779.0-fire hydrant) 0.65(776.0-stop sign) 0.36(547.0-parking meter) 0.22(4107.0-bench) 0.34(4430.0-bird) 0.75(1973.0-cat) 0.67(2118.0-dog) 0.62(2626.0-horse) 0.51(4654.0-sheep) 0.52(3729.0-cow) 0.77(2411.0-elephant) 0.69(560.0-bear) 0.80(2157.0-zebra) 0.87(1999.0-giraffe) 0.23(3672.0-backpack) 0.41(5209.0-umbrella) 0.21(5279.0-handbag) 0.45(2242.0-tie) 0.41(2328.0-suitcase) 0.62(1062.0-frisbee) 0.35(2674.0-skis) 0.32(1061.0-snowboard) 0.41(2658.0-sports ball) 0.49(3228.0-kite) 0.40(1467.0-baseball bat) 0.45(1512.0-baseball glove) 0.57(2304.0-skateboard) 0.44(2754.0-surfboard) 0.67(1933.0-tennis racket) 0.43(9987.0-bottle) 0.46(3542.0-wine glass) 0.37(10347.0-cup) 0.30(2417.0-fork) 0.23(3501.0-knife) 0.20(2992.0-spoon) 0.39(7160.0-bowl) 0.28(4642.0-banana) 0.21(2576.0-apple) 0.36(1963.0-sandwich) 0.27(3056.0-orange) 0.39(3220.0-broccoli) 0.24(3464.0-carrot) 0.34(1101.0-hot dog) 0.56(2501.0-pizza) 0.42(2916.0-donut) 0.38(2586.0-cake) 0.32(16735.0-chair) 0.40(2685.0-couch) 0.37(3944.0-potted plant) 0.52(1622.0-bed) 0.37(6534.0-dining table) 0.72(1669.0-toilet) 0.61(2391.0-tv) 0.60(2182.0-laptop) 0.47(949.0-mouse) 0.35(2421.0-remote) 0.47(1183.0-keyboard) 0.30(2804.0-cell phone) 0.58(668.0-microwave) 0.37(1498.0-oven) 0.15(20.0-toaster) 0.46(2377.0-sink) 0.48(1059.0-refrigerator) 0.19(8745.0-book) 0.63(2519.0-clock) 0.39(3252.0-vase) 0.23(644.0-scissors) 0.48(2067.0-teddy bear) 0.00(0.0-hair drier) 0.20(711.0-toothbrush)
2021-10-31 20:58:19,220 - mmdet - INFO - pseudo gt: 140097.0 3715.0 23286.0 4856.0 2668.0 3379.0 2415.0 5230.0 5510.0 6905.0 1000.0 1051.0 645.0 5405.0 5588.0 2485.0 3031.0 3422.0 5355.0 4261.0 3049.0 702.0 3007.0 2760.0 4634.0 6064.0 6610.0 3556.0 3562.0 1427.0 3532.0 1472.0 3265.0 4733.0 1698.0 2027.0 3148.0 3049.0 2653.0 13251.0 4578.0 11397.0 3098.0 4467.0 3403.0 7740.0 4921.0 2965.0 2419.0 3293.0 4203.0 4104.0 1575.0 3288.0 3741.0 3498.0 21320.0 3152.0 4882.0 2243.0 8832.0 2338.0 3160.0 2698.0 1167.0 3069.0 1515.0 3450.0 920.0 1771.0 127.0 3004.0 1494.0 12650.0 3513.0 3635.0 719.0 2388.0 95.0 973.0
2021-10-31 20:58:19,220 - mmdet - INFO - pseudo mining: 30044.0 115.0 3003.0 374.0 407.0 675.0 307.0 43.0 152.0 767.0 379.0 512.0 22.0 29.0 179.0 369.0 310.0 515.0 966.0 535.0 1111.0 180.0 1195.0 1264.0 4.0 364.0 11.0 231.0 101.0 490.0 63.0 5.0 934.0 924.0 129.0 425.0 459.0 128.0 668.0 1048.0 338.0 981.0 14.0 21.0 11.0 493.0 73.0 16.0 39.0 46.0 151.0 63.0 4.0 454.0 465.0 65.0 143.0 34.0 203.0 40.0 124.0 796.0 878.0 432.0 325.0 112.0 157.0 185.0 167.0 65.0 0.0 391.0 102.0 9.0 1720.0 286.0 1.0 176.0 0.0 2.0
2021-10-31 20:59:15,329 - mmdet - INFO - Evaluating bbox...
2021-10-31 21:00:27,437 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.452 | bicycle      | 0.206 | car            | 0.366 |
| motorcycle    | 0.311 | airplane     | 0.494 | bus            | 0.514 |
| train         | 0.473 | truck        | 0.227 | boat           | 0.173 |
| traffic light | 0.223 | fire hydrant | 0.467 | stop sign      | 0.541 |
| parking meter | 0.378 | bench        | 0.151 | bird           | 0.248 |
| cat           | 0.450 | dog          | 0.417 | horse          | 0.410 |
| sheep         | 0.363 | cow          | 0.418 | elephant       | 0.500 |
| bear          | 0.534 | zebra        | 0.552 | giraffe        | 0.562 |
| backpack      | 0.093 | umbrella     | 0.240 | handbag        | 0.079 |
| tie           | 0.207 | suitcase     | 0.164 | frisbee        | 0.524 |
| skis          | 0.137 | snowboard    | 0.188 | sports ball    | 0.376 |
| kite          | 0.293 | baseball bat | 0.172 | baseball glove | 0.271 |
| skateboard    | 0.345 | surfboard    | 0.233 | tennis racket  | 0.355 |
| bottle        | 0.297 | wine glass   | 0.255 | cup            | 0.298 |
| fork          | 0.165 | knife        | 0.070 | spoon          | 0.075 |
| bowl          | 0.318 | banana       | 0.155 | apple          | 0.086 |
| sandwich      | 0.208 | orange       | 0.217 | broccoli       | 0.160 |
| carrot        | 0.098 | hot dog      | 0.118 | pizza          | 0.345 |
| donut         | 0.278 | cake         | 0.208 | chair          | 0.164 |
| couch         | 0.285 | potted plant | 0.161 | bed            | 0.291 |
| dining table  | 0.172 | toilet       | 0.449 | tv             | 0.466 |
| laptop        | 0.452 | mouse        | 0.492 | remote         | 0.166 |
| keyboard      | 0.360 | cell phone   | 0.247 | microwave      | 0.394 |
| oven          | 0.220 | toaster      | 0.233 | sink           | 0.239 |
| refrigerator  | 0.358 | book         | 0.060 | clock          | 0.413 |
| vase          | 0.287 | scissors     | 0.178 | teddy bear     | 0.288 |
| hair drier    | 0.000 | toothbrush   | 0.109 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 21:01:23,074 - mmdet - INFO - Evaluating bbox...
2021-10-31 21:02:33,816 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.474 | bicycle      | 0.233 | car            | 0.383 |
| motorcycle    | 0.343 | airplane     | 0.533 | bus            | 0.552 |
| train         | 0.513 | truck        | 0.269 | boat           | 0.202 |
| traffic light | 0.245 | fire hydrant | 0.554 | stop sign      | 0.582 |
| parking meter | 0.433 | bench        | 0.176 | bird           | 0.283 |
| cat           | 0.529 | dog          | 0.485 | horse          | 0.494 |
| sheep         | 0.408 | cow          | 0.475 | elephant       | 0.545 |
| bear          | 0.602 | zebra        | 0.568 | giraffe        | 0.599 |
| backpack      | 0.107 | umbrella     | 0.282 | handbag        | 0.090 |
| tie           | 0.236 | suitcase     | 0.225 | frisbee        | 0.560 |
| skis          | 0.156 | snowboard    | 0.217 | sports ball    | 0.397 |
| kite          | 0.316 | baseball bat | 0.187 | baseball glove | 0.300 |
| skateboard    | 0.402 | surfboard    | 0.265 | tennis racket  | 0.373 |
| bottle        | 0.320 | wine glass   | 0.287 | cup            | 0.337 |
| fork          | 0.183 | knife        | 0.096 | spoon          | 0.087 |
| bowl          | 0.359 | banana       | 0.172 | apple          | 0.126 |
| sandwich      | 0.246 | orange       | 0.265 | broccoli       | 0.190 |
| carrot        | 0.119 | hot dog      | 0.171 | pizza          | 0.417 |
| donut         | 0.331 | cake         | 0.247 | chair          | 0.187 |
| couch         | 0.317 | potted plant | 0.180 | bed            | 0.319 |
| dining table  | 0.190 | toilet       | 0.502 | tv             | 0.485 |
| laptop        | 0.494 | mouse        | 0.528 | remote         | 0.202 |
| keyboard      | 0.402 | cell phone   | 0.281 | microwave      | 0.442 |
| oven          | 0.247 | toaster      | 0.310 | sink           | 0.277 |
| refrigerator  | 0.403 | book         | 0.065 | clock          | 0.442 |
| vase          | 0.306 | scissors     | 0.212 | teddy bear     | 0.356 |
| hair drier    | 0.000 | toothbrush   | 0.101 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 21:04:03,134 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 21:04:03,135 - mmdet - INFO - Iter [16000/40000]	lr: 2.000e-02, eta: 12:48:40, time: 1.693, data_time: 0.033, memory: 26484, bbox_mAP: 0.3220, bbox_mAP_50: 0.5240, bbox_mAP_75: 0.3460, bbox_mAP_s: 0.1890, bbox_mAP_m: 0.3530, bbox_mAP_l: 0.4190, bbox_mAP_copypaste: 0.322 0.524 0.346 0.189 0.353 0.419, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0515, loss_cls: 0.2249, acc: 92.3795, loss_bbox: 0.2625, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1864, acc_unlabeled: 92.0493, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1908, pseudo_num: 1.4967, pseudo_num_ig: 5.6244, pseudo_num_mining: 0.9148, pseudo_num(acc): 0.8816, pseudo_num ig(acc): 0.4847, loss: 1.3072
2021-10-31 21:05:26,176 - mmdet - INFO - Iter [16050/40000]	lr: 2.000e-02, eta: 12:55:15, time: 8.507, data_time: 6.876, memory: 26484, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0473, loss_cls: 0.2197, acc: 92.4928, loss_bbox: 0.2627, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1915, acc_unlabeled: 92.3059, loss_bbox_unlabeled: 0.1830, losses_cls_ig_unlabeled: 0.1797, pseudo_num: 1.4965, pseudo_num_ig: 5.6240, pseudo_num_mining: 0.9154, pseudo_num(acc): 0.8816, pseudo_num ig(acc): 0.4847, loss: 1.3012
2021-10-31 21:06:51,655 - mmdet - INFO - Iter [16100/40000]	lr: 2.000e-02, eta: 12:53:21, time: 1.711, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0506, loss_cls: 0.2254, acc: 92.3352, loss_bbox: 0.2619, loss_rpn_cls_unlabeled: 0.0806, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1781, acc_unlabeled: 92.4050, loss_bbox_unlabeled: 0.1690, losses_cls_ig_unlabeled: 0.1800, pseudo_num: 1.4962, pseudo_num_ig: 5.6238, pseudo_num_mining: 0.9161, pseudo_num(acc): 0.8816, pseudo_num ig(acc): 0.4848, loss: 1.2736
2021-10-31 21:08:15,388 - mmdet - INFO - Iter [16150/40000]	lr: 2.000e-02, eta: 12:51:24, time: 1.671, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0498, loss_cls: 0.2261, acc: 92.3335, loss_bbox: 0.2654, loss_rpn_cls_unlabeled: 0.0957, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1929, acc_unlabeled: 92.0247, loss_bbox_unlabeled: 0.1869, losses_cls_ig_unlabeled: 0.1889, pseudo_num: 1.4960, pseudo_num_ig: 5.6237, pseudo_num_mining: 0.9169, pseudo_num(acc): 0.8817, pseudo_num ig(acc): 0.4849, loss: 1.3382
2021-10-31 21:09:39,601 - mmdet - INFO - Iter [16200/40000]	lr: 2.000e-02, eta: 12:49:28, time: 1.685, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0482, loss_cls: 0.2153, acc: 92.6394, loss_bbox: 0.2508, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1778, acc_unlabeled: 92.4956, loss_bbox_unlabeled: 0.1735, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4960, pseudo_num_ig: 5.6240, pseudo_num_mining: 0.9176, pseudo_num(acc): 0.8817, pseudo_num ig(acc): 0.4849, loss: 1.2586
2021-10-31 21:11:04,812 - mmdet - INFO - Iter [16250/40000]	lr: 2.000e-02, eta: 12:47:33, time: 1.699, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0471, loss_cls: 0.2197, acc: 92.5132, loss_bbox: 0.2572, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0912, loss_cls_unlabeled: 0.1807, acc_unlabeled: 92.3627, loss_bbox_unlabeled: 0.1766, losses_cls_ig_unlabeled: 0.1779, pseudo_num: 1.4960, pseudo_num_ig: 5.6236, pseudo_num_mining: 0.9182, pseudo_num(acc): 0.8817, pseudo_num ig(acc): 0.4850, loss: 1.2715
2021-10-31 21:12:30,533 - mmdet - INFO - Iter [16300/40000]	lr: 2.000e-02, eta: 12:45:41, time: 1.721, data_time: 0.038, memory: 26484, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0491, loss_cls: 0.2174, acc: 92.5410, loss_bbox: 0.2580, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1867, acc_unlabeled: 92.1996, loss_bbox_unlabeled: 0.1811, losses_cls_ig_unlabeled: 0.1764, pseudo_num: 1.4960, pseudo_num_ig: 5.6230, pseudo_num_mining: 0.9188, pseudo_num(acc): 0.8818, pseudo_num ig(acc): 0.4850, loss: 1.2823
2021-10-31 21:13:56,002 - mmdet - INFO - Iter [16350/40000]	lr: 2.000e-02, eta: 12:43:47, time: 1.711, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0527, loss_cls: 0.2233, acc: 92.4233, loss_bbox: 0.2623, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0962, loss_cls_unlabeled: 0.1872, acc_unlabeled: 92.2848, loss_bbox_unlabeled: 0.1837, losses_cls_ig_unlabeled: 0.1789, pseudo_num: 1.4960, pseudo_num_ig: 5.6230, pseudo_num_mining: 0.9194, pseudo_num(acc): 0.8818, pseudo_num ig(acc): 0.4851, loss: 1.3084
2021-10-31 21:15:21,274 - mmdet - INFO - Iter [16400/40000]	lr: 2.000e-02, eta: 12:41:53, time: 1.701, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0486, loss_cls: 0.2248, acc: 92.3859, loss_bbox: 0.2624, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1847, acc_unlabeled: 92.2795, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.4960, pseudo_num_ig: 5.6227, pseudo_num_mining: 0.9199, pseudo_num(acc): 0.8819, pseudo_num ig(acc): 0.4851, loss: 1.2910
2021-10-31 21:16:46,676 - mmdet - INFO - Iter [16450/40000]	lr: 2.000e-02, eta: 12:40:00, time: 1.712, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0519, loss_cls: 0.2218, acc: 92.4193, loss_bbox: 0.2634, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1878, acc_unlabeled: 92.2982, loss_bbox_unlabeled: 0.1793, losses_cls_ig_unlabeled: 0.1800, pseudo_num: 1.4960, pseudo_num_ig: 5.6226, pseudo_num_mining: 0.9204, pseudo_num(acc): 0.8819, pseudo_num ig(acc): 0.4851, loss: 1.2953
2021-10-31 21:18:10,577 - mmdet - INFO - pseudo pos: 0.98(30885.0-person) 0.94(700.0-bicycle) 0.94(5184.0-car) 0.99(948.0-motorcycle) 1.00(534.0-airplane) 1.00(598.0-bus) 0.99(595.0-train) 0.77(1231.0-truck) 0.77(1232.0-boat) 0.93(1600.0-traffic light) 0.99(192.0-fire hydrant) 1.00(206.0-stop sign) 0.95(142.0-parking meter) 0.74(1144.0-bench) 0.92(1117.0-bird) 0.98(569.0-cat) 0.98(592.0-dog) 0.99(743.0-horse) 0.94(1185.0-sheep) 0.96(875.0-cow) 1.00(585.0-elephant) 0.99(177.0-bear) 0.99(602.0-zebra) 0.99(592.0-giraffe) 0.59(961.0-backpack) 0.83(1339.0-umbrella) 0.54(1277.0-handbag) 0.93(633.0-tie) 0.81(642.0-suitcase) 1.00(277.0-frisbee) 0.74(750.0-skis) 0.80(262.0-snowboard) 0.98(699.0-sports ball) 0.91(912.0-kite) 0.90(367.0-baseball bat) 0.96(392.0-baseball glove) 0.99(643.0-skateboard) 0.91(804.0-surfboard) 0.99(496.0-tennis racket) 0.89(2652.0-bottle) 0.95(892.0-wine glass) 0.90(2634.0-cup) 0.82(572.0-fork) 0.54(982.0-knife) 0.52(708.0-spoon) 0.84(1800.0-bowl) 0.71(1135.0-banana) 0.57(599.0-apple) 0.84(590.0-sandwich) 0.68(800.0-orange) 0.70(867.0-broccoli) 0.57(916.0-carrot) 0.78(306.0-hot dog) 0.96(694.0-pizza) 0.94(761.0-donut) 0.88(681.0-cake) 0.80(4517.0-chair) 0.85(738.0-couch) 0.76(1093.0-potted plant) 0.95(491.0-bed) 0.73(2433.0-dining table) 0.96(430.0-toilet) 0.98(581.0-tv) 0.97(538.0-laptop) 0.98(241.0-mouse) 0.77(554.0-remote) 0.99(301.0-keyboard) 0.86(761.0-cell phone) 0.98(156.0-microwave) 0.91(438.0-oven) 0.27(15.0-toaster) 0.84(632.0-sink) 0.98(307.0-refrigerator) 0.36(2299.0-book) 0.99(746.0-clock) 0.91(800.0-vase) 0.74(180.0-scissors) 0.94(561.0-teddy bear) 0.00(0.0-hair drier) 0.50(195.0-toothbrush)
2021-10-31 21:18:10,577 - mmdet - INFO - pseudo ig: 0.65(111657.0-person) 0.44(2660.0-bicycle) 0.50(19446.0-car) 0.57(3790.0-motorcycle) 0.70(1935.0-airplane) 0.68(2341.0-bus) 0.62(1894.0-train) 0.36(4597.0-truck) 0.36(4543.0-boat) 0.40(6170.0-traffic light) 0.71(795.0-fire hydrant) 0.65(800.0-stop sign) 0.36(556.0-parking meter) 0.22(4234.0-bench) 0.34(4548.0-bird) 0.75(2038.0-cat) 0.67(2175.0-dog) 0.62(2733.0-horse) 0.51(4804.0-sheep) 0.52(3810.0-cow) 0.78(2471.0-elephant) 0.69(574.0-bear) 0.80(2231.0-zebra) 0.87(2050.0-giraffe) 0.23(3815.0-backpack) 0.42(5421.0-umbrella) 0.21(5494.0-handbag) 0.45(2339.0-tie) 0.41(2417.0-suitcase) 0.62(1095.0-frisbee) 0.35(2753.0-skis) 0.33(1097.0-snowboard) 0.41(2751.0-sports ball) 0.49(3307.0-kite) 0.41(1499.0-baseball bat) 0.45(1549.0-baseball glove) 0.58(2378.0-skateboard) 0.44(2853.0-surfboard) 0.67(1990.0-tennis racket) 0.43(10294.0-bottle) 0.46(3628.0-wine glass) 0.37(10639.0-cup) 0.30(2503.0-fork) 0.23(3585.0-knife) 0.20(3097.0-spoon) 0.38(7417.0-bowl) 0.28(4754.0-banana) 0.21(2666.0-apple) 0.36(2024.0-sandwich) 0.27(3131.0-orange) 0.39(3314.0-broccoli) 0.24(3558.0-carrot) 0.34(1129.0-hot dog) 0.56(2571.0-pizza) 0.42(2952.0-donut) 0.38(2683.0-cake) 0.32(17200.0-chair) 0.40(2761.0-couch) 0.37(4060.0-potted plant) 0.53(1669.0-bed) 0.37(6742.0-dining table) 0.72(1723.0-toilet) 0.62(2452.0-tv) 0.60(2233.0-laptop) 0.47(974.0-mouse) 0.35(2502.0-remote) 0.47(1215.0-keyboard) 0.30(2877.0-cell phone) 0.58(693.0-microwave) 0.37(1556.0-oven) 0.12(26.0-toaster) 0.46(2450.0-sink) 0.47(1100.0-refrigerator) 0.19(9043.0-book) 0.63(2583.0-clock) 0.39(3328.0-vase) 0.23(653.0-scissors) 0.48(2159.0-teddy bear) 0.00(0.0-hair drier) 0.20(732.0-toothbrush)
2021-10-31 21:18:10,577 - mmdet - INFO - pseudo gt: 144635.0 3812.0 24007.0 5047.0 2765.0 3489.0 2502.0 5440.0 5655.0 7137.0 1032.0 1086.0 672.0 5583.0 5731.0 2562.0 3097.0 3544.0 5508.0 4396.0 3137.0 729.0 3104.0 2832.0 4755.0 6277.0 6816.0 3708.0 3659.0 1472.0 3630.0 1528.0 3367.0 4848.0 1762.0 2074.0 3243.0 3150.0 2725.0 13675.0 4721.0 11680.0 3199.0 4594.0 3522.0 7969.0 5091.0 3100.0 2488.0 3403.0 4348.0 4224.0 1611.0 3379.0 3837.0 3614.0 21937.0 3268.0 5011.0 2310.0 9129.0 2415.0 3248.0 2775.0 1196.0 3183.0 1550.0 3554.0 951.0 1848.0 128.0 3110.0 1546.0 13045.0 3615.0 3734.0 729.0 2498.0 97.0 1007.0
2021-10-31 21:18:10,578 - mmdet - INFO - pseudo mining: 31223.0 119.0 3110.0 397.0 420.0 699.0 326.0 48.0 158.0 809.0 386.0 532.0 24.0 30.0 185.0 377.0 320.0 549.0 997.0 560.0 1143.0 190.0 1241.0 1297.0 5.0 389.0 12.0 244.0 103.0 504.0 64.0 6.0 966.0 944.0 132.0 437.0 478.0 137.0 695.0 1084.0 351.0 1020.0 14.0 23.0 13.0 523.0 74.0 16.0 39.0 46.0 164.0 65.0 4.0 466.0 470.0 77.0 152.0 34.0 214.0 43.0 126.0 830.0 916.0 444.0 333.0 118.0 162.0 196.0 173.0 71.0 0.0 405.0 104.0 10.0 1767.0 292.0 1.0 183.0 0.0 2.0
2021-10-31 21:18:12,163 - mmdet - INFO - Iter [16500/40000]	lr: 2.000e-02, eta: 12:38:07, time: 1.710, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0493, loss_cls: 0.2226, acc: 92.4752, loss_bbox: 0.2634, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1867, acc_unlabeled: 92.2074, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4961, pseudo_num_ig: 5.6228, pseudo_num_mining: 0.9211, pseudo_num(acc): 0.8819, pseudo_num ig(acc): 0.4852, loss: 1.3037
2021-10-31 21:19:37,182 - mmdet - INFO - Iter [16550/40000]	lr: 2.000e-02, eta: 12:36:14, time: 1.702, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0486, loss_cls: 0.2260, acc: 92.4130, loss_bbox: 0.2581, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1872, acc_unlabeled: 92.2021, loss_bbox_unlabeled: 0.1812, losses_cls_ig_unlabeled: 0.1798, pseudo_num: 1.4961, pseudo_num_ig: 5.6228, pseudo_num_mining: 0.9218, pseudo_num(acc): 0.8820, pseudo_num ig(acc): 0.4852, loss: 1.2989
2021-10-31 21:21:02,586 - mmdet - INFO - Iter [16600/40000]	lr: 2.000e-02, eta: 12:34:21, time: 1.706, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0499, loss_cls: 0.2253, acc: 92.2758, loss_bbox: 0.2646, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1852, acc_unlabeled: 92.3813, loss_bbox_unlabeled: 0.1784, losses_cls_ig_unlabeled: 0.1766, pseudo_num: 1.4961, pseudo_num_ig: 5.6224, pseudo_num_mining: 0.9222, pseudo_num(acc): 0.8821, pseudo_num ig(acc): 0.4852, loss: 1.2938
2021-10-31 21:22:28,434 - mmdet - INFO - Iter [16650/40000]	lr: 2.000e-02, eta: 12:32:29, time: 1.717, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0485, loss_cls: 0.2172, acc: 92.6349, loss_bbox: 0.2522, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1914, acc_unlabeled: 92.2759, loss_bbox_unlabeled: 0.1837, losses_cls_ig_unlabeled: 0.1800, pseudo_num: 1.4962, pseudo_num_ig: 5.6222, pseudo_num_mining: 0.9227, pseudo_num(acc): 0.8821, pseudo_num ig(acc): 0.4852, loss: 1.2880
2021-10-31 21:23:51,566 - mmdet - INFO - Iter [16700/40000]	lr: 2.000e-02, eta: 12:30:34, time: 1.665, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0495, loss_cls: 0.2176, acc: 92.5292, loss_bbox: 0.2602, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1867, acc_unlabeled: 92.3086, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1746, pseudo_num: 1.4964, pseudo_num_ig: 5.6221, pseudo_num_mining: 0.9234, pseudo_num(acc): 0.8822, pseudo_num ig(acc): 0.4852, loss: 1.2868
2021-10-31 21:26:34,474 - mmdet - INFO - Iter [16750/40000]	lr: 2.000e-02, eta: 12:30:29, time: 3.257, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0479, loss_cls: 0.2106, acc: 92.7983, loss_bbox: 0.2508, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1845, acc_unlabeled: 92.3695, loss_bbox_unlabeled: 0.1838, losses_cls_ig_unlabeled: 0.1735, pseudo_num: 1.4967, pseudo_num_ig: 5.6219, pseudo_num_mining: 0.9239, pseudo_num(acc): 0.8822, pseudo_num ig(acc): 0.4853, loss: 1.2647
2021-10-31 21:28:00,302 - mmdet - INFO - Iter [16800/40000]	lr: 2.000e-02, eta: 12:28:37, time: 1.715, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0492, loss_cls: 0.2257, acc: 92.3374, loss_bbox: 0.2646, loss_rpn_cls_unlabeled: 0.0860, loss_rpn_bbox_unlabeled: 0.0912, loss_cls_unlabeled: 0.1943, acc_unlabeled: 92.2657, loss_bbox_unlabeled: 0.1854, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.4968, pseudo_num_ig: 5.6216, pseudo_num_mining: 0.9245, pseudo_num(acc): 0.8822, pseudo_num ig(acc): 0.4853, loss: 1.3145
2021-10-31 21:29:26,645 - mmdet - INFO - Iter [16850/40000]	lr: 2.000e-02, eta: 12:26:46, time: 1.728, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0500, loss_cls: 0.2264, acc: 92.2356, loss_bbox: 0.2715, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1904, acc_unlabeled: 92.1729, loss_bbox_unlabeled: 0.1891, losses_cls_ig_unlabeled: 0.1805, pseudo_num: 1.4970, pseudo_num_ig: 5.6218, pseudo_num_mining: 0.9251, pseudo_num(acc): 0.8822, pseudo_num ig(acc): 0.4853, loss: 1.3208
2021-10-31 21:30:51,250 - mmdet - INFO - Iter [16900/40000]	lr: 2.000e-02, eta: 12:24:52, time: 1.692, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0493, loss_cls: 0.2187, acc: 92.5347, loss_bbox: 0.2633, loss_rpn_cls_unlabeled: 0.0866, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1913, acc_unlabeled: 92.1572, loss_bbox_unlabeled: 0.1880, losses_cls_ig_unlabeled: 0.1789, pseudo_num: 1.4971, pseudo_num_ig: 5.6214, pseudo_num_mining: 0.9256, pseudo_num(acc): 0.8822, pseudo_num ig(acc): 0.4854, loss: 1.3052
2021-10-31 21:32:15,546 - mmdet - INFO - Iter [16950/40000]	lr: 2.000e-02, eta: 12:22:59, time: 1.686, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0489, loss_cls: 0.2230, acc: 92.4180, loss_bbox: 0.2591, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0951, loss_cls_unlabeled: 0.1912, acc_unlabeled: 92.2571, loss_bbox_unlabeled: 0.1907, losses_cls_ig_unlabeled: 0.1757, pseudo_num: 1.4973, pseudo_num_ig: 5.6215, pseudo_num_mining: 0.9262, pseudo_num(acc): 0.8823, pseudo_num ig(acc): 0.4854, loss: 1.3071
2021-10-31 21:33:39,759 - mmdet - INFO - pseudo pos: 0.98(31888.0-person) 0.94(723.0-bicycle) 0.94(5338.0-car) 0.98(977.0-motorcycle) 1.00(547.0-airplane) 1.00(609.0-bus) 0.99(618.0-train) 0.77(1246.0-truck) 0.77(1258.0-boat) 0.93(1665.0-traffic light) 0.99(194.0-fire hydrant) 1.00(213.0-stop sign) 0.95(147.0-parking meter) 0.75(1182.0-bench) 0.93(1148.0-bird) 0.98(598.0-cat) 0.98(606.0-dog) 0.99(757.0-horse) 0.93(1228.0-sheep) 0.96(915.0-cow) 1.00(616.0-elephant) 0.99(179.0-bear) 0.99(617.0-zebra) 0.99(607.0-giraffe) 0.59(998.0-backpack) 0.83(1373.0-umbrella) 0.54(1312.0-handbag) 0.93(655.0-tie) 0.81(653.0-suitcase) 1.00(287.0-frisbee) 0.74(775.0-skis) 0.81(273.0-snowboard) 0.98(722.0-sports ball) 0.91(930.0-kite) 0.90(385.0-baseball bat) 0.96(407.0-baseball glove) 0.99(669.0-skateboard) 0.91(829.0-surfboard) 0.99(514.0-tennis racket) 0.89(2729.0-bottle) 0.95(912.0-wine glass) 0.90(2707.0-cup) 0.82(590.0-fork) 0.54(1000.0-knife) 0.52(729.0-spoon) 0.84(1863.0-bowl) 0.71(1161.0-banana) 0.57(620.0-apple) 0.84(603.0-sandwich) 0.68(850.0-orange) 0.71(899.0-broccoli) 0.57(931.0-carrot) 0.79(315.0-hot dog) 0.96(709.0-pizza) 0.94(781.0-donut) 0.88(705.0-cake) 0.80(4638.0-chair) 0.85(759.0-couch) 0.76(1123.0-potted plant) 0.95(503.0-bed) 0.73(2499.0-dining table) 0.96(442.0-toilet) 0.98(595.0-tv) 0.97(548.0-laptop) 0.98(246.0-mouse) 0.77(564.0-remote) 0.99(310.0-keyboard) 0.86(779.0-cell phone) 0.98(163.0-microwave) 0.91(453.0-oven) 0.27(15.0-toaster) 0.84(654.0-sink) 0.97(315.0-refrigerator) 0.36(2386.0-book) 0.99(766.0-clock) 0.92(817.0-vase) 0.75(183.0-scissors) 0.94(589.0-teddy bear) 0.00(0.0-hair drier) 0.51(198.0-toothbrush)
2021-10-31 21:33:39,760 - mmdet - INFO - pseudo ig: 0.65(115076.0-person) 0.44(2762.0-bicycle) 0.50(20050.0-car) 0.58(3926.0-motorcycle) 0.71(1997.0-airplane) 0.68(2440.0-bus) 0.62(1942.0-train) 0.36(4720.0-truck) 0.36(4622.0-boat) 0.40(6391.0-traffic light) 0.71(820.0-fire hydrant) 0.64(824.0-stop sign) 0.36(568.0-parking meter) 0.22(4348.0-bench) 0.34(4725.0-bird) 0.74(2110.0-cat) 0.67(2243.0-dog) 0.62(2847.0-horse) 0.51(4940.0-sheep) 0.52(3929.0-cow) 0.78(2547.0-elephant) 0.69(595.0-bear) 0.79(2300.0-zebra) 0.87(2097.0-giraffe) 0.23(3958.0-backpack) 0.42(5567.0-umbrella) 0.21(5647.0-handbag) 0.45(2405.0-tie) 0.41(2470.0-suitcase) 0.62(1127.0-frisbee) 0.36(2826.0-skis) 0.33(1133.0-snowboard) 0.41(2863.0-sports ball) 0.49(3353.0-kite) 0.42(1553.0-baseball bat) 0.46(1595.0-baseball glove) 0.58(2457.0-skateboard) 0.44(2957.0-surfboard) 0.67(2042.0-tennis racket) 0.43(10558.0-bottle) 0.46(3741.0-wine glass) 0.37(10943.0-cup) 0.30(2578.0-fork) 0.23(3652.0-knife) 0.20(3185.0-spoon) 0.38(7608.0-bowl) 0.28(4843.0-banana) 0.22(2747.0-apple) 0.36(2079.0-sandwich) 0.27(3223.0-orange) 0.39(3364.0-broccoli) 0.24(3631.0-carrot) 0.34(1151.0-hot dog) 0.56(2623.0-pizza) 0.42(3012.0-donut) 0.38(2753.0-cake) 0.32(17660.0-chair) 0.40(2842.0-couch) 0.37(4160.0-potted plant) 0.53(1722.0-bed) 0.37(6923.0-dining table) 0.72(1779.0-toilet) 0.62(2523.0-tv) 0.60(2282.0-laptop) 0.47(995.0-mouse) 0.35(2554.0-remote) 0.46(1241.0-keyboard) 0.30(2940.0-cell phone) 0.58(718.0-microwave) 0.37(1590.0-oven) 0.14(29.0-toaster) 0.46(2519.0-sink) 0.48(1137.0-refrigerator) 0.19(9426.0-book) 0.63(2661.0-clock) 0.39(3413.0-vase) 0.23(664.0-scissors) 0.48(2268.0-teddy bear) 0.00(0.0-hair drier) 0.21(758.0-toothbrush)
2021-10-31 21:33:39,760 - mmdet - INFO - pseudo gt: 149042.0 3935.0 24672.0 5228.0 2884.0 3623.0 2575.0 5555.0 5800.0 7416.0 1060.0 1111.0 691.0 5755.0 5901.0 2637.0 3183.0 3645.0 5661.0 4571.0 3250.0 747.0 3190.0 2903.0 4886.0 6463.0 7022.0 3810.0 3737.0 1513.0 3731.0 1563.0 3469.0 4919.0 1849.0 2169.0 3357.0 3237.0 2800.0 14098.0 4825.0 12041.0 3284.0 4713.0 3646.0 8175.0 5197.0 3178.0 2541.0 3502.0 4445.0 4325.0 1657.0 3438.0 3932.0 3725.0 22548.0 3367.0 5161.0 2379.0 9363.0 2495.0 3336.0 2838.0 1228.0 3257.0 1584.0 3646.0 980.0 1903.0 133.0 3200.0 1597.0 13445.0 3744.0 3832.0 759.0 2618.0 101.0 1036.0
2021-10-31 21:33:39,760 - mmdet - INFO - pseudo mining: 32350.0 123.0 3233.0 418.0 443.0 734.0 343.0 51.0 165.0 847.0 403.0 543.0 24.0 31.0 202.0 389.0 332.0 580.0 1027.0 596.0 1176.0 201.0 1282.0 1333.0 7.0 408.0 12.0 253.0 105.0 515.0 67.0 6.0 1002.0 956.0 140.0 459.0 503.0 142.0 714.0 1115.0 361.0 1058.0 14.0 23.0 14.0 539.0 75.0 16.0 40.0 46.0 170.0 67.0 4.0 473.0 480.0 80.0 155.0 36.0 223.0 47.0 129.0 867.0 956.0 458.0 347.0 123.0 163.0 203.0 181.0 72.0 0.0 418.0 106.0 11.0 1836.0 298.0 1.0 195.0 0.0 2.0
2021-10-31 21:35:11,632 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 21:35:11,632 - mmdet - INFO - Iter [17000/40000]	lr: 2.000e-02, eta: 12:21:07, time: 1.716, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0481, loss_cls: 0.2147, acc: 92.6008, loss_bbox: 0.2544, loss_rpn_cls_unlabeled: 0.0909, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.2850, loss_bbox_unlabeled: 0.1789, losses_cls_ig_unlabeled: 0.1792, pseudo_num: 1.4975, pseudo_num_ig: 5.6217, pseudo_num_mining: 0.9269, pseudo_num(acc): 0.8823, pseudo_num ig(acc): 0.4855, loss: 1.2848
2021-10-31 21:36:35,186 - mmdet - INFO - Iter [17050/40000]	lr: 2.000e-02, eta: 12:21:15, time: 3.477, data_time: 1.836, memory: 26484, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0513, loss_cls: 0.2184, acc: 92.6411, loss_bbox: 0.2545, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1823, acc_unlabeled: 92.3721, loss_bbox_unlabeled: 0.1777, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4975, pseudo_num_ig: 5.6213, pseudo_num_mining: 0.9275, pseudo_num(acc): 0.8824, pseudo_num ig(acc): 0.4855, loss: 1.2795
2021-10-31 21:37:58,864 - mmdet - INFO - Iter [17100/40000]	lr: 2.000e-02, eta: 12:19:20, time: 1.674, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0503, loss_cls: 0.2237, acc: 92.2413, loss_bbox: 0.2654, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1878, acc_unlabeled: 92.0671, loss_bbox_unlabeled: 0.1799, losses_cls_ig_unlabeled: 0.1887, pseudo_num: 1.4974, pseudo_num_ig: 5.6216, pseudo_num_mining: 0.9281, pseudo_num(acc): 0.8824, pseudo_num ig(acc): 0.4856, loss: 1.3182
2021-10-31 21:39:23,068 - mmdet - INFO - Iter [17150/40000]	lr: 2.000e-02, eta: 12:17:26, time: 1.684, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0498, loss_cls: 0.2258, acc: 92.3110, loss_bbox: 0.2688, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0889, loss_cls_unlabeled: 0.1866, acc_unlabeled: 92.3063, loss_bbox_unlabeled: 0.1875, losses_cls_ig_unlabeled: 0.1778, pseudo_num: 1.4974, pseudo_num_ig: 5.6218, pseudo_num_mining: 0.9288, pseudo_num(acc): 0.8825, pseudo_num ig(acc): 0.4856, loss: 1.3068
2021-10-31 21:40:50,854 - mmdet - INFO - Iter [17200/40000]	lr: 2.000e-02, eta: 12:15:38, time: 1.756, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0498, loss_cls: 0.2241, acc: 92.3103, loss_bbox: 0.2679, loss_rpn_cls_unlabeled: 0.0923, loss_rpn_bbox_unlabeled: 0.1007, loss_cls_unlabeled: 0.1926, acc_unlabeled: 92.2833, loss_bbox_unlabeled: 0.1869, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.4974, pseudo_num_ig: 5.6219, pseudo_num_mining: 0.9296, pseudo_num(acc): 0.8825, pseudo_num ig(acc): 0.4856, loss: 1.3348
2021-10-31 21:42:16,846 - mmdet - INFO - Iter [17250/40000]	lr: 2.000e-02, eta: 12:13:46, time: 1.716, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0502, loss_cls: 0.2239, acc: 92.3427, loss_bbox: 0.2646, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1879, acc_unlabeled: 92.1884, loss_bbox_unlabeled: 0.1801, losses_cls_ig_unlabeled: 0.1841, pseudo_num: 1.4974, pseudo_num_ig: 5.6226, pseudo_num_mining: 0.9303, pseudo_num(acc): 0.8825, pseudo_num ig(acc): 0.4856, loss: 1.3066
2021-10-31 21:43:41,724 - mmdet - INFO - Iter [17300/40000]	lr: 2.000e-02, eta: 12:11:54, time: 1.701, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0495, loss_cls: 0.2181, acc: 92.4918, loss_bbox: 0.2591, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1848, acc_unlabeled: 92.2692, loss_bbox_unlabeled: 0.1815, losses_cls_ig_unlabeled: 0.1805, pseudo_num: 1.4975, pseudo_num_ig: 5.6226, pseudo_num_mining: 0.9308, pseudo_num(acc): 0.8826, pseudo_num ig(acc): 0.4856, loss: 1.2942
2021-10-31 21:45:07,669 - mmdet - INFO - Iter [17350/40000]	lr: 2.000e-02, eta: 12:10:03, time: 1.718, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0495, loss_cls: 0.2239, acc: 92.2975, loss_bbox: 0.2633, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1877, acc_unlabeled: 92.3396, loss_bbox_unlabeled: 0.1804, losses_cls_ig_unlabeled: 0.1766, pseudo_num: 1.4977, pseudo_num_ig: 5.6222, pseudo_num_mining: 0.9314, pseudo_num(acc): 0.8826, pseudo_num ig(acc): 0.4856, loss: 1.2954
2021-10-31 21:46:31,701 - mmdet - INFO - Iter [17400/40000]	lr: 2.000e-02, eta: 12:08:10, time: 1.678, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0481, loss_cls: 0.2190, acc: 92.4956, loss_bbox: 0.2593, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1983, acc_unlabeled: 91.9138, loss_bbox_unlabeled: 0.1970, losses_cls_ig_unlabeled: 0.1853, pseudo_num: 1.4980, pseudo_num_ig: 5.6228, pseudo_num_mining: 0.9321, pseudo_num(acc): 0.8826, pseudo_num ig(acc): 0.4856, loss: 1.3207
2021-10-31 21:47:58,300 - mmdet - INFO - Iter [17450/40000]	lr: 2.000e-02, eta: 12:06:20, time: 1.732, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0484, loss_cls: 0.2188, acc: 92.5223, loss_bbox: 0.2578, loss_rpn_cls_unlabeled: 0.0903, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1957, acc_unlabeled: 92.0775, loss_bbox_unlabeled: 0.1923, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.4982, pseudo_num_ig: 5.6232, pseudo_num_mining: 0.9328, pseudo_num(acc): 0.8826, pseudo_num ig(acc): 0.4857, loss: 1.3113
2021-10-31 21:49:21,868 - mmdet - INFO - pseudo pos: 0.98(32752.0-person) 0.93(743.0-bicycle) 0.94(5465.0-car) 0.98(1004.0-motorcycle) 1.00(572.0-airplane) 1.00(630.0-bus) 0.99(633.0-train) 0.77(1286.0-truck) 0.75(1328.0-boat) 0.93(1717.0-traffic light) 0.99(198.0-fire hydrant) 1.00(218.0-stop sign) 0.95(158.0-parking meter) 0.75(1212.0-bench) 0.93(1190.0-bird) 0.98(619.0-cat) 0.98(621.0-dog) 0.99(781.0-horse) 0.93(1247.0-sheep) 0.95(958.0-cow) 1.00(639.0-elephant) 0.99(186.0-bear) 0.98(644.0-zebra) 0.99(619.0-giraffe) 0.59(1027.0-backpack) 0.83(1407.0-umbrella) 0.54(1336.0-handbag) 0.93(668.0-tie) 0.81(682.0-suitcase) 1.00(301.0-frisbee) 0.75(793.0-skis) 0.81(280.0-snowboard) 0.98(742.0-sports ball) 0.91(968.0-kite) 0.90(392.0-baseball bat) 0.96(413.0-baseball glove) 0.99(684.0-skateboard) 0.92(861.0-surfboard) 0.99(525.0-tennis racket) 0.89(2809.0-bottle) 0.95(939.0-wine glass) 0.90(2784.0-cup) 0.82(602.0-fork) 0.54(1037.0-knife) 0.53(752.0-spoon) 0.84(1909.0-bowl) 0.71(1198.0-banana) 0.57(635.0-apple) 0.84(615.0-sandwich) 0.68(896.0-orange) 0.71(920.0-broccoli) 0.58(948.0-carrot) 0.79(322.0-hot dog) 0.96(724.0-pizza) 0.94(814.0-donut) 0.88(723.0-cake) 0.80(4777.0-chair) 0.85(784.0-couch) 0.77(1157.0-potted plant) 0.95(521.0-bed) 0.73(2555.0-dining table) 0.96(449.0-toilet) 0.98(614.0-tv) 0.97(569.0-laptop) 0.98(252.0-mouse) 0.77(584.0-remote) 0.99(319.0-keyboard) 0.86(801.0-cell phone) 0.98(165.0-microwave) 0.91(463.0-oven) 0.27(15.0-toaster) 0.84(674.0-sink) 0.98(325.0-refrigerator) 0.36(2466.0-book) 0.99(782.0-clock) 0.92(839.0-vase) 0.75(187.0-scissors) 0.94(610.0-teddy bear) 0.00(0.0-hair drier) 0.51(204.0-toothbrush)
2021-10-31 21:49:21,868 - mmdet - INFO - pseudo ig: 0.65(118323.0-person) 0.44(2846.0-bicycle) 0.50(20619.0-car) 0.58(4070.0-motorcycle) 0.71(2073.0-airplane) 0.68(2513.0-bus) 0.62(2016.0-train) 0.36(4887.0-truck) 0.36(4815.0-boat) 0.40(6588.0-traffic light) 0.72(848.0-fire hydrant) 0.64(845.0-stop sign) 0.37(583.0-parking meter) 0.22(4464.0-bench) 0.34(4895.0-bird) 0.74(2164.0-cat) 0.67(2319.0-dog) 0.62(2964.0-horse) 0.51(5040.0-sheep) 0.52(4085.0-cow) 0.78(2599.0-elephant) 0.69(611.0-bear) 0.79(2355.0-zebra) 0.87(2153.0-giraffe) 0.23(4054.0-backpack) 0.42(5704.0-umbrella) 0.21(5774.0-handbag) 0.45(2465.0-tie) 0.41(2544.0-suitcase) 0.62(1163.0-frisbee) 0.36(2921.0-skis) 0.33(1169.0-snowboard) 0.41(2936.0-sports ball) 0.49(3475.0-kite) 0.42(1595.0-baseball bat) 0.46(1624.0-baseball glove) 0.58(2520.0-skateboard) 0.44(3079.0-surfboard) 0.67(2114.0-tennis racket) 0.43(10854.0-bottle) 0.46(3827.0-wine glass) 0.37(11284.0-cup) 0.30(2647.0-fork) 0.24(3758.0-knife) 0.20(3283.0-spoon) 0.38(7805.0-bowl) 0.28(4994.0-banana) 0.22(2862.0-apple) 0.36(2127.0-sandwich) 0.27(3331.0-orange) 0.39(3447.0-broccoli) 0.25(3737.0-carrot) 0.34(1176.0-hot dog) 0.56(2681.0-pizza) 0.42(3084.0-donut) 0.39(2816.0-cake) 0.32(18232.0-chair) 0.40(2925.0-couch) 0.37(4267.0-potted plant) 0.53(1775.0-bed) 0.37(7147.0-dining table) 0.72(1840.0-toilet) 0.62(2583.0-tv) 0.60(2343.0-laptop) 0.47(1028.0-mouse) 0.35(2662.0-remote) 0.47(1276.0-keyboard) 0.30(3062.0-cell phone) 0.58(762.0-microwave) 0.37(1632.0-oven) 0.14(29.0-toaster) 0.46(2584.0-sink) 0.48(1159.0-refrigerator) 0.19(9702.0-book) 0.63(2728.0-clock) 0.38(3514.0-vase) 0.23(681.0-scissors) 0.48(2350.0-teddy bear) 0.00(0.0-hair drier) 0.21(780.0-toothbrush)
2021-10-31 21:49:21,869 - mmdet - INFO - pseudo gt: 153340.0 4045.0 25395.0 5400.0 3022.0 3730.0 2648.0 5731.0 5973.0 7658.0 1090.0 1147.0 720.0 5918.0 6089.0 2728.0 3283.0 3788.0 5773.0 4730.0 3333.0 768.0 3272.0 2976.0 5029.0 6682.0 7204.0 3894.0 3853.0 1560.0 3838.0 1604.0 3563.0 5095.0 1883.0 2213.0 3432.0 3376.0 2875.0 14484.0 4961.0 12358.0 3352.0 4824.0 3725.0 8353.0 5332.0 3356.0 2597.0 3633.0 4566.0 4451.0 1702.0 3521.0 4042.0 3820.0 23216.0 3474.0 5299.0 2458.0 9631.0 2550.0 3418.0 2929.0 1258.0 3380.0 1636.0 3770.0 1025.0 1947.0 135.0 3301.0 1644.0 13810.0 3855.0 3955.0 778.0 2715.0 103.0 1060.0
2021-10-31 21:49:21,869 - mmdet - INFO - pseudo mining: 33445.0 127.0 3370.0 445.0 470.0 755.0 369.0 55.0 168.0 884.0 419.0 561.0 28.0 31.0 215.0 400.0 347.0 616.0 1043.0 618.0 1205.0 210.0 1314.0 1368.0 8.0 424.0 13.0 271.0 109.0 529.0 69.0 8.0 1027.0 981.0 144.0 473.0 524.0 154.0 733.0 1156.0 376.0 1099.0 14.0 25.0 15.0 561.0 81.0 17.0 41.0 53.0 181.0 67.0 6.0 485.0 489.0 85.0 164.0 38.0 228.0 52.0 134.0 900.0 982.0 485.0 360.0 130.0 168.0 211.0 196.0 76.0 0.0 436.0 108.0 15.0 1891.0 308.0 1.0 207.0 0.0 4.0
2021-10-31 21:49:23,384 - mmdet - INFO - Iter [17500/40000]	lr: 2.000e-02, eta: 12:04:29, time: 1.704, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0487, loss_cls: 0.2170, acc: 92.5472, loss_bbox: 0.2562, loss_rpn_cls_unlabeled: 0.0891, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1900, acc_unlabeled: 92.0277, loss_bbox_unlabeled: 0.1862, losses_cls_ig_unlabeled: 0.1874, pseudo_num: 1.4983, pseudo_num_ig: 5.6236, pseudo_num_mining: 0.9335, pseudo_num(acc): 0.8826, pseudo_num ig(acc): 0.4857, loss: 1.3020
2021-10-31 21:50:48,528 - mmdet - INFO - Iter [17550/40000]	lr: 2.000e-02, eta: 12:02:38, time: 1.703, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0486, loss_cls: 0.2167, acc: 92.6638, loss_bbox: 0.2560, loss_rpn_cls_unlabeled: 0.0949, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1942, acc_unlabeled: 92.1558, loss_bbox_unlabeled: 0.1829, losses_cls_ig_unlabeled: 0.1850, pseudo_num: 1.4982, pseudo_num_ig: 5.6241, pseudo_num_mining: 0.9343, pseudo_num(acc): 0.8827, pseudo_num ig(acc): 0.4857, loss: 1.3122
2021-10-31 21:52:13,581 - mmdet - INFO - Iter [17600/40000]	lr: 2.000e-02, eta: 12:00:46, time: 1.698, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0493, loss_cls: 0.2119, acc: 92.7625, loss_bbox: 0.2524, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0954, loss_cls_unlabeled: 0.1856, acc_unlabeled: 92.2773, loss_bbox_unlabeled: 0.1790, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.4981, pseudo_num_ig: 5.6243, pseudo_num_mining: 0.9350, pseudo_num(acc): 0.8827, pseudo_num ig(acc): 0.4858, loss: 1.2761
2021-10-31 21:53:38,844 - mmdet - INFO - Iter [17650/40000]	lr: 2.000e-02, eta: 11:58:56, time: 1.709, data_time: 0.035, memory: 26484, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0474, loss_cls: 0.2167, acc: 92.6021, loss_bbox: 0.2542, loss_rpn_cls_unlabeled: 0.0894, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1950, acc_unlabeled: 92.0654, loss_bbox_unlabeled: 0.1881, losses_cls_ig_unlabeled: 0.1898, pseudo_num: 1.4981, pseudo_num_ig: 5.6242, pseudo_num_mining: 0.9357, pseudo_num(acc): 0.8827, pseudo_num ig(acc): 0.4858, loss: 1.3091
2021-10-31 21:55:04,700 - mmdet - INFO - Iter [17700/40000]	lr: 2.000e-02, eta: 11:57:06, time: 1.716, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0480, loss_cls: 0.2233, acc: 92.3761, loss_bbox: 0.2617, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0951, loss_cls_unlabeled: 0.1919, acc_unlabeled: 92.1556, loss_bbox_unlabeled: 0.1836, losses_cls_ig_unlabeled: 0.1831, pseudo_num: 1.4981, pseudo_num_ig: 5.6244, pseudo_num_mining: 0.9364, pseudo_num(acc): 0.8827, pseudo_num ig(acc): 0.4859, loss: 1.3105
2021-10-31 21:56:28,764 - mmdet - INFO - Iter [17750/40000]	lr: 2.000e-02, eta: 11:55:14, time: 1.682, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0482, loss_cls: 0.2180, acc: 92.5638, loss_bbox: 0.2608, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1899, acc_unlabeled: 91.9581, loss_bbox_unlabeled: 0.1875, losses_cls_ig_unlabeled: 0.1870, pseudo_num: 1.4981, pseudo_num_ig: 5.6249, pseudo_num_mining: 0.9371, pseudo_num(acc): 0.8827, pseudo_num ig(acc): 0.4859, loss: 1.3127
2021-10-31 21:57:52,668 - mmdet - INFO - Iter [17800/40000]	lr: 2.000e-02, eta: 11:53:22, time: 1.677, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0466, loss_cls: 0.2214, acc: 92.4922, loss_bbox: 0.2590, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1919, acc_unlabeled: 92.1691, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1858, pseudo_num: 1.4979, pseudo_num_ig: 5.6250, pseudo_num_mining: 0.9377, pseudo_num(acc): 0.8827, pseudo_num ig(acc): 0.4859, loss: 1.3025
2021-10-31 21:59:17,118 - mmdet - INFO - Iter [17850/40000]	lr: 2.000e-02, eta: 11:51:30, time: 1.690, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0494, loss_cls: 0.2173, acc: 92.5454, loss_bbox: 0.2577, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1822, acc_unlabeled: 92.4247, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4976, pseudo_num_ig: 5.6249, pseudo_num_mining: 0.9384, pseudo_num(acc): 0.8827, pseudo_num ig(acc): 0.4859, loss: 1.2776
2021-10-31 22:00:41,166 - mmdet - INFO - Iter [17900/40000]	lr: 2.000e-02, eta: 11:49:39, time: 1.681, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0491, loss_cls: 0.2107, acc: 92.8265, loss_bbox: 0.2518, loss_rpn_cls_unlabeled: 0.0895, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1936, acc_unlabeled: 92.3113, loss_bbox_unlabeled: 0.1869, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4975, pseudo_num_ig: 5.6248, pseudo_num_mining: 0.9392, pseudo_num(acc): 0.8828, pseudo_num ig(acc): 0.4860, loss: 1.2928
2021-10-31 22:02:05,845 - mmdet - INFO - Iter [17950/40000]	lr: 2.000e-02, eta: 11:47:48, time: 1.692, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0487, loss_cls: 0.2193, acc: 92.4773, loss_bbox: 0.2603, loss_rpn_cls_unlabeled: 0.0828, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1858, acc_unlabeled: 92.3032, loss_bbox_unlabeled: 0.1878, losses_cls_ig_unlabeled: 0.1808, pseudo_num: 1.4974, pseudo_num_ig: 5.6247, pseudo_num_mining: 0.9399, pseudo_num(acc): 0.8828, pseudo_num ig(acc): 0.4861, loss: 1.2916
2021-10-31 22:03:31,604 - mmdet - INFO - pseudo pos: 0.98(33602.0-person) 0.93(767.0-bicycle) 0.94(5637.0-car) 0.98(1054.0-motorcycle) 1.00(602.0-airplane) 1.00(645.0-bus) 0.99(644.0-train) 0.77(1327.0-truck) 0.76(1360.0-boat) 0.93(1766.0-traffic light) 0.99(204.0-fire hydrant) 1.00(219.0-stop sign) 0.95(160.0-parking meter) 0.76(1249.0-bench) 0.93(1212.0-bird) 0.98(635.0-cat) 0.98(633.0-dog) 0.99(803.0-horse) 0.93(1272.0-sheep) 0.95(992.0-cow) 1.00(660.0-elephant) 0.99(186.0-bear) 0.98(651.0-zebra) 0.99(641.0-giraffe) 0.59(1052.0-backpack) 0.83(1441.0-umbrella) 0.54(1364.0-handbag) 0.93(678.0-tie) 0.81(712.0-suitcase) 1.00(314.0-frisbee) 0.75(811.0-skis) 0.82(296.0-snowboard) 0.98(768.0-sports ball) 0.91(1016.0-kite) 0.90(401.0-baseball bat) 0.96(427.0-baseball glove) 0.99(704.0-skateboard) 0.91(885.0-surfboard) 0.99(546.0-tennis racket) 0.89(2872.0-bottle) 0.95(968.0-wine glass) 0.90(2862.0-cup) 0.82(609.0-fork) 0.54(1076.0-knife) 0.53(775.0-spoon) 0.84(1954.0-bowl) 0.70(1241.0-banana) 0.58(651.0-apple) 0.84(631.0-sandwich) 0.67(933.0-orange) 0.71(942.0-broccoli) 0.58(986.0-carrot) 0.79(339.0-hot dog) 0.96(745.0-pizza) 0.94(854.0-donut) 0.88(750.0-cake) 0.81(4911.0-chair) 0.85(801.0-couch) 0.77(1188.0-potted plant) 0.95(535.0-bed) 0.73(2624.0-dining table) 0.96(462.0-toilet) 0.98(638.0-tv) 0.97(588.0-laptop) 0.98(259.0-mouse) 0.78(615.0-remote) 0.99(337.0-keyboard) 0.86(821.0-cell phone) 0.98(168.0-microwave) 0.91(469.0-oven) 0.27(15.0-toaster) 0.84(694.0-sink) 0.98(337.0-refrigerator) 0.36(2556.0-book) 0.99(808.0-clock) 0.91(864.0-vase) 0.76(192.0-scissors) 0.94(627.0-teddy bear) 0.00(0.0-hair drier) 0.52(213.0-toothbrush)
2021-10-31 22:03:31,605 - mmdet - INFO - pseudo ig: 0.65(122025.0-person) 0.44(2952.0-bicycle) 0.50(21226.0-car) 0.58(4189.0-motorcycle) 0.71(2137.0-airplane) 0.68(2592.0-bus) 0.62(2098.0-train) 0.36(5042.0-truck) 0.36(4973.0-boat) 0.40(6749.0-traffic light) 0.71(871.0-fire hydrant) 0.65(875.0-stop sign) 0.37(598.0-parking meter) 0.23(4582.0-bench) 0.34(4997.0-bird) 0.74(2230.0-cat) 0.67(2403.0-dog) 0.62(3047.0-horse) 0.51(5138.0-sheep) 0.52(4237.0-cow) 0.78(2632.0-elephant) 0.69(619.0-bear) 0.79(2400.0-zebra) 0.88(2217.0-giraffe) 0.23(4162.0-backpack) 0.42(5868.0-umbrella) 0.21(5904.0-handbag) 0.45(2528.0-tie) 0.41(2604.0-suitcase) 0.62(1201.0-frisbee) 0.36(2995.0-skis) 0.33(1201.0-snowboard) 0.40(3019.0-sports ball) 0.49(3616.0-kite) 0.42(1647.0-baseball bat) 0.46(1656.0-baseball glove) 0.58(2579.0-skateboard) 0.44(3206.0-surfboard) 0.67(2169.0-tennis racket) 0.43(11193.0-bottle) 0.46(3923.0-wine glass) 0.37(11666.0-cup) 0.30(2701.0-fork) 0.23(3875.0-knife) 0.19(3369.0-spoon) 0.38(8010.0-bowl) 0.28(5171.0-banana) 0.22(2901.0-apple) 0.36(2178.0-sandwich) 0.27(3452.0-orange) 0.39(3531.0-broccoli) 0.24(3856.0-carrot) 0.34(1195.0-hot dog) 0.56(2744.0-pizza) 0.42(3213.0-donut) 0.39(2887.0-cake) 0.32(18808.0-chair) 0.40(2999.0-couch) 0.37(4382.0-potted plant) 0.53(1837.0-bed) 0.37(7379.0-dining table) 0.72(1903.0-toilet) 0.62(2652.0-tv) 0.60(2407.0-laptop) 0.47(1051.0-mouse) 0.35(2738.0-remote) 0.47(1311.0-keyboard) 0.30(3143.0-cell phone) 0.58(786.0-microwave) 0.37(1679.0-oven) 0.13(30.0-toaster) 0.46(2633.0-sink) 0.48(1199.0-refrigerator) 0.19(10018.0-book) 0.63(2780.0-clock) 0.38(3599.0-vase) 0.23(693.0-scissors) 0.48(2411.0-teddy bear) 0.00(0.0-hair drier) 0.21(808.0-toothbrush)
2021-10-31 22:03:31,605 - mmdet - INFO - pseudo gt: 157905.0 4174.0 26227.0 5577.0 3159.0 3828.0 2727.0 5910.0 6134.0 7903.0 1112.0 1181.0 744.0 6099.0 6223.0 2808.0 3385.0 3897.0 5908.0 4886.0 3386.0 777.0 3329.0 3077.0 5160.0 6836.0 7403.0 4028.0 3979.0 1613.0 3900.0 1664.0 3657.0 5311.0 1930.0 2275.0 3514.0 3501.0 2940.0 14927.0 5103.0 12703.0 3443.0 4965.0 3802.0 8536.0 5492.0 3443.0 2669.0 3749.0 4649.0 4590.0 1771.0 3615.0 4188.0 3951.0 23922.0 3561.0 5432.0 2531.0 9884.0 2618.0 3524.0 3023.0 1298.0 3481.0 1685.0 3871.0 1050.0 2001.0 138.0 3390.0 1694.0 14224.0 3952.0 4023.0 797.0 2782.0 104.0 1101.0
2021-10-31 22:03:31,605 - mmdet - INFO - pseudo mining: 34716.0 131.0 3524.0 468.0 488.0 787.0 389.0 60.0 170.0 922.0 428.0 584.0 32.0 32.0 225.0 426.0 361.0 649.0 1078.0 644.0 1226.0 215.0 1339.0 1410.0 8.0 444.0 13.0 288.0 110.0 549.0 72.0 8.0 1056.0 1002.0 150.0 488.0 538.0 164.0 747.0 1212.0 395.0 1136.0 14.0 25.0 16.0 576.0 83.0 17.0 44.0 56.0 191.0 68.0 6.0 503.0 515.0 89.0 169.0 38.0 240.0 52.0 138.0 936.0 1015.0 506.0 371.0 148.0 175.0 215.0 202.0 80.0 0.0 452.0 112.0 15.0 1935.0 317.0 1.0 215.0 0.0 4.0
2021-10-31 22:04:29,332 - mmdet - INFO - Evaluating bbox...
2021-10-31 22:05:39,291 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.456 | bicycle      | 0.213 | car            | 0.364 |
| motorcycle    | 0.299 | airplane     | 0.488 | bus            | 0.530 |
| train         | 0.471 | truck        | 0.235 | boat           | 0.167 |
| traffic light | 0.231 | fire hydrant | 0.540 | stop sign      | 0.543 |
| parking meter | 0.394 | bench        | 0.163 | bird           | 0.265 |
| cat           | 0.481 | dog          | 0.441 | horse          | 0.450 |
| sheep         | 0.366 | cow          | 0.439 | elephant       | 0.487 |
| bear          | 0.575 | zebra        | 0.516 | giraffe        | 0.576 |
| backpack      | 0.102 | umbrella     | 0.258 | handbag        | 0.074 |
| tie           | 0.214 | suitcase     | 0.194 | frisbee        | 0.527 |
| skis          | 0.142 | snowboard    | 0.199 | sports ball    | 0.396 |
| kite          | 0.303 | baseball bat | 0.176 | baseball glove | 0.292 |
| skateboard    | 0.369 | surfboard    | 0.243 | tennis racket  | 0.362 |
| bottle        | 0.305 | wine glass   | 0.270 | cup            | 0.321 |
| fork          | 0.170 | knife        | 0.088 | spoon          | 0.068 |
| bowl          | 0.343 | banana       | 0.138 | apple          | 0.102 |
| sandwich      | 0.222 | orange       | 0.253 | broccoli       | 0.165 |
| carrot        | 0.094 | hot dog      | 0.182 | pizza          | 0.378 |
| donut         | 0.323 | cake         | 0.228 | chair          | 0.159 |
| couch         | 0.293 | potted plant | 0.159 | bed            | 0.308 |
| dining table  | 0.174 | toilet       | 0.463 | tv             | 0.464 |
| laptop        | 0.465 | mouse        | 0.510 | remote         | 0.181 |
| keyboard      | 0.364 | cell phone   | 0.261 | microwave      | 0.430 |
| oven          | 0.216 | toaster      | 0.252 | sink           | 0.255 |
| refrigerator  | 0.352 | book         | 0.058 | clock          | 0.429 |
| vase          | 0.282 | scissors     | 0.179 | teddy bear     | 0.331 |
| hair drier    | 0.000 | toothbrush   | 0.106 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 22:06:36,188 - mmdet - INFO - Evaluating bbox...
