labelmatch_1_1_40k.log

2021-11-06 10:02:30,612 - 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: 4.5.1
MMCV: 1.2.7
MMCV Compiler: GCC 5.4
MMCV CUDA Compiler: 10.1
MMDetection: 2.10.0+unknown
------------------------------------------------------------

2021-11-06 10:02:33,544 - mmdet - INFO - Distributed training: True
2021-11-06 10:02:36,540 - mmdet - INFO - Config:
seed = 1
percent = 1
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='SemiDataset',
        ann_file=
        './dataset/coco/annotations/semi_supervised/instances_train2017.1@1.json',
        ann_file_u=
        './dataset/coco/annotations/semi_supervised/instances_train2017.1@1-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@1.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@1-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@1.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@1-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@1.pth'
workflow = [('train', 1)]
model = dict(
    type='LabelMatch',
    ema_config='./configs/baseline/baseline_base.py',
    ema_ckpt='./pretrained_model/baseline/instances_train2017.1@1.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_1_8'
gpu_ids = range(0, 8)

2021-11-06 10:02:36,864 - mmdet - INFO - load model from: ./pretrained_model/backbone/resnet50-19c8e357.pth
2021-11-06 10:02:36,865 - mmdet - INFO - Use load_from_local loader
2021-11-06 10:02:37,083 - mmdet - WARNING - The model and loaded state dict do not match exactly

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

2021-11-06 10:02:38,087 - mmdet - INFO - load model from: ./pretrained_model/backbone/resnet50-19c8e357.pth
2021-11-06 10:02:38,088 - mmdet - INFO - Use load_from_local loader
2021-11-06 10:02:38,288 - mmdet - WARNING - The model and loaded state dict do not match exactly

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

2021-11-06 10:02:59,961 - mmdet - INFO - Loading 117113 images, cost 0.12347626686096191
2021-11-06 10:03:00,076 - mmdet - INFO - boxes per image (label data): 7.6022146507666095
2021-11-06 10:03:00,076 - mmdet - INFO - class ratio (label data): (0.3060-person) (0.0091-bicycle) (0.0478-car) (0.0089-motorcycle) (0.0039-airplane) (0.0063-bus) (0.0056-train) (0.0108-truck) (0.0131-boat) (0.0176-traffic light) (0.0021-fire hydrant) (0.0025-stop sign) (0.0018-parking meter) (0.0105-bench) (0.0092-bird) (0.0054-cat) (0.0053-dog) (0.0076-horse) (0.0057-sheep) (0.0119-cow) (0.0050-elephant) (0.0016-bear) (0.0080-zebra) (0.0068-giraffe) (0.0099-backpack) (0.0132-umbrella) (0.0157-handbag) (0.0072-tie) (0.0082-suitcase) (0.0031-frisbee) (0.0077-skis) (0.0024-snowboard) (0.0075-sports ball) (0.0120-kite) (0.0038-baseball bat) (0.0047-baseball glove) (0.0058-skateboard) (0.0067-surfboard) (0.0038-tennis racket) (0.0278-bottle) (0.0080-wine glass) (0.0283-cup) (0.0040-fork) (0.0106-knife) (0.0085-spoon) (0.0238-bowl) (0.0117-banana) (0.0087-apple) (0.0046-sandwich) (0.0038-orange) (0.0078-broccoli) (0.0092-carrot) (0.0011-hot dog) (0.0065-pizza) (0.0089-donut) (0.0066-cake) (0.0537-chair) (0.0063-couch) (0.0110-potted plant) (0.0046-bed) (0.0180-dining table) (0.0047-toilet) (0.0067-tv) (0.0050-laptop) (0.0016-mouse) (0.0058-remote) (0.0032-keyboard) (0.0085-cell phone) (0.0022-microwave) (0.0052-oven) (0.0002-toaster) (0.0067-sink) (0.0029-refrigerator) (0.0283-book) (0.0064-clock) (0.0067-vase) (0.0021-scissors) (0.0031-teddy bear) (0.0001-hair drier) (0.0027-toothbrush)
2021-11-06 10:03:00,076 - mmdet - INFO - load checkpoint from ./pretrained_model/baseline/instances_train2017.1@1.pth
2021-11-06 10:03:00,077 - mmdet - INFO - Use load_from_local loader
2021-11-06 10:03:00,932 - mmdet - INFO - Start running, host: root@train-hz-v100-0, work_dir: /data1/mmdet_ssod/work_dirs/labelmatch_0.9_1_1_8
2021-11-06 10:03:00,932 - mmdet - INFO - workflow: [('train', 1)], max: 40000 iters
2021-11-06 10:05:28,703 - mmdet - INFO - current percent: 0.2
2021-11-06 10:05:28,703 - mmdet - INFO - update score thr (positive): (1.00-person) (0.94-bicycle) (0.97-car) (0.96-motorcycle) (0.98-airplane) (0.97-bus) (0.98-train) (0.94-truck) (0.62-boat) (0.87-traffic light) (0.88-fire hydrant) (1.00-stop sign) (0.30-parking meter) (0.68-bench) (0.77-bird) (0.97-cat) (0.90-dog) (0.95-horse) (0.92-sheep) (0.87-cow) (1.00-elephant) (0.94-bear) (1.00-zebra) (1.00-giraffe) (0.62-backpack) (0.92-umbrella) (0.48-handbag) (0.70-tie) (0.65-suitcase) (0.95-frisbee) (0.73-skis) (0.45-snowboard) (0.97-sports ball) (0.96-kite) (0.90-baseball bat) (0.63-baseball glove) (0.88-skateboard) (0.83-surfboard) (0.99-tennis racket) (0.92-bottle) (0.83-wine glass) (0.89-cup) (0.19-fork) (0.36-knife) (0.24-spoon) (0.92-bowl) (0.81-banana) (0.53-apple) (0.57-sandwich) (0.95-orange) (0.89-broccoli) (0.79-carrot) (0.41-hot dog) (0.94-pizza) (0.58-donut) (0.54-cake) (0.61-chair) (0.82-couch) (0.81-potted plant) (0.93-bed) (0.89-dining table) (0.99-toilet) (0.98-tv) (0.93-laptop) (0.95-mouse) (0.55-remote) (0.96-keyboard) (0.73-cell phone) (0.87-microwave) (0.83-oven) (0.05-toaster) (0.86-sink) (0.74-refrigerator) (0.62-book) (1.00-clock) (0.82-vase) (0.59-scissors) (0.94-teddy bear) (0.05-hair drier) (0.18-toothbrush)
2021-11-06 10:05:28,704 - mmdet - INFO - update score thr (ignore): (0.46-person) (0.31-bicycle) (0.25-car) (0.36-motorcycle) (0.67-airplane) (0.42-bus) (0.31-train) (0.48-truck) (0.12-boat) (0.14-traffic light) (0.36-fire hydrant) (0.41-stop sign) (0.11-parking meter) (0.17-bench) (0.17-bird) (0.38-cat) (0.46-dog) (0.32-horse) (0.39-sheep) (0.25-cow) (0.64-elephant) (0.48-bear) (0.13-zebra) (0.26-giraffe) (0.18-backpack) (0.25-umbrella) (0.16-handbag) (0.08-tie) (0.16-suitcase) (0.22-frisbee) (0.21-skis) (0.21-snowboard) (0.11-sports ball) (0.26-kite) (0.22-baseball bat) (0.11-baseball glove) (0.25-skateboard) (0.21-surfboard) (0.12-tennis racket) (0.16-bottle) (0.12-wine glass) (0.10-cup) (0.05-fork) (0.09-knife) (0.06-spoon) (0.20-bowl) (0.21-banana) (0.13-apple) (0.23-sandwich) (0.63-orange) (0.12-broccoli) (0.12-carrot) (0.27-hot dog) (0.40-pizza) (0.10-donut) (0.15-cake) (0.10-chair) (0.38-couch) (0.15-potted plant) (0.53-bed) (0.41-dining table) (0.52-toilet) (0.39-tv) (0.25-laptop) (0.34-mouse) (0.11-remote) (0.32-keyboard) (0.14-cell phone) (0.33-microwave) (0.33-oven) (0.05-toaster) (0.22-sink) (0.30-refrigerator) (0.23-book) (0.29-clock) (0.26-vase) (0.12-scissors) (0.44-teddy bear) (0.05-hair drier) (0.06-toothbrush)
2021-11-06 10:06:53,372 - mmdet - INFO - Iter [50/40000]	lr: 1.978e-03, eta: 1 day, 13:29:45, time: 3.379, data_time: 0.022, memory: 25205, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0563, loss_cls: 0.2413, acc: 92.3962, loss_bbox: 0.2863, loss_rpn_cls_unlabeled: 0.2926, loss_rpn_bbox_unlabeled: 0.1379, loss_cls_unlabeled: 0.2746, acc_unlabeled: 90.3475, loss_bbox_unlabeled: 0.1740, losses_cls_ig_unlabeled: 0.1843, pseudo_num: 1.5418, pseudo_num_ig: 6.0568, pseudo_num_mining: 0.3633, pseudo_num(acc): 0.7342, pseudo_num ig(acc): 0.3297, loss: 1.7034
2021-11-06 10:08:17,590 - mmdet - INFO - Iter [100/40000]	lr: 3.976e-03, eta: 1 day, 4:02:33, time: 1.681, data_time: 0.028, memory: 25205, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0542, loss_cls: 0.2161, acc: 92.6062, loss_bbox: 0.2848, loss_rpn_cls_unlabeled: 0.1599, loss_rpn_bbox_unlabeled: 0.1323, loss_cls_unlabeled: 0.2514, acc_unlabeled: 90.0737, loss_bbox_unlabeled: 0.1839, losses_cls_ig_unlabeled: 0.1703, pseudo_num: 1.5271, pseudo_num_ig: 6.2707, pseudo_num_mining: 0.3876, pseudo_num(acc): 0.7076, pseudo_num ig(acc): 0.3199, loss: 1.4893
2021-11-06 10:09:42,821 - mmdet - INFO - Iter [150/40000]	lr: 5.974e-03, eta: 1 day, 0:57:38, time: 1.704, data_time: 0.029, memory: 25205, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0546, loss_cls: 0.2218, acc: 92.3038, loss_bbox: 0.2960, loss_rpn_cls_unlabeled: 0.1554, loss_rpn_bbox_unlabeled: 0.1405, loss_cls_unlabeled: 0.2552, acc_unlabeled: 89.3837, loss_bbox_unlabeled: 0.1871, losses_cls_ig_unlabeled: 0.1779, pseudo_num: 1.5502, pseudo_num_ig: 6.5496, pseudo_num_mining: 0.3848, pseudo_num(acc): 0.6883, pseudo_num ig(acc): 0.3152, loss: 1.5270
2021-11-06 10:11:08,455 - mmdet - INFO - Iter [200/40000]	lr: 7.972e-03, eta: 23:26:24, time: 1.716, data_time: 0.029, memory: 25205, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0546, loss_cls: 0.2196, acc: 92.2850, loss_bbox: 0.2932, loss_rpn_cls_unlabeled: 0.1567, loss_rpn_bbox_unlabeled: 0.1464, loss_cls_unlabeled: 0.2593, acc_unlabeled: 88.7716, loss_bbox_unlabeled: 0.1931, losses_cls_ig_unlabeled: 0.1852, pseudo_num: 1.5626, pseudo_num_ig: 6.8144, pseudo_num_mining: 0.3848, pseudo_num(acc): 0.6763, pseudo_num ig(acc): 0.3111, loss: 1.5453
2021-11-06 10:12:34,453 - mmdet - INFO - Iter [250/40000]	lr: 9.970e-03, eta: 22:31:34, time: 1.720, data_time: 0.026, memory: 25205, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0575, loss_cls: 0.2298, acc: 92.0588, loss_bbox: 0.3025, loss_rpn_cls_unlabeled: 0.1737, loss_rpn_bbox_unlabeled: 0.1537, loss_cls_unlabeled: 0.2525, acc_unlabeled: 88.8264, loss_bbox_unlabeled: 0.1929, losses_cls_ig_unlabeled: 0.1854, pseudo_num: 1.5763, pseudo_num_ig: 7.0552, pseudo_num_mining: 0.3852, pseudo_num(acc): 0.6698, pseudo_num ig(acc): 0.3051, loss: 1.5901
2021-11-06 10:13:59,644 - mmdet - INFO - Iter [300/40000]	lr: 1.197e-02, eta: 21:52:26, time: 1.701, data_time: 0.026, memory: 26180, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0561, loss_cls: 0.2236, acc: 92.1494, loss_bbox: 0.2956, loss_rpn_cls_unlabeled: 0.1612, loss_rpn_bbox_unlabeled: 0.1580, loss_cls_unlabeled: 0.2557, acc_unlabeled: 88.1436, loss_bbox_unlabeled: 0.1878, losses_cls_ig_unlabeled: 0.1994, pseudo_num: 1.5725, pseudo_num_ig: 7.3013, pseudo_num_mining: 0.3938, pseudo_num(acc): 0.6650, pseudo_num ig(acc): 0.3017, loss: 1.5771
2021-11-06 10:15:24,533 - mmdet - INFO - Iter [350/40000]	lr: 1.397e-02, eta: 21:24:07, time: 1.701, data_time: 0.029, memory: 26180, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0601, loss_cls: 0.2488, acc: 91.5524, loss_bbox: 0.3061, loss_rpn_cls_unlabeled: 0.1736, loss_rpn_bbox_unlabeled: 0.1640, loss_cls_unlabeled: 0.2759, acc_unlabeled: 87.7656, loss_bbox_unlabeled: 0.2066, losses_cls_ig_unlabeled: 0.2038, pseudo_num: 1.5794, pseudo_num_ig: 7.5120, pseudo_num_mining: 0.4031, pseudo_num(acc): 0.6591, pseudo_num ig(acc): 0.2990, loss: 1.6830
2021-11-06 10:16:56,601 - mmdet - INFO - Iter [400/40000]	lr: 1.596e-02, eta: 21:13:58, time: 1.840, data_time: 0.026, memory: 26180, loss_rpn_cls: 0.0429, loss_rpn_bbox: 0.0594, loss_cls: 0.2355, acc: 91.8535, loss_bbox: 0.3030, loss_rpn_cls_unlabeled: 0.1783, loss_rpn_bbox_unlabeled: 0.1723, loss_cls_unlabeled: 0.2683, acc_unlabeled: 87.8468, loss_bbox_unlabeled: 0.2036, losses_cls_ig_unlabeled: 0.1991, pseudo_num: 1.5851, pseudo_num_ig: 7.7057, pseudo_num_mining: 0.4101, pseudo_num(acc): 0.6541, pseudo_num ig(acc): 0.2972, loss: 1.6625
2021-11-06 10:18:21,838 - mmdet - INFO - Iter [450/40000]	lr: 1.796e-02, eta: 20:55:56, time: 1.706, data_time: 0.028, memory: 26180, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0606, loss_cls: 0.2642, acc: 91.3187, loss_bbox: 0.3141, loss_rpn_cls_unlabeled: 0.1790, loss_rpn_bbox_unlabeled: 0.1735, loss_cls_unlabeled: 0.2859, acc_unlabeled: 87.2322, loss_bbox_unlabeled: 0.2001, losses_cls_ig_unlabeled: 0.2159, pseudo_num: 1.5881, pseudo_num_ig: 7.8963, pseudo_num_mining: 0.4187, pseudo_num(acc): 0.6481, pseudo_num ig(acc): 0.2955, loss: 1.7423
2021-11-06 10:19:45,920 - mmdet - INFO - pseudo pos: 0.98(540.0-person) 0.68(19.0-bicycle) 0.90(126.0-car) 0.79(24.0-motorcycle) 1.00(16.0-airplane) 0.95(20.0-bus) 1.00(15.0-train) 0.63(27.0-truck) 0.41(78.0-boat) 0.67(57.0-traffic light) 1.00(8.0-fire hydrant) 1.00(12.0-stop sign) 0.20(5.0-parking meter) 0.32(34.0-bench) 0.77(22.0-bird) 0.86(28.0-cat) 0.87(32.0-dog) 0.91(32.0-horse) 0.94(17.0-sheep) 0.54(67.0-cow) 1.00(8.0-elephant) 1.00(1.0-bear) 1.00(23.0-zebra) 1.00(21.0-giraffe) 0.31(32.0-backpack) 0.75(32.0-umbrella) 0.29(75.0-handbag) 0.58(55.0-tie) 0.35(23.0-suitcase) 0.86(7.0-frisbee) 0.31(36.0-skis) 0.33(3.0-snowboard) 1.00(25.0-sports ball) 0.64(33.0-kite) 0.75(12.0-baseball bat) 0.53(30.0-baseball glove) 0.67(18.0-skateboard) 0.77(30.0-surfboard) 0.91(11.0-tennis racket) 0.80(54.0-bottle) 0.56(16.0-wine glass) 0.68(103.0-cup) 0.15(33.0-fork) 0.14(58.0-knife) 0.07(30.0-spoon) 0.80(35.0-bowl) 0.38(42.0-banana) 0.48(48.0-apple) 0.49(45.0-sandwich) 0.83(6.0-orange) 0.48(31.0-broccoli) 0.47(34.0-carrot) 0.00(1.0-hot dog) 0.93(27.0-pizza) 0.19(36.0-donut) 0.39(31.0-cake) 0.38(291.0-chair) 0.48(42.0-couch) 0.44(48.0-potted plant) 0.69(16.0-bed) 0.73(63.0-dining table) 0.92(12.0-toilet) 0.75(20.0-tv) 0.79(28.0-laptop) 1.00(5.0-mouse) 0.46(28.0-remote) 0.82(11.0-keyboard) 0.53(32.0-cell phone) 1.00(7.0-microwave) 0.39(18.0-oven) 0.00(0.0-toaster) 0.73(30.0-sink) 0.47(17.0-refrigerator) 0.19(123.0-book) 1.00(13.0-clock) 0.67(39.0-vase) 0.00(0.0-scissors) 1.00(15.0-teddy bear) 0.00(0.0-hair drier) 0.12(8.0-toothbrush)
2021-11-06 10:19:45,921 - mmdet - INFO - pseudo ig: 0.59(3683.0-person) 0.26(81.0-bicycle) 0.33(757.0-car) 0.54(150.0-motorcycle) 0.61(38.0-airplane) 0.54(87.0-bus) 0.36(89.0-train) 0.32(114.0-truck) 0.11(349.0-boat) 0.14(366.0-traffic light) 0.40(15.0-fire hydrant) 0.36(44.0-stop sign) 0.09(23.0-parking meter) 0.10(181.0-bench) 0.28(123.0-bird) 0.49(82.0-cat) 0.51(65.0-dog) 0.27(108.0-horse) 0.49(81.0-sheep) 0.17(216.0-cow) 0.78(41.0-elephant) 0.46(13.0-bear) 0.30(115.0-zebra) 0.69(74.0-giraffe) 0.16(151.0-backpack) 0.26(171.0-umbrella) 0.07(299.0-handbag) 0.13(230.0-tie) 0.08(110.0-suitcase) 0.19(52.0-frisbee) 0.13(163.0-skis) 0.31(16.0-snowboard) 0.18(112.0-sports ball) 0.18(200.0-kite) 0.26(54.0-baseball bat) 0.08(144.0-baseball glove) 0.21(85.0-skateboard) 0.20(144.0-surfboard) 0.43(81.0-tennis racket) 0.23(474.0-bottle) 0.18(107.0-wine glass) 0.19(482.0-cup) 0.05(79.0-fork) 0.03(230.0-knife) 0.01(202.0-spoon) 0.16(312.0-bowl) 0.14(189.0-banana) 0.10(140.0-apple) 0.20(85.0-sandwich) 0.48(31.0-orange) 0.18(162.0-broccoli) 0.08(242.0-carrot) 0.00(5.0-hot dog) 0.36(73.0-pizza) 0.12(208.0-donut) 0.11(102.0-cake) 0.11(1457.0-chair) 0.19(95.0-couch) 0.14(277.0-potted plant) 0.38(76.0-bed) 0.23(243.0-dining table) 0.47(57.0-toilet) 0.41(112.0-tv) 0.38(101.0-laptop) 0.33(15.0-mouse) 0.15(115.0-remote) 0.42(45.0-keyboard) 0.18(150.0-cell phone) 0.23(26.0-microwave) 0.15(73.0-oven) 0.00(0.0-toaster) 0.24(126.0-sink) 0.18(71.0-refrigerator) 0.21(594.0-book) 0.51(81.0-clock) 0.28(93.0-vase) 0.07(27.0-scissors) 0.34(59.0-teddy bear) 0.00(0.0-hair drier) 0.03(37.0-toothbrush)
2021-11-06 10:19:45,921 - mmdet - INFO - pseudo gt: 4272.0 92.0 655.0 167.0 74.0 115.0 71.0 171.0 208.0 213.0 28.0 42.0 23.0 162.0 210.0 86.0 101.0 125.0 179.0 131.0 88.0 9.0 69.0 79.0 160.0 171.0 188.0 110.0 99.0 37.0 104.0 75.0 171.0 139.0 53.0 61.0 94.0 118.0 83.0 368.0 94.0 308.0 82.0 102.0 69.0 158.0 145.0 97.0 69.0 86.0 96.0 138.0 37.0 98.0 86.0 86.0 646.0 103.0 157.0 73.0 257.0 62.0 104.0 106.0 37.0 104.0 55.0 121.0 28.0 43.0 3.0 99.0 50.0 507.0 87.0 127.0 18.0 95.0 9.0 27.0
2021-11-06 10:19:45,921 - mmdet - INFO - pseudo mining: 648.0 0.0 21.0 2.0 1.0 1.0 2.0 1.0 0.0 6.0 0.0 5.0 0.0 0.0 0.0 3.0 0.0 0.0 2.0 1.0 11.0 0.0 7.0 8.0 0.0 7.0 0.0 1.0 0.0 0.0 0.0 0.0 4.0 10.0 0.0 0.0 0.0 0.0 4.0 10.0 0.0 3.0 0.0 0.0 0.0 2.0 1.0 0.0 0.0 3.0 0.0 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 3.0 3.0 11.0 0.0 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 14.0 0.0 0.0 0.0 0.0 0.0
2021-11-06 10:19:47,356 - mmdet - INFO - Iter [500/40000]	lr: 1.996e-02, eta: 20:41:30, time: 1.710, data_time: 0.030, memory: 26180, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0599, loss_cls: 0.2643, acc: 91.2589, loss_bbox: 0.3140, loss_rpn_cls_unlabeled: 0.1930, loss_rpn_bbox_unlabeled: 0.1870, loss_cls_unlabeled: 0.2882, acc_unlabeled: 87.2719, loss_bbox_unlabeled: 0.2099, losses_cls_ig_unlabeled: 0.2129, pseudo_num: 1.5913, pseudo_num_ig: 8.0863, pseudo_num_mining: 0.4282, pseudo_num(acc): 0.6419, pseudo_num ig(acc): 0.2933, loss: 1.7783
2021-11-06 10:21:12,465 - mmdet - INFO - Iter [550/40000]	lr: 2.000e-02, eta: 20:28:49, time: 1.700, data_time: 0.027, memory: 26180, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0617, loss_cls: 0.2674, acc: 91.1021, loss_bbox: 0.3219, loss_rpn_cls_unlabeled: 0.1854, loss_rpn_bbox_unlabeled: 0.1804, loss_cls_unlabeled: 0.2839, acc_unlabeled: 87.1071, loss_bbox_unlabeled: 0.2035, losses_cls_ig_unlabeled: 0.2161, pseudo_num: 1.5938, pseudo_num_ig: 8.2758, pseudo_num_mining: 0.4383, pseudo_num(acc): 0.6367, pseudo_num ig(acc): 0.2910, loss: 1.7704
2021-11-06 10:22:38,580 - mmdet - INFO - Iter [600/40000]	lr: 2.000e-02, eta: 20:19:18, time: 1.723, data_time: 0.029, memory: 26180, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0598, loss_cls: 0.2615, acc: 91.2939, loss_bbox: 0.3106, loss_rpn_cls_unlabeled: 0.1903, loss_rpn_bbox_unlabeled: 0.1941, loss_cls_unlabeled: 0.2900, acc_unlabeled: 86.7355, loss_bbox_unlabeled: 0.2142, losses_cls_ig_unlabeled: 0.2203, pseudo_num: 1.5998, pseudo_num_ig: 8.4871, pseudo_num_mining: 0.4477, pseudo_num(acc): 0.6300, pseudo_num ig(acc): 0.2881, loss: 1.7898
2021-11-06 10:24:05,697 - mmdet - INFO - Iter [650/40000]	lr: 2.000e-02, eta: 20:11:56, time: 1.742, data_time: 0.029, memory: 26180, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0603, loss_cls: 0.2633, acc: 91.2074, loss_bbox: 0.3130, loss_rpn_cls_unlabeled: 0.1922, loss_rpn_bbox_unlabeled: 0.1990, loss_cls_unlabeled: 0.3019, acc_unlabeled: 86.5161, loss_bbox_unlabeled: 0.2288, losses_cls_ig_unlabeled: 0.2202, pseudo_num: 1.6159, pseudo_num_ig: 8.6937, pseudo_num_mining: 0.4561, pseudo_num(acc): 0.6224, pseudo_num ig(acc): 0.2853, loss: 1.8295
2021-11-06 10:25:32,400 - mmdet - INFO - Iter [700/40000]	lr: 2.000e-02, eta: 20:05:02, time: 1.733, data_time: 0.028, memory: 26180, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0604, loss_cls: 0.2688, acc: 91.1622, loss_bbox: 0.3132, loss_rpn_cls_unlabeled: 0.2031, loss_rpn_bbox_unlabeled: 0.2037, loss_cls_unlabeled: 0.3132, acc_unlabeled: 86.2643, loss_bbox_unlabeled: 0.2362, losses_cls_ig_unlabeled: 0.2212, pseudo_num: 1.6326, pseudo_num_ig: 8.9173, pseudo_num_mining: 0.4648, pseudo_num(acc): 0.6149, pseudo_num ig(acc): 0.2815, loss: 1.8701
2021-11-06 10:27:00,093 - mmdet - INFO - Iter [750/40000]	lr: 2.000e-02, eta: 19:59:39, time: 1.752, data_time: 0.030, memory: 26180, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0609, loss_cls: 0.2647, acc: 91.1827, loss_bbox: 0.3139, loss_rpn_cls_unlabeled: 0.1912, loss_rpn_bbox_unlabeled: 0.2020, loss_cls_unlabeled: 0.3091, acc_unlabeled: 86.1565, loss_bbox_unlabeled: 0.2321, losses_cls_ig_unlabeled: 0.2276, pseudo_num: 1.6446, pseudo_num_ig: 9.1192, pseudo_num_mining: 0.4742, pseudo_num(acc): 0.6085, pseudo_num ig(acc): 0.2790, loss: 1.8525
2021-11-06 10:28:26,566 - mmdet - INFO - Iter [800/40000]	lr: 2.000e-02, eta: 19:53:58, time: 1.732, data_time: 0.032, memory: 26180, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0607, loss_cls: 0.2609, acc: 91.1575, loss_bbox: 0.3140, loss_rpn_cls_unlabeled: 0.1982, loss_rpn_bbox_unlabeled: 0.2109, loss_cls_unlabeled: 0.3009, acc_unlabeled: 85.8339, loss_bbox_unlabeled: 0.2323, losses_cls_ig_unlabeled: 0.2273, pseudo_num: 1.6519, pseudo_num_ig: 9.2953, pseudo_num_mining: 0.4813, pseudo_num(acc): 0.6029, pseudo_num ig(acc): 0.2767, loss: 1.8572
2021-11-06 10:29:51,967 - mmdet - INFO - Iter [850/40000]	lr: 2.000e-02, eta: 19:47:53, time: 1.709, data_time: 0.028, memory: 26180, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0600, loss_cls: 0.2511, acc: 91.4491, loss_bbox: 0.3111, loss_rpn_cls_unlabeled: 0.1940, loss_rpn_bbox_unlabeled: 0.2141, loss_cls_unlabeled: 0.3227, acc_unlabeled: 85.8561, loss_bbox_unlabeled: 0.2543, losses_cls_ig_unlabeled: 0.2155, pseudo_num: 1.6738, pseudo_num_ig: 9.4916, pseudo_num_mining: 0.4899, pseudo_num(acc): 0.5942, pseudo_num ig(acc): 0.2743, loss: 1.8719
2021-11-06 10:31:17,287 - mmdet - INFO - Iter [900/40000]	lr: 2.000e-02, eta: 19:42:06, time: 1.703, data_time: 0.028, memory: 26180, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0592, loss_cls: 0.2522, acc: 91.4119, loss_bbox: 0.3108, loss_rpn_cls_unlabeled: 0.1964, loss_rpn_bbox_unlabeled: 0.2068, loss_cls_unlabeled: 0.3135, acc_unlabeled: 86.1044, loss_bbox_unlabeled: 0.2523, losses_cls_ig_unlabeled: 0.2168, pseudo_num: 1.6946, pseudo_num_ig: 9.6632, pseudo_num_mining: 0.4970, pseudo_num(acc): 0.5875, pseudo_num ig(acc): 0.2716, loss: 1.8568
2021-11-06 10:32:42,501 - mmdet - INFO - Iter [950/40000]	lr: 2.000e-02, eta: 19:36:58, time: 1.708, data_time: 0.031, memory: 26180, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0595, loss_cls: 0.2577, acc: 91.2156, loss_bbox: 0.3149, loss_rpn_cls_unlabeled: 0.1928, loss_rpn_bbox_unlabeled: 0.2045, loss_cls_unlabeled: 0.3135, acc_unlabeled: 86.1781, loss_bbox_unlabeled: 0.2519, losses_cls_ig_unlabeled: 0.2185, pseudo_num: 1.7132, pseudo_num_ig: 9.7927, pseudo_num_mining: 0.5038, pseudo_num(acc): 0.5815, pseudo_num ig(acc): 0.2697, loss: 1.8638
2021-11-06 10:34:08,209 - mmdet - INFO - pseudo pos: 0.98(700.0-person) 0.81(53.0-bicycle) 0.91(295.0-car) 0.88(58.0-motorcycle) 1.00(29.0-airplane) 0.96(51.0-bus) 1.00(31.0-train) 0.66(59.0-truck) 0.41(171.0-boat) 0.71(129.0-traffic light) 1.00(22.0-fire hydrant) 1.00(21.0-stop sign) 0.36(14.0-parking meter) 0.30(99.0-bench) 0.70(54.0-bird) 0.87(56.0-cat) 0.86(50.0-dog) 0.90(59.0-horse) 0.90(49.0-sheep) 0.61(130.0-cow) 1.00(24.0-elephant) 1.00(1.0-bear) 1.00(26.0-zebra) 1.00(32.0-giraffe) 0.26(74.0-backpack) 0.71(99.0-umbrella) 0.33(155.0-handbag) 0.55(94.0-tie) 0.40(70.0-suitcase) 0.91(22.0-frisbee) 0.41(81.0-skis) 0.33(3.0-snowboard) 0.98(50.0-sports ball) 0.68(47.0-kite) 0.85(20.0-baseball bat) 0.34(96.0-baseball glove) 0.71(51.0-skateboard) 0.70(71.0-surfboard) 0.94(31.0-tennis racket) 0.80(112.0-bottle) 0.72(39.0-wine glass) 0.71(204.0-cup) 0.19(144.0-fork) 0.17(176.0-knife) 0.09(120.0-spoon) 0.82(98.0-bowl) 0.43(103.0-banana) 0.23(194.0-apple) 0.29(135.0-sandwich) 0.83(6.0-orange) 0.57(69.0-broccoli) 0.45(62.0-carrot) 0.00(1.0-hot dog) 0.85(52.0-pizza) 0.21(68.0-donut) 0.43(70.0-cake) 0.39(699.0-chair) 0.47(66.0-couch) 0.44(105.0-potted plant) 0.77(26.0-bed) 0.66(142.0-dining table) 0.95(21.0-toilet) 0.87(40.0-tv) 0.88(52.0-laptop) 1.00(7.0-mouse) 0.39(62.0-remote) 0.82(17.0-keyboard) 0.53(74.0-cell phone) 0.93(15.0-microwave) 0.49(45.0-oven) 0.00(0.0-toaster) 0.70(60.0-sink) 0.56(34.0-refrigerator) 0.17(275.0-book) 1.00(15.0-clock) 0.63(67.0-vase) 0.20(5.0-scissors) 0.98(42.0-teddy bear) 0.00(0.0-hair drier) 0.11(106.0-toothbrush)
2021-11-06 10:34:08,209 - mmdet - INFO - pseudo ig: 0.63(7925.0-person) 0.24(227.0-bicycle) 0.34(1865.0-car) 0.41(307.0-motorcycle) 0.60(82.0-airplane) 0.47(207.0-bus) 0.34(213.0-train) 0.34(267.0-truck) 0.13(780.0-boat) 0.11(1034.0-traffic light) 0.41(32.0-fire hydrant) 0.29(121.0-stop sign) 0.05(57.0-parking meter) 0.12(512.0-bench) 0.28(226.0-bird) 0.48(170.0-cat) 0.47(116.0-dog) 0.30(233.0-horse) 0.41(215.0-sheep) 0.16(532.0-cow) 0.69(118.0-elephant) 0.54(26.0-bear) 0.33(305.0-zebra) 0.64(182.0-giraffe) 0.15(379.0-backpack) 0.23(473.0-umbrella) 0.06(655.0-handbag) 0.10(621.0-tie) 0.10(288.0-suitcase) 0.19(157.0-frisbee) 0.14(379.0-skis) 0.28(18.0-snowboard) 0.16(314.0-sports ball) 0.19(408.0-kite) 0.21(129.0-baseball bat) 0.05(493.0-baseball glove) 0.21(243.0-skateboard) 0.22(294.0-surfboard) 0.35(244.0-tennis racket) 0.21(1056.0-bottle) 0.20(283.0-wine glass) 0.18(1273.0-cup) 0.06(417.0-fork) 0.04(755.0-knife) 0.03(658.0-spoon) 0.18(818.0-bowl) 0.13(472.0-banana) 0.04(572.0-apple) 0.13(273.0-sandwich) 0.54(41.0-orange) 0.18(548.0-broccoli) 0.09(693.0-carrot) 0.00(5.0-hot dog) 0.32(199.0-pizza) 0.10(548.0-donut) 0.12(258.0-cake) 0.11(3978.0-chair) 0.18(216.0-couch) 0.12(723.0-potted plant) 0.40(127.0-bed) 0.20(525.0-dining table) 0.51(114.0-toilet) 0.36(250.0-tv) 0.27(219.0-laptop) 0.34(29.0-mouse) 0.11(333.0-remote) 0.36(90.0-keyboard) 0.13(409.0-cell phone) 0.22(67.0-microwave) 0.12(186.0-oven) 0.00(0.0-toaster) 0.22(264.0-sink) 0.14(146.0-refrigerator) 0.16(1331.0-book) 0.44(265.0-clock) 0.26(210.0-vase) 0.08(71.0-scissors) 0.38(122.0-teddy bear) 0.00(0.0-hair drier) 0.04(219.0-toothbrush)
2021-11-06 10:34:08,209 - mmdet - INFO - pseudo gt: 8708.0 224.0 1494.0 291.0 171.0 212.0 142.0 369.0 372.0 428.0 70.0 87.0 37.0 358.0 394.0 166.0 186.0 242.0 341.0 267.0 193.0 25.0 147.0 155.0 329.0 408.0 413.0 191.0 209.0 96.0 198.0 107.0 274.0 259.0 102.0 106.0 179.0 242.0 202.0 724.0 217.0 682.0 171.0 247.0 191.0 416.0 343.0 161.0 141.0 229.0 228.0 288.0 66.0 215.0 148.0 176.0 1343.0 188.0 308.0 147.0 506.0 116.0 213.0 187.0 69.0 200.0 92.0 232.0 52.0 95.0 4.0 185.0 84.0 941.0 207.0 211.0 42.0 223.0 12.0 66.0
2021-11-06 10:34:08,209 - mmdet - INFO - pseudo mining: 1535.0 1.0 75.0 8.0 7.0 4.0 4.0 2.0 0.0 8.0 0.0 21.0 0.0 0.0 0.0 6.0 0.0 0.0 3.0 1.0 30.0 0.0 24.0 29.0 0.0 12.0 0.0 2.0 0.0 2.0 0.0 0.0 10.0 18.0 3.0 0.0 0.0 0.0 14.0 22.0 2.0 5.0 0.0 0.0 0.0 14.0 1.0 0.0 0.0 4.0 2.0 1.0 0.0 3.0 0.0 0.0 0.0 0.0 1.0 1.0 6.0 10.0 23.0 0.0 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 65.0 0.0 0.0 0.0 0.0 0.0
2021-11-06 10:35:33,940 - mmdet - INFO - current percent: 0.2
2021-11-06 10:35:33,941 - mmdet - INFO - update score thr (positive): (0.98-person) (0.94-bicycle) (0.96-car) (0.97-motorcycle) (0.98-airplane) (0.98-bus) (0.98-train) (0.88-truck) (0.93-boat) (0.94-traffic light) (0.99-fire hydrant) (1.00-stop sign) (0.47-parking meter) (0.87-bench) (0.88-bird) (0.98-cat) (0.94-dog) (0.94-horse) (0.95-sheep) (0.90-cow) (0.99-elephant) (0.93-bear) (0.99-zebra) (0.99-giraffe) (0.75-backpack) (0.96-umbrella) (0.68-handbag) (0.91-tie) (0.80-suitcase) (0.95-frisbee) (0.93-skis) (0.16-snowboard) (0.97-sports ball) (0.96-kite) (0.87-baseball bat) (0.96-baseball glove) (0.97-skateboard) (0.93-surfboard) (0.99-tennis racket) (0.95-bottle) (0.91-wine glass) (0.93-cup) (0.76-fork) (0.60-knife) (0.58-spoon) (0.91-bowl) (0.88-banana) (0.92-apple) (0.93-sandwich) (0.36-orange) (0.92-broccoli) (0.86-carrot) (0.05-hot dog) (0.97-pizza) (0.79-donut) (0.67-cake) (0.86-chair) (0.90-couch) (0.91-potted plant) (0.86-bed) (0.89-dining table) (0.99-toilet) (0.97-tv) (0.97-laptop) (0.83-mouse) (0.75-remote) (0.91-keyboard) (0.86-cell phone) (0.90-microwave) (0.93-oven) (0.05-toaster) (0.96-sink) (0.92-refrigerator) (0.82-book) (0.99-clock) (0.93-vase) (0.56-scissors) (0.99-teddy bear) (0.05-hair drier) (0.79-toothbrush)
2021-11-06 10:35:33,942 - mmdet - INFO - update score thr (ignore): (0.41-person) (0.48-bicycle) (0.44-car) (0.50-motorcycle) (0.75-airplane) (0.59-bus) (0.61-train) (0.44-truck) (0.47-boat) (0.48-traffic light) (0.46-fire hydrant) (0.89-stop sign) (0.18-parking meter) (0.44-bench) (0.26-bird) (0.65-cat) (0.51-dog) (0.40-horse) (0.65-sheep) (0.51-cow) (0.71-elephant) (0.47-bear) (0.33-zebra) (0.47-giraffe) (0.37-backpack) (0.55-umbrella) (0.30-handbag) (0.46-tie) (0.31-suitcase) (0.49-frisbee) (0.61-skis) (0.07-snowboard) (0.35-sports ball) (0.49-kite) (0.37-baseball bat) (0.72-baseball glove) (0.56-skateboard) (0.48-surfboard) (0.63-tennis racket) (0.42-bottle) (0.33-wine glass) (0.36-cup) (0.43-fork) (0.31-knife) (0.27-spoon) (0.40-bowl) (0.41-banana) (0.74-apple) (0.72-sandwich) (0.19-orange) (0.55-broccoli) (0.47-carrot) (0.05-hot dog) (0.65-pizza) (0.38-donut) (0.28-cake) (0.43-chair) (0.59-couch) (0.45-potted plant) (0.43-bed) (0.46-dining table) (0.71-toilet) (0.63-tv) (0.58-laptop) (0.31-mouse) (0.35-remote) (0.36-keyboard) (0.41-cell phone) (0.53-microwave) (0.64-oven) (0.05-toaster) (0.56-sink) (0.63-refrigerator) (0.48-book) (0.81-clock) (0.46-vase) (0.17-scissors) (0.76-teddy bear) (0.05-hair drier) (0.49-toothbrush)
2021-11-06 10:35:34,207 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 10:35:34,208 - mmdet - INFO - Iter [1000/40000]	lr: 2.000e-02, eta: 19:33:30, time: 1.748, data_time: 0.031, memory: 26180, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0616, loss_cls: 0.2644, acc: 91.1600, loss_bbox: 0.3139, loss_rpn_cls_unlabeled: 0.1972, loss_rpn_bbox_unlabeled: 0.2119, loss_cls_unlabeled: 0.3278, acc_unlabeled: 85.7328, loss_bbox_unlabeled: 0.2563, losses_cls_ig_unlabeled: 0.2226, pseudo_num: 1.7365, pseudo_num_ig: 9.9437, pseudo_num_mining: 0.5088, pseudo_num(acc): 0.5745, pseudo_num ig(acc): 0.2679, loss: 1.9089
2021-11-06 10:36:59,364 - mmdet - INFO - Iter [1050/40000]	lr: 2.000e-02, eta: 20:20:58, time: 3.390, data_time: 1.717, memory: 26180, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0573, loss_cls: 0.2411, acc: 91.6292, loss_bbox: 0.3059, loss_rpn_cls_unlabeled: 0.1261, loss_rpn_bbox_unlabeled: 0.1156, loss_cls_unlabeled: 0.2272, acc_unlabeled: 90.1559, loss_bbox_unlabeled: 0.1921, losses_cls_ig_unlabeled: 0.2054, pseudo_num: 1.7390, pseudo_num_ig: 9.8941, pseudo_num_mining: 0.5068, pseudo_num(acc): 0.5762, pseudo_num ig(acc): 0.2689, loss: 1.5139
2021-11-06 10:38:22,628 - mmdet - INFO - Iter [1100/40000]	lr: 2.000e-02, eta: 20:13:03, time: 1.665, data_time: 0.028, memory: 26180, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0555, loss_cls: 0.2352, acc: 91.7220, loss_bbox: 0.3065, loss_rpn_cls_unlabeled: 0.1156, loss_rpn_bbox_unlabeled: 0.1147, loss_cls_unlabeled: 0.2219, acc_unlabeled: 90.5724, loss_bbox_unlabeled: 0.1905, losses_cls_ig_unlabeled: 0.1940, pseudo_num: 1.7327, pseudo_num_ig: 9.6976, pseudo_num_mining: 0.4984, pseudo_num(acc): 0.5851, pseudo_num ig(acc): 0.2720, loss: 1.4738
2021-11-06 10:39:49,420 - mmdet - INFO - Iter [1150/40000]	lr: 2.000e-02, eta: 20:07:41, time: 1.736, data_time: 0.030, memory: 26180, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0598, loss_cls: 0.2348, acc: 91.6678, loss_bbox: 0.3147, loss_rpn_cls_unlabeled: 0.1117, loss_rpn_bbox_unlabeled: 0.1086, loss_cls_unlabeled: 0.2188, acc_unlabeled: 90.5428, loss_bbox_unlabeled: 0.1929, losses_cls_ig_unlabeled: 0.1928, pseudo_num: 1.7272, pseudo_num_ig: 9.5127, pseudo_num_mining: 0.4905, pseudo_num(acc): 0.5933, pseudo_num ig(acc): 0.2750, loss: 1.4748
2021-11-06 10:41:14,020 - mmdet - INFO - Iter [1200/40000]	lr: 2.000e-02, eta: 20:01:20, time: 1.687, data_time: 0.027, memory: 26180, loss_rpn_cls: 0.0391, loss_rpn_bbox: 0.0576, loss_cls: 0.2280, acc: 91.8906, loss_bbox: 0.3072, loss_rpn_cls_unlabeled: 0.1109, loss_rpn_bbox_unlabeled: 0.1148, loss_cls_unlabeled: 0.2316, acc_unlabeled: 90.4845, loss_bbox_unlabeled: 0.2026, losses_cls_ig_unlabeled: 0.1902, pseudo_num: 1.7235, pseudo_num_ig: 9.3388, pseudo_num_mining: 0.4820, pseudo_num(acc): 0.6007, pseudo_num ig(acc): 0.2776, loss: 1.4820
2021-11-06 10:42:38,133 - mmdet - INFO - Iter [1250/40000]	lr: 2.000e-02, eta: 19:55:22, time: 1.686, data_time: 0.030, memory: 26180, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0541, loss_cls: 0.2178, acc: 92.2626, loss_bbox: 0.2923, loss_rpn_cls_unlabeled: 0.1093, loss_rpn_bbox_unlabeled: 0.1107, loss_cls_unlabeled: 0.2256, acc_unlabeled: 90.3959, loss_bbox_unlabeled: 0.2004, losses_cls_ig_unlabeled: 0.1938, pseudo_num: 1.7230, pseudo_num_ig: 9.1812, pseudo_num_mining: 0.4748, pseudo_num(acc): 0.6076, pseudo_num ig(acc): 0.2802, loss: 1.4405
2021-11-06 10:44:02,757 - mmdet - INFO - Iter [1300/40000]	lr: 2.000e-02, eta: 19:49:54, time: 1.693, data_time: 0.028, memory: 26180, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0575, loss_cls: 0.2191, acc: 92.2043, loss_bbox: 0.2962, loss_rpn_cls_unlabeled: 0.1057, loss_rpn_bbox_unlabeled: 0.1093, loss_cls_unlabeled: 0.2187, acc_unlabeled: 90.8313, loss_bbox_unlabeled: 0.1981, losses_cls_ig_unlabeled: 0.1789, pseudo_num: 1.7220, pseudo_num_ig: 9.0309, pseudo_num_mining: 0.4682, pseudo_num(acc): 0.6136, pseudo_num ig(acc): 0.2828, loss: 1.4186
2021-11-06 10:45:26,806 - mmdet - INFO - Iter [1350/40000]	lr: 2.000e-02, eta: 19:44:27, time: 1.681, data_time: 0.032, memory: 26180, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0540, loss_cls: 0.2073, acc: 92.5328, loss_bbox: 0.2895, loss_rpn_cls_unlabeled: 0.1083, loss_rpn_bbox_unlabeled: 0.1089, loss_cls_unlabeled: 0.2289, acc_unlabeled: 90.6084, loss_bbox_unlabeled: 0.2030, losses_cls_ig_unlabeled: 0.1821, pseudo_num: 1.7222, pseudo_num_ig: 8.8806, pseudo_num_mining: 0.4611, pseudo_num(acc): 0.6199, pseudo_num ig(acc): 0.2850, loss: 1.4167
2021-11-06 10:46:51,580 - mmdet - INFO - Iter [1400/40000]	lr: 2.000e-02, eta: 19:39:35, time: 1.694, data_time: 0.027, memory: 26180, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0547, loss_cls: 0.2209, acc: 92.1000, loss_bbox: 0.3036, loss_rpn_cls_unlabeled: 0.1185, loss_rpn_bbox_unlabeled: 0.1172, loss_cls_unlabeled: 0.2279, acc_unlabeled: 90.5249, loss_bbox_unlabeled: 0.2051, losses_cls_ig_unlabeled: 0.1824, pseudo_num: 1.7256, pseudo_num_ig: 8.7492, pseudo_num_mining: 0.4550, pseudo_num(acc): 0.6255, pseudo_num ig(acc): 0.2870, loss: 1.4675
2021-11-06 10:48:18,288 - mmdet - INFO - Iter [1450/40000]	lr: 2.000e-02, eta: 19:35:50, time: 1.734, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0546, loss_cls: 0.2084, acc: 92.4771, loss_bbox: 0.2887, loss_rpn_cls_unlabeled: 0.1096, loss_rpn_bbox_unlabeled: 0.1130, loss_cls_unlabeled: 0.2322, acc_unlabeled: 90.7996, loss_bbox_unlabeled: 0.2061, losses_cls_ig_unlabeled: 0.1717, pseudo_num: 1.7298, pseudo_num_ig: 8.6296, pseudo_num_mining: 0.4498, pseudo_num(acc): 0.6309, pseudo_num ig(acc): 0.2892, loss: 1.4189
2021-11-06 10:49:41,567 - mmdet - INFO - pseudo pos: 0.98(1766.0-person) 0.82(76.0-bicycle) 0.91(476.0-car) 0.90(97.0-motorcycle) 0.97(39.0-airplane) 0.97(77.0-bus) 1.00(53.0-train) 0.67(99.0-truck) 0.45(206.0-boat) 0.74(184.0-traffic light) 0.97(32.0-fire hydrant) 1.00(26.0-stop sign) 0.30(20.0-parking meter) 0.35(136.0-bench) 0.74(87.0-bird) 0.86(69.0-cat) 0.86(66.0-dog) 0.84(92.0-horse) 0.93(67.0-sheep) 0.63(156.0-cow) 1.00(31.0-elephant) 1.00(10.0-bear) 1.00(64.0-zebra) 1.00(54.0-giraffe) 0.32(114.0-backpack) 0.68(149.0-umbrella) 0.34(182.0-handbag) 0.59(111.0-tie) 0.43(104.0-suitcase) 0.88(26.0-frisbee) 0.42(86.0-skis) 0.13(45.0-snowboard) 0.95(74.0-sports ball) 0.73(73.0-kite) 0.73(41.0-baseball bat) 0.39(110.0-baseball glove) 0.76(67.0-skateboard) 0.72(85.0-surfboard) 0.96(46.0-tennis racket) 0.79(198.0-bottle) 0.77(69.0-wine glass) 0.72(287.0-cup) 0.20(155.0-fork) 0.19(206.0-knife) 0.10(138.0-spoon) 0.70(195.0-bowl) 0.47(174.0-banana) 0.24(203.0-apple) 0.31(143.0-sandwich) 0.29(65.0-orange) 0.65(96.0-broccoli) 0.40(86.0-carrot) 0.12(24.0-hot dog) 0.85(75.0-pizza) 0.36(110.0-donut) 0.41(93.0-cake) 0.42(859.0-chair) 0.48(90.0-couch) 0.54(145.0-potted plant) 0.75(55.0-bed) 0.65(219.0-dining table) 0.89(38.0-toilet) 0.88(66.0-tv) 0.88(74.0-laptop) 0.93(14.0-mouse) 0.37(75.0-remote) 0.81(43.0-keyboard) 0.53(112.0-cell phone) 0.92(24.0-microwave) 0.53(68.0-oven) 0.00(0.0-toaster) 0.74(76.0-sink) 0.60(42.0-refrigerator) 0.19(350.0-book) 0.89(38.0-clock) 0.67(85.0-vase) 0.14(7.0-scissors) 0.98(49.0-teddy bear) 0.00(0.0-hair drier) 0.11(106.0-toothbrush)
2021-11-06 10:49:41,567 - mmdet - INFO - pseudo ig: 0.61(11053.0-person) 0.27(330.0-bicycle) 0.36(2454.0-car) 0.42(433.0-motorcycle) 0.61(120.0-airplane) 0.50(259.0-bus) 0.35(260.0-train) 0.29(416.0-truck) 0.16(909.0-boat) 0.14(1215.0-traffic light) 0.49(63.0-fire hydrant) 0.34(143.0-stop sign) 0.06(79.0-parking meter) 0.12(667.0-bench) 0.30(306.0-bird) 0.54(239.0-cat) 0.54(186.0-dog) 0.35(330.0-horse) 0.46(275.0-sheep) 0.18(631.0-cow) 0.71(162.0-elephant) 0.45(47.0-bear) 0.40(417.0-zebra) 0.68(269.0-giraffe) 0.15(495.0-backpack) 0.25(562.0-umbrella) 0.07(773.0-handbag) 0.12(680.0-tie) 0.12(391.0-suitcase) 0.24(197.0-frisbee) 0.17(439.0-skis) 0.11(80.0-snowboard) 0.21(403.0-sports ball) 0.22(492.0-kite) 0.21(164.0-baseball bat) 0.06(530.0-baseball glove) 0.23(296.0-skateboard) 0.26(355.0-surfboard) 0.37(277.0-tennis racket) 0.24(1424.0-bottle) 0.25(380.0-wine glass) 0.20(1547.0-cup) 0.08(450.0-fork) 0.05(852.0-knife) 0.04(729.0-spoon) 0.19(1071.0-bowl) 0.15(672.0-banana) 0.05(621.0-apple) 0.15(291.0-sandwich) 0.23(130.0-orange) 0.20(620.0-broccoli) 0.10(762.0-carrot) 0.00(5.0-hot dog) 0.37(256.0-pizza) 0.13(669.0-donut) 0.12(341.0-cake) 0.12(4444.0-chair) 0.17(282.0-couch) 0.14(869.0-potted plant) 0.37(193.0-bed) 0.21(751.0-dining table) 0.55(169.0-toilet) 0.38(331.0-tv) 0.30(289.0-laptop) 0.32(65.0-mouse) 0.12(378.0-remote) 0.39(132.0-keyboard) 0.13(510.0-cell phone) 0.23(88.0-microwave) 0.15(236.0-oven) 0.00(0.0-toaster) 0.25(334.0-sink) 0.17(181.0-refrigerator) 0.16(1575.0-book) 0.48(334.0-clock) 0.26(281.0-vase) 0.07(80.0-scissors) 0.42(187.0-teddy bear) 0.00(0.0-hair drier) 0.04(220.0-toothbrush)
2021-11-06 10:49:41,567 - mmdet - INFO - pseudo gt: 12912.0 397.0 2254.0 467.0 264.0 333.0 216.0 525.0 557.0 648.0 101.0 123.0 47.0 573.0 515.0 247.0 285.0 354.0 515.0 388.0 264.0 52.0 280.0 253.0 481.0 588.0 639.0 291.0 346.0 132.0 299.0 146.0 418.0 358.0 160.0 157.0 257.0 326.0 283.0 1194.0 379.0 975.0 262.0 381.0 286.0 625.0 578.0 258.0 215.0 310.0 386.0 418.0 113.0 307.0 263.0 261.0 1969.0 261.0 444.0 224.0 753.0 185.0 308.0 272.0 115.0 305.0 152.0 350.0 82.0 151.0 8.0 286.0 122.0 1322.0 320.0 317.0 63.0 324.0 13.0 106.0
2021-11-06 10:49:41,567 - mmdet - INFO - pseudo mining: 1808.0 4.0 113.0 12.0 9.0 5.0 5.0 3.0 11.0 21.0 7.0 37.0 0.0 1.0 0.0 10.0 0.0 0.0 8.0 2.0 37.0 0.0 40.0 45.0 0.0 17.0 0.0 7.0 0.0 5.0 1.0 0.0 22.0 32.0 4.0 5.0 1.0 0.0 27.0 47.0 2.0 9.0 0.0 0.0 0.0 20.0 5.0 4.0 0.0 4.0 4.0 2.0 0.0 4.0 1.0 0.0 2.0 0.0 5.0 1.0 7.0 22.0 28.0 3.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 3.0 1.0 4.0 109.0 2.0 0.0 9.0 0.0 0.0
2021-11-06 10:49:42,999 - mmdet - INFO - Iter [1500/40000]	lr: 2.000e-02, eta: 19:31:28, time: 1.697, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0540, loss_cls: 0.2064, acc: 92.5170, loss_bbox: 0.2910, loss_rpn_cls_unlabeled: 0.1010, loss_rpn_bbox_unlabeled: 0.1055, loss_cls_unlabeled: 0.2313, acc_unlabeled: 90.9897, loss_bbox_unlabeled: 0.2119, losses_cls_ig_unlabeled: 0.1650, pseudo_num: 1.7346, pseudo_num_ig: 8.5074, pseudo_num_mining: 0.4439, pseudo_num(acc): 0.6347, pseudo_num ig(acc): 0.2911, loss: 1.3996
2021-11-06 10:51:06,879 - mmdet - INFO - Iter [1550/40000]	lr: 2.000e-02, eta: 19:26:50, time: 1.675, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0560, loss_cls: 0.2128, acc: 92.3798, loss_bbox: 0.2989, loss_rpn_cls_unlabeled: 0.1107, loss_rpn_bbox_unlabeled: 0.1072, loss_cls_unlabeled: 0.2410, acc_unlabeled: 90.6874, loss_bbox_unlabeled: 0.2208, losses_cls_ig_unlabeled: 0.1740, pseudo_num: 1.7405, pseudo_num_ig: 8.3868, pseudo_num_mining: 0.4379, pseudo_num(acc): 0.6386, pseudo_num ig(acc): 0.2928, loss: 1.4586
2021-11-06 10:52:29,751 - mmdet - INFO - Iter [1600/40000]	lr: 2.000e-02, eta: 19:22:06, time: 1.660, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0553, loss_cls: 0.2158, acc: 92.2992, loss_bbox: 0.2888, loss_rpn_cls_unlabeled: 0.1133, loss_rpn_bbox_unlabeled: 0.1139, loss_cls_unlabeled: 0.2480, acc_unlabeled: 90.5573, loss_bbox_unlabeled: 0.2264, losses_cls_ig_unlabeled: 0.1768, pseudo_num: 1.7485, pseudo_num_ig: 8.2847, pseudo_num_mining: 0.4330, pseudo_num(acc): 0.6411, pseudo_num ig(acc): 0.2944, loss: 1.4747
2021-11-06 10:53:54,058 - mmdet - INFO - Iter [1650/40000]	lr: 2.000e-02, eta: 19:18:02, time: 1.683, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0516, loss_cls: 0.1966, acc: 92.8870, loss_bbox: 0.2759, loss_rpn_cls_unlabeled: 0.1163, loss_rpn_bbox_unlabeled: 0.1206, loss_cls_unlabeled: 0.2583, acc_unlabeled: 90.8837, loss_bbox_unlabeled: 0.2456, losses_cls_ig_unlabeled: 0.1598, pseudo_num: 1.7630, pseudo_num_ig: 8.1917, pseudo_num_mining: 0.4294, pseudo_num(acc): 0.6422, pseudo_num ig(acc): 0.2962, loss: 1.4576
2021-11-06 10:55:18,316 - mmdet - INFO - Iter [1700/40000]	lr: 2.000e-02, eta: 19:14:11, time: 1.687, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0542, loss_cls: 0.2191, acc: 92.2554, loss_bbox: 0.2930, loss_rpn_cls_unlabeled: 0.1176, loss_rpn_bbox_unlabeled: 0.1163, loss_cls_unlabeled: 0.2844, acc_unlabeled: 90.5764, loss_bbox_unlabeled: 0.2525, losses_cls_ig_unlabeled: 0.1665, pseudo_num: 1.7811, pseudo_num_ig: 8.0974, pseudo_num_mining: 0.4256, pseudo_num(acc): 0.6409, pseudo_num ig(acc): 0.2976, loss: 1.5393
2021-11-06 10:56:42,841 - mmdet - INFO - Iter [1750/40000]	lr: 2.000e-02, eta: 19:10:33, time: 1.691, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0555, loss_cls: 0.2103, acc: 92.4624, loss_bbox: 0.2871, loss_rpn_cls_unlabeled: 0.1116, loss_rpn_bbox_unlabeled: 0.1190, loss_cls_unlabeled: 0.2858, acc_unlabeled: 90.5304, loss_bbox_unlabeled: 0.2679, losses_cls_ig_unlabeled: 0.1589, pseudo_num: 1.8000, pseudo_num_ig: 8.0034, pseudo_num_mining: 0.4218, pseudo_num(acc): 0.6388, pseudo_num ig(acc): 0.2991, loss: 1.5319
2021-11-06 10:58:06,286 - mmdet - INFO - Iter [1800/40000]	lr: 2.000e-02, eta: 19:06:37, time: 1.668, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0554, loss_cls: 0.2224, acc: 92.0692, loss_bbox: 0.2978, loss_rpn_cls_unlabeled: 0.1157, loss_rpn_bbox_unlabeled: 0.1311, loss_cls_unlabeled: 0.3016, acc_unlabeled: 90.0779, loss_bbox_unlabeled: 0.2980, losses_cls_ig_unlabeled: 0.1632, pseudo_num: 1.8262, pseudo_num_ig: 7.9210, pseudo_num_mining: 0.4182, pseudo_num(acc): 0.6349, pseudo_num ig(acc): 0.3006, loss: 1.6206
2021-11-06 10:59:31,069 - mmdet - INFO - Iter [1850/40000]	lr: 2.000e-02, eta: 19:03:18, time: 1.695, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0540, loss_cls: 0.2153, acc: 92.3397, loss_bbox: 0.2861, loss_rpn_cls_unlabeled: 0.1190, loss_rpn_bbox_unlabeled: 0.1331, loss_cls_unlabeled: 0.3215, acc_unlabeled: 89.9172, loss_bbox_unlabeled: 0.3222, losses_cls_ig_unlabeled: 0.1564, pseudo_num: 1.8619, pseudo_num_ig: 7.8438, pseudo_num_mining: 0.4147, pseudo_num(acc): 0.6279, pseudo_num ig(acc): 0.3020, loss: 1.6438
2021-11-06 11:00:55,347 - mmdet - INFO - Iter [1900/40000]	lr: 2.000e-02, eta: 18:59:55, time: 1.686, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0562, loss_cls: 0.2262, acc: 91.9375, loss_bbox: 0.2968, loss_rpn_cls_unlabeled: 0.1170, loss_rpn_bbox_unlabeled: 0.1309, loss_cls_unlabeled: 0.3205, acc_unlabeled: 90.1466, loss_bbox_unlabeled: 0.3173, losses_cls_ig_unlabeled: 0.1500, pseudo_num: 1.9013, pseudo_num_ig: 7.7649, pseudo_num_mining: 0.4108, pseudo_num(acc): 0.6193, pseudo_num ig(acc): 0.3030, loss: 1.6511
2021-11-06 11:02:18,881 - mmdet - INFO - Iter [1950/40000]	lr: 2.000e-02, eta: 18:56:25, time: 1.672, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0554, loss_cls: 0.2197, acc: 92.1849, loss_bbox: 0.2866, loss_rpn_cls_unlabeled: 0.1231, loss_rpn_bbox_unlabeled: 0.1407, loss_cls_unlabeled: 0.3402, acc_unlabeled: 89.7192, loss_bbox_unlabeled: 0.3406, losses_cls_ig_unlabeled: 0.1533, pseudo_num: 1.9431, pseudo_num_ig: 7.6959, pseudo_num_mining: 0.4071, pseudo_num(acc): 0.6106, pseudo_num ig(acc): 0.3043, loss: 1.6969
2021-11-06 11:03:40,573 - mmdet - INFO - pseudo pos: 0.98(3028.0-person) 0.82(106.0-bicycle) 0.90(678.0-car) 0.92(143.0-motorcycle) 0.96(49.0-airplane) 0.96(101.0-bus) 1.00(76.0-train) 0.61(136.0-truck) 0.49(243.0-boat) 0.75(213.0-traffic light) 0.97(37.0-fire hydrant) 1.00(36.0-stop sign) 0.33(39.0-parking meter) 0.39(157.0-bench) 0.78(122.0-bird) 0.89(87.0-cat) 0.83(83.0-dog) 0.83(124.0-horse) 0.94(78.0-sheep) 0.66(214.0-cow) 0.98(51.0-elephant) 1.00(17.0-bear) 0.98(101.0-zebra) 1.00(91.0-giraffe) 0.32(148.0-backpack) 0.67(184.0-umbrella) 0.34(223.0-handbag) 0.65(136.0-tie) 0.44(120.0-suitcase) 0.87(45.0-frisbee) 0.43(89.0-skis) 0.04(508.0-snowboard) 0.94(100.0-sports ball) 0.73(101.0-kite) 0.70(53.0-baseball bat) 0.42(123.0-baseball glove) 0.81(83.0-skateboard) 0.76(104.0-surfboard) 0.92(61.0-tennis racket) 0.80(292.0-bottle) 0.82(109.0-wine glass) 0.74(367.0-cup) 0.22(166.0-fork) 0.18(257.0-knife) 0.13(157.0-spoon) 0.66(279.0-bowl) 0.48(205.0-banana) 0.24(204.0-apple) 0.31(143.0-sandwich) 0.21(266.0-orange) 0.68(127.0-broccoli) 0.35(112.0-carrot) 0.03(1429.0-hot dog) 0.88(97.0-pizza) 0.43(124.0-donut) 0.42(114.0-cake) 0.45(1004.0-chair) 0.49(119.0-couch) 0.56(208.0-potted plant) 0.77(79.0-bed) 0.64(329.0-dining table) 0.91(57.0-toilet) 0.86(96.0-tv) 0.89(96.0-laptop) 0.90(21.0-mouse) 0.40(102.0-remote) 0.74(65.0-keyboard) 0.54(135.0-cell phone) 0.89(38.0-microwave) 0.55(101.0-oven) 0.00(0.0-toaster) 0.74(100.0-sink) 0.64(55.0-refrigerator) 0.21(423.0-book) 0.92(53.0-clock) 0.69(118.0-vase) 0.47(19.0-scissors) 0.97(59.0-teddy bear) 0.00(0.0-hair drier) 0.11(106.0-toothbrush)
2021-11-06 11:03:40,573 - mmdet - INFO - pseudo ig: 0.60(14327.0-person) 0.28(419.0-bicycle) 0.36(2986.0-car) 0.42(583.0-motorcycle) 0.62(151.0-airplane) 0.53(322.0-bus) 0.39(313.0-train) 0.29(528.0-truck) 0.20(1056.0-boat) 0.15(1360.0-traffic light) 0.57(93.0-fire hydrant) 0.37(167.0-stop sign) 0.08(114.0-parking meter) 0.13(746.0-bench) 0.29(402.0-bird) 0.58(295.0-cat) 0.56(225.0-dog) 0.33(416.0-horse) 0.46(304.0-sheep) 0.22(736.0-cow) 0.77(265.0-elephant) 0.43(58.0-bear) 0.42(470.0-zebra) 0.70(319.0-giraffe) 0.15(564.0-backpack) 0.26(649.0-umbrella) 0.09(913.0-handbag) 0.14(747.0-tie) 0.12(468.0-suitcase) 0.26(235.0-frisbee) 0.18(467.0-skis) 0.03(470.0-snowboard) 0.22(484.0-sports ball) 0.24(590.0-kite) 0.19(208.0-baseball bat) 0.07(556.0-baseball glove) 0.28(355.0-skateboard) 0.28(415.0-surfboard) 0.40(310.0-tennis racket) 0.25(1713.0-bottle) 0.29(462.0-wine glass) 0.21(1825.0-cup) 0.08(469.0-fork) 0.05(958.0-knife) 0.04(791.0-spoon) 0.20(1322.0-bowl) 0.16(781.0-banana) 0.06(648.0-apple) 0.16(299.0-sandwich) 0.13(309.0-orange) 0.21(680.0-broccoli) 0.11(863.0-carrot) 0.00(5.0-hot dog) 0.43(327.0-pizza) 0.14(746.0-donut) 0.12(390.0-cake) 0.14(4854.0-chair) 0.17(365.0-couch) 0.16(1001.0-potted plant) 0.35(279.0-bed) 0.21(967.0-dining table) 0.57(207.0-toilet) 0.37(399.0-tv) 0.34(345.0-laptop) 0.27(95.0-mouse) 0.12(450.0-remote) 0.36(179.0-keyboard) 0.15(590.0-cell phone) 0.24(116.0-microwave) 0.16(278.0-oven) 0.00(0.0-toaster) 0.27(380.0-sink) 0.19(200.0-refrigerator) 0.16(1758.0-book) 0.51(393.0-clock) 0.28(358.0-vase) 0.10(94.0-scissors) 0.46(221.0-teddy bear) 0.00(0.0-hair drier) 0.04(222.0-toothbrush)
2021-11-06 11:03:40,574 - mmdet - INFO - pseudo gt: 17422.0 540.0 3023.0 664.0 347.0 439.0 299.0 662.0 825.0 854.0 140.0 158.0 77.0 719.0 731.0 326.0 358.0 438.0 599.0 545.0 457.0 69.0 367.0 336.0 620.0 711.0 874.0 418.0 417.0 192.0 416.0 184.0 510.0 519.0 221.0 207.0 358.0 436.0 356.0 1543.0 538.0 1296.0 334.0 508.0 366.0 857.0 720.0 351.0 269.0 434.0 520.0 517.0 177.0 443.0 377.0 344.0 2670.0 362.0 597.0 293.0 1031.0 251.0 413.0 379.0 162.0 382.0 199.0 440.0 113.0 207.0 12.0 379.0 166.0 1690.0 425.0 452.0 95.0 399.0 16.0 131.0
2021-11-06 11:03:40,574 - mmdet - INFO - pseudo mining: 2137.0 7.0 142.0 15.0 11.0 8.0 8.0 3.0 14.0 28.0 16.0 48.0 0.0 1.0 0.0 14.0 0.0 1.0 10.0 3.0 74.0 0.0 46.0 57.0 0.0 21.0 0.0 8.0 0.0 8.0 1.0 0.0 35.0 47.0 4.0 9.0 4.0 1.0 33.0 58.0 4.0 14.0 0.0 0.0 0.0 24.0 6.0 6.0 0.0 4.0 6.0 4.0 0.0 7.0 1.0 0.0 2.0 1.0 10.0 1.0 9.0 32.0 34.0 4.0 1.0 1.0 2.0 1.0 3.0 0.0 0.0 4.0 1.0 8.0 146.0 4.0 0.0 12.0 0.0 0.0
2021-11-06 11:04:36,452 - mmdet - INFO - Evaluating bbox...
2021-11-06 11:05:45,467 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.335 | bicycle      | 0.116 | car            | 0.221 |
| motorcycle    | 0.160 | airplane     | 0.189 | bus            | 0.314 |
| train         | 0.271 | truck        | 0.102 | boat           | 0.062 |
| traffic light | 0.138 | fire hydrant | 0.217 | stop sign      | 0.409 |
| parking meter | 0.157 | bench        | 0.059 | bird           | 0.097 |
| cat           | 0.246 | dog          | 0.186 | horse          | 0.278 |
| sheep         | 0.180 | cow          | 0.150 | elephant       | 0.325 |
| bear          | 0.345 | zebra        | 0.393 | giraffe        | 0.406 |
| backpack      | 0.024 | umbrella     | 0.109 | handbag        | 0.026 |
| tie           | 0.091 | suitcase     | 0.053 | frisbee        | 0.285 |
| skis          | 0.020 | snowboard    | 0.015 | sports ball    | 0.267 |
| kite          | 0.170 | baseball bat | 0.074 | baseball glove | 0.163 |
| skateboard    | 0.126 | surfboard    | 0.080 | tennis racket  | 0.200 |
| bottle        | 0.162 | wine glass   | 0.099 | cup            | 0.183 |
| fork          | 0.012 | knife        | 0.018 | spoon          | 0.013 |
| bowl          | 0.177 | banana       | 0.050 | apple          | 0.056 |
| sandwich      | 0.085 | orange       | 0.107 | broccoli       | 0.103 |
| carrot        | 0.040 | hot dog      | 0.005 | pizza          | 0.231 |
| donut         | 0.103 | cake         | 0.044 | chair          | 0.071 |
| couch         | 0.090 | potted plant | 0.080 | bed            | 0.131 |
| dining table  | 0.073 | toilet       | 0.220 | tv             | 0.263 |
| laptop        | 0.231 | mouse        | 0.245 | remote         | 0.038 |
| keyboard      | 0.146 | cell phone   | 0.119 | microwave      | 0.252 |
| oven          | 0.086 | toaster      | 0.000 | sink           | 0.126 |
| refrigerator  | 0.147 | book         | 0.019 | clock          | 0.312 |
| vase          | 0.143 | scissors     | 0.044 | teddy bear     | 0.132 |
| hair drier    | 0.000 | toothbrush   | 0.007 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 11:06:41,049 - mmdet - INFO - Evaluating bbox...
2021-11-06 11:07:51,297 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.365 | bicycle      | 0.136 | car            | 0.267 |
| motorcycle    | 0.197 | airplane     | 0.278 | bus            | 0.359 |
| train         | 0.296 | truck        | 0.127 | boat           | 0.089 |
| traffic light | 0.176 | fire hydrant | 0.362 | stop sign      | 0.454 |
| parking meter | 0.200 | bench        | 0.076 | bird           | 0.137 |
| cat           | 0.355 | dog          | 0.292 | horse          | 0.317 |
| sheep         | 0.201 | cow          | 0.225 | elephant       | 0.347 |
| bear          | 0.414 | zebra        | 0.402 | giraffe        | 0.447 |
| backpack      | 0.039 | umbrella     | 0.132 | handbag        | 0.030 |
| tie           | 0.121 | suitcase     | 0.062 | frisbee        | 0.322 |
| skis          | 0.040 | snowboard    | 0.024 | sports ball    | 0.292 |
| kite          | 0.197 | baseball bat | 0.087 | baseball glove | 0.187 |
| skateboard    | 0.168 | surfboard    | 0.105 | tennis racket  | 0.213 |
| bottle        | 0.198 | wine glass   | 0.126 | cup            | 0.226 |
| fork          | 0.024 | knife        | 0.025 | spoon          | 0.016 |
| bowl          | 0.232 | banana       | 0.082 | apple          | 0.064 |
| sandwich      | 0.120 | orange       | 0.150 | broccoli       | 0.114 |
| carrot        | 0.041 | hot dog      | 0.012 | pizza          | 0.277 |
| donut         | 0.177 | cake         | 0.059 | chair          | 0.086 |
| couch         | 0.105 | potted plant | 0.104 | bed            | 0.176 |
| dining table  | 0.099 | toilet       | 0.305 | tv             | 0.293 |
| laptop        | 0.271 | mouse        | 0.313 | remote         | 0.057 |
| keyboard      | 0.221 | cell phone   | 0.139 | microwave      | 0.263 |
| oven          | 0.119 | toaster      | 0.000 | sink           | 0.147 |
| refrigerator  | 0.182 | book         | 0.027 | clock          | 0.359 |
| vase          | 0.186 | scissors     | 0.050 | teddy bear     | 0.192 |
| hair drier    | 0.000 | toothbrush   | 0.012 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 11:09:16,746 - mmdet - INFO - current percent: 0.2
2021-11-06 11:09:16,748 - mmdet - INFO - update score thr (positive): (0.99-person) (0.95-bicycle) (0.98-car) (0.98-motorcycle) (0.99-airplane) (0.99-bus) (0.99-train) (0.94-truck) (0.92-boat) (0.93-traffic light) (0.98-fire hydrant) (1.00-stop sign) (0.79-parking meter) (0.89-bench) (0.94-bird) (0.98-cat) (0.96-dog) (0.98-horse) (0.97-sheep) (0.95-cow) (0.99-elephant) (0.98-bear) (0.99-zebra) (0.99-giraffe) (0.85-backpack) (0.97-umbrella) (0.64-handbag) (0.92-tie) (0.92-suitcase) (0.98-frisbee) (0.58-skis) (0.93-snowboard) (0.98-sports ball) (0.98-kite) (0.98-baseball bat) (0.97-baseball glove) (0.96-skateboard) (0.92-surfboard) (0.99-tennis racket) (0.96-bottle) (0.95-wine glass) (0.95-cup) (0.82-fork) (0.77-knife) (0.64-spoon) (0.95-bowl) (0.90-banana) (0.41-apple) (0.37-sandwich) (0.94-orange) (0.96-broccoli) (0.76-carrot) (0.90-hot dog) (0.97-pizza) (0.76-donut) (0.69-cake) (0.86-chair) (0.91-couch) (0.95-potted plant) (0.95-bed) (0.93-dining table) (0.99-toilet) (0.98-tv) (0.99-laptop) (0.98-mouse) (0.87-remote) (0.98-keyboard) (0.97-cell phone) (0.96-microwave) (0.94-oven) (0.05-toaster) (0.97-sink) (0.91-refrigerator) (0.81-book) (0.99-clock) (0.95-vase) (0.70-scissors) (0.98-teddy bear) (0.05-hair drier) (0.37-toothbrush)
2021-11-06 11:09:16,748 - mmdet - INFO - update score thr (ignore): (0.40-person) (0.38-bicycle) (0.42-car) (0.49-motorcycle) (0.72-airplane) (0.41-bus) (0.47-train) (0.47-truck) (0.35-boat) (0.37-traffic light) (0.40-fire hydrant) (0.76-stop sign) (0.31-parking meter) (0.36-bench) (0.23-bird) (0.50-cat) (0.44-dog) (0.50-horse) (0.53-sheep) (0.51-cow) (0.58-elephant) (0.53-bear) (0.30-zebra) (0.26-giraffe) (0.38-backpack) (0.40-umbrella) (0.24-handbag) (0.36-tie) (0.36-suitcase) (0.49-frisbee) (0.20-skis) (0.85-snowboard) (0.36-sports ball) (0.47-kite) (0.57-baseball bat) (0.48-baseball glove) (0.43-skateboard) (0.33-surfboard) (0.43-tennis racket) (0.47-bottle) (0.27-wine glass) (0.34-cup) (0.27-fork) (0.35-knife) (0.23-spoon) (0.42-bowl) (0.37-banana) (0.14-apple) (0.16-sandwich) (0.85-orange) (0.61-broccoli) (0.34-carrot) (0.85-hot dog) (0.49-pizza) (0.29-donut) (0.25-cake) (0.30-chair) (0.53-couch) (0.52-potted plant) (0.52-bed) (0.48-dining table) (0.56-toilet) (0.62-tv) (0.56-laptop) (0.65-mouse) (0.44-remote) (0.63-keyboard) (0.52-cell phone) (0.48-microwave) (0.52-oven) (0.05-toaster) (0.41-sink) (0.52-refrigerator) (0.34-book) (0.58-clock) (0.45-vase) (0.21-scissors) (0.71-teddy bear) (0.05-hair drier) (0.12-toothbrush)
2021-11-06 11:09:17,053 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 11:09:17,053 - mmdet - INFO - Iter [2000/40000]	lr: 2.000e-02, eta: 18:52:53, time: 1.663, data_time: 0.027, memory: 26488, bbox_mAP: 0.1770, bbox_mAP_50: 0.3420, bbox_mAP_75: 0.1660, bbox_mAP_s: 0.0880, bbox_mAP_m: 0.2040, bbox_mAP_l: 0.2290, bbox_mAP_copypaste: 0.177 0.342 0.166 0.088 0.204 0.229, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0547, loss_cls: 0.2190, acc: 92.2046, loss_bbox: 0.2866, loss_rpn_cls_unlabeled: 0.1330, loss_rpn_bbox_unlabeled: 0.1495, loss_cls_unlabeled: 0.3611, acc_unlabeled: 89.6992, loss_bbox_unlabeled: 0.3575, losses_cls_ig_unlabeled: 0.1460, pseudo_num: 1.9972, pseudo_num_ig: 7.6308, pseudo_num_mining: 0.4043, pseudo_num(acc): 0.5989, pseudo_num ig(acc): 0.3053, loss: 1.7444
2021-11-06 11:10:42,104 - mmdet - INFO - Iter [2050/40000]	lr: 2.000e-02, eta: 20:33:22, time: 8.399, data_time: 6.726, memory: 26488, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0538, loss_cls: 0.1924, acc: 93.0458, loss_bbox: 0.2742, loss_rpn_cls_unlabeled: 0.1119, loss_rpn_bbox_unlabeled: 0.1076, loss_cls_unlabeled: 0.2002, acc_unlabeled: 91.0059, loss_bbox_unlabeled: 0.1793, losses_cls_ig_unlabeled: 0.1862, pseudo_num: 2.0199, pseudo_num_ig: 7.5734, pseudo_num_mining: 0.4040, pseudo_num(acc): 0.5942, pseudo_num ig(acc): 0.3065, loss: 1.3403
2021-11-06 11:12:05,093 - mmdet - INFO - Iter [2100/40000]	lr: 2.000e-02, eta: 20:27:26, time: 1.663, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0535, loss_cls: 0.1926, acc: 92.8645, loss_bbox: 0.2850, loss_rpn_cls_unlabeled: 0.1067, loss_rpn_bbox_unlabeled: 0.1116, loss_cls_unlabeled: 0.2012, acc_unlabeled: 90.6792, loss_bbox_unlabeled: 0.1853, losses_cls_ig_unlabeled: 0.1809, pseudo_num: 2.0086, pseudo_num_ig: 7.5262, pseudo_num_mining: 0.4059, pseudo_num(acc): 0.5981, pseudo_num ig(acc): 0.3080, loss: 1.3485
2021-11-06 11:13:27,642 - mmdet - INFO - Iter [2150/40000]	lr: 2.000e-02, eta: 20:21:27, time: 1.647, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0532, loss_cls: 0.1967, acc: 92.7535, loss_bbox: 0.2898, loss_rpn_cls_unlabeled: 0.1088, loss_rpn_bbox_unlabeled: 0.1067, loss_cls_unlabeled: 0.2043, acc_unlabeled: 90.6818, loss_bbox_unlabeled: 0.1895, losses_cls_ig_unlabeled: 0.1815, pseudo_num: 1.9991, pseudo_num_ig: 7.4809, pseudo_num_mining: 0.4064, pseudo_num(acc): 0.6017, pseudo_num ig(acc): 0.3094, loss: 1.3626
2021-11-06 11:14:51,618 - mmdet - INFO - Iter [2200/40000]	lr: 2.000e-02, eta: 20:16:11, time: 1.680, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0536, loss_cls: 0.1922, acc: 92.8713, loss_bbox: 0.2805, loss_rpn_cls_unlabeled: 0.1046, loss_rpn_bbox_unlabeled: 0.1066, loss_cls_unlabeled: 0.2070, acc_unlabeled: 90.7391, loss_bbox_unlabeled: 0.1937, losses_cls_ig_unlabeled: 0.1782, pseudo_num: 1.9901, pseudo_num_ig: 7.4374, pseudo_num_mining: 0.4077, pseudo_num(acc): 0.6049, pseudo_num ig(acc): 0.3108, loss: 1.3469
2021-11-06 11:16:15,644 - mmdet - INFO - Iter [2250/40000]	lr: 2.000e-02, eta: 20:11:04, time: 1.680, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0551, loss_cls: 0.1896, acc: 92.9902, loss_bbox: 0.2800, loss_rpn_cls_unlabeled: 0.1087, loss_rpn_bbox_unlabeled: 0.1072, loss_cls_unlabeled: 0.2120, acc_unlabeled: 90.8617, loss_bbox_unlabeled: 0.1917, losses_cls_ig_unlabeled: 0.1795, pseudo_num: 1.9837, pseudo_num_ig: 7.3971, pseudo_num_mining: 0.4088, pseudo_num(acc): 0.6082, pseudo_num ig(acc): 0.3123, loss: 1.3544
2021-11-06 11:17:41,559 - mmdet - INFO - Iter [2300/40000]	lr: 2.000e-02, eta: 20:06:42, time: 1.722, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0527, loss_cls: 0.1873, acc: 93.0581, loss_bbox: 0.2794, loss_rpn_cls_unlabeled: 0.1050, loss_rpn_bbox_unlabeled: 0.1099, loss_cls_unlabeled: 0.2157, acc_unlabeled: 90.4266, loss_bbox_unlabeled: 0.2024, losses_cls_ig_unlabeled: 0.1803, pseudo_num: 1.9767, pseudo_num_ig: 7.3560, pseudo_num_mining: 0.4088, pseudo_num(acc): 0.6111, pseudo_num ig(acc): 0.3136, loss: 1.3639
2021-11-06 11:19:05,781 - mmdet - INFO - Iter [2350/40000]	lr: 2.000e-02, eta: 20:01:56, time: 1.684, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0568, loss_cls: 0.1903, acc: 92.9164, loss_bbox: 0.2802, loss_rpn_cls_unlabeled: 0.1030, loss_rpn_bbox_unlabeled: 0.1093, loss_cls_unlabeled: 0.2068, acc_unlabeled: 90.8903, loss_bbox_unlabeled: 0.1910, losses_cls_ig_unlabeled: 0.1697, pseudo_num: 1.9703, pseudo_num_ig: 7.3169, pseudo_num_mining: 0.4085, pseudo_num(acc): 0.6141, pseudo_num ig(acc): 0.3147, loss: 1.3388
2021-11-06 11:20:31,591 - mmdet - INFO - Iter [2400/40000]	lr: 2.000e-02, eta: 19:57:41, time: 1.713, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0516, loss_cls: 0.1888, acc: 93.0042, loss_bbox: 0.2782, loss_rpn_cls_unlabeled: 0.1024, loss_rpn_bbox_unlabeled: 0.1121, loss_cls_unlabeled: 0.2225, acc_unlabeled: 90.5508, loss_bbox_unlabeled: 0.2106, losses_cls_ig_unlabeled: 0.1712, pseudo_num: 1.9656, pseudo_num_ig: 7.2788, pseudo_num_mining: 0.4086, pseudo_num(acc): 0.6166, pseudo_num ig(acc): 0.3158, loss: 1.3673
2021-11-06 11:21:57,342 - mmdet - INFO - Iter [2450/40000]	lr: 2.000e-02, eta: 19:53:38, time: 1.718, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0551, loss_cls: 0.1936, acc: 92.8210, loss_bbox: 0.2874, loss_rpn_cls_unlabeled: 0.1045, loss_rpn_bbox_unlabeled: 0.1094, loss_cls_unlabeled: 0.2116, acc_unlabeled: 90.8445, loss_bbox_unlabeled: 0.2042, losses_cls_ig_unlabeled: 0.1699, pseudo_num: 1.9621, pseudo_num_ig: 7.2433, pseudo_num_mining: 0.4089, pseudo_num(acc): 0.6188, pseudo_num ig(acc): 0.3170, loss: 1.3666
2021-11-06 11:23:19,130 - mmdet - INFO - pseudo pos: 0.98(4079.0-person) 0.81(132.0-bicycle) 0.90(837.0-car) 0.92(165.0-motorcycle) 0.97(62.0-airplane) 0.97(124.0-bus) 0.98(99.0-train) 0.64(170.0-truck) 0.51(286.0-boat) 0.77(264.0-traffic light) 0.96(50.0-fire hydrant) 1.00(45.0-stop sign) 0.36(47.0-parking meter) 0.44(193.0-bench) 0.80(138.0-bird) 0.88(103.0-cat) 0.85(106.0-dog) 0.84(137.0-horse) 0.94(97.0-sheep) 0.68(238.0-cow) 0.97(64.0-elephant) 1.00(22.0-bear) 0.98(120.0-zebra) 1.00(118.0-giraffe) 0.32(170.0-backpack) 0.70(220.0-umbrella) 0.35(265.0-handbag) 0.67(161.0-tie) 0.49(144.0-suitcase) 0.86(51.0-frisbee) 0.40(134.0-skis) 0.04(512.0-snowboard) 0.95(112.0-sports ball) 0.75(142.0-kite) 0.72(68.0-baseball bat) 0.45(133.0-baseball glove) 0.83(99.0-skateboard) 0.78(125.0-surfboard) 0.91(66.0-tennis racket) 0.79(381.0-bottle) 0.80(128.0-wine glass) 0.75(480.0-cup) 0.23(179.0-fork) 0.18(297.0-knife) 0.15(176.0-spoon) 0.67(367.0-bowl) 0.49(219.0-banana) 0.26(311.0-apple) 0.31(232.0-sandwich) 0.23(277.0-orange) 0.69(135.0-broccoli) 0.36(158.0-carrot) 0.03(1429.0-hot dog) 0.89(122.0-pizza) 0.47(162.0-donut) 0.47(144.0-cake) 0.47(1166.0-chair) 0.47(134.0-couch) 0.57(244.0-potted plant) 0.78(90.0-bed) 0.64(408.0-dining table) 0.92(74.0-toilet) 0.88(121.0-tv) 0.89(113.0-laptop) 0.92(24.0-mouse) 0.43(126.0-remote) 0.74(77.0-keyboard) 0.56(147.0-cell phone) 0.91(46.0-microwave) 0.57(123.0-oven) 0.00(0.0-toaster) 0.76(124.0-sink) 0.65(63.0-refrigerator) 0.19(519.0-book) 0.94(82.0-clock) 0.70(138.0-vase) 0.54(26.0-scissors) 0.96(72.0-teddy bear) 0.00(0.0-hair drier) 0.14(115.0-toothbrush)
2021-11-06 11:23:19,131 - mmdet - INFO - pseudo ig: 0.59(17593.0-person) 0.28(524.0-bicycle) 0.38(3557.0-car) 0.44(692.0-motorcycle) 0.66(183.0-airplane) 0.53(415.0-bus) 0.41(377.0-train) 0.29(657.0-truck) 0.22(1206.0-boat) 0.16(1564.0-traffic light) 0.55(111.0-fire hydrant) 0.41(198.0-stop sign) 0.11(131.0-parking meter) 0.14(882.0-bench) 0.29(453.0-bird) 0.60(361.0-cat) 0.56(286.0-dog) 0.36(486.0-horse) 0.51(388.0-sheep) 0.23(866.0-cow) 0.77(291.0-elephant) 0.44(70.0-bear) 0.44(524.0-zebra) 0.70(380.0-giraffe) 0.15(669.0-backpack) 0.28(765.0-umbrella) 0.09(1069.0-handbag) 0.16(838.0-tie) 0.14(551.0-suitcase) 0.27(276.0-frisbee) 0.20(568.0-skis) 0.03(482.0-snowboard) 0.24(547.0-sports ball) 0.25(708.0-kite) 0.21(238.0-baseball bat) 0.10(617.0-baseball glove) 0.30(404.0-skateboard) 0.30(497.0-surfboard) 0.42(368.0-tennis racket) 0.26(1981.0-bottle) 0.30(533.0-wine glass) 0.22(2147.0-cup) 0.10(508.0-fork) 0.06(1088.0-knife) 0.04(896.0-spoon) 0.21(1580.0-bowl) 0.17(822.0-banana) 0.07(809.0-apple) 0.15(439.0-sandwich) 0.14(327.0-orange) 0.23(740.0-broccoli) 0.11(978.0-carrot) 0.00(7.0-hot dog) 0.45(393.0-pizza) 0.16(906.0-donut) 0.13(481.0-cake) 0.14(5545.0-chair) 0.18(429.0-couch) 0.17(1118.0-potted plant) 0.37(334.0-bed) 0.22(1195.0-dining table) 0.56(278.0-toilet) 0.40(486.0-tv) 0.35(405.0-laptop) 0.31(120.0-mouse) 0.13(518.0-remote) 0.39(218.0-keyboard) 0.17(706.0-cell phone) 0.28(139.0-microwave) 0.16(332.0-oven) 0.00(0.0-toaster) 0.29(465.0-sink) 0.21(228.0-refrigerator) 0.15(2170.0-book) 0.51(462.0-clock) 0.29(418.0-vase) 0.16(123.0-scissors) 0.49(273.0-teddy bear) 0.00(0.0-hair drier) 0.05(262.0-toothbrush)
2021-11-06 11:23:19,131 - mmdet - INFO - pseudo gt: 21798.0 614.0 3805.0 832.0 426.0 540.0 384.0 828.0 985.0 1054.0 172.0 202.0 89.0 915.0 853.0 410.0 474.0 525.0 796.0 689.0 534.0 89.0 431.0 409.0 748.0 900.0 1098.0 513.0 498.0 231.0 535.0 235.0 628.0 701.0 298.0 282.0 442.0 536.0 452.0 1912.0 730.0 1634.0 450.0 678.0 487.0 1114.0 804.0 449.0 342.0 509.0 656.0 621.0 237.0 545.0 557.0 477.0 3259.0 453.0 750.0 374.0 1272.0 329.0 521.0 459.0 210.0 486.0 258.0 575.0 143.0 256.0 13.0 469.0 211.0 2177.0 528.0 552.0 128.0 483.0 20.0 182.0
2021-11-06 11:23:19,131 - mmdet - INFO - pseudo mining: 2616.0 8.0 194.0 19.0 16.0 12.0 11.0 5.0 17.0 40.0 18.0 66.0 0.0 1.0 0.0 17.0 3.0 12.0 23.0 6.0 81.0 1.0 60.0 72.0 0.0 27.0 0.0 9.0 0.0 13.0 1.0 0.0 51.0 65.0 9.0 12.0 6.0 1.0 48.0 77.0 5.0 21.0 0.0 0.0 0.0 31.0 6.0 6.0 0.0 9.0 14.0 4.0 0.0 9.0 1.0 0.0 5.0 1.0 13.0 1.0 14.0 44.0 48.0 6.0 8.0 3.0 4.0 6.0 3.0 0.0 0.0 9.0 1.0 9.0 177.0 4.0 0.0 19.0 0.0 0.0
2021-11-06 11:23:20,700 - mmdet - INFO - Iter [2500/40000]	lr: 2.000e-02, eta: 19:49:03, time: 1.668, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0519, loss_cls: 0.1828, acc: 93.1255, loss_bbox: 0.2774, loss_rpn_cls_unlabeled: 0.1063, loss_rpn_bbox_unlabeled: 0.1093, loss_cls_unlabeled: 0.2172, acc_unlabeled: 90.6139, loss_bbox_unlabeled: 0.2071, losses_cls_ig_unlabeled: 0.1717, pseudo_num: 1.9593, pseudo_num_ig: 7.2068, pseudo_num_mining: 0.4087, pseudo_num(acc): 0.6208, pseudo_num ig(acc): 0.3178, loss: 1.3523
2021-11-06 11:24:44,833 - mmdet - INFO - Iter [2550/40000]	lr: 2.000e-02, eta: 19:44:46, time: 1.681, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0513, loss_cls: 0.1865, acc: 93.1134, loss_bbox: 0.2745, loss_rpn_cls_unlabeled: 0.1099, loss_rpn_bbox_unlabeled: 0.1151, loss_cls_unlabeled: 0.2348, acc_unlabeled: 90.6022, loss_bbox_unlabeled: 0.2185, losses_cls_ig_unlabeled: 0.1714, pseudo_num: 1.9591, pseudo_num_ig: 7.1768, pseudo_num_mining: 0.4097, pseudo_num(acc): 0.6228, pseudo_num ig(acc): 0.3188, loss: 1.3927
2021-11-06 11:26:09,101 - mmdet - INFO - Iter [2600/40000]	lr: 2.000e-02, eta: 19:40:36, time: 1.682, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0525, loss_cls: 0.1838, acc: 93.2257, loss_bbox: 0.2752, loss_rpn_cls_unlabeled: 0.1084, loss_rpn_bbox_unlabeled: 0.1101, loss_cls_unlabeled: 0.2161, acc_unlabeled: 91.1532, loss_bbox_unlabeled: 0.2097, losses_cls_ig_unlabeled: 0.1624, pseudo_num: 1.9585, pseudo_num_ig: 7.1451, pseudo_num_mining: 0.4099, pseudo_num(acc): 0.6249, pseudo_num ig(acc): 0.3197, loss: 1.3468
2021-11-06 11:27:32,810 - mmdet - INFO - Iter [2650/40000]	lr: 2.000e-02, eta: 19:36:28, time: 1.677, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0539, loss_cls: 0.1894, acc: 92.9459, loss_bbox: 0.2814, loss_rpn_cls_unlabeled: 0.1114, loss_rpn_bbox_unlabeled: 0.1131, loss_cls_unlabeled: 0.2291, acc_unlabeled: 90.6746, loss_bbox_unlabeled: 0.2223, losses_cls_ig_unlabeled: 0.1694, pseudo_num: 1.9582, pseudo_num_ig: 7.1124, pseudo_num_mining: 0.4096, pseudo_num(acc): 0.6267, pseudo_num ig(acc): 0.3205, loss: 1.3992
2021-11-06 11:28:55,686 - mmdet - INFO - Iter [2700/40000]	lr: 2.000e-02, eta: 19:32:13, time: 1.658, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0502, loss_cls: 0.1800, acc: 93.2914, loss_bbox: 0.2748, loss_rpn_cls_unlabeled: 0.1077, loss_rpn_bbox_unlabeled: 0.1145, loss_cls_unlabeled: 0.2257, acc_unlabeled: 90.5269, loss_bbox_unlabeled: 0.2130, losses_cls_ig_unlabeled: 0.1710, pseudo_num: 1.9578, pseudo_num_ig: 7.0837, pseudo_num_mining: 0.4095, pseudo_num(acc): 0.6282, pseudo_num ig(acc): 0.3212, loss: 1.3664
2021-11-06 11:30:20,790 - mmdet - INFO - Iter [2750/40000]	lr: 2.000e-02, eta: 19:28:34, time: 1.701, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0522, loss_cls: 0.1830, acc: 93.2253, loss_bbox: 0.2697, loss_rpn_cls_unlabeled: 0.1081, loss_rpn_bbox_unlabeled: 0.1156, loss_cls_unlabeled: 0.2363, acc_unlabeled: 90.5680, loss_bbox_unlabeled: 0.2219, losses_cls_ig_unlabeled: 0.1680, pseudo_num: 1.9575, pseudo_num_ig: 7.0540, pseudo_num_mining: 0.4092, pseudo_num(acc): 0.6295, pseudo_num ig(acc): 0.3220, loss: 1.3858
2021-11-06 11:31:45,017 - mmdet - INFO - Iter [2800/40000]	lr: 2.000e-02, eta: 19:24:49, time: 1.686, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0527, loss_cls: 0.1852, acc: 93.1523, loss_bbox: 0.2705, loss_rpn_cls_unlabeled: 0.1052, loss_rpn_bbox_unlabeled: 0.1105, loss_cls_unlabeled: 0.2350, acc_unlabeled: 90.7218, loss_bbox_unlabeled: 0.2204, losses_cls_ig_unlabeled: 0.1622, pseudo_num: 1.9600, pseudo_num_ig: 7.0303, pseudo_num_mining: 0.4096, pseudo_num(acc): 0.6301, pseudo_num ig(acc): 0.3227, loss: 1.3707
2021-11-06 11:33:08,161 - mmdet - INFO - Iter [2850/40000]	lr: 2.000e-02, eta: 19:20:53, time: 1.661, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0515, loss_cls: 0.1821, acc: 93.2515, loss_bbox: 0.2691, loss_rpn_cls_unlabeled: 0.1072, loss_rpn_bbox_unlabeled: 0.1123, loss_cls_unlabeled: 0.2385, acc_unlabeled: 90.6843, loss_bbox_unlabeled: 0.2285, losses_cls_ig_unlabeled: 0.1632, pseudo_num: 1.9634, pseudo_num_ig: 7.0057, pseudo_num_mining: 0.4095, pseudo_num(acc): 0.6305, pseudo_num ig(acc): 0.3233, loss: 1.3809
2021-11-06 11:34:32,216 - mmdet - INFO - Iter [2900/40000]	lr: 2.000e-02, eta: 19:17:17, time: 1.684, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0517, loss_cls: 0.1825, acc: 93.1089, loss_bbox: 0.2771, loss_rpn_cls_unlabeled: 0.1070, loss_rpn_bbox_unlabeled: 0.1168, loss_cls_unlabeled: 0.2362, acc_unlabeled: 90.5128, loss_bbox_unlabeled: 0.2312, losses_cls_ig_unlabeled: 0.1692, pseudo_num: 1.9653, pseudo_num_ig: 6.9821, pseudo_num_mining: 0.4098, pseudo_num(acc): 0.6315, pseudo_num ig(acc): 0.3240, loss: 1.4001
2021-11-06 11:35:55,489 - mmdet - INFO - Iter [2950/40000]	lr: 2.000e-02, eta: 19:13:34, time: 1.666, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0494, loss_cls: 0.1776, acc: 93.2906, loss_bbox: 0.2688, loss_rpn_cls_unlabeled: 0.1058, loss_rpn_bbox_unlabeled: 0.1122, loss_cls_unlabeled: 0.2411, acc_unlabeled: 90.6130, loss_bbox_unlabeled: 0.2319, losses_cls_ig_unlabeled: 0.1655, pseudo_num: 1.9678, pseudo_num_ig: 6.9585, pseudo_num_mining: 0.4097, pseudo_num(acc): 0.6322, pseudo_num ig(acc): 0.3246, loss: 1.3785
2021-11-06 11:37:20,180 - mmdet - INFO - pseudo pos: 0.98(5143.0-person) 0.82(163.0-bicycle) 0.90(1016.0-car) 0.93(193.0-motorcycle) 0.96(77.0-airplane) 0.97(147.0-bus) 0.98(121.0-train) 0.64(190.0-truck) 0.52(333.0-boat) 0.80(341.0-traffic light) 0.97(61.0-fire hydrant) 1.00(53.0-stop sign) 0.38(53.0-parking meter) 0.49(232.0-bench) 0.82(164.0-bird) 0.90(126.0-cat) 0.85(119.0-dog) 0.85(169.0-horse) 0.94(114.0-sheep) 0.68(277.0-cow) 0.98(84.0-elephant) 1.00(28.0-bear) 0.99(152.0-zebra) 0.99(147.0-giraffe) 0.34(196.0-backpack) 0.70(249.0-umbrella) 0.35(317.0-handbag) 0.69(183.0-tie) 0.49(180.0-suitcase) 0.88(59.0-frisbee) 0.36(207.0-skis) 0.04(512.0-snowboard) 0.95(131.0-sports ball) 0.72(187.0-kite) 0.73(78.0-baseball bat) 0.49(147.0-baseball glove) 0.85(121.0-skateboard) 0.76(152.0-surfboard) 0.91(81.0-tennis racket) 0.81(470.0-bottle) 0.81(162.0-wine glass) 0.75(586.0-cup) 0.23(186.0-fork) 0.19(333.0-knife) 0.17(206.0-spoon) 0.69(448.0-bowl) 0.50(239.0-banana) 0.18(529.0-apple) 0.18(572.0-sandwich) 0.23(277.0-orange) 0.69(151.0-broccoli) 0.40(201.0-carrot) 0.03(1429.0-hot dog) 0.90(143.0-pizza) 0.49(180.0-donut) 0.46(179.0-cake) 0.48(1353.0-chair) 0.52(166.0-couch) 0.57(273.0-potted plant) 0.80(107.0-bed) 0.63(498.0-dining table) 0.93(95.0-toilet) 0.86(146.0-tv) 0.90(134.0-laptop) 0.88(33.0-mouse) 0.43(138.0-remote) 0.74(84.0-keyboard) 0.59(175.0-cell phone) 0.90(52.0-microwave) 0.59(143.0-oven) 0.00(0.0-toaster) 0.74(147.0-sink) 0.67(69.0-refrigerator) 0.19(604.0-book) 0.94(104.0-clock) 0.72(149.0-vase) 0.57(37.0-scissors) 0.96(82.0-teddy bear) 0.00(0.0-hair drier) 0.12(131.0-toothbrush)
2021-11-06 11:37:20,181 - mmdet - INFO - pseudo ig: 0.59(20621.0-person) 0.28(617.0-bicycle) 0.39(4114.0-car) 0.46(769.0-motorcycle) 0.67(209.0-airplane) 0.52(508.0-bus) 0.43(439.0-train) 0.30(752.0-truck) 0.23(1337.0-boat) 0.18(1832.0-traffic light) 0.51(138.0-fire hydrant) 0.44(217.0-stop sign) 0.11(140.0-parking meter) 0.14(985.0-bench) 0.29(543.0-bird) 0.60(414.0-cat) 0.55(328.0-dog) 0.38(593.0-horse) 0.51(465.0-sheep) 0.24(964.0-cow) 0.77(337.0-elephant) 0.45(82.0-bear) 0.45(613.0-zebra) 0.70(482.0-giraffe) 0.16(787.0-backpack) 0.28(859.0-umbrella) 0.10(1250.0-handbag) 0.17(905.0-tie) 0.16(651.0-suitcase) 0.29(310.0-frisbee) 0.18(731.0-skis) 0.03(482.0-snowboard) 0.28(624.0-sports ball) 0.27(845.0-kite) 0.22(272.0-baseball bat) 0.12(673.0-baseball glove) 0.31(479.0-skateboard) 0.31(587.0-surfboard) 0.44(418.0-tennis racket) 0.27(2270.0-bottle) 0.31(608.0-wine glass) 0.22(2449.0-cup) 0.10(539.0-fork) 0.06(1196.0-knife) 0.05(995.0-spoon) 0.21(1832.0-bowl) 0.17(893.0-banana) 0.06(1094.0-apple) 0.11(732.0-sandwich) 0.14(329.0-orange) 0.24(791.0-broccoli) 0.12(1108.0-carrot) 0.00(7.0-hot dog) 0.45(486.0-pizza) 0.17(1009.0-donut) 0.13(577.0-cake) 0.15(6188.0-chair) 0.20(510.0-couch) 0.19(1238.0-potted plant) 0.38(391.0-bed) 0.24(1408.0-dining table) 0.56(331.0-toilet) 0.40(562.0-tv) 0.36(447.0-laptop) 0.34(132.0-mouse) 0.13(564.0-remote) 0.39(255.0-keyboard) 0.18(791.0-cell phone) 0.29(156.0-microwave) 0.16(379.0-oven) 0.00(0.0-toaster) 0.30(558.0-sink) 0.22(248.0-refrigerator) 0.14(2492.0-book) 0.50(545.0-clock) 0.29(472.0-vase) 0.16(139.0-scissors) 0.50(309.0-teddy bear) 0.00(0.0-hair drier) 0.04(327.0-toothbrush)
2021-11-06 11:37:20,181 - mmdet - INFO - pseudo gt: 25992.0 730.0 4594.0 972.0 516.0 652.0 467.0 1026.0 1176.0 1364.0 203.0 236.0 111.0 1087.0 1024.0 497.0 544.0 653.0 921.0 815.0 623.0 116.0 525.0 526.0 937.0 1033.0 1284.0 612.0 626.0 284.0 638.0 270.0 739.0 856.0 350.0 351.0 550.0 650.0 526.0 2307.0 874.0 1993.0 537.0 802.0 592.0 1336.0 908.0 529.0 400.0 622.0 735.0 760.0 272.0 648.0 661.0 585.0 3862.0 554.0 907.0 445.0 1516.0 414.0 632.0 540.0 265.0 583.0 309.0 707.0 168.0 309.0 21.0 571.0 243.0 2572.0 629.0 664.0 151.0 552.0 25.0 221.0
2021-11-06 11:37:20,181 - mmdet - INFO - pseudo mining: 3037.0 9.0 242.0 20.0 16.0 16.0 12.0 6.0 21.0 49.0 20.0 81.0 0.0 1.0 0.0 22.0 3.0 15.0 31.0 10.0 89.0 1.0 69.0 100.0 2.0 31.0 0.0 11.0 1.0 20.0 1.0 0.0 72.0 95.0 13.0 16.0 8.0 2.0 58.0 91.0 5.0 28.0 0.0 1.0 0.0 36.0 7.0 6.0 0.0 9.0 18.0 6.0 0.0 14.0 1.0 0.0 6.0 1.0 18.0 1.0 18.0 53.0 64.0 10.0 13.0 5.0 6.0 9.0 4.0 0.0 0.0 14.0 1.0 9.0 212.0 6.0 0.0 24.0 0.0 0.0
2021-11-06 11:38:47,865 - mmdet - INFO - current percent: 0.2
2021-11-06 11:38:47,867 - mmdet - INFO - update score thr (positive): (0.99-person) (0.97-bicycle) (0.99-car) (0.99-motorcycle) (0.99-airplane) (1.00-bus) (0.99-train) (0.93-truck) (0.97-boat) (0.96-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.79-parking meter) (0.90-bench) (0.95-bird) (0.99-cat) (0.97-dog) (0.99-horse) (0.99-sheep) (0.93-cow) (0.99-elephant) (0.98-bear) (0.99-zebra) (0.99-giraffe) (0.83-backpack) (0.98-umbrella) (0.72-handbag) (0.94-tie) (0.88-suitcase) (0.98-frisbee) (0.93-skis) (0.36-snowboard) (0.99-sports ball) (0.97-kite) (0.96-baseball bat) (0.97-baseball glove) (0.96-skateboard) (0.94-surfboard) (0.99-tennis racket) (0.97-bottle) (0.95-wine glass) (0.96-cup) (0.92-fork) (0.83-knife) (0.77-spoon) (0.96-bowl) (0.95-banana) (0.94-apple) (0.98-sandwich) (0.41-orange) (0.96-broccoli) (0.92-carrot) (0.05-hot dog) (0.97-pizza) (0.78-donut) (0.83-cake) (0.89-chair) (0.93-couch) (0.96-potted plant) (0.96-bed) (0.96-dining table) (1.00-toilet) (0.98-tv) (0.99-laptop) (0.99-mouse) (0.85-remote) (0.98-keyboard) (0.96-cell phone) (0.97-microwave) (0.93-oven) (0.05-toaster) (0.97-sink) (0.94-refrigerator) (0.84-book) (1.00-clock) (0.94-vase) (0.87-scissors) (0.99-teddy bear) (0.05-hair drier) (0.72-toothbrush)
2021-11-06 11:38:47,867 - mmdet - INFO - update score thr (ignore): (0.35-person) (0.35-bicycle) (0.43-car) (0.51-motorcycle) (0.64-airplane) (0.53-bus) (0.41-train) (0.38-truck) (0.44-boat) (0.41-traffic light) (0.46-fire hydrant) (0.78-stop sign) (0.21-parking meter) (0.34-bench) (0.16-bird) (0.45-cat) (0.41-dog) (0.40-horse) (0.77-sheep) (0.34-cow) (0.46-elephant) (0.37-bear) (0.17-zebra) (0.30-giraffe) (0.34-backpack) (0.44-umbrella) (0.26-handbag) (0.33-tie) (0.26-suitcase) (0.46-frisbee) (0.57-skis) (0.14-snowboard) (0.35-sports ball) (0.40-kite) (0.39-baseball bat) (0.45-baseball glove) (0.36-skateboard) (0.35-surfboard) (0.62-tennis racket) (0.41-bottle) (0.21-wine glass) (0.33-cup) (0.27-fork) (0.35-knife) (0.28-spoon) (0.41-bowl) (0.43-banana) (0.74-apple) (0.91-sandwich) (0.17-orange) (0.48-broccoli) (0.54-carrot) (0.05-hot dog) (0.46-pizza) (0.27-donut) (0.31-cake) (0.27-chair) (0.53-couch) (0.47-potted plant) (0.50-bed) (0.52-dining table) (0.59-toilet) (0.57-tv) (0.61-laptop) (0.72-mouse) (0.32-remote) (0.51-keyboard) (0.43-cell phone) (0.42-microwave) (0.49-oven) (0.05-toaster) (0.38-sink) (0.47-refrigerator) (0.34-book) (0.67-clock) (0.30-vase) (0.28-scissors) (0.77-teddy bear) (0.05-hair drier) (0.33-toothbrush)
2021-11-06 11:38:48,185 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 11:38:48,185 - mmdet - INFO - Iter [3000/40000]	lr: 2.000e-02, eta: 19:10:32, time: 1.724, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0531, loss_cls: 0.1803, acc: 93.2067, loss_bbox: 0.2734, loss_rpn_cls_unlabeled: 0.1087, loss_rpn_bbox_unlabeled: 0.1136, loss_cls_unlabeled: 0.2396, acc_unlabeled: 90.7915, loss_bbox_unlabeled: 0.2352, losses_cls_ig_unlabeled: 0.1639, pseudo_num: 1.9708, pseudo_num_ig: 6.9366, pseudo_num_mining: 0.4100, pseudo_num(acc): 0.6327, pseudo_num ig(acc): 0.3253, loss: 1.3961
2021-11-06 11:40:13,099 - mmdet - INFO - Iter [3050/40000]	lr: 2.000e-02, eta: 19:24:43, time: 3.425, data_time: 1.757, memory: 26488, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0520, loss_cls: 0.1788, acc: 93.3027, loss_bbox: 0.2711, loss_rpn_cls_unlabeled: 0.1031, loss_rpn_bbox_unlabeled: 0.1054, loss_cls_unlabeled: 0.1897, acc_unlabeled: 90.8472, loss_bbox_unlabeled: 0.1693, losses_cls_ig_unlabeled: 0.1840, pseudo_num: 1.9681, pseudo_num_ig: 6.9162, pseudo_num_mining: 0.4114, pseudo_num(acc): 0.6338, pseudo_num ig(acc): 0.3262, loss: 1.2823
2021-11-06 11:41:36,605 - mmdet - INFO - Iter [3100/40000]	lr: 2.000e-02, eta: 19:20:58, time: 1.671, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0523, loss_cls: 0.1713, acc: 93.5822, loss_bbox: 0.2646, loss_rpn_cls_unlabeled: 0.1084, loss_rpn_bbox_unlabeled: 0.1074, loss_cls_unlabeled: 0.1901, acc_unlabeled: 90.8008, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1769, pseudo_num: 1.9591, pseudo_num_ig: 6.8995, pseudo_num_mining: 0.4141, pseudo_num(acc): 0.6360, pseudo_num ig(acc): 0.3272, loss: 1.2749
2021-11-06 11:43:01,069 - mmdet - INFO - Iter [3150/40000]	lr: 2.000e-02, eta: 19:17:29, time: 1.692, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0503, loss_cls: 0.1714, acc: 93.5342, loss_bbox: 0.2654, loss_rpn_cls_unlabeled: 0.1058, loss_rpn_bbox_unlabeled: 0.1086, loss_cls_unlabeled: 0.1945, acc_unlabeled: 90.8547, loss_bbox_unlabeled: 0.1834, losses_cls_ig_unlabeled: 0.1790, pseudo_num: 1.9514, pseudo_num_ig: 6.8838, pseudo_num_mining: 0.4164, pseudo_num(acc): 0.6381, pseudo_num ig(acc): 0.3282, loss: 1.2862
2021-11-06 11:44:24,646 - mmdet - INFO - Iter [3200/40000]	lr: 2.000e-02, eta: 19:13:50, time: 1.669, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0511, loss_cls: 0.1668, acc: 93.6910, loss_bbox: 0.2610, loss_rpn_cls_unlabeled: 0.1005, loss_rpn_bbox_unlabeled: 0.1032, loss_cls_unlabeled: 0.1865, acc_unlabeled: 90.8862, loss_bbox_unlabeled: 0.1768, losses_cls_ig_unlabeled: 0.1759, pseudo_num: 1.9445, pseudo_num_ig: 6.8655, pseudo_num_mining: 0.4183, pseudo_num(acc): 0.6400, pseudo_num ig(acc): 0.3291, loss: 1.2489
2021-11-06 11:45:50,107 - mmdet - INFO - Iter [3250/40000]	lr: 2.000e-02, eta: 19:10:40, time: 1.711, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0507, loss_cls: 0.1618, acc: 93.8307, loss_bbox: 0.2610, loss_rpn_cls_unlabeled: 0.1039, loss_rpn_bbox_unlabeled: 0.1069, loss_cls_unlabeled: 0.1844, acc_unlabeled: 91.2986, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1664, pseudo_num: 1.9377, pseudo_num_ig: 6.8472, pseudo_num_mining: 0.4202, pseudo_num(acc): 0.6420, pseudo_num ig(acc): 0.3300, loss: 1.2356
2021-11-06 11:47:15,979 - mmdet - INFO - Iter [3300/40000]	lr: 2.000e-02, eta: 19:07:36, time: 1.716, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0498, loss_cls: 0.1582, acc: 93.9854, loss_bbox: 0.2516, loss_rpn_cls_unlabeled: 0.1005, loss_rpn_bbox_unlabeled: 0.1062, loss_cls_unlabeled: 0.1839, acc_unlabeled: 91.0201, loss_bbox_unlabeled: 0.1751, losses_cls_ig_unlabeled: 0.1725, pseudo_num: 1.9311, pseudo_num_ig: 6.8285, pseudo_num_mining: 0.4224, pseudo_num(acc): 0.6439, pseudo_num ig(acc): 0.3309, loss: 1.2241
2021-11-06 11:48:39,222 - mmdet - INFO - Iter [3350/40000]	lr: 2.000e-02, eta: 19:04:06, time: 1.665, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0496, loss_cls: 0.1605, acc: 93.9449, loss_bbox: 0.2552, loss_rpn_cls_unlabeled: 0.1017, loss_rpn_bbox_unlabeled: 0.1058, loss_cls_unlabeled: 0.2008, acc_unlabeled: 90.9290, loss_bbox_unlabeled: 0.1920, losses_cls_ig_unlabeled: 0.1711, pseudo_num: 1.9256, pseudo_num_ig: 6.8118, pseudo_num_mining: 0.4238, pseudo_num(acc): 0.6457, pseudo_num ig(acc): 0.3319, loss: 1.2639
2021-11-06 11:50:03,510 - mmdet - INFO - Iter [3400/40000]	lr: 2.000e-02, eta: 19:00:51, time: 1.685, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0481, loss_cls: 0.1641, acc: 93.8033, loss_bbox: 0.2611, loss_rpn_cls_unlabeled: 0.0984, loss_rpn_bbox_unlabeled: 0.1030, loss_cls_unlabeled: 0.1954, acc_unlabeled: 90.8909, loss_bbox_unlabeled: 0.1829, losses_cls_ig_unlabeled: 0.1738, pseudo_num: 1.9203, pseudo_num_ig: 6.7942, pseudo_num_mining: 0.4254, pseudo_num(acc): 0.6474, pseudo_num ig(acc): 0.3327, loss: 1.2517
2021-11-06 11:51:27,853 - mmdet - INFO - Iter [3450/40000]	lr: 2.000e-02, eta: 18:57:42, time: 1.690, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0504, loss_cls: 0.1630, acc: 93.8615, loss_bbox: 0.2588, loss_rpn_cls_unlabeled: 0.1029, loss_rpn_bbox_unlabeled: 0.1109, loss_cls_unlabeled: 0.2003, acc_unlabeled: 91.0195, loss_bbox_unlabeled: 0.1896, losses_cls_ig_unlabeled: 0.1697, pseudo_num: 1.9160, pseudo_num_ig: 6.7790, pseudo_num_mining: 0.4271, pseudo_num(acc): 0.6490, pseudo_num ig(acc): 0.3336, loss: 1.2725
2021-11-06 11:52:50,139 - mmdet - INFO - pseudo pos: 0.98(6172.0-person) 0.83(183.0-bicycle) 0.90(1157.0-car) 0.93(215.0-motorcycle) 0.97(90.0-airplane) 0.98(161.0-bus) 0.99(141.0-train) 0.64(226.0-truck) 0.53(348.0-boat) 0.81(394.0-traffic light) 0.97(65.0-fire hydrant) 1.00(65.0-stop sign) 0.39(57.0-parking meter) 0.47(273.0-bench) 0.82(202.0-bird) 0.91(141.0-cat) 0.85(143.0-dog) 0.87(196.0-horse) 0.95(136.0-sheep) 0.70(313.0-cow) 0.98(100.0-elephant) 1.00(33.0-bear) 0.98(174.0-zebra) 0.99(175.0-giraffe) 0.34(234.0-backpack) 0.72(276.0-umbrella) 0.36(377.0-handbag) 0.71(204.0-tie) 0.50(203.0-suitcase) 0.89(70.0-frisbee) 0.39(230.0-skis) 0.04(520.0-snowboard) 0.95(148.0-sports ball) 0.73(212.0-kite) 0.74(87.0-baseball bat) 0.54(163.0-baseball glove) 0.86(149.0-skateboard) 0.76(174.0-surfboard) 0.92(95.0-tennis racket) 0.82(553.0-bottle) 0.83(181.0-wine glass) 0.77(677.0-cup) 0.25(197.0-fork) 0.19(362.0-knife) 0.18(218.0-spoon) 0.68(529.0-bowl) 0.52(258.0-banana) 0.19(549.0-apple) 0.19(581.0-sandwich) 0.22(317.0-orange) 0.67(181.0-broccoli) 0.41(217.0-carrot) 0.04(1512.0-hot dog) 0.90(166.0-pizza) 0.51(238.0-donut) 0.47(192.0-cake) 0.49(1493.0-chair) 0.52(180.0-couch) 0.58(303.0-potted plant) 0.82(120.0-bed) 0.64(584.0-dining table) 0.91(104.0-toilet) 0.88(171.0-tv) 0.91(149.0-laptop) 0.90(39.0-mouse) 0.45(150.0-remote) 0.74(102.0-keyboard) 0.61(202.0-cell phone) 0.91(58.0-microwave) 0.61(156.0-oven) 0.00(0.0-toaster) 0.72(170.0-sink) 0.73(86.0-refrigerator) 0.20(693.0-book) 0.93(121.0-clock) 0.74(170.0-vase) 0.57(40.0-scissors) 0.96(92.0-teddy bear) 0.00(0.0-hair drier) 0.12(139.0-toothbrush)
2021-11-06 11:52:50,140 - mmdet - INFO - pseudo ig: 0.58(24527.0-person) 0.28(715.0-bicycle) 0.40(4632.0-car) 0.47(836.0-motorcycle) 0.66(238.0-airplane) 0.53(578.0-bus) 0.44(518.0-train) 0.29(910.0-truck) 0.23(1436.0-boat) 0.20(2048.0-traffic light) 0.51(168.0-fire hydrant) 0.44(250.0-stop sign) 0.11(157.0-parking meter) 0.15(1129.0-bench) 0.29(663.0-bird) 0.60(497.0-cat) 0.56(409.0-dog) 0.39(673.0-horse) 0.53(559.0-sheep) 0.25(1117.0-cow) 0.75(409.0-elephant) 0.46(99.0-bear) 0.45(717.0-zebra) 0.70(548.0-giraffe) 0.17(909.0-backpack) 0.29(989.0-umbrella) 0.10(1423.0-handbag) 0.17(976.0-tie) 0.16(730.0-suitcase) 0.29(352.0-frisbee) 0.20(811.0-skis) 0.04(512.0-snowboard) 0.30(718.0-sports ball) 0.27(940.0-kite) 0.22(313.0-baseball bat) 0.12(741.0-baseball glove) 0.31(537.0-skateboard) 0.31(658.0-surfboard) 0.46(457.0-tennis racket) 0.27(2529.0-bottle) 0.31(689.0-wine glass) 0.23(2757.0-cup) 0.10(586.0-fork) 0.07(1311.0-knife) 0.06(1072.0-spoon) 0.22(2092.0-bowl) 0.18(982.0-banana) 0.06(1177.0-apple) 0.12(750.0-sandwich) 0.15(393.0-orange) 0.24(903.0-broccoli) 0.13(1207.0-carrot) 0.00(7.0-hot dog) 0.45(572.0-pizza) 0.19(1138.0-donut) 0.13(641.0-cake) 0.16(6971.0-chair) 0.22(574.0-couch) 0.20(1336.0-potted plant) 0.40(447.0-bed) 0.24(1621.0-dining table) 0.55(395.0-toilet) 0.41(674.0-tv) 0.38(506.0-laptop) 0.37(152.0-mouse) 0.14(618.0-remote) 0.40(296.0-keyboard) 0.19(892.0-cell phone) 0.29(194.0-microwave) 0.16(433.0-oven) 0.00(0.0-toaster) 0.30(637.0-sink) 0.22(301.0-refrigerator) 0.14(2848.0-book) 0.52(618.0-clock) 0.31(547.0-vase) 0.18(147.0-scissors) 0.50(349.0-teddy bear) 0.00(0.0-hair drier) 0.04(347.0-toothbrush)
2021-11-06 11:52:50,141 - mmdet - INFO - pseudo gt: 30663.0 845.0 5312.0 1114.0 573.0 751.0 558.0 1182.0 1322.0 1596.0 233.0 280.0 126.0 1289.0 1202.0 599.0 678.0 780.0 1109.0 921.0 724.0 134.0 606.0 606.0 1096.0 1168.0 1503.0 740.0 712.0 323.0 746.0 339.0 856.0 947.0 419.0 412.0 646.0 752.0 603.0 2699.0 971.0 2374.0 642.0 916.0 661.0 1580.0 1077.0 640.0 457.0 694.0 845.0 947.0 364.0 774.0 825.0 677.0 4563.0 637.0 1038.0 520.0 1780.0 472.0 739.0 636.0 304.0 687.0 368.0 809.0 200.0 367.0 25.0 656.0 283.0 3098.0 748.0 771.0 187.0 614.0 25.0 263.0
2021-11-06 11:52:50,141 - mmdet - INFO - pseudo mining: 3615.0 9.0 311.0 24.0 18.0 28.0 17.0 10.0 27.0 70.0 23.0 100.0 0.0 1.0 3.0 28.0 4.0 22.0 60.0 11.0 102.0 1.0 86.0 121.0 2.0 43.0 0.0 11.0 2.0 27.0 5.0 0.0 101.0 103.0 15.0 20.0 9.0 5.0 75.0 108.0 6.0 39.0 1.0 2.0 0.0 48.0 12.0 26.0 6.0 9.0 28.0 14.0 0.0 20.0 1.0 0.0 8.0 1.0 24.0 1.0 20.0 64.0 73.0 18.0 21.0 8.0 6.0 10.0 5.0 0.0 0.0 15.0 1.0 13.0 258.0 8.0 0.0 32.0 0.0 0.0
2021-11-06 11:52:51,812 - mmdet - INFO - Iter [3500/40000]	lr: 2.000e-02, eta: 18:54:30, time: 1.678, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0525, loss_cls: 0.1732, acc: 93.5233, loss_bbox: 0.2653, loss_rpn_cls_unlabeled: 0.1047, loss_rpn_bbox_unlabeled: 0.1069, loss_cls_unlabeled: 0.2061, acc_unlabeled: 90.9326, loss_bbox_unlabeled: 0.1958, losses_cls_ig_unlabeled: 0.1674, pseudo_num: 1.9128, pseudo_num_ig: 6.7615, pseudo_num_mining: 0.4288, pseudo_num(acc): 0.6500, pseudo_num ig(acc): 0.3345, loss: 1.2991
2021-11-06 11:54:18,240 - mmdet - INFO - Iter [3550/40000]	lr: 2.000e-02, eta: 18:51:47, time: 1.728, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0485, loss_cls: 0.1648, acc: 93.7098, loss_bbox: 0.2598, loss_rpn_cls_unlabeled: 0.1021, loss_rpn_bbox_unlabeled: 0.1088, loss_cls_unlabeled: 0.2114, acc_unlabeled: 90.8890, loss_bbox_unlabeled: 0.2007, losses_cls_ig_unlabeled: 0.1656, pseudo_num: 1.9104, pseudo_num_ig: 6.7435, pseudo_num_mining: 0.4301, pseudo_num(acc): 0.6508, pseudo_num ig(acc): 0.3353, loss: 1.2878
2021-11-06 11:55:43,441 - mmdet - INFO - Iter [3600/40000]	lr: 2.000e-02, eta: 18:48:53, time: 1.703, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0480, loss_cls: 0.1653, acc: 93.7437, loss_bbox: 0.2533, loss_rpn_cls_unlabeled: 0.1023, loss_rpn_bbox_unlabeled: 0.1119, loss_cls_unlabeled: 0.2308, acc_unlabeled: 90.7729, loss_bbox_unlabeled: 0.2221, losses_cls_ig_unlabeled: 0.1618, pseudo_num: 1.9106, pseudo_num_ig: 6.7268, pseudo_num_mining: 0.4313, pseudo_num(acc): 0.6508, pseudo_num ig(acc): 0.3361, loss: 1.3211
2021-11-06 11:57:08,476 - mmdet - INFO - Iter [3650/40000]	lr: 2.000e-02, eta: 18:46:00, time: 1.701, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0519, loss_cls: 0.1718, acc: 93.5316, loss_bbox: 0.2588, loss_rpn_cls_unlabeled: 0.1043, loss_rpn_bbox_unlabeled: 0.1130, loss_cls_unlabeled: 0.2500, acc_unlabeled: 90.4550, loss_bbox_unlabeled: 0.2373, losses_cls_ig_unlabeled: 0.1642, pseudo_num: 1.9141, pseudo_num_ig: 6.7087, pseudo_num_mining: 0.4323, pseudo_num(acc): 0.6496, pseudo_num ig(acc): 0.3368, loss: 1.3776
2021-11-06 11:59:48,444 - mmdet - INFO - Iter [3700/40000]	lr: 2.000e-02, eta: 18:55:24, time: 3.199, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0498, loss_cls: 0.1744, acc: 93.4995, loss_bbox: 0.2641, loss_rpn_cls_unlabeled: 0.1139, loss_rpn_bbox_unlabeled: 0.1168, loss_cls_unlabeled: 0.2647, acc_unlabeled: 90.3741, loss_bbox_unlabeled: 0.2569, losses_cls_ig_unlabeled: 0.1662, pseudo_num: 1.9213, pseudo_num_ig: 6.6934, pseudo_num_mining: 0.4332, pseudo_num(acc): 0.6472, pseudo_num ig(acc): 0.3374, loss: 1.4350
2021-11-06 12:01:12,829 - mmdet - INFO - Iter [3750/40000]	lr: 2.000e-02, eta: 18:52:19, time: 1.688, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0523, loss_cls: 0.1768, acc: 93.4384, loss_bbox: 0.2592, loss_rpn_cls_unlabeled: 0.1052, loss_rpn_bbox_unlabeled: 0.1112, loss_cls_unlabeled: 0.2689, acc_unlabeled: 90.4985, loss_bbox_unlabeled: 0.2706, losses_cls_ig_unlabeled: 0.1577, pseudo_num: 1.9297, pseudo_num_ig: 6.6771, pseudo_num_mining: 0.4347, pseudo_num(acc): 0.6449, pseudo_num ig(acc): 0.3381, loss: 1.4277
2021-11-06 12:02:36,501 - mmdet - INFO - Iter [3800/40000]	lr: 2.000e-02, eta: 18:49:10, time: 1.673, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0481, loss_cls: 0.1730, acc: 93.5709, loss_bbox: 0.2562, loss_rpn_cls_unlabeled: 0.1184, loss_rpn_bbox_unlabeled: 0.1286, loss_cls_unlabeled: 0.2942, acc_unlabeled: 90.2557, loss_bbox_unlabeled: 0.3056, losses_cls_ig_unlabeled: 0.1530, pseudo_num: 1.9434, pseudo_num_ig: 6.6629, pseudo_num_mining: 0.4364, pseudo_num(acc): 0.6410, pseudo_num ig(acc): 0.3389, loss: 1.5027
2021-11-06 12:04:00,786 - mmdet - INFO - Iter [3850/40000]	lr: 2.000e-02, eta: 18:46:07, time: 1.681, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0519, loss_cls: 0.1910, acc: 93.0327, loss_bbox: 0.2711, loss_rpn_cls_unlabeled: 0.1073, loss_rpn_bbox_unlabeled: 0.1228, loss_cls_unlabeled: 0.3083, acc_unlabeled: 90.0920, loss_bbox_unlabeled: 0.3142, losses_cls_ig_unlabeled: 0.1515, pseudo_num: 1.9604, pseudo_num_ig: 6.6479, pseudo_num_mining: 0.4375, pseudo_num(acc): 0.6363, pseudo_num ig(acc): 0.3395, loss: 1.5472
2021-11-06 12:05:25,119 - mmdet - INFO - Iter [3900/40000]	lr: 2.000e-02, eta: 18:43:11, time: 1.691, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0503, loss_cls: 0.1834, acc: 93.2135, loss_bbox: 0.2617, loss_rpn_cls_unlabeled: 0.1129, loss_rpn_bbox_unlabeled: 0.1269, loss_cls_unlabeled: 0.3130, acc_unlabeled: 89.9143, loss_bbox_unlabeled: 0.3340, losses_cls_ig_unlabeled: 0.1447, pseudo_num: 1.9810, pseudo_num_ig: 6.6318, pseudo_num_mining: 0.4385, pseudo_num(acc): 0.6302, pseudo_num ig(acc): 0.3403, loss: 1.5552
2021-11-06 12:06:51,489 - mmdet - INFO - Iter [3950/40000]	lr: 2.000e-02, eta: 18:40:34, time: 1.727, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0496, loss_cls: 0.1815, acc: 93.4117, loss_bbox: 0.2474, loss_rpn_cls_unlabeled: 0.1164, loss_rpn_bbox_unlabeled: 0.1356, loss_cls_unlabeled: 0.3539, acc_unlabeled: 89.5312, loss_bbox_unlabeled: 0.3746, losses_cls_ig_unlabeled: 0.1386, pseudo_num: 2.0087, pseudo_num_ig: 6.6165, pseudo_num_mining: 0.4394, pseudo_num(acc): 0.6219, pseudo_num ig(acc): 0.3410, loss: 1.6270
2021-11-06 12:08:14,511 - mmdet - INFO - pseudo pos: 0.98(7219.0-person) 0.82(211.0-bicycle) 0.91(1298.0-car) 0.93(243.0-motorcycle) 0.97(108.0-airplane) 0.98(177.0-bus) 0.98(160.0-train) 0.65(271.0-truck) 0.55(371.0-boat) 0.82(439.0-traffic light) 0.97(71.0-fire hydrant) 1.00(70.0-stop sign) 0.44(71.0-parking meter) 0.50(308.0-bench) 0.82(231.0-bird) 0.92(166.0-cat) 0.87(161.0-dog) 0.87(209.0-horse) 0.94(146.0-sheep) 0.70(351.0-cow) 0.98(115.0-elephant) 1.00(36.0-bear) 0.98(196.0-zebra) 0.99(201.0-giraffe) 0.33(267.0-backpack) 0.75(331.0-umbrella) 0.36(426.0-handbag) 0.73(230.0-tie) 0.53(237.0-suitcase) 0.89(83.0-frisbee) 0.40(242.0-skis) 0.05(547.0-snowboard) 0.95(173.0-sports ball) 0.74(253.0-kite) 0.75(102.0-baseball bat) 0.57(181.0-baseball glove) 0.87(173.0-skateboard) 0.78(196.0-surfboard) 0.92(115.0-tennis racket) 0.81(616.0-bottle) 0.83(199.0-wine glass) 0.77(744.0-cup) 0.25(201.0-fork) 0.21(393.0-knife) 0.19(229.0-spoon) 0.69(595.0-bowl) 0.52(266.0-banana) 0.20(562.0-apple) 0.19(581.0-sandwich) 0.20(441.0-orange) 0.68(192.0-broccoli) 0.42(225.0-carrot) 0.02(4735.0-hot dog) 0.91(183.0-pizza) 0.53(259.0-donut) 0.47(212.0-cake) 0.50(1675.0-chair) 0.54(197.0-couch) 0.61(361.0-potted plant) 0.83(134.0-bed) 0.65(646.0-dining table) 0.91(128.0-toilet) 0.89(203.0-tv) 0.91(164.0-laptop) 0.90(42.0-mouse) 0.44(165.0-remote) 0.74(110.0-keyboard) 0.59(234.0-cell phone) 0.89(66.0-microwave) 0.59(186.0-oven) 0.00(0.0-toaster) 0.75(209.0-sink) 0.74(102.0-refrigerator) 0.20(769.0-book) 0.93(136.0-clock) 0.74(194.0-vase) 0.60(43.0-scissors) 0.96(97.0-teddy bear) 0.00(0.0-hair drier) 0.12(141.0-toothbrush)
2021-11-06 12:08:14,511 - mmdet - INFO - pseudo ig: 0.58(28358.0-person) 0.29(833.0-bicycle) 0.41(5235.0-car) 0.47(934.0-motorcycle) 0.65(288.0-airplane) 0.56(663.0-bus) 0.44(598.0-train) 0.30(1030.0-truck) 0.24(1537.0-boat) 0.20(2173.0-traffic light) 0.55(195.0-fire hydrant) 0.45(271.0-stop sign) 0.12(185.0-parking meter) 0.15(1262.0-bench) 0.31(772.0-bird) 0.61(569.0-cat) 0.57(479.0-dog) 0.41(760.0-horse) 0.53(602.0-sheep) 0.25(1228.0-cow) 0.74(441.0-elephant) 0.50(111.0-bear) 0.46(865.0-zebra) 0.69(628.0-giraffe) 0.17(1030.0-backpack) 0.30(1113.0-umbrella) 0.10(1585.0-handbag) 0.19(1096.0-tie) 0.17(818.0-suitcase) 0.29(387.0-frisbee) 0.21(859.0-skis) 0.05(566.0-snowboard) 0.30(784.0-sports ball) 0.27(1099.0-kite) 0.23(351.0-baseball bat) 0.13(794.0-baseball glove) 0.30(604.0-skateboard) 0.31(738.0-surfboard) 0.48(495.0-tennis racket) 0.28(2855.0-bottle) 0.31(759.0-wine glass) 0.24(3056.0-cup) 0.12(612.0-fork) 0.08(1422.0-knife) 0.06(1130.0-spoon) 0.23(2325.0-bowl) 0.19(1056.0-banana) 0.07(1193.0-apple) 0.12(755.0-sandwich) 0.13(508.0-orange) 0.25(975.0-broccoli) 0.13(1260.0-carrot) 0.00(7.0-hot dog) 0.47(630.0-pizza) 0.19(1216.0-donut) 0.15(711.0-cake) 0.16(7764.0-chair) 0.24(654.0-couch) 0.21(1480.0-potted plant) 0.39(492.0-bed) 0.25(1807.0-dining table) 0.57(442.0-toilet) 0.40(770.0-tv) 0.40(550.0-laptop) 0.39(161.0-mouse) 0.15(667.0-remote) 0.41(330.0-keyboard) 0.18(988.0-cell phone) 0.29(226.0-microwave) 0.16(503.0-oven) 0.00(0.0-toaster) 0.30(742.0-sink) 0.24(343.0-refrigerator) 0.14(3156.0-book) 0.52(702.0-clock) 0.30(624.0-vase) 0.18(153.0-scissors) 0.52(376.0-teddy bear) 0.00(0.0-hair drier) 0.04(360.0-toothbrush)
2021-11-06 12:08:14,512 - mmdet - INFO - pseudo gt: 35383.0 985.0 6080.0 1246.0 688.0 872.0 642.0 1348.0 1503.0 1795.0 275.0 303.0 157.0 1496.0 1431.0 679.0 762.0 876.0 1220.0 1045.0 780.0 151.0 729.0 702.0 1246.0 1355.0 1755.0 877.0 834.0 365.0 833.0 373.0 936.0 1108.0 481.0 463.0 739.0 847.0 689.0 3071.0 1062.0 2719.0 721.0 1042.0 772.0 1789.0 1220.0 733.0 534.0 768.0 923.0 1055.0 411.0 872.0 932.0 774.0 5324.0 752.0 1224.0 594.0 2083.0 553.0 854.0 726.0 331.0 805.0 414.0 893.0 229.0 425.0 29.0 769.0 348.0 3481.0 855.0 872.0 214.0 691.0 28.0 289.0
2021-11-06 12:08:14,512 - mmdet - INFO - pseudo mining: 4201.0 11.0 388.0 31.0 25.0 37.0 22.0 11.0 31.0 77.0 34.0 108.0 0.0 1.0 4.0 32.0 4.0 28.0 79.0 11.0 105.0 1.0 108.0 149.0 2.0 51.0 1.0 18.0 2.0 31.0 7.0 0.0 119.0 124.0 16.0 24.0 10.0 9.0 89.0 127.0 6.0 57.0 1.0 3.0 0.0 55.0 14.0 26.0 7.0 9.0 28.0 14.0 0.0 23.0 1.0 0.0 10.0 1.0 31.0 3.0 24.0 78.0 86.0 27.0 26.0 8.0 7.0 12.0 10.0 2.0 0.0 16.0 1.0 13.0 303.0 8.0 0.0 34.0 0.0 0.0
2021-11-06 12:09:10,827 - mmdet - INFO - Evaluating bbox...
2021-11-06 12:10:14,462 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.352 | bicycle      | 0.139 | car            | 0.260 |
| motorcycle    | 0.207 | airplane     | 0.233 | bus            | 0.356 |
| train         | 0.321 | truck        | 0.109 | boat           | 0.078 |
| traffic light | 0.159 | fire hydrant | 0.363 | stop sign      | 0.463 |
| parking meter | 0.251 | bench        | 0.079 | bird           | 0.119 |
| cat           | 0.325 | dog          | 0.300 | horse          | 0.268 |
| sheep         | 0.204 | cow          | 0.186 | elephant       | 0.311 |
| bear          | 0.287 | zebra        | 0.394 | giraffe        | 0.420 |
| backpack      | 0.032 | umbrella     | 0.121 | handbag        | 0.029 |
| tie           | 0.127 | suitcase     | 0.058 | frisbee        | 0.250 |
| skis          | 0.044 | snowboard    | 0.026 | sports ball    | 0.256 |
| kite          | 0.170 | baseball bat | 0.072 | baseball glove | 0.165 |
| skateboard    | 0.178 | surfboard    | 0.108 | tennis racket  | 0.207 |
| bottle        | 0.177 | wine glass   | 0.123 | cup            | 0.195 |
| fork          | 0.010 | knife        | 0.017 | spoon          | 0.007 |
| bowl          | 0.192 | banana       | 0.050 | apple          | 0.060 |
| sandwich      | 0.104 | orange       | 0.105 | broccoli       | 0.081 |
| carrot        | 0.018 | hot dog      | 0.003 | pizza          | 0.223 |
| donut         | 0.095 | cake         | 0.057 | chair          | 0.084 |
| couch         | 0.130 | potted plant | 0.075 | bed            | 0.177 |
| dining table  | 0.107 | toilet       | 0.278 | tv             | 0.280 |
| laptop        | 0.277 | mouse        | 0.295 | remote         | 0.059 |
| keyboard      | 0.186 | cell phone   | 0.132 | microwave      | 0.273 |
| oven          | 0.123 | toaster      | 0.000 | sink           | 0.136 |
| refrigerator  | 0.150 | book         | 0.021 | clock          | 0.342 |
| vase          | 0.144 | scissors     | 0.053 | teddy bear     | 0.156 |
| hair drier    | 0.000 | toothbrush   | 0.024 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 12:11:09,986 - mmdet - INFO - Evaluating bbox...
2021-11-06 12:12:20,338 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.381 | bicycle      | 0.150 | car            | 0.279 |
| motorcycle    | 0.227 | airplane     | 0.281 | bus            | 0.415 |
| train         | 0.338 | truck        | 0.129 | boat           | 0.105 |
| traffic light | 0.183 | fire hydrant | 0.399 | stop sign      | 0.473 |
| parking meter | 0.226 | bench        | 0.098 | bird           | 0.152 |
| cat           | 0.381 | dog          | 0.318 | horse          | 0.338 |
| sheep         | 0.250 | cow          | 0.252 | elephant       | 0.381 |
| bear          | 0.447 | zebra        | 0.412 | giraffe        | 0.466 |
| backpack      | 0.041 | umbrella     | 0.151 | handbag        | 0.039 |
| tie           | 0.144 | suitcase     | 0.081 | frisbee        | 0.347 |
| skis          | 0.064 | snowboard    | 0.052 | sports ball    | 0.311 |
| kite          | 0.215 | baseball bat | 0.099 | baseball glove | 0.200 |
| skateboard    | 0.220 | surfboard    | 0.133 | tennis racket  | 0.221 |
| bottle        | 0.212 | wine glass   | 0.162 | cup            | 0.245 |
| fork          | 0.027 | knife        | 0.028 | spoon          | 0.013 |
| bowl          | 0.247 | banana       | 0.085 | apple          | 0.090 |
| sandwich      | 0.137 | orange       | 0.135 | broccoli       | 0.120 |
| carrot        | 0.048 | hot dog      | 0.010 | pizza          | 0.298 |
| donut         | 0.172 | cake         | 0.075 | chair          | 0.099 |
| couch         | 0.153 | potted plant | 0.115 | bed            | 0.207 |
| dining table  | 0.110 | toilet       | 0.328 | tv             | 0.338 |
| laptop        | 0.305 | mouse        | 0.354 | remote         | 0.072 |
| keyboard      | 0.245 | cell phone   | 0.162 | microwave      | 0.304 |
| oven          | 0.138 | toaster      | 0.000 | sink           | 0.159 |
| refrigerator  | 0.244 | book         | 0.034 | clock          | 0.370 |
| vase          | 0.199 | scissors     | 0.067 | teddy bear     | 0.226 |
| hair drier    | 0.000 | toothbrush   | 0.034 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 12:13:46,044 - mmdet - INFO - current percent: 0.2
2021-11-06 12:13:46,044 - mmdet - INFO - update score thr (positive): (0.99-person) (0.97-bicycle) (0.99-car) (0.99-motorcycle) (0.99-airplane) (0.99-bus) (0.99-train) (0.95-truck) (0.97-boat) (0.96-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.92-parking meter) (0.93-bench) (0.95-bird) (0.99-cat) (0.97-dog) (0.97-horse) (0.99-sheep) (0.94-cow) (1.00-elephant) (0.99-bear) (1.00-zebra) (1.00-giraffe) (0.87-backpack) (0.97-umbrella) (0.77-handbag) (0.95-tie) (0.89-suitcase) (0.98-frisbee) (0.86-skis) (0.84-snowboard) (0.99-sports ball) (0.97-kite) (0.98-baseball bat) (0.99-baseball glove) (0.97-skateboard) (0.94-surfboard) (1.00-tennis racket) (0.97-bottle) (0.97-wine glass) (0.97-cup) (0.94-fork) (0.75-knife) (0.60-spoon) (0.92-bowl) (0.82-banana) (0.71-apple) (0.42-sandwich) (0.93-orange) (0.95-broccoli) (0.77-carrot) (0.93-hot dog) (0.96-pizza) (0.71-donut) (0.71-cake) (0.85-chair) (0.93-couch) (0.96-potted plant) (0.95-bed) (0.92-dining table) (1.00-toilet) (0.99-tv) (0.99-laptop) (1.00-mouse) (0.86-remote) (0.99-keyboard) (0.94-cell phone) (0.98-microwave) (0.97-oven) (0.05-toaster) (0.98-sink) (0.95-refrigerator) (0.83-book) (1.00-clock) (0.94-vase) (0.85-scissors) (0.99-teddy bear) (0.05-hair drier) (0.60-toothbrush)
2021-11-06 12:13:46,045 - mmdet - INFO - update score thr (ignore): (0.35-person) (0.40-bicycle) (0.43-car) (0.40-motorcycle) (0.79-airplane) (0.55-bus) (0.50-train) (0.45-truck) (0.43-boat) (0.34-traffic light) (0.53-fire hydrant) (0.73-stop sign) (0.21-parking meter) (0.35-bench) (0.19-bird) (0.57-cat) (0.49-dog) (0.31-horse) (0.73-sheep) (0.35-cow) (0.72-elephant) (0.42-bear) (0.19-zebra) (0.24-giraffe) (0.38-backpack) (0.27-umbrella) (0.27-handbag) (0.31-tie) (0.27-suitcase) (0.49-frisbee) (0.29-skis) (0.43-snowboard) (0.36-sports ball) (0.45-kite) (0.40-baseball bat) (0.56-baseball glove) (0.37-skateboard) (0.38-surfboard) (0.84-tennis racket) (0.41-bottle) (0.19-wine glass) (0.29-cup) (0.20-fork) (0.26-knife) (0.15-spoon) (0.26-bowl) (0.17-banana) (0.23-apple) (0.15-sandwich) (0.77-orange) (0.48-broccoli) (0.29-carrot) (0.91-hot dog) (0.37-pizza) (0.18-donut) (0.18-cake) (0.25-chair) (0.42-couch) (0.43-potted plant) (0.47-bed) (0.38-dining table) (0.61-toilet) (0.66-tv) (0.52-laptop) (0.73-mouse) (0.28-remote) (0.60-keyboard) (0.39-cell phone) (0.54-microwave) (0.54-oven) (0.05-toaster) (0.42-sink) (0.55-refrigerator) (0.34-book) (0.77-clock) (0.28-vase) (0.19-scissors) (0.71-teddy bear) (0.05-hair drier) (0.12-toothbrush)
2021-11-06 12:13:46,323 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 12:13:46,323 - mmdet - INFO - Iter [4000/40000]	lr: 2.000e-02, eta: 18:37:43, time: 1.692, data_time: 0.030, memory: 26488, bbox_mAP: 0.1970, bbox_mAP_50: 0.3670, bbox_mAP_75: 0.1900, bbox_mAP_s: 0.0990, bbox_mAP_m: 0.2230, bbox_mAP_l: 0.2570, bbox_mAP_copypaste: 0.197 0.367 0.190 0.099 0.223 0.257, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0469, loss_cls: 0.1844, acc: 93.3054, loss_bbox: 0.2560, loss_rpn_cls_unlabeled: 0.1256, loss_rpn_bbox_unlabeled: 0.1418, loss_cls_unlabeled: 0.3673, acc_unlabeled: 89.2999, loss_bbox_unlabeled: 0.4089, losses_cls_ig_unlabeled: 0.1375, pseudo_num: 2.0482, pseudo_num_ig: 6.5999, pseudo_num_mining: 0.4403, pseudo_num(acc): 0.6100, pseudo_num ig(acc): 0.3417, loss: 1.6966
2021-11-06 12:15:10,600 - mmdet - INFO - Iter [4050/40000]	lr: 2.000e-02, eta: 19:23:44, time: 8.292, data_time: 6.633, memory: 26488, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0478, loss_cls: 0.1668, acc: 93.7549, loss_bbox: 0.2541, loss_rpn_cls_unlabeled: 0.1080, loss_rpn_bbox_unlabeled: 0.1128, loss_cls_unlabeled: 0.2012, acc_unlabeled: 90.9453, loss_bbox_unlabeled: 0.1941, losses_cls_ig_unlabeled: 0.1756, pseudo_num: 2.0676, pseudo_num_ig: 6.5877, pseudo_num_mining: 0.4416, pseudo_num(acc): 0.6050, pseudo_num ig(acc): 0.3422, loss: 1.2862
2021-11-06 12:16:37,154 - mmdet - INFO - Iter [4100/40000]	lr: 2.000e-02, eta: 19:20:31, time: 1.724, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0487, loss_cls: 0.1592, acc: 93.9768, loss_bbox: 0.2513, loss_rpn_cls_unlabeled: 0.1029, loss_rpn_bbox_unlabeled: 0.1124, loss_cls_unlabeled: 0.1911, acc_unlabeled: 90.7881, loss_bbox_unlabeled: 0.1876, losses_cls_ig_unlabeled: 0.1728, pseudo_num: 2.0622, pseudo_num_ig: 6.5791, pseudo_num_mining: 0.4430, pseudo_num(acc): 0.6069, pseudo_num ig(acc): 0.3427, loss: 1.2507
2021-11-06 12:18:02,377 - mmdet - INFO - Iter [4150/40000]	lr: 2.000e-02, eta: 19:17:14, time: 1.710, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0490, loss_cls: 0.1605, acc: 93.8710, loss_bbox: 0.2613, loss_rpn_cls_unlabeled: 0.1065, loss_rpn_bbox_unlabeled: 0.1090, loss_cls_unlabeled: 0.2008, acc_unlabeled: 90.7491, loss_bbox_unlabeled: 0.1905, losses_cls_ig_unlabeled: 0.1729, pseudo_num: 2.0568, pseudo_num_ig: 6.5717, pseudo_num_mining: 0.4448, pseudo_num(acc): 0.6087, pseudo_num ig(acc): 0.3432, loss: 1.2745
2021-11-06 12:19:27,068 - mmdet - INFO - Iter [4200/40000]	lr: 2.000e-02, eta: 19:13:55, time: 1.696, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0488, loss_cls: 0.1601, acc: 93.8623, loss_bbox: 0.2572, loss_rpn_cls_unlabeled: 0.0986, loss_rpn_bbox_unlabeled: 0.1084, loss_cls_unlabeled: 0.1926, acc_unlabeled: 91.0059, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1686, pseudo_num: 2.0509, pseudo_num_ig: 6.5629, pseudo_num_mining: 0.4465, pseudo_num(acc): 0.6103, pseudo_num ig(acc): 0.3437, loss: 1.2409
2021-11-06 12:20:51,222 - mmdet - INFO - Iter [4250/40000]	lr: 2.000e-02, eta: 19:10:32, time: 1.682, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0478, loss_cls: 0.1487, acc: 94.3408, loss_bbox: 0.2425, loss_rpn_cls_unlabeled: 0.1004, loss_rpn_bbox_unlabeled: 0.1081, loss_cls_unlabeled: 0.1919, acc_unlabeled: 90.9587, loss_bbox_unlabeled: 0.1881, losses_cls_ig_unlabeled: 0.1602, pseudo_num: 2.0457, pseudo_num_ig: 6.5527, pseudo_num_mining: 0.4481, pseudo_num(acc): 0.6119, pseudo_num ig(acc): 0.3442, loss: 1.2107
2021-11-06 12:22:15,419 - mmdet - INFO - Iter [4300/40000]	lr: 2.000e-02, eta: 19:07:13, time: 1.684, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0493, loss_cls: 0.1552, acc: 94.0350, loss_bbox: 0.2525, loss_rpn_cls_unlabeled: 0.1049, loss_rpn_bbox_unlabeled: 0.1118, loss_cls_unlabeled: 0.2012, acc_unlabeled: 90.7493, loss_bbox_unlabeled: 0.1974, losses_cls_ig_unlabeled: 0.1646, pseudo_num: 2.0417, pseudo_num_ig: 6.5446, pseudo_num_mining: 0.4490, pseudo_num(acc): 0.6136, pseudo_num ig(acc): 0.3446, loss: 1.2619
2021-11-06 12:23:39,788 - mmdet - INFO - Iter [4350/40000]	lr: 2.000e-02, eta: 19:03:58, time: 1.687, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0460, loss_cls: 0.1516, acc: 94.2128, loss_bbox: 0.2484, loss_rpn_cls_unlabeled: 0.1013, loss_rpn_bbox_unlabeled: 0.1053, loss_cls_unlabeled: 0.1918, acc_unlabeled: 91.0538, loss_bbox_unlabeled: 0.1902, losses_cls_ig_unlabeled: 0.1630, pseudo_num: 2.0372, pseudo_num_ig: 6.5348, pseudo_num_mining: 0.4498, pseudo_num(acc): 0.6152, pseudo_num ig(acc): 0.3450, loss: 1.2201
2021-11-06 12:25:03,326 - mmdet - INFO - Iter [4400/40000]	lr: 2.000e-02, eta: 19:00:38, time: 1.669, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0463, loss_cls: 0.1501, acc: 94.2306, loss_bbox: 0.2477, loss_rpn_cls_unlabeled: 0.1018, loss_rpn_bbox_unlabeled: 0.1099, loss_cls_unlabeled: 0.2009, acc_unlabeled: 90.8517, loss_bbox_unlabeled: 0.1991, losses_cls_ig_unlabeled: 0.1626, pseudo_num: 2.0341, pseudo_num_ig: 6.5247, pseudo_num_mining: 0.4506, pseudo_num(acc): 0.6168, pseudo_num ig(acc): 0.3454, loss: 1.2414
2021-11-06 12:26:29,694 - mmdet - INFO - Iter [4450/40000]	lr: 2.000e-02, eta: 18:57:45, time: 1.730, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0489, loss_cls: 0.1546, acc: 94.1016, loss_bbox: 0.2487, loss_rpn_cls_unlabeled: 0.0996, loss_rpn_bbox_unlabeled: 0.1087, loss_cls_unlabeled: 0.2069, acc_unlabeled: 90.8207, loss_bbox_unlabeled: 0.1965, losses_cls_ig_unlabeled: 0.1640, pseudo_num: 2.0307, pseudo_num_ig: 6.5166, pseudo_num_mining: 0.4520, pseudo_num(acc): 0.6181, pseudo_num ig(acc): 0.3457, loss: 1.2512
2021-11-06 12:27:53,800 - mmdet - INFO - pseudo pos: 0.98(8225.0-person) 0.83(235.0-bicycle) 0.90(1442.0-car) 0.93(270.0-motorcycle) 0.97(121.0-airplane) 0.98(206.0-bus) 0.97(179.0-train) 0.66(315.0-truck) 0.56(398.0-boat) 0.83(507.0-traffic light) 0.97(75.0-fire hydrant) 1.00(73.0-stop sign) 0.47(76.0-parking meter) 0.52(330.0-bench) 0.84(274.0-bird) 0.91(186.0-cat) 0.88(180.0-dog) 0.89(245.0-horse) 0.95(176.0-sheep) 0.70(368.0-cow) 0.98(129.0-elephant) 1.00(39.0-bear) 0.98(226.0-zebra) 0.99(230.0-giraffe) 0.34(297.0-backpack) 0.76(370.0-umbrella) 0.36(490.0-handbag) 0.74(245.0-tie) 0.52(253.0-suitcase) 0.89(93.0-frisbee) 0.42(267.0-skis) 0.05(551.0-snowboard) 0.95(193.0-sports ball) 0.74(296.0-kite) 0.77(111.0-baseball bat) 0.59(198.0-baseball glove) 0.89(193.0-skateboard) 0.77(216.0-surfboard) 0.93(125.0-tennis racket) 0.80(713.0-bottle) 0.83(214.0-wine glass) 0.77(838.0-cup) 0.25(214.0-fork) 0.21(431.0-knife) 0.19(245.0-spoon) 0.69(675.0-bowl) 0.51(300.0-banana) 0.21(612.0-apple) 0.22(663.0-sandwich) 0.20(462.0-orange) 0.67(217.0-broccoli) 0.41(255.0-carrot) 0.02(4736.0-hot dog) 0.92(206.0-pizza) 0.51(327.0-donut) 0.45(252.0-cake) 0.51(1873.0-chair) 0.55(215.0-couch) 0.62(395.0-potted plant) 0.84(156.0-bed) 0.65(748.0-dining table) 0.91(140.0-toilet) 0.89(226.0-tv) 0.92(184.0-laptop) 0.91(45.0-mouse) 0.45(181.0-remote) 0.76(119.0-keyboard) 0.58(270.0-cell phone) 0.90(72.0-microwave) 0.60(200.0-oven) 0.00(0.0-toaster) 0.74(240.0-sink) 0.75(114.0-refrigerator) 0.19(853.0-book) 0.94(150.0-clock) 0.76(209.0-vase) 0.60(47.0-scissors) 0.95(110.0-teddy bear) 0.00(0.0-hair drier) 0.14(151.0-toothbrush)
2021-11-06 12:27:53,800 - mmdet - INFO - pseudo ig: 0.58(31838.0-person) 0.28(916.0-bicycle) 0.41(5816.0-car) 0.47(1019.0-motorcycle) 0.67(335.0-airplane) 0.56(741.0-bus) 0.45(665.0-train) 0.30(1186.0-truck) 0.25(1672.0-boat) 0.21(2413.0-traffic light) 0.55(212.0-fire hydrant) 0.44(290.0-stop sign) 0.13(206.0-parking meter) 0.16(1363.0-bench) 0.30(866.0-bird) 0.62(620.0-cat) 0.58(534.0-dog) 0.41(829.0-horse) 0.54(685.0-sheep) 0.26(1345.0-cow) 0.77(514.0-elephant) 0.48(132.0-bear) 0.46(1020.0-zebra) 0.70(696.0-giraffe) 0.17(1142.0-backpack) 0.31(1324.0-umbrella) 0.11(1795.0-handbag) 0.20(1165.0-tie) 0.17(886.0-suitcase) 0.31(423.0-frisbee) 0.21(922.0-skis) 0.06(577.0-snowboard) 0.31(860.0-sports ball) 0.27(1211.0-kite) 0.24(399.0-baseball bat) 0.14(854.0-baseball glove) 0.32(667.0-skateboard) 0.31(813.0-surfboard) 0.50(530.0-tennis racket) 0.29(3152.0-bottle) 0.31(837.0-wine glass) 0.25(3343.0-cup) 0.13(670.0-fork) 0.08(1532.0-knife) 0.06(1203.0-spoon) 0.23(2649.0-bowl) 0.18(1190.0-banana) 0.07(1295.0-apple) 0.12(875.0-sandwich) 0.13(534.0-orange) 0.26(1062.0-broccoli) 0.13(1368.0-carrot) 0.00(8.0-hot dog) 0.47(717.0-pizza) 0.19(1335.0-donut) 0.15(822.0-cake) 0.16(8430.0-chair) 0.24(759.0-couch) 0.21(1642.0-potted plant) 0.38(556.0-bed) 0.25(2058.0-dining table) 0.57(495.0-toilet) 0.41(843.0-tv) 0.41(602.0-laptop) 0.42(176.0-mouse) 0.15(749.0-remote) 0.40(369.0-keyboard) 0.18(1075.0-cell phone) 0.30(242.0-microwave) 0.17(535.0-oven) 0.00(0.0-toaster) 0.29(816.0-sink) 0.24(369.0-refrigerator) 0.14(3478.0-book) 0.53(771.0-clock) 0.30(706.0-vase) 0.21(194.0-scissors) 0.54(420.0-teddy bear) 0.00(0.0-hair drier) 0.05(402.0-toothbrush)
2021-11-06 12:27:53,801 - mmdet - INFO - pseudo gt: 39805.0 1120.0 6849.0 1383.0 806.0 1000.0 719.0 1564.0 1684.0 2051.0 300.0 318.0 174.0 1634.0 1635.0 757.0 849.0 962.0 1394.0 1148.0 909.0 163.0 849.0 798.0 1394.0 1608.0 1961.0 971.0 913.0 405.0 923.0 438.0 1042.0 1235.0 528.0 538.0 832.0 948.0 771.0 3478.0 1172.0 3066.0 807.0 1149.0 884.0 2019.0 1344.0 840.0 634.0 842.0 1090.0 1141.0 490.0 984.0 1024.0 868.0 5900.0 870.0 1426.0 658.0 2350.0 614.0 952.0 828.0 368.0 901.0 480.0 1002.0 249.0 464.0 29.0 865.0 395.0 4003.0 953.0 989.0 249.0 775.0 33.0 351.0
2021-11-06 12:27:53,801 - mmdet - INFO - pseudo mining: 4813.0 13.0 475.0 33.0 41.0 46.0 29.0 12.0 35.0 97.0 37.0 113.0 0.0 3.0 6.0 36.0 8.0 28.0 101.0 12.0 135.0 3.0 127.0 172.0 4.0 68.0 1.0 19.0 2.0 35.0 7.0 0.0 141.0 140.0 21.0 35.0 13.0 10.0 106.0 156.0 7.0 73.0 1.0 3.0 0.0 56.0 15.0 26.0 7.0 12.0 32.0 14.0 0.0 23.0 1.0 0.0 10.0 1.0 41.0 3.0 24.0 95.0 97.0 34.0 33.0 10.0 14.0 13.0 11.0 3.0 0.0 20.0 1.0 13.0 352.0 9.0 1.0 37.0 0.0 0.0
2021-11-06 12:27:55,595 - mmdet - INFO - Iter [4500/40000]	lr: 2.000e-02, eta: 18:54:49, time: 1.718, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0496, loss_cls: 0.1568, acc: 94.0679, loss_bbox: 0.2481, loss_rpn_cls_unlabeled: 0.1017, loss_rpn_bbox_unlabeled: 0.1145, loss_cls_unlabeled: 0.2147, acc_unlabeled: 90.9014, loss_bbox_unlabeled: 0.2089, losses_cls_ig_unlabeled: 0.1593, pseudo_num: 2.0282, pseudo_num_ig: 6.5073, pseudo_num_mining: 0.4529, pseudo_num(acc): 0.6195, pseudo_num ig(acc): 0.3460, loss: 1.2784
2021-11-06 12:29:20,244 - mmdet - INFO - Iter [4550/40000]	lr: 2.000e-02, eta: 18:51:44, time: 1.689, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0509, loss_cls: 0.1582, acc: 93.9664, loss_bbox: 0.2511, loss_rpn_cls_unlabeled: 0.1034, loss_rpn_bbox_unlabeled: 0.1154, loss_cls_unlabeled: 0.2150, acc_unlabeled: 90.9050, loss_bbox_unlabeled: 0.2112, losses_cls_ig_unlabeled: 0.1603, pseudo_num: 2.0270, pseudo_num_ig: 6.5009, pseudo_num_mining: 0.4540, pseudo_num(acc): 0.6209, pseudo_num ig(acc): 0.3462, loss: 1.2907
2021-11-06 12:30:45,641 - mmdet - INFO - Iter [4600/40000]	lr: 2.000e-02, eta: 18:48:49, time: 1.710, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0478, loss_cls: 0.1512, acc: 94.1953, loss_bbox: 0.2452, loss_rpn_cls_unlabeled: 0.0980, loss_rpn_bbox_unlabeled: 0.1095, loss_cls_unlabeled: 0.2149, acc_unlabeled: 90.8212, loss_bbox_unlabeled: 0.2117, losses_cls_ig_unlabeled: 0.1607, pseudo_num: 2.0255, pseudo_num_ig: 6.4928, pseudo_num_mining: 0.4549, pseudo_num(acc): 0.6223, pseudo_num ig(acc): 0.3465, loss: 1.2617
2021-11-06 12:32:10,048 - mmdet - INFO - Iter [4650/40000]	lr: 2.000e-02, eta: 18:45:49, time: 1.691, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0458, loss_cls: 0.1414, acc: 94.6012, loss_bbox: 0.2336, loss_rpn_cls_unlabeled: 0.0972, loss_rpn_bbox_unlabeled: 0.1056, loss_cls_unlabeled: 0.2010, acc_unlabeled: 91.2130, loss_bbox_unlabeled: 0.2016, losses_cls_ig_unlabeled: 0.1551, pseudo_num: 2.0234, pseudo_num_ig: 6.4842, pseudo_num_mining: 0.4556, pseudo_num(acc): 0.6235, pseudo_num ig(acc): 0.3467, loss: 1.2042
2021-11-06 12:33:34,545 - mmdet - INFO - Iter [4700/40000]	lr: 2.000e-02, eta: 18:42:50, time: 1.688, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0479, loss_cls: 0.1516, acc: 94.1765, loss_bbox: 0.2465, loss_rpn_cls_unlabeled: 0.1036, loss_rpn_bbox_unlabeled: 0.1128, loss_cls_unlabeled: 0.2146, acc_unlabeled: 90.5194, loss_bbox_unlabeled: 0.2104, losses_cls_ig_unlabeled: 0.1665, pseudo_num: 2.0213, pseudo_num_ig: 6.4774, pseudo_num_mining: 0.4563, pseudo_num(acc): 0.6246, pseudo_num ig(acc): 0.3469, loss: 1.2758
2021-11-06 12:34:59,238 - mmdet - INFO - Iter [4750/40000]	lr: 2.000e-02, eta: 18:39:55, time: 1.696, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0496, loss_cls: 0.1535, acc: 94.1327, loss_bbox: 0.2485, loss_rpn_cls_unlabeled: 0.1030, loss_rpn_bbox_unlabeled: 0.1122, loss_cls_unlabeled: 0.2061, acc_unlabeled: 90.9222, loss_bbox_unlabeled: 0.2108, losses_cls_ig_unlabeled: 0.1568, pseudo_num: 2.0199, pseudo_num_ig: 6.4729, pseudo_num_mining: 0.4572, pseudo_num(acc): 0.6257, pseudo_num ig(acc): 0.3471, loss: 1.2648
2021-11-06 12:36:22,136 - mmdet - INFO - Iter [4800/40000]	lr: 2.000e-02, eta: 18:36:48, time: 1.656, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0478, loss_cls: 0.1561, acc: 94.0414, loss_bbox: 0.2462, loss_rpn_cls_unlabeled: 0.1024, loss_rpn_bbox_unlabeled: 0.1103, loss_cls_unlabeled: 0.2087, acc_unlabeled: 90.8169, loss_bbox_unlabeled: 0.2070, losses_cls_ig_unlabeled: 0.1583, pseudo_num: 2.0191, pseudo_num_ig: 6.4684, pseudo_num_mining: 0.4579, pseudo_num(acc): 0.6268, pseudo_num ig(acc): 0.3473, loss: 1.2608
2021-11-06 12:37:45,287 - mmdet - INFO - Iter [4850/40000]	lr: 2.000e-02, eta: 18:33:46, time: 1.664, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0458, loss_cls: 0.1455, acc: 94.4202, loss_bbox: 0.2389, loss_rpn_cls_unlabeled: 0.1060, loss_rpn_bbox_unlabeled: 0.1108, loss_cls_unlabeled: 0.2097, acc_unlabeled: 90.9470, loss_bbox_unlabeled: 0.2152, losses_cls_ig_unlabeled: 0.1569, pseudo_num: 2.0179, pseudo_num_ig: 6.4639, pseudo_num_mining: 0.4591, pseudo_num(acc): 0.6278, pseudo_num ig(acc): 0.3475, loss: 1.2522
2021-11-06 12:39:10,299 - mmdet - INFO - Iter [4900/40000]	lr: 2.000e-02, eta: 18:30:58, time: 1.696, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0467, loss_cls: 0.1508, acc: 94.2979, loss_bbox: 0.2449, loss_rpn_cls_unlabeled: 0.1088, loss_rpn_bbox_unlabeled: 0.1121, loss_cls_unlabeled: 0.2225, acc_unlabeled: 90.8473, loss_bbox_unlabeled: 0.2246, losses_cls_ig_unlabeled: 0.1584, pseudo_num: 2.0175, pseudo_num_ig: 6.4571, pseudo_num_mining: 0.4601, pseudo_num(acc): 0.6287, pseudo_num ig(acc): 0.3478, loss: 1.2931
2021-11-06 12:40:34,141 - mmdet - INFO - Iter [4950/40000]	lr: 2.000e-02, eta: 18:28:06, time: 1.682, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0470, loss_cls: 0.1453, acc: 94.4060, loss_bbox: 0.2404, loss_rpn_cls_unlabeled: 0.1023, loss_rpn_bbox_unlabeled: 0.1143, loss_cls_unlabeled: 0.2201, acc_unlabeled: 90.9240, loss_bbox_unlabeled: 0.2222, losses_cls_ig_unlabeled: 0.1582, pseudo_num: 2.0171, pseudo_num_ig: 6.4520, pseudo_num_mining: 0.4610, pseudo_num(acc): 0.6295, pseudo_num ig(acc): 0.3480, loss: 1.2723
2021-11-06 12:41:56,476 - mmdet - INFO - pseudo pos: 0.98(9261.0-person) 0.83(267.0-bicycle) 0.91(1598.0-car) 0.94(299.0-motorcycle) 0.95(131.0-airplane) 0.98(223.0-bus) 0.97(197.0-train) 0.65(350.0-truck) 0.58(427.0-boat) 0.84(551.0-traffic light) 0.98(81.0-fire hydrant) 1.00(82.0-stop sign) 0.49(79.0-parking meter) 0.53(352.0-bench) 0.85(320.0-bird) 0.92(203.0-cat) 0.89(211.0-dog) 0.90(296.0-horse) 0.95(196.0-sheep) 0.72(397.0-cow) 0.99(144.0-elephant) 1.00(42.0-bear) 0.98(254.0-zebra) 0.99(262.0-giraffe) 0.35(323.0-backpack) 0.76(421.0-umbrella) 0.36(536.0-handbag) 0.74(273.0-tie) 0.53(277.0-suitcase) 0.88(103.0-frisbee) 0.42(285.0-skis) 0.06(556.0-snowboard) 0.96(209.0-sports ball) 0.73(342.0-kite) 0.78(126.0-baseball bat) 0.61(211.0-baseball glove) 0.90(213.0-skateboard) 0.77(245.0-surfboard) 0.92(131.0-tennis racket) 0.80(797.0-bottle) 0.84(237.0-wine glass) 0.78(923.0-cup) 0.25(217.0-fork) 0.22(475.0-knife) 0.22(293.0-spoon) 0.68(795.0-bowl) 0.52(378.0-banana) 0.22(662.0-apple) 0.21(973.0-sandwich) 0.22(476.0-orange) 0.67(240.0-broccoli) 0.40(320.0-carrot) 0.02(4736.0-hot dog) 0.92(230.0-pizza) 0.53(426.0-donut) 0.43(322.0-cake) 0.51(2041.0-chair) 0.57(247.0-couch) 0.63(438.0-potted plant) 0.82(180.0-bed) 0.66(840.0-dining table) 0.89(160.0-toilet) 0.89(247.0-tv) 0.93(205.0-laptop) 0.91(47.0-mouse) 0.46(192.0-remote) 0.77(130.0-keyboard) 0.58(295.0-cell phone) 0.90(81.0-microwave) 0.62(215.0-oven) 0.00(0.0-toaster) 0.75(270.0-sink) 0.76(122.0-refrigerator) 0.20(965.0-book) 0.94(170.0-clock) 0.76(248.0-vase) 0.58(50.0-scissors) 0.93(124.0-teddy bear) 0.00(0.0-hair drier) 0.13(164.0-toothbrush)
2021-11-06 12:41:56,477 - mmdet - INFO - pseudo ig: 0.57(35062.0-person) 0.29(981.0-bicycle) 0.42(6347.0-car) 0.47(1107.0-motorcycle) 0.68(377.0-airplane) 0.57(799.0-bus) 0.46(716.0-train) 0.30(1292.0-truck) 0.26(1829.0-boat) 0.21(2611.0-traffic light) 0.56(236.0-fire hydrant) 0.45(328.0-stop sign) 0.14(223.0-parking meter) 0.16(1482.0-bench) 0.33(968.0-bird) 0.63(677.0-cat) 0.58(580.0-dog) 0.42(927.0-horse) 0.56(752.0-sheep) 0.26(1482.0-cow) 0.77(572.0-elephant) 0.47(149.0-bear) 0.47(1089.0-zebra) 0.70(776.0-giraffe) 0.17(1232.0-backpack) 0.30(1498.0-umbrella) 0.12(1957.0-handbag) 0.20(1239.0-tie) 0.17(955.0-suitcase) 0.31(453.0-frisbee) 0.22(1007.0-skis) 0.06(603.0-snowboard) 0.32(928.0-sports ball) 0.27(1332.0-kite) 0.24(429.0-baseball bat) 0.15(887.0-baseball glove) 0.32(718.0-skateboard) 0.32(902.0-surfboard) 0.52(563.0-tennis racket) 0.29(3462.0-bottle) 0.31(921.0-wine glass) 0.26(3659.0-cup) 0.14(709.0-fork) 0.09(1680.0-knife) 0.07(1339.0-spoon) 0.23(3054.0-bowl) 0.17(1533.0-banana) 0.07(1418.0-apple) 0.10(1244.0-sandwich) 0.15(555.0-orange) 0.26(1139.0-broccoli) 0.13(1532.0-carrot) 0.00(8.0-hot dog) 0.46(785.0-pizza) 0.18(1589.0-donut) 0.15(971.0-cake) 0.17(9016.0-chair) 0.24(860.0-couch) 0.23(1789.0-potted plant) 0.37(633.0-bed) 0.25(2339.0-dining table) 0.57(538.0-toilet) 0.41(912.0-tv) 0.42(648.0-laptop) 0.44(190.0-mouse) 0.15(804.0-remote) 0.40(405.0-keyboard) 0.18(1150.0-cell phone) 0.30(257.0-microwave) 0.16(571.0-oven) 0.00(0.0-toaster) 0.30(876.0-sink) 0.24(397.0-refrigerator) 0.14(3894.0-book) 0.54(827.0-clock) 0.31(781.0-vase) 0.22(217.0-scissors) 0.53(462.0-teddy bear) 0.00(0.0-hair drier) 0.05(450.0-toothbrush)