2021-10-31 22:07:47,259 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.476 | bicycle      | 0.238 | car            | 0.388 |
| motorcycle    | 0.347 | airplane     | 0.542 | bus            | 0.562 |
| train         | 0.511 | truck        | 0.254 | boat           | 0.198 |
| traffic light | 0.246 | fire hydrant | 0.564 | stop sign      | 0.569 |
| parking meter | 0.443 | bench        | 0.178 | bird           | 0.286 |
| cat           | 0.523 | dog          | 0.480 | horse          | 0.495 |
| sheep         | 0.407 | cow          | 0.469 | elephant       | 0.540 |
| bear          | 0.604 | zebra        | 0.555 | giraffe        | 0.599 |
| backpack      | 0.115 | umbrella     | 0.292 | handbag        | 0.087 |
| tie           | 0.232 | suitcase     | 0.224 | frisbee        | 0.571 |
| skis          | 0.155 | snowboard    | 0.218 | sports ball    | 0.393 |
| kite          | 0.326 | baseball bat | 0.201 | baseball glove | 0.295 |
| skateboard    | 0.409 | surfboard    | 0.270 | tennis racket  | 0.390 |
| bottle        | 0.323 | wine glass   | 0.289 | cup            | 0.342 |
| fork          | 0.200 | knife        | 0.104 | spoon          | 0.089 |
| bowl          | 0.366 | banana       | 0.163 | apple          | 0.129 |
| sandwich      | 0.255 | orange       | 0.270 | broccoli       | 0.189 |
| carrot        | 0.126 | hot dog      | 0.175 | pizza          | 0.408 |
| donut         | 0.346 | cake         | 0.262 | chair          | 0.187 |
| couch         | 0.325 | potted plant | 0.187 | bed            | 0.325 |
| dining table  | 0.196 | toilet       | 0.496 | tv             | 0.478 |
| laptop        | 0.497 | mouse        | 0.537 | remote         | 0.202 |
| keyboard      | 0.404 | cell phone   | 0.290 | microwave      | 0.459 |
| oven          | 0.245 | toaster      | 0.308 | sink           | 0.287 |
| refrigerator  | 0.406 | book         | 0.066 | clock          | 0.448 |
| vase          | 0.319 | scissors     | 0.191 | teddy bear     | 0.351 |
| hair drier    | 0.012 | toothbrush   | 0.142 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 22:09:16,826 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 22:09:16,827 - mmdet - INFO - Iter [18000/40000]	lr: 2.000e-02, eta: 11:46:01, time: 1.747, data_time: 0.032, memory: 26484, bbox_mAP: 0.3260, bbox_mAP_50: 0.5290, bbox_mAP_75: 0.3470, bbox_mAP_s: 0.1920, bbox_mAP_m: 0.3540, bbox_mAP_l: 0.4230, bbox_mAP_copypaste: 0.326 0.529 0.347 0.192 0.354 0.423, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0486, loss_cls: 0.2273, acc: 92.2529, loss_bbox: 0.2659, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.2029, acc_unlabeled: 92.0992, loss_bbox_unlabeled: 0.1957, losses_cls_ig_unlabeled: 0.1874, pseudo_num: 1.4975, pseudo_num_ig: 5.6250, pseudo_num_mining: 0.9408, pseudo_num(acc): 0.8829, pseudo_num ig(acc): 0.4862, loss: 1.3516
2021-10-31 22:10:40,363 - mmdet - INFO - Iter [18050/40000]	lr: 2.000e-02, eta: 11:51:07, time: 8.543, data_time: 6.904, memory: 26484, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0510, loss_cls: 0.2205, acc: 92.4701, loss_bbox: 0.2621, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1937, acc_unlabeled: 92.3029, loss_bbox_unlabeled: 0.1904, losses_cls_ig_unlabeled: 0.1839, pseudo_num: 1.4975, pseudo_num_ig: 5.6252, pseudo_num_mining: 0.9418, pseudo_num(acc): 0.8829, pseudo_num ig(acc): 0.4862, loss: 1.3150
2021-10-31 22:12:05,827 - mmdet - INFO - Iter [18100/40000]	lr: 2.000e-02, eta: 11:49:16, time: 1.708, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0515, loss_cls: 0.2210, acc: 92.5188, loss_bbox: 0.2574, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1883, acc_unlabeled: 92.2280, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1865, pseudo_num: 1.4973, pseudo_num_ig: 5.6252, pseudo_num_mining: 0.9426, pseudo_num(acc): 0.8829, pseudo_num ig(acc): 0.4863, loss: 1.2975
2021-10-31 22:13:30,496 - mmdet - INFO - Iter [18150/40000]	lr: 2.000e-02, eta: 11:47:24, time: 1.696, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0489, loss_cls: 0.2198, acc: 92.5776, loss_bbox: 0.2542, loss_rpn_cls_unlabeled: 0.0943, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.2003, acc_unlabeled: 92.1244, loss_bbox_unlabeled: 0.1878, losses_cls_ig_unlabeled: 0.1892, pseudo_num: 1.4973, pseudo_num_ig: 5.6251, pseudo_num_mining: 0.9433, pseudo_num(acc): 0.8830, pseudo_num ig(acc): 0.4863, loss: 1.3237
2021-10-31 22:14:55,287 - mmdet - INFO - Iter [18200/40000]	lr: 2.000e-02, eta: 11:45:32, time: 1.695, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0480, loss_cls: 0.2241, acc: 92.3934, loss_bbox: 0.2592, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1958, acc_unlabeled: 92.1583, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1853, pseudo_num: 1.4971, pseudo_num_ig: 5.6254, pseudo_num_mining: 0.9441, pseudo_num(acc): 0.8830, pseudo_num ig(acc): 0.4864, loss: 1.3099
2021-10-31 22:16:22,982 - mmdet - INFO - Iter [18250/40000]	lr: 2.000e-02, eta: 11:43:43, time: 1.751, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0491, loss_cls: 0.2229, acc: 92.3702, loss_bbox: 0.2611, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1848, acc_unlabeled: 92.2795, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4968, pseudo_num_ig: 5.6252, pseudo_num_mining: 0.9447, pseudo_num(acc): 0.8831, pseudo_num ig(acc): 0.4864, loss: 1.2953
2021-10-31 22:17:48,879 - mmdet - INFO - Iter [18300/40000]	lr: 2.000e-02, eta: 11:41:53, time: 1.722, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0490, loss_cls: 0.2207, acc: 92.5073, loss_bbox: 0.2562, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1978, acc_unlabeled: 92.1576, loss_bbox_unlabeled: 0.1906, losses_cls_ig_unlabeled: 0.1861, pseudo_num: 1.4966, pseudo_num_ig: 5.6253, pseudo_num_mining: 0.9456, pseudo_num(acc): 0.8831, pseudo_num ig(acc): 0.4864, loss: 1.3207
2021-10-31 22:19:13,417 - mmdet - INFO - Iter [18350/40000]	lr: 2.000e-02, eta: 11:40:01, time: 1.689, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0511, loss_cls: 0.2271, acc: 92.1906, loss_bbox: 0.2694, loss_rpn_cls_unlabeled: 0.0899, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1825, acc_unlabeled: 92.4464, loss_bbox_unlabeled: 0.1737, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4966, pseudo_num_ig: 5.6254, pseudo_num_mining: 0.9463, pseudo_num(acc): 0.8832, pseudo_num ig(acc): 0.4865, loss: 1.3008
2021-10-31 22:20:39,123 - mmdet - INFO - Iter [18400/40000]	lr: 2.000e-02, eta: 11:38:11, time: 1.712, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0491, loss_cls: 0.2171, acc: 92.5090, loss_bbox: 0.2601, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0982, loss_cls_unlabeled: 0.1874, acc_unlabeled: 92.1049, loss_bbox_unlabeled: 0.1789, losses_cls_ig_unlabeled: 0.1881, pseudo_num: 1.4963, pseudo_num_ig: 5.6261, pseudo_num_mining: 0.9470, pseudo_num(acc): 0.8832, pseudo_num ig(acc): 0.4865, loss: 1.2992
2021-10-31 22:22:05,248 - mmdet - INFO - Iter [18450/40000]	lr: 2.000e-02, eta: 11:36:21, time: 1.723, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0512, loss_cls: 0.2199, acc: 92.4250, loss_bbox: 0.2658, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1818, acc_unlabeled: 92.4170, loss_bbox_unlabeled: 0.1832, losses_cls_ig_unlabeled: 0.1770, pseudo_num: 1.4962, pseudo_num_ig: 5.6267, pseudo_num_mining: 0.9478, pseudo_num(acc): 0.8833, pseudo_num ig(acc): 0.4865, loss: 1.2929
2021-10-31 22:23:28,618 - mmdet - INFO - pseudo pos: 0.98(34490.0-person) 0.93(798.0-bicycle) 0.94(5800.0-car) 0.99(1083.0-motorcycle) 1.00(618.0-airplane) 1.00(679.0-bus) 0.99(661.0-train) 0.77(1370.0-truck) 0.76(1403.0-boat) 0.93(1815.0-traffic light) 0.99(207.0-fire hydrant) 1.00(224.0-stop sign) 0.95(162.0-parking meter) 0.76(1283.0-bench) 0.93(1247.0-bird) 0.98(649.0-cat) 0.98(651.0-dog) 0.99(824.0-horse) 0.93(1318.0-sheep) 0.95(1014.0-cow) 1.00(668.0-elephant) 0.99(194.0-bear) 0.98(666.0-zebra) 0.99(666.0-giraffe) 0.59(1085.0-backpack) 0.83(1471.0-umbrella) 0.54(1387.0-handbag) 0.93(697.0-tie) 0.81(724.0-suitcase) 1.00(320.0-frisbee) 0.75(832.0-skis) 0.82(302.0-snowboard) 0.98(781.0-sports ball) 0.91(1051.0-kite) 0.91(411.0-baseball bat) 0.96(443.0-baseball glove) 0.99(728.0-skateboard) 0.91(901.0-surfboard) 0.99(553.0-tennis racket) 0.89(2905.0-bottle) 0.95(985.0-wine glass) 0.90(2941.0-cup) 0.82(630.0-fork) 0.54(1097.0-knife) 0.54(791.0-spoon) 0.84(1989.0-bowl) 0.71(1290.0-banana) 0.58(668.0-apple) 0.84(645.0-sandwich) 0.67(954.0-orange) 0.71(981.0-broccoli) 0.58(1013.0-carrot) 0.79(348.0-hot dog) 0.96(753.0-pizza) 0.94(884.0-donut) 0.88(766.0-cake) 0.81(5029.0-chair) 0.85(817.0-couch) 0.77(1222.0-potted plant) 0.95(555.0-bed) 0.73(2677.0-dining table) 0.96(469.0-toilet) 0.98(647.0-tv) 0.97(601.0-laptop) 0.98(262.0-mouse) 0.78(626.0-remote) 0.99(347.0-keyboard) 0.86(852.0-cell phone) 0.98(169.0-microwave) 0.91(478.0-oven) 0.27(15.0-toaster) 0.84(708.0-sink) 0.98(347.0-refrigerator) 0.36(2637.0-book) 0.99(828.0-clock) 0.91(888.0-vase) 0.76(195.0-scissors) 0.94(653.0-teddy bear) 0.00(0.0-hair drier) 0.53(219.0-toothbrush)
2021-10-31 22:23:28,619 - mmdet - INFO - pseudo ig: 0.65(125410.0-person) 0.44(3051.0-bicycle) 0.50(21845.0-car) 0.58(4323.0-motorcycle) 0.71(2198.0-airplane) 0.68(2681.0-bus) 0.62(2160.0-train) 0.36(5211.0-truck) 0.36(5124.0-boat) 0.40(6932.0-traffic light) 0.71(896.0-fire hydrant) 0.66(902.0-stop sign) 0.37(609.0-parking meter) 0.22(4724.0-bench) 0.34(5121.0-bird) 0.75(2299.0-cat) 0.67(2471.0-dog) 0.62(3123.0-horse) 0.51(5240.0-sheep) 0.52(4346.0-cow) 0.78(2687.0-elephant) 0.70(631.0-bear) 0.80(2471.0-zebra) 0.88(2267.0-giraffe) 0.23(4279.0-backpack) 0.42(6001.0-umbrella) 0.21(6055.0-handbag) 0.45(2585.0-tie) 0.41(2662.0-suitcase) 0.61(1241.0-frisbee) 0.36(3086.0-skis) 0.34(1232.0-snowboard) 0.41(3098.0-sports ball) 0.49(3767.0-kite) 0.42(1691.0-baseball bat) 0.46(1699.0-baseball glove) 0.58(2648.0-skateboard) 0.44(3296.0-surfboard) 0.67(2206.0-tennis racket) 0.44(11426.0-bottle) 0.46(4051.0-wine glass) 0.37(11911.0-cup) 0.30(2781.0-fork) 0.23(3940.0-knife) 0.19(3416.0-spoon) 0.38(8228.0-bowl) 0.28(5377.0-banana) 0.22(2983.0-apple) 0.36(2234.0-sandwich) 0.27(3540.0-orange) 0.39(3719.0-broccoli) 0.24(3953.0-carrot) 0.34(1229.0-hot dog) 0.57(2817.0-pizza) 0.42(3313.0-donut) 0.39(2970.0-cake) 0.32(19348.0-chair) 0.40(3103.0-couch) 0.37(4498.0-potted plant) 0.53(1904.0-bed) 0.37(7588.0-dining table) 0.72(1946.0-toilet) 0.62(2728.0-tv) 0.60(2480.0-laptop) 0.47(1069.0-mouse) 0.35(2812.0-remote) 0.47(1344.0-keyboard) 0.30(3254.0-cell phone) 0.58(802.0-microwave) 0.37(1714.0-oven) 0.12(32.0-toaster) 0.46(2695.0-sink) 0.48(1228.0-refrigerator) 0.19(10290.0-book) 0.63(2847.0-clock) 0.38(3684.0-vase) 0.24(722.0-scissors) 0.48(2493.0-teddy bear) 0.00(0.0-hair drier) 0.21(835.0-toothbrush)
2021-10-31 22:23:28,619 - mmdet - INFO - pseudo gt: 162052.0 4330.0 26995.0 5689.0 3259.0 3952.0 2792.0 6082.0 6301.0 8157.0 1139.0 1226.0 759.0 6225.0 6376.0 2897.0 3485.0 3994.0 6076.0 5029.0 3471.0 796.0 3417.0 3162.0 5326.0 7019.0 7640.0 4135.0 4088.0 1652.0 4037.0 1712.0 3742.0 5466.0 1981.0 2340.0 3630.0 3566.0 2989.0 15261.0 5249.0 13010.0 3506.0 5048.0 3873.0 8739.0 5651.0 3523.0 2732.0 3832.0 4855.0 4730.0 1788.0 3710.0 4310.0 4061.0 24589.0 3656.0 5581.0 2625.0 10162.0 2683.0 3619.0 3101.0 1324.0 3577.0 1730.0 3996.0 1071.0 2038.0 138.0 3455.0 1732.0 14648.0 4047.0 4124.0 822.0 2866.0 109.0 1127.0
2021-10-31 22:23:28,619 - mmdet - INFO - pseudo mining: 35855.0 136.0 3687.0 486.0 510.0 824.0 398.0 63.0 182.0 963.0 441.0 609.0 37.0 33.0 235.0 442.0 379.0 668.0 1129.0 674.0 1268.0 222.0 1387.0 1447.0 9.0 458.0 15.0 298.0 115.0 569.0 74.0 10.0 1092.0 1046.0 156.0 509.0 562.0 174.0 771.0 1269.0 412.0 1184.0 14.0 25.0 16.0 590.0 86.0 17.0 48.0 56.0 206.0 69.0 6.0 528.0 546.0 91.0 177.0 43.0 249.0 56.0 140.0 964.0 1050.0 522.0 379.0 153.0 180.0 222.0 207.0 82.0 0.0 467.0 117.0 20.0 1985.0 331.0 1.0 220.0 0.0 4.0
2021-10-31 22:23:30,255 - mmdet - INFO - Iter [18500/40000]	lr: 2.000e-02, eta: 11:34:31, time: 1.702, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0495, loss_cls: 0.2183, acc: 92.4971, loss_bbox: 0.2584, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.3513, loss_bbox_unlabeled: 0.1812, losses_cls_ig_unlabeled: 0.1797, pseudo_num: 1.4961, pseudo_num_ig: 5.6265, pseudo_num_mining: 0.9484, pseudo_num(acc): 0.8833, pseudo_num ig(acc): 0.4866, loss: 1.2900
2021-10-31 22:24:53,516 - mmdet - INFO - Iter [18550/40000]	lr: 2.000e-02, eta: 11:32:38, time: 1.666, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0469, loss_cls: 0.2170, acc: 92.5499, loss_bbox: 0.2587, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1903, acc_unlabeled: 92.4331, loss_bbox_unlabeled: 0.1866, losses_cls_ig_unlabeled: 0.1797, pseudo_num: 1.4961, pseudo_num_ig: 5.6265, pseudo_num_mining: 0.9491, pseudo_num(acc): 0.8833, pseudo_num ig(acc): 0.4866, loss: 1.2988
2021-10-31 22:26:19,766 - mmdet - INFO - Iter [18600/40000]	lr: 2.000e-02, eta: 11:30:49, time: 1.725, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0469, loss_cls: 0.2218, acc: 92.4551, loss_bbox: 0.2635, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1902, acc_unlabeled: 92.4159, loss_bbox_unlabeled: 0.1830, losses_cls_ig_unlabeled: 0.1833, pseudo_num: 1.4959, pseudo_num_ig: 5.6261, pseudo_num_mining: 0.9499, pseudo_num(acc): 0.8834, pseudo_num ig(acc): 0.4867, loss: 1.2973
2021-10-31 22:27:42,628 - mmdet - INFO - Iter [18650/40000]	lr: 2.000e-02, eta: 11:28:56, time: 1.657, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0490, loss_cls: 0.2147, acc: 92.6256, loss_bbox: 0.2590, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1866, acc_unlabeled: 92.3936, loss_bbox_unlabeled: 0.1796, losses_cls_ig_unlabeled: 0.1784, pseudo_num: 1.4958, pseudo_num_ig: 5.6258, pseudo_num_mining: 0.9504, pseudo_num(acc): 0.8834, pseudo_num ig(acc): 0.4867, loss: 1.2810
2021-10-31 22:29:08,275 - mmdet - INFO - Iter [18700/40000]	lr: 2.000e-02, eta: 11:27:06, time: 1.710, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0474, loss_cls: 0.2205, acc: 92.5128, loss_bbox: 0.2565, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0899, loss_cls_unlabeled: 0.1864, acc_unlabeled: 92.3500, loss_bbox_unlabeled: 0.1769, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4956, pseudo_num_ig: 5.6254, pseudo_num_mining: 0.9510, pseudo_num(acc): 0.8834, pseudo_num ig(acc): 0.4868, loss: 1.2755
2021-10-31 22:30:34,161 - mmdet - INFO - Iter [18750/40000]	lr: 2.000e-02, eta: 11:25:17, time: 1.721, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0504, loss_cls: 0.2151, acc: 92.6224, loss_bbox: 0.2582, loss_rpn_cls_unlabeled: 0.0858, loss_rpn_bbox_unlabeled: 0.0881, loss_cls_unlabeled: 0.1885, acc_unlabeled: 92.3156, loss_bbox_unlabeled: 0.1821, losses_cls_ig_unlabeled: 0.1844, pseudo_num: 1.4955, pseudo_num_ig: 5.6250, pseudo_num_mining: 0.9515, pseudo_num(acc): 0.8834, pseudo_num ig(acc): 0.4868, loss: 1.2872
2021-10-31 22:31:59,118 - mmdet - INFO - Iter [18800/40000]	lr: 2.000e-02, eta: 11:23:27, time: 1.694, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0475, loss_cls: 0.2127, acc: 92.7394, loss_bbox: 0.2526, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1774, acc_unlabeled: 92.4475, loss_bbox_unlabeled: 0.1752, losses_cls_ig_unlabeled: 0.1757, pseudo_num: 1.4954, pseudo_num_ig: 5.6249, pseudo_num_mining: 0.9522, pseudo_num(acc): 0.8834, pseudo_num ig(acc): 0.4869, loss: 1.2533
2021-10-31 22:33:24,210 - mmdet - INFO - Iter [18850/40000]	lr: 2.000e-02, eta: 11:21:37, time: 1.701, data_time: 0.035, memory: 26484, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0495, loss_cls: 0.2245, acc: 92.3604, loss_bbox: 0.2613, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1889, acc_unlabeled: 92.3364, loss_bbox_unlabeled: 0.1874, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.4953, pseudo_num_ig: 5.6248, pseudo_num_mining: 0.9528, pseudo_num(acc): 0.8834, pseudo_num ig(acc): 0.4869, loss: 1.3091
2021-10-31 22:34:50,079 - mmdet - INFO - Iter [18900/40000]	lr: 2.000e-02, eta: 11:19:49, time: 1.720, data_time: 0.036, memory: 26484, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0485, loss_cls: 0.2205, acc: 92.4478, loss_bbox: 0.2566, loss_rpn_cls_unlabeled: 0.0823, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1871, acc_unlabeled: 92.3760, loss_bbox_unlabeled: 0.1832, losses_cls_ig_unlabeled: 0.1762, pseudo_num: 1.4953, pseudo_num_ig: 5.6246, pseudo_num_mining: 0.9534, pseudo_num(acc): 0.8835, pseudo_num ig(acc): 0.4869, loss: 1.2825
2021-10-31 22:36:15,714 - mmdet - INFO - Iter [18950/40000]	lr: 2.000e-02, eta: 11:18:00, time: 1.712, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0507, loss_cls: 0.2210, acc: 92.4839, loss_bbox: 0.2603, loss_rpn_cls_unlabeled: 0.0811, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1856, acc_unlabeled: 92.5509, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1766, pseudo_num: 1.4952, pseudo_num_ig: 5.6242, pseudo_num_mining: 0.9541, pseudo_num(acc): 0.8835, pseudo_num ig(acc): 0.4870, loss: 1.2798
2021-10-31 22:37:38,458 - mmdet - INFO - pseudo pos: 0.98(35480.0-person) 0.93(823.0-bicycle) 0.94(5945.0-car) 0.99(1111.0-motorcycle) 1.00(631.0-airplane) 1.00(707.0-bus) 0.99(683.0-train) 0.77(1408.0-truck) 0.76(1437.0-boat) 0.93(1848.0-traffic light) 0.99(211.0-fire hydrant) 1.00(228.0-stop sign) 0.95(168.0-parking meter) 0.76(1321.0-bench) 0.93(1282.0-bird) 0.98(671.0-cat) 0.98(667.0-dog) 0.99(850.0-horse) 0.94(1362.0-sheep) 0.95(1034.0-cow) 1.00(681.0-elephant) 0.99(198.0-bear) 0.99(686.0-zebra) 0.99(685.0-giraffe) 0.60(1111.0-backpack) 0.83(1497.0-umbrella) 0.55(1422.0-handbag) 0.94(713.0-tie) 0.81(737.0-suitcase) 1.00(329.0-frisbee) 0.75(850.0-skis) 0.81(313.0-snowboard) 0.98(801.0-sports ball) 0.91(1092.0-kite) 0.91(427.0-baseball bat) 0.96(453.0-baseball glove) 0.99(742.0-skateboard) 0.91(926.0-surfboard) 0.99(563.0-tennis racket) 0.89(2983.0-bottle) 0.95(998.0-wine glass) 0.90(3016.0-cup) 0.82(645.0-fork) 0.55(1121.0-knife) 0.54(811.0-spoon) 0.83(2071.0-bowl) 0.71(1326.0-banana) 0.58(680.0-apple) 0.84(657.0-sandwich) 0.67(979.0-orange) 0.71(1027.0-broccoli) 0.58(1057.0-carrot) 0.79(362.0-hot dog) 0.95(776.0-pizza) 0.94(903.0-donut) 0.88(783.0-cake) 0.81(5134.0-chair) 0.85(847.0-couch) 0.77(1251.0-potted plant) 0.96(564.0-bed) 0.73(2735.0-dining table) 0.96(481.0-toilet) 0.98(672.0-tv) 0.97(615.0-laptop) 0.98(269.0-mouse) 0.78(648.0-remote) 0.99(353.0-keyboard) 0.85(874.0-cell phone) 0.98(176.0-microwave) 0.91(492.0-oven) 0.29(17.0-toaster) 0.84(722.0-sink) 0.98(357.0-refrigerator) 0.36(2707.0-book) 0.99(859.0-clock) 0.91(907.0-vase) 0.76(195.0-scissors) 0.94(677.0-teddy bear) 0.00(0.0-hair drier) 0.53(221.0-toothbrush)
2021-10-31 22:37:38,459 - mmdet - INFO - pseudo ig: 0.65(128895.0-person) 0.45(3132.0-bicycle) 0.50(22447.0-car) 0.58(4463.0-motorcycle) 0.71(2245.0-airplane) 0.68(2755.0-bus) 0.62(2215.0-train) 0.36(5344.0-truck) 0.36(5237.0-boat) 0.40(7084.0-traffic light) 0.71(925.0-fire hydrant) 0.66(918.0-stop sign) 0.37(635.0-parking meter) 0.22(4877.0-bench) 0.35(5246.0-bird) 0.75(2361.0-cat) 0.67(2536.0-dog) 0.62(3196.0-horse) 0.52(5361.0-sheep) 0.52(4492.0-cow) 0.79(2747.0-elephant) 0.70(647.0-bear) 0.80(2551.0-zebra) 0.88(2320.0-giraffe) 0.23(4386.0-backpack) 0.43(6150.0-umbrella) 0.21(6210.0-handbag) 0.45(2645.0-tie) 0.42(2712.0-suitcase) 0.62(1277.0-frisbee) 0.36(3147.0-skis) 0.34(1263.0-snowboard) 0.41(3175.0-sports ball) 0.48(3918.0-kite) 0.42(1724.0-baseball bat) 0.46(1733.0-baseball glove) 0.59(2714.0-skateboard) 0.44(3396.0-surfboard) 0.67(2251.0-tennis racket) 0.44(11700.0-bottle) 0.47(4126.0-wine glass) 0.37(12245.0-cup) 0.30(2853.0-fork) 0.24(4053.0-knife) 0.20(3511.0-spoon) 0.38(8437.0-bowl) 0.28(5569.0-banana) 0.22(3030.0-apple) 0.36(2278.0-sandwich) 0.27(3602.0-orange) 0.39(3831.0-broccoli) 0.24(4092.0-carrot) 0.34(1287.0-hot dog) 0.57(2908.0-pizza) 0.42(3351.0-donut) 0.39(3035.0-cake) 0.32(19803.0-chair) 0.40(3170.0-couch) 0.37(4592.0-potted plant) 0.53(1964.0-bed) 0.37(7778.0-dining table) 0.73(2004.0-toilet) 0.62(2814.0-tv) 0.60(2556.0-laptop) 0.48(1088.0-mouse) 0.36(2886.0-remote) 0.47(1379.0-keyboard) 0.30(3335.0-cell phone) 0.58(825.0-microwave) 0.37(1749.0-oven) 0.11(35.0-toaster) 0.46(2763.0-sink) 0.48(1262.0-refrigerator) 0.19(10629.0-book) 0.63(2929.0-clock) 0.38(3803.0-vase) 0.24(735.0-scissors) 0.48(2564.0-teddy bear) 0.00(0.0-hair drier) 0.21(850.0-toothbrush)
2021-10-31 22:37:38,459 - mmdet - INFO - pseudo gt: 166516.0 4450.0 27735.0 5843.0 3349.0 4065.0 2850.0 6254.0 6428.0 8343.0 1173.0 1254.0 782.0 6403.0 6532.0 2988.0 3588.0 4090.0 6274.0 5170.0 3591.0 815.0 3526.0 3235.0 5520.0 7206.0 7863.0 4241.0 4171.0 1696.0 4123.0 1753.0 3848.0 5662.0 2030.0 2389.0 3718.0 3656.0 3079.0 15677.0 5350.0 13335.0 3574.0 5194.0 3965.0 9031.0 5816.0 3607.0 2817.0 3908.0 5040.0 4896.0 1848.0 3854.0 4395.0 4141.0 25145.0 3760.0 5760.0 2686.0 10416.0 2776.0 3728.0 3188.0 1358.0 3669.0 1772.0 4080.0 1103.0 2090.0 140.0 3535.0 1779.0 15128.0 4169.0 4248.0 836.0 2951.0 110.0 1157.0
2021-10-31 22:37:38,459 - mmdet - INFO - pseudo mining: 37036.0 143.0 3826.0 509.0 531.0 850.0 408.0 64.0 185.0 989.0 459.0 621.0 38.0 34.0 241.0 456.0 395.0 685.0 1171.0 729.0 1316.0 232.0 1431.0 1487.0 11.0 478.0 18.0 309.0 117.0 587.0 80.0 10.0 1121.0 1084.0 157.0 513.0 592.0 182.0 799.0 1324.0 428.0 1259.0 14.0 27.0 16.0 622.0 91.0 17.0 52.0 57.0 208.0 72.0 7.0 554.0 560.0 95.0 182.0 46.0 254.0 64.0 143.0 1003.0 1091.0 542.0 390.0 157.0 188.0 228.0 213.0 85.0 0.0 483.0 121.0 23.0 2044.0 347.0 1.0 224.0 0.0 4.0
2021-10-31 22:39:11,671 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 22:39:11,672 - mmdet - INFO - Iter [19000/40000]	lr: 2.000e-02, eta: 11:16:09, time: 1.687, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0486, loss_cls: 0.2190, acc: 92.5596, loss_bbox: 0.2578, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.2003, acc_unlabeled: 92.2031, loss_bbox_unlabeled: 0.1904, losses_cls_ig_unlabeled: 0.1832, pseudo_num: 1.4952, pseudo_num_ig: 5.6241, pseudo_num_mining: 0.9548, pseudo_num(acc): 0.8836, pseudo_num ig(acc): 0.4871, loss: 1.3082
2021-10-31 22:40:35,890 - mmdet - INFO - Iter [19050/40000]	lr: 2.000e-02, eta: 11:16:00, time: 3.520, data_time: 1.867, memory: 26484, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0471, loss_cls: 0.2128, acc: 92.7396, loss_bbox: 0.2529, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1780, acc_unlabeled: 92.4751, loss_bbox_unlabeled: 0.1767, losses_cls_ig_unlabeled: 0.1789, pseudo_num: 1.4952, pseudo_num_ig: 5.6238, pseudo_num_mining: 0.9555, pseudo_num(acc): 0.8836, pseudo_num ig(acc): 0.4871, loss: 1.2565
2021-10-31 22:42:00,512 - mmdet - INFO - Iter [19100/40000]	lr: 2.000e-02, eta: 11:14:10, time: 1.691, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0482, loss_cls: 0.2143, acc: 92.6586, loss_bbox: 0.2550, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1833, acc_unlabeled: 92.3126, loss_bbox_unlabeled: 0.1781, losses_cls_ig_unlabeled: 0.1815, pseudo_num: 1.4952, pseudo_num_ig: 5.6239, pseudo_num_mining: 0.9561, pseudo_num(acc): 0.8836, pseudo_num ig(acc): 0.4872, loss: 1.2787
2021-10-31 22:43:24,573 - mmdet - INFO - Iter [19150/40000]	lr: 2.000e-02, eta: 11:12:19, time: 1.683, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0522, loss_cls: 0.2262, acc: 92.3439, loss_bbox: 0.2643, loss_rpn_cls_unlabeled: 0.0902, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1959, acc_unlabeled: 92.0890, loss_bbox_unlabeled: 0.1878, losses_cls_ig_unlabeled: 0.1862, pseudo_num: 1.4952, pseudo_num_ig: 5.6245, pseudo_num_mining: 0.9567, pseudo_num(acc): 0.8836, pseudo_num ig(acc): 0.4872, loss: 1.3316
2021-10-31 22:44:50,452 - mmdet - INFO - Iter [19200/40000]	lr: 2.000e-02, eta: 11:10:31, time: 1.716, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0499, loss_cls: 0.2223, acc: 92.4237, loss_bbox: 0.2623, loss_rpn_cls_unlabeled: 0.0909, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1957, acc_unlabeled: 92.2278, loss_bbox_unlabeled: 0.1910, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.4954, pseudo_num_ig: 5.6250, pseudo_num_mining: 0.9574, pseudo_num(acc): 0.8836, pseudo_num ig(acc): 0.4872, loss: 1.3237
2021-10-31 22:46:15,646 - mmdet - INFO - Iter [19250/40000]	lr: 2.000e-02, eta: 11:08:42, time: 1.704, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0498, loss_cls: 0.2193, acc: 92.4492, loss_bbox: 0.2615, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1888, acc_unlabeled: 92.1808, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1799, pseudo_num: 1.4955, pseudo_num_ig: 5.6254, pseudo_num_mining: 0.9580, pseudo_num(acc): 0.8836, pseudo_num ig(acc): 0.4872, loss: 1.2989
2021-10-31 22:47:41,190 - mmdet - INFO - Iter [19300/40000]	lr: 2.000e-02, eta: 11:06:53, time: 1.710, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0487, loss_cls: 0.2181, acc: 92.5978, loss_bbox: 0.2549, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1908, acc_unlabeled: 92.3425, loss_bbox_unlabeled: 0.1852, losses_cls_ig_unlabeled: 0.1812, pseudo_num: 1.4955, pseudo_num_ig: 5.6259, pseudo_num_mining: 0.9587, pseudo_num(acc): 0.8837, pseudo_num ig(acc): 0.4872, loss: 1.3011
2021-10-31 22:49:06,758 - mmdet - INFO - Iter [19350/40000]	lr: 2.000e-02, eta: 11:05:04, time: 1.709, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0471, loss_cls: 0.2142, acc: 92.6324, loss_bbox: 0.2570, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.0954, loss_cls_unlabeled: 0.1861, acc_unlabeled: 92.2578, loss_bbox_unlabeled: 0.1786, losses_cls_ig_unlabeled: 0.1823, pseudo_num: 1.4955, pseudo_num_ig: 5.6262, pseudo_num_mining: 0.9594, pseudo_num(acc): 0.8837, pseudo_num ig(acc): 0.4872, loss: 1.2810
2021-10-31 22:50:33,001 - mmdet - INFO - Iter [19400/40000]	lr: 2.000e-02, eta: 11:03:17, time: 1.727, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0477, loss_cls: 0.2182, acc: 92.6353, loss_bbox: 0.2524, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1926, acc_unlabeled: 92.0990, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1866, pseudo_num: 1.4954, pseudo_num_ig: 5.6263, pseudo_num_mining: 0.9601, pseudo_num(acc): 0.8837, pseudo_num ig(acc): 0.4872, loss: 1.3020
2021-10-31 22:51:56,974 - mmdet - INFO - Iter [19450/40000]	lr: 2.000e-02, eta: 11:01:27, time: 1.678, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0464, loss_cls: 0.2171, acc: 92.5745, loss_bbox: 0.2579, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1921, acc_unlabeled: 91.8116, loss_bbox_unlabeled: 0.1840, losses_cls_ig_unlabeled: 0.1909, pseudo_num: 1.4955, pseudo_num_ig: 5.6274, pseudo_num_mining: 0.9608, pseudo_num(acc): 0.8838, pseudo_num ig(acc): 0.4873, loss: 1.3105
2021-10-31 22:53:19,955 - mmdet - INFO - pseudo pos: 0.98(36443.0-person) 0.93(852.0-bicycle) 0.94(6093.0-car) 0.99(1132.0-motorcycle) 1.00(645.0-airplane) 1.00(727.0-bus) 0.99(698.0-train) 0.77(1445.0-truck) 0.76(1453.0-boat) 0.93(1925.0-traffic light) 0.99(212.0-fire hydrant) 1.00(232.0-stop sign) 0.95(173.0-parking meter) 0.76(1353.0-bench) 0.93(1314.0-bird) 0.98(698.0-cat) 0.98(683.0-dog) 0.99(867.0-horse) 0.94(1419.0-sheep) 0.95(1058.0-cow) 1.00(694.0-elephant) 1.00(203.0-bear) 0.99(698.0-zebra) 0.99(699.0-giraffe) 0.60(1141.0-backpack) 0.84(1568.0-umbrella) 0.55(1483.0-handbag) 0.94(726.0-tie) 0.81(750.0-suitcase) 1.00(335.0-frisbee) 0.75(869.0-skis) 0.82(324.0-snowboard) 0.98(824.0-sports ball) 0.91(1114.0-kite) 0.90(435.0-baseball bat) 0.97(463.0-baseball glove) 0.99(756.0-skateboard) 0.91(950.0-surfboard) 0.99(576.0-tennis racket) 0.89(3070.0-bottle) 0.95(1035.0-wine glass) 0.90(3100.0-cup) 0.82(658.0-fork) 0.55(1148.0-knife) 0.54(824.0-spoon) 0.84(2130.0-bowl) 0.70(1387.0-banana) 0.58(689.0-apple) 0.85(671.0-sandwich) 0.67(1004.0-orange) 0.71(1041.0-broccoli) 0.57(1089.0-carrot) 0.80(372.0-hot dog) 0.95(791.0-pizza) 0.93(955.0-donut) 0.88(812.0-cake) 0.81(5258.0-chair) 0.85(864.0-couch) 0.77(1277.0-potted plant) 0.96(577.0-bed) 0.73(2796.0-dining table) 0.96(496.0-toilet) 0.98(690.0-tv) 0.97(632.0-laptop) 0.98(275.0-mouse) 0.78(667.0-remote) 0.99(360.0-keyboard) 0.85(888.0-cell phone) 0.98(182.0-microwave) 0.91(507.0-oven) 0.29(17.0-toaster) 0.84(744.0-sink) 0.98(368.0-refrigerator) 0.36(2796.0-book) 0.99(882.0-clock) 0.91(933.0-vase) 0.76(197.0-scissors) 0.94(689.0-teddy bear) 0.00(0.0-hair drier) 0.53(223.0-toothbrush)
2021-10-31 22:53:19,956 - mmdet - INFO - pseudo ig: 0.65(132308.0-person) 0.45(3256.0-bicycle) 0.50(22978.0-car) 0.58(4584.0-motorcycle) 0.72(2293.0-airplane) 0.68(2804.0-bus) 0.62(2262.0-train) 0.36(5494.0-truck) 0.36(5349.0-boat) 0.40(7308.0-traffic light) 0.72(946.0-fire hydrant) 0.66(947.0-stop sign) 0.37(652.0-parking meter) 0.22(5000.0-bench) 0.35(5356.0-bird) 0.75(2407.0-cat) 0.67(2604.0-dog) 0.62(3264.0-horse) 0.52(5547.0-sheep) 0.52(4581.0-cow) 0.78(2818.0-elephant) 0.70(668.0-bear) 0.80(2626.0-zebra) 0.88(2372.0-giraffe) 0.24(4505.0-backpack) 0.43(6324.0-umbrella) 0.21(6405.0-handbag) 0.45(2742.0-tie) 0.41(2766.0-suitcase) 0.62(1306.0-frisbee) 0.36(3248.0-skis) 0.34(1300.0-snowboard) 0.41(3249.0-sports ball) 0.49(3972.0-kite) 0.42(1770.0-baseball bat) 0.46(1773.0-baseball glove) 0.59(2814.0-skateboard) 0.44(3496.0-surfboard) 0.68(2321.0-tennis racket) 0.44(11917.0-bottle) 0.47(4264.0-wine glass) 0.37(12548.0-cup) 0.30(2902.0-fork) 0.24(4133.0-knife) 0.19(3587.0-spoon) 0.38(8678.0-bowl) 0.28(5774.0-banana) 0.22(3071.0-apple) 0.36(2322.0-sandwich) 0.27(3695.0-orange) 0.39(3910.0-broccoli) 0.24(4169.0-carrot) 0.34(1319.0-hot dog) 0.57(2975.0-pizza) 0.42(3456.0-donut) 0.39(3138.0-cake) 0.32(20344.0-chair) 0.40(3269.0-couch) 0.37(4709.0-potted plant) 0.53(2001.0-bed) 0.37(7978.0-dining table) 0.72(2085.0-toilet) 0.62(2889.0-tv) 0.60(2630.0-laptop) 0.48(1112.0-mouse) 0.36(2970.0-remote) 0.48(1412.0-keyboard) 0.30(3419.0-cell phone) 0.58(839.0-microwave) 0.37(1793.0-oven) 0.11(37.0-toaster) 0.46(2854.0-sink) 0.47(1304.0-refrigerator) 0.19(10893.0-book) 0.63(3045.0-clock) 0.39(3919.0-vase) 0.23(750.0-scissors) 0.48(2631.0-teddy bear) 0.00(0.0-hair drier) 0.21(870.0-toothbrush)
2021-10-31 22:53:19,956 - mmdet - INFO - pseudo gt: 170658.0 4592.0 28385.0 5961.0 3432.0 4137.0 2921.0 6413.0 6569.0 8539.0 1201.0 1289.0 806.0 6576.0 6732.0 3056.0 3672.0 4159.0 6468.0 5281.0 3677.0 842.0 3624.0 3314.0 5669.0 7424.0 8060.0 4348.0 4243.0 1750.0 4262.0 1803.0 3967.0 5764.0 2065.0 2443.0 3835.0 3772.0 3171.0 16031.0 5530.0 13635.0 3647.0 5336.0 4060.0 9263.0 5994.0 3691.0 2867.0 3984.0 5134.0 4995.0 1896.0 3923.0 4519.0 4274.0 25745.0 3854.0 5906.0 2754.0 10647.0 2861.0 3834.0 3276.0 1398.0 3766.0 1813.0 4165.0 1135.0 2154.0 145.0 3637.0 1818.0 15623.0 4303.0 4397.0 853.0 3027.0 115.0 1173.0
2021-10-31 22:53:19,956 - mmdet - INFO - pseudo mining: 38226.0 149.0 3927.0 534.0 559.0 868.0 425.0 69.0 189.0 1018.0 474.0 646.0 39.0 35.0 257.0 468.0 412.0 700.0 1219.0 751.0 1354.0 244.0 1487.0 1534.0 11.0 496.0 18.0 319.0 120.0 605.0 81.0 10.0 1151.0 1103.0 160.0 534.0 616.0 186.0 836.0 1356.0 449.0 1294.0 14.0 27.0 17.0 644.0 95.0 18.0 54.0 60.0 230.0 72.0 9.0 575.0 578.0 100.0 191.0 49.0 265.0 65.0 150.0 1038.0 1134.0 556.0 404.0 166.0 195.0 240.0 220.0 95.0 0.0 499.0 125.0 25.0 2124.0 367.0 1.0 231.0 0.0 4.0
2021-10-31 22:53:21,480 - mmdet - INFO - Iter [19500/40000]	lr: 2.000e-02, eta: 10:59:38, time: 1.694, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0492, loss_cls: 0.2157, acc: 92.5555, loss_bbox: 0.2533, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0951, loss_cls_unlabeled: 0.1900, acc_unlabeled: 92.0272, loss_bbox_unlabeled: 0.1843, losses_cls_ig_unlabeled: 0.1877, pseudo_num: 1.4957, pseudo_num_ig: 5.6283, pseudo_num_mining: 0.9614, pseudo_num(acc): 0.8838, pseudo_num ig(acc): 0.4872, loss: 1.2962
2021-10-31 22:54:46,993 - mmdet - INFO - Iter [19550/40000]	lr: 2.000e-02, eta: 10:57:50, time: 1.706, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0476, loss_cls: 0.2166, acc: 92.5350, loss_bbox: 0.2591, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1861, acc_unlabeled: 92.3573, loss_bbox_unlabeled: 0.1841, losses_cls_ig_unlabeled: 0.1750, pseudo_num: 1.4957, pseudo_num_ig: 5.6287, pseudo_num_mining: 0.9620, pseudo_num(acc): 0.8838, pseudo_num ig(acc): 0.4873, loss: 1.2846
2021-10-31 22:56:12,892 - mmdet - INFO - Iter [19600/40000]	lr: 2.000e-02, eta: 10:56:02, time: 1.723, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0483, loss_cls: 0.2184, acc: 92.5187, loss_bbox: 0.2580, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1869, acc_unlabeled: 91.9930, loss_bbox_unlabeled: 0.1797, losses_cls_ig_unlabeled: 0.1879, pseudo_num: 1.4958, pseudo_num_ig: 5.6293, pseudo_num_mining: 0.9625, pseudo_num(acc): 0.8838, pseudo_num ig(acc): 0.4873, loss: 1.2929
2021-10-31 22:57:37,864 - mmdet - INFO - Iter [19650/40000]	lr: 2.000e-02, eta: 10:54:14, time: 1.698, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0501, loss_cls: 0.2113, acc: 92.7607, loss_bbox: 0.2524, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1927, acc_unlabeled: 92.3198, loss_bbox_unlabeled: 0.1845, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4956, pseudo_num_ig: 5.6294, pseudo_num_mining: 0.9631, pseudo_num(acc): 0.8838, pseudo_num ig(acc): 0.4873, loss: 1.2844
2021-10-31 22:59:02,803 - mmdet - INFO - Iter [19700/40000]	lr: 2.000e-02, eta: 10:52:25, time: 1.698, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0486, loss_cls: 0.2226, acc: 92.4337, loss_bbox: 0.2595, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1907, acc_unlabeled: 92.2520, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1836, pseudo_num: 1.4958, pseudo_num_ig: 5.6301, pseudo_num_mining: 0.9638, pseudo_num(acc): 0.8838, pseudo_num ig(acc): 0.4873, loss: 1.3061
2021-10-31 23:00:29,680 - mmdet - INFO - Iter [19750/40000]	lr: 2.000e-02, eta: 10:50:39, time: 1.737, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0481, loss_cls: 0.2147, acc: 92.6151, loss_bbox: 0.2590, loss_rpn_cls_unlabeled: 0.0888, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1885, acc_unlabeled: 92.2128, loss_bbox_unlabeled: 0.1832, losses_cls_ig_unlabeled: 0.1870, pseudo_num: 1.4956, pseudo_num_ig: 5.6302, pseudo_num_mining: 0.9643, pseudo_num(acc): 0.8839, pseudo_num ig(acc): 0.4873, loss: 1.2977
2021-10-31 23:01:54,294 - mmdet - INFO - Iter [19800/40000]	lr: 2.000e-02, eta: 10:48:51, time: 1.691, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0479, loss_cls: 0.2158, acc: 92.6133, loss_bbox: 0.2572, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1931, acc_unlabeled: 92.1266, loss_bbox_unlabeled: 0.1908, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4956, pseudo_num_ig: 5.6307, pseudo_num_mining: 0.9650, pseudo_num(acc): 0.8839, pseudo_num ig(acc): 0.4873, loss: 1.2961
2021-10-31 23:03:20,732 - mmdet - INFO - Iter [19850/40000]	lr: 2.000e-02, eta: 10:47:04, time: 1.731, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0463, loss_cls: 0.2095, acc: 92.8531, loss_bbox: 0.2440, loss_rpn_cls_unlabeled: 0.0885, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1857, acc_unlabeled: 92.3171, loss_bbox_unlabeled: 0.1791, losses_cls_ig_unlabeled: 0.1843, pseudo_num: 1.4955, pseudo_num_ig: 5.6307, pseudo_num_mining: 0.9655, pseudo_num(acc): 0.8839, pseudo_num ig(acc): 0.4874, loss: 1.2644
2021-10-31 23:04:45,245 - mmdet - INFO - Iter [19900/40000]	lr: 2.000e-02, eta: 10:45:16, time: 1.688, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0508, loss_cls: 0.2227, acc: 92.4456, loss_bbox: 0.2617, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1902, acc_unlabeled: 92.4733, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1771, pseudo_num: 1.4954, pseudo_num_ig: 5.6308, pseudo_num_mining: 0.9662, pseudo_num(acc): 0.8839, pseudo_num ig(acc): 0.4874, loss: 1.3033
2021-10-31 23:06:10,666 - mmdet - INFO - Iter [19950/40000]	lr: 2.000e-02, eta: 10:43:29, time: 1.709, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0476, loss_cls: 0.2100, acc: 92.8523, loss_bbox: 0.2469, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1873, acc_unlabeled: 92.2031, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1846, pseudo_num: 1.4954, pseudo_num_ig: 5.6315, pseudo_num_mining: 0.9669, pseudo_num(acc): 0.8839, pseudo_num ig(acc): 0.4875, loss: 1.2764
2021-10-31 23:07:33,360 - mmdet - INFO - pseudo pos: 0.98(37442.0-person) 0.93(877.0-bicycle) 0.94(6265.0-car) 0.98(1147.0-motorcycle) 1.00(653.0-airplane) 1.00(742.0-bus) 0.99(716.0-train) 0.77(1486.0-truck) 0.77(1480.0-boat) 0.93(1980.0-traffic light) 0.99(221.0-fire hydrant) 1.00(236.0-stop sign) 0.95(182.0-parking meter) 0.76(1406.0-bench) 0.93(1344.0-bird) 0.98(717.0-cat) 0.98(711.0-dog) 0.99(890.0-horse) 0.94(1436.0-sheep) 0.95(1075.0-cow) 1.00(714.0-elephant) 1.00(210.0-bear) 0.99(716.0-zebra) 0.99(711.0-giraffe) 0.60(1187.0-backpack) 0.84(1597.0-umbrella) 0.55(1531.0-handbag) 0.94(742.0-tie) 0.81(765.0-suitcase) 1.00(351.0-frisbee) 0.75(897.0-skis) 0.81(334.0-snowboard) 0.98(846.0-sports ball) 0.91(1139.0-kite) 0.90(442.0-baseball bat) 0.97(474.0-baseball glove) 0.99(778.0-skateboard) 0.91(980.0-surfboard) 0.99(585.0-tennis racket) 0.89(3141.0-bottle) 0.95(1058.0-wine glass) 0.90(3184.0-cup) 0.83(676.0-fork) 0.56(1171.0-knife) 0.54(842.0-spoon) 0.84(2189.0-bowl) 0.70(1435.0-banana) 0.58(703.0-apple) 0.85(691.0-sandwich) 0.67(1039.0-orange) 0.71(1053.0-broccoli) 0.58(1117.0-carrot) 0.80(383.0-hot dog) 0.95(807.0-pizza) 0.93(970.0-donut) 0.88(849.0-cake) 0.80(5406.0-chair) 0.85(888.0-couch) 0.77(1293.0-potted plant) 0.96(599.0-bed) 0.73(2863.0-dining table) 0.96(506.0-toilet) 0.98(706.0-tv) 0.97(651.0-laptop) 0.98(281.0-mouse) 0.78(677.0-remote) 0.99(365.0-keyboard) 0.85(907.0-cell phone) 0.98(187.0-microwave) 0.91(522.0-oven) 0.29(21.0-toaster) 0.84(760.0-sink) 0.98(375.0-refrigerator) 0.36(2865.0-book) 0.99(902.0-clock) 0.91(954.0-vase) 0.76(201.0-scissors) 0.94(709.0-teddy bear) 0.00(0.0-hair drier) 0.53(230.0-toothbrush)
2021-10-31 23:07:33,361 - mmdet - INFO - pseudo ig: 0.65(135818.0-person) 0.44(3372.0-bicycle) 0.50(23522.0-car) 0.58(4699.0-motorcycle) 0.72(2338.0-airplane) 0.68(2884.0-bus) 0.62(2311.0-train) 0.36(5628.0-truck) 0.36(5487.0-boat) 0.40(7514.0-traffic light) 0.72(986.0-fire hydrant) 0.66(969.0-stop sign) 0.37(667.0-parking meter) 0.22(5169.0-bench) 0.35(5449.0-bird) 0.75(2472.0-cat) 0.67(2644.0-dog) 0.62(3336.0-horse) 0.51(5686.0-sheep) 0.52(4681.0-cow) 0.78(2927.0-elephant) 0.70(694.0-bear) 0.80(2700.0-zebra) 0.88(2460.0-giraffe) 0.24(4654.0-backpack) 0.43(6478.0-umbrella) 0.21(6571.0-handbag) 0.45(2816.0-tie) 0.42(2844.0-suitcase) 0.61(1337.0-frisbee) 0.36(3365.0-skis) 0.33(1344.0-snowboard) 0.41(3327.0-sports ball) 0.48(4054.0-kite) 0.42(1820.0-baseball bat) 0.47(1818.0-baseball glove) 0.59(2899.0-skateboard) 0.44(3598.0-surfboard) 0.68(2373.0-tennis racket) 0.44(12176.0-bottle) 0.47(4385.0-wine glass) 0.37(12888.0-cup) 0.30(2971.0-fork) 0.24(4223.0-knife) 0.20(3687.0-spoon) 0.38(8925.0-bowl) 0.28(5908.0-banana) 0.22(3127.0-apple) 0.36(2383.0-sandwich) 0.27(3833.0-orange) 0.39(3991.0-broccoli) 0.24(4250.0-carrot) 0.34(1372.0-hot dog) 0.56(3066.0-pizza) 0.42(3590.0-donut) 0.39(3218.0-cake) 0.32(20919.0-chair) 0.40(3366.0-couch) 0.37(4830.0-potted plant) 0.53(2045.0-bed) 0.37(8180.0-dining table) 0.72(2147.0-toilet) 0.62(2968.0-tv) 0.59(2721.0-laptop) 0.48(1132.0-mouse) 0.36(3061.0-remote) 0.48(1440.0-keyboard) 0.30(3483.0-cell phone) 0.59(855.0-microwave) 0.38(1852.0-oven) 0.14(43.0-toaster) 0.46(2927.0-sink) 0.48(1327.0-refrigerator) 0.19(11193.0-book) 0.63(3137.0-clock) 0.39(3982.0-vase) 0.23(764.0-scissors) 0.48(2690.0-teddy bear) 0.00(0.0-hair drier) 0.22(905.0-toothbrush)
2021-10-31 23:07:33,361 - mmdet - INFO - pseudo gt: 175054.0 4706.0 29066.0 6072.0 3506.0 4218.0 2985.0 6582.0 6754.0 8765.0 1258.0 1323.0 825.0 6749.0 6890.0 3127.0 3763.0 4267.0 6553.0 5419.0 3804.0 877.0 3719.0 3434.0 5835.0 7604.0 8232.0 4453.0 4361.0 1797.0 4388.0 1853.0 4079.0 5866.0 2160.0 2513.0 3935.0 3903.0 3248.0 16469.0 5666.0 14018.0 3738.0 5491.0 4171.0 9570.0 6148.0 3790.0 2938.0 4107.0 5233.0 5111.0 1977.0 4018.0 4647.0 4422.0 26402.0 3947.0 6056.0 2828.0 10910.0 2928.0 3939.0 3390.0 1430.0 3883.0 1860.0 4246.0 1168.0 2227.0 149.0 3727.0 1861.0 16058.0 4425.0 4490.0 893.0 3096.0 117.0 1217.0
2021-10-31 23:07:33,361 - mmdet - INFO - pseudo mining: 39430.0 154.0 4050.0 553.0 584.0 893.0 442.0 69.0 193.0 1057.0 496.0 663.0 40.0 35.0 268.0 483.0 418.0 715.0 1252.0 779.0 1418.0 258.0 1548.0 1609.0 12.0 513.0 19.0 325.0 127.0 620.0 81.0 10.0 1184.0 1130.0 172.0 554.0 641.0 197.0 868.0 1391.0 470.0 1349.0 17.0 27.0 18.0 669.0 96.0 18.0 54.0 63.0 248.0 74.0 13.0 597.0 627.0 104.0 196.0 52.0 275.0 66.0 157.0 1070.0 1169.0 575.0 418.0 172.0 206.0 246.0 230.0 102.0 0.0 513.0 129.0 26.0 2183.0 378.0 1.0 238.0 0.0 4.0
2021-10-31 23:07:34,919 - mmdet - INFO - Saving checkpoint at 20000 iterations
2021-10-31 23:08:31,504 - mmdet - INFO - Evaluating bbox...
2021-10-31 23:09:41,610 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.456 | bicycle      | 0.207 | car            | 0.372 |
| motorcycle    | 0.325 | airplane     | 0.500 | bus            | 0.520 |
| train         | 0.468 | truck        | 0.238 | boat           | 0.188 |
| traffic light | 0.225 | fire hydrant | 0.543 | stop sign      | 0.574 |
| parking meter | 0.369 | bench        | 0.160 | bird           | 0.258 |
| cat           | 0.508 | dog          | 0.422 | horse          | 0.475 |
| sheep         | 0.360 | cow          | 0.444 | elephant       | 0.513 |
| bear          | 0.540 | zebra        | 0.572 | giraffe        | 0.566 |
| backpack      | 0.095 | umbrella     | 0.248 | handbag        | 0.076 |
| tie           | 0.222 | suitcase     | 0.200 | frisbee        | 0.522 |
| skis          | 0.145 | snowboard    | 0.200 | sports ball    | 0.355 |
| kite          | 0.308 | baseball bat | 0.186 | baseball glove | 0.281 |
| skateboard    | 0.365 | surfboard    | 0.257 | tennis racket  | 0.358 |
| bottle        | 0.304 | wine glass   | 0.262 | cup            | 0.335 |
| fork          | 0.145 | knife        | 0.080 | spoon          | 0.081 |
| bowl          | 0.339 | banana       | 0.152 | apple          | 0.112 |
| sandwich      | 0.230 | orange       | 0.243 | broccoli       | 0.170 |
| carrot        | 0.107 | hot dog      | 0.159 | pizza          | 0.409 |
| donut         | 0.307 | cake         | 0.222 | chair          | 0.167 |
| couch         | 0.318 | potted plant | 0.177 | bed            | 0.292 |
| dining table  | 0.186 | toilet       | 0.465 | tv             | 0.460 |
| laptop        | 0.479 | mouse        | 0.519 | remote         | 0.179 |
| keyboard      | 0.378 | cell phone   | 0.267 | microwave      | 0.402 |
| oven          | 0.244 | toaster      | 0.157 | sink           | 0.251 |
| refrigerator  | 0.389 | book         | 0.057 | clock          | 0.427 |
| vase          | 0.295 | scissors     | 0.192 | teddy bear     | 0.328 |
| hair drier    | 0.017 | toothbrush   | 0.085 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 23:10:39,648 - mmdet - INFO - Evaluating bbox...
2021-10-31 23:11:48,995 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.479 | bicycle      | 0.235 | car            | 0.394 |
| motorcycle    | 0.348 | airplane     | 0.539 | bus            | 0.566 |
| train         | 0.515 | truck        | 0.251 | boat           | 0.213 |
| traffic light | 0.245 | fire hydrant | 0.566 | stop sign      | 0.601 |
| parking meter | 0.426 | bench        | 0.176 | bird           | 0.284 |
| cat           | 0.544 | dog          | 0.469 | horse          | 0.490 |
| sheep         | 0.398 | cow          | 0.480 | elephant       | 0.540 |
| bear          | 0.614 | zebra        | 0.572 | giraffe        | 0.594 |
| backpack      | 0.116 | umbrella     | 0.291 | handbag        | 0.091 |
| tie           | 0.242 | suitcase     | 0.226 | frisbee        | 0.562 |
| skis          | 0.161 | snowboard    | 0.226 | sports ball    | 0.397 |
| kite          | 0.323 | baseball bat | 0.214 | baseball glove | 0.301 |
| skateboard    | 0.402 | surfboard    | 0.283 | tennis racket  | 0.386 |
| bottle        | 0.326 | wine glass   | 0.284 | cup            | 0.346 |
| fork          | 0.208 | knife        | 0.113 | spoon          | 0.092 |
| bowl          | 0.360 | banana       | 0.174 | apple          | 0.125 |
| sandwich      | 0.275 | orange       | 0.258 | broccoli       | 0.187 |
| carrot        | 0.131 | hot dog      | 0.199 | pizza          | 0.425 |
| donut         | 0.338 | cake         | 0.264 | chair          | 0.194 |
| couch         | 0.335 | potted plant | 0.188 | bed            | 0.336 |
| dining table  | 0.191 | toilet       | 0.511 | tv             | 0.488 |
| laptop        | 0.507 | mouse        | 0.542 | remote         | 0.200 |
| keyboard      | 0.410 | cell phone   | 0.293 | microwave      | 0.472 |
| oven          | 0.259 | toaster      | 0.300 | sink           | 0.284 |
| refrigerator  | 0.412 | book         | 0.071 | clock          | 0.440 |
| vase          | 0.324 | scissors     | 0.229 | teddy bear     | 0.361 |
| hair drier    | 0.010 | toothbrush   | 0.129 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-10-31 23:13:17,935 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 23:13:17,935 - mmdet - INFO - Iter [20000/40000]	lr: 2.000e-02, eta: 10:41:41, time: 1.702, data_time: 0.031, memory: 26484, bbox_mAP: 0.3290, bbox_mAP_50: 0.5320, bbox_mAP_75: 0.3550, bbox_mAP_s: 0.1960, bbox_mAP_m: 0.3590, bbox_mAP_l: 0.4310, bbox_mAP_copypaste: 0.329 0.532 0.355 0.196 0.359 0.431, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0494, loss_cls: 0.2151, acc: 92.5999, loss_bbox: 0.2600, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1854, acc_unlabeled: 92.1410, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1787, pseudo_num: 1.4954, pseudo_num_ig: 5.6315, pseudo_num_mining: 0.9673, pseudo_num(acc): 0.8840, pseudo_num ig(acc): 0.4875, loss: 1.2820
2021-10-31 23:14:42,598 - mmdet - INFO - Iter [20050/40000]	lr: 2.000e-02, eta: 10:45:34, time: 8.538, data_time: 6.873, memory: 26484, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0477, loss_cls: 0.2141, acc: 92.7191, loss_bbox: 0.2522, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1882, acc_unlabeled: 92.2452, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1812, pseudo_num: 1.4955, pseudo_num_ig: 5.6318, pseudo_num_mining: 0.9678, pseudo_num(acc): 0.8840, pseudo_num ig(acc): 0.4875, loss: 1.2795
2021-10-31 23:17:25,042 - mmdet - INFO - Iter [20100/40000]	lr: 2.000e-02, eta: 10:45:02, time: 3.249, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0469, loss_cls: 0.2108, acc: 92.7208, loss_bbox: 0.2527, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.2024, loss_bbox_unlabeled: 0.1807, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4955, pseudo_num_ig: 5.6321, pseudo_num_mining: 0.9684, pseudo_num(acc): 0.8840, pseudo_num ig(acc): 0.4875, loss: 1.2814
2021-10-31 23:18:48,392 - mmdet - INFO - Iter [20150/40000]	lr: 2.000e-02, eta: 10:43:11, time: 1.666, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0461, loss_cls: 0.2051, acc: 92.8676, loss_bbox: 0.2461, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1965, acc_unlabeled: 92.1289, loss_bbox_unlabeled: 0.1905, losses_cls_ig_unlabeled: 0.1828, pseudo_num: 1.4956, pseudo_num_ig: 5.6328, pseudo_num_mining: 0.9691, pseudo_num(acc): 0.8840, pseudo_num ig(acc): 0.4875, loss: 1.2802
2021-10-31 23:20:13,900 - mmdet - INFO - Iter [20200/40000]	lr: 2.000e-02, eta: 10:41:22, time: 1.711, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0490, loss_cls: 0.2222, acc: 92.3916, loss_bbox: 0.2619, loss_rpn_cls_unlabeled: 0.0821, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1875, acc_unlabeled: 92.3193, loss_bbox_unlabeled: 0.1843, losses_cls_ig_unlabeled: 0.1816, pseudo_num: 1.4959, pseudo_num_ig: 5.6330, pseudo_num_mining: 0.9697, pseudo_num(acc): 0.8840, pseudo_num ig(acc): 0.4875, loss: 1.2983
2021-10-31 23:21:38,556 - mmdet - INFO - Iter [20250/40000]	lr: 2.000e-02, eta: 10:39:33, time: 1.693, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0494, loss_cls: 0.2139, acc: 92.6581, loss_bbox: 0.2530, loss_rpn_cls_unlabeled: 0.0860, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1955, acc_unlabeled: 92.4298, loss_bbox_unlabeled: 0.1896, losses_cls_ig_unlabeled: 0.1810, pseudo_num: 1.4959, pseudo_num_ig: 5.6330, pseudo_num_mining: 0.9703, pseudo_num(acc): 0.8840, pseudo_num ig(acc): 0.4876, loss: 1.2951
2021-10-31 23:23:05,196 - mmdet - INFO - Iter [20300/40000]	lr: 2.000e-02, eta: 10:37:45, time: 1.728, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0494, loss_cls: 0.2167, acc: 92.5348, loss_bbox: 0.2618, loss_rpn_cls_unlabeled: 0.0894, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1870, acc_unlabeled: 92.3181, loss_bbox_unlabeled: 0.1830, losses_cls_ig_unlabeled: 0.1784, pseudo_num: 1.4960, pseudo_num_ig: 5.6332, pseudo_num_mining: 0.9710, pseudo_num(acc): 0.8840, pseudo_num ig(acc): 0.4876, loss: 1.2980
2021-10-31 23:24:30,044 - mmdet - INFO - Iter [20350/40000]	lr: 2.000e-02, eta: 10:35:56, time: 1.703, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0503, loss_cls: 0.2138, acc: 92.5125, loss_bbox: 0.2596, loss_rpn_cls_unlabeled: 0.0870, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1885, acc_unlabeled: 92.2994, loss_bbox_unlabeled: 0.1841, losses_cls_ig_unlabeled: 0.1787, pseudo_num: 1.4961, pseudo_num_ig: 5.6333, pseudo_num_mining: 0.9716, pseudo_num(acc): 0.8841, pseudo_num ig(acc): 0.4876, loss: 1.2883
2021-10-31 23:25:55,776 - mmdet - INFO - Iter [20400/40000]	lr: 2.000e-02, eta: 10:34:08, time: 1.715, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0502, loss_cls: 0.2179, acc: 92.4071, loss_bbox: 0.2612, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1889, acc_unlabeled: 92.2799, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1777, pseudo_num: 1.4961, pseudo_num_ig: 5.6333, pseudo_num_mining: 0.9721, pseudo_num(acc): 0.8841, pseudo_num ig(acc): 0.4876, loss: 1.2981
2021-10-31 23:27:22,240 - mmdet - INFO - Iter [20450/40000]	lr: 2.000e-02, eta: 10:32:21, time: 1.727, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0484, loss_cls: 0.2147, acc: 92.6304, loss_bbox: 0.2514, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1953, acc_unlabeled: 92.3434, loss_bbox_unlabeled: 0.1910, losses_cls_ig_unlabeled: 0.1796, pseudo_num: 1.4961, pseudo_num_ig: 5.6332, pseudo_num_mining: 0.9727, pseudo_num(acc): 0.8841, pseudo_num ig(acc): 0.4877, loss: 1.2946
2021-10-31 23:28:44,931 - mmdet - INFO - pseudo pos: 0.98(38335.0-person) 0.93(904.0-bicycle) 0.94(6435.0-car) 0.98(1188.0-motorcycle) 1.00(672.0-airplane) 1.00(763.0-bus) 0.99(741.0-train) 0.77(1529.0-truck) 0.76(1525.0-boat) 0.93(2041.0-traffic light) 0.99(228.0-fire hydrant) 1.00(241.0-stop sign) 0.95(187.0-parking meter) 0.76(1451.0-bench) 0.93(1384.0-bird) 0.98(735.0-cat) 0.98(734.0-dog) 0.99(908.0-horse) 0.94(1483.0-sheep) 0.95(1099.0-cow) 1.00(728.0-elephant) 1.00(212.0-bear) 0.99(727.0-zebra) 0.99(733.0-giraffe) 0.59(1216.0-backpack) 0.84(1644.0-umbrella) 0.55(1564.0-handbag) 0.94(760.0-tie) 0.81(781.0-suitcase) 0.99(357.0-frisbee) 0.75(924.0-skis) 0.82(339.0-snowboard) 0.98(862.0-sports ball) 0.91(1183.0-kite) 0.90(452.0-baseball bat) 0.97(481.0-baseball glove) 0.99(795.0-skateboard) 0.91(1004.0-surfboard) 0.99(594.0-tennis racket) 0.89(3206.0-bottle) 0.95(1086.0-wine glass) 0.90(3281.0-cup) 0.83(702.0-fork) 0.56(1210.0-knife) 0.54(866.0-spoon) 0.84(2245.0-bowl) 0.70(1490.0-banana) 0.58(725.0-apple) 0.84(709.0-sandwich) 0.67(1067.0-orange) 0.71(1092.0-broccoli) 0.58(1153.0-carrot) 0.80(394.0-hot dog) 0.95(828.0-pizza) 0.92(1008.0-donut) 0.89(855.0-cake) 0.80(5500.0-chair) 0.85(901.0-couch) 0.77(1325.0-potted plant) 0.96(618.0-bed) 0.73(2924.0-dining table) 0.96(522.0-toilet) 0.98(729.0-tv) 0.97(665.0-laptop) 0.98(286.0-mouse) 0.78(695.0-remote) 0.99(378.0-keyboard) 0.85(937.0-cell phone) 0.98(191.0-microwave) 0.91(538.0-oven) 0.35(26.0-toaster) 0.84(778.0-sink) 0.98(382.0-refrigerator) 0.36(2933.0-book) 0.99(924.0-clock) 0.91(965.0-vase) 0.76(212.0-scissors) 0.94(728.0-teddy bear) 0.00(0.0-hair drier) 0.54(236.0-toothbrush)
2021-10-31 23:28:44,931 - mmdet - INFO - pseudo ig: 0.65(139204.0-person) 0.44(3504.0-bicycle) 0.50(24265.0-car) 0.58(4860.0-motorcycle) 0.72(2411.0-airplane) 0.68(2972.0-bus) 0.62(2363.0-train) 0.36(5782.0-truck) 0.36(5663.0-boat) 0.40(7701.0-traffic light) 0.73(1016.0-fire hydrant) 0.66(990.0-stop sign) 0.36(683.0-parking meter) 0.22(5292.0-bench) 0.35(5583.0-bird) 0.75(2536.0-cat) 0.67(2709.0-dog) 0.62(3417.0-horse) 0.51(5813.0-sheep) 0.52(4795.0-cow) 0.79(3006.0-elephant) 0.70(715.0-bear) 0.81(2725.0-zebra) 0.88(2534.0-giraffe) 0.24(4780.0-backpack) 0.42(6661.0-umbrella) 0.21(6706.0-handbag) 0.45(2877.0-tie) 0.42(2908.0-suitcase) 0.62(1375.0-frisbee) 0.36(3452.0-skis) 0.34(1370.0-snowboard) 0.41(3388.0-sports ball) 0.48(4161.0-kite) 0.42(1862.0-baseball bat) 0.47(1857.0-baseball glove) 0.59(2964.0-skateboard) 0.44(3727.0-surfboard) 0.67(2436.0-tennis racket) 0.44(12480.0-bottle) 0.47(4486.0-wine glass) 0.37(13139.0-cup) 0.30(3033.0-fork) 0.24(4343.0-knife) 0.20(3774.0-spoon) 0.38(9114.0-bowl) 0.28(6054.0-banana) 0.22(3211.0-apple) 0.36(2451.0-sandwich) 0.26(3987.0-orange) 0.39(4104.0-broccoli) 0.24(4367.0-carrot) 0.34(1397.0-hot dog) 0.56(3148.0-pizza) 0.42(3649.0-donut) 0.39(3275.0-cake) 0.32(21349.0-chair) 0.40(3459.0-couch) 0.37(4941.0-potted plant) 0.53(2098.0-bed) 0.37(8350.0-dining table) 0.72(2184.0-toilet) 0.62(3051.0-tv) 0.59(2785.0-laptop) 0.48(1171.0-mouse) 0.36(3138.0-remote) 0.48(1469.0-keyboard) 0.30(3588.0-cell phone) 0.59(877.0-microwave) 0.38(1914.0-oven) 0.12(49.0-toaster) 0.46(2988.0-sink) 0.48(1377.0-refrigerator) 0.19(11475.0-book) 0.63(3208.0-clock) 0.39(4061.0-vase) 0.24(792.0-scissors) 0.48(2746.0-teddy bear) 0.00(0.0-hair drier) 0.22(924.0-toothbrush)
2021-10-31 23:28:44,931 - mmdet - INFO - pseudo gt: 179550.0 4888.0 29915.0 6265.0 3614.0 4353.0 3056.0 6770.0 6939.0 8989.0 1302.0 1359.0 842.0 6927.0 7023.0 3206.0 3856.0 4370.0 6757.0 5546.0 3935.0 898.0 3760.0 3544.0 5973.0 7756.0 8418.0 4549.0 4451.0 1841.0 4515.0 1898.0 4147.0 6025.0 2217.0 2572.0 4026.0 4013.0 3298.0 16863.0 5808.0 14381.0 3851.0 5635.0 4259.0 9795.0 6312.0 3878.0 3011.0 4186.0 5338.0 5233.0 2006.0 4125.0 4750.0 4516.0 26888.0 4038.0 6182.0 2915.0 11154.0 2998.0 4046.0 3453.0 1460.0 3973.0 1896.0 4349.0 1195.0 2279.0 154.0 3820.0 1915.0 16402.0 4538.0 4577.0 935.0 3189.0 121.0 1259.0
2021-10-31 23:28:44,931 - mmdet - INFO - pseudo mining: 40539.0 157.0 4217.0 571.0 602.0 924.0 451.0 71.0 201.0 1088.0 510.0 675.0 41.0 36.0 276.0 507.0 427.0 742.0 1293.0 809.0 1478.0 271.0 1569.0 1664.0 12.0 514.0 20.0 331.0 130.0 640.0 82.0 10.0 1206.0 1165.0 181.0 575.0 662.0 208.0 889.0 1441.0 489.0 1388.0 17.0 27.0 19.0 696.0 98.0 18.0 59.0 64.0 252.0 77.0 13.0 620.0 649.0 106.0 201.0 56.0 286.0 71.0 164.0 1098.0 1214.0 592.0 439.0 178.0 211.0 254.0 234.0 108.0 0.0 523.0 138.0 26.0 2239.0 389.0 1.0 243.0 0.0 5.0
2021-10-31 23:28:46,906 - mmdet - INFO - Iter [20500/40000]	lr: 2.000e-02, eta: 10:30:32, time: 1.691, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0473, loss_cls: 0.2090, acc: 92.8562, loss_bbox: 0.2475, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.0978, loss_cls_unlabeled: 0.1930, acc_unlabeled: 92.2953, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1785, pseudo_num: 1.4963, pseudo_num_ig: 5.6332, pseudo_num_mining: 0.9734, pseudo_num(acc): 0.8841, pseudo_num ig(acc): 0.4877, loss: 1.2864
2021-10-31 23:30:12,927 - mmdet - INFO - Iter [20550/40000]	lr: 2.000e-02, eta: 10:28:45, time: 1.722, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0488, loss_cls: 0.2065, acc: 92.9602, loss_bbox: 0.2472, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1842, acc_unlabeled: 92.5115, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1735, pseudo_num: 1.4964, pseudo_num_ig: 5.6333, pseudo_num_mining: 0.9739, pseudo_num(acc): 0.8841, pseudo_num ig(acc): 0.4878, loss: 1.2589
2021-10-31 23:31:39,170 - mmdet - INFO - Iter [20600/40000]	lr: 2.000e-02, eta: 10:26:58, time: 1.719, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0493, loss_cls: 0.2077, acc: 92.7889, loss_bbox: 0.2512, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1890, acc_unlabeled: 92.4945, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1712, pseudo_num: 1.4965, pseudo_num_ig: 5.6329, pseudo_num_mining: 0.9743, pseudo_num(acc): 0.8841, pseudo_num ig(acc): 0.4878, loss: 1.2713
2021-10-31 23:33:02,675 - mmdet - INFO - Iter [20650/40000]	lr: 2.000e-02, eta: 10:25:08, time: 1.672, data_time: 0.036, memory: 26484, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0482, loss_cls: 0.2108, acc: 92.6720, loss_bbox: 0.2511, loss_rpn_cls_unlabeled: 0.0906, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1941, acc_unlabeled: 92.2504, loss_bbox_unlabeled: 0.1914, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4967, pseudo_num_ig: 5.6327, pseudo_num_mining: 0.9748, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4878, loss: 1.2967
2021-10-31 23:34:28,237 - mmdet - INFO - Iter [20700/40000]	lr: 2.000e-02, eta: 10:23:21, time: 1.718, data_time: 0.035, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0515, loss_cls: 0.2204, acc: 92.4493, loss_bbox: 0.2627, loss_rpn_cls_unlabeled: 0.0921, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1957, acc_unlabeled: 92.2141, loss_bbox_unlabeled: 0.1915, losses_cls_ig_unlabeled: 0.1827, pseudo_num: 1.4969, pseudo_num_ig: 5.6327, pseudo_num_mining: 0.9753, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4878, loss: 1.3268
2021-10-31 23:35:52,957 - mmdet - INFO - Iter [20750/40000]	lr: 2.000e-02, eta: 10:21:33, time: 1.690, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0468, loss_cls: 0.2086, acc: 92.8561, loss_bbox: 0.2502, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1956, acc_unlabeled: 91.9844, loss_bbox_unlabeled: 0.1918, losses_cls_ig_unlabeled: 0.1857, pseudo_num: 1.4971, pseudo_num_ig: 5.6330, pseudo_num_mining: 0.9760, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4879, loss: 1.2969
2021-10-31 23:37:17,390 - mmdet - INFO - Iter [20800/40000]	lr: 2.000e-02, eta: 10:19:44, time: 1.693, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0481, loss_cls: 0.2170, acc: 92.4779, loss_bbox: 0.2577, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0954, loss_cls_unlabeled: 0.1880, acc_unlabeled: 92.2623, loss_bbox_unlabeled: 0.1844, losses_cls_ig_unlabeled: 0.1796, pseudo_num: 1.4971, pseudo_num_ig: 5.6335, pseudo_num_mining: 0.9767, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4879, loss: 1.2883
2021-10-31 23:38:42,205 - mmdet - INFO - Iter [20850/40000]	lr: 2.000e-02, eta: 10:17:56, time: 1.697, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0461, loss_cls: 0.2107, acc: 92.7268, loss_bbox: 0.2552, loss_rpn_cls_unlabeled: 0.0895, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1903, acc_unlabeled: 92.3744, loss_bbox_unlabeled: 0.1866, losses_cls_ig_unlabeled: 0.1777, pseudo_num: 1.4971, pseudo_num_ig: 5.6340, pseudo_num_mining: 0.9774, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4880, loss: 1.2830
2021-10-31 23:40:07,189 - mmdet - INFO - Iter [20900/40000]	lr: 2.000e-02, eta: 10:16:09, time: 1.699, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0481, loss_cls: 0.2120, acc: 92.6794, loss_bbox: 0.2547, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1888, acc_unlabeled: 92.2983, loss_bbox_unlabeled: 0.1844, losses_cls_ig_unlabeled: 0.1805, pseudo_num: 1.4972, pseudo_num_ig: 5.6342, pseudo_num_mining: 0.9779, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4880, loss: 1.2868
2021-10-31 23:41:31,582 - mmdet - INFO - Iter [20950/40000]	lr: 2.000e-02, eta: 10:14:21, time: 1.685, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0472, loss_cls: 0.2213, acc: 92.3818, loss_bbox: 0.2631, loss_rpn_cls_unlabeled: 0.0866, loss_rpn_bbox_unlabeled: 0.0951, loss_cls_unlabeled: 0.1948, acc_unlabeled: 92.3068, loss_bbox_unlabeled: 0.1900, losses_cls_ig_unlabeled: 0.1775, pseudo_num: 1.4972, pseudo_num_ig: 5.6346, pseudo_num_mining: 0.9787, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4880, loss: 1.3101
2021-10-31 23:42:54,636 - mmdet - INFO - pseudo pos: 0.98(39283.0-person) 0.93(929.0-bicycle) 0.94(6569.0-car) 0.99(1210.0-motorcycle) 1.00(685.0-airplane) 1.00(775.0-bus) 0.99(763.0-train) 0.78(1567.0-truck) 0.77(1574.0-boat) 0.93(2101.0-traffic light) 0.99(234.0-fire hydrant) 1.00(253.0-stop sign) 0.95(194.0-parking meter) 0.76(1498.0-bench) 0.93(1436.0-bird) 0.98(750.0-cat) 0.98(755.0-dog) 0.99(934.0-horse) 0.94(1514.0-sheep) 0.95(1123.0-cow) 1.00(745.0-elephant) 1.00(216.0-bear) 0.99(737.0-zebra) 0.99(744.0-giraffe) 0.60(1253.0-backpack) 0.84(1688.0-umbrella) 0.55(1617.0-handbag) 0.94(780.0-tie) 0.81(795.0-suitcase) 0.99(367.0-frisbee) 0.76(965.0-skis) 0.82(346.0-snowboard) 0.98(886.0-sports ball) 0.91(1213.0-kite) 0.91(465.0-baseball bat) 0.97(489.0-baseball glove) 0.99(813.0-skateboard) 0.91(1024.0-surfboard) 0.99(609.0-tennis racket) 0.89(3265.0-bottle) 0.95(1109.0-wine glass) 0.90(3354.0-cup) 0.82(720.0-fork) 0.56(1232.0-knife) 0.54(888.0-spoon) 0.84(2311.0-bowl) 0.70(1509.0-banana) 0.57(743.0-apple) 0.84(729.0-sandwich) 0.67(1091.0-orange) 0.71(1127.0-broccoli) 0.57(1213.0-carrot) 0.81(407.0-hot dog) 0.95(859.0-pizza) 0.93(1045.0-donut) 0.88(866.0-cake) 0.81(5623.0-chair) 0.85(916.0-couch) 0.77(1349.0-potted plant) 0.96(630.0-bed) 0.73(2975.0-dining table) 0.96(527.0-toilet) 0.98(744.0-tv) 0.97(686.0-laptop) 0.98(294.0-mouse) 0.78(718.0-remote) 0.99(386.0-keyboard) 0.86(961.0-cell phone) 0.99(202.0-microwave) 0.91(558.0-oven) 0.38(34.0-toaster) 0.84(795.0-sink) 0.98(395.0-refrigerator) 0.36(2990.0-book) 0.99(938.0-clock) 0.91(997.0-vase) 0.77(215.0-scissors) 0.94(749.0-teddy bear) 0.00(0.0-hair drier) 0.53(243.0-toothbrush)
2021-10-31 23:42:54,636 - mmdet - INFO - pseudo ig: 0.65(142621.0-person) 0.44(3625.0-bicycle) 0.50(24883.0-car) 0.58(4962.0-motorcycle) 0.72(2495.0-airplane) 0.69(3048.0-bus) 0.61(2434.0-train) 0.36(5943.0-truck) 0.35(5790.0-boat) 0.40(7912.0-traffic light) 0.73(1038.0-fire hydrant) 0.66(1013.0-stop sign) 0.36(694.0-parking meter) 0.22(5416.0-bench) 0.35(5769.0-bird) 0.75(2600.0-cat) 0.68(2768.0-dog) 0.62(3497.0-horse) 0.51(5952.0-sheep) 0.53(4904.0-cow) 0.79(3077.0-elephant) 0.71(730.0-bear) 0.81(2791.0-zebra) 0.88(2594.0-giraffe) 0.24(4893.0-backpack) 0.42(6854.0-umbrella) 0.21(6864.0-handbag) 0.45(2936.0-tie) 0.41(2986.0-suitcase) 0.61(1416.0-frisbee) 0.36(3559.0-skis) 0.35(1392.0-snowboard) 0.41(3465.0-sports ball) 0.48(4234.0-kite) 0.42(1908.0-baseball bat) 0.47(1894.0-baseball glove) 0.59(3027.0-skateboard) 0.44(3826.0-surfboard) 0.67(2527.0-tennis racket) 0.44(12821.0-bottle) 0.47(4636.0-wine glass) 0.37(13414.0-cup) 0.30(3093.0-fork) 0.24(4421.0-knife) 0.20(3849.0-spoon) 0.38(9321.0-bowl) 0.28(6180.0-banana) 0.22(3268.0-apple) 0.36(2514.0-sandwich) 0.26(4097.0-orange) 0.39(4198.0-broccoli) 0.24(4487.0-carrot) 0.34(1454.0-hot dog) 0.56(3223.0-pizza) 0.42(3742.0-donut) 0.40(3337.0-cake) 0.32(21849.0-chair) 0.40(3539.0-couch) 0.38(5077.0-potted plant) 0.53(2148.0-bed) 0.37(8553.0-dining table) 0.72(2226.0-toilet) 0.62(3141.0-tv) 0.59(2864.0-laptop) 0.49(1202.0-mouse) 0.36(3228.0-remote) 0.48(1514.0-keyboard) 0.30(3670.0-cell phone) 0.59(909.0-microwave) 0.38(1960.0-oven) 0.11(62.0-toaster) 0.46(3053.0-sink) 0.48(1409.0-refrigerator) 0.20(11689.0-book) 0.63(3290.0-clock) 0.39(4135.0-vase) 0.24(825.0-scissors) 0.48(2798.0-teddy bear) 0.00(0.0-hair drier) 0.22(939.0-toothbrush)
2021-10-31 23:42:54,636 - mmdet - INFO - pseudo gt: 183897.0 5028.0 30606.0 6387.0 3720.0 4455.0 3126.0 6955.0 7079.0 9215.0 1334.0 1396.0 866.0 7092.0 7236.0 3281.0 3951.0 4478.0 6917.0 5707.0 4046.0 916.0 3848.0 3619.0 6113.0 7923.0 8647.0 4663.0 4530.0 1883.0 4652.0 1945.0 4257.0 6110.0 2259.0 2633.0 4111.0 4112.0 3404.0 17239.0 5942.0 14753.0 3933.0 5740.0 4358.0 10038.0 6455.0 3971.0 3089.0 4281.0 5442.0 5385.0 2085.0 4217.0 4916.0 4628.0 27555.0 4134.0 6326.0 2985.0 11413.0 3050.0 4153.0 3544.0 1508.0 4072.0 1958.0 4448.0 1233.0 2335.0 159.0 3908.0 1969.0 16824.0 4660.0 4681.0 959.0 3252.0 124.0 1280.0
2021-10-31 23:42:54,636 - mmdet - INFO - pseudo mining: 41742.0 163.0 4341.0 586.0 626.0 962.0 463.0 73.0 204.0 1125.0 524.0 693.0 43.0 36.0 293.0 532.0 435.0 773.0 1342.0 837.0 1531.0 276.0 1611.0 1706.0 13.0 522.0 20.0 339.0 130.0 659.0 84.0 10.0 1240.0 1189.0 182.0 591.0 685.0 215.0 928.0 1500.0 508.0 1431.0 17.0 29.0 19.0 723.0 99.0 18.0 60.0 64.0 260.0 77.0 13.0 640.0 691.0 114.0 210.0 63.0 295.0 72.0 167.0 1130.0 1259.0 610.0 451.0 186.0 217.0 261.0 244.0 112.0 0.0 536.0 141.0 29.0 2308.0 399.0 4.0 251.0 0.0 5.0
2021-10-31 23:44:25,038 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-10-31 23:44:25,039 - mmdet - INFO - Iter [21000/40000]	lr: 2.000e-02, eta: 10:12:33, time: 1.693, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0496, loss_cls: 0.2120, acc: 92.7018, loss_bbox: 0.2530, loss_rpn_cls_unlabeled: 0.0933, loss_rpn_bbox_unlabeled: 0.0981, loss_cls_unlabeled: 0.1978, acc_unlabeled: 92.1012, loss_bbox_unlabeled: 0.1939, losses_cls_ig_unlabeled: 0.1829, pseudo_num: 1.4974, pseudo_num_ig: 5.6350, pseudo_num_mining: 0.9794, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4881, loss: 1.3158
2021-10-31 23:45:50,637 - mmdet - INFO - Iter [21050/40000]	lr: 2.000e-02, eta: 10:12:06, time: 3.489, data_time: 1.806, memory: 26484, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0479, loss_cls: 0.2117, acc: 92.6880, loss_bbox: 0.2555, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1815, acc_unlabeled: 92.6722, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1734, pseudo_num: 1.4975, pseudo_num_ig: 5.6353, pseudo_num_mining: 0.9800, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4881, loss: 1.2632
2021-10-31 23:47:16,407 - mmdet - INFO - Iter [21100/40000]	lr: 2.000e-02, eta: 10:10:19, time: 1.715, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0513, loss_cls: 0.2122, acc: 92.6798, loss_bbox: 0.2594, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1854, acc_unlabeled: 92.5750, loss_bbox_unlabeled: 0.1867, losses_cls_ig_unlabeled: 0.1754, pseudo_num: 1.4975, pseudo_num_ig: 5.6351, pseudo_num_mining: 0.9806, pseudo_num(acc): 0.8842, pseudo_num ig(acc): 0.4882, loss: 1.2852
2021-10-31 23:48:41,681 - mmdet - INFO - Iter [21150/40000]	lr: 2.000e-02, eta: 10:08:32, time: 1.706, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0460, loss_cls: 0.2095, acc: 92.7905, loss_bbox: 0.2503, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0884, loss_cls_unlabeled: 0.1953, acc_unlabeled: 92.3148, loss_bbox_unlabeled: 0.1932, losses_cls_ig_unlabeled: 0.1816, pseudo_num: 1.4977, pseudo_num_ig: 5.6352, pseudo_num_mining: 0.9812, pseudo_num(acc): 0.8843, pseudo_num ig(acc): 0.4882, loss: 1.2863
2021-10-31 23:50:08,152 - mmdet - INFO - Iter [21200/40000]	lr: 2.000e-02, eta: 10:06:46, time: 1.722, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0489, loss_cls: 0.2106, acc: 92.7546, loss_bbox: 0.2524, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1949, acc_unlabeled: 92.1763, loss_bbox_unlabeled: 0.1913, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4979, pseudo_num_ig: 5.6353, pseudo_num_mining: 0.9819, pseudo_num(acc): 0.8843, pseudo_num ig(acc): 0.4882, loss: 1.2982
2021-10-31 23:51:33,657 - mmdet - INFO - Iter [21250/40000]	lr: 2.000e-02, eta: 10:04:59, time: 1.718, data_time: 0.035, memory: 26484, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0507, loss_cls: 0.2228, acc: 92.3212, loss_bbox: 0.2621, loss_rpn_cls_unlabeled: 0.0909, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1940, acc_unlabeled: 92.1002, loss_bbox_unlabeled: 0.1867, losses_cls_ig_unlabeled: 0.1860, pseudo_num: 1.4980, pseudo_num_ig: 5.6357, pseudo_num_mining: 0.9825, pseudo_num(acc): 0.8843, pseudo_num ig(acc): 0.4882, loss: 1.3239
2021-10-31 23:53:00,271 - mmdet - INFO - Iter [21300/40000]	lr: 2.000e-02, eta: 10:03:14, time: 1.733, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0490, loss_cls: 0.2179, acc: 92.5487, loss_bbox: 0.2619, loss_rpn_cls_unlabeled: 0.0858, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1916, acc_unlabeled: 92.4008, loss_bbox_unlabeled: 0.1885, losses_cls_ig_unlabeled: 0.1788, pseudo_num: 1.4981, pseudo_num_ig: 5.6358, pseudo_num_mining: 0.9831, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4882, loss: 1.3032
2021-10-31 23:54:26,069 - mmdet - INFO - Iter [21350/40000]	lr: 2.000e-02, eta: 10:01:27, time: 1.712, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0470, loss_cls: 0.2128, acc: 92.6528, loss_bbox: 0.2559, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1922, acc_unlabeled: 92.2872, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1863, pseudo_num: 1.4981, pseudo_num_ig: 5.6359, pseudo_num_mining: 0.9838, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4883, loss: 1.2879
2021-10-31 23:55:50,642 - mmdet - INFO - Iter [21400/40000]	lr: 2.000e-02, eta: 9:59:40, time: 1.695, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0476, loss_cls: 0.2091, acc: 92.7733, loss_bbox: 0.2558, loss_rpn_cls_unlabeled: 0.0818, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1855, acc_unlabeled: 92.5728, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1786, pseudo_num: 1.4980, pseudo_num_ig: 5.6359, pseudo_num_mining: 0.9843, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4883, loss: 1.2672
2021-10-31 23:57:15,853 - mmdet - INFO - Iter [21450/40000]	lr: 2.000e-02, eta: 9:57:53, time: 1.704, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0483, loss_cls: 0.2124, acc: 92.6250, loss_bbox: 0.2565, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.3162, loss_bbox_unlabeled: 0.1838, losses_cls_ig_unlabeled: 0.1839, pseudo_num: 1.4980, pseudo_num_ig: 5.6359, pseudo_num_mining: 0.9850, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4883, loss: 1.2861
2021-10-31 23:58:40,266 - mmdet - INFO - pseudo pos: 0.98(40206.0-person) 0.93(944.0-bicycle) 0.94(6731.0-car) 0.99(1224.0-motorcycle) 1.00(704.0-airplane) 1.00(796.0-bus) 0.99(778.0-train) 0.78(1607.0-truck) 0.77(1616.0-boat) 0.93(2137.0-traffic light) 0.99(237.0-fire hydrant) 0.99(266.0-stop sign) 0.95(195.0-parking meter) 0.77(1533.0-bench) 0.93(1467.0-bird) 0.98(781.0-cat) 0.98(775.0-dog) 0.99(954.0-horse) 0.94(1562.0-sheep) 0.95(1144.0-cow) 1.00(766.0-elephant) 1.00(225.0-bear) 0.99(755.0-zebra) 0.99(766.0-giraffe) 0.60(1271.0-backpack) 0.84(1722.0-umbrella) 0.55(1644.0-handbag) 0.94(790.0-tie) 0.81(811.0-suitcase) 0.99(373.0-frisbee) 0.76(978.0-skis) 0.81(351.0-snowboard) 0.98(908.0-sports ball) 0.91(1253.0-kite) 0.91(475.0-baseball bat) 0.97(499.0-baseball glove) 0.99(828.0-skateboard) 0.91(1050.0-surfboard) 0.99(624.0-tennis racket) 0.89(3320.0-bottle) 0.95(1135.0-wine glass) 0.90(3427.0-cup) 0.82(731.0-fork) 0.56(1261.0-knife) 0.54(909.0-spoon) 0.84(2374.0-bowl) 0.70(1569.0-banana) 0.57(761.0-apple) 0.84(751.0-sandwich) 0.67(1134.0-orange) 0.71(1137.0-broccoli) 0.57(1229.0-carrot) 0.81(419.0-hot dog) 0.95(876.0-pizza) 0.93(1094.0-donut) 0.89(892.0-cake) 0.81(5762.0-chair) 0.85(932.0-couch) 0.77(1388.0-potted plant) 0.96(643.0-bed) 0.74(3028.0-dining table) 0.95(546.0-toilet) 0.98(761.0-tv) 0.97(699.0-laptop) 0.98(306.0-mouse) 0.78(723.0-remote) 0.99(398.0-keyboard) 0.85(989.0-cell phone) 0.99(208.0-microwave) 0.91(568.0-oven) 0.37(35.0-toaster) 0.84(806.0-sink) 0.98(408.0-refrigerator) 0.36(3056.0-book) 0.99(958.0-clock) 0.91(1022.0-vase) 0.76(216.0-scissors) 0.94(769.0-teddy bear) 0.00(0.0-hair drier) 0.54(255.0-toothbrush)
2021-10-31 23:58:40,270 - mmdet - INFO - pseudo ig: 0.65(146290.0-person) 0.44(3698.0-bicycle) 0.50(25523.0-car) 0.58(5063.0-motorcycle) 0.72(2550.0-airplane) 0.68(3117.0-bus) 0.62(2505.0-train) 0.35(6078.0-truck) 0.36(5997.0-boat) 0.40(8115.0-traffic light) 0.73(1061.0-fire hydrant) 0.67(1045.0-stop sign) 0.36(707.0-parking meter) 0.22(5548.0-bench) 0.35(5880.0-bird) 0.75(2653.0-cat) 0.68(2862.0-dog) 0.62(3591.0-horse) 0.51(6110.0-sheep) 0.53(4991.0-cow) 0.79(3117.0-elephant) 0.71(750.0-bear) 0.81(2860.0-zebra) 0.88(2662.0-giraffe) 0.23(5029.0-backpack) 0.42(7039.0-umbrella) 0.21(7005.0-handbag) 0.45(2992.0-tie) 0.41(3072.0-suitcase) 0.62(1451.0-frisbee) 0.36(3647.0-skis) 0.35(1451.0-snowboard) 0.41(3560.0-sports ball) 0.48(4358.0-kite) 0.42(1962.0-baseball bat) 0.47(1943.0-baseball glove) 0.59(3090.0-skateboard) 0.44(3962.0-surfboard) 0.67(2600.0-tennis racket) 0.44(13083.0-bottle) 0.47(4732.0-wine glass) 0.37(13685.0-cup) 0.30(3167.0-fork) 0.24(4522.0-knife) 0.20(3933.0-spoon) 0.38(9539.0-bowl) 0.28(6343.0-banana) 0.22(3338.0-apple) 0.36(2576.0-sandwich) 0.27(4205.0-orange) 0.39(4281.0-broccoli) 0.24(4581.0-carrot) 0.34(1481.0-hot dog) 0.56(3298.0-pizza) 0.43(3831.0-donut) 0.40(3433.0-cake) 0.32(22331.0-chair) 0.40(3607.0-couch) 0.38(5166.0-potted plant) 0.53(2195.0-bed) 0.37(8769.0-dining table) 0.72(2267.0-toilet) 0.62(3220.0-tv) 0.59(2936.0-laptop) 0.49(1231.0-mouse) 0.36(3297.0-remote) 0.48(1555.0-keyboard) 0.30(3773.0-cell phone) 0.59(937.0-microwave) 0.38(2003.0-oven) 0.11(62.0-toaster) 0.46(3117.0-sink) 0.48(1455.0-refrigerator) 0.20(11968.0-book) 0.63(3343.0-clock) 0.39(4202.0-vase) 0.24(844.0-scissors) 0.48(2827.0-teddy bear) 0.00(0.0-hair drier) 0.22(956.0-toothbrush)
2021-10-31 23:58:40,270 - mmdet - INFO - pseudo gt: 188582.0 5156.0 31365.0 6537.0 3812.0 4554.0 3221.0 7121.0 7292.0 9439.0 1358.0 1440.0 876.0 7271.0 7394.0 3360.0 4080.0 4604.0 7128.0 5849.0 4106.0 942.0 3943.0 3703.0 6274.0 8077.0 8846.0 4761.0 4631.0 1941.0 4764.0 1992.0 4374.0 6270.0 2319.0 2726.0 4196.0 4266.0 3501.0 17596.0 6063.0 15071.0 4020.0 5858.0 4418.0 10246.0 6627.0 4083.0 3180.0 4405.0 5526.0 5516.0 2145.0 4290.0 5032.0 4752.0 28254.0 4223.0 6450.0 3038.0 11694.0 3111.0 4258.0 3628.0 1551.0 4143.0 2014.0 4568.0 1266.0 2387.0 161.0 4008.0 2027.0 17195.0 4741.0 4806.0 980.0 3291.0 133.0 1297.0
2021-10-31 23:58:40,271 - mmdet - INFO - pseudo mining: 43089.0 169.0 4481.0 607.0 647.0 997.0 484.0 74.0 212.0 1169.0 534.0 719.0 44.0 37.0 301.0 541.0 458.0 809.0 1388.0 869.0 1555.0 287.0 1658.0 1749.0 13.0 546.0 20.0 343.0 136.0 678.0 89.0 10.0 1270.0 1218.0 187.0 606.0 711.0 227.0 960.0 1543.0 522.0 1473.0 18.0 30.0 19.0 754.0 101.0 18.0 62.0 65.0 272.0 80.0 13.0 661.0 708.0 121.0 219.0 63.0 300.0 72.0 170.0 1148.0 1287.0 632.0 463.0 191.0 222.0 267.0 253.0 120.0 0.0 553.0 148.0 30.0 2343.0 415.0 5.0 255.0 0.0 5.0
2021-10-31 23:58:42,081 - mmdet - INFO - Iter [21500/40000]	lr: 2.000e-02, eta: 9:56:07, time: 1.722, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0493, loss_cls: 0.2146, acc: 92.5829, loss_bbox: 0.2554, loss_rpn_cls_unlabeled: 0.0777, loss_rpn_bbox_unlabeled: 0.0910, loss_cls_unlabeled: 0.1911, acc_unlabeled: 92.2931, loss_bbox_unlabeled: 0.1861, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.4980, pseudo_num_ig: 5.6356, pseudo_num_mining: 0.9854, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4884, loss: 1.2814
2021-11-01 00:00:08,215 - mmdet - INFO - Iter [21550/40000]	lr: 2.000e-02, eta: 9:54:22, time: 1.725, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0467, loss_cls: 0.2128, acc: 92.6920, loss_bbox: 0.2545, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.2649, loss_bbox_unlabeled: 0.1818, losses_cls_ig_unlabeled: 0.1828, pseudo_num: 1.4980, pseudo_num_ig: 5.6355, pseudo_num_mining: 0.9859, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4884, loss: 1.2802
2021-11-01 00:01:33,483 - mmdet - INFO - Iter [21600/40000]	lr: 2.000e-02, eta: 9:52:35, time: 1.700, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0497, loss_cls: 0.2206, acc: 92.4452, loss_bbox: 0.2586, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.1020, loss_cls_unlabeled: 0.1977, acc_unlabeled: 91.9834, loss_bbox_unlabeled: 0.1874, losses_cls_ig_unlabeled: 0.1893, pseudo_num: 1.4981, pseudo_num_ig: 5.6358, pseudo_num_mining: 0.9865, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4884, loss: 1.3265
2021-11-01 00:02:58,665 - mmdet - INFO - Iter [21650/40000]	lr: 2.000e-02, eta: 9:50:49, time: 1.709, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0480, loss_cls: 0.2144, acc: 92.5551, loss_bbox: 0.2579, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1940, acc_unlabeled: 92.1460, loss_bbox_unlabeled: 0.1857, losses_cls_ig_unlabeled: 0.1885, pseudo_num: 1.4981, pseudo_num_ig: 5.6363, pseudo_num_mining: 0.9872, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4885, loss: 1.3053
2021-11-01 00:04:26,700 - mmdet - INFO - Iter [21700/40000]	lr: 2.000e-02, eta: 9:49:05, time: 1.760, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0484, loss_cls: 0.2095, acc: 92.6893, loss_bbox: 0.2514, loss_rpn_cls_unlabeled: 0.0810, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1904, acc_unlabeled: 92.2570, loss_bbox_unlabeled: 0.1872, losses_cls_ig_unlabeled: 0.1819, pseudo_num: 1.4980, pseudo_num_ig: 5.6365, pseudo_num_mining: 0.9878, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4885, loss: 1.2770
2021-11-01 00:05:51,908 - mmdet - INFO - Iter [21750/40000]	lr: 2.000e-02, eta: 9:47:19, time: 1.705, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0479, loss_cls: 0.2184, acc: 92.5278, loss_bbox: 0.2577, loss_rpn_cls_unlabeled: 0.0866, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1826, acc_unlabeled: 92.4167, loss_bbox_unlabeled: 0.1741, losses_cls_ig_unlabeled: 0.1822, pseudo_num: 1.4979, pseudo_num_ig: 5.6366, pseudo_num_mining: 0.9884, pseudo_num(acc): 0.8844, pseudo_num ig(acc): 0.4885, loss: 1.2778
2021-11-01 00:07:17,380 - mmdet - INFO - Iter [21800/40000]	lr: 2.000e-02, eta: 9:45:33, time: 1.705, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0496, loss_cls: 0.2210, acc: 92.4012, loss_bbox: 0.2605, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1877, acc_unlabeled: 92.2094, loss_bbox_unlabeled: 0.1776, losses_cls_ig_unlabeled: 0.1880, pseudo_num: 1.4978, pseudo_num_ig: 5.6367, pseudo_num_mining: 0.9889, pseudo_num(acc): 0.8845, pseudo_num ig(acc): 0.4886, loss: 1.2949
2021-11-01 00:08:42,175 - mmdet - INFO - Iter [21850/40000]	lr: 2.000e-02, eta: 9:43:47, time: 1.701, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0478, loss_cls: 0.2151, acc: 92.5878, loss_bbox: 0.2585, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1872, acc_unlabeled: 92.4645, loss_bbox_unlabeled: 0.1810, losses_cls_ig_unlabeled: 0.1817, pseudo_num: 1.4976, pseudo_num_ig: 5.6363, pseudo_num_mining: 0.9894, pseudo_num(acc): 0.8845, pseudo_num ig(acc): 0.4886, loss: 1.2804
2021-11-01 00:10:08,307 - mmdet - INFO - Iter [21900/40000]	lr: 2.000e-02, eta: 9:42:02, time: 1.721, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0503, loss_cls: 0.2169, acc: 92.4834, loss_bbox: 0.2616, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1962, acc_unlabeled: 92.1726, loss_bbox_unlabeled: 0.1917, losses_cls_ig_unlabeled: 0.1883, pseudo_num: 1.4976, pseudo_num_ig: 5.6366, pseudo_num_mining: 0.9902, pseudo_num(acc): 0.8846, pseudo_num ig(acc): 0.4887, loss: 1.3252
2021-11-01 00:11:34,866 - mmdet - INFO - Iter [21950/40000]	lr: 2.000e-02, eta: 9:40:18, time: 1.733, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0492, loss_cls: 0.2152, acc: 92.6447, loss_bbox: 0.2584, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1850, acc_unlabeled: 92.4603, loss_bbox_unlabeled: 0.1836, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4976, pseudo_num_ig: 5.6366, pseudo_num_mining: 0.9909, pseudo_num(acc): 0.8846, pseudo_num ig(acc): 0.4887, loss: 1.2868
2021-11-01 00:12:57,949 - mmdet - INFO - pseudo pos: 0.98(41127.0-person) 0.93(964.0-bicycle) 0.94(6923.0-car) 0.98(1260.0-motorcycle) 1.00(718.0-airplane) 1.00(812.0-bus) 0.99(800.0-train) 0.78(1633.0-truck) 0.77(1643.0-boat) 0.93(2182.0-traffic light) 0.99(246.0-fire hydrant) 0.99(275.0-stop sign) 0.94(200.0-parking meter) 0.77(1571.0-bench) 0.94(1504.0-bird) 0.98(798.0-cat) 0.98(788.0-dog) 0.99(979.0-horse) 0.94(1586.0-sheep) 0.95(1168.0-cow) 1.00(785.0-elephant) 1.00(229.0-bear) 0.99(764.0-zebra) 0.99(782.0-giraffe) 0.60(1293.0-backpack) 0.84(1768.0-umbrella) 0.55(1682.0-handbag) 0.94(802.0-tie) 0.81(831.0-suitcase) 0.99(380.0-frisbee) 0.75(989.0-skis) 0.81(363.0-snowboard) 0.98(924.0-sports ball) 0.91(1283.0-kite) 0.91(492.0-baseball bat) 0.97(513.0-baseball glove) 0.99(838.0-skateboard) 0.91(1067.0-surfboard) 0.99(637.0-tennis racket) 0.89(3368.0-bottle) 0.95(1157.0-wine glass) 0.90(3495.0-cup) 0.83(740.0-fork) 0.56(1287.0-knife) 0.54(936.0-spoon) 0.84(2438.0-bowl) 0.70(1609.0-banana) 0.57(775.0-apple) 0.84(771.0-sandwich) 0.67(1157.0-orange) 0.71(1147.0-broccoli) 0.57(1253.0-carrot) 0.81(421.0-hot dog) 0.95(896.0-pizza) 0.92(1113.0-donut) 0.88(917.0-cake) 0.81(5883.0-chair) 0.85(958.0-couch) 0.77(1429.0-potted plant) 0.96(656.0-bed) 0.74(3090.0-dining table) 0.95(555.0-toilet) 0.98(778.0-tv) 0.97(721.0-laptop) 0.98(316.0-mouse) 0.78(734.0-remote) 0.99(408.0-keyboard) 0.85(1024.0-cell phone) 0.99(211.0-microwave) 0.91(580.0-oven) 0.37(35.0-toaster) 0.85(834.0-sink) 0.98(418.0-refrigerator) 0.36(3117.0-book) 0.99(983.0-clock) 0.91(1052.0-vase) 0.77(219.0-scissors) 0.94(778.0-teddy bear) 0.00(0.0-hair drier) 0.53(258.0-toothbrush)
2021-11-01 00:12:57,951 - mmdet - INFO - pseudo ig: 0.65(150008.0-person) 0.44(3769.0-bicycle) 0.50(26153.0-car) 0.58(5203.0-motorcycle) 0.72(2614.0-airplane) 0.68(3189.0-bus) 0.62(2579.0-train) 0.35(6199.0-truck) 0.36(6107.0-boat) 0.40(8270.0-traffic light) 0.73(1085.0-fire hydrant) 0.67(1076.0-stop sign) 0.37(737.0-parking meter) 0.23(5723.0-bench) 0.35(6063.0-bird) 0.75(2733.0-cat) 0.68(2928.0-dog) 0.62(3665.0-horse) 0.51(6244.0-sheep) 0.53(5082.0-cow) 0.79(3201.0-elephant) 0.70(782.0-bear) 0.81(2905.0-zebra) 0.88(2728.0-giraffe) 0.24(5146.0-backpack) 0.42(7250.0-umbrella) 0.21(7168.0-handbag) 0.46(3079.0-tie) 0.41(3151.0-suitcase) 0.62(1482.0-frisbee) 0.36(3702.0-skis) 0.34(1500.0-snowboard) 0.41(3654.0-sports ball) 0.48(4487.0-kite) 0.42(2012.0-baseball bat) 0.48(1984.0-baseball glove) 0.59(3170.0-skateboard) 0.44(4031.0-surfboard) 0.67(2651.0-tennis racket) 0.44(13393.0-bottle) 0.47(4831.0-wine glass) 0.37(13977.0-cup) 0.30(3252.0-fork) 0.24(4634.0-knife) 0.20(4051.0-spoon) 0.38(9745.0-bowl) 0.28(6471.0-banana) 0.22(3424.0-apple) 0.36(2628.0-sandwich) 0.27(4335.0-orange) 0.39(4374.0-broccoli) 0.25(4665.0-carrot) 0.33(1504.0-hot dog) 0.56(3380.0-pizza) 0.42(3897.0-donut) 0.39(3543.0-cake) 0.32(22834.0-chair) 0.40(3706.0-couch) 0.38(5300.0-potted plant) 0.53(2252.0-bed) 0.37(8974.0-dining table) 0.72(2315.0-toilet) 0.62(3287.0-tv) 0.60(3029.0-laptop) 0.49(1267.0-mouse) 0.36(3362.0-remote) 0.48(1605.0-keyboard) 0.30(3866.0-cell phone) 0.59(957.0-microwave) 0.38(2060.0-oven) 0.11(62.0-toaster) 0.46(3172.0-sink) 0.48(1492.0-refrigerator) 0.20(12371.0-book) 0.63(3412.0-clock) 0.39(4288.0-vase) 0.24(855.0-scissors) 0.48(2929.0-teddy bear) 0.00(0.0-hair drier) 0.22(979.0-toothbrush)
2021-11-01 00:12:57,951 - mmdet - INFO - pseudo gt: 193274.0 5265.0 32140.0 6717.0 3896.0 4649.0 3309.0 7262.0 7447.0 9636.0 1394.0 1482.0 930.0 7507.0 7576.0 3458.0 4160.0 4713.0 7300.0 5984.0 4209.0 972.0 3995.0 3788.0 6421.0 8325.0 9105.0 4884.0 4736.0 1979.0 4845.0 2033.0 4464.0 6425.0 2399.0 2793.0 4291.0 4339.0 3566.0 17963.0 6177.0 15396.0 4118.0 5987.0 4509.0 10525.0 6738.0 4190.0 3276.0 4538.0 5662.0 5678.0 2197.0 4404.0 5133.0 4883.0 28868.0 4330.0 6629.0 3106.0 11941.0 3163.0 4346.0 3725.0 1591.0 4232.0 2062.0 4687.0 1291.0 2442.0 163.0 4102.0 2078.0 17677.0 4831.0 4899.0 993.0 3356.0 135.0 1330.0
2021-11-01 00:12:57,951 - mmdet - INFO - pseudo mining: 44424.0 174.0 4621.0 633.0 670.0 1027.0 506.0 75.0 215.0 1199.0 543.0 742.0 53.0 38.0 317.0 564.0 472.0 835.0 1421.0 899.0 1601.0 306.0 1691.0 1791.0 15.0 578.0 20.0 358.0 143.0 697.0 91.0 10.0 1307.0 1254.0 193.0 626.0 739.0 232.0 985.0 1605.0 534.0 1513.0 21.0 31.0 19.0 768.0 103.0 19.0 63.0 66.0 296.0 83.0 13.0 689.0 722.0 127.0 226.0 65.0 305.0 75.0 179.0 1177.0 1322.0 652.0 473.0 194.0 231.0 275.0 263.0 127.0 0.0 569.0 151.0 33.0 2388.0 429.0 5.0 264.0 0.0 7.0
2021-11-01 00:13:56,900 - mmdet - INFO - Evaluating bbox...