2021-11-06 12:41:56,477 - mmdet - INFO - pseudo gt: 43982.0 1212.0 7589.0 1524.0 901.0 1099.0 809.0 1719.0 1896.0 2266.0 336.0 348.0 197.0 1854.0 1875.0 835.0 953.0 1120.0 1550.0 1269.0 1011.0 179.0 933.0 890.0 1517.0 1812.0 2191.0 1082.0 1001.0 442.0 1021.0 473.0 1121.0 1376.0 590.0 598.0 919.0 1084.0 833.0 3914.0 1278.0 3408.0 906.0 1275.0 1002.0 2260.0 1574.0 927.0 711.0 959.0 1195.0 1265.0 559.0 1058.0 1205.0 988.0 6512.0 995.0 1599.0 737.0 2619.0 690.0 1064.0 906.0 405.0 1003.0 520.0 1082.0 271.0 505.0 31.0 967.0 435.0 4530.0 1041.0 1116.0 268.0 867.0 34.0 384.0
2021-11-06 12:41:56,477 - mmdet - INFO - pseudo mining: 5373.0 13.0 535.0 42.0 45.0 54.0 40.0 13.0 40.0 112.0 40.0 135.0 0.0 3.0 7.0 39.0 9.0 31.0 113.0 16.0 158.0 4.0 143.0 194.0 5.0 70.0 1.0 20.0 3.0 41.0 7.0 0.0 162.0 156.0 21.0 40.0 14.0 14.0 127.0 183.0 9.0 99.0 2.0 3.0 0.0 63.0 16.0 26.0 7.0 15.0 33.0 14.0 0.0 25.0 1.0 0.0 12.0 1.0 53.0 4.0 29.0 107.0 110.0 37.0 38.0 10.0 19.0 16.0 12.0 5.0 0.0 24.0 1.0 14.0 390.0 9.0 1.0 39.0 0.0 0.0
2021-11-06 12:43:23,333 - mmdet - INFO - current percent: 0.2
2021-11-06 12:43:23,334 - mmdet - INFO - update score thr (positive): (1.00-person) (0.97-bicycle) (0.99-car) (0.99-motorcycle) (0.99-airplane) (0.99-bus) (0.99-train) (0.96-truck) (0.97-boat) (0.97-traffic light) (0.99-fire hydrant) (1.00-stop sign) (0.86-parking meter) (0.90-bench) (0.98-bird) (0.99-cat) (0.99-dog) (0.99-horse) (0.99-sheep) (0.96-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.88-backpack) (0.98-umbrella) (0.79-handbag) (0.96-tie) (0.90-suitcase) (0.99-frisbee) (0.92-skis) (0.67-snowboard) (0.99-sports ball) (0.98-kite) (0.96-baseball bat) (0.97-baseball glove) (0.99-skateboard) (0.97-surfboard) (1.00-tennis racket) (0.97-bottle) (0.98-wine glass) (0.97-cup) (0.86-fork) (0.89-knife) (0.82-spoon) (0.96-bowl) (0.96-banana) (0.90-apple) (0.99-sandwich) (0.98-orange) (0.96-broccoli) (0.93-carrot) (0.08-hot dog) (0.98-pizza) (0.95-donut) (0.94-cake) (0.89-chair) (0.97-couch) (0.97-potted plant) (0.96-bed) (0.96-dining table) (1.00-toilet) (0.99-tv) (0.99-laptop) (0.99-mouse) (0.84-remote) (0.99-keyboard) (0.97-cell phone) (0.98-microwave) (0.95-oven) (0.05-toaster) (0.99-sink) (0.97-refrigerator) (0.90-book) (1.00-clock) (0.97-vase) (0.72-scissors) (1.00-teddy bear) (0.05-hair drier) (0.78-toothbrush)
2021-11-06 12:43:23,334 - mmdet - INFO - update score thr (ignore): (0.32-person) (0.21-bicycle) (0.37-car) (0.30-motorcycle) (0.54-airplane) (0.37-bus) (0.50-train) (0.39-truck) (0.39-boat) (0.37-traffic light) (0.29-fire hydrant) (0.75-stop sign) (0.13-parking meter) (0.26-bench) (0.17-bird) (0.54-cat) (0.47-dog) (0.43-horse) (0.64-sheep) (0.40-cow) (0.50-elephant) (0.49-bear) (0.18-zebra) (0.15-giraffe) (0.34-backpack) (0.40-umbrella) (0.25-handbag) (0.33-tie) (0.20-suitcase) (0.50-frisbee) (0.34-skis) (0.25-snowboard) (0.33-sports ball) (0.58-kite) (0.37-baseball bat) (0.46-baseball glove) (0.42-skateboard) (0.34-surfboard) (0.43-tennis racket) (0.36-bottle) (0.20-wine glass) (0.27-cup) (0.15-fork) (0.41-knife) (0.28-spoon) (0.33-bowl) (0.32-banana) (0.37-apple) (0.92-sandwich) (0.66-orange) (0.38-broccoli) (0.53-carrot) (0.05-hot dog) (0.40-pizza) (0.52-donut) (0.38-cake) (0.25-chair) (0.56-couch) (0.41-potted plant) (0.53-bed) (0.45-dining table) (0.68-toilet) (0.54-tv) (0.42-laptop) (0.64-mouse) (0.26-remote) (0.43-keyboard) (0.40-cell phone) (0.44-microwave) (0.36-oven) (0.05-toaster) (0.37-sink) (0.48-refrigerator) (0.37-book) (0.43-clock) (0.26-vase) (0.18-scissors) (0.81-teddy bear) (0.05-hair drier) (0.24-toothbrush)
2021-11-06 12:43:23,741 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 12:43:23,742 - mmdet - INFO - Iter [5000/40000]	lr: 2.000e-02, eta: 18:25:14, time: 1.678, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0426, loss_cls: 0.1408, acc: 94.5990, loss_bbox: 0.2319, loss_rpn_cls_unlabeled: 0.0966, loss_rpn_bbox_unlabeled: 0.1062, loss_cls_unlabeled: 0.2020, acc_unlabeled: 91.1006, loss_bbox_unlabeled: 0.2061, losses_cls_ig_unlabeled: 0.1546, pseudo_num: 2.0160, pseudo_num_ig: 6.4448, pseudo_num_mining: 0.4617, pseudo_num(acc): 0.6302, pseudo_num ig(acc): 0.3482, loss: 1.2017
2021-11-06 12:44:47,417 - mmdet - INFO - Iter [5050/40000]	lr: 2.000e-02, eta: 18:32:16, time: 3.388, data_time: 1.742, memory: 26488, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0450, loss_cls: 0.1392, acc: 94.6161, loss_bbox: 0.2366, loss_rpn_cls_unlabeled: 0.1048, loss_rpn_bbox_unlabeled: 0.1049, loss_cls_unlabeled: 0.1810, acc_unlabeled: 91.1689, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1669, pseudo_num: 2.0129, pseudo_num_ig: 6.4374, pseudo_num_mining: 0.4633, pseudo_num(acc): 0.6313, pseudo_num ig(acc): 0.3486, loss: 1.1826
2021-11-06 12:46:11,366 - mmdet - INFO - Iter [5100/40000]	lr: 2.000e-02, eta: 18:29:22, time: 1.679, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0457, loss_cls: 0.1439, acc: 94.4634, loss_bbox: 0.2382, loss_rpn_cls_unlabeled: 0.0987, loss_rpn_bbox_unlabeled: 0.1045, loss_cls_unlabeled: 0.1783, acc_unlabeled: 91.1191, loss_bbox_unlabeled: 0.1777, losses_cls_ig_unlabeled: 0.1660, pseudo_num: 2.0083, pseudo_num_ig: 6.4321, pseudo_num_mining: 0.4653, pseudo_num(acc): 0.6327, pseudo_num ig(acc): 0.3491, loss: 1.1752
2021-11-06 12:47:33,605 - mmdet - INFO - Iter [5150/40000]	lr: 2.000e-02, eta: 18:26:18, time: 1.645, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0474, loss_cls: 0.1431, acc: 94.4291, loss_bbox: 0.2408, loss_rpn_cls_unlabeled: 0.0983, loss_rpn_bbox_unlabeled: 0.1042, loss_cls_unlabeled: 0.1777, acc_unlabeled: 90.9884, loss_bbox_unlabeled: 0.1830, losses_cls_ig_unlabeled: 0.1669, pseudo_num: 2.0036, pseudo_num_ig: 6.4282, pseudo_num_mining: 0.4674, pseudo_num(acc): 0.6341, pseudo_num ig(acc): 0.3495, loss: 1.1830
2021-11-06 12:48:57,177 - mmdet - INFO - Iter [5200/40000]	lr: 2.000e-02, eta: 18:23:23, time: 1.668, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0470, loss_cls: 0.1414, acc: 94.5305, loss_bbox: 0.2425, loss_rpn_cls_unlabeled: 0.0995, loss_rpn_bbox_unlabeled: 0.1062, loss_cls_unlabeled: 0.1803, acc_unlabeled: 91.0348, loss_bbox_unlabeled: 0.1805, losses_cls_ig_unlabeled: 0.1706, pseudo_num: 1.9992, pseudo_num_ig: 6.4241, pseudo_num_mining: 0.4693, pseudo_num(acc): 0.6356, pseudo_num ig(acc): 0.3500, loss: 1.1900
2021-11-06 12:50:21,113 - mmdet - INFO - Iter [5250/40000]	lr: 2.000e-02, eta: 18:20:35, time: 1.681, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0463, loss_cls: 0.1448, acc: 94.4220, loss_bbox: 0.2377, loss_rpn_cls_unlabeled: 0.1059, loss_rpn_bbox_unlabeled: 0.1079, loss_cls_unlabeled: 0.1888, acc_unlabeled: 91.0446, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1667, pseudo_num: 1.9950, pseudo_num_ig: 6.4190, pseudo_num_mining: 0.4714, pseudo_num(acc): 0.6371, pseudo_num ig(acc): 0.3505, loss: 1.2057
2021-11-06 12:51:44,897 - mmdet - INFO - Iter [5300/40000]	lr: 2.000e-02, eta: 18:17:46, time: 1.675, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0479, loss_cls: 0.1471, acc: 94.2975, loss_bbox: 0.2498, loss_rpn_cls_unlabeled: 0.1004, loss_rpn_bbox_unlabeled: 0.1055, loss_cls_unlabeled: 0.1826, acc_unlabeled: 91.1198, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1682, pseudo_num: 1.9905, pseudo_num_ig: 6.4137, pseudo_num_mining: 0.4733, pseudo_num(acc): 0.6383, pseudo_num ig(acc): 0.3509, loss: 1.1999
2021-11-06 12:53:08,979 - mmdet - INFO - Iter [5350/40000]	lr: 2.000e-02, eta: 18:15:01, time: 1.682, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0438, loss_cls: 0.1392, acc: 94.6443, loss_bbox: 0.2322, loss_rpn_cls_unlabeled: 0.1013, loss_rpn_bbox_unlabeled: 0.1072, loss_cls_unlabeled: 0.1878, acc_unlabeled: 90.8733, loss_bbox_unlabeled: 0.1843, losses_cls_ig_unlabeled: 0.1710, pseudo_num: 1.9860, pseudo_num_ig: 6.4085, pseudo_num_mining: 0.4748, pseudo_num(acc): 0.6395, pseudo_num ig(acc): 0.3513, loss: 1.1884
2021-11-06 12:54:34,555 - mmdet - INFO - Iter [5400/40000]	lr: 2.000e-02, eta: 18:12:27, time: 1.711, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0451, loss_cls: 0.1411, acc: 94.5177, loss_bbox: 0.2409, loss_rpn_cls_unlabeled: 0.1004, loss_rpn_bbox_unlabeled: 0.1027, loss_cls_unlabeled: 0.1754, acc_unlabeled: 91.4314, loss_bbox_unlabeled: 0.1776, losses_cls_ig_unlabeled: 0.1595, pseudo_num: 1.9821, pseudo_num_ig: 6.4051, pseudo_num_mining: 0.4767, pseudo_num(acc): 0.6407, pseudo_num ig(acc): 0.3518, loss: 1.1639
2021-11-06 12:55:59,482 - mmdet - INFO - Iter [5450/40000]	lr: 2.000e-02, eta: 18:09:51, time: 1.700, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0457, loss_cls: 0.1406, acc: 94.5764, loss_bbox: 0.2369, loss_rpn_cls_unlabeled: 0.1007, loss_rpn_bbox_unlabeled: 0.1032, loss_cls_unlabeled: 0.1830, acc_unlabeled: 91.1757, loss_bbox_unlabeled: 0.1760, losses_cls_ig_unlabeled: 0.1649, pseudo_num: 1.9778, pseudo_num_ig: 6.3982, pseudo_num_mining: 0.4784, pseudo_num(acc): 0.6420, pseudo_num ig(acc): 0.3522, loss: 1.1723
2021-11-06 12:57:22,271 - mmdet - INFO - pseudo pos: 0.98(10235.0-person) 0.84(294.0-bicycle) 0.91(1778.0-car) 0.94(324.0-motorcycle) 0.96(150.0-airplane) 0.98(250.0-bus) 0.97(219.0-train) 0.65(395.0-truck) 0.58(447.0-boat) 0.84(625.0-traffic light) 0.98(93.0-fire hydrant) 1.00(88.0-stop sign) 0.51(89.0-parking meter) 0.53(392.0-bench) 0.86(352.0-bird) 0.92(223.0-cat) 0.89(226.0-dog) 0.91(324.0-horse) 0.95(219.0-sheep) 0.72(427.0-cow) 0.99(153.0-elephant) 1.00(45.0-bear) 0.99(283.0-zebra) 0.99(285.0-giraffe) 0.36(350.0-backpack) 0.77(480.0-umbrella) 0.37(575.0-handbag) 0.75(290.0-tie) 0.54(287.0-suitcase) 0.89(108.0-frisbee) 0.45(315.0-skis) 0.06(570.0-snowboard) 0.95(236.0-sports ball) 0.74(370.0-kite) 0.78(139.0-baseball bat) 0.63(226.0-baseball glove) 0.90(223.0-skateboard) 0.78(258.0-surfboard) 0.94(157.0-tennis racket) 0.80(877.0-bottle) 0.84(256.0-wine glass) 0.78(982.0-cup) 0.26(222.0-fork) 0.22(499.0-knife) 0.23(312.0-spoon) 0.69(866.0-bowl) 0.53(405.0-banana) 0.21(694.0-apple) 0.22(992.0-sandwich) 0.24(491.0-orange) 0.68(277.0-broccoli) 0.40(339.0-carrot) 0.02(4769.0-hot dog) 0.92(250.0-pizza) 0.53(434.0-donut) 0.43(333.0-cake) 0.52(2199.0-chair) 0.58(263.0-couch) 0.63(462.0-potted plant) 0.82(195.0-bed) 0.65(909.0-dining table) 0.90(176.0-toilet) 0.90(266.0-tv) 0.93(214.0-laptop) 0.92(49.0-mouse) 0.47(219.0-remote) 0.77(132.0-keyboard) 0.58(315.0-cell phone) 0.89(93.0-microwave) 0.63(238.0-oven) 0.00(0.0-toaster) 0.76(287.0-sink) 0.77(135.0-refrigerator) 0.20(1035.0-book) 0.95(192.0-clock) 0.77(264.0-vase) 0.55(58.0-scissors) 0.93(128.0-teddy bear) 0.00(0.0-hair drier) 0.15(176.0-toothbrush)
2021-11-06 12:57:22,719 - mmdet - INFO - pseudo ig: 0.57(38890.0-person) 0.29(1109.0-bicycle) 0.42(7007.0-car) 0.48(1252.0-motorcycle) 0.67(410.0-airplane) 0.56(895.0-bus) 0.46(772.0-train) 0.30(1446.0-truck) 0.27(1926.0-boat) 0.22(2830.0-traffic light) 0.53(270.0-fire hydrant) 0.45(362.0-stop sign) 0.14(261.0-parking meter) 0.16(1652.0-bench) 0.33(1046.0-bird) 0.63(755.0-cat) 0.58(633.0-dog) 0.44(1020.0-horse) 0.57(849.0-sheep) 0.26(1609.0-cow) 0.77(625.0-elephant) 0.47(178.0-bear) 0.47(1178.0-zebra) 0.69(869.0-giraffe) 0.17(1355.0-backpack) 0.31(1638.0-umbrella) 0.12(2125.0-handbag) 0.21(1310.0-tie) 0.17(1030.0-suitcase) 0.31(483.0-frisbee) 0.23(1120.0-skis) 0.06(638.0-snowboard) 0.32(1014.0-sports ball) 0.27(1446.0-kite) 0.23(470.0-baseball bat) 0.15(962.0-baseball glove) 0.33(795.0-skateboard) 0.32(954.0-surfboard) 0.52(616.0-tennis racket) 0.29(3743.0-bottle) 0.32(989.0-wine glass) 0.25(3962.0-cup) 0.14(746.0-fork) 0.09(1771.0-knife) 0.07(1412.0-spoon) 0.23(3354.0-bowl) 0.18(1698.0-banana) 0.07(1503.0-apple) 0.11(1273.0-sandwich) 0.16(592.0-orange) 0.28(1264.0-broccoli) 0.13(1612.0-carrot) 0.04(50.0-hot dog) 0.46(863.0-pizza) 0.18(1669.0-donut) 0.15(1029.0-cake) 0.17(9575.0-chair) 0.24(927.0-couch) 0.23(1930.0-potted plant) 0.38(698.0-bed) 0.26(2534.0-dining table) 0.57(592.0-toilet) 0.42(986.0-tv) 0.41(711.0-laptop) 0.44(209.0-mouse) 0.16(885.0-remote) 0.40(438.0-keyboard) 0.19(1254.0-cell phone) 0.29(279.0-microwave) 0.16(637.0-oven) 0.00(0.0-toaster) 0.30(952.0-sink) 0.26(423.0-refrigerator) 0.14(4173.0-book) 0.55(931.0-clock) 0.31(861.0-vase) 0.21(234.0-scissors) 0.56(500.0-teddy bear) 0.00(0.0-hair drier) 0.05(478.0-toothbrush)
2021-11-06 12:57:22,719 - mmdet - INFO - pseudo gt: 48621.0 1327.0 8473.0 1689.0 988.0 1207.0 884.0 1903.0 2031.0 2500.0 368.0 383.0 217.0 2035.0 2051.0 931.0 1027.0 1263.0 1758.0 1394.0 1071.0 195.0 1018.0 995.0 1691.0 2068.0 2433.0 1204.0 1120.0 483.0 1161.0 513.0 1228.0 1504.0 647.0 667.0 1012.0 1169.0 920.0 4250.0 1453.0 3683.0 981.0 1378.0 1103.0 2508.0 1763.0 1014.0 784.0 1077.0 1351.0 1374.0 618.0 1155.0 1263.0 1107.0 7278.0 1094.0 1748.0 825.0 2895.0 770.0 1169.0 966.0 437.0 1093.0 570.0 1196.0 302.0 553.0 34.0 1046.0 477.0 5018.0 1173.0 1204.0 306.0 964.0 37.0 425.0
2021-11-06 12:57:22,719 - mmdet - INFO - pseudo mining: 6045.0 21.0 625.0 50.0 49.0 61.0 45.0 14.0 46.0 132.0 45.0 154.0 0.0 3.0 11.0 55.0 14.0 43.0 131.0 21.0 172.0 11.0 163.0 227.0 6.0 90.0 1.0 25.0 3.0 50.0 10.0 0.0 185.0 188.0 23.0 46.0 20.0 17.0 141.0 207.0 11.0 120.0 2.0 3.0 0.0 75.0 21.0 27.0 16.0 22.0 36.0 17.0 0.0 29.0 8.0 0.0 14.0 2.0 61.0 5.0 31.0 118.0 121.0 41.0 43.0 11.0 21.0 19.0 13.0 5.0 0.0 26.0 1.0 16.0 447.0 11.0 2.0 48.0 0.0 0.0
2021-11-06 12:57:24,163 - mmdet - INFO - Iter [5500/40000]	lr: 2.000e-02, eta: 18:07:14, time: 1.693, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0465, loss_cls: 0.1435, acc: 94.4633, loss_bbox: 0.2397, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.1025, loss_cls_unlabeled: 0.1846, acc_unlabeled: 90.8900, loss_bbox_unlabeled: 0.1853, losses_cls_ig_unlabeled: 0.1683, pseudo_num: 1.9741, pseudo_num_ig: 6.3927, pseudo_num_mining: 0.4797, pseudo_num(acc): 0.6430, pseudo_num ig(acc): 0.3525, loss: 1.1831
2021-11-06 12:58:48,276 - mmdet - INFO - Iter [5550/40000]	lr: 2.000e-02, eta: 18:04:35, time: 1.683, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0469, loss_cls: 0.1357, acc: 94.7834, loss_bbox: 0.2275, loss_rpn_cls_unlabeled: 0.0958, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1898, acc_unlabeled: 91.2224, loss_bbox_unlabeled: 0.1864, losses_cls_ig_unlabeled: 0.1623, pseudo_num: 1.9707, pseudo_num_ig: 6.3861, pseudo_num_mining: 0.4811, pseudo_num(acc): 0.6440, pseudo_num ig(acc): 0.3529, loss: 1.1647
2021-11-06 13:00:12,925 - mmdet - INFO - Iter [5600/40000]	lr: 2.000e-02, eta: 18:01:58, time: 1.688, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0455, loss_cls: 0.1420, acc: 94.5126, loss_bbox: 0.2382, loss_rpn_cls_unlabeled: 0.0924, loss_rpn_bbox_unlabeled: 0.1027, loss_cls_unlabeled: 0.1992, acc_unlabeled: 91.0914, loss_bbox_unlabeled: 0.1997, losses_cls_ig_unlabeled: 0.1608, pseudo_num: 1.9683, pseudo_num_ig: 6.3789, pseudo_num_mining: 0.4822, pseudo_num(acc): 0.6448, pseudo_num ig(acc): 0.3532, loss: 1.2008
2021-11-06 13:01:38,107 - mmdet - INFO - Iter [5650/40000]	lr: 2.000e-02, eta: 17:59:29, time: 1.707, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0475, loss_cls: 0.1389, acc: 94.6345, loss_bbox: 0.2338, loss_rpn_cls_unlabeled: 0.0953, loss_rpn_bbox_unlabeled: 0.1051, loss_cls_unlabeled: 0.2008, acc_unlabeled: 91.0884, loss_bbox_unlabeled: 0.1992, losses_cls_ig_unlabeled: 0.1593, pseudo_num: 1.9661, pseudo_num_ig: 6.3731, pseudo_num_mining: 0.4836, pseudo_num(acc): 0.6454, pseudo_num ig(acc): 0.3535, loss: 1.2017
2021-11-06 13:03:03,469 - mmdet - INFO - Iter [5700/40000]	lr: 2.000e-02, eta: 17:57:02, time: 1.709, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0446, loss_cls: 0.1410, acc: 94.5238, loss_bbox: 0.2373, loss_rpn_cls_unlabeled: 0.0932, loss_rpn_bbox_unlabeled: 0.1100, loss_cls_unlabeled: 0.2156, acc_unlabeled: 90.9127, loss_bbox_unlabeled: 0.2170, losses_cls_ig_unlabeled: 0.1563, pseudo_num: 1.9650, pseudo_num_ig: 6.3678, pseudo_num_mining: 0.4848, pseudo_num(acc): 0.6457, pseudo_num ig(acc): 0.3538, loss: 1.2367
2021-11-06 13:04:28,787 - mmdet - INFO - Iter [5750/40000]	lr: 2.000e-02, eta: 17:54:34, time: 1.705, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0469, loss_cls: 0.1411, acc: 94.6084, loss_bbox: 0.2344, loss_rpn_cls_unlabeled: 0.1034, loss_rpn_bbox_unlabeled: 0.1083, loss_cls_unlabeled: 0.2192, acc_unlabeled: 90.9031, loss_bbox_unlabeled: 0.2247, losses_cls_ig_unlabeled: 0.1581, pseudo_num: 1.9657, pseudo_num_ig: 6.3638, pseudo_num_mining: 0.4864, pseudo_num(acc): 0.6456, pseudo_num ig(acc): 0.3541, loss: 1.2578
2021-11-06 13:05:52,071 - mmdet - INFO - Iter [5800/40000]	lr: 2.000e-02, eta: 17:51:56, time: 1.667, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0471, loss_cls: 0.1472, acc: 94.3995, loss_bbox: 0.2391, loss_rpn_cls_unlabeled: 0.0974, loss_rpn_bbox_unlabeled: 0.1095, loss_cls_unlabeled: 0.2324, acc_unlabeled: 90.8530, loss_bbox_unlabeled: 0.2368, losses_cls_ig_unlabeled: 0.1496, pseudo_num: 1.9677, pseudo_num_ig: 6.3600, pseudo_num_mining: 0.4876, pseudo_num(acc): 0.6451, pseudo_num ig(acc): 0.3544, loss: 1.2810
2021-11-06 13:07:15,687 - mmdet - INFO - Iter [5850/40000]	lr: 2.000e-02, eta: 17:49:22, time: 1.673, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0459, loss_cls: 0.1463, acc: 94.4309, loss_bbox: 0.2380, loss_rpn_cls_unlabeled: 0.0977, loss_rpn_bbox_unlabeled: 0.1120, loss_cls_unlabeled: 0.2391, acc_unlabeled: 90.5410, loss_bbox_unlabeled: 0.2472, losses_cls_ig_unlabeled: 0.1569, pseudo_num: 1.9702, pseudo_num_ig: 6.3541, pseudo_num_mining: 0.4884, pseudo_num(acc): 0.6444, pseudo_num ig(acc): 0.3546, loss: 1.3039
2021-11-06 13:08:40,920 - mmdet - INFO - Iter [5900/40000]	lr: 2.000e-02, eta: 17:46:57, time: 1.704, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0498, loss_cls: 0.1499, acc: 94.2760, loss_bbox: 0.2401, loss_rpn_cls_unlabeled: 0.1115, loss_rpn_bbox_unlabeled: 0.1260, loss_cls_unlabeled: 0.2549, acc_unlabeled: 90.4791, loss_bbox_unlabeled: 0.2618, losses_cls_ig_unlabeled: 0.1543, pseudo_num: 1.9750, pseudo_num_ig: 6.3516, pseudo_num_mining: 0.4897, pseudo_num(acc): 0.6429, pseudo_num ig(acc): 0.3548, loss: 1.3722
2021-11-06 13:10:05,407 - mmdet - INFO - Iter [5950/40000]	lr: 2.000e-02, eta: 17:44:30, time: 1.690, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0477, loss_cls: 0.1493, acc: 94.2767, loss_bbox: 0.2358, loss_rpn_cls_unlabeled: 0.1036, loss_rpn_bbox_unlabeled: 0.1209, loss_cls_unlabeled: 0.2655, acc_unlabeled: 90.4023, loss_bbox_unlabeled: 0.2889, losses_cls_ig_unlabeled: 0.1438, pseudo_num: 1.9821, pseudo_num_ig: 6.3490, pseudo_num_mining: 0.4908, pseudo_num(acc): 0.6408, pseudo_num ig(acc): 0.3550, loss: 1.3785
2021-11-06 13:11:28,729 - mmdet - INFO - pseudo pos: 0.98(11173.0-person) 0.85(313.0-bicycle) 0.91(1972.0-car) 0.94(361.0-motorcycle) 0.96(161.0-airplane) 0.98(275.0-bus) 0.97(246.0-train) 0.65(421.0-truck) 0.58(485.0-boat) 0.85(684.0-traffic light) 0.98(105.0-fire hydrant) 1.00(93.0-stop sign) 0.53(93.0-parking meter) 0.53(424.0-bench) 0.86(385.0-bird) 0.92(241.0-cat) 0.89(244.0-dog) 0.92(344.0-horse) 0.96(247.0-sheep) 0.73(450.0-cow) 0.99(157.0-elephant) 1.00(50.0-bear) 0.99(310.0-zebra) 0.99(314.0-giraffe) 0.36(387.0-backpack) 0.77(509.0-umbrella) 0.37(610.0-handbag) 0.75(318.0-tie) 0.55(309.0-suitcase) 0.89(111.0-frisbee) 0.46(333.0-skis) 0.07(592.0-snowboard) 0.95(256.0-sports ball) 0.73(411.0-kite) 0.77(154.0-baseball bat) 0.65(243.0-baseball glove) 0.90(230.0-skateboard) 0.77(273.0-surfboard) 0.94(169.0-tennis racket) 0.80(957.0-bottle) 0.85(277.0-wine glass) 0.78(1055.0-cup) 0.27(229.0-fork) 0.23(525.0-knife) 0.23(330.0-spoon) 0.68(961.0-bowl) 0.54(427.0-banana) 0.22(713.0-apple) 0.22(992.0-sandwich) 0.24(498.0-orange) 0.68(310.0-broccoli) 0.41(354.0-carrot) 0.02(6110.0-hot dog) 0.92(266.0-pizza) 0.55(451.0-donut) 0.43(354.0-cake) 0.53(2365.0-chair) 0.58(270.0-couch) 0.63(485.0-potted plant) 0.83(215.0-bed) 0.66(989.0-dining table) 0.91(192.0-toilet) 0.90(286.0-tv) 0.93(232.0-laptop) 0.93(54.0-mouse) 0.48(238.0-remote) 0.76(143.0-keyboard) 0.58(331.0-cell phone) 0.90(102.0-microwave) 0.64(258.0-oven) 0.00(0.0-toaster) 0.76(314.0-sink) 0.78(145.0-refrigerator) 0.21(1109.0-book) 0.95(202.0-clock) 0.78(276.0-vase) 0.53(78.0-scissors) 0.93(131.0-teddy bear) 0.00(0.0-hair drier) 0.15(178.0-toothbrush)
2021-11-06 13:11:28,729 - mmdet - INFO - pseudo ig: 0.57(42329.0-person) 0.29(1215.0-bicycle) 0.43(7601.0-car) 0.47(1381.0-motorcycle) 0.67(455.0-airplane) 0.57(976.0-bus) 0.47(825.0-train) 0.30(1595.0-truck) 0.27(2059.0-boat) 0.23(3030.0-traffic light) 0.49(296.0-fire hydrant) 0.45(396.0-stop sign) 0.15(283.0-parking meter) 0.16(1763.0-bench) 0.32(1131.0-bird) 0.64(824.0-cat) 0.59(695.0-dog) 0.45(1112.0-horse) 0.58(908.0-sheep) 0.27(1764.0-cow) 0.77(654.0-elephant) 0.48(195.0-bear) 0.47(1228.0-zebra) 0.69(944.0-giraffe) 0.16(1506.0-backpack) 0.32(1744.0-umbrella) 0.12(2248.0-handbag) 0.22(1388.0-tie) 0.17(1125.0-suitcase) 0.33(528.0-frisbee) 0.23(1229.0-skis) 0.06(685.0-snowboard) 0.31(1104.0-sports ball) 0.28(1541.0-kite) 0.23(511.0-baseball bat) 0.16(1008.0-baseball glove) 0.36(850.0-skateboard) 0.32(1025.0-surfboard) 0.53(658.0-tennis racket) 0.29(4077.0-bottle) 0.33(1065.0-wine glass) 0.26(4360.0-cup) 0.14(789.0-fork) 0.09(1877.0-knife) 0.07(1499.0-spoon) 0.23(3705.0-bowl) 0.19(1837.0-banana) 0.08(1573.0-apple) 0.11(1276.0-sandwich) 0.17(654.0-orange) 0.27(1388.0-broccoli) 0.14(1701.0-carrot) 0.00(479.0-hot dog) 0.46(930.0-pizza) 0.19(1712.0-donut) 0.16(1110.0-cake) 0.17(10153.0-chair) 0.25(992.0-couch) 0.23(2067.0-potted plant) 0.38(760.0-bed) 0.26(2753.0-dining table) 0.58(664.0-toilet) 0.42(1066.0-tv) 0.42(765.0-laptop) 0.43(221.0-mouse) 0.16(942.0-remote) 0.40(476.0-keyboard) 0.19(1365.0-cell phone) 0.31(310.0-microwave) 0.16(715.0-oven) 0.00(0.0-toaster) 0.31(1051.0-sink) 0.26(450.0-refrigerator) 0.14(4455.0-book) 0.55(1064.0-clock) 0.32(934.0-vase) 0.20(257.0-scissors) 0.57(528.0-teddy bear) 0.00(0.0-hair drier) 0.05(495.0-toothbrush)
2021-11-06 13:11:28,870 - mmdet - INFO - pseudo gt: 53022.0 1415.0 9227.0 1884.0 1092.0 1335.0 965.0 2076.0 2193.0 2766.0 390.0 422.0 235.0 2176.0 2183.0 1019.0 1133.0 1420.0 1902.0 1514.0 1109.0 216.0 1086.0 1082.0 1834.0 2272.0 2593.0 1324.0 1215.0 547.0 1276.0 548.0 1349.0 1645.0 702.0 711.0 1111.0 1246.0 1003.0 4633.0 1598.0 4061.0 1080.0 1514.0 1206.0 2749.0 1932.0 1130.0 856.0 1182.0 1479.0 1531.0 651.0 1248.0 1370.0 1198.0 7901.0 1180.0 1897.0 904.0 3164.0 871.0 1240.0 1052.0 464.0 1185.0 605.0 1300.0 332.0 613.0 39.0 1155.0 516.0 5439.0 1289.0 1294.0 330.0 1045.0 39.0 481.0
2021-11-06 13:11:28,870 - mmdet - INFO - pseudo mining: 6704.0 24.0 707.0 53.0 55.0 74.0 50.0 16.0 53.0 159.0 46.0 176.0 0.0 4.0 11.0 69.0 15.0 48.0 145.0 25.0 186.0 16.0 173.0 246.0 7.0 98.0 1.0 31.0 3.0 58.0 10.0 0.0 205.0 218.0 25.0 52.0 28.0 18.0 155.0 236.0 14.0 145.0 2.0 4.0 1.0 92.0 24.0 27.0 16.0 40.0 41.0 20.0 0.0 35.0 10.0 3.0 15.0 3.0 69.0 6.0 33.0 148.0 132.0 49.0 48.0 11.0 24.0 22.0 14.0 6.0 0.0 35.0 2.0 17.0 505.0 11.0 2.0 53.0 0.0 0.0
2021-11-06 13:12:22,756 - mmdet - INFO - Evaluating bbox...
2021-11-06 13:13:27,565 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.366 | bicycle      | 0.123 | car            | 0.265 |
| motorcycle    | 0.184 | airplane     | 0.227 | bus            | 0.381 |
| train         | 0.303 | truck        | 0.140 | boat           | 0.095 |
| traffic light | 0.164 | fire hydrant | 0.380 | stop sign      | 0.448 |
| parking meter | 0.254 | bench        | 0.093 | bird           | 0.134 |
| cat           | 0.339 | dog          | 0.324 | horse          | 0.324 |
| sheep         | 0.256 | cow          | 0.287 | elephant       | 0.338 |
| bear          | 0.428 | zebra        | 0.383 | giraffe        | 0.456 |
| backpack      | 0.037 | umbrella     | 0.145 | handbag        | 0.030 |
| tie           | 0.136 | suitcase     | 0.071 | frisbee        | 0.313 |
| skis          | 0.034 | snowboard    | 0.026 | sports ball    | 0.291 |
| kite          | 0.181 | baseball bat | 0.085 | baseball glove | 0.176 |
| skateboard    | 0.183 | surfboard    | 0.098 | tennis racket  | 0.184 |
| bottle        | 0.187 | wine glass   | 0.138 | cup            | 0.225 |
| fork          | 0.013 | knife        | 0.020 | spoon          | 0.012 |
| bowl          | 0.194 | banana       | 0.075 | apple          | 0.063 |
| sandwich      | 0.105 | orange       | 0.130 | broccoli       | 0.113 |
| carrot        | 0.055 | hot dog      | 0.008 | pizza          | 0.259 |
| donut         | 0.142 | cake         | 0.065 | chair          | 0.083 |
| couch         | 0.188 | potted plant | 0.102 | bed            | 0.207 |
| dining table  | 0.080 | toilet       | 0.314 | tv             | 0.325 |
| laptop        | 0.304 | mouse        | 0.324 | remote         | 0.066 |
| keyboard      | 0.194 | cell phone   | 0.146 | microwave      | 0.330 |
| oven          | 0.143 | toaster      | 0.008 | sink           | 0.148 |
| refrigerator  | 0.224 | book         | 0.020 | clock          | 0.374 |
| vase          | 0.185 | scissors     | 0.044 | teddy bear     | 0.190 |
| hair drier    | 0.000 | toothbrush   | 0.029 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 13:14:22,739 - mmdet - INFO - Evaluating bbox...
2021-11-06 13:15:30,512 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.385 | bicycle      | 0.167 | car            | 0.287 |
| motorcycle    | 0.225 | airplane     | 0.283 | bus            | 0.432 |
| train         | 0.355 | truck        | 0.145 | boat           | 0.115 |
| traffic light | 0.192 | fire hydrant | 0.420 | stop sign      | 0.486 |
| parking meter | 0.276 | bench        | 0.103 | bird           | 0.158 |
| cat           | 0.390 | dog          | 0.348 | horse          | 0.360 |
| sheep         | 0.277 | cow          | 0.292 | elephant       | 0.397 |
| bear          | 0.478 | zebra        | 0.424 | giraffe        | 0.472 |
| backpack      | 0.048 | umbrella     | 0.166 | handbag        | 0.041 |
| tie           | 0.154 | suitcase     | 0.086 | frisbee        | 0.357 |
| skis          | 0.061 | snowboard    | 0.051 | sports ball    | 0.311 |
| kite          | 0.208 | baseball bat | 0.099 | baseball glove | 0.218 |
| skateboard    | 0.231 | surfboard    | 0.139 | tennis racket  | 0.244 |
| bottle        | 0.222 | wine glass   | 0.170 | cup            | 0.256 |
| fork          | 0.027 | knife        | 0.032 | spoon          | 0.018 |
| bowl          | 0.256 | banana       | 0.081 | apple          | 0.089 |
| sandwich      | 0.134 | orange       | 0.150 | broccoli       | 0.125 |
| carrot        | 0.055 | hot dog      | 0.017 | pizza          | 0.324 |
| donut         | 0.191 | cake         | 0.075 | chair          | 0.105 |
| couch         | 0.171 | potted plant | 0.118 | bed            | 0.235 |
| dining table  | 0.115 | toilet       | 0.338 | tv             | 0.352 |
| laptop        | 0.324 | mouse        | 0.350 | remote         | 0.072 |
| keyboard      | 0.233 | cell phone   | 0.163 | microwave      | 0.328 |
| oven          | 0.158 | toaster      | 0.019 | sink           | 0.172 |
| refrigerator  | 0.273 | book         | 0.027 | clock          | 0.376 |
| vase          | 0.203 | scissors     | 0.067 | teddy bear     | 0.242 |
| hair drier    | 0.000 | toothbrush   | 0.044 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 13:16:54,500 - mmdet - INFO - current percent: 0.2
2021-11-06 13:16:54,500 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (0.99-car) (1.00-motorcycle) (0.99-airplane) (1.00-bus) (0.99-train) (0.96-truck) (0.96-boat) (0.98-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.98-parking meter) (0.93-bench) (0.97-bird) (0.99-cat) (0.99-dog) (0.99-horse) (0.99-sheep) (0.97-cow) (1.00-elephant) (0.99-bear) (0.99-zebra) (1.00-giraffe) (0.87-backpack) (0.99-umbrella) (0.73-handbag) (0.96-tie) (0.88-suitcase) (0.99-frisbee) (0.92-skis) (0.89-snowboard) (0.98-sports ball) (0.99-kite) (0.97-baseball bat) (0.99-baseball glove) (0.98-skateboard) (0.97-surfboard) (1.00-tennis racket) (0.98-bottle) (0.98-wine glass) (0.97-cup) (0.93-fork) (0.86-knife) (0.79-spoon) (0.97-bowl) (0.94-banana) (0.87-apple) (0.59-sandwich) (0.98-orange) (0.98-broccoli) (0.85-carrot) (0.95-hot dog) (0.98-pizza) (0.90-donut) (0.86-cake) (0.89-chair) (0.94-couch) (0.97-potted plant) (0.97-bed) (0.96-dining table) (1.00-toilet) (0.99-tv) (0.99-laptop) (1.00-mouse) (0.91-remote) (0.99-keyboard) (0.96-cell phone) (0.98-microwave) (0.97-oven) (0.05-toaster) (0.99-sink) (0.98-refrigerator) (0.88-book) (1.00-clock) (0.97-vase) (0.61-scissors) (0.99-teddy bear) (0.05-hair drier) (0.52-toothbrush)
2021-11-06 13:16:54,500 - mmdet - INFO - update score thr (ignore): (0.28-person) (0.31-bicycle) (0.38-car) (0.35-motorcycle) (0.64-airplane) (0.39-bus) (0.37-train) (0.46-truck) (0.31-boat) (0.42-traffic light) (0.52-fire hydrant) (0.83-stop sign) (0.24-parking meter) (0.27-bench) (0.17-bird) (0.59-cat) (0.51-dog) (0.51-horse) (0.60-sheep) (0.37-cow) (0.40-elephant) (0.62-bear) (0.22-zebra) (0.15-giraffe) (0.33-backpack) (0.27-umbrella) (0.20-handbag) (0.24-tie) (0.19-suitcase) (0.47-frisbee) (0.33-skis) (0.51-snowboard) (0.30-sports ball) (0.58-kite) (0.38-baseball bat) (0.54-baseball glove) (0.27-skateboard) (0.36-surfboard) (0.52-tennis racket) (0.34-bottle) (0.21-wine glass) (0.29-cup) (0.16-fork) (0.27-knife) (0.24-spoon) (0.37-bowl) (0.43-banana) (0.28-apple) (0.18-sandwich) (0.63-orange) (0.44-broccoli) (0.32-carrot) (0.93-hot dog) (0.26-pizza) (0.35-donut) (0.25-cake) (0.22-chair) (0.39-couch) (0.38-potted plant) (0.49-bed) (0.41-dining table) (0.55-toilet) (0.56-tv) (0.45-laptop) (0.65-mouse) (0.31-remote) (0.48-keyboard) (0.41-cell phone) (0.42-microwave) (0.42-oven) (0.05-toaster) (0.46-sink) (0.48-refrigerator) (0.27-book) (0.69-clock) (0.29-vase) (0.12-scissors) (0.71-teddy bear) (0.05-hair drier) (0.09-toothbrush)
2021-11-06 13:16:54,824 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 13:16:54,824 - mmdet - INFO - Iter [6000/40000]	lr: 2.000e-02, eta: 17:42:07, time: 1.701, data_time: 0.027, memory: 26488, bbox_mAP: 0.2070, bbox_mAP_50: 0.3820, bbox_mAP_75: 0.2050, bbox_mAP_s: 0.1000, bbox_mAP_m: 0.2330, bbox_mAP_l: 0.2730, bbox_mAP_copypaste: 0.207 0.382 0.205 0.100 0.233 0.273, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0462, loss_cls: 0.1529, acc: 94.2379, loss_bbox: 0.2346, loss_rpn_cls_unlabeled: 0.1087, loss_rpn_bbox_unlabeled: 0.1218, loss_cls_unlabeled: 0.2851, acc_unlabeled: 90.1927, loss_bbox_unlabeled: 0.2973, losses_cls_ig_unlabeled: 0.1498, pseudo_num: 1.9908, pseudo_num_ig: 6.3476, pseudo_num_mining: 0.4920, pseudo_num(acc): 0.6380, pseudo_num ig(acc): 0.3552, loss: 1.4186
2021-11-06 13:18:18,969 - mmdet - INFO - Iter [6050/40000]	lr: 2.000e-02, eta: 18:09:59, time: 8.170, data_time: 6.513, memory: 26488, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0454, loss_cls: 0.1391, acc: 94.6715, loss_bbox: 0.2341, loss_rpn_cls_unlabeled: 0.0967, loss_rpn_bbox_unlabeled: 0.1051, loss_cls_unlabeled: 0.1833, acc_unlabeled: 90.9863, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1704, pseudo_num: 1.9933, pseudo_num_ig: 6.3448, pseudo_num_mining: 0.4934, pseudo_num(acc): 0.6369, pseudo_num ig(acc): 0.3556, loss: 1.1778
2021-11-06 13:19:44,231 - mmdet - INFO - Iter [6100/40000]	lr: 2.000e-02, eta: 18:07:20, time: 1.701, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0463, loss_cls: 0.1380, acc: 94.6971, loss_bbox: 0.2337, loss_rpn_cls_unlabeled: 0.0969, loss_rpn_bbox_unlabeled: 0.1076, loss_cls_unlabeled: 0.1783, acc_unlabeled: 91.0046, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1691, pseudo_num: 1.9900, pseudo_num_ig: 6.3424, pseudo_num_mining: 0.4950, pseudo_num(acc): 0.6379, pseudo_num ig(acc): 0.3559, loss: 1.1738
2021-11-06 13:21:08,343 - mmdet - INFO - Iter [6150/40000]	lr: 2.000e-02, eta: 18:04:38, time: 1.684, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0454, loss_cls: 0.1343, acc: 94.7993, loss_bbox: 0.2312, loss_rpn_cls_unlabeled: 0.0928, loss_rpn_bbox_unlabeled: 0.1032, loss_cls_unlabeled: 0.1789, acc_unlabeled: 91.0038, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1662, pseudo_num: 1.9865, pseudo_num_ig: 6.3396, pseudo_num_mining: 0.4965, pseudo_num(acc): 0.6390, pseudo_num ig(acc): 0.3562, loss: 1.1567
2021-11-06 13:22:35,507 - mmdet - INFO - Iter [6200/40000]	lr: 2.000e-02, eta: 18:02:14, time: 1.746, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0458, loss_cls: 0.1339, acc: 94.7805, loss_bbox: 0.2346, loss_rpn_cls_unlabeled: 0.0972, loss_rpn_bbox_unlabeled: 0.1053, loss_cls_unlabeled: 0.1779, acc_unlabeled: 91.1462, loss_bbox_unlabeled: 0.1830, losses_cls_ig_unlabeled: 0.1627, pseudo_num: 1.9828, pseudo_num_ig: 6.3355, pseudo_num_mining: 0.4978, pseudo_num(acc): 0.6401, pseudo_num ig(acc): 0.3565, loss: 1.1616
2021-11-06 13:24:02,270 - mmdet - INFO - Iter [6250/40000]	lr: 2.000e-02, eta: 17:59:47, time: 1.733, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0449, loss_cls: 0.1330, acc: 94.8429, loss_bbox: 0.2299, loss_rpn_cls_unlabeled: 0.1011, loss_rpn_bbox_unlabeled: 0.1094, loss_cls_unlabeled: 0.1818, acc_unlabeled: 91.0649, loss_bbox_unlabeled: 0.1841, losses_cls_ig_unlabeled: 0.1633, pseudo_num: 1.9797, pseudo_num_ig: 6.3315, pseudo_num_mining: 0.4990, pseudo_num(acc): 0.6413, pseudo_num ig(acc): 0.3568, loss: 1.1677
2021-11-06 13:25:25,625 - mmdet - INFO - Iter [6300/40000]	lr: 2.000e-02, eta: 17:57:04, time: 1.669, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0462, loss_cls: 0.1319, acc: 94.8865, loss_bbox: 0.2302, loss_rpn_cls_unlabeled: 0.0946, loss_rpn_bbox_unlabeled: 0.1062, loss_cls_unlabeled: 0.1754, acc_unlabeled: 90.9724, loss_bbox_unlabeled: 0.1790, losses_cls_ig_unlabeled: 0.1643, pseudo_num: 1.9763, pseudo_num_ig: 6.3286, pseudo_num_mining: 0.5005, pseudo_num(acc): 0.6424, pseudo_num ig(acc): 0.3572, loss: 1.1465
2021-11-06 13:26:52,788 - mmdet - INFO - Iter [6350/40000]	lr: 2.000e-02, eta: 17:54:41, time: 1.741, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0449, loss_cls: 0.1314, acc: 94.9260, loss_bbox: 0.2289, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.1037, loss_cls_unlabeled: 0.1760, acc_unlabeled: 91.1694, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1603, pseudo_num: 1.9726, pseudo_num_ig: 6.3255, pseudo_num_mining: 0.5020, pseudo_num(acc): 0.6433, pseudo_num ig(acc): 0.3575, loss: 1.1331
2021-11-06 13:28:16,555 - mmdet - INFO - Iter [6400/40000]	lr: 2.000e-02, eta: 17:52:03, time: 1.678, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0456, loss_cls: 0.1321, acc: 94.8367, loss_bbox: 0.2266, loss_rpn_cls_unlabeled: 0.0970, loss_rpn_bbox_unlabeled: 0.1056, loss_cls_unlabeled: 0.1768, acc_unlabeled: 90.9927, loss_bbox_unlabeled: 0.1785, losses_cls_ig_unlabeled: 0.1640, pseudo_num: 1.9691, pseudo_num_ig: 6.3226, pseudo_num_mining: 0.5035, pseudo_num(acc): 0.6442, pseudo_num ig(acc): 0.3578, loss: 1.1460
2021-11-06 13:29:41,616 - mmdet - INFO - Iter [6450/40000]	lr: 2.000e-02, eta: 17:49:32, time: 1.701, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0427, loss_cls: 0.1275, acc: 95.0463, loss_bbox: 0.2262, loss_rpn_cls_unlabeled: 0.0983, loss_rpn_bbox_unlabeled: 0.1078, loss_cls_unlabeled: 0.1779, acc_unlabeled: 91.1813, loss_bbox_unlabeled: 0.1856, losses_cls_ig_unlabeled: 0.1568, pseudo_num: 1.9663, pseudo_num_ig: 6.3210, pseudo_num_mining: 0.5051, pseudo_num(acc): 0.6452, pseudo_num ig(acc): 0.3581, loss: 1.1420
2021-11-06 13:31:05,675 - mmdet - INFO - pseudo pos: 0.98(12188.0-person) 0.85(339.0-bicycle) 0.91(2099.0-car) 0.95(385.0-motorcycle) 0.97(174.0-airplane) 0.98(294.0-bus) 0.97(265.0-train) 0.66(456.0-truck) 0.59(514.0-boat) 0.85(718.0-traffic light) 0.98(118.0-fire hydrant) 1.00(97.0-stop sign) 0.55(97.0-parking meter) 0.54(450.0-bench) 0.87(412.0-bird) 0.93(265.0-cat) 0.90(267.0-dog) 0.92(360.0-horse) 0.95(261.0-sheep) 0.74(473.0-cow) 0.99(165.0-elephant) 1.00(54.0-bear) 0.99(349.0-zebra) 0.99(339.0-giraffe) 0.37(422.0-backpack) 0.77(563.0-umbrella) 0.36(681.0-handbag) 0.76(327.0-tie) 0.57(333.0-suitcase) 0.90(119.0-frisbee) 0.47(351.0-skis) 0.08(599.0-snowboard) 0.96(289.0-sports ball) 0.74(452.0-kite) 0.77(165.0-baseball bat) 0.67(256.0-baseball glove) 0.91(252.0-skateboard) 0.77(288.0-surfboard) 0.94(177.0-tennis racket) 0.80(1018.0-bottle) 0.85(293.0-wine glass) 0.78(1133.0-cup) 0.28(242.0-fork) 0.24(548.0-knife) 0.22(361.0-spoon) 0.69(1021.0-bowl) 0.55(451.0-banana) 0.22(761.0-apple) 0.23(1041.0-sandwich) 0.25(505.0-orange) 0.67(326.0-broccoli) 0.40(377.0-carrot) 0.02(6204.0-hot dog) 0.92(296.0-pizza) 0.56(464.0-donut) 0.45(380.0-cake) 0.53(2530.0-chair) 0.59(290.0-couch) 0.63(517.0-potted plant) 0.84(231.0-bed) 0.66(1054.0-dining table) 0.92(203.0-toilet) 0.91(316.0-tv) 0.93(243.0-laptop) 0.93(58.0-mouse) 0.49(244.0-remote) 0.77(152.0-keyboard) 0.59(352.0-cell phone) 0.91(110.0-microwave) 0.65(269.0-oven) 0.00(0.0-toaster) 0.77(336.0-sink) 0.77(150.0-refrigerator) 0.22(1178.0-book) 0.95(219.0-clock) 0.79(294.0-vase) 0.52(81.0-scissors) 0.92(140.0-teddy bear) 0.00(0.0-hair drier) 0.17(191.0-toothbrush)
2021-11-06 13:31:05,946 - mmdet - INFO - pseudo ig: 0.57(45830.0-person) 0.29(1284.0-bicycle) 0.43(8074.0-car) 0.47(1482.0-motorcycle) 0.66(491.0-airplane) 0.56(1058.0-bus) 0.47(899.0-train) 0.29(1717.0-truck) 0.27(2200.0-boat) 0.23(3170.0-traffic light) 0.51(325.0-fire hydrant) 0.46(422.0-stop sign) 0.16(304.0-parking meter) 0.16(1881.0-bench) 0.32(1230.0-bird) 0.65(868.0-cat) 0.59(753.0-dog) 0.46(1167.0-horse) 0.59(970.0-sheep) 0.27(1913.0-cow) 0.76(701.0-elephant) 0.49(206.0-bear) 0.48(1312.0-zebra) 0.69(1050.0-giraffe) 0.17(1631.0-backpack) 0.32(1912.0-umbrella) 0.12(2518.0-handbag) 0.22(1456.0-tie) 0.18(1240.0-suitcase) 0.33(558.0-frisbee) 0.23(1297.0-skis) 0.06(709.0-snowboard) 0.31(1192.0-sports ball) 0.28(1633.0-kite) 0.23(572.0-baseball bat) 0.17(1056.0-baseball glove) 0.36(918.0-skateboard) 0.32(1070.0-surfboard) 0.55(707.0-tennis racket) 0.30(4369.0-bottle) 0.33(1123.0-wine glass) 0.26(4636.0-cup) 0.15(816.0-fork) 0.09(1991.0-knife) 0.07(1591.0-spoon) 0.23(3937.0-bowl) 0.19(1915.0-banana) 0.09(1739.0-apple) 0.12(1391.0-sandwich) 0.19(710.0-orange) 0.28(1494.0-broccoli) 0.13(1798.0-carrot) 0.00(492.0-hot dog) 0.46(1036.0-pizza) 0.20(1789.0-donut) 0.17(1189.0-cake) 0.18(10818.0-chair) 0.27(1070.0-couch) 0.23(2187.0-potted plant) 0.39(817.0-bed) 0.26(2980.0-dining table) 0.58(736.0-toilet) 0.43(1142.0-tv) 0.43(809.0-laptop) 0.46(244.0-mouse) 0.16(991.0-remote) 0.41(511.0-keyboard) 0.19(1463.0-cell phone) 0.30(330.0-microwave) 0.17(764.0-oven) 0.00(0.0-toaster) 0.32(1122.0-sink) 0.27(488.0-refrigerator) 0.14(4814.0-book) 0.56(1131.0-clock) 0.32(1010.0-vase) 0.19(279.0-scissors) 0.57(550.0-teddy bear) 0.00(0.0-hair drier) 0.05(532.0-toothbrush)
2021-11-06 13:31:05,946 - mmdet - INFO - pseudo gt: 57350.0 1517.0 9871.0 2019.0 1169.0 1457.0 1047.0 2221.0 2356.0 2935.0 436.0 453.0 260.0 2310.0 2374.0 1089.0 1239.0 1501.0 2058.0 1661.0 1167.0 239.0 1183.0 1191.0 1998.0 2469.0 2854.0 1378.0 1378.0 585.0 1371.0 589.0 1494.0 1802.0 751.0 776.0 1205.0 1331.0 1101.0 5023.0 1693.0 4357.0 1157.0 1620.0 1287.0 2931.0 2062.0 1249.0 928.0 1269.0 1583.0 1637.0 704.0 1368.0 1477.0 1335.0 8554.0 1268.0 2028.0 976.0 3425.0 943.0 1349.0 1138.0 506.0 1272.0 658.0 1388.0 353.0 657.0 42.0 1247.0 557.0 5850.0 1391.0 1377.0 343.0 1084.0 42.0 524.0
2021-11-06 13:31:05,947 - mmdet - INFO - pseudo mining: 7385.0 26.0 768.0 68.0 59.0 81.0 58.0 17.0 55.0 180.0 56.0 191.0 0.0 4.0 14.0 76.0 20.0 56.0 155.0 36.0 204.0 19.0 190.0 282.0 7.0 116.0 1.0 34.0 5.0 66.0 11.0 1.0 223.0 228.0 28.0 61.0 30.0 18.0 179.0 263.0 15.0 166.0 2.0 4.0 1.0 109.0 25.0 28.0 16.0 55.0 51.0 20.0 1.0 39.0 11.0 3.0 17.0 3.0 74.0 6.0 37.0 170.0 152.0 56.0 53.0 11.0 27.0 24.0 16.0 6.0 0.0 43.0 3.0 19.0 551.0 11.0 2.0 58.0 0.0 0.0
2021-11-06 13:31:07,419 - mmdet - INFO - Iter [6500/40000]	lr: 2.000e-02, eta: 17:47:05, time: 1.715, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0466, loss_cls: 0.1314, acc: 94.8888, loss_bbox: 0.2268, loss_rpn_cls_unlabeled: 0.0956, loss_rpn_bbox_unlabeled: 0.1022, loss_cls_unlabeled: 0.1745, acc_unlabeled: 91.3663, loss_bbox_unlabeled: 0.1791, losses_cls_ig_unlabeled: 0.1546, pseudo_num: 1.9635, pseudo_num_ig: 6.3170, pseudo_num_mining: 0.5064, pseudo_num(acc): 0.6462, pseudo_num ig(acc): 0.3583, loss: 1.1316
2021-11-06 13:32:30,386 - mmdet - INFO - Iter [6550/40000]	lr: 2.000e-02, eta: 17:44:25, time: 1.658, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0435, loss_cls: 0.1289, acc: 95.0116, loss_bbox: 0.2233, loss_rpn_cls_unlabeled: 0.0967, loss_rpn_bbox_unlabeled: 0.1049, loss_cls_unlabeled: 0.1846, acc_unlabeled: 91.1571, loss_bbox_unlabeled: 0.1852, losses_cls_ig_unlabeled: 0.1582, pseudo_num: 1.9605, pseudo_num_ig: 6.3125, pseudo_num_mining: 0.5075, pseudo_num(acc): 0.6472, pseudo_num ig(acc): 0.3585, loss: 1.1456
2021-11-06 13:33:56,492 - mmdet - INFO - Iter [6600/40000]	lr: 2.000e-02, eta: 17:42:02, time: 1.722, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0419, loss_cls: 0.1273, acc: 95.0818, loss_bbox: 0.2228, loss_rpn_cls_unlabeled: 0.0958, loss_rpn_bbox_unlabeled: 0.1020, loss_cls_unlabeled: 0.1837, acc_unlabeled: 91.1237, loss_bbox_unlabeled: 0.1901, losses_cls_ig_unlabeled: 0.1631, pseudo_num: 1.9580, pseudo_num_ig: 6.3100, pseudo_num_mining: 0.5086, pseudo_num(acc): 0.6482, pseudo_num ig(acc): 0.3588, loss: 1.1450
2021-11-06 13:35:20,340 - mmdet - INFO - Iter [6650/40000]	lr: 2.000e-02, eta: 17:39:29, time: 1.679, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0436, loss_cls: 0.1282, acc: 95.0085, loss_bbox: 0.2267, loss_rpn_cls_unlabeled: 0.0988, loss_rpn_bbox_unlabeled: 0.1020, loss_cls_unlabeled: 0.1886, acc_unlabeled: 90.9319, loss_bbox_unlabeled: 0.1953, losses_cls_ig_unlabeled: 0.1607, pseudo_num: 1.9556, pseudo_num_ig: 6.3069, pseudo_num_mining: 0.5099, pseudo_num(acc): 0.6492, pseudo_num ig(acc): 0.3590, loss: 1.1634
2021-11-06 13:36:44,779 - mmdet - INFO - Iter [6700/40000]	lr: 2.000e-02, eta: 17:37:00, time: 1.688, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0427, loss_cls: 0.1312, acc: 94.9260, loss_bbox: 0.2264, loss_rpn_cls_unlabeled: 0.0981, loss_rpn_bbox_unlabeled: 0.1028, loss_cls_unlabeled: 0.1821, acc_unlabeled: 91.1317, loss_bbox_unlabeled: 0.1882, losses_cls_ig_unlabeled: 0.1586, pseudo_num: 1.9534, pseudo_num_ig: 6.3043, pseudo_num_mining: 0.5112, pseudo_num(acc): 0.6501, pseudo_num ig(acc): 0.3593, loss: 1.1493
2021-11-06 13:38:07,924 - mmdet - INFO - Iter [6750/40000]	lr: 2.000e-02, eta: 17:34:25, time: 1.664, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0459, loss_cls: 0.1329, acc: 94.8618, loss_bbox: 0.2306, loss_rpn_cls_unlabeled: 0.0995, loss_rpn_bbox_unlabeled: 0.1081, loss_cls_unlabeled: 0.2000, acc_unlabeled: 91.0754, loss_bbox_unlabeled: 0.2032, losses_cls_ig_unlabeled: 0.1559, pseudo_num: 1.9515, pseudo_num_ig: 6.3006, pseudo_num_mining: 0.5123, pseudo_num(acc): 0.6510, pseudo_num ig(acc): 0.3595, loss: 1.1955
2021-11-06 13:39:33,034 - mmdet - INFO - Iter [6800/40000]	lr: 2.000e-02, eta: 17:32:00, time: 1.699, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0450, loss_cls: 0.1249, acc: 95.1409, loss_bbox: 0.2206, loss_rpn_cls_unlabeled: 0.0925, loss_rpn_bbox_unlabeled: 0.1056, loss_cls_unlabeled: 0.1760, acc_unlabeled: 91.1283, loss_bbox_unlabeled: 0.1814, losses_cls_ig_unlabeled: 0.1596, pseudo_num: 1.9497, pseudo_num_ig: 6.2978, pseudo_num_mining: 0.5135, pseudo_num(acc): 0.6519, pseudo_num ig(acc): 0.3596, loss: 1.1249
2021-11-06 13:40:57,584 - mmdet - INFO - Iter [6850/40000]	lr: 2.000e-02, eta: 17:29:34, time: 1.691, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0440, loss_cls: 0.1296, acc: 94.9507, loss_bbox: 0.2220, loss_rpn_cls_unlabeled: 0.0925, loss_rpn_bbox_unlabeled: 0.1017, loss_cls_unlabeled: 0.1867, acc_unlabeled: 91.2070, loss_bbox_unlabeled: 0.1889, losses_cls_ig_unlabeled: 0.1587, pseudo_num: 1.9471, pseudo_num_ig: 6.2929, pseudo_num_mining: 0.5143, pseudo_num(acc): 0.6528, pseudo_num ig(acc): 0.3598, loss: 1.1430
2021-11-06 13:42:22,976 - mmdet - INFO - Iter [6900/40000]	lr: 2.000e-02, eta: 17:27:14, time: 1.710, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0446, loss_cls: 0.1292, acc: 94.9902, loss_bbox: 0.2243, loss_rpn_cls_unlabeled: 0.0947, loss_rpn_bbox_unlabeled: 0.1029, loss_cls_unlabeled: 0.1890, acc_unlabeled: 91.1047, loss_bbox_unlabeled: 0.1949, losses_cls_ig_unlabeled: 0.1593, pseudo_num: 1.9452, pseudo_num_ig: 6.2890, pseudo_num_mining: 0.5152, pseudo_num(acc): 0.6537, pseudo_num ig(acc): 0.3599, loss: 1.1591
2021-11-06 13:43:47,581 - mmdet - INFO - Iter [6950/40000]	lr: 2.000e-02, eta: 17:24:50, time: 1.691, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0447, loss_cls: 0.1287, acc: 95.0095, loss_bbox: 0.2235, loss_rpn_cls_unlabeled: 0.0935, loss_rpn_bbox_unlabeled: 0.1050, loss_cls_unlabeled: 0.1872, acc_unlabeled: 90.9496, loss_bbox_unlabeled: 0.1896, losses_cls_ig_unlabeled: 0.1616, pseudo_num: 1.9431, pseudo_num_ig: 6.2854, pseudo_num_mining: 0.5162, pseudo_num(acc): 0.6545, pseudo_num ig(acc): 0.3601, loss: 1.1540
2021-11-06 13:45:08,194 - mmdet - INFO - pseudo pos: 0.98(13209.0-person) 0.84(365.0-bicycle) 0.91(2224.0-car) 0.95(410.0-motorcycle) 0.97(194.0-airplane) 0.98(310.0-bus) 0.97(279.0-train) 0.66(487.0-truck) 0.61(568.0-boat) 0.85(754.0-traffic light) 0.98(132.0-fire hydrant) 1.00(104.0-stop sign) 0.56(99.0-parking meter) 0.54(486.0-bench) 0.87(440.0-bird) 0.93(285.0-cat) 0.90(274.0-dog) 0.92(390.0-horse) 0.94(294.0-sheep) 0.76(525.0-cow) 0.99(181.0-elephant) 1.00(55.0-bear) 0.98(372.0-zebra) 0.99(368.0-giraffe) 0.38(444.0-backpack) 0.77(604.0-umbrella) 0.36(742.0-handbag) 0.77(349.0-tie) 0.59(363.0-suitcase) 0.90(122.0-frisbee) 0.47(375.0-skis) 0.08(604.0-snowboard) 0.96(302.0-sports ball) 0.74(479.0-kite) 0.77(175.0-baseball bat) 0.68(269.0-baseball glove) 0.91(278.0-skateboard) 0.78(308.0-surfboard) 0.95(185.0-tennis racket) 0.80(1087.0-bottle) 0.85(306.0-wine glass) 0.79(1203.0-cup) 0.28(249.0-fork) 0.24(574.0-knife) 0.22(394.0-spoon) 0.70(1106.0-bowl) 0.57(532.0-banana) 0.23(795.0-apple) 0.23(1141.0-sandwich) 0.26(511.0-orange) 0.68(345.0-broccoli) 0.40(432.0-carrot) 0.02(6204.0-hot dog) 0.93(325.0-pizza) 0.54(504.0-donut) 0.45(411.0-cake) 0.54(2707.0-chair) 0.61(319.0-couch) 0.62(549.0-potted plant) 0.84(242.0-bed) 0.66(1135.0-dining table) 0.90(217.0-toilet) 0.91(343.0-tv) 0.94(261.0-laptop) 0.94(63.0-mouse) 0.49(251.0-remote) 0.78(168.0-keyboard) 0.59(372.0-cell phone) 0.92(118.0-microwave) 0.65(283.0-oven) 0.00(0.0-toaster) 0.77(351.0-sink) 0.78(159.0-refrigerator) 0.22(1247.0-book) 0.96(246.0-clock) 0.80(313.0-vase) 0.52(87.0-scissors) 0.92(145.0-teddy bear) 0.00(0.0-hair drier) 0.18(199.0-toothbrush)
2021-11-06 13:45:08,195 - mmdet - INFO - pseudo ig: 0.57(49255.0-person) 0.29(1360.0-bicycle) 0.43(8515.0-car) 0.48(1568.0-motorcycle) 0.66(521.0-airplane) 0.56(1115.0-bus) 0.47(955.0-train) 0.29(1827.0-truck) 0.27(2386.0-boat) 0.24(3344.0-traffic light) 0.51(346.0-fire hydrant) 0.46(452.0-stop sign) 0.18(316.0-parking meter) 0.16(2017.0-bench) 0.33(1289.0-bird) 0.65(927.0-cat) 0.59(812.0-dog) 0.46(1247.0-horse) 0.60(1071.0-sheep) 0.28(2056.0-cow) 0.76(759.0-elephant) 0.51(221.0-bear) 0.49(1367.0-zebra) 0.69(1138.0-giraffe) 0.17(1741.0-backpack) 0.32(2051.0-umbrella) 0.12(2790.0-handbag) 0.23(1547.0-tie) 0.18(1319.0-suitcase) 0.35(596.0-frisbee) 0.24(1389.0-skis) 0.07(734.0-snowboard) 0.32(1267.0-sports ball) 0.28(1756.0-kite) 0.23(612.0-baseball bat) 0.17(1093.0-baseball glove) 0.36(1003.0-skateboard) 0.33(1159.0-surfboard) 0.56(750.0-tennis racket) 0.30(4629.0-bottle) 0.33(1170.0-wine glass) 0.27(4918.0-cup) 0.16(854.0-fork) 0.09(2108.0-knife) 0.07(1688.0-spoon) 0.23(4188.0-bowl) 0.20(2017.0-banana) 0.09(1908.0-apple) 0.11(1545.0-sandwich) 0.20(833.0-orange) 0.28(1572.0-broccoli) 0.14(1938.0-carrot) 0.00(492.0-hot dog) 0.45(1126.0-pizza) 0.19(1942.0-donut) 0.18(1274.0-cake) 0.18(11407.0-chair) 0.27(1156.0-couch) 0.23(2302.0-potted plant) 0.39(866.0-bed) 0.26(3206.0-dining table) 0.57(789.0-toilet) 0.43(1207.0-tv) 0.43(864.0-laptop) 0.47(271.0-mouse) 0.16(1039.0-remote) 0.42(558.0-keyboard) 0.19(1554.0-cell phone) 0.29(353.0-microwave) 0.18(817.0-oven) 0.00(0.0-toaster) 0.33(1205.0-sink) 0.28(524.0-refrigerator) 0.14(5183.0-book) 0.57(1213.0-clock) 0.32(1065.0-vase) 0.20(304.0-scissors) 0.57(586.0-teddy bear) 0.00(0.0-hair drier) 0.05(579.0-toothbrush)
2021-11-06 13:45:08,195 - mmdet - INFO - pseudo gt: 61649.0 1608.0 10487.0 2143.0 1256.0 1536.0 1115.0 2374.0 2543.0 3130.0 472.0 488.0 283.0 2470.0 2565.0 1177.0 1321.0 1624.0 2276.0 1831.0 1240.0 252.0 1248.0 1299.0 2145.0 2636.0 3062.0 1507.0 1481.0 622.0 1491.0 633.0 1584.0 1929.0 813.0 841.0 1293.0 1422.0 1163.0 5296.0 1780.0 4693.0 1225.0 1746.0 1389.0 3142.0 2258.0 1402.0 992.0 1398.0 1670.0 1787.0 753.0 1468.0 1571.0 1459.0 9078.0 1349.0 2144.0 1027.0 3700.0 1009.0 1445.0 1221.0 552.0 1361.0 719.0 1498.0 384.0 720.0 46.0 1337.0 606.0 6291.0 1516.0 1442.0 366.0 1165.0 49.0 545.0
2021-11-06 13:45:08,195 - mmdet - INFO - pseudo mining: 8039.0 27.0 852.0 81.0 64.0 87.0 64.0 22.0 62.0 196.0 62.0 205.0 2.0 6.0 21.0 89.0 23.0 69.0 194.0 44.0 223.0 25.0 210.0 316.0 9.0 128.0 1.0 38.0 6.0 76.0 11.0 2.0 242.0 265.0 31.0 62.0 33.0 19.0 194.0 285.0 17.0 186.0 2.0 4.0 1.0 116.0 29.0 31.0 16.0 76.0 55.0 23.0 1.0 47.0 21.0 3.0 20.0 3.0 80.0 6.0 39.0 185.0 166.0 64.0 62.0 11.0 35.0 28.0 19.0 7.0 0.0 59.0 4.0 20.0 599.0 11.0 2.0 63.0 0.0 0.0
2021-11-06 13:46:33,635 - mmdet - INFO - current percent: 0.2
2021-11-06 13:46:33,635 - mmdet - INFO - update score thr (positive): (1.00-person) (0.97-bicycle) (0.99-car) (0.99-motorcycle) (1.00-airplane) (1.00-bus) (0.99-train) (0.96-truck) (0.98-boat) (0.97-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.91-parking meter) (0.92-bench) (0.97-bird) (0.99-cat) (0.98-dog) (0.99-horse) (1.00-sheep) (0.95-cow) (1.00-elephant) (0.99-bear) (1.00-zebra) (1.00-giraffe) (0.90-backpack) (0.99-umbrella) (0.79-handbag) (0.97-tie) (0.90-suitcase) (0.99-frisbee) (0.93-skis) (0.84-snowboard) (0.99-sports ball) (0.98-kite) (0.99-baseball bat) (0.99-baseball glove) (0.99-skateboard) (0.97-surfboard) (1.00-tennis racket) (0.98-bottle) (0.95-wine glass) (0.98-cup) (0.91-fork) (0.86-knife) (0.82-spoon) (0.98-bowl) (0.95-banana) (0.93-apple) (0.99-sandwich) (0.98-orange) (0.98-broccoli) (0.94-carrot) (0.14-hot dog) (0.99-pizza) (0.99-donut) (0.94-cake) (0.91-chair) (0.97-couch) (0.97-potted plant) (0.98-bed) (0.98-dining table) (1.00-toilet) (0.99-tv) (1.00-laptop) (0.99-mouse) (0.84-remote) (0.99-keyboard) (0.97-cell phone) (0.98-microwave) (0.97-oven) (0.05-toaster) (0.99-sink) (0.98-refrigerator) (0.87-book) (1.00-clock) (0.98-vase) (0.97-scissors) (0.99-teddy bear) (0.05-hair drier) (0.73-toothbrush)
2021-11-06 13:46:33,635 - mmdet - INFO - update score thr (ignore): (0.28-person) (0.21-bicycle) (0.37-car) (0.27-motorcycle) (0.71-airplane) (0.34-bus) (0.36-train) (0.37-truck) (0.39-boat) (0.34-traffic light) (0.52-fire hydrant) (0.61-stop sign) (0.11-parking meter) (0.27-bench) (0.13-bird) (0.44-cat) (0.36-dog) (0.29-horse) (0.74-sheep) (0.26-cow) (0.52-elephant) (0.27-bear) (0.09-zebra) (0.16-giraffe) (0.37-backpack) (0.24-umbrella) (0.24-handbag) (0.23-tie) (0.20-suitcase) (0.51-frisbee) (0.35-skis) (0.31-snowboard) (0.31-sports ball) (0.40-kite) (0.45-baseball bat) (0.43-baseball glove) (0.32-skateboard) (0.32-surfboard) (0.63-tennis racket) (0.41-bottle) (0.14-wine glass) (0.30-cup) (0.12-fork) (0.29-knife) (0.26-spoon) (0.37-bowl) (0.26-banana) (0.34-apple) (0.85-sandwich) (0.64-orange) (0.51-broccoli) (0.52-carrot) (0.10-hot dog) (0.49-pizza) (0.56-donut) (0.29-cake) (0.21-chair) (0.56-couch) (0.40-potted plant) (0.45-bed) (0.42-dining table) (0.59-toilet) (0.54-tv) (0.46-laptop) (0.75-mouse) (0.19-remote) (0.62-keyboard) (0.39-cell phone) (0.47-microwave) (0.39-oven) (0.05-toaster) (0.47-sink) (0.48-refrigerator) (0.30-book) (0.60-clock) (0.32-vase) (0.53-scissors) (0.68-teddy bear) (0.05-hair drier) (0.17-toothbrush)
2021-11-06 13:46:33,888 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 13:46:33,888 - mmdet - INFO - Iter [7000/40000]	lr: 2.000e-02, eta: 17:22:15, time: 1.645, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0438, loss_cls: 0.1278, acc: 95.0922, loss_bbox: 0.2173, loss_rpn_cls_unlabeled: 0.0989, loss_rpn_bbox_unlabeled: 0.1046, loss_cls_unlabeled: 0.1899, acc_unlabeled: 91.0475, loss_bbox_unlabeled: 0.1934, losses_cls_ig_unlabeled: 0.1579, pseudo_num: 1.9413, pseudo_num_ig: 6.2822, pseudo_num_mining: 0.5172, pseudo_num(acc): 0.6554, pseudo_num ig(acc): 0.3602, loss: 1.1530
2021-11-06 13:47:58,322 - mmdet - INFO - Iter [7050/40000]	lr: 2.000e-02, eta: 17:26:25, time: 3.370, data_time: 1.711, memory: 26488, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0414, loss_cls: 0.1239, acc: 95.1967, loss_bbox: 0.2174, loss_rpn_cls_unlabeled: 0.0946, loss_rpn_bbox_unlabeled: 0.1001, loss_cls_unlabeled: 0.1696, acc_unlabeled: 91.4463, loss_bbox_unlabeled: 0.1711, losses_cls_ig_unlabeled: 0.1557, pseudo_num: 1.9385, pseudo_num_ig: 6.2782, pseudo_num_mining: 0.5186, pseudo_num(acc): 0.6562, pseudo_num ig(acc): 0.3605, loss: 1.0924
2021-11-06 13:49:24,226 - mmdet - INFO - Iter [7100/40000]	lr: 2.000e-02, eta: 17:24:06, time: 1.716, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0433, loss_cls: 0.1279, acc: 95.0538, loss_bbox: 0.2258, loss_rpn_cls_unlabeled: 0.0948, loss_rpn_bbox_unlabeled: 0.1038, loss_cls_unlabeled: 0.1737, acc_unlabeled: 91.1364, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1661, pseudo_num: 1.9353, pseudo_num_ig: 6.2763, pseudo_num_mining: 0.5204, pseudo_num(acc): 0.6571, pseudo_num ig(acc): 0.3609, loss: 1.1301
2021-11-06 13:50:48,926 - mmdet - INFO - Iter [7150/40000]	lr: 2.000e-02, eta: 17:21:43, time: 1.697, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0419, loss_cls: 0.1230, acc: 95.2036, loss_bbox: 0.2152, loss_rpn_cls_unlabeled: 0.0996, loss_rpn_bbox_unlabeled: 0.1030, loss_cls_unlabeled: 0.1764, acc_unlabeled: 91.0499, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1643, pseudo_num: 1.9322, pseudo_num_ig: 6.2751, pseudo_num_mining: 0.5224, pseudo_num(acc): 0.6580, pseudo_num ig(acc): 0.3612, loss: 1.1217
2021-11-06 13:52:13,999 - mmdet - INFO - Iter [7200/40000]	lr: 2.000e-02, eta: 17:19:22, time: 1.700, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0437, loss_cls: 0.1276, acc: 95.0352, loss_bbox: 0.2221, loss_rpn_cls_unlabeled: 0.0985, loss_rpn_bbox_unlabeled: 0.1009, loss_cls_unlabeled: 0.1687, acc_unlabeled: 91.3838, loss_bbox_unlabeled: 0.1705, losses_cls_ig_unlabeled: 0.1601, pseudo_num: 1.9289, pseudo_num_ig: 6.2730, pseudo_num_mining: 0.5242, pseudo_num(acc): 0.6589, pseudo_num ig(acc): 0.3614, loss: 1.1116
2021-11-06 13:53:37,811 - mmdet - INFO - Iter [7250/40000]	lr: 2.000e-02, eta: 17:16:57, time: 1.678, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0417, loss_cls: 0.1232, acc: 95.1864, loss_bbox: 0.2148, loss_rpn_cls_unlabeled: 0.0949, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1767, acc_unlabeled: 91.2662, loss_bbox_unlabeled: 0.1788, losses_cls_ig_unlabeled: 0.1581, pseudo_num: 1.9258, pseudo_num_ig: 6.2694, pseudo_num_mining: 0.5258, pseudo_num(acc): 0.6598, pseudo_num ig(acc): 0.3617, loss: 1.1078
2021-11-06 13:55:02,522 - mmdet - INFO - Iter [7300/40000]	lr: 2.000e-02, eta: 17:14:35, time: 1.691, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0434, loss_cls: 0.1229, acc: 95.2269, loss_bbox: 0.2166, loss_rpn_cls_unlabeled: 0.0963, loss_rpn_bbox_unlabeled: 0.1014, loss_cls_unlabeled: 0.1686, acc_unlabeled: 91.1448, loss_bbox_unlabeled: 0.1703, losses_cls_ig_unlabeled: 0.1607, pseudo_num: 1.9232, pseudo_num_ig: 6.2675, pseudo_num_mining: 0.5273, pseudo_num(acc): 0.6608, pseudo_num ig(acc): 0.3619, loss: 1.0986
2021-11-06 13:57:43,613 - mmdet - INFO - Iter [7350/40000]	lr: 2.000e-02, eta: 17:17:54, time: 3.222, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0441, loss_cls: 0.1235, acc: 95.1869, loss_bbox: 0.2173, loss_rpn_cls_unlabeled: 0.0946, loss_rpn_bbox_unlabeled: 0.1043, loss_cls_unlabeled: 0.1689, acc_unlabeled: 91.4440, loss_bbox_unlabeled: 0.1775, losses_cls_ig_unlabeled: 0.1568, pseudo_num: 1.9201, pseudo_num_ig: 6.2640, pseudo_num_mining: 0.5285, pseudo_num(acc): 0.6617, pseudo_num ig(acc): 0.3622, loss: 1.1057
2021-11-06 13:59:07,007 - mmdet - INFO - Iter [7400/40000]	lr: 2.000e-02, eta: 17:15:27, time: 1.670, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0457, loss_cls: 0.1279, acc: 95.0248, loss_bbox: 0.2235, loss_rpn_cls_unlabeled: 0.0923, loss_rpn_bbox_unlabeled: 0.0993, loss_cls_unlabeled: 0.1702, acc_unlabeled: 91.4073, loss_bbox_unlabeled: 0.1766, losses_cls_ig_unlabeled: 0.1595, pseudo_num: 1.9175, pseudo_num_ig: 6.2602, pseudo_num_mining: 0.5297, pseudo_num(acc): 0.6625, pseudo_num ig(acc): 0.3625, loss: 1.1137
2021-11-06 14:00:31,384 - mmdet - INFO - Iter [7450/40000]	lr: 2.000e-02, eta: 17:13:04, time: 1.688, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0433, loss_cls: 0.1224, acc: 95.2087, loss_bbox: 0.2184, loss_rpn_cls_unlabeled: 0.0958, loss_rpn_bbox_unlabeled: 0.1048, loss_cls_unlabeled: 0.1742, acc_unlabeled: 91.3029, loss_bbox_unlabeled: 0.1807, losses_cls_ig_unlabeled: 0.1615, pseudo_num: 1.9150, pseudo_num_ig: 6.2568, pseudo_num_mining: 0.5310, pseudo_num(acc): 0.6634, pseudo_num ig(acc): 0.3628, loss: 1.1195
2021-11-06 14:01:56,994 - mmdet - INFO - pseudo pos: 0.98(14168.0-person) 0.85(395.0-bicycle) 0.92(2366.0-car) 0.95(441.0-motorcycle) 0.97(205.0-airplane) 0.98(336.0-bus) 0.97(301.0-train) 0.67(519.0-truck) 0.61(610.0-boat) 0.85(788.0-traffic light) 0.99(145.0-fire hydrant) 1.00(114.0-stop sign) 0.58(106.0-parking meter) 0.54(515.0-bench) 0.88(467.0-bird) 0.93(303.0-cat) 0.90(290.0-dog) 0.93(416.0-horse) 0.94(309.0-sheep) 0.77(579.0-cow) 0.99(194.0-elephant) 1.00(57.0-bear) 0.99(407.0-zebra) 0.99(388.0-giraffe) 0.38(468.0-backpack) 0.77(640.0-umbrella) 0.37(795.0-handbag) 0.78(362.0-tie) 0.59(376.0-suitcase) 0.90(132.0-frisbee) 0.49(397.0-skis) 0.08(605.0-snowboard) 0.96(328.0-sports ball) 0.73(520.0-kite) 0.78(183.0-baseball bat) 0.69(281.0-baseball glove) 0.92(294.0-skateboard) 0.77(330.0-surfboard) 0.95(188.0-tennis racket) 0.80(1168.0-bottle) 0.86(325.0-wine glass) 0.78(1269.0-cup) 0.28(260.0-fork) 0.24(603.0-knife) 0.22(423.0-spoon) 0.70(1187.0-bowl) 0.57(551.0-banana) 0.23(802.0-apple) 0.24(1151.0-sandwich) 0.26(513.0-orange) 0.67(366.0-broccoli) 0.41(462.0-carrot) 0.02(6215.0-hot dog) 0.93(346.0-pizza) 0.55(517.0-donut) 0.46(425.0-cake) 0.54(2876.0-chair) 0.62(345.0-couch) 0.63(584.0-potted plant) 0.84(256.0-bed) 0.67(1198.0-dining table) 0.91(229.0-toilet) 0.91(365.0-tv) 0.94(270.0-laptop) 0.94(69.0-mouse) 0.51(275.0-remote) 0.78(176.0-keyboard) 0.60(391.0-cell phone) 0.92(118.0-microwave) 0.65(291.0-oven) 0.00(1.0-toaster) 0.77(375.0-sink) 0.79(166.0-refrigerator) 0.22(1317.0-book) 0.96(268.0-clock) 0.80(323.0-vase) 0.53(89.0-scissors) 0.92(155.0-teddy bear) 0.00(0.0-hair drier) 0.18(207.0-toothbrush)
2021-11-06 14:01:56,995 - mmdet - INFO - pseudo ig: 0.57(53106.0-person) 0.29(1455.0-bicycle) 0.44(9065.0-car) 0.47(1665.0-motorcycle) 0.67(574.0-airplane) 0.56(1207.0-bus) 0.48(1020.0-train) 0.30(1961.0-truck) 0.27(2519.0-boat) 0.24(3490.0-traffic light) 0.51(373.0-fire hydrant) 0.47(490.0-stop sign) 0.19(337.0-parking meter) 0.16(2114.0-bench) 0.32(1377.0-bird) 0.65(982.0-cat) 0.59(876.0-dog) 0.47(1362.0-horse) 0.61(1194.0-sheep) 0.27(2269.0-cow) 0.77(833.0-elephant) 0.51(255.0-bear) 0.48(1514.0-zebra) 0.69(1209.0-giraffe) 0.17(1845.0-backpack) 0.33(2255.0-umbrella) 0.12(3004.0-handbag) 0.23(1618.0-tie) 0.18(1407.0-suitcase) 0.36(629.0-frisbee) 0.24(1488.0-skis) 0.08(767.0-snowboard) 0.32(1357.0-sports ball) 0.28(1941.0-kite) 0.24(661.0-baseball bat) 0.18(1144.0-baseball glove) 0.37(1069.0-skateboard) 0.33(1237.0-surfboard) 0.58(792.0-tennis racket) 0.30(4950.0-bottle) 0.33(1236.0-wine glass) 0.26(5216.0-cup) 0.16(906.0-fork) 0.09(2250.0-knife) 0.08(1783.0-spoon) 0.23(4476.0-bowl) 0.20(2104.0-banana) 0.09(1967.0-apple) 0.12(1582.0-sandwich) 0.20(858.0-orange) 0.29(1666.0-broccoli) 0.14(2038.0-carrot) 0.00(511.0-hot dog) 0.45(1190.0-pizza) 0.20(2020.0-donut) 0.18(1347.0-cake) 0.18(12103.0-chair) 0.27(1237.0-couch) 0.23(2414.0-potted plant) 0.40(933.0-bed) 0.27(3425.0-dining table) 0.56(868.0-toilet) 0.44(1281.0-tv) 0.45(916.0-laptop) 0.47(287.0-mouse) 0.17(1115.0-remote) 0.41(584.0-keyboard) 0.19(1643.0-cell phone) 0.30(372.0-microwave) 0.18(855.0-oven) 0.00(0.0-toaster) 0.34(1267.0-sink) 0.28(558.0-refrigerator) 0.13(5486.0-book) 0.57(1279.0-clock) 0.32(1141.0-vase) 0.21(319.0-scissors) 0.57(619.0-teddy bear) 0.00(0.0-hair drier) 0.05(608.0-toothbrush)
2021-11-06 14:01:56,995 - mmdet - INFO - pseudo gt: 66106.0 1714.0 11265.0 2287.0 1361.0 1667.0 1187.0 2548.0 2744.0 3297.0 508.0 544.0 304.0 2596.0 2719.0 1274.0 1399.0 1764.0 2531.0 1983.0 1360.0 275.0 1363.0 1375.0 2299.0 2876.0 3265.0 1617.0 1565.0 664.0 1591.0 676.0 1703.0 2104.0 866.0 906.0 1382.0 1512.0 1233.0 5707.0 1872.0 4980.0 1317.0 1895.0 1485.0 3400.0 2354.0 1460.0 1068.0 1461.0 1826.0 1975.0 811.0 1590.0 1671.0 1560.0 9826.0 1445.0 2295.0 1109.0 3949.0 1098.0 1542.0 1299.0 585.0 1481.0 758.0 1589.0 399.0 759.0 55.0 1428.0 643.0 6701.0 1611.0 1563.0 383.0 1233.0 50.0 574.0
2021-11-06 14:01:56,997 - mmdet - INFO - pseudo mining: 8850.0 28.0 948.0 87.0 74.0 107.0 73.0 27.0 68.0 210.0 70.0 228.0 2.0 8.0 21.0 93.0 29.0 83.0 243.0 45.0 254.0 31.0 233.0 339.0 10.0 152.0 1.0 41.0 6.0 79.0 11.0 2.0 267.0 313.0 37.0 67.0 38.0 22.0 220.0 321.0 17.0 212.0 2.0 5.0 1.0 138.0 33.0 31.0 24.0 83.0 67.0 31.0 1.0 53.0 36.0 5.0 25.0 4.0 86.0 7.0 42.0 213.0 181.0 77.0 68.0 11.0 39.0 33.0 22.0 7.0 0.0 66.0 6.0 20.0 637.0 14.0 2.0 75.0 0.0 0.0
2021-11-06 14:01:58,468 - mmdet - INFO - Iter [7500/40000]	lr: 2.000e-02, eta: 17:10:53, time: 1.741, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0469, loss_cls: 0.1287, acc: 95.0010, loss_bbox: 0.2262, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.1035, loss_cls_unlabeled: 0.1703, acc_unlabeled: 91.4160, loss_bbox_unlabeled: 0.1779, losses_cls_ig_unlabeled: 0.1564, pseudo_num: 1.9125, pseudo_num_ig: 6.2541, pseudo_num_mining: 0.5323, pseudo_num(acc): 0.6643, pseudo_num ig(acc): 0.3630, loss: 1.1193
2021-11-06 14:03:21,785 - mmdet - INFO - Iter [7550/40000]	lr: 2.000e-02, eta: 17:08:27, time: 1.667, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0423, loss_cls: 0.1200, acc: 95.3390, loss_bbox: 0.2135, loss_rpn_cls_unlabeled: 0.0949, loss_rpn_bbox_unlabeled: 0.1009, loss_cls_unlabeled: 0.1805, acc_unlabeled: 91.3285, loss_bbox_unlabeled: 0.1843, losses_cls_ig_unlabeled: 0.1587, pseudo_num: 1.9103, pseudo_num_ig: 6.2502, pseudo_num_mining: 0.5332, pseudo_num(acc): 0.6652, pseudo_num ig(acc): 0.3633, loss: 1.1125
2021-11-06 14:04:45,667 - mmdet - INFO - Iter [7600/40000]	lr: 2.000e-02, eta: 17:06:04, time: 1.677, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0424, loss_cls: 0.1153, acc: 95.4828, loss_bbox: 0.2112, loss_rpn_cls_unlabeled: 0.0931, loss_rpn_bbox_unlabeled: 0.1006, loss_cls_unlabeled: 0.1738, acc_unlabeled: 91.5250, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1529, pseudo_num: 1.9083, pseudo_num_ig: 6.2469, pseudo_num_mining: 0.5347, pseudo_num(acc): 0.6660, pseudo_num ig(acc): 0.3635, loss: 1.0913
2021-11-06 14:06:11,027 - mmdet - INFO - Iter [7650/40000]	lr: 2.000e-02, eta: 17:03:48, time: 1.707, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0441, loss_cls: 0.1267, acc: 95.0128, loss_bbox: 0.2256, loss_rpn_cls_unlabeled: 0.0940, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1771, acc_unlabeled: 91.4407, loss_bbox_unlabeled: 0.1864, losses_cls_ig_unlabeled: 0.1535, pseudo_num: 1.9066, pseudo_num_ig: 6.2434, pseudo_num_mining: 0.5359, pseudo_num(acc): 0.6669, pseudo_num ig(acc): 0.3638, loss: 1.1263
2021-11-06 14:07:35,756 - mmdet - INFO - Iter [7700/40000]	lr: 2.000e-02, eta: 17:01:31, time: 1.696, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0415, loss_cls: 0.1208, acc: 95.2933, loss_bbox: 0.2133, loss_rpn_cls_unlabeled: 0.0959, loss_rpn_bbox_unlabeled: 0.1030, loss_cls_unlabeled: 0.1834, acc_unlabeled: 91.5261, loss_bbox_unlabeled: 0.1909, losses_cls_ig_unlabeled: 0.1475, pseudo_num: 1.9054, pseudo_num_ig: 6.2406, pseudo_num_mining: 0.5373, pseudo_num(acc): 0.6676, pseudo_num ig(acc): 0.3640, loss: 1.1139
2021-11-06 14:08:59,210 - mmdet - INFO - Iter [7750/40000]	lr: 2.000e-02, eta: 16:59:08, time: 1.668, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0424, loss_cls: 0.1202, acc: 95.3046, loss_bbox: 0.2144, loss_rpn_cls_unlabeled: 0.0936, loss_rpn_bbox_unlabeled: 0.1014, loss_cls_unlabeled: 0.1870, acc_unlabeled: 91.1876, loss_bbox_unlabeled: 0.1920, losses_cls_ig_unlabeled: 0.1569, pseudo_num: 1.9036, pseudo_num_ig: 6.2362, pseudo_num_mining: 0.5383, pseudo_num(acc): 0.6683, pseudo_num ig(acc): 0.3642, loss: 1.1264
2021-11-06 14:10:22,766 - mmdet - INFO - Iter [7800/40000]	lr: 2.000e-02, eta: 16:56:47, time: 1.671, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0447, loss_cls: 0.1223, acc: 95.2208, loss_bbox: 0.2165, loss_rpn_cls_unlabeled: 0.0945, loss_rpn_bbox_unlabeled: 0.0995, loss_cls_unlabeled: 0.1862, acc_unlabeled: 91.5558, loss_bbox_unlabeled: 0.1974, losses_cls_ig_unlabeled: 0.1489, pseudo_num: 1.9024, pseudo_num_ig: 6.2325, pseudo_num_mining: 0.5395, pseudo_num(acc): 0.6688, pseudo_num ig(acc): 0.3645, loss: 1.1285
2021-11-06 14:11:47,517 - mmdet - INFO - Iter [7850/40000]	lr: 2.000e-02, eta: 16:54:31, time: 1.695, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0432, loss_cls: 0.1240, acc: 95.2014, loss_bbox: 0.2208, loss_rpn_cls_unlabeled: 0.0975, loss_rpn_bbox_unlabeled: 0.1062, loss_cls_unlabeled: 0.1887, acc_unlabeled: 91.2253, loss_bbox_unlabeled: 0.1978, losses_cls_ig_unlabeled: 0.1545, pseudo_num: 1.9016, pseudo_num_ig: 6.2292, pseudo_num_mining: 0.5409, pseudo_num(acc): 0.6693, pseudo_num ig(acc): 0.3647, loss: 1.1518
2021-11-06 14:13:10,281 - mmdet - INFO - Iter [7900/40000]	lr: 2.000e-02, eta: 16:52:08, time: 1.654, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0414, loss_cls: 0.1230, acc: 95.2197, loss_bbox: 0.2112, loss_rpn_cls_unlabeled: 0.0916, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1897, acc_unlabeled: 91.4230, loss_bbox_unlabeled: 0.1938, losses_cls_ig_unlabeled: 0.1521, pseudo_num: 1.9003, pseudo_num_ig: 6.2253, pseudo_num_mining: 0.5420, pseudo_num(acc): 0.6696, pseudo_num ig(acc): 0.3649, loss: 1.1184
2021-11-06 14:14:36,201 - mmdet - INFO - Iter [7950/40000]	lr: 2.000e-02, eta: 16:49:58, time: 1.719, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0438, loss_cls: 0.1287, acc: 95.0177, loss_bbox: 0.2205, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.1042, loss_cls_unlabeled: 0.2049, acc_unlabeled: 91.0524, loss_bbox_unlabeled: 0.2113, losses_cls_ig_unlabeled: 0.1545, pseudo_num: 1.8994, pseudo_num_ig: 6.2218, pseudo_num_mining: 0.5431, pseudo_num(acc): 0.6699, pseudo_num ig(acc): 0.3651, loss: 1.1769
2021-11-06 14:15:59,114 - mmdet - INFO - pseudo pos: 0.98(15190.0-person) 0.85(420.0-bicycle) 0.92(2508.0-car) 0.96(461.0-motorcycle) 0.97(218.0-airplane) 0.98(352.0-bus) 0.97(312.0-train) 0.66(552.0-truck) 0.62(645.0-boat) 0.85(858.0-traffic light) 0.99(150.0-fire hydrant) 0.99(122.0-stop sign) 0.59(110.0-parking meter) 0.55(551.0-bench) 0.87(486.0-bird) 0.93(329.0-cat) 0.91(315.0-dog) 0.93(455.0-horse) 0.95(313.0-sheep) 0.76(655.0-cow) 0.99(204.0-elephant) 1.00(65.0-bear) 0.99(441.0-zebra) 1.00(417.0-giraffe) 0.38(499.0-backpack) 0.77(668.0-umbrella) 0.37(838.0-handbag) 0.78(383.0-tie) 0.59(395.0-suitcase) 0.91(137.0-frisbee) 0.50(422.0-skis) 0.09(613.0-snowboard) 0.96(361.0-sports ball) 0.73(559.0-kite) 0.79(194.0-baseball bat) 0.70(302.0-baseball glove) 0.92(309.0-skateboard) 0.76(352.0-surfboard) 0.94(196.0-tennis racket) 0.80(1235.0-bottle) 0.87(349.0-wine glass) 0.79(1321.0-cup) 0.29(274.0-fork) 0.24(629.0-knife) 0.23(458.0-spoon) 0.70(1259.0-bowl) 0.56(580.0-banana) 0.23(824.0-apple) 0.24(1155.0-sandwich) 0.27(519.0-orange) 0.67(393.0-broccoli) 0.41(480.0-carrot) 0.02(6518.0-hot dog) 0.93(364.0-pizza) 0.56(533.0-donut) 0.47(446.0-cake) 0.55(3051.0-chair) 0.63(363.0-couch) 0.63(615.0-potted plant) 0.85(275.0-bed) 0.67(1261.0-dining table) 0.91(241.0-toilet) 0.92(396.0-tv) 0.94(282.0-laptop) 0.94(78.0-mouse) 0.53(298.0-remote) 0.77(189.0-keyboard) 0.60(408.0-cell phone) 0.92(122.0-microwave) 0.66(303.0-oven) 0.00(1.0-toaster) 0.77(399.0-sink) 0.80(177.0-refrigerator) 0.23(1392.0-book) 0.95(302.0-clock) 0.80(341.0-vase) 0.54(95.0-scissors) 0.93(166.0-teddy bear) 0.00(0.0-hair drier) 0.18(209.0-toothbrush)
2021-11-06 14:15:59,115 - mmdet - INFO - pseudo ig: 0.57(56288.0-person) 0.29(1556.0-bicycle) 0.44(9516.0-car) 0.47(1744.0-motorcycle) 0.68(604.0-airplane) 0.57(1298.0-bus) 0.48(1091.0-train) 0.30(2093.0-truck) 0.28(2634.0-boat) 0.24(3689.0-traffic light) 0.51(395.0-fire hydrant) 0.47(520.0-stop sign) 0.18(354.0-parking meter) 0.16(2204.0-bench) 0.32(1466.0-bird) 0.65(1048.0-cat) 0.59(945.0-dog) 0.47(1476.0-horse) 0.62(1253.0-sheep) 0.27(2478.0-cow) 0.78(918.0-elephant) 0.51(284.0-bear) 0.47(1623.0-zebra) 0.68(1293.0-giraffe) 0.17(1923.0-backpack) 0.33(2385.0-umbrella) 0.12(3166.0-handbag) 0.24(1675.0-tie) 0.18(1477.0-suitcase) 0.36(650.0-frisbee) 0.24(1569.0-skis) 0.09(803.0-snowboard) 0.33(1470.0-sports ball) 0.28(2061.0-kite) 0.24(704.0-baseball bat) 0.19(1195.0-baseball glove) 0.37(1146.0-skateboard) 0.33(1314.0-surfboard) 0.59(855.0-tennis racket) 0.30(5246.0-bottle) 0.32(1343.0-wine glass) 0.27(5515.0-cup) 0.16(939.0-fork) 0.09(2376.0-knife) 0.08(1879.0-spoon) 0.24(4747.0-bowl) 0.20(2212.0-banana) 0.09(2050.0-apple) 0.13(1607.0-sandwich) 0.20(882.0-orange) 0.30(1757.0-broccoli) 0.14(2121.0-carrot) 0.01(594.0-hot dog) 0.46(1263.0-pizza) 0.21(2099.0-donut) 0.18(1410.0-cake) 0.18(12705.0-chair) 0.27(1293.0-couch) 0.23(2549.0-potted plant) 0.39(981.0-bed) 0.27(3644.0-dining table) 0.57(944.0-toilet) 0.44(1378.0-tv) 0.46(982.0-laptop) 0.48(304.0-mouse) 0.17(1207.0-remote) 0.41(611.0-keyboard) 0.19(1735.0-cell phone) 0.32(402.0-microwave) 0.19(925.0-oven) 0.00(0.0-toaster) 0.34(1359.0-sink) 0.28(603.0-refrigerator) 0.13(5857.0-book) 0.57(1343.0-clock) 0.32(1224.0-vase) 0.21(330.0-scissors) 0.58(651.0-teddy bear) 0.00(0.0-hair drier) 0.04(639.0-toothbrush)
2021-11-06 14:15:59,115 - mmdet - INFO - pseudo gt: 70209.0 1841.0 11917.0 2391.0 1447.0 1770.0 1247.0 2700.0 2898.0 3497.0 536.0 574.0 322.0 2754.0 2873.0 1358.0 1485.0 1933.0 2671.0 2151.0 1497.0 301.0 1457.0 1461.0 2428.0 3072.0 3470.0 1706.0 1638.0 694.0 1740.0 717.0 1847.0 2245.0 927.0 965.0 1489.0 1595.0 1340.0 6045.0 1987.0 5341.0 1414.0 1998.0 1582.0 3667.0 2480.0 1516.0 1177.0 1526.0 1919.0 2075.0 833.0 1698.0 1790.0 1661.0 10450.0 1524.0 2442.0 1174.0 4220.0 1192.0 1648.0 1404.0 633.0 1624.0 822.0 1677.0 430.0 813.0 59.0 1533.0 690.0 7135.0 1730.0 1660.0 399.0 1310.0 51.0 597.0
2021-11-06 14:15:59,115 - mmdet - INFO - pseudo mining: 9500.0 28.0 1031.0 95.0 79.0 126.0 78.0 32.0 79.0 228.0 70.0 237.0 2.0 8.0 23.0 102.0 32.0 95.0 266.0 51.0 288.0 35.0 252.0 358.0 11.0 164.0 1.0 41.0 7.0 80.0 13.0 2.0 307.0 333.0 43.0 76.0 44.0 24.0 249.0 342.0 18.0 232.0 2.0 7.0 1.0 157.0 36.0 32.0 30.0 86.0 82.0 37.0 1.0 62.0 48.0 7.0 32.0 4.0 91.0 7.0 50.0 243.0 199.0 89.0 75.0 12.0 42.0 36.0 24.0 8.0 0.0 85.0 6.0 25.0 674.0 17.0 2.0 79.0 0.0 0.0
2021-11-06 14:16:53,431 - mmdet - INFO - Evaluating bbox...
2021-11-06 14:17:58,032 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.373 | bicycle      | 0.149 | car            | 0.273 |
| motorcycle    | 0.191 | airplane     | 0.305 | bus            | 0.422 |
| train         | 0.352 | truck        | 0.137 | boat           | 0.110 |
| traffic light | 0.178 | fire hydrant | 0.418 | stop sign      | 0.472 |
| parking meter | 0.304 | bench        | 0.089 | bird           | 0.145 |
| cat           | 0.359 | dog          | 0.351 | horse          | 0.328 |
| sheep         | 0.271 | cow          | 0.284 | elephant       | 0.384 |
| bear          | 0.449 | zebra        | 0.410 | giraffe        | 0.484 |
| backpack      | 0.041 | umbrella     | 0.157 | handbag        | 0.042 |
| tie           | 0.142 | suitcase     | 0.078 | frisbee        | 0.352 |
| skis          | 0.070 | snowboard    | 0.058 | sports ball    | 0.300 |
| kite          | 0.203 | baseball bat | 0.101 | baseball glove | 0.206 |
| skateboard    | 0.223 | surfboard    | 0.120 | tennis racket  | 0.240 |
| bottle        | 0.213 | wine glass   | 0.180 | cup            | 0.238 |
| fork          | 0.019 | knife        | 0.026 | spoon          | 0.015 |
| bowl          | 0.240 | banana       | 0.074 | apple          | 0.089 |
| sandwich      | 0.097 | orange       | 0.140 | broccoli       | 0.119 |
| carrot        | 0.049 | hot dog      | 0.018 | pizza          | 0.289 |
| donut         | 0.157 | cake         | 0.069 | chair          | 0.094 |
| couch         | 0.170 | potted plant | 0.102 | bed            | 0.257 |
| dining table  | 0.131 | toilet       | 0.335 | tv             | 0.310 |
| laptop        | 0.311 | mouse        | 0.371 | remote         | 0.058 |
| keyboard      | 0.231 | cell phone   | 0.157 | microwave      | 0.300 |
| oven          | 0.118 | toaster      | 0.006 | sink           | 0.149 |
| refrigerator  | 0.251 | book         | 0.018 | clock          | 0.351 |
| vase          | 0.173 | scissors     | 0.067 | teddy bear     | 0.238 |
| hair drier    | 0.000 | toothbrush   | 0.031 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 14:18:53,642 - mmdet - INFO - Evaluating bbox...
2021-11-06 14:20:00,692 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.390 | bicycle      | 0.170 | car            | 0.297 |
| motorcycle    | 0.237 | airplane     | 0.285 | bus            | 0.450 |
| train         | 0.360 | truck        | 0.142 | boat           | 0.118 |
| traffic light | 0.192 | fire hydrant | 0.441 | stop sign      | 0.481 |
| parking meter | 0.286 | bench        | 0.113 | bird           | 0.161 |
| cat           | 0.405 | dog          | 0.365 | horse          | 0.372 |
| sheep         | 0.288 | cow          | 0.309 | elephant       | 0.406 |
| bear          | 0.477 | zebra        | 0.434 | giraffe        | 0.486 |
| backpack      | 0.050 | umbrella     | 0.176 | handbag        | 0.044 |
| tie           | 0.157 | suitcase     | 0.092 | frisbee        | 0.391 |
| skis          | 0.062 | snowboard    | 0.060 | sports ball    | 0.313 |
| kite          | 0.210 | baseball bat | 0.113 | baseball glove | 0.229 |
| skateboard    | 0.227 | surfboard    | 0.154 | tennis racket  | 0.254 |
| bottle        | 0.233 | wine glass   | 0.183 | cup            | 0.258 |
| fork          | 0.030 | knife        | 0.033 | spoon          | 0.017 |
| bowl          | 0.258 | banana       | 0.093 | apple          | 0.095 |
| sandwich      | 0.154 | orange       | 0.161 | broccoli       | 0.125 |
| carrot        | 0.064 | hot dog      | 0.016 | pizza          | 0.340 |
| donut         | 0.223 | cake         | 0.083 | chair          | 0.113 |
| couch         | 0.202 | potted plant | 0.121 | bed            | 0.252 |
| dining table  | 0.132 | toilet       | 0.349 | tv             | 0.367 |
| laptop        | 0.340 | mouse        | 0.386 | remote         | 0.065 |
| keyboard      | 0.257 | cell phone   | 0.172 | microwave      | 0.314 |
| oven          | 0.151 | toaster      | 0.032 | sink           | 0.166 |
| refrigerator  | 0.303 | book         | 0.027 | clock          | 0.374 |
| vase          | 0.202 | scissors     | 0.086 | teddy bear     | 0.259 |
| hair drier    | 0.000 | toothbrush   | 0.031 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 14:21:25,132 - mmdet - INFO - current percent: 0.2
2021-11-06 14:21:25,132 - mmdet - INFO - update score thr (positive): (1.00-person) (0.96-bicycle) (0.99-car) (1.00-motorcycle) (0.99-airplane) (1.00-bus) (0.99-train) (0.97-truck) (0.96-boat) (0.98-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.93-bench) (0.99-bird) (1.00-cat) (0.99-dog) (0.99-horse) (1.00-sheep) (0.97-cow) (1.00-elephant) (0.99-bear) (1.00-zebra) (1.00-giraffe) (0.86-backpack) (0.99-umbrella) (0.78-handbag) (0.98-tie) (0.92-suitcase) (0.98-frisbee) (0.94-skis) (0.73-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (0.99-skateboard) (0.98-surfboard) (1.00-tennis racket) (0.97-bottle) (0.99-wine glass) (0.98-cup) (0.95-fork) (0.89-knife) (0.87-spoon) (0.98-bowl) (0.96-banana) (0.92-apple) (0.83-sandwich) (0.99-orange) (0.98-broccoli) (0.91-carrot) (0.92-hot dog) (0.99-pizza) (0.96-donut) (0.96-cake) (0.91-chair) (0.95-couch) (0.97-potted plant) (0.98-bed) (0.98-dining table) (1.00-toilet) (0.99-tv) (0.99-laptop) (1.00-mouse) (0.87-remote) (0.99-keyboard) (0.98-cell phone) (0.97-microwave) (0.98-oven) (0.05-toaster) (0.99-sink) (0.98-refrigerator) (0.88-book) (1.00-clock) (0.97-vase) (0.98-scissors) (1.00-teddy bear) (0.05-hair drier) (0.77-toothbrush)
2021-11-06 14:21:25,133 - mmdet - INFO - update score thr (ignore): (0.27-person) (0.19-bicycle) (0.34-car) (0.28-motorcycle) (0.44-airplane) (0.44-bus) (0.33-train) (0.41-truck) (0.24-boat) (0.36-traffic light) (0.47-fire hydrant) (0.70-stop sign) (0.23-parking meter) (0.23-bench) (0.15-bird) (0.48-cat) (0.49-dog) (0.33-horse) (0.88-sheep) (0.39-cow) (0.53-elephant) (0.50-bear) (0.12-zebra) (0.16-giraffe) (0.28-backpack) (0.23-umbrella) (0.22-handbag) (0.30-tie) (0.23-suitcase) (0.47-frisbee) (0.29-skis) (0.20-snowboard) (0.34-sports ball) (0.41-kite) (0.43-baseball bat) (0.52-baseball glove) (0.37-skateboard) (0.31-surfboard) (0.52-tennis racket) (0.31-bottle) (0.19-wine glass) (0.27-cup) (0.14-fork) (0.36-knife) (0.30-spoon) (0.38-bowl) (0.29-banana) (0.22-apple) (0.30-sandwich) (0.71-orange) (0.53-broccoli) (0.40-carrot) (0.87-hot dog) (0.40-pizza) (0.44-donut) (0.30-cake) (0.20-chair) (0.42-couch) (0.38-potted plant) (0.43-bed) (0.40-dining table) (0.54-toilet) (0.51-tv) (0.40-laptop) (0.65-mouse) (0.23-remote) (0.34-keyboard) (0.38-cell phone) (0.37-microwave) (0.37-oven) (0.05-toaster) (0.41-sink) (0.44-refrigerator) (0.28-book) (0.67-clock) (0.22-vase) (0.35-scissors) (0.73-teddy bear) (0.05-hair drier) (0.18-toothbrush)
2021-11-06 14:21:25,469 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 14:21:25,469 - mmdet - INFO - Iter [8000/40000]	lr: 2.000e-02, eta: 16:47:43, time: 1.687, data_time: 0.032, memory: 26488, bbox_mAP: 0.2160, bbox_mAP_50: 0.3930, bbox_mAP_75: 0.2170, bbox_mAP_s: 0.1080, bbox_mAP_m: 0.2390, bbox_mAP_l: 0.2840, bbox_mAP_copypaste: 0.216 0.393 0.217 0.108 0.239 0.284, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0438, loss_cls: 0.1233, acc: 95.2354, loss_bbox: 0.2128, loss_rpn_cls_unlabeled: 0.1011, loss_rpn_bbox_unlabeled: 0.1092, loss_cls_unlabeled: 0.2149, acc_unlabeled: 90.8170, loss_bbox_unlabeled: 0.2255, losses_cls_ig_unlabeled: 0.1582, pseudo_num: 1.9000, pseudo_num_ig: 6.2208, pseudo_num_mining: 0.5444, pseudo_num(acc): 0.6699, pseudo_num ig(acc): 0.3653, loss: 1.2072
2021-11-06 14:22:49,750 - mmdet - INFO - Iter [8050/40000]	lr: 2.000e-02, eta: 17:06:58, time: 8.185, data_time: 6.526, memory: 26488, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0434, loss_cls: 0.1222, acc: 95.2896, loss_bbox: 0.2182, loss_rpn_cls_unlabeled: 0.0994, loss_rpn_bbox_unlabeled: 0.1043, loss_cls_unlabeled: 0.1686, acc_unlabeled: 91.1283, loss_bbox_unlabeled: 0.1706, losses_cls_ig_unlabeled: 0.1637, pseudo_num: 1.8993, pseudo_num_ig: 6.2193, pseudo_num_mining: 0.5455, pseudo_num(acc): 0.6700, pseudo_num ig(acc): 0.3655, loss: 1.1091
2021-11-06 14:24:14,014 - mmdet - INFO - Iter [8100/40000]	lr: 2.000e-02, eta: 17:04:34, time: 1.687, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0434, loss_cls: 0.1201, acc: 95.3201, loss_bbox: 0.2166, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.1007, loss_cls_unlabeled: 0.1708, acc_unlabeled: 91.1281, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1622, pseudo_num: 1.8966, pseudo_num_ig: 6.2173, pseudo_num_mining: 0.5466, pseudo_num(acc): 0.6708, pseudo_num ig(acc): 0.3657, loss: 1.0981
2021-11-06 14:25:37,391 - mmdet - INFO - Iter [8150/40000]	lr: 2.000e-02, eta: 17:02:07, time: 1.666, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0430, loss_cls: 0.1195, acc: 95.3514, loss_bbox: 0.2130, loss_rpn_cls_unlabeled: 0.0943, loss_rpn_bbox_unlabeled: 0.1035, loss_cls_unlabeled: 0.1671, acc_unlabeled: 91.3369, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.1600, pseudo_num: 1.8940, pseudo_num_ig: 6.2156, pseudo_num_mining: 0.5478, pseudo_num(acc): 0.6715, pseudo_num ig(acc): 0.3659, loss: 1.0900
2021-11-06 14:27:01,619 - mmdet - INFO - Iter [8200/40000]	lr: 2.000e-02, eta: 16:59:44, time: 1.686, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0434, loss_cls: 0.1190, acc: 95.3831, loss_bbox: 0.2135, loss_rpn_cls_unlabeled: 0.0958, loss_rpn_bbox_unlabeled: 0.1033, loss_cls_unlabeled: 0.1647, acc_unlabeled: 91.4075, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1571, pseudo_num: 1.8916, pseudo_num_ig: 6.2134, pseudo_num_mining: 0.5490, pseudo_num(acc): 0.6722, pseudo_num ig(acc): 0.3662, loss: 1.0899
2021-11-06 14:28:27,627 - mmdet - INFO - Iter [8250/40000]	lr: 2.000e-02, eta: 16:57:28, time: 1.718, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0424, loss_cls: 0.1201, acc: 95.3451, loss_bbox: 0.2144, loss_rpn_cls_unlabeled: 0.0933, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1760, acc_unlabeled: 91.4733, loss_bbox_unlabeled: 0.1813, losses_cls_ig_unlabeled: 0.1539, pseudo_num: 1.8892, pseudo_num_ig: 6.2100, pseudo_num_mining: 0.5504, pseudo_num(acc): 0.6730, pseudo_num ig(acc): 0.3664, loss: 1.0999
2021-11-06 14:29:51,812 - mmdet - INFO - Iter [8300/40000]	lr: 2.000e-02, eta: 16:55:07, time: 1.686, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0408, loss_cls: 0.1141, acc: 95.4980, loss_bbox: 0.2045, loss_rpn_cls_unlabeled: 0.0963, loss_rpn_bbox_unlabeled: 0.1050, loss_cls_unlabeled: 0.1743, acc_unlabeled: 91.2595, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1564, pseudo_num: 1.8871, pseudo_num_ig: 6.2077, pseudo_num_mining: 0.5517, pseudo_num(acc): 0.6737, pseudo_num ig(acc): 0.3666, loss: 1.0910
2021-11-06 14:31:16,472 - mmdet - INFO - Iter [8350/40000]	lr: 2.000e-02, eta: 16:52:47, time: 1.693, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0412, loss_cls: 0.1178, acc: 95.3459, loss_bbox: 0.2139, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.1025, loss_cls_unlabeled: 0.1687, acc_unlabeled: 91.3475, loss_bbox_unlabeled: 0.1794, losses_cls_ig_unlabeled: 0.1564, pseudo_num: 1.8852, pseudo_num_ig: 6.2066, pseudo_num_mining: 0.5531, pseudo_num(acc): 0.6744, pseudo_num ig(acc): 0.3668, loss: 1.0901
2021-11-06 14:32:41,905 - mmdet - INFO - Iter [8400/40000]	lr: 2.000e-02, eta: 16:50:31, time: 1.705, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0415, loss_cls: 0.1172, acc: 95.4310, loss_bbox: 0.2095, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.1716, acc_unlabeled: 91.5020, loss_bbox_unlabeled: 0.1793, losses_cls_ig_unlabeled: 0.1535, pseudo_num: 1.8833, pseudo_num_ig: 6.2048, pseudo_num_mining: 0.5546, pseudo_num(acc): 0.6751, pseudo_num ig(acc): 0.3671, loss: 1.0777
2021-11-06 14:34:07,497 - mmdet - INFO - Iter [8450/40000]	lr: 2.000e-02, eta: 16:48:17, time: 1.714, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0432, loss_cls: 0.1174, acc: 95.4336, loss_bbox: 0.2125, loss_rpn_cls_unlabeled: 0.0982, loss_rpn_bbox_unlabeled: 0.1073, loss_cls_unlabeled: 0.1735, acc_unlabeled: 91.4034, loss_bbox_unlabeled: 0.1799, losses_cls_ig_unlabeled: 0.1532, pseudo_num: 1.8814, pseudo_num_ig: 6.2024, pseudo_num_mining: 0.5559, pseudo_num(acc): 0.6759, pseudo_num ig(acc): 0.3674, loss: 1.1029
2021-11-06 14:35:30,585 - mmdet - INFO - pseudo pos: 0.98(16095.0-person) 0.86(453.0-bicycle) 0.92(2602.0-car) 0.96(486.0-motorcycle) 0.97(234.0-airplane) 0.98(362.0-bus) 0.97(338.0-train) 0.67(584.0-truck) 0.63(699.0-boat) 0.85(895.0-traffic light) 0.99(161.0-fire hydrant) 0.99(125.0-stop sign) 0.60(112.0-parking meter) 0.55(584.0-bench) 0.88(521.0-bird) 0.93(344.0-cat) 0.91(326.0-dog) 0.93(472.0-horse) 0.95(330.0-sheep) 0.77(688.0-cow) 0.99(223.0-elephant) 1.00(73.0-bear) 0.98(464.0-zebra) 1.00(435.0-giraffe) 0.38(537.0-backpack) 0.78(714.0-umbrella) 0.37(879.0-handbag) 0.78(408.0-tie) 0.61(425.0-suitcase) 0.91(143.0-frisbee) 0.50(434.0-skis) 0.09(620.0-snowboard) 0.95(379.0-sports ball) 0.74(606.0-kite) 0.80(211.0-baseball bat) 0.72(321.0-baseball glove) 0.93(324.0-skateboard) 0.77(373.0-surfboard) 0.93(208.0-tennis racket) 0.80(1310.0-bottle) 0.88(390.0-wine glass) 0.79(1390.0-cup) 0.29(281.0-fork) 0.25(667.0-knife) 0.22(478.0-spoon) 0.70(1322.0-bowl) 0.58(607.0-banana) 0.25(856.0-apple) 0.25(1185.0-sandwich) 0.27(523.0-orange) 0.67(399.0-broccoli) 0.41(523.0-carrot) 0.02(6518.0-hot dog) 0.93(386.0-pizza) 0.58(563.0-donut) 0.46(462.0-cake) 0.56(3201.0-chair) 0.65(390.0-couch) 0.63(641.0-potted plant) 0.86(293.0-bed) 0.67(1346.0-dining table) 0.91(260.0-toilet) 0.92(410.0-tv) 0.95(302.0-laptop) 0.93(89.0-mouse) 0.52(305.0-remote) 0.77(203.0-keyboard) 0.60(430.0-cell phone) 0.92(131.0-microwave) 0.66(319.0-oven) 0.00(1.0-toaster) 0.78(429.0-sink) 0.81(185.0-refrigerator) 0.22(1491.0-book) 0.95(325.0-clock) 0.81(354.0-vase) 0.54(95.0-scissors) 0.93(173.0-teddy bear) 0.00(0.0-hair drier) 0.18(221.0-toothbrush)
2021-11-06 14:35:30,586 - mmdet - INFO - pseudo ig: 0.57(59854.0-person) 0.29(1639.0-bicycle) 0.44(9949.0-car) 0.48(1866.0-motorcycle) 0.66(661.0-airplane) 0.57(1361.0-bus) 0.48(1137.0-train) 0.30(2193.0-truck) 0.28(2848.0-boat) 0.24(3864.0-traffic light) 0.51(423.0-fire hydrant) 0.47(546.0-stop sign) 0.19(369.0-parking meter) 0.17(2335.0-bench) 0.32(1574.0-bird) 0.67(1111.0-cat) 0.59(1003.0-dog) 0.48(1537.0-horse) 0.63(1313.0-sheep) 0.28(2601.0-cow) 0.79(991.0-elephant) 0.52(304.0-bear) 0.48(1731.0-zebra) 0.69(1388.0-giraffe) 0.17(2056.0-backpack) 0.33(2554.0-umbrella) 0.12(3359.0-handbag) 0.24(1754.0-tie) 0.18(1557.0-suitcase) 0.37(706.0-frisbee) 0.24(1656.0-skis) 0.09(843.0-snowboard) 0.34(1555.0-sports ball) 0.28(2211.0-kite) 0.24(753.0-baseball bat) 0.20(1248.0-baseball glove) 0.38(1194.0-skateboard) 0.34(1392.0-surfboard) 0.59(907.0-tennis racket) 0.30(5610.0-bottle) 0.32(1439.0-wine glass) 0.27(5837.0-cup) 0.17(1007.0-fork) 0.10(2479.0-knife) 0.08(1963.0-spoon) 0.24(5000.0-bowl) 0.20(2304.0-banana) 0.10(2268.0-apple) 0.13(1690.0-sandwich) 0.21(905.0-orange) 0.30(1829.0-broccoli) 0.15(2263.0-carrot) 0.01(600.0-hot dog) 0.46(1354.0-pizza) 0.21(2145.0-donut) 0.18(1505.0-cake) 0.18(13404.0-chair) 0.27(1372.0-couch) 0.23(2658.0-potted plant) 0.39(1033.0-bed) 0.27(3883.0-dining table) 0.57(1012.0-toilet) 0.44(1470.0-tv) 0.47(1044.0-laptop) 0.48(326.0-mouse) 0.18(1265.0-remote) 0.41(671.0-keyboard) 0.19(1839.0-cell phone) 0.32(438.0-microwave) 0.19(984.0-oven) 0.00(0.0-toaster) 0.34(1478.0-sink) 0.28(652.0-refrigerator) 0.13(6190.0-book) 0.56(1417.0-clock) 0.32(1291.0-vase) 0.22(343.0-scissors) 0.57(682.0-teddy bear) 0.00(0.0-hair drier) 0.05(670.0-toothbrush)
2021-11-06 14:35:30,586 - mmdet - INFO - pseudo gt: 74449.0 1955.0 12488.0 2574.0 1519.0 1848.0 1309.0 2821.0 3162.0 3680.0 573.0 596.0 343.0 2976.0 3000.0 1449.0 1555.0 2016.0 2837.0 2293.0 1612.0 338.0 1549.0 1560.0 2584.0 3280.0 3678.0 1824.0 1723.0 742.0 1818.0 764.0 1981.0 2455.0 992.0 1036.0 1557.0 1706.0 1422.0 6497.0 2164.0 5689.0 1539.0 2150.0 1673.0 3884.0 2617.0 1662.0 1234.0 1643.0 2066.0 2213.0 867.0 1796.0 1840.0 1747.0 11171.0 1620.0 2583.0 1245.0 4540.0 1271.0 1750.0 1509.0 692.0 1699.0 888.0 1791.0 460.0 873.0 60.0 1654.0 725.0 7527.0 1837.0 1752.0 418.0 1367.0 54.0 640.0
2021-11-06 14:35:30,586 - mmdet - INFO - pseudo mining: 10235.0 31.0 1104.0 102.0 85.0 138.0 79.0 35.0 92.0 246.0 74.0 252.0 2.0 8.0 26.0 119.0 43.0 104.0 298.0 58.0 314.0 41.0 279.0 399.0 12.0 178.0 2.0 46.0 7.0 88.0 13.0 2.0 329.0 362.0 47.0 91.0 54.0 30.0 273.0 371.0 26.0 251.0 2.0 9.0 2.0 175.0 39.0 36.0 30.0 93.0 95.0 41.0 1.0 71.0 48.0 8.0 34.0 4.0 96.0 7.0 51.0 266.0 216.0 97.0 84.0 13.0 45.0 48.0 26.0 9.0 0.0 106.0 6.0 27.0 714.0 18.0 3.0 86.0 0.0 0.0
2021-11-06 14:35:32,174 - mmdet - INFO - Iter [8500/40000]	lr: 2.000e-02, eta: 16:46:00, time: 1.694, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0417, loss_cls: 0.1191, acc: 95.3331, loss_bbox: 0.2143, loss_rpn_cls_unlabeled: 0.0935, loss_rpn_bbox_unlabeled: 0.1007, loss_cls_unlabeled: 0.1681, acc_unlabeled: 91.4683, loss_bbox_unlabeled: 0.1788, losses_cls_ig_unlabeled: 0.1555, pseudo_num: 1.8796, pseudo_num_ig: 6.2003, pseudo_num_mining: 0.5571, pseudo_num(acc): 0.6766, pseudo_num ig(acc): 0.3675, loss: 1.0901
2021-11-06 14:36:56,863 - mmdet - INFO - Iter [8550/40000]	lr: 2.000e-02, eta: 16:43:43, time: 1.694, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0446, loss_cls: 0.1166, acc: 95.4214, loss_bbox: 0.2100, loss_rpn_cls_unlabeled: 0.0991, loss_rpn_bbox_unlabeled: 0.1024, loss_cls_unlabeled: 0.1684, acc_unlabeled: 91.4017, loss_bbox_unlabeled: 0.1735, losses_cls_ig_unlabeled: 0.1540, pseudo_num: 1.8775, pseudo_num_ig: 6.1975, pseudo_num_mining: 0.5582, pseudo_num(acc): 0.6774, pseudo_num ig(acc): 0.3677, loss: 1.0859
2021-11-06 14:38:21,273 - mmdet - INFO - Iter [8600/40000]	lr: 2.000e-02, eta: 16:41:26, time: 1.689, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0428, loss_cls: 0.1174, acc: 95.4489, loss_bbox: 0.2069, loss_rpn_cls_unlabeled: 0.0986, loss_rpn_bbox_unlabeled: 0.1049, loss_cls_unlabeled: 0.1761, acc_unlabeled: 91.2030, loss_bbox_unlabeled: 0.1763, losses_cls_ig_unlabeled: 0.1583, pseudo_num: 1.8755, pseudo_num_ig: 6.1952, pseudo_num_mining: 0.5593, pseudo_num(acc): 0.6780, pseudo_num ig(acc): 0.3679, loss: 1.0981
2021-11-06 14:39:47,118 - mmdet - INFO - Iter [8650/40000]	lr: 2.000e-02, eta: 16:39:14, time: 1.716, data_time: 0.024, memory: 26488, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0426, loss_cls: 0.1120, acc: 95.6163, loss_bbox: 0.2041, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1645, acc_unlabeled: 91.5753, loss_bbox_unlabeled: 0.1724, losses_cls_ig_unlabeled: 0.1528, pseudo_num: 1.8735, pseudo_num_ig: 6.1941, pseudo_num_mining: 0.5607, pseudo_num(acc): 0.6787, pseudo_num ig(acc): 0.3681, loss: 1.0566
2021-11-06 14:41:12,748 - mmdet - INFO - Iter [8700/40000]	lr: 2.000e-02, eta: 16:37:02, time: 1.710, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0406, loss_cls: 0.1133, acc: 95.5680, loss_bbox: 0.2086, loss_rpn_cls_unlabeled: 0.0971, loss_rpn_bbox_unlabeled: 0.1000, loss_cls_unlabeled: 0.1743, acc_unlabeled: 91.3977, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1552, pseudo_num: 1.8713, pseudo_num_ig: 6.1907, pseudo_num_mining: 0.5615, pseudo_num(acc): 0.6793, pseudo_num ig(acc): 0.3682, loss: 1.0885
2021-11-06 14:42:38,187 - mmdet - INFO - Iter [8750/40000]	lr: 2.000e-02, eta: 16:34:51, time: 1.709, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0415, loss_cls: 0.1149, acc: 95.4983, loss_bbox: 0.2039, loss_rpn_cls_unlabeled: 0.0926, loss_rpn_bbox_unlabeled: 0.1013, loss_cls_unlabeled: 0.1780, acc_unlabeled: 91.2195, loss_bbox_unlabeled: 0.1816, losses_cls_ig_unlabeled: 0.1574, pseudo_num: 1.8698, pseudo_num_ig: 6.1884, pseudo_num_mining: 0.5626, pseudo_num(acc): 0.6800, pseudo_num ig(acc): 0.3684, loss: 1.0896
2021-11-06 14:44:01,799 - mmdet - INFO - Iter [8800/40000]	lr: 2.000e-02, eta: 16:32:33, time: 1.674, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0435, loss_cls: 0.1182, acc: 95.3784, loss_bbox: 0.2117, loss_rpn_cls_unlabeled: 0.0919, loss_rpn_bbox_unlabeled: 0.1017, loss_cls_unlabeled: 0.1700, acc_unlabeled: 91.3035, loss_bbox_unlabeled: 0.1784, losses_cls_ig_unlabeled: 0.1569, pseudo_num: 1.8682, pseudo_num_ig: 6.1867, pseudo_num_mining: 0.5637, pseudo_num(acc): 0.6806, pseudo_num ig(acc): 0.3685, loss: 1.0899
2021-11-06 14:45:25,938 - mmdet - INFO - Iter [8850/40000]	lr: 2.000e-02, eta: 16:30:18, time: 1.683, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0426, loss_cls: 0.1182, acc: 95.3617, loss_bbox: 0.2110, loss_rpn_cls_unlabeled: 0.0939, loss_rpn_bbox_unlabeled: 0.1011, loss_cls_unlabeled: 0.1680, acc_unlabeled: 91.2972, loss_bbox_unlabeled: 0.1733, losses_cls_ig_unlabeled: 0.1574, pseudo_num: 1.8665, pseudo_num_ig: 6.1854, pseudo_num_mining: 0.5650, pseudo_num(acc): 0.6813, pseudo_num ig(acc): 0.3686, loss: 1.0831
2021-11-06 14:46:50,770 - mmdet - INFO - Iter [8900/40000]	lr: 2.000e-02, eta: 16:28:06, time: 1.696, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0407, loss_cls: 0.1115, acc: 95.6571, loss_bbox: 0.2034, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.1013, loss_cls_unlabeled: 0.1659, acc_unlabeled: 91.5157, loss_bbox_unlabeled: 0.1750, losses_cls_ig_unlabeled: 0.1518, pseudo_num: 1.8649, pseudo_num_ig: 6.1835, pseudo_num_mining: 0.5660, pseudo_num(acc): 0.6819, pseudo_num ig(acc): 0.3687, loss: 1.0559
2021-11-06 14:48:14,923 - mmdet - INFO - Iter [8950/40000]	lr: 2.000e-02, eta: 16:25:52, time: 1.681, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0424, loss_cls: 0.1156, acc: 95.5104, loss_bbox: 0.2107, loss_rpn_cls_unlabeled: 0.0952, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1659, acc_unlabeled: 91.5408, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1531, pseudo_num: 1.8630, pseudo_num_ig: 6.1804, pseudo_num_mining: 0.5669, pseudo_num(acc): 0.6825, pseudo_num ig(acc): 0.3689, loss: 1.0714
2021-11-06 14:49:37,461 - mmdet - INFO - pseudo pos: 0.98(17077.0-person) 0.86(480.0-bicycle) 0.92(2742.0-car) 0.96(512.0-motorcycle) 0.98(254.0-airplane) 0.98(386.0-bus) 0.97(363.0-train) 0.68(629.0-truck) 0.64(725.0-boat) 0.86(931.0-traffic light) 0.99(170.0-fire hydrant) 0.99(128.0-stop sign) 0.61(116.0-parking meter) 0.55(615.0-bench) 0.88(537.0-bird) 0.93(362.0-cat) 0.91(339.0-dog) 0.93(494.0-horse) 0.95(362.0-sheep) 0.77(713.0-cow) 0.99(230.0-elephant) 1.00(81.0-bear) 0.99(492.0-zebra) 1.00(453.0-giraffe) 0.39(574.0-backpack) 0.78(750.0-umbrella) 0.36(932.0-handbag) 0.79(428.0-tie) 0.61(448.0-suitcase) 0.90(156.0-frisbee) 0.49(451.0-skis) 0.10(628.0-snowboard) 0.95(393.0-sports ball) 0.74(637.0-kite) 0.80(218.0-baseball bat) 0.72(337.0-baseball glove) 0.93(341.0-skateboard) 0.77(388.0-surfboard) 0.94(227.0-tennis racket) 0.81(1382.0-bottle) 0.88(415.0-wine glass) 0.79(1440.0-cup) 0.29(293.0-fork) 0.25(703.0-knife) 0.22(494.0-spoon) 0.70(1381.0-bowl) 0.57(625.0-banana) 0.25(876.0-apple) 0.27(1222.0-sandwich) 0.27(526.0-orange) 0.67(410.0-broccoli) 0.42(553.0-carrot) 0.02(6518.0-hot dog) 0.93(401.0-pizza) 0.59(583.0-donut) 0.47(478.0-cake) 0.56(3343.0-chair) 0.65(438.0-couch) 0.63(677.0-potted plant) 0.86(310.0-bed) 0.67(1410.0-dining table) 0.90(271.0-toilet) 0.91(432.0-tv) 0.95(319.0-laptop) 0.94(95.0-mouse) 0.53(320.0-remote) 0.76(221.0-keyboard) 0.61(449.0-cell phone) 0.93(141.0-microwave) 0.67(336.0-oven) 0.00(2.0-toaster) 0.78(454.0-sink) 0.82(191.0-refrigerator) 0.23(1579.0-book) 0.95(352.0-clock) 0.81(370.0-vase) 0.54(95.0-scissors) 0.93(185.0-teddy bear) 0.00(0.0-hair drier) 0.18(226.0-toothbrush)
2021-11-06 14:49:37,462 - mmdet - INFO - pseudo ig: 0.57(63356.0-person) 0.30(1748.0-bicycle) 0.44(10609.0-car) 0.48(1982.0-motorcycle) 0.66(722.0-airplane) 0.58(1436.0-bus) 0.49(1201.0-train) 0.29(2350.0-truck) 0.28(2973.0-boat) 0.24(4066.0-traffic light) 0.51(449.0-fire hydrant) 0.47(579.0-stop sign) 0.20(381.0-parking meter) 0.17(2459.0-bench) 0.32(1667.0-bird) 0.66(1179.0-cat) 0.59(1057.0-dog) 0.48(1613.0-horse) 0.64(1409.0-sheep) 0.28(2719.0-cow) 0.79(1049.0-elephant) 0.53(331.0-bear) 0.48(1829.0-zebra) 0.69(1468.0-giraffe) 0.18(2194.0-backpack) 0.33(2723.0-umbrella) 0.12(3562.0-handbag) 0.24(1808.0-tie) 0.18(1638.0-suitcase) 0.37(753.0-frisbee) 0.25(1758.0-skis) 0.10(867.0-snowboard) 0.34(1629.0-sports ball) 0.29(2351.0-kite) 0.25(795.0-baseball bat) 0.20(1295.0-baseball glove) 0.38(1253.0-skateboard) 0.34(1463.0-surfboard) 0.60(955.0-tennis racket) 0.31(5951.0-bottle) 0.33(1532.0-wine glass) 0.27(6190.0-cup) 0.18(1049.0-fork) 0.10(2593.0-knife) 0.08(2019.0-spoon) 0.24(5269.0-bowl) 0.20(2426.0-banana) 0.10(2344.0-apple) 0.13(1773.0-sandwich) 0.22(978.0-orange) 0.31(1929.0-broccoli) 0.15(2387.0-carrot) 0.01(600.0-hot dog) 0.46(1425.0-pizza) 0.21(2227.0-donut) 0.18(1592.0-cake) 0.18(14022.0-chair) 0.27(1479.0-couch) 0.23(2772.0-potted plant) 0.40(1103.0-bed) 0.28(4098.0-dining table) 0.58(1064.0-toilet) 0.43(1561.0-tv) 0.48(1098.0-laptop) 0.49(342.0-mouse) 0.18(1333.0-remote) 0.41(712.0-keyboard) 0.20(1927.0-cell phone) 0.32(458.0-microwave) 0.19(1037.0-oven) 0.00(0.0-toaster) 0.35(1551.0-sink) 0.29(690.0-refrigerator) 0.13(6489.0-book) 0.57(1485.0-clock) 0.32(1394.0-vase) 0.23(350.0-scissors) 0.58(713.0-teddy bear) 0.00(0.0-hair drier) 0.05(698.0-toothbrush)
2021-11-06 14:49:37,462 - mmdet - INFO - pseudo gt: 78701.0 2098.0 13312.0 2709.0 1624.0 1968.0 1394.0 3032.0 3304.0 3859.0 607.0 621.0 368.0 3175.0 3170.0 1542.0 1639.0 2127.0 3065.0 2420.0 1674.0 368.0 1644.0 1650.0 2733.0 3468.0 3865.0 1942.0 1818.0 782.0 1930.0 804.0 2108.0 2595.0 1050.0 1102.0 1658.0 1771.0 1515.0 6917.0 2294.0 6002.0 1610.0 2274.0 1765.0 4123.0 2742.0 1788.0 1303.0 1785.0 2195.0 2385.0 922.0 1890.0 1928.0 1842.0 11761.0 1742.0 2708.0 1321.0 4793.0 1341.0 1836.0 1596.0 733.0 1795.0 928.0 1903.0 482.0 931.0 60.0 1747.0 784.0 7855.0 1948.0 1854.0 436.0 1434.0 58.0 670.0
2021-11-06 14:49:37,462 - mmdet - INFO - pseudo mining: 10975.0 32.0 1236.0 110.0 97.0 154.0 87.0 43.0 97.0 272.0 81.0 272.0 2.0 8.0 30.0 132.0 48.0 114.0 363.0 65.0 336.0 44.0 303.0 428.0 14.0 190.0 2.0 53.0 7.0 97.0 15.0 2.0 356.0 390.0 54.0 101.0 58.0 31.0 296.0 393.0 28.0 278.0 2.0 11.0 2.0 195.0 45.0 36.0 30.0 129.0 112.0 42.0 1.0 76.0 51.0 9.0 34.0 5.0 101.0 8.0 53.0 284.0 233.0 110.0 92.0 14.0 49.0 49.0 28.0 10.0 0.0 115.0 7.0 29.0 758.0 20.0 3.0 92.0 0.0 0.0
2021-11-06 14:51:04,565 - mmdet - INFO - current percent: 0.2
2021-11-06 14:51:04,565 - mmdet - INFO - update score thr (positive): (1.00-person) (0.97-bicycle) (0.99-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.96-truck) (0.97-boat) (0.97-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.86-parking meter) (0.90-bench) (0.99-bird) (1.00-cat) (0.99-dog) (0.99-horse) (1.00-sheep) (0.97-cow) (1.00-elephant) (0.99-bear) (1.00-zebra) (1.00-giraffe) (0.91-backpack) (0.98-umbrella) (0.87-handbag) (0.98-tie) (0.90-suitcase) (0.99-frisbee) (0.94-skis) (0.84-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (0.99-skateboard) (0.98-surfboard) (1.00-tennis racket) (0.98-bottle) (0.97-wine glass) (0.96-cup) (0.93-fork) (0.91-knife) (0.79-spoon) (0.98-bowl) (0.97-banana) (0.86-apple) (0.98-sandwich) (0.99-orange) (0.98-broccoli) (0.96-carrot) (0.29-hot dog) (0.99-pizza) (0.99-donut) (0.89-cake) (0.88-chair) (0.97-couch) (0.97-potted plant) (0.98-bed) (0.98-dining table) (1.00-toilet) (0.99-tv) (1.00-laptop) (1.00-mouse) (0.91-remote) (0.99-keyboard) (0.95-cell phone) (0.99-microwave) (0.97-oven) (0.07-toaster) (0.99-sink) (0.99-refrigerator) (0.89-book) (1.00-clock) (0.97-vase) (0.91-scissors) (1.00-teddy bear) (0.05-hair drier) (0.79-toothbrush)
2021-11-06 14:51:04,566 - mmdet - INFO - update score thr (ignore): (0.24-person) (0.17-bicycle) (0.33-car) (0.27-motorcycle) (0.64-airplane) (0.39-bus) (0.46-train) (0.35-truck) (0.28-boat) (0.31-traffic light) (0.39-fire hydrant) (0.84-stop sign) (0.12-parking meter) (0.22-bench) (0.16-bird) (0.51-cat) (0.42-dog) (0.31-horse) (0.75-sheep) (0.40-cow) (0.56-elephant) (0.35-bear) (0.28-zebra) (0.10-giraffe) (0.35-backpack) (0.19-umbrella) (0.28-handbag) (0.30-tie) (0.17-suitcase) (0.54-frisbee) (0.32-skis) (0.31-snowboard) (0.31-sports ball) (0.43-kite) (0.40-baseball bat) (0.52-baseball glove) (0.31-skateboard) (0.32-surfboard) (0.58-tennis racket) (0.28-bottle) (0.15-wine glass) (0.20-cup) (0.12-fork) (0.31-knife) (0.19-spoon) (0.34-bowl) (0.16-banana) (0.23-apple) (0.60-sandwich) (0.52-orange) (0.57-broccoli) (0.54-carrot) (0.17-hot dog) (0.41-pizza) (0.58-donut) (0.25-cake) (0.18-chair) (0.54-couch) (0.36-potted plant) (0.45-bed) (0.34-dining table) (0.42-toilet) (0.60-tv) (0.37-laptop) (0.58-mouse) (0.23-remote) (0.36-keyboard) (0.34-cell phone) (0.47-microwave) (0.31-oven) (0.05-toaster) (0.41-sink) (0.42-refrigerator) (0.26-book) (0.67-clock) (0.27-vase) (0.14-scissors) (0.70-teddy bear) (0.05-hair drier) (0.11-toothbrush)
2021-11-06 14:51:04,808 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 14:51:04,808 - mmdet - INFO - Iter [9000/40000]	lr: 2.000e-02, eta: 16:23:39, time: 1.689, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0418, loss_cls: 0.1173, acc: 95.4042, loss_bbox: 0.2078, loss_rpn_cls_unlabeled: 0.0926, loss_rpn_bbox_unlabeled: 0.1020, loss_cls_unlabeled: 0.1732, acc_unlabeled: 91.5580, loss_bbox_unlabeled: 0.1839, losses_cls_ig_unlabeled: 0.1521, pseudo_num: 1.8612, pseudo_num_ig: 6.1772, pseudo_num_mining: 0.5679, pseudo_num(acc): 0.6832, pseudo_num ig(acc): 0.3691, loss: 1.0880
2021-11-06 14:52:28,584 - mmdet - INFO - Iter [9050/40000]	lr: 2.000e-02, eta: 16:26:17, time: 3.385, data_time: 1.739, memory: 26488, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0436, loss_cls: 0.1173, acc: 95.4133, loss_bbox: 0.2093, loss_rpn_cls_unlabeled: 0.0951, loss_rpn_bbox_unlabeled: 0.0993, loss_cls_unlabeled: 0.1679, acc_unlabeled: 91.2806, loss_bbox_unlabeled: 0.1728, losses_cls_ig_unlabeled: 0.1563, pseudo_num: 1.8592, pseudo_num_ig: 6.1751, pseudo_num_mining: 0.5690, pseudo_num(acc): 0.6838, pseudo_num ig(acc): 0.3693, loss: 1.0802
2021-11-06 14:53:53,694 - mmdet - INFO - Iter [9100/40000]	lr: 2.000e-02, eta: 16:24:06, time: 1.705, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0423, loss_cls: 0.1124, acc: 95.6068, loss_bbox: 0.2053, loss_rpn_cls_unlabeled: 0.0956, loss_rpn_bbox_unlabeled: 0.1086, loss_cls_unlabeled: 0.1785, acc_unlabeled: 90.9298, loss_bbox_unlabeled: 0.1849, losses_cls_ig_unlabeled: 0.1635, pseudo_num: 1.8572, pseudo_num_ig: 6.1752, pseudo_num_mining: 0.5703, pseudo_num(acc): 0.6844, pseudo_num ig(acc): 0.3695, loss: 1.1083
2021-11-06 14:55:18,350 - mmdet - INFO - Iter [9150/40000]	lr: 2.000e-02, eta: 16:21:54, time: 1.691, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0424, loss_cls: 0.1121, acc: 95.5964, loss_bbox: 0.2067, loss_rpn_cls_unlabeled: 0.0918, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.1627, acc_unlabeled: 91.6230, loss_bbox_unlabeled: 0.1747, losses_cls_ig_unlabeled: 0.1510, pseudo_num: 1.8554, pseudo_num_ig: 6.1749, pseudo_num_mining: 0.5716, pseudo_num(acc): 0.6850, pseudo_num ig(acc): 0.3696, loss: 1.0570
2021-11-06 14:56:43,623 - mmdet - INFO - Iter [9200/40000]	lr: 2.000e-02, eta: 16:19:44, time: 1.704, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0426, loss_cls: 0.1115, acc: 95.6333, loss_bbox: 0.2090, loss_rpn_cls_unlabeled: 0.0964, loss_rpn_bbox_unlabeled: 0.1033, loss_cls_unlabeled: 0.1618, acc_unlabeled: 91.4617, loss_bbox_unlabeled: 0.1751, losses_cls_ig_unlabeled: 0.1510, pseudo_num: 1.8535, pseudo_num_ig: 6.1736, pseudo_num_mining: 0.5729, pseudo_num(acc): 0.6856, pseudo_num ig(acc): 0.3698, loss: 1.0668
2021-11-06 14:58:09,297 - mmdet - INFO - Iter [9250/40000]	lr: 2.000e-02, eta: 16:17:36, time: 1.716, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0422, loss_cls: 0.1126, acc: 95.5901, loss_bbox: 0.2082, loss_rpn_cls_unlabeled: 0.0968, loss_rpn_bbox_unlabeled: 0.1041, loss_cls_unlabeled: 0.1678, acc_unlabeled: 91.1743, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1591, pseudo_num: 1.8518, pseudo_num_ig: 6.1733, pseudo_num_mining: 0.5743, pseudo_num(acc): 0.6862, pseudo_num ig(acc): 0.3700, loss: 1.0817
2021-11-06 14:59:34,247 - mmdet - INFO - Iter [9300/40000]	lr: 2.000e-02, eta: 16:15:27, time: 1.699, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0419, loss_cls: 0.1103, acc: 95.6725, loss_bbox: 0.2011, loss_rpn_cls_unlabeled: 0.0947, loss_rpn_bbox_unlabeled: 0.1028, loss_cls_unlabeled: 0.1714, acc_unlabeled: 91.3235, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1538, pseudo_num: 1.8501, pseudo_num_ig: 6.1733, pseudo_num_mining: 0.5756, pseudo_num(acc): 0.6868, pseudo_num ig(acc): 0.3702, loss: 1.0690
2021-11-06 15:00:59,458 - mmdet - INFO - Iter [9350/40000]	lr: 2.000e-02, eta: 16:13:18, time: 1.705, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0426, loss_cls: 0.1147, acc: 95.4792, loss_bbox: 0.2075, loss_rpn_cls_unlabeled: 0.0919, loss_rpn_bbox_unlabeled: 0.1020, loss_cls_unlabeled: 0.1767, acc_unlabeled: 91.2096, loss_bbox_unlabeled: 0.1854, losses_cls_ig_unlabeled: 0.1528, pseudo_num: 1.8486, pseudo_num_ig: 6.1743, pseudo_num_mining: 0.5771, pseudo_num(acc): 0.6874, pseudo_num ig(acc): 0.3703, loss: 1.0900
2021-11-06 15:02:23,751 - mmdet - INFO - Iter [9400/40000]	lr: 2.000e-02, eta: 16:11:07, time: 1.682, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0413, loss_cls: 0.1106, acc: 95.6680, loss_bbox: 0.2014, loss_rpn_cls_unlabeled: 0.0945, loss_rpn_bbox_unlabeled: 0.1038, loss_cls_unlabeled: 0.1782, acc_unlabeled: 91.1792, loss_bbox_unlabeled: 0.1893, losses_cls_ig_unlabeled: 0.1561, pseudo_num: 1.8476, pseudo_num_ig: 6.1743, pseudo_num_mining: 0.5781, pseudo_num(acc): 0.6880, pseudo_num ig(acc): 0.3704, loss: 1.0918
2021-11-06 15:03:48,455 - mmdet - INFO - Iter [9450/40000]	lr: 2.000e-02, eta: 16:08:58, time: 1.698, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0432, loss_cls: 0.1138, acc: 95.5381, loss_bbox: 0.2053, loss_rpn_cls_unlabeled: 0.0937, loss_rpn_bbox_unlabeled: 0.0985, loss_cls_unlabeled: 0.1649, acc_unlabeled: 91.5167, loss_bbox_unlabeled: 0.1669, losses_cls_ig_unlabeled: 0.1544, pseudo_num: 1.8462, pseudo_num_ig: 6.1726, pseudo_num_mining: 0.5790, pseudo_num(acc): 0.6886, pseudo_num ig(acc): 0.3704, loss: 1.0577
2021-11-06 15:05:11,437 - mmdet - INFO - pseudo pos: 0.98(18079.0-person) 0.87(508.0-bicycle) 0.92(2850.0-car) 0.96(549.0-motorcycle) 0.98(262.0-airplane) 0.99(401.0-bus) 0.97(384.0-train) 0.68(651.0-truck) 0.64(753.0-boat) 0.86(985.0-traffic light) 0.99(179.0-fire hydrant) 0.99(132.0-stop sign) 0.62(126.0-parking meter) 0.56(644.0-bench) 0.88(556.0-bird) 0.93(370.0-cat) 0.92(357.0-dog) 0.93(514.0-horse) 0.95(369.0-sheep) 0.77(734.0-cow) 0.99(252.0-elephant) 1.00(92.0-bear) 0.99(509.0-zebra) 0.99(480.0-giraffe) 0.38(601.0-backpack) 0.78(802.0-umbrella) 0.37(969.0-handbag) 0.80(437.0-tie) 0.62(468.0-suitcase) 0.90(162.0-frisbee) 0.49(480.0-skis) 0.10(635.0-snowboard) 0.95(407.0-sports ball) 0.75(670.0-kite) 0.81(229.0-baseball bat) 0.73(346.0-baseball glove) 0.93(362.0-skateboard) 0.77(402.0-surfboard) 0.94(235.0-tennis racket) 0.81(1462.0-bottle) 0.88(437.0-wine glass) 0.78(1526.0-cup) 0.30(299.0-fork) 0.25(729.0-knife) 0.22(525.0-spoon) 0.70(1437.0-bowl) 0.57(654.0-banana) 0.26(900.0-apple) 0.27(1235.0-sandwich) 0.27(531.0-orange) 0.67(417.0-broccoli) 0.41(563.0-carrot) 0.02(6525.0-hot dog) 0.93(421.0-pizza) 0.59(594.0-donut) 0.47(505.0-cake) 0.56(3553.0-chair) 0.66(463.0-couch) 0.64(716.0-potted plant) 0.86(329.0-bed) 0.67(1477.0-dining table) 0.90(284.0-toilet) 0.92(460.0-tv) 0.95(338.0-laptop) 0.94(100.0-mouse) 0.54(334.0-remote) 0.76(232.0-keyboard) 0.61(498.0-cell phone) 0.93(147.0-microwave) 0.68(351.0-oven) 0.00(4.0-toaster) 0.78(471.0-sink) 0.82(205.0-refrigerator) 0.23(1651.0-book) 0.95(367.0-clock) 0.81(385.0-vase) 0.54(95.0-scissors) 0.93(193.0-teddy bear) 0.00(0.0-hair drier) 0.18(231.0-toothbrush)
2021-11-06 15:05:11,437 - mmdet - INFO - pseudo ig: 0.57(67137.0-person) 0.30(1851.0-bicycle) 0.44(11092.0-car) 0.48(2102.0-motorcycle) 0.67(760.0-airplane) 0.58(1513.0-bus) 0.49(1279.0-train) 0.30(2470.0-truck) 0.28(3130.0-boat) 0.25(4264.0-traffic light) 0.52(483.0-fire hydrant) 0.46(610.0-stop sign) 0.20(402.0-parking meter) 0.17(2586.0-bench) 0.32(1751.0-bird) 0.67(1264.0-cat) 0.60(1125.0-dog) 0.48(1721.0-horse) 0.64(1453.0-sheep) 0.28(2851.0-cow) 0.79(1120.0-elephant) 0.53(355.0-bear) 0.49(1942.0-zebra) 0.69(1566.0-giraffe) 0.18(2333.0-backpack) 0.33(2916.0-umbrella) 0.12(3739.0-handbag) 0.25(1871.0-tie) 0.18(1740.0-suitcase) 0.37(780.0-frisbee) 0.25(1830.0-skis) 0.11(904.0-snowboard) 0.34(1721.0-sports ball) 0.29(2485.0-kite) 0.25(843.0-baseball bat) 0.21(1352.0-baseball glove) 0.38(1335.0-skateboard) 0.34(1571.0-surfboard) 0.60(1011.0-tennis racket) 0.31(6306.0-bottle) 0.33(1628.0-wine glass) 0.27(6562.0-cup) 0.18(1107.0-fork) 0.10(2716.0-knife) 0.08(2129.0-spoon) 0.24(5553.0-bowl) 0.20(2639.0-banana) 0.11(2470.0-apple) 0.13(1828.0-sandwich) 0.23(1041.0-orange) 0.31(1968.0-broccoli) 0.15(2462.0-carrot) 0.02(622.0-hot dog) 0.46(1485.0-pizza) 0.21(2269.0-donut) 0.18(1674.0-cake) 0.18(14760.0-chair) 0.28(1559.0-couch) 0.23(2882.0-potted plant) 0.40(1166.0-bed) 0.27(4318.0-dining table) 0.58(1116.0-toilet) 0.44(1638.0-tv) 0.48(1150.0-laptop) 0.49(369.0-mouse) 0.19(1408.0-remote) 0.40(758.0-keyboard) 0.20(2037.0-cell phone) 0.32(500.0-microwave) 0.20(1111.0-oven) 0.00(0.0-toaster) 0.35(1626.0-sink) 0.29(743.0-refrigerator) 0.13(6897.0-book) 0.57(1545.0-clock) 0.33(1456.0-vase) 0.24(365.0-scissors) 0.59(742.0-teddy bear) 0.00(0.0-hair drier) 0.05(732.0-toothbrush)
2021-11-06 15:05:11,437 - mmdet - INFO - pseudo gt: 83182.0 2207.0 13946.0 2880.0 1694.0 2074.0 1482.0 3185.0 3485.0 4068.0 645.0 639.0 394.0 3332.0 3322.0 1623.0 1752.0 2233.0 3163.0 2535.0 1782.0 395.0 1762.0 1755.0 2899.0 3657.0 4071.0 2039.0 1927.0 818.0 2052.0 860.0 2187.0 2755.0 1103.0 1174.0 1765.0 1905.0 1624.0 7389.0 2414.0 6359.0 1692.0 2427.0 1860.0 4376.0 2936.0 1905.0 1366.0 1897.0 2287.0 2470.0 966.0 2003.0 1979.0 1935.0 12446.0 1839.0 2825.0 1408.0 5034.0 1388.0 1946.0 1681.0 773.0 1889.0 974.0 2017.0 519.0 1009.0 63.0 1834.0 834.0 8282.0 2036.0 1979.0 453.0 1503.0 59.0 685.0
2021-11-06 15:05:11,438 - mmdet - INFO - pseudo mining: 11828.0 35.0 1320.0 118.0 100.0 171.0 103.0 43.0 101.0 296.0 91.0 295.0 2.0 8.0 36.0 146.0 54.0 130.0 379.0 70.0 369.0 47.0 347.0 455.0 14.0 209.0 2.0 55.0 7.0 108.0 17.0 2.0 379.0 417.0 58.0 113.0 59.0 33.0 322.0 414.0 31.0 291.0 3.0 12.0 2.0 217.0 51.0 37.0 31.0 144.0 117.0 51.0 1.0 84.0 60.0 9.0 37.0 5.0 109.0 10.0 54.0 299.0 253.0 119.0 103.0 18.0 52.0 51.0 33.0 10.0 0.0 126.0 9.0 31.0 792.0 20.0 3.0 104.0 0.0 0.0
2021-11-06 15:05:13,033 - mmdet - INFO - Iter [9500/40000]	lr: 2.000e-02, eta: 16:06:49, time: 1.690, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0411, loss_cls: 0.1110, acc: 95.6910, loss_bbox: 0.2046, loss_rpn_cls_unlabeled: 0.0916, loss_rpn_bbox_unlabeled: 0.1065, loss_cls_unlabeled: 0.1757, acc_unlabeled: 91.3031, loss_bbox_unlabeled: 0.1899, losses_cls_ig_unlabeled: 0.1484, pseudo_num: 1.8447, pseudo_num_ig: 6.1709, pseudo_num_mining: 0.5796, pseudo_num(acc): 0.6891, pseudo_num ig(acc): 0.3705, loss: 1.0850
2021-11-06 15:06:37,152 - mmdet - INFO - Iter [9550/40000]	lr: 2.000e-02, eta: 16:04:39, time: 1.684, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0407, loss_cls: 0.1107, acc: 95.6748, loss_bbox: 0.2005, loss_rpn_cls_unlabeled: 0.0928, loss_rpn_bbox_unlabeled: 0.1044, loss_cls_unlabeled: 0.1668, acc_unlabeled: 91.4955, loss_bbox_unlabeled: 0.1756, losses_cls_ig_unlabeled: 0.1491, pseudo_num: 1.8434, pseudo_num_ig: 6.1694, pseudo_num_mining: 0.5804, pseudo_num(acc): 0.6896, pseudo_num ig(acc): 0.3707, loss: 1.0562
2021-11-06 15:08:01,317 - mmdet - INFO - Iter [9600/40000]	lr: 2.000e-02, eta: 16:02:29, time: 1.683, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0408, loss_cls: 0.1111, acc: 95.6173, loss_bbox: 0.2034, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.1020, loss_cls_unlabeled: 0.1645, acc_unlabeled: 91.4716, loss_bbox_unlabeled: 0.1723, losses_cls_ig_unlabeled: 0.1507, pseudo_num: 1.8421, pseudo_num_ig: 6.1685, pseudo_num_mining: 0.5815, pseudo_num(acc): 0.6902, pseudo_num ig(acc): 0.3709, loss: 1.0542
2021-11-06 15:09:26,000 - mmdet - INFO - Iter [9650/40000]	lr: 2.000e-02, eta: 16:00:21, time: 1.687, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0416, loss_cls: 0.1075, acc: 95.7632, loss_bbox: 0.2005, loss_rpn_cls_unlabeled: 0.0993, loss_rpn_bbox_unlabeled: 0.1052, loss_cls_unlabeled: 0.1713, acc_unlabeled: 91.5658, loss_bbox_unlabeled: 0.1810, losses_cls_ig_unlabeled: 0.1420, pseudo_num: 1.8407, pseudo_num_ig: 6.1668, pseudo_num_mining: 0.5825, pseudo_num(acc): 0.6907, pseudo_num ig(acc): 0.3710, loss: 1.0641
2021-11-06 15:10:51,225 - mmdet - INFO - Iter [9700/40000]	lr: 2.000e-02, eta: 15:58:16, time: 1.708, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0418, loss_cls: 0.1137, acc: 95.5822, loss_bbox: 0.2092, loss_rpn_cls_unlabeled: 0.0915, loss_rpn_bbox_unlabeled: 0.1042, loss_cls_unlabeled: 0.1726, acc_unlabeled: 91.3938, loss_bbox_unlabeled: 0.1861, losses_cls_ig_unlabeled: 0.1471, pseudo_num: 1.8398, pseudo_num_ig: 6.1652, pseudo_num_mining: 0.5835, pseudo_num(acc): 0.6912, pseudo_num ig(acc): 0.3711, loss: 1.0831
2021-11-06 15:12:14,346 - mmdet - INFO - Iter [9750/40000]	lr: 2.000e-02, eta: 15:56:05, time: 1.664, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0393, loss_cls: 0.1068, acc: 95.8279, loss_bbox: 0.1976, loss_rpn_cls_unlabeled: 0.0970, loss_rpn_bbox_unlabeled: 0.1040, loss_cls_unlabeled: 0.1833, acc_unlabeled: 91.1019, loss_bbox_unlabeled: 0.1900, losses_cls_ig_unlabeled: 0.1569, pseudo_num: 1.8389, pseudo_num_ig: 6.1643, pseudo_num_mining: 0.5844, pseudo_num(acc): 0.6917, pseudo_num ig(acc): 0.3712, loss: 1.0915
2021-11-06 15:13:39,807 - mmdet - INFO - Iter [9800/40000]	lr: 2.000e-02, eta: 15:54:01, time: 1.708, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0413, loss_cls: 0.1068, acc: 95.8203, loss_bbox: 0.1968, loss_rpn_cls_unlabeled: 0.0967, loss_rpn_bbox_unlabeled: 0.1089, loss_cls_unlabeled: 0.1761, acc_unlabeled: 91.2258, loss_bbox_unlabeled: 0.1855, losses_cls_ig_unlabeled: 0.1522, pseudo_num: 1.8380, pseudo_num_ig: 6.1641, pseudo_num_mining: 0.5855, pseudo_num(acc): 0.6922, pseudo_num ig(acc): 0.3713, loss: 1.0814
2021-11-06 15:15:04,856 - mmdet - INFO - Iter [9850/40000]	lr: 2.000e-02, eta: 15:51:57, time: 1.703, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0426, loss_cls: 0.1099, acc: 95.6860, loss_bbox: 0.2027, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.1740, acc_unlabeled: 91.4082, loss_bbox_unlabeled: 0.1794, losses_cls_ig_unlabeled: 0.1515, pseudo_num: 1.8371, pseudo_num_ig: 6.1638, pseudo_num_mining: 0.5865, pseudo_num(acc): 0.6927, pseudo_num ig(acc): 0.3714, loss: 1.0676
2021-11-06 15:16:28,323 - mmdet - INFO - Iter [9900/40000]	lr: 2.000e-02, eta: 15:49:48, time: 1.668, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0444, loss_cls: 0.1143, acc: 95.5807, loss_bbox: 0.2090, loss_rpn_cls_unlabeled: 0.0915, loss_rpn_bbox_unlabeled: 0.1054, loss_cls_unlabeled: 0.1860, acc_unlabeled: 90.9055, loss_bbox_unlabeled: 0.1876, losses_cls_ig_unlabeled: 0.1583, pseudo_num: 1.8360, pseudo_num_ig: 6.1640, pseudo_num_mining: 0.5877, pseudo_num(acc): 0.6930, pseudo_num ig(acc): 0.3715, loss: 1.1139
2021-11-06 15:17:53,291 - mmdet - INFO - Iter [9950/40000]	lr: 2.000e-02, eta: 15:47:44, time: 1.699, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0403, loss_cls: 0.1081, acc: 95.7618, loss_bbox: 0.2002, loss_rpn_cls_unlabeled: 0.0925, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.1741, acc_unlabeled: 91.3679, loss_bbox_unlabeled: 0.1825, losses_cls_ig_unlabeled: 0.1509, pseudo_num: 1.8351, pseudo_num_ig: 6.1624, pseudo_num_mining: 0.5884, pseudo_num(acc): 0.6934, pseudo_num ig(acc): 0.3716, loss: 1.0646
2021-11-06 15:19:16,323 - mmdet - INFO - pseudo pos: 0.98(19087.0-person) 0.86(533.0-bicycle) 0.92(2982.0-car) 0.97(575.0-motorcycle) 0.98(275.0-airplane) 0.99(432.0-bus) 0.98(402.0-train) 0.68(690.0-truck) 0.65(791.0-boat) 0.86(1054.0-traffic light) 0.99(186.0-fire hydrant) 0.99(146.0-stop sign) 0.63(132.0-parking meter) 0.56(675.0-bench) 0.89(582.0-bird) 0.93(383.0-cat) 0.92(371.0-dog) 0.94(532.0-horse) 0.95(376.0-sheep) 0.78(756.0-cow) 0.99(272.0-elephant) 1.00(100.0-bear) 0.99(541.0-zebra) 0.99(511.0-giraffe) 0.39(633.0-backpack) 0.78(841.0-umbrella) 0.38(1011.0-handbag) 0.80(458.0-tie) 0.62(497.0-suitcase) 0.90(167.0-frisbee) 0.50(505.0-skis) 0.11(645.0-snowboard) 0.95(421.0-sports ball) 0.75(707.0-kite) 0.81(239.0-baseball bat) 0.73(357.0-baseball glove) 0.93(379.0-skateboard) 0.78(425.0-surfboard) 0.93(245.0-tennis racket) 0.81(1535.0-bottle) 0.89(468.0-wine glass) 0.78(1635.0-cup) 0.30(307.0-fork) 0.26(758.0-knife) 0.22(551.0-spoon) 0.70(1512.0-bowl) 0.58(673.0-banana) 0.26(930.0-apple) 0.27(1244.0-sandwich) 0.28(540.0-orange) 0.67(448.0-broccoli) 0.43(595.0-carrot) 0.02(6614.0-hot dog) 0.93(441.0-pizza) 0.61(622.0-donut) 0.46(539.0-cake) 0.57(3760.0-chair) 0.66(479.0-couch) 0.63(758.0-potted plant) 0.86(342.0-bed) 0.66(1538.0-dining table) 0.91(299.0-toilet) 0.92(478.0-tv) 0.96(358.0-laptop) 0.94(103.0-mouse) 0.54(345.0-remote) 0.76(241.0-keyboard) 0.60(531.0-cell phone) 0.93(151.0-microwave) 0.69(367.0-oven) 0.00(4.0-toaster) 0.78(489.0-sink) 0.83(213.0-refrigerator) 0.23(1759.0-book) 0.95(376.0-clock) 0.82(416.0-vase) 0.57(106.0-scissors) 0.93(196.0-teddy bear) 0.00(0.0-hair drier) 0.18(240.0-toothbrush)
2021-11-06 15:19:16,324 - mmdet - INFO - pseudo ig: 0.57(70843.0-person) 0.30(1945.0-bicycle) 0.44(11663.0-car) 0.47(2223.0-motorcycle) 0.67(789.0-airplane) 0.58(1605.0-bus) 0.49(1346.0-train) 0.30(2626.0-truck) 0.28(3267.0-boat) 0.25(4507.0-traffic light) 0.51(516.0-fire hydrant) 0.46(632.0-stop sign) 0.20(413.0-parking meter) 0.17(2697.0-bench) 0.33(1807.0-bird) 0.67(1333.0-cat) 0.60(1179.0-dog) 0.48(1798.0-horse) 0.64(1516.0-sheep) 0.29(2964.0-cow) 0.79(1175.0-elephant) 0.53(378.0-bear) 0.50(1983.0-zebra) 0.68(1655.0-giraffe) 0.18(2468.0-backpack) 0.33(3049.0-umbrella) 0.12(3927.0-handbag) 0.25(1940.0-tie) 0.19(1856.0-suitcase) 0.38(814.0-frisbee) 0.25(1910.0-skis) 0.11(941.0-snowboard) 0.34(1813.0-sports ball) 0.29(2628.0-kite) 0.26(881.0-baseball bat) 0.22(1403.0-baseball glove) 0.39(1386.0-skateboard) 0.34(1664.0-surfboard) 0.61(1054.0-tennis racket) 0.31(6683.0-bottle) 0.33(1719.0-wine glass) 0.27(6951.0-cup) 0.18(1126.0-fork) 0.10(2855.0-knife) 0.08(2221.0-spoon) 0.24(5858.0-bowl) 0.20(2797.0-banana) 0.11(2565.0-apple) 0.14(1879.0-sandwich) 0.23(1125.0-orange) 0.31(2088.0-broccoli) 0.15(2560.0-carrot) 0.02(696.0-hot dog) 0.46(1563.0-pizza) 0.21(2329.0-donut) 0.18(1754.0-cake) 0.18(15432.0-chair) 0.28(1624.0-couch) 0.24(3010.0-potted plant) 0.40(1212.0-bed) 0.28(4579.0-dining table) 0.57(1180.0-toilet) 0.44(1697.0-tv) 0.49(1208.0-laptop) 0.49(392.0-mouse) 0.19(1462.0-remote) 0.41(798.0-keyboard) 0.20(2124.0-cell phone) 0.32(524.0-microwave) 0.20(1165.0-oven) 0.00(1.0-toaster) 0.35(1713.0-sink) 0.29(774.0-refrigerator) 0.13(7216.0-book) 0.57(1595.0-clock) 0.33(1530.0-vase) 0.25(398.0-scissors) 0.59(780.0-teddy bear) 0.00(0.0-hair drier) 0.05(772.0-toothbrush)
2021-11-06 15:19:16,324 - mmdet - INFO - pseudo gt: 87692.0 2305.0 14616.0 3029.0 1788.0 2197.0 1559.0 3354.0 3636.0 4329.0 674.0 670.0 411.0 3469.0 3457.0 1702.0 1844.0 2358.0 3315.0 2627.0 1888.0 418.0 1842.0 1860.0 3050.0 3834.0 4335.0 2137.0 2033.0 858.0 2164.0 908.0 2305.0 2927.0 1186.0 1239.0 1864.0 2021.0 1699.0 7823.0 2530.0 6737.0 1784.0 2538.0 1987.0 4625.0 3083.0 1993.0 1430.0 2038.0 2444.0 2654.0 1016.0 2110.0 2064.0 2011.0 13106.0 1929.0 2969.0 1469.0 5315.0 1448.0 2032.0 1782.0 805.0 1968.0 1023.0 2125.0 543.0 1069.0 69.0 1914.0 872.0 8721.0 2113.0 2078.0 485.0 1582.0 62.0 718.0
2021-11-06 15:19:16,325 - mmdet - INFO - pseudo mining: 12593.0 35.0 1414.0 126.0 105.0 188.0 113.0 44.0 104.0 334.0 103.0 308.0 2.0 8.0 39.0 160.0 61.0 144.0 403.0 76.0 398.0 51.0 364.0 479.0 15.0 217.0 3.0 61.0 7.0 112.0 21.0 3.0 410.0 449.0 64.0 125.0 65.0 37.0 345.0 431.0 32.0 305.0 3.0 13.0 2.0 241.0 54.0 37.0 33.0 164.0 135.0 60.0 1.0 90.0 76.0 10.0 39.0 6.0 116.0 10.0 57.0 320.0 272.0 132.0 111.0 20.0 55.0 54.0 37.0 10.0 0.0 138.0 9.0 36.0 822.0 20.0 4.0 117.0 0.0 0.0
2021-11-06 15:19:17,754 - mmdet - INFO - Saving checkpoint at 10000 iterations
2021-11-06 15:20:11,710 - mmdet - INFO - Evaluating bbox...
2021-11-06 15:21:18,660 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.374 | bicycle      | 0.156 | car            | 0.278 |
| motorcycle    | 0.220 | airplane     | 0.323 | bus            | 0.439 |
| train         | 0.341 | truck        | 0.129 | boat           | 0.109 |
| traffic light | 0.183 | fire hydrant | 0.436 | stop sign      | 0.482 |
| parking meter | 0.305 | bench        | 0.106 | bird           | 0.160 |
| cat           | 0.387 | dog          | 0.352 | horse          | 0.352 |
| sheep         | 0.258 | cow          | 0.303 | elephant       | 0.357 |
| bear          | 0.468 | zebra        | 0.405 | giraffe        | 0.467 |
| backpack      | 0.041 | umbrella     | 0.170 | handbag        | 0.042 |
| tie           | 0.151 | suitcase     | 0.082 | frisbee        | 0.338 |
| skis          | 0.058 | snowboard    | 0.047 | sports ball    | 0.293 |
| kite          | 0.218 | baseball bat | 0.110 | baseball glove | 0.203 |
| skateboard    | 0.229 | surfboard    | 0.145 | tennis racket  | 0.238 |
| bottle        | 0.216 | wine glass   | 0.154 | cup            | 0.233 |
| fork          | 0.026 | knife        | 0.029 | spoon          | 0.020 |
| bowl          | 0.236 | banana       | 0.076 | apple          | 0.078 |
| sandwich      | 0.136 | orange       | 0.146 | broccoli       | 0.119 |
| carrot        | 0.053 | hot dog      | 0.014 | pizza          | 0.310 |
| donut         | 0.193 | cake         | 0.093 | chair          | 0.097 |
| couch         | 0.184 | potted plant | 0.117 | bed            | 0.253 |
| dining table  | 0.123 | toilet       | 0.368 | tv             | 0.358 |
| laptop        | 0.338 | mouse        | 0.381 | remote         | 0.055 |
| keyboard      | 0.232 | cell phone   | 0.159 | microwave      | 0.274 |
| oven          | 0.160 | toaster      | 0.005 | sink           | 0.183 |
| refrigerator  | 0.254 | book         | 0.016 | clock          | 0.375 |
| vase          | 0.174 | scissors     | 0.113 | teddy bear     | 0.244 |
| hair drier    | 0.000 | toothbrush   | 0.035 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 15:22:11,274 - mmdet - INFO - Evaluating bbox...