2021-11-01 00:15:10,428 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.454 | bicycle      | 0.212 | car            | 0.367 |
| motorcycle    | 0.331 | airplane     | 0.472 | bus            | 0.518 |
| train         | 0.489 | truck        | 0.246 | boat           | 0.179 |
| traffic light | 0.227 | fire hydrant | 0.547 | stop sign      | 0.564 |
| parking meter | 0.407 | bench        | 0.163 | bird           | 0.249 |
| cat           | 0.454 | dog          | 0.465 | horse          | 0.437 |
| sheep         | 0.384 | cow          | 0.421 | elephant       | 0.497 |
| bear          | 0.544 | zebra        | 0.539 | giraffe        | 0.562 |
| backpack      | 0.104 | umbrella     | 0.262 | handbag        | 0.080 |
| tie           | 0.222 | suitcase     | 0.182 | frisbee        | 0.542 |
| skis          | 0.146 | snowboard    | 0.190 | sports ball    | 0.381 |
| kite          | 0.301 | baseball bat | 0.187 | baseball glove | 0.284 |
| skateboard    | 0.357 | surfboard    | 0.240 | tennis racket  | 0.349 |
| bottle        | 0.304 | wine glass   | 0.263 | cup            | 0.310 |
| fork          | 0.184 | knife        | 0.081 | spoon          | 0.075 |
| bowl          | 0.343 | banana       | 0.152 | apple          | 0.093 |
| sandwich      | 0.237 | orange       | 0.214 | broccoli       | 0.170 |
| carrot        | 0.126 | hot dog      | 0.137 | pizza          | 0.390 |
| donut         | 0.253 | cake         | 0.231 | chair          | 0.179 |
| couch         | 0.324 | potted plant | 0.168 | bed            | 0.339 |
| dining table  | 0.182 | toilet       | 0.461 | tv             | 0.453 |
| laptop        | 0.459 | mouse        | 0.509 | remote         | 0.190 |
| keyboard      | 0.404 | cell phone   | 0.270 | microwave      | 0.441 |
| oven          | 0.245 | toaster      | 0.244 | sink           | 0.260 |
| refrigerator  | 0.368 | book         | 0.058 | clock          | 0.422 |
| vase          | 0.292 | scissors     | 0.183 | teddy bear     | 0.315 |
| hair drier    | 0.000 | toothbrush   | 0.113 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 00:16:07,104 - mmdet - INFO - Evaluating bbox...
2021-11-01 00:17:20,369 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.478 | bicycle      | 0.229 | car            | 0.391 |
| motorcycle    | 0.358 | airplane     | 0.523 | bus            | 0.565 |
| train         | 0.518 | truck        | 0.265 | boat           | 0.213 |
| traffic light | 0.246 | fire hydrant | 0.563 | stop sign      | 0.610 |
| parking meter | 0.441 | bench        | 0.173 | bird           | 0.283 |
| cat           | 0.541 | dog          | 0.505 | horse          | 0.484 |
| sheep         | 0.404 | cow          | 0.472 | elephant       | 0.546 |
| bear          | 0.603 | zebra        | 0.567 | giraffe        | 0.586 |
| backpack      | 0.117 | umbrella     | 0.292 | handbag        | 0.087 |
| tie           | 0.230 | suitcase     | 0.222 | frisbee        | 0.567 |
| skis          | 0.168 | snowboard    | 0.216 | sports ball    | 0.388 |
| kite          | 0.328 | baseball bat | 0.222 | baseball glove | 0.305 |
| skateboard    | 0.404 | surfboard    | 0.291 | tennis racket  | 0.378 |
| bottle        | 0.326 | wine glass   | 0.286 | cup            | 0.345 |
| fork          | 0.201 | knife        | 0.108 | spoon          | 0.095 |
| bowl          | 0.368 | banana       | 0.169 | apple          | 0.120 |
| sandwich      | 0.270 | orange       | 0.255 | broccoli       | 0.195 |
| carrot        | 0.138 | hot dog      | 0.166 | pizza          | 0.429 |
| donut         | 0.336 | cake         | 0.253 | chair          | 0.195 |
| couch         | 0.341 | potted plant | 0.193 | bed            | 0.337 |
| dining table  | 0.198 | toilet       | 0.507 | tv             | 0.481 |
| laptop        | 0.505 | mouse        | 0.529 | remote         | 0.198 |
| keyboard      | 0.405 | cell phone   | 0.288 | microwave      | 0.446 |
| oven          | 0.260 | toaster      | 0.393 | sink           | 0.288 |
| refrigerator  | 0.417 | book         | 0.070 | clock          | 0.441 |
| vase          | 0.326 | scissors     | 0.211 | teddy bear     | 0.344 |
| hair drier    | 0.010 | toothbrush   | 0.104 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 00:18:48,919 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 00:18:48,920 - mmdet - INFO - Iter [22000/40000]	lr: 2.000e-02, eta: 9:38:32, time: 1.698, data_time: 0.027, memory: 26484, bbox_mAP: 0.3290, bbox_mAP_50: 0.5330, bbox_mAP_75: 0.3510, bbox_mAP_s: 0.2010, bbox_mAP_m: 0.3590, bbox_mAP_l: 0.4260, bbox_mAP_copypaste: 0.329 0.533 0.351 0.201 0.359 0.426, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0466, loss_cls: 0.2059, acc: 92.8436, loss_bbox: 0.2495, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1854, acc_unlabeled: 92.3959, loss_bbox_unlabeled: 0.1799, losses_cls_ig_unlabeled: 0.1847, pseudo_num: 1.4975, pseudo_num_ig: 5.6366, pseudo_num_mining: 0.9915, pseudo_num(acc): 0.8846, pseudo_num ig(acc): 0.4887, loss: 1.2578
2021-11-01 00:20:13,544 - mmdet - INFO - Iter [22050/40000]	lr: 2.000e-02, eta: 9:41:30, time: 8.674, data_time: 7.011, memory: 26484, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0487, loss_cls: 0.2113, acc: 92.6759, loss_bbox: 0.2546, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1882, acc_unlabeled: 92.3268, loss_bbox_unlabeled: 0.1845, losses_cls_ig_unlabeled: 0.1859, pseudo_num: 1.4974, pseudo_num_ig: 5.6367, pseudo_num_mining: 0.9921, pseudo_num(acc): 0.8846, pseudo_num ig(acc): 0.4888, loss: 1.2897
2021-11-01 00:21:38,163 - mmdet - INFO - Iter [22100/40000]	lr: 2.000e-02, eta: 9:39:42, time: 1.689, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0470, loss_cls: 0.2086, acc: 92.8213, loss_bbox: 0.2488, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1913, acc_unlabeled: 92.3561, loss_bbox_unlabeled: 0.1826, losses_cls_ig_unlabeled: 0.1834, pseudo_num: 1.4974, pseudo_num_ig: 5.6373, pseudo_num_mining: 0.9929, pseudo_num(acc): 0.8846, pseudo_num ig(acc): 0.4888, loss: 1.2723
2021-11-01 00:23:02,723 - mmdet - INFO - Iter [22150/40000]	lr: 2.000e-02, eta: 9:37:55, time: 1.695, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0494, loss_cls: 0.2155, acc: 92.5637, loss_bbox: 0.2551, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1940, acc_unlabeled: 92.0876, loss_bbox_unlabeled: 0.1880, losses_cls_ig_unlabeled: 0.1892, pseudo_num: 1.4974, pseudo_num_ig: 5.6375, pseudo_num_mining: 0.9934, pseudo_num(acc): 0.8847, pseudo_num ig(acc): 0.4888, loss: 1.3074
2021-11-01 00:24:28,224 - mmdet - INFO - Iter [22200/40000]	lr: 2.000e-02, eta: 9:36:09, time: 1.712, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0466, loss_cls: 0.2107, acc: 92.7048, loss_bbox: 0.2503, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1794, acc_unlabeled: 92.6038, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1756, pseudo_num: 1.4975, pseudo_num_ig: 5.6377, pseudo_num_mining: 0.9939, pseudo_num(acc): 0.8847, pseudo_num ig(acc): 0.4888, loss: 1.2465
2021-11-01 00:25:53,381 - mmdet - INFO - Iter [22250/40000]	lr: 2.000e-02, eta: 9:34:22, time: 1.701, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0503, loss_cls: 0.2146, acc: 92.5964, loss_bbox: 0.2524, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1848, acc_unlabeled: 92.3961, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1773, pseudo_num: 1.4975, pseudo_num_ig: 5.6378, pseudo_num_mining: 0.9944, pseudo_num(acc): 0.8847, pseudo_num ig(acc): 0.4889, loss: 1.2702
2021-11-01 00:27:17,916 - mmdet - INFO - Iter [22300/40000]	lr: 2.000e-02, eta: 9:32:35, time: 1.693, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0468, loss_cls: 0.2040, acc: 92.9867, loss_bbox: 0.2431, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1854, acc_unlabeled: 92.5677, loss_bbox_unlabeled: 0.1814, losses_cls_ig_unlabeled: 0.1811, pseudo_num: 1.4975, pseudo_num_ig: 5.6373, pseudo_num_mining: 0.9948, pseudo_num(acc): 0.8848, pseudo_num ig(acc): 0.4889, loss: 1.2516
2021-11-01 00:28:44,537 - mmdet - INFO - Iter [22350/40000]	lr: 2.000e-02, eta: 9:30:50, time: 1.733, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0477, loss_cls: 0.2128, acc: 92.6523, loss_bbox: 0.2590, loss_rpn_cls_unlabeled: 0.0842, loss_rpn_bbox_unlabeled: 0.0895, loss_cls_unlabeled: 0.1885, acc_unlabeled: 92.4457, loss_bbox_unlabeled: 0.1850, losses_cls_ig_unlabeled: 0.1778, pseudo_num: 1.4975, pseudo_num_ig: 5.6371, pseudo_num_mining: 0.9954, pseudo_num(acc): 0.8848, pseudo_num ig(acc): 0.4889, loss: 1.2770
2021-11-01 00:30:09,931 - mmdet - INFO - Iter [22400/40000]	lr: 2.000e-02, eta: 9:29:03, time: 1.697, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0487, loss_cls: 0.2133, acc: 92.6907, loss_bbox: 0.2497, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1915, acc_unlabeled: 92.3738, loss_bbox_unlabeled: 0.1853, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4974, pseudo_num_ig: 5.6371, pseudo_num_mining: 0.9960, pseudo_num(acc): 0.8849, pseudo_num ig(acc): 0.4890, loss: 1.2905
2021-11-01 00:31:34,788 - mmdet - INFO - Iter [22450/40000]	lr: 2.000e-02, eta: 9:27:17, time: 1.708, data_time: 0.036, memory: 26484, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0477, loss_cls: 0.2094, acc: 92.8263, loss_bbox: 0.2503, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1841, acc_unlabeled: 92.4531, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1826, pseudo_num: 1.4974, pseudo_num_ig: 5.6372, pseudo_num_mining: 0.9967, pseudo_num(acc): 0.8849, pseudo_num ig(acc): 0.4890, loss: 1.2663
2021-11-01 00:32:59,930 - mmdet - INFO - pseudo pos: 0.98(42053.0-person) 0.94(978.0-bicycle) 0.94(7070.0-car) 0.98(1294.0-motorcycle) 1.00(735.0-airplane) 1.00(832.0-bus) 0.99(813.0-train) 0.78(1673.0-truck) 0.77(1673.0-boat) 0.93(2225.0-traffic light) 0.99(257.0-fire hydrant) 0.99(282.0-stop sign) 0.95(203.0-parking meter) 0.77(1609.0-bench) 0.94(1542.0-bird) 0.98(809.0-cat) 0.98(811.0-dog) 0.99(1004.0-horse) 0.94(1632.0-sheep) 0.95(1192.0-cow) 1.00(819.0-elephant) 1.00(238.0-bear) 0.99(778.0-zebra) 0.99(793.0-giraffe) 0.60(1331.0-backpack) 0.84(1798.0-umbrella) 0.55(1711.0-handbag) 0.94(822.0-tie) 0.81(855.0-suitcase) 0.99(388.0-frisbee) 0.76(1006.0-skis) 0.81(375.0-snowboard) 0.98(943.0-sports ball) 0.91(1311.0-kite) 0.91(497.0-baseball bat) 0.97(520.0-baseball glove) 0.99(864.0-skateboard) 0.91(1088.0-surfboard) 0.99(653.0-tennis racket) 0.89(3447.0-bottle) 0.95(1175.0-wine glass) 0.90(3576.0-cup) 0.83(761.0-fork) 0.57(1310.0-knife) 0.54(954.0-spoon) 0.83(2492.0-bowl) 0.70(1629.0-banana) 0.57(795.0-apple) 0.84(796.0-sandwich) 0.67(1168.0-orange) 0.71(1170.0-broccoli) 0.57(1267.0-carrot) 0.81(429.0-hot dog) 0.95(908.0-pizza) 0.92(1146.0-donut) 0.88(938.0-cake) 0.81(5999.0-chair) 0.85(978.0-couch) 0.77(1450.0-potted plant) 0.96(668.0-bed) 0.74(3171.0-dining table) 0.95(565.0-toilet) 0.98(794.0-tv) 0.97(745.0-laptop) 0.98(327.0-mouse) 0.78(763.0-remote) 0.99(420.0-keyboard) 0.85(1051.0-cell phone) 0.99(214.0-microwave) 0.91(590.0-oven) 0.37(35.0-toaster) 0.85(850.0-sink) 0.98(426.0-refrigerator) 0.37(3210.0-book) 0.99(1008.0-clock) 0.91(1084.0-vase) 0.77(221.0-scissors) 0.94(803.0-teddy bear) 0.00(0.0-hair drier) 0.54(260.0-toothbrush)
2021-11-01 00:32:59,931 - mmdet - INFO - pseudo ig: 0.65(153386.0-person) 0.44(3836.0-bicycle) 0.50(26799.0-car) 0.59(5269.0-motorcycle) 0.72(2713.0-airplane) 0.68(3283.0-bus) 0.62(2636.0-train) 0.36(6354.0-truck) 0.36(6197.0-boat) 0.40(8490.0-traffic light) 0.73(1106.0-fire hydrant) 0.67(1104.0-stop sign) 0.37(749.0-parking meter) 0.22(5858.0-bench) 0.35(6208.0-bird) 0.75(2812.0-cat) 0.68(3010.0-dog) 0.62(3719.0-horse) 0.51(6379.0-sheep) 0.53(5176.0-cow) 0.79(3303.0-elephant) 0.70(804.0-bear) 0.81(2992.0-zebra) 0.88(2773.0-giraffe) 0.24(5258.0-backpack) 0.42(7372.0-umbrella) 0.21(7322.0-handbag) 0.46(3153.0-tie) 0.41(3232.0-suitcase) 0.62(1519.0-frisbee) 0.36(3773.0-skis) 0.35(1546.0-snowboard) 0.41(3709.0-sports ball) 0.48(4578.0-kite) 0.42(2081.0-baseball bat) 0.48(2039.0-baseball glove) 0.59(3225.0-skateboard) 0.44(4142.0-surfboard) 0.67(2693.0-tennis racket) 0.44(13740.0-bottle) 0.47(4943.0-wine glass) 0.37(14309.0-cup) 0.30(3314.0-fork) 0.24(4718.0-knife) 0.20(4139.0-spoon) 0.38(9961.0-bowl) 0.28(6546.0-banana) 0.22(3532.0-apple) 0.36(2679.0-sandwich) 0.27(4409.0-orange) 0.39(4512.0-broccoli) 0.25(4759.0-carrot) 0.33(1536.0-hot dog) 0.56(3449.0-pizza) 0.43(3978.0-donut) 0.39(3635.0-cake) 0.32(23264.0-chair) 0.40(3798.0-couch) 0.38(5408.0-potted plant) 0.53(2302.0-bed) 0.37(9135.0-dining table) 0.72(2364.0-toilet) 0.62(3366.0-tv) 0.59(3102.0-laptop) 0.49(1291.0-mouse) 0.36(3444.0-remote) 0.48(1646.0-keyboard) 0.30(3945.0-cell phone) 0.59(974.0-microwave) 0.38(2103.0-oven) 0.11(66.0-toaster) 0.46(3255.0-sink) 0.48(1546.0-refrigerator) 0.20(12636.0-book) 0.63(3476.0-clock) 0.39(4401.0-vase) 0.24(862.0-scissors) 0.48(3024.0-teddy bear) 0.00(0.0-hair drier) 0.22(999.0-toothbrush)
2021-11-01 00:32:59,931 - mmdet - INFO - pseudo gt: 197513.0 5389.0 32853.0 6851.0 4034.0 4738.0 3390.0 7447.0 7593.0 9865.0 1425.0 1526.0 947.0 7649.0 7774.0 3544.0 4261.0 4814.0 7493.0 6091.0 4349.0 1002.0 4116.0 3860.0 6561.0 8511.0 9322.0 4996.0 4840.0 2024.0 4928.0 2095.0 4558.0 6552.0 2475.0 2864.0 4373.0 4436.0 3632.0 18402.0 6285.0 15719.0 4186.0 6092.0 4591.0 10740.0 6860.0 4284.0 3353.0 4596.0 5795.0 5826.0 2233.0 4476.0 5256.0 4982.0 29453.0 4443.0 6797.0 3165.0 12188.0 3228.0 4442.0 3809.0 1634.0 4322.0 2116.0 4771.0 1310.0 2491.0 164.0 4193.0 2126.0 18199.0 4929.0 5026.0 1027.0 3476.0 143.0 1373.0
2021-11-01 00:32:59,931 - mmdet - INFO - pseudo mining: 45621.0 179.0 4770.0 655.0 706.0 1056.0 527.0 78.0 220.0 1234.0 553.0 765.0 53.0 39.0 328.0 591.0 494.0 855.0 1461.0 917.0 1649.0 318.0 1744.0 1826.0 17.0 593.0 21.0 369.0 147.0 723.0 94.0 10.0 1332.0 1296.0 203.0 652.0 754.0 243.0 1002.0 1642.0 540.0 1560.0 22.0 31.0 19.0 801.0 108.0 19.0 67.0 67.0 315.0 87.0 16.0 704.0 746.0 135.0 232.0 71.0 317.0 82.0 183.0 1212.0 1360.0 677.0 489.0 196.0 242.0 276.0 271.0 135.0 0.0 585.0 154.0 33.0 2439.0 442.0 5.0 274.0 0.0 10.0
2021-11-01 00:33:01,561 - mmdet - INFO - Iter [22500/40000]	lr: 2.000e-02, eta: 9:25:32, time: 1.733, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0484, loss_cls: 0.2124, acc: 92.6599, loss_bbox: 0.2542, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1943, acc_unlabeled: 92.3453, loss_bbox_unlabeled: 0.1864, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4972, pseudo_num_ig: 5.6374, pseudo_num_mining: 0.9973, pseudo_num(acc): 0.8849, pseudo_num ig(acc): 0.4890, loss: 1.2989
2021-11-01 00:34:26,792 - mmdet - INFO - Iter [22550/40000]	lr: 2.000e-02, eta: 9:23:46, time: 1.707, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0472, loss_cls: 0.2138, acc: 92.5686, loss_bbox: 0.2534, loss_rpn_cls_unlabeled: 0.0794, loss_rpn_bbox_unlabeled: 0.0886, loss_cls_unlabeled: 0.1815, acc_unlabeled: 92.5743, loss_bbox_unlabeled: 0.1787, losses_cls_ig_unlabeled: 0.1750, pseudo_num: 1.4971, pseudo_num_ig: 5.6373, pseudo_num_mining: 0.9979, pseudo_num(acc): 0.8850, pseudo_num ig(acc): 0.4891, loss: 1.2484
2021-11-01 00:35:51,583 - mmdet - INFO - Iter [22600/40000]	lr: 2.000e-02, eta: 9:22:00, time: 1.694, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0483, loss_cls: 0.2052, acc: 92.9235, loss_bbox: 0.2489, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0912, loss_cls_unlabeled: 0.1840, acc_unlabeled: 92.5350, loss_bbox_unlabeled: 0.1831, losses_cls_ig_unlabeled: 0.1774, pseudo_num: 1.4970, pseudo_num_ig: 5.6372, pseudo_num_mining: 0.9984, pseudo_num(acc): 0.8850, pseudo_num ig(acc): 0.4891, loss: 1.2585
2021-11-01 00:37:16,536 - mmdet - INFO - Iter [22650/40000]	lr: 2.000e-02, eta: 9:20:14, time: 1.700, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0458, loss_cls: 0.2037, acc: 92.9644, loss_bbox: 0.2453, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1925, acc_unlabeled: 92.4036, loss_bbox_unlabeled: 0.1911, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.4969, pseudo_num_ig: 5.6372, pseudo_num_mining: 0.9991, pseudo_num(acc): 0.8851, pseudo_num ig(acc): 0.4892, loss: 1.2696
2021-11-01 00:38:41,859 - mmdet - INFO - Iter [22700/40000]	lr: 2.000e-02, eta: 9:18:28, time: 1.705, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0497, loss_cls: 0.2127, acc: 92.6351, loss_bbox: 0.2559, loss_rpn_cls_unlabeled: 0.0842, loss_rpn_bbox_unlabeled: 0.0880, loss_cls_unlabeled: 0.1815, acc_unlabeled: 92.6804, loss_bbox_unlabeled: 0.1788, losses_cls_ig_unlabeled: 0.1714, pseudo_num: 1.4969, pseudo_num_ig: 5.6370, pseudo_num_mining: 0.9996, pseudo_num(acc): 0.8851, pseudo_num ig(acc): 0.4892, loss: 1.2560
2021-11-01 00:40:06,033 - mmdet - INFO - Iter [22750/40000]	lr: 2.000e-02, eta: 9:16:42, time: 1.680, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0487, loss_cls: 0.2109, acc: 92.5811, loss_bbox: 0.2582, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1825, acc_unlabeled: 92.4824, loss_bbox_unlabeled: 0.1785, losses_cls_ig_unlabeled: 0.1760, pseudo_num: 1.4970, pseudo_num_ig: 5.6366, pseudo_num_mining: 0.9999, pseudo_num(acc): 0.8852, pseudo_num ig(acc): 0.4892, loss: 1.2645
2021-11-01 00:41:30,861 - mmdet - INFO - Iter [22800/40000]	lr: 2.000e-02, eta: 9:14:56, time: 1.701, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0479, loss_cls: 0.2107, acc: 92.6653, loss_bbox: 0.2532, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1889, acc_unlabeled: 92.2098, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1934, pseudo_num: 1.4969, pseudo_num_ig: 5.6368, pseudo_num_mining: 1.0004, pseudo_num(acc): 0.8852, pseudo_num ig(acc): 0.4892, loss: 1.2887
2021-11-01 00:42:54,494 - mmdet - INFO - Iter [22850/40000]	lr: 2.000e-02, eta: 9:13:09, time: 1.672, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0486, loss_cls: 0.2052, acc: 92.8235, loss_bbox: 0.2492, loss_rpn_cls_unlabeled: 0.0791, loss_rpn_bbox_unlabeled: 0.0892, loss_cls_unlabeled: 0.1855, acc_unlabeled: 92.3987, loss_bbox_unlabeled: 0.1807, losses_cls_ig_unlabeled: 0.1836, pseudo_num: 1.4968, pseudo_num_ig: 5.6369, pseudo_num_mining: 1.0009, pseudo_num(acc): 0.8853, pseudo_num ig(acc): 0.4892, loss: 1.2526
2021-11-01 00:44:20,101 - mmdet - INFO - Iter [22900/40000]	lr: 2.000e-02, eta: 9:11:24, time: 1.712, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0497, loss_cls: 0.2174, acc: 92.4897, loss_bbox: 0.2605, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1902, acc_unlabeled: 92.3823, loss_bbox_unlabeled: 0.1840, losses_cls_ig_unlabeled: 0.1822, pseudo_num: 1.4966, pseudo_num_ig: 5.6366, pseudo_num_mining: 1.0014, pseudo_num(acc): 0.8853, pseudo_num ig(acc): 0.4893, loss: 1.2947
2021-11-01 00:45:46,315 - mmdet - INFO - Iter [22950/40000]	lr: 2.000e-02, eta: 9:09:39, time: 1.718, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0493, loss_cls: 0.2143, acc: 92.6274, loss_bbox: 0.2521, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1859, acc_unlabeled: 92.3158, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1854, pseudo_num: 1.4965, pseudo_num_ig: 5.6363, pseudo_num_mining: 1.0019, pseudo_num(acc): 0.8854, pseudo_num ig(acc): 0.4893, loss: 1.2791
2021-11-01 00:47:09,415 - mmdet - INFO - pseudo pos: 0.98(43000.0-person) 0.94(999.0-bicycle) 0.94(7193.0-car) 0.98(1317.0-motorcycle) 1.00(742.0-airplane) 1.00(847.0-bus) 0.99(829.0-train) 0.78(1717.0-truck) 0.77(1713.0-boat) 0.93(2266.0-traffic light) 0.99(268.0-fire hydrant) 0.99(288.0-stop sign) 0.95(206.0-parking meter) 0.77(1647.0-bench) 0.93(1601.0-bird) 0.98(831.0-cat) 0.98(829.0-dog) 0.99(1027.0-horse) 0.94(1670.0-sheep) 0.95(1223.0-cow) 1.00(839.0-elephant) 1.00(246.0-bear) 0.99(806.0-zebra) 0.99(803.0-giraffe) 0.61(1362.0-backpack) 0.84(1837.0-umbrella) 0.55(1757.0-handbag) 0.94(837.0-tie) 0.82(891.0-suitcase) 0.99(395.0-frisbee) 0.76(1032.0-skis) 0.82(386.0-snowboard) 0.98(972.0-sports ball) 0.91(1350.0-kite) 0.91(513.0-baseball bat) 0.97(531.0-baseball glove) 0.99(882.0-skateboard) 0.91(1109.0-surfboard) 0.99(674.0-tennis racket) 0.89(3523.0-bottle) 0.95(1189.0-wine glass) 0.90(3649.0-cup) 0.83(775.0-fork) 0.57(1330.0-knife) 0.54(973.0-spoon) 0.84(2537.0-bowl) 0.70(1649.0-banana) 0.57(815.0-apple) 0.84(816.0-sandwich) 0.67(1179.0-orange) 0.71(1180.0-broccoli) 0.58(1304.0-carrot) 0.81(446.0-hot dog) 0.95(925.0-pizza) 0.93(1156.0-donut) 0.88(948.0-cake) 0.81(6160.0-chair) 0.85(1004.0-couch) 0.77(1490.0-potted plant) 0.96(682.0-bed) 0.74(3240.0-dining table) 0.95(571.0-toilet) 0.98(806.0-tv) 0.98(763.0-laptop) 0.98(339.0-mouse) 0.79(770.0-remote) 0.99(429.0-keyboard) 0.85(1076.0-cell phone) 0.99(220.0-microwave) 0.91(605.0-oven) 0.35(37.0-toaster) 0.85(876.0-sink) 0.98(442.0-refrigerator) 0.37(3291.0-book) 0.99(1032.0-clock) 0.91(1115.0-vase) 0.77(227.0-scissors) 0.94(826.0-teddy bear) 0.00(0.0-hair drier) 0.54(264.0-toothbrush)
2021-11-01 00:47:09,416 - mmdet - INFO - pseudo ig: 0.65(156699.0-person) 0.45(3904.0-bicycle) 0.50(27408.0-car) 0.59(5351.0-motorcycle) 0.72(2756.0-airplane) 0.67(3389.0-bus) 0.62(2723.0-train) 0.35(6520.0-truck) 0.36(6293.0-boat) 0.40(8711.0-traffic light) 0.72(1121.0-fire hydrant) 0.67(1130.0-stop sign) 0.37(782.0-parking meter) 0.22(5994.0-bench) 0.35(6363.0-bird) 0.75(2882.0-cat) 0.67(3068.0-dog) 0.63(3769.0-horse) 0.52(6488.0-sheep) 0.53(5260.0-cow) 0.79(3366.0-elephant) 0.70(824.0-bear) 0.81(3074.0-zebra) 0.88(2812.0-giraffe) 0.24(5353.0-backpack) 0.42(7452.0-umbrella) 0.21(7470.0-handbag) 0.46(3221.0-tie) 0.41(3309.0-suitcase) 0.63(1549.0-frisbee) 0.36(3866.0-skis) 0.35(1570.0-snowboard) 0.41(3766.0-sports ball) 0.48(4687.0-kite) 0.42(2126.0-baseball bat) 0.48(2085.0-baseball glove) 0.59(3285.0-skateboard) 0.45(4242.0-surfboard) 0.68(2772.0-tennis racket) 0.44(14043.0-bottle) 0.46(5016.0-wine glass) 0.37(14596.0-cup) 0.30(3389.0-fork) 0.24(4810.0-knife) 0.20(4216.0-spoon) 0.38(10171.0-bowl) 0.28(6646.0-banana) 0.22(3590.0-apple) 0.36(2758.0-sandwich) 0.27(4486.0-orange) 0.39(4623.0-broccoli) 0.25(4896.0-carrot) 0.33(1557.0-hot dog) 0.56(3516.0-pizza) 0.43(4078.0-donut) 0.39(3702.0-cake) 0.32(23712.0-chair) 0.41(3869.0-couch) 0.38(5550.0-potted plant) 0.53(2349.0-bed) 0.37(9337.0-dining table) 0.72(2423.0-toilet) 0.62(3460.0-tv) 0.59(3172.0-laptop) 0.50(1331.0-mouse) 0.36(3505.0-remote) 0.48(1691.0-keyboard) 0.30(4036.0-cell phone) 0.59(988.0-microwave) 0.38(2154.0-oven) 0.11(72.0-toaster) 0.46(3343.0-sink) 0.48(1601.0-refrigerator) 0.20(12895.0-book) 0.63(3545.0-clock) 0.39(4517.0-vase) 0.24(882.0-scissors) 0.48(3116.0-teddy bear) 0.00(0.0-hair drier) 0.22(1020.0-toothbrush)
2021-11-01 00:47:09,416 - mmdet - INFO - pseudo gt: 201655.0 5519.0 33508.0 7002.0 4085.0 4846.0 3472.0 7617.0 7749.0 10103.0 1448.0 1555.0 976.0 7834.0 7982.0 3632.0 4336.0 4892.0 7635.0 6212.0 4442.0 1027.0 4224.0 3927.0 6704.0 8651.0 9512.0 5088.0 4972.0 2067.0 5073.0 2149.0 4705.0 6720.0 2524.0 2926.0 4445.0 4533.0 3751.0 18777.0 6352.0 16030.0 4264.0 6196.0 4697.0 10984.0 6980.0 4373.0 3431.0 4684.0 5915.0 6013.0 2271.0 4547.0 5354.0 5081.0 30129.0 4542.0 6960.0 3231.0 12452.0 3311.0 4553.0 3909.0 1690.0 4389.0 2172.0 4886.0 1331.0 2549.0 170.0 4307.0 2180.0 18584.0 5042.0 5161.0 1045.0 3571.0 147.0 1421.0
2021-11-01 00:47:09,416 - mmdet - INFO - pseudo mining: 46760.0 184.0 4883.0 674.0 720.0 1078.0 543.0 82.0 226.0 1270.0 558.0 781.0 60.0 41.0 343.0 616.0 506.0 877.0 1490.0 940.0 1680.0 328.0 1794.0 1858.0 18.0 598.0 22.0 380.0 152.0 742.0 96.0 11.0 1364.0 1346.0 205.0 674.0 773.0 250.0 1030.0 1682.0 551.0 1596.0 22.0 34.0 20.0 828.0 113.0 19.0 70.0 67.0 333.0 89.0 16.0 720.0 774.0 137.0 240.0 77.0 333.0 88.0 192.0 1256.0 1413.0 699.0 510.0 199.0 251.0 289.0 275.0 144.0 0.0 607.0 159.0 36.0 2494.0 455.0 5.0 284.0 0.0 13.0
2021-11-01 00:48:40,057 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 00:48:40,058 - mmdet - INFO - Iter [23000/40000]	lr: 2.000e-02, eta: 9:07:54, time: 1.702, data_time: 0.036, memory: 26484, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0486, loss_cls: 0.2077, acc: 92.7310, loss_bbox: 0.2565, loss_rpn_cls_unlabeled: 0.0854, loss_rpn_bbox_unlabeled: 0.0900, loss_cls_unlabeled: 0.1804, acc_unlabeled: 92.4817, loss_bbox_unlabeled: 0.1736, losses_cls_ig_unlabeled: 0.1778, pseudo_num: 1.4963, pseudo_num_ig: 5.6361, pseudo_num_mining: 1.0023, pseudo_num(acc): 0.8854, pseudo_num ig(acc): 0.4893, loss: 1.2532
2021-11-01 00:50:04,230 - mmdet - INFO - Iter [23050/40000]	lr: 2.000e-02, eta: 9:07:13, time: 3.461, data_time: 1.809, memory: 26484, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0489, loss_cls: 0.2126, acc: 92.6410, loss_bbox: 0.2549, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1902, acc_unlabeled: 92.2885, loss_bbox_unlabeled: 0.1852, losses_cls_ig_unlabeled: 0.1814, pseudo_num: 1.4961, pseudo_num_ig: 5.6360, pseudo_num_mining: 1.0028, pseudo_num(acc): 0.8854, pseudo_num ig(acc): 0.4894, loss: 1.2832
2021-11-01 00:51:28,726 - mmdet - INFO - Iter [23100/40000]	lr: 2.000e-02, eta: 9:05:28, time: 1.691, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0485, loss_cls: 0.2107, acc: 92.6714, loss_bbox: 0.2570, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1903, acc_unlabeled: 92.3170, loss_bbox_unlabeled: 0.1899, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4961, pseudo_num_ig: 5.6363, pseudo_num_mining: 1.0035, pseudo_num(acc): 0.8855, pseudo_num ig(acc): 0.4894, loss: 1.2939
2021-11-01 00:52:53,668 - mmdet - INFO - Iter [23150/40000]	lr: 2.000e-02, eta: 9:03:42, time: 1.699, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0501, loss_cls: 0.2102, acc: 92.6978, loss_bbox: 0.2520, loss_rpn_cls_unlabeled: 0.0825, loss_rpn_bbox_unlabeled: 0.0901, loss_cls_unlabeled: 0.1792, acc_unlabeled: 92.5717, loss_bbox_unlabeled: 0.1781, losses_cls_ig_unlabeled: 0.1754, pseudo_num: 1.4961, pseudo_num_ig: 5.6363, pseudo_num_mining: 1.0041, pseudo_num(acc): 0.8855, pseudo_num ig(acc): 0.4894, loss: 1.2502
2021-11-01 00:54:20,068 - mmdet - INFO - Iter [23200/40000]	lr: 2.000e-02, eta: 9:01:58, time: 1.728, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0490, loss_cls: 0.2038, acc: 92.8994, loss_bbox: 0.2502, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1763, acc_unlabeled: 92.5813, loss_bbox_unlabeled: 0.1772, losses_cls_ig_unlabeled: 0.1764, pseudo_num: 1.4959, pseudo_num_ig: 5.6363, pseudo_num_mining: 1.0046, pseudo_num(acc): 0.8855, pseudo_num ig(acc): 0.4895, loss: 1.2417
2021-11-01 00:55:44,071 - mmdet - INFO - Iter [23250/40000]	lr: 2.000e-02, eta: 9:00:12, time: 1.680, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0453, loss_cls: 0.2050, acc: 92.8630, loss_bbox: 0.2484, loss_rpn_cls_unlabeled: 0.0903, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1844, acc_unlabeled: 92.5377, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1782, pseudo_num: 1.4958, pseudo_num_ig: 5.6365, pseudo_num_mining: 1.0052, pseudo_num(acc): 0.8855, pseudo_num ig(acc): 0.4895, loss: 1.2589
2021-11-01 00:57:10,851 - mmdet - INFO - Iter [23300/40000]	lr: 2.000e-02, eta: 8:58:28, time: 1.734, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0482, loss_cls: 0.2134, acc: 92.5939, loss_bbox: 0.2554, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1849, acc_unlabeled: 92.3646, loss_bbox_unlabeled: 0.1791, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4956, pseudo_num_ig: 5.6365, pseudo_num_mining: 1.0059, pseudo_num(acc): 0.8856, pseudo_num ig(acc): 0.4895, loss: 1.2745
2021-11-01 00:58:35,252 - mmdet - INFO - Iter [23350/40000]	lr: 2.000e-02, eta: 8:56:42, time: 1.690, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0467, loss_cls: 0.2085, acc: 92.7329, loss_bbox: 0.2502, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1874, acc_unlabeled: 92.4266, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1802, pseudo_num: 1.4956, pseudo_num_ig: 5.6365, pseudo_num_mining: 1.0065, pseudo_num(acc): 0.8856, pseudo_num ig(acc): 0.4895, loss: 1.2647
2021-11-01 01:00:01,007 - mmdet - INFO - Iter [23400/40000]	lr: 2.000e-02, eta: 8:54:58, time: 1.714, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0479, loss_cls: 0.2119, acc: 92.6383, loss_bbox: 0.2553, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1989, acc_unlabeled: 92.3174, loss_bbox_unlabeled: 0.1890, losses_cls_ig_unlabeled: 0.1879, pseudo_num: 1.4956, pseudo_num_ig: 5.6362, pseudo_num_mining: 1.0069, pseudo_num(acc): 0.8856, pseudo_num ig(acc): 0.4896, loss: 1.3025
2021-11-01 01:02:45,742 - mmdet - INFO - Iter [23450/40000]	lr: 2.000e-02, eta: 8:54:09, time: 3.295, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0490, loss_cls: 0.2171, acc: 92.4799, loss_bbox: 0.2607, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1931, acc_unlabeled: 92.2755, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1915, pseudo_num: 1.4956, pseudo_num_ig: 5.6367, pseudo_num_mining: 1.0077, pseudo_num(acc): 0.8857, pseudo_num ig(acc): 0.4896, loss: 1.3081
2021-11-01 01:04:09,810 - mmdet - INFO - pseudo pos: 0.98(43971.0-person) 0.94(1032.0-bicycle) 0.94(7377.0-car) 0.98(1339.0-motorcycle) 1.00(760.0-airplane) 1.00(863.0-bus) 0.99(852.0-train) 0.78(1752.0-truck) 0.77(1762.0-boat) 0.93(2315.0-traffic light) 0.99(278.0-fire hydrant) 0.99(293.0-stop sign) 0.94(210.0-parking meter) 0.77(1681.0-bench) 0.93(1623.0-bird) 0.98(855.0-cat) 0.98(843.0-dog) 0.99(1052.0-horse) 0.94(1704.0-sheep) 0.95(1263.0-cow) 1.00(856.0-elephant) 1.00(249.0-bear) 0.99(814.0-zebra) 0.99(826.0-giraffe) 0.61(1393.0-backpack) 0.84(1887.0-umbrella) 0.55(1788.0-handbag) 0.94(859.0-tie) 0.82(906.0-suitcase) 1.00(402.0-frisbee) 0.76(1053.0-skis) 0.81(404.0-snowboard) 0.98(986.0-sports ball) 0.91(1373.0-kite) 0.91(521.0-baseball bat) 0.97(542.0-baseball glove) 0.99(898.0-skateboard) 0.91(1139.0-surfboard) 0.99(679.0-tennis racket) 0.89(3573.0-bottle) 0.95(1216.0-wine glass) 0.90(3737.0-cup) 0.83(793.0-fork) 0.57(1356.0-knife) 0.55(992.0-spoon) 0.84(2589.0-bowl) 0.70(1704.0-banana) 0.57(825.0-apple) 0.84(822.0-sandwich) 0.67(1203.0-orange) 0.71(1203.0-broccoli) 0.58(1333.0-carrot) 0.81(459.0-hot dog) 0.96(947.0-pizza) 0.93(1183.0-donut) 0.88(963.0-cake) 0.81(6266.0-chair) 0.86(1022.0-couch) 0.77(1520.0-potted plant) 0.96(703.0-bed) 0.74(3306.0-dining table) 0.96(581.0-toilet) 0.98(824.0-tv) 0.97(778.0-laptop) 0.97(346.0-mouse) 0.79(793.0-remote) 0.99(441.0-keyboard) 0.85(1106.0-cell phone) 0.99(222.0-microwave) 0.91(613.0-oven) 0.35(37.0-toaster) 0.85(889.0-sink) 0.98(449.0-refrigerator) 0.37(3357.0-book) 0.99(1043.0-clock) 0.91(1140.0-vase) 0.76(235.0-scissors) 0.93(845.0-teddy bear) 0.00(0.0-hair drier) 0.55(266.0-toothbrush)
2021-11-01 01:04:09,810 - mmdet - INFO - pseudo ig: 0.65(160122.0-person) 0.44(4012.0-bicycle) 0.50(28113.0-car) 0.59(5476.0-motorcycle) 0.72(2810.0-airplane) 0.67(3467.0-bus) 0.62(2789.0-train) 0.36(6693.0-truck) 0.36(6526.0-boat) 0.40(8905.0-traffic light) 0.72(1145.0-fire hydrant) 0.66(1179.0-stop sign) 0.38(792.0-parking meter) 0.22(6136.0-bench) 0.35(6556.0-bird) 0.75(2945.0-cat) 0.67(3130.0-dog) 0.62(3841.0-horse) 0.52(6611.0-sheep) 0.54(5402.0-cow) 0.79(3453.0-elephant) 0.71(843.0-bear) 0.80(3168.0-zebra) 0.88(2867.0-giraffe) 0.24(5484.0-backpack) 0.42(7634.0-umbrella) 0.21(7630.0-handbag) 0.46(3267.0-tie) 0.42(3371.0-suitcase) 0.63(1583.0-frisbee) 0.36(3963.0-skis) 0.34(1608.0-snowboard) 0.41(3864.0-sports ball) 0.48(4825.0-kite) 0.42(2181.0-baseball bat) 0.48(2115.0-baseball glove) 0.60(3349.0-skateboard) 0.44(4322.0-surfboard) 0.68(2826.0-tennis racket) 0.44(14328.0-bottle) 0.47(5068.0-wine glass) 0.37(14903.0-cup) 0.30(3431.0-fork) 0.24(4882.0-knife) 0.20(4296.0-spoon) 0.38(10373.0-bowl) 0.28(6804.0-banana) 0.22(3631.0-apple) 0.36(2830.0-sandwich) 0.27(4593.0-orange) 0.39(4714.0-broccoli) 0.25(4986.0-carrot) 0.33(1614.0-hot dog) 0.56(3595.0-pizza) 0.43(4123.0-donut) 0.39(3776.0-cake) 0.32(24113.0-chair) 0.41(3938.0-couch) 0.38(5669.0-potted plant) 0.53(2406.0-bed) 0.37(9518.0-dining table) 0.73(2466.0-toilet) 0.62(3543.0-tv) 0.59(3225.0-laptop) 0.50(1368.0-mouse) 0.36(3583.0-remote) 0.48(1748.0-keyboard) 0.30(4110.0-cell phone) 0.59(1002.0-microwave) 0.38(2208.0-oven) 0.11(76.0-toaster) 0.46(3417.0-sink) 0.48(1635.0-refrigerator) 0.20(13215.0-book) 0.63(3636.0-clock) 0.39(4596.0-vase) 0.24(906.0-scissors) 0.48(3162.0-teddy bear) 0.00(0.0-hair drier) 0.22(1042.0-toothbrush)
2021-11-01 01:04:09,810 - mmdet - INFO - pseudo gt: 206087.0 5663.0 34336.0 7154.0 4156.0 4938.0 3554.0 7819.0 7964.0 10304.0 1487.0 1593.0 1000.0 8020.0 8165.0 3712.0 4418.0 4990.0 7802.0 6434.0 4563.0 1064.0 4311.0 4010.0 6874.0 8857.0 9744.0 5175.0 5058.0 2126.0 5203.0 2201.0 4810.0 6880.0 2565.0 2972.0 4543.0 4630.0 3828.0 19139.0 6461.0 16370.0 4360.0 6355.0 4806.0 11243.0 7197.0 4461.0 3478.0 4781.0 6066.0 6136.0 2345.0 4661.0 5474.0 5176.0 30680.0 4626.0 7100.0 3308.0 12692.0 3371.0 4669.0 3961.0 1731.0 4492.0 2227.0 4997.0 1350.0 2606.0 172.0 4398.0 2231.0 19034.0 5164.0 5267.0 1078.0 3656.0 152.0 1438.0
2021-11-01 01:04:09,811 - mmdet - INFO - pseudo mining: 48030.0 192.0 5043.0 690.0 739.0 1106.0 561.0 85.0 240.0 1294.0 576.0 811.0 61.0 43.0 358.0 631.0 516.0 898.0 1529.0 1001.0 1739.0 341.0 1843.0 1897.0 18.0 635.0 24.0 389.0 160.0 763.0 105.0 11.0 1399.0 1386.0 211.0 688.0 796.0 253.0 1064.0 1709.0 567.0 1645.0 25.0 34.0 20.0 859.0 114.0 19.0 78.0 70.0 345.0 93.0 16.0 744.0 791.0 139.0 247.0 77.0 346.0 90.0 197.0 1280.0 1453.0 709.0 526.0 205.0 261.0 296.0 280.0 157.0 0.0 631.0 166.0 42.0 2562.0 466.0 5.0 288.0 0.0 13.0
2021-11-01 01:04:11,481 - mmdet - INFO - Iter [23500/40000]	lr: 2.000e-02, eta: 8:52:25, time: 1.717, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0488, loss_cls: 0.2196, acc: 92.4490, loss_bbox: 0.2603, loss_rpn_cls_unlabeled: 0.0906, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.5703, loss_bbox_unlabeled: 0.1857, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4955, pseudo_num_ig: 5.6369, pseudo_num_mining: 1.0084, pseudo_num(acc): 0.8857, pseudo_num ig(acc): 0.4896, loss: 1.3009
2021-11-01 01:05:38,179 - mmdet - INFO - Iter [23550/40000]	lr: 2.000e-02, eta: 8:50:41, time: 1.728, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0484, loss_cls: 0.2095, acc: 92.7157, loss_bbox: 0.2532, loss_rpn_cls_unlabeled: 0.0944, loss_rpn_bbox_unlabeled: 0.0988, loss_cls_unlabeled: 0.1917, acc_unlabeled: 92.3892, loss_bbox_unlabeled: 0.1957, losses_cls_ig_unlabeled: 0.1850, pseudo_num: 1.4955, pseudo_num_ig: 5.6370, pseudo_num_mining: 1.0091, pseudo_num(acc): 0.8858, pseudo_num ig(acc): 0.4896, loss: 1.3085
2021-11-01 01:07:04,765 - mmdet - INFO - Iter [23600/40000]	lr: 2.000e-02, eta: 8:48:57, time: 1.736, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0483, loss_cls: 0.2119, acc: 92.6481, loss_bbox: 0.2553, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1891, acc_unlabeled: 92.3495, loss_bbox_unlabeled: 0.1878, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4956, pseudo_num_ig: 5.6375, pseudo_num_mining: 1.0099, pseudo_num(acc): 0.8858, pseudo_num ig(acc): 0.4897, loss: 1.2896
2021-11-01 01:08:29,419 - mmdet - INFO - Iter [23650/40000]	lr: 2.000e-02, eta: 8:47:12, time: 1.693, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0497, loss_cls: 0.2102, acc: 92.6895, loss_bbox: 0.2535, loss_rpn_cls_unlabeled: 0.0823, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1848, acc_unlabeled: 92.6138, loss_bbox_unlabeled: 0.1887, losses_cls_ig_unlabeled: 0.1739, pseudo_num: 1.4957, pseudo_num_ig: 5.6377, pseudo_num_mining: 1.0105, pseudo_num(acc): 0.8858, pseudo_num ig(acc): 0.4897, loss: 1.2693
2021-11-01 01:09:56,357 - mmdet - INFO - Iter [23700/40000]	lr: 2.000e-02, eta: 8:45:28, time: 1.737, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0485, loss_cls: 0.2080, acc: 92.7654, loss_bbox: 0.2546, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1856, acc_unlabeled: 92.5272, loss_bbox_unlabeled: 0.1830, losses_cls_ig_unlabeled: 0.1780, pseudo_num: 1.4958, pseudo_num_ig: 5.6375, pseudo_num_mining: 1.0111, pseudo_num(acc): 0.8858, pseudo_num ig(acc): 0.4898, loss: 1.2700
2021-11-01 01:11:22,988 - mmdet - INFO - Iter [23750/40000]	lr: 2.000e-02, eta: 8:43:45, time: 1.733, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0496, loss_cls: 0.2127, acc: 92.6329, loss_bbox: 0.2560, loss_rpn_cls_unlabeled: 0.0915, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1973, acc_unlabeled: 92.3237, loss_bbox_unlabeled: 0.1930, losses_cls_ig_unlabeled: 0.1828, pseudo_num: 1.4959, pseudo_num_ig: 5.6375, pseudo_num_mining: 1.0117, pseudo_num(acc): 0.8858, pseudo_num ig(acc): 0.4898, loss: 1.3117
2021-11-01 01:12:47,738 - mmdet - INFO - Iter [23800/40000]	lr: 2.000e-02, eta: 8:42:00, time: 1.697, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0489, loss_cls: 0.2133, acc: 92.5708, loss_bbox: 0.2550, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.2003, acc_unlabeled: 92.3618, loss_bbox_unlabeled: 0.1938, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4961, pseudo_num_ig: 5.6376, pseudo_num_mining: 1.0122, pseudo_num(acc): 0.8859, pseudo_num ig(acc): 0.4898, loss: 1.3048
2021-11-01 01:14:14,125 - mmdet - INFO - Iter [23850/40000]	lr: 2.000e-02, eta: 8:40:16, time: 1.726, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0483, loss_cls: 0.2090, acc: 92.7537, loss_bbox: 0.2529, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1841, acc_unlabeled: 92.4376, loss_bbox_unlabeled: 0.1844, losses_cls_ig_unlabeled: 0.1752, pseudo_num: 1.4962, pseudo_num_ig: 5.6376, pseudo_num_mining: 1.0127, pseudo_num(acc): 0.8859, pseudo_num ig(acc): 0.4898, loss: 1.2686
2021-11-01 01:15:39,429 - mmdet - INFO - Iter [23900/40000]	lr: 2.000e-02, eta: 8:38:32, time: 1.707, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0496, loss_cls: 0.2145, acc: 92.5392, loss_bbox: 0.2591, loss_rpn_cls_unlabeled: 0.0845, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1934, acc_unlabeled: 92.2267, loss_bbox_unlabeled: 0.1928, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.4964, pseudo_num_ig: 5.6377, pseudo_num_mining: 1.0133, pseudo_num(acc): 0.8859, pseudo_num ig(acc): 0.4898, loss: 1.3042
2021-11-01 01:17:04,378 - mmdet - INFO - Iter [23950/40000]	lr: 2.000e-02, eta: 8:36:48, time: 1.699, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0473, loss_cls: 0.2108, acc: 92.6364, loss_bbox: 0.2562, loss_rpn_cls_unlabeled: 0.0802, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1936, acc_unlabeled: 92.5300, loss_bbox_unlabeled: 0.1894, losses_cls_ig_unlabeled: 0.1728, pseudo_num: 1.4966, pseudo_num_ig: 5.6376, pseudo_num_mining: 1.0138, pseudo_num(acc): 0.8860, pseudo_num ig(acc): 0.4898, loss: 1.2715
2021-11-01 01:18:27,520 - mmdet - INFO - pseudo pos: 0.98(44949.0-person) 0.94(1046.0-bicycle) 0.94(7584.0-car) 0.98(1362.0-motorcycle) 1.00(781.0-airplane) 1.00(890.0-bus) 0.99(860.0-train) 0.78(1803.0-truck) 0.78(1819.0-boat) 0.93(2400.0-traffic light) 0.99(281.0-fire hydrant) 0.99(300.0-stop sign) 0.94(211.0-parking meter) 0.77(1718.0-bench) 0.93(1653.0-bird) 0.98(884.0-cat) 0.98(861.0-dog) 0.99(1086.0-horse) 0.94(1733.0-sheep) 0.95(1282.0-cow) 1.00(862.0-elephant) 1.00(252.0-bear) 0.99(839.0-zebra) 0.99(846.0-giraffe) 0.61(1422.0-backpack) 0.85(1924.0-umbrella) 0.56(1837.0-handbag) 0.93(874.0-tie) 0.82(925.0-suitcase) 1.00(409.0-frisbee) 0.76(1074.0-skis) 0.81(413.0-snowboard) 0.98(1013.0-sports ball) 0.91(1408.0-kite) 0.91(530.0-baseball bat) 0.97(558.0-baseball glove) 0.99(914.0-skateboard) 0.91(1171.0-surfboard) 0.99(689.0-tennis racket) 0.89(3663.0-bottle) 0.95(1230.0-wine glass) 0.90(3806.0-cup) 0.83(805.0-fork) 0.58(1375.0-knife) 0.54(1013.0-spoon) 0.84(2619.0-bowl) 0.70(1746.0-banana) 0.57(841.0-apple) 0.84(834.0-sandwich) 0.67(1235.0-orange) 0.71(1219.0-broccoli) 0.58(1348.0-carrot) 0.81(472.0-hot dog) 0.96(974.0-pizza) 0.93(1210.0-donut) 0.89(977.0-cake) 0.81(6397.0-chair) 0.86(1040.0-couch) 0.77(1551.0-potted plant) 0.96(719.0-bed) 0.74(3372.0-dining table) 0.96(594.0-toilet) 0.98(842.0-tv) 0.97(801.0-laptop) 0.97(353.0-mouse) 0.79(809.0-remote) 0.99(450.0-keyboard) 0.86(1125.0-cell phone) 0.99(232.0-microwave) 0.91(625.0-oven) 0.35(37.0-toaster) 0.85(916.0-sink) 0.98(457.0-refrigerator) 0.37(3421.0-book) 0.99(1062.0-clock) 0.91(1166.0-vase) 0.76(257.0-scissors) 0.94(874.0-teddy bear) 0.00(0.0-hair drier) 0.54(272.0-toothbrush)
2021-11-01 01:18:27,521 - mmdet - INFO - pseudo ig: 0.65(163436.0-person) 0.45(4091.0-bicycle) 0.50(28868.0-car) 0.58(5599.0-motorcycle) 0.72(2885.0-airplane) 0.67(3546.0-bus) 0.62(2837.0-train) 0.35(6884.0-truck) 0.36(6749.0-boat) 0.40(9120.0-traffic light) 0.72(1166.0-fire hydrant) 0.66(1206.0-stop sign) 0.38(803.0-parking meter) 0.23(6237.0-bench) 0.35(6705.0-bird) 0.75(3010.0-cat) 0.68(3196.0-dog) 0.63(3892.0-horse) 0.52(6706.0-sheep) 0.54(5476.0-cow) 0.79(3488.0-elephant) 0.71(860.0-bear) 0.80(3245.0-zebra) 0.88(2923.0-giraffe) 0.24(5608.0-backpack) 0.42(7778.0-umbrella) 0.21(7799.0-handbag) 0.46(3315.0-tie) 0.42(3430.0-suitcase) 0.63(1614.0-frisbee) 0.36(4053.0-skis) 0.34(1652.0-snowboard) 0.41(3963.0-sports ball) 0.48(4966.0-kite) 0.42(2222.0-baseball bat) 0.48(2157.0-baseball glove) 0.60(3406.0-skateboard) 0.44(4424.0-surfboard) 0.68(2896.0-tennis racket) 0.44(14631.0-bottle) 0.47(5139.0-wine glass) 0.37(15168.0-cup) 0.30(3486.0-fork) 0.24(4951.0-knife) 0.20(4385.0-spoon) 0.38(10543.0-bowl) 0.28(6927.0-banana) 0.22(3679.0-apple) 0.36(2891.0-sandwich) 0.27(4654.0-orange) 0.39(4766.0-broccoli) 0.25(5057.0-carrot) 0.33(1658.0-hot dog) 0.56(3655.0-pizza) 0.43(4224.0-donut) 0.40(3852.0-cake) 0.32(24619.0-chair) 0.41(4010.0-couch) 0.38(5791.0-potted plant) 0.53(2469.0-bed) 0.37(9724.0-dining table) 0.73(2516.0-toilet) 0.63(3623.0-tv) 0.59(3294.0-laptop) 0.49(1406.0-mouse) 0.36(3632.0-remote) 0.48(1793.0-keyboard) 0.30(4205.0-cell phone) 0.59(1022.0-microwave) 0.38(2257.0-oven) 0.10(80.0-toaster) 0.46(3494.0-sink) 0.48(1672.0-refrigerator) 0.20(13510.0-book) 0.63(3708.0-clock) 0.39(4668.0-vase) 0.24(961.0-scissors) 0.48(3226.0-teddy bear) 0.00(0.0-hair drier) 0.23(1065.0-toothbrush)
2021-11-01 01:18:27,521 - mmdet - INFO - pseudo gt: 210382.0 5773.0 35229.0 7313.0 4250.0 5054.0 3603.0 8033.0 8231.0 10596.0 1511.0 1620.0 1013.0 8177.0 8291.0 3796.0 4517.0 5069.0 7938.0 6568.0 4610.0 1085.0 4413.0 4096.0 7013.0 9051.0 9940.0 5266.0 5144.0 2168.0 5332.0 2234.0 4927.0 7078.0 2622.0 3061.0 4649.0 4731.0 3923.0 19608.0 6576.0 16645.0 4456.0 6456.0 4901.0 11432.0 7369.0 4523.0 3537.0 4874.0 6179.0 6269.0 2403.0 4730.0 5593.0 5298.0 31268.0 4711.0 7245.0 3384.0 12921.0 3435.0 4759.0 4055.0 1759.0 4565.0 2269.0 5100.0 1379.0 2664.0 175.0 4510.0 2265.0 19446.0 5265.0 5358.0 1115.0 3759.0 156.0 1474.0
2021-11-01 01:18:27,521 - mmdet - INFO - pseudo mining: 49301.0 200.0 5242.0 700.0 761.0 1133.0 570.0 87.0 248.0 1339.0 591.0 826.0 62.0 45.0 367.0 651.0 535.0 917.0 1559.0 1021.0 1764.0 355.0 1890.0 1941.0 18.0 651.0 24.0 397.0 165.0 779.0 116.0 11.0 1443.0 1437.0 218.0 702.0 823.0 257.0 1094.0 1751.0 581.0 1690.0 25.0 35.0 21.0 885.0 114.0 19.0 83.0 71.0 351.0 96.0 16.0 751.0 831.0 145.0 258.0 79.0 357.0 96.0 201.0 1308.0 1491.0 728.0 538.0 208.0 264.0 308.0 287.0 167.0 0.0 659.0 172.0 43.0 2618.0 477.0 5.0 294.0 0.0 13.0
2021-11-01 01:19:23,035 - mmdet - INFO - Evaluating bbox...
2021-11-01 01:20:36,162 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.461 | bicycle      | 0.218 | car            | 0.374 |
| motorcycle    | 0.335 | airplane     | 0.519 | bus            | 0.532 |
| train         | 0.511 | truck        | 0.267 | boat           | 0.205 |
| traffic light | 0.236 | fire hydrant | 0.542 | stop sign      | 0.563 |
| parking meter | 0.382 | bench        | 0.162 | bird           | 0.238 |
| cat           | 0.486 | dog          | 0.452 | horse          | 0.453 |
| sheep         | 0.377 | cow          | 0.446 | elephant       | 0.514 |
| bear          | 0.578 | zebra        | 0.547 | giraffe        | 0.589 |
| backpack      | 0.106 | umbrella     | 0.252 | handbag        | 0.084 |
| tie           | 0.223 | suitcase     | 0.199 | frisbee        | 0.546 |
| skis          | 0.145 | snowboard    | 0.220 | sports ball    | 0.367 |
| kite          | 0.316 | baseball bat | 0.181 | baseball glove | 0.266 |
| skateboard    | 0.398 | surfboard    | 0.278 | tennis racket  | 0.358 |
| bottle        | 0.311 | wine glass   | 0.264 | cup            | 0.313 |
| fork          | 0.186 | knife        | 0.090 | spoon          | 0.086 |
| bowl          | 0.350 | banana       | 0.165 | apple          | 0.110 |
| sandwich      | 0.228 | orange       | 0.209 | broccoli       | 0.175 |
| carrot        | 0.096 | hot dog      | 0.113 | pizza          | 0.403 |
| donut         | 0.294 | cake         | 0.208 | chair          | 0.169 |
| couch         | 0.300 | potted plant | 0.172 | bed            | 0.281 |
| dining table  | 0.190 | toilet       | 0.479 | tv             | 0.468 |
| laptop        | 0.480 | mouse        | 0.505 | remote         | 0.181 |
| keyboard      | 0.376 | cell phone   | 0.272 | microwave      | 0.412 |
| oven          | 0.243 | toaster      | 0.157 | sink           | 0.255 |
| refrigerator  | 0.365 | book         | 0.062 | clock          | 0.415 |
| vase          | 0.303 | scissors     | 0.193 | teddy bear     | 0.293 |
| hair drier    | 0.001 | toothbrush   | 0.127 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 01:21:32,001 - mmdet - INFO - Evaluating bbox...
2021-11-01 01:22:45,336 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.481 | bicycle      | 0.238 | car            | 0.398 |
| motorcycle    | 0.357 | airplane     | 0.538 | bus            | 0.571 |
| train         | 0.536 | truck        | 0.264 | boat           | 0.215 |
| traffic light | 0.248 | fire hydrant | 0.564 | stop sign      | 0.611 |
| parking meter | 0.422 | bench        | 0.182 | bird           | 0.283 |
| cat           | 0.544 | dog          | 0.501 | horse          | 0.489 |
| sheep         | 0.414 | cow          | 0.483 | elephant       | 0.544 |
| bear          | 0.616 | zebra        | 0.572 | giraffe        | 0.604 |
| backpack      | 0.122 | umbrella     | 0.289 | handbag        | 0.093 |
| tie           | 0.239 | suitcase     | 0.230 | frisbee        | 0.576 |
| skis          | 0.154 | snowboard    | 0.246 | sports ball    | 0.391 |
| kite          | 0.338 | baseball bat | 0.209 | baseball glove | 0.307 |
| skateboard    | 0.412 | surfboard    | 0.283 | tennis racket  | 0.381 |
| bottle        | 0.340 | wine glass   | 0.290 | cup            | 0.351 |
| fork          | 0.203 | knife        | 0.106 | spoon          | 0.100 |
| bowl          | 0.377 | banana       | 0.186 | apple          | 0.128 |
| sandwich      | 0.271 | orange       | 0.252 | broccoli       | 0.191 |
| carrot        | 0.135 | hot dog      | 0.186 | pizza          | 0.408 |
| donut         | 0.345 | cake         | 0.257 | chair          | 0.194 |
| couch         | 0.334 | potted plant | 0.184 | bed            | 0.337 |
| dining table  | 0.201 | toilet       | 0.525 | tv             | 0.490 |
| laptop        | 0.504 | mouse        | 0.542 | remote         | 0.204 |
| keyboard      | 0.415 | cell phone   | 0.286 | microwave      | 0.462 |
| oven          | 0.274 | toaster      | 0.283 | sink           | 0.299 |
| refrigerator  | 0.411 | book         | 0.074 | clock          | 0.440 |
| vase          | 0.338 | scissors     | 0.223 | teddy bear     | 0.356 |
| hair drier    | 0.006 | toothbrush   | 0.120 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 01:24:14,095 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 01:24:14,096 - mmdet - INFO - Iter [24000/40000]	lr: 2.000e-02, eta: 8:35:03, time: 1.694, data_time: 0.030, memory: 26484, bbox_mAP: 0.3320, bbox_mAP_50: 0.5370, bbox_mAP_75: 0.3540, bbox_mAP_s: 0.2000, bbox_mAP_m: 0.3610, bbox_mAP_l: 0.4330, bbox_mAP_copypaste: 0.332 0.537 0.354 0.200 0.361 0.433, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0487, loss_cls: 0.2080, acc: 92.7786, loss_bbox: 0.2486, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1926, acc_unlabeled: 92.2308, loss_bbox_unlabeled: 0.1923, losses_cls_ig_unlabeled: 0.1815, pseudo_num: 1.4968, pseudo_num_ig: 5.6375, pseudo_num_mining: 1.0143, pseudo_num(acc): 0.8860, pseudo_num ig(acc): 0.4899, loss: 1.2866
2021-11-01 01:25:38,240 - mmdet - INFO - Iter [24050/40000]	lr: 2.000e-02, eta: 8:37:07, time: 8.581, data_time: 6.930, memory: 26484, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0468, loss_cls: 0.1994, acc: 93.0542, loss_bbox: 0.2420, loss_rpn_cls_unlabeled: 0.0919, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1870, acc_unlabeled: 92.4833, loss_bbox_unlabeled: 0.1858, losses_cls_ig_unlabeled: 0.1792, pseudo_num: 1.4968, pseudo_num_ig: 5.6376, pseudo_num_mining: 1.0149, pseudo_num(acc): 0.8860, pseudo_num ig(acc): 0.4899, loss: 1.2567
2021-11-01 01:27:03,670 - mmdet - INFO - Iter [24100/40000]	lr: 2.000e-02, eta: 8:35:22, time: 1.711, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0481, loss_cls: 0.2017, acc: 92.9301, loss_bbox: 0.2508, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1834, acc_unlabeled: 92.6423, loss_bbox_unlabeled: 0.1866, losses_cls_ig_unlabeled: 0.1717, pseudo_num: 1.4969, pseudo_num_ig: 5.6380, pseudo_num_mining: 1.0155, pseudo_num(acc): 0.8860, pseudo_num ig(acc): 0.4899, loss: 1.2537
2021-11-01 01:28:28,520 - mmdet - INFO - Iter [24150/40000]	lr: 2.000e-02, eta: 8:33:36, time: 1.694, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0476, loss_cls: 0.2093, acc: 92.7157, loss_bbox: 0.2581, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1857, acc_unlabeled: 92.4222, loss_bbox_unlabeled: 0.1801, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4970, pseudo_num_ig: 5.6381, pseudo_num_mining: 1.0161, pseudo_num(acc): 0.8860, pseudo_num ig(acc): 0.4899, loss: 1.2755
2021-11-01 01:29:53,711 - mmdet - INFO - Iter [24200/40000]	lr: 2.000e-02, eta: 8:31:51, time: 1.707, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0498, loss_cls: 0.2074, acc: 92.7603, loss_bbox: 0.2518, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1911, acc_unlabeled: 92.3572, loss_bbox_unlabeled: 0.1832, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4968, pseudo_num_ig: 5.6383, pseudo_num_mining: 1.0166, pseudo_num(acc): 0.8860, pseudo_num ig(acc): 0.4899, loss: 1.2724
2021-11-01 01:31:17,875 - mmdet - INFO - Iter [24250/40000]	lr: 2.000e-02, eta: 8:30:06, time: 1.684, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0491, loss_cls: 0.2080, acc: 92.7198, loss_bbox: 0.2562, loss_rpn_cls_unlabeled: 0.0829, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1986, acc_unlabeled: 92.2401, loss_bbox_unlabeled: 0.1940, losses_cls_ig_unlabeled: 0.1859, pseudo_num: 1.4967, pseudo_num_ig: 5.6384, pseudo_num_mining: 1.0171, pseudo_num(acc): 0.8860, pseudo_num ig(acc): 0.4899, loss: 1.3024
2021-11-01 01:32:45,338 - mmdet - INFO - Iter [24300/40000]	lr: 2.000e-02, eta: 8:28:22, time: 1.748, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0464, loss_cls: 0.1991, acc: 92.9857, loss_bbox: 0.2446, loss_rpn_cls_unlabeled: 0.0866, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1835, acc_unlabeled: 92.4808, loss_bbox_unlabeled: 0.1785, losses_cls_ig_unlabeled: 0.1833, pseudo_num: 1.4967, pseudo_num_ig: 5.6390, pseudo_num_mining: 1.0179, pseudo_num(acc): 0.8860, pseudo_num ig(acc): 0.4900, loss: 1.2480
2021-11-01 01:34:11,958 - mmdet - INFO - Iter [24350/40000]	lr: 2.000e-02, eta: 8:26:39, time: 1.734, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0481, loss_cls: 0.2050, acc: 92.8677, loss_bbox: 0.2464, loss_rpn_cls_unlabeled: 0.0820, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1912, acc_unlabeled: 92.3141, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1884, pseudo_num: 1.4965, pseudo_num_ig: 5.6390, pseudo_num_mining: 1.0185, pseudo_num(acc): 0.8861, pseudo_num ig(acc): 0.4900, loss: 1.2739
2021-11-01 01:35:36,833 - mmdet - INFO - Iter [24400/40000]	lr: 2.000e-02, eta: 8:24:54, time: 1.697, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0497, loss_cls: 0.2118, acc: 92.6361, loss_bbox: 0.2578, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1888, acc_unlabeled: 92.3558, loss_bbox_unlabeled: 0.1875, losses_cls_ig_unlabeled: 0.1874, pseudo_num: 1.4963, pseudo_num_ig: 5.6392, pseudo_num_mining: 1.0192, pseudo_num(acc): 0.8861, pseudo_num ig(acc): 0.4900, loss: 1.3004
2021-11-01 01:37:01,815 - mmdet - INFO - Iter [24450/40000]	lr: 2.000e-02, eta: 8:23:09, time: 1.699, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0490, loss_cls: 0.2119, acc: 92.5673, loss_bbox: 0.2569, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1961, acc_unlabeled: 92.3253, loss_bbox_unlabeled: 0.1911, losses_cls_ig_unlabeled: 0.1873, pseudo_num: 1.4963, pseudo_num_ig: 5.6396, pseudo_num_mining: 1.0200, pseudo_num(acc): 0.8861, pseudo_num ig(acc): 0.4901, loss: 1.3067
2021-11-01 01:38:25,240 - mmdet - INFO - pseudo pos: 0.98(45873.0-person) 0.94(1064.0-bicycle) 0.94(7771.0-car) 0.98(1389.0-motorcycle) 1.00(801.0-airplane) 1.00(912.0-bus) 0.99(867.0-train) 0.78(1850.0-truck) 0.78(1878.0-boat) 0.93(2436.0-traffic light) 0.99(285.0-fire hydrant) 0.99(306.0-stop sign) 0.94(217.0-parking meter) 0.77(1753.0-bench) 0.93(1699.0-bird) 0.98(912.0-cat) 0.98(883.0-dog) 0.99(1110.0-horse) 0.94(1743.0-sheep) 0.95(1306.0-cow) 1.00(875.0-elephant) 1.00(254.0-bear) 0.99(850.0-zebra) 0.99(863.0-giraffe) 0.61(1458.0-backpack) 0.85(1980.0-umbrella) 0.56(1871.0-handbag) 0.93(892.0-tie) 0.82(937.0-suitcase) 1.00(418.0-frisbee) 0.77(1088.0-skis) 0.81(419.0-snowboard) 0.98(1041.0-sports ball) 0.91(1444.0-kite) 0.91(541.0-baseball bat) 0.97(572.0-baseball glove) 0.99(932.0-skateboard) 0.91(1192.0-surfboard) 0.99(702.0-tennis racket) 0.89(3742.0-bottle) 0.95(1269.0-wine glass) 0.90(3881.0-cup) 0.83(825.0-fork) 0.58(1393.0-knife) 0.55(1031.0-spoon) 0.84(2662.0-bowl) 0.70(1766.0-banana) 0.57(863.0-apple) 0.84(857.0-sandwich) 0.67(1253.0-orange) 0.71(1230.0-broccoli) 0.58(1369.0-carrot) 0.81(478.0-hot dog) 0.96(997.0-pizza) 0.92(1220.0-donut) 0.89(992.0-cake) 0.81(6509.0-chair) 0.86(1063.0-couch) 0.78(1580.0-potted plant) 0.96(730.0-bed) 0.74(3436.0-dining table) 0.96(603.0-toilet) 0.98(851.0-tv) 0.97(816.0-laptop) 0.98(364.0-mouse) 0.79(824.0-remote) 0.99(460.0-keyboard) 0.85(1151.0-cell phone) 0.99(239.0-microwave) 0.91(638.0-oven) 0.33(39.0-toaster) 0.85(926.0-sink) 0.98(461.0-refrigerator) 0.37(3523.0-book) 0.99(1089.0-clock) 0.91(1192.0-vase) 0.76(257.0-scissors) 0.94(884.0-teddy bear) 0.00(0.0-hair drier) 0.54(274.0-toothbrush)
2021-11-01 01:38:25,241 - mmdet - INFO - pseudo ig: 0.65(166951.0-person) 0.45(4170.0-bicycle) 0.50(29482.0-car) 0.59(5681.0-motorcycle) 0.72(2965.0-airplane) 0.67(3611.0-bus) 0.62(2883.0-train) 0.35(7051.0-truck) 0.36(6933.0-boat) 0.40(9278.0-traffic light) 0.72(1189.0-fire hydrant) 0.66(1242.0-stop sign) 0.39(818.0-parking meter) 0.23(6359.0-bench) 0.35(6873.0-bird) 0.75(3054.0-cat) 0.68(3257.0-dog) 0.63(3971.0-horse) 0.52(6778.0-sheep) 0.54(5589.0-cow) 0.79(3598.0-elephant) 0.71(871.0-bear) 0.81(3314.0-zebra) 0.89(2976.0-giraffe) 0.24(5762.0-backpack) 0.42(7996.0-umbrella) 0.22(7947.0-handbag) 0.46(3400.0-tie) 0.42(3477.0-suitcase) 0.63(1646.0-frisbee) 0.36(4141.0-skis) 0.34(1678.0-snowboard) 0.42(4045.0-sports ball) 0.48(5091.0-kite) 0.42(2264.0-baseball bat) 0.48(2209.0-baseball glove) 0.60(3490.0-skateboard) 0.45(4515.0-surfboard) 0.68(2957.0-tennis racket) 0.44(15000.0-bottle) 0.46(5252.0-wine glass) 0.37(15486.0-cup) 0.30(3562.0-fork) 0.24(5021.0-knife) 0.20(4470.0-spoon) 0.38(10723.0-bowl) 0.28(7114.0-banana) 0.22(3770.0-apple) 0.36(2963.0-sandwich) 0.27(4724.0-orange) 0.39(4818.0-broccoli) 0.25(5131.0-carrot) 0.33(1685.0-hot dog) 0.56(3746.0-pizza) 0.43(4319.0-donut) 0.39(3949.0-cake) 0.32(25107.0-chair) 0.41(4119.0-couch) 0.38(5924.0-potted plant) 0.53(2515.0-bed) 0.37(9925.0-dining table) 0.73(2568.0-toilet) 0.63(3700.0-tv) 0.59(3367.0-laptop) 0.50(1436.0-mouse) 0.36(3712.0-remote) 0.48(1837.0-keyboard) 0.30(4296.0-cell phone) 0.59(1039.0-microwave) 0.38(2291.0-oven) 0.10(87.0-toaster) 0.47(3575.0-sink) 0.48(1707.0-refrigerator) 0.20(13887.0-book) 0.63(3787.0-clock) 0.39(4773.0-vase) 0.25(984.0-scissors) 0.48(3279.0-teddy bear) 0.00(0.0-hair drier) 0.23(1084.0-toothbrush)
2021-11-01 01:38:25,241 - mmdet - INFO - pseudo gt: 214906.0 5934.0 35974.0 7435.0 4337.0 5181.0 3649.0 8205.0 8442.0 10810.0 1541.0 1659.0 1038.0 8348.0 8489.0 3866.0 4606.0 5173.0 8029.0 6710.0 4754.0 1099.0 4506.0 4175.0 7179.0 9280.0 10119.0 5369.0 5209.0 2207.0 5431.0 2271.0 5040.0 7240.0 2668.0 3108.0 4747.0 4834.0 4006.0 20013.0 6717.0 16960.0 4566.0 6562.0 4965.0 11627.0 7504.0 4603.0 3602.0 4965.0 6245.0 6362.0 2437.0 4821.0 5715.0 5401.0 31890.0 4818.0 7371.0 3451.0 13196.0 3503.0 4852.0 4135.0 1802.0 4657.0 2316.0 5218.0 1407.0 2705.0 178.0 4605.0 2302.0 19939.0 5377.0 5469.0 1145.0 3826.0 159.0 1500.0
2021-11-01 01:38:25,241 - mmdet - INFO - pseudo mining: 50625.0 213.0 5388.0 712.0 788.0 1154.0 583.0 87.0 252.0 1380.0 606.0 853.0 68.0 48.0 378.0 660.0 554.0 953.0 1584.0 1047.0 1834.0 361.0 1943.0 1984.0 19.0 676.0 24.0 416.0 167.0 799.0 118.0 12.0 1477.0 1463.0 223.0 713.0 855.0 264.0 1134.0 1818.0 593.0 1743.0 26.0 38.0 23.0 902.0 116.0 21.0 85.0 73.0 355.0 98.0 16.0 777.0 874.0 148.0 266.0 85.0 366.0 97.0 205.0 1342.0 1535.0 747.0 555.0 218.0 278.0 318.0 289.0 172.0 0.0 702.0 187.0 45.0 2677.0 485.0 10.0 308.0 0.0 13.0
2021-11-01 01:38:27,118 - mmdet - INFO - Iter [24500/40000]	lr: 2.000e-02, eta: 8:21:24, time: 1.703, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0498, loss_cls: 0.2051, acc: 92.8540, loss_bbox: 0.2513, loss_rpn_cls_unlabeled: 0.0820, loss_rpn_bbox_unlabeled: 0.0910, loss_cls_unlabeled: 0.1893, acc_unlabeled: 92.4364, loss_bbox_unlabeled: 0.1895, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4962, pseudo_num_ig: 5.6400, pseudo_num_mining: 1.0207, pseudo_num(acc): 0.8861, pseudo_num ig(acc): 0.4901, loss: 1.2706
2021-11-01 01:39:52,369 - mmdet - INFO - Iter [24550/40000]	lr: 2.000e-02, eta: 8:19:40, time: 1.707, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0472, loss_cls: 0.2096, acc: 92.7996, loss_bbox: 0.2499, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1921, acc_unlabeled: 92.3912, loss_bbox_unlabeled: 0.1889, losses_cls_ig_unlabeled: 0.1844, pseudo_num: 1.4961, pseudo_num_ig: 5.6403, pseudo_num_mining: 1.0214, pseudo_num(acc): 0.8861, pseudo_num ig(acc): 0.4901, loss: 1.2828
2021-11-01 01:41:15,405 - mmdet - INFO - Iter [24600/40000]	lr: 2.000e-02, eta: 8:17:54, time: 1.663, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0490, loss_cls: 0.2106, acc: 92.7450, loss_bbox: 0.2524, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1835, acc_unlabeled: 92.4669, loss_bbox_unlabeled: 0.1871, losses_cls_ig_unlabeled: 0.1771, pseudo_num: 1.4960, pseudo_num_ig: 5.6402, pseudo_num_mining: 1.0219, pseudo_num(acc): 0.8861, pseudo_num ig(acc): 0.4901, loss: 1.2693
2021-11-01 01:42:41,445 - mmdet - INFO - Iter [24650/40000]	lr: 2.000e-02, eta: 8:16:10, time: 1.712, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0483, loss_cls: 0.2129, acc: 92.5959, loss_bbox: 0.2547, loss_rpn_cls_unlabeled: 0.0886, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1902, acc_unlabeled: 92.4536, loss_bbox_unlabeled: 0.1819, losses_cls_ig_unlabeled: 0.1827, pseudo_num: 1.4958, pseudo_num_ig: 5.6400, pseudo_num_mining: 1.0224, pseudo_num(acc): 0.8861, pseudo_num ig(acc): 0.4901, loss: 1.2855
2021-11-01 01:44:07,180 - mmdet - INFO - Iter [24700/40000]	lr: 2.000e-02, eta: 8:14:26, time: 1.720, data_time: 0.038, memory: 26484, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0488, loss_cls: 0.2132, acc: 92.5365, loss_bbox: 0.2536, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1816, acc_unlabeled: 92.4209, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1805, pseudo_num: 1.4957, pseudo_num_ig: 5.6404, pseudo_num_mining: 1.0231, pseudo_num(acc): 0.8862, pseudo_num ig(acc): 0.4902, loss: 1.2721
2021-11-01 01:45:32,439 - mmdet - INFO - Iter [24750/40000]	lr: 2.000e-02, eta: 8:12:42, time: 1.708, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0476, loss_cls: 0.2013, acc: 92.9711, loss_bbox: 0.2466, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1954, acc_unlabeled: 92.3485, loss_bbox_unlabeled: 0.1948, losses_cls_ig_unlabeled: 0.1845, pseudo_num: 1.4957, pseudo_num_ig: 5.6405, pseudo_num_mining: 1.0237, pseudo_num(acc): 0.8862, pseudo_num ig(acc): 0.4902, loss: 1.2867
2021-11-01 01:46:57,363 - mmdet - INFO - Iter [24800/40000]	lr: 2.000e-02, eta: 8:10:58, time: 1.696, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0499, loss_cls: 0.2079, acc: 92.7595, loss_bbox: 0.2529, loss_rpn_cls_unlabeled: 0.0943, loss_rpn_bbox_unlabeled: 0.1007, loss_cls_unlabeled: 0.1934, acc_unlabeled: 92.2881, loss_bbox_unlabeled: 0.1876, losses_cls_ig_unlabeled: 0.1885, pseudo_num: 1.4956, pseudo_num_ig: 5.6412, pseudo_num_mining: 1.0245, pseudo_num(acc): 0.8862, pseudo_num ig(acc): 0.4902, loss: 1.3078
2021-11-01 01:48:23,977 - mmdet - INFO - Iter [24850/40000]	lr: 2.000e-02, eta: 8:09:15, time: 1.733, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0470, loss_cls: 0.2064, acc: 92.8545, loss_bbox: 0.2509, loss_rpn_cls_unlabeled: 0.0865, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1854, acc_unlabeled: 92.2686, loss_bbox_unlabeled: 0.1825, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4956, pseudo_num_ig: 5.6417, pseudo_num_mining: 1.0251, pseudo_num(acc): 0.8862, pseudo_num ig(acc): 0.4903, loss: 1.2688
2021-11-01 01:49:48,963 - mmdet - INFO - Iter [24900/40000]	lr: 2.000e-02, eta: 8:07:30, time: 1.699, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0495, loss_cls: 0.2089, acc: 92.7416, loss_bbox: 0.2530, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1904, acc_unlabeled: 92.1599, loss_bbox_unlabeled: 0.1818, losses_cls_ig_unlabeled: 0.1888, pseudo_num: 1.4954, pseudo_num_ig: 5.6422, pseudo_num_mining: 1.0256, pseudo_num(acc): 0.8862, pseudo_num ig(acc): 0.4903, loss: 1.2892
2021-11-01 01:51:14,799 - mmdet - INFO - Iter [24950/40000]	lr: 2.000e-02, eta: 8:05:47, time: 1.718, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0473, loss_cls: 0.2038, acc: 92.9211, loss_bbox: 0.2470, loss_rpn_cls_unlabeled: 0.0914, loss_rpn_bbox_unlabeled: 0.0984, loss_cls_unlabeled: 0.1919, acc_unlabeled: 92.3689, loss_bbox_unlabeled: 0.1802, losses_cls_ig_unlabeled: 0.1841, pseudo_num: 1.4953, pseudo_num_ig: 5.6427, pseudo_num_mining: 1.0262, pseudo_num(acc): 0.8862, pseudo_num ig(acc): 0.4903, loss: 1.2765
2021-11-01 01:52:38,233 - mmdet - INFO - pseudo pos: 0.98(46665.0-person) 0.94(1078.0-bicycle) 0.94(7887.0-car) 0.98(1417.0-motorcycle) 1.00(829.0-airplane) 1.00(925.0-bus) 0.99(877.0-train) 0.78(1898.0-truck) 0.78(1935.0-boat) 0.93(2482.0-traffic light) 0.99(290.0-fire hydrant) 0.99(317.0-stop sign) 0.94(220.0-parking meter) 0.77(1794.0-bench) 0.93(1743.0-bird) 0.98(926.0-cat) 0.98(904.0-dog) 0.99(1129.0-horse) 0.94(1787.0-sheep) 0.95(1331.0-cow) 1.00(879.0-elephant) 1.00(255.0-bear) 0.99(865.0-zebra) 0.99(870.0-giraffe) 0.61(1495.0-backpack) 0.85(2014.0-umbrella) 0.56(1908.0-handbag) 0.93(913.0-tie) 0.82(953.0-suitcase) 1.00(434.0-frisbee) 0.76(1116.0-skis) 0.81(424.0-snowboard) 0.98(1062.0-sports ball) 0.91(1486.0-kite) 0.91(550.0-baseball bat) 0.97(587.0-baseball glove) 0.99(969.0-skateboard) 0.91(1224.0-surfboard) 0.99(705.0-tennis racket) 0.89(3792.0-bottle) 0.95(1297.0-wine glass) 0.90(3944.0-cup) 0.83(836.0-fork) 0.58(1411.0-knife) 0.55(1054.0-spoon) 0.84(2708.0-bowl) 0.70(1788.0-banana) 0.57(874.0-apple) 0.84(869.0-sandwich) 0.67(1322.0-orange) 0.71(1253.0-broccoli) 0.58(1406.0-carrot) 0.81(486.0-hot dog) 0.96(1021.0-pizza) 0.92(1259.0-donut) 0.89(1009.0-cake) 0.81(6623.0-chair) 0.86(1087.0-couch) 0.77(1612.0-potted plant) 0.96(740.0-bed) 0.74(3503.0-dining table) 0.96(610.0-toilet) 0.98(872.0-tv) 0.97(835.0-laptop) 0.98(373.0-mouse) 0.79(839.0-remote) 0.99(476.0-keyboard) 0.85(1170.0-cell phone) 0.99(244.0-microwave) 0.91(647.0-oven) 0.33(39.0-toaster) 0.85(935.0-sink) 0.98(465.0-refrigerator) 0.37(3630.0-book) 0.99(1117.0-clock) 0.91(1230.0-vase) 0.76(259.0-scissors) 0.94(893.0-teddy bear) 0.00(0.0-hair drier) 0.54(279.0-toothbrush)
2021-11-01 01:52:38,233 - mmdet - INFO - pseudo ig: 0.65(170394.0-person) 0.45(4249.0-bicycle) 0.50(30126.0-car) 0.59(5777.0-motorcycle) 0.72(3029.0-airplane) 0.67(3681.0-bus) 0.62(2947.0-train) 0.35(7214.0-truck) 0.36(7145.0-boat) 0.40(9483.0-traffic light) 0.73(1216.0-fire hydrant) 0.65(1266.0-stop sign) 0.39(831.0-parking meter) 0.23(6517.0-bench) 0.35(6988.0-bird) 0.75(3115.0-cat) 0.68(3338.0-dog) 0.63(4039.0-horse) 0.52(6877.0-sheep) 0.54(5695.0-cow) 0.79(3677.0-elephant) 0.72(892.0-bear) 0.81(3374.0-zebra) 0.89(3032.0-giraffe) 0.24(5909.0-backpack) 0.42(8109.0-umbrella) 0.22(8096.0-handbag) 0.46(3482.0-tie) 0.42(3571.0-suitcase) 0.63(1668.0-frisbee) 0.36(4242.0-skis) 0.34(1710.0-snowboard) 0.41(4134.0-sports ball) 0.48(5199.0-kite) 0.42(2323.0-baseball bat) 0.48(2261.0-baseball glove) 0.60(3589.0-skateboard) 0.45(4600.0-surfboard) 0.69(3007.0-tennis racket) 0.44(15257.0-bottle) 0.46(5346.0-wine glass) 0.37(15796.0-cup) 0.30(3646.0-fork) 0.24(5083.0-knife) 0.20(4574.0-spoon) 0.38(10888.0-bowl) 0.28(7256.0-banana) 0.22(3877.0-apple) 0.36(3020.0-sandwich) 0.27(4788.0-orange) 0.39(4894.0-broccoli) 0.25(5213.0-carrot) 0.33(1711.0-hot dog) 0.56(3857.0-pizza) 0.43(4428.0-donut) 0.40(3998.0-cake) 0.32(25541.0-chair) 0.41(4227.0-couch) 0.38(6005.0-potted plant) 0.53(2562.0-bed) 0.37(10099.0-dining table) 0.73(2617.0-toilet) 0.63(3765.0-tv) 0.59(3427.0-laptop) 0.50(1477.0-mouse) 0.36(3803.0-remote) 0.48(1881.0-keyboard) 0.30(4388.0-cell phone) 0.59(1063.0-microwave) 0.38(2328.0-oven) 0.11(89.0-toaster) 0.47(3628.0-sink) 0.48(1736.0-refrigerator) 0.20(14355.0-book) 0.63(3859.0-clock) 0.39(4869.0-vase) 0.25(997.0-scissors) 0.49(3339.0-teddy bear) 0.00(0.0-hair drier) 0.23(1104.0-toothbrush)
2021-11-01 01:52:38,234 - mmdet - INFO - pseudo gt: 219165.0 6077.0 36689.0 7576.0 4431.0 5295.0 3704.0 8392.0 8653.0 11056.0 1575.0 1690.0 1064.0 8541.0 8634.0 3933.0 4707.0 5261.0 8189.0 6843.0 4836.0 1121.0 4604.0 4247.0 7337.0 9450.0 10297.0 5506.0 5325.0 2257.0 5539.0 2315.0 5130.0 7369.0 2720.0 3163.0 4888.0 4950.0 4074.0 20310.0 6834.0 17258.0 4650.0 6671.0 5053.0 11791.0 7653.0 4666.0 3651.0 5068.0 6366.0 6471.0 2480.0 4929.0 5860.0 5471.0 32391.0 4921.0 7463.0 3512.0 13417.0 3564.0 4966.0 4225.0 1860.0 4743.0 2374.0 5336.0 1434.0 2761.0 182.0 4687.0 2332.0 20462.0 5488.0 5569.0 1167.0 3901.0 161.0 1521.0