2021-11-06 15:23:18,569 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.393 | bicycle      | 0.174 | car            | 0.299 |
| motorcycle    | 0.240 | airplane     | 0.308 | bus            | 0.458 |
| train         | 0.371 | truck        | 0.145 | boat           | 0.124 |
| traffic light | 0.200 | fire hydrant | 0.445 | stop sign      | 0.489 |
| parking meter | 0.317 | bench        | 0.115 | bird           | 0.168 |
| cat           | 0.413 | dog          | 0.368 | horse          | 0.366 |
| sheep         | 0.285 | cow          | 0.325 | elephant       | 0.416 |
| bear          | 0.482 | zebra        | 0.435 | giraffe        | 0.489 |
| backpack      | 0.048 | umbrella     | 0.183 | handbag        | 0.049 |
| tie           | 0.175 | suitcase     | 0.097 | frisbee        | 0.366 |
| skis          | 0.056 | snowboard    | 0.059 | sports ball    | 0.312 |
| kite          | 0.220 | baseball bat | 0.124 | baseball glove | 0.229 |
| skateboard    | 0.248 | surfboard    | 0.164 | tennis racket  | 0.254 |
| bottle        | 0.238 | wine glass   | 0.192 | cup            | 0.255 |
| fork          | 0.031 | knife        | 0.032 | spoon          | 0.023 |
| bowl          | 0.265 | banana       | 0.088 | apple          | 0.090 |
| sandwich      | 0.169 | orange       | 0.163 | broccoli       | 0.137 |
| carrot        | 0.064 | hot dog      | 0.020 | pizza          | 0.339 |
| donut         | 0.240 | cake         | 0.096 | chair          | 0.112 |
| couch         | 0.208 | potted plant | 0.121 | bed            | 0.270 |
| dining table  | 0.137 | toilet       | 0.375 | tv             | 0.392 |
| laptop        | 0.373 | mouse        | 0.405 | remote         | 0.068 |
| keyboard      | 0.271 | cell phone   | 0.187 | microwave      | 0.306 |
| oven          | 0.170 | toaster      | 0.031 | sink           | 0.170 |
| refrigerator  | 0.321 | book         | 0.022 | clock          | 0.389 |
| vase          | 0.203 | scissors     | 0.085 | teddy bear     | 0.255 |
| hair drier    | 0.000 | toothbrush   | 0.042 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 15:24:42,749 - mmdet - INFO - current percent: 0.2
2021-11-06 15:24:42,749 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (0.99-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.96-boat) (0.98-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.75-parking meter) (0.94-bench) (0.99-bird) (0.99-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.97-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.91-backpack) (0.99-umbrella) (0.79-handbag) (0.97-tie) (0.95-suitcase) (0.99-frisbee) (0.94-skis) (0.91-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (0.99-skateboard) (0.98-surfboard) (1.00-tennis racket) (0.98-bottle) (0.99-wine glass) (0.97-cup) (0.90-fork) (0.90-knife) (0.87-spoon) (0.98-bowl) (0.95-banana) (0.94-apple) (0.94-sandwich) (0.98-orange) (0.98-broccoli) (0.92-carrot) (0.92-hot dog) (0.98-pizza) (0.89-donut) (0.97-cake) (0.91-chair) (0.97-couch) (0.98-potted plant) (0.98-bed) (0.98-dining table) (1.00-toilet) (0.99-tv) (0.99-laptop) (1.00-mouse) (0.86-remote) (1.00-keyboard) (0.97-cell phone) (0.99-microwave) (0.98-oven) (0.16-toaster) (0.99-sink) (0.99-refrigerator) (0.90-book) (1.00-clock) (0.97-vase) (0.68-scissors) (1.00-teddy bear) (0.05-hair drier) (0.58-toothbrush)
2021-11-06 15:24:42,750 - mmdet - INFO - update score thr (ignore): (0.23-person) (0.17-bicycle) (0.36-car) (0.30-motorcycle) (0.52-airplane) (0.39-bus) (0.32-train) (0.41-truck) (0.26-boat) (0.34-traffic light) (0.46-fire hydrant) (0.75-stop sign) (0.10-parking meter) (0.26-bench) (0.13-bird) (0.48-cat) (0.38-dog) (0.33-horse) (0.89-sheep) (0.30-cow) (0.75-elephant) (0.45-bear) (0.08-zebra) (0.13-giraffe) (0.34-backpack) (0.21-umbrella) (0.19-handbag) (0.20-tie) (0.24-suitcase) (0.59-frisbee) (0.28-skis) (0.41-snowboard) (0.36-sports ball) (0.48-kite) (0.50-baseball bat) (0.51-baseball glove) (0.27-skateboard) (0.33-surfboard) (0.69-tennis racket) (0.31-bottle) (0.19-wine glass) (0.23-cup) (0.10-fork) (0.30-knife) (0.23-spoon) (0.32-bowl) (0.18-banana) (0.31-apple) (0.39-sandwich) (0.48-orange) (0.34-broccoli) (0.37-carrot) (0.81-hot dog) (0.26-pizza) (0.18-donut) (0.29-cake) (0.20-chair) (0.40-couch) (0.35-potted plant) (0.38-bed) (0.32-dining table) (0.56-toilet) (0.58-tv) (0.31-laptop) (0.81-mouse) (0.16-remote) (0.52-keyboard) (0.33-cell phone) (0.54-microwave) (0.40-oven) (0.05-toaster) (0.32-sink) (0.47-refrigerator) (0.27-book) (0.58-clock) (0.25-vase) (0.07-scissors) (0.66-teddy bear) (0.05-hair drier) (0.09-toothbrush)
2021-11-06 15:24:43,033 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 15:24:43,033 - mmdet - INFO - Iter [10000/40000]	lr: 2.000e-02, eta: 15:45:41, time: 1.706, data_time: 0.028, memory: 26488, bbox_mAP: 0.2220, bbox_mAP_50: 0.4000, bbox_mAP_75: 0.2220, bbox_mAP_s: 0.1100, bbox_mAP_m: 0.2460, bbox_mAP_l: 0.2950, bbox_mAP_copypaste: 0.222 0.400 0.222 0.110 0.246 0.295, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0401, loss_cls: 0.1102, acc: 95.6877, loss_bbox: 0.1979, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.1051, loss_cls_unlabeled: 0.1879, acc_unlabeled: 91.0183, loss_bbox_unlabeled: 0.1960, losses_cls_ig_unlabeled: 0.1572, pseudo_num: 1.8345, pseudo_num_ig: 6.1621, pseudo_num_mining: 0.5892, pseudo_num(acc): 0.6937, pseudo_num ig(acc): 0.3717, loss: 1.1007
2021-11-06 15:26:09,835 - mmdet - INFO - Iter [10050/40000]	lr: 2.000e-02, eta: 15:59:51, time: 8.224, data_time: 6.516, memory: 26488, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0412, loss_cls: 0.1097, acc: 95.7136, loss_bbox: 0.1997, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.1015, loss_cls_unlabeled: 0.1713, acc_unlabeled: 91.3309, loss_bbox_unlabeled: 0.1803, losses_cls_ig_unlabeled: 0.1524, pseudo_num: 1.8335, pseudo_num_ig: 6.1616, pseudo_num_mining: 0.5903, pseudo_num(acc): 0.6942, pseudo_num ig(acc): 0.3718, loss: 1.0643
2021-11-06 15:27:33,796 - mmdet - INFO - Iter [10100/40000]	lr: 2.000e-02, eta: 15:57:39, time: 1.681, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0427, loss_cls: 0.1120, acc: 95.6345, loss_bbox: 0.2022, loss_rpn_cls_unlabeled: 0.0919, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1700, acc_unlabeled: 91.0524, loss_bbox_unlabeled: 0.1751, losses_cls_ig_unlabeled: 0.1591, pseudo_num: 1.8321, pseudo_num_ig: 6.1612, pseudo_num_mining: 0.5915, pseudo_num(acc): 0.6948, pseudo_num ig(acc): 0.3720, loss: 1.0701
2021-11-06 15:28:58,222 - mmdet - INFO - Iter [10150/40000]	lr: 2.000e-02, eta: 15:55:28, time: 1.687, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0403, loss_cls: 0.1088, acc: 95.7205, loss_bbox: 0.2001, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.1618, acc_unlabeled: 91.3784, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1530, pseudo_num: 1.8302, pseudo_num_ig: 6.1607, pseudo_num_mining: 0.5926, pseudo_num(acc): 0.6953, pseudo_num ig(acc): 0.3721, loss: 1.0504
2021-11-06 15:30:23,556 - mmdet - INFO - Iter [10200/40000]	lr: 2.000e-02, eta: 15:53:20, time: 1.703, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0399, loss_cls: 0.1068, acc: 95.8191, loss_bbox: 0.1983, loss_rpn_cls_unlabeled: 0.0955, loss_rpn_bbox_unlabeled: 0.1046, loss_cls_unlabeled: 0.1743, acc_unlabeled: 91.1427, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1577, pseudo_num: 1.8286, pseudo_num_ig: 6.1596, pseudo_num_mining: 0.5935, pseudo_num(acc): 0.6957, pseudo_num ig(acc): 0.3722, loss: 1.0705
2021-11-06 15:31:49,610 - mmdet - INFO - Iter [10250/40000]	lr: 2.000e-02, eta: 15:51:16, time: 1.724, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0405, loss_cls: 0.1104, acc: 95.6829, loss_bbox: 0.2000, loss_rpn_cls_unlabeled: 0.0928, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.1649, acc_unlabeled: 91.3296, loss_bbox_unlabeled: 0.1709, losses_cls_ig_unlabeled: 0.1551, pseudo_num: 1.8269, pseudo_num_ig: 6.1592, pseudo_num_mining: 0.5946, pseudo_num(acc): 0.6962, pseudo_num ig(acc): 0.3723, loss: 1.0541
2021-11-06 15:33:14,624 - mmdet - INFO - Iter [10300/40000]	lr: 2.000e-02, eta: 15:49:08, time: 1.698, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0396, loss_cls: 0.1067, acc: 95.8439, loss_bbox: 0.1956, loss_rpn_cls_unlabeled: 0.0936, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.1665, acc_unlabeled: 91.2640, loss_bbox_unlabeled: 0.1775, losses_cls_ig_unlabeled: 0.1553, pseudo_num: 1.8254, pseudo_num_ig: 6.1590, pseudo_num_mining: 0.5956, pseudo_num(acc): 0.6968, pseudo_num ig(acc): 0.3724, loss: 1.0541
2021-11-06 15:34:39,372 - mmdet - INFO - Iter [10350/40000]	lr: 2.000e-02, eta: 15:47:00, time: 1.694, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0394, loss_cls: 0.1104, acc: 95.7076, loss_bbox: 0.2002, loss_rpn_cls_unlabeled: 0.0919, loss_rpn_bbox_unlabeled: 0.1026, loss_cls_unlabeled: 0.1667, acc_unlabeled: 91.1150, loss_bbox_unlabeled: 0.1729, losses_cls_ig_unlabeled: 0.1579, pseudo_num: 1.8240, pseudo_num_ig: 6.1589, pseudo_num_mining: 0.5966, pseudo_num(acc): 0.6973, pseudo_num ig(acc): 0.3725, loss: 1.0579
2021-11-06 15:36:04,269 - mmdet - INFO - Iter [10400/40000]	lr: 2.000e-02, eta: 15:44:54, time: 1.698, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0393, loss_cls: 0.1090, acc: 95.7524, loss_bbox: 0.1949, loss_rpn_cls_unlabeled: 0.0952, loss_rpn_bbox_unlabeled: 0.1071, loss_cls_unlabeled: 0.1689, acc_unlabeled: 91.0780, loss_bbox_unlabeled: 0.1767, losses_cls_ig_unlabeled: 0.1656, pseudo_num: 1.8223, pseudo_num_ig: 6.1586, pseudo_num_mining: 0.5975, pseudo_num(acc): 0.6977, pseudo_num ig(acc): 0.3726, loss: 1.0722
2021-11-06 15:37:27,705 - mmdet - INFO - Iter [10450/40000]	lr: 2.000e-02, eta: 15:42:43, time: 1.672, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0408, loss_cls: 0.1074, acc: 95.7952, loss_bbox: 0.1996, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1564, acc_unlabeled: 91.4933, loss_bbox_unlabeled: 0.1670, losses_cls_ig_unlabeled: 0.1509, pseudo_num: 1.8208, pseudo_num_ig: 6.1587, pseudo_num_mining: 0.5985, pseudo_num(acc): 0.6982, pseudo_num ig(acc): 0.3728, loss: 1.0212
2021-11-06 15:38:50,165 - mmdet - INFO - pseudo pos: 0.98(20018.0-person) 0.86(562.0-bicycle) 0.92(3105.0-car) 0.97(597.0-motorcycle) 0.98(286.0-airplane) 0.99(450.0-bus) 0.97(420.0-train) 0.69(724.0-truck) 0.65(827.0-boat) 0.86(1095.0-traffic light) 0.99(192.0-fire hydrant) 0.99(151.0-stop sign) 0.63(144.0-parking meter) 0.57(712.0-bench) 0.89(607.0-bird) 0.94(403.0-cat) 0.92(383.0-dog) 0.94(550.0-horse) 0.95(388.0-sheep) 0.77(797.0-cow) 0.99(280.0-elephant) 1.00(106.0-bear) 0.99(555.0-zebra) 0.99(542.0-giraffe) 0.39(674.0-backpack) 0.79(915.0-umbrella) 0.38(1090.0-handbag) 0.81(480.0-tie) 0.63(521.0-suitcase) 0.91(182.0-frisbee) 0.50(529.0-skis) 0.11(652.0-snowboard) 0.95(448.0-sports ball) 0.74(747.0-kite) 0.81(247.0-baseball bat) 0.73(364.0-baseball glove) 0.93(392.0-skateboard) 0.78(442.0-surfboard) 0.94(255.0-tennis racket) 0.81(1615.0-bottle) 0.89(488.0-wine glass) 0.79(1725.0-cup) 0.31(328.0-fork) 0.26(797.0-knife) 0.22(575.0-spoon) 0.71(1594.0-bowl) 0.58(698.0-banana) 0.27(949.0-apple) 0.28(1265.0-sandwich) 0.29(546.0-orange) 0.66(480.0-broccoli) 0.43(632.0-carrot) 0.02(6614.0-hot dog) 0.93(470.0-pizza) 0.60(654.0-donut) 0.47(560.0-cake) 0.57(3938.0-chair) 0.67(504.0-couch) 0.64(790.0-potted plant) 0.86(359.0-bed) 0.67(1626.0-dining table) 0.91(315.0-toilet) 0.92(501.0-tv) 0.96(371.0-laptop) 0.94(109.0-mouse) 0.54(355.0-remote) 0.76(248.0-keyboard) 0.61(557.0-cell phone) 0.94(154.0-microwave) 0.70(381.0-oven) 0.00(4.0-toaster) 0.78(514.0-sink) 0.83(224.0-refrigerator) 0.23(1839.0-book) 0.95(385.0-clock) 0.82(436.0-vase) 0.52(120.0-scissors) 0.92(207.0-teddy bear) 0.00(0.0-hair drier) 0.18(251.0-toothbrush)
2021-11-06 15:38:50,165 - mmdet - INFO - pseudo ig: 0.57(74470.0-person) 0.29(2052.0-bicycle) 0.44(12258.0-car) 0.48(2333.0-motorcycle) 0.68(855.0-airplane) 0.58(1696.0-bus) 0.49(1386.0-train) 0.30(2734.0-truck) 0.28(3396.0-boat) 0.25(4686.0-traffic light) 0.51(541.0-fire hydrant) 0.46(657.0-stop sign) 0.19(431.0-parking meter) 0.17(2830.0-bench) 0.32(1898.0-bird) 0.67(1396.0-cat) 0.61(1238.0-dog) 0.49(1914.0-horse) 0.65(1548.0-sheep) 0.29(3125.0-cow) 0.79(1213.0-elephant) 0.53(396.0-bear) 0.50(2059.0-zebra) 0.68(1771.0-giraffe) 0.18(2579.0-backpack) 0.33(3256.0-umbrella) 0.12(4198.0-handbag) 0.25(2015.0-tie) 0.19(1952.0-suitcase) 0.37(851.0-frisbee) 0.25(2000.0-skis) 0.11(958.0-snowboard) 0.34(1883.0-sports ball) 0.30(2823.0-kite) 0.26(918.0-baseball bat) 0.22(1451.0-baseball glove) 0.39(1454.0-skateboard) 0.34(1744.0-surfboard) 0.62(1100.0-tennis racket) 0.31(7055.0-bottle) 0.33(1803.0-wine glass) 0.27(7337.0-cup) 0.19(1187.0-fork) 0.10(2985.0-knife) 0.08(2336.0-spoon) 0.25(6157.0-bowl) 0.20(2942.0-banana) 0.11(2677.0-apple) 0.14(1966.0-sandwich) 0.24(1179.0-orange) 0.32(2240.0-broccoli) 0.15(2690.0-carrot) 0.02(699.0-hot dog) 0.45(1665.0-pizza) 0.20(2541.0-donut) 0.19(1845.0-cake) 0.18(16100.0-chair) 0.28(1700.0-couch) 0.24(3140.0-potted plant) 0.40(1276.0-bed) 0.28(4846.0-dining table) 0.57(1263.0-toilet) 0.44(1769.0-tv) 0.49(1260.0-laptop) 0.50(408.0-mouse) 0.19(1516.0-remote) 0.41(835.0-keyboard) 0.20(2249.0-cell phone) 0.33(550.0-microwave) 0.20(1221.0-oven) 0.00(1.0-toaster) 0.35(1811.0-sink) 0.29(811.0-refrigerator) 0.13(7497.0-book) 0.57(1660.0-clock) 0.34(1629.0-vase) 0.25(448.0-scissors) 0.59(846.0-teddy bear) 0.00(0.0-hair drier) 0.05(805.0-toothbrush)
2021-11-06 15:38:50,166 - mmdet - INFO - pseudo gt: 92037.0 2434.0 15365.0 3197.0 1904.0 2287.0 1620.0 3531.0 3786.0 4549.0 705.0 698.0 434.0 3642.0 3680.0 1775.0 1928.0 2503.0 3447.0 2786.0 1957.0 442.0 1908.0 1977.0 3228.0 4071.0 4591.0 2251.0 2140.0 902.0 2279.0 938.0 2422.0 3138.0 1221.0 1289.0 1958.0 2138.0 1789.0 8230.0 2627.0 7090.0 1879.0 2657.0 2097.0 4865.0 3246.0 2089.0 1517.0 2194.0 2600.0 2803.0 1059.0 2234.0 2115.0 2132.0 13706.0 2041.0 3107.0 1553.0 5574.0 1537.0 2132.0 1856.0 854.0 2043.0 1062.0 2245.0 566.0 1124.0 73.0 2013.0 919.0 9026.0 2189.0 2206.0 515.0 1689.0 68.0 752.0
2021-11-06 15:38:50,166 - mmdet - INFO - pseudo mining: 13435.0 36.0 1516.0 137.0 115.0 205.0 117.0 47.0 111.0 357.0 112.0 320.0 2.0 9.0 45.0 171.0 68.0 166.0 419.0 82.0 418.0 59.0 393.0 516.0 18.0 242.0 5.0 67.0 8.0 122.0 24.0 6.0 430.0 492.0 70.0 134.0 71.0 41.0 375.0 459.0 37.0 320.0 3.0 14.0 2.0 262.0 57.0 43.0 33.0 180.0 145.0 62.0 1.0 92.0 79.0 11.0 42.0 8.0 122.0 11.0 60.0 354.0 292.0 138.0 123.0 20.0 63.0 59.0 40.0 11.0 0.0 151.0 11.0 41.0 858.0 24.0 4.0 139.0 0.0 0.0
2021-11-06 15:38:52,007 - mmdet - INFO - Iter [10500/40000]	lr: 2.000e-02, eta: 15:40:35, time: 1.683, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0388, loss_cls: 0.1022, acc: 96.0135, loss_bbox: 0.1907, loss_rpn_cls_unlabeled: 0.0953, loss_rpn_bbox_unlabeled: 0.1025, loss_cls_unlabeled: 0.1635, acc_unlabeled: 91.3555, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1547, pseudo_num: 1.8193, pseudo_num_ig: 6.1580, pseudo_num_mining: 0.5995, pseudo_num(acc): 0.6986, pseudo_num ig(acc): 0.3729, loss: 1.0365
2021-11-06 15:40:15,762 - mmdet - INFO - Iter [10550/40000]	lr: 2.000e-02, eta: 15:38:27, time: 1.680, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0405, loss_cls: 0.1087, acc: 95.7340, loss_bbox: 0.2035, loss_rpn_cls_unlabeled: 0.0947, loss_rpn_bbox_unlabeled: 0.1036, loss_cls_unlabeled: 0.1685, acc_unlabeled: 91.3954, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1538, pseudo_num: 1.8180, pseudo_num_ig: 6.1574, pseudo_num_mining: 0.6006, pseudo_num(acc): 0.6991, pseudo_num ig(acc): 0.3730, loss: 1.0689
2021-11-06 15:41:41,160 - mmdet - INFO - Iter [10600/40000]	lr: 2.000e-02, eta: 15:36:22, time: 1.704, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0395, loss_cls: 0.1031, acc: 95.9670, loss_bbox: 0.1945, loss_rpn_cls_unlabeled: 0.0917, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.1620, acc_unlabeled: 91.3140, loss_bbox_unlabeled: 0.1706, losses_cls_ig_unlabeled: 0.1591, pseudo_num: 1.8164, pseudo_num_ig: 6.1561, pseudo_num_mining: 0.6015, pseudo_num(acc): 0.6995, pseudo_num ig(acc): 0.3731, loss: 1.0351
2021-11-06 15:43:07,080 - mmdet - INFO - Iter [10650/40000]	lr: 2.000e-02, eta: 15:34:21, time: 1.722, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0410, loss_cls: 0.1081, acc: 95.7297, loss_bbox: 0.1988, loss_rpn_cls_unlabeled: 0.0933, loss_rpn_bbox_unlabeled: 0.1031, loss_cls_unlabeled: 0.1652, acc_unlabeled: 91.2830, loss_bbox_unlabeled: 0.1696, losses_cls_ig_unlabeled: 0.1532, pseudo_num: 1.8147, pseudo_num_ig: 6.1562, pseudo_num_mining: 0.6025, pseudo_num(acc): 0.6999, pseudo_num ig(acc): 0.3732, loss: 1.0486
2021-11-06 15:44:32,601 - mmdet - INFO - Iter [10700/40000]	lr: 2.000e-02, eta: 15:32:18, time: 1.711, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0397, loss_cls: 0.1006, acc: 96.0585, loss_bbox: 0.1888, loss_rpn_cls_unlabeled: 0.0937, loss_rpn_bbox_unlabeled: 0.1030, loss_cls_unlabeled: 0.1640, acc_unlabeled: 91.4572, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1487, pseudo_num: 1.8134, pseudo_num_ig: 6.1557, pseudo_num_mining: 0.6035, pseudo_num(acc): 0.7003, pseudo_num ig(acc): 0.3733, loss: 1.0298
2021-11-06 15:45:55,851 - mmdet - INFO - Iter [10750/40000]	lr: 2.000e-02, eta: 15:30:09, time: 1.663, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0391, loss_cls: 0.1083, acc: 95.7538, loss_bbox: 0.2014, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.0995, loss_cls_unlabeled: 0.1741, acc_unlabeled: 91.2174, loss_bbox_unlabeled: 0.1877, losses_cls_ig_unlabeled: 0.1523, pseudo_num: 1.8124, pseudo_num_ig: 6.1556, pseudo_num_mining: 0.6046, pseudo_num(acc): 0.7007, pseudo_num ig(acc): 0.3734, loss: 1.0696
2021-11-06 15:47:21,088 - mmdet - INFO - Iter [10800/40000]	lr: 2.000e-02, eta: 15:28:06, time: 1.705, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0401, loss_cls: 0.1031, acc: 95.9696, loss_bbox: 0.1917, loss_rpn_cls_unlabeled: 0.0927, loss_rpn_bbox_unlabeled: 0.1021, loss_cls_unlabeled: 0.1676, acc_unlabeled: 91.5653, loss_bbox_unlabeled: 0.1782, losses_cls_ig_unlabeled: 0.1467, pseudo_num: 1.8113, pseudo_num_ig: 6.1555, pseudo_num_mining: 0.6057, pseudo_num(acc): 0.7012, pseudo_num ig(acc): 0.3735, loss: 1.0383
2021-11-06 15:48:45,851 - mmdet - INFO - Iter [10850/40000]	lr: 2.000e-02, eta: 15:26:02, time: 1.694, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0409, loss_cls: 0.1043, acc: 95.9030, loss_bbox: 0.1944, loss_rpn_cls_unlabeled: 0.0926, loss_rpn_bbox_unlabeled: 0.1040, loss_cls_unlabeled: 0.1616, acc_unlabeled: 91.3022, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.1546, pseudo_num: 1.8100, pseudo_num_ig: 6.1550, pseudo_num_mining: 0.6066, pseudo_num(acc): 0.7016, pseudo_num ig(acc): 0.3735, loss: 1.0393
2021-11-06 15:50:09,844 - mmdet - INFO - Iter [10900/40000]	lr: 2.000e-02, eta: 15:23:57, time: 1.680, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0386, loss_cls: 0.1040, acc: 95.8816, loss_bbox: 0.1960, loss_rpn_cls_unlabeled: 0.0905, loss_rpn_bbox_unlabeled: 0.0998, loss_cls_unlabeled: 0.1683, acc_unlabeled: 91.1876, loss_bbox_unlabeled: 0.1805, losses_cls_ig_unlabeled: 0.1538, pseudo_num: 1.8087, pseudo_num_ig: 6.1537, pseudo_num_mining: 0.6075, pseudo_num(acc): 0.7021, pseudo_num ig(acc): 0.3737, loss: 1.0468
2021-11-06 15:51:35,950 - mmdet - INFO - Iter [10950/40000]	lr: 2.000e-02, eta: 15:21:58, time: 1.724, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0417, loss_cls: 0.1072, acc: 95.8339, loss_bbox: 0.1972, loss_rpn_cls_unlabeled: 0.0897, loss_rpn_bbox_unlabeled: 0.1011, loss_cls_unlabeled: 0.1677, acc_unlabeled: 91.5262, loss_bbox_unlabeled: 0.1776, losses_cls_ig_unlabeled: 0.1531, pseudo_num: 1.8075, pseudo_num_ig: 6.1533, pseudo_num_mining: 0.6085, pseudo_num(acc): 0.7025, pseudo_num ig(acc): 0.3737, loss: 1.0520
2021-11-06 15:54:14,709 - mmdet - INFO - pseudo pos: 0.98(20839.0-person) 0.86(596.0-bicycle) 0.92(3234.0-car) 0.97(626.0-motorcycle) 0.98(298.0-airplane) 0.99(464.0-bus) 0.97(442.0-train) 0.68(766.0-truck) 0.65(862.0-boat) 0.86(1163.0-traffic light) 0.99(194.0-fire hydrant) 0.98(157.0-stop sign) 0.64(166.0-parking meter) 0.56(749.0-bench) 0.90(623.0-bird) 0.94(422.0-cat) 0.92(406.0-dog) 0.94(570.0-horse) 0.95(395.0-sheep) 0.78(843.0-cow) 0.99(293.0-elephant) 1.00(110.0-bear) 0.99(581.0-zebra) 0.99(565.0-giraffe) 0.39(711.0-backpack) 0.78(953.0-umbrella) 0.38(1141.0-handbag) 0.82(508.0-tie) 0.64(550.0-suitcase) 0.91(194.0-frisbee) 0.50(547.0-skis) 0.12(655.0-snowboard) 0.95(471.0-sports ball) 0.75(784.0-kite) 0.80(253.0-baseball bat) 0.74(372.0-baseball glove) 0.93(410.0-skateboard) 0.78(462.0-surfboard) 0.94(264.0-tennis racket) 0.81(1683.0-bottle) 0.89(502.0-wine glass) 0.79(1801.0-cup) 0.31(343.0-fork) 0.27(831.0-knife) 0.23(605.0-spoon) 0.71(1653.0-bowl) 0.58(736.0-banana) 0.28(968.0-apple) 0.29(1289.0-sandwich) 0.29(547.0-orange) 0.67(509.0-broccoli) 0.44(668.0-carrot) 0.02(6615.0-hot dog) 0.94(502.0-pizza) 0.60(715.0-donut) 0.47(584.0-cake) 0.58(4088.0-chair) 0.68(520.0-couch) 0.64(812.0-potted plant) 0.86(378.0-bed) 0.67(1703.0-dining table) 0.91(320.0-toilet) 0.93(516.0-tv) 0.96(393.0-laptop) 0.95(114.0-mouse) 0.54(366.0-remote) 0.75(261.0-keyboard) 0.61(575.0-cell phone) 0.94(160.0-microwave) 0.70(399.0-oven) 0.00(4.0-toaster) 0.78(535.0-sink) 0.84(230.0-refrigerator) 0.23(1918.0-book) 0.96(407.0-clock) 0.82(451.0-vase) 0.52(128.0-scissors) 0.92(218.0-teddy bear) 0.00(0.0-hair drier) 0.18(265.0-toothbrush)
2021-11-06 15:54:14,709 - mmdet - INFO - pseudo ig: 0.57(78111.0-person) 0.29(2167.0-bicycle) 0.44(12805.0-car) 0.49(2465.0-motorcycle) 0.68(907.0-airplane) 0.58(1761.0-bus) 0.49(1460.0-train) 0.30(2858.0-truck) 0.28(3511.0-boat) 0.26(4885.0-traffic light) 0.52(565.0-fire hydrant) 0.46(684.0-stop sign) 0.19(474.0-parking meter) 0.17(2940.0-bench) 0.32(1970.0-bird) 0.66(1463.0-cat) 0.61(1311.0-dog) 0.49(1998.0-horse) 0.65(1588.0-sheep) 0.29(3270.0-cow) 0.79(1284.0-elephant) 0.55(418.0-bear) 0.50(2179.0-zebra) 0.68(1826.0-giraffe) 0.18(2683.0-backpack) 0.33(3383.0-umbrella) 0.12(4460.0-handbag) 0.25(2097.0-tie) 0.19(2059.0-suitcase) 0.38(885.0-frisbee) 0.25(2076.0-skis) 0.12(973.0-snowboard) 0.34(1941.0-sports ball) 0.30(2947.0-kite) 0.26(959.0-baseball bat) 0.22(1487.0-baseball glove) 0.39(1511.0-skateboard) 0.34(1800.0-surfboard) 0.63(1135.0-tennis racket) 0.31(7408.0-bottle) 0.33(1879.0-wine glass) 0.27(7694.0-cup) 0.19(1242.0-fork) 0.10(3110.0-knife) 0.08(2458.0-spoon) 0.25(6437.0-bowl) 0.21(3116.0-banana) 0.12(2752.0-apple) 0.14(2040.0-sandwich) 0.24(1211.0-orange) 0.31(2389.0-broccoli) 0.15(2829.0-carrot) 0.02(699.0-hot dog) 0.45(1766.0-pizza) 0.20(2675.0-donut) 0.19(1930.0-cake) 0.19(16640.0-chair) 0.28(1775.0-couch) 0.24(3284.0-potted plant) 0.40(1341.0-bed) 0.28(5103.0-dining table) 0.57(1328.0-toilet) 0.45(1836.0-tv) 0.48(1324.0-laptop) 0.52(425.0-mouse) 0.19(1589.0-remote) 0.41(876.0-keyboard) 0.20(2368.0-cell phone) 0.33(578.0-microwave) 0.20(1277.0-oven) 0.00(1.0-toaster) 0.35(1918.0-sink) 0.30(846.0-refrigerator) 0.13(7860.0-book) 0.58(1736.0-clock) 0.34(1696.0-vase) 0.23(486.0-scissors) 0.59(871.0-teddy bear) 0.00(0.0-hair drier) 0.05(841.0-toothbrush)
2021-11-06 15:54:14,710 - mmdet - INFO - pseudo gt: 96265.0 2567.0 16132.0 3415.0 1980.0 2377.0 1706.0 3689.0 3924.0 4804.0 739.0 729.0 463.0 3853.0 3849.0 1861.0 2025.0 2614.0 3566.0 2970.0 2084.0 465.0 2005.0 2041.0 3380.0 4232.0 4803.0 2377.0 2302.0 948.0 2351.0 993.0 2497.0 3301.0 1262.0 1326.0 2029.0 2216.0 1851.0 8680.0 2734.0 7429.0 1963.0 2799.0 2203.0 5069.0 3435.0 2245.0 1570.0 2249.0 2736.0 2933.0 1115.0 2340.0 2240.0 2260.0 14325.0 2112.0 3222.0 1627.0 5837.0 1599.0 2231.0 1950.0 899.0 2111.0 1107.0 2361.0 595.0 1175.0 75.0 2118.0 957.0 9441.0 2290.0 2334.0 554.0 1784.0 73.0 795.0
2021-11-06 15:54:14,711 - mmdet - INFO - pseudo mining: 14210.0 37.0 1614.0 154.0 127.0 219.0 127.0 49.0 120.0 396.0 118.0 334.0 2.0 9.0 49.0 181.0 77.0 178.0 447.0 89.0 456.0 69.0 420.0 538.0 18.0 257.0 5.0 72.0 9.0 131.0 24.0 6.0 445.0 517.0 74.0 140.0 76.0 43.0 396.0 488.0 45.0 344.0 4.0 15.0 2.0 282.0 59.0 44.0 34.0 188.0 158.0 62.0 1.0 96.0 82.0 13.0 44.0 9.0 133.0 11.0 67.0 375.0 311.0 147.0 131.0 20.0 75.0 65.0 46.0 13.0 0.0 166.0 13.0 44.0 909.0 27.0 4.0 146.0 0.0 0.0
2021-11-06 15:55:39,792 - mmdet - INFO - current percent: 0.2
2021-11-06 15:55:39,792 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (0.99-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.98-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.98-parking meter) (0.95-bench) (0.97-bird) (0.99-cat) (0.99-dog) (0.99-horse) (0.99-sheep) (0.97-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.89-backpack) (0.99-umbrella) (0.89-handbag) (0.98-tie) (0.93-suitcase) (0.99-frisbee) (0.92-skis) (0.89-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.98-baseball glove) (0.99-skateboard) (0.98-surfboard) (1.00-tennis racket) (0.99-bottle) (0.98-wine glass) (0.97-cup) (0.89-fork) (0.90-knife) (0.89-spoon) (0.98-bowl) (0.98-banana) (0.92-apple) (0.97-sandwich) (0.99-orange) (0.98-broccoli) (0.93-carrot) (0.50-hot dog) (0.99-pizza) (0.95-donut) (0.96-cake) (0.93-chair) (0.98-couch) (0.98-potted plant) (0.99-bed) (0.98-dining table) (1.00-toilet) (1.00-tv) (0.99-laptop) (1.00-mouse) (0.90-remote) (1.00-keyboard) (0.95-cell phone) (0.99-microwave) (0.98-oven) (0.05-toaster) (0.99-sink) (0.98-refrigerator) (0.91-book) (1.00-clock) (0.98-vase) (0.94-scissors) (1.00-teddy bear) (0.05-hair drier) (0.84-toothbrush)
2021-11-06 15:55:39,792 - mmdet - INFO - update score thr (ignore): (0.22-person) (0.25-bicycle) (0.40-car) (0.24-motorcycle) (0.65-airplane) (0.40-bus) (0.37-train) (0.38-truck) (0.28-boat) (0.27-traffic light) (0.35-fire hydrant) (0.83-stop sign) (0.24-parking meter) (0.29-bench) (0.09-bird) (0.52-cat) (0.38-dog) (0.30-horse) (0.67-sheep) (0.31-cow) (0.71-elephant) (0.54-bear) (0.08-zebra) (0.08-giraffe) (0.33-backpack) (0.23-umbrella) (0.28-handbag) (0.21-tie) (0.18-suitcase) (0.50-frisbee) (0.21-skis) (0.27-snowboard) (0.27-sports ball) (0.44-kite) (0.35-baseball bat) (0.39-baseball glove) (0.31-skateboard) (0.30-surfboard) (0.43-tennis racket) (0.37-bottle) (0.18-wine glass) (0.28-cup) (0.09-fork) (0.30-knife) (0.24-spoon) (0.32-bowl) (0.34-banana) (0.24-apple) (0.54-sandwich) (0.62-orange) (0.36-broccoli) (0.37-carrot) (0.30-hot dog) (0.43-pizza) (0.35-donut) (0.34-cake) (0.20-chair) (0.48-couch) (0.39-potted plant) (0.39-bed) (0.37-dining table) (0.57-toilet) (0.55-tv) (0.33-laptop) (0.70-mouse) (0.19-remote) (0.37-keyboard) (0.33-cell phone) (0.49-microwave) (0.36-oven) (0.05-toaster) (0.48-sink) (0.52-refrigerator) (0.30-book) (0.65-clock) (0.28-vase) (0.23-scissors) (0.81-teddy bear) (0.05-hair drier) (0.21-toothbrush)
2021-11-06 15:55:40,130 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 15:55:40,130 - mmdet - INFO - Iter [11000/40000]	lr: 2.000e-02, eta: 15:23:14, time: 3.203, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0421, loss_cls: 0.1091, acc: 95.7451, loss_bbox: 0.1992, loss_rpn_cls_unlabeled: 0.0957, loss_rpn_bbox_unlabeled: 0.1026, loss_cls_unlabeled: 0.1683, acc_unlabeled: 91.4722, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1483, pseudo_num: 1.8064, pseudo_num_ig: 6.1523, pseudo_num_mining: 0.6094, pseudo_num(acc): 0.7030, pseudo_num ig(acc): 0.3738, loss: 1.0568
2021-11-06 15:57:03,704 - mmdet - INFO - Iter [11050/40000]	lr: 2.000e-02, eta: 15:24:47, time: 3.349, data_time: 1.706, memory: 26488, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0409, loss_cls: 0.1037, acc: 95.9259, loss_bbox: 0.1959, loss_rpn_cls_unlabeled: 0.0913, loss_rpn_bbox_unlabeled: 0.0989, loss_cls_unlabeled: 0.1627, acc_unlabeled: 91.6489, loss_bbox_unlabeled: 0.1765, losses_cls_ig_unlabeled: 0.1500, pseudo_num: 1.8052, pseudo_num_ig: 6.1513, pseudo_num_mining: 0.6105, pseudo_num(acc): 0.7034, pseudo_num ig(acc): 0.3739, loss: 1.0361
2021-11-06 15:58:28,336 - mmdet - INFO - Iter [11100/40000]	lr: 2.000e-02, eta: 15:22:42, time: 1.693, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0407, loss_cls: 0.1051, acc: 95.8838, loss_bbox: 0.1987, loss_rpn_cls_unlabeled: 0.0904, loss_rpn_bbox_unlabeled: 0.0994, loss_cls_unlabeled: 0.1642, acc_unlabeled: 91.6101, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1498, pseudo_num: 1.8040, pseudo_num_ig: 6.1502, pseudo_num_mining: 0.6115, pseudo_num(acc): 0.7038, pseudo_num ig(acc): 0.3740, loss: 1.0449
2021-11-06 15:59:52,057 - mmdet - INFO - Iter [11150/40000]	lr: 2.000e-02, eta: 15:20:35, time: 1.676, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0396, loss_cls: 0.0978, acc: 96.1910, loss_bbox: 0.1868, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0994, loss_cls_unlabeled: 0.1638, acc_unlabeled: 91.6527, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1460, pseudo_num: 1.8029, pseudo_num_ig: 6.1488, pseudo_num_mining: 0.6125, pseudo_num(acc): 0.7043, pseudo_num ig(acc): 0.3742, loss: 1.0185
2021-11-06 16:01:16,459 - mmdet - INFO - Iter [11200/40000]	lr: 2.000e-02, eta: 15:18:30, time: 1.689, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0405, loss_cls: 0.1046, acc: 95.8972, loss_bbox: 0.1962, loss_rpn_cls_unlabeled: 0.0950, loss_rpn_bbox_unlabeled: 0.1026, loss_cls_unlabeled: 0.1723, acc_unlabeled: 91.5203, loss_bbox_unlabeled: 0.1860, losses_cls_ig_unlabeled: 0.1478, pseudo_num: 1.8020, pseudo_num_ig: 6.1473, pseudo_num_mining: 0.6135, pseudo_num(acc): 0.7048, pseudo_num ig(acc): 0.3743, loss: 1.0601
2021-11-06 16:02:42,495 - mmdet - INFO - Iter [11250/40000]	lr: 2.000e-02, eta: 15:16:30, time: 1.720, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0390, loss_cls: 0.1034, acc: 95.9371, loss_bbox: 0.1939, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1703, acc_unlabeled: 91.5649, loss_bbox_unlabeled: 0.1796, losses_cls_ig_unlabeled: 0.1491, pseudo_num: 1.8009, pseudo_num_ig: 6.1463, pseudo_num_mining: 0.6147, pseudo_num(acc): 0.7053, pseudo_num ig(acc): 0.3745, loss: 1.0329
2021-11-06 16:04:08,049 - mmdet - INFO - Iter [11300/40000]	lr: 2.000e-02, eta: 15:14:29, time: 1.713, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0388, loss_cls: 0.1014, acc: 96.0560, loss_bbox: 0.1884, loss_rpn_cls_unlabeled: 0.0915, loss_rpn_bbox_unlabeled: 0.1002, loss_cls_unlabeled: 0.1641, acc_unlabeled: 91.4276, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1535, pseudo_num: 1.7998, pseudo_num_ig: 6.1456, pseudo_num_mining: 0.6157, pseudo_num(acc): 0.7057, pseudo_num ig(acc): 0.3746, loss: 1.0284
2021-11-06 16:05:32,140 - mmdet - INFO - Iter [11350/40000]	lr: 2.000e-02, eta: 15:12:24, time: 1.681, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0391, loss_cls: 0.1018, acc: 96.0051, loss_bbox: 0.1935, loss_rpn_cls_unlabeled: 0.0923, loss_rpn_bbox_unlabeled: 0.0962, loss_cls_unlabeled: 0.1612, acc_unlabeled: 91.7777, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1470, pseudo_num: 1.7986, pseudo_num_ig: 6.1447, pseudo_num_mining: 0.6166, pseudo_num(acc): 0.7062, pseudo_num ig(acc): 0.3748, loss: 1.0205
2021-11-06 16:06:57,908 - mmdet - INFO - Iter [11400/40000]	lr: 2.000e-02, eta: 15:10:23, time: 1.712, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0400, loss_cls: 0.1014, acc: 96.0143, loss_bbox: 0.1940, loss_rpn_cls_unlabeled: 0.0921, loss_rpn_bbox_unlabeled: 0.1013, loss_cls_unlabeled: 0.1660, acc_unlabeled: 91.5327, loss_bbox_unlabeled: 0.1751, losses_cls_ig_unlabeled: 0.1495, pseudo_num: 1.7975, pseudo_num_ig: 6.1441, pseudo_num_mining: 0.6177, pseudo_num(acc): 0.7066, pseudo_num ig(acc): 0.3749, loss: 1.0348
2021-11-06 16:08:23,345 - mmdet - INFO - Iter [11450/40000]	lr: 2.000e-02, eta: 15:08:23, time: 1.712, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0401, loss_cls: 0.1011, acc: 96.0140, loss_bbox: 0.1880, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1563, acc_unlabeled: 91.7382, loss_bbox_unlabeled: 0.1688, losses_cls_ig_unlabeled: 0.1499, pseudo_num: 1.7964, pseudo_num_ig: 6.1426, pseudo_num_mining: 0.6185, pseudo_num(acc): 0.7070, pseudo_num ig(acc): 0.3750, loss: 1.0001
2021-11-06 16:09:46,924 - mmdet - INFO - pseudo pos: 0.98(21880.0-person) 0.87(623.0-bicycle) 0.92(3349.0-car) 0.97(655.0-motorcycle) 0.98(306.0-airplane) 0.99(483.0-bus) 0.97(456.0-train) 0.68(796.0-truck) 0.65(913.0-boat) 0.86(1205.0-traffic light) 0.99(198.0-fire hydrant) 0.98(163.0-stop sign) 0.65(172.0-parking meter) 0.57(785.0-bench) 0.90(644.0-bird) 0.94(436.0-cat) 0.92(425.0-dog) 0.94(588.0-horse) 0.95(418.0-sheep) 0.79(882.0-cow) 0.99(298.0-elephant) 1.00(119.0-bear) 0.99(607.0-zebra) 0.99(587.0-giraffe) 0.39(747.0-backpack) 0.78(1002.0-umbrella) 0.39(1186.0-handbag) 0.82(525.0-tie) 0.65(564.0-suitcase) 0.92(205.0-frisbee) 0.50(577.0-skis) 0.12(662.0-snowboard) 0.95(484.0-sports ball) 0.75(818.0-kite) 0.78(269.0-baseball bat) 0.75(390.0-baseball glove) 0.94(426.0-skateboard) 0.79(490.0-surfboard) 0.94(276.0-tennis racket) 0.81(1740.0-bottle) 0.90(530.0-wine glass) 0.79(1884.0-cup) 0.32(354.0-fork) 0.27(867.0-knife) 0.24(634.0-spoon) 0.71(1728.0-bowl) 0.59(770.0-banana) 0.28(986.0-apple) 0.30(1304.0-sandwich) 0.29(556.0-orange) 0.67(541.0-broccoli) 0.44(702.0-carrot) 0.02(6624.0-hot dog) 0.94(515.0-pizza) 0.60(735.0-donut) 0.48(595.0-cake) 0.58(4270.0-chair) 0.69(538.0-couch) 0.64(839.0-potted plant) 0.86(388.0-bed) 0.67(1777.0-dining table) 0.91(339.0-toilet) 0.93(548.0-tv) 0.96(418.0-laptop) 0.95(122.0-mouse) 0.54(378.0-remote) 0.76(273.0-keyboard) 0.61(623.0-cell phone) 0.94(162.0-microwave) 0.70(412.0-oven) 0.00(6.0-toaster) 0.78(558.0-sink) 0.84(238.0-refrigerator) 0.23(1987.0-book) 0.96(422.0-clock) 0.82(468.0-vase) 0.51(134.0-scissors) 0.92(222.0-teddy bear) 0.00(0.0-hair drier) 0.18(275.0-toothbrush)
2021-11-06 16:09:46,924 - mmdet - INFO - pseudo ig: 0.57(81689.0-person) 0.29(2255.0-bicycle) 0.44(13311.0-car) 0.49(2553.0-motorcycle) 0.69(964.0-airplane) 0.58(1842.0-bus) 0.49(1508.0-train) 0.29(2985.0-truck) 0.28(3695.0-boat) 0.26(5087.0-traffic light) 0.53(599.0-fire hydrant) 0.46(714.0-stop sign) 0.19(488.0-parking meter) 0.17(3052.0-bench) 0.32(2091.0-bird) 0.67(1522.0-cat) 0.61(1377.0-dog) 0.49(2097.0-horse) 0.66(1676.0-sheep) 0.30(3441.0-cow) 0.80(1335.0-elephant) 0.56(432.0-bear) 0.49(2292.0-zebra) 0.68(1940.0-giraffe) 0.18(2790.0-backpack) 0.33(3547.0-umbrella) 0.12(4629.0-handbag) 0.26(2185.0-tie) 0.19(2130.0-suitcase) 0.38(928.0-frisbee) 0.25(2175.0-skis) 0.13(999.0-snowboard) 0.35(2013.0-sports ball) 0.30(3046.0-kite) 0.26(1009.0-baseball bat) 0.22(1554.0-baseball glove) 0.39(1578.0-skateboard) 0.34(1897.0-surfboard) 0.63(1190.0-tennis racket) 0.32(7697.0-bottle) 0.33(1966.0-wine glass) 0.27(8035.0-cup) 0.19(1290.0-fork) 0.11(3211.0-knife) 0.08(2529.0-spoon) 0.25(6752.0-bowl) 0.21(3247.0-banana) 0.12(2832.0-apple) 0.14(2094.0-sandwich) 0.24(1248.0-orange) 0.31(2487.0-broccoli) 0.15(2971.0-carrot) 0.03(717.0-hot dog) 0.46(1857.0-pizza) 0.21(2761.0-donut) 0.19(1992.0-cake) 0.19(17223.0-chair) 0.29(1858.0-couch) 0.25(3412.0-potted plant) 0.40(1403.0-bed) 0.28(5319.0-dining table) 0.57(1392.0-toilet) 0.45(1901.0-tv) 0.48(1377.0-laptop) 0.52(444.0-mouse) 0.19(1677.0-remote) 0.42(931.0-keyboard) 0.20(2461.0-cell phone) 0.34(607.0-microwave) 0.21(1346.0-oven) 0.00(1.0-toaster) 0.35(2002.0-sink) 0.30(872.0-refrigerator) 0.12(8161.0-book) 0.58(1790.0-clock) 0.34(1767.0-vase) 0.23(520.0-scissors) 0.59(891.0-teddy bear) 0.00(0.0-hair drier) 0.05(870.0-toothbrush)
2021-11-06 16:09:46,926 - mmdet - INFO - pseudo gt: 100680.0 2677.0 16839.0 3532.0 2081.0 2478.0 1764.0 3843.0 4110.0 5042.0 781.0 759.0 476.0 4016.0 4030.0 1944.0 2137.0 2719.0 3763.0 3141.0 2169.0 492.0 2086.0 2148.0 3559.0 4443.0 5007.0 2479.0 2372.0 997.0 2445.0 1038.0 2601.0 3426.0 1325.0 1397.0 2127.0 2319.0 1932.0 9126.0 2861.0 7793.0 2057.0 2947.0 2308.0 5308.0 3599.0 2339.0 1632.0 2340.0 2848.0 3080.0 1165.0 2441.0 2338.0 2349.0 14991.0 2227.0 3371.0 1696.0 6108.0 1675.0 2316.0 2027.0 931.0 2204.0 1162.0 2504.0 620.0 1236.0 77.0 2230.0 996.0 9750.0 2379.0 2450.0 601.0 1852.0 78.0 838.0
2021-11-06 16:09:46,926 - mmdet - INFO - pseudo mining: 14968.0 43.0 1717.0 161.0 145.0 239.0 134.0 54.0 128.0 421.0 126.0 356.0 2.0 9.0 51.0 197.0 89.0 190.0 476.0 104.0 480.0 76.0 445.0 579.0 18.0 271.0 7.0 77.0 9.0 140.0 25.0 6.0 468.0 545.0 76.0 148.0 83.0 49.0 421.0 532.0 50.0 373.0 4.0 15.0 3.0 318.0 63.0 45.0 35.0 195.0 167.0 67.0 1.0 112.0 84.0 15.0 46.0 10.0 144.0 14.0 78.0 402.0 331.0 152.0 138.0 21.0 87.0 66.0 55.0 16.0 0.0 180.0 15.0 46.0 949.0 30.0 5.0 154.0 0.0 0.0
2021-11-06 16:09:48,347 - mmdet - INFO - Iter [11500/40000]	lr: 2.000e-02, eta: 15:06:22, time: 1.697, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0401, loss_cls: 0.1008, acc: 96.0670, loss_bbox: 0.1894, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1610, acc_unlabeled: 91.6105, loss_bbox_unlabeled: 0.1724, losses_cls_ig_unlabeled: 0.1459, pseudo_num: 1.7954, pseudo_num_ig: 6.1412, pseudo_num_mining: 0.6193, pseudo_num(acc): 0.7075, pseudo_num ig(acc): 0.3751, loss: 1.0089
2021-11-06 16:11:14,311 - mmdet - INFO - Iter [11550/40000]	lr: 2.000e-02, eta: 15:04:23, time: 1.722, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0395, loss_cls: 0.1048, acc: 95.8971, loss_bbox: 0.1984, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1640, acc_unlabeled: 91.4624, loss_bbox_unlabeled: 0.1789, losses_cls_ig_unlabeled: 0.1493, pseudo_num: 1.7944, pseudo_num_ig: 6.1393, pseudo_num_mining: 0.6200, pseudo_num(acc): 0.7079, pseudo_num ig(acc): 0.3752, loss: 1.0311
2021-11-06 16:12:38,284 - mmdet - INFO - Iter [11600/40000]	lr: 2.000e-02, eta: 15:02:20, time: 1.679, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0394, loss_cls: 0.1053, acc: 95.8732, loss_bbox: 0.1937, loss_rpn_cls_unlabeled: 0.0932, loss_rpn_bbox_unlabeled: 0.0993, loss_cls_unlabeled: 0.1673, acc_unlabeled: 91.5103, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1523, pseudo_num: 1.7933, pseudo_num_ig: 6.1375, pseudo_num_mining: 0.6207, pseudo_num(acc): 0.7084, pseudo_num ig(acc): 0.3754, loss: 1.0416
2021-11-06 16:14:02,035 - mmdet - INFO - Iter [11650/40000]	lr: 2.000e-02, eta: 15:00:17, time: 1.675, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0404, loss_cls: 0.1010, acc: 96.0552, loss_bbox: 0.1915, loss_rpn_cls_unlabeled: 0.0929, loss_rpn_bbox_unlabeled: 0.1034, loss_cls_unlabeled: 0.1697, acc_unlabeled: 91.1613, loss_bbox_unlabeled: 0.1781, losses_cls_ig_unlabeled: 0.1581, pseudo_num: 1.7924, pseudo_num_ig: 6.1367, pseudo_num_mining: 0.6216, pseudo_num(acc): 0.7088, pseudo_num ig(acc): 0.3755, loss: 1.0508
2021-11-06 16:15:27,185 - mmdet - INFO - Iter [11700/40000]	lr: 2.000e-02, eta: 14:58:17, time: 1.701, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0409, loss_cls: 0.1009, acc: 96.0431, loss_bbox: 0.1881, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1651, acc_unlabeled: 91.5114, loss_bbox_unlabeled: 0.1758, losses_cls_ig_unlabeled: 0.1520, pseudo_num: 1.7914, pseudo_num_ig: 6.1357, pseudo_num_mining: 0.6225, pseudo_num(acc): 0.7092, pseudo_num ig(acc): 0.3756, loss: 1.0293
2021-11-06 16:16:51,943 - mmdet - INFO - Iter [11750/40000]	lr: 2.000e-02, eta: 14:56:16, time: 1.695, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0392, loss_cls: 0.1004, acc: 96.0658, loss_bbox: 0.1901, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.1032, loss_cls_unlabeled: 0.1631, acc_unlabeled: 91.4172, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1517, pseudo_num: 1.7904, pseudo_num_ig: 6.1348, pseudo_num_mining: 0.6233, pseudo_num(acc): 0.7096, pseudo_num ig(acc): 0.3757, loss: 1.0247
2021-11-06 16:18:18,044 - mmdet - INFO - Iter [11800/40000]	lr: 2.000e-02, eta: 14:54:20, time: 1.724, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0410, loss_cls: 0.1047, acc: 95.9027, loss_bbox: 0.1934, loss_rpn_cls_unlabeled: 0.0916, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1759, acc_unlabeled: 91.3433, loss_bbox_unlabeled: 0.1845, losses_cls_ig_unlabeled: 0.1501, pseudo_num: 1.7896, pseudo_num_ig: 6.1341, pseudo_num_mining: 0.6240, pseudo_num(acc): 0.7101, pseudo_num ig(acc): 0.3757, loss: 1.0548
2021-11-06 16:19:42,518 - mmdet - INFO - Iter [11850/40000]	lr: 2.000e-02, eta: 14:52:19, time: 1.687, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0393, loss_cls: 0.0995, acc: 96.1017, loss_bbox: 0.1874, loss_rpn_cls_unlabeled: 0.0907, loss_rpn_bbox_unlabeled: 0.0997, loss_cls_unlabeled: 0.1691, acc_unlabeled: 91.3600, loss_bbox_unlabeled: 0.1784, losses_cls_ig_unlabeled: 0.1533, pseudo_num: 1.7888, pseudo_num_ig: 6.1334, pseudo_num_mining: 0.6250, pseudo_num(acc): 0.7105, pseudo_num ig(acc): 0.3758, loss: 1.0318
2021-11-06 16:21:06,964 - mmdet - INFO - Iter [11900/40000]	lr: 2.000e-02, eta: 14:50:19, time: 1.689, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0392, loss_cls: 0.0961, acc: 96.2275, loss_bbox: 0.1862, loss_rpn_cls_unlabeled: 0.0918, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.1610, acc_unlabeled: 91.6263, loss_bbox_unlabeled: 0.1704, losses_cls_ig_unlabeled: 0.1494, pseudo_num: 1.7878, pseudo_num_ig: 6.1326, pseudo_num_mining: 0.6258, pseudo_num(acc): 0.7110, pseudo_num ig(acc): 0.3759, loss: 1.0085
2021-11-06 16:22:30,896 - mmdet - INFO - Iter [11950/40000]	lr: 2.000e-02, eta: 14:48:18, time: 1.679, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0397, loss_cls: 0.1008, acc: 96.0371, loss_bbox: 0.1913, loss_rpn_cls_unlabeled: 0.0909, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1697, acc_unlabeled: 91.7053, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1451, pseudo_num: 1.7869, pseudo_num_ig: 6.1312, pseudo_num_mining: 0.6267, pseudo_num(acc): 0.7114, pseudo_num ig(acc): 0.3760, loss: 1.0238
2021-11-06 16:23:54,207 - mmdet - INFO - pseudo pos: 0.98(22907.0-person) 0.86(644.0-bicycle) 0.92(3482.0-car) 0.97(678.0-motorcycle) 0.98(312.0-airplane) 0.99(507.0-bus) 0.97(472.0-train) 0.69(832.0-truck) 0.64(960.0-boat) 0.86(1245.0-traffic light) 0.99(204.0-fire hydrant) 0.98(166.0-stop sign) 0.65(176.0-parking meter) 0.57(813.0-bench) 0.90(694.0-bird) 0.94(448.0-cat) 0.93(443.0-dog) 0.94(611.0-horse) 0.96(436.0-sheep) 0.79(919.0-cow) 0.99(310.0-elephant) 1.00(126.0-bear) 0.99(628.0-zebra) 1.00(615.0-giraffe) 0.39(778.0-backpack) 0.78(1032.0-umbrella) 0.38(1218.0-handbag) 0.82(551.0-tie) 0.65(598.0-suitcase) 0.92(213.0-frisbee) 0.51(594.0-skis) 0.13(666.0-snowboard) 0.96(507.0-sports ball) 0.75(853.0-kite) 0.79(288.0-baseball bat) 0.75(413.0-baseball glove) 0.94(448.0-skateboard) 0.80(515.0-surfboard) 0.94(287.0-tennis racket) 0.81(1815.0-bottle) 0.90(555.0-wine glass) 0.80(1994.0-cup) 0.32(367.0-fork) 0.27(896.0-knife) 0.24(645.0-spoon) 0.70(1791.0-bowl) 0.59(787.0-banana) 0.28(1015.0-apple) 0.30(1326.0-sandwich) 0.30(565.0-orange) 0.67(555.0-broccoli) 0.43(734.0-carrot) 0.02(6643.0-hot dog) 0.94(531.0-pizza) 0.61(780.0-donut) 0.48(629.0-cake) 0.59(4445.0-chair) 0.70(568.0-couch) 0.65(884.0-potted plant) 0.87(403.0-bed) 0.67(1844.0-dining table) 0.91(351.0-toilet) 0.93(576.0-tv) 0.96(438.0-laptop) 0.95(130.0-mouse) 0.54(394.0-remote) 0.76(282.0-keyboard) 0.60(670.0-cell phone) 0.94(167.0-microwave) 0.71(432.0-oven) 0.00(10.0-toaster) 0.78(578.0-sink) 0.85(248.0-refrigerator) 0.23(2072.0-book) 0.96(437.0-clock) 0.83(492.0-vase) 0.51(134.0-scissors) 0.92(229.0-teddy bear) 0.00(0.0-hair drier) 0.18(283.0-toothbrush)
2021-11-06 16:23:54,208 - mmdet - INFO - pseudo ig: 0.57(85357.0-person) 0.30(2340.0-bicycle) 0.44(13809.0-car) 0.49(2644.0-motorcycle) 0.69(999.0-airplane) 0.58(1937.0-bus) 0.50(1565.0-train) 0.30(3116.0-truck) 0.27(3868.0-boat) 0.26(5293.0-traffic light) 0.53(624.0-fire hydrant) 0.46(738.0-stop sign) 0.19(500.0-parking meter) 0.18(3156.0-bench) 0.31(2262.0-bird) 0.67(1581.0-cat) 0.61(1456.0-dog) 0.50(2195.0-horse) 0.66(1769.0-sheep) 0.30(3572.0-cow) 0.80(1378.0-elephant) 0.56(451.0-bear) 0.49(2397.0-zebra) 0.67(2038.0-giraffe) 0.18(2910.0-backpack) 0.33(3682.0-umbrella) 0.12(4789.0-handbag) 0.26(2272.0-tie) 0.19(2226.0-suitcase) 0.38(973.0-frisbee) 0.25(2246.0-skis) 0.13(1027.0-snowboard) 0.34(2105.0-sports ball) 0.31(3176.0-kite) 0.26(1066.0-baseball bat) 0.22(1615.0-baseball glove) 0.40(1638.0-skateboard) 0.34(1958.0-surfboard) 0.63(1254.0-tennis racket) 0.32(8056.0-bottle) 0.33(2036.0-wine glass) 0.27(8335.0-cup) 0.19(1347.0-fork) 0.11(3342.0-knife) 0.08(2612.0-spoon) 0.25(7040.0-bowl) 0.22(3327.0-banana) 0.12(2924.0-apple) 0.15(2134.0-sandwich) 0.25(1305.0-orange) 0.31(2553.0-broccoli) 0.15(3068.0-carrot) 0.03(746.0-hot dog) 0.47(1930.0-pizza) 0.21(2872.0-donut) 0.19(2066.0-cake) 0.19(17958.0-chair) 0.29(1939.0-couch) 0.25(3543.0-potted plant) 0.40(1451.0-bed) 0.28(5545.0-dining table) 0.57(1452.0-toilet) 0.45(1991.0-tv) 0.48(1444.0-laptop) 0.52(466.0-mouse) 0.19(1739.0-remote) 0.41(968.0-keyboard) 0.20(2582.0-cell phone) 0.35(623.0-microwave) 0.21(1398.0-oven) 0.00(1.0-toaster) 0.35(2077.0-sink) 0.31(902.0-refrigerator) 0.12(8482.0-book) 0.57(1856.0-clock) 0.34(1871.0-vase) 0.23(528.0-scissors) 0.60(911.0-teddy bear) 0.00(0.0-hair drier) 0.05(902.0-toothbrush)
2021-11-06 16:23:54,208 - mmdet - INFO - pseudo gt: 105130.0 2798.0 17472.0 3664.0 2154.0 2606.0 1841.0 4009.0 4257.0 5232.0 805.0 789.0 508.0 4178.0 4224.0 2019.0 2231.0 2831.0 3927.0 3252.0 2253.0 515.0 2163.0 2247.0 3668.0 4595.0 5140.0 2583.0 2485.0 1066.0 2508.0 1072.0 2698.0 3565.0 1380.0 1466.0 2237.0 2427.0 2034.0 9565.0 2988.0 8186.0 2198.0 3084.0 2397.0 5526.0 3749.0 2417.0 1692.0 2471.0 2928.0 3165.0 1208.0 2540.0 2433.0 2448.0 15757.0 2332.0 3515.0 1759.0 6407.0 1759.0 2426.0 2130.0 972.0 2286.0 1193.0 2630.0 645.0 1290.0 80.0 2313.0 1054.0 10197.0 2456.0 2580.0 605.0 1890.0 80.0 878.0
2021-11-06 16:23:54,208 - mmdet - INFO - pseudo mining: 15747.0 48.0 1837.0 169.0 158.0 265.0 141.0 57.0 136.0 443.0 133.0 370.0 2.0 9.0 56.0 215.0 96.0 208.0 520.0 108.0 502.0 79.0 464.0 616.0 19.0 286.0 10.0 82.0 10.0 149.0 25.0 6.0 490.0 573.0 82.0 153.0 89.0 53.0 452.0 589.0 53.0 405.0 4.0 17.0 4.0 335.0 66.0 47.0 35.0 209.0 172.0 67.0 1.0 121.0 88.0 18.0 55.0 10.0 155.0 14.0 82.0 422.0 350.0 159.0 146.0 21.0 94.0 73.0 60.0 17.0 0.0 196.0 15.0 52.0 986.0 34.0 5.0 163.0 0.0 0.0
2021-11-06 16:24:48,746 - mmdet - INFO - Evaluating bbox...
2021-11-06 16:25:54,480 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.366 | bicycle      | 0.170 | car            | 0.278 |
| motorcycle    | 0.230 | airplane     | 0.297 | bus            | 0.430 |
| train         | 0.324 | truck        | 0.126 | boat           | 0.114 |
| traffic light | 0.186 | fire hydrant | 0.444 | stop sign      | 0.460 |
| parking meter | 0.309 | bench        | 0.109 | bird           | 0.153 |
| cat           | 0.379 | dog          | 0.334 | horse          | 0.352 |
| sheep         | 0.255 | cow          | 0.290 | elephant       | 0.372 |
| bear          | 0.430 | zebra        | 0.390 | giraffe        | 0.465 |
| backpack      | 0.048 | umbrella     | 0.160 | handbag        | 0.044 |
| tie           | 0.172 | suitcase     | 0.089 | frisbee        | 0.363 |
| skis          | 0.060 | snowboard    | 0.034 | sports ball    | 0.283 |
| kite          | 0.200 | baseball bat | 0.109 | baseball glove | 0.213 |
| skateboard    | 0.231 | surfboard    | 0.139 | tennis racket  | 0.249 |
| bottle        | 0.217 | wine glass   | 0.172 | cup            | 0.253 |
| fork          | 0.033 | knife        | 0.026 | spoon          | 0.029 |
| bowl          | 0.257 | banana       | 0.074 | apple          | 0.075 |
| sandwich      | 0.142 | orange       | 0.160 | broccoli       | 0.131 |
| carrot        | 0.048 | hot dog      | 0.024 | pizza          | 0.318 |
| donut         | 0.206 | cake         | 0.092 | chair          | 0.107 |
| couch         | 0.213 | potted plant | 0.119 | bed            | 0.265 |
| dining table  | 0.134 | toilet       | 0.356 | tv             | 0.360 |
| laptop        | 0.363 | mouse        | 0.378 | remote         | 0.060 |
| keyboard      | 0.250 | cell phone   | 0.162 | microwave      | 0.290 |
| oven          | 0.155 | toaster      | 0.016 | sink           | 0.166 |
| refrigerator  | 0.312 | book         | 0.017 | clock          | 0.383 |
| vase          | 0.183 | scissors     | 0.064 | teddy bear     | 0.224 |
| hair drier    | 0.000 | toothbrush   | 0.042 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 16:26:48,115 - mmdet - INFO - Evaluating bbox...
2021-11-06 16:27:54,911 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.395 | bicycle      | 0.177 | car            | 0.303 |
| motorcycle    | 0.250 | airplane     | 0.334 | bus            | 0.463 |
| train         | 0.385 | truck        | 0.139 | boat           | 0.125 |
| traffic light | 0.198 | fire hydrant | 0.450 | stop sign      | 0.457 |
| parking meter | 0.337 | bench        | 0.115 | bird           | 0.169 |
| cat           | 0.414 | dog          | 0.368 | horse          | 0.374 |
| sheep         | 0.291 | cow          | 0.317 | elephant       | 0.417 |
| bear          | 0.489 | zebra        | 0.448 | giraffe        | 0.494 |
| backpack      | 0.054 | umbrella     | 0.181 | handbag        | 0.051 |
| tie           | 0.180 | suitcase     | 0.102 | frisbee        | 0.379 |
| skis          | 0.063 | snowboard    | 0.054 | sports ball    | 0.317 |
| kite          | 0.221 | baseball bat | 0.113 | baseball glove | 0.238 |
| skateboard    | 0.256 | surfboard    | 0.169 | tennis racket  | 0.266 |
| bottle        | 0.236 | wine glass   | 0.192 | cup            | 0.269 |
| fork          | 0.033 | knife        | 0.032 | spoon          | 0.027 |
| bowl          | 0.270 | banana       | 0.088 | apple          | 0.086 |
| sandwich      | 0.181 | orange       | 0.157 | broccoli       | 0.137 |
| carrot        | 0.061 | hot dog      | 0.024 | pizza          | 0.346 |
| donut         | 0.229 | cake         | 0.102 | chair          | 0.112 |
| couch         | 0.219 | potted plant | 0.120 | bed            | 0.272 |
| dining table  | 0.133 | toilet       | 0.380 | tv             | 0.390 |
| laptop        | 0.367 | mouse        | 0.418 | remote         | 0.068 |
| keyboard      | 0.265 | cell phone   | 0.187 | microwave      | 0.322 |
| oven          | 0.166 | toaster      | 0.033 | sink           | 0.185 |
| refrigerator  | 0.333 | book         | 0.026 | clock          | 0.385 |
| vase          | 0.198 | scissors     | 0.091 | teddy bear     | 0.256 |
| hair drier    | 0.000 | toothbrush   | 0.048 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 16:29:18,662 - mmdet - INFO - current percent: 0.2
2021-11-06 16:29:18,662 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (0.99-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.95-truck) (0.98-boat) (0.97-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.91-parking meter) (0.94-bench) (0.99-bird) (0.99-cat) (0.99-dog) (0.99-horse) (0.99-sheep) (0.97-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.93-backpack) (0.99-umbrella) (0.84-handbag) (0.99-tie) (0.90-suitcase) (0.99-frisbee) (0.95-skis) (0.77-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.98-bottle) (0.99-wine glass) (0.98-cup) (0.90-fork) (0.91-knife) (0.84-spoon) (0.98-bowl) (0.91-banana) (0.88-apple) (0.96-sandwich) (0.99-orange) (0.98-broccoli) (0.92-carrot) (0.79-hot dog) (0.99-pizza) (0.96-donut) (0.98-cake) (0.94-chair) (0.98-couch) (0.97-potted plant) (0.99-bed) (0.98-dining table) (1.00-toilet) (0.99-tv) (1.00-laptop) (1.00-mouse) (0.86-remote) (1.00-keyboard) (0.97-cell phone) (0.97-microwave) (0.99-oven) (0.67-toaster) (1.00-sink) (0.98-refrigerator) (0.91-book) (1.00-clock) (0.97-vase) (0.84-scissors) (1.00-teddy bear) (0.05-hair drier) (0.79-toothbrush)
2021-11-06 16:29:18,662 - mmdet - INFO - update score thr (ignore): (0.20-person) (0.16-bicycle) (0.33-car) (0.21-motorcycle) (0.60-airplane) (0.44-bus) (0.38-train) (0.29-truck) (0.24-boat) (0.22-traffic light) (0.61-fire hydrant) (0.85-stop sign) (0.10-parking meter) (0.24-bench) (0.12-bird) (0.43-cat) (0.46-dog) (0.29-horse) (0.82-sheep) (0.34-cow) (0.67-elephant) (0.44-bear) (0.10-zebra) (0.19-giraffe) (0.36-backpack) (0.16-umbrella) (0.19-handbag) (0.17-tie) (0.19-suitcase) (0.49-frisbee) (0.34-skis) (0.28-snowboard) (0.22-sports ball) (0.41-kite) (0.37-baseball bat) (0.44-baseball glove) (0.25-skateboard) (0.40-surfboard) (0.66-tennis racket) (0.31-bottle) (0.14-wine glass) (0.24-cup) (0.11-fork) (0.31-knife) (0.18-spoon) (0.32-bowl) (0.17-banana) (0.20-apple) (0.44-sandwich) (0.80-orange) (0.42-broccoli) (0.40-carrot) (0.58-hot dog) (0.30-pizza) (0.37-donut) (0.28-cake) (0.18-chair) (0.41-couch) (0.34-potted plant) (0.36-bed) (0.31-dining table) (0.67-toilet) (0.51-tv) (0.35-laptop) (0.64-mouse) (0.17-remote) (0.48-keyboard) (0.46-cell phone) (0.39-microwave) (0.38-oven) (0.25-toaster) (0.43-sink) (0.36-refrigerator) (0.25-book) (0.42-clock) (0.24-vase) (0.12-scissors) (0.69-teddy bear) (0.05-hair drier) (0.17-toothbrush)
2021-11-06 16:29:18,981 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 16:29:18,981 - mmdet - INFO - Iter [12000/40000]	lr: 2.000e-02, eta: 14:46:19, time: 1.697, data_time: 0.027, memory: 26488, bbox_mAP: 0.2250, bbox_mAP_50: 0.4040, bbox_mAP_75: 0.2260, bbox_mAP_s: 0.1120, bbox_mAP_m: 0.2500, bbox_mAP_l: 0.2990, bbox_mAP_copypaste: 0.225 0.404 0.226 0.112 0.250 0.299, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0384, loss_cls: 0.0986, acc: 96.1500, loss_bbox: 0.1845, loss_rpn_cls_unlabeled: 0.0864, loss_rpn_bbox_unlabeled: 0.1011, loss_cls_unlabeled: 0.1631, acc_unlabeled: 91.5712, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1464, pseudo_num: 1.7861, pseudo_num_ig: 6.1295, pseudo_num_mining: 0.6275, pseudo_num(acc): 0.7118, pseudo_num ig(acc): 0.3761, loss: 1.0078
2021-11-06 16:30:43,053 - mmdet - INFO - Iter [12050/40000]	lr: 2.000e-02, eta: 14:56:48, time: 8.142, data_time: 6.493, memory: 26488, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0376, loss_cls: 0.0960, acc: 96.2269, loss_bbox: 0.1842, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.1032, loss_cls_unlabeled: 0.1694, acc_unlabeled: 91.2670, loss_bbox_unlabeled: 0.1811, losses_cls_ig_unlabeled: 0.1473, pseudo_num: 1.7849, pseudo_num_ig: 6.1288, pseudo_num_mining: 0.6285, pseudo_num(acc): 0.7122, pseudo_num ig(acc): 0.3762, loss: 1.0210
2021-11-06 16:32:06,716 - mmdet - INFO - Iter [12100/40000]	lr: 2.000e-02, eta: 14:54:43, time: 1.677, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0378, loss_cls: 0.0981, acc: 96.1621, loss_bbox: 0.1871, loss_rpn_cls_unlabeled: 0.0920, loss_rpn_bbox_unlabeled: 0.1007, loss_cls_unlabeled: 0.1651, acc_unlabeled: 91.2672, loss_bbox_unlabeled: 0.1750, losses_cls_ig_unlabeled: 0.1564, pseudo_num: 1.7841, pseudo_num_ig: 6.1303, pseudo_num_mining: 0.6297, pseudo_num(acc): 0.7126, pseudo_num ig(acc): 0.3763, loss: 1.0268
2021-11-06 16:33:34,241 - mmdet - INFO - Iter [12150/40000]	lr: 2.000e-02, eta: 14:52:47, time: 1.750, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0389, loss_cls: 0.0992, acc: 96.1033, loss_bbox: 0.1886, loss_rpn_cls_unlabeled: 0.0935, loss_rpn_bbox_unlabeled: 0.1041, loss_cls_unlabeled: 0.1648, acc_unlabeled: 91.6007, loss_bbox_unlabeled: 0.1767, losses_cls_ig_unlabeled: 0.1488, pseudo_num: 1.7831, pseudo_num_ig: 6.1301, pseudo_num_mining: 0.6306, pseudo_num(acc): 0.7130, pseudo_num ig(acc): 0.3764, loss: 1.0297
2021-11-06 16:35:00,789 - mmdet - INFO - Iter [12200/40000]	lr: 2.000e-02, eta: 14:50:49, time: 1.733, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0385, loss_cls: 0.0989, acc: 96.1174, loss_bbox: 0.1879, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1582, acc_unlabeled: 91.6344, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1437, pseudo_num: 1.7820, pseudo_num_ig: 6.1291, pseudo_num_mining: 0.6314, pseudo_num(acc): 0.7134, pseudo_num ig(acc): 0.3764, loss: 0.9967
2021-11-06 16:36:25,720 - mmdet - INFO - Iter [12250/40000]	lr: 2.000e-02, eta: 14:48:47, time: 1.697, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0404, loss_cls: 0.1004, acc: 96.0781, loss_bbox: 0.1899, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.1019, loss_cls_unlabeled: 0.1604, acc_unlabeled: 91.2390, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1528, pseudo_num: 1.7810, pseudo_num_ig: 6.1289, pseudo_num_mining: 0.6322, pseudo_num(acc): 0.7138, pseudo_num ig(acc): 0.3765, loss: 1.0215
2021-11-06 16:37:50,621 - mmdet - INFO - Iter [12300/40000]	lr: 2.000e-02, eta: 14:46:46, time: 1.697, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0395, loss_cls: 0.0992, acc: 96.1108, loss_bbox: 0.1890, loss_rpn_cls_unlabeled: 0.0938, loss_rpn_bbox_unlabeled: 0.1031, loss_cls_unlabeled: 0.1686, acc_unlabeled: 91.4155, loss_bbox_unlabeled: 0.1807, losses_cls_ig_unlabeled: 0.1506, pseudo_num: 1.7801, pseudo_num_ig: 6.1290, pseudo_num_mining: 0.6332, pseudo_num(acc): 0.7142, pseudo_num ig(acc): 0.3766, loss: 1.0397
2021-11-06 16:39:15,664 - mmdet - INFO - Iter [12350/40000]	lr: 2.000e-02, eta: 14:44:45, time: 1.701, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0383, loss_cls: 0.0989, acc: 96.1136, loss_bbox: 0.1881, loss_rpn_cls_unlabeled: 0.0897, loss_rpn_bbox_unlabeled: 0.0996, loss_cls_unlabeled: 0.1643, acc_unlabeled: 91.4791, loss_bbox_unlabeled: 0.1763, losses_cls_ig_unlabeled: 0.1438, pseudo_num: 1.7794, pseudo_num_ig: 6.1292, pseudo_num_mining: 0.6344, pseudo_num(acc): 0.7146, pseudo_num ig(acc): 0.3767, loss: 1.0141
2021-11-06 16:40:39,828 - mmdet - INFO - Iter [12400/40000]	lr: 2.000e-02, eta: 14:42:43, time: 1.686, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0372, loss_cls: 0.0938, acc: 96.3030, loss_bbox: 0.1805, loss_rpn_cls_unlabeled: 0.0940, loss_rpn_bbox_unlabeled: 0.1037, loss_cls_unlabeled: 0.1656, acc_unlabeled: 91.2822, loss_bbox_unlabeled: 0.1747, losses_cls_ig_unlabeled: 0.1525, pseudo_num: 1.7784, pseudo_num_ig: 6.1288, pseudo_num_mining: 0.6353, pseudo_num(acc): 0.7150, pseudo_num ig(acc): 0.3768, loss: 1.0158
2021-11-06 16:42:04,638 - mmdet - INFO - Iter [12450/40000]	lr: 2.000e-02, eta: 14:40:43, time: 1.696, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0394, loss_cls: 0.0984, acc: 96.1660, loss_bbox: 0.1884, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1645, acc_unlabeled: 91.5637, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1471, pseudo_num: 1.7775, pseudo_num_ig: 6.1283, pseudo_num_mining: 0.6360, pseudo_num(acc): 0.7154, pseudo_num ig(acc): 0.3769, loss: 1.0131
2021-11-06 16:43:28,147 - mmdet - INFO - pseudo pos: 0.98(23843.0-person) 0.87(670.0-bicycle) 0.92(3610.0-car) 0.97(700.0-motorcycle) 0.98(329.0-airplane) 0.99(520.0-bus) 0.97(492.0-train) 0.69(873.0-truck) 0.64(977.0-boat) 0.86(1309.0-traffic light) 0.99(209.0-fire hydrant) 0.97(172.0-stop sign) 0.66(180.0-parking meter) 0.58(854.0-bench) 0.90(728.0-bird) 0.94(465.0-cat) 0.93(453.0-dog) 0.94(627.0-horse) 0.96(451.0-sheep) 0.80(938.0-cow) 0.99(325.0-elephant) 1.00(130.0-bear) 0.99(652.0-zebra) 1.00(649.0-giraffe) 0.40(813.0-backpack) 0.78(1071.0-umbrella) 0.38(1255.0-handbag) 0.82(576.0-tie) 0.66(661.0-suitcase) 0.91(222.0-frisbee) 0.50(617.0-skis) 0.13(678.0-snowboard) 0.96(520.0-sports ball) 0.74(884.0-kite) 0.79(299.0-baseball bat) 0.76(430.0-baseball glove) 0.94(462.0-skateboard) 0.80(528.0-surfboard) 0.94(293.0-tennis racket) 0.81(1912.0-bottle) 0.90(563.0-wine glass) 0.79(2088.0-cup) 0.34(376.0-fork) 0.27(932.0-knife) 0.25(672.0-spoon) 0.71(1886.0-bowl) 0.59(821.0-banana) 0.28(1047.0-apple) 0.31(1348.0-sandwich) 0.31(569.0-orange) 0.67(584.0-broccoli) 0.43(754.0-carrot) 0.02(6649.0-hot dog) 0.94(556.0-pizza) 0.61(817.0-donut) 0.49(648.0-cake) 0.59(4571.0-chair) 0.70(593.0-couch) 0.64(926.0-potted plant) 0.87(422.0-bed) 0.67(1932.0-dining table) 0.91(364.0-toilet) 0.93(613.0-tv) 0.96(455.0-laptop) 0.95(134.0-mouse) 0.54(413.0-remote) 0.76(292.0-keyboard) 0.60(702.0-cell phone) 0.94(171.0-microwave) 0.71(442.0-oven) 0.00(10.0-toaster) 0.78(593.0-sink) 0.85(258.0-refrigerator) 0.23(2157.0-book) 0.96(450.0-clock) 0.83(519.0-vase) 0.52(141.0-scissors) 0.92(239.0-teddy bear) 0.00(0.0-hair drier) 0.18(289.0-toothbrush)
2021-11-06 16:43:28,147 - mmdet - INFO - pseudo ig: 0.57(89274.0-person) 0.30(2455.0-bicycle) 0.44(14398.0-car) 0.48(2749.0-motorcycle) 0.70(1029.0-airplane) 0.58(1986.0-bus) 0.50(1618.0-train) 0.30(3273.0-truck) 0.27(4000.0-boat) 0.26(5556.0-traffic light) 0.54(649.0-fire hydrant) 0.46(761.0-stop sign) 0.18(516.0-parking meter) 0.18(3299.0-bench) 0.31(2376.0-bird) 0.67(1658.0-cat) 0.61(1529.0-dog) 0.50(2261.0-horse) 0.66(1835.0-sheep) 0.30(3688.0-cow) 0.81(1437.0-elephant) 0.56(469.0-bear) 0.49(2490.0-zebra) 0.67(2088.0-giraffe) 0.18(3044.0-backpack) 0.33(3889.0-umbrella) 0.12(4993.0-handbag) 0.26(2372.0-tie) 0.20(2364.0-suitcase) 0.38(1011.0-frisbee) 0.26(2346.0-skis) 0.13(1061.0-snowboard) 0.34(2195.0-sports ball) 0.31(3310.0-kite) 0.26(1115.0-baseball bat) 0.23(1685.0-baseball glove) 0.40(1729.0-skateboard) 0.34(2020.0-surfboard) 0.64(1289.0-tennis racket) 0.32(8438.0-bottle) 0.33(2154.0-wine glass) 0.27(8723.0-cup) 0.20(1382.0-fork) 0.11(3487.0-knife) 0.09(2717.0-spoon) 0.25(7362.0-bowl) 0.22(3445.0-banana) 0.12(3015.0-apple) 0.15(2194.0-sandwich) 0.25(1324.0-orange) 0.31(2672.0-broccoli) 0.15(3165.0-carrot) 0.03(749.0-hot dog) 0.47(2048.0-pizza) 0.21(2989.0-donut) 0.20(2167.0-cake) 0.19(18627.0-chair) 0.29(2020.0-couch) 0.25(3695.0-potted plant) 0.41(1523.0-bed) 0.28(5787.0-dining table) 0.57(1495.0-toilet) 0.45(2060.0-tv) 0.48(1485.0-laptop) 0.52(487.0-mouse) 0.19(1804.0-remote) 0.42(1001.0-keyboard) 0.21(2685.0-cell phone) 0.36(645.0-microwave) 0.21(1450.0-oven) 0.00(2.0-toaster) 0.35(2146.0-sink) 0.31(929.0-refrigerator) 0.12(8813.0-book) 0.57(1958.0-clock) 0.35(1953.0-vase) 0.23(547.0-scissors) 0.60(944.0-teddy bear) 0.00(0.0-hair drier) 0.05(915.0-toothbrush)
2021-11-06 16:43:28,147 - mmdet - INFO - pseudo gt: 109519.0 2920.0 18180.0 3786.0 2240.0 2695.0 1910.0 4188.0 4424.0 5446.0 844.0 825.0 525.0 4333.0 4398.0 2107.0 2315.0 2929.0 4127.0 3330.0 2346.0 537.0 2247.0 2341.0 3830.0 4803.0 5344.0 2694.0 2647.0 1105.0 2671.0 1131.0 2800.0 3672.0 1442.0 1561.0 2341.0 2506.0 2110.0 9972.0 3114.0 8589.0 2286.0 3230.0 2500.0 5826.0 3905.0 2544.0 1782.0 2582.0 3097.0 3260.0 1244.0 2665.0 2540.0 2578.0 16375.0 2435.0 3678.0 1835.0 6676.0 1836.0 2526.0 2203.0 1009.0 2397.0 1227.0 2756.0 672.0 1336.0 86.0 2386.0 1091.0 10687.0 2568.0 2714.0 620.0 1962.0 83.0 904.0
2021-11-06 16:43:28,148 - mmdet - INFO - pseudo mining: 16649.0 51.0 1934.0 180.0 169.0 273.0 150.0 62.0 141.0 465.0 146.0 387.0 2.0 11.0 61.0 236.0 104.0 215.0 555.0 114.0 534.0 86.0 494.0 639.0 20.0 303.0 13.0 84.0 10.0 160.0 25.0 6.0 513.0 612.0 92.0 162.0 100.0 60.0 472.0 622.0 60.0 441.0 4.0 18.0 4.0 363.0 68.0 47.0 36.0 216.0 185.0 68.0 1.0 141.0 95.0 20.0 60.0 17.0 167.0 16.0 90.0 442.0 363.0 166.0 152.0 21.0 101.0 81.0 60.0 21.0 0.0 212.0 16.0 59.0 1041.0 35.0 5.0 169.0 0.0 0.0
2021-11-06 16:43:29,831 - mmdet - INFO - Iter [12500/40000]	lr: 2.000e-02, eta: 14:38:43, time: 1.700, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0411, loss_cls: 0.1024, acc: 96.0389, loss_bbox: 0.1914, loss_rpn_cls_unlabeled: 0.0949, loss_rpn_bbox_unlabeled: 0.1006, loss_cls_unlabeled: 0.1640, acc_unlabeled: 91.3646, loss_bbox_unlabeled: 0.1727, losses_cls_ig_unlabeled: 0.1528, pseudo_num: 1.7766, pseudo_num_ig: 6.1283, pseudo_num_mining: 0.6369, pseudo_num(acc): 0.7156, pseudo_num ig(acc): 0.3769, loss: 1.0352
2021-11-06 16:44:55,049 - mmdet - INFO - Iter [12550/40000]	lr: 2.000e-02, eta: 14:36:44, time: 1.706, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0398, loss_cls: 0.1004, acc: 96.0459, loss_bbox: 0.1898, loss_rpn_cls_unlabeled: 0.0924, loss_rpn_bbox_unlabeled: 0.1052, loss_cls_unlabeled: 0.1678, acc_unlabeled: 91.4431, loss_bbox_unlabeled: 0.1788, losses_cls_ig_unlabeled: 0.1474, pseudo_num: 1.7758, pseudo_num_ig: 6.1280, pseudo_num_mining: 0.6377, pseudo_num(acc): 0.7160, pseudo_num ig(acc): 0.3769, loss: 1.0367
2021-11-06 16:46:19,492 - mmdet - INFO - Iter [12600/40000]	lr: 2.000e-02, eta: 14:34:43, time: 1.691, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0401, loss_cls: 0.0961, acc: 96.2172, loss_bbox: 0.1872, loss_rpn_cls_unlabeled: 0.0948, loss_rpn_bbox_unlabeled: 0.1029, loss_cls_unlabeled: 0.1622, acc_unlabeled: 91.5044, loss_bbox_unlabeled: 0.1807, losses_cls_ig_unlabeled: 0.1450, pseudo_num: 1.7751, pseudo_num_ig: 6.1278, pseudo_num_mining: 0.6385, pseudo_num(acc): 0.7163, pseudo_num ig(acc): 0.3770, loss: 1.0238
2021-11-06 16:47:43,964 - mmdet - INFO - Iter [12650/40000]	lr: 2.000e-02, eta: 14:32:43, time: 1.690, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0392, loss_cls: 0.0990, acc: 96.1113, loss_bbox: 0.1859, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.1028, loss_cls_unlabeled: 0.1592, acc_unlabeled: 91.7292, loss_bbox_unlabeled: 0.1721, losses_cls_ig_unlabeled: 0.1472, pseudo_num: 1.7744, pseudo_num_ig: 6.1278, pseudo_num_mining: 0.6392, pseudo_num(acc): 0.7167, pseudo_num ig(acc): 0.3771, loss: 1.0096
2021-11-06 16:49:08,458 - mmdet - INFO - Iter [12700/40000]	lr: 2.000e-02, eta: 14:30:43, time: 1.689, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0397, loss_cls: 0.0993, acc: 96.0889, loss_bbox: 0.1893, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0994, loss_cls_unlabeled: 0.1584, acc_unlabeled: 91.3638, loss_bbox_unlabeled: 0.1773, losses_cls_ig_unlabeled: 0.1501, pseudo_num: 1.7735, pseudo_num_ig: 6.1266, pseudo_num_mining: 0.6399, pseudo_num(acc): 0.7170, pseudo_num ig(acc): 0.3771, loss: 1.0161
2021-11-06 16:50:34,099 - mmdet - INFO - Iter [12750/40000]	lr: 2.000e-02, eta: 14:28:46, time: 1.712, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0383, loss_cls: 0.0978, acc: 96.1398, loss_bbox: 0.1858, loss_rpn_cls_unlabeled: 0.0938, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1652, acc_unlabeled: 91.4653, loss_bbox_unlabeled: 0.1842, losses_cls_ig_unlabeled: 0.1486, pseudo_num: 1.7731, pseudo_num_ig: 6.1270, pseudo_num_mining: 0.6407, pseudo_num(acc): 0.7174, pseudo_num ig(acc): 0.3772, loss: 1.0285
2021-11-06 16:51:59,224 - mmdet - INFO - Iter [12800/40000]	lr: 2.000e-02, eta: 14:26:48, time: 1.703, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0389, loss_cls: 0.0985, acc: 96.1155, loss_bbox: 0.1883, loss_rpn_cls_unlabeled: 0.0894, loss_rpn_bbox_unlabeled: 0.1009, loss_cls_unlabeled: 0.1644, acc_unlabeled: 91.5231, loss_bbox_unlabeled: 0.1818, losses_cls_ig_unlabeled: 0.1475, pseudo_num: 1.7727, pseudo_num_ig: 6.1274, pseudo_num_mining: 0.6418, pseudo_num(acc): 0.7178, pseudo_num ig(acc): 0.3772, loss: 1.0239
2021-11-06 16:53:24,594 - mmdet - INFO - Iter [12850/40000]	lr: 2.000e-02, eta: 14:24:51, time: 1.706, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0389, loss_cls: 0.1007, acc: 96.0184, loss_bbox: 0.1924, loss_rpn_cls_unlabeled: 0.0961, loss_rpn_bbox_unlabeled: 0.1012, loss_cls_unlabeled: 0.1647, acc_unlabeled: 91.6790, loss_bbox_unlabeled: 0.1844, losses_cls_ig_unlabeled: 0.1442, pseudo_num: 1.7724, pseudo_num_ig: 6.1271, pseudo_num_mining: 0.6427, pseudo_num(acc): 0.7181, pseudo_num ig(acc): 0.3773, loss: 1.0379
2021-11-06 16:54:47,785 - mmdet - INFO - Iter [12900/40000]	lr: 2.000e-02, eta: 14:22:49, time: 1.663, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0383, loss_cls: 0.0984, acc: 96.1451, loss_bbox: 0.1868, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.1002, loss_cls_unlabeled: 0.1659, acc_unlabeled: 91.3113, loss_bbox_unlabeled: 0.1782, losses_cls_ig_unlabeled: 0.1509, pseudo_num: 1.7719, pseudo_num_ig: 6.1267, pseudo_num_mining: 0.6434, pseudo_num(acc): 0.7185, pseudo_num ig(acc): 0.3774, loss: 1.0243
2021-11-06 16:56:12,475 - mmdet - INFO - Iter [12950/40000]	lr: 2.000e-02, eta: 14:20:51, time: 1.689, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0383, loss_cls: 0.0990, acc: 96.0833, loss_bbox: 0.1907, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.1027, loss_cls_unlabeled: 0.1666, acc_unlabeled: 91.2399, loss_bbox_unlabeled: 0.1817, losses_cls_ig_unlabeled: 0.1498, pseudo_num: 1.7712, pseudo_num_ig: 6.1270, pseudo_num_mining: 0.6442, pseudo_num(acc): 0.7188, pseudo_num ig(acc): 0.3775, loss: 1.0346
2021-11-06 16:57:36,191 - mmdet - INFO - pseudo pos: 0.98(24867.0-person) 0.86(698.0-bicycle) 0.92(3764.0-car) 0.97(725.0-motorcycle) 0.98(340.0-airplane) 0.99(542.0-bus) 0.97(517.0-train) 0.69(901.0-truck) 0.65(1005.0-boat) 0.86(1373.0-traffic light) 0.99(213.0-fire hydrant) 0.97(177.0-stop sign) 0.66(184.0-parking meter) 0.58(883.0-bench) 0.90(758.0-bird) 0.95(483.0-cat) 0.93(464.0-dog) 0.94(654.0-horse) 0.95(473.0-sheep) 0.80(966.0-cow) 0.99(341.0-elephant) 1.00(136.0-bear) 0.99(681.0-zebra) 0.99(683.0-giraffe) 0.40(838.0-backpack) 0.79(1110.0-umbrella) 0.38(1306.0-handbag) 0.82(601.0-tie) 0.65(686.0-suitcase) 0.91(235.0-frisbee) 0.51(634.0-skis) 0.14(698.0-snowboard) 0.95(551.0-sports ball) 0.74(925.0-kite) 0.80(313.0-baseball bat) 0.76(451.0-baseball glove) 0.94(480.0-skateboard) 0.81(554.0-surfboard) 0.94(304.0-tennis racket) 0.81(2013.0-bottle) 0.90(596.0-wine glass) 0.79(2175.0-cup) 0.34(390.0-fork) 0.28(959.0-knife) 0.24(696.0-spoon) 0.71(1963.0-bowl) 0.59(876.0-banana) 0.28(1082.0-apple) 0.32(1366.0-sandwich) 0.31(581.0-orange) 0.67(617.0-broccoli) 0.43(765.0-carrot) 0.02(6650.0-hot dog) 0.94(572.0-pizza) 0.62(836.0-donut) 0.49(667.0-cake) 0.59(4732.0-chair) 0.70(606.0-couch) 0.64(959.0-potted plant) 0.87(440.0-bed) 0.68(2009.0-dining table) 0.91(375.0-toilet) 0.93(634.0-tv) 0.97(473.0-laptop) 0.95(138.0-mouse) 0.55(431.0-remote) 0.76(300.0-keyboard) 0.61(733.0-cell phone) 0.94(179.0-microwave) 0.72(452.0-oven) 0.00(10.0-toaster) 0.78(618.0-sink) 0.86(271.0-refrigerator) 0.23(2223.0-book) 0.96(472.0-clock) 0.83(546.0-vase) 0.52(154.0-scissors) 0.93(253.0-teddy bear) 0.00(0.0-hair drier) 0.18(293.0-toothbrush)
2021-11-06 16:57:36,191 - mmdet - INFO - pseudo ig: 0.57(93174.0-person) 0.29(2549.0-bicycle) 0.44(14980.0-car) 0.49(2838.0-motorcycle) 0.70(1059.0-airplane) 0.59(2058.0-bus) 0.51(1677.0-train) 0.30(3411.0-truck) 0.27(4189.0-boat) 0.26(5774.0-traffic light) 0.54(667.0-fire hydrant) 0.47(795.0-stop sign) 0.19(533.0-parking meter) 0.18(3398.0-bench) 0.31(2468.0-bird) 0.67(1707.0-cat) 0.61(1578.0-dog) 0.50(2342.0-horse) 0.66(1894.0-sheep) 0.30(3832.0-cow) 0.80(1517.0-elephant) 0.57(496.0-bear) 0.50(2591.0-zebra) 0.67(2158.0-giraffe) 0.18(3158.0-backpack) 0.33(4049.0-umbrella) 0.12(5187.0-handbag) 0.26(2465.0-tie) 0.20(2458.0-suitcase) 0.38(1049.0-frisbee) 0.26(2417.0-skis) 0.13(1092.0-snowboard) 0.34(2328.0-sports ball) 0.31(3478.0-kite) 0.27(1157.0-baseball bat) 0.23(1750.0-baseball glove) 0.40(1821.0-skateboard) 0.35(2092.0-surfboard) 0.64(1321.0-tennis racket) 0.32(8803.0-bottle) 0.34(2290.0-wine glass) 0.28(9111.0-cup) 0.20(1422.0-fork) 0.11(3623.0-knife) 0.09(2832.0-spoon) 0.25(7674.0-bowl) 0.21(3660.0-banana) 0.12(3101.0-apple) 0.15(2253.0-sandwich) 0.26(1341.0-orange) 0.32(2753.0-broccoli) 0.15(3252.0-carrot) 0.03(757.0-hot dog) 0.47(2124.0-pizza) 0.21(3096.0-donut) 0.20(2268.0-cake) 0.19(19167.0-chair) 0.29(2070.0-couch) 0.26(3813.0-potted plant) 0.41(1589.0-bed) 0.28(6015.0-dining table) 0.58(1541.0-toilet) 0.46(2138.0-tv) 0.49(1561.0-laptop) 0.53(511.0-mouse) 0.19(1899.0-remote) 0.42(1035.0-keyboard) 0.21(2773.0-cell phone) 0.35(668.0-microwave) 0.22(1493.0-oven) 0.00(2.0-toaster) 0.35(2221.0-sink) 0.31(973.0-refrigerator) 0.12(9095.0-book) 0.57(2050.0-clock) 0.35(2031.0-vase) 0.23(581.0-scissors) 0.59(964.0-teddy bear) 0.00(0.0-hair drier) 0.05(941.0-toothbrush)