2021-11-01 01:52:38,234 - mmdet - INFO - pseudo mining: 51929.0 225.0 5537.0 730.0 812.0 1183.0 605.0 88.0 265.0 1433.0 623.0 864.0 71.0 52.0 385.0 682.0 570.0 982.0 1614.0 1079.0 1885.0 375.0 1985.0 2031.0 20.0 687.0 25.0 439.0 178.0 811.0 121.0 13.0 1505.0 1501.0 228.0 739.0 887.0 276.0 1164.0 1867.0 602.0 1787.0 26.0 40.0 24.0 925.0 118.0 25.0 86.0 74.0 369.0 101.0 16.0 812.0 924.0 152.0 282.0 86.0 371.0 99.0 212.0 1378.0 1576.0 766.0 576.0 232.0 285.0 330.0 298.0 176.0 0.0 729.0 189.0 47.0 2732.0 493.0 10.0 330.0 0.0 13.0
2021-11-01 01:54:09,978 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 01:54:09,979 - mmdet - INFO - Iter [25000/40000]	lr: 2.000e-02, eta: 8:04:03, time: 1.700, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0478, loss_cls: 0.2069, acc: 92.7737, loss_bbox: 0.2527, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1891, acc_unlabeled: 92.2523, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1851, pseudo_num: 1.4952, pseudo_num_ig: 5.6433, pseudo_num_mining: 1.0268, pseudo_num(acc): 0.8862, pseudo_num ig(acc): 0.4903, loss: 1.2753
2021-11-01 01:55:33,986 - mmdet - INFO - Iter [25050/40000]	lr: 2.000e-02, eta: 8:03:12, time: 3.482, data_time: 1.833, memory: 26484, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0468, loss_cls: 0.2038, acc: 92.8431, loss_bbox: 0.2446, loss_rpn_cls_unlabeled: 0.0930, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1885, acc_unlabeled: 92.3307, loss_bbox_unlabeled: 0.1786, losses_cls_ig_unlabeled: 0.1889, pseudo_num: 1.4951, pseudo_num_ig: 5.6440, pseudo_num_mining: 1.0275, pseudo_num(acc): 0.8863, pseudo_num ig(acc): 0.4903, loss: 1.2720
2021-11-01 01:56:57,852 - mmdet - INFO - Iter [25100/40000]	lr: 2.000e-02, eta: 8:01:28, time: 1.676, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0499, loss_cls: 0.2113, acc: 92.6442, loss_bbox: 0.2547, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0897, loss_cls_unlabeled: 0.1881, acc_unlabeled: 92.4640, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1823, pseudo_num: 1.4950, pseudo_num_ig: 5.6442, pseudo_num_mining: 1.0281, pseudo_num(acc): 0.8863, pseudo_num ig(acc): 0.4903, loss: 1.2837
2021-11-01 01:58:23,464 - mmdet - INFO - Iter [25150/40000]	lr: 2.000e-02, eta: 7:59:44, time: 1.713, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0480, loss_cls: 0.2108, acc: 92.6416, loss_bbox: 0.2533, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1993, acc_unlabeled: 92.1479, loss_bbox_unlabeled: 0.1905, losses_cls_ig_unlabeled: 0.1876, pseudo_num: 1.4950, pseudo_num_ig: 5.6443, pseudo_num_mining: 1.0286, pseudo_num(acc): 0.8863, pseudo_num ig(acc): 0.4904, loss: 1.3014
2021-11-01 01:59:49,619 - mmdet - INFO - Iter [25200/40000]	lr: 2.000e-02, eta: 7:58:01, time: 1.718, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0470, loss_cls: 0.2018, acc: 92.9547, loss_bbox: 0.2480, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1818, acc_unlabeled: 92.3859, loss_bbox_unlabeled: 0.1812, losses_cls_ig_unlabeled: 0.1823, pseudo_num: 1.4950, pseudo_num_ig: 5.6446, pseudo_num_mining: 1.0292, pseudo_num(acc): 0.8864, pseudo_num ig(acc): 0.4904, loss: 1.2536
2021-11-01 02:01:13,576 - mmdet - INFO - Iter [25250/40000]	lr: 2.000e-02, eta: 7:56:16, time: 1.682, data_time: 0.038, memory: 26484, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0492, loss_cls: 0.2092, acc: 92.6466, loss_bbox: 0.2542, loss_rpn_cls_unlabeled: 0.0821, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1790, acc_unlabeled: 92.4784, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1774, pseudo_num: 1.4949, pseudo_num_ig: 5.6450, pseudo_num_mining: 1.0298, pseudo_num(acc): 0.8864, pseudo_num ig(acc): 0.4904, loss: 1.2511
2021-11-01 02:02:39,207 - mmdet - INFO - Iter [25300/40000]	lr: 2.000e-02, eta: 7:54:33, time: 1.718, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0492, loss_cls: 0.2076, acc: 92.8005, loss_bbox: 0.2506, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1863, acc_unlabeled: 92.5732, loss_bbox_unlabeled: 0.1817, losses_cls_ig_unlabeled: 0.1808, pseudo_num: 1.4948, pseudo_num_ig: 5.6455, pseudo_num_mining: 1.0305, pseudo_num(acc): 0.8864, pseudo_num ig(acc): 0.4904, loss: 1.2681
2021-11-01 02:04:03,632 - mmdet - INFO - Iter [25350/40000]	lr: 2.000e-02, eta: 7:52:49, time: 1.684, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0487, loss_cls: 0.2104, acc: 92.6879, loss_bbox: 0.2547, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0866, loss_cls_unlabeled: 0.1799, acc_unlabeled: 92.6663, loss_bbox_unlabeled: 0.1812, losses_cls_ig_unlabeled: 0.1776, pseudo_num: 1.4947, pseudo_num_ig: 5.6454, pseudo_num_mining: 1.0312, pseudo_num(acc): 0.8865, pseudo_num ig(acc): 0.4905, loss: 1.2612
2021-11-01 02:05:28,200 - mmdet - INFO - Iter [25400/40000]	lr: 2.000e-02, eta: 7:51:05, time: 1.695, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0481, loss_cls: 0.2083, acc: 92.7070, loss_bbox: 0.2547, loss_rpn_cls_unlabeled: 0.0778, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1894, acc_unlabeled: 92.4603, loss_bbox_unlabeled: 0.1817, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4946, pseudo_num_ig: 5.6452, pseudo_num_mining: 1.0316, pseudo_num(acc): 0.8865, pseudo_num ig(acc): 0.4905, loss: 1.2629
2021-11-01 02:06:53,757 - mmdet - INFO - Iter [25450/40000]	lr: 2.000e-02, eta: 7:49:22, time: 1.710, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0473, loss_cls: 0.2076, acc: 92.7754, loss_bbox: 0.2544, loss_rpn_cls_unlabeled: 0.0845, loss_rpn_bbox_unlabeled: 0.0949, loss_cls_unlabeled: 0.1840, acc_unlabeled: 92.3356, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4945, pseudo_num_ig: 5.6451, pseudo_num_mining: 1.0321, pseudo_num(acc): 0.8865, pseudo_num ig(acc): 0.4905, loss: 1.2740
2021-11-01 02:08:16,928 - mmdet - INFO - pseudo pos: 0.98(47478.0-person) 0.94(1100.0-bicycle) 0.94(8010.0-car) 0.98(1447.0-motorcycle) 1.00(840.0-airplane) 1.00(949.0-bus) 0.99(901.0-train) 0.78(1932.0-truck) 0.78(1984.0-boat) 0.93(2520.0-traffic light) 0.99(294.0-fire hydrant) 0.99(322.0-stop sign) 0.94(226.0-parking meter) 0.77(1836.0-bench) 0.93(1788.0-bird) 0.98(949.0-cat) 0.98(922.0-dog) 0.99(1142.0-horse) 0.94(1820.0-sheep) 0.95(1350.0-cow) 1.00(895.0-elephant) 0.99(259.0-bear) 0.99(873.0-zebra) 0.99(890.0-giraffe) 0.61(1521.0-backpack) 0.85(2073.0-umbrella) 0.56(1941.0-handbag) 0.93(931.0-tie) 0.82(963.0-suitcase) 1.00(441.0-frisbee) 0.77(1138.0-skis) 0.81(438.0-snowboard) 0.98(1082.0-sports ball) 0.91(1526.0-kite) 0.91(558.0-baseball bat) 0.97(603.0-baseball glove) 0.99(977.0-skateboard) 0.91(1244.0-surfboard) 0.99(717.0-tennis racket) 0.89(3888.0-bottle) 0.95(1325.0-wine glass) 0.90(4018.0-cup) 0.84(850.0-fork) 0.58(1432.0-knife) 0.55(1072.0-spoon) 0.84(2760.0-bowl) 0.70(1817.0-banana) 0.58(900.0-apple) 0.84(888.0-sandwich) 0.67(1340.0-orange) 0.71(1276.0-broccoli) 0.58(1426.0-carrot) 0.82(496.0-hot dog) 0.96(1046.0-pizza) 0.92(1280.0-donut) 0.89(1030.0-cake) 0.81(6774.0-chair) 0.86(1115.0-couch) 0.77(1645.0-potted plant) 0.96(755.0-bed) 0.74(3574.0-dining table) 0.95(617.0-toilet) 0.98(889.0-tv) 0.98(847.0-laptop) 0.98(382.0-mouse) 0.79(853.0-remote) 0.99(495.0-keyboard) 0.86(1205.0-cell phone) 0.99(249.0-microwave) 0.91(660.0-oven) 0.33(39.0-toaster) 0.85(943.0-sink) 0.98(471.0-refrigerator) 0.37(3691.0-book) 0.99(1137.0-clock) 0.91(1272.0-vase) 0.77(264.0-scissors) 0.94(904.0-teddy bear) 0.00(0.0-hair drier) 0.55(285.0-toothbrush)
2021-11-01 02:08:16,929 - mmdet - INFO - pseudo ig: 0.65(173765.0-person) 0.45(4339.0-bicycle) 0.51(30617.0-car) 0.58(5916.0-motorcycle) 0.72(3073.0-airplane) 0.68(3753.0-bus) 0.62(2994.0-train) 0.35(7334.0-truck) 0.36(7290.0-boat) 0.40(9628.0-traffic light) 0.73(1235.0-fire hydrant) 0.65(1284.0-stop sign) 0.38(857.0-parking meter) 0.23(6652.0-bench) 0.35(7166.0-bird) 0.75(3193.0-cat) 0.68(3404.0-dog) 0.63(4098.0-horse) 0.52(6997.0-sheep) 0.54(5823.0-cow) 0.79(3762.0-elephant) 0.72(907.0-bear) 0.81(3433.0-zebra) 0.89(3106.0-giraffe) 0.24(6022.0-backpack) 0.42(8272.0-umbrella) 0.21(8254.0-handbag) 0.46(3560.0-tie) 0.42(3643.0-suitcase) 0.63(1701.0-frisbee) 0.36(4304.0-skis) 0.35(1745.0-snowboard) 0.41(4224.0-sports ball) 0.48(5430.0-kite) 0.42(2371.0-baseball bat) 0.48(2313.0-baseball glove) 0.60(3654.0-skateboard) 0.45(4667.0-surfboard) 0.69(3077.0-tennis racket) 0.44(15599.0-bottle) 0.46(5451.0-wine glass) 0.37(16139.0-cup) 0.30(3736.0-fork) 0.25(5212.0-knife) 0.20(4680.0-spoon) 0.38(11074.0-bowl) 0.28(7385.0-banana) 0.22(3943.0-apple) 0.36(3098.0-sandwich) 0.27(4859.0-orange) 0.39(4957.0-broccoli) 0.25(5288.0-carrot) 0.32(1759.0-hot dog) 0.56(3936.0-pizza) 0.43(4522.0-donut) 0.39(4071.0-cake) 0.32(26012.0-chair) 0.41(4313.0-couch) 0.38(6121.0-potted plant) 0.53(2631.0-bed) 0.37(10319.0-dining table) 0.73(2675.0-toilet) 0.63(3859.0-tv) 0.59(3495.0-laptop) 0.50(1519.0-mouse) 0.37(3887.0-remote) 0.48(1915.0-keyboard) 0.30(4491.0-cell phone) 0.59(1081.0-microwave) 0.38(2366.0-oven) 0.11(92.0-toaster) 0.47(3690.0-sink) 0.48(1756.0-refrigerator) 0.20(14628.0-book) 0.63(3926.0-clock) 0.39(4970.0-vase) 0.25(1020.0-scissors) 0.49(3447.0-teddy bear) 0.00(0.0-hair drier) 0.23(1127.0-toothbrush)
2021-11-01 02:08:16,929 - mmdet - INFO - pseudo gt: 223365.0 6210.0 37351.0 7732.0 4486.0 5391.0 3789.0 8531.0 8828.0 11232.0 1601.0 1719.0 1079.0 8708.0 8866.0 4034.0 4799.0 5362.0 8331.0 6942.0 4926.0 1137.0 4675.0 4342.0 7469.0 9691.0 10475.0 5636.0 5407.0 2294.0 5661.0 2368.0 5248.0 7627.0 2766.0 3226.0 4967.0 5026.0 4160.0 20751.0 6962.0 17559.0 4768.0 6827.0 5128.0 11965.0 7774.0 4756.0 3736.0 5132.0 6459.0 6564.0 2518.0 5045.0 5975.0 5562.0 33020.0 5033.0 7621.0 3576.0 13662.0 3625.0 5080.0 4318.0 1900.0 4849.0 2419.0 5448.0 1456.0 2805.0 182.0 4787.0 2366.0 20896.0 5612.0 5699.0 1186.0 4016.0 169.0 1554.0
2021-11-01 02:08:16,929 - mmdet - INFO - pseudo mining: 53211.0 230.0 5675.0 754.0 827.0 1211.0 621.0 88.0 272.0 1472.0 634.0 875.0 72.0 52.0 402.0 696.0 587.0 1002.0 1637.0 1102.0 1932.0 383.0 2032.0 2082.0 21.0 701.0 26.0 456.0 185.0 824.0 123.0 16.0 1545.0 1570.0 235.0 759.0 908.0 282.0 1204.0 1913.0 614.0 1836.0 27.0 40.0 25.0 942.0 120.0 26.0 93.0 74.0 374.0 102.0 17.0 839.0 957.0 154.0 286.0 92.0 388.0 100.0 217.0 1416.0 1620.0 784.0 597.0 244.0 291.0 338.0 305.0 178.0 0.0 752.0 192.0 48.0 2786.0 504.0 10.0 344.0 0.0 14.0
2021-11-01 02:08:18,275 - mmdet - INFO - Iter [25500/40000]	lr: 2.000e-02, eta: 7:47:38, time: 1.692, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0470, loss_cls: 0.2039, acc: 92.8387, loss_bbox: 0.2500, loss_rpn_cls_unlabeled: 0.0886, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1867, acc_unlabeled: 92.4065, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1796, pseudo_num: 1.4944, pseudo_num_ig: 5.6453, pseudo_num_mining: 1.0327, pseudo_num(acc): 0.8865, pseudo_num ig(acc): 0.4905, loss: 1.2680
2021-11-01 02:09:43,180 - mmdet - INFO - Iter [25550/40000]	lr: 2.000e-02, eta: 7:45:55, time: 1.699, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0478, loss_cls: 0.2086, acc: 92.7754, loss_bbox: 0.2519, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0954, loss_cls_unlabeled: 0.1880, acc_unlabeled: 92.3248, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1866, pseudo_num: 1.4943, pseudo_num_ig: 5.6456, pseudo_num_mining: 1.0333, pseudo_num(acc): 0.8866, pseudo_num ig(acc): 0.4906, loss: 1.2767
2021-11-01 02:11:09,224 - mmdet - INFO - Iter [25600/40000]	lr: 2.000e-02, eta: 7:44:12, time: 1.719, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0479, loss_cls: 0.2018, acc: 92.9198, loss_bbox: 0.2465, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1867, acc_unlabeled: 92.5610, loss_bbox_unlabeled: 0.1835, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4942, pseudo_num_ig: 5.6456, pseudo_num_mining: 1.0339, pseudo_num(acc): 0.8866, pseudo_num ig(acc): 0.4906, loss: 1.2569
2021-11-01 02:12:35,044 - mmdet - INFO - Iter [25650/40000]	lr: 2.000e-02, eta: 7:42:29, time: 1.718, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0468, loss_cls: 0.2034, acc: 92.9806, loss_bbox: 0.2445, loss_rpn_cls_unlabeled: 0.0841, loss_rpn_bbox_unlabeled: 0.0866, loss_cls_unlabeled: 0.1901, acc_unlabeled: 92.6588, loss_bbox_unlabeled: 0.1839, losses_cls_ig_unlabeled: 0.1773, pseudo_num: 1.4942, pseudo_num_ig: 5.6457, pseudo_num_mining: 1.0345, pseudo_num(acc): 0.8866, pseudo_num ig(acc): 0.4907, loss: 1.2454
2021-11-01 02:13:59,504 - mmdet - INFO - Iter [25700/40000]	lr: 2.000e-02, eta: 7:40:46, time: 1.688, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0486, loss_cls: 0.2110, acc: 92.6619, loss_bbox: 0.2543, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1877, acc_unlabeled: 92.4688, loss_bbox_unlabeled: 0.1830, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4941, pseudo_num_ig: 5.6454, pseudo_num_mining: 1.0350, pseudo_num(acc): 0.8866, pseudo_num ig(acc): 0.4907, loss: 1.2804
2021-11-01 02:15:23,853 - mmdet - INFO - Iter [25750/40000]	lr: 2.000e-02, eta: 7:39:02, time: 1.687, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0473, loss_cls: 0.2056, acc: 92.7372, loss_bbox: 0.2539, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1940, acc_unlabeled: 92.3274, loss_bbox_unlabeled: 0.1910, losses_cls_ig_unlabeled: 0.1842, pseudo_num: 1.4941, pseudo_num_ig: 5.6455, pseudo_num_mining: 1.0356, pseudo_num(acc): 0.8866, pseudo_num ig(acc): 0.4908, loss: 1.2888
2021-11-01 02:16:50,334 - mmdet - INFO - Iter [25800/40000]	lr: 2.000e-02, eta: 7:37:20, time: 1.730, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0491, loss_cls: 0.2138, acc: 92.4856, loss_bbox: 0.2589, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1849, acc_unlabeled: 92.4135, loss_bbox_unlabeled: 0.1803, losses_cls_ig_unlabeled: 0.1817, pseudo_num: 1.4940, pseudo_num_ig: 5.6458, pseudo_num_mining: 1.0362, pseudo_num(acc): 0.8867, pseudo_num ig(acc): 0.4908, loss: 1.2800
2021-11-01 02:18:14,731 - mmdet - INFO - Iter [25850/40000]	lr: 2.000e-02, eta: 7:35:36, time: 1.686, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0464, loss_cls: 0.2057, acc: 92.8219, loss_bbox: 0.2515, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1850, acc_unlabeled: 92.5208, loss_bbox_unlabeled: 0.1842, losses_cls_ig_unlabeled: 0.1734, pseudo_num: 1.4940, pseudo_num_ig: 5.6457, pseudo_num_mining: 1.0365, pseudo_num(acc): 0.8867, pseudo_num ig(acc): 0.4908, loss: 1.2552
2021-11-01 02:19:40,448 - mmdet - INFO - Iter [25900/40000]	lr: 2.000e-02, eta: 7:33:54, time: 1.716, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0468, loss_cls: 0.1998, acc: 92.9911, loss_bbox: 0.2469, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1822, acc_unlabeled: 92.4452, loss_bbox_unlabeled: 0.1795, losses_cls_ig_unlabeled: 0.1829, pseudo_num: 1.4940, pseudo_num_ig: 5.6457, pseudo_num_mining: 1.0370, pseudo_num(acc): 0.8867, pseudo_num ig(acc): 0.4908, loss: 1.2452
2021-11-01 02:21:06,395 - mmdet - INFO - Iter [25950/40000]	lr: 2.000e-02, eta: 7:32:12, time: 1.718, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0483, loss_cls: 0.2053, acc: 92.7997, loss_bbox: 0.2523, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1912, acc_unlabeled: 92.3586, loss_bbox_unlabeled: 0.1842, losses_cls_ig_unlabeled: 0.1825, pseudo_num: 1.4939, pseudo_num_ig: 5.6458, pseudo_num_mining: 1.0374, pseudo_num(acc): 0.8867, pseudo_num ig(acc): 0.4908, loss: 1.2717
2021-11-01 02:22:29,335 - mmdet - INFO - pseudo pos: 0.98(48368.0-person) 0.94(1114.0-bicycle) 0.94(8151.0-car) 0.98(1474.0-motorcycle) 0.99(856.0-airplane) 1.00(972.0-bus) 0.99(917.0-train) 0.78(1966.0-truck) 0.78(2034.0-boat) 0.93(2561.0-traffic light) 0.99(298.0-fire hydrant) 0.99(337.0-stop sign) 0.94(233.0-parking meter) 0.77(1872.0-bench) 0.93(1813.0-bird) 0.98(961.0-cat) 0.98(941.0-dog) 0.99(1161.0-horse) 0.94(1863.0-sheep) 0.96(1390.0-cow) 1.00(910.0-elephant) 0.99(265.0-bear) 0.99(879.0-zebra) 0.99(908.0-giraffe) 0.61(1547.0-backpack) 0.85(2140.0-umbrella) 0.56(1982.0-handbag) 0.93(947.0-tie) 0.82(981.0-suitcase) 1.00(450.0-frisbee) 0.77(1165.0-skis) 0.81(450.0-snowboard) 0.98(1109.0-sports ball) 0.91(1547.0-kite) 0.91(573.0-baseball bat) 0.97(621.0-baseball glove) 0.99(988.0-skateboard) 0.91(1263.0-surfboard) 0.99(729.0-tennis racket) 0.89(3951.0-bottle) 0.95(1341.0-wine glass) 0.90(4098.0-cup) 0.84(868.0-fork) 0.58(1449.0-knife) 0.55(1095.0-spoon) 0.84(2816.0-bowl) 0.71(1855.0-banana) 0.57(904.0-apple) 0.84(902.0-sandwich) 0.67(1359.0-orange) 0.72(1295.0-broccoli) 0.58(1453.0-carrot) 0.82(509.0-hot dog) 0.96(1065.0-pizza) 0.92(1306.0-donut) 0.89(1065.0-cake) 0.81(6914.0-chair) 0.86(1131.0-couch) 0.78(1670.0-potted plant) 0.96(772.0-bed) 0.74(3642.0-dining table) 0.96(632.0-toilet) 0.98(903.0-tv) 0.98(855.0-laptop) 0.98(387.0-mouse) 0.80(870.0-remote) 0.99(502.0-keyboard) 0.85(1233.0-cell phone) 0.99(258.0-microwave) 0.91(677.0-oven) 0.33(39.0-toaster) 0.85(968.0-sink) 0.98(482.0-refrigerator) 0.37(3744.0-book) 0.99(1164.0-clock) 0.90(1313.0-vase) 0.77(268.0-scissors) 0.94(919.0-teddy bear) 0.00(0.0-hair drier) 0.56(293.0-toothbrush)
2021-11-01 02:22:29,335 - mmdet - INFO - pseudo ig: 0.65(177030.0-person) 0.45(4431.0-bicycle) 0.51(31174.0-car) 0.59(6043.0-motorcycle) 0.72(3135.0-airplane) 0.68(3829.0-bus) 0.63(3058.0-train) 0.35(7496.0-truck) 0.36(7480.0-boat) 0.40(9778.0-traffic light) 0.72(1265.0-fire hydrant) 0.65(1307.0-stop sign) 0.38(870.0-parking meter) 0.23(6814.0-bench) 0.35(7278.0-bird) 0.75(3258.0-cat) 0.68(3459.0-dog) 0.63(4200.0-horse) 0.52(7127.0-sheep) 0.54(5936.0-cow) 0.79(3823.0-elephant) 0.72(929.0-bear) 0.81(3476.0-zebra) 0.88(3170.0-giraffe) 0.24(6125.0-backpack) 0.42(8451.0-umbrella) 0.21(8429.0-handbag) 0.47(3636.0-tie) 0.42(3704.0-suitcase) 0.62(1729.0-frisbee) 0.36(4373.0-skis) 0.35(1770.0-snowboard) 0.42(4297.0-sports ball) 0.48(5559.0-kite) 0.41(2413.0-baseball bat) 0.48(2356.0-baseball glove) 0.60(3714.0-skateboard) 0.45(4751.0-surfboard) 0.69(3132.0-tennis racket) 0.44(15871.0-bottle) 0.46(5537.0-wine glass) 0.37(16483.0-cup) 0.30(3797.0-fork) 0.25(5330.0-knife) 0.20(4779.0-spoon) 0.38(11268.0-bowl) 0.28(7626.0-banana) 0.22(4018.0-apple) 0.36(3151.0-sandwich) 0.27(4952.0-orange) 0.39(5076.0-broccoli) 0.25(5400.0-carrot) 0.32(1794.0-hot dog) 0.56(3991.0-pizza) 0.44(4660.0-donut) 0.39(4148.0-cake) 0.32(26503.0-chair) 0.41(4385.0-couch) 0.38(6224.0-potted plant) 0.53(2679.0-bed) 0.37(10525.0-dining table) 0.73(2721.0-toilet) 0.63(3928.0-tv) 0.59(3558.0-laptop) 0.50(1549.0-mouse) 0.37(3937.0-remote) 0.48(1946.0-keyboard) 0.30(4559.0-cell phone) 0.59(1106.0-microwave) 0.38(2435.0-oven) 0.11(100.0-toaster) 0.47(3779.0-sink) 0.49(1780.0-refrigerator) 0.20(14886.0-book) 0.63(4001.0-clock) 0.39(5054.0-vase) 0.25(1038.0-scissors) 0.48(3487.0-teddy bear) 0.00(0.0-hair drier) 0.23(1146.0-toothbrush)
2021-11-01 02:22:29,336 - mmdet - INFO - pseudo gt: 227828.0 6308.0 38090.0 7908.0 4569.0 5498.0 3875.0 8678.0 9032.0 11408.0 1629.0 1759.0 1098.0 8885.0 8980.0 4109.0 4896.0 5502.0 8510.0 7075.0 5003.0 1161.0 4738.0 4422.0 7642.0 9917.0 10682.0 5749.0 5536.0 2325.0 5779.0 2424.0 5354.0 7770.0 2820.0 3287.0 5047.0 5105.0 4230.0 21153.0 7078.0 17918.0 4854.0 6981.0 5238.0 12174.0 7962.0 4835.0 3803.0 5285.0 6613.0 6701.0 2548.0 5106.0 6155.0 5697.0 33638.0 5128.0 7752.0 3655.0 13885.0 3694.0 5165.0 4375.0 1936.0 4933.0 2465.0 5561.0 1490.0 2880.0 187.0 4886.0 2418.0 21225.0 5733.0 5802.0 1209.0 4043.0 170.0 1613.0
2021-11-01 02:22:29,336 - mmdet - INFO - pseudo mining: 54407.0 237.0 5815.0 775.0 851.0 1245.0 648.0 90.0 278.0 1501.0 653.0 891.0 75.0 53.0 409.0 718.0 601.0 1047.0 1665.0 1135.0 1962.0 398.0 2067.0 2114.0 23.0 718.0 26.0 469.0 187.0 841.0 124.0 16.0 1580.0 1600.0 240.0 767.0 933.0 291.0 1238.0 1957.0 622.0 1886.0 27.0 41.0 26.0 971.0 133.0 29.0 101.0 74.0 390.0 109.0 18.0 857.0 1009.0 155.0 297.0 98.0 404.0 106.0 223.0 1442.0 1657.0 805.0 611.0 252.0 301.0 344.0 311.0 188.0 0.0 780.0 198.0 50.0 2848.0 520.0 10.0 346.0 0.0 14.0
2021-11-01 02:23:26,509 - mmdet - INFO - Evaluating bbox...
2021-11-01 02:24:40,424 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.465 | bicycle      | 0.204 | car            | 0.370 |
| motorcycle    | 0.283 | airplane     | 0.502 | bus            | 0.521 |
| train         | 0.512 | truck        | 0.250 | boat           | 0.189 |
| traffic light | 0.232 | fire hydrant | 0.529 | stop sign      | 0.589 |
| parking meter | 0.349 | bench        | 0.170 | bird           | 0.234 |
| cat           | 0.494 | dog          | 0.448 | horse          | 0.449 |
| sheep         | 0.369 | cow          | 0.435 | elephant       | 0.535 |
| bear          | 0.576 | zebra        | 0.532 | giraffe        | 0.585 |
| backpack      | 0.106 | umbrella     | 0.266 | handbag        | 0.082 |
| tie           | 0.225 | suitcase     | 0.206 | frisbee        | 0.523 |
| skis          | 0.147 | snowboard    | 0.184 | sports ball    | 0.394 |
| kite          | 0.323 | baseball bat | 0.196 | baseball glove | 0.293 |
| skateboard    | 0.384 | surfboard    | 0.251 | tennis racket  | 0.336 |
| bottle        | 0.314 | wine glass   | 0.281 | cup            | 0.331 |
| fork          | 0.176 | knife        | 0.101 | spoon          | 0.087 |
| bowl          | 0.346 | banana       | 0.142 | apple          | 0.102 |
| sandwich      | 0.237 | orange       | 0.235 | broccoli       | 0.175 |
| carrot        | 0.123 | hot dog      | 0.165 | pizza          | 0.383 |
| donut         | 0.344 | cake         | 0.215 | chair          | 0.179 |
| couch         | 0.313 | potted plant | 0.161 | bed            | 0.332 |
| dining table  | 0.186 | toilet       | 0.472 | tv             | 0.479 |
| laptop        | 0.466 | mouse        | 0.516 | remote         | 0.175 |
| keyboard      | 0.362 | cell phone   | 0.263 | microwave      | 0.434 |
| oven          | 0.243 | toaster      | 0.203 | sink           | 0.278 |
| refrigerator  | 0.389 | book         | 0.054 | clock          | 0.401 |
| vase          | 0.299 | scissors     | 0.153 | teddy bear     | 0.321 |
| hair drier    | 0.000 | toothbrush   | 0.133 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 02:25:36,615 - mmdet - INFO - Evaluating bbox...
2021-11-01 02:26:47,429 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.485 | bicycle      | 0.236 | car            | 0.392 |
| motorcycle    | 0.346 | airplane     | 0.552 | bus            | 0.574 |
| train         | 0.542 | truck        | 0.267 | boat           | 0.214 |
| traffic light | 0.252 | fire hydrant | 0.572 | stop sign      | 0.612 |
| parking meter | 0.424 | bench        | 0.181 | bird           | 0.288 |
| cat           | 0.535 | dog          | 0.502 | horse          | 0.486 |
| sheep         | 0.409 | cow          | 0.494 | elephant       | 0.553 |
| bear          | 0.582 | zebra        | 0.570 | giraffe        | 0.620 |
| backpack      | 0.124 | umbrella     | 0.301 | handbag        | 0.096 |
| tie           | 0.247 | suitcase     | 0.237 | frisbee        | 0.580 |
| skis          | 0.164 | snowboard    | 0.243 | sports ball    | 0.407 |
| kite          | 0.339 | baseball bat | 0.228 | baseball glove | 0.317 |
| skateboard    | 0.425 | surfboard    | 0.291 | tennis racket  | 0.371 |
| bottle        | 0.329 | wine glass   | 0.294 | cup            | 0.347 |
| fork          | 0.211 | knife        | 0.120 | spoon          | 0.103 |
| bowl          | 0.364 | banana       | 0.170 | apple          | 0.124 |
| sandwich      | 0.276 | orange       | 0.271 | broccoli       | 0.194 |
| carrot        | 0.140 | hot dog      | 0.196 | pizza          | 0.419 |
| donut         | 0.346 | cake         | 0.254 | chair          | 0.198 |
| couch         | 0.345 | potted plant | 0.186 | bed            | 0.347 |
| dining table  | 0.196 | toilet       | 0.515 | tv             | 0.492 |
| laptop        | 0.512 | mouse        | 0.556 | remote         | 0.214 |
| keyboard      | 0.421 | cell phone   | 0.287 | microwave      | 0.456 |
| oven          | 0.251 | toaster      | 0.306 | sink           | 0.293 |
| refrigerator  | 0.409 | book         | 0.069 | clock          | 0.449 |
| vase          | 0.330 | scissors     | 0.227 | teddy bear     | 0.352 |
| hair drier    | 0.003 | toothbrush   | 0.165 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 02:28:16,984 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 02:28:16,985 - mmdet - INFO - Iter [26000/40000]	lr: 2.000e-02, eta: 7:30:29, time: 1.694, data_time: 0.035, memory: 26484, bbox_mAP: 0.3350, bbox_mAP_50: 0.5360, bbox_mAP_75: 0.3600, bbox_mAP_s: 0.1930, bbox_mAP_m: 0.3650, bbox_mAP_l: 0.4350, bbox_mAP_copypaste: 0.335 0.536 0.360 0.193 0.365 0.435, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0496, loss_cls: 0.2098, acc: 92.6718, loss_bbox: 0.2578, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0919, loss_cls_unlabeled: 0.1983, acc_unlabeled: 92.2693, loss_bbox_unlabeled: 0.1890, losses_cls_ig_unlabeled: 0.1885, pseudo_num: 1.4939, pseudo_num_ig: 5.6461, pseudo_num_mining: 1.0378, pseudo_num(acc): 0.8867, pseudo_num ig(acc): 0.4908, loss: 1.3029
2021-11-01 02:29:41,998 - mmdet - INFO - Iter [26050/40000]	lr: 2.000e-02, eta: 7:31:51, time: 8.619, data_time: 6.950, memory: 26484, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0478, loss_cls: 0.2156, acc: 92.4861, loss_bbox: 0.2565, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0866, loss_cls_unlabeled: 0.1830, acc_unlabeled: 92.6465, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1826, pseudo_num: 1.4938, pseudo_num_ig: 5.6461, pseudo_num_mining: 1.0383, pseudo_num(acc): 0.8867, pseudo_num ig(acc): 0.4909, loss: 1.2695
2021-11-01 02:31:08,130 - mmdet - INFO - Iter [26100/40000]	lr: 2.000e-02, eta: 7:30:08, time: 1.723, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0497, loss_cls: 0.2143, acc: 92.4873, loss_bbox: 0.2585, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1905, acc_unlabeled: 92.4590, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1836, pseudo_num: 1.4937, pseudo_num_ig: 5.6464, pseudo_num_mining: 1.0390, pseudo_num(acc): 0.8867, pseudo_num ig(acc): 0.4909, loss: 1.2925
2021-11-01 02:32:34,134 - mmdet - INFO - Iter [26150/40000]	lr: 2.000e-02, eta: 7:28:25, time: 1.718, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0486, loss_cls: 0.2091, acc: 92.6464, loss_bbox: 0.2534, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1925, acc_unlabeled: 92.4287, loss_bbox_unlabeled: 0.1859, losses_cls_ig_unlabeled: 0.1903, pseudo_num: 1.4936, pseudo_num_ig: 5.6466, pseudo_num_mining: 1.0395, pseudo_num(acc): 0.8867, pseudo_num ig(acc): 0.4909, loss: 1.2853
2021-11-01 02:34:02,315 - mmdet - INFO - Iter [26200/40000]	lr: 2.000e-02, eta: 7:26:43, time: 1.767, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0478, loss_cls: 0.2033, acc: 92.8617, loss_bbox: 0.2528, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1860, acc_unlabeled: 92.6167, loss_bbox_unlabeled: 0.1844, losses_cls_ig_unlabeled: 0.1771, pseudo_num: 1.4936, pseudo_num_ig: 5.6464, pseudo_num_mining: 1.0399, pseudo_num(acc): 0.8868, pseudo_num ig(acc): 0.4909, loss: 1.2627
2021-11-01 02:35:27,693 - mmdet - INFO - Iter [26250/40000]	lr: 2.000e-02, eta: 7:25:00, time: 1.709, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0458, loss_cls: 0.2028, acc: 92.9432, loss_bbox: 0.2459, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1869, acc_unlabeled: 92.5151, loss_bbox_unlabeled: 0.1843, losses_cls_ig_unlabeled: 0.1787, pseudo_num: 1.4936, pseudo_num_ig: 5.6463, pseudo_num_mining: 1.0404, pseudo_num(acc): 0.8868, pseudo_num ig(acc): 0.4909, loss: 1.2527
2021-11-01 02:36:52,184 - mmdet - INFO - Iter [26300/40000]	lr: 2.000e-02, eta: 7:23:16, time: 1.689, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0498, loss_cls: 0.2096, acc: 92.7303, loss_bbox: 0.2525, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1850, acc_unlabeled: 92.3369, loss_bbox_unlabeled: 0.1829, losses_cls_ig_unlabeled: 0.1811, pseudo_num: 1.4936, pseudo_num_ig: 5.6465, pseudo_num_mining: 1.0409, pseudo_num(acc): 0.8868, pseudo_num ig(acc): 0.4909, loss: 1.2770
2021-11-01 02:38:16,885 - mmdet - INFO - Iter [26350/40000]	lr: 2.000e-02, eta: 7:21:33, time: 1.689, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0479, loss_cls: 0.2108, acc: 92.6486, loss_bbox: 0.2542, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1873, acc_unlabeled: 92.5085, loss_bbox_unlabeled: 0.1844, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4936, pseudo_num_ig: 5.6465, pseudo_num_mining: 1.0414, pseudo_num(acc): 0.8869, pseudo_num ig(acc): 0.4910, loss: 1.2715
2021-11-01 02:39:41,086 - mmdet - INFO - Iter [26400/40000]	lr: 2.000e-02, eta: 7:19:49, time: 1.688, data_time: 0.033, memory: 26484, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0472, loss_cls: 0.2032, acc: 92.9613, loss_bbox: 0.2472, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1888, acc_unlabeled: 92.6237, loss_bbox_unlabeled: 0.1835, losses_cls_ig_unlabeled: 0.1797, pseudo_num: 1.4936, pseudo_num_ig: 5.6466, pseudo_num_mining: 1.0419, pseudo_num(acc): 0.8869, pseudo_num ig(acc): 0.4910, loss: 1.2540
2021-11-01 02:41:06,283 - mmdet - INFO - Iter [26450/40000]	lr: 2.000e-02, eta: 7:18:06, time: 1.703, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0488, loss_cls: 0.2050, acc: 92.8971, loss_bbox: 0.2486, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1793, acc_unlabeled: 92.8794, loss_bbox_unlabeled: 0.1789, losses_cls_ig_unlabeled: 0.1771, pseudo_num: 1.4936, pseudo_num_ig: 5.6465, pseudo_num_mining: 1.0424, pseudo_num(acc): 0.8869, pseudo_num ig(acc): 0.4910, loss: 1.2483
2021-11-01 02:42:30,985 - mmdet - INFO - pseudo pos: 0.98(49281.0-person) 0.94(1141.0-bicycle) 0.94(8275.0-car) 0.98(1492.0-motorcycle) 0.99(871.0-airplane) 1.00(998.0-bus) 0.99(932.0-train) 0.78(1996.0-truck) 0.78(2084.0-boat) 0.93(2604.0-traffic light) 0.99(304.0-fire hydrant) 0.99(342.0-stop sign) 0.94(238.0-parking meter) 0.77(1909.0-bench) 0.93(1837.0-bird) 0.98(991.0-cat) 0.98(955.0-dog) 0.99(1190.0-horse) 0.94(1897.0-sheep) 0.96(1411.0-cow) 1.00(924.0-elephant) 0.99(274.0-bear) 0.99(890.0-zebra) 0.99(936.0-giraffe) 0.61(1574.0-backpack) 0.85(2180.0-umbrella) 0.56(2025.0-handbag) 0.93(964.0-tie) 0.83(1012.0-suitcase) 1.00(456.0-frisbee) 0.77(1190.0-skis) 0.81(463.0-snowboard) 0.98(1131.0-sports ball) 0.91(1576.0-kite) 0.91(595.0-baseball bat) 0.97(638.0-baseball glove) 0.99(995.0-skateboard) 0.91(1284.0-surfboard) 0.99(743.0-tennis racket) 0.89(4009.0-bottle) 0.95(1368.0-wine glass) 0.90(4162.0-cup) 0.84(882.0-fork) 0.59(1473.0-knife) 0.55(1114.0-spoon) 0.83(2886.0-bowl) 0.71(1890.0-banana) 0.57(917.0-apple) 0.83(920.0-sandwich) 0.67(1379.0-orange) 0.71(1331.0-broccoli) 0.58(1477.0-carrot) 0.82(513.0-hot dog) 0.96(1087.0-pizza) 0.92(1352.0-donut) 0.89(1080.0-cake) 0.81(7061.0-chair) 0.86(1154.0-couch) 0.78(1708.0-potted plant) 0.96(792.0-bed) 0.74(3713.0-dining table) 0.95(643.0-toilet) 0.98(917.0-tv) 0.98(871.0-laptop) 0.98(392.0-mouse) 0.80(890.0-remote) 0.99(508.0-keyboard) 0.86(1257.0-cell phone) 0.99(268.0-microwave) 0.91(687.0-oven) 0.34(44.0-toaster) 0.85(988.0-sink) 0.98(493.0-refrigerator) 0.37(3840.0-book) 0.99(1185.0-clock) 0.90(1338.0-vase) 0.78(272.0-scissors) 0.94(931.0-teddy bear) 0.00(0.0-hair drier) 0.55(301.0-toothbrush)
2021-11-01 02:42:30,986 - mmdet - INFO - pseudo ig: 0.65(180043.0-person) 0.45(4498.0-bicycle) 0.51(31746.0-car) 0.59(6174.0-motorcycle) 0.72(3167.0-airplane) 0.68(3902.0-bus) 0.62(3129.0-train) 0.35(7635.0-truck) 0.36(7596.0-boat) 0.40(9940.0-traffic light) 0.73(1289.0-fire hydrant) 0.65(1345.0-stop sign) 0.38(891.0-parking meter) 0.23(6927.0-bench) 0.35(7378.0-bird) 0.75(3310.0-cat) 0.68(3518.0-dog) 0.63(4277.0-horse) 0.52(7247.0-sheep) 0.54(6060.0-cow) 0.79(3893.0-elephant) 0.71(954.0-bear) 0.81(3522.0-zebra) 0.88(3257.0-giraffe) 0.24(6240.0-backpack) 0.43(8611.0-umbrella) 0.22(8576.0-handbag) 0.47(3728.0-tie) 0.42(3803.0-suitcase) 0.62(1768.0-frisbee) 0.36(4456.0-skis) 0.35(1792.0-snowboard) 0.42(4378.0-sports ball) 0.48(5664.0-kite) 0.42(2447.0-baseball bat) 0.48(2403.0-baseball glove) 0.61(3790.0-skateboard) 0.45(4845.0-surfboard) 0.69(3197.0-tennis racket) 0.44(16141.0-bottle) 0.46(5629.0-wine glass) 0.37(16802.0-cup) 0.30(3853.0-fork) 0.25(5418.0-knife) 0.20(4871.0-spoon) 0.38(11515.0-bowl) 0.28(7776.0-banana) 0.22(4073.0-apple) 0.36(3196.0-sandwich) 0.27(5086.0-orange) 0.39(5171.0-broccoli) 0.25(5491.0-carrot) 0.32(1827.0-hot dog) 0.56(4083.0-pizza) 0.44(4758.0-donut) 0.40(4224.0-cake) 0.32(27146.0-chair) 0.41(4467.0-couch) 0.38(6340.0-potted plant) 0.53(2743.0-bed) 0.37(10739.0-dining table) 0.73(2769.0-toilet) 0.63(4023.0-tv) 0.59(3634.0-laptop) 0.50(1573.0-mouse) 0.37(4008.0-remote) 0.48(1992.0-keyboard) 0.30(4638.0-cell phone) 0.59(1118.0-microwave) 0.38(2487.0-oven) 0.10(108.0-toaster) 0.47(3877.0-sink) 0.49(1819.0-refrigerator) 0.20(15148.0-book) 0.63(4090.0-clock) 0.39(5153.0-vase) 0.25(1059.0-scissors) 0.48(3567.0-teddy bear) 0.00(0.0-hair drier) 0.23(1168.0-toothbrush)
2021-11-01 02:42:30,986 - mmdet - INFO - pseudo gt: 231868.0 6412.0 38825.0 8058.0 4624.0 5614.0 3946.0 8845.0 9218.0 11600.0 1669.0 1794.0 1120.0 9029.0 9125.0 4192.0 4979.0 5606.0 8672.0 7206.0 5105.0 1190.0 4800.0 4534.0 7737.0 10147.0 10898.0 5860.0 5651.0 2373.0 5870.0 2463.0 5501.0 7926.0 2866.0 3350.0 5140.0 5228.0 4317.0 21532.0 7230.0 18309.0 4955.0 7119.0 5356.0 12435.0 8084.0 4914.0 3889.0 5430.0 6760.0 6835.0 2602.0 5202.0 6269.0 5838.0 34313.0 5235.0 7901.0 3745.0 14155.0 3764.0 5262.0 4453.0 1974.0 5038.0 2510.0 5665.0 1523.0 2929.0 190.0 4987.0 2461.0 21606.0 5828.0 5903.0 1223.0 4112.0 172.0 1638.0
2021-11-01 02:42:30,986 - mmdet - INFO - pseudo mining: 55506.0 241.0 5963.0 803.0 865.0 1285.0 666.0 95.0 289.0 1530.0 674.0 912.0 76.0 53.0 412.0 743.0 626.0 1077.0 1704.0 1169.0 2015.0 408.0 2098.0 2172.0 24.0 741.0 27.0 485.0 188.0 861.0 125.0 16.0 1611.0 1630.0 246.0 778.0 972.0 306.0 1266.0 2011.0 632.0 1947.0 28.0 41.0 27.0 1002.0 135.0 29.0 101.0 79.0 406.0 115.0 18.0 884.0 1034.0 162.0 319.0 102.0 418.0 116.0 227.0 1477.0 1707.0 820.0 629.0 261.0 311.0 358.0 317.0 196.0 0.0 804.0 204.0 52.0 2908.0 530.0 10.0 364.0 0.0 14.0
2021-11-01 02:42:32,456 - mmdet - INFO - Iter [26500/40000]	lr: 2.000e-02, eta: 7:16:24, time: 1.724, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0474, loss_cls: 0.2063, acc: 92.7605, loss_bbox: 0.2491, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1847, acc_unlabeled: 92.7499, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1719, pseudo_num: 1.4935, pseudo_num_ig: 5.6463, pseudo_num_mining: 1.0429, pseudo_num(acc): 0.8869, pseudo_num ig(acc): 0.4910, loss: 1.2482
2021-11-01 02:43:58,263 - mmdet - INFO - Iter [26550/40000]	lr: 2.000e-02, eta: 7:14:41, time: 1.711, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0471, loss_cls: 0.2033, acc: 92.9225, loss_bbox: 0.2498, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0914, loss_cls_unlabeled: 0.1843, acc_unlabeled: 92.5497, loss_bbox_unlabeled: 0.1862, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4937, pseudo_num_ig: 5.6465, pseudo_num_mining: 1.0434, pseudo_num(acc): 0.8869, pseudo_num ig(acc): 0.4911, loss: 1.2620
2021-11-01 02:45:22,984 - mmdet - INFO - Iter [26600/40000]	lr: 2.000e-02, eta: 7:12:58, time: 1.700, data_time: 0.036, memory: 26484, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0503, loss_cls: 0.2144, acc: 92.4474, loss_bbox: 0.2636, loss_rpn_cls_unlabeled: 0.0829, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1926, acc_unlabeled: 92.4792, loss_bbox_unlabeled: 0.1931, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4937, pseudo_num_ig: 5.6464, pseudo_num_mining: 1.0439, pseudo_num(acc): 0.8869, pseudo_num ig(acc): 0.4911, loss: 1.3041
2021-11-01 02:46:47,912 - mmdet - INFO - Iter [26650/40000]	lr: 2.000e-02, eta: 7:11:15, time: 1.700, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0485, loss_cls: 0.2130, acc: 92.5562, loss_bbox: 0.2561, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0892, loss_cls_unlabeled: 0.1822, acc_unlabeled: 92.5731, loss_bbox_unlabeled: 0.1788, losses_cls_ig_unlabeled: 0.1794, pseudo_num: 1.4937, pseudo_num_ig: 5.6460, pseudo_num_mining: 1.0443, pseudo_num(acc): 0.8870, pseudo_num ig(acc): 0.4911, loss: 1.2665
2021-11-01 02:48:13,941 - mmdet - INFO - Iter [26700/40000]	lr: 2.000e-02, eta: 7:09:33, time: 1.717, data_time: 0.030, memory: 26484, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0481, loss_cls: 0.2045, acc: 92.8522, loss_bbox: 0.2500, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1841, acc_unlabeled: 92.4865, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4937, pseudo_num_ig: 5.6458, pseudo_num_mining: 1.0447, pseudo_num(acc): 0.8870, pseudo_num ig(acc): 0.4911, loss: 1.2644
2021-11-01 02:49:40,495 - mmdet - INFO - Iter [26750/40000]	lr: 2.000e-02, eta: 7:07:51, time: 1.733, data_time: 0.034, memory: 26484, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0452, loss_cls: 0.2047, acc: 92.7800, loss_bbox: 0.2495, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.0888, loss_cls_unlabeled: 0.1824, acc_unlabeled: 92.5515, loss_bbox_unlabeled: 0.1821, losses_cls_ig_unlabeled: 0.1771, pseudo_num: 1.4937, pseudo_num_ig: 5.6458, pseudo_num_mining: 1.0452, pseudo_num(acc): 0.8870, pseudo_num ig(acc): 0.4912, loss: 1.2422
2021-11-01 02:52:23,963 - mmdet - INFO - Iter [26800/40000]	lr: 2.000e-02, eta: 7:06:47, time: 3.270, data_time: 0.029, memory: 26484, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0472, loss_cls: 0.1980, acc: 93.0553, loss_bbox: 0.2461, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1873, acc_unlabeled: 92.5734, loss_bbox_unlabeled: 0.1884, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.4937, pseudo_num_ig: 5.6457, pseudo_num_mining: 1.0456, pseudo_num(acc): 0.8871, pseudo_num ig(acc): 0.4912, loss: 1.2576
2021-11-01 02:53:51,016 - mmdet - INFO - Iter [26850/40000]	lr: 2.000e-02, eta: 7:05:05, time: 1.740, data_time: 0.036, memory: 26484, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0476, loss_cls: 0.2044, acc: 92.7805, loss_bbox: 0.2487, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1913, acc_unlabeled: 92.5509, loss_bbox_unlabeled: 0.1846, losses_cls_ig_unlabeled: 0.1785, pseudo_num: 1.4938, pseudo_num_ig: 5.6456, pseudo_num_mining: 1.0461, pseudo_num(acc): 0.8870, pseudo_num ig(acc): 0.4912, loss: 1.2645
2021-11-01 02:55:16,928 - mmdet - INFO - Iter [26900/40000]	lr: 2.000e-02, eta: 7:03:22, time: 1.717, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0501, loss_cls: 0.2147, acc: 92.5229, loss_bbox: 0.2548, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.2035, acc_unlabeled: 91.9775, loss_bbox_unlabeled: 0.1915, losses_cls_ig_unlabeled: 0.1920, pseudo_num: 1.4938, pseudo_num_ig: 5.6459, pseudo_num_mining: 1.0466, pseudo_num(acc): 0.8870, pseudo_num ig(acc): 0.4912, loss: 1.3230
2021-11-01 02:56:43,768 - mmdet - INFO - Iter [26950/40000]	lr: 2.000e-02, eta: 7:01:40, time: 1.737, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0479, loss_cls: 0.2077, acc: 92.7755, loss_bbox: 0.2532, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1901, acc_unlabeled: 92.4290, loss_bbox_unlabeled: 0.1853, losses_cls_ig_unlabeled: 0.1834, pseudo_num: 1.4937, pseudo_num_ig: 5.6460, pseudo_num_mining: 1.0471, pseudo_num(acc): 0.8870, pseudo_num ig(acc): 0.4912, loss: 1.2805
2021-11-01 02:58:08,898 - mmdet - INFO - pseudo pos: 0.98(50201.0-person) 0.94(1164.0-bicycle) 0.94(8421.0-car) 0.98(1524.0-motorcycle) 0.99(880.0-airplane) 1.00(1010.0-bus) 0.99(946.0-train) 0.78(2025.0-truck) 0.78(2119.0-boat) 0.93(2650.0-traffic light) 0.99(309.0-fire hydrant) 0.99(350.0-stop sign) 0.94(242.0-parking meter) 0.77(1933.0-bench) 0.93(1881.0-bird) 0.98(1021.0-cat) 0.98(978.0-dog) 0.99(1210.0-horse) 0.94(1930.0-sheep) 0.96(1447.0-cow) 1.00(941.0-elephant) 0.99(279.0-bear) 0.99(905.0-zebra) 0.99(956.0-giraffe) 0.61(1604.0-backpack) 0.85(2216.0-umbrella) 0.56(2060.0-handbag) 0.93(980.0-tie) 0.83(1032.0-suitcase) 1.00(461.0-frisbee) 0.77(1216.0-skis) 0.81(473.0-snowboard) 0.98(1150.0-sports ball) 0.91(1604.0-kite) 0.92(607.0-baseball bat) 0.97(657.0-baseball glove) 0.99(1010.0-skateboard) 0.92(1307.0-surfboard) 0.99(758.0-tennis racket) 0.89(4116.0-bottle) 0.95(1395.0-wine glass) 0.90(4253.0-cup) 0.83(900.0-fork) 0.59(1507.0-knife) 0.55(1138.0-spoon) 0.84(2939.0-bowl) 0.71(1914.0-banana) 0.58(927.0-apple) 0.84(934.0-sandwich) 0.67(1402.0-orange) 0.71(1348.0-broccoli) 0.58(1503.0-carrot) 0.82(527.0-hot dog) 0.96(1121.0-pizza) 0.92(1405.0-donut) 0.89(1102.0-cake) 0.81(7209.0-chair) 0.86(1164.0-couch) 0.78(1740.0-potted plant) 0.96(818.0-bed) 0.74(3786.0-dining table) 0.96(654.0-toilet) 0.98(943.0-tv) 0.98(896.0-laptop) 0.98(400.0-mouse) 0.80(906.0-remote) 0.99(522.0-keyboard) 0.86(1276.0-cell phone) 0.99(271.0-microwave) 0.91(702.0-oven) 0.33(46.0-toaster) 0.85(1010.0-sink) 0.98(501.0-refrigerator) 0.37(3938.0-book) 0.99(1206.0-clock) 0.90(1360.0-vase) 0.77(278.0-scissors) 0.94(944.0-teddy bear) 0.00(0.0-hair drier) 0.56(307.0-toothbrush)
2021-11-01 02:58:08,898 - mmdet - INFO - pseudo ig: 0.65(183465.0-person) 0.45(4566.0-bicycle) 0.51(32314.0-car) 0.59(6269.0-motorcycle) 0.72(3214.0-airplane) 0.68(3992.0-bus) 0.63(3193.0-train) 0.35(7757.0-truck) 0.36(7710.0-boat) 0.40(10132.0-traffic light) 0.73(1305.0-fire hydrant) 0.65(1379.0-stop sign) 0.38(917.0-parking meter) 0.23(7039.0-bench) 0.35(7540.0-bird) 0.75(3362.0-cat) 0.68(3578.0-dog) 0.63(4348.0-horse) 0.53(7354.0-sheep) 0.54(6197.0-cow) 0.80(3934.0-elephant) 0.71(979.0-bear) 0.81(3578.0-zebra) 0.88(3292.0-giraffe) 0.24(6354.0-backpack) 0.43(8804.0-umbrella) 0.22(8729.0-handbag) 0.47(3797.0-tie) 0.41(3900.0-suitcase) 0.63(1793.0-frisbee) 0.36(4532.0-skis) 0.35(1833.0-snowboard) 0.41(4469.0-sports ball) 0.48(5747.0-kite) 0.41(2490.0-baseball bat) 0.48(2456.0-baseball glove) 0.61(3838.0-skateboard) 0.45(4926.0-surfboard) 0.69(3266.0-tennis racket) 0.44(16518.0-bottle) 0.46(5735.0-wine glass) 0.37(17071.0-cup) 0.30(3914.0-fork) 0.25(5513.0-knife) 0.21(4912.0-spoon) 0.38(11723.0-bowl) 0.28(7951.0-banana) 0.22(4136.0-apple) 0.36(3262.0-sandwich) 0.27(5146.0-orange) 0.39(5230.0-broccoli) 0.25(5633.0-carrot) 0.32(1843.0-hot dog) 0.56(4159.0-pizza) 0.43(4901.0-donut) 0.40(4307.0-cake) 0.32(27676.0-chair) 0.41(4534.0-couch) 0.38(6441.0-potted plant) 0.53(2801.0-bed) 0.37(10945.0-dining table) 0.73(2815.0-toilet) 0.63(4102.0-tv) 0.59(3726.0-laptop) 0.50(1609.0-mouse) 0.37(4086.0-remote) 0.48(2028.0-keyboard) 0.30(4706.0-cell phone) 0.59(1137.0-microwave) 0.38(2537.0-oven) 0.10(115.0-toaster) 0.47(3966.0-sink) 0.49(1855.0-refrigerator) 0.20(15510.0-book) 0.63(4208.0-clock) 0.39(5246.0-vase) 0.25(1074.0-scissors) 0.48(3661.0-teddy bear) 0.00(0.0-hair drier) 0.23(1197.0-toothbrush)
2021-11-01 02:58:08,899 - mmdet - INFO - pseudo gt: 236344.0 6526.0 39547.0 8202.0 4680.0 5722.0 4025.0 8972.0 9403.0 11824.0 1695.0 1823.0 1151.0 9225.0 9278.0 4268.0 5073.0 5697.0 8852.0 7363.0 5176.0 1217.0 4875.0 4593.0 7861.0 10409.0 11120.0 5970.0 5757.0 2406.0 5963.0 2519.0 5596.0 8073.0 2923.0 3438.0 5214.0 5344.0 4390.0 22050.0 7401.0 18667.0 5036.0 7263.0 5438.0 12660.0 8260.0 4988.0 3975.0 5540.0 6852.0 7003.0 2649.0 5320.0 6437.0 5958.0 34965.0 5330.0 8044.0 3827.0 14451.0 3842.0 5365.0 4541.0 2017.0 5124.0 2566.0 5760.0 1554.0 2986.0 192.0 5085.0 2501.0 22041.0 5945.0 6012.0 1243.0 4191.0 174.0 1679.0
2021-11-01 02:58:08,899 - mmdet - INFO - pseudo mining: 56857.0 248.0 6119.0 821.0 885.0 1328.0 683.0 100.0 297.0 1564.0 687.0 929.0 79.0 54.0 423.0 756.0 644.0 1098.0 1735.0 1208.0 2043.0 418.0 2126.0 2198.0 26.0 765.0 29.0 497.0 190.0 881.0 127.0 17.0 1639.0 1656.0 250.0 794.0 992.0 318.0 1291.0 2062.0 647.0 1988.0 29.0 45.0 27.0 1028.0 140.0 29.0 102.0 83.0 415.0 123.0 19.0 903.0 1062.0 167.0 328.0 106.0 433.0 119.0 230.0 1509.0 1748.0 845.0 649.0 267.0 318.0 372.0 324.0 202.0 0.0 829.0 208.0 53.0 2977.0 545.0 10.0 374.0 0.0 15.0
2021-11-01 02:59:40,060 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 02:59:40,061 - mmdet - INFO - Iter [27000/40000]	lr: 2.000e-02, eta: 6:59:59, time: 1.739, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0496, loss_cls: 0.2028, acc: 92.8761, loss_bbox: 0.2501, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1907, acc_unlabeled: 92.4270, loss_bbox_unlabeled: 0.1860, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.4937, pseudo_num_ig: 5.6460, pseudo_num_mining: 1.0476, pseudo_num(acc): 0.8871, pseudo_num ig(acc): 0.4913, loss: 1.2673
2021-11-01 03:01:05,232 - mmdet - INFO - Iter [27050/40000]	lr: 2.000e-02, eta: 6:58:59, time: 3.493, data_time: 1.817, memory: 26484, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0470, loss_cls: 0.1995, acc: 93.0334, loss_bbox: 0.2441, loss_rpn_cls_unlabeled: 0.0835, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1864, acc_unlabeled: 92.3662, loss_bbox_unlabeled: 0.1811, losses_cls_ig_unlabeled: 0.1856, pseudo_num: 1.4938, pseudo_num_ig: 5.6460, pseudo_num_mining: 1.0481, pseudo_num(acc): 0.8871, pseudo_num ig(acc): 0.4913, loss: 1.2476
2021-11-01 03:02:30,451 - mmdet - INFO - Iter [27100/40000]	lr: 2.000e-02, eta: 6:57:16, time: 1.702, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0485, loss_cls: 0.2009, acc: 92.9170, loss_bbox: 0.2471, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0912, loss_cls_unlabeled: 0.1849, acc_unlabeled: 92.5659, loss_bbox_unlabeled: 0.1835, losses_cls_ig_unlabeled: 0.1815, pseudo_num: 1.4937, pseudo_num_ig: 5.6458, pseudo_num_mining: 1.0485, pseudo_num(acc): 0.8871, pseudo_num ig(acc): 0.4913, loss: 1.2545
2021-11-01 03:03:55,162 - mmdet - INFO - Iter [27150/40000]	lr: 2.000e-02, eta: 6:55:33, time: 1.695, data_time: 0.028, memory: 26484, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0483, loss_cls: 0.2063, acc: 92.8346, loss_bbox: 0.2484, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1871, acc_unlabeled: 92.3340, loss_bbox_unlabeled: 0.1864, losses_cls_ig_unlabeled: 0.1839, pseudo_num: 1.4936, pseudo_num_ig: 5.6458, pseudo_num_mining: 1.0491, pseudo_num(acc): 0.8871, pseudo_num ig(acc): 0.4913, loss: 1.2714
2021-11-01 03:05:21,485 - mmdet - INFO - Iter [27200/40000]	lr: 2.000e-02, eta: 6:53:51, time: 1.724, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0474, loss_cls: 0.2041, acc: 92.8290, loss_bbox: 0.2485, loss_rpn_cls_unlabeled: 0.0858, loss_rpn_bbox_unlabeled: 0.0912, loss_cls_unlabeled: 0.1857, acc_unlabeled: 92.4541, loss_bbox_unlabeled: 0.1825, losses_cls_ig_unlabeled: 0.1849, pseudo_num: 1.4934, pseudo_num_ig: 5.6461, pseudo_num_mining: 1.0498, pseudo_num(acc): 0.8871, pseudo_num ig(acc): 0.4914, loss: 1.2616
2021-11-01 03:06:46,764 - mmdet - INFO - Iter [27250/40000]	lr: 2.000e-02, eta: 6:52:09, time: 1.709, data_time: 0.031, memory: 26484, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0510, loss_cls: 0.2134, acc: 92.5631, loss_bbox: 0.2537, loss_rpn_cls_unlabeled: 0.0797, loss_rpn_bbox_unlabeled: 0.0899, loss_cls_unlabeled: 0.1917, acc_unlabeled: 92.4376, loss_bbox_unlabeled: 0.1843, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4932, pseudo_num_ig: 5.6462, pseudo_num_mining: 1.0504, pseudo_num(acc): 0.8872, pseudo_num ig(acc): 0.4914, loss: 1.2775
2021-11-01 03:08:10,095 - mmdet - INFO - Iter [27300/40000]	lr: 2.000e-02, eta: 6:50:25, time: 1.663, data_time: 0.026, memory: 26484, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0449, loss_cls: 0.1933, acc: 93.1962, loss_bbox: 0.2417, loss_rpn_cls_unlabeled: 0.0863, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1922, acc_unlabeled: 92.3983, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1827, pseudo_num: 1.4932, pseudo_num_ig: 5.6465, pseudo_num_mining: 1.0511, pseudo_num(acc): 0.8872, pseudo_num ig(acc): 0.4915, loss: 1.2493
2021-11-01 03:09:34,577 - mmdet - INFO - Iter [27350/40000]	lr: 2.000e-02, eta: 6:48:43, time: 1.691, data_time: 0.032, memory: 26484, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0506, loss_cls: 0.2127, acc: 92.4546, loss_bbox: 0.2629, loss_rpn_cls_unlabeled: 0.0863, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1930, acc_unlabeled: 92.4222, loss_bbox_unlabeled: 0.1890, losses_cls_ig_unlabeled: 0.1845, pseudo_num: 1.4931, pseudo_num_ig: 5.6469, pseudo_num_mining: 1.0518, pseudo_num(acc): 0.8872, pseudo_num ig(acc): 0.4915, loss: 1.3056
2021-11-01 03:10:59,654 - mmdet - INFO - Iter [27400/40000]	lr: 2.000e-02, eta: 6:47:00, time: 1.703, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0472, loss_cls: 0.2018, acc: 92.9282, loss_bbox: 0.2484, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1825, acc_unlabeled: 92.3855, loss_bbox_unlabeled: 0.1829, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4930, pseudo_num_ig: 5.6472, pseudo_num_mining: 1.0524, pseudo_num(acc): 0.8872, pseudo_num ig(acc): 0.4915, loss: 1.2544
2021-11-01 03:12:24,698 - mmdet - INFO - Iter [27450/40000]	lr: 2.000e-02, eta: 6:45:18, time: 1.700, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0474, loss_cls: 0.2006, acc: 92.9397, loss_bbox: 0.2449, loss_rpn_cls_unlabeled: 0.0866, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1908, acc_unlabeled: 92.6711, loss_bbox_unlabeled: 0.1907, losses_cls_ig_unlabeled: 0.1736, pseudo_num: 1.4930, pseudo_num_ig: 5.6474, pseudo_num_mining: 1.0529, pseudo_num(acc): 0.8872, pseudo_num ig(acc): 0.4916, loss: 1.2575
2021-11-01 03:13:48,590 - mmdet - INFO - pseudo pos: 0.98(51084.0-person) 0.94(1178.0-bicycle) 0.94(8576.0-car) 0.99(1550.0-motorcycle) 0.99(895.0-airplane) 1.00(1024.0-bus) 0.99(961.0-train) 0.78(2067.0-truck) 0.79(2154.0-boat) 0.93(2699.0-traffic light) 0.99(316.0-fire hydrant) 0.99(353.0-stop sign) 0.94(256.0-parking meter) 0.77(1972.0-bench) 0.93(1923.0-bird) 0.98(1029.0-cat) 0.98(993.0-dog) 0.99(1223.0-horse) 0.95(1961.0-sheep) 0.96(1463.0-cow) 1.00(950.0-elephant) 0.99(283.0-bear) 0.99(933.0-zebra) 0.99(980.0-giraffe) 0.62(1624.0-backpack) 0.85(2247.0-umbrella) 0.56(2093.0-handbag) 0.93(1003.0-tie) 0.83(1039.0-suitcase) 1.00(476.0-frisbee) 0.77(1234.0-skis) 0.81(477.0-snowboard) 0.98(1189.0-sports ball) 0.91(1637.0-kite) 0.92(611.0-baseball bat) 0.97(661.0-baseball glove) 0.99(1022.0-skateboard) 0.91(1328.0-surfboard) 0.99(775.0-tennis racket) 0.89(4191.0-bottle) 0.96(1432.0-wine glass) 0.90(4334.0-cup) 0.83(914.0-fork) 0.59(1531.0-knife) 0.56(1159.0-spoon) 0.84(3031.0-bowl) 0.70(1946.0-banana) 0.58(943.0-apple) 0.84(947.0-sandwich) 0.67(1426.0-orange) 0.71(1364.0-broccoli) 0.58(1523.0-carrot) 0.82(533.0-hot dog) 0.96(1137.0-pizza) 0.92(1428.0-donut) 0.90(1113.0-cake) 0.81(7356.0-chair) 0.86(1191.0-couch) 0.78(1770.0-potted plant) 0.96(833.0-bed) 0.74(3848.0-dining table) 0.96(666.0-toilet) 0.98(958.0-tv) 0.98(909.0-laptop) 0.98(403.0-mouse) 0.80(927.0-remote) 0.99(529.0-keyboard) 0.86(1299.0-cell phone) 0.99(276.0-microwave) 0.91(715.0-oven) 0.33(46.0-toaster) 0.85(1032.0-sink) 0.98(515.0-refrigerator) 0.37(3992.0-book) 0.99(1224.0-clock) 0.90(1391.0-vase) 0.78(281.0-scissors) 0.93(965.0-teddy bear) 0.00(0.0-hair drier) 0.56(319.0-toothbrush)
2021-11-01 03:13:48,591 - mmdet - INFO - pseudo ig: 0.65(187077.0-person) 0.45(4644.0-bicycle) 0.51(32911.0-car) 0.59(6360.0-motorcycle) 0.72(3310.0-airplane) 0.68(4042.0-bus) 0.63(3258.0-train) 0.35(7874.0-truck) 0.36(7883.0-boat) 0.40(10291.0-traffic light) 0.73(1334.0-fire hydrant) 0.65(1401.0-stop sign) 0.39(946.0-parking meter) 0.23(7168.0-bench) 0.35(7678.0-bird) 0.75(3410.0-cat) 0.68(3676.0-dog) 0.63(4444.0-horse) 0.53(7509.0-sheep) 0.54(6281.0-cow) 0.80(3965.0-elephant) 0.71(996.0-bear) 0.81(3621.0-zebra) 0.88(3349.0-giraffe) 0.24(6454.0-backpack) 0.43(8964.0-umbrella) 0.22(8894.0-handbag) 0.47(3861.0-tie) 0.41(3930.0-suitcase) 0.63(1827.0-frisbee) 0.36(4653.0-skis) 0.35(1878.0-snowboard) 0.41(4542.0-sports ball) 0.48(5867.0-kite) 0.42(2523.0-baseball bat) 0.48(2495.0-baseball glove) 0.61(3933.0-skateboard) 0.45(5002.0-surfboard) 0.69(3333.0-tennis racket) 0.44(16831.0-bottle) 0.46(5855.0-wine glass) 0.37(17385.0-cup) 0.30(3991.0-fork) 0.25(5615.0-knife) 0.21(5015.0-spoon) 0.38(11919.0-bowl) 0.28(8048.0-banana) 0.22(4202.0-apple) 0.36(3327.0-sandwich) 0.28(5229.0-orange) 0.39(5293.0-broccoli) 0.25(5713.0-carrot) 0.32(1868.0-hot dog) 0.56(4238.0-pizza) 0.43(4998.0-donut) 0.40(4388.0-cake) 0.32(28264.0-chair) 0.41(4635.0-couch) 0.38(6601.0-potted plant) 0.53(2856.0-bed) 0.37(11176.0-dining table) 0.73(2858.0-toilet) 0.63(4166.0-tv) 0.59(3780.0-laptop) 0.50(1636.0-mouse) 0.37(4173.0-remote) 0.49(2067.0-keyboard) 0.30(4775.0-cell phone) 0.60(1155.0-microwave) 0.38(2591.0-oven) 0.09(118.0-toaster) 0.47(4025.0-sink) 0.49(1888.0-refrigerator) 0.20(15728.0-book) 0.63(4266.0-clock) 0.39(5356.0-vase) 0.25(1106.0-scissors) 0.48(3746.0-teddy bear) 0.00(0.0-hair drier) 0.24(1232.0-toothbrush)
2021-11-01 03:13:48,591 - mmdet - INFO - pseudo gt: 240774.0 6626.0 40303.0 8323.0 4755.0 5781.0 4108.0 9125.0 9581.0 12009.0 1735.0 1864.0 1181.0 9401.0 9462.0 4321.0 5196.0 5793.0 9032.0 7460.0 5232.0 1240.0 4965.0 4677.0 8008.0 10598.0 11294.0 6069.0 5829.0 2455.0 6074.0 2545.0 5694.0 8277.0 2974.0 3497.0 5330.0 5428.0 4478.0 22511.0 7597.0 19072.0 5129.0 7407.0 5558.0 12935.0 8410.0 5111.0 4038.0 5649.0 6914.0 7128.0 2681.0 5436.0 6578.0 6037.0 35758.0 5450.0 8191.0 3911.0 14768.0 3899.0 5453.0 4621.0 2043.0 5223.0 2609.0 5871.0 1585.0 3047.0 193.0 5184.0 2560.0 22527.0 6033.0 6126.0 1271.0 4274.0 177.0 1712.0
2021-11-01 03:13:48,591 - mmdet - INFO - pseudo mining: 58204.0 256.0 6272.0 843.0 913.0 1347.0 702.0 105.0 311.0 1595.0 706.0 950.0 88.0 54.0 444.0 775.0 669.0 1130.0 1777.0 1235.0 2064.0 426.0 2157.0 2244.0 26.0 780.0 30.0 510.0 194.0 894.0 132.0 17.0 1659.0 1702.0 255.0 814.0 1033.0 334.0 1326.0 2116.0 657.0 2051.0 31.0 47.0 29.0 1056.0 143.0 29.0 109.0 86.0 427.0 127.0 21.0 924.0 1117.0 175.0 341.0 110.0 449.0 124.0 235.0 1539.0 1787.0 861.0 667.0 278.0 324.0 382.0 333.0 219.0 0.0 854.0 212.0 53.0 3022.0 559.0 10.0 390.0 0.0 16.0
2021-11-01 03:13:50,137 - mmdet - INFO - Iter [27500/40000]	lr: 2.000e-02, eta: 6:43:36, time: 1.708, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0484, loss_cls: 0.2029, acc: 92.8855, loss_bbox: 0.2460, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1930, acc_unlabeled: 92.2507, loss_bbox_unlabeled: 0.1890, losses_cls_ig_unlabeled: 0.1866, pseudo_num: 1.4930, pseudo_num_ig: 5.6477, pseudo_num_mining: 1.0535, pseudo_num(acc): 0.8873, pseudo_num ig(acc): 0.4916, loss: 1.2805
2021-11-01 03:15:15,382 - mmdet - INFO - Iter [27550/40000]	lr: 2.000e-02, eta: 6:41:54, time: 1.706, data_time: 0.027, memory: 26484, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0487, loss_cls: 0.2073, acc: 92.7318, loss_bbox: 0.2514, loss_rpn_cls_unlabeled: 0.0870, loss_rpn_bbox_unlabeled: 0.0881, loss_cls_unlabeled: 0.1891, acc_unlabeled: 92.4624, loss_bbox_unlabeled: 0.1864, losses_cls_ig_unlabeled: 0.1854, pseudo_num: 1.4929, pseudo_num_ig: 5.6476, pseudo_num_mining: 1.0540, pseudo_num(acc): 0.8873, pseudo_num ig(acc): 0.4916, loss: 1.2759
2021-11-01 03:16:41,669 - mmdet - INFO - Iter [27600/40000]	lr: 2.000e-02, eta: 6:40:12, time: 1.726, data_time: 0.029, memory: 26486, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0483, loss_cls: 0.2067, acc: 92.8223, loss_bbox: 0.2499, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0896, loss_cls_unlabeled: 0.1955, acc_unlabeled: 92.2809, loss_bbox_unlabeled: 0.1902, losses_cls_ig_unlabeled: 0.1825, pseudo_num: 1.4928, pseudo_num_ig: 5.6476, pseudo_num_mining: 1.0546, pseudo_num(acc): 0.8873, pseudo_num ig(acc): 0.4916, loss: 1.2789
2021-11-01 03:18:06,703 - mmdet - INFO - Iter [27650/40000]	lr: 2.000e-02, eta: 6:38:30, time: 1.698, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0472, loss_cls: 0.2063, acc: 92.7915, loss_bbox: 0.2497, loss_rpn_cls_unlabeled: 0.0822, loss_rpn_bbox_unlabeled: 0.0886, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.5942, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1861, pseudo_num: 1.4927, pseudo_num_ig: 5.6477, pseudo_num_mining: 1.0552, pseudo_num(acc): 0.8874, pseudo_num ig(acc): 0.4917, loss: 1.2677
2021-11-01 03:19:31,356 - mmdet - INFO - Iter [27700/40000]	lr: 2.000e-02, eta: 6:36:48, time: 1.695, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0464, loss_cls: 0.2027, acc: 92.8966, loss_bbox: 0.2434, loss_rpn_cls_unlabeled: 0.0947, loss_rpn_bbox_unlabeled: 0.0914, loss_cls_unlabeled: 0.1971, acc_unlabeled: 92.3707, loss_bbox_unlabeled: 0.1912, losses_cls_ig_unlabeled: 0.1870, pseudo_num: 1.4927, pseudo_num_ig: 5.6477, pseudo_num_mining: 1.0558, pseudo_num(acc): 0.8874, pseudo_num ig(acc): 0.4917, loss: 1.2858
2021-11-01 03:20:56,832 - mmdet - INFO - Iter [27750/40000]	lr: 2.000e-02, eta: 6:35:06, time: 1.703, data_time: 0.028, memory: 26486, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0476, loss_cls: 0.2054, acc: 92.8259, loss_bbox: 0.2467, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1890, acc_unlabeled: 92.5581, loss_bbox_unlabeled: 0.1799, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4926, pseudo_num_ig: 5.6478, pseudo_num_mining: 1.0563, pseudo_num(acc): 0.8874, pseudo_num ig(acc): 0.4917, loss: 1.2600
2021-11-01 03:22:23,079 - mmdet - INFO - Iter [27800/40000]	lr: 2.000e-02, eta: 6:33:25, time: 1.732, data_time: 0.036, memory: 26486, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0454, loss_cls: 0.2050, acc: 92.9137, loss_bbox: 0.2432, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0994, loss_cls_unlabeled: 0.1933, acc_unlabeled: 92.0634, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1946, pseudo_num: 1.4926, pseudo_num_ig: 5.6482, pseudo_num_mining: 1.0569, pseudo_num(acc): 0.8875, pseudo_num ig(acc): 0.4917, loss: 1.2898
2021-11-01 03:23:47,270 - mmdet - INFO - Iter [27850/40000]	lr: 2.000e-02, eta: 6:31:43, time: 1.682, data_time: 0.026, memory: 26486, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0478, loss_cls: 0.2077, acc: 92.7324, loss_bbox: 0.2508, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1872, acc_unlabeled: 92.2731, loss_bbox_unlabeled: 0.1812, losses_cls_ig_unlabeled: 0.1882, pseudo_num: 1.4926, pseudo_num_ig: 5.6485, pseudo_num_mining: 1.0574, pseudo_num(acc): 0.8875, pseudo_num ig(acc): 0.4917, loss: 1.2780
2021-11-01 03:25:12,632 - mmdet - INFO - Iter [27900/40000]	lr: 2.000e-02, eta: 6:30:01, time: 1.706, data_time: 0.029, memory: 26486, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0472, loss_cls: 0.2035, acc: 92.8820, loss_bbox: 0.2445, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1905, acc_unlabeled: 92.4625, loss_bbox_unlabeled: 0.1832, losses_cls_ig_unlabeled: 0.1865, pseudo_num: 1.4926, pseudo_num_ig: 5.6487, pseudo_num_mining: 1.0579, pseudo_num(acc): 0.8875, pseudo_num ig(acc): 0.4917, loss: 1.2686
2021-11-01 03:26:35,551 - mmdet - INFO - Iter [27950/40000]	lr: 2.000e-02, eta: 6:28:18, time: 1.661, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0469, loss_cls: 0.2015, acc: 92.9711, loss_bbox: 0.2448, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1759, acc_unlabeled: 92.7825, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1760, pseudo_num: 1.4925, pseudo_num_ig: 5.6488, pseudo_num_mining: 1.0585, pseudo_num(acc): 0.8876, pseudo_num ig(acc): 0.4917, loss: 1.2278
2021-11-01 03:28:00,633 - mmdet - INFO - pseudo pos: 0.98(52061.0-person) 0.94(1195.0-bicycle) 0.94(8720.0-car) 0.99(1572.0-motorcycle) 0.99(924.0-airplane) 1.00(1042.0-bus) 0.99(985.0-train) 0.78(2115.0-truck) 0.79(2196.0-boat) 0.92(2757.0-traffic light) 0.99(317.0-fire hydrant) 0.99(356.0-stop sign) 0.94(259.0-parking meter) 0.77(2002.0-bench) 0.93(1944.0-bird) 0.98(1042.0-cat) 0.98(1013.0-dog) 0.99(1246.0-horse) 0.95(1993.0-sheep) 0.96(1493.0-cow) 1.00(967.0-elephant) 0.99(289.0-bear) 0.99(944.0-zebra) 0.99(995.0-giraffe) 0.62(1641.0-backpack) 0.85(2286.0-umbrella) 0.56(2130.0-handbag) 0.93(1015.0-tie) 0.83(1050.0-suitcase) 0.99(487.0-frisbee) 0.77(1257.0-skis) 0.81(481.0-snowboard) 0.98(1225.0-sports ball) 0.91(1658.0-kite) 0.92(625.0-baseball bat) 0.97(665.0-baseball glove) 0.99(1042.0-skateboard) 0.91(1354.0-surfboard) 0.99(791.0-tennis racket) 0.89(4259.0-bottle) 0.95(1452.0-wine glass) 0.90(4391.0-cup) 0.83(930.0-fork) 0.59(1561.0-knife) 0.56(1176.0-spoon) 0.84(3089.0-bowl) 0.71(1973.0-banana) 0.57(979.0-apple) 0.84(958.0-sandwich) 0.68(1455.0-orange) 0.71(1381.0-broccoli) 0.59(1545.0-carrot) 0.83(543.0-hot dog) 0.96(1169.0-pizza) 0.92(1458.0-donut) 0.89(1153.0-cake) 0.82(7493.0-chair) 0.85(1212.0-couch) 0.78(1803.0-potted plant) 0.96(851.0-bed) 0.75(3916.0-dining table) 0.96(681.0-toilet) 0.98(970.0-tv) 0.98(924.0-laptop) 0.98(413.0-mouse) 0.80(947.0-remote) 0.99(539.0-keyboard) 0.86(1312.0-cell phone) 0.99(279.0-microwave) 0.91(728.0-oven) 0.33(46.0-toaster) 0.86(1051.0-sink) 0.98(521.0-refrigerator) 0.37(4037.0-book) 0.99(1250.0-clock) 0.90(1419.0-vase) 0.78(290.0-scissors) 0.93(979.0-teddy bear) 0.00(0.0-hair drier) 0.56(326.0-toothbrush)
2021-11-01 03:28:00,634 - mmdet - INFO - pseudo ig: 0.65(190342.0-person) 0.45(4722.0-bicycle) 0.51(33492.0-car) 0.59(6481.0-motorcycle) 0.72(3377.0-airplane) 0.68(4131.0-bus) 0.63(3346.0-train) 0.35(8053.0-truck) 0.36(8057.0-boat) 0.40(10455.0-traffic light) 0.74(1360.0-fire hydrant) 0.65(1424.0-stop sign) 0.38(974.0-parking meter) 0.23(7313.0-bench) 0.35(7791.0-bird) 0.75(3465.0-cat) 0.68(3742.0-dog) 0.63(4526.0-horse) 0.53(7616.0-sheep) 0.54(6447.0-cow) 0.80(4030.0-elephant) 0.70(1029.0-bear) 0.81(3668.0-zebra) 0.88(3404.0-giraffe) 0.24(6558.0-backpack) 0.43(9083.0-umbrella) 0.22(9059.0-handbag) 0.47(3942.0-tie) 0.41(3966.0-suitcase) 0.62(1863.0-frisbee) 0.36(4726.0-skis) 0.35(1935.0-snowboard) 0.41(4662.0-sports ball) 0.48(5961.0-kite) 0.42(2569.0-baseball bat) 0.48(2546.0-baseball glove) 0.61(4010.0-skateboard) 0.46(5094.0-surfboard) 0.69(3397.0-tennis racket) 0.44(17113.0-bottle) 0.47(5957.0-wine glass) 0.37(17693.0-cup) 0.30(4067.0-fork) 0.25(5732.0-knife) 0.21(5092.0-spoon) 0.38(12139.0-bowl) 0.28(8165.0-banana) 0.22(4312.0-apple) 0.36(3391.0-sandwich) 0.28(5285.0-orange) 0.39(5374.0-broccoli) 0.26(5827.0-carrot) 0.33(1912.0-hot dog) 0.56(4314.0-pizza) 0.44(5086.0-donut) 0.40(4461.0-cake) 0.32(28762.0-chair) 0.41(4715.0-couch) 0.38(6732.0-potted plant) 0.53(2914.0-bed) 0.37(11393.0-dining table) 0.73(2903.0-toilet) 0.63(4249.0-tv) 0.59(3830.0-laptop) 0.51(1651.0-mouse) 0.37(4259.0-remote) 0.49(2096.0-keyboard) 0.30(4848.0-cell phone) 0.60(1169.0-microwave) 0.38(2620.0-oven) 0.09(121.0-toaster) 0.47(4109.0-sink) 0.49(1907.0-refrigerator) 0.20(15981.0-book) 0.63(4340.0-clock) 0.39(5461.0-vase) 0.25(1131.0-scissors) 0.48(3788.0-teddy bear) 0.00(0.0-hair drier) 0.24(1255.0-toothbrush)
2021-11-01 03:28:00,634 - mmdet - INFO - pseudo gt: 244994.0 6756.0 41054.0 8501.0 4841.0 5901.0 4212.0 9302.0 9738.0 12191.0 1768.0 1898.0 1206.0 9552.0 9563.0 4394.0 5288.0 5899.0 9179.0 7629.0 5350.0 1268.0 5035.0 4741.0 8148.0 10743.0 11527.0 6182.0 5927.0 2489.0 6163.0 2586.0 5803.0 8395.0 3034.0 3571.0 5407.0 5531.0 4557.0 22905.0 7725.0 19386.0 5214.0 7552.0 5671.0 13160.0 8563.0 5214.0 4108.0 5730.0 7033.0 7263.0 2747.0 5539.0 6744.0 6150.0 36376.0 5543.0 8364.0 3987.0 15071.0 3963.0 5555.0 4685.0 2072.0 5320.0 2648.0 5965.0 1607.0 3087.0 195.0 5280.0 2578.0 22899.0 6146.0 6231.0 1287.0 4316.0 179.0 1738.0
2021-11-01 03:28:00,634 - mmdet - INFO - pseudo mining: 59468.0 262.0 6432.0 869.0 935.0 1391.0 726.0 108.0 319.0 1626.0 727.0 972.0 93.0 54.0 451.0 798.0 681.0 1159.0 1807.0 1283.0 2109.0 439.0 2190.0 2281.0 28.0 786.0 33.0 525.0 200.0 909.0 132.0 20.0 1698.0 1739.0 261.0 839.0 1054.0 342.0 1357.0 2174.0 673.0 2114.0 31.0 51.0 30.0 1086.0 148.0 31.0 110.0 87.0 436.0 129.0 24.0 954.0 1162.0 180.0 356.0 114.0 464.0 130.0 242.0 1568.0 1832.0 877.0 676.0 287.0 330.0 388.0 339.0 224.0 0.0 882.0 214.0 54.0 3080.0 566.0 10.0 395.0 0.0 16.0
2021-11-01 03:28:58,427 - mmdet - INFO - Evaluating bbox...
2021-11-01 03:30:11,081 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.458 | bicycle      | 0.203 | car            | 0.373 |
| motorcycle    | 0.314 | airplane     | 0.483 | bus            | 0.551 |
| train         | 0.505 | truck        | 0.221 | boat           | 0.195 |
| traffic light | 0.236 | fire hydrant | 0.542 | stop sign      | 0.588 |
| parking meter | 0.401 | bench        | 0.160 | bird           | 0.259 |
| cat           | 0.498 | dog          | 0.453 | horse          | 0.437 |
| sheep         | 0.386 | cow          | 0.431 | elephant       | 0.505 |
| bear          | 0.523 | zebra        | 0.537 | giraffe        | 0.565 |
| backpack      | 0.108 | umbrella     | 0.258 | handbag        | 0.083 |
| tie           | 0.212 | suitcase     | 0.195 | frisbee        | 0.537 |
| skis          | 0.154 | snowboard    | 0.234 | sports ball    | 0.381 |
| kite          | 0.320 | baseball bat | 0.189 | baseball glove | 0.284 |
| skateboard    | 0.364 | surfboard    | 0.255 | tennis racket  | 0.329 |
| bottle        | 0.303 | wine glass   | 0.270 | cup            | 0.314 |
| fork          | 0.185 | knife        | 0.071 | spoon          | 0.076 |
| bowl          | 0.336 | banana       | 0.151 | apple          | 0.120 |
| sandwich      | 0.232 | orange       | 0.218 | broccoli       | 0.176 |
| carrot        | 0.106 | hot dog      | 0.150 | pizza          | 0.384 |
| donut         | 0.279 | cake         | 0.246 | chair          | 0.169 |
| couch         | 0.321 | potted plant | 0.174 | bed            | 0.330 |
| dining table  | 0.182 | toilet       | 0.457 | tv             | 0.463 |
| laptop        | 0.452 | mouse        | 0.509 | remote         | 0.173 |
| keyboard      | 0.350 | cell phone   | 0.256 | microwave      | 0.438 |
| oven          | 0.226 | toaster      | 0.196 | sink           | 0.272 |
| refrigerator  | 0.361 | book         | 0.070 | clock          | 0.429 |
| vase          | 0.306 | scissors     | 0.223 | teddy bear     | 0.334 |
| hair drier    | 0.017 | toothbrush   | 0.121 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 03:31:07,521 - mmdet - INFO - Evaluating bbox...
2021-11-01 03:32:18,932 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.484 | bicycle      | 0.239 | car            | 0.392 |
| motorcycle    | 0.366 | airplane     | 0.553 | bus            | 0.576 |
| train         | 0.539 | truck        | 0.264 | boat           | 0.220 |
| traffic light | 0.251 | fire hydrant | 0.571 | stop sign      | 0.589 |
| parking meter | 0.419 | bench        | 0.187 | bird           | 0.280 |
| cat           | 0.544 | dog          | 0.512 | horse          | 0.507 |
| sheep         | 0.413 | cow          | 0.492 | elephant       | 0.550 |
| bear          | 0.592 | zebra        | 0.572 | giraffe        | 0.614 |
| backpack      | 0.114 | umbrella     | 0.302 | handbag        | 0.095 |
| tie           | 0.238 | suitcase     | 0.247 | frisbee        | 0.568 |
| skis          | 0.169 | snowboard    | 0.228 | sports ball    | 0.403 |
| kite          | 0.338 | baseball bat | 0.224 | baseball glove | 0.315 |
| skateboard    | 0.412 | surfboard    | 0.289 | tennis racket  | 0.383 |
| bottle        | 0.333 | wine glass   | 0.294 | cup            | 0.347 |
| fork          | 0.232 | knife        | 0.124 | spoon          | 0.101 |
| bowl          | 0.376 | banana       | 0.172 | apple          | 0.134 |
| sandwich      | 0.270 | orange       | 0.269 | broccoli       | 0.193 |
| carrot        | 0.128 | hot dog      | 0.204 | pizza          | 0.426 |
| donut         | 0.348 | cake         | 0.269 | chair          | 0.202 |
| couch         | 0.346 | potted plant | 0.198 | bed            | 0.336 |
| dining table  | 0.199 | toilet       | 0.510 | tv             | 0.503 |
| laptop        | 0.517 | mouse        | 0.552 | remote         | 0.209 |
| keyboard      | 0.428 | cell phone   | 0.296 | microwave      | 0.481 |
| oven          | 0.265 | toaster      | 0.333 | sink           | 0.292 |
| refrigerator  | 0.427 | book         | 0.068 | clock          | 0.444 |
| vase          | 0.332 | scissors     | 0.220 | teddy bear     | 0.367 |
| hair drier    | 0.007 | toothbrush   | 0.143 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 03:33:48,303 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 03:33:48,314 - mmdet - INFO - Iter [28000/40000]	lr: 2.000e-02, eta: 6:26:37, time: 1.731, data_time: 0.028, memory: 26486, bbox_mAP: 0.3370, bbox_mAP_50: 0.5420, bbox_mAP_75: 0.3610, bbox_mAP_s: 0.1990, bbox_mAP_m: 0.3680, bbox_mAP_l: 0.4370, bbox_mAP_copypaste: 0.337 0.542 0.361 0.199 0.368 0.437, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0439, loss_cls: 0.1998, acc: 93.0411, loss_bbox: 0.2419, loss_rpn_cls_unlabeled: 0.0831, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.5322, loss_bbox_unlabeled: 0.1844, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4924, pseudo_num_ig: 5.6486, pseudo_num_mining: 1.0589, pseudo_num(acc): 0.8876, pseudo_num ig(acc): 0.4918, loss: 1.2449
2021-11-01 03:35:14,226 - mmdet - INFO - Iter [28050/40000]	lr: 2.000e-02, eta: 6:27:24, time: 8.643, data_time: 6.952, memory: 26486, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0500, loss_cls: 0.2074, acc: 92.7355, loss_bbox: 0.2552, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1822, acc_unlabeled: 92.5747, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1763, pseudo_num: 1.4924, pseudo_num_ig: 5.6487, pseudo_num_mining: 1.0594, pseudo_num(acc): 0.8876, pseudo_num ig(acc): 0.4918, loss: 1.2681
2021-11-01 03:36:40,068 - mmdet - INFO - Iter [28100/40000]	lr: 2.000e-02, eta: 6:25:41, time: 1.714, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0471, loss_cls: 0.1981, acc: 93.0773, loss_bbox: 0.2430, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1881, acc_unlabeled: 92.4094, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1738, pseudo_num: 1.4924, pseudo_num_ig: 5.6488, pseudo_num_mining: 1.0599, pseudo_num(acc): 0.8876, pseudo_num ig(acc): 0.4918, loss: 1.2479
2021-11-01 03:38:06,445 - mmdet - INFO - Iter [28150/40000]	lr: 2.000e-02, eta: 6:24:00, time: 1.727, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0451, loss_cls: 0.2032, acc: 92.8037, loss_bbox: 0.2461, loss_rpn_cls_unlabeled: 0.0860, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1813, acc_unlabeled: 92.6304, loss_bbox_unlabeled: 0.1821, losses_cls_ig_unlabeled: 0.1766, pseudo_num: 1.4924, pseudo_num_ig: 5.6493, pseudo_num_mining: 1.0605, pseudo_num(acc): 0.8876, pseudo_num ig(acc): 0.4918, loss: 1.2421
2021-11-01 03:39:32,754 - mmdet - INFO - Iter [28200/40000]	lr: 2.000e-02, eta: 6:22:18, time: 1.726, data_time: 0.032, memory: 26486, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0464, loss_cls: 0.1999, acc: 93.0203, loss_bbox: 0.2436, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1821, acc_unlabeled: 92.4624, loss_bbox_unlabeled: 0.1800, losses_cls_ig_unlabeled: 0.1804, pseudo_num: 1.4923, pseudo_num_ig: 5.6493, pseudo_num_mining: 1.0609, pseudo_num(acc): 0.8876, pseudo_num ig(acc): 0.4918, loss: 1.2418
2021-11-01 03:40:58,420 - mmdet - INFO - Iter [28250/40000]	lr: 2.000e-02, eta: 6:20:36, time: 1.715, data_time: 0.031, memory: 26486, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0473, loss_cls: 0.2052, acc: 92.8088, loss_bbox: 0.2479, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.1000, loss_cls_unlabeled: 0.1880, acc_unlabeled: 92.3336, loss_bbox_unlabeled: 0.1870, losses_cls_ig_unlabeled: 0.1832, pseudo_num: 1.4923, pseudo_num_ig: 5.6496, pseudo_num_mining: 1.0614, pseudo_num(acc): 0.8877, pseudo_num ig(acc): 0.4918, loss: 1.2830
2021-11-01 03:42:23,868 - mmdet - INFO - Iter [28300/40000]	lr: 2.000e-02, eta: 6:18:54, time: 1.711, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0453, loss_cls: 0.1956, acc: 93.1141, loss_bbox: 0.2383, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1827, acc_unlabeled: 92.5551, loss_bbox_unlabeled: 0.1793, losses_cls_ig_unlabeled: 0.1815, pseudo_num: 1.4922, pseudo_num_ig: 5.6501, pseudo_num_mining: 1.0620, pseudo_num(acc): 0.8877, pseudo_num ig(acc): 0.4918, loss: 1.2278
2021-11-01 03:43:47,956 - mmdet - INFO - Iter [28350/40000]	lr: 2.000e-02, eta: 6:17:11, time: 1.682, data_time: 0.026, memory: 26486, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0470, loss_cls: 0.2030, acc: 92.8333, loss_bbox: 0.2498, loss_rpn_cls_unlabeled: 0.0825, loss_rpn_bbox_unlabeled: 0.0962, loss_cls_unlabeled: 0.1849, acc_unlabeled: 92.3445, loss_bbox_unlabeled: 0.1829, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4921, pseudo_num_ig: 5.6502, pseudo_num_mining: 1.0625, pseudo_num(acc): 0.8877, pseudo_num ig(acc): 0.4918, loss: 1.2606
2021-11-01 03:45:12,640 - mmdet - INFO - Iter [28400/40000]	lr: 2.000e-02, eta: 6:15:29, time: 1.689, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0472, loss_cls: 0.2050, acc: 92.8583, loss_bbox: 0.2493, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1889, acc_unlabeled: 92.3108, loss_bbox_unlabeled: 0.1842, losses_cls_ig_unlabeled: 0.1895, pseudo_num: 1.4921, pseudo_num_ig: 5.6506, pseudo_num_mining: 1.0630, pseudo_num(acc): 0.8877, pseudo_num ig(acc): 0.4918, loss: 1.2740
2021-11-01 03:46:38,911 - mmdet - INFO - Iter [28450/40000]	lr: 2.000e-02, eta: 6:13:48, time: 1.730, data_time: 0.032, memory: 26486, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0485, loss_cls: 0.2048, acc: 92.8021, loss_bbox: 0.2527, loss_rpn_cls_unlabeled: 0.0955, loss_rpn_bbox_unlabeled: 0.0983, loss_cls_unlabeled: 0.1910, acc_unlabeled: 92.1422, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1922, pseudo_num: 1.4922, pseudo_num_ig: 5.6512, pseudo_num_mining: 1.0635, pseudo_num(acc): 0.8877, pseudo_num ig(acc): 0.4919, loss: 1.2981
2021-11-01 03:48:02,305 - mmdet - INFO - pseudo pos: 0.98(53033.0-person) 0.94(1216.0-bicycle) 0.94(8815.0-car) 0.98(1595.0-motorcycle) 0.99(947.0-airplane) 1.00(1053.0-bus) 0.99(1009.0-train) 0.78(2153.0-truck) 0.79(2214.0-boat) 0.92(2815.0-traffic light) 0.99(325.0-fire hydrant) 0.99(361.0-stop sign) 0.94(262.0-parking meter) 0.77(2031.0-bench) 0.93(1990.0-bird) 0.98(1064.0-cat) 0.98(1032.0-dog) 0.99(1259.0-horse) 0.95(2027.0-sheep) 0.96(1537.0-cow) 1.00(986.0-elephant) 0.99(294.0-bear) 0.99(957.0-zebra) 0.99(1013.0-giraffe) 0.62(1679.0-backpack) 0.86(2333.0-umbrella) 0.56(2165.0-handbag) 0.94(1031.0-tie) 0.83(1067.0-suitcase) 0.99(496.0-frisbee) 0.77(1279.0-skis) 0.82(488.0-snowboard) 0.98(1255.0-sports ball) 0.91(1686.0-kite) 0.92(632.0-baseball bat) 0.97(676.0-baseball glove) 0.99(1063.0-skateboard) 0.91(1379.0-surfboard) 0.99(803.0-tennis racket) 0.89(4329.0-bottle) 0.95(1472.0-wine glass) 0.90(4465.0-cup) 0.83(948.0-fork) 0.59(1579.0-knife) 0.56(1206.0-spoon) 0.84(3146.0-bowl) 0.70(2002.0-banana) 0.57(989.0-apple) 0.84(978.0-sandwich) 0.68(1472.0-orange) 0.71(1407.0-broccoli) 0.59(1583.0-carrot) 0.83(555.0-hot dog) 0.96(1187.0-pizza) 0.92(1479.0-donut) 0.89(1175.0-cake) 0.82(7620.0-chair) 0.86(1226.0-couch) 0.78(1833.0-potted plant) 0.96(869.0-bed) 0.75(3984.0-dining table) 0.96(692.0-toilet) 0.98(999.0-tv) 0.98(953.0-laptop) 0.98(423.0-mouse) 0.80(958.0-remote) 0.99(546.0-keyboard) 0.85(1336.0-cell phone) 0.99(282.0-microwave) 0.91(739.0-oven) 0.33(46.0-toaster) 0.86(1068.0-sink) 0.98(532.0-refrigerator) 0.37(4097.0-book) 0.99(1282.0-clock) 0.90(1449.0-vase) 0.77(300.0-scissors) 0.93(997.0-teddy bear) 0.00(0.0-hair drier) 0.57(338.0-toothbrush)
2021-11-01 03:48:02,306 - mmdet - INFO - pseudo ig: 0.65(193943.0-person) 0.46(4845.0-bicycle) 0.51(34177.0-car) 0.59(6573.0-motorcycle) 0.72(3461.0-airplane) 0.68(4199.0-bus) 0.63(3400.0-train) 0.36(8224.0-truck) 0.36(8148.0-boat) 0.40(10615.0-traffic light) 0.74(1395.0-fire hydrant) 0.65(1452.0-stop sign) 0.38(1006.0-parking meter) 0.23(7428.0-bench) 0.35(7977.0-bird) 0.75(3522.0-cat) 0.68(3810.0-dog) 0.63(4613.0-horse) 0.53(7719.0-sheep) 0.54(6578.0-cow) 0.80(4088.0-elephant) 0.70(1048.0-bear) 0.81(3731.0-zebra) 0.88(3483.0-giraffe) 0.24(6709.0-backpack) 0.43(9243.0-umbrella) 0.22(9263.0-handbag) 0.47(3994.0-tie) 0.41(4054.0-suitcase) 0.62(1896.0-frisbee) 0.36(4801.0-skis) 0.36(1952.0-snowboard) 0.41(4735.0-sports ball) 0.48(6072.0-kite) 0.42(2616.0-baseball bat) 0.48(2586.0-baseball glove) 0.60(4083.0-skateboard) 0.46(5208.0-surfboard) 0.69(3453.0-tennis racket) 0.44(17429.0-bottle) 0.46(6065.0-wine glass) 0.37(18013.0-cup) 0.30(4156.0-fork) 0.25(5824.0-knife) 0.21(5192.0-spoon) 0.38(12442.0-bowl) 0.28(8295.0-banana) 0.22(4419.0-apple) 0.36(3457.0-sandwich) 0.28(5426.0-orange) 0.39(5498.0-broccoli) 0.26(5969.0-carrot) 0.33(1958.0-hot dog) 0.56(4391.0-pizza) 0.44(5246.0-donut) 0.39(4551.0-cake) 0.32(29262.0-chair) 0.42(4763.0-couch) 0.38(6842.0-potted plant) 0.53(2967.0-bed) 0.37(11581.0-dining table) 0.73(2955.0-toilet) 0.63(4301.0-tv) 0.59(3911.0-laptop) 0.51(1693.0-mouse) 0.37(4322.0-remote) 0.49(2140.0-keyboard) 0.30(4905.0-cell phone) 0.60(1186.0-microwave) 0.38(2666.0-oven) 0.09(125.0-toaster) 0.47(4175.0-sink) 0.49(1936.0-refrigerator) 0.20(16328.0-book) 0.63(4404.0-clock) 0.39(5547.0-vase) 0.25(1159.0-scissors) 0.48(3895.0-teddy bear) 0.00(0.0-hair drier) 0.24(1279.0-toothbrush)
2021-11-01 03:48:02,306 - mmdet - INFO - pseudo gt: 249528.0 6930.0 41723.0 8613.0 4965.0 5983.0 4284.0 9519.0 9868.0 12378.0 1810.0 1937.0 1232.0 9736.0 9797.0 4474.0 5378.0 5997.0 9304.0 7811.0 5434.0 1290.0 5115.0 4843.0 8329.0 10923.0 11726.0 6275.0 6078.0 2538.0 6266.0 2636.0 5939.0 8573.0 3105.0 3643.0 5490.0 5670.0 4641.0 23300.0 7827.0 19718.0 5293.0 7659.0 5799.0 13429.0 8728.0 5335.0 4191.0 5854.0 7138.0 7427.0 2797.0 5628.0 6910.0 6250.0 37014.0 5632.0 8485.0 4049.0 15309.0 4039.0 5657.0 4788.0 2114.0 5423.0 2698.0 6056.0 1626.0 3144.0 199.0 5363.0 2624.0 23361.0 6242.0 6320.0 1330.0 4397.0 187.0 1775.0
2021-11-01 03:48:02,306 - mmdet - INFO - pseudo mining: 60826.0 279.0 6581.0 886.0 958.0 1408.0 742.0 115.0 325.0 1638.0 747.0 991.0 99.0 54.0 466.0 816.0 706.0 1199.0 1820.0 1320.0 2153.0 450.0 2232.0 2336.0 29.0 799.0 34.0 538.0 211.0 930.0 136.0 21.0 1737.0 1768.0 272.0 857.0 1074.0 355.0 1380.0 2217.0 686.0 2162.0 31.0 51.0 31.0 1124.0 151.0 32.0 114.0 93.0 445.0 135.0 26.0 964.0 1225.0 182.0 367.0 115.0 473.0 134.0 247.0 1612.0 1860.0 897.0 694.0 293.0 338.0 397.0 346.0 228.0 0.0 904.0 221.0 58.0 3129.0 578.0 13.0 407.0 0.0 16.0
2021-11-01 03:48:03,799 - mmdet - INFO - Iter [28500/40000]	lr: 2.000e-02, eta: 6:12:06, time: 1.696, data_time: 0.028, memory: 26486, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0496, loss_cls: 0.2053, acc: 92.8048, loss_bbox: 0.2498, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1826, acc_unlabeled: 92.5365, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.4921, pseudo_num_ig: 5.6516, pseudo_num_mining: 1.0640, pseudo_num(acc): 0.8877, pseudo_num ig(acc): 0.4919, loss: 1.2583
2021-11-01 03:49:29,917 - mmdet - INFO - Iter [28550/40000]	lr: 2.000e-02, eta: 6:10:24, time: 1.719, data_time: 0.029, memory: 26486, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0461, loss_cls: 0.1964, acc: 93.1520, loss_bbox: 0.2419, loss_rpn_cls_unlabeled: 0.0902, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1873, acc_unlabeled: 92.5165, loss_bbox_unlabeled: 0.1864, losses_cls_ig_unlabeled: 0.1828, pseudo_num: 1.4921, pseudo_num_ig: 5.6518, pseudo_num_mining: 1.0645, pseudo_num(acc): 0.8877, pseudo_num ig(acc): 0.4919, loss: 1.2562
2021-11-01 03:50:55,942 - mmdet - INFO - Iter [28600/40000]	lr: 2.000e-02, eta: 6:08:43, time: 1.719, data_time: 0.031, memory: 26486, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0487, loss_cls: 0.2117, acc: 92.5549, loss_bbox: 0.2585, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1841, acc_unlabeled: 92.5458, loss_bbox_unlabeled: 0.1793, losses_cls_ig_unlabeled: 0.1811, pseudo_num: 1.4920, pseudo_num_ig: 5.6521, pseudo_num_mining: 1.0650, pseudo_num(acc): 0.8878, pseudo_num ig(acc): 0.4919, loss: 1.2730
2021-11-01 03:52:19,467 - mmdet - INFO - Iter [28650/40000]	lr: 2.000e-02, eta: 6:07:00, time: 1.675, data_time: 0.037, memory: 26486, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0482, loss_cls: 0.2036, acc: 92.8214, loss_bbox: 0.2465, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1865, acc_unlabeled: 92.3057, loss_bbox_unlabeled: 0.1894, losses_cls_ig_unlabeled: 0.1833, pseudo_num: 1.4919, pseudo_num_ig: 5.6523, pseudo_num_mining: 1.0655, pseudo_num(acc): 0.8878, pseudo_num ig(acc): 0.4920, loss: 1.2709
2021-11-01 03:53:45,508 - mmdet - INFO - Iter [28700/40000]	lr: 2.000e-02, eta: 6:05:19, time: 1.722, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0492, loss_cls: 0.2047, acc: 92.7429, loss_bbox: 0.2531, loss_rpn_cls_unlabeled: 0.0814, loss_rpn_bbox_unlabeled: 0.0899, loss_cls_unlabeled: 0.1800, acc_unlabeled: 92.5577, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1784, pseudo_num: 1.4918, pseudo_num_ig: 5.6523, pseudo_num_mining: 1.0660, pseudo_num(acc): 0.8878, pseudo_num ig(acc): 0.4920, loss: 1.2519
2021-11-01 03:55:09,968 - mmdet - INFO - Iter [28750/40000]	lr: 2.000e-02, eta: 6:03:37, time: 1.688, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0488, loss_cls: 0.2111, acc: 92.6180, loss_bbox: 0.2521, loss_rpn_cls_unlabeled: 0.0888, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1905, acc_unlabeled: 92.2739, loss_bbox_unlabeled: 0.1902, losses_cls_ig_unlabeled: 0.1881, pseudo_num: 1.4917, pseudo_num_ig: 5.6526, pseudo_num_mining: 1.0666, pseudo_num(acc): 0.8878, pseudo_num ig(acc): 0.4920, loss: 1.2943
2021-11-01 03:56:36,436 - mmdet - INFO - Iter [28800/40000]	lr: 2.000e-02, eta: 6:01:56, time: 1.730, data_time: 0.028, memory: 26486, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0469, loss_cls: 0.2042, acc: 92.7793, loss_bbox: 0.2519, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1872, acc_unlabeled: 92.5128, loss_bbox_unlabeled: 0.1854, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4916, pseudo_num_ig: 5.6532, pseudo_num_mining: 1.0673, pseudo_num(acc): 0.8879, pseudo_num ig(acc): 0.4920, loss: 1.2697
2021-11-01 03:58:01,266 - mmdet - INFO - Iter [28850/40000]	lr: 2.000e-02, eta: 6:00:14, time: 1.698, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0474, loss_cls: 0.2017, acc: 92.9402, loss_bbox: 0.2445, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1923, acc_unlabeled: 92.2063, loss_bbox_unlabeled: 0.1883, losses_cls_ig_unlabeled: 0.1857, pseudo_num: 1.4915, pseudo_num_ig: 5.6540, pseudo_num_mining: 1.0681, pseudo_num(acc): 0.8879, pseudo_num ig(acc): 0.4921, loss: 1.2744
2021-11-01 03:59:27,504 - mmdet - INFO - Iter [28900/40000]	lr: 2.000e-02, eta: 5:58:33, time: 1.722, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0464, loss_cls: 0.1960, acc: 93.1023, loss_bbox: 0.2421, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1848, acc_unlabeled: 92.4492, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1830, pseudo_num: 1.4914, pseudo_num_ig: 5.6544, pseudo_num_mining: 1.0687, pseudo_num(acc): 0.8879, pseudo_num ig(acc): 0.4921, loss: 1.2474
2021-11-01 04:00:52,132 - mmdet - INFO - Iter [28950/40000]	lr: 2.000e-02, eta: 5:56:52, time: 1.691, data_time: 0.031, memory: 26486, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0464, loss_cls: 0.1997, acc: 92.9471, loss_bbox: 0.2462, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1835, acc_unlabeled: 92.6680, loss_bbox_unlabeled: 0.1815, losses_cls_ig_unlabeled: 0.1749, pseudo_num: 1.4913, pseudo_num_ig: 5.6544, pseudo_num_mining: 1.0691, pseudo_num(acc): 0.8879, pseudo_num ig(acc): 0.4921, loss: 1.2361
2021-11-01 04:02:14,741 - mmdet - INFO - pseudo pos: 0.98(53865.0-person) 0.94(1239.0-bicycle) 0.94(8935.0-car) 0.99(1626.0-motorcycle) 0.99(977.0-airplane) 1.00(1074.0-bus) 0.99(1030.0-train) 0.78(2195.0-truck) 0.78(2243.0-boat) 0.92(2886.0-traffic light) 0.99(328.0-fire hydrant) 0.99(368.0-stop sign) 0.94(264.0-parking meter) 0.77(2065.0-bench) 0.93(2038.0-bird) 0.98(1086.0-cat) 0.98(1052.0-dog) 0.99(1274.0-horse) 0.95(2071.0-sheep) 0.95(1578.0-cow) 1.00(1006.0-elephant) 0.99(303.0-bear) 0.99(970.0-zebra) 0.99(1037.0-giraffe) 0.61(1712.0-backpack) 0.86(2372.0-umbrella) 0.57(2222.0-handbag) 0.93(1050.0-tie) 0.83(1085.0-suitcase) 0.99(508.0-frisbee) 0.77(1300.0-skis) 0.82(492.0-snowboard) 0.98(1276.0-sports ball) 0.91(1718.0-kite) 0.91(642.0-baseball bat) 0.97(688.0-baseball glove) 0.99(1079.0-skateboard) 0.91(1404.0-surfboard) 0.99(825.0-tennis racket) 0.89(4402.0-bottle) 0.95(1498.0-wine glass) 0.90(4529.0-cup) 0.84(968.0-fork) 0.60(1606.0-knife) 0.56(1223.0-spoon) 0.84(3208.0-bowl) 0.71(2029.0-banana) 0.57(998.0-apple) 0.84(995.0-sandwich) 0.67(1487.0-orange) 0.71(1462.0-broccoli) 0.59(1596.0-carrot) 0.83(568.0-hot dog) 0.96(1208.0-pizza) 0.92(1488.0-donut) 0.89(1196.0-cake) 0.82(7725.0-chair) 0.86(1244.0-couch) 0.78(1857.0-potted plant) 0.96(885.0-bed) 0.75(4044.0-dining table) 0.95(704.0-toilet) 0.98(1019.0-tv) 0.98(980.0-laptop) 0.98(431.0-mouse) 0.80(982.0-remote) 0.99(558.0-keyboard) 0.85(1352.0-cell phone) 0.99(285.0-microwave) 0.91(761.0-oven) 0.34(47.0-toaster) 0.86(1085.0-sink) 0.98(542.0-refrigerator) 0.37(4164.0-book) 0.99(1302.0-clock) 0.90(1471.0-vase) 0.78(304.0-scissors) 0.93(1007.0-teddy bear) 0.00(0.0-hair drier) 0.57(340.0-toothbrush)
2021-11-01 04:02:14,741 - mmdet - INFO - pseudo ig: 0.65(197464.0-person) 0.46(4931.0-bicycle) 0.51(34737.0-car) 0.59(6661.0-motorcycle) 0.72(3519.0-airplane) 0.68(4266.0-bus) 0.63(3450.0-train) 0.36(8370.0-truck) 0.36(8277.0-boat) 0.40(10820.0-traffic light) 0.73(1418.0-fire hydrant) 0.65(1475.0-stop sign) 0.38(1031.0-parking meter) 0.23(7569.0-bench) 0.35(8169.0-bird) 0.75(3593.0-cat) 0.68(3884.0-dog) 0.63(4708.0-horse) 0.53(7832.0-sheep) 0.54(6734.0-cow) 0.80(4137.0-elephant) 0.70(1062.0-bear) 0.81(3811.0-zebra) 0.88(3558.0-giraffe) 0.24(6856.0-backpack) 0.43(9425.0-umbrella) 0.22(9483.0-handbag) 0.47(4085.0-tie) 0.41(4109.0-suitcase) 0.62(1927.0-frisbee) 0.37(4889.0-skis) 0.36(1971.0-snowboard) 0.41(4802.0-sports ball) 0.48(6228.0-kite) 0.42(2662.0-baseball bat) 0.48(2628.0-baseball glove) 0.61(4154.0-skateboard) 0.46(5292.0-surfboard) 0.69(3524.0-tennis racket) 0.44(17717.0-bottle) 0.47(6185.0-wine glass) 0.37(18298.0-cup) 0.30(4234.0-fork) 0.25(5933.0-knife) 0.21(5266.0-spoon) 0.38(12702.0-bowl) 0.28(8372.0-banana) 0.22(4474.0-apple) 0.36(3531.0-sandwich) 0.28(5519.0-orange) 0.39(5660.0-broccoli) 0.26(6083.0-carrot) 0.33(1993.0-hot dog) 0.56(4450.0-pizza) 0.44(5324.0-donut) 0.39(4626.0-cake) 0.32(29750.0-chair) 0.42(4834.0-couch) 0.38(6933.0-potted plant) 0.53(3028.0-bed) 0.37(11770.0-dining table) 0.74(2995.0-toilet) 0.63(4384.0-tv) 0.59(3969.0-laptop) 0.51(1737.0-mouse) 0.37(4391.0-remote) 0.49(2179.0-keyboard) 0.30(4977.0-cell phone) 0.59(1235.0-microwave) 0.38(2731.0-oven) 0.11(133.0-toaster) 0.48(4248.0-sink) 0.49(1980.0-refrigerator) 0.20(16625.0-book) 0.63(4476.0-clock) 0.38(5653.0-vase) 0.26(1198.0-scissors) 0.48(3958.0-teddy bear) 0.00(0.0-hair drier) 0.24(1299.0-toothbrush)
2021-11-01 04:02:14,742 - mmdet - INFO - pseudo gt: 253796.0 7080.0 42391.0 8744.0 5072.0 6076.0 4342.0 9686.0 10039.0 12601.0 1830.0 1962.0 1250.0 9888.0 10054.0 4546.0 5499.0 6123.0 9456.0 7999.0 5505.0 1310.0 5221.0 4945.0 8478.0 11149.0 11935.0 6424.0 6172.0 2587.0 6385.0 2679.0 6041.0 8721.0 3167.0 3708.0 5568.0 5762.0 4726.0 23628.0 7981.0 19987.0 5385.0 7785.0 5889.0 13660.0 8846.0 5410.0 4294.0 5996.0 7356.0 7590.0 2837.0 5716.0 6960.0 6342.0 37576.0 5705.0 8582.0 4127.0 15549.0 4109.0 5774.0 4875.0 2161.0 5518.0 2747.0 6138.0 1668.0 3203.0 203.0 5456.0 2671.0 23835.0 6340.0 6416.0 1354.0 4465.0 190.0 1806.0
2021-11-01 04:02:14,742 - mmdet - INFO - pseudo mining: 62161.0 284.0 6705.0 905.0 985.0 1432.0 753.0 121.0 337.0 1683.0 759.0 1007.0 104.0 56.0 473.0 836.0 732.0 1240.0 1846.0 1361.0 2182.0 458.0 2295.0 2393.0 31.0 817.0 36.0 560.0 218.0 950.0 143.0 21.0 1775.0 1815.0 280.0 887.0 1102.0 368.0 1405.0 2256.0 703.0 2215.0 31.0 51.0 32.0 1159.0 152.0 32.0 116.0 97.0 454.0 135.0 26.0 986.0 1247.0 187.0 379.0 117.0 483.0 138.0 249.0 1643.0 1898.0 912.0 710.0 299.0 344.0 399.0 359.0 236.0 0.0 939.0 231.0 58.0 3184.0 595.0 14.0 423.0 0.0 16.0
2021-11-01 04:03:44,340 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 04:03:44,341 - mmdet - INFO - Iter [29000/40000]	lr: 2.000e-02, eta: 5:55:10, time: 1.686, data_time: 0.032, memory: 26486, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0444, loss_cls: 0.2027, acc: 92.9044, loss_bbox: 0.2426, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1959, acc_unlabeled: 92.2963, loss_bbox_unlabeled: 0.1923, losses_cls_ig_unlabeled: 0.1844, pseudo_num: 1.4913, pseudo_num_ig: 5.6544, pseudo_num_mining: 1.0697, pseudo_num(acc): 0.8879, pseudo_num ig(acc): 0.4921, loss: 1.2784
2021-11-01 04:05:09,031 - mmdet - INFO - Iter [29050/40000]	lr: 2.000e-02, eta: 5:54:02, time: 3.456, data_time: 1.790, memory: 26486, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0491, loss_cls: 0.2080, acc: 92.7966, loss_bbox: 0.2493, loss_rpn_cls_unlabeled: 0.0870, loss_rpn_bbox_unlabeled: 0.0900, loss_cls_unlabeled: 0.1897, acc_unlabeled: 92.5598, loss_bbox_unlabeled: 0.1849, losses_cls_ig_unlabeled: 0.1810, pseudo_num: 1.4913, pseudo_num_ig: 5.6543, pseudo_num_mining: 1.0701, pseudo_num(acc): 0.8879, pseudo_num ig(acc): 0.4921, loss: 1.2715
2021-11-01 04:06:34,906 - mmdet - INFO - Iter [29100/40000]	lr: 2.000e-02, eta: 5:52:21, time: 1.714, data_time: 0.026, memory: 26486, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0464, loss_cls: 0.2031, acc: 92.8838, loss_bbox: 0.2470, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1915, acc_unlabeled: 92.3395, loss_bbox_unlabeled: 0.1861, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.4912, pseudo_num_ig: 5.6541, pseudo_num_mining: 1.0706, pseudo_num(acc): 0.8880, pseudo_num ig(acc): 0.4922, loss: 1.2662
2021-11-01 04:08:00,774 - mmdet - INFO - Iter [29150/40000]	lr: 2.000e-02, eta: 5:50:40, time: 1.720, data_time: 0.029, memory: 26486, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0464, loss_cls: 0.2051, acc: 92.7858, loss_bbox: 0.2510, loss_rpn_cls_unlabeled: 0.0814, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1878, acc_unlabeled: 92.4779, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1802, pseudo_num: 1.4912, pseudo_num_ig: 5.6544, pseudo_num_mining: 1.0711, pseudo_num(acc): 0.8880, pseudo_num ig(acc): 0.4922, loss: 1.2578
2021-11-01 04:09:26,075 - mmdet - INFO - Iter [29200/40000]	lr: 2.000e-02, eta: 5:48:58, time: 1.703, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0471, loss_cls: 0.2002, acc: 92.9883, loss_bbox: 0.2449, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1904, acc_unlabeled: 92.4801, loss_bbox_unlabeled: 0.1866, losses_cls_ig_unlabeled: 0.1826, pseudo_num: 1.4912, pseudo_num_ig: 5.6546, pseudo_num_mining: 1.0716, pseudo_num(acc): 0.8880, pseudo_num ig(acc): 0.4922, loss: 1.2645
2021-11-01 04:10:51,276 - mmdet - INFO - Iter [29250/40000]	lr: 2.000e-02, eta: 5:47:17, time: 1.706, data_time: 0.029, memory: 26486, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0462, loss_cls: 0.1943, acc: 93.1533, loss_bbox: 0.2453, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0878, loss_cls_unlabeled: 0.1835, acc_unlabeled: 92.7222, loss_bbox_unlabeled: 0.1838, losses_cls_ig_unlabeled: 0.1756, pseudo_num: 1.4912, pseudo_num_ig: 5.6547, pseudo_num_mining: 1.0723, pseudo_num(acc): 0.8880, pseudo_num ig(acc): 0.4922, loss: 1.2322
2021-11-01 04:12:17,765 - mmdet - INFO - Iter [29300/40000]	lr: 2.000e-02, eta: 5:45:36, time: 1.728, data_time: 0.028, memory: 26486, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0480, loss_cls: 0.2022, acc: 92.9353, loss_bbox: 0.2462, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1872, acc_unlabeled: 92.4447, loss_bbox_unlabeled: 0.1791, losses_cls_ig_unlabeled: 0.1905, pseudo_num: 1.4911, pseudo_num_ig: 5.6546, pseudo_num_mining: 1.0727, pseudo_num(acc): 0.8880, pseudo_num ig(acc): 0.4923, loss: 1.2646
2021-11-01 04:13:43,258 - mmdet - INFO - Iter [29350/40000]	lr: 2.000e-02, eta: 5:43:55, time: 1.711, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0476, loss_cls: 0.2045, acc: 92.7756, loss_bbox: 0.2514, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1847, acc_unlabeled: 92.4069, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4911, pseudo_num_ig: 5.6546, pseudo_num_mining: 1.0731, pseudo_num(acc): 0.8880, pseudo_num ig(acc): 0.4923, loss: 1.2672
2021-11-01 04:15:08,048 - mmdet - INFO - Iter [29400/40000]	lr: 2.000e-02, eta: 5:42:14, time: 1.699, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0501, loss_cls: 0.1992, acc: 92.9503, loss_bbox: 0.2501, loss_rpn_cls_unlabeled: 0.0860, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1847, acc_unlabeled: 92.5488, loss_bbox_unlabeled: 0.1851, losses_cls_ig_unlabeled: 0.1808, pseudo_num: 1.4911, pseudo_num_ig: 5.6545, pseudo_num_mining: 1.0735, pseudo_num(acc): 0.8881, pseudo_num ig(acc): 0.4924, loss: 1.2609
2021-11-01 04:16:34,273 - mmdet - INFO - Iter [29450/40000]	lr: 2.000e-02, eta: 5:40:33, time: 1.723, data_time: 0.025, memory: 26486, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0457, loss_cls: 0.1937, acc: 93.2477, loss_bbox: 0.2377, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1879, acc_unlabeled: 92.7172, loss_bbox_unlabeled: 0.1885, losses_cls_ig_unlabeled: 0.1752, pseudo_num: 1.4910, pseudo_num_ig: 5.6544, pseudo_num_mining: 1.0740, pseudo_num(acc): 0.8881, pseudo_num ig(acc): 0.4924, loss: 1.2369
2021-11-01 04:17:58,976 - mmdet - INFO - pseudo pos: 0.98(54810.0-person) 0.94(1257.0-bicycle) 0.94(9086.0-car) 0.98(1659.0-motorcycle) 0.99(994.0-airplane) 1.00(1093.0-bus) 0.99(1047.0-train) 0.78(2232.0-truck) 0.78(2279.0-boat) 0.92(2935.0-traffic light) 0.99(336.0-fire hydrant) 0.99(374.0-stop sign) 0.94(266.0-parking meter) 0.77(2093.0-bench) 0.93(2067.0-bird) 0.98(1116.0-cat) 0.98(1071.0-dog) 0.99(1293.0-horse) 0.95(2109.0-sheep) 0.95(1610.0-cow) 1.00(1012.0-elephant) 0.99(306.0-bear) 0.99(994.0-zebra) 0.99(1057.0-giraffe) 0.61(1761.0-backpack) 0.86(2393.0-umbrella) 0.57(2259.0-handbag) 0.93(1071.0-tie) 0.83(1106.0-suitcase) 0.99(513.0-frisbee) 0.78(1316.0-skis) 0.82(499.0-snowboard) 0.98(1297.0-sports ball) 0.91(1751.0-kite) 0.91(653.0-baseball bat) 0.97(699.0-baseball glove) 0.99(1093.0-skateboard) 0.91(1443.0-surfboard) 0.99(839.0-tennis racket) 0.89(4496.0-bottle) 0.95(1519.0-wine glass) 0.90(4617.0-cup) 0.84(976.0-fork) 0.60(1623.0-knife) 0.56(1249.0-spoon) 0.83(3264.0-bowl) 0.71(2053.0-banana) 0.57(1015.0-apple) 0.84(1011.0-sandwich) 0.67(1501.0-orange) 0.72(1477.0-broccoli) 0.59(1602.0-carrot) 0.83(572.0-hot dog) 0.96(1215.0-pizza) 0.93(1499.0-donut) 0.89(1212.0-cake) 0.82(7829.0-chair) 0.86(1265.0-couch) 0.78(1895.0-potted plant) 0.96(901.0-bed) 0.75(4103.0-dining table) 0.95(711.0-toilet) 0.98(1046.0-tv) 0.98(992.0-laptop) 0.98(436.0-mouse) 0.80(1001.0-remote) 0.99(562.0-keyboard) 0.85(1379.0-cell phone) 0.99(293.0-microwave) 0.91(783.0-oven) 0.35(48.0-toaster) 0.86(1101.0-sink) 0.98(555.0-refrigerator) 0.37(4237.0-book) 0.99(1341.0-clock) 0.90(1490.0-vase) 0.78(310.0-scissors) 0.93(1024.0-teddy bear) 0.00(0.0-hair drier) 0.58(346.0-toothbrush)
2021-11-01 04:17:58,976 - mmdet - INFO - pseudo ig: 0.65(200763.0-person) 0.46(5058.0-bicycle) 0.51(35344.0-car) 0.59(6765.0-motorcycle) 0.72(3557.0-airplane) 0.68(4364.0-bus) 0.63(3503.0-train) 0.36(8520.0-truck) 0.37(8468.0-boat) 0.40(10997.0-traffic light) 0.73(1430.0-fire hydrant) 0.65(1493.0-stop sign) 0.38(1037.0-parking meter) 0.23(7697.0-bench) 0.35(8289.0-bird) 0.75(3659.0-cat) 0.68(3959.0-dog) 0.63(4811.0-horse) 0.53(7987.0-sheep) 0.54(6843.0-cow) 0.80(4212.0-elephant) 0.70(1081.0-bear) 0.81(3892.0-zebra) 0.88(3609.0-giraffe) 0.24(6993.0-backpack) 0.43(9547.0-umbrella) 0.22(9631.0-handbag) 0.47(4185.0-tie) 0.41(4150.0-suitcase) 0.63(1960.0-frisbee) 0.37(4957.0-skis) 0.36(1998.0-snowboard) 0.41(4883.0-sports ball) 0.49(6356.0-kite) 0.42(2716.0-baseball bat) 0.49(2674.0-baseball glove) 0.61(4227.0-skateboard) 0.46(5405.0-surfboard) 0.69(3608.0-tennis racket) 0.44(18064.0-bottle) 0.46(6295.0-wine glass) 0.37(18589.0-cup) 0.30(4291.0-fork) 0.25(6030.0-knife) 0.21(5353.0-spoon) 0.38(12910.0-bowl) 0.28(8482.0-banana) 0.22(4568.0-apple) 0.36(3587.0-sandwich) 0.28(5609.0-orange) 0.39(5741.0-broccoli) 0.26(6126.0-carrot) 0.33(2025.0-hot dog) 0.56(4527.0-pizza) 0.44(5397.0-donut) 0.39(4686.0-cake) 0.32(30229.0-chair) 0.42(4914.0-couch) 0.38(7023.0-potted plant) 0.53(3087.0-bed) 0.37(11982.0-dining table) 0.73(3063.0-toilet) 0.63(4451.0-tv) 0.59(4041.0-laptop) 0.51(1770.0-mouse) 0.37(4486.0-remote) 0.49(2222.0-keyboard) 0.30(5075.0-cell phone) 0.59(1266.0-microwave) 0.38(2786.0-oven) 0.10(144.0-toaster) 0.48(4331.0-sink) 0.49(2018.0-refrigerator) 0.20(17009.0-book) 0.63(4569.0-clock) 0.38(5721.0-vase) 0.26(1216.0-scissors) 0.48(3994.0-teddy bear) 0.00(0.0-hair drier) 0.24(1331.0-toothbrush)
2021-11-01 04:17:58,976 - mmdet - INFO - pseudo gt: 258096.0 7221.0 43107.0 8896.0 5127.0 6201.0 4403.0 9866.0 10214.0 12783.0 1853.0 1989.0 1262.0 10064.0 10188.0 4626.0 5590.0 6236.0 9687.0 8098.0 5611.0 1326.0 5310.0 5025.0 8614.0 11291.0 12134.0 6530.0 6261.0 2638.0 6482.0 2721.0 6152.0 8901.0 3214.0 3788.0 5670.0 5867.0 4833.0 24096.0 8103.0 20321.0 5464.0 7922.0 6014.0 13859.0 9006.0 5536.0 4356.0 6114.0 7465.0 7665.0 2885.0 5821.0 7052.0 6415.0 38241.0 5797.0 8711.0 4198.0 15828.0 4188.0 5895.0 4961.0 2195.0 5624.0 2788.0 6246.0 1700.0 3281.0 210.0 5566.0 2724.0 24285.0 6472.0 6524.0 1373.0 4508.0 194.0 1841.0
2021-11-01 04:17:58,976 - mmdet - INFO - pseudo mining: 63462.0 291.0 6838.0 930.0 999.0 1476.0 775.0 121.0 353.0 1711.0 766.0 1019.0 106.0 56.0 483.0 855.0 750.0 1271.0 1901.0 1389.0 2237.0 466.0 2332.0 2433.0 31.0 826.0 37.0 581.0 223.0 976.0 145.0 21.0 1802.0 1864.0 293.0 912.0 1123.0 376.0 1444.0 2312.0 722.0 2266.0 32.0 54.0 33.0 1191.0 162.0 32.0 118.0 106.0 471.0 144.0 27.0 1015.0 1287.0 187.0 394.0 122.0 491.0 140.0 252.0 1685.0 1933.0 938.0 729.0 310.0 354.0 411.0 367.0 240.0 0.0 961.0 240.0 58.0 3240.0 607.0 14.0 428.0 0.0 18.0
2021-11-01 04:18:00,601 - mmdet - INFO - Iter [29500/40000]	lr: 2.000e-02, eta: 5:38:53, time: 1.726, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0441, loss_cls: 0.1964, acc: 93.2158, loss_bbox: 0.2348, loss_rpn_cls_unlabeled: 0.0864, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1900, acc_unlabeled: 92.2263, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1870, pseudo_num: 1.4909, pseudo_num_ig: 5.6544, pseudo_num_mining: 1.0746, pseudo_num(acc): 0.8881, pseudo_num ig(acc): 0.4924, loss: 1.2500
2021-11-01 04:19:26,016 - mmdet - INFO - Iter [29550/40000]	lr: 2.000e-02, eta: 5:37:12, time: 1.710, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0458, loss_cls: 0.2022, acc: 92.9626, loss_bbox: 0.2415, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1867, acc_unlabeled: 92.5565, loss_bbox_unlabeled: 0.1901, losses_cls_ig_unlabeled: 0.1785, pseudo_num: 1.4910, pseudo_num_ig: 5.6550, pseudo_num_mining: 1.0753, pseudo_num(acc): 0.8881, pseudo_num ig(acc): 0.4924, loss: 1.2533
2021-11-01 04:20:54,485 - mmdet - INFO - Iter [29600/40000]	lr: 2.000e-02, eta: 5:35:32, time: 1.764, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0464, loss_cls: 0.1980, acc: 93.0137, loss_bbox: 0.2409, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1843, acc_unlabeled: 92.4260, loss_bbox_unlabeled: 0.1810, losses_cls_ig_unlabeled: 0.1841, pseudo_num: 1.4910, pseudo_num_ig: 5.6551, pseudo_num_mining: 1.0757, pseudo_num(acc): 0.8882, pseudo_num ig(acc): 0.4925, loss: 1.2421
2021-11-01 04:22:19,849 - mmdet - INFO - Iter [29650/40000]	lr: 2.000e-02, eta: 5:33:51, time: 1.711, data_time: 0.033, memory: 26486, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0490, loss_cls: 0.1984, acc: 92.9504, loss_bbox: 0.2483, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.7305, loss_bbox_unlabeled: 0.1878, losses_cls_ig_unlabeled: 0.1775, pseudo_num: 1.4909, pseudo_num_ig: 5.6552, pseudo_num_mining: 1.0763, pseudo_num(acc): 0.8882, pseudo_num ig(acc): 0.4925, loss: 1.2585
2021-11-01 04:23:44,953 - mmdet - INFO - Iter [29700/40000]	lr: 2.000e-02, eta: 5:32:11, time: 1.704, data_time: 0.030, memory: 26486, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0496, loss_cls: 0.2039, acc: 92.9072, loss_bbox: 0.2511, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0919, loss_cls_unlabeled: 0.1816, acc_unlabeled: 92.4845, loss_bbox_unlabeled: 0.1813, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4908, pseudo_num_ig: 5.6555, pseudo_num_mining: 1.0769, pseudo_num(acc): 0.8882, pseudo_num ig(acc): 0.4925, loss: 1.2577
2021-11-01 04:25:10,619 - mmdet - INFO - Iter [29750/40000]	lr: 2.000e-02, eta: 5:30:30, time: 1.714, data_time: 0.028, memory: 26486, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0487, loss_cls: 0.2003, acc: 92.9055, loss_bbox: 0.2481, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0862, loss_cls_unlabeled: 0.1875, acc_unlabeled: 92.4769, loss_bbox_unlabeled: 0.1839, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4907, pseudo_num_ig: 5.6555, pseudo_num_mining: 1.0773, pseudo_num(acc): 0.8882, pseudo_num ig(acc): 0.4925, loss: 1.2494
2021-11-01 04:26:34,699 - mmdet - INFO - Iter [29800/40000]	lr: 2.000e-02, eta: 5:28:49, time: 1.681, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0470, loss_cls: 0.1995, acc: 92.9575, loss_bbox: 0.2444, loss_rpn_cls_unlabeled: 0.0947, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1851, acc_unlabeled: 92.7079, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1811, pseudo_num: 1.4906, pseudo_num_ig: 5.6555, pseudo_num_mining: 1.0777, pseudo_num(acc): 0.8883, pseudo_num ig(acc): 0.4925, loss: 1.2576
2021-11-01 04:27:59,326 - mmdet - INFO - Iter [29850/40000]	lr: 2.000e-02, eta: 5:27:08, time: 1.689, data_time: 0.029, memory: 26486, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0469, loss_cls: 0.1996, acc: 92.9846, loss_bbox: 0.2392, loss_rpn_cls_unlabeled: 0.0921, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1965, acc_unlabeled: 92.3695, loss_bbox_unlabeled: 0.1898, losses_cls_ig_unlabeled: 0.1869, pseudo_num: 1.4906, pseudo_num_ig: 5.6558, pseudo_num_mining: 1.0784, pseudo_num(acc): 0.8883, pseudo_num ig(acc): 0.4925, loss: 1.2727
2021-11-01 04:29:24,057 - mmdet - INFO - Iter [29900/40000]	lr: 2.000e-02, eta: 5:25:27, time: 1.693, data_time: 0.034, memory: 26486, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0478, loss_cls: 0.1995, acc: 93.0134, loss_bbox: 0.2433, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1882, acc_unlabeled: 92.5389, loss_bbox_unlabeled: 0.1858, losses_cls_ig_unlabeled: 0.1786, pseudo_num: 1.4906, pseudo_num_ig: 5.6559, pseudo_num_mining: 1.0788, pseudo_num(acc): 0.8883, pseudo_num ig(acc): 0.4925, loss: 1.2531
2021-11-01 04:30:48,303 - mmdet - INFO - Iter [29950/40000]	lr: 2.000e-02, eta: 5:23:46, time: 1.688, data_time: 0.033, memory: 26486, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0482, loss_cls: 0.2051, acc: 92.7821, loss_bbox: 0.2495, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0913, loss_cls_unlabeled: 0.1917, acc_unlabeled: 92.4397, loss_bbox_unlabeled: 0.1899, losses_cls_ig_unlabeled: 0.1827, pseudo_num: 1.4906, pseudo_num_ig: 5.6559, pseudo_num_mining: 1.0793, pseudo_num(acc): 0.8883, pseudo_num ig(acc): 0.4926, loss: 1.2786
2021-11-01 04:32:14,223 - mmdet - INFO - pseudo pos: 0.98(55653.0-person) 0.94(1287.0-bicycle) 0.94(9282.0-car) 0.99(1677.0-motorcycle) 0.99(1022.0-airplane) 1.00(1110.0-bus) 0.99(1065.0-train) 0.79(2265.0-truck) 0.79(2328.0-boat) 0.92(2981.0-traffic light) 0.99(343.0-fire hydrant) 0.99(379.0-stop sign) 0.94(266.0-parking meter) 0.77(2133.0-bench) 0.93(2100.0-bird) 0.98(1145.0-cat) 0.98(1088.0-dog) 0.99(1317.0-horse) 0.95(2157.0-sheep) 0.95(1645.0-cow) 1.00(1021.0-elephant) 0.99(313.0-bear) 0.99(1021.0-zebra) 0.99(1066.0-giraffe) 0.61(1798.0-backpack) 0.86(2453.0-umbrella) 0.57(2316.0-handbag) 0.93(1080.0-tie) 0.83(1125.0-suitcase) 0.99(518.0-frisbee) 0.78(1334.0-skis) 0.82(504.0-snowboard) 0.98(1319.0-sports ball) 0.91(1776.0-kite) 0.91(659.0-baseball bat) 0.97(708.0-baseball glove) 0.99(1109.0-skateboard) 0.91(1468.0-surfboard) 0.99(857.0-tennis racket) 0.89(4589.0-bottle) 0.96(1540.0-wine glass) 0.90(4682.0-cup) 0.84(993.0-fork) 0.60(1646.0-knife) 0.56(1273.0-spoon) 0.83(3330.0-bowl) 0.71(2072.0-banana) 0.57(1034.0-apple) 0.84(1028.0-sandwich) 0.68(1514.0-orange) 0.72(1500.0-broccoli) 0.59(1612.0-carrot) 0.83(576.0-hot dog) 0.96(1222.0-pizza) 0.93(1513.0-donut) 0.89(1223.0-cake) 0.82(7993.0-chair) 0.86(1284.0-couch) 0.78(1923.0-potted plant) 0.96(920.0-bed) 0.75(4152.0-dining table) 0.95(720.0-toilet) 0.98(1072.0-tv) 0.98(1005.0-laptop) 0.98(447.0-mouse) 0.80(1017.0-remote) 0.99(574.0-keyboard) 0.85(1409.0-cell phone) 0.99(304.0-microwave) 0.91(805.0-oven) 0.35(48.0-toaster) 0.86(1123.0-sink) 0.98(566.0-refrigerator) 0.37(4336.0-book) 0.99(1367.0-clock) 0.91(1509.0-vase) 0.78(310.0-scissors) 0.93(1045.0-teddy bear) 0.00(0.0-hair drier) 0.58(351.0-toothbrush)
2021-11-01 04:32:14,223 - mmdet - INFO - pseudo ig: 0.65(204029.0-person) 0.45(5161.0-bicycle) 0.51(35905.0-car) 0.59(6828.0-motorcycle) 0.72(3608.0-airplane) 0.68(4464.0-bus) 0.63(3560.0-train) 0.36(8704.0-truck) 0.36(8616.0-boat) 0.40(11214.0-traffic light) 0.74(1450.0-fire hydrant) 0.65(1517.0-stop sign) 0.38(1043.0-parking meter) 0.23(7846.0-bench) 0.35(8397.0-bird) 0.74(3724.0-cat) 0.68(4028.0-dog) 0.63(4904.0-horse) 0.53(8127.0-sheep) 0.54(6923.0-cow) 0.80(4263.0-elephant) 0.70(1095.0-bear) 0.81(4021.0-zebra) 0.88(3676.0-giraffe) 0.24(7145.0-backpack) 0.43(9709.0-umbrella) 0.22(9793.0-handbag) 0.47(4254.0-tie) 0.42(4198.0-suitcase) 0.63(1999.0-frisbee) 0.37(5005.0-skis) 0.36(2020.0-snowboard) 0.42(4977.0-sports ball) 0.49(6425.0-kite) 0.42(2751.0-baseball bat) 0.49(2716.0-baseball glove) 0.60(4305.0-skateboard) 0.45(5499.0-surfboard) 0.69(3686.0-tennis racket) 0.44(18382.0-bottle) 0.47(6394.0-wine glass) 0.37(18826.0-cup) 0.30(4362.0-fork) 0.25(6119.0-knife) 0.21(5433.0-spoon) 0.38(13091.0-bowl) 0.28(8541.0-banana) 0.22(4629.0-apple) 0.36(3640.0-sandwich) 0.28(5681.0-orange) 0.39(5826.0-broccoli) 0.26(6177.0-carrot) 0.33(2064.0-hot dog) 0.56(4596.0-pizza) 0.45(5478.0-donut) 0.39(4765.0-cake) 0.32(30849.0-chair) 0.42(5009.0-couch) 0.38(7157.0-potted plant) 0.53(3154.0-bed) 0.37(12197.0-dining table) 0.73(3145.0-toilet) 0.63(4540.0-tv) 0.59(4150.0-laptop) 0.51(1815.0-mouse) 0.37(4555.0-remote) 0.49(2262.0-keyboard) 0.30(5187.0-cell phone) 0.59(1278.0-microwave) 0.38(2824.0-oven) 0.10(148.0-toaster) 0.48(4399.0-sink) 0.49(2056.0-refrigerator) 0.20(17403.0-book) 0.63(4672.0-clock) 0.39(5817.0-vase) 0.26(1221.0-scissors) 0.49(4062.0-teddy bear) 0.00(0.0-hair drier) 0.24(1350.0-toothbrush)
2021-11-01 04:32:14,223 - mmdet - INFO - pseudo gt: 262269.0 7326.0 43806.0 8993.0 5224.0 6328.0 4487.0 10039.0 10413.0 12978.0 1890.0 2024.0 1274.0 10246.0 10331.0 4705.0 5664.0 6357.0 9866.0 8200.0 5681.0 1347.0 5439.0 5115.0 8739.0 11519.0 12367.0 6622.0 6381.0 2689.0 6562.0 2756.0 6271.0 9063.0 3245.0 3846.0 5759.0 5953.0 4930.0 24563.0 8240.0 20627.0 5539.0 8035.0 6134.0 14076.0 9120.0 5618.0 4423.0 6247.0 7615.0 7738.0 2923.0 5902.0 7193.0 6516.0 39061.0 5906.0 8877.0 4277.0 16094.0 4274.0 5999.0 5081.0 2255.0 5726.0 2850.0 6368.0 1732.0 3334.0 213.0 5674.0 2782.0 24783.0 6588.0 6627.0 1386.0 4632.0 198.0 1867.0
2021-11-01 04:32:14,223 - mmdet - INFO - pseudo mining: 64793.0 296.0 6962.0 937.0 1013.0 1519.0 793.0 126.0 358.0 1743.0 779.0 1039.0 110.0 56.0 486.0 868.0 767.0 1300.0 1933.0 1407.0 2276.0 473.0 2399.0 2485.0 32.0 848.0 37.0 598.0 228.0 994.0 151.0 21.0 1845.0 1880.0 301.0 926.0 1160.0 378.0 1485.0 2372.0 738.0 2307.0 33.0 55.0 35.0 1213.0 167.0 32.0 119.0 112.0 480.0 150.0 28.0 1041.0 1334.0 190.0 411.0 124.0 504.0 142.0 257.0 1736.0 1983.0 976.0 761.0 312.0 366.0 425.0 372.0 241.0 0.0 984.0 247.0 63.0 3316.0 629.0 14.0 441.0 0.0 20.0
2021-11-01 04:32:15,809 - mmdet - INFO - Saving checkpoint at 30000 iterations
2021-11-01 04:33:09,914 - mmdet - INFO - Evaluating bbox...
2021-11-01 04:34:22,553 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.468 | bicycle      | 0.220 | car            | 0.357 |
| motorcycle    | 0.321 | airplane     | 0.519 | bus            | 0.523 |
| train         | 0.483 | truck        | 0.268 | boat           | 0.184 |
| traffic light | 0.226 | fire hydrant | 0.568 | stop sign      | 0.579 |
| parking meter | 0.414 | bench        | 0.146 | bird           | 0.231 |
| cat           | 0.474 | dog          | 0.447 | horse          | 0.466 |
| sheep         | 0.378 | cow          | 0.477 | elephant       | 0.510 |
| bear          | 0.541 | zebra        | 0.549 | giraffe        | 0.588 |
| backpack      | 0.099 | umbrella     | 0.259 | handbag        | 0.084 |
| tie           | 0.233 | suitcase     | 0.206 | frisbee        | 0.504 |
| skis          | 0.155 | snowboard    | 0.192 | sports ball    | 0.356 |
| kite          | 0.314 | baseball bat | 0.206 | baseball glove | 0.271 |
| skateboard    | 0.406 | surfboard    | 0.244 | tennis racket  | 0.341 |
| bottle        | 0.303 | wine glass   | 0.271 | cup            | 0.303 |
| fork          | 0.177 | knife        | 0.096 | spoon          | 0.094 |
| bowl          | 0.315 | banana       | 0.150 | apple          | 0.096 |
| sandwich      | 0.222 | orange       | 0.218 | broccoli       | 0.172 |
| carrot        | 0.119 | hot dog      | 0.171 | pizza          | 0.368 |
| donut         | 0.235 | cake         | 0.211 | chair          | 0.181 |
| couch         | 0.305 | potted plant | 0.170 | bed            | 0.317 |
| dining table  | 0.188 | toilet       | 0.469 | tv             | 0.477 |
| laptop        | 0.490 | mouse        | 0.525 | remote         | 0.194 |
| keyboard      | 0.396 | cell phone   | 0.259 | microwave      | 0.414 |
| oven          | 0.230 | toaster      | 0.316 | sink           | 0.273 |
| refrigerator  | 0.369 | book         | 0.056 | clock          | 0.417 |
| vase          | 0.288 | scissors     | 0.180 | teddy bear     | 0.322 |
| hair drier    | 0.001 | toothbrush   | 0.105 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 04:35:18,176 - mmdet - INFO - Evaluating bbox...
2021-11-01 04:36:29,957 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.486 | bicycle      | 0.239 | car            | 0.394 |
| motorcycle    | 0.345 | airplane     | 0.538 | bus            | 0.581 |
| train         | 0.545 | truck        | 0.271 | boat           | 0.213 |
| traffic light | 0.249 | fire hydrant | 0.566 | stop sign      | 0.585 |
| parking meter | 0.431 | bench        | 0.179 | bird           | 0.282 |
| cat           | 0.558 | dog          | 0.506 | horse          | 0.494 |
| sheep         | 0.412 | cow          | 0.496 | elephant       | 0.567 |
| bear          | 0.616 | zebra        | 0.574 | giraffe        | 0.605 |
| backpack      | 0.125 | umbrella     | 0.294 | handbag        | 0.102 |
| tie           | 0.254 | suitcase     | 0.238 | frisbee        | 0.577 |
| skis          | 0.163 | snowboard    | 0.241 | sports ball    | 0.410 |
| kite          | 0.348 | baseball bat | 0.224 | baseball glove | 0.314 |
| skateboard    | 0.414 | surfboard    | 0.277 | tennis racket  | 0.389 |
| bottle        | 0.333 | wine glass   | 0.297 | cup            | 0.350 |
| fork          | 0.236 | knife        | 0.118 | spoon          | 0.098 |
| bowl          | 0.372 | banana       | 0.176 | apple          | 0.121 |
| sandwich      | 0.283 | orange       | 0.268 | broccoli       | 0.198 |
| carrot        | 0.127 | hot dog      | 0.204 | pizza          | 0.423 |
| donut         | 0.334 | cake         | 0.252 | chair          | 0.202 |
| couch         | 0.346 | potted plant | 0.193 | bed            | 0.347 |
| dining table  | 0.207 | toilet       | 0.511 | tv             | 0.497 |
| laptop        | 0.508 | mouse        | 0.563 | remote         | 0.209 |
| keyboard      | 0.418 | cell phone   | 0.296 | microwave      | 0.455 |
| oven          | 0.267 | toaster      | 0.339 | sink           | 0.295 |
| refrigerator  | 0.413 | book         | 0.071 | clock          | 0.446 |
| vase          | 0.333 | scissors     | 0.198 | teddy bear     | 0.362 |
| hair drier    | 0.002 | toothbrush   | 0.159 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 04:37:58,873 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 04:37:58,874 - mmdet - INFO - Iter [30000/40000]	lr: 2.000e-02, eta: 5:22:07, time: 1.772, data_time: 0.030, memory: 26486, bbox_mAP: 0.3370, bbox_mAP_50: 0.5410, bbox_mAP_75: 0.3620, bbox_mAP_s: 0.1980, bbox_mAP_m: 0.3680, bbox_mAP_l: 0.4410, bbox_mAP_copypaste: 0.337 0.541 0.362 0.198 0.368 0.441, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0470, loss_cls: 0.2050, acc: 92.8214, loss_bbox: 0.2504, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1819, acc_unlabeled: 92.6727, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1768, pseudo_num: 1.4906, pseudo_num_ig: 5.6557, pseudo_num_mining: 1.0798, pseudo_num(acc): 0.8883, pseudo_num ig(acc): 0.4926, loss: 1.2475
2021-11-01 04:39:23,804 - mmdet - INFO - Iter [30050/40000]	lr: 2.000e-02, eta: 5:22:20, time: 8.534, data_time: 6.870, memory: 26486, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0477, loss_cls: 0.2030, acc: 92.9218, loss_bbox: 0.2476, loss_rpn_cls_unlabeled: 0.0870, loss_rpn_bbox_unlabeled: 0.0954, loss_cls_unlabeled: 0.1915, acc_unlabeled: 92.3198, loss_bbox_unlabeled: 0.1866, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4906, pseudo_num_ig: 5.6557, pseudo_num_mining: 1.0802, pseudo_num(acc): 0.8883, pseudo_num ig(acc): 0.4926, loss: 1.2742
2021-11-01 04:40:48,961 - mmdet - INFO - Iter [30100/40000]	lr: 2.000e-02, eta: 5:20:39, time: 1.710, data_time: 0.033, memory: 26486, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0473, loss_cls: 0.1978, acc: 93.0321, loss_bbox: 0.2442, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1866, acc_unlabeled: 92.4441, loss_bbox_unlabeled: 0.1804, losses_cls_ig_unlabeled: 0.1841, pseudo_num: 1.4905, pseudo_num_ig: 5.6563, pseudo_num_mining: 1.0808, pseudo_num(acc): 0.8884, pseudo_num ig(acc): 0.4926, loss: 1.2501
2021-11-01 04:43:36,393 - mmdet - INFO - Iter [30150/40000]	lr: 2.000e-02, eta: 5:19:24, time: 3.346, data_time: 0.024, memory: 26486, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0487, loss_cls: 0.2031, acc: 92.9548, loss_bbox: 0.2484, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1819, acc_unlabeled: 92.4867, loss_bbox_unlabeled: 0.1864, losses_cls_ig_unlabeled: 0.1750, pseudo_num: 1.4904, pseudo_num_ig: 5.6569, pseudo_num_mining: 1.0814, pseudo_num(acc): 0.8884, pseudo_num ig(acc): 0.4926, loss: 1.2581
2021-11-01 04:45:02,872 - mmdet - INFO - Iter [30200/40000]	lr: 2.000e-02, eta: 5:17:44, time: 1.731, data_time: 0.029, memory: 26486, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0500, loss_cls: 0.2013, acc: 92.8967, loss_bbox: 0.2465, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1931, acc_unlabeled: 92.3304, loss_bbox_unlabeled: 0.1867, losses_cls_ig_unlabeled: 0.1786, pseudo_num: 1.4904, pseudo_num_ig: 5.6571, pseudo_num_mining: 1.0818, pseudo_num(acc): 0.8884, pseudo_num ig(acc): 0.4926, loss: 1.2726
2021-11-01 04:46:29,695 - mmdet - INFO - Iter [30250/40000]	lr: 2.000e-02, eta: 5:16:03, time: 1.736, data_time: 0.026, memory: 26486, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0466, loss_cls: 0.2056, acc: 92.8486, loss_bbox: 0.2520, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1908, acc_unlabeled: 92.2278, loss_bbox_unlabeled: 0.1873, losses_cls_ig_unlabeled: 0.1862, pseudo_num: 1.4904, pseudo_num_ig: 5.6574, pseudo_num_mining: 1.0823, pseudo_num(acc): 0.8884, pseudo_num ig(acc): 0.4926, loss: 1.2755
2021-11-01 04:47:56,013 - mmdet - INFO - Iter [30300/40000]	lr: 2.000e-02, eta: 5:14:22, time: 1.727, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0444, loss_cls: 0.1991, acc: 92.9438, loss_bbox: 0.2474, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0879, loss_cls_unlabeled: 0.1880, acc_unlabeled: 92.5914, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1727, pseudo_num: 1.4904, pseudo_num_ig: 5.6575, pseudo_num_mining: 1.0827, pseudo_num(acc): 0.8884, pseudo_num ig(acc): 0.4926, loss: 1.2393
2021-11-01 04:49:21,034 - mmdet - INFO - Iter [30350/40000]	lr: 2.000e-02, eta: 5:12:41, time: 1.701, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0470, loss_cls: 0.2023, acc: 92.8916, loss_bbox: 0.2493, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1840, acc_unlabeled: 92.4548, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4904, pseudo_num_ig: 5.6574, pseudo_num_mining: 1.0831, pseudo_num(acc): 0.8885, pseudo_num ig(acc): 0.4927, loss: 1.2505
2021-11-01 04:50:46,914 - mmdet - INFO - Iter [30400/40000]	lr: 2.000e-02, eta: 5:11:00, time: 1.714, data_time: 0.027, memory: 26486, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0489, loss_cls: 0.2029, acc: 92.8953, loss_bbox: 0.2520, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1909, acc_unlabeled: 92.5017, loss_bbox_unlabeled: 0.1951, losses_cls_ig_unlabeled: 0.1751, pseudo_num: 1.4904, pseudo_num_ig: 5.6577, pseudo_num_mining: 1.0836, pseudo_num(acc): 0.8885, pseudo_num ig(acc): 0.4927, loss: 1.2841
2021-11-01 04:52:13,765 - mmdet - INFO - Iter [30450/40000]	lr: 2.000e-02, eta: 5:09:20, time: 1.739, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0452, loss_cls: 0.1983, acc: 93.0389, loss_bbox: 0.2413, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0910, loss_cls_unlabeled: 0.1890, acc_unlabeled: 92.5958, loss_bbox_unlabeled: 0.1853, losses_cls_ig_unlabeled: 0.1749, pseudo_num: 1.4905, pseudo_num_ig: 5.6579, pseudo_num_mining: 1.0841, pseudo_num(acc): 0.8885, pseudo_num ig(acc): 0.4927, loss: 1.2391
2021-11-01 04:53:38,257 - mmdet - INFO - pseudo pos: 0.98(56644.0-person) 0.94(1313.0-bicycle) 0.94(9426.0-car) 0.99(1712.0-motorcycle) 0.99(1044.0-airplane) 1.00(1129.0-bus) 0.99(1081.0-train) 0.79(2292.0-truck) 0.79(2359.0-boat) 0.92(3027.0-traffic light) 0.99(346.0-fire hydrant) 0.99(380.0-stop sign) 0.94(270.0-parking meter) 0.77(2177.0-bench) 0.94(2144.0-bird) 0.98(1163.0-cat) 0.98(1102.0-dog) 0.99(1339.0-horse) 0.95(2192.0-sheep) 0.95(1670.0-cow) 1.00(1035.0-elephant) 0.99(318.0-bear) 0.99(1051.0-zebra) 0.99(1083.0-giraffe) 0.61(1827.0-backpack) 0.86(2510.0-umbrella) 0.57(2349.0-handbag) 0.93(1095.0-tie) 0.83(1146.0-suitcase) 0.99(528.0-frisbee) 0.78(1358.0-skis) 0.82(515.0-snowboard) 0.98(1335.0-sports ball) 0.91(1803.0-kite) 0.92(672.0-baseball bat) 0.97(720.0-baseball glove) 0.99(1131.0-skateboard) 0.92(1497.0-surfboard) 0.99(872.0-tennis racket) 0.89(4658.0-bottle) 0.96(1578.0-wine glass) 0.90(4759.0-cup) 0.83(1011.0-fork) 0.60(1667.0-knife) 0.55(1282.0-spoon) 0.83(3366.0-bowl) 0.71(2111.0-banana) 0.58(1048.0-apple) 0.84(1040.0-sandwich) 0.67(1523.0-orange) 0.72(1527.0-broccoli) 0.60(1637.0-carrot) 0.83(589.0-hot dog) 0.96(1251.0-pizza) 0.93(1524.0-donut) 0.89(1243.0-cake) 0.82(8148.0-chair) 0.86(1313.0-couch) 0.78(1943.0-potted plant) 0.96(937.0-bed) 0.75(4219.0-dining table) 0.95(732.0-toilet) 0.98(1091.0-tv) 0.98(1012.0-laptop) 0.98(454.0-mouse) 0.80(1029.0-remote) 0.99(577.0-keyboard) 0.86(1428.0-cell phone) 0.99(309.0-microwave) 0.91(818.0-oven) 0.35(48.0-toaster) 0.86(1141.0-sink) 0.98(572.0-refrigerator) 0.38(4409.0-book) 0.99(1386.0-clock) 0.91(1527.0-vase) 0.78(312.0-scissors) 0.94(1051.0-teddy bear) 0.00(0.0-hair drier) 0.58(355.0-toothbrush)
2021-11-01 04:53:38,257 - mmdet - INFO - pseudo ig: 0.65(207403.0-person) 0.45(5256.0-bicycle) 0.51(36541.0-car) 0.59(6967.0-motorcycle) 0.72(3667.0-airplane) 0.68(4535.0-bus) 0.63(3627.0-train) 0.36(8837.0-truck) 0.36(8766.0-boat) 0.40(11377.0-traffic light) 0.74(1470.0-fire hydrant) 0.65(1538.0-stop sign) 0.38(1068.0-parking meter) 0.23(8014.0-bench) 0.35(8600.0-bird) 0.74(3795.0-cat) 0.68(4092.0-dog) 0.63(4997.0-horse) 0.53(8204.0-sheep) 0.54(7010.0-cow) 0.81(4320.0-elephant) 0.70(1120.0-bear) 0.81(4083.0-zebra) 0.88(3756.0-giraffe) 0.24(7246.0-backpack) 0.43(9885.0-umbrella) 0.22(9933.0-handbag) 0.47(4331.0-tie) 0.42(4264.0-suitcase) 0.63(2021.0-frisbee) 0.37(5066.0-skis) 0.37(2059.0-snowboard) 0.42(5059.0-sports ball) 0.49(6542.0-kite) 0.42(2804.0-baseball bat) 0.49(2762.0-baseball glove) 0.61(4351.0-skateboard) 0.46(5589.0-surfboard) 0.69(3766.0-tennis racket) 0.44(18760.0-bottle) 0.47(6510.0-wine glass) 0.37(19130.0-cup) 0.30(4450.0-fork) 0.25(6219.0-knife) 0.21(5507.0-spoon) 0.38(13307.0-bowl) 0.28(8725.0-banana) 0.22(4677.0-apple) 0.36(3691.0-sandwich) 0.28(5747.0-orange) 0.39(5907.0-broccoli) 0.26(6253.0-carrot) 0.33(2097.0-hot dog) 0.56(4663.0-pizza) 0.45(5562.0-donut) 0.39(4831.0-cake) 0.32(31462.0-chair) 0.42(5080.0-couch) 0.38(7273.0-potted plant) 0.53(3199.0-bed) 0.37(12413.0-dining table) 0.73(3187.0-toilet) 0.63(4606.0-tv) 0.59(4227.0-laptop) 0.51(1843.0-mouse) 0.37(4633.0-remote) 0.49(2307.0-keyboard) 0.30(5271.0-cell phone) 0.60(1294.0-microwave) 0.38(2866.0-oven) 0.10(148.0-toaster) 0.48(4486.0-sink) 0.49(2096.0-refrigerator) 0.20(17639.0-book) 0.63(4752.0-clock) 0.39(5901.0-vase) 0.26(1233.0-scissors) 0.49(4127.0-teddy bear) 0.00(0.0-hair drier) 0.24(1387.0-toothbrush)
2021-11-01 04:53:38,258 - mmdet - INFO - pseudo gt: 266610.0 7438.0 44535.0 9149.0 5326.0 6428.0 4564.0 10232.0 10568.0 13164.0 1910.0 2050.0 1288.0 10403.0 10532.0 4783.0 5770.0 6482.0 9977.0 8347.0 5776.0 1368.0 5544.0 5227.0 8866.0 11720.0 12532.0 6721.0 6472.0 2723.0 6647.0 2812.0 6381.0 9198.0 3315.0 3915.0 5841.0 6048.0 5041.0 25014.0 8392.0 20980.0 5649.0 8143.0 6219.0 14254.0 9263.0 5678.0 4484.0 6305.0 7768.0 7916.0 2974.0 5998.0 7298.0 6614.0 39795.0 6001.0 8981.0 4343.0 16387.0 4355.0 6106.0 5157.0 2290.0 5808.0 2893.0 6470.0 1763.0 3383.0 215.0 5771.0 2827.0 25063.0 6686.0 6724.0 1403.0 4707.0 202.0 1897.0
2021-11-01 04:53:38,258 - mmdet - INFO - pseudo mining: 65995.0 301.0 7101.0 951.0 1037.0 1557.0 815.0 135.0 370.0 1758.0 793.0 1052.0 110.0 59.0 497.0 896.0 788.0 1339.0 1962.0 1436.0 2329.0 482.0 2447.0 2554.0 32.0 856.0 37.0 611.0 231.0 1007.0 156.0 22.0 1885.0 1918.0 310.0 945.0 1183.0 396.0 1532.0 2443.0 766.0 2351.0 33.0 55.0 38.0 1240.0 170.0 32.0 127.0 114.0 490.0 152.0 29.0 1059.0 1369.0 193.0 431.0 125.0 521.0 145.0 261.0 1766.0 2024.0 1008.0 776.0 325.0 377.0 438.0 381.0 250.0 0.0 1019.0 258.0 64.0 3370.0 642.0 14.0 448.0 0.0 21.0
2021-11-01 04:53:39,849 - mmdet - INFO - Iter [30500/40000]	lr: 2.000e-02, eta: 5:07:39, time: 1.721, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0485, loss_cls: 0.2079, acc: 92.6572, loss_bbox: 0.2543, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1920, acc_unlabeled: 92.3320, loss_bbox_unlabeled: 0.1867, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.4905, pseudo_num_ig: 5.6584, pseudo_num_mining: 1.0847, pseudo_num(acc): 0.8885, pseudo_num ig(acc): 0.4927, loss: 1.2821
2021-11-01 04:55:04,553 - mmdet - INFO - Iter [30550/40000]	lr: 2.000e-02, eta: 5:05:58, time: 1.692, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0485, loss_cls: 0.2009, acc: 92.9152, loss_bbox: 0.2467, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0883, loss_cls_unlabeled: 0.1828, acc_unlabeled: 92.7118, loss_bbox_unlabeled: 0.1807, losses_cls_ig_unlabeled: 0.1763, pseudo_num: 1.4905, pseudo_num_ig: 5.6584, pseudo_num_mining: 1.0851, pseudo_num(acc): 0.8885, pseudo_num ig(acc): 0.4927, loss: 1.2435
2021-11-01 04:56:29,543 - mmdet - INFO - Iter [30600/40000]	lr: 2.000e-02, eta: 5:04:17, time: 1.701, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0466, loss_cls: 0.1997, acc: 93.0624, loss_bbox: 0.2446, loss_rpn_cls_unlabeled: 0.0854, loss_rpn_bbox_unlabeled: 0.0895, loss_cls_unlabeled: 0.1899, acc_unlabeled: 92.4342, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1771, pseudo_num: 1.4905, pseudo_num_ig: 5.6586, pseudo_num_mining: 1.0856, pseudo_num(acc): 0.8886, pseudo_num ig(acc): 0.4927, loss: 1.2533
2021-11-01 04:57:54,418 - mmdet - INFO - Iter [30650/40000]	lr: 2.000e-02, eta: 5:02:37, time: 1.696, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0463, loss_cls: 0.2007, acc: 92.9114, loss_bbox: 0.2431, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1896, acc_unlabeled: 92.5732, loss_bbox_unlabeled: 0.1859, losses_cls_ig_unlabeled: 0.1802, pseudo_num: 1.4905, pseudo_num_ig: 5.6588, pseudo_num_mining: 1.0860, pseudo_num(acc): 0.8886, pseudo_num ig(acc): 0.4927, loss: 1.2563
2021-11-01 04:59:18,172 - mmdet - INFO - Iter [30700/40000]	lr: 2.000e-02, eta: 5:00:55, time: 1.676, data_time: 0.035, memory: 26490, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0474, loss_cls: 0.1995, acc: 92.8568, loss_bbox: 0.2533, loss_rpn_cls_unlabeled: 0.0858, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1849, acc_unlabeled: 92.5012, loss_bbox_unlabeled: 0.1880, losses_cls_ig_unlabeled: 0.1749, pseudo_num: 1.4905, pseudo_num_ig: 5.6593, pseudo_num_mining: 1.0865, pseudo_num(acc): 0.8886, pseudo_num ig(acc): 0.4927, loss: 1.2578
2021-11-01 05:00:42,826 - mmdet - INFO - Iter [30750/40000]	lr: 2.000e-02, eta: 4:59:15, time: 1.696, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0451, loss_cls: 0.1937, acc: 93.0916, loss_bbox: 0.2427, loss_rpn_cls_unlabeled: 0.0845, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1885, acc_unlabeled: 92.2324, loss_bbox_unlabeled: 0.1909, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4906, pseudo_num_ig: 5.6597, pseudo_num_mining: 1.0870, pseudo_num(acc): 0.8886, pseudo_num ig(acc): 0.4927, loss: 1.2508
2021-11-01 05:02:07,536 - mmdet - INFO - Iter [30800/40000]	lr: 2.000e-02, eta: 4:57:34, time: 1.689, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0466, loss_cls: 0.1967, acc: 93.0123, loss_bbox: 0.2436, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1885, acc_unlabeled: 92.4594, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.4906, pseudo_num_ig: 5.6601, pseudo_num_mining: 1.0874, pseudo_num(acc): 0.8886, pseudo_num ig(acc): 0.4927, loss: 1.2549
2021-11-01 05:03:30,738 - mmdet - INFO - Iter [30850/40000]	lr: 2.000e-02, eta: 4:55:53, time: 1.668, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0467, loss_cls: 0.2003, acc: 92.9094, loss_bbox: 0.2491, loss_rpn_cls_unlabeled: 0.0897, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1872, acc_unlabeled: 92.5709, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1781, pseudo_num: 1.4906, pseudo_num_ig: 5.6609, pseudo_num_mining: 1.0880, pseudo_num(acc): 0.8887, pseudo_num ig(acc): 0.4927, loss: 1.2628
2021-11-01 05:04:56,617 - mmdet - INFO - Iter [30900/40000]	lr: 2.000e-02, eta: 4:54:13, time: 1.718, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0464, loss_cls: 0.2011, acc: 92.9293, loss_bbox: 0.2468, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1843, acc_unlabeled: 92.5316, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1771, pseudo_num: 1.4906, pseudo_num_ig: 5.6611, pseudo_num_mining: 1.0885, pseudo_num(acc): 0.8887, pseudo_num ig(acc): 0.4928, loss: 1.2444
2021-11-01 05:06:21,590 - mmdet - INFO - Iter [30950/40000]	lr: 2.000e-02, eta: 4:52:32, time: 1.699, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0475, loss_cls: 0.2028, acc: 92.8230, loss_bbox: 0.2503, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1890, acc_unlabeled: 92.5039, loss_bbox_unlabeled: 0.1904, losses_cls_ig_unlabeled: 0.1763, pseudo_num: 1.4906, pseudo_num_ig: 5.6613, pseudo_num_mining: 1.0890, pseudo_num(acc): 0.8887, pseudo_num ig(acc): 0.4928, loss: 1.2650
2021-11-01 05:07:43,567 - mmdet - INFO - pseudo pos: 0.98(57612.0-person) 0.94(1336.0-bicycle) 0.94(9580.0-car) 0.99(1739.0-motorcycle) 0.99(1064.0-airplane) 1.00(1152.0-bus) 0.99(1094.0-train) 0.79(2315.0-truck) 0.79(2393.0-boat) 0.92(3071.0-traffic light) 0.99(350.0-fire hydrant) 0.99(390.0-stop sign) 0.95(277.0-parking meter) 0.77(2227.0-bench) 0.94(2173.0-bird) 0.98(1175.0-cat) 0.98(1113.0-dog) 0.99(1358.0-horse) 0.95(2233.0-sheep) 0.95(1709.0-cow) 1.00(1052.0-elephant) 0.99(326.0-bear) 0.99(1079.0-zebra) 0.99(1093.0-giraffe) 0.61(1860.0-backpack) 0.86(2569.0-umbrella) 0.57(2410.0-handbag) 0.93(1114.0-tie) 0.83(1163.0-suitcase) 0.99(533.0-frisbee) 0.78(1385.0-skis) 0.82(526.0-snowboard) 0.98(1364.0-sports ball) 0.91(1829.0-kite) 0.91(678.0-baseball bat) 0.97(725.0-baseball glove) 0.99(1149.0-skateboard) 0.92(1518.0-surfboard) 0.99(881.0-tennis racket) 0.89(4718.0-bottle) 0.96(1601.0-wine glass) 0.90(4836.0-cup) 0.84(1025.0-fork) 0.60(1694.0-knife) 0.55(1310.0-spoon) 0.83(3439.0-bowl) 0.71(2136.0-banana) 0.58(1064.0-apple) 0.84(1054.0-sandwich) 0.67(1538.0-orange) 0.71(1552.0-broccoli) 0.60(1666.0-carrot) 0.83(598.0-hot dog) 0.96(1278.0-pizza) 0.93(1561.0-donut) 0.89(1258.0-cake) 0.82(8279.0-chair) 0.86(1333.0-couch) 0.78(1979.0-potted plant) 0.96(956.0-bed) 0.75(4284.0-dining table) 0.96(746.0-toilet) 0.98(1097.0-tv) 0.98(1020.0-laptop) 0.98(459.0-mouse) 0.80(1040.0-remote) 0.99(581.0-keyboard) 0.86(1452.0-cell phone) 0.99(314.0-microwave) 0.91(826.0-oven) 0.35(49.0-toaster) 0.86(1153.0-sink) 0.98(580.0-refrigerator) 0.38(4487.0-book) 0.99(1401.0-clock) 0.91(1542.0-vase) 0.78(319.0-scissors) 0.94(1057.0-teddy bear) 0.00(0.0-hair drier) 0.58(361.0-toothbrush)
2021-11-01 05:07:43,568 - mmdet - INFO - pseudo ig: 0.65(210872.0-person) 0.45(5321.0-bicycle) 0.51(37258.0-car) 0.59(7136.0-motorcycle) 0.72(3726.0-airplane) 0.68(4597.0-bus) 0.63(3681.0-train) 0.36(8986.0-truck) 0.36(8913.0-boat) 0.39(11577.0-traffic light) 0.74(1492.0-fire hydrant) 0.65(1567.0-stop sign) 0.37(1091.0-parking meter) 0.22(8195.0-bench) 0.35(8760.0-bird) 0.74(3858.0-cat) 0.68(4151.0-dog) 0.64(5064.0-horse) 0.53(8323.0-sheep) 0.54(7117.0-cow) 0.81(4367.0-elephant) 0.70(1137.0-bear) 0.81(4172.0-zebra) 0.89(3828.0-giraffe) 0.24(7381.0-backpack) 0.43(10061.0-umbrella) 0.22(10117.0-handbag) 0.47(4396.0-tie) 0.42(4325.0-suitcase) 0.63(2056.0-frisbee) 0.37(5123.0-skis) 0.36(2098.0-snowboard) 0.41(5163.0-sports ball) 0.49(6667.0-kite) 0.42(2829.0-baseball bat) 0.49(2787.0-baseball glove) 0.61(4423.0-skateboard) 0.46(5679.0-surfboard) 0.69(3835.0-tennis racket) 0.44(19010.0-bottle) 0.46(6636.0-wine glass) 0.37(19452.0-cup) 0.30(4524.0-fork) 0.25(6330.0-knife) 0.21(5602.0-spoon) 0.38(13572.0-bowl) 0.28(8862.0-banana) 0.22(4793.0-apple) 0.36(3742.0-sandwich) 0.28(5940.0-orange) 0.39(5985.0-broccoli) 0.26(6381.0-carrot) 0.33(2128.0-hot dog) 0.56(4745.0-pizza) 0.45(5618.0-donut) 0.39(4940.0-cake) 0.32(31912.0-chair) 0.42(5162.0-couch) 0.38(7384.0-potted plant) 0.53(3257.0-bed) 0.37(12627.0-dining table) 0.73(3240.0-toilet) 0.63(4667.0-tv) 0.59(4285.0-laptop) 0.51(1856.0-mouse) 0.37(4728.0-remote) 0.49(2331.0-keyboard) 0.30(5346.0-cell phone) 0.60(1310.0-microwave) 0.38(2911.0-oven) 0.10(150.0-toaster) 0.48(4546.0-sink) 0.50(2139.0-refrigerator) 0.20(17889.0-book) 0.63(4815.0-clock) 0.39(6005.0-vase) 0.26(1264.0-scissors) 0.49(4183.0-teddy bear) 0.00(0.0-hair drier) 0.24(1415.0-toothbrush)
2021-11-01 05:07:43,568 - mmdet - INFO - pseudo gt: 270929.0 7551.0 45292.0 9334.0 5410.0 6537.0 4647.0 10370.0 10738.0 13350.0 1937.0 2091.0 1298.0 10565.0 10729.0 4859.0 5858.0 6587.0 10153.0 8516.0 5882.0 1394.0 5685.0 5330.0 9036.0 11912.0 12787.0 6815.0 6567.0 2771.0 6778.0 2843.0 6475.0 9421.0 3356.0 3963.0 5931.0 6130.0 5120.0 25366.0 8492.0 21366.0 5734.0 8277.0 6328.0 14556.0 9427.0 5829.0 4554.0 6413.0 7878.0 8090.0 3019.0 6084.0 7425.0 6738.0 40408.0 6101.0 9119.0 4407.0 16667.0 4431.0 6182.0 5219.0 2321.0 5888.0 2931.0 6566.0 1786.0 3448.0 215.0 5862.0 2874.0 25443.0 6772.0 6845.0 1444.0 4782.0 204.0 1916.0
2021-11-01 05:07:43,568 - mmdet - INFO - pseudo mining: 67218.0 304.0 7259.0 967.0 1061.0 1591.0 830.0 144.0 379.0 1788.0 805.0 1070.0 111.0 59.0 513.0 924.0 805.0 1364.0 2009.0 1468.0 2369.0 495.0 2517.0 2620.0 32.0 867.0 37.0 622.0 239.0 1028.0 157.0 22.0 1918.0 1955.0 314.0 957.0 1211.0 399.0 1561.0 2495.0 776.0 2409.0 33.0 55.0 38.0 1281.0 170.0 33.0 132.0 127.0 509.0 154.0 30.0 1083.0 1394.0 198.0 441.0 132.0 530.0 148.0 267.0 1809.0 2063.0 1025.0 787.0 336.0 383.0 445.0 386.0 254.0 0.0 1046.0 269.0 71.0 3416.0 662.0 14.0 453.0 0.0 22.0