2021-11-06 16:57:36,192 - mmdet - INFO - pseudo gt: 114150.0 3039.0 18987.0 3903.0 2310.0 2799.0 1995.0 4319.0 4598.0 5668.0 868.0 861.0 556.0 4461.0 4552.0 2174.0 2396.0 3033.0 4278.0 3484.0 2459.0 566.0 2352.0 2444.0 3958.0 5042.0 5578.0 2790.0 2730.0 1137.0 2779.0 1177.0 2940.0 3815.0 1508.0 1635.0 2458.0 2623.0 2164.0 10442.0 3284.0 9007.0 2374.0 3338.0 2596.0 6068.0 4078.0 2628.0 1854.0 2716.0 3233.0 3355.0 1266.0 2763.0 2633.0 2690.0 16994.0 2503.0 3823.0 1908.0 6926.0 1889.0 2609.0 2294.0 1048.0 2495.0 1265.0 2879.0 691.0 1382.0 86.0 2483.0 1133.0 11005.0 2673.0 2810.0 657.0 2014.0 86.0 930.0
2021-11-06 16:57:36,192 - mmdet - INFO - pseudo mining: 17501.0 55.0 2031.0 184.0 173.0 288.0 159.0 67.0 147.0 484.0 153.0 412.0 2.0 12.0 64.0 246.0 109.0 228.0 587.0 118.0 569.0 96.0 523.0 670.0 24.0 318.0 14.0 86.0 13.0 166.0 25.0 6.0 550.0 664.0 100.0 169.0 114.0 68.0 487.0 648.0 67.0 473.0 4.0 20.0 5.0 380.0 72.0 47.0 36.0 225.0 195.0 71.0 1.0 153.0 101.0 24.0 63.0 17.0 176.0 18.0 93.0 465.0 388.0 188.0 160.0 21.0 110.0 89.0 62.0 23.0 0.0 228.0 16.0 62.0 1090.0 37.0 5.0 171.0 0.0 0.0
2021-11-06 16:59:01,463 - mmdet - INFO - current percent: 0.2
2021-11-06 16:59:01,464 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (0.99-car) (0.99-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.96-parking meter) (0.96-bench) (0.99-bird) (1.00-cat) (0.98-dog) (0.99-horse) (1.00-sheep) (0.97-cow) (1.00-elephant) (0.99-bear) (1.00-zebra) (1.00-giraffe) (0.92-backpack) (0.99-umbrella) (0.91-handbag) (0.98-tie) (0.94-suitcase) (0.99-frisbee) (0.94-skis) (0.95-snowboard) (0.99-sports ball) (0.98-kite) (0.99-baseball bat) (0.99-baseball glove) (0.99-skateboard) (0.98-surfboard) (1.00-tennis racket) (0.98-bottle) (0.99-wine glass) (0.98-cup) (0.93-fork) (0.92-knife) (0.93-spoon) (0.98-bowl) (0.97-banana) (0.93-apple) (0.99-sandwich) (0.99-orange) (0.99-broccoli) (0.94-carrot) (0.73-hot dog) (0.99-pizza) (0.99-donut) (0.96-cake) (0.91-chair) (0.97-couch) (0.98-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (0.99-tv) (1.00-laptop) (1.00-mouse) (0.87-remote) (1.00-keyboard) (0.99-cell phone) (0.98-microwave) (0.98-oven) (0.14-toaster) (0.99-sink) (0.99-refrigerator) (0.92-book) (1.00-clock) (0.98-vase) (0.79-scissors) (1.00-teddy bear) (0.05-hair drier) (0.77-toothbrush)
2021-11-06 16:59:01,464 - mmdet - INFO - update score thr (ignore): (0.18-person) (0.17-bicycle) (0.36-car) (0.14-motorcycle) (0.43-airplane) (0.34-bus) (0.33-train) (0.31-truck) (0.27-boat) (0.33-traffic light) (0.57-fire hydrant) (0.77-stop sign) (0.12-parking meter) (0.24-bench) (0.13-bird) (0.65-cat) (0.33-dog) (0.21-horse) (0.65-sheep) (0.29-cow) (0.46-elephant) (0.33-bear) (0.06-zebra) (0.24-giraffe) (0.32-backpack) (0.20-umbrella) (0.24-handbag) (0.17-tie) (0.19-suitcase) (0.49-frisbee) (0.24-skis) (0.56-snowboard) (0.27-sports ball) (0.41-kite) (0.43-baseball bat) (0.49-baseball glove) (0.24-skateboard) (0.31-surfboard) (0.60-tennis racket) (0.32-bottle) (0.18-wine glass) (0.25-cup) (0.11-fork) (0.34-knife) (0.26-spoon) (0.36-bowl) (0.25-banana) (0.24-apple) (0.58-sandwich) (0.62-orange) (0.57-broccoli) (0.41-carrot) (0.42-hot dog) (0.45-pizza) (0.53-donut) (0.25-cake) (0.15-chair) (0.35-couch) (0.31-potted plant) (0.44-bed) (0.38-dining table) (0.72-toilet) (0.46-tv) (0.35-laptop) (0.63-mouse) (0.21-remote) (0.50-keyboard) (0.47-cell phone) (0.38-microwave) (0.27-oven) (0.05-toaster) (0.45-sink) (0.48-refrigerator) (0.25-book) (0.67-clock) (0.26-vase) (0.13-scissors) (0.75-teddy bear) (0.05-hair drier) (0.12-toothbrush)
2021-11-06 16:59:01,783 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 16:59:01,783 - mmdet - INFO - Iter [13000/40000]	lr: 2.000e-02, eta: 14:18:54, time: 1.711, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0395, loss_cls: 0.0973, acc: 96.1687, loss_bbox: 0.1850, loss_rpn_cls_unlabeled: 0.0930, loss_rpn_bbox_unlabeled: 0.0984, loss_cls_unlabeled: 0.1666, acc_unlabeled: 91.6202, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1450, pseudo_num: 1.7705, pseudo_num_ig: 6.1271, pseudo_num_mining: 0.6451, pseudo_num(acc): 0.7192, pseudo_num ig(acc): 0.3775, loss: 1.0158
2021-11-06 17:00:27,549 - mmdet - INFO - Iter [13050/40000]	lr: 2.000e-02, eta: 14:19:52, time: 3.394, data_time: 1.707, memory: 26488, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0391, loss_cls: 0.0981, acc: 96.1283, loss_bbox: 0.1855, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1593, acc_unlabeled: 91.5153, loss_bbox_unlabeled: 0.1685, losses_cls_ig_unlabeled: 0.1456, pseudo_num: 1.7696, pseudo_num_ig: 6.1265, pseudo_num_mining: 0.6459, pseudo_num(acc): 0.7195, pseudo_num ig(acc): 0.3776, loss: 0.9930
2021-11-06 17:01:53,180 - mmdet - INFO - Iter [13100/40000]	lr: 2.000e-02, eta: 14:17:56, time: 1.713, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0375, loss_cls: 0.0962, acc: 96.2452, loss_bbox: 0.1818, loss_rpn_cls_unlabeled: 0.0924, loss_rpn_bbox_unlabeled: 0.1064, loss_cls_unlabeled: 0.1622, acc_unlabeled: 91.4702, loss_bbox_unlabeled: 0.1737, losses_cls_ig_unlabeled: 0.1470, pseudo_num: 1.7683, pseudo_num_ig: 6.1257, pseudo_num_mining: 0.6466, pseudo_num(acc): 0.7199, pseudo_num ig(acc): 0.3777, loss: 1.0117
2021-11-06 17:03:17,840 - mmdet - INFO - Iter [13150/40000]	lr: 2.000e-02, eta: 14:15:58, time: 1.694, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0387, loss_cls: 0.0951, acc: 96.3160, loss_bbox: 0.1837, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1625, acc_unlabeled: 91.6047, loss_bbox_unlabeled: 0.1806, losses_cls_ig_unlabeled: 0.1442, pseudo_num: 1.7675, pseudo_num_ig: 6.1257, pseudo_num_mining: 0.6476, pseudo_num(acc): 0.7202, pseudo_num ig(acc): 0.3778, loss: 1.0023
2021-11-06 17:04:42,054 - mmdet - INFO - Iter [13200/40000]	lr: 2.000e-02, eta: 14:13:59, time: 1.683, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0382, loss_cls: 0.0934, acc: 96.3306, loss_bbox: 0.1793, loss_rpn_cls_unlabeled: 0.0895, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1487, acc_unlabeled: 91.5601, loss_bbox_unlabeled: 0.1669, losses_cls_ig_unlabeled: 0.1487, pseudo_num: 1.7665, pseudo_num_ig: 6.1253, pseudo_num_mining: 0.6487, pseudo_num(acc): 0.7206, pseudo_num ig(acc): 0.3779, loss: 0.9748
2021-11-06 17:06:06,647 - mmdet - INFO - Iter [13250/40000]	lr: 2.000e-02, eta: 14:12:01, time: 1.694, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0374, loss_cls: 0.0949, acc: 96.2683, loss_bbox: 0.1838, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.0978, loss_cls_unlabeled: 0.1590, acc_unlabeled: 91.5184, loss_bbox_unlabeled: 0.1721, losses_cls_ig_unlabeled: 0.1435, pseudo_num: 1.7653, pseudo_num_ig: 6.1247, pseudo_num_mining: 0.6497, pseudo_num(acc): 0.7210, pseudo_num ig(acc): 0.3780, loss: 0.9910
2021-11-06 17:07:32,904 - mmdet - INFO - Iter [13300/40000]	lr: 2.000e-02, eta: 14:10:07, time: 1.725, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0392, loss_cls: 0.0938, acc: 96.3134, loss_bbox: 0.1823, loss_rpn_cls_unlabeled: 0.0914, loss_rpn_bbox_unlabeled: 0.0981, loss_cls_unlabeled: 0.1571, acc_unlabeled: 91.8062, loss_bbox_unlabeled: 0.1769, losses_cls_ig_unlabeled: 0.1394, pseudo_num: 1.7643, pseudo_num_ig: 6.1237, pseudo_num_mining: 0.6505, pseudo_num(acc): 0.7214, pseudo_num ig(acc): 0.3781, loss: 0.9926
2021-11-06 17:08:56,673 - mmdet - INFO - Iter [13350/40000]	lr: 2.000e-02, eta: 14:08:08, time: 1.674, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0387, loss_cls: 0.0941, acc: 96.2562, loss_bbox: 0.1846, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1524, acc_unlabeled: 91.7104, loss_bbox_unlabeled: 0.1657, losses_cls_ig_unlabeled: 0.1455, pseudo_num: 1.7635, pseudo_num_ig: 6.1230, pseudo_num_mining: 0.6512, pseudo_num(acc): 0.7217, pseudo_num ig(acc): 0.3782, loss: 0.9786
2021-11-06 17:10:23,676 - mmdet - INFO - Iter [13400/40000]	lr: 2.000e-02, eta: 14:06:16, time: 1.741, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0389, loss_cls: 0.0948, acc: 96.2821, loss_bbox: 0.1821, loss_rpn_cls_unlabeled: 0.0919, loss_rpn_bbox_unlabeled: 0.1023, loss_cls_unlabeled: 0.1618, acc_unlabeled: 91.5149, loss_bbox_unlabeled: 0.1714, losses_cls_ig_unlabeled: 0.1477, pseudo_num: 1.7626, pseudo_num_ig: 6.1232, pseudo_num_mining: 0.6522, pseudo_num(acc): 0.7221, pseudo_num ig(acc): 0.3782, loss: 1.0046
2021-11-06 17:11:48,035 - mmdet - INFO - Iter [13450/40000]	lr: 2.000e-02, eta: 14:04:18, time: 1.686, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0383, loss_cls: 0.0942, acc: 96.3018, loss_bbox: 0.1841, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.1008, loss_cls_unlabeled: 0.1619, acc_unlabeled: 91.3596, loss_bbox_unlabeled: 0.1773, losses_cls_ig_unlabeled: 0.1509, pseudo_num: 1.7619, pseudo_num_ig: 6.1229, pseudo_num_mining: 0.6530, pseudo_num(acc): 0.7224, pseudo_num ig(acc): 0.3783, loss: 1.0072
2021-11-06 17:13:10,681 - mmdet - INFO - pseudo pos: 0.98(25783.0-person) 0.86(727.0-bicycle) 0.92(3909.0-car) 0.97(759.0-motorcycle) 0.98(356.0-airplane) 0.99(564.0-bus) 0.97(533.0-train) 0.68(972.0-truck) 0.64(1032.0-boat) 0.86(1421.0-traffic light) 0.99(221.0-fire hydrant) 0.97(185.0-stop sign) 0.66(189.0-parking meter) 0.58(910.0-bench) 0.90(777.0-bird) 0.95(499.0-cat) 0.93(478.0-dog) 0.94(679.0-horse) 0.95(494.0-sheep) 0.81(994.0-cow) 0.99(357.0-elephant) 1.00(140.0-bear) 0.99(705.0-zebra) 0.99(696.0-giraffe) 0.40(862.0-backpack) 0.79(1157.0-umbrella) 0.39(1327.0-handbag) 0.82(625.0-tie) 0.65(714.0-suitcase) 0.92(249.0-frisbee) 0.51(660.0-skis) 0.15(708.0-snowboard) 0.95(573.0-sports ball) 0.74(978.0-kite) 0.80(324.0-baseball bat) 0.77(462.0-baseball glove) 0.94(498.0-skateboard) 0.80(579.0-surfboard) 0.95(315.0-tennis racket) 0.81(2101.0-bottle) 0.90(613.0-wine glass) 0.80(2249.0-cup) 0.35(405.0-fork) 0.28(986.0-knife) 0.24(711.0-spoon) 0.71(2033.0-bowl) 0.59(900.0-banana) 0.28(1107.0-apple) 0.32(1379.0-sandwich) 0.31(586.0-orange) 0.67(641.0-broccoli) 0.43(789.0-carrot) 0.02(6654.0-hot dog) 0.94(593.0-pizza) 0.63(887.0-donut) 0.49(685.0-cake) 0.59(4888.0-chair) 0.70(630.0-couch) 0.64(999.0-potted plant) 0.87(444.0-bed) 0.68(2069.0-dining table) 0.91(391.0-toilet) 0.93(653.0-tv) 0.97(481.0-laptop) 0.95(142.0-mouse) 0.55(455.0-remote) 0.76(306.0-keyboard) 0.62(755.0-cell phone) 0.94(184.0-microwave) 0.72(471.0-oven) 0.07(14.0-toaster) 0.78(648.0-sink) 0.86(283.0-refrigerator) 0.23(2295.0-book) 0.96(492.0-clock) 0.83(563.0-vase) 0.53(158.0-scissors) 0.93(266.0-teddy bear) 0.00(0.0-hair drier) 0.20(306.0-toothbrush)
2021-11-06 17:13:10,682 - mmdet - INFO - pseudo ig: 0.57(96661.0-person) 0.30(2641.0-bicycle) 0.44(15736.0-car) 0.48(2939.0-motorcycle) 0.70(1104.0-airplane) 0.58(2154.0-bus) 0.50(1735.0-train) 0.30(3606.0-truck) 0.28(4367.0-boat) 0.27(5973.0-traffic light) 0.54(689.0-fire hydrant) 0.48(830.0-stop sign) 0.19(550.0-parking meter) 0.18(3497.0-bench) 0.31(2551.0-bird) 0.68(1753.0-cat) 0.61(1644.0-dog) 0.50(2434.0-horse) 0.66(1947.0-sheep) 0.30(3981.0-cow) 0.81(1580.0-elephant) 0.57(517.0-bear) 0.50(2704.0-zebra) 0.67(2230.0-giraffe) 0.18(3288.0-backpack) 0.33(4224.0-umbrella) 0.12(5371.0-handbag) 0.26(2531.0-tie) 0.19(2564.0-suitcase) 0.38(1084.0-frisbee) 0.26(2492.0-skis) 0.13(1112.0-snowboard) 0.34(2407.0-sports ball) 0.30(3632.0-kite) 0.27(1206.0-baseball bat) 0.23(1793.0-baseball glove) 0.40(1902.0-skateboard) 0.35(2187.0-surfboard) 0.64(1375.0-tennis racket) 0.32(9128.0-bottle) 0.34(2361.0-wine glass) 0.28(9353.0-cup) 0.20(1467.0-fork) 0.11(3728.0-knife) 0.09(2942.0-spoon) 0.25(7945.0-bowl) 0.21(3793.0-banana) 0.12(3175.0-apple) 0.16(2305.0-sandwich) 0.26(1377.0-orange) 0.32(2833.0-broccoli) 0.15(3347.0-carrot) 0.04(761.0-hot dog) 0.47(2183.0-pizza) 0.21(3207.0-donut) 0.20(2364.0-cake) 0.19(19802.0-chair) 0.29(2163.0-couch) 0.26(3937.0-potted plant) 0.41(1628.0-bed) 0.28(6232.0-dining table) 0.58(1600.0-toilet) 0.45(2233.0-tv) 0.49(1601.0-laptop) 0.53(521.0-mouse) 0.19(1974.0-remote) 0.42(1060.0-keyboard) 0.21(2840.0-cell phone) 0.35(700.0-microwave) 0.22(1557.0-oven) 0.00(4.0-toaster) 0.36(2298.0-sink) 0.31(1009.0-refrigerator) 0.12(9398.0-book) 0.57(2114.0-clock) 0.35(2085.0-vase) 0.22(593.0-scissors) 0.61(1025.0-teddy bear) 0.00(0.0-hair drier) 0.05(965.0-toothbrush)
2021-11-06 17:13:10,682 - mmdet - INFO - pseudo gt: 118225.0 3150.0 19868.0 4026.0 2412.0 2916.0 2057.0 4557.0 4815.0 5929.0 906.0 908.0 578.0 4631.0 4741.0 2243.0 2467.0 3144.0 4442.0 3608.0 2553.0 590.0 2447.0 2520.0 4087.0 5292.0 5792.0 2868.0 2823.0 1186.0 2870.0 1240.0 3071.0 3950.0 1541.0 1685.0 2545.0 2705.0 2255.0 10810.0 3378.0 9324.0 2457.0 3462.0 2676.0 6299.0 4231.0 2678.0 1922.0 2800.0 3341.0 3497.0 1323.0 2858.0 2762.0 2782.0 17545.0 2608.0 3953.0 1961.0 7181.0 1960.0 2687.0 2345.0 1065.0 2589.0 1291.0 2971.0 717.0 1439.0 90.0 2575.0 1178.0 11428.0 2765.0 2883.0 680.0 2119.0 90.0 965.0
2021-11-06 17:13:10,682 - mmdet - INFO - pseudo mining: 18243.0 58.0 2183.0 188.0 179.0 304.0 167.0 72.0 156.0 521.0 161.0 442.0 2.0 13.0 69.0 264.0 114.0 237.0 605.0 127.0 598.0 103.0 556.0 699.0 25.0 344.0 14.0 88.0 14.0 175.0 26.0 10.0 577.0 690.0 107.0 177.0 117.0 70.0 514.0 678.0 73.0 504.0 4.0 23.0 7.0 411.0 86.0 50.0 40.0 235.0 206.0 76.0 1.0 159.0 125.0 28.0 64.0 19.0 183.0 22.0 98.0 498.0 407.0 197.0 164.0 22.0 114.0 95.0 63.0 25.0 0.0 248.0 18.0 65.0 1130.0 39.0 5.0 201.0 0.0 0.0
2021-11-06 17:13:12,400 - mmdet - INFO - Iter [13500/40000]	lr: 2.000e-02, eta: 14:02:21, time: 1.689, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0393, loss_cls: 0.0947, acc: 96.2815, loss_bbox: 0.1827, loss_rpn_cls_unlabeled: 0.0907, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1628, acc_unlabeled: 91.4467, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1520, pseudo_num: 1.7613, pseudo_num_ig: 6.1222, pseudo_num_mining: 0.6536, pseudo_num(acc): 0.7228, pseudo_num ig(acc): 0.3783, loss: 1.0113
2021-11-06 17:14:36,560 - mmdet - INFO - Iter [13550/40000]	lr: 2.000e-02, eta: 14:00:24, time: 1.683, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0385, loss_cls: 0.0966, acc: 96.2207, loss_bbox: 0.1826, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1660, acc_unlabeled: 91.5935, loss_bbox_unlabeled: 0.1774, losses_cls_ig_unlabeled: 0.1413, pseudo_num: 1.7604, pseudo_num_ig: 6.1214, pseudo_num_mining: 0.6544, pseudo_num(acc): 0.7231, pseudo_num ig(acc): 0.3784, loss: 0.9961
2021-11-06 17:16:01,409 - mmdet - INFO - Iter [13600/40000]	lr: 2.000e-02, eta: 13:58:29, time: 1.698, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0387, loss_cls: 0.0978, acc: 96.1534, loss_bbox: 0.1866, loss_rpn_cls_unlabeled: 0.0895, loss_rpn_bbox_unlabeled: 0.0967, loss_cls_unlabeled: 0.1611, acc_unlabeled: 91.4933, loss_bbox_unlabeled: 0.1738, losses_cls_ig_unlabeled: 0.1495, pseudo_num: 1.7596, pseudo_num_ig: 6.1201, pseudo_num_mining: 0.6551, pseudo_num(acc): 0.7235, pseudo_num ig(acc): 0.3785, loss: 1.0083
2021-11-06 17:17:26,243 - mmdet - INFO - Iter [13650/40000]	lr: 2.000e-02, eta: 13:56:33, time: 1.697, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0393, loss_cls: 0.0950, acc: 96.2599, loss_bbox: 0.1823, loss_rpn_cls_unlabeled: 0.0887, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1583, acc_unlabeled: 91.4070, loss_bbox_unlabeled: 0.1739, losses_cls_ig_unlabeled: 0.1478, pseudo_num: 1.7587, pseudo_num_ig: 6.1195, pseudo_num_mining: 0.6559, pseudo_num(acc): 0.7239, pseudo_num ig(acc): 0.3786, loss: 0.9984
2021-11-06 17:18:51,251 - mmdet - INFO - Iter [13700/40000]	lr: 2.000e-02, eta: 13:54:38, time: 1.700, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0354, loss_cls: 0.0923, acc: 96.3835, loss_bbox: 0.1798, loss_rpn_cls_unlabeled: 0.0897, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1620, acc_unlabeled: 91.4729, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1504, pseudo_num: 1.7578, pseudo_num_ig: 6.1187, pseudo_num_mining: 0.6566, pseudo_num(acc): 0.7243, pseudo_num ig(acc): 0.3786, loss: 0.9959
2021-11-06 17:20:15,903 - mmdet - INFO - Iter [13750/40000]	lr: 2.000e-02, eta: 13:52:43, time: 1.689, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0375, loss_cls: 0.0942, acc: 96.3171, loss_bbox: 0.1811, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0985, loss_cls_unlabeled: 0.1597, acc_unlabeled: 91.7163, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1410, pseudo_num: 1.7570, pseudo_num_ig: 6.1186, pseudo_num_mining: 0.6575, pseudo_num(acc): 0.7247, pseudo_num ig(acc): 0.3787, loss: 0.9862
2021-11-06 17:21:41,634 - mmdet - INFO - Iter [13800/40000]	lr: 2.000e-02, eta: 13:50:50, time: 1.718, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0388, loss_cls: 0.0944, acc: 96.3069, loss_bbox: 0.1820, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.1028, loss_cls_unlabeled: 0.1655, acc_unlabeled: 91.4142, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1476, pseudo_num: 1.7560, pseudo_num_ig: 6.1182, pseudo_num_mining: 0.6584, pseudo_num(acc): 0.7250, pseudo_num ig(acc): 0.3788, loss: 1.0093
2021-11-06 17:23:06,135 - mmdet - INFO - Iter [13850/40000]	lr: 2.000e-02, eta: 13:48:54, time: 1.686, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0386, loss_cls: 0.0966, acc: 96.2224, loss_bbox: 0.1876, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0962, loss_cls_unlabeled: 0.1547, acc_unlabeled: 91.7782, loss_bbox_unlabeled: 0.1694, losses_cls_ig_unlabeled: 0.1425, pseudo_num: 1.7552, pseudo_num_ig: 6.1174, pseudo_num_mining: 0.6591, pseudo_num(acc): 0.7253, pseudo_num ig(acc): 0.3789, loss: 0.9855
2021-11-06 17:24:30,653 - mmdet - INFO - Iter [13900/40000]	lr: 2.000e-02, eta: 13:47:00, time: 1.695, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0382, loss_cls: 0.0900, acc: 96.4576, loss_bbox: 0.1781, loss_rpn_cls_unlabeled: 0.0814, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1541, acc_unlabeled: 91.6935, loss_bbox_unlabeled: 0.1691, losses_cls_ig_unlabeled: 0.1412, pseudo_num: 1.7540, pseudo_num_ig: 6.1158, pseudo_num_mining: 0.6598, pseudo_num(acc): 0.7257, pseudo_num ig(acc): 0.3789, loss: 0.9616
2021-11-06 17:25:54,938 - mmdet - INFO - Iter [13950/40000]	lr: 2.000e-02, eta: 13:45:04, time: 1.684, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0380, loss_cls: 0.0932, acc: 96.3676, loss_bbox: 0.1760, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.0967, loss_cls_unlabeled: 0.1544, acc_unlabeled: 91.8331, loss_bbox_unlabeled: 0.1619, losses_cls_ig_unlabeled: 0.1443, pseudo_num: 1.7532, pseudo_num_ig: 6.1149, pseudo_num_mining: 0.6605, pseudo_num(acc): 0.7260, pseudo_num ig(acc): 0.3790, loss: 0.9655
2021-11-06 17:27:16,865 - mmdet - INFO - pseudo pos: 0.98(26680.0-person) 0.86(749.0-bicycle) 0.92(4049.0-car) 0.97(799.0-motorcycle) 0.98(370.0-airplane) 0.99(585.0-bus) 0.97(555.0-train) 0.68(998.0-truck) 0.65(1058.0-boat) 0.86(1477.0-traffic light) 0.99(225.0-fire hydrant) 0.97(193.0-stop sign) 0.67(195.0-parking meter) 0.59(945.0-bench) 0.90(804.0-bird) 0.95(509.0-cat) 0.93(503.0-dog) 0.94(702.0-horse) 0.95(505.0-sheep) 0.82(1054.0-cow) 0.99(380.0-elephant) 1.00(144.0-bear) 0.99(734.0-zebra) 0.99(729.0-giraffe) 0.40(907.0-backpack) 0.79(1213.0-umbrella) 0.39(1367.0-handbag) 0.83(642.0-tie) 0.65(739.0-suitcase) 0.92(259.0-frisbee) 0.51(682.0-skis) 0.15(713.0-snowboard) 0.95(595.0-sports ball) 0.74(1008.0-kite) 0.80(334.0-baseball bat) 0.77(475.0-baseball glove) 0.94(522.0-skateboard) 0.81(603.0-surfboard) 0.94(330.0-tennis racket) 0.81(2167.0-bottle) 0.90(621.0-wine glass) 0.80(2322.0-cup) 0.35(419.0-fork) 0.28(1014.0-knife) 0.24(726.0-spoon) 0.71(2101.0-bowl) 0.59(923.0-banana) 0.28(1131.0-apple) 0.33(1394.0-sandwich) 0.32(593.0-orange) 0.67(655.0-broccoli) 0.43(811.0-carrot) 0.02(6655.0-hot dog) 0.94(614.0-pizza) 0.64(913.0-donut) 0.49(707.0-cake) 0.59(5038.0-chair) 0.71(642.0-couch) 0.64(1046.0-potted plant) 0.87(460.0-bed) 0.68(2130.0-dining table) 0.91(397.0-toilet) 0.93(667.0-tv) 0.97(494.0-laptop) 0.95(148.0-mouse) 0.56(484.0-remote) 0.76(315.0-keyboard) 0.62(775.0-cell phone) 0.94(190.0-microwave) 0.73(492.0-oven) 0.06(17.0-toaster) 0.78(665.0-sink) 0.86(287.0-refrigerator) 0.23(2379.0-book) 0.96(513.0-clock) 0.83(586.0-vase) 0.53(160.0-scissors) 0.93(282.0-teddy bear) 0.00(0.0-hair drier) 0.19(315.0-toothbrush)
2021-11-06 17:27:16,865 - mmdet - INFO - pseudo ig: 0.56(100319.0-person) 0.30(2756.0-bicycle) 0.44(16324.0-car) 0.48(3061.0-motorcycle) 0.70(1162.0-airplane) 0.58(2233.0-bus) 0.50(1804.0-train) 0.29(3743.0-truck) 0.28(4503.0-boat) 0.27(6193.0-traffic light) 0.55(708.0-fire hydrant) 0.48(861.0-stop sign) 0.19(568.0-parking meter) 0.18(3600.0-bench) 0.31(2634.0-bird) 0.68(1805.0-cat) 0.61(1731.0-dog) 0.50(2522.0-horse) 0.66(2000.0-sheep) 0.30(4132.0-cow) 0.81(1657.0-elephant) 0.57(540.0-bear) 0.49(2779.0-zebra) 0.68(2290.0-giraffe) 0.18(3416.0-backpack) 0.33(4429.0-umbrella) 0.13(5542.0-handbag) 0.26(2610.0-tie) 0.20(2651.0-suitcase) 0.39(1127.0-frisbee) 0.26(2578.0-skis) 0.13(1130.0-snowboard) 0.34(2488.0-sports ball) 0.30(3727.0-kite) 0.26(1252.0-baseball bat) 0.24(1849.0-baseball glove) 0.40(1971.0-skateboard) 0.34(2277.0-surfboard) 0.64(1415.0-tennis racket) 0.32(9431.0-bottle) 0.34(2411.0-wine glass) 0.28(9664.0-cup) 0.20(1514.0-fork) 0.11(3843.0-knife) 0.09(3008.0-spoon) 0.25(8235.0-bowl) 0.21(3926.0-banana) 0.12(3299.0-apple) 0.16(2336.0-sandwich) 0.27(1426.0-orange) 0.32(2885.0-broccoli) 0.16(3432.0-carrot) 0.04(767.0-hot dog) 0.47(2243.0-pizza) 0.22(3307.0-donut) 0.20(2456.0-cake) 0.19(20458.0-chair) 0.29(2248.0-couch) 0.26(4060.0-potted plant) 0.41(1683.0-bed) 0.29(6423.0-dining table) 0.58(1652.0-toilet) 0.45(2313.0-tv) 0.50(1656.0-laptop) 0.53(542.0-mouse) 0.19(2049.0-remote) 0.42(1093.0-keyboard) 0.21(2928.0-cell phone) 0.36(733.0-microwave) 0.22(1620.0-oven) 0.00(6.0-toaster) 0.36(2366.0-sink) 0.31(1035.0-refrigerator) 0.12(9713.0-book) 0.57(2180.0-clock) 0.35(2161.0-vase) 0.22(619.0-scissors) 0.61(1054.0-teddy bear) 0.00(0.0-hair drier) 0.05(996.0-toothbrush)
2021-11-06 17:27:16,865 - mmdet - INFO - pseudo gt: 122289.0 3268.0 20615.0 4173.0 2524.0 3007.0 2147.0 4715.0 4985.0 6142.0 931.0 961.0 599.0 4833.0 4938.0 2309.0 2570.0 3231.0 4584.0 3778.0 2664.0 614.0 2513.0 2622.0 4236.0 5512.0 6049.0 2948.0 2910.0 1251.0 2963.0 1294.0 3180.0 4063.0 1587.0 1747.0 2633.0 2811.0 2331.0 11200.0 3481.0 9656.0 2560.0 3590.0 2769.0 6519.0 4359.0 2753.0 1983.0 2943.0 3402.0 3603.0 1357.0 2950.0 2905.0 2899.0 18155.0 2708.0 4113.0 2037.0 7456.0 2026.0 2788.0 2424.0 1094.0 2686.0 1329.0 3063.0 747.0 1494.0 90.0 2651.0 1210.0 11782.0 2866.0 2997.0 690.0 2193.0 93.0 991.0
2021-11-06 17:27:16,865 - mmdet - INFO - pseudo mining: 19078.0 62.0 2301.0 198.0 197.0 321.0 180.0 75.0 162.0 566.0 171.0 464.0 2.0 13.0 75.0 284.0 122.0 249.0 636.0 133.0 639.0 109.0 572.0 734.0 26.0 363.0 15.0 97.0 17.0 182.0 26.0 11.0 595.0 702.0 111.0 189.0 128.0 74.0 541.0 698.0 78.0 529.0 5.0 24.0 9.0 432.0 96.0 53.0 43.0 253.0 215.0 79.0 1.0 169.0 139.0 33.0 67.0 21.0 194.0 26.0 107.0 530.0 424.0 206.0 170.0 22.0 127.0 103.0 68.0 26.0 0.0 263.0 21.0 68.0 1179.0 42.0 5.0 209.0 0.0 0.0
2021-11-06 17:28:09,711 - mmdet - INFO - Evaluating bbox...
2021-11-06 17:29:16,066 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.375 | bicycle      | 0.162 | car            | 0.293 |
| motorcycle    | 0.229 | airplane     | 0.270 | bus            | 0.430 |
| train         | 0.355 | truck        | 0.138 | boat           | 0.115 |
| traffic light | 0.189 | fire hydrant | 0.438 | stop sign      | 0.440 |
| parking meter | 0.289 | bench        | 0.110 | bird           | 0.166 |
| cat           | 0.396 | dog          | 0.341 | horse          | 0.363 |
| sheep         | 0.264 | cow          | 0.321 | elephant       | 0.415 |
| bear          | 0.484 | zebra        | 0.419 | giraffe        | 0.490 |
| backpack      | 0.051 | umbrella     | 0.190 | handbag        | 0.048 |
| tie           | 0.159 | suitcase     | 0.092 | frisbee        | 0.370 |
| skis          | 0.051 | snowboard    | 0.050 | sports ball    | 0.308 |
| kite          | 0.214 | baseball bat | 0.116 | baseball glove | 0.226 |
| skateboard    | 0.243 | surfboard    | 0.146 | tennis racket  | 0.232 |
| bottle        | 0.215 | wine glass   | 0.184 | cup            | 0.251 |
| fork          | 0.033 | knife        | 0.032 | spoon          | 0.022 |
| bowl          | 0.247 | banana       | 0.068 | apple          | 0.083 |
| sandwich      | 0.165 | orange       | 0.132 | broccoli       | 0.127 |
| carrot        | 0.051 | hot dog      | 0.046 | pizza          | 0.310 |
| donut         | 0.219 | cake         | 0.094 | chair          | 0.108 |
| couch         | 0.213 | potted plant | 0.117 | bed            | 0.242 |
| dining table  | 0.118 | toilet       | 0.342 | tv             | 0.371 |
| laptop        | 0.365 | mouse        | 0.392 | remote         | 0.055 |
| keyboard      | 0.254 | cell phone   | 0.177 | microwave      | 0.336 |
| oven          | 0.167 | toaster      | 0.024 | sink           | 0.158 |
| refrigerator  | 0.301 | book         | 0.022 | clock          | 0.373 |
| vase          | 0.193 | scissors     | 0.072 | teddy bear     | 0.236 |
| hair drier    | 0.000 | toothbrush   | 0.029 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 17:30:08,157 - mmdet - INFO - Evaluating bbox...
2021-11-06 17:31:14,271 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.395 | bicycle      | 0.173 | car            | 0.305 |
| motorcycle    | 0.248 | airplane     | 0.324 | bus            | 0.466 |
| train         | 0.392 | truck        | 0.150 | boat           | 0.120 |
| traffic light | 0.203 | fire hydrant | 0.479 | stop sign      | 0.485 |
| parking meter | 0.346 | bench        | 0.123 | bird           | 0.172 |
| cat           | 0.414 | dog          | 0.360 | horse          | 0.390 |
| sheep         | 0.297 | cow          | 0.340 | elephant       | 0.420 |
| bear          | 0.485 | zebra        | 0.454 | giraffe        | 0.500 |
| backpack      | 0.052 | umbrella     | 0.195 | handbag        | 0.054 |
| tie           | 0.186 | suitcase     | 0.112 | frisbee        | 0.398 |
| skis          | 0.060 | snowboard    | 0.057 | sports ball    | 0.321 |
| kite          | 0.220 | baseball bat | 0.122 | baseball glove | 0.238 |
| skateboard    | 0.266 | surfboard    | 0.173 | tennis racket  | 0.258 |
| bottle        | 0.239 | wine glass   | 0.199 | cup            | 0.265 |
| fork          | 0.046 | knife        | 0.033 | spoon          | 0.025 |
| bowl          | 0.280 | banana       | 0.081 | apple          | 0.092 |
| sandwich      | 0.180 | orange       | 0.158 | broccoli       | 0.140 |
| carrot        | 0.056 | hot dog      | 0.047 | pizza          | 0.347 |
| donut         | 0.243 | cake         | 0.105 | chair          | 0.117 |
| couch         | 0.222 | potted plant | 0.124 | bed            | 0.281 |
| dining table  | 0.137 | toilet       | 0.373 | tv             | 0.395 |
| laptop        | 0.375 | mouse        | 0.420 | remote         | 0.074 |
| keyboard      | 0.270 | cell phone   | 0.191 | microwave      | 0.336 |
| oven          | 0.174 | toaster      | 0.024 | sink           | 0.172 |
| refrigerator  | 0.328 | book         | 0.027 | clock          | 0.393 |
| vase          | 0.211 | scissors     | 0.107 | teddy bear     | 0.263 |
| hair drier    | 0.000 | toothbrush   | 0.059 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 17:32:38,683 - mmdet - INFO - current percent: 0.2
2021-11-06 17:32:38,683 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (0.99-car) (0.99-motorcycle) (1.00-airplane) (1.00-bus) (0.99-train) (0.97-truck) (0.96-boat) (0.98-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.91-bench) (0.98-bird) (1.00-cat) (0.99-dog) (0.99-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.93-backpack) (0.99-umbrella) (0.79-handbag) (0.98-tie) (0.93-suitcase) (0.99-frisbee) (0.93-skis) (0.88-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (0.99-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.97-bottle) (0.99-wine glass) (0.98-cup) (0.98-fork) (0.92-knife) (0.87-spoon) (0.99-bowl) (0.93-banana) (0.93-apple) (0.98-sandwich) (0.98-orange) (0.99-broccoli) (0.96-carrot) (0.76-hot dog) (0.99-pizza) (1.00-donut) (0.97-cake) (0.93-chair) (0.97-couch) (0.97-potted plant) (0.98-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.92-remote) (1.00-keyboard) (0.98-cell phone) (0.98-microwave) (0.98-oven) (0.22-toaster) (0.99-sink) (0.99-refrigerator) (0.94-book) (1.00-clock) (0.98-vase) (0.81-scissors) (1.00-teddy bear) (0.05-hair drier) (0.69-toothbrush)
2021-11-06 17:32:38,683 - mmdet - INFO - update score thr (ignore): (0.17-person) (0.16-bicycle) (0.31-car) (0.12-motorcycle) (0.69-airplane) (0.33-bus) (0.27-train) (0.35-truck) (0.25-boat) (0.28-traffic light) (0.37-fire hydrant) (0.80-stop sign) (0.19-parking meter) (0.15-bench) (0.09-bird) (0.40-cat) (0.37-dog) (0.27-horse) (0.81-sheep) (0.28-cow) (0.32-elephant) (0.57-bear) (0.15-zebra) (0.11-giraffe) (0.35-backpack) (0.14-umbrella) (0.18-handbag) (0.14-tie) (0.17-suitcase) (0.53-frisbee) (0.24-skis) (0.32-snowboard) (0.28-sports ball) (0.40-kite) (0.38-baseball bat) (0.47-baseball glove) (0.21-skateboard) (0.38-surfboard) (0.67-tennis racket) (0.26-bottle) (0.16-wine glass) (0.21-cup) (0.16-fork) (0.32-knife) (0.20-spoon) (0.35-bowl) (0.13-banana) (0.21-apple) (0.44-sandwich) (0.39-orange) (0.43-broccoli) (0.53-carrot) (0.34-hot dog) (0.37-pizza) (0.72-donut) (0.27-cake) (0.17-chair) (0.39-couch) (0.32-potted plant) (0.36-bed) (0.34-dining table) (0.51-toilet) (0.52-tv) (0.40-laptop) (0.81-mouse) (0.21-remote) (0.44-keyboard) (0.43-cell phone) (0.41-microwave) (0.27-oven) (0.06-toaster) (0.51-sink) (0.48-refrigerator) (0.26-book) (0.52-clock) (0.20-vase) (0.19-scissors) (0.43-teddy bear) (0.05-hair drier) (0.12-toothbrush)
2021-11-06 17:32:38,921 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 17:32:38,922 - mmdet - INFO - Iter [14000/40000]	lr: 2.000e-02, eta: 13:43:08, time: 1.672, data_time: 0.027, memory: 26488, bbox_mAP: 0.2300, bbox_mAP_50: 0.4080, bbox_mAP_75: 0.2350, bbox_mAP_s: 0.1160, bbox_mAP_m: 0.2540, bbox_mAP_l: 0.3070, bbox_mAP_copypaste: 0.230 0.408 0.235 0.116 0.254 0.307, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0388, loss_cls: 0.0939, acc: 96.2830, loss_bbox: 0.1832, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1558, acc_unlabeled: 91.6256, loss_bbox_unlabeled: 0.1706, losses_cls_ig_unlabeled: 0.1477, pseudo_num: 1.7521, pseudo_num_ig: 6.1141, pseudo_num_mining: 0.6613, pseudo_num(acc): 0.7263, pseudo_num ig(acc): 0.3791, loss: 0.9908
2021-11-06 17:34:02,878 - mmdet - INFO - Iter [14050/40000]	lr: 2.000e-02, eta: 13:51:05, time: 8.086, data_time: 6.440, memory: 26488, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0392, loss_cls: 0.0949, acc: 96.2950, loss_bbox: 0.1832, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.1024, loss_cls_unlabeled: 0.1568, acc_unlabeled: 91.3535, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1451, pseudo_num: 1.7513, pseudo_num_ig: 6.1139, pseudo_num_mining: 0.6621, pseudo_num(acc): 0.7267, pseudo_num ig(acc): 0.3791, loss: 1.0004
2021-11-06 17:35:29,652 - mmdet - INFO - Iter [14100/40000]	lr: 2.000e-02, eta: 13:49:11, time: 1.736, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0361, loss_cls: 0.0884, acc: 96.5591, loss_bbox: 0.1742, loss_rpn_cls_unlabeled: 0.0943, loss_rpn_bbox_unlabeled: 0.0998, loss_cls_unlabeled: 0.1577, acc_unlabeled: 91.3672, loss_bbox_unlabeled: 0.1735, losses_cls_ig_unlabeled: 0.1468, pseudo_num: 1.7504, pseudo_num_ig: 6.1142, pseudo_num_mining: 0.6630, pseudo_num(acc): 0.7270, pseudo_num ig(acc): 0.3792, loss: 0.9845
2021-11-06 17:36:55,011 - mmdet - INFO - Iter [14150/40000]	lr: 2.000e-02, eta: 13:47:16, time: 1.707, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0372, loss_cls: 0.0918, acc: 96.3640, loss_bbox: 0.1764, loss_rpn_cls_unlabeled: 0.0946, loss_rpn_bbox_unlabeled: 0.1053, loss_cls_unlabeled: 0.1620, acc_unlabeled: 91.0516, loss_bbox_unlabeled: 0.1749, losses_cls_ig_unlabeled: 0.1525, pseudo_num: 1.7496, pseudo_num_ig: 6.1148, pseudo_num_mining: 0.6638, pseudo_num(acc): 0.7273, pseudo_num ig(acc): 0.3793, loss: 1.0085
2021-11-06 17:38:19,163 - mmdet - INFO - Iter [14200/40000]	lr: 2.000e-02, eta: 13:45:18, time: 1.683, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0381, loss_cls: 0.0927, acc: 96.3411, loss_bbox: 0.1775, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0968, loss_cls_unlabeled: 0.1561, acc_unlabeled: 91.6444, loss_bbox_unlabeled: 0.1682, losses_cls_ig_unlabeled: 0.1444, pseudo_num: 1.7487, pseudo_num_ig: 6.1152, pseudo_num_mining: 0.6648, pseudo_num(acc): 0.7277, pseudo_num ig(acc): 0.3794, loss: 0.9777
2021-11-06 17:39:42,605 - mmdet - INFO - Iter [14250/40000]	lr: 2.000e-02, eta: 13:43:19, time: 1.667, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0384, loss_cls: 0.0931, acc: 96.3627, loss_bbox: 0.1787, loss_rpn_cls_unlabeled: 0.0906, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1601, acc_unlabeled: 91.6117, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1412, pseudo_num: 1.7479, pseudo_num_ig: 6.1156, pseudo_num_mining: 0.6657, pseudo_num(acc): 0.7280, pseudo_num ig(acc): 0.3794, loss: 0.9930
2021-11-06 17:41:07,178 - mmdet - INFO - Iter [14300/40000]	lr: 2.000e-02, eta: 13:41:23, time: 1.694, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0373, loss_cls: 0.0902, acc: 96.4602, loss_bbox: 0.1721, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1630, acc_unlabeled: 91.3654, loss_bbox_unlabeled: 0.1703, losses_cls_ig_unlabeled: 0.1495, pseudo_num: 1.7471, pseudo_num_ig: 6.1154, pseudo_num_mining: 0.6666, pseudo_num(acc): 0.7283, pseudo_num ig(acc): 0.3795, loss: 0.9851
2021-11-06 17:42:31,064 - mmdet - INFO - Iter [14350/40000]	lr: 2.000e-02, eta: 13:39:26, time: 1.676, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0379, loss_cls: 0.0934, acc: 96.3351, loss_bbox: 0.1794, loss_rpn_cls_unlabeled: 0.0934, loss_rpn_bbox_unlabeled: 0.1031, loss_cls_unlabeled: 0.1668, acc_unlabeled: 91.2664, loss_bbox_unlabeled: 0.1782, losses_cls_ig_unlabeled: 0.1536, pseudo_num: 1.7464, pseudo_num_ig: 6.1164, pseudo_num_mining: 0.6675, pseudo_num(acc): 0.7286, pseudo_num ig(acc): 0.3795, loss: 1.0201
2021-11-06 17:43:55,089 - mmdet - INFO - Iter [14400/40000]	lr: 2.000e-02, eta: 13:37:29, time: 1.683, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0371, loss_cls: 0.0908, acc: 96.4545, loss_bbox: 0.1746, loss_rpn_cls_unlabeled: 0.0941, loss_rpn_bbox_unlabeled: 0.1028, loss_cls_unlabeled: 0.1627, acc_unlabeled: 91.4666, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1497, pseudo_num: 1.7457, pseudo_num_ig: 6.1169, pseudo_num_mining: 0.6684, pseudo_num(acc): 0.7289, pseudo_num ig(acc): 0.3796, loss: 1.0023
2021-11-06 17:45:20,857 - mmdet - INFO - Iter [14450/40000]	lr: 2.000e-02, eta: 13:35:36, time: 1.714, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0374, loss_cls: 0.0931, acc: 96.3171, loss_bbox: 0.1819, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1558, acc_unlabeled: 91.5974, loss_bbox_unlabeled: 0.1697, losses_cls_ig_unlabeled: 0.1426, pseudo_num: 1.7450, pseudo_num_ig: 6.1171, pseudo_num_mining: 0.6692, pseudo_num(acc): 0.7292, pseudo_num ig(acc): 0.3797, loss: 0.9803
2021-11-06 17:46:44,088 - mmdet - INFO - pseudo pos: 0.98(27632.0-person) 0.86(775.0-bicycle) 0.92(4192.0-car) 0.97(826.0-motorcycle) 0.98(382.0-airplane) 0.99(615.0-bus) 0.97(575.0-train) 0.69(1030.0-truck) 0.65(1081.0-boat) 0.86(1520.0-traffic light) 0.99(234.0-fire hydrant) 0.97(198.0-stop sign) 0.68(200.0-parking meter) 0.60(976.0-bench) 0.90(832.0-bird) 0.95(527.0-cat) 0.93(525.0-dog) 0.95(726.0-horse) 0.95(520.0-sheep) 0.81(1086.0-cow) 0.99(391.0-elephant) 1.00(147.0-bear) 0.99(756.0-zebra) 0.99(741.0-giraffe) 0.40(933.0-backpack) 0.79(1264.0-umbrella) 0.39(1442.0-handbag) 0.83(665.0-tie) 0.66(760.0-suitcase) 0.92(267.0-frisbee) 0.52(708.0-skis) 0.16(724.0-snowboard) 0.95(613.0-sports ball) 0.74(1042.0-kite) 0.81(345.0-baseball bat) 0.78(491.0-baseball glove) 0.95(558.0-skateboard) 0.81(625.0-surfboard) 0.94(337.0-tennis racket) 0.81(2251.0-bottle) 0.90(638.0-wine glass) 0.80(2402.0-cup) 0.36(425.0-fork) 0.28(1036.0-knife) 0.25(744.0-spoon) 0.71(2171.0-bowl) 0.58(997.0-banana) 0.28(1154.0-apple) 0.33(1411.0-sandwich) 0.33(623.0-orange) 0.67(683.0-broccoli) 0.42(838.0-carrot) 0.02(6656.0-hot dog) 0.94(639.0-pizza) 0.64(920.0-donut) 0.50(733.0-cake) 0.59(5151.0-chair) 0.71(656.0-couch) 0.64(1094.0-potted plant) 0.88(479.0-bed) 0.68(2204.0-dining table) 0.91(407.0-toilet) 0.93(703.0-tv) 0.97(507.0-laptop) 0.96(156.0-mouse) 0.56(503.0-remote) 0.77(328.0-keyboard) 0.62(795.0-cell phone) 0.94(196.0-microwave) 0.73(509.0-oven) 0.06(17.0-toaster) 0.78(680.0-sink) 0.87(296.0-refrigerator) 0.23(2455.0-book) 0.96(538.0-clock) 0.84(607.0-vase) 0.53(168.0-scissors) 0.93(296.0-teddy bear) 0.00(0.0-hair drier) 0.19(326.0-toothbrush)
2021-11-06 17:46:44,088 - mmdet - INFO - pseudo ig: 0.56(104323.0-person) 0.30(2844.0-bicycle) 0.44(16993.0-car) 0.48(3157.0-motorcycle) 0.70(1202.0-airplane) 0.58(2317.0-bus) 0.50(1877.0-train) 0.30(3873.0-truck) 0.28(4637.0-boat) 0.27(6384.0-traffic light) 0.55(732.0-fire hydrant) 0.48(883.0-stop sign) 0.20(587.0-parking meter) 0.18(3730.0-bench) 0.31(2725.0-bird) 0.68(1864.0-cat) 0.61(1792.0-dog) 0.51(2596.0-horse) 0.67(2082.0-sheep) 0.30(4323.0-cow) 0.81(1735.0-elephant) 0.57(559.0-bear) 0.50(2855.0-zebra) 0.68(2378.0-giraffe) 0.18(3529.0-backpack) 0.33(4580.0-umbrella) 0.13(5824.0-handbag) 0.27(2721.0-tie) 0.20(2764.0-suitcase) 0.38(1164.0-frisbee) 0.26(2664.0-skis) 0.13(1157.0-snowboard) 0.34(2578.0-sports ball) 0.30(3883.0-kite) 0.27(1303.0-baseball bat) 0.24(1920.0-baseball glove) 0.40(2040.0-skateboard) 0.35(2341.0-surfboard) 0.64(1446.0-tennis racket) 0.32(9764.0-bottle) 0.34(2498.0-wine glass) 0.28(10024.0-cup) 0.21(1551.0-fork) 0.11(3947.0-knife) 0.09(3124.0-spoon) 0.25(8577.0-bowl) 0.22(4141.0-banana) 0.12(3410.0-apple) 0.16(2401.0-sandwich) 0.27(1470.0-orange) 0.32(3006.0-broccoli) 0.16(3514.0-carrot) 0.05(789.0-hot dog) 0.47(2315.0-pizza) 0.22(3383.0-donut) 0.20(2545.0-cake) 0.19(21039.0-chair) 0.30(2330.0-couch) 0.26(4184.0-potted plant) 0.41(1745.0-bed) 0.29(6633.0-dining table) 0.58(1693.0-toilet) 0.46(2384.0-tv) 0.50(1709.0-laptop) 0.53(560.0-mouse) 0.19(2139.0-remote) 0.42(1139.0-keyboard) 0.21(3044.0-cell phone) 0.36(749.0-microwave) 0.22(1699.0-oven) 0.08(12.0-toaster) 0.36(2451.0-sink) 0.32(1080.0-refrigerator) 0.12(10055.0-book) 0.57(2258.0-clock) 0.34(2255.0-vase) 0.22(638.0-scissors) 0.60(1121.0-teddy bear) 0.00(0.0-hair drier) 0.05(1033.0-toothbrush)
2021-11-06 17:46:44,464 - mmdet - INFO - pseudo gt: 126758.0 3381.0 21355.0 4278.0 2616.0 3127.0 2227.0 4887.0 5144.0 6366.0 960.0 984.0 622.0 5020.0 5135.0 2384.0 2649.0 3353.0 4760.0 3944.0 2758.0 637.0 2605.0 2699.0 4401.0 5692.0 6309.0 3075.0 3012.0 1287.0 3067.0 1339.0 3259.0 4201.0 1656.0 1830.0 2744.0 2898.0 2382.0 11586.0 3592.0 9992.0 2643.0 3699.0 2864.0 6795.0 4549.0 2876.0 2056.0 3076.0 3550.0 3749.0 1392.0 3059.0 2975.0 3010.0 18711.0 2802.0 4245.0 2112.0 7713.0 2076.0 2909.0 2512.0 1148.0 2826.0 1389.0 3166.0 763.0 1550.0 93.0 2738.0 1257.0 12186.0 2967.0 3081.0 717.0 2280.0 97.0 1028.0
2021-11-06 17:46:44,464 - mmdet - INFO - pseudo mining: 19909.0 65.0 2415.0 201.0 203.0 338.0 191.0 80.0 168.0 589.0 174.0 480.0 5.0 13.0 79.0 302.0 132.0 256.0 683.0 152.0 673.0 118.0 604.0 768.0 29.0 376.0 15.0 104.0 18.0 191.0 27.0 11.0 619.0 742.0 123.0 197.0 132.0 79.0 556.0 720.0 84.0 559.0 5.0 24.0 10.0 472.0 99.0 57.0 44.0 261.0 246.0 90.0 1.0 175.0 165.0 38.0 69.0 25.0 200.0 26.0 116.0 547.0 450.0 217.0 180.0 23.0 139.0 114.0 71.0 27.0 0.0 282.0 25.0 76.0 1219.0 43.0 5.0 216.0 0.0 0.0
2021-11-06 17:46:45,779 - mmdet - INFO - Iter [14500/40000]	lr: 2.000e-02, eta: 13:33:41, time: 1.698, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0364, loss_cls: 0.0923, acc: 96.3743, loss_bbox: 0.1790, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.1011, loss_cls_unlabeled: 0.1636, acc_unlabeled: 91.1798, loss_bbox_unlabeled: 0.1710, losses_cls_ig_unlabeled: 0.1490, pseudo_num: 1.7443, pseudo_num_ig: 6.1174, pseudo_num_mining: 0.6699, pseudo_num(acc): 0.7296, pseudo_num ig(acc): 0.3797, loss: 0.9964
2021-11-06 17:48:10,284 - mmdet - INFO - Iter [14550/40000]	lr: 2.000e-02, eta: 13:31:46, time: 1.693, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0374, loss_cls: 0.0913, acc: 96.4438, loss_bbox: 0.1787, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1619, acc_unlabeled: 91.2513, loss_bbox_unlabeled: 0.1738, losses_cls_ig_unlabeled: 0.1529, pseudo_num: 1.7437, pseudo_num_ig: 6.1180, pseudo_num_mining: 0.6707, pseudo_num(acc): 0.7299, pseudo_num ig(acc): 0.3798, loss: 1.0017
2021-11-06 17:49:36,339 - mmdet - INFO - Iter [14600/40000]	lr: 2.000e-02, eta: 13:29:53, time: 1.721, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0377, loss_cls: 0.0898, acc: 96.4666, loss_bbox: 0.1816, loss_rpn_cls_unlabeled: 0.0883, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1588, acc_unlabeled: 91.2930, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1507, pseudo_num: 1.7428, pseudo_num_ig: 6.1182, pseudo_num_mining: 0.6713, pseudo_num(acc): 0.7302, pseudo_num ig(acc): 0.3798, loss: 0.9931
2021-11-06 17:52:18,302 - mmdet - INFO - Iter [14650/40000]	lr: 2.000e-02, eta: 13:30:12, time: 3.236, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0372, loss_cls: 0.0891, acc: 96.4912, loss_bbox: 0.1755, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0996, loss_cls_unlabeled: 0.1574, acc_unlabeled: 91.4608, loss_bbox_unlabeled: 0.1741, losses_cls_ig_unlabeled: 0.1443, pseudo_num: 1.7419, pseudo_num_ig: 6.1180, pseudo_num_mining: 0.6719, pseudo_num(acc): 0.7305, pseudo_num ig(acc): 0.3798, loss: 0.9808
2021-11-06 17:53:42,712 - mmdet - INFO - Iter [14700/40000]	lr: 2.000e-02, eta: 13:28:16, time: 1.691, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0362, loss_cls: 0.0878, acc: 96.5627, loss_bbox: 0.1703, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1604, acc_unlabeled: 91.5177, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1432, pseudo_num: 1.7414, pseudo_num_ig: 6.1184, pseudo_num_mining: 0.6727, pseudo_num(acc): 0.7308, pseudo_num ig(acc): 0.3798, loss: 0.9667
2021-11-06 17:55:08,022 - mmdet - INFO - Iter [14750/40000]	lr: 2.000e-02, eta: 13:26:23, time: 1.707, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0386, loss_cls: 0.0945, acc: 96.2949, loss_bbox: 0.1833, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0997, loss_cls_unlabeled: 0.1658, acc_unlabeled: 91.3708, loss_bbox_unlabeled: 0.1806, losses_cls_ig_unlabeled: 0.1489, pseudo_num: 1.7407, pseudo_num_ig: 6.1177, pseudo_num_mining: 0.6734, pseudo_num(acc): 0.7310, pseudo_num ig(acc): 0.3799, loss: 1.0107
2021-11-06 17:56:31,600 - mmdet - INFO - Iter [14800/40000]	lr: 2.000e-02, eta: 13:24:26, time: 1.671, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0380, loss_cls: 0.0906, acc: 96.4310, loss_bbox: 0.1774, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1593, acc_unlabeled: 91.5874, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1462, pseudo_num: 1.7402, pseudo_num_ig: 6.1178, pseudo_num_mining: 0.6741, pseudo_num(acc): 0.7313, pseudo_num ig(acc): 0.3799, loss: 0.9822
2021-11-06 17:57:56,656 - mmdet - INFO - Iter [14850/40000]	lr: 2.000e-02, eta: 13:22:32, time: 1.702, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0389, loss_cls: 0.0920, acc: 96.4097, loss_bbox: 0.1767, loss_rpn_cls_unlabeled: 0.0924, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.1637, acc_unlabeled: 91.5320, loss_bbox_unlabeled: 0.1765, losses_cls_ig_unlabeled: 0.1437, pseudo_num: 1.7397, pseudo_num_ig: 6.1176, pseudo_num_mining: 0.6749, pseudo_num(acc): 0.7316, pseudo_num ig(acc): 0.3800, loss: 0.9985
2021-11-06 17:59:23,279 - mmdet - INFO - Iter [14900/40000]	lr: 2.000e-02, eta: 13:20:41, time: 1.732, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0382, loss_cls: 0.0911, acc: 96.4252, loss_bbox: 0.1784, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1662, acc_unlabeled: 91.4927, loss_bbox_unlabeled: 0.1777, losses_cls_ig_unlabeled: 0.1433, pseudo_num: 1.7392, pseudo_num_ig: 6.1178, pseudo_num_mining: 0.6756, pseudo_num(acc): 0.7319, pseudo_num ig(acc): 0.3800, loss: 0.9948
2021-11-06 18:00:47,602 - mmdet - INFO - Iter [14950/40000]	lr: 2.000e-02, eta: 13:18:46, time: 1.685, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0397, loss_cls: 0.0970, acc: 96.1793, loss_bbox: 0.1850, loss_rpn_cls_unlabeled: 0.0891, loss_rpn_bbox_unlabeled: 0.1007, loss_cls_unlabeled: 0.1688, acc_unlabeled: 91.2939, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1455, pseudo_num: 1.7388, pseudo_num_ig: 6.1176, pseudo_num_mining: 0.6763, pseudo_num(acc): 0.7322, pseudo_num ig(acc): 0.3800, loss: 1.0233
2021-11-06 18:02:10,388 - mmdet - INFO - pseudo pos: 0.98(28644.0-person) 0.86(800.0-bicycle) 0.92(4369.0-car) 0.97(872.0-motorcycle) 0.98(393.0-airplane) 0.99(639.0-bus) 0.97(596.0-train) 0.68(1064.0-truck) 0.63(1161.0-boat) 0.86(1580.0-traffic light) 0.99(245.0-fire hydrant) 0.97(203.0-stop sign) 0.68(201.0-parking meter) 0.60(1021.0-bench) 0.90(872.0-bird) 0.95(545.0-cat) 0.93(551.0-dog) 0.95(744.0-horse) 0.95(552.0-sheep) 0.82(1105.0-cow) 0.99(396.0-elephant) 0.99(153.0-bear) 0.99(780.0-zebra) 0.99(760.0-giraffe) 0.40(969.0-backpack) 0.79(1309.0-umbrella) 0.39(1503.0-handbag) 0.83(686.0-tie) 0.65(789.0-suitcase) 0.92(275.0-frisbee) 0.52(725.0-skis) 0.16(731.0-snowboard) 0.95(636.0-sports ball) 0.75(1075.0-kite) 0.81(352.0-baseball bat) 0.78(504.0-baseball glove) 0.95(579.0-skateboard) 0.81(656.0-surfboard) 0.94(349.0-tennis racket) 0.81(2361.0-bottle) 0.90(672.0-wine glass) 0.80(2494.0-cup) 0.36(436.0-fork) 0.29(1056.0-knife) 0.25(774.0-spoon) 0.71(2241.0-bowl) 0.58(1038.0-banana) 0.29(1178.0-apple) 0.34(1424.0-sandwich) 0.34(634.0-orange) 0.66(704.0-broccoli) 0.43(848.0-carrot) 0.02(6658.0-hot dog) 0.94(657.0-pizza) 0.64(938.0-donut) 0.50(749.0-cake) 0.60(5310.0-chair) 0.72(675.0-couch) 0.63(1130.0-potted plant) 0.88(495.0-bed) 0.68(2271.0-dining table) 0.91(419.0-toilet) 0.94(728.0-tv) 0.97(520.0-laptop) 0.96(160.0-mouse) 0.56(516.0-remote) 0.77(335.0-keyboard) 0.62(825.0-cell phone) 0.95(207.0-microwave) 0.74(526.0-oven) 0.06(18.0-toaster) 0.79(698.0-sink) 0.87(310.0-refrigerator) 0.23(2545.0-book) 0.96(561.0-clock) 0.84(617.0-vase) 0.53(180.0-scissors) 0.93(315.0-teddy bear) 0.00(0.0-hair drier) 0.19(338.0-toothbrush)
2021-11-06 18:02:10,389 - mmdet - INFO - pseudo ig: 0.56(108138.0-person) 0.30(2944.0-bicycle) 0.44(17544.0-car) 0.48(3276.0-motorcycle) 0.71(1253.0-airplane) 0.58(2382.0-bus) 0.51(1937.0-train) 0.30(4010.0-truck) 0.27(4802.0-boat) 0.27(6573.0-traffic light) 0.54(768.0-fire hydrant) 0.49(905.0-stop sign) 0.20(596.0-parking meter) 0.18(3857.0-bench) 0.31(2832.0-bird) 0.68(1932.0-cat) 0.61(1847.0-dog) 0.50(2686.0-horse) 0.67(2179.0-sheep) 0.31(4520.0-cow) 0.80(1828.0-elephant) 0.57(575.0-bear) 0.50(2938.0-zebra) 0.67(2463.0-giraffe) 0.18(3642.0-backpack) 0.33(4747.0-umbrella) 0.13(6059.0-handbag) 0.27(2820.0-tie) 0.20(2879.0-suitcase) 0.38(1198.0-frisbee) 0.26(2750.0-skis) 0.14(1177.0-snowboard) 0.34(2670.0-sports ball) 0.30(3997.0-kite) 0.27(1364.0-baseball bat) 0.23(1973.0-baseball glove) 0.40(2120.0-skateboard) 0.35(2415.0-surfboard) 0.64(1472.0-tennis racket) 0.32(10148.0-bottle) 0.35(2611.0-wine glass) 0.28(10390.0-cup) 0.21(1584.0-fork) 0.11(4049.0-knife) 0.09(3240.0-spoon) 0.25(8841.0-bowl) 0.21(4327.0-banana) 0.12(3471.0-apple) 0.17(2457.0-sandwich) 0.27(1512.0-orange) 0.32(3088.0-broccoli) 0.16(3605.0-carrot) 0.05(807.0-hot dog) 0.47(2393.0-pizza) 0.23(3464.0-donut) 0.20(2626.0-cake) 0.19(21636.0-chair) 0.30(2396.0-couch) 0.26(4310.0-potted plant) 0.42(1808.0-bed) 0.29(6848.0-dining table) 0.58(1753.0-toilet) 0.45(2468.0-tv) 0.51(1764.0-laptop) 0.53(572.0-mouse) 0.19(2205.0-remote) 0.42(1171.0-keyboard) 0.21(3156.0-cell phone) 0.35(772.0-microwave) 0.22(1756.0-oven) 0.15(13.0-toaster) 0.36(2520.0-sink) 0.32(1108.0-refrigerator) 0.12(10408.0-book) 0.56(2377.0-clock) 0.34(2323.0-vase) 0.21(669.0-scissors) 0.60(1184.0-teddy bear) 0.00(0.0-hair drier) 0.05(1069.0-toothbrush)
2021-11-06 18:02:10,389 - mmdet - INFO - pseudo gt: 131134.0 3477.0 22084.0 4442.0 2706.0 3215.0 2300.0 5079.0 5298.0 6574.0 1000.0 1011.0 644.0 5186.0 5334.0 2460.0 2751.0 3450.0 5006.0 4095.0 2868.0 656.0 2679.0 2776.0 4546.0 5867.0 6508.0 3172.0 3109.0 1329.0 3178.0 1368.0 3365.0 4324.0 1703.0 1865.0 2845.0 3010.0 2442.0 12005.0 3777.0 10365.0 2739.0 3856.0 2972.0 7080.0 4691.0 2961.0 2139.0 3139.0 3642.0 3892.0 1439.0 3145.0 3114.0 3125.0 19311.0 2884.0 4394.0 2177.0 7976.0 2143.0 3001.0 2597.0 1185.0 2935.0 1432.0 3279.0 790.0 1608.0 102.0 2835.0 1322.0 12615.0 3099.0 3167.0 743.0 2372.0 100.0 1066.0
2021-11-06 18:02:10,389 - mmdet - INFO - pseudo mining: 20673.0 68.0 2509.0 204.0 223.0 353.0 200.0 89.0 173.0 624.0 186.0 497.0 7.0 13.0 83.0 316.0 138.0 267.0 743.0 174.0 710.0 122.0 630.0 798.0 30.0 382.0 16.0 106.0 22.0 199.0 28.0 15.0 643.0 759.0 132.0 201.0 138.0 87.0 570.0 742.0 97.0 586.0 5.0 24.0 12.0 506.0 101.0 59.0 48.0 263.0 261.0 96.0 1.0 186.0 198.0 40.0 72.0 25.0 208.0 26.0 118.0 576.0 479.0 230.0 187.0 25.0 145.0 119.0 73.0 28.0 0.0 299.0 28.0 86.0 1287.0 45.0 5.0 229.0 0.0 0.0
2021-11-06 18:03:35,924 - mmdet - INFO - current percent: 0.2
2021-11-06 18:03:35,924 - mmdet - INFO - update score thr (positive): (1.00-person) (0.97-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (0.99-train) (0.97-truck) (0.96-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.89-parking meter) (0.94-bench) (0.98-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.97-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.92-backpack) (0.99-umbrella) (0.90-handbag) (0.98-tie) (0.92-suitcase) (0.99-frisbee) (0.97-skis) (0.79-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (1.00-baseball glove) (0.99-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.98-cup) (0.86-fork) (0.88-knife) (0.84-spoon) (0.99-bowl) (0.95-banana) (0.95-apple) (0.98-sandwich) (0.98-orange) (0.98-broccoli) (0.92-carrot) (0.78-hot dog) (0.99-pizza) (0.99-donut) (0.97-cake) (0.92-chair) (0.96-couch) (0.98-potted plant) (0.98-bed) (0.98-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.93-remote) (1.00-keyboard) (0.98-cell phone) (0.98-microwave) (0.98-oven) (0.19-toaster) (0.99-sink) (0.98-refrigerator) (0.90-book) (1.00-clock) (0.96-vase) (0.86-scissors) (1.00-teddy bear) (0.05-hair drier) (0.83-toothbrush)
2021-11-06 18:03:35,925 - mmdet - INFO - update score thr (ignore): (0.20-person) (0.12-bicycle) (0.37-car) (0.28-motorcycle) (0.51-airplane) (0.47-bus) (0.22-train) (0.33-truck) (0.26-boat) (0.32-traffic light) (0.50-fire hydrant) (0.84-stop sign) (0.08-parking meter) (0.21-bench) (0.08-bird) (0.46-cat) (0.48-dog) (0.28-horse) (0.83-sheep) (0.24-cow) (0.60-elephant) (0.51-bear) (0.09-zebra) (0.11-giraffe) (0.35-backpack) (0.20-umbrella) (0.26-handbag) (0.21-tie) (0.21-suitcase) (0.67-frisbee) (0.31-skis) (0.28-snowboard) (0.42-sports ball) (0.34-kite) (0.41-baseball bat) (0.56-baseball glove) (0.23-skateboard) (0.28-surfboard) (0.77-tennis racket) (0.36-bottle) (0.11-wine glass) (0.24-cup) (0.07-fork) (0.25-knife) (0.17-spoon) (0.35-bowl) (0.19-banana) (0.36-apple) (0.42-sandwich) (0.55-orange) (0.35-broccoli) (0.37-carrot) (0.31-hot dog) (0.37-pizza) (0.52-donut) (0.23-cake) (0.16-chair) (0.38-couch) (0.33-potted plant) (0.38-bed) (0.27-dining table) (0.64-toilet) (0.55-tv) (0.28-laptop) (0.70-mouse) (0.23-remote) (0.49-keyboard) (0.39-cell phone) (0.42-microwave) (0.30-oven) (0.05-toaster) (0.41-sink) (0.38-refrigerator) (0.19-book) (0.81-clock) (0.16-vase) (0.12-scissors) (0.76-teddy bear) (0.05-hair drier) (0.16-toothbrush)
2021-11-06 18:03:36,149 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 18:03:36,150 - mmdet - INFO - Iter [15000/40000]	lr: 2.000e-02, eta: 13:16:52, time: 1.689, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0382, loss_cls: 0.0927, acc: 96.3506, loss_bbox: 0.1793, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.1012, loss_cls_unlabeled: 0.1634, acc_unlabeled: 91.4629, loss_bbox_unlabeled: 0.1764, losses_cls_ig_unlabeled: 0.1461, pseudo_num: 1.7384, pseudo_num_ig: 6.1174, pseudo_num_mining: 0.6771, pseudo_num(acc): 0.7325, pseudo_num ig(acc): 0.3801, loss: 0.9969
2021-11-06 18:04:59,730 - mmdet - INFO - Iter [15050/40000]	lr: 2.000e-02, eta: 13:17:16, time: 3.354, data_time: 1.709, memory: 26488, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0373, loss_cls: 0.0916, acc: 96.3890, loss_bbox: 0.1771, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1616, acc_unlabeled: 91.5444, loss_bbox_unlabeled: 0.1724, losses_cls_ig_unlabeled: 0.1452, pseudo_num: 1.7379, pseudo_num_ig: 6.1172, pseudo_num_mining: 0.6778, pseudo_num(acc): 0.7327, pseudo_num ig(acc): 0.3801, loss: 0.9839
2021-11-06 18:06:22,774 - mmdet - INFO - Iter [15100/40000]	lr: 2.000e-02, eta: 13:15:19, time: 1.661, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0367, loss_cls: 0.0902, acc: 96.4615, loss_bbox: 0.1771, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0978, loss_cls_unlabeled: 0.1689, acc_unlabeled: 91.4429, loss_bbox_unlabeled: 0.1804, losses_cls_ig_unlabeled: 0.1470, pseudo_num: 1.7370, pseudo_num_ig: 6.1160, pseudo_num_mining: 0.6785, pseudo_num(acc): 0.7330, pseudo_num ig(acc): 0.3802, loss: 0.9969
2021-11-06 18:07:46,771 - mmdet - INFO - Iter [15150/40000]	lr: 2.000e-02, eta: 13:13:23, time: 1.680, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0367, loss_cls: 0.0886, acc: 96.5292, loss_bbox: 0.1753, loss_rpn_cls_unlabeled: 0.0910, loss_rpn_bbox_unlabeled: 0.1017, loss_cls_unlabeled: 0.1649, acc_unlabeled: 91.5848, loss_bbox_unlabeled: 0.1780, losses_cls_ig_unlabeled: 0.1457, pseudo_num: 1.7363, pseudo_num_ig: 6.1156, pseudo_num_mining: 0.6794, pseudo_num(acc): 0.7333, pseudo_num ig(acc): 0.3803, loss: 0.9953
2021-11-06 18:09:11,426 - mmdet - INFO - Iter [15200/40000]	lr: 2.000e-02, eta: 13:11:29, time: 1.692, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0371, loss_cls: 0.0894, acc: 96.4794, loss_bbox: 0.1758, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1659, acc_unlabeled: 91.6449, loss_bbox_unlabeled: 0.1792, losses_cls_ig_unlabeled: 0.1426, pseudo_num: 1.7356, pseudo_num_ig: 6.1152, pseudo_num_mining: 0.6804, pseudo_num(acc): 0.7335, pseudo_num ig(acc): 0.3804, loss: 0.9846
2021-11-06 18:10:34,636 - mmdet - INFO - Iter [15250/40000]	lr: 2.000e-02, eta: 13:09:34, time: 1.666, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0376, loss_cls: 0.0948, acc: 96.2771, loss_bbox: 0.1826, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1576, acc_unlabeled: 91.6173, loss_bbox_unlabeled: 0.1733, losses_cls_ig_unlabeled: 0.1459, pseudo_num: 1.7349, pseudo_num_ig: 6.1147, pseudo_num_mining: 0.6814, pseudo_num(acc): 0.7337, pseudo_num ig(acc): 0.3804, loss: 0.9876
2021-11-06 18:12:00,088 - mmdet - INFO - Iter [15300/40000]	lr: 2.000e-02, eta: 13:07:41, time: 1.707, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0366, loss_cls: 0.0897, acc: 96.5043, loss_bbox: 0.1760, loss_rpn_cls_unlabeled: 0.0807, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1599, acc_unlabeled: 91.7982, loss_bbox_unlabeled: 0.1790, losses_cls_ig_unlabeled: 0.1403, pseudo_num: 1.7342, pseudo_num_ig: 6.1144, pseudo_num_mining: 0.6823, pseudo_num(acc): 0.7339, pseudo_num ig(acc): 0.3805, loss: 0.9686
2021-11-06 18:13:24,410 - mmdet - INFO - Iter [15350/40000]	lr: 2.000e-02, eta: 13:05:47, time: 1.687, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0376, loss_cls: 0.0931, acc: 96.3368, loss_bbox: 0.1798, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1682, acc_unlabeled: 91.5490, loss_bbox_unlabeled: 0.1813, losses_cls_ig_unlabeled: 0.1479, pseudo_num: 1.7336, pseudo_num_ig: 6.1136, pseudo_num_mining: 0.6832, pseudo_num(acc): 0.7342, pseudo_num ig(acc): 0.3806, loss: 1.0080
2021-11-06 18:14:50,710 - mmdet - INFO - Iter [15400/40000]	lr: 2.000e-02, eta: 13:03:57, time: 1.727, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0375, loss_cls: 0.0884, acc: 96.5178, loss_bbox: 0.1726, loss_rpn_cls_unlabeled: 0.0912, loss_rpn_bbox_unlabeled: 0.0958, loss_cls_unlabeled: 0.1618, acc_unlabeled: 91.7030, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1426, pseudo_num: 1.7329, pseudo_num_ig: 6.1137, pseudo_num_mining: 0.6842, pseudo_num(acc): 0.7344, pseudo_num ig(acc): 0.3807, loss: 0.9733
2021-11-06 18:16:16,456 - mmdet - INFO - Iter [15450/40000]	lr: 2.000e-02, eta: 13:02:05, time: 1.713, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0385, loss_cls: 0.0918, acc: 96.3883, loss_bbox: 0.1796, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1564, acc_unlabeled: 91.7885, loss_bbox_unlabeled: 0.1680, losses_cls_ig_unlabeled: 0.1376, pseudo_num: 1.7321, pseudo_num_ig: 6.1131, pseudo_num_mining: 0.6849, pseudo_num(acc): 0.7346, pseudo_num ig(acc): 0.3807, loss: 0.9650
2021-11-06 18:17:38,619 - mmdet - INFO - pseudo pos: 0.98(29587.0-person) 0.86(830.0-bicycle) 0.92(4492.0-car) 0.97(897.0-motorcycle) 0.98(413.0-airplane) 0.99(657.0-bus) 0.97(623.0-train) 0.68(1111.0-truck) 0.63(1212.0-boat) 0.86(1634.0-traffic light) 0.99(255.0-fire hydrant) 0.97(209.0-stop sign) 0.69(212.0-parking meter) 0.60(1055.0-bench) 0.91(912.0-bird) 0.95(564.0-cat) 0.93(572.0-dog) 0.95(764.0-horse) 0.95(585.0-sheep) 0.82(1145.0-cow) 0.99(409.0-elephant) 0.99(157.0-bear) 0.99(803.0-zebra) 0.99(782.0-giraffe) 0.41(989.0-backpack) 0.79(1345.0-umbrella) 0.39(1557.0-handbag) 0.83(705.0-tie) 0.65(838.0-suitcase) 0.92(286.0-frisbee) 0.52(735.0-skis) 0.17(738.0-snowboard) 0.95(657.0-sports ball) 0.74(1110.0-kite) 0.81(362.0-baseball bat) 0.79(516.0-baseball glove) 0.95(598.0-skateboard) 0.82(672.0-surfboard) 0.94(357.0-tennis racket) 0.81(2420.0-bottle) 0.91(689.0-wine glass) 0.80(2571.0-cup) 0.36(448.0-fork) 0.29(1090.0-knife) 0.26(808.0-spoon) 0.71(2290.0-bowl) 0.58(1062.0-banana) 0.29(1210.0-apple) 0.34(1435.0-sandwich) 0.35(642.0-orange) 0.67(727.0-broccoli) 0.42(884.0-carrot) 0.02(6663.0-hot dog) 0.94(673.0-pizza) 0.66(969.0-donut) 0.51(765.0-cake) 0.60(5484.0-chair) 0.72(695.0-couch) 0.63(1153.0-potted plant) 0.88(506.0-bed) 0.68(2343.0-dining table) 0.91(431.0-toilet) 0.94(742.0-tv) 0.97(543.0-laptop) 0.96(166.0-mouse) 0.57(539.0-remote) 0.77(344.0-keyboard) 0.62(871.0-cell phone) 0.95(217.0-microwave) 0.75(543.0-oven) 0.06(18.0-toaster) 0.78(711.0-sink) 0.87(317.0-refrigerator) 0.23(2617.0-book) 0.96(586.0-clock) 0.84(633.0-vase) 0.54(189.0-scissors) 0.93(319.0-teddy bear) 0.00(0.0-hair drier) 0.19(345.0-toothbrush)
2021-11-06 18:17:38,620 - mmdet - INFO - pseudo ig: 0.56(111827.0-person) 0.30(3061.0-bicycle) 0.44(18157.0-car) 0.48(3403.0-motorcycle) 0.71(1282.0-airplane) 0.58(2443.0-bus) 0.51(1994.0-train) 0.30(4181.0-truck) 0.27(4925.0-boat) 0.27(6764.0-traffic light) 0.55(793.0-fire hydrant) 0.49(940.0-stop sign) 0.20(622.0-parking meter) 0.18(3976.0-bench) 0.31(2954.0-bird) 0.68(2015.0-cat) 0.61(1915.0-dog) 0.51(2782.0-horse) 0.68(2292.0-sheep) 0.31(4719.0-cow) 0.80(1902.0-elephant) 0.58(597.0-bear) 0.50(3024.0-zebra) 0.67(2540.0-giraffe) 0.18(3726.0-backpack) 0.33(4895.0-umbrella) 0.13(6237.0-handbag) 0.27(2932.0-tie) 0.20(3034.0-suitcase) 0.39(1231.0-frisbee) 0.26(2851.0-skis) 0.14(1192.0-snowboard) 0.34(2750.0-sports ball) 0.30(4132.0-kite) 0.27(1414.0-baseball bat) 0.24(2027.0-baseball glove) 0.40(2182.0-skateboard) 0.35(2496.0-surfboard) 0.65(1514.0-tennis racket) 0.32(10436.0-bottle) 0.35(2713.0-wine glass) 0.27(10732.0-cup) 0.21(1661.0-fork) 0.11(4170.0-knife) 0.09(3352.0-spoon) 0.25(9103.0-bowl) 0.21(4383.0-banana) 0.12(3537.0-apple) 0.17(2511.0-sandwich) 0.27(1542.0-orange) 0.32(3164.0-broccoli) 0.16(3762.0-carrot) 0.06(815.0-hot dog) 0.47(2462.0-pizza) 0.23(3559.0-donut) 0.20(2699.0-cake) 0.19(22295.0-chair) 0.30(2448.0-couch) 0.26(4426.0-potted plant) 0.42(1860.0-bed) 0.29(7099.0-dining table) 0.58(1814.0-toilet) 0.46(2541.0-tv) 0.51(1818.0-laptop) 0.54(581.0-mouse) 0.19(2269.0-remote) 0.42(1208.0-keyboard) 0.21(3258.0-cell phone) 0.35(799.0-microwave) 0.22(1828.0-oven) 0.21(14.0-toaster) 0.36(2597.0-sink) 0.32(1152.0-refrigerator) 0.12(10751.0-book) 0.57(2433.0-clock) 0.34(2391.0-vase) 0.21(701.0-scissors) 0.61(1222.0-teddy bear) 0.00(0.0-hair drier) 0.05(1089.0-toothbrush)
2021-11-06 18:17:38,620 - mmdet - INFO - pseudo gt: 135543.0 3593.0 22878.0 4618.0 2784.0 3332.0 2378.0 5276.0 5474.0 6832.0 1036.0 1061.0 678.0 5351.0 5471.0 2546.0 2867.0 3567.0 5240.0 4281.0 2973.0 680.0 2766.0 2855.0 4677.0 6033.0 6726.0 3308.0 3285.0 1375.0 3278.0 1418.0 3512.0 4440.0 1753.0 1928.0 2906.0 3106.0 2539.0 12409.0 3896.0 10658.0 2836.0 3992.0 3073.0 7308.0 4756.0 3045.0 2192.0 3225.0 3749.0 4072.0 1486.0 3217.0 3262.0 3227.0 20058.0 2976.0 4521.0 2252.0 8268.0 2211.0 3086.0 2681.0 1216.0 3052.0 1469.0 3416.0 826.0 1672.0 110.0 2929.0 1377.0 13016.0 3212.0 3262.0 792.0 2435.0 102.0 1095.0
2021-11-06 18:17:38,620 - mmdet - INFO - pseudo mining: 21558.0 68.0 2646.0 233.0 231.0 370.0 205.0 99.0 178.0 652.0 194.0 520.0 7.0 14.0 87.0 334.0 148.0 295.0 814.0 186.0 739.0 135.0 659.0 824.0 31.0 401.0 17.0 113.0 22.0 209.0 32.0 15.0 681.0 778.0 140.0 216.0 143.0 92.0 597.0 773.0 107.0 609.0 5.0 24.0 12.0 524.0 102.0 61.0 52.0 267.0 266.0 101.0 1.0 202.0 214.0 41.0 75.0 25.0 215.0 26.0 121.0 605.0 509.0 240.0 195.0 25.0 154.0 124.0 76.0 30.0 0.0 318.0 28.0 87.0 1332.0 49.0 5.0 247.0 0.0 0.0
2021-11-06 18:17:40,527 - mmdet - INFO - Iter [15500/40000]	lr: 2.000e-02, eta: 13:00:11, time: 1.679, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0365, loss_cls: 0.0909, acc: 96.4365, loss_bbox: 0.1723, loss_rpn_cls_unlabeled: 0.0892, loss_rpn_bbox_unlabeled: 0.0970, loss_cls_unlabeled: 0.1675, acc_unlabeled: 91.3542, loss_bbox_unlabeled: 0.1781, losses_cls_ig_unlabeled: 0.1452, pseudo_num: 1.7314, pseudo_num_ig: 6.1120, pseudo_num_mining: 0.6856, pseudo_num(acc): 0.7349, pseudo_num ig(acc): 0.3808, loss: 0.9902
2021-11-06 18:19:04,948 - mmdet - INFO - Iter [15550/40000]	lr: 2.000e-02, eta: 12:58:19, time: 1.691, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0377, loss_cls: 0.0903, acc: 96.4698, loss_bbox: 0.1767, loss_rpn_cls_unlabeled: 0.0898, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1651, acc_unlabeled: 91.6814, loss_bbox_unlabeled: 0.1787, losses_cls_ig_unlabeled: 0.1431, pseudo_num: 1.7308, pseudo_num_ig: 6.1109, pseudo_num_mining: 0.6862, pseudo_num(acc): 0.7352, pseudo_num ig(acc): 0.3808, loss: 0.9921
2021-11-06 18:20:29,102 - mmdet - INFO - Iter [15600/40000]	lr: 2.000e-02, eta: 12:56:26, time: 1.686, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0367, loss_cls: 0.0882, acc: 96.5402, loss_bbox: 0.1718, loss_rpn_cls_unlabeled: 0.0891, loss_rpn_bbox_unlabeled: 0.1009, loss_cls_unlabeled: 0.1669, acc_unlabeled: 91.3556, loss_bbox_unlabeled: 0.1796, losses_cls_ig_unlabeled: 0.1496, pseudo_num: 1.7304, pseudo_num_ig: 6.1111, pseudo_num_mining: 0.6870, pseudo_num(acc): 0.7355, pseudo_num ig(acc): 0.3809, loss: 0.9959
2021-11-06 18:21:53,314 - mmdet - INFO - Iter [15650/40000]	lr: 2.000e-02, eta: 12:54:32, time: 1.681, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0352, loss_cls: 0.0893, acc: 96.5206, loss_bbox: 0.1711, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1605, acc_unlabeled: 91.5769, loss_bbox_unlabeled: 0.1786, losses_cls_ig_unlabeled: 0.1464, pseudo_num: 1.7299, pseudo_num_ig: 6.1108, pseudo_num_mining: 0.6878, pseudo_num(acc): 0.7357, pseudo_num ig(acc): 0.3809, loss: 0.9729
2021-11-06 18:23:17,345 - mmdet - INFO - Iter [15700/40000]	lr: 2.000e-02, eta: 12:52:39, time: 1.682, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0363, loss_cls: 0.0890, acc: 96.5276, loss_bbox: 0.1715, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1596, acc_unlabeled: 91.8564, loss_bbox_unlabeled: 0.1722, losses_cls_ig_unlabeled: 0.1417, pseudo_num: 1.7294, pseudo_num_ig: 6.1099, pseudo_num_mining: 0.6884, pseudo_num(acc): 0.7359, pseudo_num ig(acc): 0.3810, loss: 0.9730
2021-11-06 18:24:42,135 - mmdet - INFO - Iter [15750/40000]	lr: 2.000e-02, eta: 12:50:48, time: 1.696, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0384, loss_cls: 0.0929, acc: 96.3547, loss_bbox: 0.1795, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0994, loss_cls_unlabeled: 0.1650, acc_unlabeled: 91.6810, loss_bbox_unlabeled: 0.1803, losses_cls_ig_unlabeled: 0.1369, pseudo_num: 1.7289, pseudo_num_ig: 6.1088, pseudo_num_mining: 0.6892, pseudo_num(acc): 0.7362, pseudo_num ig(acc): 0.3810, loss: 0.9960
2021-11-06 18:26:06,892 - mmdet - INFO - Iter [15800/40000]	lr: 2.000e-02, eta: 12:48:56, time: 1.693, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0383, loss_cls: 0.0931, acc: 96.3385, loss_bbox: 0.1798, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.1016, loss_cls_unlabeled: 0.1698, acc_unlabeled: 91.5698, loss_bbox_unlabeled: 0.1846, losses_cls_ig_unlabeled: 0.1457, pseudo_num: 1.7285, pseudo_num_ig: 6.1087, pseudo_num_mining: 0.6899, pseudo_num(acc): 0.7364, pseudo_num ig(acc): 0.3811, loss: 1.0134
2021-11-06 18:27:31,350 - mmdet - INFO - Iter [15850/40000]	lr: 2.000e-02, eta: 12:47:04, time: 1.691, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0399, loss_cls: 0.0919, acc: 96.4216, loss_bbox: 0.1801, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.1015, loss_cls_unlabeled: 0.1710, acc_unlabeled: 91.4718, loss_bbox_unlabeled: 0.1843, losses_cls_ig_unlabeled: 0.1461, pseudo_num: 1.7281, pseudo_num_ig: 6.1085, pseudo_num_mining: 0.6907, pseudo_num(acc): 0.7366, pseudo_num ig(acc): 0.3811, loss: 1.0177
2021-11-06 18:28:55,723 - mmdet - INFO - Iter [15900/40000]	lr: 2.000e-02, eta: 12:45:12, time: 1.687, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0382, loss_cls: 0.0930, acc: 96.3661, loss_bbox: 0.1794, loss_rpn_cls_unlabeled: 0.0842, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1641, acc_unlabeled: 91.7130, loss_bbox_unlabeled: 0.1767, losses_cls_ig_unlabeled: 0.1409, pseudo_num: 1.7278, pseudo_num_ig: 6.1076, pseudo_num_mining: 0.6913, pseudo_num(acc): 0.7368, pseudo_num ig(acc): 0.3811, loss: 0.9864
2021-11-06 18:30:20,445 - mmdet - INFO - Iter [15950/40000]	lr: 2.000e-02, eta: 12:43:21, time: 1.694, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0369, loss_cls: 0.0885, acc: 96.5422, loss_bbox: 0.1748, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0977, loss_cls_unlabeled: 0.1624, acc_unlabeled: 91.7147, loss_bbox_unlabeled: 0.1783, losses_cls_ig_unlabeled: 0.1418, pseudo_num: 1.7272, pseudo_num_ig: 6.1067, pseudo_num_mining: 0.6920, pseudo_num(acc): 0.7371, pseudo_num ig(acc): 0.3812, loss: 0.9797
2021-11-06 18:31:44,642 - mmdet - INFO - pseudo pos: 0.98(30613.0-person) 0.86(855.0-bicycle) 0.92(4655.0-car) 0.97(926.0-motorcycle) 0.98(437.0-airplane) 0.99(681.0-bus) 0.97(648.0-train) 0.68(1147.0-truck) 0.63(1277.0-boat) 0.86(1690.0-traffic light) 0.99(260.0-fire hydrant) 0.97(215.0-stop sign) 0.70(222.0-parking meter) 0.61(1078.0-bench) 0.91(931.0-bird) 0.95(583.0-cat) 0.93(581.0-dog) 0.95(787.0-horse) 0.96(618.0-sheep) 0.82(1179.0-cow) 0.99(421.0-elephant) 0.99(162.0-bear) 0.99(820.0-zebra) 0.99(812.0-giraffe) 0.41(1030.0-backpack) 0.79(1386.0-umbrella) 0.39(1595.0-handbag) 0.83(723.0-tie) 0.65(874.0-suitcase) 0.92(296.0-frisbee) 0.52(753.0-skis) 0.17(751.0-snowboard) 0.95(670.0-sports ball) 0.73(1173.0-kite) 0.82(373.0-baseball bat) 0.79(522.0-baseball glove) 0.95(615.0-skateboard) 0.82(689.0-surfboard) 0.94(364.0-tennis racket) 0.81(2489.0-bottle) 0.91(720.0-wine glass) 0.80(2675.0-cup) 0.37(465.0-fork) 0.29(1127.0-knife) 0.26(833.0-spoon) 0.71(2353.0-bowl) 0.59(1089.0-banana) 0.30(1233.0-apple) 0.35(1449.0-sandwich) 0.35(667.0-orange) 0.66(746.0-broccoli) 0.43(938.0-carrot) 0.02(6665.0-hot dog) 0.94(699.0-pizza) 0.66(1006.0-donut) 0.51(787.0-cake) 0.60(5713.0-chair) 0.72(717.0-couch) 0.63(1184.0-potted plant) 0.89(524.0-bed) 0.68(2423.0-dining table) 0.91(442.0-toilet) 0.94(753.0-tv) 0.97(558.0-laptop) 0.95(177.0-mouse) 0.57(553.0-remote) 0.76(352.0-keyboard) 0.63(891.0-cell phone) 0.95(224.0-microwave) 0.75(552.0-oven) 0.06(18.0-toaster) 0.78(733.0-sink) 0.88(321.0-refrigerator) 0.23(2709.0-book) 0.96(611.0-clock) 0.84(648.0-vase) 0.54(191.0-scissors) 0.92(330.0-teddy bear) 0.00(0.0-hair drier) 0.19(353.0-toothbrush)
2021-11-06 18:31:44,642 - mmdet - INFO - pseudo ig: 0.56(115404.0-person) 0.30(3178.0-bicycle) 0.45(18795.0-car) 0.48(3504.0-motorcycle) 0.71(1329.0-airplane) 0.59(2517.0-bus) 0.50(2057.0-train) 0.30(4304.0-truck) 0.27(5125.0-boat) 0.28(6985.0-traffic light) 0.55(816.0-fire hydrant) 0.49(969.0-stop sign) 0.20(634.0-parking meter) 0.18(4114.0-bench) 0.31(3023.0-bird) 0.68(2063.0-cat) 0.62(1962.0-dog) 0.51(2870.0-horse) 0.68(2361.0-sheep) 0.31(4856.0-cow) 0.80(1943.0-elephant) 0.58(619.0-bear) 0.50(3075.0-zebra) 0.67(2623.0-giraffe) 0.18(3816.0-backpack) 0.33(5051.0-umbrella) 0.13(6426.0-handbag) 0.27(3017.0-tie) 0.20(3116.0-suitcase) 0.39(1270.0-frisbee) 0.27(2915.0-skis) 0.14(1216.0-snowboard) 0.35(2832.0-sports ball) 0.30(4316.0-kite) 0.27(1454.0-baseball bat) 0.24(2081.0-baseball glove) 0.40(2229.0-skateboard) 0.35(2559.0-surfboard) 0.65(1553.0-tennis racket) 0.32(10786.0-bottle) 0.35(2850.0-wine glass) 0.27(11113.0-cup) 0.21(1711.0-fork) 0.12(4310.0-knife) 0.09(3501.0-spoon) 0.25(9439.0-bowl) 0.21(4520.0-banana) 0.13(3642.0-apple) 0.17(2567.0-sandwich) 0.27(1603.0-orange) 0.33(3257.0-broccoli) 0.16(3899.0-carrot) 0.06(828.0-hot dog) 0.47(2545.0-pizza) 0.23(3685.0-donut) 0.21(2794.0-cake) 0.19(22937.0-chair) 0.30(2514.0-couch) 0.26(4534.0-potted plant) 0.42(1903.0-bed) 0.29(7373.0-dining table) 0.59(1865.0-toilet) 0.46(2607.0-tv) 0.51(1887.0-laptop) 0.53(601.0-mouse) 0.19(2331.0-remote) 0.42(1241.0-keyboard) 0.21(3346.0-cell phone) 0.35(819.0-microwave) 0.22(1875.0-oven) 0.21(14.0-toaster) 0.37(2665.0-sink) 0.32(1185.0-refrigerator) 0.12(11138.0-book) 0.57(2495.0-clock) 0.34(2482.0-vase) 0.21(726.0-scissors) 0.61(1258.0-teddy bear) 0.00(0.0-hair drier) 0.05(1113.0-toothbrush)
2021-11-06 18:31:44,643 - mmdet - INFO - pseudo gt: 140063.0 3689.0 23740.0 4811.0 2883.0 3457.0 2449.0 5445.0 5690.0 7088.0 1065.0 1104.0 694.0 5488.0 5568.0 2607.0 2960.0 3681.0 5399.0 4425.0 3046.0 703.0 2819.0 2960.0 4824.0 6213.0 6958.0 3415.0 3392.0 1417.0 3396.0 1465.0 3628.0 4577.0 1802.0 1982.0 2978.0 3193.0 2616.0 12815.0 4030.0 11027.0 2948.0 4183.0 3222.0 7560.0 4900.0 3184.0 2261.0 3325.0 3845.0 4242.0 1517.0 3322.0 3415.0 3346.0 20763.0 3066.0 4627.0 2310.0 8538.0 2286.0 3173.0 2760.0 1250.0 3143.0 1508.0 3518.0 847.0 1718.0 115.0 3012.0 1401.0 13464.0 3332.0 3354.0 821.0 2527.0 106.0 1135.0
2021-11-06 18:31:44,643 - mmdet - INFO - pseudo mining: 22432.0 68.0 2809.0 246.0 237.0 392.0 213.0 100.0 191.0 689.0 200.0 544.0 7.0 15.0 87.0 352.0 163.0 325.0 864.0 195.0 759.0 144.0 670.0 858.0 31.0 416.0 20.0 118.0 23.0 223.0 33.0 16.0 714.0 814.0 147.0 229.0 149.0 94.0 627.0 822.0 114.0 637.0 5.0 26.0 12.0 569.0 108.0 64.0 54.0 280.0 283.0 106.0 1.0 218.0 234.0 42.0 79.0 28.0 223.0 26.0 126.0 636.0 529.0 255.0 203.0 26.0 165.0 127.0 79.0 31.0 0.0 334.0 28.0 91.0 1374.0 51.0 5.0 264.0 0.0 0.0
2021-11-06 18:32:37,505 - mmdet - INFO - Evaluating bbox...
2021-11-06 18:33:40,907 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.379 | bicycle      | 0.163 | car            | 0.282 |
| motorcycle    | 0.239 | airplane     | 0.297 | bus            | 0.438 |
| train         | 0.382 | truck        | 0.144 | boat           | 0.109 |
| traffic light | 0.179 | fire hydrant | 0.447 | stop sign      | 0.508 |
| parking meter | 0.321 | bench        | 0.106 | bird           | 0.160 |
| cat           | 0.399 | dog          | 0.311 | horse          | 0.373 |
| sheep         | 0.273 | cow          | 0.317 | elephant       | 0.403 |
| bear          | 0.478 | zebra        | 0.450 | giraffe        | 0.480 |
| backpack      | 0.043 | umbrella     | 0.174 | handbag        | 0.044 |
| tie           | 0.165 | suitcase     | 0.088 | frisbee        | 0.387 |
| skis          | 0.059 | snowboard    | 0.050 | sports ball    | 0.278 |
| kite          | 0.187 | baseball bat | 0.119 | baseball glove | 0.206 |
| skateboard    | 0.260 | surfboard    | 0.160 | tennis racket  | 0.238 |
| bottle        | 0.232 | wine glass   | 0.197 | cup            | 0.242 |
| fork          | 0.041 | knife        | 0.029 | spoon          | 0.020 |
| bowl          | 0.251 | banana       | 0.078 | apple          | 0.092 |
| sandwich      | 0.175 | orange       | 0.165 | broccoli       | 0.115 |
| carrot        | 0.052 | hot dog      | 0.066 | pizza          | 0.347 |
| donut         | 0.200 | cake         | 0.096 | chair          | 0.105 |
| couch         | 0.212 | potted plant | 0.109 | bed            | 0.278 |
| dining table  | 0.133 | toilet       | 0.377 | tv             | 0.388 |
| laptop        | 0.379 | mouse        | 0.388 | remote         | 0.068 |
| keyboard      | 0.246 | cell phone   | 0.174 | microwave      | 0.364 |
| oven          | 0.175 | toaster      | 0.022 | sink           | 0.149 |
| refrigerator  | 0.308 | book         | 0.022 | clock          | 0.346 |
| vase          | 0.213 | scissors     | 0.092 | teddy bear     | 0.247 |
| hair drier    | 0.000 | toothbrush   | 0.033 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 18:34:33,576 - mmdet - INFO - Evaluating bbox...
2021-11-06 18:35:36,283 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.397 | bicycle      | 0.172 | car            | 0.305 |
| motorcycle    | 0.254 | airplane     | 0.331 | bus            | 0.479 |
| train         | 0.403 | truck        | 0.140 | boat           | 0.129 |
| traffic light | 0.204 | fire hydrant | 0.463 | stop sign      | 0.506 |
| parking meter | 0.349 | bench        | 0.121 | bird           | 0.175 |
| cat           | 0.414 | dog          | 0.350 | horse          | 0.393 |
| sheep         | 0.291 | cow          | 0.342 | elephant       | 0.430 |
| bear          | 0.503 | zebra        | 0.465 | giraffe        | 0.496 |
| backpack      | 0.052 | umbrella     | 0.196 | handbag        | 0.053 |
| tie           | 0.191 | suitcase     | 0.113 | frisbee        | 0.405 |
| skis          | 0.066 | snowboard    | 0.063 | sports ball    | 0.320 |
| kite          | 0.228 | baseball bat | 0.123 | baseball glove | 0.232 |
| skateboard    | 0.269 | surfboard    | 0.188 | tennis racket  | 0.253 |
| bottle        | 0.248 | wine glass   | 0.199 | cup            | 0.261 |
| fork          | 0.040 | knife        | 0.035 | spoon          | 0.023 |
| bowl          | 0.278 | banana       | 0.087 | apple          | 0.089 |
| sandwich      | 0.179 | orange       | 0.166 | broccoli       | 0.128 |
| carrot        | 0.062 | hot dog      | 0.064 | pizza          | 0.348 |
| donut         | 0.219 | cake         | 0.110 | chair          | 0.117 |
| couch         | 0.225 | potted plant | 0.115 | bed            | 0.301 |
| dining table  | 0.140 | toilet       | 0.388 | tv             | 0.401 |
| laptop        | 0.387 | mouse        | 0.428 | remote         | 0.077 |
| keyboard      | 0.270 | cell phone   | 0.188 | microwave      | 0.341 |
| oven          | 0.177 | toaster      | 0.034 | sink           | 0.167 |
| refrigerator  | 0.324 | book         | 0.026 | clock          | 0.394 |
| vase          | 0.214 | scissors     | 0.133 | teddy bear     | 0.265 |
| hair drier    | 0.000 | toothbrush   | 0.041 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 18:36:59,075 - mmdet - INFO - current percent: 0.2
2021-11-06 18:36:59,075 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (0.99-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.91-parking meter) (0.93-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (0.99-umbrella) (0.92-handbag) (0.99-tie) (0.96-suitcase) (0.99-frisbee) (0.91-skis) (0.94-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.98-surfboard) (1.00-tennis racket) (0.97-bottle) (0.99-wine glass) (0.99-cup) (0.98-fork) (0.88-knife) (0.91-spoon) (0.99-bowl) (0.96-banana) (0.97-apple) (0.98-sandwich) (0.99-orange) (0.98-broccoli) (0.94-carrot) (0.82-hot dog) (0.99-pizza) (0.99-donut) (0.97-cake) (0.92-chair) (0.97-couch) (0.99-potted plant) (0.97-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.91-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.14-toaster) (1.00-sink) (0.99-refrigerator) (0.90-book) (1.00-clock) (0.98-vase) (0.80-scissors) (1.00-teddy bear) (0.05-hair drier) (0.82-toothbrush)
2021-11-06 18:36:59,075 - mmdet - INFO - update score thr (ignore): (0.19-person) (0.15-bicycle) (0.34-car) (0.19-motorcycle) (0.54-airplane) (0.40-bus) (0.20-train) (0.34-truck) (0.26-boat) (0.31-traffic light) (0.51-fire hydrant) (0.62-stop sign) (0.09-parking meter) (0.18-bench) (0.10-bird) (0.63-cat) (0.47-dog) (0.25-horse) (0.85-sheep) (0.25-cow) (0.84-elephant) (0.69-bear) (0.09-zebra) (0.09-giraffe) (0.37-backpack) (0.14-umbrella) (0.25-handbag) (0.15-tie) (0.23-suitcase) (0.57-frisbee) (0.19-skis) (0.32-snowboard) (0.29-sports ball) (0.57-kite) (0.42-baseball bat) (0.44-baseball glove) (0.33-skateboard) (0.26-surfboard) (0.45-tennis racket) (0.25-bottle) (0.12-wine glass) (0.25-cup) (0.10-fork) (0.25-knife) (0.27-spoon) (0.33-bowl) (0.19-banana) (0.25-apple) (0.46-sandwich) (0.77-orange) (0.42-broccoli) (0.42-carrot) (0.35-hot dog) (0.30-pizza) (0.59-donut) (0.31-cake) (0.15-chair) (0.35-couch) (0.36-potted plant) (0.35-bed) (0.36-dining table) (0.58-toilet) (0.59-tv) (0.37-laptop) (0.84-mouse) (0.20-remote) (0.51-keyboard) (0.42-cell phone) (0.57-microwave) (0.34-oven) (0.05-toaster) (0.48-sink) (0.51-refrigerator) (0.24-book) (0.50-clock) (0.19-vase) (0.17-scissors) (0.78-teddy bear) (0.05-hair drier) (0.11-toothbrush)
2021-11-06 18:36:59,398 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 18:36:59,398 - mmdet - INFO - Iter [16000/40000]	lr: 2.000e-02, eta: 12:41:32, time: 1.717, data_time: 0.027, memory: 26488, bbox_mAP: 0.2320, bbox_mAP_50: 0.4100, bbox_mAP_75: 0.2370, bbox_mAP_s: 0.1150, bbox_mAP_m: 0.2570, bbox_mAP_l: 0.3090, bbox_mAP_copypaste: 0.232 0.410 0.237 0.115 0.257 0.309, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0388, loss_cls: 0.0921, acc: 96.3733, loss_bbox: 0.1802, loss_rpn_cls_unlabeled: 0.0872, loss_rpn_bbox_unlabeled: 0.1011, loss_cls_unlabeled: 0.1615, acc_unlabeled: 91.5685, loss_bbox_unlabeled: 0.1747, losses_cls_ig_unlabeled: 0.1422, pseudo_num: 1.7266, pseudo_num_ig: 6.1068, pseudo_num_mining: 0.6929, pseudo_num(acc): 0.7373, pseudo_num ig(acc): 0.3813, loss: 0.9917
2021-11-06 18:38:22,733 - mmdet - INFO - Iter [16050/40000]	lr: 2.000e-02, eta: 12:47:26, time: 7.930, data_time: 6.289, memory: 26488, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0365, loss_cls: 0.0861, acc: 96.6224, loss_bbox: 0.1675, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1540, acc_unlabeled: 91.9578, loss_bbox_unlabeled: 0.1675, losses_cls_ig_unlabeled: 0.1411, pseudo_num: 1.7259, pseudo_num_ig: 6.1062, pseudo_num_mining: 0.6937, pseudo_num(acc): 0.7376, pseudo_num ig(acc): 0.3813, loss: 0.9453
2021-11-06 18:39:46,477 - mmdet - INFO - Iter [16100/40000]	lr: 2.000e-02, eta: 12:45:32, time: 1.672, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0374, loss_cls: 0.0892, acc: 96.4962, loss_bbox: 0.1764, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1616, acc_unlabeled: 91.7977, loss_bbox_unlabeled: 0.1810, losses_cls_ig_unlabeled: 0.1374, pseudo_num: 1.7252, pseudo_num_ig: 6.1056, pseudo_num_mining: 0.6945, pseudo_num(acc): 0.7378, pseudo_num ig(acc): 0.3814, loss: 0.9826
2021-11-06 18:41:11,413 - mmdet - INFO - Iter [16150/40000]	lr: 2.000e-02, eta: 12:43:39, time: 1.701, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0380, loss_cls: 0.0896, acc: 96.4790, loss_bbox: 0.1753, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0970, loss_cls_unlabeled: 0.1575, acc_unlabeled: 91.5052, loss_bbox_unlabeled: 0.1736, losses_cls_ig_unlabeled: 0.1460, pseudo_num: 1.7246, pseudo_num_ig: 6.1051, pseudo_num_mining: 0.6953, pseudo_num(acc): 0.7380, pseudo_num ig(acc): 0.3815, loss: 0.9737
2021-11-06 18:42:35,076 - mmdet - INFO - Iter [16200/40000]	lr: 2.000e-02, eta: 12:41:45, time: 1.673, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0374, loss_cls: 0.0884, acc: 96.5580, loss_bbox: 0.1720, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1556, acc_unlabeled: 91.8374, loss_bbox_unlabeled: 0.1718, losses_cls_ig_unlabeled: 0.1423, pseudo_num: 1.7239, pseudo_num_ig: 6.1043, pseudo_num_mining: 0.6961, pseudo_num(acc): 0.7383, pseudo_num ig(acc): 0.3816, loss: 0.9601
2021-11-06 18:43:59,221 - mmdet - INFO - Iter [16250/40000]	lr: 2.000e-02, eta: 12:39:52, time: 1.683, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0374, loss_cls: 0.0889, acc: 96.5027, loss_bbox: 0.1758, loss_rpn_cls_unlabeled: 0.0888, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1578, acc_unlabeled: 91.5420, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1506, pseudo_num: 1.7232, pseudo_num_ig: 6.1038, pseudo_num_mining: 0.6970, pseudo_num(acc): 0.7385, pseudo_num ig(acc): 0.3817, loss: 0.9842
2021-11-06 18:45:22,847 - mmdet - INFO - Iter [16300/40000]	lr: 2.000e-02, eta: 12:37:57, time: 1.670, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0366, loss_cls: 0.0900, acc: 96.4579, loss_bbox: 0.1761, loss_rpn_cls_unlabeled: 0.0898, loss_rpn_bbox_unlabeled: 0.0968, loss_cls_unlabeled: 0.1607, acc_unlabeled: 91.6793, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1424, pseudo_num: 1.7225, pseudo_num_ig: 6.1037, pseudo_num_mining: 0.6979, pseudo_num(acc): 0.7388, pseudo_num ig(acc): 0.3817, loss: 0.9832
2021-11-06 18:46:48,955 - mmdet - INFO - Iter [16350/40000]	lr: 2.000e-02, eta: 12:36:07, time: 1.725, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0365, loss_cls: 0.0877, acc: 96.5649, loss_bbox: 0.1726, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0995, loss_cls_unlabeled: 0.1520, acc_unlabeled: 91.8254, loss_bbox_unlabeled: 0.1695, losses_cls_ig_unlabeled: 0.1424, pseudo_num: 1.7218, pseudo_num_ig: 6.1037, pseudo_num_mining: 0.6990, pseudo_num(acc): 0.7390, pseudo_num ig(acc): 0.3818, loss: 0.9589
2021-11-06 18:48:12,786 - mmdet - INFO - Iter [16400/40000]	lr: 2.000e-02, eta: 12:34:14, time: 1.677, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0360, loss_cls: 0.0892, acc: 96.5186, loss_bbox: 0.1745, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.1006, loss_cls_unlabeled: 0.1624, acc_unlabeled: 91.3993, loss_bbox_unlabeled: 0.1763, losses_cls_ig_unlabeled: 0.1508, pseudo_num: 1.7210, pseudo_num_ig: 6.1032, pseudo_num_mining: 0.6997, pseudo_num(acc): 0.7392, pseudo_num ig(acc): 0.3818, loss: 0.9885
2021-11-06 18:49:36,520 - mmdet - INFO - Iter [16450/40000]	lr: 2.000e-02, eta: 12:32:21, time: 1.671, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0365, loss_cls: 0.0898, acc: 96.4930, loss_bbox: 0.1789, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0984, loss_cls_unlabeled: 0.1573, acc_unlabeled: 91.5620, loss_bbox_unlabeled: 0.1741, losses_cls_ig_unlabeled: 0.1481, pseudo_num: 1.7204, pseudo_num_ig: 6.1030, pseudo_num_mining: 0.7005, pseudo_num(acc): 0.7394, pseudo_num ig(acc): 0.3819, loss: 0.9840
2021-11-06 18:51:00,862 - mmdet - INFO - pseudo pos: 0.98(31499.0-person) 0.86(888.0-bicycle) 0.92(4790.0-car) 0.97(956.0-motorcycle) 0.98(453.0-airplane) 0.99(700.0-bus) 0.97(664.0-train) 0.68(1181.0-truck) 0.63(1322.0-boat) 0.86(1735.0-traffic light) 0.99(264.0-fire hydrant) 0.97(218.0-stop sign) 0.71(227.0-parking meter) 0.61(1113.0-bench) 0.91(956.0-bird) 0.95(599.0-cat) 0.93(594.0-dog) 0.95(809.0-horse) 0.96(643.0-sheep) 0.82(1219.0-cow) 0.99(433.0-elephant) 0.99(169.0-bear) 0.99(857.0-zebra) 0.99(842.0-giraffe) 0.41(1064.0-backpack) 0.80(1411.0-umbrella) 0.39(1632.0-handbag) 0.83(743.0-tie) 0.66(900.0-suitcase) 0.92(302.0-frisbee) 0.53(780.0-skis) 0.18(757.0-snowboard) 0.95(684.0-sports ball) 0.73(1200.0-kite) 0.82(385.0-baseball bat) 0.79(542.0-baseball glove) 0.95(629.0-skateboard) 0.82(711.0-surfboard) 0.94(379.0-tennis racket) 0.81(2583.0-bottle) 0.91(745.0-wine glass) 0.80(2786.0-cup) 0.37(471.0-fork) 0.29(1172.0-knife) 0.26(854.0-spoon) 0.71(2416.0-bowl) 0.59(1112.0-banana) 0.30(1260.0-apple) 0.35(1464.0-sandwich) 0.34(684.0-orange) 0.67(767.0-broccoli) 0.42(963.0-carrot) 0.02(6668.0-hot dog) 0.94(723.0-pizza) 0.66(1030.0-donut) 0.52(808.0-cake) 0.60(5860.0-chair) 0.73(741.0-couch) 0.63(1216.0-potted plant) 0.89(538.0-bed) 0.69(2484.0-dining table) 0.91(453.0-toilet) 0.94(774.0-tv) 0.97(571.0-laptop) 0.95(179.0-mouse) 0.57(572.0-remote) 0.77(360.0-keyboard) 0.63(928.0-cell phone) 0.95(228.0-microwave) 0.75(563.0-oven) 0.06(18.0-toaster) 0.79(754.0-sink) 0.88(333.0-refrigerator) 0.23(2793.0-book) 0.96(627.0-clock) 0.84(668.0-vase) 0.52(209.0-scissors) 0.92(333.0-teddy bear) 0.00(0.0-hair drier) 0.19(362.0-toothbrush)
2021-11-06 18:51:00,862 - mmdet - INFO - pseudo ig: 0.56(118817.0-person) 0.30(3276.0-bicycle) 0.45(19376.0-car) 0.49(3623.0-motorcycle) 0.70(1373.0-airplane) 0.59(2603.0-bus) 0.50(2130.0-train) 0.30(4457.0-truck) 0.27(5312.0-boat) 0.28(7161.0-traffic light) 0.55(837.0-fire hydrant) 0.49(1000.0-stop sign) 0.20(653.0-parking meter) 0.18(4244.0-bench) 0.30(3097.0-bird) 0.67(2128.0-cat) 0.62(2011.0-dog) 0.51(2957.0-horse) 0.68(2457.0-sheep) 0.32(5015.0-cow) 0.80(1992.0-elephant) 0.58(637.0-bear) 0.50(3181.0-zebra) 0.67(2685.0-giraffe) 0.18(3915.0-backpack) 0.33(5249.0-umbrella) 0.13(6619.0-handbag) 0.28(3117.0-tie) 0.20(3196.0-suitcase) 0.39(1303.0-frisbee) 0.27(3009.0-skis) 0.14(1251.0-snowboard) 0.34(2911.0-sports ball) 0.30(4419.0-kite) 0.26(1498.0-baseball bat) 0.24(2122.0-baseball glove) 0.40(2280.0-skateboard) 0.35(2640.0-surfboard) 0.65(1586.0-tennis racket) 0.32(11163.0-bottle) 0.35(2984.0-wine glass) 0.27(11442.0-cup) 0.21(1747.0-fork) 0.12(4463.0-knife) 0.09(3594.0-spoon) 0.25(9738.0-bowl) 0.21(4645.0-banana) 0.13(3764.0-apple) 0.17(2624.0-sandwich) 0.27(1644.0-orange) 0.33(3318.0-broccoli) 0.16(3983.0-carrot) 0.06(839.0-hot dog) 0.47(2636.0-pizza) 0.23(3790.0-donut) 0.21(2890.0-cake) 0.19(23553.0-chair) 0.30(2587.0-couch) 0.26(4668.0-potted plant) 0.42(1960.0-bed) 0.29(7606.0-dining table) 0.59(1922.0-toilet) 0.46(2679.0-tv) 0.51(1942.0-laptop) 0.54(613.0-mouse) 0.20(2396.0-remote) 0.42(1280.0-keyboard) 0.21(3449.0-cell phone) 0.35(843.0-microwave) 0.22(1935.0-oven) 0.27(15.0-toaster) 0.37(2732.0-sink) 0.32(1209.0-refrigerator) 0.12(11437.0-book) 0.57(2569.0-clock) 0.34(2560.0-vase) 0.22(756.0-scissors) 0.61(1293.0-teddy bear) 0.00(0.0-hair drier) 0.05(1142.0-toothbrush)
2021-11-06 18:51:00,863 - mmdet - INFO - pseudo gt: 144260.0 3827.0 24484.0 4948.0 2954.0 3592.0 2517.0 5602.0 5851.0 7311.0 1094.0 1129.0 715.0 5647.0 5719.0 2684.0 3063.0 3794.0 5603.0 4570.0 3129.0 728.0 2920.0 3041.0 4971.0 6385.0 7179.0 3511.0 3515.0 1463.0 3516.0 1509.0 3691.0 4697.0 1850.0 2039.0 3059.0 3290.0 2687.0 13203.0 4147.0 11383.0 3059.0 4314.0 3345.0 7787.0 5063.0 3308.0 2327.0 3427.0 3958.0 4355.0 1554.0 3419.0 3530.0 3480.0 21357.0 3184.0 4783.0 2383.0 8782.0 2354.0 3274.0 2842.0 1284.0 3243.0 1554.0 3649.0 869.0 1760.0 118.0 3093.0 1444.0 13862.0 3427.0 3462.0 847.0 2576.0 110.0 1162.0
2021-11-06 18:51:00,863 - mmdet - INFO - pseudo mining: 23262.0 71.0 2925.0 258.0 248.0 414.0 219.0 106.0 207.0 723.0 211.0 564.0 7.0 16.0 92.0 372.0 167.0 340.0 926.0 207.0 794.0 149.0 696.0 882.0 31.0 441.0 22.0 129.0 24.0 237.0 33.0 16.0 734.0 846.0 152.0 233.0 159.0 95.0 642.0 848.0 120.0 679.0 5.0 26.0 13.0 615.0 115.0 72.0 55.0 295.0 292.0 108.0 1.0 231.0 252.0 47.0 83.0 29.0 240.0 27.0 133.0 662.0 559.0 268.0 211.0 28.0 178.0 136.0 83.0 34.0 0.0 348.0 29.0 92.0 1411.0 52.0 5.0 282.0 0.0 0.0
2021-11-06 18:51:02,422 - mmdet - INFO - Iter [16500/40000]	lr: 2.000e-02, eta: 12:30:31, time: 1.718, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0361, loss_cls: 0.0880, acc: 96.5851, loss_bbox: 0.1709, loss_rpn_cls_unlabeled: 0.0930, loss_rpn_bbox_unlabeled: 0.1018, loss_cls_unlabeled: 0.1650, acc_unlabeled: 91.6295, loss_bbox_unlabeled: 0.1803, losses_cls_ig_unlabeled: 0.1472, pseudo_num: 1.7199, pseudo_num_ig: 6.1032, pseudo_num_mining: 0.7015, pseudo_num(acc): 0.7397, pseudo_num ig(acc): 0.3820, loss: 0.9956
2021-11-06 18:52:27,481 - mmdet - INFO - Iter [16550/40000]	lr: 2.000e-02, eta: 12:28:40, time: 1.706, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0353, loss_cls: 0.0846, acc: 96.6770, loss_bbox: 0.1663, loss_rpn_cls_unlabeled: 0.0907, loss_rpn_bbox_unlabeled: 0.1003, loss_cls_unlabeled: 0.1590, acc_unlabeled: 91.6432, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1437, pseudo_num: 1.7196, pseudo_num_ig: 6.1041, pseudo_num_mining: 0.7025, pseudo_num(acc): 0.7399, pseudo_num ig(acc): 0.3821, loss: 0.9690
2021-11-06 18:53:53,257 - mmdet - INFO - Iter [16600/40000]	lr: 2.000e-02, eta: 12:26:50, time: 1.713, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0363, loss_cls: 0.0867, acc: 96.6144, loss_bbox: 0.1685, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0990, loss_cls_unlabeled: 0.1608, acc_unlabeled: 91.6910, loss_bbox_unlabeled: 0.1769, losses_cls_ig_unlabeled: 0.1407, pseudo_num: 1.7190, pseudo_num_ig: 6.1042, pseudo_num_mining: 0.7034, pseudo_num(acc): 0.7401, pseudo_num ig(acc): 0.3821, loss: 0.9715
2021-11-06 18:55:19,707 - mmdet - INFO - Iter [16650/40000]	lr: 2.000e-02, eta: 12:25:01, time: 1.731, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0345, loss_cls: 0.0871, acc: 96.5842, loss_bbox: 0.1715, loss_rpn_cls_unlabeled: 0.0891, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1632, acc_unlabeled: 91.6572, loss_bbox_unlabeled: 0.1737, losses_cls_ig_unlabeled: 0.1431, pseudo_num: 1.7184, pseudo_num_ig: 6.1038, pseudo_num_mining: 0.7042, pseudo_num(acc): 0.7403, pseudo_num ig(acc): 0.3822, loss: 0.9734
2021-11-06 18:56:43,604 - mmdet - INFO - Iter [16700/40000]	lr: 2.000e-02, eta: 12:23:09, time: 1.676, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0373, loss_cls: 0.0885, acc: 96.5568, loss_bbox: 0.1735, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.1624, acc_unlabeled: 91.4406, loss_bbox_unlabeled: 0.1765, losses_cls_ig_unlabeled: 0.1465, pseudo_num: 1.7179, pseudo_num_ig: 6.1035, pseudo_num_mining: 0.7050, pseudo_num(acc): 0.7405, pseudo_num ig(acc): 0.3823, loss: 0.9821
2021-11-06 18:58:06,679 - mmdet - INFO - Iter [16750/40000]	lr: 2.000e-02, eta: 12:21:16, time: 1.659, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0358, loss_cls: 0.0867, acc: 96.5800, loss_bbox: 0.1711, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.1624, acc_unlabeled: 91.5951, loss_bbox_unlabeled: 0.1811, losses_cls_ig_unlabeled: 0.1433, pseudo_num: 1.7173, pseudo_num_ig: 6.1035, pseudo_num_mining: 0.7057, pseudo_num(acc): 0.7408, pseudo_num ig(acc): 0.3823, loss: 0.9793
2021-11-06 18:59:31,640 - mmdet - INFO - Iter [16800/40000]	lr: 2.000e-02, eta: 12:19:25, time: 1.703, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0353, loss_cls: 0.0854, acc: 96.6384, loss_bbox: 0.1714, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.1002, loss_cls_unlabeled: 0.1592, acc_unlabeled: 91.5109, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1457, pseudo_num: 1.7168, pseudo_num_ig: 6.1036, pseudo_num_mining: 0.7065, pseudo_num(acc): 0.7410, pseudo_num ig(acc): 0.3824, loss: 0.9721
2021-11-06 19:00:56,496 - mmdet - INFO - Iter [16850/40000]	lr: 2.000e-02, eta: 12:17:35, time: 1.693, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0375, loss_cls: 0.0912, acc: 96.4427, loss_bbox: 0.1723, loss_rpn_cls_unlabeled: 0.0918, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1606, acc_unlabeled: 91.7725, loss_bbox_unlabeled: 0.1726, losses_cls_ig_unlabeled: 0.1462, pseudo_num: 1.7161, pseudo_num_ig: 6.1036, pseudo_num_mining: 0.7075, pseudo_num(acc): 0.7412, pseudo_num ig(acc): 0.3825, loss: 0.9821
2021-11-06 19:02:21,579 - mmdet - INFO - Iter [16900/40000]	lr: 2.000e-02, eta: 12:15:45, time: 1.705, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0358, loss_cls: 0.0844, acc: 96.7014, loss_bbox: 0.1702, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.1647, acc_unlabeled: 91.6461, loss_bbox_unlabeled: 0.1801, losses_cls_ig_unlabeled: 0.1440, pseudo_num: 1.7155, pseudo_num_ig: 6.1037, pseudo_num_mining: 0.7086, pseudo_num(acc): 0.7414, pseudo_num ig(acc): 0.3825, loss: 0.9799
2021-11-06 19:03:44,549 - mmdet - INFO - Iter [16950/40000]	lr: 2.000e-02, eta: 12:13:52, time: 1.659, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0366, loss_cls: 0.0841, acc: 96.6848, loss_bbox: 0.1685, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1598, acc_unlabeled: 91.7515, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1419, pseudo_num: 1.7148, pseudo_num_ig: 6.1032, pseudo_num_mining: 0.7095, pseudo_num(acc): 0.7417, pseudo_num ig(acc): 0.3826, loss: 0.9531
2021-11-06 19:05:06,390 - mmdet - INFO - pseudo pos: 0.98(32375.0-person) 0.86(910.0-bicycle) 0.92(4925.0-car) 0.97(991.0-motorcycle) 0.98(459.0-airplane) 0.99(716.0-bus) 0.98(682.0-train) 0.68(1215.0-truck) 0.63(1358.0-boat) 0.86(1786.0-traffic light) 0.99(268.0-fire hydrant) 0.97(223.0-stop sign) 0.72(240.0-parking meter) 0.62(1146.0-bench) 0.91(990.0-bird) 0.95(616.0-cat) 0.93(615.0-dog) 0.95(840.0-horse) 0.96(659.0-sheep) 0.82(1237.0-cow) 0.99(454.0-elephant) 0.99(172.0-bear) 0.99(875.0-zebra) 0.99(878.0-giraffe) 0.41(1093.0-backpack) 0.79(1446.0-umbrella) 0.40(1676.0-handbag) 0.83(762.0-tie) 0.66(920.0-suitcase) 0.91(313.0-frisbee) 0.52(810.0-skis) 0.18(766.0-snowboard) 0.95(716.0-sports ball) 0.73(1231.0-kite) 0.82(392.0-baseball bat) 0.79(565.0-baseball glove) 0.95(646.0-skateboard) 0.82(732.0-surfboard) 0.95(391.0-tennis racket) 0.81(2702.0-bottle) 0.91(773.0-wine glass) 0.80(2862.0-cup) 0.37(476.0-fork) 0.29(1204.0-knife) 0.26(875.0-spoon) 0.71(2526.0-bowl) 0.59(1138.0-banana) 0.30(1273.0-apple) 0.36(1476.0-sandwich) 0.35(689.0-orange) 0.67(787.0-broccoli) 0.42(997.0-carrot) 0.02(6670.0-hot dog) 0.95(753.0-pizza) 0.66(1066.0-donut) 0.52(824.0-cake) 0.60(6077.0-chair) 0.73(766.0-couch) 0.64(1258.0-potted plant) 0.89(561.0-bed) 0.69(2528.0-dining table) 0.91(476.0-toilet) 0.94(798.0-tv) 0.97(578.0-laptop) 0.95(181.0-mouse) 0.57(582.0-remote) 0.76(368.0-keyboard) 0.63(947.0-cell phone) 0.95(233.0-microwave) 0.75(576.0-oven) 0.06(18.0-toaster) 0.79(779.0-sink) 0.88(345.0-refrigerator) 0.23(2876.0-book) 0.96(644.0-clock) 0.84(692.0-vase) 0.52(215.0-scissors) 0.92(342.0-teddy bear) 0.00(0.0-hair drier) 0.19(371.0-toothbrush)
2021-11-06 19:05:06,391 - mmdet - INFO - pseudo ig: 0.56(122363.0-person) 0.30(3354.0-bicycle) 0.45(19916.0-car) 0.48(3739.0-motorcycle) 0.71(1445.0-airplane) 0.59(2650.0-bus) 0.50(2203.0-train) 0.29(4581.0-truck) 0.27(5459.0-boat) 0.28(7349.0-traffic light) 0.55(860.0-fire hydrant) 0.50(1026.0-stop sign) 0.20(674.0-parking meter) 0.18(4369.0-bench) 0.31(3220.0-bird) 0.67(2183.0-cat) 0.62(2070.0-dog) 0.51(3050.0-horse) 0.69(2515.0-sheep) 0.32(5179.0-cow) 0.80(2067.0-elephant) 0.58(647.0-bear) 0.50(3278.0-zebra) 0.67(2764.0-giraffe) 0.18(4027.0-backpack) 0.33(5481.0-umbrella) 0.13(6792.0-handbag) 0.28(3196.0-tie) 0.20(3288.0-suitcase) 0.39(1339.0-frisbee) 0.26(3091.0-skis) 0.15(1274.0-snowboard) 0.34(2991.0-sports ball) 0.30(4544.0-kite) 0.27(1543.0-baseball bat) 0.24(2176.0-baseball glove) 0.40(2333.0-skateboard) 0.35(2715.0-surfboard) 0.66(1627.0-tennis racket) 0.32(11572.0-bottle) 0.35(3117.0-wine glass) 0.27(11822.0-cup) 0.22(1781.0-fork) 0.12(4597.0-knife) 0.09(3673.0-spoon) 0.25(10099.0-bowl) 0.21(4797.0-banana) 0.13(3870.0-apple) 0.18(2659.0-sandwich) 0.27(1664.0-orange) 0.33(3383.0-broccoli) 0.16(4105.0-carrot) 0.07(849.0-hot dog) 0.47(2721.0-pizza) 0.23(3899.0-donut) 0.21(2940.0-cake) 0.19(24290.0-chair) 0.31(2667.0-couch) 0.27(4836.0-potted plant) 0.42(2017.0-bed) 0.29(7856.0-dining table) 0.59(1998.0-toilet) 0.46(2749.0-tv) 0.51(1999.0-laptop) 0.54(628.0-mouse) 0.20(2456.0-remote) 0.43(1324.0-keyboard) 0.21(3541.0-cell phone) 0.35(862.0-microwave) 0.22(1985.0-oven) 0.24(17.0-toaster) 0.37(2825.0-sink) 0.32(1239.0-refrigerator) 0.12(11828.0-book) 0.57(2655.0-clock) 0.34(2649.0-vase) 0.21(788.0-scissors) 0.62(1321.0-teddy bear) 0.00(0.0-hair drier) 0.05(1183.0-toothbrush)
2021-11-06 19:05:06,391 - mmdet - INFO - pseudo gt: 148482.0 3928.0 25227.0 5105.0 3065.0 3677.0 2589.0 5735.0 6040.0 7496.0 1119.0 1153.0 734.0 5813.0 5941.0 2758.0 3168.0 3925.0 5802.0 4682.0 3279.0 752.0 3005.0 3133.0 5135.0 6566.0 7373.0 3594.0 3672.0 1513.0 3632.0 1566.0 3790.0 4846.0 1901.0 2088.0 3150.0 3373.0 2755.0 13653.0 4288.0 11744.0 3128.0 4441.0 3465.0 8071.0 5160.0 3399.0 2385.0 3555.0 4064.0 4437.0 1613.0 3537.0 3654.0 3590.0 22071.0 3280.0 4931.0 2447.0 9051.0 2461.0 3379.0 2945.0 1320.0 3345.0 1598.0 3749.0 887.0 1810.0 120.0 3200.0 1485.0 14275.0 3530.0 3578.0 882.0 2648.0 111.0 1196.0
2021-11-06 19:05:06,391 - mmdet - INFO - pseudo mining: 24138.0 71.0 3031.0 278.0 278.0 426.0 229.0 110.0 217.0 746.0 221.0 579.0 7.0 16.0 103.0 390.0 174.0 356.0 966.0 221.0 842.0 150.0 721.0 906.0 32.0 467.0 24.0 134.0 26.0 245.0 34.0 16.0 752.0 884.0 158.0 243.0 171.0 96.0 661.0 874.0 132.0 724.0 6.0 26.0 13.0 662.0 120.0 74.0 58.0 305.0 303.0 110.0 1.0 248.0 284.0 49.0 85.0 33.0 254.0 27.0 146.0 694.0 586.0 289.0 219.0 29.0 192.0 141.0 86.0 36.0 0.0 376.0 29.0 97.0 1454.0 54.0 5.0 295.0 0.0 0.0
2021-11-06 19:06:30,803 - mmdet - INFO - current percent: 0.2
2021-11-06 19:06:30,804 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.95-bench) (0.98-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (0.99-umbrella) (0.89-handbag) (0.98-tie) (0.95-suitcase) (1.00-frisbee) (0.94-skis) (0.92-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.98-cup) (0.95-fork) (0.93-knife) (0.89-spoon) (0.98-bowl) (0.94-banana) (0.88-apple) (0.99-sandwich) (0.98-orange) (0.98-broccoli) (0.96-carrot) (0.71-hot dog) (0.99-pizza) (0.98-donut) (0.97-cake) (0.91-chair) (0.98-couch) (0.98-potted plant) (0.99-bed) (0.98-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.95-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.12-toaster) (0.99-sink) (1.00-refrigerator) (0.92-book) (1.00-clock) (0.98-vase) (0.86-scissors) (1.00-teddy bear) (0.05-hair drier) (0.61-toothbrush)
2021-11-06 19:06:30,804 - mmdet - INFO - update score thr (ignore): (0.21-person) (0.13-bicycle) (0.28-car) (0.25-motorcycle) (0.55-airplane) (0.45-bus) (0.24-train) (0.31-truck) (0.29-boat) (0.29-traffic light) (0.31-fire hydrant) (0.78-stop sign) (0.09-parking meter) (0.23-bench) (0.12-bird) (0.42-cat) (0.44-dog) (0.24-horse) (0.89-sheep) (0.31-cow) (0.49-elephant) (0.46-bear) (0.05-zebra) (0.15-giraffe) (0.40-backpack) (0.17-umbrella) (0.22-handbag) (0.19-tie) (0.18-suitcase) (0.52-frisbee) (0.22-skis) (0.34-snowboard) (0.32-sports ball) (0.51-kite) (0.50-baseball bat) (0.52-baseball glove) (0.22-skateboard) (0.36-surfboard) (0.59-tennis racket) (0.33-bottle) (0.13-wine glass) (0.24-cup) (0.06-fork) (0.28-knife) (0.23-spoon) (0.34-bowl) (0.14-banana) (0.15-apple) (0.44-sandwich) (0.59-orange) (0.38-broccoli) (0.51-carrot) (0.33-hot dog) (0.27-pizza) (0.54-donut) (0.29-cake) (0.14-chair) (0.37-couch) (0.36-potted plant) (0.41-bed) (0.27-dining table) (0.59-toilet) (0.55-tv) (0.34-laptop) (0.60-mouse) (0.22-remote) (0.56-keyboard) (0.40-cell phone) (0.50-microwave) (0.34-oven) (0.05-toaster) (0.46-sink) (0.42-refrigerator) (0.24-book) (0.56-clock) (0.20-vase) (0.18-scissors) (0.83-teddy bear) (0.05-hair drier) (0.09-toothbrush)
2021-11-06 19:06:31,109 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 19:06:31,110 - mmdet - INFO - Iter [17000/40000]	lr: 2.000e-02, eta: 12:12:00, time: 1.665, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0361, loss_cls: 0.0862, acc: 96.6057, loss_bbox: 0.1698, loss_rpn_cls_unlabeled: 0.0901, loss_rpn_bbox_unlabeled: 0.0997, loss_cls_unlabeled: 0.1596, acc_unlabeled: 91.6555, loss_bbox_unlabeled: 0.1707, losses_cls_ig_unlabeled: 0.1438, pseudo_num: 1.7141, pseudo_num_ig: 6.1028, pseudo_num_mining: 0.7102, pseudo_num(acc): 0.7418, pseudo_num ig(acc): 0.3827, loss: 0.9687
2021-11-06 19:07:55,208 - mmdet - INFO - Iter [17050/40000]	lr: 2.000e-02, eta: 12:12:02, time: 3.348, data_time: 1.694, memory: 26488, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0374, loss_cls: 0.0876, acc: 96.5715, loss_bbox: 0.1713, loss_rpn_cls_unlabeled: 0.0922, loss_rpn_bbox_unlabeled: 0.1016, loss_cls_unlabeled: 0.1581, acc_unlabeled: 91.8080, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1395, pseudo_num: 1.7136, pseudo_num_ig: 6.1027, pseudo_num_mining: 0.7111, pseudo_num(acc): 0.7420, pseudo_num ig(acc): 0.3828, loss: 0.9782
2021-11-06 19:09:18,538 - mmdet - INFO - Iter [17100/40000]	lr: 2.000e-02, eta: 12:10:09, time: 1.668, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0362, loss_cls: 0.0873, acc: 96.5828, loss_bbox: 0.1719, loss_rpn_cls_unlabeled: 0.0863, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1636, acc_unlabeled: 91.7975, loss_bbox_unlabeled: 0.1782, losses_cls_ig_unlabeled: 0.1425, pseudo_num: 1.7130, pseudo_num_ig: 6.1026, pseudo_num_mining: 0.7120, pseudo_num(acc): 0.7423, pseudo_num ig(acc): 0.3828, loss: 0.9735
2021-11-06 19:10:43,168 - mmdet - INFO - Iter [17150/40000]	lr: 2.000e-02, eta: 12:08:19, time: 1.689, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0359, loss_cls: 0.0879, acc: 96.5682, loss_bbox: 0.1751, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0970, loss_cls_unlabeled: 0.1631, acc_unlabeled: 91.6239, loss_bbox_unlabeled: 0.1768, losses_cls_ig_unlabeled: 0.1447, pseudo_num: 1.7124, pseudo_num_ig: 6.1023, pseudo_num_mining: 0.7128, pseudo_num(acc): 0.7425, pseudo_num ig(acc): 0.3829, loss: 0.9801
2021-11-06 19:12:07,472 - mmdet - INFO - Iter [17200/40000]	lr: 2.000e-02, eta: 12:06:28, time: 1.688, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0361, loss_cls: 0.0839, acc: 96.6906, loss_bbox: 0.1678, loss_rpn_cls_unlabeled: 0.0915, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1597, acc_unlabeled: 91.6991, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1420, pseudo_num: 1.7118, pseudo_num_ig: 6.1020, pseudo_num_mining: 0.7136, pseudo_num(acc): 0.7427, pseudo_num ig(acc): 0.3830, loss: 0.9668
2021-11-06 19:13:33,933 - mmdet - INFO - Iter [17250/40000]	lr: 2.000e-02, eta: 12:04:41, time: 1.728, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0375, loss_cls: 0.0867, acc: 96.5914, loss_bbox: 0.1709, loss_rpn_cls_unlabeled: 0.0841, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1583, acc_unlabeled: 91.8466, loss_bbox_unlabeled: 0.1782, losses_cls_ig_unlabeled: 0.1395, pseudo_num: 1.7112, pseudo_num_ig: 6.1014, pseudo_num_mining: 0.7143, pseudo_num(acc): 0.7429, pseudo_num ig(acc): 0.3830, loss: 0.9626
2021-11-06 19:14:58,621 - mmdet - INFO - Iter [17300/40000]	lr: 2.000e-02, eta: 12:02:51, time: 1.695, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0363, loss_cls: 0.0873, acc: 96.5621, loss_bbox: 0.1748, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1570, acc_unlabeled: 91.7882, loss_bbox_unlabeled: 0.1710, losses_cls_ig_unlabeled: 0.1403, pseudo_num: 1.7106, pseudo_num_ig: 6.1008, pseudo_num_mining: 0.7151, pseudo_num(acc): 0.7431, pseudo_num ig(acc): 0.3831, loss: 0.9586
2021-11-06 19:16:25,388 - mmdet - INFO - Iter [17350/40000]	lr: 2.000e-02, eta: 12:01:04, time: 1.736, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0362, loss_cls: 0.0840, acc: 96.7094, loss_bbox: 0.1635, loss_rpn_cls_unlabeled: 0.0835, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1583, acc_unlabeled: 91.6990, loss_bbox_unlabeled: 0.1709, losses_cls_ig_unlabeled: 0.1445, pseudo_num: 1.7101, pseudo_num_ig: 6.1003, pseudo_num_mining: 0.7158, pseudo_num(acc): 0.7433, pseudo_num ig(acc): 0.3832, loss: 0.9494
2021-11-06 19:17:53,060 - mmdet - INFO - Iter [17400/40000]	lr: 2.000e-02, eta: 11:59:18, time: 1.752, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0367, loss_cls: 0.0855, acc: 96.6681, loss_bbox: 0.1693, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1600, acc_unlabeled: 91.8169, loss_bbox_unlabeled: 0.1765, losses_cls_ig_unlabeled: 0.1406, pseudo_num: 1.7096, pseudo_num_ig: 6.0996, pseudo_num_mining: 0.7164, pseudo_num(acc): 0.7436, pseudo_num ig(acc): 0.3832, loss: 0.9575
2021-11-06 19:19:17,701 - mmdet - INFO - Iter [17450/40000]	lr: 2.000e-02, eta: 11:57:29, time: 1.694, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0371, loss_cls: 0.0858, acc: 96.6315, loss_bbox: 0.1682, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1578, acc_unlabeled: 91.9330, loss_bbox_unlabeled: 0.1737, losses_cls_ig_unlabeled: 0.1387, pseudo_num: 1.7092, pseudo_num_ig: 6.0990, pseudo_num_mining: 0.7171, pseudo_num(acc): 0.7438, pseudo_num ig(acc): 0.3833, loss: 0.9535
2021-11-06 19:20:40,371 - mmdet - INFO - pseudo pos: 0.98(33329.0-person) 0.86(931.0-bicycle) 0.92(5065.0-car) 0.97(1017.0-motorcycle) 0.98(469.0-airplane) 0.99(743.0-bus) 0.98(694.0-train) 0.68(1249.0-truck) 0.63(1382.0-boat) 0.86(1824.0-traffic light) 0.99(276.0-fire hydrant) 0.97(232.0-stop sign) 0.73(244.0-parking meter) 0.62(1193.0-bench) 0.91(1013.0-bird) 0.95(636.0-cat) 0.93(629.0-dog) 0.95(861.0-horse) 0.96(667.0-sheep) 0.83(1274.0-cow) 0.99(484.0-elephant) 0.99(181.0-bear) 0.99(900.0-zebra) 0.99(896.0-giraffe) 0.41(1109.0-backpack) 0.79(1485.0-umbrella) 0.40(1710.0-handbag) 0.84(791.0-tie) 0.66(951.0-suitcase) 0.92(325.0-frisbee) 0.53(839.0-skis) 0.19(771.0-snowboard) 0.95(729.0-sports ball) 0.73(1268.0-kite) 0.82(406.0-baseball bat) 0.80(578.0-baseball glove) 0.95(670.0-skateboard) 0.83(753.0-surfboard) 0.95(401.0-tennis racket) 0.81(2762.0-bottle) 0.92(792.0-wine glass) 0.80(2933.0-cup) 0.38(486.0-fork) 0.30(1228.0-knife) 0.26(895.0-spoon) 0.71(2606.0-bowl) 0.59(1207.0-banana) 0.30(1293.0-apple) 0.36(1492.0-sandwich) 0.36(712.0-orange) 0.68(809.0-broccoli) 0.42(1009.0-carrot) 0.02(6671.0-hot dog) 0.95(778.0-pizza) 0.67(1089.0-donut) 0.52(844.0-cake) 0.60(6253.0-chair) 0.74(775.0-couch) 0.64(1304.0-potted plant) 0.89(580.0-bed) 0.68(2604.0-dining table) 0.91(488.0-toilet) 0.94(823.0-tv) 0.97(599.0-laptop) 0.95(188.0-mouse) 0.57(592.0-remote) 0.76(382.0-keyboard) 0.63(969.0-cell phone) 0.95(239.0-microwave) 0.75(588.0-oven) 0.06(18.0-toaster) 0.79(798.0-sink) 0.89(348.0-refrigerator) 0.23(2962.0-book) 0.96(660.0-clock) 0.85(711.0-vase) 0.51(221.0-scissors) 0.92(353.0-teddy bear) 0.00(0.0-hair drier) 0.20(378.0-toothbrush)
2021-11-06 19:20:40,373 - mmdet - INFO - pseudo ig: 0.56(126014.0-person) 0.30(3467.0-bicycle) 0.45(20568.0-car) 0.49(3828.0-motorcycle) 0.71(1501.0-airplane) 0.59(2731.0-bus) 0.50(2282.0-train) 0.30(4727.0-truck) 0.27(5570.0-boat) 0.28(7508.0-traffic light) 0.55(879.0-fire hydrant) 0.49(1041.0-stop sign) 0.20(695.0-parking meter) 0.18(4502.0-bench) 0.31(3332.0-bird) 0.68(2251.0-cat) 0.62(2144.0-dog) 0.51(3132.0-horse) 0.69(2591.0-sheep) 0.32(5306.0-cow) 0.80(2162.0-elephant) 0.58(668.0-bear) 0.50(3349.0-zebra) 0.67(2844.0-giraffe) 0.18(4132.0-backpack) 0.33(5636.0-umbrella) 0.13(6974.0-handbag) 0.28(3273.0-tie) 0.20(3399.0-suitcase) 0.40(1386.0-frisbee) 0.26(3185.0-skis) 0.15(1298.0-snowboard) 0.34(3088.0-sports ball) 0.31(4675.0-kite) 0.26(1588.0-baseball bat) 0.24(2248.0-baseball glove) 0.40(2399.0-skateboard) 0.35(2776.0-surfboard) 0.66(1662.0-tennis racket) 0.32(11861.0-bottle) 0.35(3205.0-wine glass) 0.28(12142.0-cup) 0.21(1834.0-fork) 0.12(4733.0-knife) 0.09(3778.0-spoon) 0.25(10358.0-bowl) 0.21(4993.0-banana) 0.13(3992.0-apple) 0.18(2723.0-sandwich) 0.27(1719.0-orange) 0.33(3473.0-broccoli) 0.16(4180.0-carrot) 0.07(860.0-hot dog) 0.47(2795.0-pizza) 0.23(3986.0-donut) 0.21(3005.0-cake) 0.19(24901.0-chair) 0.31(2750.0-couch) 0.27(4963.0-potted plant) 0.42(2068.0-bed) 0.29(8042.0-dining table) 0.59(2049.0-toilet) 0.47(2835.0-tv) 0.52(2054.0-laptop) 0.54(658.0-mouse) 0.20(2509.0-remote) 0.43(1367.0-keyboard) 0.21(3630.0-cell phone) 0.35(891.0-microwave) 0.23(2025.0-oven) 0.22(18.0-toaster) 0.37(2887.0-sink) 0.32(1272.0-refrigerator) 0.12(12147.0-book) 0.57(2719.0-clock) 0.35(2732.0-vase) 0.21(809.0-scissors) 0.62(1343.0-teddy bear) 0.00(0.0-hair drier) 0.05(1209.0-toothbrush)
2021-11-06 19:20:40,373 - mmdet - INFO - pseudo gt: 152903.0 4041.0 25971.0 5240.0 3157.0 3785.0 2666.0 5945.0 6194.0 7660.0 1146.0 1179.0 755.0 6012.0 6145.0 2839.0 3274.0 4039.0 5995.0 4805.0 3425.0 783.0 3069.0 3216.0 5307.0 6755.0 7597.0 3697.0 3801.0 1563.0 3762.0 1614.0 3881.0 5036.0 1967.0 2154.0 3229.0 3447.0 2832.0 14034.0 4405.0 12077.0 3215.0 4576.0 3547.0 8290.0 5375.0 3490.0 2461.0 3667.0 4151.0 4514.0 1662.0 3638.0 3766.0 3686.0 22607.0 3364.0 5107.0 2525.0 9280.0 2516.0 3492.0 3026.0 1369.0 3434.0 1640.0 3853.0 919.0 1850.0 126.0 3270.0 1533.0 14577.0 3635.0 3694.0 907.0 2714.0 113.0 1221.0
2021-11-06 19:20:40,373 - mmdet - INFO - pseudo mining: 25072.0 76.0 3152.0 296.0 292.0 445.0 243.0 119.0 225.0 776.0 228.0 586.0 11.0 16.0 109.0 405.0 190.0 371.0 1015.0 235.0 886.0 159.0 735.0 936.0 32.0 481.0 26.0 139.0 28.0 266.0 35.0 17.0 782.0 936.0 162.0 259.0 178.0 100.0 684.0 904.0 134.0 751.0 6.0 32.0 14.0 685.0 127.0 76.0 63.0 322.0 320.0 117.0 1.0 257.0 301.0 52.0 88.0 35.0 269.0 28.0 148.0 718.0 614.0 297.0 232.0 32.0 204.0 148.0 88.0 39.0 0.0 389.0 33.0 102.0 1493.0 57.0 5.0 303.0 0.0 0.0
2021-11-06 19:20:42,239 - mmdet - INFO - Iter [17500/40000]	lr: 2.000e-02, eta: 11:55:39, time: 1.690, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0363, loss_cls: 0.0874, acc: 96.5452, loss_bbox: 0.1726, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1557, acc_unlabeled: 91.7231, loss_bbox_unlabeled: 0.1765, losses_cls_ig_unlabeled: 0.1433, pseudo_num: 1.7087, pseudo_num_ig: 6.0986, pseudo_num_mining: 0.7179, pseudo_num(acc): 0.7440, pseudo_num ig(acc): 0.3833, loss: 0.9600
2021-11-06 19:22:07,594 - mmdet - INFO - Iter [17550/40000]	lr: 2.000e-02, eta: 11:53:51, time: 1.705, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0353, loss_cls: 0.0839, acc: 96.6936, loss_bbox: 0.1675, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1550, acc_unlabeled: 91.8715, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1398, pseudo_num: 1.7081, pseudo_num_ig: 6.0980, pseudo_num_mining: 0.7186, pseudo_num(acc): 0.7443, pseudo_num ig(acc): 0.3834, loss: 0.9477
2021-11-06 19:23:30,513 - mmdet - INFO - Iter [17600/40000]	lr: 2.000e-02, eta: 11:52:00, time: 1.660, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0352, loss_cls: 0.0821, acc: 96.7858, loss_bbox: 0.1663, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1615, acc_unlabeled: 91.8154, loss_bbox_unlabeled: 0.1779, losses_cls_ig_unlabeled: 0.1411, pseudo_num: 1.7078, pseudo_num_ig: 6.0970, pseudo_num_mining: 0.7192, pseudo_num(acc): 0.7445, pseudo_num ig(acc): 0.3835, loss: 0.9586
2021-11-06 19:24:54,499 - mmdet - INFO - Iter [17650/40000]	lr: 2.000e-02, eta: 11:50:10, time: 1.679, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0353, loss_cls: 0.0847, acc: 96.6709, loss_bbox: 0.1704, loss_rpn_cls_unlabeled: 0.0828, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1613, acc_unlabeled: 91.7927, loss_bbox_unlabeled: 0.1720, losses_cls_ig_unlabeled: 0.1398, pseudo_num: 1.7073, pseudo_num_ig: 6.0964, pseudo_num_mining: 0.7199, pseudo_num(acc): 0.7447, pseudo_num ig(acc): 0.3836, loss: 0.9551
2021-11-06 19:26:17,742 - mmdet - INFO - Iter [17700/40000]	lr: 2.000e-02, eta: 11:48:19, time: 1.664, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0371, loss_cls: 0.0906, acc: 96.4619, loss_bbox: 0.1760, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1696, acc_unlabeled: 91.6185, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1447, pseudo_num: 1.7068, pseudo_num_ig: 6.0956, pseudo_num_mining: 0.7205, pseudo_num(acc): 0.7449, pseudo_num ig(acc): 0.3836, loss: 0.9962
2021-11-06 19:27:41,673 - mmdet - INFO - Iter [17750/40000]	lr: 2.000e-02, eta: 11:46:30, time: 1.681, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0384, loss_cls: 0.0901, acc: 96.4525, loss_bbox: 0.1766, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.1021, loss_cls_unlabeled: 0.1676, acc_unlabeled: 91.4344, loss_bbox_unlabeled: 0.1817, losses_cls_ig_unlabeled: 0.1466, pseudo_num: 1.7066, pseudo_num_ig: 6.0957, pseudo_num_mining: 0.7214, pseudo_num(acc): 0.7451, pseudo_num ig(acc): 0.3837, loss: 1.0030
2021-11-06 19:29:08,955 - mmdet - INFO - Iter [17800/40000]	lr: 2.000e-02, eta: 11:44:45, time: 1.747, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0371, loss_cls: 0.0867, acc: 96.5610, loss_bbox: 0.1713, loss_rpn_cls_unlabeled: 0.0870, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1554, acc_unlabeled: 91.7445, loss_bbox_unlabeled: 0.1666, losses_cls_ig_unlabeled: 0.1443, pseudo_num: 1.7060, pseudo_num_ig: 6.0956, pseudo_num_mining: 0.7221, pseudo_num(acc): 0.7453, pseudo_num ig(acc): 0.3838, loss: 0.9552
2021-11-06 19:30:34,695 - mmdet - INFO - Iter [17850/40000]	lr: 2.000e-02, eta: 11:42:58, time: 1.714, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0365, loss_cls: 0.0855, acc: 96.6716, loss_bbox: 0.1702, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.1574, acc_unlabeled: 91.8279, loss_bbox_unlabeled: 0.1711, losses_cls_ig_unlabeled: 0.1411, pseudo_num: 1.7054, pseudo_num_ig: 6.0947, pseudo_num_mining: 0.7226, pseudo_num(acc): 0.7455, pseudo_num ig(acc): 0.3838, loss: 0.9597
2021-11-06 19:31:59,518 - mmdet - INFO - Iter [17900/40000]	lr: 2.000e-02, eta: 11:41:10, time: 1.698, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0375, loss_cls: 0.0858, acc: 96.6449, loss_bbox: 0.1708, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0982, loss_cls_unlabeled: 0.1594, acc_unlabeled: 91.6664, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1451, pseudo_num: 1.7050, pseudo_num_ig: 6.0941, pseudo_num_mining: 0.7232, pseudo_num(acc): 0.7456, pseudo_num ig(acc): 0.3838, loss: 0.9662
2021-11-06 19:33:26,078 - mmdet - INFO - Iter [17950/40000]	lr: 2.000e-02, eta: 11:39:24, time: 1.731, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0359, loss_cls: 0.0875, acc: 96.6046, loss_bbox: 0.1717, loss_rpn_cls_unlabeled: 0.0894, loss_rpn_bbox_unlabeled: 0.0983, loss_cls_unlabeled: 0.1616, acc_unlabeled: 91.6731, loss_bbox_unlabeled: 0.1811, losses_cls_ig_unlabeled: 0.1410, pseudo_num: 1.7046, pseudo_num_ig: 6.0943, pseudo_num_mining: 0.7240, pseudo_num(acc): 0.7458, pseudo_num ig(acc): 0.3839, loss: 0.9793
2021-11-06 19:34:49,903 - mmdet - INFO - pseudo pos: 0.98(34334.0-person) 0.86(961.0-bicycle) 0.92(5219.0-car) 0.98(1055.0-motorcycle) 0.98(482.0-airplane) 0.99(759.0-bus) 0.98(716.0-train) 0.68(1282.0-truck) 0.64(1422.0-boat) 0.86(1867.0-traffic light) 0.99(281.0-fire hydrant) 0.97(242.0-stop sign) 0.73(248.0-parking meter) 0.62(1222.0-bench) 0.91(1051.0-bird) 0.95(662.0-cat) 0.93(644.0-dog) 0.95(877.0-horse) 0.96(669.0-sheep) 0.83(1322.0-cow) 0.99(499.0-elephant) 0.99(184.0-bear) 0.99(939.0-zebra) 0.99(914.0-giraffe) 0.42(1136.0-backpack) 0.79(1516.0-umbrella) 0.40(1748.0-handbag) 0.84(810.0-tie) 0.67(977.0-suitcase) 0.92(330.0-frisbee) 0.53(879.0-skis) 0.19(778.0-snowboard) 0.95(751.0-sports ball) 0.74(1309.0-kite) 0.82(419.0-baseball bat) 0.80(588.0-baseball glove) 0.95(687.0-skateboard) 0.83(771.0-surfboard) 0.95(418.0-tennis racket) 0.82(2837.0-bottle) 0.91(817.0-wine glass) 0.80(3030.0-cup) 0.38(494.0-fork) 0.30(1249.0-knife) 0.26(919.0-spoon) 0.71(2692.0-bowl) 0.60(1276.0-banana) 0.31(1339.0-apple) 0.36(1500.0-sandwich) 0.36(728.0-orange) 0.67(842.0-broccoli) 0.42(1031.0-carrot) 0.03(6678.0-hot dog) 0.95(809.0-pizza) 0.67(1136.0-donut) 0.53(867.0-cake) 0.60(6425.0-chair) 0.74(793.0-couch) 0.64(1334.0-potted plant) 0.89(600.0-bed) 0.69(2685.0-dining table) 0.91(498.0-toilet) 0.94(846.0-tv) 0.97(612.0-laptop) 0.95(194.0-mouse) 0.57(606.0-remote) 0.76(389.0-keyboard) 0.63(995.0-cell phone) 0.95(247.0-microwave) 0.75(599.0-oven) 0.05(20.0-toaster) 0.79(815.0-sink) 0.89(357.0-refrigerator) 0.23(3043.0-book) 0.96(685.0-clock) 0.85(723.0-vase) 0.52(223.0-scissors) 0.92(365.0-teddy bear) 0.00(0.0-hair drier) 0.20(393.0-toothbrush)
2021-11-06 19:34:49,903 - mmdet - INFO - pseudo ig: 0.56(129835.0-person) 0.30(3563.0-bicycle) 0.45(21183.0-car) 0.49(3921.0-motorcycle) 0.71(1550.0-airplane) 0.59(2822.0-bus) 0.50(2386.0-train) 0.30(4876.0-truck) 0.27(5721.0-boat) 0.28(7699.0-traffic light) 0.55(906.0-fire hydrant) 0.50(1067.0-stop sign) 0.21(711.0-parking meter) 0.18(4627.0-bench) 0.31(3432.0-bird) 0.68(2314.0-cat) 0.62(2209.0-dog) 0.50(3271.0-horse) 0.69(2631.0-sheep) 0.32(5476.0-cow) 0.80(2214.0-elephant) 0.58(696.0-bear) 0.49(3542.0-zebra) 0.67(2902.0-giraffe) 0.18(4255.0-backpack) 0.33(5756.0-umbrella) 0.13(7156.0-handbag) 0.28(3350.0-tie) 0.20(3498.0-suitcase) 0.40(1416.0-frisbee) 0.26(3277.0-skis) 0.15(1321.0-snowboard) 0.34(3178.0-sports ball) 0.31(4782.0-kite) 0.26(1636.0-baseball bat) 0.25(2304.0-baseball glove) 0.40(2486.0-skateboard) 0.35(2848.0-surfboard) 0.66(1711.0-tennis racket) 0.32(12144.0-bottle) 0.35(3287.0-wine glass) 0.28(12487.0-cup) 0.22(1897.0-fork) 0.12(4875.0-knife) 0.09(3872.0-spoon) 0.25(10665.0-bowl) 0.21(5151.0-banana) 0.13(4180.0-apple) 0.18(2767.0-sandwich) 0.27(1753.0-orange) 0.33(3593.0-broccoli) 0.16(4304.0-carrot) 0.07(878.0-hot dog) 0.46(2890.0-pizza) 0.24(4092.0-donut) 0.21(3086.0-cake) 0.20(25609.0-chair) 0.31(2821.0-couch) 0.27(5071.0-potted plant) 0.42(2129.0-bed) 0.29(8305.0-dining table) 0.59(2111.0-toilet) 0.47(2911.0-tv) 0.52(2108.0-laptop) 0.54(674.0-mouse) 0.20(2592.0-remote) 0.43(1404.0-keyboard) 0.21(3719.0-cell phone) 0.35(911.0-microwave) 0.23(2089.0-oven) 0.20(20.0-toaster) 0.37(2956.0-sink) 0.33(1310.0-refrigerator) 0.12(12502.0-book) 0.57(2802.0-clock) 0.35(2803.0-vase) 0.21(825.0-scissors) 0.62(1373.0-teddy bear) 0.00(0.0-hair drier) 0.05(1259.0-toothbrush)
2021-11-06 19:34:49,904 - mmdet - INFO - pseudo gt: 157489.0 4140.0 26699.0 5395.0 3264.0 3900.0 2756.0 6109.0 6365.0 7825.0 1171.0 1210.0 777.0 6151.0 6382.0 2914.0 3373.0 4153.0 6191.0 5008.0 3498.0 803.0 3198.0 3292.0 5487.0 6912.0 7808.0 3844.0 3911.0 1591.0 3870.0 1668.0 4000.0 5198.0 2017.0 2215.0 3337.0 3555.0 2934.0 14424.0 4537.0 12391.0 3283.0 4723.0 3661.0 8556.0 5580.0 3629.0 2529.0 3786.0 4267.0 4663.0 1727.0 3749.0 3857.0 3820.0 23343.0 3472.0 5213.0 2603.0 9573.0 2567.0 3589.0 3100.0 1406.0 3534.0 1692.0 3957.0 950.0 1910.0 132.0 3353.0 1573.0 14999.0 3733.0 3797.0 921.0 2774.0 116.0 1265.0
2021-11-06 19:34:49,904 - mmdet - INFO - pseudo mining: 26059.0 78.0 3263.0 306.0 305.0 471.0 258.0 128.0 230.0 815.0 236.0 605.0 11.0 17.0 115.0 421.0 194.0 402.0 1044.0 249.0 904.0 167.0 775.0 965.0 33.0 494.0 29.0 143.0 29.0 276.0 35.0 17.0 809.0 970.0 167.0 274.0 193.0 103.0 715.0 935.0 142.0 791.0 7.0 34.0 15.0 722.0 129.0 77.0 68.0 330.0 329.0 134.0 1.0 267.0 318.0 53.0 90.0 39.0 280.0 29.0 152.0 745.0 642.0 311.0 239.0 34.0 220.0 154.0 89.0 41.0 0.0 406.0 38.0 108.0 1537.0 59.0 5.0 313.0 0.0 0.0
2021-11-06 19:35:44,763 - mmdet - INFO - Evaluating bbox...
2021-11-06 19:36:49,088 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.384 | bicycle      | 0.176 | car            | 0.290 |
| motorcycle    | 0.231 | airplane     | 0.314 | bus            | 0.460 |
| train         | 0.394 | truck        | 0.153 | boat           | 0.113 |
| traffic light | 0.193 | fire hydrant | 0.421 | stop sign      | 0.427 |
| parking meter | 0.283 | bench        | 0.113 | bird           | 0.165 |
| cat           | 0.356 | dog          | 0.311 | horse          | 0.361 |
| sheep         | 0.282 | cow          | 0.328 | elephant       | 0.395 |
| bear          | 0.473 | zebra        | 0.454 | giraffe        | 0.503 |
| backpack      | 0.049 | umbrella     | 0.192 | handbag        | 0.044 |
| tie           | 0.175 | suitcase     | 0.120 | frisbee        | 0.388 |
| skis          | 0.063 | snowboard    | 0.063 | sports ball    | 0.312 |
| kite          | 0.209 | baseball bat | 0.121 | baseball glove | 0.206 |
| skateboard    | 0.262 | surfboard    | 0.153 | tennis racket  | 0.251 |
| bottle        | 0.233 | wine glass   | 0.198 | cup            | 0.257 |
| fork          | 0.029 | knife        | 0.040 | spoon          | 0.025 |
| bowl          | 0.275 | banana       | 0.081 | apple          | 0.078 |
| sandwich      | 0.194 | orange       | 0.155 | broccoli       | 0.120 |
| carrot        | 0.047 | hot dog      | 0.037 | pizza          | 0.337 |
| donut         | 0.215 | cake         | 0.111 | chair          | 0.107 |
| couch         | 0.185 | potted plant | 0.098 | bed            | 0.264 |
| dining table  | 0.135 | toilet       | 0.348 | tv             | 0.384 |
| laptop        | 0.363 | mouse        | 0.422 | remote         | 0.067 |
| keyboard      | 0.264 | cell phone   | 0.176 | microwave      | 0.348 |
| oven          | 0.160 | toaster      | 0.081 | sink           | 0.154 |
| refrigerator  | 0.287 | book         | 0.026 | clock          | 0.386 |
| vase          | 0.188 | scissors     | 0.115 | teddy bear     | 0.240 |
| hair drier    | 0.000 | toothbrush   | 0.041 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 19:37:43,365 - mmdet - INFO - Evaluating bbox...