2021-11-01 05:09:14,415 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 05:09:14,415 - mmdet - INFO - Iter [31000/40000]	lr: 2.000e-02, eta: 4:50:51, time: 1.672, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0451, loss_cls: 0.1963, acc: 93.0411, loss_bbox: 0.2453, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1817, acc_unlabeled: 92.5948, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1788, pseudo_num: 1.4906, pseudo_num_ig: 5.6616, pseudo_num_mining: 1.0894, pseudo_num(acc): 0.8887, pseudo_num ig(acc): 0.4928, loss: 1.2422
2021-11-01 05:10:41,409 - mmdet - INFO - Iter [31050/40000]	lr: 2.000e-02, eta: 4:49:37, time: 3.525, data_time: 1.813, memory: 26490, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0469, loss_cls: 0.1963, acc: 93.0062, loss_bbox: 0.2447, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1897, acc_unlabeled: 92.4844, loss_bbox_unlabeled: 0.1916, losses_cls_ig_unlabeled: 0.1779, pseudo_num: 1.4906, pseudo_num_ig: 5.6619, pseudo_num_mining: 1.0899, pseudo_num(acc): 0.8887, pseudo_num ig(acc): 0.4928, loss: 1.2571
2021-11-01 05:12:06,298 - mmdet - INFO - Iter [31100/40000]	lr: 2.000e-02, eta: 4:47:56, time: 1.697, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0495, loss_cls: 0.1977, acc: 93.0339, loss_bbox: 0.2444, loss_rpn_cls_unlabeled: 0.0888, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1803, acc_unlabeled: 92.3784, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1811, pseudo_num: 1.4906, pseudo_num_ig: 5.6624, pseudo_num_mining: 1.0904, pseudo_num(acc): 0.8888, pseudo_num ig(acc): 0.4928, loss: 1.2515
2021-11-01 05:13:31,937 - mmdet - INFO - Iter [31150/40000]	lr: 2.000e-02, eta: 4:46:16, time: 1.713, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0472, loss_cls: 0.2009, acc: 92.9811, loss_bbox: 0.2447, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1917, acc_unlabeled: 92.2694, loss_bbox_unlabeled: 0.1903, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 1.4907, pseudo_num_ig: 5.6628, pseudo_num_mining: 1.0908, pseudo_num(acc): 0.8888, pseudo_num ig(acc): 0.4928, loss: 1.2717
2021-11-01 05:14:57,224 - mmdet - INFO - Iter [31200/40000]	lr: 2.000e-02, eta: 4:44:36, time: 1.705, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0465, loss_cls: 0.1994, acc: 92.9708, loss_bbox: 0.2462, loss_rpn_cls_unlabeled: 0.0906, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1935, acc_unlabeled: 92.2502, loss_bbox_unlabeled: 0.1869, losses_cls_ig_unlabeled: 0.1826, pseudo_num: 1.4907, pseudo_num_ig: 5.6634, pseudo_num_mining: 1.0913, pseudo_num(acc): 0.8888, pseudo_num ig(acc): 0.4928, loss: 1.2749
2021-11-01 05:16:23,453 - mmdet - INFO - Iter [31250/40000]	lr: 2.000e-02, eta: 4:42:56, time: 1.723, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0478, loss_cls: 0.2030, acc: 92.7697, loss_bbox: 0.2530, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1876, acc_unlabeled: 92.5164, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1756, pseudo_num: 1.4908, pseudo_num_ig: 5.6638, pseudo_num_mining: 1.0917, pseudo_num(acc): 0.8888, pseudo_num ig(acc): 0.4928, loss: 1.2621
2021-11-01 05:17:49,002 - mmdet - INFO - Iter [31300/40000]	lr: 2.000e-02, eta: 4:41:16, time: 1.714, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0481, loss_cls: 0.2015, acc: 92.8475, loss_bbox: 0.2505, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1848, acc_unlabeled: 92.5878, loss_bbox_unlabeled: 0.1815, losses_cls_ig_unlabeled: 0.1810, pseudo_num: 1.4908, pseudo_num_ig: 5.6639, pseudo_num_mining: 1.0921, pseudo_num(acc): 0.8888, pseudo_num ig(acc): 0.4928, loss: 1.2561
2021-11-01 05:19:14,151 - mmdet - INFO - Iter [31350/40000]	lr: 2.000e-02, eta: 4:39:35, time: 1.703, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0492, loss_cls: 0.2055, acc: 92.7407, loss_bbox: 0.2501, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1877, acc_unlabeled: 92.3378, loss_bbox_unlabeled: 0.1874, losses_cls_ig_unlabeled: 0.1808, pseudo_num: 1.4908, pseudo_num_ig: 5.6644, pseudo_num_mining: 1.0926, pseudo_num(acc): 0.8888, pseudo_num ig(acc): 0.4928, loss: 1.2737
2021-11-01 05:20:40,048 - mmdet - INFO - Iter [31400/40000]	lr: 2.000e-02, eta: 4:37:55, time: 1.714, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0478, loss_cls: 0.1983, acc: 92.9673, loss_bbox: 0.2478, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1843, acc_unlabeled: 92.3629, loss_bbox_unlabeled: 0.1850, losses_cls_ig_unlabeled: 0.1784, pseudo_num: 1.4909, pseudo_num_ig: 5.6645, pseudo_num_mining: 1.0929, pseudo_num(acc): 0.8889, pseudo_num ig(acc): 0.4928, loss: 1.2521
2021-11-01 05:22:04,485 - mmdet - INFO - Iter [31450/40000]	lr: 2.000e-02, eta: 4:36:15, time: 1.693, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0466, loss_cls: 0.1986, acc: 92.9816, loss_bbox: 0.2465, loss_rpn_cls_unlabeled: 0.0885, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1903, acc_unlabeled: 92.1589, loss_bbox_unlabeled: 0.1862, losses_cls_ig_unlabeled: 0.1861, pseudo_num: 1.4910, pseudo_num_ig: 5.6648, pseudo_num_mining: 1.0933, pseudo_num(acc): 0.8889, pseudo_num ig(acc): 0.4928, loss: 1.2669
2021-11-01 05:23:28,613 - mmdet - INFO - pseudo pos: 0.98(58570.0-person) 0.94(1358.0-bicycle) 0.94(9740.0-car) 0.98(1770.0-motorcycle) 0.99(1077.0-airplane) 1.00(1164.0-bus) 0.99(1120.0-train) 0.79(2355.0-truck) 0.79(2427.0-boat) 0.92(3110.0-traffic light) 0.99(355.0-fire hydrant) 0.99(393.0-stop sign) 0.95(280.0-parking meter) 0.77(2261.0-bench) 0.94(2213.0-bird) 0.98(1192.0-cat) 0.98(1133.0-dog) 0.99(1388.0-horse) 0.95(2269.0-sheep) 0.96(1728.0-cow) 1.00(1068.0-elephant) 0.99(329.0-bear) 0.99(1087.0-zebra) 0.99(1117.0-giraffe) 0.61(1892.0-backpack) 0.86(2614.0-umbrella) 0.57(2462.0-handbag) 0.93(1133.0-tie) 0.84(1196.0-suitcase) 0.99(536.0-frisbee) 0.78(1394.0-skis) 0.83(543.0-snowboard) 0.98(1387.0-sports ball) 0.91(1852.0-kite) 0.91(692.0-baseball bat) 0.97(733.0-baseball glove) 0.99(1166.0-skateboard) 0.92(1533.0-surfboard) 0.99(899.0-tennis racket) 0.89(4786.0-bottle) 0.96(1620.0-wine glass) 0.90(4909.0-cup) 0.84(1045.0-fork) 0.61(1720.0-knife) 0.55(1326.0-spoon) 0.83(3506.0-bowl) 0.71(2184.0-banana) 0.58(1092.0-apple) 0.84(1071.0-sandwich) 0.67(1556.0-orange) 0.72(1565.0-broccoli) 0.60(1679.0-carrot) 0.83(600.0-hot dog) 0.96(1297.0-pizza) 0.93(1581.0-donut) 0.89(1274.0-cake) 0.82(8428.0-chair) 0.86(1361.0-couch) 0.78(2003.0-potted plant) 0.96(973.0-bed) 0.75(4343.0-dining table) 0.96(754.0-toilet) 0.98(1129.0-tv) 0.98(1048.0-laptop) 0.98(465.0-mouse) 0.80(1055.0-remote) 0.99(595.0-keyboard) 0.85(1480.0-cell phone) 0.99(317.0-microwave) 0.91(835.0-oven) 0.35(49.0-toaster) 0.86(1162.0-sink) 0.98(593.0-refrigerator) 0.38(4580.0-book) 0.99(1428.0-clock) 0.91(1565.0-vase) 0.78(331.0-scissors) 0.94(1070.0-teddy bear) 0.00(2.0-hair drier) 0.59(364.0-toothbrush)
2021-11-01 05:23:28,613 - mmdet - INFO - pseudo ig: 0.65(214553.0-person) 0.45(5381.0-bicycle) 0.51(37855.0-car) 0.59(7247.0-motorcycle) 0.72(3784.0-airplane) 0.69(4684.0-bus) 0.63(3753.0-train) 0.36(9119.0-truck) 0.36(9033.0-boat) 0.39(11774.0-traffic light) 0.74(1509.0-fire hydrant) 0.65(1584.0-stop sign) 0.37(1120.0-parking meter) 0.23(8301.0-bench) 0.35(8921.0-bird) 0.75(3919.0-cat) 0.68(4198.0-dog) 0.64(5148.0-horse) 0.53(8511.0-sheep) 0.54(7207.0-cow) 0.81(4437.0-elephant) 0.70(1154.0-bear) 0.81(4227.0-zebra) 0.89(3880.0-giraffe) 0.24(7492.0-backpack) 0.43(10280.0-umbrella) 0.22(10316.0-handbag) 0.47(4462.0-tie) 0.42(4427.0-suitcase) 0.63(2089.0-frisbee) 0.37(5199.0-skis) 0.36(2129.0-snowboard) 0.41(5272.0-sports ball) 0.49(6773.0-kite) 0.42(2875.0-baseball bat) 0.49(2827.0-baseball glove) 0.61(4499.0-skateboard) 0.45(5789.0-surfboard) 0.69(3894.0-tennis racket) 0.44(19384.0-bottle) 0.46(6733.0-wine glass) 0.37(19816.0-cup) 0.30(4594.0-fork) 0.25(6448.0-knife) 0.21(5697.0-spoon) 0.38(13834.0-bowl) 0.28(9007.0-banana) 0.22(4854.0-apple) 0.36(3791.0-sandwich) 0.28(5972.0-orange) 0.39(6051.0-broccoli) 0.26(6441.0-carrot) 0.33(2157.0-hot dog) 0.56(4798.0-pizza) 0.45(5717.0-donut) 0.39(5005.0-cake) 0.32(32436.0-chair) 0.42(5252.0-couch) 0.38(7509.0-potted plant) 0.53(3324.0-bed) 0.37(12834.0-dining table) 0.74(3286.0-toilet) 0.63(4738.0-tv) 0.60(4367.0-laptop) 0.51(1893.0-mouse) 0.37(4790.0-remote) 0.49(2372.0-keyboard) 0.30(5478.0-cell phone) 0.59(1333.0-microwave) 0.38(2958.0-oven) 0.10(154.0-toaster) 0.48(4639.0-sink) 0.50(2166.0-refrigerator) 0.20(18230.0-book) 0.62(4943.0-clock) 0.39(6086.0-vase) 0.26(1288.0-scissors) 0.49(4234.0-teddy bear) 0.00(0.0-hair drier) 0.24(1440.0-toothbrush)
2021-11-01 05:23:28,613 - mmdet - INFO - pseudo gt: 275306.0 7642.0 45978.0 9475.0 5475.0 6654.0 4714.0 10514.0 10897.0 13526.0 1963.0 2117.0 1333.0 10756.0 10908.0 4932.0 5932.0 6694.0 10336.0 8610.0 5992.0 1415.0 5753.0 5409.0 9183.0 12110.0 13012.0 6906.0 6721.0 2821.0 6871.0 2906.0 6564.0 9570.0 3400.0 4030.0 6014.0 6233.0 5204.0 25730.0 8637.0 21769.0 5819.0 8406.0 6454.0 14856.0 9612.0 5923.0 4616.0 6479.0 7966.0 8195.0 3064.0 6143.0 7583.0 6820.0 41157.0 6196.0 9261.0 4492.0 16935.0 4515.0 6282.0 5327.0 2374.0 5976.0 2988.0 6708.0 1825.0 3502.0 219.0 5979.0 2925.0 25926.0 6922.0 6946.0 1470.0 4858.0 212.0 1958.0
2021-11-01 05:23:28,613 - mmdet - INFO - pseudo mining: 68442.0 310.0 7386.0 992.0 1085.0 1637.0 845.0 146.0 380.0 1815.0 815.0 1084.0 119.0 60.0 522.0 943.0 817.0 1386.0 2088.0 1484.0 2416.0 508.0 2559.0 2663.0 33.0 885.0 39.0 628.0 249.0 1051.0 159.0 22.0 1957.0 1988.0 319.0 977.0 1245.0 410.0 1587.0 2557.0 792.0 2461.0 34.0 56.0 38.0 1314.0 177.0 33.0 135.0 130.0 522.0 154.0 30.0 1100.0 1424.0 199.0 454.0 136.0 539.0 157.0 271.0 1848.0 2100.0 1052.0 814.0 339.0 397.0 465.0 397.0 259.0 0.0 1080.0 278.0 74.0 3497.0 673.0 14.0 463.0 0.0 22.0
2021-11-01 05:23:30,441 - mmdet - INFO - Iter [31500/40000]	lr: 2.000e-02, eta: 4:34:35, time: 1.718, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0484, loss_cls: 0.1971, acc: 93.0264, loss_bbox: 0.2452, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1856, acc_unlabeled: 92.4725, loss_bbox_unlabeled: 0.1841, losses_cls_ig_unlabeled: 0.1814, pseudo_num: 1.4910, pseudo_num_ig: 5.6651, pseudo_num_mining: 1.0936, pseudo_num(acc): 0.8889, pseudo_num ig(acc): 0.4928, loss: 1.2547
2021-11-01 05:24:56,425 - mmdet - INFO - Iter [31550/40000]	lr: 2.000e-02, eta: 4:32:55, time: 1.722, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0459, loss_cls: 0.1965, acc: 93.0574, loss_bbox: 0.2442, loss_rpn_cls_unlabeled: 0.0897, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1846, acc_unlabeled: 92.4574, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1794, pseudo_num: 1.4911, pseudo_num_ig: 5.6656, pseudo_num_mining: 1.0940, pseudo_num(acc): 0.8889, pseudo_num ig(acc): 0.4928, loss: 1.2485
2021-11-01 05:26:22,893 - mmdet - INFO - Iter [31600/40000]	lr: 2.000e-02, eta: 4:31:16, time: 1.727, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0487, loss_cls: 0.2037, acc: 92.8163, loss_bbox: 0.2496, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0970, loss_cls_unlabeled: 0.1816, acc_unlabeled: 92.3196, loss_bbox_unlabeled: 0.1788, losses_cls_ig_unlabeled: 0.1825, pseudo_num: 1.4911, pseudo_num_ig: 5.6660, pseudo_num_mining: 1.0943, pseudo_num(acc): 0.8889, pseudo_num ig(acc): 0.4928, loss: 1.2587
2021-11-01 05:27:49,482 - mmdet - INFO - Iter [31650/40000]	lr: 2.000e-02, eta: 4:29:36, time: 1.731, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0435, loss_cls: 0.1838, acc: 93.4231, loss_bbox: 0.2336, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1847, acc_unlabeled: 92.4575, loss_bbox_unlabeled: 0.1800, losses_cls_ig_unlabeled: 0.1813, pseudo_num: 1.4912, pseudo_num_ig: 5.6661, pseudo_num_mining: 1.0946, pseudo_num(acc): 0.8890, pseudo_num ig(acc): 0.4928, loss: 1.2132
2021-11-01 05:29:14,270 - mmdet - INFO - Iter [31700/40000]	lr: 2.000e-02, eta: 4:27:56, time: 1.697, data_time: 0.034, memory: 26490, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0474, loss_cls: 0.2013, acc: 93.0044, loss_bbox: 0.2444, loss_rpn_cls_unlabeled: 0.0894, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1870, acc_unlabeled: 92.3387, loss_bbox_unlabeled: 0.1850, losses_cls_ig_unlabeled: 0.1795, pseudo_num: 1.4913, pseudo_num_ig: 5.6663, pseudo_num_mining: 1.0948, pseudo_num(acc): 0.8890, pseudo_num ig(acc): 0.4928, loss: 1.2584
2021-11-01 05:30:40,248 - mmdet - INFO - Iter [31750/40000]	lr: 2.000e-02, eta: 4:26:16, time: 1.720, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0483, loss_cls: 0.2003, acc: 92.9016, loss_bbox: 0.2479, loss_rpn_cls_unlabeled: 0.0929, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1873, acc_unlabeled: 92.2523, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1808, pseudo_num: 1.4914, pseudo_num_ig: 5.6668, pseudo_num_mining: 1.0952, pseudo_num(acc): 0.8890, pseudo_num ig(acc): 0.4928, loss: 1.2686
2021-11-01 05:32:06,059 - mmdet - INFO - Iter [31800/40000]	lr: 2.000e-02, eta: 4:24:37, time: 1.717, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0493, loss_cls: 0.2047, acc: 92.8505, loss_bbox: 0.2483, loss_rpn_cls_unlabeled: 0.0923, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1897, acc_unlabeled: 92.4819, loss_bbox_unlabeled: 0.1863, losses_cls_ig_unlabeled: 0.1772, pseudo_num: 1.4915, pseudo_num_ig: 5.6671, pseudo_num_mining: 1.0955, pseudo_num(acc): 0.8890, pseudo_num ig(acc): 0.4927, loss: 1.2764
2021-11-01 05:33:31,355 - mmdet - INFO - Iter [31850/40000]	lr: 2.000e-02, eta: 4:22:57, time: 1.707, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0449, loss_cls: 0.1976, acc: 92.9683, loss_bbox: 0.2444, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0993, loss_cls_unlabeled: 0.1904, acc_unlabeled: 91.9680, loss_bbox_unlabeled: 0.1864, losses_cls_ig_unlabeled: 0.1904, pseudo_num: 1.4916, pseudo_num_ig: 5.6676, pseudo_num_mining: 1.0958, pseudo_num(acc): 0.8890, pseudo_num ig(acc): 0.4927, loss: 1.2720
2021-11-01 05:34:56,398 - mmdet - INFO - Iter [31900/40000]	lr: 2.000e-02, eta: 4:21:17, time: 1.701, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0480, loss_cls: 0.2038, acc: 92.7260, loss_bbox: 0.2561, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1843, acc_unlabeled: 92.2612, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1767, pseudo_num: 1.4917, pseudo_num_ig: 5.6682, pseudo_num_mining: 1.0961, pseudo_num(acc): 0.8890, pseudo_num ig(acc): 0.4927, loss: 1.2671
2021-11-01 05:36:22,349 - mmdet - INFO - Iter [31950/40000]	lr: 2.000e-02, eta: 4:19:38, time: 1.717, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0498, loss_cls: 0.2030, acc: 92.8684, loss_bbox: 0.2505, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1780, acc_unlabeled: 92.7031, loss_bbox_unlabeled: 0.1801, losses_cls_ig_unlabeled: 0.1711, pseudo_num: 1.4918, pseudo_num_ig: 5.6681, pseudo_num_mining: 1.0963, pseudo_num(acc): 0.8890, pseudo_num ig(acc): 0.4927, loss: 1.2411
2021-11-01 05:37:46,449 - mmdet - INFO - pseudo pos: 0.98(59475.0-person) 0.94(1380.0-bicycle) 0.94(9913.0-car) 0.98(1795.0-motorcycle) 0.99(1096.0-airplane) 1.00(1174.0-bus) 0.99(1135.0-train) 0.79(2386.0-truck) 0.79(2470.0-boat) 0.92(3167.0-traffic light) 0.99(359.0-fire hydrant) 0.99(402.0-stop sign) 0.95(287.0-parking meter) 0.78(2305.0-bench) 0.94(2256.0-bird) 0.98(1210.0-cat) 0.98(1154.0-dog) 0.99(1409.0-horse) 0.95(2283.0-sheep) 0.96(1757.0-cow) 1.00(1081.0-elephant) 0.99(335.0-bear) 0.99(1116.0-zebra) 0.99(1138.0-giraffe) 0.61(1926.0-backpack) 0.86(2641.0-umbrella) 0.57(2517.0-handbag) 0.93(1151.0-tie) 0.84(1210.0-suitcase) 0.99(544.0-frisbee) 0.78(1412.0-skis) 0.82(548.0-snowboard) 0.98(1423.0-sports ball) 0.91(1887.0-kite) 0.91(705.0-baseball bat) 0.97(745.0-baseball glove) 0.99(1179.0-skateboard) 0.91(1561.0-surfboard) 0.99(924.0-tennis racket) 0.89(4873.0-bottle) 0.96(1640.0-wine glass) 0.91(4993.0-cup) 0.84(1064.0-fork) 0.60(1734.0-knife) 0.56(1352.0-spoon) 0.83(3559.0-bowl) 0.71(2214.0-banana) 0.57(1109.0-apple) 0.84(1090.0-sandwich) 0.67(1578.0-orange) 0.72(1581.0-broccoli) 0.60(1700.0-carrot) 0.83(609.0-hot dog) 0.96(1326.0-pizza) 0.93(1584.0-donut) 0.89(1286.0-cake) 0.82(8549.0-chair) 0.86(1380.0-couch) 0.78(2034.0-potted plant) 0.96(995.0-bed) 0.75(4398.0-dining table) 0.96(760.0-toilet) 0.98(1150.0-tv) 0.98(1073.0-laptop) 0.98(478.0-mouse) 0.80(1079.0-remote) 0.99(614.0-keyboard) 0.85(1508.0-cell phone) 0.99(319.0-microwave) 0.91(847.0-oven) 0.33(51.0-toaster) 0.86(1185.0-sink) 0.98(601.0-refrigerator) 0.38(4628.0-book) 0.99(1452.0-clock) 0.90(1601.0-vase) 0.78(346.0-scissors) 0.94(1078.0-teddy bear) 0.00(2.0-hair drier) 0.59(369.0-toothbrush)
2021-11-01 05:37:46,449 - mmdet - INFO - pseudo ig: 0.65(217651.0-person) 0.45(5456.0-bicycle) 0.51(38459.0-car) 0.59(7357.0-motorcycle) 0.72(3829.0-airplane) 0.69(4767.0-bus) 0.63(3820.0-train) 0.36(9272.0-truck) 0.36(9216.0-boat) 0.39(12017.0-traffic light) 0.74(1532.0-fire hydrant) 0.65(1605.0-stop sign) 0.37(1139.0-parking meter) 0.23(8409.0-bench) 0.35(9017.0-bird) 0.75(3993.0-cat) 0.68(4260.0-dog) 0.63(5227.0-horse) 0.53(8582.0-sheep) 0.54(7299.0-cow) 0.81(4485.0-elephant) 0.71(1169.0-bear) 0.81(4333.0-zebra) 0.89(3926.0-giraffe) 0.24(7635.0-backpack) 0.43(10406.0-umbrella) 0.22(10499.0-handbag) 0.47(4526.0-tie) 0.42(4479.0-suitcase) 0.64(2119.0-frisbee) 0.37(5309.0-skis) 0.36(2165.0-snowboard) 0.41(5356.0-sports ball) 0.49(6904.0-kite) 0.42(2929.0-baseball bat) 0.49(2881.0-baseball glove) 0.61(4565.0-skateboard) 0.45(5889.0-surfboard) 0.69(3946.0-tennis racket) 0.44(19755.0-bottle) 0.47(6815.0-wine glass) 0.37(20103.0-cup) 0.30(4669.0-fork) 0.26(6536.0-knife) 0.21(5777.0-spoon) 0.38(14049.0-bowl) 0.28(9163.0-banana) 0.22(4931.0-apple) 0.36(3872.0-sandwich) 0.27(6074.0-orange) 0.39(6139.0-broccoli) 0.26(6536.0-carrot) 0.33(2184.0-hot dog) 0.56(4859.0-pizza) 0.45(5756.0-donut) 0.40(5093.0-cake) 0.32(32938.0-chair) 0.42(5324.0-couch) 0.38(7644.0-potted plant) 0.53(3377.0-bed) 0.37(13027.0-dining table) 0.74(3343.0-toilet) 0.63(4808.0-tv) 0.59(4427.0-laptop) 0.52(1932.0-mouse) 0.37(4870.0-remote) 0.49(2413.0-keyboard) 0.30(5604.0-cell phone) 0.60(1354.0-microwave) 0.38(3018.0-oven) 0.10(161.0-toaster) 0.48(4725.0-sink) 0.50(2189.0-refrigerator) 0.20(18501.0-book) 0.62(5034.0-clock) 0.39(6215.0-vase) 0.26(1327.0-scissors) 0.49(4281.0-teddy bear) 0.00(0.0-hair drier) 0.24(1458.0-toothbrush)
2021-11-01 05:37:46,449 - mmdet - INFO - pseudo gt: 279161.0 7734.0 46791.0 9596.0 5529.0 6772.0 4780.0 10679.0 11130.0 13750.0 1991.0 2146.0 1346.0 10913.0 11046.0 5011.0 6009.0 6798.0 10432.0 8714.0 6063.0 1442.0 5906.0 5487.0 9326.0 12221.0 13204.0 7021.0 6804.0 2865.0 6981.0 2966.0 6659.0 9725.0 3454.0 4088.0 6089.0 6342.0 5286.0 26159.0 8750.0 22068.0 5905.0 8503.0 6560.0 15078.0 9787.0 6007.0 4710.0 6587.0 8131.0 8299.0 3089.0 6224.0 7639.0 6950.0 41751.0 6286.0 9377.0 4555.0 17190.0 4602.0 6373.0 5403.0 2429.0 6072.0 3041.0 6816.0 1848.0 3560.0 220.0 6095.0 2963.0 26319.0 7039.0 7077.0 1500.0 4908.0 215.0 1995.0
2021-11-01 05:37:46,449 - mmdet - INFO - pseudo mining: 69496.0 316.0 7500.0 1016.0 1100.0 1674.0 864.0 147.0 384.0 1850.0 826.0 1100.0 121.0 61.0 531.0 972.0 836.0 1415.0 2103.0 1508.0 2451.0 519.0 2631.0 2698.0 33.0 895.0 40.0 640.0 254.0 1069.0 161.0 22.0 1985.0 2037.0 324.0 995.0 1272.0 422.0 1617.0 2629.0 804.0 2505.0 35.0 58.0 39.0 1353.0 183.0 33.0 137.0 137.0 544.0 158.0 30.0 1119.0 1432.0 209.0 472.0 138.0 551.0 160.0 275.0 1897.0 2133.0 1064.0 838.0 344.0 406.0 473.0 405.0 267.0 0.0 1110.0 284.0 76.0 3563.0 704.0 14.0 473.0 0.0 22.0
2021-11-01 05:38:42,622 - mmdet - INFO - Evaluating bbox...
2021-11-01 05:39:52,825 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.457 | bicycle      | 0.221 | car            | 0.367 |
| motorcycle    | 0.338 | airplane     | 0.479 | bus            | 0.519 |
| train         | 0.504 | truck        | 0.241 | boat           | 0.206 |
| traffic light | 0.234 | fire hydrant | 0.558 | stop sign      | 0.523 |
| parking meter | 0.414 | bench        | 0.160 | bird           | 0.269 |
| cat           | 0.497 | dog          | 0.443 | horse          | 0.464 |
| sheep         | 0.375 | cow          | 0.438 | elephant       | 0.497 |
| bear          | 0.554 | zebra        | 0.550 | giraffe        | 0.574 |
| backpack      | 0.100 | umbrella     | 0.261 | handbag        | 0.079 |
| tie           | 0.203 | suitcase     | 0.191 | frisbee        | 0.522 |
| skis          | 0.164 | snowboard    | 0.213 | sports ball    | 0.382 |
| kite          | 0.314 | baseball bat | 0.197 | baseball glove | 0.295 |
| skateboard    | 0.387 | surfboard    | 0.278 | tennis racket  | 0.344 |
| bottle        | 0.299 | wine glass   | 0.288 | cup            | 0.327 |
| fork          | 0.182 | knife        | 0.095 | spoon          | 0.093 |
| bowl          | 0.316 | banana       | 0.169 | apple          | 0.118 |
| sandwich      | 0.219 | orange       | 0.222 | broccoli       | 0.165 |
| carrot        | 0.108 | hot dog      | 0.167 | pizza          | 0.381 |
| donut         | 0.282 | cake         | 0.231 | chair          | 0.169 |
| couch         | 0.330 | potted plant | 0.176 | bed            | 0.339 |
| dining table  | 0.171 | toilet       | 0.462 | tv             | 0.457 |
| laptop        | 0.440 | mouse        | 0.498 | remote         | 0.188 |
| keyboard      | 0.397 | cell phone   | 0.261 | microwave      | 0.436 |
| oven          | 0.234 | toaster      | 0.289 | sink           | 0.257 |
| refrigerator  | 0.384 | book         | 0.061 | clock          | 0.445 |
| vase          | 0.276 | scissors     | 0.184 | teddy bear     | 0.321 |
| hair drier    | 0.004 | toothbrush   | 0.073 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 05:40:48,948 - mmdet - INFO - Evaluating bbox...
2021-11-01 05:42:00,209 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.484 | bicycle      | 0.239 | car            | 0.395 |
| motorcycle    | 0.366 | airplane     | 0.551 | bus            | 0.578 |
| train         | 0.550 | truck        | 0.273 | boat           | 0.218 |
| traffic light | 0.254 | fire hydrant | 0.583 | stop sign      | 0.581 |
| parking meter | 0.445 | bench        | 0.179 | bird           | 0.291 |
| cat           | 0.536 | dog          | 0.509 | horse          | 0.489 |
| sheep         | 0.425 | cow          | 0.484 | elephant       | 0.554 |
| bear          | 0.618 | zebra        | 0.581 | giraffe        | 0.619 |
| backpack      | 0.121 | umbrella     | 0.300 | handbag        | 0.097 |
| tie           | 0.247 | suitcase     | 0.245 | frisbee        | 0.572 |
| skis          | 0.163 | snowboard    | 0.250 | sports ball    | 0.399 |
| kite          | 0.336 | baseball bat | 0.216 | baseball glove | 0.305 |
| skateboard    | 0.423 | surfboard    | 0.297 | tennis racket  | 0.371 |
| bottle        | 0.335 | wine glass   | 0.307 | cup            | 0.355 |
| fork          | 0.233 | knife        | 0.115 | spoon          | 0.105 |
| bowl          | 0.368 | banana       | 0.185 | apple          | 0.134 |
| sandwich      | 0.276 | orange       | 0.251 | broccoli       | 0.189 |
| carrot        | 0.134 | hot dog      | 0.215 | pizza          | 0.419 |
| donut         | 0.336 | cake         | 0.259 | chair          | 0.204 |
| couch         | 0.345 | potted plant | 0.198 | bed            | 0.354 |
| dining table  | 0.204 | toilet       | 0.514 | tv             | 0.506 |
| laptop        | 0.504 | mouse        | 0.552 | remote         | 0.212 |
| keyboard      | 0.413 | cell phone   | 0.301 | microwave      | 0.473 |
| oven          | 0.287 | toaster      | 0.384 | sink           | 0.292 |
| refrigerator  | 0.430 | book         | 0.068 | clock          | 0.453 |
| vase          | 0.330 | scissors     | 0.213 | teddy bear     | 0.364 |
| hair drier    | 0.002 | toothbrush   | 0.130 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 05:43:27,718 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 05:43:27,718 - mmdet - INFO - Iter [32000/40000]	lr: 2.000e-02, eta: 4:17:58, time: 1.714, data_time: 0.031, memory: 26490, bbox_mAP: 0.3390, bbox_mAP_50: 0.5410, bbox_mAP_75: 0.3640, bbox_mAP_s: 0.2000, bbox_mAP_m: 0.3700, bbox_mAP_l: 0.4420, bbox_mAP_copypaste: 0.339 0.541 0.364 0.200 0.370 0.442, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0476, loss_cls: 0.1992, acc: 92.9441, loss_bbox: 0.2501, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.0978, loss_cls_unlabeled: 0.1849, acc_unlabeled: 92.4243, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4919, pseudo_num_ig: 5.6682, pseudo_num_mining: 1.0966, pseudo_num(acc): 0.8891, pseudo_num ig(acc): 0.4927, loss: 1.2627
2021-11-01 05:44:51,935 - mmdet - INFO - Iter [32050/40000]	lr: 2.000e-02, eta: 4:17:42, time: 8.481, data_time: 6.824, memory: 26490, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0442, loss_cls: 0.1935, acc: 93.2394, loss_bbox: 0.2369, loss_rpn_cls_unlabeled: 0.0902, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1927, acc_unlabeled: 92.2814, loss_bbox_unlabeled: 0.1944, losses_cls_ig_unlabeled: 0.1832, pseudo_num: 1.4920, pseudo_num_ig: 5.6684, pseudo_num_mining: 1.0970, pseudo_num(acc): 0.8891, pseudo_num ig(acc): 0.4927, loss: 1.2594
2021-11-01 05:46:15,318 - mmdet - INFO - Iter [32100/40000]	lr: 2.000e-02, eta: 4:16:02, time: 1.665, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0453, loss_cls: 0.1960, acc: 93.1084, loss_bbox: 0.2431, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1865, acc_unlabeled: 92.4418, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1829, pseudo_num: 1.4921, pseudo_num_ig: 5.6686, pseudo_num_mining: 1.0974, pseudo_num(acc): 0.8891, pseudo_num ig(acc): 0.4927, loss: 1.2509
2021-11-01 05:47:38,254 - mmdet - INFO - Iter [32150/40000]	lr: 2.000e-02, eta: 4:14:21, time: 1.658, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0488, loss_cls: 0.2000, acc: 92.8872, loss_bbox: 0.2472, loss_rpn_cls_unlabeled: 0.0895, loss_rpn_bbox_unlabeled: 0.0912, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.4446, loss_bbox_unlabeled: 0.1861, losses_cls_ig_unlabeled: 0.1810, pseudo_num: 1.4922, pseudo_num_ig: 5.6689, pseudo_num_mining: 1.0978, pseudo_num(acc): 0.8891, pseudo_num ig(acc): 0.4927, loss: 1.2649
2021-11-01 05:49:02,342 - mmdet - INFO - Iter [32200/40000]	lr: 2.000e-02, eta: 4:12:41, time: 1.682, data_time: 0.034, memory: 26490, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0464, loss_cls: 0.1987, acc: 92.9373, loss_bbox: 0.2470, loss_rpn_cls_unlabeled: 0.0909, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1839, acc_unlabeled: 92.5128, loss_bbox_unlabeled: 0.1841, losses_cls_ig_unlabeled: 0.1787, pseudo_num: 1.4922, pseudo_num_ig: 5.6692, pseudo_num_mining: 1.0982, pseudo_num(acc): 0.8891, pseudo_num ig(acc): 0.4927, loss: 1.2548
2021-11-01 05:50:29,219 - mmdet - INFO - Iter [32250/40000]	lr: 2.000e-02, eta: 4:11:01, time: 1.729, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0462, loss_cls: 0.1993, acc: 93.0159, loss_bbox: 0.2466, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0962, loss_cls_unlabeled: 0.1976, acc_unlabeled: 92.2153, loss_bbox_unlabeled: 0.1961, losses_cls_ig_unlabeled: 0.1881, pseudo_num: 1.4923, pseudo_num_ig: 5.6695, pseudo_num_mining: 1.0986, pseudo_num(acc): 0.8891, pseudo_num ig(acc): 0.4927, loss: 1.2883
2021-11-01 05:51:54,540 - mmdet - INFO - Iter [32300/40000]	lr: 2.000e-02, eta: 4:09:21, time: 1.716, data_time: 0.038, memory: 26490, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0472, loss_cls: 0.2029, acc: 92.9102, loss_bbox: 0.2489, loss_rpn_cls_unlabeled: 0.0870, loss_rpn_bbox_unlabeled: 0.0962, loss_cls_unlabeled: 0.1858, acc_unlabeled: 92.3555, loss_bbox_unlabeled: 0.1859, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.4924, pseudo_num_ig: 5.6699, pseudo_num_mining: 1.0991, pseudo_num(acc): 0.8891, pseudo_num ig(acc): 0.4927, loss: 1.2663
2021-11-01 05:53:19,687 - mmdet - INFO - Iter [32350/40000]	lr: 2.000e-02, eta: 4:07:41, time: 1.701, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0476, loss_cls: 0.1971, acc: 93.0653, loss_bbox: 0.2468, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1893, acc_unlabeled: 92.4801, loss_bbox_unlabeled: 0.1849, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4924, pseudo_num_ig: 5.6701, pseudo_num_mining: 1.0995, pseudo_num(acc): 0.8892, pseudo_num ig(acc): 0.4927, loss: 1.2615
2021-11-01 05:54:44,517 - mmdet - INFO - Iter [32400/40000]	lr: 2.000e-02, eta: 4:06:01, time: 1.698, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0456, loss_cls: 0.1991, acc: 92.9688, loss_bbox: 0.2468, loss_rpn_cls_unlabeled: 0.0902, loss_rpn_bbox_unlabeled: 0.0993, loss_cls_unlabeled: 0.1944, acc_unlabeled: 92.3568, loss_bbox_unlabeled: 0.1990, losses_cls_ig_unlabeled: 0.1831, pseudo_num: 1.4925, pseudo_num_ig: 5.6706, pseudo_num_mining: 1.1000, pseudo_num(acc): 0.8892, pseudo_num ig(acc): 0.4927, loss: 1.2877
2021-11-01 05:56:07,329 - mmdet - INFO - Iter [32450/40000]	lr: 2.000e-02, eta: 4:04:21, time: 1.656, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0471, loss_cls: 0.1924, acc: 93.1115, loss_bbox: 0.2453, loss_rpn_cls_unlabeled: 0.0787, loss_rpn_bbox_unlabeled: 0.0885, loss_cls_unlabeled: 0.1793, acc_unlabeled: 92.7772, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1722, pseudo_num: 1.4925, pseudo_num_ig: 5.6707, pseudo_num_mining: 1.1005, pseudo_num(acc): 0.8892, pseudo_num ig(acc): 0.4928, loss: 1.2141
2021-11-01 05:57:30,504 - mmdet - INFO - pseudo pos: 0.98(60448.0-person) 0.94(1411.0-bicycle) 0.94(10058.0-car) 0.99(1818.0-motorcycle) 0.99(1111.0-airplane) 1.00(1183.0-bus) 0.99(1160.0-train) 0.79(2421.0-truck) 0.79(2527.0-boat) 0.92(3194.0-traffic light) 0.99(363.0-fire hydrant) 0.99(404.0-stop sign) 0.95(292.0-parking meter) 0.78(2333.0-bench) 0.94(2291.0-bird) 0.98(1231.0-cat) 0.98(1172.0-dog) 0.99(1435.0-horse) 0.95(2296.0-sheep) 0.96(1777.0-cow) 1.00(1096.0-elephant) 0.99(341.0-bear) 0.99(1135.0-zebra) 0.99(1163.0-giraffe) 0.62(1955.0-backpack) 0.86(2693.0-umbrella) 0.57(2562.0-handbag) 0.93(1164.0-tie) 0.84(1215.0-suitcase) 0.99(554.0-frisbee) 0.78(1430.0-skis) 0.83(563.0-snowboard) 0.98(1441.0-sports ball) 0.91(1946.0-kite) 0.92(719.0-baseball bat) 0.97(760.0-baseball glove) 0.99(1203.0-skateboard) 0.92(1583.0-surfboard) 0.99(943.0-tennis racket) 0.89(4947.0-bottle) 0.96(1678.0-wine glass) 0.91(5072.0-cup) 0.84(1083.0-fork) 0.60(1762.0-knife) 0.56(1377.0-spoon) 0.83(3624.0-bowl) 0.71(2249.0-banana) 0.58(1131.0-apple) 0.84(1110.0-sandwich) 0.68(1610.0-orange) 0.72(1600.0-broccoli) 0.60(1715.0-carrot) 0.83(614.0-hot dog) 0.96(1349.0-pizza) 0.93(1605.0-donut) 0.89(1300.0-cake) 0.82(8674.0-chair) 0.86(1403.0-couch) 0.78(2069.0-potted plant) 0.96(1013.0-bed) 0.75(4469.0-dining table) 0.96(775.0-toilet) 0.98(1166.0-tv) 0.98(1081.0-laptop) 0.98(484.0-mouse) 0.81(1100.0-remote) 0.99(622.0-keyboard) 0.85(1544.0-cell phone) 0.99(323.0-microwave) 0.91(851.0-oven) 0.35(52.0-toaster) 0.86(1197.0-sink) 0.98(609.0-refrigerator) 0.38(4694.0-book) 0.98(1464.0-clock) 0.90(1618.0-vase) 0.77(358.0-scissors) 0.93(1118.0-teddy bear) 0.00(3.0-hair drier) 0.59(376.0-toothbrush)
2021-11-01 05:57:30,504 - mmdet - INFO - pseudo ig: 0.65(221016.0-person) 0.45(5538.0-bicycle) 0.51(38962.0-car) 0.59(7468.0-motorcycle) 0.72(3905.0-airplane) 0.69(4830.0-bus) 0.63(3888.0-train) 0.36(9406.0-truck) 0.36(9360.0-boat) 0.39(12177.0-traffic light) 0.74(1547.0-fire hydrant) 0.65(1643.0-stop sign) 0.38(1165.0-parking meter) 0.23(8527.0-bench) 0.35(9130.0-bird) 0.74(4052.0-cat) 0.68(4329.0-dog) 0.64(5298.0-horse) 0.53(8707.0-sheep) 0.54(7412.0-cow) 0.81(4534.0-elephant) 0.70(1179.0-bear) 0.81(4430.0-zebra) 0.89(4002.0-giraffe) 0.24(7754.0-backpack) 0.43(10551.0-umbrella) 0.22(10654.0-handbag) 0.47(4604.0-tie) 0.42(4541.0-suitcase) 0.64(2146.0-frisbee) 0.37(5425.0-skis) 0.36(2202.0-snowboard) 0.41(5436.0-sports ball) 0.48(7067.0-kite) 0.42(2970.0-baseball bat) 0.49(2916.0-baseball glove) 0.61(4661.0-skateboard) 0.45(5972.0-surfboard) 0.69(4010.0-tennis racket) 0.44(20095.0-bottle) 0.47(6894.0-wine glass) 0.37(20461.0-cup) 0.30(4755.0-fork) 0.26(6642.0-knife) 0.21(5880.0-spoon) 0.38(14291.0-bowl) 0.28(9326.0-banana) 0.22(5000.0-apple) 0.36(3947.0-sandwich) 0.28(6204.0-orange) 0.39(6218.0-broccoli) 0.26(6617.0-carrot) 0.33(2232.0-hot dog) 0.56(4920.0-pizza) 0.45(5822.0-donut) 0.40(5198.0-cake) 0.32(33433.0-chair) 0.42(5396.0-couch) 0.38(7761.0-potted plant) 0.53(3417.0-bed) 0.37(13248.0-dining table) 0.73(3404.0-toilet) 0.63(4878.0-tv) 0.60(4495.0-laptop) 0.52(1968.0-mouse) 0.37(4963.0-remote) 0.50(2458.0-keyboard) 0.30(5697.0-cell phone) 0.60(1373.0-microwave) 0.38(3061.0-oven) 0.10(168.0-toaster) 0.48(4787.0-sink) 0.49(2217.0-refrigerator) 0.20(18777.0-book) 0.62(5080.0-clock) 0.39(6307.0-vase) 0.26(1362.0-scissors) 0.49(4374.0-teddy bear) 0.00(0.0-hair drier) 0.25(1497.0-toothbrush)
2021-11-01 05:57:30,504 - mmdet - INFO - pseudo gt: 283560.0 7848.0 47467.0 9739.0 5631.0 6867.0 4864.0 10827.0 11341.0 13905.0 2011.0 2178.0 1377.0 11060.0 11161.0 5088.0 6121.0 6890.0 10592.0 8866.0 6138.0 1457.0 6051.0 5596.0 9475.0 12388.0 13400.0 7173.0 6919.0 2906.0 7107.0 3018.0 6782.0 9935.0 3521.0 4156.0 6219.0 6421.0 5361.0 26523.0 8888.0 22453.0 6033.0 8654.0 6680.0 15333.0 9976.0 6114.0 4780.0 6711.0 8240.0 8394.0 3159.0 6329.0 7745.0 7066.0 42305.0 6377.0 9508.0 4631.0 17434.0 4672.0 6465.0 5485.0 2476.0 6166.0 3098.0 6927.0 1873.0 3596.0 222.0 6168.0 3000.0 26742.0 7122.0 7173.0 1542.0 5020.0 219.0 2029.0
2021-11-01 05:57:30,504 - mmdet - INFO - pseudo mining: 70788.0 323.0 7617.0 1047.0 1125.0 1709.0 894.0 151.0 389.0 1877.0 835.0 1122.0 124.0 65.0 539.0 984.0 860.0 1444.0 2141.0 1558.0 2488.0 522.0 2713.0 2757.0 33.0 904.0 40.0 653.0 261.0 1083.0 165.0 22.0 2020.0 2083.0 328.0 1011.0 1309.0 426.0 1639.0 2682.0 815.0 2571.0 35.0 65.0 44.0 1385.0 190.0 34.0 142.0 138.0 554.0 164.0 35.0 1140.0 1447.0 218.0 481.0 140.0 557.0 170.0 277.0 1926.0 2175.0 1087.0 860.0 349.0 423.0 488.0 417.0 276.0 0.0 1133.0 289.0 78.0 3601.0 713.0 14.0 480.0 0.0 23.0
2021-11-01 05:57:32,049 - mmdet - INFO - Iter [32500/40000]	lr: 2.000e-02, eta: 4:02:41, time: 1.694, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0486, loss_cls: 0.1992, acc: 92.9288, loss_bbox: 0.2467, loss_rpn_cls_unlabeled: 0.0894, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.5625, loss_bbox_unlabeled: 0.1775, losses_cls_ig_unlabeled: 0.1816, pseudo_num: 1.4924, pseudo_num_ig: 5.6705, pseudo_num_mining: 1.1009, pseudo_num(acc): 0.8892, pseudo_num ig(acc): 0.4928, loss: 1.2540
2021-11-01 05:58:55,949 - mmdet - INFO - Iter [32550/40000]	lr: 2.000e-02, eta: 4:01:00, time: 1.677, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0476, loss_cls: 0.1993, acc: 92.9324, loss_bbox: 0.2471, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1897, acc_unlabeled: 92.3511, loss_bbox_unlabeled: 0.1870, losses_cls_ig_unlabeled: 0.1810, pseudo_num: 1.4924, pseudo_num_ig: 5.6710, pseudo_num_mining: 1.1014, pseudo_num(acc): 0.8892, pseudo_num ig(acc): 0.4928, loss: 1.2671
2021-11-01 06:00:20,870 - mmdet - INFO - Iter [32600/40000]	lr: 2.000e-02, eta: 3:59:21, time: 1.700, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0481, loss_cls: 0.2009, acc: 92.9573, loss_bbox: 0.2485, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1934, acc_unlabeled: 92.4044, loss_bbox_unlabeled: 0.1913, losses_cls_ig_unlabeled: 0.1823, pseudo_num: 1.4925, pseudo_num_ig: 5.6714, pseudo_num_mining: 1.1019, pseudo_num(acc): 0.8892, pseudo_num ig(acc): 0.4928, loss: 1.2758
2021-11-01 06:01:45,912 - mmdet - INFO - Iter [32650/40000]	lr: 2.000e-02, eta: 3:57:41, time: 1.697, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0484, loss_cls: 0.2001, acc: 92.9701, loss_bbox: 0.2465, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.0872, loss_cls_unlabeled: 0.1828, acc_unlabeled: 92.7939, loss_bbox_unlabeled: 0.1831, losses_cls_ig_unlabeled: 0.1787, pseudo_num: 1.4924, pseudo_num_ig: 5.6715, pseudo_num_mining: 1.1024, pseudo_num(acc): 0.8892, pseudo_num ig(acc): 0.4928, loss: 1.2396
2021-11-01 06:03:10,665 - mmdet - INFO - Iter [32700/40000]	lr: 2.000e-02, eta: 3:56:01, time: 1.700, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0464, loss_cls: 0.1996, acc: 92.9518, loss_bbox: 0.2490, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1946, acc_unlabeled: 92.4585, loss_bbox_unlabeled: 0.1932, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.4923, pseudo_num_ig: 5.6712, pseudo_num_mining: 1.1028, pseudo_num(acc): 0.8892, pseudo_num ig(acc): 0.4928, loss: 1.2737
2021-11-01 06:04:36,197 - mmdet - INFO - Iter [32750/40000]	lr: 2.000e-02, eta: 3:54:22, time: 1.710, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0474, loss_cls: 0.1991, acc: 92.9275, loss_bbox: 0.2458, loss_rpn_cls_unlabeled: 0.0779, loss_rpn_bbox_unlabeled: 0.0887, loss_cls_unlabeled: 0.1857, acc_unlabeled: 92.5712, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1811, pseudo_num: 1.4922, pseudo_num_ig: 5.6713, pseudo_num_mining: 1.1032, pseudo_num(acc): 0.8893, pseudo_num ig(acc): 0.4928, loss: 1.2378
2021-11-01 06:05:59,157 - mmdet - INFO - Iter [32800/40000]	lr: 2.000e-02, eta: 3:52:42, time: 1.656, data_time: 0.026, memory: 26490, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0484, loss_cls: 0.2012, acc: 92.8506, loss_bbox: 0.2478, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1839, acc_unlabeled: 92.6608, loss_bbox_unlabeled: 0.1836, losses_cls_ig_unlabeled: 0.1746, pseudo_num: 1.4922, pseudo_num_ig: 5.6713, pseudo_num_mining: 1.1036, pseudo_num(acc): 0.8893, pseudo_num ig(acc): 0.4928, loss: 1.2482
2021-11-01 06:07:23,357 - mmdet - INFO - Iter [32850/40000]	lr: 2.000e-02, eta: 3:51:02, time: 1.685, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0448, loss_cls: 0.1983, acc: 93.0278, loss_bbox: 0.2425, loss_rpn_cls_unlabeled: 0.0845, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1857, acc_unlabeled: 92.4335, loss_bbox_unlabeled: 0.1835, losses_cls_ig_unlabeled: 0.1792, pseudo_num: 1.4921, pseudo_num_ig: 5.6715, pseudo_num_mining: 1.1040, pseudo_num(acc): 0.8893, pseudo_num ig(acc): 0.4928, loss: 1.2407
2021-11-01 06:08:48,912 - mmdet - INFO - Iter [32900/40000]	lr: 2.000e-02, eta: 3:49:22, time: 1.714, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0465, loss_cls: 0.1957, acc: 93.0345, loss_bbox: 0.2441, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0983, loss_cls_unlabeled: 0.1948, acc_unlabeled: 92.3048, loss_bbox_unlabeled: 0.1922, losses_cls_ig_unlabeled: 0.1829, pseudo_num: 1.4921, pseudo_num_ig: 5.6719, pseudo_num_mining: 1.1045, pseudo_num(acc): 0.8893, pseudo_num ig(acc): 0.4928, loss: 1.2714
2021-11-01 06:10:13,819 - mmdet - INFO - Iter [32950/40000]	lr: 2.000e-02, eta: 3:47:43, time: 1.697, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0479, loss_cls: 0.2019, acc: 92.8544, loss_bbox: 0.2487, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.0998, loss_cls_unlabeled: 0.1964, acc_unlabeled: 92.3123, loss_bbox_unlabeled: 0.1981, losses_cls_ig_unlabeled: 0.1833, pseudo_num: 1.4921, pseudo_num_ig: 5.6721, pseudo_num_mining: 1.1049, pseudo_num(acc): 0.8893, pseudo_num ig(acc): 0.4928, loss: 1.2980
2021-11-01 06:11:36,930 - mmdet - INFO - pseudo pos: 0.98(61335.0-person) 0.94(1435.0-bicycle) 0.94(10218.0-car) 0.98(1843.0-motorcycle) 0.99(1125.0-airplane) 1.00(1198.0-bus) 0.99(1172.0-train) 0.79(2456.0-truck) 0.79(2573.0-boat) 0.92(3237.0-traffic light) 0.99(369.0-fire hydrant) 0.99(407.0-stop sign) 0.95(298.0-parking meter) 0.78(2363.0-bench) 0.94(2319.0-bird) 0.98(1256.0-cat) 0.98(1189.0-dog) 0.99(1451.0-horse) 0.95(2327.0-sheep) 0.96(1800.0-cow) 1.00(1109.0-elephant) 0.99(348.0-bear) 0.99(1146.0-zebra) 0.99(1185.0-giraffe) 0.62(1970.0-backpack) 0.86(2738.0-umbrella) 0.57(2599.0-handbag) 0.93(1187.0-tie) 0.84(1229.0-suitcase) 0.99(563.0-frisbee) 0.78(1451.0-skis) 0.83(567.0-snowboard) 0.98(1460.0-sports ball) 0.91(1980.0-kite) 0.92(730.0-baseball bat) 0.97(782.0-baseball glove) 0.99(1216.0-skateboard) 0.92(1606.0-surfboard) 0.99(960.0-tennis racket) 0.89(5007.0-bottle) 0.96(1711.0-wine glass) 0.91(5147.0-cup) 0.84(1096.0-fork) 0.60(1791.0-knife) 0.56(1399.0-spoon) 0.83(3679.0-bowl) 0.71(2286.0-banana) 0.57(1146.0-apple) 0.84(1124.0-sandwich) 0.67(1637.0-orange) 0.71(1624.0-broccoli) 0.60(1729.0-carrot) 0.83(624.0-hot dog) 0.96(1368.0-pizza) 0.93(1622.0-donut) 0.89(1320.0-cake) 0.82(8808.0-chair) 0.86(1424.0-couch) 0.78(2101.0-potted plant) 0.96(1031.0-bed) 0.75(4543.0-dining table) 0.96(787.0-toilet) 0.98(1184.0-tv) 0.98(1093.0-laptop) 0.98(488.0-mouse) 0.81(1116.0-remote) 0.99(631.0-keyboard) 0.85(1575.0-cell phone) 0.99(329.0-microwave) 0.91(863.0-oven) 0.34(53.0-toaster) 0.86(1217.0-sink) 0.98(617.0-refrigerator) 0.38(4748.0-book) 0.99(1490.0-clock) 0.90(1640.0-vase) 0.77(364.0-scissors) 0.93(1152.0-teddy bear) 0.25(4.0-hair drier) 0.60(383.0-toothbrush)
2021-11-01 06:11:36,931 - mmdet - INFO - pseudo ig: 0.65(224377.0-person) 0.45(5635.0-bicycle) 0.51(39476.0-car) 0.59(7601.0-motorcycle) 0.72(3971.0-airplane) 0.69(4892.0-bus) 0.63(3929.0-train) 0.36(9523.0-truck) 0.36(9545.0-boat) 0.39(12349.0-traffic light) 0.74(1566.0-fire hydrant) 0.65(1685.0-stop sign) 0.37(1186.0-parking meter) 0.23(8649.0-bench) 0.35(9306.0-bird) 0.74(4120.0-cat) 0.68(4390.0-dog) 0.64(5370.0-horse) 0.54(8862.0-sheep) 0.54(7516.0-cow) 0.82(4612.0-elephant) 0.71(1192.0-bear) 0.82(4462.0-zebra) 0.89(4048.0-giraffe) 0.24(7854.0-backpack) 0.42(10720.0-umbrella) 0.22(10810.0-handbag) 0.47(4679.0-tie) 0.42(4596.0-suitcase) 0.64(2189.0-frisbee) 0.37(5530.0-skis) 0.36(2253.0-snowboard) 0.41(5503.0-sports ball) 0.48(7232.0-kite) 0.42(3005.0-baseball bat) 0.49(2960.0-baseball glove) 0.61(4717.0-skateboard) 0.45(6085.0-surfboard) 0.69(4063.0-tennis racket) 0.44(20362.0-bottle) 0.47(7000.0-wine glass) 0.37(20745.0-cup) 0.30(4814.0-fork) 0.26(6727.0-knife) 0.21(5979.0-spoon) 0.38(14539.0-bowl) 0.28(9547.0-banana) 0.22(5093.0-apple) 0.36(4002.0-sandwich) 0.28(6356.0-orange) 0.39(6320.0-broccoli) 0.26(6730.0-carrot) 0.33(2263.0-hot dog) 0.56(4997.0-pizza) 0.45(5953.0-donut) 0.40(5278.0-cake) 0.32(33970.0-chair) 0.42(5490.0-couch) 0.38(7860.0-potted plant) 0.53(3467.0-bed) 0.37(13426.0-dining table) 0.73(3470.0-toilet) 0.63(4986.0-tv) 0.60(4576.0-laptop) 0.52(1992.0-mouse) 0.37(5064.0-remote) 0.50(2489.0-keyboard) 0.30(5798.0-cell phone) 0.60(1388.0-microwave) 0.38(3104.0-oven) 0.10(174.0-toaster) 0.48(4869.0-sink) 0.49(2239.0-refrigerator) 0.20(19061.0-book) 0.62(5139.0-clock) 0.39(6417.0-vase) 0.26(1377.0-scissors) 0.49(4449.0-teddy bear) 0.00(0.0-hair drier) 0.25(1533.0-toothbrush)
2021-11-01 06:11:36,931 - mmdet - INFO - pseudo gt: 287878.0 7968.0 48162.0 9891.0 5716.0 6954.0 4919.0 10999.0 11570.0 14099.0 2041.0 2214.0 1392.0 11244.0 11346.0 5178.0 6202.0 6990.0 10828.0 9018.0 6245.0 1479.0 6104.0 5669.0 9593.0 12577.0 13566.0 7275.0 7017.0 2961.0 7223.0 3067.0 6865.0 10079.0 3567.0 4226.0 6294.0 6521.0 5422.0 26898.0 9050.0 22789.0 6130.0 8780.0 6776.0 15546.0 10167.0 6188.0 4851.0 6790.0 8369.0 8518.0 3217.0 6424.0 7898.0 7169.0 43061.0 6480.0 9647.0 4696.0 17700.0 4742.0 6578.0 5597.0 2512.0 6275.0 3156.0 7051.0 1900.0 3650.0 224.0 6279.0 3035.0 27154.0 7226.0 7278.0 1553.0 5093.0 225.0 2072.0
2021-11-01 06:11:36,931 - mmdet - INFO - pseudo mining: 72030.0 330.0 7751.0 1074.0 1153.0 1742.0 910.0 157.0 396.0 1904.0 847.0 1150.0 126.0 67.0 547.0 1008.0 879.0 1474.0 2195.0 1602.0 2553.0 528.0 2743.0 2789.0 36.0 917.0 41.0 673.0 262.0 1110.0 169.0 25.0 2043.0 2126.0 339.0 1030.0 1336.0 435.0 1661.0 2718.0 837.0 2625.0 37.0 65.0 46.0 1423.0 205.0 37.0 143.0 139.0 570.0 174.0 40.0 1160.0 1494.0 228.0 497.0 147.0 573.0 177.0 281.0 1959.0 2230.0 1123.0 876.0 361.0 436.0 509.0 422.0 285.0 0.0 1166.0 293.0 80.0 3653.0 731.0 14.0 484.0 0.0 24.0
2021-11-01 06:13:08,673 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 06:13:08,673 - mmdet - INFO - Iter [33000/40000]	lr: 2.000e-02, eta: 3:46:03, time: 1.693, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0476, loss_cls: 0.1982, acc: 92.9707, loss_bbox: 0.2417, loss_rpn_cls_unlabeled: 0.0899, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1864, acc_unlabeled: 92.4115, loss_bbox_unlabeled: 0.1845, losses_cls_ig_unlabeled: 0.1858, pseudo_num: 1.4922, pseudo_num_ig: 5.6725, pseudo_num_mining: 1.1055, pseudo_num(acc): 0.8893, pseudo_num ig(acc): 0.4928, loss: 1.2607
2021-11-01 06:14:33,149 - mmdet - INFO - Iter [33050/40000]	lr: 2.000e-02, eta: 3:44:43, time: 3.492, data_time: 1.833, memory: 26490, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0472, loss_cls: 0.1952, acc: 93.0923, loss_bbox: 0.2387, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1897, acc_unlabeled: 92.3860, loss_bbox_unlabeled: 0.1873, losses_cls_ig_unlabeled: 0.1894, pseudo_num: 1.4921, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1060, pseudo_num(acc): 0.8894, pseudo_num ig(acc): 0.4929, loss: 1.2572
2021-11-01 06:15:57,178 - mmdet - INFO - Iter [33100/40000]	lr: 2.000e-02, eta: 3:43:03, time: 1.682, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0457, loss_cls: 0.1951, acc: 93.0912, loss_bbox: 0.2396, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1933, acc_unlabeled: 92.4270, loss_bbox_unlabeled: 0.1887, losses_cls_ig_unlabeled: 0.1861, pseudo_num: 1.4920, pseudo_num_ig: 5.6730, pseudo_num_mining: 1.1065, pseudo_num(acc): 0.8894, pseudo_num ig(acc): 0.4929, loss: 1.2544
2021-11-01 06:17:19,681 - mmdet - INFO - Iter [33150/40000]	lr: 2.000e-02, eta: 3:41:23, time: 1.648, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0469, loss_cls: 0.1944, acc: 93.0946, loss_bbox: 0.2409, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0914, loss_cls_unlabeled: 0.1845, acc_unlabeled: 92.6259, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1796, pseudo_num: 1.4920, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1069, pseudo_num(acc): 0.8894, pseudo_num ig(acc): 0.4929, loss: 1.2401
2021-11-01 06:18:44,774 - mmdet - INFO - Iter [33200/40000]	lr: 2.000e-02, eta: 3:39:44, time: 1.704, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0468, loss_cls: 0.1932, acc: 93.1780, loss_bbox: 0.2384, loss_rpn_cls_unlabeled: 0.0854, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1954, acc_unlabeled: 92.4369, loss_bbox_unlabeled: 0.1890, losses_cls_ig_unlabeled: 0.1900, pseudo_num: 1.4920, pseudo_num_ig: 5.6728, pseudo_num_mining: 1.1074, pseudo_num(acc): 0.8894, pseudo_num ig(acc): 0.4929, loss: 1.2604
2021-11-01 06:20:08,011 - mmdet - INFO - Iter [33250/40000]	lr: 2.000e-02, eta: 3:38:04, time: 1.660, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0459, loss_cls: 0.2028, acc: 92.8329, loss_bbox: 0.2479, loss_rpn_cls_unlabeled: 0.0819, loss_rpn_bbox_unlabeled: 0.0914, loss_cls_unlabeled: 0.1948, acc_unlabeled: 92.3176, loss_bbox_unlabeled: 0.1925, losses_cls_ig_unlabeled: 0.1832, pseudo_num: 1.4919, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1078, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4929, loss: 1.2695
2021-11-01 06:21:31,963 - mmdet - INFO - Iter [33300/40000]	lr: 2.000e-02, eta: 3:36:25, time: 1.681, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0495, loss_cls: 0.2038, acc: 92.7825, loss_bbox: 0.2495, loss_rpn_cls_unlabeled: 0.0916, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1887, acc_unlabeled: 92.4440, loss_bbox_unlabeled: 0.1888, losses_cls_ig_unlabeled: 0.1844, pseudo_num: 1.4919, pseudo_num_ig: 5.6731, pseudo_num_mining: 1.1083, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4929, loss: 1.2837
2021-11-01 06:22:54,485 - mmdet - INFO - Iter [33350/40000]	lr: 2.000e-02, eta: 3:34:45, time: 1.652, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0476, loss_cls: 0.1979, acc: 92.9565, loss_bbox: 0.2521, loss_rpn_cls_unlabeled: 0.0818, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1780, acc_unlabeled: 92.6372, loss_bbox_unlabeled: 0.1829, losses_cls_ig_unlabeled: 0.1727, pseudo_num: 1.4919, pseudo_num_ig: 5.6732, pseudo_num_mining: 1.1088, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4929, loss: 1.2337
2021-11-01 06:24:18,182 - mmdet - INFO - Iter [33400/40000]	lr: 2.000e-02, eta: 3:33:05, time: 1.675, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0472, loss_cls: 0.1934, acc: 93.1693, loss_bbox: 0.2425, loss_rpn_cls_unlabeled: 0.0829, loss_rpn_bbox_unlabeled: 0.0879, loss_cls_unlabeled: 0.1892, acc_unlabeled: 92.5435, loss_bbox_unlabeled: 0.1874, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4918, pseudo_num_ig: 5.6732, pseudo_num_mining: 1.1092, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4930, loss: 1.2421
2021-11-01 06:25:42,494 - mmdet - INFO - Iter [33450/40000]	lr: 2.000e-02, eta: 3:31:26, time: 1.683, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0452, loss_cls: 0.1944, acc: 93.1226, loss_bbox: 0.2413, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1860, acc_unlabeled: 92.4401, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1903, pseudo_num: 1.4916, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1095, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4930, loss: 1.2419
2021-11-01 06:28:24,964 - mmdet - INFO - pseudo pos: 0.98(62263.0-person) 0.94(1458.0-bicycle) 0.94(10369.0-car) 0.98(1868.0-motorcycle) 0.99(1143.0-airplane) 1.00(1215.0-bus) 0.99(1182.0-train) 0.79(2489.0-truck) 0.79(2601.0-boat) 0.92(3283.0-traffic light) 0.99(374.0-fire hydrant) 0.99(415.0-stop sign) 0.95(301.0-parking meter) 0.78(2411.0-bench) 0.94(2341.0-bird) 0.98(1276.0-cat) 0.98(1212.0-dog) 0.99(1481.0-horse) 0.95(2377.0-sheep) 0.96(1826.0-cow) 1.00(1132.0-elephant) 0.99(353.0-bear) 0.99(1169.0-zebra) 0.99(1192.0-giraffe) 0.62(1996.0-backpack) 0.86(2773.0-umbrella) 0.57(2653.0-handbag) 0.94(1208.0-tie) 0.84(1242.0-suitcase) 0.99(573.0-frisbee) 0.78(1468.0-skis) 0.83(579.0-snowboard) 0.98(1481.0-sports ball) 0.91(2010.0-kite) 0.92(741.0-baseball bat) 0.97(800.0-baseball glove) 0.99(1231.0-skateboard) 0.91(1629.0-surfboard) 0.99(974.0-tennis racket) 0.89(5101.0-bottle) 0.95(1723.0-wine glass) 0.91(5233.0-cup) 0.84(1118.0-fork) 0.60(1803.0-knife) 0.56(1419.0-spoon) 0.83(3731.0-bowl) 0.71(2320.0-banana) 0.57(1160.0-apple) 0.83(1150.0-sandwich) 0.67(1657.0-orange) 0.72(1647.0-broccoli) 0.60(1741.0-carrot) 0.84(639.0-hot dog) 0.96(1399.0-pizza) 0.93(1660.0-donut) 0.89(1341.0-cake) 0.82(8937.0-chair) 0.86(1446.0-couch) 0.78(2132.0-potted plant) 0.96(1050.0-bed) 0.75(4619.0-dining table) 0.96(795.0-toilet) 0.98(1191.0-tv) 0.98(1108.0-laptop) 0.98(495.0-mouse) 0.81(1136.0-remote) 0.99(641.0-keyboard) 0.85(1595.0-cell phone) 0.99(337.0-microwave) 0.91(873.0-oven) 0.33(54.0-toaster) 0.86(1233.0-sink) 0.98(629.0-refrigerator) 0.38(4814.0-book) 0.99(1510.0-clock) 0.90(1661.0-vase) 0.77(367.0-scissors) 0.93(1169.0-teddy bear) 0.20(10.0-hair drier) 0.60(387.0-toothbrush)
2021-11-01 06:28:24,964 - mmdet - INFO - pseudo ig: 0.65(227551.0-person) 0.45(5735.0-bicycle) 0.51(40176.0-car) 0.59(7682.0-motorcycle) 0.72(4025.0-airplane) 0.69(4976.0-bus) 0.63(4008.0-train) 0.36(9678.0-truck) 0.36(9606.0-boat) 0.39(12548.0-traffic light) 0.74(1596.0-fire hydrant) 0.65(1708.0-stop sign) 0.37(1200.0-parking meter) 0.23(8803.0-bench) 0.35(9427.0-bird) 0.74(4174.0-cat) 0.68(4458.0-dog) 0.64(5505.0-horse) 0.54(8996.0-sheep) 0.54(7641.0-cow) 0.81(4678.0-elephant) 0.70(1213.0-bear) 0.82(4543.0-zebra) 0.89(4100.0-giraffe) 0.24(7972.0-backpack) 0.42(10856.0-umbrella) 0.22(11023.0-handbag) 0.47(4729.0-tie) 0.42(4662.0-suitcase) 0.64(2231.0-frisbee) 0.37(5583.0-skis) 0.36(2290.0-snowboard) 0.41(5583.0-sports ball) 0.49(7341.0-kite) 0.42(3052.0-baseball bat) 0.49(3001.0-baseball glove) 0.61(4799.0-skateboard) 0.45(6186.0-surfboard) 0.69(4119.0-tennis racket) 0.44(20720.0-bottle) 0.47(7081.0-wine glass) 0.37(21000.0-cup) 0.30(4895.0-fork) 0.25(6804.0-knife) 0.21(6057.0-spoon) 0.38(14767.0-bowl) 0.28(9673.0-banana) 0.22(5227.0-apple) 0.36(4068.0-sandwich) 0.27(6549.0-orange) 0.40(6418.0-broccoli) 0.26(6812.0-carrot) 0.33(2285.0-hot dog) 0.57(5072.0-pizza) 0.45(6074.0-donut) 0.40(5373.0-cake) 0.32(34557.0-chair) 0.42(5584.0-couch) 0.38(7968.0-potted plant) 0.53(3513.0-bed) 0.37(13631.0-dining table) 0.73(3516.0-toilet) 0.64(5063.0-tv) 0.60(4638.0-laptop) 0.52(2018.0-mouse) 0.37(5133.0-remote) 0.50(2515.0-keyboard) 0.30(5875.0-cell phone) 0.60(1406.0-microwave) 0.38(3150.0-oven) 0.10(176.0-toaster) 0.48(4942.0-sink) 0.50(2271.0-refrigerator) 0.20(19371.0-book) 0.62(5198.0-clock) 0.39(6509.0-vase) 0.26(1389.0-scissors) 0.49(4488.0-teddy bear) 0.00(1.0-hair drier) 0.25(1553.0-toothbrush)
2021-11-01 06:28:24,964 - mmdet - INFO - pseudo gt: 292157.0 8090.0 48971.0 9995.0 5786.0 7064.0 4987.0 11169.0 11678.0 14306.0 2079.0 2250.0 1418.0 11408.0 11458.0 5252.0 6291.0 7138.0 11036.0 9177.0 6339.0 1506.0 6210.0 5730.0 9722.0 12753.0 13774.0 7379.0 7094.0 3016.0 7311.0 3104.0 6977.0 10280.0 3638.0 4303.0 6405.0 6611.0 5502.0 27329.0 9135.0 23079.0 6204.0 8861.0 6875.0 15799.0 10326.0 6316.0 4907.0 6893.0 8484.0 8607.0 3278.0 6536.0 8028.0 7268.0 43686.0 6592.0 9780.0 4753.0 17966.0 4795.0 6670.0 5675.0 2551.0 6378.0 3209.0 7144.0 1925.0 3703.0 227.0 6364.0 3096.0 27564.0 7293.0 7411.0 1568.0 5149.0 227.0 2097.0
2021-11-01 06:28:24,964 - mmdet - INFO - pseudo mining: 73323.0 338.0 7954.0 1089.0 1175.0 1794.0 930.0 164.0 396.0 1936.0 868.0 1168.0 127.0 68.0 553.0 1031.0 897.0 1523.0 2253.0 1647.0 2602.0 543.0 2797.0 2828.0 37.0 931.0 42.0 688.0 266.0 1132.0 171.0 25.0 2080.0 2168.0 345.0 1048.0 1356.0 449.0 1690.0 2792.0 850.0 2675.0 37.0 68.0 49.0 1471.0 212.0 37.0 145.0 144.0 590.0 178.0 40.0 1190.0 1511.0 229.0 520.0 155.0 592.0 184.0 289.0 1993.0 2287.0 1146.0 886.0 367.0 444.0 518.0 428.0 291.0 0.0 1195.0 301.0 81.0 3688.0 751.0 15.0 492.0 0.0 26.0
2021-11-01 06:28:26,518 - mmdet - INFO - Iter [33500/40000]	lr: 2.000e-02, eta: 3:30:02, time: 3.283, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0476, loss_cls: 0.1943, acc: 93.0911, loss_bbox: 0.2437, loss_rpn_cls_unlabeled: 0.0792, loss_rpn_bbox_unlabeled: 0.0874, loss_cls_unlabeled: 0.1835, acc_unlabeled: 92.9551, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1740, pseudo_num: 1.4916, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1099, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4930, loss: 1.2235
2021-11-01 06:29:48,004 - mmdet - INFO - Iter [33550/40000]	lr: 2.000e-02, eta: 3:28:22, time: 1.629, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0445, loss_cls: 0.1935, acc: 93.1520, loss_bbox: 0.2407, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1874, acc_unlabeled: 92.5732, loss_bbox_unlabeled: 0.1869, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.4915, pseudo_num_ig: 5.6727, pseudo_num_mining: 1.1103, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4930, loss: 1.2400
2021-11-01 06:31:09,489 - mmdet - INFO - Iter [33600/40000]	lr: 2.000e-02, eta: 3:26:42, time: 1.631, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0456, loss_cls: 0.1941, acc: 93.2274, loss_bbox: 0.2402, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0889, loss_cls_unlabeled: 0.1947, acc_unlabeled: 92.5071, loss_bbox_unlabeled: 0.1913, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4915, pseudo_num_ig: 5.6726, pseudo_num_mining: 1.1107, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4930, loss: 1.2541
2021-11-01 06:32:32,316 - mmdet - INFO - Iter [33650/40000]	lr: 2.000e-02, eta: 3:25:03, time: 1.656, data_time: 0.026, memory: 26490, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0483, loss_cls: 0.2018, acc: 92.8677, loss_bbox: 0.2475, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1952, acc_unlabeled: 92.6807, loss_bbox_unlabeled: 0.1928, losses_cls_ig_unlabeled: 0.1814, pseudo_num: 1.4915, pseudo_num_ig: 5.6726, pseudo_num_mining: 1.1111, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4930, loss: 1.2758
2021-11-01 06:33:54,896 - mmdet - INFO - Iter [33700/40000]	lr: 2.000e-02, eta: 3:23:23, time: 1.650, data_time: 0.026, memory: 26490, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0450, loss_cls: 0.1938, acc: 93.1527, loss_bbox: 0.2425, loss_rpn_cls_unlabeled: 0.0886, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1880, acc_unlabeled: 92.5875, loss_bbox_unlabeled: 0.1902, losses_cls_ig_unlabeled: 0.1781, pseudo_num: 1.4915, pseudo_num_ig: 5.6726, pseudo_num_mining: 1.1116, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4930, loss: 1.2503
2021-11-01 06:35:17,806 - mmdet - INFO - Iter [33750/40000]	lr: 2.000e-02, eta: 3:21:44, time: 1.660, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0445, loss_cls: 0.1888, acc: 93.3467, loss_bbox: 0.2352, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1966, acc_unlabeled: 92.6116, loss_bbox_unlabeled: 0.1920, losses_cls_ig_unlabeled: 0.1814, pseudo_num: 1.4915, pseudo_num_ig: 5.6728, pseudo_num_mining: 1.1122, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4930, loss: 1.2494
2021-11-01 06:36:41,012 - mmdet - INFO - Iter [33800/40000]	lr: 2.000e-02, eta: 3:20:05, time: 1.663, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0480, loss_cls: 0.2004, acc: 92.8574, loss_bbox: 0.2520, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1965, acc_unlabeled: 92.4294, loss_bbox_unlabeled: 0.1908, losses_cls_ig_unlabeled: 0.1827, pseudo_num: 1.4914, pseudo_num_ig: 5.6728, pseudo_num_mining: 1.1127, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4931, loss: 1.2788
2021-11-01 06:38:02,841 - mmdet - INFO - Iter [33850/40000]	lr: 2.000e-02, eta: 3:18:25, time: 1.634, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0455, loss_cls: 0.1944, acc: 93.1620, loss_bbox: 0.2416, loss_rpn_cls_unlabeled: 0.0888, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1942, acc_unlabeled: 92.5391, loss_bbox_unlabeled: 0.1970, losses_cls_ig_unlabeled: 0.1764, pseudo_num: 1.4914, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1131, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4931, loss: 1.2612
2021-11-01 06:39:24,642 - mmdet - INFO - Iter [33900/40000]	lr: 2.000e-02, eta: 3:16:46, time: 1.640, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0477, loss_cls: 0.2005, acc: 92.8513, loss_bbox: 0.2525, loss_rpn_cls_unlabeled: 0.0870, loss_rpn_bbox_unlabeled: 0.0879, loss_cls_unlabeled: 0.1980, acc_unlabeled: 92.4020, loss_bbox_unlabeled: 0.1901, losses_cls_ig_unlabeled: 0.1863, pseudo_num: 1.4914, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1136, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4931, loss: 1.2791
2021-11-01 06:40:47,180 - mmdet - INFO - Iter [33950/40000]	lr: 2.000e-02, eta: 3:15:06, time: 1.652, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0494, loss_cls: 0.1989, acc: 92.9321, loss_bbox: 0.2454, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0990, loss_cls_unlabeled: 0.2030, acc_unlabeled: 92.3096, loss_bbox_unlabeled: 0.2010, losses_cls_ig_unlabeled: 0.1853, pseudo_num: 1.4914, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1141, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4931, loss: 1.3044
2021-11-01 06:42:09,604 - mmdet - INFO - pseudo pos: 0.98(63160.0-person) 0.94(1479.0-bicycle) 0.94(10526.0-car) 0.98(1907.0-motorcycle) 0.99(1160.0-airplane) 1.00(1234.0-bus) 0.99(1210.0-train) 0.79(2543.0-truck) 0.79(2644.0-boat) 0.92(3328.0-traffic light) 0.99(377.0-fire hydrant) 0.99(417.0-stop sign) 0.95(309.0-parking meter) 0.78(2451.0-bench) 0.94(2378.0-bird) 0.98(1291.0-cat) 0.98(1240.0-dog) 0.99(1502.0-horse) 0.95(2405.0-sheep) 0.96(1856.0-cow) 1.00(1154.0-elephant) 0.99(356.0-bear) 0.99(1184.0-zebra) 0.99(1211.0-giraffe) 0.62(2026.0-backpack) 0.86(2820.0-umbrella) 0.57(2706.0-handbag) 0.94(1227.0-tie) 0.84(1282.0-suitcase) 0.99(578.0-frisbee) 0.78(1498.0-skis) 0.83(585.0-snowboard) 0.98(1495.0-sports ball) 0.91(2028.0-kite) 0.92(754.0-baseball bat) 0.97(811.0-baseball glove) 0.99(1249.0-skateboard) 0.91(1663.0-surfboard) 0.99(994.0-tennis racket) 0.89(5148.0-bottle) 0.95(1748.0-wine glass) 0.91(5311.0-cup) 0.84(1137.0-fork) 0.60(1827.0-knife) 0.56(1436.0-spoon) 0.83(3766.0-bowl) 0.71(2350.0-banana) 0.57(1178.0-apple) 0.83(1167.0-sandwich) 0.67(1677.0-orange) 0.72(1671.0-broccoli) 0.60(1760.0-carrot) 0.84(647.0-hot dog) 0.96(1420.0-pizza) 0.93(1693.0-donut) 0.89(1374.0-cake) 0.82(9077.0-chair) 0.86(1471.0-couch) 0.78(2158.0-potted plant) 0.96(1069.0-bed) 0.75(4671.0-dining table) 0.96(801.0-toilet) 0.98(1200.0-tv) 0.98(1124.0-laptop) 0.98(500.0-mouse) 0.81(1151.0-remote) 0.99(651.0-keyboard) 0.85(1612.0-cell phone) 0.99(345.0-microwave) 0.91(885.0-oven) 0.33(58.0-toaster) 0.86(1249.0-sink) 0.98(637.0-refrigerator) 0.38(4869.0-book) 0.99(1542.0-clock) 0.90(1677.0-vase) 0.77(368.0-scissors) 0.93(1180.0-teddy bear) 0.03(62.0-hair drier) 0.60(393.0-toothbrush)
2021-11-01 06:42:09,604 - mmdet - INFO - pseudo ig: 0.65(230935.0-person) 0.45(5830.0-bicycle) 0.51(40831.0-car) 0.59(7781.0-motorcycle) 0.72(4106.0-airplane) 0.69(5063.0-bus) 0.63(4068.0-train) 0.36(9866.0-truck) 0.36(9696.0-boat) 0.39(12726.0-traffic light) 0.74(1623.0-fire hydrant) 0.65(1733.0-stop sign) 0.37(1208.0-parking meter) 0.23(8943.0-bench) 0.35(9559.0-bird) 0.74(4251.0-cat) 0.68(4532.0-dog) 0.64(5625.0-horse) 0.54(9147.0-sheep) 0.55(7820.0-cow) 0.82(4759.0-elephant) 0.71(1225.0-bear) 0.82(4620.0-zebra) 0.89(4174.0-giraffe) 0.24(8097.0-backpack) 0.42(10984.0-umbrella) 0.22(11218.0-handbag) 0.48(4785.0-tie) 0.42(4757.0-suitcase) 0.64(2259.0-frisbee) 0.37(5679.0-skis) 0.37(2324.0-snowboard) 0.41(5655.0-sports ball) 0.49(7466.0-kite) 0.42(3087.0-baseball bat) 0.49(3042.0-baseball glove) 0.61(4864.0-skateboard) 0.45(6300.0-surfboard) 0.69(4176.0-tennis racket) 0.44(21009.0-bottle) 0.47(7153.0-wine glass) 0.37(21217.0-cup) 0.30(4983.0-fork) 0.26(6901.0-knife) 0.22(6138.0-spoon) 0.38(14956.0-bowl) 0.28(9836.0-banana) 0.22(5343.0-apple) 0.36(4153.0-sandwich) 0.27(6673.0-orange) 0.39(6495.0-broccoli) 0.26(6868.0-carrot) 0.34(2316.0-hot dog) 0.57(5152.0-pizza) 0.45(6208.0-donut) 0.40(5471.0-cake) 0.32(35060.0-chair) 0.42(5664.0-couch) 0.38(8083.0-potted plant) 0.53(3551.0-bed) 0.38(13838.0-dining table) 0.73(3554.0-toilet) 0.64(5132.0-tv) 0.60(4703.0-laptop) 0.52(2042.0-mouse) 0.37(5197.0-remote) 0.50(2542.0-keyboard) 0.30(5935.0-cell phone) 0.60(1425.0-microwave) 0.38(3202.0-oven) 0.10(182.0-toaster) 0.48(5005.0-sink) 0.50(2293.0-refrigerator) 0.20(19647.0-book) 0.62(5321.0-clock) 0.39(6585.0-vase) 0.26(1397.0-scissors) 0.49(4565.0-teddy bear) 0.00(16.0-hair drier) 0.25(1581.0-toothbrush)
2021-11-01 06:42:09,604 - mmdet - INFO - pseudo gt: 296677.0 8203.0 49726.0 10154.0 5895.0 7178.0 5058.0 11354.0 11813.0 14485.0 2113.0 2278.0 1437.0 11560.0 11697.0 5335.0 6393.0 7260.0 11191.0 9391.0 6467.0 1524.0 6300.0 5828.0 9876.0 12920.0 14004.0 7467.0 7240.0 3050.0 7450.0 3142.0 7075.0 10467.0 3693.0 4375.0 6485.0 6724.0 5572.0 27649.0 9230.0 23379.0 6293.0 8994.0 6969.0 15992.0 10467.0 6398.0 4989.0 7003.0 8574.0 8716.0 3329.0 6650.0 8154.0 7377.0 44256.0 6694.0 9926.0 4817.0 18201.0 4841.0 6774.0 5752.0 2577.0 6470.0 3252.0 7248.0 1956.0 3757.0 228.0 6451.0 3125.0 27930.0 7427.0 7504.0 1578.0 5225.0 229.0 2150.0
2021-11-01 06:42:09,604 - mmdet - INFO - pseudo mining: 74711.0 349.0 8103.0 1107.0 1200.0 1837.0 945.0 172.0 400.0 1968.0 886.0 1187.0 127.0 71.0 565.0 1065.0 920.0 1562.0 2313.0 1700.0 2655.0 551.0 2850.0 2880.0 41.0 952.0 42.0 709.0 273.0 1148.0 174.0 28.0 2110.0 2212.0 352.0 1071.0 1380.0 461.0 1718.0 2857.0 861.0 2719.0 37.0 71.0 51.0 1507.0 217.0 37.0 152.0 148.0 596.0 181.0 42.0 1216.0 1532.0 234.0 548.0 156.0 604.0 187.0 294.0 2017.0 2335.0 1167.0 898.0 378.0 456.0 527.0 432.0 301.0 0.0 1220.0 307.0 81.0 3765.0 768.0 15.0 511.0 0.0 27.0
2021-11-01 06:43:04,313 - mmdet - INFO - Evaluating bbox...
2021-11-01 06:44:15,649 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.472 | bicycle      | 0.220 | car            | 0.379 |
| motorcycle    | 0.335 | airplane     | 0.511 | bus            | 0.544 |
| train         | 0.509 | truck        | 0.255 | boat           | 0.194 |
| traffic light | 0.241 | fire hydrant | 0.554 | stop sign      | 0.593 |
| parking meter | 0.428 | bench        | 0.160 | bird           | 0.253 |
| cat           | 0.518 | dog          | 0.473 | horse          | 0.462 |
| sheep         | 0.390 | cow          | 0.463 | elephant       | 0.524 |
| bear          | 0.572 | zebra        | 0.558 | giraffe        | 0.604 |
| backpack      | 0.110 | umbrella     | 0.273 | handbag        | 0.082 |
| tie           | 0.230 | suitcase     | 0.182 | frisbee        | 0.521 |
| skis          | 0.140 | snowboard    | 0.213 | sports ball    | 0.384 |
| kite          | 0.337 | baseball bat | 0.195 | baseball glove | 0.289 |
| skateboard    | 0.393 | surfboard    | 0.245 | tennis racket  | 0.351 |
| bottle        | 0.309 | wine glass   | 0.275 | cup            | 0.345 |
| fork          | 0.201 | knife        | 0.106 | spoon          | 0.092 |
| bowl          | 0.339 | banana       | 0.150 | apple          | 0.112 |
| sandwich      | 0.251 | orange       | 0.237 | broccoli       | 0.177 |
| carrot        | 0.118 | hot dog      | 0.186 | pizza          | 0.396 |
| donut         | 0.319 | cake         | 0.221 | chair          | 0.184 |
| couch         | 0.332 | potted plant | 0.161 | bed            | 0.342 |
| dining table  | 0.195 | toilet       | 0.489 | tv             | 0.478 |
| laptop        | 0.475 | mouse        | 0.539 | remote         | 0.183 |
| keyboard      | 0.390 | cell phone   | 0.242 | microwave      | 0.469 |
| oven          | 0.259 | toaster      | 0.200 | sink           | 0.261 |
| refrigerator  | 0.396 | book         | 0.069 | clock          | 0.426 |
| vase          | 0.268 | scissors     | 0.208 | teddy bear     | 0.338 |
| hair drier    | 0.001 | toothbrush   | 0.073 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 06:45:11,557 - mmdet - INFO - Evaluating bbox...
2021-11-01 06:46:22,102 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.486 | bicycle      | 0.245 | car            | 0.397 |
| motorcycle    | 0.361 | airplane     | 0.566 | bus            | 0.578 |
| train         | 0.562 | truck        | 0.271 | boat           | 0.212 |
| traffic light | 0.251 | fire hydrant | 0.586 | stop sign      | 0.609 |
| parking meter | 0.448 | bench        | 0.189 | bird           | 0.283 |
| cat           | 0.563 | dog          | 0.516 | horse          | 0.502 |
| sheep         | 0.418 | cow          | 0.498 | elephant       | 0.556 |
| bear          | 0.601 | zebra        | 0.578 | giraffe        | 0.618 |
| backpack      | 0.121 | umbrella     | 0.307 | handbag        | 0.102 |
| tie           | 0.251 | suitcase     | 0.235 | frisbee        | 0.573 |
| skis          | 0.160 | snowboard    | 0.234 | sports ball    | 0.408 |
| kite          | 0.345 | baseball bat | 0.220 | baseball glove | 0.318 |
| skateboard    | 0.444 | surfboard    | 0.294 | tennis racket  | 0.390 |
| bottle        | 0.334 | wine glass   | 0.298 | cup            | 0.359 |
| fork          | 0.236 | knife        | 0.122 | spoon          | 0.102 |
| bowl          | 0.371 | banana       | 0.181 | apple          | 0.134 |
| sandwich      | 0.284 | orange       | 0.254 | broccoli       | 0.192 |
| carrot        | 0.143 | hot dog      | 0.207 | pizza          | 0.430 |
| donut         | 0.368 | cake         | 0.261 | chair          | 0.201 |
| couch         | 0.342 | potted plant | 0.175 | bed            | 0.349 |
| dining table  | 0.208 | toilet       | 0.518 | tv             | 0.509 |
| laptop        | 0.507 | mouse        | 0.557 | remote         | 0.217 |
| keyboard      | 0.434 | cell phone   | 0.284 | microwave      | 0.499 |
| oven          | 0.274 | toaster      | 0.297 | sink           | 0.289 |
| refrigerator  | 0.443 | book         | 0.072 | clock          | 0.450 |
| vase          | 0.341 | scissors     | 0.223 | teddy bear     | 0.372 |
| hair drier    | 0.001 | toothbrush   | 0.148 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 06:47:49,671 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 06:47:49,672 - mmdet - INFO - Iter [34000/40000]	lr: 2.000e-02, eta: 3:13:27, time: 1.684, data_time: 0.028, memory: 26490, bbox_mAP: 0.3410, bbox_mAP_50: 0.5430, bbox_mAP_75: 0.3710, bbox_mAP_s: 0.2020, bbox_mAP_m: 0.3710, bbox_mAP_l: 0.4430, bbox_mAP_copypaste: 0.341 0.543 0.371 0.202 0.371 0.443, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0462, loss_cls: 0.2003, acc: 92.9780, loss_bbox: 0.2480, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.2046, acc_unlabeled: 92.3877, loss_bbox_unlabeled: 0.1940, losses_cls_ig_unlabeled: 0.1835, pseudo_num: 1.4916, pseudo_num_ig: 5.6732, pseudo_num_mining: 1.1146, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4931, loss: 1.2876
2021-11-01 06:49:12,338 - mmdet - INFO - Iter [34050/40000]	lr: 2.000e-02, eta: 3:12:47, time: 8.417, data_time: 6.793, memory: 26490, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0461, loss_cls: 0.1964, acc: 93.0504, loss_bbox: 0.2425, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1884, acc_unlabeled: 92.6935, loss_bbox_unlabeled: 0.1871, losses_cls_ig_unlabeled: 0.1798, pseudo_num: 1.4916, pseudo_num_ig: 5.6735, pseudo_num_mining: 1.1151, pseudo_num(acc): 0.8894, pseudo_num ig(acc): 0.4931, loss: 1.2554
2021-11-01 06:50:36,242 - mmdet - INFO - Iter [34100/40000]	lr: 2.000e-02, eta: 3:11:08, time: 1.679, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0479, loss_cls: 0.1983, acc: 93.0101, loss_bbox: 0.2426, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1889, acc_unlabeled: 92.6323, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1784, pseudo_num: 1.4916, pseudo_num_ig: 5.6738, pseudo_num_mining: 1.1156, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4931, loss: 1.2466
2021-11-01 06:52:01,126 - mmdet - INFO - Iter [34150/40000]	lr: 2.000e-02, eta: 3:09:28, time: 1.698, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0434, loss_cls: 0.1932, acc: 93.1195, loss_bbox: 0.2372, loss_rpn_cls_unlabeled: 0.0802, loss_rpn_bbox_unlabeled: 0.0882, loss_cls_unlabeled: 0.1950, acc_unlabeled: 92.5166, loss_bbox_unlabeled: 0.1940, losses_cls_ig_unlabeled: 0.1747, pseudo_num: 1.4916, pseudo_num_ig: 5.6736, pseudo_num_mining: 1.1161, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4931, loss: 1.2342
2021-11-01 06:53:23,811 - mmdet - INFO - Iter [34200/40000]	lr: 2.000e-02, eta: 3:07:49, time: 1.653, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0494, loss_cls: 0.2015, acc: 92.8135, loss_bbox: 0.2494, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1898, acc_unlabeled: 92.5244, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1789, pseudo_num: 1.4917, pseudo_num_ig: 5.6737, pseudo_num_mining: 1.1166, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4932, loss: 1.2603
2021-11-01 06:54:46,361 - mmdet - INFO - Iter [34250/40000]	lr: 2.000e-02, eta: 3:06:09, time: 1.651, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0482, loss_cls: 0.1976, acc: 93.0660, loss_bbox: 0.2435, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1923, acc_unlabeled: 92.5317, loss_bbox_unlabeled: 0.1866, losses_cls_ig_unlabeled: 0.1841, pseudo_num: 1.4916, pseudo_num_ig: 5.6736, pseudo_num_mining: 1.1170, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4932, loss: 1.2600
2021-11-01 06:56:10,175 - mmdet - INFO - Iter [34300/40000]	lr: 2.000e-02, eta: 3:04:30, time: 1.678, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0477, loss_cls: 0.1964, acc: 93.0435, loss_bbox: 0.2461, loss_rpn_cls_unlabeled: 0.0858, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1916, acc_unlabeled: 92.5317, loss_bbox_unlabeled: 0.1902, losses_cls_ig_unlabeled: 0.1794, pseudo_num: 1.4917, pseudo_num_ig: 5.6737, pseudo_num_mining: 1.1174, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4932, loss: 1.2587
2021-11-01 06:57:32,060 - mmdet - INFO - Iter [34350/40000]	lr: 2.000e-02, eta: 3:02:50, time: 1.634, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0484, loss_cls: 0.2023, acc: 92.8218, loss_bbox: 0.2477, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1924, acc_unlabeled: 92.6350, loss_bbox_unlabeled: 0.1957, losses_cls_ig_unlabeled: 0.1745, pseudo_num: 1.4919, pseudo_num_ig: 5.6738, pseudo_num_mining: 1.1178, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4932, loss: 1.2681
2021-11-01 06:58:56,207 - mmdet - INFO - Iter [34400/40000]	lr: 2.000e-02, eta: 3:01:11, time: 1.684, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0473, loss_cls: 0.1978, acc: 92.9407, loss_bbox: 0.2437, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0863, loss_cls_unlabeled: 0.1845, acc_unlabeled: 92.8451, loss_bbox_unlabeled: 0.1836, losses_cls_ig_unlabeled: 0.1752, pseudo_num: 1.4919, pseudo_num_ig: 5.6737, pseudo_num_mining: 1.1183, pseudo_num(acc): 0.8895, pseudo_num ig(acc): 0.4933, loss: 1.2333
2021-11-01 07:00:20,267 - mmdet - INFO - Iter [34450/40000]	lr: 2.000e-02, eta: 2:59:32, time: 1.683, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0458, loss_cls: 0.1909, acc: 93.2289, loss_bbox: 0.2392, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1880, acc_unlabeled: 92.5831, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1787, pseudo_num: 1.4919, pseudo_num_ig: 5.6735, pseudo_num_mining: 1.1187, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4933, loss: 1.2394
2021-11-01 07:01:43,140 - mmdet - INFO - pseudo pos: 0.98(64140.0-person) 0.94(1493.0-bicycle) 0.94(10692.0-car) 0.98(1933.0-motorcycle) 0.99(1182.0-airplane) 1.00(1250.0-bus) 0.99(1234.0-train) 0.79(2568.0-truck) 0.79(2697.0-boat) 0.92(3375.0-traffic light) 0.99(379.0-fire hydrant) 0.99(422.0-stop sign) 0.95(311.0-parking meter) 0.78(2483.0-bench) 0.94(2416.0-bird) 0.98(1311.0-cat) 0.98(1253.0-dog) 0.99(1528.0-horse) 0.95(2440.0-sheep) 0.96(1886.0-cow) 1.00(1164.0-elephant) 0.99(361.0-bear) 0.99(1208.0-zebra) 0.99(1232.0-giraffe) 0.62(2048.0-backpack) 0.86(2886.0-umbrella) 0.57(2748.0-handbag) 0.94(1244.0-tie) 0.84(1301.0-suitcase) 0.99(583.0-frisbee) 0.78(1514.0-skis) 0.83(594.0-snowboard) 0.98(1518.0-sports ball) 0.91(2052.0-kite) 0.92(765.0-baseball bat) 0.97(834.0-baseball glove) 0.99(1266.0-skateboard) 0.91(1692.0-surfboard) 0.99(1012.0-tennis racket) 0.89(5220.0-bottle) 0.95(1774.0-wine glass) 0.91(5386.0-cup) 0.84(1161.0-fork) 0.61(1844.0-knife) 0.56(1458.0-spoon) 0.83(3827.0-bowl) 0.71(2395.0-banana) 0.57(1195.0-apple) 0.83(1201.0-sandwich) 0.67(1703.0-orange) 0.72(1682.0-broccoli) 0.60(1813.0-carrot) 0.84(656.0-hot dog) 0.96(1438.0-pizza) 0.93(1706.0-donut) 0.89(1396.0-cake) 0.82(9222.0-chair) 0.86(1498.0-couch) 0.78(2184.0-potted plant) 0.96(1084.0-bed) 0.75(4737.0-dining table) 0.95(818.0-toilet) 0.98(1226.0-tv) 0.98(1137.0-laptop) 0.98(506.0-mouse) 0.81(1185.0-remote) 0.99(657.0-keyboard) 0.85(1627.0-cell phone) 0.99(349.0-microwave) 0.91(894.0-oven) 0.33(58.0-toaster) 0.87(1272.0-sink) 0.98(654.0-refrigerator) 0.38(4946.0-book) 0.99(1567.0-clock) 0.90(1695.0-vase) 0.76(383.0-scissors) 0.94(1193.0-teddy bear) 0.03(62.0-hair drier) 0.60(397.0-toothbrush)
2021-11-01 07:01:43,140 - mmdet - INFO - pseudo ig: 0.65(234283.0-person) 0.45(5892.0-bicycle) 0.51(41449.0-car) 0.59(7871.0-motorcycle) 0.72(4187.0-airplane) 0.69(5135.0-bus) 0.63(4144.0-train) 0.36(10014.0-truck) 0.36(9873.0-boat) 0.39(12914.0-traffic light) 0.74(1645.0-fire hydrant) 0.65(1761.0-stop sign) 0.38(1228.0-parking meter) 0.23(9042.0-bench) 0.35(9694.0-bird) 0.74(4314.0-cat) 0.68(4598.0-dog) 0.64(5690.0-horse) 0.54(9280.0-sheep) 0.55(7983.0-cow) 0.82(4849.0-elephant) 0.70(1251.0-bear) 0.82(4683.0-zebra) 0.89(4254.0-giraffe) 0.24(8212.0-backpack) 0.43(11206.0-umbrella) 0.22(11408.0-handbag) 0.48(4851.0-tie) 0.42(4822.0-suitcase) 0.64(2283.0-frisbee) 0.37(5742.0-skis) 0.37(2349.0-snowboard) 0.41(5735.0-sports ball) 0.49(7610.0-kite) 0.42(3113.0-baseball bat) 0.49(3081.0-baseball glove) 0.61(4939.0-skateboard) 0.45(6437.0-surfboard) 0.69(4242.0-tennis racket) 0.44(21331.0-bottle) 0.47(7278.0-wine glass) 0.37(21517.0-cup) 0.30(5061.0-fork) 0.25(7026.0-knife) 0.22(6235.0-spoon) 0.38(15213.0-bowl) 0.28(10035.0-banana) 0.22(5417.0-apple) 0.36(4213.0-sandwich) 0.27(6813.0-orange) 0.39(6545.0-broccoli) 0.26(7004.0-carrot) 0.34(2342.0-hot dog) 0.57(5229.0-pizza) 0.45(6243.0-donut) 0.40(5538.0-cake) 0.32(35660.0-chair) 0.42(5763.0-couch) 0.38(8214.0-potted plant) 0.53(3598.0-bed) 0.38(14059.0-dining table) 0.73(3606.0-toilet) 0.64(5225.0-tv) 0.60(4767.0-laptop) 0.52(2063.0-mouse) 0.37(5284.0-remote) 0.50(2579.0-keyboard) 0.30(6032.0-cell phone) 0.60(1451.0-microwave) 0.38(3252.0-oven) 0.10(184.0-toaster) 0.48(5085.0-sink) 0.50(2322.0-refrigerator) 0.20(19907.0-book) 0.62(5392.0-clock) 0.39(6681.0-vase) 0.25(1440.0-scissors) 0.49(4641.0-teddy bear) 0.00(16.0-hair drier) 0.25(1620.0-toothbrush)
2021-11-01 07:01:43,140 - mmdet - INFO - pseudo gt: 301215.0 8295.0 50537.0 10325.0 6002.0 7292.0 5165.0 11529.0 12024.0 14719.0 2148.0 2322.0 1450.0 11708.0 11834.0 5415.0 6479.0 7348.0 11332.0 9571.0 6576.0 1544.0 6385.0 5937.0 10029.0 13216.0 14251.0 7581.0 7322.0 3089.0 7554.0 3201.0 7169.0 10653.0 3722.0 4427.0 6572.0 6835.0 5659.0 28083.0 9361.0 23781.0 6383.0 9125.0 7069.0 16260.0 10660.0 6575.0 5075.0 7111.0 8656.0 8901.0 3375.0 6747.0 8193.0 7514.0 44942.0 6825.0 10119.0 4881.0 18465.0 4932.0 6886.0 5829.0 2611.0 6603.0 3290.0 7344.0 1986.0 3816.0 229.0 6555.0 3164.0 28368.0 7544.0 7633.0 1598.0 5307.0 233.0 2194.0
2021-11-01 07:01:43,140 - mmdet - INFO - pseudo mining: 76038.0 355.0 8307.0 1138.0 1224.0 1870.0 979.0 180.0 409.0 2013.0 903.0 1211.0 130.0 71.0 575.0 1089.0 932.0 1589.0 2359.0 1757.0 2707.0 561.0 2886.0 2943.0 43.0 989.0 43.0 728.0 278.0 1163.0 176.0 29.0 2134.0 2267.0 358.0 1090.0 1403.0 467.0 1743.0 2945.0 875.0 2772.0 38.0 74.0 52.0 1547.0 228.0 38.0 160.0 155.0 602.0 184.0 43.0 1230.0 1545.0 239.0 560.0 163.0 620.0 192.0 298.0 2053.0 2387.0 1191.0 913.0 385.0 464.0 551.0 444.0 311.0 0.0 1243.0 312.0 84.0 3817.0 789.0 15.0 522.0 0.0 27.0
2021-11-01 07:01:44,724 - mmdet - INFO - Iter [34500/40000]	lr: 2.000e-02, eta: 2:57:53, time: 1.687, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0468, loss_cls: 0.1957, acc: 93.0870, loss_bbox: 0.2464, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1957, acc_unlabeled: 92.7224, loss_bbox_unlabeled: 0.1924, losses_cls_ig_unlabeled: 0.1743, pseudo_num: 1.4920, pseudo_num_ig: 5.6734, pseudo_num_mining: 1.1191, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4933, loss: 1.2633
2021-11-01 07:03:08,811 - mmdet - INFO - Iter [34550/40000]	lr: 2.000e-02, eta: 2:56:14, time: 1.684, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0464, loss_cls: 0.1919, acc: 93.1603, loss_bbox: 0.2384, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1960, acc_unlabeled: 92.6897, loss_bbox_unlabeled: 0.1902, losses_cls_ig_unlabeled: 0.1738, pseudo_num: 1.4920, pseudo_num_ig: 5.6732, pseudo_num_mining: 1.1195, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4933, loss: 1.2410
2021-11-01 07:04:33,815 - mmdet - INFO - Iter [34600/40000]	lr: 2.000e-02, eta: 2:54:35, time: 1.696, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0478, loss_cls: 0.2040, acc: 92.8790, loss_bbox: 0.2476, loss_rpn_cls_unlabeled: 0.0841, loss_rpn_bbox_unlabeled: 0.0876, loss_cls_unlabeled: 0.1923, acc_unlabeled: 92.5343, loss_bbox_unlabeled: 0.1904, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.4921, pseudo_num_ig: 5.6728, pseudo_num_mining: 1.1198, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4934, loss: 1.2660
2021-11-01 07:06:00,667 - mmdet - INFO - Iter [34650/40000]	lr: 2.000e-02, eta: 2:52:56, time: 1.739, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0453, loss_cls: 0.1894, acc: 93.2987, loss_bbox: 0.2346, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1945, acc_unlabeled: 92.3973, loss_bbox_unlabeled: 0.1915, losses_cls_ig_unlabeled: 0.1855, pseudo_num: 1.4922, pseudo_num_ig: 5.6730, pseudo_num_mining: 1.1202, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4934, loss: 1.2455
2021-11-01 07:07:26,439 - mmdet - INFO - Iter [34700/40000]	lr: 2.000e-02, eta: 2:51:18, time: 1.717, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0500, loss_cls: 0.1973, acc: 92.9750, loss_bbox: 0.2466, loss_rpn_cls_unlabeled: 0.0842, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1922, acc_unlabeled: 92.5819, loss_bbox_unlabeled: 0.2009, losses_cls_ig_unlabeled: 0.1756, pseudo_num: 1.4923, pseudo_num_ig: 5.6732, pseudo_num_mining: 1.1207, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4934, loss: 1.2713
2021-11-01 07:08:52,297 - mmdet - INFO - Iter [34750/40000]	lr: 2.000e-02, eta: 2:49:39, time: 1.717, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0484, loss_cls: 0.1940, acc: 93.1045, loss_bbox: 0.2449, loss_rpn_cls_unlabeled: 0.0841, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1789, acc_unlabeled: 92.8098, loss_bbox_unlabeled: 0.1840, losses_cls_ig_unlabeled: 0.1642, pseudo_num: 1.4925, pseudo_num_ig: 5.6730, pseudo_num_mining: 1.1210, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4934, loss: 1.2193
2021-11-01 07:10:18,059 - mmdet - INFO - Iter [34800/40000]	lr: 2.000e-02, eta: 2:48:00, time: 1.715, data_time: 0.026, memory: 26490, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0492, loss_cls: 0.2050, acc: 92.7732, loss_bbox: 0.2556, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0912, loss_cls_unlabeled: 0.1918, acc_unlabeled: 92.4945, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1793, pseudo_num: 1.4925, pseudo_num_ig: 5.6728, pseudo_num_mining: 1.1213, pseudo_num(acc): 0.8896, pseudo_num ig(acc): 0.4934, loss: 1.2733
2021-11-01 07:11:46,003 - mmdet - INFO - Iter [34850/40000]	lr: 2.000e-02, eta: 2:46:22, time: 1.759, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0468, loss_cls: 0.1907, acc: 93.2167, loss_bbox: 0.2358, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1935, acc_unlabeled: 92.3295, loss_bbox_unlabeled: 0.1860, losses_cls_ig_unlabeled: 0.1846, pseudo_num: 1.4926, pseudo_num_ig: 5.6728, pseudo_num_mining: 1.1217, pseudo_num(acc): 0.8897, pseudo_num ig(acc): 0.4934, loss: 1.2484
2021-11-01 07:13:11,381 - mmdet - INFO - Iter [34900/40000]	lr: 2.000e-02, eta: 2:44:43, time: 1.703, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0481, loss_cls: 0.1962, acc: 92.9988, loss_bbox: 0.2480, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1871, acc_unlabeled: 92.7650, loss_bbox_unlabeled: 0.1900, losses_cls_ig_unlabeled: 0.1711, pseudo_num: 1.4927, pseudo_num_ig: 5.6728, pseudo_num_mining: 1.1221, pseudo_num(acc): 0.8897, pseudo_num ig(acc): 0.4934, loss: 1.2478
2021-11-01 07:14:35,069 - mmdet - INFO - Iter [34950/40000]	lr: 2.000e-02, eta: 2:43:05, time: 1.677, data_time: 0.036, memory: 26490, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0452, loss_cls: 0.1940, acc: 93.1285, loss_bbox: 0.2420, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0881, loss_cls_unlabeled: 0.1909, acc_unlabeled: 92.6489, loss_bbox_unlabeled: 0.1896, losses_cls_ig_unlabeled: 0.1805, pseudo_num: 1.4928, pseudo_num_ig: 5.6726, pseudo_num_mining: 1.1224, pseudo_num(acc): 0.8897, pseudo_num ig(acc): 0.4935, loss: 1.2432
2021-11-01 07:15:57,035 - mmdet - INFO - pseudo pos: 0.98(65126.0-person) 0.94(1510.0-bicycle) 0.94(10818.0-car) 0.98(1964.0-motorcycle) 0.99(1202.0-airplane) 1.00(1262.0-bus) 0.99(1252.0-train) 0.79(2603.0-truck) 0.79(2745.0-boat) 0.92(3430.0-traffic light) 0.99(381.0-fire hydrant) 0.99(424.0-stop sign) 0.95(315.0-parking meter) 0.78(2524.0-bench) 0.94(2448.0-bird) 0.98(1332.0-cat) 0.98(1267.0-dog) 0.99(1551.0-horse) 0.95(2509.0-sheep) 0.96(1913.0-cow) 1.00(1177.0-elephant) 0.99(373.0-bear) 0.99(1233.0-zebra) 0.99(1244.0-giraffe) 0.62(2082.0-backpack) 0.86(2923.0-umbrella) 0.58(2792.0-handbag) 0.94(1259.0-tie) 0.84(1328.0-suitcase) 0.99(598.0-frisbee) 0.78(1526.0-skis) 0.83(601.0-snowboard) 0.98(1547.0-sports ball) 0.91(2085.0-kite) 0.92(773.0-baseball bat) 0.97(847.0-baseball glove) 0.99(1286.0-skateboard) 0.92(1721.0-surfboard) 0.99(1032.0-tennis racket) 0.89(5294.0-bottle) 0.95(1801.0-wine glass) 0.91(5465.0-cup) 0.85(1184.0-fork) 0.61(1876.0-knife) 0.56(1478.0-spoon) 0.83(3879.0-bowl) 0.71(2447.0-banana) 0.57(1205.0-apple) 0.84(1220.0-sandwich) 0.67(1716.0-orange) 0.71(1709.0-broccoli) 0.60(1861.0-carrot) 0.84(664.0-hot dog) 0.96(1466.0-pizza) 0.93(1726.0-donut) 0.89(1411.0-cake) 0.82(9379.0-chair) 0.87(1522.0-couch) 0.78(2222.0-potted plant) 0.96(1094.0-bed) 0.75(4816.0-dining table) 0.95(824.0-toilet) 0.98(1242.0-tv) 0.98(1151.0-laptop) 0.98(516.0-mouse) 0.81(1218.0-remote) 0.99(677.0-keyboard) 0.85(1652.0-cell phone) 0.99(358.0-microwave) 0.91(901.0-oven) 0.33(58.0-toaster) 0.87(1283.0-sink) 0.98(662.0-refrigerator) 0.38(5025.0-book) 0.99(1593.0-clock) 0.90(1719.0-vase) 0.76(389.0-scissors) 0.93(1211.0-teddy bear) 0.03(62.0-hair drier) 0.60(407.0-toothbrush)
2021-11-01 07:15:57,035 - mmdet - INFO - pseudo ig: 0.65(237382.0-person) 0.45(5978.0-bicycle) 0.51(41911.0-car) 0.59(7951.0-motorcycle) 0.72(4263.0-airplane) 0.69(5187.0-bus) 0.63(4193.0-train) 0.36(10157.0-truck) 0.36(10042.0-boat) 0.39(13075.0-traffic light) 0.74(1656.0-fire hydrant) 0.65(1783.0-stop sign) 0.38(1248.0-parking meter) 0.23(9188.0-bench) 0.35(9875.0-bird) 0.74(4386.0-cat) 0.68(4658.0-dog) 0.64(5795.0-horse) 0.54(9453.0-sheep) 0.55(8143.0-cow) 0.81(4933.0-elephant) 0.70(1282.0-bear) 0.82(4770.0-zebra) 0.89(4292.0-giraffe) 0.24(8347.0-backpack) 0.43(11350.0-umbrella) 0.22(11572.0-handbag) 0.48(4916.0-tie) 0.42(4898.0-suitcase) 0.64(2316.0-frisbee) 0.37(5815.0-skis) 0.37(2370.0-snowboard) 0.41(5817.0-sports ball) 0.49(7719.0-kite) 0.42(3151.0-baseball bat) 0.49(3124.0-baseball glove) 0.61(5001.0-skateboard) 0.45(6535.0-surfboard) 0.69(4303.0-tennis racket) 0.44(21587.0-bottle) 0.47(7347.0-wine glass) 0.37(21834.0-cup) 0.30(5155.0-fork) 0.26(7140.0-knife) 0.22(6311.0-spoon) 0.38(15428.0-bowl) 0.28(10211.0-banana) 0.22(5459.0-apple) 0.36(4272.0-sandwich) 0.27(6919.0-orange) 0.39(6635.0-broccoli) 0.26(7134.0-carrot) 0.34(2374.0-hot dog) 0.57(5310.0-pizza) 0.45(6301.0-donut) 0.40(5588.0-cake) 0.32(36135.0-chair) 0.42(5845.0-couch) 0.38(8315.0-potted plant) 0.53(3657.0-bed) 0.37(14271.0-dining table) 0.73(3654.0-toilet) 0.64(5315.0-tv) 0.61(4841.0-laptop) 0.52(2107.0-mouse) 0.37(5358.0-remote) 0.50(2631.0-keyboard) 0.30(6124.0-cell phone) 0.59(1477.0-microwave) 0.38(3296.0-oven) 0.10(184.0-toaster) 0.48(5157.0-sink) 0.50(2364.0-refrigerator) 0.20(20168.0-book) 0.62(5447.0-clock) 0.39(6771.0-vase) 0.25(1476.0-scissors) 0.49(4756.0-teddy bear) 0.00(16.0-hair drier) 0.25(1643.0-toothbrush)
2021-11-01 07:15:57,036 - mmdet - INFO - pseudo gt: 305438.0 8415.0 51196.0 10448.0 6102.0 7383.0 5250.0 11702.0 12213.0 14938.0 2164.0 2342.0 1482.0 11894.0 12007.0 5503.0 6562.0 7475.0 11521.0 9736.0 6683.0 1577.0 6510.0 5987.0 10178.0 13408.0 14458.0 7684.0 7453.0 3150.0 7648.0 3236.0 7266.0 10832.0 3768.0 4497.0 6648.0 6943.0 5737.0 28457.0 9500.0 24101.0 6475.0 9277.0 7155.0 16465.0 10765.0 6657.0 5143.0 7212.0 8753.0 9054.0 3406.0 6845.0 8275.0 7570.0 45529.0 6925.0 10232.0 4954.0 18704.0 5000.0 7002.0 5919.0 2656.0 6727.0 3352.0 7481.0 2012.0 3858.0 233.0 6630.0 3211.0 28770.0 7640.0 7760.0 1614.0 5413.0 234.0 2224.0
2021-11-01 07:15:57,036 - mmdet - INFO - pseudo mining: 77197.0 361.0 8454.0 1150.0 1259.0 1898.0 1004.0 190.0 418.0 2049.0 909.0 1228.0 139.0 73.0 586.0 1115.0 951.0 1628.0 2405.0 1805.0 2756.0 578.0 2950.0 2969.0 45.0 998.0 44.0 749.0 281.0 1179.0 177.0 30.0 2163.0 2305.0 368.0 1104.0 1425.0 476.0 1778.0 2998.0 893.0 2822.0 38.0 77.0 52.0 1570.0 239.0 38.0 165.0 157.0 617.0 189.0 43.0 1251.0 1570.0 244.0 569.0 165.0 631.0 201.0 304.0 2088.0 2437.0 1226.0 944.0 390.0 472.0 568.0 448.0 321.0 0.0 1268.0 314.0 87.0 3865.0 810.0 15.0 548.0 0.0 27.0
2021-11-01 07:17:26,615 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 07:17:26,615 - mmdet - INFO - Iter [35000/40000]	lr: 2.000e-02, eta: 2:41:26, time: 1.674, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0466, loss_cls: 0.1870, acc: 93.3722, loss_bbox: 0.2339, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1855, acc_unlabeled: 92.7936, loss_bbox_unlabeled: 0.1877, losses_cls_ig_unlabeled: 0.1751, pseudo_num: 1.4929, pseudo_num_ig: 5.6724, pseudo_num_mining: 1.1227, pseudo_num(acc): 0.8897, pseudo_num ig(acc): 0.4935, loss: 1.2236
2021-11-01 07:18:54,597 - mmdet - INFO - Iter [35050/40000]	lr: 2.000e-02, eta: 2:40:00, time: 3.517, data_time: 1.787, memory: 26490, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0472, loss_cls: 0.1885, acc: 93.2795, loss_bbox: 0.2393, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1870, acc_unlabeled: 92.7274, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1777, pseudo_num: 1.4929, pseudo_num_ig: 5.6721, pseudo_num_mining: 1.1232, pseudo_num(acc): 0.8897, pseudo_num ig(acc): 0.4935, loss: 1.2377
2021-11-01 07:20:19,630 - mmdet - INFO - Iter [35100/40000]	lr: 2.000e-02, eta: 2:38:22, time: 1.700, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0473, loss_cls: 0.1938, acc: 93.0891, loss_bbox: 0.2434, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1781, acc_unlabeled: 92.6719, loss_bbox_unlabeled: 0.1837, losses_cls_ig_unlabeled: 0.1738, pseudo_num: 1.4929, pseudo_num_ig: 5.6723, pseudo_num_mining: 1.1236, pseudo_num(acc): 0.8897, pseudo_num ig(acc): 0.4935, loss: 1.2237
2021-11-01 07:21:46,379 - mmdet - INFO - Iter [35150/40000]	lr: 2.000e-02, eta: 2:36:43, time: 1.736, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0472, loss_cls: 0.1898, acc: 93.2313, loss_bbox: 0.2410, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0900, loss_cls_unlabeled: 0.1895, acc_unlabeled: 92.7075, loss_bbox_unlabeled: 0.1899, losses_cls_ig_unlabeled: 0.1769, pseudo_num: 1.4930, pseudo_num_ig: 5.6721, pseudo_num_mining: 1.1240, pseudo_num(acc): 0.8897, pseudo_num ig(acc): 0.4935, loss: 1.2374
2021-11-01 07:23:12,083 - mmdet - INFO - Iter [35200/40000]	lr: 2.000e-02, eta: 2:35:05, time: 1.713, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0465, loss_cls: 0.1876, acc: 93.2755, loss_bbox: 0.2396, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0875, loss_cls_unlabeled: 0.1828, acc_unlabeled: 92.8441, loss_bbox_unlabeled: 0.1873, losses_cls_ig_unlabeled: 0.1706, pseudo_num: 1.4931, pseudo_num_ig: 5.6720, pseudo_num_mining: 1.1243, pseudo_num(acc): 0.8898, pseudo_num ig(acc): 0.4935, loss: 1.2183
2021-11-01 07:24:37,188 - mmdet - INFO - Iter [35250/40000]	lr: 2.000e-02, eta: 2:33:26, time: 1.704, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0447, loss_cls: 0.1958, acc: 92.9384, loss_bbox: 0.2442, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1854, acc_unlabeled: 92.6687, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1747, pseudo_num: 1.4930, pseudo_num_ig: 5.6717, pseudo_num_mining: 1.1247, pseudo_num(acc): 0.8898, pseudo_num ig(acc): 0.4935, loss: 1.2332
2021-11-01 07:26:01,005 - mmdet - INFO - Iter [35300/40000]	lr: 2.000e-02, eta: 2:31:48, time: 1.675, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0471, loss_cls: 0.1918, acc: 93.1117, loss_bbox: 0.2399, loss_rpn_cls_unlabeled: 0.0845, loss_rpn_bbox_unlabeled: 0.0843, loss_cls_unlabeled: 0.1821, acc_unlabeled: 92.8339, loss_bbox_unlabeled: 0.1825, losses_cls_ig_unlabeled: 0.1766, pseudo_num: 1.4929, pseudo_num_ig: 5.6714, pseudo_num_mining: 1.1251, pseudo_num(acc): 0.8898, pseudo_num ig(acc): 0.4936, loss: 1.2177
2021-11-01 07:27:26,738 - mmdet - INFO - Iter [35350/40000]	lr: 2.000e-02, eta: 2:30:09, time: 1.713, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0498, loss_cls: 0.2014, acc: 92.8893, loss_bbox: 0.2525, loss_rpn_cls_unlabeled: 0.0905, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1919, acc_unlabeled: 92.7622, loss_bbox_unlabeled: 0.1890, losses_cls_ig_unlabeled: 0.1823, pseudo_num: 1.4928, pseudo_num_ig: 5.6709, pseudo_num_mining: 1.1254, pseudo_num(acc): 0.8898, pseudo_num ig(acc): 0.4936, loss: 1.2816
2021-11-01 07:28:51,816 - mmdet - INFO - Iter [35400/40000]	lr: 2.000e-02, eta: 2:28:31, time: 1.704, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0474, loss_cls: 0.1938, acc: 93.0500, loss_bbox: 0.2457, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1833, acc_unlabeled: 92.7838, loss_bbox_unlabeled: 0.1845, losses_cls_ig_unlabeled: 0.1750, pseudo_num: 1.4929, pseudo_num_ig: 5.6709, pseudo_num_mining: 1.1257, pseudo_num(acc): 0.8898, pseudo_num ig(acc): 0.4936, loss: 1.2364
2021-11-01 07:30:16,627 - mmdet - INFO - Iter [35450/40000]	lr: 2.000e-02, eta: 2:26:52, time: 1.696, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0488, loss_cls: 0.1946, acc: 93.0909, loss_bbox: 0.2414, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1935, acc_unlabeled: 92.4196, loss_bbox_unlabeled: 0.1924, losses_cls_ig_unlabeled: 0.1827, pseudo_num: 1.4929, pseudo_num_ig: 5.6708, pseudo_num_mining: 1.1261, pseudo_num(acc): 0.8899, pseudo_num ig(acc): 0.4936, loss: 1.2577
2021-11-01 07:31:38,998 - mmdet - INFO - pseudo pos: 0.98(66057.0-person) 0.94(1542.0-bicycle) 0.94(10988.0-car) 0.98(1994.0-motorcycle) 0.99(1221.0-airplane) 1.00(1276.0-bus) 0.99(1271.0-train) 0.79(2638.0-truck) 0.79(2774.0-boat) 0.92(3487.0-traffic light) 0.99(386.0-fire hydrant) 0.99(427.0-stop sign) 0.95(317.0-parking meter) 0.78(2580.0-bench) 0.94(2477.0-bird) 0.98(1339.0-cat) 0.98(1292.0-dog) 0.99(1569.0-horse) 0.95(2527.0-sheep) 0.96(1943.0-cow) 1.00(1193.0-elephant) 0.99(375.0-bear) 0.99(1247.0-zebra) 0.99(1260.0-giraffe) 0.62(2106.0-backpack) 0.86(2975.0-umbrella) 0.58(2817.0-handbag) 0.94(1284.0-tie) 0.84(1348.0-suitcase) 1.00(603.0-frisbee) 0.79(1552.0-skis) 0.83(611.0-snowboard) 0.98(1572.0-sports ball) 0.91(2116.0-kite) 0.92(784.0-baseball bat) 0.97(856.0-baseball glove) 0.99(1302.0-skateboard) 0.92(1744.0-surfboard) 0.99(1054.0-tennis racket) 0.89(5378.0-bottle) 0.95(1820.0-wine glass) 0.91(5538.0-cup) 0.85(1203.0-fork) 0.61(1901.0-knife) 0.57(1494.0-spoon) 0.83(3942.0-bowl) 0.71(2480.0-banana) 0.58(1219.0-apple) 0.83(1245.0-sandwich) 0.67(1752.0-orange) 0.71(1719.0-broccoli) 0.60(1885.0-carrot) 0.84(670.0-hot dog) 0.96(1484.0-pizza) 0.93(1742.0-donut) 0.90(1438.0-cake) 0.82(9500.0-chair) 0.87(1546.0-couch) 0.78(2270.0-potted plant) 0.96(1106.0-bed) 0.75(4880.0-dining table) 0.95(840.0-toilet) 0.98(1258.0-tv) 0.98(1164.0-laptop) 0.98(520.0-mouse) 0.81(1231.0-remote) 0.99(689.0-keyboard) 0.85(1671.0-cell phone) 0.99(360.0-microwave) 0.91(907.0-oven) 0.33(58.0-toaster) 0.87(1304.0-sink) 0.98(670.0-refrigerator) 0.38(5098.0-book) 0.99(1618.0-clock) 0.90(1747.0-vase) 0.76(394.0-scissors) 0.93(1227.0-teddy bear) 0.03(62.0-hair drier) 0.60(409.0-toothbrush)
2021-11-01 07:31:38,998 - mmdet - INFO - pseudo ig: 0.65(240548.0-person) 0.45(6088.0-bicycle) 0.51(42511.0-car) 0.59(8075.0-motorcycle) 0.71(4329.0-airplane) 0.69(5258.0-bus) 0.63(4241.0-train) 0.36(10303.0-truck) 0.37(10208.0-boat) 0.39(13297.0-traffic light) 0.74(1676.0-fire hydrant) 0.65(1809.0-stop sign) 0.38(1265.0-parking meter) 0.23(9318.0-bench) 0.35(10021.0-bird) 0.74(4462.0-cat) 0.68(4720.0-dog) 0.64(5897.0-horse) 0.54(9542.0-sheep) 0.55(8256.0-cow) 0.81(4993.0-elephant) 0.70(1293.0-bear) 0.81(4840.0-zebra) 0.89(4368.0-giraffe) 0.24(8456.0-backpack) 0.43(11485.0-umbrella) 0.22(11734.0-handbag) 0.48(4996.0-tie) 0.42(5000.0-suitcase) 0.64(2345.0-frisbee) 0.37(5900.0-skis) 0.37(2408.0-snowboard) 0.41(5913.0-sports ball) 0.49(7800.0-kite) 0.42(3207.0-baseball bat) 0.49(3159.0-baseball glove) 0.61(5088.0-skateboard) 0.45(6607.0-surfboard) 0.69(4371.0-tennis racket) 0.44(21951.0-bottle) 0.47(7437.0-wine glass) 0.37(22120.0-cup) 0.30(5236.0-fork) 0.26(7256.0-knife) 0.21(6407.0-spoon) 0.38(15653.0-bowl) 0.28(10374.0-banana) 0.22(5521.0-apple) 0.36(4324.0-sandwich) 0.27(7021.0-orange) 0.39(6693.0-broccoli) 0.26(7262.0-carrot) 0.34(2411.0-hot dog) 0.57(5405.0-pizza) 0.45(6362.0-donut) 0.40(5676.0-cake) 0.32(36696.0-chair) 0.42(5918.0-couch) 0.38(8450.0-potted plant) 0.53(3709.0-bed) 0.37(14495.0-dining table) 0.73(3734.0-toilet) 0.64(5380.0-tv) 0.60(4922.0-laptop) 0.52(2132.0-mouse) 0.37(5445.0-remote) 0.50(2670.0-keyboard) 0.30(6223.0-cell phone) 0.59(1493.0-microwave) 0.38(3337.0-oven) 0.10(185.0-toaster) 0.48(5223.0-sink) 0.50(2383.0-refrigerator) 0.20(20367.0-book) 0.62(5531.0-clock) 0.39(6892.0-vase) 0.25(1505.0-scissors) 0.49(4811.0-teddy bear) 0.00(16.0-hair drier) 0.25(1670.0-toothbrush)
2021-11-01 07:31:38,998 - mmdet - INFO - pseudo gt: 309668.0 8533.0 51974.0 10649.0 6188.0 7488.0 5310.0 11887.0 12441.0 15165.0 2205.0 2367.0 1501.0 12061.0 12142.0 5577.0 6670.0 7588.0 11609.0 9903.0 6756.0 1596.0 6589.0 6084.0 10347.0 13580.0 14669.0 7792.0 7577.0 3187.0 7770.0 3294.0 7389.0 10951.0 3824.0 4573.0 6765.0 7038.0 5845.0 28879.0 9605.0 24418.0 6590.0 9429.0 7248.0 16741.0 10904.0 6737.0 5214.0 7307.0 8869.0 9188.0 3461.0 6962.0 8359.0 7664.0 46125.0 7021.0 10394.0 5021.0 18982.0 5080.0 7084.0 5982.0 2685.0 6814.0 3387.0 7577.0 2031.0 3908.0 237.0 6727.0 3238.0 29048.0 7746.0 7875.0 1629.0 5462.0 236.0 2249.0
2021-11-01 07:31:38,998 - mmdet - INFO - pseudo mining: 78516.0 364.0 8630.0 1186.0 1282.0 1935.0 1019.0 196.0 438.0 2087.0 922.0 1249.0 145.0 74.0 595.0 1148.0 973.0 1668.0 2437.0 1827.0 2791.0 586.0 2988.0 3029.0 47.0 1013.0 46.0 769.0 296.0 1197.0 179.0 31.0 2201.0 2322.0 379.0 1122.0 1454.0 483.0 1807.0 3069.0 902.0 2886.0 38.0 77.0 55.0 1624.0 242.0 39.0 166.0 157.0 630.0 202.0 45.0 1284.0 1589.0 246.0 578.0 166.0 641.0 204.0 311.0 2130.0 2473.0 1240.0 955.0 395.0 478.0 585.0 455.0 330.0 0.0 1293.0 317.0 89.0 3922.0 829.0 15.0 554.0 0.0 28.0
2021-11-01 07:31:41,081 - mmdet - INFO - Iter [35500/40000]	lr: 2.000e-02, eta: 2:25:14, time: 1.687, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0446, loss_cls: 0.1858, acc: 93.3280, loss_bbox: 0.2407, loss_rpn_cls_unlabeled: 0.0828, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1921, acc_unlabeled: 92.6116, loss_bbox_unlabeled: 0.1940, losses_cls_ig_unlabeled: 0.1828, pseudo_num: 1.4930, pseudo_num_ig: 5.6708, pseudo_num_mining: 1.1265, pseudo_num(acc): 0.8899, pseudo_num ig(acc): 0.4936, loss: 1.2402
2021-11-01 07:33:05,587 - mmdet - INFO - Iter [35550/40000]	lr: 2.000e-02, eta: 2:23:36, time: 1.693, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0451, loss_cls: 0.1993, acc: 92.9871, loss_bbox: 0.2451, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.2052, acc_unlabeled: 92.4498, loss_bbox_unlabeled: 0.1967, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.4930, pseudo_num_ig: 5.6708, pseudo_num_mining: 1.1269, pseudo_num(acc): 0.8899, pseudo_num ig(acc): 0.4936, loss: 1.2883
2021-11-01 07:34:32,437 - mmdet - INFO - Iter [35600/40000]	lr: 2.000e-02, eta: 2:21:58, time: 1.737, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0459, loss_cls: 0.1905, acc: 93.2334, loss_bbox: 0.2405, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1873, acc_unlabeled: 92.6580, loss_bbox_unlabeled: 0.1825, losses_cls_ig_unlabeled: 0.1787, pseudo_num: 1.4930, pseudo_num_ig: 5.6710, pseudo_num_mining: 1.1274, pseudo_num(acc): 0.8899, pseudo_num ig(acc): 0.4936, loss: 1.2327
2021-11-01 07:35:56,097 - mmdet - INFO - Iter [35650/40000]	lr: 2.000e-02, eta: 2:20:19, time: 1.671, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0472, loss_cls: 0.1975, acc: 92.9938, loss_bbox: 0.2444, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1865, acc_unlabeled: 92.7151, loss_bbox_unlabeled: 0.1826, losses_cls_ig_unlabeled: 0.1800, pseudo_num: 1.4930, pseudo_num_ig: 5.6708, pseudo_num_mining: 1.1277, pseudo_num(acc): 0.8899, pseudo_num ig(acc): 0.4937, loss: 1.2435
2021-11-01 07:37:20,597 - mmdet - INFO - Iter [35700/40000]	lr: 2.000e-02, eta: 2:18:41, time: 1.689, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0460, loss_cls: 0.1957, acc: 93.0620, loss_bbox: 0.2447, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1909, acc_unlabeled: 92.5618, loss_bbox_unlabeled: 0.1915, losses_cls_ig_unlabeled: 0.1810, pseudo_num: 1.4930, pseudo_num_ig: 5.6708, pseudo_num_mining: 1.1281, pseudo_num(acc): 0.8900, pseudo_num ig(acc): 0.4937, loss: 1.2581
2021-11-01 07:38:46,830 - mmdet - INFO - Iter [35750/40000]	lr: 2.000e-02, eta: 2:17:03, time: 1.725, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0468, loss_cls: 0.1905, acc: 93.1492, loss_bbox: 0.2411, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1873, acc_unlabeled: 92.5206, loss_bbox_unlabeled: 0.1871, losses_cls_ig_unlabeled: 0.1811, pseudo_num: 1.4930, pseudo_num_ig: 5.6710, pseudo_num_mining: 1.1286, pseudo_num(acc): 0.8900, pseudo_num ig(acc): 0.4937, loss: 1.2403
2021-11-01 07:40:11,182 - mmdet - INFO - Iter [35800/40000]	lr: 2.000e-02, eta: 2:15:25, time: 1.689, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0462, loss_cls: 0.1935, acc: 93.1776, loss_bbox: 0.2388, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0896, loss_cls_unlabeled: 0.1857, acc_unlabeled: 92.7572, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1762, pseudo_num: 1.4929, pseudo_num_ig: 5.6708, pseudo_num_mining: 1.1289, pseudo_num(acc): 0.8900, pseudo_num ig(acc): 0.4937, loss: 1.2304
2021-11-01 07:41:35,933 - mmdet - INFO - Iter [35850/40000]	lr: 2.000e-02, eta: 2:13:47, time: 1.695, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0451, loss_cls: 0.1908, acc: 93.1774, loss_bbox: 0.2404, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0899, loss_cls_unlabeled: 0.1867, acc_unlabeled: 92.6584, loss_bbox_unlabeled: 0.1873, losses_cls_ig_unlabeled: 0.1769, pseudo_num: 1.4929, pseudo_num_ig: 5.6706, pseudo_num_mining: 1.1292, pseudo_num(acc): 0.8900, pseudo_num ig(acc): 0.4937, loss: 1.2306
2021-11-01 07:43:00,953 - mmdet - INFO - Iter [35900/40000]	lr: 2.000e-02, eta: 2:12:08, time: 1.700, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0469, loss_cls: 0.1925, acc: 93.1375, loss_bbox: 0.2414, loss_rpn_cls_unlabeled: 0.0845, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1827, acc_unlabeled: 92.5802, loss_bbox_unlabeled: 0.1877, losses_cls_ig_unlabeled: 0.1758, pseudo_num: 1.4929, pseudo_num_ig: 5.6705, pseudo_num_mining: 1.1296, pseudo_num(acc): 0.8900, pseudo_num ig(acc): 0.4938, loss: 1.2342
2021-11-01 07:44:25,551 - mmdet - INFO - Iter [35950/40000]	lr: 2.000e-02, eta: 2:10:30, time: 1.692, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0490, loss_cls: 0.1987, acc: 92.9843, loss_bbox: 0.2468, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0887, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.7708, loss_bbox_unlabeled: 0.1891, losses_cls_ig_unlabeled: 0.1781, pseudo_num: 1.4929, pseudo_num_ig: 5.6707, pseudo_num_mining: 1.1300, pseudo_num(acc): 0.8901, pseudo_num ig(acc): 0.4938, loss: 1.2575
2021-11-01 07:45:48,927 - mmdet - INFO - pseudo pos: 0.98(67003.0-person) 0.94(1573.0-bicycle) 0.94(11132.0-car) 0.98(2018.0-motorcycle) 0.99(1236.0-airplane) 1.00(1308.0-bus) 0.99(1286.0-train) 0.79(2691.0-truck) 0.79(2807.0-boat) 0.92(3543.0-traffic light) 0.99(388.0-fire hydrant) 0.99(437.0-stop sign) 0.95(319.0-parking meter) 0.79(2614.0-bench) 0.94(2509.0-bird) 0.98(1350.0-cat) 0.98(1304.0-dog) 0.99(1605.0-horse) 0.95(2562.0-sheep) 0.96(1968.0-cow) 1.00(1217.0-elephant) 0.99(376.0-bear) 0.99(1285.0-zebra) 0.99(1278.0-giraffe) 0.62(2126.0-backpack) 0.86(3013.0-umbrella) 0.58(2841.0-handbag) 0.94(1304.0-tie) 0.84(1370.0-suitcase) 1.00(612.0-frisbee) 0.79(1566.0-skis) 0.83(620.0-snowboard) 0.98(1594.0-sports ball) 0.91(2147.0-kite) 0.92(799.0-baseball bat) 0.97(875.0-baseball glove) 0.99(1321.0-skateboard) 0.92(1769.0-surfboard) 0.99(1072.0-tennis racket) 0.89(5445.0-bottle) 0.96(1849.0-wine glass) 0.91(5616.0-cup) 0.85(1218.0-fork) 0.61(1925.0-knife) 0.57(1515.0-spoon) 0.83(3994.0-bowl) 0.71(2532.0-banana) 0.57(1221.0-apple) 0.83(1266.0-sandwich) 0.67(1790.0-orange) 0.71(1727.0-broccoli) 0.60(1921.0-carrot) 0.84(681.0-hot dog) 0.96(1490.0-pizza) 0.93(1763.0-donut) 0.90(1480.0-cake) 0.82(9630.0-chair) 0.87(1573.0-couch) 0.78(2301.0-potted plant) 0.96(1117.0-bed) 0.75(4968.0-dining table) 0.96(847.0-toilet) 0.98(1270.0-tv) 0.98(1179.0-laptop) 0.98(524.0-mouse) 0.81(1253.0-remote) 0.99(695.0-keyboard) 0.85(1696.0-cell phone) 0.99(362.0-microwave) 0.91(915.0-oven) 0.34(59.0-toaster) 0.87(1322.0-sink) 0.98(682.0-refrigerator) 0.39(5178.0-book) 0.98(1640.0-clock) 0.90(1771.0-vase) 0.77(405.0-scissors) 0.93(1231.0-teddy bear) 0.03(62.0-hair drier) 0.61(424.0-toothbrush)
2021-11-01 07:45:48,927 - mmdet - INFO - pseudo ig: 0.65(244069.0-person) 0.45(6186.0-bicycle) 0.51(43101.0-car) 0.59(8148.0-motorcycle) 0.71(4408.0-airplane) 0.69(5328.0-bus) 0.63(4318.0-train) 0.36(10446.0-truck) 0.37(10354.0-boat) 0.39(13465.0-traffic light) 0.74(1697.0-fire hydrant) 0.65(1847.0-stop sign) 0.38(1277.0-parking meter) 0.23(9453.0-bench) 0.35(10181.0-bird) 0.75(4521.0-cat) 0.68(4784.0-dog) 0.64(5985.0-horse) 0.54(9658.0-sheep) 0.55(8378.0-cow) 0.81(5036.0-elephant) 0.71(1309.0-bear) 0.82(4898.0-zebra) 0.89(4409.0-giraffe) 0.24(8550.0-backpack) 0.43(11634.0-umbrella) 0.22(11875.0-handbag) 0.48(5075.0-tie) 0.42(5087.0-suitcase) 0.64(2377.0-frisbee) 0.37(5979.0-skis) 0.37(2444.0-snowboard) 0.41(6046.0-sports ball) 0.49(7922.0-kite) 0.42(3268.0-baseball bat) 0.49(3197.0-baseball glove) 0.61(5154.0-skateboard) 0.45(6701.0-surfboard) 0.69(4455.0-tennis racket) 0.44(22328.0-bottle) 0.47(7565.0-wine glass) 0.37(22492.0-cup) 0.30(5306.0-fork) 0.26(7351.0-knife) 0.21(6510.0-spoon) 0.38(15900.0-bowl) 0.28(10548.0-banana) 0.22(5646.0-apple) 0.36(4398.0-sandwich) 0.27(7192.0-orange) 0.40(6751.0-broccoli) 0.26(7383.0-carrot) 0.34(2436.0-hot dog) 0.57(5473.0-pizza) 0.45(6457.0-donut) 0.40(5773.0-cake) 0.32(37186.0-chair) 0.42(5990.0-couch) 0.37(8568.0-potted plant) 0.53(3752.0-bed) 0.37(14687.0-dining table) 0.73(3788.0-toilet) 0.64(5447.0-tv) 0.60(4989.0-laptop) 0.52(2153.0-mouse) 0.37(5525.0-remote) 0.49(2718.0-keyboard) 0.30(6318.0-cell phone) 0.59(1515.0-microwave) 0.38(3393.0-oven) 0.10(191.0-toaster) 0.48(5276.0-sink) 0.50(2401.0-refrigerator) 0.20(20648.0-book) 0.62(5627.0-clock) 0.39(6994.0-vase) 0.25(1544.0-scissors) 0.49(4905.0-teddy bear) 0.00(16.0-hair drier) 0.25(1713.0-toothbrush)
2021-11-01 07:45:48,927 - mmdet - INFO - pseudo gt: 314429.0 8643.0 52748.0 10778.0 6281.0 7589.0 5388.0 12082.0 12608.0 15369.0 2229.0 2414.0 1520.0 12242.0 12335.0 5645.0 6744.0 7700.0 11780.0 10009.0 6818.0 1628.0 6687.0 6147.0 10473.0 13776.0 14856.0 7897.0 7707.0 3230.0 7878.0 3339.0 7539.0 11139.0 3881.0 4640.0 6857.0 7122.0 5957.0 29261.0 9799.0 24794.0 6688.0 9551.0 7347.0 16992.0 11131.0 6849.0 5318.0 7474.0 8960.0 9363.0 3493.0 7027.0 8475.0 7799.0 46791.0 7110.0 10522.0 5075.0 19286.0 5174.0 7163.0 6042.0 2711.0 6904.0 3415.0 7670.0 2053.0 3964.0 238.0 6818.0 3279.0 29411.0 7864.0 7967.0 1669.0 5533.0 236.0 2308.0
2021-11-01 07:45:48,927 - mmdet - INFO - pseudo mining: 79932.0 371.0 8801.0 1218.0 1307.0 1969.0 1040.0 202.0 448.0 2119.0 938.0 1279.0 150.0 78.0 604.0 1173.0 989.0 1699.0 2488.0 1842.0 2826.0 596.0 3024.0 3056.0 47.0 1031.0 47.0 792.0 301.0 1215.0 185.0 31.0 2253.0 2349.0 397.0 1139.0 1474.0 493.0 1837.0 3131.0 923.0 2959.0 38.0 79.0 57.0 1665.0 245.0 41.0 169.0 162.0 647.0 207.0 45.0 1301.0 1612.0 248.0 596.0 170.0 654.0 208.0 317.0 2163.0 2512.0 1260.0 968.0 405.0 484.0 605.0 466.0 343.0 0.0 1311.0 318.0 92.0 3984.0 842.0 15.0 563.0 0.0 28.0
2021-11-01 07:46:47,277 - mmdet - INFO - Evaluating bbox...
2021-11-01 07:47:57,391 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.464 | bicycle      | 0.235 | car            | 0.379 |
| motorcycle    | 0.339 | airplane     | 0.548 | bus            | 0.555 |
| train         | 0.513 | truck        | 0.238 | boat           | 0.208 |
| traffic light | 0.244 | fire hydrant | 0.540 | stop sign      | 0.578 |
| parking meter | 0.415 | bench        | 0.166 | bird           | 0.258 |
| cat           | 0.495 | dog          | 0.440 | horse          | 0.449 |
| sheep         | 0.386 | cow          | 0.374 | elephant       | 0.521 |
| bear          | 0.605 | zebra        | 0.558 | giraffe        | 0.572 |
| backpack      | 0.100 | umbrella     | 0.282 | handbag        | 0.082 |
| tie           | 0.223 | suitcase     | 0.227 | frisbee        | 0.560 |
| skis          | 0.166 | snowboard    | 0.215 | sports ball    | 0.396 |
| kite          | 0.323 | baseball bat | 0.180 | baseball glove | 0.288 |
| skateboard    | 0.387 | surfboard    | 0.282 | tennis racket  | 0.368 |
| bottle        | 0.314 | wine glass   | 0.272 | cup            | 0.333 |
| fork          | 0.187 | knife        | 0.105 | spoon          | 0.093 |
| bowl          | 0.336 | banana       | 0.155 | apple          | 0.119 |
| sandwich      | 0.231 | orange       | 0.231 | broccoli       | 0.172 |
| carrot        | 0.099 | hot dog      | 0.160 | pizza          | 0.400 |
| donut         | 0.266 | cake         | 0.220 | chair          | 0.184 |
| couch         | 0.283 | potted plant | 0.185 | bed            | 0.298 |
| dining table  | 0.190 | toilet       | 0.485 | tv             | 0.484 |
| laptop        | 0.484 | mouse        | 0.531 | remote         | 0.184 |
| keyboard      | 0.406 | cell phone   | 0.270 | microwave      | 0.460 |
| oven          | 0.266 | toaster      | 0.271 | sink           | 0.292 |
| refrigerator  | 0.410 | book         | 0.083 | clock          | 0.438 |
| vase          | 0.287 | scissors     | 0.222 | teddy bear     | 0.306 |
| hair drier    | 0.000 | toothbrush   | 0.130 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 07:48:52,734 - mmdet - INFO - Evaluating bbox...
2021-11-01 07:50:02,456 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.486 | bicycle      | 0.250 | car            | 0.396 |
| motorcycle    | 0.367 | airplane     | 0.561 | bus            | 0.571 |
| train         | 0.544 | truck        | 0.274 | boat           | 0.217 |
| traffic light | 0.246 | fire hydrant | 0.589 | stop sign      | 0.607 |
| parking meter | 0.439 | bench        | 0.184 | bird           | 0.286 |
| cat           | 0.554 | dog          | 0.515 | horse          | 0.504 |
| sheep         | 0.427 | cow          | 0.498 | elephant       | 0.557 |
| bear          | 0.639 | zebra        | 0.580 | giraffe        | 0.619 |
| backpack      | 0.117 | umbrella     | 0.302 | handbag        | 0.099 |
| tie           | 0.244 | suitcase     | 0.258 | frisbee        | 0.604 |
| skis          | 0.169 | snowboard    | 0.237 | sports ball    | 0.403 |
| kite          | 0.355 | baseball bat | 0.217 | baseball glove | 0.315 |
| skateboard    | 0.441 | surfboard    | 0.298 | tennis racket  | 0.401 |
| bottle        | 0.342 | wine glass   | 0.298 | cup            | 0.364 |
| fork          | 0.220 | knife        | 0.119 | spoon          | 0.105 |
| bowl          | 0.373 | banana       | 0.180 | apple          | 0.141 |
| sandwich      | 0.276 | orange       | 0.261 | broccoli       | 0.189 |
| carrot        | 0.134 | hot dog      | 0.219 | pizza          | 0.433 |
| donut         | 0.357 | cake         | 0.254 | chair          | 0.200 |
| couch         | 0.337 | potted plant | 0.195 | bed            | 0.352 |
| dining table  | 0.206 | toilet       | 0.523 | tv             | 0.503 |
| laptop        | 0.517 | mouse        | 0.551 | remote         | 0.228 |
| keyboard      | 0.434 | cell phone   | 0.289 | microwave      | 0.489 |
| oven          | 0.279 | toaster      | 0.310 | sink           | 0.308 |
| refrigerator  | 0.438 | book         | 0.075 | clock          | 0.448 |
| vase          | 0.331 | scissors     | 0.216 | teddy bear     | 0.369 |
| hair drier    | 0.002 | toothbrush   | 0.149 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 07:51:30,940 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 07:51:30,940 - mmdet - INFO - Iter [36000/40000]	lr: 2.000e-02, eta: 2:08:52, time: 1.697, data_time: 0.031, memory: 26490, bbox_mAP: 0.3420, bbox_mAP_50: 0.5430, bbox_mAP_75: 0.3710, bbox_mAP_s: 0.2020, bbox_mAP_m: 0.3750, bbox_mAP_l: 0.4480, bbox_mAP_copypaste: 0.342 0.543 0.371 0.202 0.375 0.448, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0452, loss_cls: 0.1917, acc: 93.1577, loss_bbox: 0.2427, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0869, loss_cls_unlabeled: 0.1862, acc_unlabeled: 92.8000, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1817, pseudo_num: 1.4929, pseudo_num_ig: 5.6706, pseudo_num_mining: 1.1304, pseudo_num(acc): 0.8901, pseudo_num ig(acc): 0.4938, loss: 1.2350
2021-11-01 07:52:54,022 - mmdet - INFO - Iter [36050/40000]	lr: 2.000e-02, eta: 2:07:52, time: 8.473, data_time: 6.840, memory: 26490, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0449, loss_cls: 0.1943, acc: 93.1527, loss_bbox: 0.2405, loss_rpn_cls_unlabeled: 0.0825, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1889, acc_unlabeled: 92.7308, loss_bbox_unlabeled: 0.1865, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.4929, pseudo_num_ig: 5.6705, pseudo_num_mining: 1.1308, pseudo_num(acc): 0.8901, pseudo_num ig(acc): 0.4938, loss: 1.2392
2021-11-01 07:54:20,509 - mmdet - INFO - Iter [36100/40000]	lr: 2.000e-02, eta: 2:06:13, time: 1.730, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0448, loss_cls: 0.1961, acc: 93.0853, loss_bbox: 0.2426, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1793, acc_unlabeled: 92.6953, loss_bbox_unlabeled: 0.1781, losses_cls_ig_unlabeled: 0.1788, pseudo_num: 1.4928, pseudo_num_ig: 5.6707, pseudo_num_mining: 1.1313, pseudo_num(acc): 0.8901, pseudo_num ig(acc): 0.4939, loss: 1.2245
2021-11-01 07:55:44,217 - mmdet - INFO - Iter [36150/40000]	lr: 2.000e-02, eta: 2:04:35, time: 1.674, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0459, loss_cls: 0.1925, acc: 93.1262, loss_bbox: 0.2392, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0901, loss_cls_unlabeled: 0.1897, acc_unlabeled: 92.4159, loss_bbox_unlabeled: 0.1887, losses_cls_ig_unlabeled: 0.1872, pseudo_num: 1.4927, pseudo_num_ig: 5.6707, pseudo_num_mining: 1.1317, pseudo_num(acc): 0.8902, pseudo_num ig(acc): 0.4939, loss: 1.2444
2021-11-01 07:57:11,014 - mmdet - INFO - Iter [36200/40000]	lr: 2.000e-02, eta: 2:02:57, time: 1.735, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0460, loss_cls: 0.1911, acc: 93.1692, loss_bbox: 0.2401, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1816, acc_unlabeled: 92.7013, loss_bbox_unlabeled: 0.1869, losses_cls_ig_unlabeled: 0.1744, pseudo_num: 1.4928, pseudo_num_ig: 5.6706, pseudo_num_mining: 1.1321, pseudo_num(acc): 0.8902, pseudo_num ig(acc): 0.4939, loss: 1.2254
2021-11-01 07:58:37,377 - mmdet - INFO - Iter [36250/40000]	lr: 2.000e-02, eta: 2:01:18, time: 1.726, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0464, loss_cls: 0.1924, acc: 93.1025, loss_bbox: 0.2422, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1894, acc_unlabeled: 92.5339, loss_bbox_unlabeled: 0.1835, losses_cls_ig_unlabeled: 0.1857, pseudo_num: 1.4927, pseudo_num_ig: 5.6707, pseudo_num_mining: 1.1325, pseudo_num(acc): 0.8902, pseudo_num ig(acc): 0.4939, loss: 1.2428
2021-11-01 08:00:02,332 - mmdet - INFO - Iter [36300/40000]	lr: 2.000e-02, eta: 1:59:40, time: 1.694, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0479, loss_cls: 0.1993, acc: 92.8641, loss_bbox: 0.2528, loss_rpn_cls_unlabeled: 0.0864, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1859, acc_unlabeled: 92.6133, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1801, pseudo_num: 1.4926, pseudo_num_ig: 5.6707, pseudo_num_mining: 1.1329, pseudo_num(acc): 0.8902, pseudo_num ig(acc): 0.4940, loss: 1.2566
2021-11-01 08:01:28,421 - mmdet - INFO - Iter [36350/40000]	lr: 2.000e-02, eta: 1:58:02, time: 1.726, data_time: 0.035, memory: 26490, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0461, loss_cls: 0.1895, acc: 93.3048, loss_bbox: 0.2376, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1906, acc_unlabeled: 92.4508, loss_bbox_unlabeled: 0.1939, losses_cls_ig_unlabeled: 0.1859, pseudo_num: 1.4926, pseudo_num_ig: 5.6710, pseudo_num_mining: 1.1334, pseudo_num(acc): 0.8902, pseudo_num ig(acc): 0.4940, loss: 1.2552
2021-11-01 08:02:52,398 - mmdet - INFO - Iter [36400/40000]	lr: 2.000e-02, eta: 1:56:24, time: 1.679, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0469, loss_cls: 0.1943, acc: 93.1538, loss_bbox: 0.2393, loss_rpn_cls_unlabeled: 0.0805, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1893, acc_unlabeled: 92.5144, loss_bbox_unlabeled: 0.1872, losses_cls_ig_unlabeled: 0.1837, pseudo_num: 1.4925, pseudo_num_ig: 5.6715, pseudo_num_mining: 1.1340, pseudo_num(acc): 0.8902, pseudo_num ig(acc): 0.4940, loss: 1.2449
2021-11-01 08:04:15,753 - mmdet - INFO - Iter [36450/40000]	lr: 2.000e-02, eta: 1:54:45, time: 1.670, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0474, loss_cls: 0.1939, acc: 93.1140, loss_bbox: 0.2423, loss_rpn_cls_unlabeled: 0.0789, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.6198, loss_bbox_unlabeled: 0.1840, losses_cls_ig_unlabeled: 0.1805, pseudo_num: 1.4924, pseudo_num_ig: 5.6716, pseudo_num_mining: 1.1345, pseudo_num(acc): 0.8902, pseudo_num ig(acc): 0.4941, loss: 1.2344
2021-11-01 08:05:37,972 - mmdet - INFO - pseudo pos: 0.98(67960.0-person) 0.94(1593.0-bicycle) 0.94(11259.0-car) 0.98(2035.0-motorcycle) 0.99(1252.0-airplane) 1.00(1324.0-bus) 0.99(1303.0-train) 0.79(2737.0-truck) 0.79(2849.0-boat) 0.92(3588.0-traffic light) 0.99(395.0-fire hydrant) 0.99(440.0-stop sign) 0.95(324.0-parking meter) 0.79(2646.0-bench) 0.94(2537.0-bird) 0.98(1375.0-cat) 0.98(1323.0-dog) 0.99(1630.0-horse) 0.95(2579.0-sheep) 0.96(1993.0-cow) 1.00(1229.0-elephant) 0.99(383.0-bear) 0.99(1304.0-zebra) 0.99(1294.0-giraffe) 0.62(2156.0-backpack) 0.86(3042.0-umbrella) 0.58(2902.0-handbag) 0.94(1327.0-tie) 0.84(1391.0-suitcase) 1.00(623.0-frisbee) 0.79(1580.0-skis) 0.83(627.0-snowboard) 0.98(1617.0-sports ball) 0.91(2159.0-kite) 0.92(808.0-baseball bat) 0.97(885.0-baseball glove) 0.99(1333.0-skateboard) 0.92(1792.0-surfboard) 0.99(1089.0-tennis racket) 0.89(5517.0-bottle) 0.96(1882.0-wine glass) 0.91(5686.0-cup) 0.85(1235.0-fork) 0.61(1947.0-knife) 0.57(1534.0-spoon) 0.83(4070.0-bowl) 0.71(2551.0-banana) 0.57(1241.0-apple) 0.83(1289.0-sandwich) 0.67(1823.0-orange) 0.72(1761.0-broccoli) 0.60(1951.0-carrot) 0.84(688.0-hot dog) 0.96(1511.0-pizza) 0.93(1790.0-donut) 0.89(1513.0-cake) 0.82(9765.0-chair) 0.87(1589.0-couch) 0.78(2327.0-potted plant) 0.96(1129.0-bed) 0.76(5043.0-dining table) 0.96(866.0-toilet) 0.98(1288.0-tv) 0.98(1194.0-laptop) 0.98(529.0-mouse) 0.81(1269.0-remote) 0.99(705.0-keyboard) 0.85(1714.0-cell phone) 0.99(375.0-microwave) 0.91(938.0-oven) 0.34(59.0-toaster) 0.87(1344.0-sink) 0.98(696.0-refrigerator) 0.39(5244.0-book) 0.98(1663.0-clock) 0.91(1806.0-vase) 0.77(410.0-scissors) 0.93(1245.0-teddy bear) 0.03(62.0-hair drier) 0.61(430.0-toothbrush)
2021-11-01 08:05:37,973 - mmdet - INFO - pseudo ig: 0.65(247368.0-person) 0.45(6265.0-bicycle) 0.51(43717.0-car) 0.59(8272.0-motorcycle) 0.72(4464.0-airplane) 0.69(5393.0-bus) 0.63(4372.0-train) 0.36(10621.0-truck) 0.36(10526.0-boat) 0.39(13652.0-traffic light) 0.74(1725.0-fire hydrant) 0.65(1875.0-stop sign) 0.38(1296.0-parking meter) 0.23(9574.0-bench) 0.35(10321.0-bird) 0.74(4579.0-cat) 0.68(4866.0-dog) 0.64(6055.0-horse) 0.54(9732.0-sheep) 0.55(8496.0-cow) 0.81(5086.0-elephant) 0.71(1330.0-bear) 0.81(4959.0-zebra) 0.89(4523.0-giraffe) 0.24(8662.0-backpack) 0.43(11794.0-umbrella) 0.22(12039.0-handbag) 0.48(5154.0-tie) 0.42(5162.0-suitcase) 0.64(2414.0-frisbee) 0.37(6047.0-skis) 0.37(2474.0-snowboard) 0.41(6124.0-sports ball) 0.49(7993.0-kite) 0.42(3305.0-baseball bat) 0.49(3233.0-baseball glove) 0.61(5223.0-skateboard) 0.46(6810.0-surfboard) 0.69(4517.0-tennis racket) 0.44(22582.0-bottle) 0.47(7678.0-wine glass) 0.37(22814.0-cup) 0.30(5395.0-fork) 0.26(7476.0-knife) 0.22(6628.0-spoon) 0.38(16127.0-bowl) 0.28(10650.0-banana) 0.22(5739.0-apple) 0.36(4470.0-sandwich) 0.27(7269.0-orange) 0.40(6829.0-broccoli) 0.26(7485.0-carrot) 0.34(2468.0-hot dog) 0.57(5568.0-pizza) 0.45(6606.0-donut) 0.40(5858.0-cake) 0.32(37709.0-chair) 0.42(6069.0-couch) 0.37(8671.0-potted plant) 0.53(3803.0-bed) 0.37(14891.0-dining table) 0.73(3841.0-toilet) 0.64(5514.0-tv) 0.60(5060.0-laptop) 0.52(2182.0-mouse) 0.37(5606.0-remote) 0.49(2758.0-keyboard) 0.30(6401.0-cell phone) 0.59(1549.0-microwave) 0.38(3453.0-oven) 0.10(200.0-toaster) 0.49(5348.0-sink) 0.50(2433.0-refrigerator) 0.20(20871.0-book) 0.62(5690.0-clock) 0.39(7100.0-vase) 0.26(1579.0-scissors) 0.49(4955.0-teddy bear) 0.00(17.0-hair drier) 0.25(1731.0-toothbrush)
2021-11-01 08:05:37,973 - mmdet - INFO - pseudo gt: 318766.0 8770.0 53495.0 10911.0 6374.0 7685.0 5466.0 12290.0 12773.0 15564.0 2260.0 2442.0 1539.0 12392.0 12493.0 5720.0 6847.0 7835.0 11902.0 10149.0 6900.0 1660.0 6756.0 6276.0 10598.0 13929.0 15084.0 8021.0 7819.0 3276.0 7959.0 3373.0 7631.0 11243.0 3919.0 4695.0 6942.0 7246.0 6042.0 29648.0 9945.0 25139.0 6774.0 9701.0 7468.0 17269.0 11272.0 6967.0 5384.0 7555.0 9094.0 9477.0 3535.0 7128.0 8668.0 7908.0 47404.0 7194.0 10667.0 5143.0 19579.0 5237.0 7270.0 6140.0 2750.0 6986.0 3472.0 7786.0 2102.0 4027.0 243.0 6924.0 3331.0 29809.0 7988.0 8106.0 1701.0 5587.0 239.0 2348.0
2021-11-01 08:05:37,973 - mmdet - INFO - pseudo mining: 81231.0 378.0 8956.0 1255.0 1333.0 2003.0 1063.0 209.0 457.0 2152.0 958.0 1301.0 153.0 80.0 609.0 1190.0 1026.0 1722.0 2525.0 1886.0 2860.0 613.0 3059.0 3127.0 48.0 1049.0 47.0 804.0 310.0 1239.0 186.0 32.0 2292.0 2369.0 408.0 1158.0 1503.0 511.0 1875.0 3190.0 943.0 3003.0 39.0 81.0 61.0 1695.0 250.0 41.0 173.0 164.0 664.0 213.0 46.0 1326.0 1671.0 252.0 614.0 175.0 668.0 214.0 319.0 2194.0 2552.0 1286.0 989.0 413.0 493.0 619.0 481.0 354.0 0.0 1345.0 322.0 94.0 4042.0 859.0 18.0 572.0 0.0 28.0
2021-11-01 08:05:39,509 - mmdet - INFO - Iter [36500/40000]	lr: 2.000e-02, eta: 1:53:07, time: 1.676, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0442, loss_cls: 0.1914, acc: 93.2416, loss_bbox: 0.2360, loss_rpn_cls_unlabeled: 0.0804, loss_rpn_bbox_unlabeled: 0.0888, loss_cls_unlabeled: 0.1850, acc_unlabeled: 92.7469, loss_bbox_unlabeled: 0.1855, losses_cls_ig_unlabeled: 0.1765, pseudo_num: 1.4923, pseudo_num_ig: 5.6714, pseudo_num_mining: 1.1348, pseudo_num(acc): 0.8903, pseudo_num ig(acc): 0.4941, loss: 1.2162
2021-11-01 08:07:03,182 - mmdet - INFO - Iter [36550/40000]	lr: 2.000e-02, eta: 1:51:29, time: 1.671, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0475, loss_cls: 0.1984, acc: 93.0055, loss_bbox: 0.2477, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1924, acc_unlabeled: 92.5948, loss_bbox_unlabeled: 0.1930, losses_cls_ig_unlabeled: 0.1794, pseudo_num: 1.4923, pseudo_num_ig: 5.6715, pseudo_num_mining: 1.1353, pseudo_num(acc): 0.8903, pseudo_num ig(acc): 0.4941, loss: 1.2720
2021-11-01 08:08:28,719 - mmdet - INFO - Iter [36600/40000]	lr: 2.000e-02, eta: 1:49:51, time: 1.714, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0491, loss_cls: 0.1985, acc: 92.9418, loss_bbox: 0.2456, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0895, loss_cls_unlabeled: 0.1865, acc_unlabeled: 92.6475, loss_bbox_unlabeled: 0.1845, losses_cls_ig_unlabeled: 0.1812, pseudo_num: 1.4922, pseudo_num_ig: 5.6713, pseudo_num_mining: 1.1356, pseudo_num(acc): 0.8903, pseudo_num ig(acc): 0.4942, loss: 1.2514
2021-11-01 08:09:54,184 - mmdet - INFO - Iter [36650/40000]	lr: 2.000e-02, eta: 1:48:13, time: 1.706, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0455, loss_cls: 0.1897, acc: 93.2823, loss_bbox: 0.2392, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1840, acc_unlabeled: 92.5625, loss_bbox_unlabeled: 0.1816, losses_cls_ig_unlabeled: 0.1823, pseudo_num: 1.4922, pseudo_num_ig: 5.6712, pseudo_num_mining: 1.1360, pseudo_num(acc): 0.8903, pseudo_num ig(acc): 0.4942, loss: 1.2279
2021-11-01 08:11:20,009 - mmdet - INFO - Iter [36700/40000]	lr: 2.000e-02, eta: 1:46:35, time: 1.721, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0494, loss_cls: 0.1940, acc: 93.1219, loss_bbox: 0.2441, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0876, loss_cls_unlabeled: 0.1830, acc_unlabeled: 92.7129, loss_bbox_unlabeled: 0.1815, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4921, pseudo_num_ig: 5.6713, pseudo_num_mining: 1.1364, pseudo_num(acc): 0.8903, pseudo_num ig(acc): 0.4942, loss: 1.2363
2021-11-01 08:12:44,205 - mmdet - INFO - Iter [36750/40000]	lr: 2.000e-02, eta: 1:44:57, time: 1.683, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0480, loss_cls: 0.1981, acc: 92.9636, loss_bbox: 0.2479, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1934, acc_unlabeled: 92.7600, loss_bbox_unlabeled: 0.1878, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.4920, pseudo_num_ig: 5.6712, pseudo_num_mining: 1.1368, pseudo_num(acc): 0.8903, pseudo_num ig(acc): 0.4942, loss: 1.2703
2021-11-01 08:15:28,350 - mmdet - INFO - Iter [36800/40000]	lr: 2.000e-02, eta: 1:43:26, time: 3.282, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0463, loss_cls: 0.1863, acc: 93.3654, loss_bbox: 0.2385, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1839, acc_unlabeled: 92.5750, loss_bbox_unlabeled: 0.1859, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4919, pseudo_num_ig: 5.6713, pseudo_num_mining: 1.1372, pseudo_num(acc): 0.8903, pseudo_num ig(acc): 0.4943, loss: 1.2315
2021-11-01 08:16:50,894 - mmdet - INFO - Iter [36850/40000]	lr: 2.000e-02, eta: 1:41:48, time: 1.649, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0450, loss_cls: 0.1864, acc: 93.3821, loss_bbox: 0.2328, loss_rpn_cls_unlabeled: 0.0801, loss_rpn_bbox_unlabeled: 0.0882, loss_cls_unlabeled: 0.1854, acc_unlabeled: 92.7299, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1794, pseudo_num: 1.4919, pseudo_num_ig: 5.6714, pseudo_num_mining: 1.1377, pseudo_num(acc): 0.8903, pseudo_num ig(acc): 0.4943, loss: 1.2094
2021-11-01 08:18:15,526 - mmdet - INFO - Iter [36900/40000]	lr: 2.000e-02, eta: 1:40:10, time: 1.696, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0452, loss_cls: 0.1919, acc: 93.1573, loss_bbox: 0.2440, loss_rpn_cls_unlabeled: 0.0798, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.8385, loss_bbox_unlabeled: 0.1880, losses_cls_ig_unlabeled: 0.1753, pseudo_num: 1.4919, pseudo_num_ig: 5.6713, pseudo_num_mining: 1.1381, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4943, loss: 1.2304
2021-11-01 08:19:38,031 - mmdet - INFO - Iter [36950/40000]	lr: 2.000e-02, eta: 1:38:32, time: 1.645, data_time: 0.026, memory: 26490, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0461, loss_cls: 0.1903, acc: 93.1882, loss_bbox: 0.2409, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1931, acc_unlabeled: 92.3685, loss_bbox_unlabeled: 0.1901, losses_cls_ig_unlabeled: 0.1851, pseudo_num: 1.4919, pseudo_num_ig: 5.6714, pseudo_num_mining: 1.1385, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4943, loss: 1.2521
2021-11-01 08:20:59,080 - mmdet - INFO - pseudo pos: 0.98(68834.0-person) 0.94(1605.0-bicycle) 0.94(11388.0-car) 0.98(2067.0-motorcycle) 0.99(1283.0-airplane) 1.00(1337.0-bus) 0.99(1318.0-train) 0.80(2775.0-truck) 0.79(2876.0-boat) 0.92(3647.0-traffic light) 0.99(396.0-fire hydrant) 0.99(446.0-stop sign) 0.95(327.0-parking meter) 0.79(2670.0-bench) 0.94(2568.0-bird) 0.98(1391.0-cat) 0.98(1335.0-dog) 0.99(1660.0-horse) 0.95(2599.0-sheep) 0.96(2009.0-cow) 1.00(1245.0-elephant) 0.99(385.0-bear) 0.99(1327.0-zebra) 0.99(1308.0-giraffe) 0.62(2188.0-backpack) 0.86(3082.0-umbrella) 0.58(2944.0-handbag) 0.93(1352.0-tie) 0.84(1413.0-suitcase) 1.00(632.0-frisbee) 0.79(1599.0-skis) 0.84(637.0-snowboard) 0.98(1633.0-sports ball) 0.91(2175.0-kite) 0.92(813.0-baseball bat) 0.97(891.0-baseball glove) 0.99(1349.0-skateboard) 0.92(1809.0-surfboard) 0.99(1097.0-tennis racket) 0.89(5597.0-bottle) 0.96(1898.0-wine glass) 0.91(5779.0-cup) 0.85(1267.0-fork) 0.62(1978.0-knife) 0.57(1557.0-spoon) 0.83(4136.0-bowl) 0.71(2578.0-banana) 0.57(1259.0-apple) 0.84(1317.0-sandwich) 0.67(1870.0-orange) 0.72(1800.0-broccoli) 0.60(1974.0-carrot) 0.84(693.0-hot dog) 0.96(1532.0-pizza) 0.93(1821.0-donut) 0.89(1531.0-cake) 0.82(9894.0-chair) 0.87(1607.0-couch) 0.78(2348.0-potted plant) 0.96(1150.0-bed) 0.76(5107.0-dining table) 0.96(878.0-toilet) 0.98(1321.0-tv) 0.98(1221.0-laptop) 0.98(537.0-mouse) 0.81(1291.0-remote) 0.99(718.0-keyboard) 0.85(1730.0-cell phone) 0.99(377.0-microwave) 0.91(950.0-oven) 0.36(61.0-toaster) 0.87(1362.0-sink) 0.98(705.0-refrigerator) 0.39(5331.0-book) 0.98(1677.0-clock) 0.90(1851.0-vase) 0.77(414.0-scissors) 0.93(1268.0-teddy bear) 0.03(64.0-hair drier) 0.61(436.0-toothbrush)
2021-11-01 08:20:59,081 - mmdet - INFO - pseudo ig: 0.65(250658.0-person) 0.45(6340.0-bicycle) 0.51(44420.0-car) 0.59(8366.0-motorcycle) 0.72(4503.0-airplane) 0.69(5451.0-bus) 0.63(4417.0-train) 0.36(10755.0-truck) 0.36(10628.0-boat) 0.39(13825.0-traffic light) 0.74(1752.0-fire hydrant) 0.65(1905.0-stop sign) 0.38(1315.0-parking meter) 0.23(9713.0-bench) 0.35(10441.0-bird) 0.74(4648.0-cat) 0.68(4923.0-dog) 0.64(6124.0-horse) 0.54(9782.0-sheep) 0.55(8622.0-cow) 0.82(5158.0-elephant) 0.71(1338.0-bear) 0.81(5020.0-zebra) 0.89(4585.0-giraffe) 0.24(8750.0-backpack) 0.43(11984.0-umbrella) 0.22(12189.0-handbag) 0.48(5233.0-tie) 0.42(5221.0-suitcase) 0.64(2450.0-frisbee) 0.37(6121.0-skis) 0.37(2495.0-snowboard) 0.41(6188.0-sports ball) 0.49(8086.0-kite) 0.42(3330.0-baseball bat) 0.50(3257.0-baseball glove) 0.61(5328.0-skateboard) 0.46(6931.0-surfboard) 0.69(4578.0-tennis racket) 0.44(22958.0-bottle) 0.47(7808.0-wine glass) 0.37(23177.0-cup) 0.30(5483.0-fork) 0.26(7614.0-knife) 0.21(6767.0-spoon) 0.38(16353.0-bowl) 0.28(10804.0-banana) 0.22(5818.0-apple) 0.36(4527.0-sandwich) 0.27(7381.0-orange) 0.40(6926.0-broccoli) 0.26(7585.0-carrot) 0.34(2492.0-hot dog) 0.57(5660.0-pizza) 0.45(6688.0-donut) 0.39(5954.0-cake) 0.32(38260.0-chair) 0.42(6156.0-couch) 0.37(8787.0-potted plant) 0.53(3855.0-bed) 0.37(15124.0-dining table) 0.73(3895.0-toilet) 0.64(5603.0-tv) 0.60(5143.0-laptop) 0.53(2219.0-mouse) 0.37(5706.0-remote) 0.49(2804.0-keyboard) 0.30(6505.0-cell phone) 0.60(1573.0-microwave) 0.38(3517.0-oven) 0.10(205.0-toaster) 0.48(5429.0-sink) 0.50(2466.0-refrigerator) 0.20(21172.0-book) 0.62(5746.0-clock) 0.39(7213.0-vase) 0.26(1601.0-scissors) 0.49(4992.0-teddy bear) 0.00(19.0-hair drier) 0.25(1760.0-toothbrush)
2021-11-01 08:20:59,081 - mmdet - INFO - pseudo gt: 322968.0 8894.0 54334.0 11057.0 6464.0 7767.0 5539.0 12475.0 12886.0 15811.0 2291.0 2489.0 1558.0 12575.0 12647.0 5788.0 6926.0 7942.0 11992.0 10314.0 7003.0 1674.0 6846.0 6346.0 10726.0 14158.0 15263.0 8125.0 7901.0 3316.0 8049.0 3396.0 7720.0 11390.0 3949.0 4745.0 7034.0 7388.0 6117.0 30104.0 10100.0 25546.0 6887.0 9850.0 7573.0 17528.0 11452.0 7063.0 5472.0 7672.0 9239.0 9621.0 3567.0 7210.0 8788.0 7985.0 48112.0 7318.0 10800.0 5212.0 19890.0 5304.0 7380.0 6271.0 2798.0 7097.0 3529.0 7908.0 2131.0 4092.0 250.0 7029.0 3364.0 30219.0 8099.0 8217.0 1722.0 5666.0 242.0 2374.0
2021-11-01 08:20:59,081 - mmdet - INFO - pseudo mining: 82478.0 383.0 9133.0 1283.0 1356.0 2034.0 1078.0 213.0 466.0 2192.0 975.0 1319.0 156.0 84.0 621.0 1213.0 1039.0 1749.0 2537.0 1930.0 2916.0 620.0 3098.0 3165.0 50.0 1071.0 47.0 815.0 319.0 1262.0 190.0 32.0 2326.0 2401.0 416.0 1175.0 1539.0 531.0 1906.0 3278.0 957.0 3069.0 39.0 88.0 62.0 1728.0 252.0 42.0 177.0 166.0 681.0 216.0 46.0 1341.0 1705.0 255.0 639.0 181.0 687.0 216.0 325.0 2229.0 2600.0 1319.0 1012.0 424.0 499.0 643.0 492.0 360.0 0.0 1384.0 328.0 97.0 4097.0 869.0 19.0 581.0 0.0 29.0
2021-11-01 08:22:28,274 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 08:22:28,274 - mmdet - INFO - Iter [37000/40000]	lr: 2.000e-02, eta: 1:36:54, time: 1.657, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0461, loss_cls: 0.1934, acc: 93.1915, loss_bbox: 0.2405, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1927, acc_unlabeled: 92.6073, loss_bbox_unlabeled: 0.1943, losses_cls_ig_unlabeled: 0.1764, pseudo_num: 1.4920, pseudo_num_ig: 5.6716, pseudo_num_mining: 1.1389, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4943, loss: 1.2520
2021-11-01 08:23:52,277 - mmdet - INFO - Iter [37050/40000]	lr: 2.000e-02, eta: 1:35:23, time: 3.432, data_time: 1.781, memory: 26490, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0443, loss_cls: 0.1863, acc: 93.4504, loss_bbox: 0.2295, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1851, acc_unlabeled: 92.6219, loss_bbox_unlabeled: 0.1892, losses_cls_ig_unlabeled: 0.1793, pseudo_num: 1.4920, pseudo_num_ig: 5.6717, pseudo_num_mining: 1.1393, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4943, loss: 1.2186
2021-11-01 08:25:15,008 - mmdet - INFO - Iter [37100/40000]	lr: 2.000e-02, eta: 1:33:44, time: 1.654, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0463, loss_cls: 0.1947, acc: 93.1497, loss_bbox: 0.2374, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0879, loss_cls_unlabeled: 0.1876, acc_unlabeled: 92.6759, loss_bbox_unlabeled: 0.1831, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.4920, pseudo_num_ig: 5.6719, pseudo_num_mining: 1.1398, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4943, loss: 1.2354
2021-11-01 08:26:37,095 - mmdet - INFO - Iter [37150/40000]	lr: 2.000e-02, eta: 1:32:06, time: 1.641, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0487, loss_cls: 0.1970, acc: 93.0105, loss_bbox: 0.2464, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0874, loss_cls_unlabeled: 0.1916, acc_unlabeled: 92.5905, loss_bbox_unlabeled: 0.1872, losses_cls_ig_unlabeled: 0.1878, pseudo_num: 1.4919, pseudo_num_ig: 5.6718, pseudo_num_mining: 1.1403, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4944, loss: 1.2605
2021-11-01 08:28:00,190 - mmdet - INFO - Iter [37200/40000]	lr: 2.000e-02, eta: 1:30:28, time: 1.662, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0493, loss_cls: 0.1965, acc: 92.9510, loss_bbox: 0.2485, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1832, acc_unlabeled: 92.6165, loss_bbox_unlabeled: 0.1800, losses_cls_ig_unlabeled: 0.1788, pseudo_num: 1.4918, pseudo_num_ig: 5.6718, pseudo_num_mining: 1.1407, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4944, loss: 1.2465
2021-11-01 08:29:22,554 - mmdet - INFO - Iter [37250/40000]	lr: 2.000e-02, eta: 1:28:50, time: 1.648, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0449, loss_cls: 0.1924, acc: 93.1659, loss_bbox: 0.2372, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1899, acc_unlabeled: 92.7001, loss_bbox_unlabeled: 0.1868, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4917, pseudo_num_ig: 5.6720, pseudo_num_mining: 1.1411, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4944, loss: 1.2410
2021-11-01 08:30:45,825 - mmdet - INFO - Iter [37300/40000]	lr: 2.000e-02, eta: 1:27:12, time: 1.664, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0467, loss_cls: 0.1920, acc: 93.1223, loss_bbox: 0.2425, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1896, acc_unlabeled: 92.6909, loss_bbox_unlabeled: 0.1885, losses_cls_ig_unlabeled: 0.1778, pseudo_num: 1.4917, pseudo_num_ig: 5.6720, pseudo_num_mining: 1.1416, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4944, loss: 1.2461
2021-11-01 08:32:08,453 - mmdet - INFO - Iter [37350/40000]	lr: 2.000e-02, eta: 1:25:34, time: 1.651, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0489, loss_cls: 0.1923, acc: 93.0808, loss_bbox: 0.2446, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0883, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.7230, loss_bbox_unlabeled: 0.1852, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.4916, pseudo_num_ig: 5.6718, pseudo_num_mining: 1.1420, pseudo_num(acc): 0.8904, pseudo_num ig(acc): 0.4944, loss: 1.2468
2021-11-01 08:33:30,410 - mmdet - INFO - Iter [37400/40000]	lr: 2.000e-02, eta: 1:23:57, time: 1.640, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0473, loss_cls: 0.1960, acc: 93.0023, loss_bbox: 0.2430, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1868, acc_unlabeled: 92.7268, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1806, pseudo_num: 1.4915, pseudo_num_ig: 5.6717, pseudo_num_mining: 1.1424, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4945, loss: 1.2416
2021-11-01 08:34:54,403 - mmdet - INFO - Iter [37450/40000]	lr: 2.000e-02, eta: 1:22:19, time: 1.682, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0452, loss_cls: 0.1887, acc: 93.2589, loss_bbox: 0.2368, loss_rpn_cls_unlabeled: 0.0948, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1939, acc_unlabeled: 92.6282, loss_bbox_unlabeled: 0.1937, losses_cls_ig_unlabeled: 0.1819, pseudo_num: 1.4915, pseudo_num_ig: 5.6721, pseudo_num_mining: 1.1430, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4945, loss: 1.2595
2021-11-01 08:36:15,515 - mmdet - INFO - pseudo pos: 0.98(69689.0-person) 0.94(1625.0-bicycle) 0.94(11559.0-car) 0.98(2094.0-motorcycle) 0.99(1298.0-airplane) 1.00(1353.0-bus) 0.99(1338.0-train) 0.79(2821.0-truck) 0.79(2900.0-boat) 0.92(3683.0-traffic light) 0.99(404.0-fire hydrant) 0.99(451.0-stop sign) 0.95(336.0-parking meter) 0.79(2692.0-bench) 0.94(2603.0-bird) 0.98(1401.0-cat) 0.98(1361.0-dog) 0.99(1678.0-horse) 0.95(2630.0-sheep) 0.96(2045.0-cow) 1.00(1265.0-elephant) 0.99(392.0-bear) 0.99(1351.0-zebra) 0.99(1334.0-giraffe) 0.62(2206.0-backpack) 0.86(3113.0-umbrella) 0.58(2986.0-handbag) 0.94(1379.0-tie) 0.84(1423.0-suitcase) 1.00(648.0-frisbee) 0.79(1613.0-skis) 0.84(651.0-snowboard) 0.98(1649.0-sports ball) 0.91(2206.0-kite) 0.92(822.0-baseball bat) 0.97(904.0-baseball glove) 0.99(1363.0-skateboard) 0.92(1840.0-surfboard) 0.99(1109.0-tennis racket) 0.89(5664.0-bottle) 0.96(1938.0-wine glass) 0.91(5860.0-cup) 0.85(1286.0-fork) 0.62(2010.0-knife) 0.57(1584.0-spoon) 0.83(4185.0-bowl) 0.71(2606.0-banana) 0.57(1266.0-apple) 0.83(1331.0-sandwich) 0.67(1890.0-orange) 0.72(1822.0-broccoli) 0.60(2014.0-carrot) 0.84(697.0-hot dog) 0.96(1557.0-pizza) 0.93(1845.0-donut) 0.89(1559.0-cake) 0.82(10015.0-chair) 0.87(1620.0-couch) 0.78(2373.0-potted plant) 0.96(1168.0-bed) 0.76(5178.0-dining table) 0.96(891.0-toilet) 0.98(1340.0-tv) 0.98(1235.0-laptop) 0.98(544.0-mouse) 0.81(1309.0-remote) 0.99(722.0-keyboard) 0.85(1751.0-cell phone) 0.99(382.0-microwave) 0.91(959.0-oven) 0.36(61.0-toaster) 0.87(1378.0-sink) 0.98(715.0-refrigerator) 0.38(5376.0-book) 0.98(1700.0-clock) 0.90(1875.0-vase) 0.78(419.0-scissors) 0.93(1293.0-teddy bear) 0.03(65.0-hair drier) 0.62(447.0-toothbrush)
2021-11-01 08:36:15,515 - mmdet - INFO - pseudo ig: 0.65(253946.0-person) 0.45(6442.0-bicycle) 0.51(45036.0-car) 0.59(8476.0-motorcycle) 0.72(4577.0-airplane) 0.69(5510.0-bus) 0.63(4483.0-train) 0.36(10900.0-truck) 0.37(10748.0-boat) 0.39(13971.0-traffic light) 0.74(1774.0-fire hydrant) 0.65(1928.0-stop sign) 0.38(1331.0-parking meter) 0.23(9831.0-bench) 0.35(10542.0-bird) 0.74(4714.0-cat) 0.68(4981.0-dog) 0.64(6232.0-horse) 0.54(9911.0-sheep) 0.55(8748.0-cow) 0.82(5219.0-elephant) 0.71(1349.0-bear) 0.82(5079.0-zebra) 0.88(4645.0-giraffe) 0.24(8843.0-backpack) 0.43(12144.0-umbrella) 0.22(12335.0-handbag) 0.48(5311.0-tie) 0.42(5280.0-suitcase) 0.64(2483.0-frisbee) 0.37(6192.0-skis) 0.37(2533.0-snowboard) 0.41(6257.0-sports ball) 0.49(8204.0-kite) 0.42(3374.0-baseball bat) 0.50(3290.0-baseball glove) 0.61(5407.0-skateboard) 0.46(7028.0-surfboard) 0.69(4638.0-tennis racket) 0.44(23308.0-bottle) 0.47(7959.0-wine glass) 0.37(23492.0-cup) 0.30(5557.0-fork) 0.26(7707.0-knife) 0.21(6856.0-spoon) 0.38(16564.0-bowl) 0.28(10963.0-banana) 0.22(5906.0-apple) 0.36(4570.0-sandwich) 0.27(7466.0-orange) 0.40(7003.0-broccoli) 0.26(7738.0-carrot) 0.34(2515.0-hot dog) 0.57(5744.0-pizza) 0.45(6788.0-donut) 0.39(6068.0-cake) 0.32(38810.0-chair) 0.42(6235.0-couch) 0.37(8890.0-potted plant) 0.53(3900.0-bed) 0.38(15325.0-dining table) 0.73(3948.0-toilet) 0.64(5670.0-tv) 0.60(5207.0-laptop) 0.53(2255.0-mouse) 0.37(5800.0-remote) 0.49(2838.0-keyboard) 0.30(6578.0-cell phone) 0.60(1600.0-microwave) 0.38(3562.0-oven) 0.10(211.0-toaster) 0.48(5487.0-sink) 0.49(2503.0-refrigerator) 0.20(21428.0-book) 0.62(5849.0-clock) 0.39(7314.0-vase) 0.25(1628.0-scissors) 0.49(5065.0-teddy bear) 0.00(21.0-hair drier) 0.26(1783.0-toothbrush)
2021-11-01 08:36:15,515 - mmdet - INFO - pseudo gt: 327126.0 9034.0 55082.0 11185.0 6558.0 7858.0 5620.0 12662.0 13042.0 16000.0 2321.0 2517.0 1588.0 12727.0 12796.0 5866.0 7019.0 8068.0 12174.0 10469.0 7094.0 1693.0 6958.0 6426.0 10853.0 14303.0 15455.0 8248.0 7988.0 3384.0 8140.0 3456.0 7807.0 11557.0 4003.0 4798.0 7132.0 7496.0 6199.0 30468.0 10262.0 25869.0 7018.0 9996.0 7683.0 17775.0 11589.0 7161.0 5542.0 7787.0 9349.0 9808.0 3622.0 7314.0 8938.0 8111.0 48865.0 7413.0 10938.0 5277.0 20198.0 5370.0 7470.0 6356.0 2834.0 7179.0 3572.0 8006.0 2161.0 4148.0 253.0 7111.0 3395.0 30501.0 8228.0 8324.0 1740.0 5745.0 247.0 2409.0
2021-11-01 08:36:15,516 - mmdet - INFO - pseudo mining: 83758.0 390.0 9288.0 1302.0 1377.0 2060.0 1101.0 220.0 471.0 2221.0 988.0 1338.0 158.0 85.0 628.0 1234.0 1058.0 1787.0 2602.0 1963.0 2966.0 627.0 3144.0 3211.0 51.0 1089.0 48.0 831.0 326.0 1286.0 195.0 34.0 2356.0 2446.0 430.0 1192.0 1576.0 543.0 1941.0 3347.0 972.0 3128.0 42.0 88.0 66.0 1765.0 255.0 44.0 181.0 172.0 694.0 222.0 46.0 1367.0 1727.0 257.0 663.0 184.0 715.0 220.0 326.0 2268.0 2637.0 1343.0 1028.0 430.0 512.0 658.0 505.0 368.0 0.0 1402.0 333.0 99.0 4177.0 893.0 19.0 589.0 0.0 29.0
2021-11-01 08:36:17,109 - mmdet - INFO - Iter [37500/40000]	lr: 2.000e-02, eta: 1:20:41, time: 1.652, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0464, loss_cls: 0.1921, acc: 93.1290, loss_bbox: 0.2406, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0883, loss_cls_unlabeled: 0.1878, acc_unlabeled: 92.7651, loss_bbox_unlabeled: 0.1899, losses_cls_ig_unlabeled: 0.1762, pseudo_num: 1.4915, pseudo_num_ig: 5.6725, pseudo_num_mining: 1.1435, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4945, loss: 1.2333
2021-11-01 08:37:39,003 - mmdet - INFO - Iter [37550/40000]	lr: 2.000e-02, eta: 1:19:03, time: 1.640, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0468, loss_cls: 0.1858, acc: 93.3455, loss_bbox: 0.2372, loss_rpn_cls_unlabeled: 0.0819, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1876, acc_unlabeled: 92.6106, loss_bbox_unlabeled: 0.1862, losses_cls_ig_unlabeled: 0.1776, pseudo_num: 1.4913, pseudo_num_ig: 5.6724, pseudo_num_mining: 1.1439, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4945, loss: 1.2223
2021-11-01 08:39:01,236 - mmdet - INFO - Iter [37600/40000]	lr: 2.000e-02, eta: 1:17:25, time: 1.642, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0462, loss_cls: 0.1872, acc: 93.3483, loss_bbox: 0.2344, loss_rpn_cls_unlabeled: 0.0802, loss_rpn_bbox_unlabeled: 0.0871, loss_cls_unlabeled: 0.1882, acc_unlabeled: 92.7152, loss_bbox_unlabeled: 0.1836, losses_cls_ig_unlabeled: 0.1780, pseudo_num: 1.4912, pseudo_num_ig: 5.6722, pseudo_num_mining: 1.1443, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4945, loss: 1.2137
2021-11-01 08:40:23,840 - mmdet - INFO - Iter [37650/40000]	lr: 2.000e-02, eta: 1:15:48, time: 1.654, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0468, loss_cls: 0.1914, acc: 93.1421, loss_bbox: 0.2395, loss_rpn_cls_unlabeled: 0.0828, loss_rpn_bbox_unlabeled: 0.0913, loss_cls_unlabeled: 0.1866, acc_unlabeled: 92.6135, loss_bbox_unlabeled: 0.1888, losses_cls_ig_unlabeled: 0.1791, pseudo_num: 1.4911, pseudo_num_ig: 5.6722, pseudo_num_mining: 1.1447, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4945, loss: 1.2360
2021-11-01 08:41:47,335 - mmdet - INFO - Iter [37700/40000]	lr: 2.000e-02, eta: 1:14:10, time: 1.669, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0445, loss_cls: 0.1935, acc: 93.1530, loss_bbox: 0.2405, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1864, acc_unlabeled: 92.6539, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.4910, pseudo_num_ig: 5.6725, pseudo_num_mining: 1.1453, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4946, loss: 1.2406
2021-11-01 08:43:09,891 - mmdet - INFO - Iter [37750/40000]	lr: 2.000e-02, eta: 1:12:33, time: 1.652, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0459, loss_cls: 0.1941, acc: 93.1719, loss_bbox: 0.2386, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1935, acc_unlabeled: 92.5903, loss_bbox_unlabeled: 0.1923, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.4909, pseudo_num_ig: 5.6726, pseudo_num_mining: 1.1458, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4946, loss: 1.2591
2021-11-01 08:44:31,684 - mmdet - INFO - Iter [37800/40000]	lr: 2.000e-02, eta: 1:10:55, time: 1.637, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0466, loss_cls: 0.1936, acc: 93.0764, loss_bbox: 0.2418, loss_rpn_cls_unlabeled: 0.0841, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1893, acc_unlabeled: 92.8507, loss_bbox_unlabeled: 0.1867, losses_cls_ig_unlabeled: 0.1795, pseudo_num: 1.4909, pseudo_num_ig: 5.6728, pseudo_num_mining: 1.1464, pseudo_num(acc): 0.8905, pseudo_num ig(acc): 0.4946, loss: 1.2417
2021-11-01 08:45:54,043 - mmdet - INFO - Iter [37850/40000]	lr: 2.000e-02, eta: 1:09:17, time: 1.646, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0475, loss_cls: 0.1966, acc: 92.9653, loss_bbox: 0.2419, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1849, acc_unlabeled: 92.9167, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1765, pseudo_num: 1.4908, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1469, pseudo_num(acc): 0.8906, pseudo_num ig(acc): 0.4947, loss: 1.2369
2021-11-01 08:47:17,242 - mmdet - INFO - Iter [37900/40000]	lr: 2.000e-02, eta: 1:07:40, time: 1.663, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0465, loss_cls: 0.1874, acc: 93.4039, loss_bbox: 0.2312, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1904, acc_unlabeled: 92.4017, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1880, pseudo_num: 1.4907, pseudo_num_ig: 5.6729, pseudo_num_mining: 1.1473, pseudo_num(acc): 0.8906, pseudo_num ig(acc): 0.4947, loss: 1.2449
2021-11-01 08:48:39,643 - mmdet - INFO - Iter [37950/40000]	lr: 2.000e-02, eta: 1:06:03, time: 1.646, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0457, loss_cls: 0.1899, acc: 93.2798, loss_bbox: 0.2367, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.0885, loss_cls_unlabeled: 0.1877, acc_unlabeled: 92.7111, loss_bbox_unlabeled: 0.1816, losses_cls_ig_unlabeled: 0.1839, pseudo_num: 1.4906, pseudo_num_ig: 5.6732, pseudo_num_mining: 1.1479, pseudo_num(acc): 0.8906, pseudo_num ig(acc): 0.4947, loss: 1.2310
2021-11-01 08:50:01,161 - mmdet - INFO - pseudo pos: 0.98(70560.0-person) 0.94(1650.0-bicycle) 0.94(11713.0-car) 0.98(2113.0-motorcycle) 0.99(1307.0-airplane) 1.00(1367.0-bus) 0.99(1358.0-train) 0.79(2867.0-truck) 0.79(2946.0-boat) 0.92(3729.0-traffic light) 0.99(407.0-fire hydrant) 0.99(461.0-stop sign) 0.95(339.0-parking meter) 0.79(2729.0-bench) 0.94(2628.0-bird) 0.98(1409.0-cat) 0.98(1379.0-dog) 0.99(1702.0-horse) 0.95(2660.0-sheep) 0.96(2065.0-cow) 1.00(1293.0-elephant) 0.99(397.0-bear) 0.99(1373.0-zebra) 0.99(1358.0-giraffe) 0.62(2231.0-backpack) 0.86(3145.0-umbrella) 0.58(3023.0-handbag) 0.94(1409.0-tie) 0.84(1431.0-suitcase) 1.00(655.0-frisbee) 0.79(1629.0-skis) 0.84(657.0-snowboard) 0.98(1671.0-sports ball) 0.91(2257.0-kite) 0.92(832.0-baseball bat) 0.97(923.0-baseball glove) 0.99(1377.0-skateboard) 0.92(1868.0-surfboard) 0.99(1125.0-tennis racket) 0.89(5725.0-bottle) 0.96(1961.0-wine glass) 0.91(5939.0-cup) 0.85(1308.0-fork) 0.62(2036.0-knife) 0.57(1619.0-spoon) 0.83(4255.0-bowl) 0.71(2644.0-banana) 0.57(1293.0-apple) 0.83(1343.0-sandwich) 0.67(1908.0-orange) 0.72(1848.0-broccoli) 0.60(2039.0-carrot) 0.83(702.0-hot dog) 0.96(1580.0-pizza) 0.93(1871.0-donut) 0.89(1593.0-cake) 0.83(10110.0-chair) 0.87(1642.0-couch) 0.78(2396.0-potted plant) 0.96(1182.0-bed) 0.75(5252.0-dining table) 0.96(901.0-toilet) 0.98(1353.0-tv) 0.98(1257.0-laptop) 0.98(552.0-mouse) 0.81(1323.0-remote) 0.99(732.0-keyboard) 0.85(1769.0-cell phone) 0.99(386.0-microwave) 0.91(970.0-oven) 0.37(62.0-toaster) 0.87(1393.0-sink) 0.98(722.0-refrigerator) 0.38(5441.0-book) 0.98(1723.0-clock) 0.90(1897.0-vase) 0.78(432.0-scissors) 0.93(1307.0-teddy bear) 0.03(65.0-hair drier) 0.62(450.0-toothbrush)
2021-11-01 08:50:01,162 - mmdet - INFO - pseudo ig: 0.65(257539.0-person) 0.45(6531.0-bicycle) 0.51(45660.0-car) 0.60(8585.0-motorcycle) 0.72(4630.0-airplane) 0.69(5561.0-bus) 0.63(4560.0-train) 0.36(11084.0-truck) 0.36(10919.0-boat) 0.39(14178.0-traffic light) 0.74(1803.0-fire hydrant) 0.65(1947.0-stop sign) 0.38(1341.0-parking meter) 0.23(9962.0-bench) 0.35(10670.0-bird) 0.74(4768.0-cat) 0.68(5054.0-dog) 0.64(6315.0-horse) 0.54(10110.0-sheep) 0.55(8853.0-cow) 0.82(5295.0-elephant) 0.72(1363.0-bear) 0.82(5131.0-zebra) 0.88(4716.0-giraffe) 0.24(8947.0-backpack) 0.43(12266.0-umbrella) 0.22(12502.0-handbag) 0.47(5386.0-tie) 0.42(5328.0-suitcase) 0.64(2513.0-frisbee) 0.38(6276.0-skis) 0.37(2578.0-snowboard) 0.41(6324.0-sports ball) 0.49(8330.0-kite) 0.43(3416.0-baseball bat) 0.50(3336.0-baseball glove) 0.61(5472.0-skateboard) 0.46(7123.0-surfboard) 0.69(4683.0-tennis racket) 0.44(23646.0-bottle) 0.47(8042.0-wine glass) 0.37(23856.0-cup) 0.30(5613.0-fork) 0.26(7795.0-knife) 0.22(6935.0-spoon) 0.38(16773.0-bowl) 0.28(11166.0-banana) 0.22(6005.0-apple) 0.36(4625.0-sandwich) 0.27(7519.0-orange) 0.40(7112.0-broccoli) 0.26(7854.0-carrot) 0.34(2542.0-hot dog) 0.57(5812.0-pizza) 0.45(6891.0-donut) 0.39(6171.0-cake) 0.32(39267.0-chair) 0.42(6326.0-couch) 0.37(8991.0-potted plant) 0.53(3956.0-bed) 0.38(15487.0-dining table) 0.73(3997.0-toilet) 0.64(5749.0-tv) 0.60(5289.0-laptop) 0.53(2282.0-mouse) 0.37(5889.0-remote) 0.49(2881.0-keyboard) 0.30(6699.0-cell phone) 0.60(1622.0-microwave) 0.38(3619.0-oven) 0.10(212.0-toaster) 0.48(5555.0-sink) 0.49(2545.0-refrigerator) 0.20(21763.0-book) 0.62(5937.0-clock) 0.39(7389.0-vase) 0.25(1664.0-scissors) 0.48(5110.0-teddy bear) 0.00(22.0-hair drier) 0.26(1810.0-toothbrush)
2021-11-01 08:50:01,162 - mmdet - INFO - pseudo gt: 331655.0 9135.0 55746.0 11328.0 6627.0 7929.0 5702.0 12861.0 13222.0 16262.0 2347.0 2558.0 1610.0 12896.0 13001.0 5929.0 7108.0 8166.0 12356.0 10579.0 7199.0 1712.0 7054.0 6523.0 10970.0 14446.0 15649.0 8366.0 8081.0 3428.0 8274.0 3509.0 7910.0 11693.0 4065.0 4897.0 7228.0 7625.0 6262.0 30915.0 10367.0 26246.0 7130.0 10125.0 7810.0 18066.0 11755.0 7274.0 5613.0 7856.0 9465.0 9945.0 3668.0 7409.0 9073.0 8259.0 49368.0 7499.0 11048.0 5348.0 20450.0 5429.0 7586.0 6449.0 2875.0 7260.0 3630.0 8111.0 2182.0 4196.0 254.0 7205.0 3432.0 30908.0 8332.0 8425.0 1770.0 5789.0 252.0 2452.0
2021-11-01 08:50:01,162 - mmdet - INFO - pseudo mining: 85270.0 402.0 9449.0 1322.0 1394.0 2081.0 1131.0 222.0 486.0 2263.0 1001.0 1353.0 158.0 86.0 630.0 1256.0 1083.0 1807.0 2682.0 1992.0 3020.0 636.0 3187.0 3256.0 53.0 1098.0 50.0 846.0 330.0 1311.0 198.0 35.0 2384.0 2496.0 440.0 1212.0 1613.0 563.0 1969.0 3412.0 985.0 3193.0 45.0 90.0 66.0 1813.0 258.0 46.0 184.0 174.0 715.0 228.0 47.0 1393.0 1747.0 262.0 674.0 192.0 731.0 223.0 330.0 2304.0 2678.0 1370.0 1043.0 441.0 521.0 687.0 510.0 379.0 0.0 1430.0 343.0 101.0 4231.0 910.0 19.0 594.0 0.0 29.0
2021-11-01 08:50:58,145 - mmdet - INFO - Evaluating bbox...
2021-11-01 08:52:06,924 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.469 | bicycle      | 0.227 | car            | 0.378 |
| motorcycle    | 0.337 | airplane     | 0.494 | bus            | 0.551 |
| train         | 0.509 | truck        | 0.258 | boat           | 0.200 |
| traffic light | 0.242 | fire hydrant | 0.576 | stop sign      | 0.579 |
| parking meter | 0.406 | bench        | 0.168 | bird           | 0.259 |
| cat           | 0.506 | dog          | 0.491 | horse          | 0.462 |
| sheep         | 0.372 | cow          | 0.443 | elephant       | 0.500 |
| bear          | 0.571 | zebra        | 0.565 | giraffe        | 0.568 |
| backpack      | 0.103 | umbrella     | 0.277 | handbag        | 0.083 |
| tie           | 0.235 | suitcase     | 0.220 | frisbee        | 0.569 |
| skis          | 0.161 | snowboard    | 0.203 | sports ball    | 0.384 |
| kite          | 0.310 | baseball bat | 0.198 | baseball glove | 0.298 |
| skateboard    | 0.390 | surfboard    | 0.283 | tennis racket  | 0.342 |
| bottle        | 0.312 | wine glass   | 0.291 | cup            | 0.346 |
| fork          | 0.211 | knife        | 0.102 | spoon          | 0.088 |
| bowl          | 0.358 | banana       | 0.163 | apple          | 0.120 |
| sandwich      | 0.237 | orange       | 0.235 | broccoli       | 0.180 |
| carrot        | 0.111 | hot dog      | 0.155 | pizza          | 0.411 |
| donut         | 0.328 | cake         | 0.269 | chair          | 0.181 |
| couch         | 0.314 | potted plant | 0.185 | bed            | 0.339 |
| dining table  | 0.188 | toilet       | 0.500 | tv             | 0.471 |
| laptop        | 0.491 | mouse        | 0.539 | remote         | 0.194 |
| keyboard      | 0.392 | cell phone   | 0.257 | microwave      | 0.494 |
| oven          | 0.246 | toaster      | 0.295 | sink           | 0.276 |
| refrigerator  | 0.419 | book         | 0.065 | clock          | 0.440 |
| vase          | 0.323 | scissors     | 0.173 | teddy bear     | 0.346 |
| hair drier    | 0.000 | toothbrush   | 0.101 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 08:53:05,405 - mmdet - INFO - Evaluating bbox...
2021-11-01 08:54:16,732 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.488 | bicycle      | 0.256 | car            | 0.398 |
| motorcycle    | 0.367 | airplane     | 0.550 | bus            | 0.578 |
| train         | 0.547 | truck        | 0.284 | boat           | 0.217 |
| traffic light | 0.256 | fire hydrant | 0.605 | stop sign      | 0.604 |
| parking meter | 0.449 | bench        | 0.187 | bird           | 0.296 |
| cat           | 0.556 | dog          | 0.527 | horse          | 0.501 |
| sheep         | 0.434 | cow          | 0.505 | elephant       | 0.551 |
| bear          | 0.632 | zebra        | 0.587 | giraffe        | 0.615 |
| backpack      | 0.124 | umbrella     | 0.296 | handbag        | 0.097 |
| tie           | 0.259 | suitcase     | 0.263 | frisbee        | 0.585 |
| skis          | 0.160 | snowboard    | 0.274 | sports ball    | 0.405 |
| kite          | 0.342 | baseball bat | 0.217 | baseball glove | 0.322 |
| skateboard    | 0.426 | surfboard    | 0.300 | tennis racket  | 0.389 |
| bottle        | 0.340 | wine glass   | 0.305 | cup            | 0.358 |
| fork          | 0.229 | knife        | 0.117 | spoon          | 0.112 |
| bowl          | 0.380 | banana       | 0.181 | apple          | 0.136 |
| sandwich      | 0.273 | orange       | 0.259 | broccoli       | 0.193 |
| carrot        | 0.143 | hot dog      | 0.226 | pizza          | 0.433 |
| donut         | 0.357 | cake         | 0.268 | chair          | 0.203 |
| couch         | 0.337 | potted plant | 0.190 | bed            | 0.338 |
| dining table  | 0.206 | toilet       | 0.530 | tv             | 0.510 |
| laptop        | 0.522 | mouse        | 0.553 | remote         | 0.229 |
| keyboard      | 0.438 | cell phone   | 0.291 | microwave      | 0.504 |
| oven          | 0.265 | toaster      | 0.304 | sink           | 0.309 |
| refrigerator  | 0.441 | book         | 0.078 | clock          | 0.440 |
| vase          | 0.342 | scissors     | 0.220 | teddy bear     | 0.378 |
| hair drier    | 0.001 | toothbrush   | 0.155 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 08:55:44,507 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 08:55:44,509 - mmdet - INFO - Iter [38000/40000]	lr: 2.000e-02, eta: 1:04:25, time: 1.666, data_time: 0.032, memory: 26490, bbox_mAP: 0.3440, bbox_mAP_50: 0.5470, bbox_mAP_75: 0.3730, bbox_mAP_s: 0.2070, bbox_mAP_m: 0.3740, bbox_mAP_l: 0.4520, bbox_mAP_copypaste: 0.344 0.547 0.373 0.207 0.374 0.452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0475, loss_cls: 0.1923, acc: 93.0645, loss_bbox: 0.2450, loss_rpn_cls_unlabeled: 0.0877, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1945, acc_unlabeled: 92.5542, loss_bbox_unlabeled: 0.1974, losses_cls_ig_unlabeled: 0.1845, pseudo_num: 1.4905, pseudo_num_ig: 5.6734, pseudo_num_mining: 1.1484, pseudo_num(acc): 0.8906, pseudo_num ig(acc): 0.4947, loss: 1.2721
2021-11-01 08:57:07,809 - mmdet - INFO - Iter [38050/40000]	lr: 2.000e-02, eta: 1:03:05, time: 8.501, data_time: 6.864, memory: 26490, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0482, loss_cls: 0.1978, acc: 92.9479, loss_bbox: 0.2470, loss_rpn_cls_unlabeled: 0.0863, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1893, acc_unlabeled: 92.6322, loss_bbox_unlabeled: 0.1858, losses_cls_ig_unlabeled: 0.1820, pseudo_num: 1.4906, pseudo_num_ig: 5.6736, pseudo_num_mining: 1.1489, pseudo_num(acc): 0.8906, pseudo_num ig(acc): 0.4948, loss: 1.2559
2021-11-01 08:58:30,900 - mmdet - INFO - Iter [38100/40000]	lr: 2.000e-02, eta: 1:01:28, time: 1.662, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0469, loss_cls: 0.1839, acc: 93.3328, loss_bbox: 0.2360, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1874, acc_unlabeled: 92.5563, loss_bbox_unlabeled: 0.1859, losses_cls_ig_unlabeled: 0.1851, pseudo_num: 1.4906, pseudo_num_ig: 5.6739, pseudo_num_mining: 1.1493, pseudo_num(acc): 0.8906, pseudo_num ig(acc): 0.4948, loss: 1.2382
2021-11-01 08:59:53,074 - mmdet - INFO - Iter [38150/40000]	lr: 2.000e-02, eta: 0:59:50, time: 1.643, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0453, loss_cls: 0.1887, acc: 93.2905, loss_bbox: 0.2358, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1964, acc_unlabeled: 92.4481, loss_bbox_unlabeled: 0.1932, losses_cls_ig_unlabeled: 0.1853, pseudo_num: 1.4905, pseudo_num_ig: 5.6743, pseudo_num_mining: 1.1498, pseudo_num(acc): 0.8906, pseudo_num ig(acc): 0.4948, loss: 1.2493
2021-11-01 09:01:15,427 - mmdet - INFO - Iter [38200/40000]	lr: 2.000e-02, eta: 0:58:12, time: 1.648, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0471, loss_cls: 0.1936, acc: 93.1862, loss_bbox: 0.2407, loss_rpn_cls_unlabeled: 0.0831, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1829, acc_unlabeled: 92.6830, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1814, pseudo_num: 1.4905, pseudo_num_ig: 5.6745, pseudo_num_mining: 1.1502, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4948, loss: 1.2350
2021-11-01 09:02:38,736 - mmdet - INFO - Iter [38250/40000]	lr: 2.000e-02, eta: 0:56:34, time: 1.662, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0463, loss_cls: 0.1936, acc: 93.1300, loss_bbox: 0.2413, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1860, acc_unlabeled: 92.5681, loss_bbox_unlabeled: nan, losses_cls_ig_unlabeled: 0.1838, pseudo_num: 1.4904, pseudo_num_ig: 5.6747, pseudo_num_mining: 1.1506, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4948, loss: nan
2021-11-01 09:04:02,307 - mmdet - INFO - Iter [38300/40000]	lr: 2.000e-02, eta: 0:54:57, time: 1.674, data_time: 0.034, memory: 26490, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0435, loss_cls: 0.1854, acc: 93.4447, loss_bbox: 0.2294, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1849, acc_unlabeled: 92.7900, loss_bbox_unlabeled: 0.1812, losses_cls_ig_unlabeled: 0.1802, pseudo_num: 1.4903, pseudo_num_ig: 5.6748, pseudo_num_mining: 1.1510, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4948, loss: 1.2133
2021-11-01 09:05:24,531 - mmdet - INFO - Iter [38350/40000]	lr: 2.000e-02, eta: 0:53:19, time: 1.647, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0452, loss_cls: 0.1842, acc: 93.4342, loss_bbox: 0.2311, loss_rpn_cls_unlabeled: 0.0811, loss_rpn_bbox_unlabeled: 0.0888, loss_cls_unlabeled: 0.1921, acc_unlabeled: 92.5968, loss_bbox_unlabeled: 0.1924, losses_cls_ig_unlabeled: 0.1866, pseudo_num: 1.4903, pseudo_num_ig: 5.6749, pseudo_num_mining: 1.1514, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4948, loss: 1.2298
2021-11-01 09:06:47,367 - mmdet - INFO - Iter [38400/40000]	lr: 2.000e-02, eta: 0:51:42, time: 1.655, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0457, loss_cls: 0.1905, acc: 93.1935, loss_bbox: 0.2393, loss_rpn_cls_unlabeled: 0.0897, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1990, acc_unlabeled: 92.4681, loss_bbox_unlabeled: 0.1923, losses_cls_ig_unlabeled: 0.1856, pseudo_num: 1.4903, pseudo_num_ig: 5.6749, pseudo_num_mining: 1.1518, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4948, loss: 1.2648
2021-11-01 09:08:11,079 - mmdet - INFO - Iter [38450/40000]	lr: 2.000e-02, eta: 0:50:04, time: 1.676, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0456, loss_cls: 0.1894, acc: 93.2538, loss_bbox: 0.2351, loss_rpn_cls_unlabeled: 0.0811, loss_rpn_bbox_unlabeled: 0.0868, loss_cls_unlabeled: 0.1799, acc_unlabeled: 92.8958, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1756, pseudo_num: 1.4902, pseudo_num_ig: 5.6748, pseudo_num_mining: 1.1522, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4948, loss: 1.2042
2021-11-01 09:09:31,242 - mmdet - INFO - pseudo pos: 0.98(71437.0-person) 0.94(1669.0-bicycle) 0.94(11871.0-car) 0.98(2148.0-motorcycle) 0.99(1327.0-airplane) 1.00(1386.0-bus) 0.99(1378.0-train) 0.80(2916.0-truck) 0.79(2974.0-boat) 0.92(3761.0-traffic light) 0.99(410.0-fire hydrant) 0.99(465.0-stop sign) 0.95(340.0-parking meter) 0.79(2757.0-bench) 0.94(2665.0-bird) 0.98(1426.0-cat) 0.98(1399.0-dog) 0.99(1724.0-horse) 0.95(2676.0-sheep) 0.96(2086.0-cow) 1.00(1306.0-elephant) 0.99(405.0-bear) 0.99(1385.0-zebra) 0.99(1373.0-giraffe) 0.63(2261.0-backpack) 0.86(3182.0-umbrella) 0.58(3069.0-handbag) 0.94(1425.0-tie) 0.84(1449.0-suitcase) 1.00(665.0-frisbee) 0.79(1651.0-skis) 0.84(663.0-snowboard) 0.98(1694.0-sports ball) 0.91(2281.0-kite) 0.92(847.0-baseball bat) 0.97(935.0-baseball glove) 0.99(1390.0-skateboard) 0.92(1898.0-surfboard) 0.99(1138.0-tennis racket) 0.89(5821.0-bottle) 0.96(1993.0-wine glass) 0.91(6003.0-cup) 0.85(1321.0-fork) 0.62(2066.0-knife) 0.57(1647.0-spoon) 0.83(4318.0-bowl) 0.71(2709.0-banana) 0.57(1328.0-apple) 0.83(1363.0-sandwich) 0.67(1937.0-orange) 0.72(1875.0-broccoli) 0.60(2063.0-carrot) 0.84(705.0-hot dog) 0.96(1599.0-pizza) 0.93(1887.0-donut) 0.89(1617.0-cake) 0.83(10260.0-chair) 0.87(1661.0-couch) 0.78(2432.0-potted plant) 0.96(1198.0-bed) 0.75(5312.0-dining table) 0.96(914.0-toilet) 0.98(1377.0-tv) 0.98(1282.0-laptop) 0.98(565.0-mouse) 0.81(1334.0-remote) 0.99(752.0-keyboard) 0.85(1793.0-cell phone) 0.99(396.0-microwave) 0.91(988.0-oven) 0.37(63.0-toaster) 0.87(1408.0-sink) 0.98(729.0-refrigerator) 0.38(5511.0-book) 0.98(1754.0-clock) 0.90(1919.0-vase) 0.78(437.0-scissors) 0.93(1320.0-teddy bear) 0.03(65.0-hair drier) 0.62(450.0-toothbrush)
2021-11-01 09:09:31,242 - mmdet - INFO - pseudo ig: 0.65(261173.0-person) 0.45(6610.0-bicycle) 0.51(46220.0-car) 0.59(8719.0-motorcycle) 0.72(4694.0-airplane) 0.69(5644.0-bus) 0.63(4608.0-train) 0.36(11255.0-truck) 0.37(11019.0-boat) 0.39(14335.0-traffic light) 0.74(1828.0-fire hydrant) 0.66(1969.0-stop sign) 0.38(1354.0-parking meter) 0.23(10094.0-bench) 0.35(10805.0-bird) 0.74(4839.0-cat) 0.68(5115.0-dog) 0.64(6419.0-horse) 0.54(10238.0-sheep) 0.55(8932.0-cow) 0.82(5348.0-elephant) 0.72(1381.0-bear) 0.82(5181.0-zebra) 0.88(4787.0-giraffe) 0.24(9059.0-backpack) 0.43(12383.0-umbrella) 0.22(12665.0-handbag) 0.47(5459.0-tie) 0.42(5400.0-suitcase) 0.64(2543.0-frisbee) 0.37(6369.0-skis) 0.37(2604.0-snowboard) 0.41(6434.0-sports ball) 0.49(8420.0-kite) 0.43(3462.0-baseball bat) 0.50(3392.0-baseball glove) 0.61(5554.0-skateboard) 0.46(7211.0-surfboard) 0.69(4781.0-tennis racket) 0.44(23967.0-bottle) 0.47(8178.0-wine glass) 0.37(24143.0-cup) 0.30(5695.0-fork) 0.26(7914.0-knife) 0.22(7042.0-spoon) 0.38(17058.0-bowl) 0.27(11389.0-banana) 0.22(6145.0-apple) 0.36(4675.0-sandwich) 0.27(7624.0-orange) 0.40(7188.0-broccoli) 0.26(7969.0-carrot) 0.34(2555.0-hot dog) 0.57(5918.0-pizza) 0.45(7052.0-donut) 0.40(6268.0-cake) 0.32(39791.0-chair) 0.42(6410.0-couch) 0.37(9109.0-potted plant) 0.53(4012.0-bed) 0.38(15727.0-dining table) 0.73(4059.0-toilet) 0.64(5832.0-tv) 0.60(5344.0-laptop) 0.52(2326.0-mouse) 0.37(5946.0-remote) 0.49(2910.0-keyboard) 0.30(6788.0-cell phone) 0.60(1647.0-microwave) 0.38(3668.0-oven) 0.10(213.0-toaster) 0.49(5630.0-sink) 0.49(2583.0-refrigerator) 0.21(22153.0-book) 0.62(6013.0-clock) 0.39(7486.0-vase) 0.26(1688.0-scissors) 0.49(5169.0-teddy bear) 0.00(25.0-hair drier) 0.25(1815.0-toothbrush)
2021-11-01 09:09:31,242 - mmdet - INFO - pseudo gt: 336030.0 9243.0 56434.0 11494.0 6712.0 8039.0 5769.0 13021.0 13417.0 16461.0 2378.0 2589.0 1622.0 13032.0 13142.0 6012.0 7204.0 8293.0 12477.0 10672.0 7276.0 1736.0 7135.0 6611.0 11123.0 14574.0 15856.0 8491.0 8184.0 3469.0 8388.0 3541.0 8012.0 11820.0 4133.0 4969.0 7311.0 7719.0 6371.0 31345.0 10520.0 26594.0 7224.0 10282.0 7930.0 18333.0 11937.0 7392.0 5687.0 7980.0 9612.0 10139.0 3699.0 7536.0 9207.0 8408.0 50042.0 7602.0 11206.0 5423.0 20716.0 5516.0 7679.0 6536.0 2919.0 7338.0 3683.0 8203.0 2211.0 4252.0 256.0 7299.0 3471.0 31516.0 8463.0 8538.0 1793.0 5868.0 255.0 2482.0
2021-11-01 09:09:31,242 - mmdet - INFO - pseudo mining: 86727.0 409.0 9586.0 1347.0 1419.0 2116.0 1147.0 223.0 503.0 2302.0 1020.0 1372.0 159.0 87.0 636.0 1285.0 1102.0 1843.0 2724.0 2011.0 3052.0 647.0 3230.0 3314.0 56.0 1115.0 52.0 863.0 335.0 1326.0 201.0 35.0 2411.0 2534.0 448.0 1232.0 1645.0 570.0 2011.0 3482.0 1000.0 3247.0 48.0 90.0 69.0 1853.0 264.0 47.0 186.0 177.0 738.0 242.0 48.0 1439.0 1786.0 276.0 694.0 196.0 742.0 228.0 340.0 2346.0 2725.0 1392.0 1070.0 450.0 531.0 697.0 522.0 382.0 0.0 1459.0 354.0 105.0 4284.0 926.0 19.0 613.0 0.0 30.0
2021-11-01 09:09:32,835 - mmdet - INFO - Iter [38500/40000]	lr: 2.000e-02, eta: 0:48:27, time: 1.632, data_time: 0.027, memory: 26490, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0458, loss_cls: 0.1837, acc: 93.4243, loss_bbox: 0.2334, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0866, loss_cls_unlabeled: 0.1798, acc_unlabeled: 92.8713, loss_bbox_unlabeled: 0.1858, losses_cls_ig_unlabeled: 0.1755, pseudo_num: 1.4902, pseudo_num_ig: 5.6745, pseudo_num_mining: 1.1525, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4948, loss: 1.2023
2021-11-01 09:10:56,176 - mmdet - INFO - Iter [38550/40000]	lr: 2.000e-02, eta: 0:46:49, time: 1.669, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0447, loss_cls: 0.1901, acc: 93.2528, loss_bbox: 0.2375, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1945, acc_unlabeled: 92.4036, loss_bbox_unlabeled: 0.1932, losses_cls_ig_unlabeled: 0.1868, pseudo_num: 1.4902, pseudo_num_ig: 5.6747, pseudo_num_mining: 1.1530, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4949, loss: 1.2502
2021-11-01 09:12:20,678 - mmdet - INFO - Iter [38600/40000]	lr: 2.000e-02, eta: 0:45:12, time: 1.691, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0444, loss_cls: 0.1882, acc: 93.2830, loss_bbox: 0.2364, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1869, acc_unlabeled: 92.7035, loss_bbox_unlabeled: 0.1891, losses_cls_ig_unlabeled: 0.1792, pseudo_num: 1.4902, pseudo_num_ig: 5.6748, pseudo_num_mining: 1.1534, pseudo_num(acc): 0.8907, pseudo_num ig(acc): 0.4949, loss: 1.2260
2021-11-01 09:13:42,908 - mmdet - INFO - Iter [38650/40000]	lr: 2.000e-02, eta: 0:43:35, time: 1.645, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0461, loss_cls: 0.1901, acc: 93.2252, loss_bbox: 0.2389, loss_rpn_cls_unlabeled: 0.0792, loss_rpn_bbox_unlabeled: 0.0865, loss_cls_unlabeled: 0.1789, acc_unlabeled: 93.0194, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1726, pseudo_num: 1.4902, pseudo_num_ig: 5.6749, pseudo_num_mining: 1.1538, pseudo_num(acc): 0.8908, pseudo_num ig(acc): 0.4949, loss: 1.1964
2021-11-01 09:15:05,731 - mmdet - INFO - Iter [38700/40000]	lr: 2.000e-02, eta: 0:41:57, time: 1.656, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0443, loss_cls: 0.1885, acc: 93.3073, loss_bbox: 0.2366, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0875, loss_cls_unlabeled: 0.1872, acc_unlabeled: 92.7463, loss_bbox_unlabeled: 0.1897, losses_cls_ig_unlabeled: 0.1815, pseudo_num: 1.4901, pseudo_num_ig: 5.6747, pseudo_num_mining: 1.1541, pseudo_num(acc): 0.8908, pseudo_num ig(acc): 0.4949, loss: 1.2287
2021-11-01 09:16:30,221 - mmdet - INFO - Iter [38750/40000]	lr: 2.000e-02, eta: 0:40:20, time: 1.691, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0491, loss_cls: 0.2002, acc: 92.8154, loss_bbox: 0.2490, loss_rpn_cls_unlabeled: 0.0865, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1851, acc_unlabeled: 92.7253, loss_bbox_unlabeled: 0.1852, losses_cls_ig_unlabeled: 0.1793, pseudo_num: 1.4901, pseudo_num_ig: 5.6747, pseudo_num_mining: 1.1546, pseudo_num(acc): 0.8908, pseudo_num ig(acc): 0.4949, loss: 1.2601
2021-11-01 09:17:53,287 - mmdet - INFO - Iter [38800/40000]	lr: 2.000e-02, eta: 0:38:43, time: 1.662, data_time: 0.034, memory: 26490, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0497, loss_cls: 0.1929, acc: 93.1139, loss_bbox: 0.2463, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0970, loss_cls_unlabeled: 0.1897, acc_unlabeled: 92.4515, loss_bbox_unlabeled: 0.1863, losses_cls_ig_unlabeled: 0.1874, pseudo_num: 1.4901, pseudo_num_ig: 5.6752, pseudo_num_mining: 1.1551, pseudo_num(acc): 0.8908, pseudo_num ig(acc): 0.4949, loss: 1.2673
2021-11-01 09:19:15,770 - mmdet - INFO - Iter [38850/40000]	lr: 2.000e-02, eta: 0:37:06, time: 1.645, data_time: 0.026, memory: 26490, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0453, loss_cls: 0.1948, acc: 93.0325, loss_bbox: 0.2464, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1848, acc_unlabeled: 92.8477, loss_bbox_unlabeled: 0.1879, losses_cls_ig_unlabeled: 0.1747, pseudo_num: 1.4901, pseudo_num_ig: 5.6754, pseudo_num_mining: 1.1555, pseudo_num(acc): 0.8908, pseudo_num ig(acc): 0.4949, loss: 1.2403
2021-11-01 09:20:39,543 - mmdet - INFO - Iter [38900/40000]	lr: 2.000e-02, eta: 0:35:28, time: 1.679, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0453, loss_cls: 0.1914, acc: 93.2015, loss_bbox: 0.2382, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1954, acc_unlabeled: 92.5079, loss_bbox_unlabeled: 0.1915, losses_cls_ig_unlabeled: 0.1866, pseudo_num: 1.4900, pseudo_num_ig: 5.6757, pseudo_num_mining: 1.1561, pseudo_num(acc): 0.8908, pseudo_num ig(acc): 0.4949, loss: 1.2613
2021-11-01 09:22:03,511 - mmdet - INFO - Iter [38950/40000]	lr: 2.000e-02, eta: 0:33:51, time: 1.677, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0468, loss_cls: 0.1899, acc: 93.2058, loss_bbox: 0.2427, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1924, acc_unlabeled: 92.6479, loss_bbox_unlabeled: 0.1934, losses_cls_ig_unlabeled: 0.1844, pseudo_num: 1.4900, pseudo_num_ig: 5.6761, pseudo_num_mining: 1.1566, pseudo_num(acc): 0.8909, pseudo_num ig(acc): 0.4950, loss: 1.2557
2021-11-01 09:23:26,522 - mmdet - INFO - pseudo pos: 0.98(72414.0-person) 0.94(1687.0-bicycle) 0.94(12046.0-car) 0.98(2185.0-motorcycle) 0.99(1351.0-airplane) 1.00(1406.0-bus) 0.99(1396.0-train) 0.80(2956.0-truck) 0.79(3009.0-boat) 0.92(3815.0-traffic light) 0.99(418.0-fire hydrant) 0.99(469.0-stop sign) 0.95(344.0-parking meter) 0.79(2804.0-bench) 0.94(2724.0-bird) 0.98(1442.0-cat) 0.98(1424.0-dog) 0.99(1753.0-horse) 0.95(2696.0-sheep) 0.96(2116.0-cow) 1.00(1322.0-elephant) 0.99(410.0-bear) 0.99(1395.0-zebra) 0.99(1384.0-giraffe) 0.63(2280.0-backpack) 0.86(3205.0-umbrella) 0.58(3111.0-handbag) 0.94(1442.0-tie) 0.84(1460.0-suitcase) 1.00(675.0-frisbee) 0.79(1686.0-skis) 0.84(671.0-snowboard) 0.98(1719.0-sports ball) 0.91(2300.0-kite) 0.92(865.0-baseball bat) 0.97(946.0-baseball glove) 0.99(1407.0-skateboard) 0.92(1915.0-surfboard) 0.99(1153.0-tennis racket) 0.89(5901.0-bottle) 0.96(2020.0-wine glass) 0.91(6041.0-cup) 0.86(1335.0-fork) 0.62(2107.0-knife) 0.57(1665.0-spoon) 0.83(4381.0-bowl) 0.71(2767.0-banana) 0.57(1345.0-apple) 0.84(1370.0-sandwich) 0.67(1978.0-orange) 0.73(1888.0-broccoli) 0.60(2073.0-carrot) 0.83(715.0-hot dog) 0.96(1624.0-pizza) 0.93(1915.0-donut) 0.89(1626.0-cake) 0.83(10381.0-chair) 0.87(1678.0-couch) 0.78(2466.0-potted plant) 0.96(1215.0-bed) 0.75(5349.0-dining table) 0.96(929.0-toilet) 0.98(1392.0-tv) 0.98(1304.0-laptop) 0.98(571.0-mouse) 0.81(1348.0-remote) 0.99(759.0-keyboard) 0.85(1813.0-cell phone) 0.99(403.0-microwave) 0.91(1000.0-oven) 0.34(70.0-toaster) 0.87(1437.0-sink) 0.98(738.0-refrigerator) 0.38(5573.0-book) 0.98(1782.0-clock) 0.90(1945.0-vase) 0.79(454.0-scissors) 0.93(1332.0-teddy bear) 0.03(69.0-hair drier) 0.62(451.0-toothbrush)
2021-11-01 09:23:26,522 - mmdet - INFO - pseudo ig: 0.65(264934.0-person) 0.45(6687.0-bicycle) 0.51(46872.0-car) 0.60(8860.0-motorcycle) 0.72(4773.0-airplane) 0.69(5734.0-bus) 0.64(4669.0-train) 0.36(11404.0-truck) 0.37(11160.0-boat) 0.39(14492.0-traffic light) 0.75(1856.0-fire hydrant) 0.66(1987.0-stop sign) 0.38(1373.0-parking meter) 0.23(10237.0-bench) 0.35(10968.0-bird) 0.74(4921.0-cat) 0.68(5180.0-dog) 0.64(6525.0-horse) 0.54(10379.0-sheep) 0.55(9034.0-cow) 0.82(5432.0-elephant) 0.71(1397.0-bear) 0.82(5232.0-zebra) 0.88(4842.0-giraffe) 0.24(9178.0-backpack) 0.43(12541.0-umbrella) 0.22(12825.0-handbag) 0.48(5533.0-tie) 0.42(5490.0-suitcase) 0.64(2573.0-frisbee) 0.37(6507.0-skis) 0.37(2627.0-snowboard) 0.41(6524.0-sports ball) 0.49(8504.0-kite) 0.43(3511.0-baseball bat) 0.50(3435.0-baseball glove) 0.61(5623.0-skateboard) 0.46(7324.0-surfboard) 0.69(4870.0-tennis racket) 0.44(24299.0-bottle) 0.47(8283.0-wine glass) 0.37(24460.0-cup) 0.30(5747.0-fork) 0.26(8045.0-knife) 0.22(7122.0-spoon) 0.38(17292.0-bowl) 0.27(11535.0-banana) 0.22(6233.0-apple) 0.36(4740.0-sandwich) 0.27(7772.0-orange) 0.40(7253.0-broccoli) 0.26(8042.0-carrot) 0.34(2576.0-hot dog) 0.57(5994.0-pizza) 0.45(7178.0-donut) 0.40(6337.0-cake) 0.32(40242.0-chair) 0.42(6463.0-couch) 0.37(9216.0-potted plant) 0.54(4071.0-bed) 0.38(15913.0-dining table) 0.73(4099.0-toilet) 0.64(5924.0-tv) 0.60(5405.0-laptop) 0.53(2348.0-mouse) 0.37(6007.0-remote) 0.49(2948.0-keyboard) 0.30(6881.0-cell phone) 0.59(1675.0-microwave) 0.38(3737.0-oven) 0.11(216.0-toaster) 0.49(5711.0-sink) 0.49(2617.0-refrigerator) 0.21(22370.0-book) 0.62(6081.0-clock) 0.39(7576.0-vase) 0.27(1752.0-scissors) 0.49(5228.0-teddy bear) 0.00(29.0-hair drier) 0.26(1834.0-toothbrush)
2021-11-01 09:23:26,522 - mmdet - INFO - pseudo gt: 340656.0 9328.0 57293.0 11674.0 6819.0 8145.0 5844.0 13184.0 13612.0 16660.0 2423.0 2618.0 1643.0 13182.0 13330.0 6106.0 7298.0 8418.0 12629.0 10799.0 7381.0 1754.0 7203.0 6681.0 11267.0 14743.0 16081.0 8607.0 8308.0 3503.0 8543.0 3582.0 8105.0 11935.0 4209.0 5044.0 7396.0 7830.0 6460.0 31790.0 10667.0 26906.0 7305.0 10462.0 8040.0 18554.0 12117.0 7502.0 5758.0 8097.0 9712.0 10279.0 3749.0 7642.0 9343.0 8495.0 50689.0 7681.0 11337.0 5496.0 20939.0 5577.0 7781.0 6621.0 2955.0 7433.0 3743.0 8303.0 2239.0 4327.0 264.0 7408.0 3525.0 31911.0 8559.0 8633.0 1856.0 5944.0 256.0 2518.0
2021-11-01 09:23:26,522 - mmdet - INFO - pseudo mining: 88214.0 416.0 9748.0 1375.0 1449.0 2157.0 1162.0 227.0 522.0 2347.0 1037.0 1387.0 161.0 88.0 642.0 1314.0 1122.0 1874.0 2770.0 2044.0 3103.0 653.0 3274.0 3358.0 57.0 1136.0 56.0 884.0 345.0 1343.0 202.0 35.0 2438.0 2564.0 454.0 1249.0 1676.0 587.0 2047.0 3538.0 1012.0 3306.0 49.0 94.0 71.0 1895.0 269.0 49.0 191.0 182.0 750.0 246.0 48.0 1461.0 1825.0 286.0 707.0 201.0 758.0 239.0 349.0 2375.0 2770.0 1413.0 1083.0 458.0 540.0 718.0 529.0 398.0 0.0 1486.0 363.0 105.0 4328.0 940.0 22.0 631.0 0.0 32.0
2021-11-01 09:24:58,247 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 09:24:58,247 - mmdet - INFO - Iter [39000/40000]	lr: 2.000e-02, eta: 0:32:14, time: 1.696, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0478, loss_cls: 0.1979, acc: 92.9629, loss_bbox: 0.2454, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0883, loss_cls_unlabeled: 0.1835, acc_unlabeled: 92.6614, loss_bbox_unlabeled: 0.1790, losses_cls_ig_unlabeled: 0.1762, pseudo_num: 1.4900, pseudo_num_ig: 5.6764, pseudo_num_mining: 1.1571, pseudo_num(acc): 0.8909, pseudo_num ig(acc): 0.4949, loss: 1.2341
2021-11-01 09:26:22,114 - mmdet - INFO - Iter [39050/40000]	lr: 2.000e-02, eta: 0:30:39, time: 3.478, data_time: 1.828, memory: 26490, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0448, loss_cls: 0.1859, acc: 93.3602, loss_bbox: 0.2357, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1841, acc_unlabeled: 92.5996, loss_bbox_unlabeled: 0.1852, losses_cls_ig_unlabeled: 0.1827, pseudo_num: 1.4899, pseudo_num_ig: 5.6767, pseudo_num_mining: 1.1576, pseudo_num(acc): 0.8909, pseudo_num ig(acc): 0.4949, loss: 1.2277
2021-11-01 09:27:47,303 - mmdet - INFO - Iter [39100/40000]	lr: 2.000e-02, eta: 0:29:02, time: 1.704, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0465, loss_cls: 0.1862, acc: 93.3289, loss_bbox: 0.2310, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1838, acc_unlabeled: 92.4886, loss_bbox_unlabeled: 0.1843, losses_cls_ig_unlabeled: 0.1876, pseudo_num: 1.4899, pseudo_num_ig: 5.6772, pseudo_num_mining: 1.1581, pseudo_num(acc): 0.8909, pseudo_num ig(acc): 0.4949, loss: 1.2321
2021-11-01 09:29:12,773 - mmdet - INFO - Iter [39150/40000]	lr: 2.000e-02, eta: 0:27:25, time: 1.708, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0449, loss_cls: 0.1853, acc: 93.3297, loss_bbox: 0.2361, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0983, loss_cls_unlabeled: 0.1923, acc_unlabeled: 92.4435, loss_bbox_unlabeled: 0.1944, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.4899, pseudo_num_ig: 5.6779, pseudo_num_mining: 1.1586, pseudo_num(acc): 0.8909, pseudo_num ig(acc): 0.4949, loss: 1.2532
2021-11-01 09:30:37,577 - mmdet - INFO - Iter [39200/40000]	lr: 2.000e-02, eta: 0:25:48, time: 1.693, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0452, loss_cls: 0.1817, acc: 93.5200, loss_bbox: 0.2265, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0868, loss_cls_unlabeled: 0.1792, acc_unlabeled: 92.8879, loss_bbox_unlabeled: 0.1836, losses_cls_ig_unlabeled: 0.1715, pseudo_num: 1.4900, pseudo_num_ig: 5.6783, pseudo_num_mining: 1.1591, pseudo_num(acc): 0.8909, pseudo_num ig(acc): 0.4949, loss: 1.1853
2021-11-01 09:32:01,405 - mmdet - INFO - Iter [39250/40000]	lr: 2.000e-02, eta: 0:24:11, time: 1.680, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0474, loss_cls: 0.1930, acc: 93.1271, loss_bbox: 0.2413, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1891, acc_unlabeled: 92.6346, loss_bbox_unlabeled: 0.1881, losses_cls_ig_unlabeled: 0.1782, pseudo_num: 1.4900, pseudo_num_ig: 5.6783, pseudo_num_mining: 1.1594, pseudo_num(acc): 0.8910, pseudo_num ig(acc): 0.4949, loss: 1.2453
2021-11-01 09:33:26,600 - mmdet - INFO - Iter [39300/40000]	lr: 2.000e-02, eta: 0:22:34, time: 1.704, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0483, loss_cls: 0.1955, acc: 93.0298, loss_bbox: 0.2472, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1912, acc_unlabeled: 92.7383, loss_bbox_unlabeled: 0.1912, losses_cls_ig_unlabeled: 0.1818, pseudo_num: 1.4899, pseudo_num_ig: 5.6783, pseudo_num_mining: 1.1598, pseudo_num(acc): 0.8910, pseudo_num ig(acc): 0.4949, loss: 1.2622
2021-11-01 09:34:51,599 - mmdet - INFO - Iter [39350/40000]	lr: 2.000e-02, eta: 0:20:57, time: 1.701, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0466, loss_cls: 0.1935, acc: 93.1071, loss_bbox: 0.2449, loss_rpn_cls_unlabeled: 0.0865, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1836, acc_unlabeled: 92.6942, loss_bbox_unlabeled: 0.1863, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.4899, pseudo_num_ig: 5.6785, pseudo_num_mining: 1.1603, pseudo_num(acc): 0.8910, pseudo_num ig(acc): 0.4949, loss: 1.2452
2021-11-01 09:36:16,260 - mmdet - INFO - Iter [39400/40000]	lr: 2.000e-02, eta: 0:19:20, time: 1.689, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0475, loss_cls: 0.1867, acc: 93.3116, loss_bbox: 0.2364, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1829, acc_unlabeled: 92.5995, loss_bbox_unlabeled: 0.1859, losses_cls_ig_unlabeled: 0.1827, pseudo_num: 1.4898, pseudo_num_ig: 5.6789, pseudo_num_mining: 1.1608, pseudo_num(acc): 0.8911, pseudo_num ig(acc): 0.4949, loss: 1.2326
2021-11-01 09:37:38,756 - mmdet - INFO - Iter [39450/40000]	lr: 2.000e-02, eta: 0:17:43, time: 1.653, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0456, loss_cls: 0.1937, acc: 93.1029, loss_bbox: 0.2404, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0873, loss_cls_unlabeled: 0.1912, acc_unlabeled: 92.5771, loss_bbox_unlabeled: 0.1901, losses_cls_ig_unlabeled: 0.1808, pseudo_num: 1.4898, pseudo_num_ig: 5.6791, pseudo_num_mining: 1.1612, pseudo_num(acc): 0.8911, pseudo_num ig(acc): 0.4949, loss: 1.2448
2021-11-01 09:39:02,562 - mmdet - INFO - pseudo pos: 0.98(73315.0-person) 0.94(1715.0-bicycle) 0.94(12207.0-car) 0.98(2215.0-motorcycle) 0.99(1370.0-airplane) 1.00(1421.0-bus) 0.99(1425.0-train) 0.80(2995.0-truck) 0.80(3045.0-boat) 0.92(3850.0-traffic light) 0.99(422.0-fire hydrant) 0.99(481.0-stop sign) 0.95(349.0-parking meter) 0.79(2836.0-bench) 0.94(2760.0-bird) 0.98(1458.0-cat) 0.98(1433.0-dog) 0.99(1782.0-horse) 0.95(2742.0-sheep) 0.96(2152.0-cow) 1.00(1343.0-elephant) 0.99(420.0-bear) 0.99(1418.0-zebra) 0.99(1403.0-giraffe) 0.63(2313.0-backpack) 0.86(3234.0-umbrella) 0.58(3158.0-handbag) 0.94(1461.0-tie) 0.85(1472.0-suitcase) 1.00(680.0-frisbee) 0.79(1711.0-skis) 0.84(677.0-snowboard) 0.98(1739.0-sports ball) 0.91(2317.0-kite) 0.92(869.0-baseball bat) 0.97(956.0-baseball glove) 0.99(1422.0-skateboard) 0.92(1934.0-surfboard) 0.99(1164.0-tennis racket) 0.89(5992.0-bottle) 0.96(2053.0-wine glass) 0.91(6127.0-cup) 0.86(1354.0-fork) 0.62(2134.0-knife) 0.57(1679.0-spoon) 0.83(4430.0-bowl) 0.71(2816.0-banana) 0.57(1366.0-apple) 0.84(1386.0-sandwich) 0.67(2000.0-orange) 0.73(1908.0-broccoli) 0.60(2085.0-carrot) 0.83(721.0-hot dog) 0.96(1651.0-pizza) 0.94(1940.0-donut) 0.89(1651.0-cake) 0.83(10488.0-chair) 0.87(1687.0-couch) 0.78(2502.0-potted plant) 0.96(1221.0-bed) 0.76(5420.0-dining table) 0.96(940.0-toilet) 0.98(1409.0-tv) 0.98(1323.0-laptop) 0.98(584.0-mouse) 0.81(1383.0-remote) 0.99(769.0-keyboard) 0.85(1831.0-cell phone) 0.99(410.0-microwave) 0.91(1010.0-oven) 0.33(72.0-toaster) 0.87(1450.0-sink) 0.98(744.0-refrigerator) 0.38(5647.0-book) 0.98(1804.0-clock) 0.90(1962.0-vase) 0.79(457.0-scissors) 0.93(1343.0-teddy bear) 0.03(69.0-hair drier) 0.62(457.0-toothbrush)
2021-11-01 09:39:02,562 - mmdet - INFO - pseudo ig: 0.65(268372.0-person) 0.45(6759.0-bicycle) 0.51(47393.0-car) 0.60(8942.0-motorcycle) 0.72(4813.0-airplane) 0.70(5793.0-bus) 0.64(4743.0-train) 0.36(11537.0-truck) 0.37(11386.0-boat) 0.39(14648.0-traffic light) 0.75(1875.0-fire hydrant) 0.66(2013.0-stop sign) 0.38(1385.0-parking meter) 0.23(10393.0-bench) 0.35(11143.0-bird) 0.74(4992.0-cat) 0.68(5250.0-dog) 0.63(6626.0-horse) 0.54(10496.0-sheep) 0.55(9197.0-cow) 0.81(5531.0-elephant) 0.71(1410.0-bear) 0.82(5320.0-zebra) 0.88(4901.0-giraffe) 0.24(9318.0-backpack) 0.43(12636.0-umbrella) 0.22(13009.0-handbag) 0.48(5601.0-tie) 0.42(5574.0-suitcase) 0.64(2608.0-frisbee) 0.37(6611.0-skis) 0.38(2644.0-snowboard) 0.41(6601.0-sports ball) 0.49(8579.0-kite) 0.43(3576.0-baseball bat) 0.50(3481.0-baseball glove) 0.61(5701.0-skateboard) 0.46(7391.0-surfboard) 0.69(4938.0-tennis racket) 0.44(24635.0-bottle) 0.47(8365.0-wine glass) 0.37(24818.0-cup) 0.30(5821.0-fork) 0.26(8128.0-knife) 0.22(7239.0-spoon) 0.38(17531.0-bowl) 0.27(11710.0-banana) 0.22(6332.0-apple) 0.36(4815.0-sandwich) 0.27(7870.0-orange) 0.40(7310.0-broccoli) 0.26(8109.0-carrot) 0.35(2608.0-hot dog) 0.57(6067.0-pizza) 0.45(7238.0-donut) 0.40(6408.0-cake) 0.32(40772.0-chair) 0.42(6554.0-couch) 0.37(9313.0-potted plant) 0.54(4114.0-bed) 0.38(16140.0-dining table) 0.74(4141.0-toilet) 0.64(6008.0-tv) 0.60(5483.0-laptop) 0.53(2398.0-mouse) 0.37(6084.0-remote) 0.49(2989.0-keyboard) 0.31(7008.0-cell phone) 0.60(1701.0-microwave) 0.38(3800.0-oven) 0.11(217.0-toaster) 0.49(5782.0-sink) 0.50(2659.0-refrigerator) 0.21(22687.0-book) 0.62(6174.0-clock) 0.39(7642.0-vase) 0.27(1759.0-scissors) 0.49(5279.0-teddy bear) 0.00(31.0-hair drier) 0.25(1860.0-toothbrush)
2021-11-01 09:39:02,562 - mmdet - INFO - pseudo gt: 344884.0 9445.0 57930.0 11776.0 6882.0 8250.0 5942.0 13332.0 13834.0 16807.0 2450.0 2658.0 1662.0 13308.0 13486.0 6202.0 7410.0 8534.0 12777.0 10940.0 7474.0 1769.0 7299.0 6755.0 11449.0 14896.0 16274.0 8696.0 8438.0 3547.0 8665.0 3615.0 8215.0 12047.0 4257.0 5110.0 7488.0 7914.0 6539.0 32259.0 10808.0 27278.0 7423.0 10599.0 8158.0 18787.0 12256.0 7608.0 5890.0 8231.0 9809.0 10401.0 3813.0 7751.0 9454.0 8631.0 51371.0 7790.0 11489.0 5546.0 21253.0 5665.0 7892.0 6712.0 2999.0 7526.0 3796.0 8418.0 2276.0 4388.0 271.0 7503.0 3586.0 32327.0 8671.0 8740.0 1879.0 6008.0 256.0 2547.0
2021-11-01 09:39:02,562 - mmdet - INFO - pseudo mining: 89601.0 420.0 9869.0 1385.0 1464.0 2188.0 1184.0 230.0 534.0 2378.0 1049.0 1404.0 164.0 90.0 664.0 1340.0 1139.0 1893.0 2804.0 2075.0 3148.0 659.0 3315.0 3394.0 61.0 1149.0 59.0 894.0 357.0 1368.0 205.0 35.0 2476.0 2594.0 465.0 1264.0 1705.0 598.0 2083.0 3595.0 1030.0 3356.0 54.0 96.0 76.0 1938.0 276.0 50.0 198.0 183.0 757.0 253.0 48.0 1478.0 1853.0 292.0 721.0 211.0 773.0 242.0 356.0 2407.0 2823.0 1442.0 1107.0 467.0 548.0 737.0 541.0 407.0 0.0 1510.0 370.0 109.0 4398.0 950.0 22.0 636.0 0.0 33.0
2021-11-01 09:39:04,247 - mmdet - INFO - Iter [39500/40000]	lr: 2.000e-02, eta: 0:16:06, time: 1.707, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0459, loss_cls: 0.1925, acc: 93.1249, loss_bbox: 0.2428, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0879, loss_cls_unlabeled: 0.1886, acc_unlabeled: 92.5443, loss_bbox_unlabeled: 0.1836, losses_cls_ig_unlabeled: 0.1842, pseudo_num: 1.4898, pseudo_num_ig: 5.6793, pseudo_num_mining: 1.1617, pseudo_num(acc): 0.8911, pseudo_num ig(acc): 0.4949, loss: 1.2420
2021-11-01 09:40:29,400 - mmdet - INFO - Iter [39550/40000]	lr: 2.000e-02, eta: 0:14:30, time: 1.703, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0430, loss_cls: 0.1829, acc: 93.4562, loss_bbox: 0.2329, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0875, loss_cls_unlabeled: 0.1936, acc_unlabeled: 92.7180, loss_bbox_unlabeled: 0.1942, losses_cls_ig_unlabeled: 0.1766, pseudo_num: 1.4898, pseudo_num_ig: 5.6795, pseudo_num_mining: 1.1621, pseudo_num(acc): 0.8911, pseudo_num ig(acc): 0.4949, loss: 1.2255
2021-11-01 09:41:54,023 - mmdet - INFO - Iter [39600/40000]	lr: 2.000e-02, eta: 0:12:53, time: 1.693, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0465, loss_cls: 0.1904, acc: 93.2527, loss_bbox: 0.2395, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0895, loss_cls_unlabeled: 0.1890, acc_unlabeled: 92.5378, loss_bbox_unlabeled: 0.1888, losses_cls_ig_unlabeled: 0.1847, pseudo_num: 1.4899, pseudo_num_ig: 5.6797, pseudo_num_mining: 1.1627, pseudo_num(acc): 0.8911, pseudo_num ig(acc): 0.4949, loss: 1.2413
2021-11-01 09:43:19,112 - mmdet - INFO - Iter [39650/40000]	lr: 2.000e-02, eta: 0:11:16, time: 1.705, data_time: 0.033, memory: 26490, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0465, loss_cls: 0.1944, acc: 93.1704, loss_bbox: 0.2374, loss_rpn_cls_unlabeled: 0.0842, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1836, acc_unlabeled: 92.7012, loss_bbox_unlabeled: 0.1832, losses_cls_ig_unlabeled: 0.1783, pseudo_num: 1.4899, pseudo_num_ig: 5.6798, pseudo_num_mining: 1.1630, pseudo_num(acc): 0.8912, pseudo_num ig(acc): 0.4949, loss: 1.2282
2021-11-01 09:44:43,704 - mmdet - INFO - Iter [39700/40000]	lr: 2.000e-02, eta: 0:09:39, time: 1.690, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0461, loss_cls: 0.1915, acc: 93.1370, loss_bbox: 0.2415, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0901, loss_cls_unlabeled: 0.1937, acc_unlabeled: 92.4973, loss_bbox_unlabeled: 0.1865, losses_cls_ig_unlabeled: 0.1870, pseudo_num: 1.4898, pseudo_num_ig: 5.6800, pseudo_num_mining: 1.1635, pseudo_num(acc): 0.8912, pseudo_num ig(acc): 0.4949, loss: 1.2530
2021-11-01 09:46:08,560 - mmdet - INFO - Iter [39750/40000]	lr: 2.000e-02, eta: 0:08:03, time: 1.696, data_time: 0.030, memory: 26490, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0457, loss_cls: 0.1908, acc: 93.1798, loss_bbox: 0.2406, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1859, acc_unlabeled: 92.5867, loss_bbox_unlabeled: 0.1839, losses_cls_ig_unlabeled: 0.1865, pseudo_num: 1.4898, pseudo_num_ig: 5.6804, pseudo_num_mining: 1.1640, pseudo_num(acc): 0.8912, pseudo_num ig(acc): 0.4949, loss: 1.2439
2021-11-01 09:47:32,631 - mmdet - INFO - Iter [39800/40000]	lr: 2.000e-02, eta: 0:06:26, time: 1.685, data_time: 0.032, memory: 26490, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0444, loss_cls: 0.1831, acc: 93.4265, loss_bbox: 0.2342, loss_rpn_cls_unlabeled: 0.0822, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1892, acc_unlabeled: 92.8767, loss_bbox_unlabeled: 0.1907, losses_cls_ig_unlabeled: 0.1726, pseudo_num: 1.4897, pseudo_num_ig: 5.6806, pseudo_num_mining: 1.1644, pseudo_num(acc): 0.8912, pseudo_num ig(acc): 0.4949, loss: 1.2122
2021-11-01 09:49:00,064 - mmdet - INFO - Iter [39850/40000]	lr: 2.000e-02, eta: 0:04:49, time: 1.747, data_time: 0.028, memory: 26490, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0456, loss_cls: 0.1823, acc: 93.4761, loss_bbox: 0.2331, loss_rpn_cls_unlabeled: 0.0800, loss_rpn_bbox_unlabeled: 0.0914, loss_cls_unlabeled: 0.1837, acc_unlabeled: 92.6613, loss_bbox_unlabeled: 0.1848, losses_cls_ig_unlabeled: 0.1812, pseudo_num: 1.4898, pseudo_num_ig: 5.6806, pseudo_num_mining: 1.1647, pseudo_num(acc): 0.8912, pseudo_num ig(acc): 0.4949, loss: 1.2099
2021-11-01 09:50:25,119 - mmdet - INFO - Iter [39900/40000]	lr: 2.000e-02, eta: 0:03:13, time: 1.702, data_time: 0.031, memory: 26490, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0459, loss_cls: 0.1923, acc: 93.0339, loss_bbox: 0.2411, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1925, acc_unlabeled: 92.4053, loss_bbox_unlabeled: 0.1941, losses_cls_ig_unlabeled: 0.1879, pseudo_num: 1.4898, pseudo_num_ig: 5.6806, pseudo_num_mining: 1.1651, pseudo_num(acc): 0.8912, pseudo_num ig(acc): 0.4949, loss: 1.2566
2021-11-01 09:51:50,486 - mmdet - INFO - Iter [39950/40000]	lr: 2.000e-02, eta: 0:01:36, time: 1.707, data_time: 0.029, memory: 26490, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0456, loss_cls: 0.1876, acc: 93.2341, loss_bbox: 0.2378, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1860, acc_unlabeled: 92.6597, loss_bbox_unlabeled: 0.1840, losses_cls_ig_unlabeled: 0.1798, pseudo_num: 1.4898, pseudo_num_ig: 5.6808, pseudo_num_mining: 1.1655, pseudo_num(acc): 0.8912, pseudo_num ig(acc): 0.4949, loss: 1.2262
2021-11-01 09:53:13,483 - mmdet - INFO - pseudo pos: 0.98(74200.0-person) 0.94(1727.0-bicycle) 0.94(12326.0-car) 0.98(2240.0-motorcycle) 0.99(1400.0-airplane) 1.00(1435.0-bus) 0.99(1444.0-train) 0.80(3036.0-truck) 0.80(3076.0-boat) 0.92(3893.0-traffic light) 0.99(430.0-fire hydrant) 0.99(487.0-stop sign) 0.95(356.0-parking meter) 0.79(2868.0-bench) 0.94(2797.0-bird) 0.98(1474.0-cat) 0.98(1449.0-dog) 0.99(1803.0-horse) 0.95(2800.0-sheep) 0.96(2180.0-cow) 1.00(1367.0-elephant) 0.99(427.0-bear) 0.99(1443.0-zebra) 0.99(1430.0-giraffe) 0.63(2348.0-backpack) 0.86(3266.0-umbrella) 0.58(3181.0-handbag) 0.94(1483.0-tie) 0.84(1482.0-suitcase) 0.99(685.0-frisbee) 0.79(1731.0-skis) 0.84(682.0-snowboard) 0.98(1764.0-sports ball) 0.91(2339.0-kite) 0.92(884.0-baseball bat) 0.97(968.0-baseball glove) 0.99(1440.0-skateboard) 0.92(1960.0-surfboard) 0.99(1186.0-tennis racket) 0.89(6072.0-bottle) 0.96(2075.0-wine glass) 0.91(6218.0-cup) 0.86(1378.0-fork) 0.62(2159.0-knife) 0.57(1691.0-spoon) 0.84(4477.0-bowl) 0.71(2852.0-banana) 0.57(1389.0-apple) 0.83(1398.0-sandwich) 0.67(2051.0-orange) 0.73(1930.0-broccoli) 0.60(2089.0-carrot) 0.83(730.0-hot dog) 0.96(1676.0-pizza) 0.94(1968.0-donut) 0.89(1666.0-cake) 0.83(10597.0-chair) 0.87(1697.0-couch) 0.78(2531.0-potted plant) 0.96(1240.0-bed) 0.76(5503.0-dining table) 0.96(956.0-toilet) 0.98(1423.0-tv) 0.98(1344.0-laptop) 0.98(593.0-mouse) 0.81(1413.0-remote) 0.99(776.0-keyboard) 0.85(1849.0-cell phone) 0.99(418.0-microwave) 0.91(1021.0-oven) 0.33(72.0-toaster) 0.87(1463.0-sink) 0.98(758.0-refrigerator) 0.38(5713.0-book) 0.98(1830.0-clock) 0.90(1981.0-vase) 0.79(461.0-scissors) 0.93(1357.0-teddy bear) 0.03(69.0-hair drier) 0.62(463.0-toothbrush)
2021-11-01 09:53:13,483 - mmdet - INFO - pseudo ig: 0.65(271918.0-person) 0.45(6810.0-bicycle) 0.51(47985.0-car) 0.59(9027.0-motorcycle) 0.72(4905.0-airplane) 0.70(5846.0-bus) 0.63(4824.0-train) 0.36(11679.0-truck) 0.37(11560.0-boat) 0.39(14837.0-traffic light) 0.75(1889.0-fire hydrant) 0.66(2034.0-stop sign) 0.38(1406.0-parking meter) 0.23(10539.0-bench) 0.35(11294.0-bird) 0.75(5060.0-cat) 0.68(5315.0-dog) 0.63(6708.0-horse) 0.54(10690.0-sheep) 0.54(9328.0-cow) 0.81(5634.0-elephant) 0.71(1423.0-bear) 0.81(5395.0-zebra) 0.88(4961.0-giraffe) 0.24(9436.0-backpack) 0.43(12744.0-umbrella) 0.22(13151.0-handbag) 0.47(5676.0-tie) 0.42(5639.0-suitcase) 0.64(2644.0-frisbee) 0.37(6700.0-skis) 0.38(2681.0-snowboard) 0.41(6690.0-sports ball) 0.49(8680.0-kite) 0.43(3626.0-baseball bat) 0.50(3511.0-baseball glove) 0.61(5769.0-skateboard) 0.46(7469.0-surfboard) 0.69(5000.0-tennis racket) 0.44(24985.0-bottle) 0.47(8468.0-wine glass) 0.37(25162.0-cup) 0.30(5900.0-fork) 0.26(8206.0-knife) 0.22(7319.0-spoon) 0.38(17735.0-bowl) 0.27(11831.0-banana) 0.22(6397.0-apple) 0.36(4889.0-sandwich) 0.27(8009.0-orange) 0.40(7379.0-broccoli) 0.26(8189.0-carrot) 0.35(2652.0-hot dog) 0.57(6155.0-pizza) 0.45(7401.0-donut) 0.40(6475.0-cake) 0.32(41293.0-chair) 0.43(6609.0-couch) 0.38(9426.0-potted plant) 0.54(4170.0-bed) 0.38(16346.0-dining table) 0.74(4186.0-toilet) 0.64(6063.0-tv) 0.60(5544.0-laptop) 0.53(2424.0-mouse) 0.37(6172.0-remote) 0.50(3017.0-keyboard) 0.31(7090.0-cell phone) 0.60(1718.0-microwave) 0.38(3867.0-oven) 0.11(218.0-toaster) 0.49(5870.0-sink) 0.50(2688.0-refrigerator) 0.20(23124.0-book) 0.62(6277.0-clock) 0.39(7713.0-vase) 0.27(1779.0-scissors) 0.49(5359.0-teddy bear) 0.00(31.0-hair drier) 0.26(1881.0-toothbrush)
2021-11-01 09:53:13,483 - mmdet - INFO - pseudo gt: 348963.0 9507.0 58621.0 11890.0 7016.0 8336.0 6032.0 13502.0 13968.0 16974.0 2477.0 2686.0 1686.0 13459.0 13717.0 6294.0 7519.0 8607.0 13024.0 11072.0 7573.0 1789.0 7385.0 6847.0 11577.0 15083.0 16451.0 8807.0 8544.0 3593.0 8770.0 3651.0 8319.0 12166.0 4310.0 5148.0 7568.0 8005.0 6640.0 32641.0 10928.0 27660.0 7549.0 10732.0 8261.0 19008.0 12373.0 7715.0 5958.0 8359.0 9940.0 10512.0 3909.0 7858.0 9618.0 8799.0 52034.0 7883.0 11649.0 5611.0 21525.0 5742.0 7970.0 6787.0 3046.0 7635.0 3838.0 8518.0 2309.0 4447.0 273.0 7615.0 3634.0 32683.0 8780.0 8834.0 1894.0 6073.0 259.0 2592.0
2021-11-01 09:53:13,483 - mmdet - INFO - pseudo mining: 90970.0 421.0 10024.0 1405.0 1502.0 2210.0 1204.0 238.0 546.0 2411.0 1059.0 1417.0 165.0 92.0 674.0 1368.0 1160.0 1915.0 2860.0 2085.0 3188.0 665.0 3355.0 3440.0 62.0 1165.0 62.0 909.0 364.0 1394.0 209.0 36.0 2515.0 2629.0 471.0 1282.0 1728.0 607.0 2124.0 3654.0 1054.0 3425.0 57.0 100.0 76.0 1969.0 281.0 50.0 206.0 188.0 770.0 260.0 51.0 1499.0 1918.0 298.0 738.0 217.0 793.0 249.0 360.0 2444.0 2863.0 1468.0 1121.0 476.0 559.0 745.0 547.0 424.0 0.0 1546.0 377.0 113.0 4463.0 962.0 22.0 657.0 0.0 36.0
2021-11-01 09:53:14,986 - mmdet - INFO - Saving checkpoint at 40000 iterations
2021-11-01 09:54:12,511 - mmdet - INFO - Evaluating bbox...
2021-11-01 09:55:22,942 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.463 | bicycle      | 0.208 | car            | 0.371 |
| motorcycle    | 0.298 | airplane     | 0.531 | bus            | 0.553 |
| train         | 0.506 | truck        | 0.243 | boat           | 0.199 |
| traffic light | 0.237 | fire hydrant | 0.583 | stop sign      | 0.579 |
| parking meter | 0.414 | bench        | 0.164 | bird           | 0.266 |
| cat           | 0.520 | dog          | 0.464 | horse          | 0.466 |
| sheep         | 0.380 | cow          | 0.446 | elephant       | 0.495 |
| bear          | 0.559 | zebra        | 0.557 | giraffe        | 0.598 |
| backpack      | 0.103 | umbrella     | 0.276 | handbag        | 0.094 |
| tie           | 0.225 | suitcase     | 0.234 | frisbee        | 0.541 |
| skis          | 0.133 | snowboard    | 0.242 | sports ball    | 0.384 |
| kite          | 0.307 | baseball bat | 0.201 | baseball glove | 0.284 |
| skateboard    | 0.399 | surfboard    | 0.250 | tennis racket  | 0.362 |
| bottle        | 0.321 | wine glass   | 0.268 | cup            | 0.350 |
| fork          | 0.199 | knife        | 0.107 | spoon          | 0.085 |
| bowl          | 0.351 | banana       | 0.157 | apple          | 0.107 |
| sandwich      | 0.249 | orange       | 0.237 | broccoli       | 0.168 |
| carrot        | 0.110 | hot dog      | 0.165 | pizza          | 0.410 |
| donut         | 0.314 | cake         | 0.241 | chair          | 0.173 |
| couch         | 0.336 | potted plant | 0.185 | bed            | 0.337 |
| dining table  | 0.201 | toilet       | 0.482 | tv             | 0.475 |
| laptop        | 0.480 | mouse        | 0.527 | remote         | 0.195 |
| keyboard      | 0.414 | cell phone   | 0.252 | microwave      | 0.435 |
| oven          | 0.246 | toaster      | 0.246 | sink           | 0.285 |
| refrigerator  | 0.385 | book         | 0.062 | clock          | 0.409 |
| vase          | 0.289 | scissors     | 0.194 | teddy bear     | 0.335 |
| hair drier    | 0.001 | toothbrush   | 0.104 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 09:56:21,723 - mmdet - INFO - Evaluating bbox...
2021-11-01 09:57:34,036 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.482 | bicycle      | 0.245 | car            | 0.400 |
| motorcycle    | 0.366 | airplane     | 0.550 | bus            | 0.568 |
| train         | 0.556 | truck        | 0.283 | boat           | 0.224 |
| traffic light | 0.246 | fire hydrant | 0.603 | stop sign      | 0.602 |
| parking meter | 0.463 | bench        | 0.185 | bird           | 0.297 |
| cat           | 0.570 | dog          | 0.520 | horse          | 0.511 |
| sheep         | 0.417 | cow          | 0.503 | elephant       | 0.551 |
| bear          | 0.618 | zebra        | 0.590 | giraffe        | 0.618 |
| backpack      | 0.116 | umbrella     | 0.294 | handbag        | 0.104 |
| tie           | 0.255 | suitcase     | 0.257 | frisbee        | 0.590 |
| skis          | 0.160 | snowboard    | 0.277 | sports ball    | 0.406 |
| kite          | 0.350 | baseball bat | 0.217 | baseball glove | 0.319 |
| skateboard    | 0.429 | surfboard    | 0.292 | tennis racket  | 0.386 |
| bottle        | 0.337 | wine glass   | 0.294 | cup            | 0.364 |
| fork          | 0.232 | knife        | 0.124 | spoon          | 0.111 |
| bowl          | 0.381 | banana       | 0.188 | apple          | 0.144 |
| sandwich      | 0.280 | orange       | 0.266 | broccoli       | 0.191 |
| carrot        | 0.137 | hot dog      | 0.207 | pizza          | 0.441 |
| donut         | 0.352 | cake         | 0.275 | chair          | 0.203 |
| couch         | 0.353 | potted plant | 0.196 | bed            | 0.361 |
| dining table  | 0.197 | toilet       | 0.531 | tv             | 0.509 |
| laptop        | 0.514 | mouse        | 0.550 | remote         | 0.220 |
| keyboard      | 0.419 | cell phone   | 0.289 | microwave      | 0.470 |
| oven          | 0.283 | toaster      | 0.349 | sink           | 0.300 |
| refrigerator  | 0.436 | book         | 0.077 | clock          | 0.457 |
| vase          | 0.334 | scissors     | 0.236 | teddy bear     | 0.358 |
| hair drier    | 0.002 | toothbrush   | 0.150 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-01 09:59:02,195 - mmdet - INFO - Exp name: labelmatch_0.9_1_10_8.py
2021-11-01 09:59:02,196 - mmdet - INFO - Iter [40000/40000]	lr: 2.000e-02, eta: 0:00:00, time: 1.710, data_time: 0.029, memory: 26490, bbox_mAP: 0.3440, bbox_mAP_50: 0.5470, bbox_mAP_75: 0.3710, bbox_mAP_s: 0.2020, bbox_mAP_m: 0.3760, bbox_mAP_l: 0.4440, bbox_mAP_copypaste: 0.344 0.547 0.371 0.202 0.376 0.444, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0459, loss_cls: 0.1956, acc: 93.0597, loss_bbox: 0.2446, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1904, acc_unlabeled: 92.6877, loss_bbox_unlabeled: 0.1917, losses_cls_ig_unlabeled: 0.1792, pseudo_num: 1.4898, pseudo_num_ig: 5.6809, pseudo_num_mining: 1.1659, pseudo_num(acc): 0.8913, pseudo_num ig(acc): 0.4949, loss: 1.2547