2021-11-06 19:38:48,693 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.398 | bicycle      | 0.181 | car            | 0.307 |
| motorcycle    | 0.247 | airplane     | 0.329 | bus            | 0.475 |
| train         | 0.401 | truck        | 0.160 | boat           | 0.134 |
| traffic light | 0.204 | fire hydrant | 0.472 | stop sign      | 0.438 |
| parking meter | 0.355 | bench        | 0.123 | bird           | 0.183 |
| cat           | 0.413 | dog          | 0.359 | horse          | 0.388 |
| sheep         | 0.300 | cow          | 0.349 | elephant       | 0.434 |
| bear          | 0.492 | zebra        | 0.459 | giraffe        | 0.508 |
| backpack      | 0.058 | umbrella     | 0.198 | handbag        | 0.054 |
| tie           | 0.188 | suitcase     | 0.121 | frisbee        | 0.405 |
| skis          | 0.064 | snowboard    | 0.070 | sports ball    | 0.317 |
| kite          | 0.213 | baseball bat | 0.128 | baseball glove | 0.216 |
| skateboard    | 0.281 | surfboard    | 0.178 | tennis racket  | 0.264 |
| bottle        | 0.244 | wine glass   | 0.204 | cup            | 0.262 |
| fork          | 0.044 | knife        | 0.038 | spoon          | 0.026 |
| bowl          | 0.280 | banana       | 0.089 | apple          | 0.079 |
| sandwich      | 0.206 | orange       | 0.162 | broccoli       | 0.131 |
| carrot        | 0.056 | hot dog      | 0.058 | pizza          | 0.347 |
| donut         | 0.226 | cake         | 0.111 | chair          | 0.120 |
| couch         | 0.224 | potted plant | 0.117 | bed            | 0.280 |
| dining table  | 0.143 | toilet       | 0.389 | tv             | 0.405 |
| laptop        | 0.379 | mouse        | 0.434 | remote         | 0.074 |
| keyboard      | 0.271 | cell phone   | 0.192 | microwave      | 0.361 |
| oven          | 0.175 | toaster      | 0.026 | sink           | 0.168 |
| refrigerator  | 0.330 | book         | 0.028 | clock          | 0.396 |
| vase          | 0.209 | scissors     | 0.129 | teddy bear     | 0.269 |
| hair drier    | 0.000 | toothbrush   | 0.040 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 19:40:12,828 - mmdet - INFO - current percent: 0.2
2021-11-06 19:40:12,829 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.98-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.96-parking meter) (0.91-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.96-backpack) (0.99-umbrella) (0.86-handbag) (0.99-tie) (0.96-suitcase) (0.99-frisbee) (0.96-skis) (0.85-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.98-bottle) (1.00-wine glass) (0.98-cup) (0.89-fork) (0.93-knife) (0.90-spoon) (0.99-bowl) (0.97-banana) (0.93-apple) (0.97-sandwich) (0.99-orange) (0.99-broccoli) (0.96-carrot) (0.89-hot dog) (0.99-pizza) (0.99-donut) (0.96-cake) (0.94-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (0.99-mouse) (0.96-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.98-oven) (0.22-toaster) (1.00-sink) (0.99-refrigerator) (0.92-book) (1.00-clock) (0.97-vase) (0.90-scissors) (1.00-teddy bear) (0.05-hair drier) (0.82-toothbrush)
2021-11-06 19:40:12,829 - mmdet - INFO - update score thr (ignore): (0.17-person) (0.17-bicycle) (0.32-car) (0.21-motorcycle) (0.52-airplane) (0.39-bus) (0.34-train) (0.32-truck) (0.31-boat) (0.25-traffic light) (0.34-fire hydrant) (0.75-stop sign) (0.09-parking meter) (0.17-bench) (0.10-bird) (0.57-cat) (0.32-dog) (0.28-horse) (0.45-sheep) (0.30-cow) (0.57-elephant) (0.75-bear) (0.09-zebra) (0.10-giraffe) (0.41-backpack) (0.11-umbrella) (0.20-handbag) (0.17-tie) (0.20-suitcase) (0.47-frisbee) (0.29-skis) (0.25-snowboard) (0.31-sports ball) (0.26-kite) (0.33-baseball bat) (0.53-baseball glove) (0.25-skateboard) (0.43-surfboard) (0.63-tennis racket) (0.28-bottle) (0.18-wine glass) (0.23-cup) (0.07-fork) (0.29-knife) (0.23-spoon) (0.38-bowl) (0.20-banana) (0.25-apple) (0.25-sandwich) (0.90-orange) (0.46-broccoli) (0.44-carrot) (0.37-hot dog) (0.43-pizza) (0.42-donut) (0.26-cake) (0.17-chair) (0.35-couch) (0.36-potted plant) (0.39-bed) (0.32-dining table) (0.63-toilet) (0.62-tv) (0.34-laptop) (0.68-mouse) (0.22-remote) (0.47-keyboard) (0.43-cell phone) (0.53-microwave) (0.31-oven) (0.08-toaster) (0.50-sink) (0.51-refrigerator) (0.24-book) (0.61-clock) (0.16-vase) (0.16-scissors) (0.84-teddy bear) (0.05-hair drier) (0.14-toothbrush)
2021-11-06 19:40:13,320 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 19:40:13,320 - mmdet - INFO - Iter [18000/40000]	lr: 2.000e-02, eta: 11:37:37, time: 1.711, data_time: 0.027, memory: 26488, bbox_mAP: 0.2320, bbox_mAP_50: 0.4100, bbox_mAP_75: 0.2390, bbox_mAP_s: 0.1120, bbox_mAP_m: 0.2590, bbox_mAP_l: 0.3120, bbox_mAP_copypaste: 0.232 0.410 0.239 0.112 0.259 0.312, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0381, loss_cls: 0.0872, acc: 96.5747, loss_bbox: 0.1743, loss_rpn_cls_unlabeled: 0.0845, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1564, acc_unlabeled: 91.7534, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1431, pseudo_num: 1.7041, pseudo_num_ig: 6.0939, pseudo_num_mining: 0.7248, pseudo_num(acc): 0.7460, pseudo_num ig(acc): 0.3839, loss: 0.9673
2021-11-06 19:41:37,410 - mmdet - INFO - Iter [18050/40000]	lr: 2.000e-02, eta: 11:42:20, time: 8.114, data_time: 6.463, memory: 26488, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0387, loss_cls: 0.0879, acc: 96.5800, loss_bbox: 0.1721, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0981, loss_cls_unlabeled: 0.1605, acc_unlabeled: 91.4957, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1437, pseudo_num: 1.7037, pseudo_num_ig: 6.0939, pseudo_num_mining: 0.7255, pseudo_num(acc): 0.7463, pseudo_num ig(acc): 0.3840, loss: 0.9751
2021-11-06 19:42:59,710 - mmdet - INFO - Iter [18100/40000]	lr: 2.000e-02, eta: 11:40:27, time: 1.648, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0342, loss_cls: 0.0843, acc: 96.6796, loss_bbox: 0.1693, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1494, acc_unlabeled: 92.0125, loss_bbox_unlabeled: 0.1673, losses_cls_ig_unlabeled: 0.1388, pseudo_num: 1.7031, pseudo_num_ig: 6.0933, pseudo_num_mining: 0.7261, pseudo_num(acc): 0.7465, pseudo_num ig(acc): 0.3840, loss: 0.9345
2021-11-06 19:44:22,620 - mmdet - INFO - Iter [18150/40000]	lr: 2.000e-02, eta: 11:38:35, time: 1.654, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0361, loss_cls: 0.0845, acc: 96.6783, loss_bbox: 0.1711, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1521, acc_unlabeled: 91.8824, loss_bbox_unlabeled: 0.1656, losses_cls_ig_unlabeled: 0.1429, pseudo_num: 1.7024, pseudo_num_ig: 6.0923, pseudo_num_mining: 0.7267, pseudo_num(acc): 0.7467, pseudo_num ig(acc): 0.3841, loss: 0.9393
2021-11-06 19:45:47,186 - mmdet - INFO - Iter [18200/40000]	lr: 2.000e-02, eta: 11:36:46, time: 1.693, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0354, loss_cls: 0.0833, acc: 96.7120, loss_bbox: 0.1674, loss_rpn_cls_unlabeled: 0.0916, loss_rpn_bbox_unlabeled: 0.1006, loss_cls_unlabeled: 0.1586, acc_unlabeled: 91.7067, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1403, pseudo_num: 1.7018, pseudo_num_ig: 6.0919, pseudo_num_mining: 0.7273, pseudo_num(acc): 0.7469, pseudo_num ig(acc): 0.3841, loss: 0.9629
2021-11-06 19:47:10,740 - mmdet - INFO - Iter [18250/40000]	lr: 2.000e-02, eta: 11:34:55, time: 1.674, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0368, loss_cls: 0.0848, acc: 96.6768, loss_bbox: 0.1691, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1508, acc_unlabeled: 91.9022, loss_bbox_unlabeled: 0.1648, losses_cls_ig_unlabeled: 0.1450, pseudo_num: 1.7013, pseudo_num_ig: 6.0915, pseudo_num_mining: 0.7280, pseudo_num(acc): 0.7472, pseudo_num ig(acc): 0.3842, loss: 0.9443
2021-11-06 19:48:36,675 - mmdet - INFO - Iter [18300/40000]	lr: 2.000e-02, eta: 11:33:08, time: 1.718, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0374, loss_cls: 0.0856, acc: 96.6798, loss_bbox: 0.1694, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.1023, loss_cls_unlabeled: 0.1607, acc_unlabeled: 91.5204, loss_bbox_unlabeled: 0.1749, losses_cls_ig_unlabeled: 0.1463, pseudo_num: 1.7007, pseudo_num_ig: 6.0915, pseudo_num_mining: 0.7287, pseudo_num(acc): 0.7474, pseudo_num ig(acc): 0.3842, loss: 0.9761
2021-11-06 19:51:20,318 - mmdet - INFO - Iter [18350/40000]	lr: 2.000e-02, eta: 11:32:52, time: 3.273, data_time: 0.023, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0352, loss_cls: 0.0818, acc: 96.7904, loss_bbox: 0.1655, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1584, acc_unlabeled: 91.8728, loss_bbox_unlabeled: 0.1716, losses_cls_ig_unlabeled: 0.1416, pseudo_num: 1.7003, pseudo_num_ig: 6.0913, pseudo_num_mining: 0.7293, pseudo_num(acc): 0.7476, pseudo_num ig(acc): 0.3843, loss: 0.9476
2021-11-06 19:52:46,874 - mmdet - INFO - Iter [18400/40000]	lr: 2.000e-02, eta: 11:31:05, time: 1.727, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0374, loss_cls: 0.0844, acc: 96.6780, loss_bbox: 0.1703, loss_rpn_cls_unlabeled: 0.0899, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1600, acc_unlabeled: 91.8088, loss_bbox_unlabeled: 0.1744, losses_cls_ig_unlabeled: 0.1393, pseudo_num: 1.6997, pseudo_num_ig: 6.0901, pseudo_num_mining: 0.7298, pseudo_num(acc): 0.7478, pseudo_num ig(acc): 0.3843, loss: 0.9665
2021-11-06 19:54:11,032 - mmdet - INFO - Iter [18450/40000]	lr: 2.000e-02, eta: 11:29:15, time: 1.687, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0364, loss_cls: 0.0835, acc: 96.7516, loss_bbox: 0.1674, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1574, acc_unlabeled: 91.8831, loss_bbox_unlabeled: 0.1758, losses_cls_ig_unlabeled: 0.1386, pseudo_num: 1.6994, pseudo_num_ig: 6.0898, pseudo_num_mining: 0.7305, pseudo_num(acc): 0.7480, pseudo_num ig(acc): 0.3844, loss: 0.9542
2021-11-06 19:55:35,797 - mmdet - INFO - pseudo pos: 0.98(35350.0-person) 0.86(991.0-bicycle) 0.92(5318.0-car) 0.98(1080.0-motorcycle) 0.98(490.0-airplane) 0.99(777.0-bus) 0.98(734.0-train) 0.68(1313.0-truck) 0.64(1456.0-boat) 0.86(1902.0-traffic light) 0.99(285.0-fire hydrant) 0.97(252.0-stop sign) 0.74(255.0-parking meter) 0.62(1261.0-bench) 0.91(1075.0-bird) 0.96(675.0-cat) 0.94(675.0-dog) 0.96(897.0-horse) 0.95(682.0-sheep) 0.83(1347.0-cow) 0.99(510.0-elephant) 0.99(191.0-bear) 0.99(961.0-zebra) 0.99(932.0-giraffe) 0.43(1168.0-backpack) 0.79(1560.0-umbrella) 0.40(1798.0-handbag) 0.84(830.0-tie) 0.67(1004.0-suitcase) 0.91(339.0-frisbee) 0.54(908.0-skis) 0.19(783.0-snowboard) 0.95(770.0-sports ball) 0.74(1341.0-kite) 0.82(427.0-baseball bat) 0.80(595.0-baseball glove) 0.96(714.0-skateboard) 0.83(800.0-surfboard) 0.95(427.0-tennis racket) 0.82(2904.0-bottle) 0.91(853.0-wine glass) 0.80(3110.0-cup) 0.38(501.0-fork) 0.30(1262.0-knife) 0.27(937.0-spoon) 0.71(2746.0-bowl) 0.60(1298.0-banana) 0.31(1358.0-apple) 0.37(1515.0-sandwich) 0.37(733.0-orange) 0.67(867.0-broccoli) 0.42(1041.0-carrot) 0.03(6680.0-hot dog) 0.94(836.0-pizza) 0.67(1146.0-donut) 0.52(893.0-cake) 0.61(6583.0-chair) 0.74(809.0-couch) 0.64(1368.0-potted plant) 0.90(614.0-bed) 0.69(2754.0-dining table) 0.91(508.0-toilet) 0.94(863.0-tv) 0.97(640.0-laptop) 0.95(202.0-mouse) 0.57(618.0-remote) 0.76(398.0-keyboard) 0.64(1014.0-cell phone) 0.95(253.0-microwave) 0.75(612.0-oven) 0.05(20.0-toaster) 0.79(830.0-sink) 0.89(361.0-refrigerator) 0.23(3139.0-book) 0.96(703.0-clock) 0.85(748.0-vase) 0.51(227.0-scissors) 0.92(375.0-teddy bear) 0.00(0.0-hair drier) 0.21(404.0-toothbrush)
2021-11-06 19:55:35,798 - mmdet - INFO - pseudo ig: 0.56(133548.0-person) 0.30(3665.0-bicycle) 0.45(21681.0-car) 0.49(4024.0-motorcycle) 0.71(1609.0-airplane) 0.59(2907.0-bus) 0.50(2448.0-train) 0.30(5015.0-truck) 0.27(5863.0-boat) 0.28(7857.0-traffic light) 0.55(938.0-fire hydrant) 0.50(1094.0-stop sign) 0.21(723.0-parking meter) 0.18(4772.0-bench) 0.32(3541.0-bird) 0.68(2372.0-cat) 0.62(2284.0-dog) 0.51(3344.0-horse) 0.69(2671.0-sheep) 0.32(5627.0-cow) 0.80(2288.0-elephant) 0.58(710.0-bear) 0.50(3669.0-zebra) 0.67(2981.0-giraffe) 0.18(4378.0-backpack) 0.33(5961.0-umbrella) 0.13(7329.0-handbag) 0.28(3426.0-tie) 0.20(3598.0-suitcase) 0.40(1460.0-frisbee) 0.26(3362.0-skis) 0.15(1348.0-snowboard) 0.34(3271.0-sports ball) 0.31(4991.0-kite) 0.26(1689.0-baseball bat) 0.25(2347.0-baseball glove) 0.41(2579.0-skateboard) 0.35(2913.0-surfboard) 0.66(1760.0-tennis racket) 0.32(12405.0-bottle) 0.35(3374.0-wine glass) 0.27(12786.0-cup) 0.21(1954.0-fork) 0.12(4989.0-knife) 0.10(3971.0-spoon) 0.25(10915.0-bowl) 0.22(5266.0-banana) 0.13(4272.0-apple) 0.18(2822.0-sandwich) 0.28(1775.0-orange) 0.33(3698.0-broccoli) 0.16(4405.0-carrot) 0.08(897.0-hot dog) 0.46(2955.0-pizza) 0.24(4160.0-donut) 0.21(3166.0-cake) 0.20(26254.0-chair) 0.31(2893.0-couch) 0.27(5180.0-potted plant) 0.42(2187.0-bed) 0.29(8519.0-dining table) 0.59(2167.0-toilet) 0.47(2991.0-tv) 0.52(2191.0-laptop) 0.55(698.0-mouse) 0.20(2659.0-remote) 0.43(1455.0-keyboard) 0.21(3836.0-cell phone) 0.35(937.0-microwave) 0.23(2131.0-oven) 0.18(22.0-toaster) 0.37(3037.0-sink) 0.33(1340.0-refrigerator) 0.12(12850.0-book) 0.57(2873.0-clock) 0.35(2881.0-vase) 0.21(867.0-scissors) 0.62(1396.0-teddy bear) 0.00(0.0-hair drier) 0.05(1300.0-toothbrush)
2021-11-06 19:55:35,798 - mmdet - INFO - pseudo gt: 161887.0 4264.0 27311.0 5550.0 3377.0 4006.0 2846.0 6273.0 6562.0 7971.0 1203.0 1243.0 797.0 6326.0 6562.0 2984.0 3488.0 4249.0 6270.0 5105.0 3637.0 821.0 3314.0 3375.0 5667.0 7100.0 8003.0 3950.0 4010.0 1638.0 3966.0 1712.0 4102.0 5392.0 2055.0 2260.0 3458.0 3658.0 3008.0 14750.0 4708.0 12714.0 3360.0 4874.0 3785.0 8767.0 5718.0 3761.0 2592.0 3864.0 4378.0 4788.0 1748.0 3833.0 3936.0 3924.0 24131.0 3572.0 5379.0 2670.0 9848.0 2634.0 3685.0 3223.0 1468.0 3635.0 1740.0 4054.0 979.0 1953.0 134.0 3440.0 1611.0 15431.0 3831.0 3903.0 939.0 2827.0 120.0 1305.0
2021-11-06 19:55:35,798 - mmdet - INFO - pseudo mining: 26909.0 83.0 3375.0 316.0 320.0 487.0 270.0 134.0 240.0 837.0 248.0 625.0 11.0 18.0 125.0 436.0 202.0 425.0 1060.0 264.0 945.0 173.0 821.0 1006.0 36.0 525.0 29.0 146.0 31.0 284.0 37.0 17.0 837.0 1004.0 172.0 285.0 209.0 107.0 741.0 954.0 154.0 822.0 7.0 35.0 16.0 753.0 134.0 80.0 68.0 345.0 351.0 137.0 1.0 282.0 334.0 55.0 97.0 40.0 289.0 31.0 157.0 768.0 672.0 331.0 248.0 36.0 239.0 162.0 95.0 41.0 0.0 428.0 40.0 109.0 1586.0 62.0 5.0 321.0 0.0 0.0
2021-11-06 19:55:37,266 - mmdet - INFO - Iter [18500/40000]	lr: 2.000e-02, eta: 11:27:28, time: 1.724, data_time: 0.024, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0359, loss_cls: 0.0836, acc: 96.7212, loss_bbox: 0.1658, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1612, acc_unlabeled: 91.7209, loss_bbox_unlabeled: 0.1733, losses_cls_ig_unlabeled: 0.1424, pseudo_num: 1.6990, pseudo_num_ig: 6.0893, pseudo_num_mining: 0.7311, pseudo_num(acc): 0.7482, pseudo_num ig(acc): 0.3845, loss: 0.9564
2021-11-06 19:57:01,364 - mmdet - INFO - Iter [18550/40000]	lr: 2.000e-02, eta: 11:25:38, time: 1.680, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0360, loss_cls: 0.0859, acc: 96.6172, loss_bbox: 0.1695, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0913, loss_cls_unlabeled: 0.1622, acc_unlabeled: 91.9008, loss_bbox_unlabeled: 0.1774, losses_cls_ig_unlabeled: 0.1383, pseudo_num: 1.6986, pseudo_num_ig: 6.0888, pseudo_num_mining: 0.7318, pseudo_num(acc): 0.7484, pseudo_num ig(acc): 0.3845, loss: 0.9593
2021-11-06 19:58:26,542 - mmdet - INFO - Iter [18600/40000]	lr: 2.000e-02, eta: 11:23:50, time: 1.705, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0354, loss_cls: 0.0839, acc: 96.7196, loss_bbox: 0.1674, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1586, acc_unlabeled: 91.8318, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1381, pseudo_num: 1.6984, pseudo_num_ig: 6.0889, pseudo_num_mining: 0.7325, pseudo_num(acc): 0.7487, pseudo_num ig(acc): 0.3846, loss: 0.9579
2021-11-06 19:59:51,605 - mmdet - INFO - Iter [18650/40000]	lr: 2.000e-02, eta: 11:22:02, time: 1.700, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0363, loss_cls: 0.0806, acc: 96.8376, loss_bbox: 0.1638, loss_rpn_cls_unlabeled: 0.0889, loss_rpn_bbox_unlabeled: 0.0992, loss_cls_unlabeled: 0.1544, acc_unlabeled: 91.7313, loss_bbox_unlabeled: 0.1717, losses_cls_ig_unlabeled: 0.1405, pseudo_num: 1.6980, pseudo_num_ig: 6.0886, pseudo_num_mining: 0.7332, pseudo_num(acc): 0.7489, pseudo_num ig(acc): 0.3846, loss: 0.9477
2021-11-06 20:01:15,040 - mmdet - INFO - Iter [18700/40000]	lr: 2.000e-02, eta: 11:20:11, time: 1.666, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0354, loss_cls: 0.0833, acc: 96.7347, loss_bbox: 0.1677, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1551, acc_unlabeled: 91.7892, loss_bbox_unlabeled: 0.1695, losses_cls_ig_unlabeled: 0.1388, pseudo_num: 1.6976, pseudo_num_ig: 6.0882, pseudo_num_mining: 0.7338, pseudo_num(acc): 0.7491, pseudo_num ig(acc): 0.3847, loss: 0.9406
2021-11-06 20:02:38,398 - mmdet - INFO - Iter [18750/40000]	lr: 2.000e-02, eta: 11:18:22, time: 1.670, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0360, loss_cls: 0.0852, acc: 96.6766, loss_bbox: 0.1698, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1604, acc_unlabeled: 91.8877, loss_bbox_unlabeled: 0.1751, losses_cls_ig_unlabeled: 0.1403, pseudo_num: 1.6972, pseudo_num_ig: 6.0877, pseudo_num_mining: 0.7343, pseudo_num(acc): 0.7493, pseudo_num ig(acc): 0.3847, loss: 0.9637
2021-11-06 20:04:02,662 - mmdet - INFO - Iter [18800/40000]	lr: 2.000e-02, eta: 11:16:33, time: 1.686, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0353, loss_cls: 0.0850, acc: 96.6824, loss_bbox: 0.1692, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1627, acc_unlabeled: 91.8407, loss_bbox_unlabeled: 0.1821, losses_cls_ig_unlabeled: 0.1372, pseudo_num: 1.6970, pseudo_num_ig: 6.0873, pseudo_num_mining: 0.7350, pseudo_num(acc): 0.7496, pseudo_num ig(acc): 0.3847, loss: 0.9659
2021-11-06 20:05:27,756 - mmdet - INFO - Iter [18850/40000]	lr: 2.000e-02, eta: 11:14:45, time: 1.703, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0340, loss_cls: 0.0808, acc: 96.8167, loss_bbox: 0.1651, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1584, acc_unlabeled: 91.6183, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1433, pseudo_num: 1.6968, pseudo_num_ig: 6.0873, pseudo_num_mining: 0.7357, pseudo_num(acc): 0.7498, pseudo_num ig(acc): 0.3848, loss: 0.9531
2021-11-06 20:06:53,676 - mmdet - INFO - Iter [18900/40000]	lr: 2.000e-02, eta: 11:12:59, time: 1.716, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0354, loss_cls: 0.0845, acc: 96.6885, loss_bbox: 0.1665, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1589, acc_unlabeled: 91.8276, loss_bbox_unlabeled: 0.1744, losses_cls_ig_unlabeled: 0.1409, pseudo_num: 1.6965, pseudo_num_ig: 6.0867, pseudo_num_mining: 0.7363, pseudo_num(acc): 0.7500, pseudo_num ig(acc): 0.3848, loss: 0.9541
2021-11-06 20:08:17,077 - mmdet - INFO - Iter [18950/40000]	lr: 2.000e-02, eta: 11:11:09, time: 1.671, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0352, loss_cls: 0.0823, acc: 96.7821, loss_bbox: 0.1682, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1641, acc_unlabeled: 91.6140, loss_bbox_unlabeled: 0.1740, losses_cls_ig_unlabeled: 0.1462, pseudo_num: 1.6961, pseudo_num_ig: 6.0861, pseudo_num_mining: 0.7368, pseudo_num(acc): 0.7502, pseudo_num ig(acc): 0.3849, loss: 0.9636
2021-11-06 20:09:42,478 - mmdet - INFO - pseudo pos: 0.98(36479.0-person) 0.86(1013.0-bicycle) 0.92(5432.0-car) 0.98(1117.0-motorcycle) 0.98(495.0-airplane) 0.99(793.0-bus) 0.98(753.0-train) 0.69(1344.0-truck) 0.64(1499.0-boat) 0.86(1958.0-traffic light) 0.99(292.0-fire hydrant) 0.97(264.0-stop sign) 0.73(260.0-parking meter) 0.62(1301.0-bench) 0.91(1099.0-bird) 0.96(687.0-cat) 0.94(694.0-dog) 0.96(923.0-horse) 0.95(696.0-sheep) 0.83(1368.0-cow) 0.99(531.0-elephant) 0.99(195.0-bear) 0.99(976.0-zebra) 0.99(944.0-giraffe) 0.42(1199.0-backpack) 0.79(1602.0-umbrella) 0.40(1848.0-handbag) 0.84(849.0-tie) 0.67(1037.0-suitcase) 0.91(350.0-frisbee) 0.54(933.0-skis) 0.20(788.0-snowboard) 0.95(783.0-sports ball) 0.73(1384.0-kite) 0.83(453.0-baseball bat) 0.80(614.0-baseball glove) 0.96(737.0-skateboard) 0.83(813.0-surfboard) 0.95(442.0-tennis racket) 0.82(2991.0-bottle) 0.91(865.0-wine glass) 0.80(3206.0-cup) 0.39(512.0-fork) 0.30(1293.0-knife) 0.27(956.0-spoon) 0.71(2810.0-bowl) 0.60(1318.0-banana) 0.31(1375.0-apple) 0.37(1528.0-sandwich) 0.37(740.0-orange) 0.67(882.0-broccoli) 0.42(1063.0-carrot) 0.03(6680.0-hot dog) 0.95(857.0-pizza) 0.68(1190.0-donut) 0.52(916.0-cake) 0.61(6749.0-chair) 0.75(830.0-couch) 0.64(1396.0-potted plant) 0.90(626.0-bed) 0.69(2826.0-dining table) 0.92(524.0-toilet) 0.94(888.0-tv) 0.97(666.0-laptop) 0.95(209.0-mouse) 0.58(630.0-remote) 0.76(407.0-keyboard) 0.64(1037.0-cell phone) 0.95(260.0-microwave) 0.76(634.0-oven) 0.05(21.0-toaster) 0.79(841.0-sink) 0.89(371.0-refrigerator) 0.23(3244.0-book) 0.96(720.0-clock) 0.85(762.0-vase) 0.51(229.0-scissors) 0.92(386.0-teddy bear) 0.00(0.0-hair drier) 0.21(409.0-toothbrush)
2021-11-06 20:09:42,478 - mmdet - INFO - pseudo ig: 0.56(137149.0-person) 0.30(3741.0-bicycle) 0.45(22163.0-car) 0.49(4118.0-motorcycle) 0.71(1651.0-airplane) 0.59(2965.0-bus) 0.51(2500.0-train) 0.30(5117.0-truck) 0.27(6000.0-boat) 0.28(8045.0-traffic light) 0.55(955.0-fire hydrant) 0.50(1120.0-stop sign) 0.21(739.0-parking meter) 0.18(4909.0-bench) 0.32(3637.0-bird) 0.68(2438.0-cat) 0.62(2351.0-dog) 0.51(3406.0-horse) 0.69(2755.0-sheep) 0.32(5725.0-cow) 0.80(2350.0-elephant) 0.58(725.0-bear) 0.50(3739.0-zebra) 0.67(3053.0-giraffe) 0.18(4486.0-backpack) 0.33(6137.0-umbrella) 0.13(7548.0-handbag) 0.28(3501.0-tie) 0.20(3702.0-suitcase) 0.40(1502.0-frisbee) 0.26(3433.0-skis) 0.16(1370.0-snowboard) 0.34(3380.0-sports ball) 0.30(5176.0-kite) 0.26(1759.0-baseball bat) 0.25(2422.0-baseball glove) 0.41(2656.0-skateboard) 0.35(2983.0-surfboard) 0.67(1809.0-tennis racket) 0.32(12739.0-bottle) 0.36(3442.0-wine glass) 0.28(13089.0-cup) 0.21(1996.0-fork) 0.12(5103.0-knife) 0.10(4056.0-spoon) 0.26(11216.0-bowl) 0.22(5353.0-banana) 0.13(4345.0-apple) 0.19(2897.0-sandwich) 0.28(1788.0-orange) 0.33(3754.0-broccoli) 0.16(4489.0-carrot) 0.08(902.0-hot dog) 0.46(3025.0-pizza) 0.24(4286.0-donut) 0.21(3234.0-cake) 0.20(26823.0-chair) 0.31(2980.0-couch) 0.27(5320.0-potted plant) 0.42(2250.0-bed) 0.29(8718.0-dining table) 0.59(2230.0-toilet) 0.47(3066.0-tv) 0.52(2242.0-laptop) 0.54(718.0-mouse) 0.20(2742.0-remote) 0.43(1505.0-keyboard) 0.21(3923.0-cell phone) 0.35(959.0-microwave) 0.23(2194.0-oven) 0.17(23.0-toaster) 0.37(3110.0-sink) 0.33(1362.0-refrigerator) 0.12(13165.0-book) 0.57(2939.0-clock) 0.34(2978.0-vase) 0.21(882.0-scissors) 0.62(1424.0-teddy bear) 0.00(0.0-hair drier) 0.05(1334.0-toothbrush)
2021-11-06 20:09:42,478 - mmdet - INFO - pseudo gt: 166362.0 4378.0 27921.0 5699.0 3454.0 4087.0 2909.0 6423.0 6755.0 8150.0 1233.0 1277.0 813.0 6495.0 6713.0 3068.0 3569.0 4341.0 6479.0 5177.0 3742.0 843.0 3398.0 3449.0 5829.0 7281.0 8209.0 4044.0 4099.0 1683.0 4065.0 1749.0 4219.0 5556.0 2136.0 2331.0 3576.0 3754.0 3091.0 15154.0 4815.0 13091.0 3445.0 5005.0 3892.0 9041.0 5869.0 3850.0 2669.0 3925.0 4503.0 4886.0 1814.0 3909.0 4069.0 4029.0 24821.0 3680.0 5524.0 2729.0 10089.0 2701.0 3793.0 3342.0 1510.0 3732.0 1791.0 4159.0 1007.0 2018.0 136.0 3530.0 1653.0 15889.0 3928.0 3996.0 967.0 2899.0 123.0 1333.0
2021-11-06 20:09:42,479 - mmdet - INFO - pseudo mining: 27705.0 88.0 3483.0 326.0 337.0 503.0 280.0 138.0 249.0 864.0 255.0 638.0 11.0 18.0 129.0 460.0 207.0 446.0 1083.0 278.0 976.0 181.0 849.0 1043.0 41.0 541.0 30.0 149.0 32.0 297.0 38.0 17.0 883.0 1039.0 183.0 294.0 217.0 116.0 777.0 980.0 162.0 857.0 7.0 37.0 17.0 786.0 138.0 81.0 70.0 353.0 364.0 139.0 1.0 289.0 356.0 56.0 101.0 44.0 309.0 32.0 164.0 792.0 698.0 340.0 255.0 45.0 255.0 170.0 100.0 44.0 0.0 449.0 43.0 114.0 1629.0 67.0 5.0 334.0 0.0 0.0
2021-11-06 20:11:08,984 - mmdet - INFO - current percent: 0.2
2021-11-06 20:11:08,985 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (0.99-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.97-boat) (0.97-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.95-parking meter) (0.91-bench) (0.98-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.97-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (0.99-umbrella) (0.87-handbag) (0.98-tie) (0.89-suitcase) (0.99-frisbee) (0.97-skis) (0.88-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.98-bottle) (0.99-wine glass) (0.98-cup) (0.97-fork) (0.94-knife) (0.92-spoon) (0.98-bowl) (0.96-banana) (0.93-apple) (0.99-sandwich) (0.99-orange) (0.99-broccoli) (0.96-carrot) (0.61-hot dog) (0.99-pizza) (0.98-donut) (0.96-cake) (0.93-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.93-remote) (1.00-keyboard) (0.98-cell phone) (0.98-microwave) (0.99-oven) (0.18-toaster) (0.99-sink) (0.99-refrigerator) (0.93-book) (1.00-clock) (0.96-vase) (0.85-scissors) (1.00-teddy bear) (0.05-hair drier) (0.76-toothbrush)
2021-11-06 20:11:08,985 - mmdet - INFO - update score thr (ignore): (0.19-person) (0.11-bicycle) (0.32-car) (0.13-motorcycle) (0.64-airplane) (0.39-bus) (0.35-train) (0.30-truck) (0.25-boat) (0.22-traffic light) (0.35-fire hydrant) (0.75-stop sign) (0.07-parking meter) (0.20-bench) (0.11-bird) (0.54-cat) (0.53-dog) (0.28-horse) (0.75-sheep) (0.31-cow) (0.82-elephant) (0.53-bear) (0.05-zebra) (0.09-giraffe) (0.32-backpack) (0.13-umbrella) (0.20-handbag) (0.18-tie) (0.14-suitcase) (0.54-frisbee) (0.24-skis) (0.17-snowboard) (0.28-sports ball) (0.40-kite) (0.40-baseball bat) (0.56-baseball glove) (0.41-skateboard) (0.31-surfboard) (0.62-tennis racket) (0.29-bottle) (0.11-wine glass) (0.22-cup) (0.10-fork) (0.32-knife) (0.25-spoon) (0.32-bowl) (0.15-banana) (0.18-apple) (0.50-sandwich) (0.52-orange) (0.38-broccoli) (0.42-carrot) (0.19-hot dog) (0.34-pizza) (0.35-donut) (0.23-cake) (0.13-chair) (0.39-couch) (0.30-potted plant) (0.36-bed) (0.28-dining table) (0.47-toilet) (0.54-tv) (0.31-laptop) (0.75-mouse) (0.20-remote) (0.56-keyboard) (0.35-cell phone) (0.34-microwave) (0.25-oven) (0.06-toaster) (0.30-sink) (0.28-refrigerator) (0.22-book) (0.74-clock) (0.17-vase) (0.12-scissors) (0.67-teddy bear) (0.05-hair drier) (0.09-toothbrush)
2021-11-06 20:11:09,255 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 20:11:09,255 - mmdet - INFO - Iter [19000/40000]	lr: 2.000e-02, eta: 11:09:24, time: 1.740, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0350, loss_cls: 0.0848, acc: 96.6763, loss_bbox: 0.1674, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1611, acc_unlabeled: 91.7203, loss_bbox_unlabeled: 0.1749, losses_cls_ig_unlabeled: 0.1405, pseudo_num: 1.6957, pseudo_num_ig: 6.0861, pseudo_num_mining: 0.7374, pseudo_num(acc): 0.7504, pseudo_num ig(acc): 0.3850, loss: 0.9559
2021-11-06 20:12:33,501 - mmdet - INFO - Iter [19050/40000]	lr: 2.000e-02, eta: 11:09:10, time: 3.388, data_time: 1.728, memory: 26488, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0354, loss_cls: 0.0848, acc: 96.6639, loss_bbox: 0.1729, loss_rpn_cls_unlabeled: 0.0931, loss_rpn_bbox_unlabeled: 0.1014, loss_cls_unlabeled: 0.1641, acc_unlabeled: 91.4659, loss_bbox_unlabeled: 0.1801, losses_cls_ig_unlabeled: 0.1459, pseudo_num: 1.6955, pseudo_num_ig: 6.0859, pseudo_num_mining: 0.7381, pseudo_num(acc): 0.7506, pseudo_num ig(acc): 0.3850, loss: 0.9899
2021-11-06 20:13:57,482 - mmdet - INFO - Iter [19100/40000]	lr: 2.000e-02, eta: 11:07:21, time: 1.677, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0344, loss_cls: 0.0799, acc: 96.8630, loss_bbox: 0.1638, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0982, loss_cls_unlabeled: 0.1566, acc_unlabeled: 91.8312, loss_bbox_unlabeled: 0.1725, losses_cls_ig_unlabeled: 0.1377, pseudo_num: 1.6952, pseudo_num_ig: 6.0859, pseudo_num_mining: 0.7387, pseudo_num(acc): 0.7508, pseudo_num ig(acc): 0.3850, loss: 0.9449
2021-11-06 20:15:22,470 - mmdet - INFO - Iter [19150/40000]	lr: 2.000e-02, eta: 11:05:33, time: 1.702, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0358, loss_cls: 0.0820, acc: 96.7740, loss_bbox: 0.1661, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1631, acc_unlabeled: 91.5190, loss_bbox_unlabeled: 0.1818, losses_cls_ig_unlabeled: 0.1446, pseudo_num: 1.6949, pseudo_num_ig: 6.0861, pseudo_num_mining: 0.7393, pseudo_num(acc): 0.7510, pseudo_num ig(acc): 0.3850, loss: 0.9687
2021-11-06 20:16:46,770 - mmdet - INFO - Iter [19200/40000]	lr: 2.000e-02, eta: 11:03:45, time: 1.688, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0334, loss_cls: 0.0783, acc: 96.9215, loss_bbox: 0.1600, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1523, acc_unlabeled: 91.8083, loss_bbox_unlabeled: 0.1700, losses_cls_ig_unlabeled: 0.1395, pseudo_num: 1.6945, pseudo_num_ig: 6.0859, pseudo_num_mining: 0.7400, pseudo_num(acc): 0.7512, pseudo_num ig(acc): 0.3851, loss: 0.9262
2021-11-06 20:18:10,814 - mmdet - INFO - Iter [19250/40000]	lr: 2.000e-02, eta: 11:01:57, time: 1.678, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0363, loss_cls: 0.0828, acc: 96.7729, loss_bbox: 0.1660, loss_rpn_cls_unlabeled: 0.0893, loss_rpn_bbox_unlabeled: 0.0998, loss_cls_unlabeled: 0.1636, acc_unlabeled: 91.3573, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1442, pseudo_num: 1.6939, pseudo_num_ig: 6.0857, pseudo_num_mining: 0.7407, pseudo_num(acc): 0.7513, pseudo_num ig(acc): 0.3851, loss: 0.9717
2021-11-06 20:19:36,231 - mmdet - INFO - Iter [19300/40000]	lr: 2.000e-02, eta: 11:00:10, time: 1.709, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0364, loss_cls: 0.0840, acc: 96.7114, loss_bbox: 0.1665, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0967, loss_cls_unlabeled: 0.1575, acc_unlabeled: 91.6805, loss_bbox_unlabeled: 0.1716, losses_cls_ig_unlabeled: 0.1403, pseudo_num: 1.6936, pseudo_num_ig: 6.0858, pseudo_num_mining: 0.7413, pseudo_num(acc): 0.7515, pseudo_num ig(acc): 0.3851, loss: 0.9522
2021-11-06 20:21:01,290 - mmdet - INFO - Iter [19350/40000]	lr: 2.000e-02, eta: 10:58:23, time: 1.697, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0352, loss_cls: 0.0814, acc: 96.8091, loss_bbox: 0.1644, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1509, acc_unlabeled: 91.7627, loss_bbox_unlabeled: 0.1686, losses_cls_ig_unlabeled: 0.1404, pseudo_num: 1.6932, pseudo_num_ig: 6.0855, pseudo_num_mining: 0.7418, pseudo_num(acc): 0.7517, pseudo_num ig(acc): 0.3851, loss: 0.9347
2021-11-06 20:22:24,884 - mmdet - INFO - Iter [19400/40000]	lr: 2.000e-02, eta: 10:56:35, time: 1.677, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0349, loss_cls: 0.0829, acc: 96.7617, loss_bbox: 0.1646, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1664, acc_unlabeled: 91.4735, loss_bbox_unlabeled: 0.1822, losses_cls_ig_unlabeled: 0.1432, pseudo_num: 1.6929, pseudo_num_ig: 6.0853, pseudo_num_mining: 0.7424, pseudo_num(acc): 0.7519, pseudo_num ig(acc): 0.3852, loss: 0.9694
2021-11-06 20:23:50,608 - mmdet - INFO - Iter [19450/40000]	lr: 2.000e-02, eta: 10:54:49, time: 1.714, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0357, loss_cls: 0.0827, acc: 96.7638, loss_bbox: 0.1660, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.1004, loss_cls_unlabeled: 0.1544, acc_unlabeled: 91.5757, loss_bbox_unlabeled: 0.1735, losses_cls_ig_unlabeled: 0.1432, pseudo_num: 1.6926, pseudo_num_ig: 6.0858, pseudo_num_mining: 0.7430, pseudo_num(acc): 0.7521, pseudo_num ig(acc): 0.3852, loss: 0.9526
2021-11-06 20:25:12,619 - mmdet - INFO - pseudo pos: 0.98(37429.0-person) 0.86(1041.0-bicycle) 0.92(5561.0-car) 0.98(1152.0-motorcycle) 0.98(507.0-airplane) 0.99(819.0-bus) 0.98(765.0-train) 0.68(1367.0-truck) 0.64(1546.0-boat) 0.86(2007.0-traffic light) 0.99(295.0-fire hydrant) 0.97(275.0-stop sign) 0.73(268.0-parking meter) 0.62(1349.0-bench) 0.92(1132.0-bird) 0.96(702.0-cat) 0.94(704.0-dog) 0.96(947.0-horse) 0.95(723.0-sheep) 0.83(1397.0-cow) 0.99(539.0-elephant) 1.00(206.0-bear) 0.99(995.0-zebra) 0.99(976.0-giraffe) 0.43(1223.0-backpack) 0.79(1635.0-umbrella) 0.41(1895.0-handbag) 0.84(884.0-tie) 0.67(1072.0-suitcase) 0.91(363.0-frisbee) 0.54(967.0-skis) 0.20(793.0-snowboard) 0.95(809.0-sports ball) 0.73(1433.0-kite) 0.83(465.0-baseball bat) 0.81(625.0-baseball glove) 0.96(749.0-skateboard) 0.83(821.0-surfboard) 0.95(452.0-tennis racket) 0.82(3056.0-bottle) 0.91(885.0-wine glass) 0.80(3312.0-cup) 0.39(518.0-fork) 0.30(1312.0-knife) 0.27(978.0-spoon) 0.71(2885.0-bowl) 0.61(1351.0-banana) 0.31(1418.0-apple) 0.37(1539.0-sandwich) 0.37(747.0-orange) 0.67(901.0-broccoli) 0.42(1098.0-carrot) 0.03(6686.0-hot dog) 0.94(870.0-pizza) 0.69(1243.0-donut) 0.53(940.0-cake) 0.61(6913.0-chair) 0.75(849.0-couch) 0.64(1425.0-potted plant) 0.89(643.0-bed) 0.69(2895.0-dining table) 0.91(538.0-toilet) 0.94(910.0-tv) 0.97(683.0-laptop) 0.95(214.0-mouse) 0.58(647.0-remote) 0.75(414.0-keyboard) 0.64(1060.0-cell phone) 0.95(271.0-microwave) 0.75(653.0-oven) 0.05(22.0-toaster) 0.79(863.0-sink) 0.90(381.0-refrigerator) 0.23(3311.0-book) 0.96(754.0-clock) 0.85(783.0-vase) 0.51(243.0-scissors) 0.93(388.0-teddy bear) 0.00(0.0-hair drier) 0.21(423.0-toothbrush)
2021-11-06 20:25:12,619 - mmdet - INFO - pseudo ig: 0.56(140594.0-person) 0.30(3860.0-bicycle) 0.45(22770.0-car) 0.49(4249.0-motorcycle) 0.71(1693.0-airplane) 0.60(3052.0-bus) 0.51(2575.0-train) 0.30(5240.0-truck) 0.27(6140.0-boat) 0.28(8235.0-traffic light) 0.55(988.0-fire hydrant) 0.50(1150.0-stop sign) 0.21(765.0-parking meter) 0.18(5033.0-bench) 0.32(3728.0-bird) 0.68(2493.0-cat) 0.62(2399.0-dog) 0.51(3481.0-horse) 0.70(2883.0-sheep) 0.32(5841.0-cow) 0.80(2400.0-elephant) 0.59(746.0-bear) 0.50(3820.0-zebra) 0.67(3122.0-giraffe) 0.18(4593.0-backpack) 0.33(6281.0-umbrella) 0.13(7721.0-handbag) 0.28(3603.0-tie) 0.20(3783.0-suitcase) 0.40(1538.0-frisbee) 0.26(3552.0-skis) 0.16(1402.0-snowboard) 0.34(3481.0-sports ball) 0.31(5380.0-kite) 0.26(1807.0-baseball bat) 0.25(2486.0-baseball glove) 0.42(2717.0-skateboard) 0.35(3061.0-surfboard) 0.67(1858.0-tennis racket) 0.32(13109.0-bottle) 0.36(3595.0-wine glass) 0.28(13433.0-cup) 0.21(2047.0-fork) 0.12(5244.0-knife) 0.10(4160.0-spoon) 0.26(11521.0-bowl) 0.22(5483.0-banana) 0.13(4472.0-apple) 0.19(2955.0-sandwich) 0.28(1830.0-orange) 0.33(3832.0-broccoli) 0.16(4595.0-carrot) 0.09(927.0-hot dog) 0.46(3091.0-pizza) 0.24(4415.0-donut) 0.21(3344.0-cake) 0.20(27518.0-chair) 0.31(3062.0-couch) 0.27(5456.0-potted plant) 0.42(2313.0-bed) 0.29(8988.0-dining table) 0.58(2298.0-toilet) 0.47(3147.0-tv) 0.52(2310.0-laptop) 0.54(736.0-mouse) 0.20(2819.0-remote) 0.43(1545.0-keyboard) 0.21(4024.0-cell phone) 0.35(984.0-microwave) 0.23(2255.0-oven) 0.15(26.0-toaster) 0.37(3191.0-sink) 0.33(1414.0-refrigerator) 0.12(13479.0-book) 0.57(3014.0-clock) 0.34(3062.0-vase) 0.21(931.0-scissors) 0.62(1474.0-teddy bear) 0.00(0.0-hair drier) 0.05(1375.0-toothbrush)
2021-11-06 20:25:12,748 - mmdet - INFO - pseudo gt: 170697.0 4500.0 28650.0 5844.0 3557.0 4204.0 2976.0 6571.0 6943.0 8315.0 1274.0 1318.0 841.0 6648.0 6905.0 3142.0 3637.0 4448.0 6678.0 5294.0 3838.0 872.0 3467.0 3539.0 5970.0 7433.0 8391.0 4173.0 4181.0 1734.0 4231.0 1776.0 4327.0 5801.0 2191.0 2391.0 3696.0 3850.0 3161.0 15603.0 5007.0 13517.0 3564.0 5144.0 4014.0 9307.0 6028.0 3975.0 2744.0 4029.0 4622.0 5063.0 1860.0 3995.0 4188.0 4134.0 25464.0 3794.0 5696.0 2794.0 10362.0 2774.0 3908.0 3424.0 1543.0 3838.0 1828.0 4280.0 1037.0 2074.0 140.0 3629.0 1682.0 16273.0 4063.0 4107.0 993.0 2967.0 126.0 1364.0
2021-11-06 20:25:12,748 - mmdet - INFO - pseudo mining: 28572.0 93.0 3617.0 335.0 350.0 528.0 297.0 143.0 261.0 877.0 269.0 654.0 11.0 18.0 133.0 480.0 217.0 467.0 1153.0 281.0 1008.0 190.0 877.0 1070.0 42.0 550.0 31.0 154.0 32.0 309.0 42.0 17.0 916.0 1111.0 191.0 309.0 231.0 120.0 809.0 1020.0 171.0 896.0 9.0 38.0 18.0 817.0 142.0 83.0 74.0 371.0 381.0 141.0 1.0 303.0 370.0 64.0 108.0 46.0 328.0 38.0 172.0 817.0 720.0 356.0 262.0 46.0 272.0 180.0 104.0 47.0 0.0 461.0 43.0 117.0 1683.0 69.0 5.0 349.0 0.0 0.0
2021-11-06 20:25:14,633 - mmdet - INFO - Iter [19500/40000]	lr: 2.000e-02, eta: 10:53:01, time: 1.676, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0343, loss_cls: 0.0794, acc: 96.8704, loss_bbox: 0.1614, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1545, acc_unlabeled: 91.8040, loss_bbox_unlabeled: 0.1668, losses_cls_ig_unlabeled: 0.1401, pseudo_num: 1.6921, pseudo_num_ig: 6.0852, pseudo_num_mining: 0.7435, pseudo_num(acc): 0.7522, pseudo_num ig(acc): 0.3852, loss: 0.9304
2021-11-06 20:26:39,682 - mmdet - INFO - Iter [19550/40000]	lr: 2.000e-02, eta: 10:51:14, time: 1.703, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0359, loss_cls: 0.0835, acc: 96.7385, loss_bbox: 0.1645, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1599, acc_unlabeled: 91.6516, loss_bbox_unlabeled: 0.1736, losses_cls_ig_unlabeled: 0.1405, pseudo_num: 1.6917, pseudo_num_ig: 6.0850, pseudo_num_mining: 0.7442, pseudo_num(acc): 0.7524, pseudo_num ig(acc): 0.3853, loss: 0.9510
2021-11-06 20:28:04,201 - mmdet - INFO - Iter [19600/40000]	lr: 2.000e-02, eta: 10:49:27, time: 1.694, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0330, loss_cls: 0.0812, acc: 96.8037, loss_bbox: 0.1609, loss_rpn_cls_unlabeled: 0.0812, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1551, acc_unlabeled: 91.8107, loss_bbox_unlabeled: 0.1698, losses_cls_ig_unlabeled: 0.1361, pseudo_num: 1.6913, pseudo_num_ig: 6.0849, pseudo_num_mining: 0.7448, pseudo_num(acc): 0.7526, pseudo_num ig(acc): 0.3853, loss: 0.9198
2021-11-06 20:29:28,866 - mmdet - INFO - Iter [19650/40000]	lr: 2.000e-02, eta: 10:47:40, time: 1.690, data_time: 0.023, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0349, loss_cls: 0.0806, acc: 96.8350, loss_bbox: 0.1614, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1656, acc_unlabeled: 91.5835, loss_bbox_unlabeled: 0.1767, losses_cls_ig_unlabeled: 0.1421, pseudo_num: 1.6908, pseudo_num_ig: 6.0841, pseudo_num_mining: 0.7453, pseudo_num(acc): 0.7528, pseudo_num ig(acc): 0.3853, loss: 0.9551
2021-11-06 20:30:53,214 - mmdet - INFO - Iter [19700/40000]	lr: 2.000e-02, eta: 10:45:53, time: 1.686, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0358, loss_cls: 0.0843, acc: 96.6696, loss_bbox: 0.1685, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0957, loss_cls_unlabeled: 0.1616, acc_unlabeled: 91.5769, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1425, pseudo_num: 1.6904, pseudo_num_ig: 6.0842, pseudo_num_mining: 0.7460, pseudo_num(acc): 0.7529, pseudo_num ig(acc): 0.3854, loss: 0.9637
2021-11-06 20:32:19,201 - mmdet - INFO - Iter [19750/40000]	lr: 2.000e-02, eta: 10:44:08, time: 1.721, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0344, loss_cls: 0.0822, acc: 96.7700, loss_bbox: 0.1652, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1573, acc_unlabeled: 91.6212, loss_bbox_unlabeled: 0.1697, losses_cls_ig_unlabeled: 0.1442, pseudo_num: 1.6901, pseudo_num_ig: 6.0840, pseudo_num_mining: 0.7465, pseudo_num(acc): 0.7530, pseudo_num ig(acc): 0.3854, loss: 0.9425
2021-11-06 20:33:44,285 - mmdet - INFO - Iter [19800/40000]	lr: 2.000e-02, eta: 10:42:22, time: 1.704, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0364, loss_cls: 0.0833, acc: 96.7565, loss_bbox: 0.1684, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0993, loss_cls_unlabeled: 0.1575, acc_unlabeled: 91.6694, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1408, pseudo_num: 1.6898, pseudo_num_ig: 6.0841, pseudo_num_mining: 0.7471, pseudo_num(acc): 0.7532, pseudo_num ig(acc): 0.3854, loss: 0.9568
2021-11-06 20:35:09,627 - mmdet - INFO - Iter [19850/40000]	lr: 2.000e-02, eta: 10:40:37, time: 1.707, data_time: 0.023, memory: 26488, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0358, loss_cls: 0.0827, acc: 96.7682, loss_bbox: 0.1688, loss_rpn_cls_unlabeled: 0.0864, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1579, acc_unlabeled: 91.7035, loss_bbox_unlabeled: 0.1724, losses_cls_ig_unlabeled: 0.1398, pseudo_num: 1.6895, pseudo_num_ig: 6.0839, pseudo_num_mining: 0.7477, pseudo_num(acc): 0.7534, pseudo_num ig(acc): 0.3854, loss: 0.9533
2021-11-06 20:36:35,031 - mmdet - INFO - Iter [19900/40000]	lr: 2.000e-02, eta: 10:38:51, time: 1.705, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0364, loss_cls: 0.0828, acc: 96.7230, loss_bbox: 0.1662, loss_rpn_cls_unlabeled: 0.0888, loss_rpn_bbox_unlabeled: 0.0995, loss_cls_unlabeled: 0.1543, acc_unlabeled: 91.7611, loss_bbox_unlabeled: 0.1720, losses_cls_ig_unlabeled: 0.1363, pseudo_num: 1.6891, pseudo_num_ig: 6.0836, pseudo_num_mining: 0.7482, pseudo_num(acc): 0.7535, pseudo_num ig(acc): 0.3855, loss: 0.9482
2021-11-06 20:37:58,570 - mmdet - INFO - Iter [19950/40000]	lr: 2.000e-02, eta: 10:37:04, time: 1.674, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0341, loss_cls: 0.0817, acc: 96.7992, loss_bbox: 0.1645, loss_rpn_cls_unlabeled: 0.0858, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1576, acc_unlabeled: 91.6084, loss_bbox_unlabeled: 0.1791, losses_cls_ig_unlabeled: 0.1444, pseudo_num: 1.6889, pseudo_num_ig: 6.0836, pseudo_num_mining: 0.7487, pseudo_num(acc): 0.7537, pseudo_num ig(acc): 0.3855, loss: 0.9557
2021-11-06 20:39:22,644 - mmdet - INFO - pseudo pos: 0.98(38413.0-person) 0.86(1068.0-bicycle) 0.92(5726.0-car) 0.98(1193.0-motorcycle) 0.98(519.0-airplane) 0.99(857.0-bus) 0.98(781.0-train) 0.69(1402.0-truck) 0.64(1593.0-boat) 0.86(2081.0-traffic light) 0.99(304.0-fire hydrant) 0.96(278.0-stop sign) 0.74(274.0-parking meter) 0.62(1394.0-bench) 0.92(1157.0-bird) 0.96(716.0-cat) 0.94(716.0-dog) 0.96(967.0-horse) 0.96(745.0-sheep) 0.83(1441.0-cow) 0.99(553.0-elephant) 1.00(209.0-bear) 0.99(1019.0-zebra) 0.99(1009.0-giraffe) 0.43(1246.0-backpack) 0.79(1669.0-umbrella) 0.41(1938.0-handbag) 0.84(906.0-tie) 0.67(1109.0-suitcase) 0.91(373.0-frisbee) 0.54(985.0-skis) 0.20(803.0-snowboard) 0.95(831.0-sports ball) 0.73(1459.0-kite) 0.83(476.0-baseball bat) 0.81(632.0-baseball glove) 0.96(769.0-skateboard) 0.83(839.0-surfboard) 0.95(459.0-tennis racket) 0.82(3131.0-bottle) 0.91(897.0-wine glass) 0.80(3396.0-cup) 0.39(524.0-fork) 0.30(1332.0-knife) 0.27(1003.0-spoon) 0.71(3001.0-bowl) 0.60(1385.0-banana) 0.32(1437.0-apple) 0.38(1549.0-sandwich) 0.38(762.0-orange) 0.67(927.0-broccoli) 0.42(1124.0-carrot) 0.03(6696.0-hot dog) 0.95(888.0-pizza) 0.69(1262.0-donut) 0.52(966.0-cake) 0.61(7083.0-chair) 0.75(859.0-couch) 0.64(1454.0-potted plant) 0.90(659.0-bed) 0.68(2960.0-dining table) 0.92(547.0-toilet) 0.94(923.0-tv) 0.97(707.0-laptop) 0.95(215.0-mouse) 0.58(658.0-remote) 0.75(420.0-keyboard) 0.65(1085.0-cell phone) 0.95(282.0-microwave) 0.76(673.0-oven) 0.19(27.0-toaster) 0.79(898.0-sink) 0.90(396.0-refrigerator) 0.23(3373.0-book) 0.96(767.0-clock) 0.86(805.0-vase) 0.50(255.0-scissors) 0.92(397.0-teddy bear) 0.00(0.0-hair drier) 0.21(430.0-toothbrush)
2021-11-06 20:39:22,645 - mmdet - INFO - pseudo ig: 0.56(144186.0-person) 0.30(3996.0-bicycle) 0.45(23372.0-car) 0.48(4396.0-motorcycle) 0.72(1724.0-airplane) 0.59(3133.0-bus) 0.51(2628.0-train) 0.30(5370.0-truck) 0.27(6339.0-boat) 0.28(8459.0-traffic light) 0.56(1018.0-fire hydrant) 0.50(1179.0-stop sign) 0.20(784.0-parking meter) 0.18(5149.0-bench) 0.32(3795.0-bird) 0.68(2557.0-cat) 0.62(2452.0-dog) 0.51(3589.0-horse) 0.70(2955.0-sheep) 0.32(5991.0-cow) 0.80(2461.0-elephant) 0.59(771.0-bear) 0.51(3926.0-zebra) 0.67(3184.0-giraffe) 0.18(4735.0-backpack) 0.33(6451.0-umbrella) 0.13(7923.0-handbag) 0.28(3699.0-tie) 0.20(3923.0-suitcase) 0.41(1563.0-frisbee) 0.26(3645.0-skis) 0.16(1441.0-snowboard) 0.34(3570.0-sports ball) 0.31(5526.0-kite) 0.26(1847.0-baseball bat) 0.25(2538.0-baseball glove) 0.42(2770.0-skateboard) 0.35(3147.0-surfboard) 0.67(1920.0-tennis racket) 0.32(13489.0-bottle) 0.36(3670.0-wine glass) 0.28(13786.0-cup) 0.22(2073.0-fork) 0.12(5354.0-knife) 0.10(4255.0-spoon) 0.26(11918.0-bowl) 0.22(5669.0-banana) 0.13(4590.0-apple) 0.19(2986.0-sandwich) 0.28(1872.0-orange) 0.33(3958.0-broccoli) 0.16(4737.0-carrot) 0.09(964.0-hot dog) 0.46(3159.0-pizza) 0.24(4537.0-donut) 0.21(3432.0-cake) 0.20(28234.0-chair) 0.32(3130.0-couch) 0.27(5591.0-potted plant) 0.42(2357.0-bed) 0.29(9221.0-dining table) 0.58(2352.0-toilet) 0.47(3219.0-tv) 0.52(2391.0-laptop) 0.54(760.0-mouse) 0.20(2874.0-remote) 0.43(1584.0-keyboard) 0.21(4139.0-cell phone) 0.35(1017.0-microwave) 0.23(2346.0-oven) 0.11(35.0-toaster) 0.36(3290.0-sink) 0.32(1474.0-refrigerator) 0.12(13771.0-book) 0.58(3080.0-clock) 0.34(3154.0-vase) 0.21(975.0-scissors) 0.62(1511.0-teddy bear) 0.00(0.0-hair drier) 0.05(1402.0-toothbrush)
2021-11-06 20:39:22,646 - mmdet - INFO - pseudo gt: 175130.0 4669.0 29400.0 6022.0 3615.0 4332.0 3038.0 6754.0 7180.0 8526.0 1307.0 1354.0 866.0 6813.0 7101.0 3224.0 3732.0 4561.0 6816.0 5431.0 3954.0 896.0 3566.0 3615.0 6120.0 7620.0 8627.0 4307.0 4304.0 1774.0 4325.0 1826.0 4406.0 5926.0 2246.0 2436.0 3775.0 3967.0 3237.0 15986.0 5097.0 13865.0 3649.0 5296.0 4136.0 9605.0 6257.0 4035.0 2827.0 4168.0 4740.0 5237.0 1920.0 4083.0 4299.0 4212.0 26098.0 3881.0 5827.0 2856.0 10594.0 2827.0 3997.0 3530.0 1579.0 3913.0 1865.0 4393.0 1075.0 2143.0 148.0 3731.0 1732.0 16567.0 4185.0 4245.0 1035.0 3026.0 133.0 1390.0
2021-11-06 20:39:22,646 - mmdet - INFO - pseudo mining: 29496.0 99.0 3746.0 343.0 360.0 548.0 308.0 149.0 277.0 895.0 278.0 677.0 11.0 18.0 139.0 498.0 228.0 490.0 1200.0 294.0 1045.0 197.0 910.0 1088.0 43.0 561.0 31.0 160.0 33.0 315.0 45.0 17.0 935.0 1158.0 194.0 322.0 251.0 129.0 849.0 1057.0 175.0 926.0 9.0 39.0 20.0 859.0 147.0 85.0 76.0 389.0 399.0 147.0 1.0 311.0 391.0 66.0 113.0 51.0 343.0 38.0 181.0 844.0 746.0 373.0 271.0 48.0 281.0 188.0 110.0 48.0 0.0 474.0 46.0 119.0 1737.0 71.0 5.0 358.0 0.0 0.0
2021-11-06 20:39:24,357 - mmdet - INFO - Saving checkpoint at 20000 iterations
2021-11-06 20:40:15,559 - mmdet - INFO - Evaluating bbox...
2021-11-06 20:41:18,753 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.385 | bicycle      | 0.153 | car            | 0.294 |
| motorcycle    | 0.225 | airplane     | 0.328 | bus            | 0.465 |
| train         | 0.382 | truck        | 0.133 | boat           | 0.126 |
| traffic light | 0.195 | fire hydrant | 0.457 | stop sign      | 0.461 |
| parking meter | 0.336 | bench        | 0.115 | bird           | 0.155 |
| cat           | 0.394 | dog          | 0.341 | horse          | 0.374 |
| sheep         | 0.263 | cow          | 0.315 | elephant       | 0.422 |
| bear          | 0.423 | zebra        | 0.436 | giraffe        | 0.491 |
| backpack      | 0.051 | umbrella     | 0.181 | handbag        | 0.049 |
| tie           | 0.185 | suitcase     | 0.100 | frisbee        | 0.395 |
| skis          | 0.080 | snowboard    | 0.051 | sports ball    | 0.315 |
| kite          | 0.202 | baseball bat | 0.117 | baseball glove | 0.206 |
| skateboard    | 0.261 | surfboard    | 0.179 | tennis racket  | 0.271 |
| bottle        | 0.241 | wine glass   | 0.196 | cup            | 0.245 |
| fork          | 0.042 | knife        | 0.032 | spoon          | 0.025 |
| bowl          | 0.259 | banana       | 0.077 | apple          | 0.076 |
| sandwich      | 0.183 | orange       | 0.145 | broccoli       | 0.126 |
| carrot        | 0.048 | hot dog      | 0.063 | pizza          | 0.331 |
| donut         | 0.223 | cake         | 0.095 | chair          | 0.117 |
| couch         | 0.215 | potted plant | 0.109 | bed            | 0.285 |
| dining table  | 0.133 | toilet       | 0.385 | tv             | 0.379 |
| laptop        | 0.374 | mouse        | 0.405 | remote         | 0.070 |
| keyboard      | 0.272 | cell phone   | 0.176 | microwave      | 0.378 |
| oven          | 0.178 | toaster      | 0.035 | sink           | 0.174 |
| refrigerator  | 0.301 | book         | 0.021 | clock          | 0.359 |
| vase          | 0.192 | scissors     | 0.146 | teddy bear     | 0.245 |
| hair drier    | 0.000 | toothbrush   | 0.055 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 20:42:12,214 - mmdet - INFO - Evaluating bbox...
2021-11-06 20:43:14,183 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.398 | bicycle      | 0.180 | car            | 0.313 |
| motorcycle    | 0.247 | airplane     | 0.331 | bus            | 0.491 |
| train         | 0.399 | truck        | 0.144 | boat           | 0.137 |
| traffic light | 0.208 | fire hydrant | 0.458 | stop sign      | 0.450 |
| parking meter | 0.356 | bench        | 0.127 | bird           | 0.177 |
| cat           | 0.431 | dog          | 0.377 | horse          | 0.406 |
| sheep         | 0.302 | cow          | 0.372 | elephant       | 0.434 |
| bear          | 0.471 | zebra        | 0.463 | giraffe        | 0.513 |
| backpack      | 0.054 | umbrella     | 0.198 | handbag        | 0.058 |
| tie           | 0.189 | suitcase     | 0.120 | frisbee        | 0.417 |
| skis          | 0.076 | snowboard    | 0.066 | sports ball    | 0.320 |
| kite          | 0.216 | baseball bat | 0.126 | baseball glove | 0.217 |
| skateboard    | 0.290 | surfboard    | 0.198 | tennis racket  | 0.263 |
| bottle        | 0.247 | wine glass   | 0.200 | cup            | 0.265 |
| fork          | 0.043 | knife        | 0.037 | spoon          | 0.027 |
| bowl          | 0.286 | banana       | 0.087 | apple          | 0.078 |
| sandwich      | 0.199 | orange       | 0.154 | broccoli       | 0.142 |
| carrot        | 0.057 | hot dog      | 0.063 | pizza          | 0.352 |
| donut         | 0.236 | cake         | 0.108 | chair          | 0.121 |
| couch         | 0.241 | potted plant | 0.121 | bed            | 0.290 |
| dining table  | 0.143 | toilet       | 0.392 | tv             | 0.409 |
| laptop        | 0.395 | mouse        | 0.434 | remote         | 0.079 |
| keyboard      | 0.289 | cell phone   | 0.190 | microwave      | 0.382 |
| oven          | 0.185 | toaster      | 0.036 | sink           | 0.182 |
| refrigerator  | 0.328 | book         | 0.025 | clock          | 0.389 |
| vase          | 0.215 | scissors     | 0.156 | teddy bear     | 0.268 |
| hair drier    | 0.000 | toothbrush   | 0.046 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 20:44:40,319 - mmdet - INFO - current percent: 0.2
2021-11-06 20:44:40,319 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.96-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.94-parking meter) (0.97-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.97-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.96-backpack) (0.99-umbrella) (0.88-handbag) (0.99-tie) (0.95-suitcase) (1.00-frisbee) (0.96-skis) (0.87-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (0.99-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.98-bottle) (0.99-wine glass) (0.98-cup) (0.93-fork) (0.89-knife) (0.90-spoon) (0.99-bowl) (0.96-banana) (0.94-apple) (0.98-sandwich) (0.97-orange) (0.99-broccoli) (0.93-carrot) (0.92-hot dog) (0.99-pizza) (0.99-donut) (0.97-cake) (0.93-chair) (0.98-couch) (0.98-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.93-remote) (1.00-keyboard) (0.98-cell phone) (0.98-microwave) (0.98-oven) (0.65-toaster) (1.00-sink) (0.99-refrigerator) (0.91-book) (1.00-clock) (0.97-vase) (0.90-scissors) (1.00-teddy bear) (0.05-hair drier) (0.75-toothbrush)
2021-11-06 20:44:40,846 - mmdet - INFO - update score thr (ignore): (0.17-person) (0.15-bicycle) (0.33-car) (0.21-motorcycle) (0.54-airplane) (0.41-bus) (0.22-train) (0.30-truck) (0.21-boat) (0.29-traffic light) (0.36-fire hydrant) (0.79-stop sign) (0.07-parking meter) (0.27-bench) (0.09-bird) (0.56-cat) (0.46-dog) (0.23-horse) (0.67-sheep) (0.26-cow) (0.63-elephant) (0.56-bear) (0.07-zebra) (0.12-giraffe) (0.35-backpack) (0.17-umbrella) (0.19-handbag) (0.17-tie) (0.19-suitcase) (0.48-frisbee) (0.28-skis) (0.20-snowboard) (0.28-sports ball) (0.38-kite) (0.36-baseball bat) (0.59-baseball glove) (0.20-skateboard) (0.26-surfboard) (0.68-tennis racket) (0.34-bottle) (0.15-wine glass) (0.22-cup) (0.06-fork) (0.22-knife) (0.20-spoon) (0.41-bowl) (0.13-banana) (0.24-apple) (0.39-sandwich) (0.46-orange) (0.48-broccoli) (0.42-carrot) (0.58-hot dog) (0.30-pizza) (0.60-donut) (0.29-cake) (0.15-chair) (0.39-couch) (0.28-potted plant) (0.46-bed) (0.29-dining table) (0.65-toilet) (0.57-tv) (0.33-laptop) (0.82-mouse) (0.19-remote) (0.57-keyboard) (0.44-cell phone) (0.46-microwave) (0.29-oven) (0.19-toaster) (0.41-sink) (0.46-refrigerator) (0.19-book) (0.57-clock) (0.17-vase) (0.19-scissors) (0.79-teddy bear) (0.05-hair drier) (0.12-toothbrush)
2021-11-06 20:44:41,115 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 20:44:41,116 - mmdet - INFO - Iter [20000/40000]	lr: 2.000e-02, eta: 10:35:20, time: 1.733, data_time: 0.027, memory: 26488, bbox_mAP: 0.2360, bbox_mAP_50: 0.4140, bbox_mAP_75: 0.2450, bbox_mAP_s: 0.1130, bbox_mAP_m: 0.2620, bbox_mAP_l: 0.3170, bbox_mAP_copypaste: 0.236 0.414 0.245 0.113 0.262 0.317, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0362, loss_cls: 0.0826, acc: 96.7705, loss_bbox: 0.1640, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.1038, loss_cls_unlabeled: 0.1639, acc_unlabeled: 91.2836, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1455, pseudo_num: 1.6889, pseudo_num_ig: 6.0838, pseudo_num_mining: 0.7492, pseudo_num(acc): 0.7539, pseudo_num ig(acc): 0.3855, loss: 0.9736
2021-11-06 20:46:05,048 - mmdet - INFO - Iter [20050/40000]	lr: 2.000e-02, eta: 10:38:48, time: 7.997, data_time: 6.345, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0342, loss_cls: 0.0805, acc: 96.8363, loss_bbox: 0.1589, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1648, acc_unlabeled: 91.6096, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1401, pseudo_num: 1.6886, pseudo_num_ig: 6.0840, pseudo_num_mining: 0.7498, pseudo_num(acc): 0.7540, pseudo_num ig(acc): 0.3855, loss: 0.9536
2021-11-06 20:47:28,566 - mmdet - INFO - Iter [20100/40000]	lr: 2.000e-02, eta: 10:36:59, time: 1.670, data_time: 0.024, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0356, loss_cls: 0.0819, acc: 96.7983, loss_bbox: 0.1642, loss_rpn_cls_unlabeled: 0.0821, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1599, acc_unlabeled: 91.8654, loss_bbox_unlabeled: 0.1750, losses_cls_ig_unlabeled: 0.1372, pseudo_num: 1.6883, pseudo_num_ig: 6.0839, pseudo_num_mining: 0.7506, pseudo_num(acc): 0.7542, pseudo_num ig(acc): 0.3856, loss: 0.9421
2021-11-06 20:48:52,365 - mmdet - INFO - Iter [20150/40000]	lr: 2.000e-02, eta: 10:35:11, time: 1.677, data_time: 0.024, memory: 26488, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0363, loss_cls: 0.0823, acc: 96.7501, loss_bbox: 0.1644, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0995, loss_cls_unlabeled: 0.1581, acc_unlabeled: 91.6804, loss_bbox_unlabeled: 0.1735, losses_cls_ig_unlabeled: 0.1451, pseudo_num: 1.6880, pseudo_num_ig: 6.0834, pseudo_num_mining: 0.7511, pseudo_num(acc): 0.7544, pseudo_num ig(acc): 0.3856, loss: 0.9594
2021-11-06 20:50:17,177 - mmdet - INFO - Iter [20200/40000]	lr: 2.000e-02, eta: 10:33:24, time: 1.691, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0351, loss_cls: 0.0814, acc: 96.8290, loss_bbox: 0.1641, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0989, loss_cls_unlabeled: 0.1610, acc_unlabeled: 91.8253, loss_bbox_unlabeled: 0.1818, losses_cls_ig_unlabeled: 0.1381, pseudo_num: 1.6879, pseudo_num_ig: 6.0835, pseudo_num_mining: 0.7517, pseudo_num(acc): 0.7545, pseudo_num ig(acc): 0.3856, loss: 0.9603
2021-11-06 20:51:41,002 - mmdet - INFO - Iter [20250/40000]	lr: 2.000e-02, eta: 10:31:36, time: 1.676, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0357, loss_cls: 0.0799, acc: 96.8809, loss_bbox: 0.1611, loss_rpn_cls_unlabeled: 0.0825, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1564, acc_unlabeled: 91.7892, loss_bbox_unlabeled: 0.1698, losses_cls_ig_unlabeled: 0.1358, pseudo_num: 1.6875, pseudo_num_ig: 6.0837, pseudo_num_mining: 0.7524, pseudo_num(acc): 0.7547, pseudo_num ig(acc): 0.3857, loss: 0.9285
2021-11-06 20:53:05,708 - mmdet - INFO - Iter [20300/40000]	lr: 2.000e-02, eta: 10:29:50, time: 1.697, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0333, loss_cls: 0.0789, acc: 96.9265, loss_bbox: 0.1596, loss_rpn_cls_unlabeled: 0.0873, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1588, acc_unlabeled: 91.6517, loss_bbox_unlabeled: 0.1713, losses_cls_ig_unlabeled: 0.1442, pseudo_num: 1.6871, pseudo_num_ig: 6.0837, pseudo_num_mining: 0.7531, pseudo_num(acc): 0.7549, pseudo_num ig(acc): 0.3857, loss: 0.9406
2021-11-06 20:54:31,081 - mmdet - INFO - Iter [20350/40000]	lr: 2.000e-02, eta: 10:28:04, time: 1.710, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0362, loss_cls: 0.0813, acc: 96.7891, loss_bbox: 0.1627, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1589, acc_unlabeled: 91.8744, loss_bbox_unlabeled: 0.1751, losses_cls_ig_unlabeled: 0.1339, pseudo_num: 1.6867, pseudo_num_ig: 6.0837, pseudo_num_mining: 0.7539, pseudo_num(acc): 0.7550, pseudo_num ig(acc): 0.3858, loss: 0.9412
2021-11-06 20:55:54,963 - mmdet - INFO - Iter [20400/40000]	lr: 2.000e-02, eta: 10:26:16, time: 1.677, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0348, loss_cls: 0.0792, acc: 96.8790, loss_bbox: 0.1575, loss_rpn_cls_unlabeled: 0.0911, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1572, acc_unlabeled: 92.1145, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1357, pseudo_num: 1.6865, pseudo_num_ig: 6.0834, pseudo_num_mining: 0.7545, pseudo_num(acc): 0.7552, pseudo_num ig(acc): 0.3858, loss: 0.9357
2021-11-06 20:57:17,996 - mmdet - INFO - Iter [20450/40000]	lr: 2.000e-02, eta: 10:24:28, time: 1.660, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0352, loss_cls: 0.0817, acc: 96.7959, loss_bbox: 0.1641, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1532, acc_unlabeled: 91.7533, loss_bbox_unlabeled: 0.1677, losses_cls_ig_unlabeled: 0.1427, pseudo_num: 1.6860, pseudo_num_ig: 6.0831, pseudo_num_mining: 0.7551, pseudo_num(acc): 0.7554, pseudo_num ig(acc): 0.3858, loss: 0.9374
2021-11-06 20:58:41,700 - mmdet - INFO - pseudo pos: 0.98(39434.0-person) 0.87(1097.0-bicycle) 0.92(5878.0-car) 0.98(1212.0-motorcycle) 0.99(534.0-airplane) 0.99(871.0-bus) 0.98(794.0-train) 0.69(1439.0-truck) 0.64(1645.0-boat) 0.86(2124.0-traffic light) 0.99(308.0-fire hydrant) 0.96(289.0-stop sign) 0.74(282.0-parking meter) 0.62(1415.0-bench) 0.92(1181.0-bird) 0.96(739.0-cat) 0.94(732.0-dog) 0.96(995.0-horse) 0.95(757.0-sheep) 0.83(1479.0-cow) 0.99(570.0-elephant) 1.00(214.0-bear) 0.99(1038.0-zebra) 0.99(1043.0-giraffe) 0.43(1271.0-backpack) 0.79(1706.0-umbrella) 0.41(1981.0-handbag) 0.84(915.0-tie) 0.67(1129.0-suitcase) 0.91(382.0-frisbee) 0.55(1005.0-skis) 0.20(811.0-snowboard) 0.95(843.0-sports ball) 0.74(1502.0-kite) 0.83(486.0-baseball bat) 0.81(649.0-baseball glove) 0.96(791.0-skateboard) 0.83(855.0-surfboard) 0.95(466.0-tennis racket) 0.82(3212.0-bottle) 0.91(927.0-wine glass) 0.80(3466.0-cup) 0.39(533.0-fork) 0.31(1370.0-knife) 0.28(1032.0-spoon) 0.71(3056.0-bowl) 0.61(1413.0-banana) 0.32(1456.0-apple) 0.38(1564.0-sandwich) 0.38(780.0-orange) 0.67(933.0-broccoli) 0.42(1172.0-carrot) 0.03(6700.0-hot dog) 0.95(905.0-pizza) 0.69(1284.0-donut) 0.52(987.0-cake) 0.61(7251.0-chair) 0.75(885.0-couch) 0.64(1495.0-potted plant) 0.90(674.0-bed) 0.68(3027.0-dining table) 0.92(561.0-toilet) 0.94(948.0-tv) 0.97(717.0-laptop) 0.95(217.0-mouse) 0.58(677.0-remote) 0.75(432.0-keyboard) 0.65(1107.0-cell phone) 0.96(290.0-microwave) 0.76(691.0-oven) 0.19(27.0-toaster) 0.79(916.0-sink) 0.90(410.0-refrigerator) 0.23(3478.0-book) 0.96(792.0-clock) 0.86(828.0-vase) 0.50(257.0-scissors) 0.93(407.0-teddy bear) 0.00(0.0-hair drier) 0.21(438.0-toothbrush)
2021-11-06 20:58:41,701 - mmdet - INFO - pseudo ig: 0.56(147781.0-person) 0.30(4091.0-bicycle) 0.45(23995.0-car) 0.48(4495.0-motorcycle) 0.72(1765.0-airplane) 0.59(3214.0-bus) 0.51(2689.0-train) 0.30(5515.0-truck) 0.27(6492.0-boat) 0.28(8641.0-traffic light) 0.56(1066.0-fire hydrant) 0.50(1202.0-stop sign) 0.21(797.0-parking meter) 0.18(5265.0-bench) 0.32(3930.0-bird) 0.68(2627.0-cat) 0.62(2508.0-dog) 0.51(3687.0-horse) 0.70(3025.0-sheep) 0.32(6131.0-cow) 0.80(2495.0-elephant) 0.59(787.0-bear) 0.50(4011.0-zebra) 0.67(3254.0-giraffe) 0.18(4890.0-backpack) 0.33(6601.0-umbrella) 0.13(8105.0-handbag) 0.29(3788.0-tie) 0.20(4011.0-suitcase) 0.41(1612.0-frisbee) 0.26(3761.0-skis) 0.16(1476.0-snowboard) 0.34(3670.0-sports ball) 0.31(5690.0-kite) 0.26(1903.0-baseball bat) 0.25(2587.0-baseball glove) 0.42(2835.0-skateboard) 0.36(3225.0-surfboard) 0.67(1957.0-tennis racket) 0.32(13791.0-bottle) 0.36(3806.0-wine glass) 0.27(14140.0-cup) 0.22(2135.0-fork) 0.12(5505.0-knife) 0.10(4341.0-spoon) 0.26(12161.0-bowl) 0.22(5778.0-banana) 0.13(4698.0-apple) 0.19(3050.0-sandwich) 0.28(1940.0-orange) 0.33(4029.0-broccoli) 0.16(4866.0-carrot) 0.10(975.0-hot dog) 0.47(3242.0-pizza) 0.25(4690.0-donut) 0.22(3529.0-cake) 0.20(28923.0-chair) 0.32(3199.0-couch) 0.27(5733.0-potted plant) 0.42(2395.0-bed) 0.29(9469.0-dining table) 0.58(2422.0-toilet) 0.47(3311.0-tv) 0.53(2467.0-laptop) 0.54(782.0-mouse) 0.20(2974.0-remote) 0.44(1621.0-keyboard) 0.21(4229.0-cell phone) 0.35(1040.0-microwave) 0.23(2418.0-oven) 0.13(39.0-toaster) 0.36(3398.0-sink) 0.32(1502.0-refrigerator) 0.12(14212.0-book) 0.58(3153.0-clock) 0.34(3247.0-vase) 0.21(984.0-scissors) 0.62(1562.0-teddy bear) 0.00(0.0-hair drier) 0.05(1447.0-toothbrush)
2021-11-06 20:58:41,701 - mmdet - INFO - pseudo gt: 179483.0 4786.0 30153.0 6174.0 3703.0 4441.0 3104.0 6913.0 7326.0 8723.0 1346.0 1379.0 887.0 6946.0 7285.0 3309.0 3825.0 4692.0 6896.0 5591.0 4003.0 914.0 3630.0 3711.0 6290.0 7813.0 8829.0 4424.0 4389.0 1824.0 4452.0 1869.0 4496.0 6101.0 2312.0 2510.0 3856.0 4052.0 3300.0 16368.0 5300.0 14152.0 3752.0 5426.0 4238.0 9826.0 6390.0 4139.0 2886.0 4291.0 4829.0 5390.0 1974.0 4176.0 4466.0 4347.0 26843.0 3996.0 5971.0 2917.0 10899.0 2907.0 4106.0 3626.0 1614.0 4007.0 1915.0 4499.0 1105.0 2209.0 151.0 3856.0 1774.0 17036.0 4294.0 4364.0 1050.0 3111.0 134.0 1432.0
2021-11-06 20:58:41,701 - mmdet - INFO - pseudo mining: 30425.0 102.0 3876.0 360.0 373.0 568.0 313.0 155.0 278.0 918.0 302.0 692.0 12.0 21.0 149.0 516.0 242.0 511.0 1240.0 298.0 1058.0 203.0 933.0 1113.0 46.0 574.0 31.0 166.0 36.0 328.0 47.0 17.0 970.0 1201.0 203.0 339.0 261.0 135.0 871.0 1086.0 185.0 952.0 9.0 40.0 20.0 899.0 147.0 90.0 78.0 407.0 412.0 152.0 1.0 321.0 438.0 67.0 118.0 53.0 353.0 40.0 191.0 880.0 787.0 393.0 289.0 51.0 297.0 193.0 111.0 50.0 0.0 503.0 47.0 124.0 1774.0 75.0 5.0 383.0 0.0 0.0
2021-11-06 20:58:43,218 - mmdet - INFO - Iter [20500/40000]	lr: 2.000e-02, eta: 10:22:42, time: 1.705, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0355, loss_cls: 0.0796, acc: 96.8838, loss_bbox: 0.1587, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1610, acc_unlabeled: 91.6168, loss_bbox_unlabeled: 0.1795, losses_cls_ig_unlabeled: 0.1464, pseudo_num: 1.6857, pseudo_num_ig: 6.0829, pseudo_num_mining: 0.7557, pseudo_num(acc): 0.7555, pseudo_num ig(acc): 0.3858, loss: 0.9504
2021-11-06 21:00:07,771 - mmdet - INFO - Iter [20550/40000]	lr: 2.000e-02, eta: 10:20:56, time: 1.691, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0359, loss_cls: 0.0786, acc: 96.9243, loss_bbox: 0.1587, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1578, acc_unlabeled: 91.6528, loss_bbox_unlabeled: 0.1725, losses_cls_ig_unlabeled: 0.1388, pseudo_num: 1.6854, pseudo_num_ig: 6.0826, pseudo_num_mining: 0.7562, pseudo_num(acc): 0.7557, pseudo_num ig(acc): 0.3859, loss: 0.9379
2021-11-06 21:01:33,167 - mmdet - INFO - Iter [20600/40000]	lr: 2.000e-02, eta: 10:19:10, time: 1.704, data_time: 0.024, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0351, loss_cls: 0.0801, acc: 96.8379, loss_bbox: 0.1602, loss_rpn_cls_unlabeled: 0.0818, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1556, acc_unlabeled: 91.7019, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.1407, pseudo_num: 1.6851, pseudo_num_ig: 6.0824, pseudo_num_mining: 0.7568, pseudo_num(acc): 0.7559, pseudo_num ig(acc): 0.3859, loss: 0.9304
2021-11-06 21:02:59,256 - mmdet - INFO - Iter [20650/40000]	lr: 2.000e-02, eta: 10:17:25, time: 1.725, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0374, loss_cls: 0.0827, acc: 96.7716, loss_bbox: 0.1657, loss_rpn_cls_unlabeled: 0.0826, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1573, acc_unlabeled: 91.7007, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1399, pseudo_num: 1.6849, pseudo_num_ig: 6.0825, pseudo_num_mining: 0.7574, pseudo_num(acc): 0.7560, pseudo_num ig(acc): 0.3859, loss: 0.9478
2021-11-06 21:04:24,336 - mmdet - INFO - Iter [20700/40000]	lr: 2.000e-02, eta: 10:15:39, time: 1.699, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0336, loss_cls: 0.0799, acc: 96.8783, loss_bbox: 0.1600, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1592, acc_unlabeled: 91.6884, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1408, pseudo_num: 1.6847, pseudo_num_ig: 6.0822, pseudo_num_mining: 0.7579, pseudo_num(acc): 0.7561, pseudo_num ig(acc): 0.3859, loss: 0.9412
2021-11-06 21:05:48,805 - mmdet - INFO - Iter [20750/40000]	lr: 2.000e-02, eta: 10:13:53, time: 1.691, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0338, loss_cls: 0.0795, acc: 96.8766, loss_bbox: 0.1626, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1620, acc_unlabeled: 91.7256, loss_bbox_unlabeled: 0.1821, losses_cls_ig_unlabeled: 0.1415, pseudo_num: 1.6844, pseudo_num_ig: 6.0819, pseudo_num_mining: 0.7584, pseudo_num(acc): 0.7563, pseudo_num ig(acc): 0.3860, loss: 0.9490
2021-11-06 21:07:13,163 - mmdet - INFO - Iter [20800/40000]	lr: 2.000e-02, eta: 10:12:07, time: 1.685, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0334, loss_cls: 0.0828, acc: 96.7858, loss_bbox: 0.1643, loss_rpn_cls_unlabeled: 0.0854, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1592, acc_unlabeled: 91.6062, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1404, pseudo_num: 1.6843, pseudo_num_ig: 6.0812, pseudo_num_mining: 0.7588, pseudo_num(acc): 0.7565, pseudo_num ig(acc): 0.3860, loss: 0.9480
2021-11-06 21:08:37,471 - mmdet - INFO - Iter [20850/40000]	lr: 2.000e-02, eta: 10:10:21, time: 1.687, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0341, loss_cls: 0.0796, acc: 96.9086, loss_bbox: 0.1585, loss_rpn_cls_unlabeled: 0.0898, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1596, acc_unlabeled: 91.7413, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1396, pseudo_num: 1.6841, pseudo_num_ig: 6.0812, pseudo_num_mining: 0.7593, pseudo_num(acc): 0.7566, pseudo_num ig(acc): 0.3860, loss: 0.9467
2021-11-06 21:10:02,308 - mmdet - INFO - Iter [20900/40000]	lr: 2.000e-02, eta: 10:08:36, time: 1.701, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0352, loss_cls: 0.0788, acc: 96.9120, loss_bbox: 0.1595, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1609, acc_unlabeled: 91.9341, loss_bbox_unlabeled: 0.1772, losses_cls_ig_unlabeled: 0.1408, pseudo_num: 1.6840, pseudo_num_ig: 6.0813, pseudo_num_mining: 0.7599, pseudo_num(acc): 0.7568, pseudo_num ig(acc): 0.3860, loss: 0.9446
2021-11-06 21:11:27,798 - mmdet - INFO - Iter [20950/40000]	lr: 2.000e-02, eta: 10:06:51, time: 1.707, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0346, loss_cls: 0.0793, acc: 96.9022, loss_bbox: 0.1591, loss_rpn_cls_unlabeled: 0.0807, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1553, acc_unlabeled: 91.9896, loss_bbox_unlabeled: 0.1671, losses_cls_ig_unlabeled: 0.1396, pseudo_num: 1.6836, pseudo_num_ig: 6.0805, pseudo_num_mining: 0.7604, pseudo_num(acc): 0.7570, pseudo_num ig(acc): 0.3861, loss: 0.9188
2021-11-06 21:12:51,328 - mmdet - INFO - pseudo pos: 0.98(40454.0-person) 0.86(1117.0-bicycle) 0.92(6019.0-car) 0.98(1240.0-motorcycle) 0.99(537.0-airplane) 0.99(883.0-bus) 0.98(817.0-train) 0.69(1468.0-truck) 0.64(1705.0-boat) 0.86(2150.0-traffic light) 0.99(313.0-fire hydrant) 0.96(299.0-stop sign) 0.75(286.0-parking meter) 0.62(1439.0-bench) 0.92(1207.0-bird) 0.96(762.0-cat) 0.94(750.0-dog) 0.96(1024.0-horse) 0.95(770.0-sheep) 0.83(1524.0-cow) 0.99(588.0-elephant) 1.00(216.0-bear) 0.99(1072.0-zebra) 0.99(1074.0-giraffe) 0.43(1306.0-backpack) 0.79(1732.0-umbrella) 0.41(2031.0-handbag) 0.84(937.0-tie) 0.67(1152.0-suitcase) 0.91(391.0-frisbee) 0.55(1031.0-skis) 0.20(817.0-snowboard) 0.95(858.0-sports ball) 0.74(1525.0-kite) 0.83(496.0-baseball bat) 0.81(664.0-baseball glove) 0.96(806.0-skateboard) 0.84(884.0-surfboard) 0.95(476.0-tennis racket) 0.82(3281.0-bottle) 0.92(948.0-wine glass) 0.80(3542.0-cup) 0.39(542.0-fork) 0.31(1406.0-knife) 0.28(1055.0-spoon) 0.71(3126.0-bowl) 0.61(1434.0-banana) 0.32(1489.0-apple) 0.39(1580.0-sandwich) 0.39(804.0-orange) 0.67(951.0-broccoli) 0.42(1198.0-carrot) 0.03(6704.0-hot dog) 0.95(928.0-pizza) 0.70(1321.0-donut) 0.52(1017.0-cake) 0.61(7392.0-chair) 0.75(901.0-couch) 0.64(1535.0-potted plant) 0.90(695.0-bed) 0.68(3106.0-dining table) 0.92(570.0-toilet) 0.94(974.0-tv) 0.97(735.0-laptop) 0.95(219.0-mouse) 0.58(693.0-remote) 0.74(450.0-keyboard) 0.65(1132.0-cell phone) 0.96(299.0-microwave) 0.76(708.0-oven) 0.19(27.0-toaster) 0.79(935.0-sink) 0.90(420.0-refrigerator) 0.23(3575.0-book) 0.96(814.0-clock) 0.86(844.0-vase) 0.50(258.0-scissors) 0.93(414.0-teddy bear) 0.00(0.0-hair drier) 0.20(444.0-toothbrush)
2021-11-06 21:12:51,328 - mmdet - INFO - pseudo ig: 0.56(151358.0-person) 0.30(4224.0-bicycle) 0.45(24542.0-car) 0.49(4604.0-motorcycle) 0.72(1804.0-airplane) 0.59(3301.0-bus) 0.51(2770.0-train) 0.30(5618.0-truck) 0.27(6680.0-boat) 0.28(8812.0-traffic light) 0.56(1097.0-fire hydrant) 0.50(1236.0-stop sign) 0.21(813.0-parking meter) 0.18(5383.0-bench) 0.32(4025.0-bird) 0.68(2688.0-cat) 0.63(2571.0-dog) 0.51(3807.0-horse) 0.70(3090.0-sheep) 0.32(6308.0-cow) 0.80(2531.0-elephant) 0.59(797.0-bear) 0.50(4158.0-zebra) 0.67(3340.0-giraffe) 0.18(5011.0-backpack) 0.33(6745.0-umbrella) 0.13(8302.0-handbag) 0.29(3859.0-tie) 0.20(4089.0-suitcase) 0.41(1666.0-frisbee) 0.26(3873.0-skis) 0.16(1500.0-snowboard) 0.34(3764.0-sports ball) 0.31(5840.0-kite) 0.26(1957.0-baseball bat) 0.25(2641.0-baseball glove) 0.42(2907.0-skateboard) 0.36(3324.0-surfboard) 0.67(2002.0-tennis racket) 0.32(14120.0-bottle) 0.36(3905.0-wine glass) 0.27(14493.0-cup) 0.22(2207.0-fork) 0.12(5652.0-knife) 0.10(4441.0-spoon) 0.26(12428.0-bowl) 0.22(5904.0-banana) 0.13(4785.0-apple) 0.19(3122.0-sandwich) 0.28(1989.0-orange) 0.33(4162.0-broccoli) 0.16(4963.0-carrot) 0.10(983.0-hot dog) 0.46(3328.0-pizza) 0.25(4758.0-donut) 0.21(3595.0-cake) 0.20(29544.0-chair) 0.32(3278.0-couch) 0.27(5849.0-potted plant) 0.43(2464.0-bed) 0.29(9650.0-dining table) 0.59(2476.0-toilet) 0.47(3391.0-tv) 0.53(2528.0-laptop) 0.55(801.0-mouse) 0.20(3036.0-remote) 0.44(1663.0-keyboard) 0.21(4298.0-cell phone) 0.35(1061.0-microwave) 0.23(2471.0-oven) 0.12(42.0-toaster) 0.36(3469.0-sink) 0.33(1538.0-refrigerator) 0.11(14593.0-book) 0.58(3218.0-clock) 0.34(3306.0-vase) 0.21(1002.0-scissors) 0.62(1596.0-teddy bear) 0.00(0.0-hair drier) 0.05(1473.0-toothbrush)
2021-11-06 21:12:51,328 - mmdet - INFO - pseudo gt: 183864.0 4907.0 30819.0 6313.0 3777.0 4530.0 3187.0 7052.0 7552.0 8867.0 1375.0 1419.0 902.0 7113.0 7451.0 3397.0 3916.0 4846.0 7055.0 5731.0 4088.0 927.0 3747.0 3820.0 6449.0 7936.0 9058.0 4525.0 4481.0 1875.0 4595.0 1900.0 4603.0 6228.0 2369.0 2595.0 3960.0 4204.0 3380.0 16801.0 5472.0 14471.0 3856.0 5573.0 4328.0 10078.0 6559.0 4217.0 2956.0 4378.0 4992.0 5526.0 2044.0 4255.0 4565.0 4429.0 27414.0 4084.0 6065.0 2990.0 11176.0 2963.0 4206.0 3705.0 1652.0 4084.0 1969.0 4591.0 1132.0 2264.0 153.0 3939.0 1833.0 17420.0 4396.0 4440.0 1061.0 3188.0 139.0 1482.0
2021-11-06 21:12:51,329 - mmdet - INFO - pseudo mining: 31279.0 106.0 3980.0 372.0 390.0 593.0 327.0 158.0 287.0 932.0 318.0 718.0 12.0 24.0 157.0 532.0 251.0 542.0 1274.0 306.0 1082.0 207.0 967.0 1147.0 50.0 592.0 31.0 171.0 37.0 347.0 55.0 18.0 999.0 1233.0 208.0 352.0 268.0 143.0 900.0 1119.0 190.0 984.0 9.0 44.0 21.0 947.0 152.0 93.0 80.0 417.0 437.0 155.0 1.0 331.0 456.0 68.0 124.0 57.0 357.0 45.0 201.0 909.0 808.0 406.0 301.0 53.0 313.0 197.0 113.0 52.0 0.0 520.0 52.0 126.0 1818.0 77.0 5.0 401.0 0.0 0.0
2021-11-06 21:14:16,028 - mmdet - INFO - current percent: 0.2
2021-11-06 21:14:16,029 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.98-parking meter) (0.96-bench) (0.97-bird) (0.99-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (0.99-umbrella) (0.90-handbag) (0.99-tie) (0.95-suitcase) (1.00-frisbee) (0.95-skis) (0.86-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.98-bottle) (0.99-wine glass) (0.99-cup) (0.93-fork) (0.88-knife) (0.90-spoon) (0.99-bowl) (0.96-banana) (0.97-apple) (0.97-sandwich) (0.99-orange) (0.98-broccoli) (0.96-carrot) (0.88-hot dog) (0.99-pizza) (0.99-donut) (0.97-cake) (0.93-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.91-remote) (1.00-keyboard) (0.99-cell phone) (0.99-microwave) (0.98-oven) (0.26-toaster) (0.99-sink) (0.99-refrigerator) (0.93-book) (1.00-clock) (0.98-vase) (0.97-scissors) (1.00-teddy bear) (0.05-hair drier) (0.79-toothbrush)
2021-11-06 21:14:16,029 - mmdet - INFO - update score thr (ignore): (0.19-person) (0.17-bicycle) (0.39-car) (0.25-motorcycle) (0.35-airplane) (0.51-bus) (0.34-train) (0.32-truck) (0.32-boat) (0.28-traffic light) (0.44-fire hydrant) (0.65-stop sign) (0.06-parking meter) (0.20-bench) (0.07-bird) (0.45-cat) (0.45-dog) (0.26-horse) (0.62-sheep) (0.24-cow) (0.49-elephant) (0.60-bear) (0.15-zebra) (0.11-giraffe) (0.30-backpack) (0.11-umbrella) (0.22-handbag) (0.16-tie) (0.19-suitcase) (0.60-frisbee) (0.22-skis) (0.20-snowboard) (0.31-sports ball) (0.55-kite) (0.48-baseball bat) (0.62-baseball glove) (0.21-skateboard) (0.33-surfboard) (0.45-tennis racket) (0.30-bottle) (0.08-wine glass) (0.26-cup) (0.08-fork) (0.27-knife) (0.19-spoon) (0.32-bowl) (0.18-banana) (0.32-apple) (0.38-sandwich) (0.81-orange) (0.28-broccoli) (0.54-carrot) (0.41-hot dog) (0.36-pizza) (0.66-donut) (0.23-cake) (0.14-chair) (0.37-couch) (0.35-potted plant) (0.43-bed) (0.27-dining table) (0.59-toilet) (0.48-tv) (0.26-laptop) (0.78-mouse) (0.18-remote) (0.51-keyboard) (0.39-cell phone) (0.39-microwave) (0.30-oven) (0.05-toaster) (0.46-sink) (0.45-refrigerator) (0.25-book) (0.53-clock) (0.19-vase) (0.22-scissors) (0.86-teddy bear) (0.05-hair drier) (0.11-toothbrush)
2021-11-06 21:14:16,274 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 21:14:16,274 - mmdet - INFO - Iter [21000/40000]	lr: 2.000e-02, eta: 10:05:06, time: 1.706, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0359, loss_cls: 0.0806, acc: 96.8490, loss_bbox: 0.1625, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1537, acc_unlabeled: 91.8383, loss_bbox_unlabeled: 0.1710, losses_cls_ig_unlabeled: 0.1387, pseudo_num: 1.6833, pseudo_num_ig: 6.0802, pseudo_num_mining: 0.7608, pseudo_num(acc): 0.7571, pseudo_num ig(acc): 0.3861, loss: 0.9351
2021-11-06 21:15:40,433 - mmdet - INFO - Iter [21050/40000]	lr: 2.000e-02, eta: 10:04:35, time: 3.349, data_time: 1.691, memory: 26488, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0352, loss_cls: 0.0805, acc: 96.8333, loss_bbox: 0.1622, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1656, acc_unlabeled: 91.5736, loss_bbox_unlabeled: 0.1891, losses_cls_ig_unlabeled: 0.1403, pseudo_num: 1.6831, pseudo_num_ig: 6.0801, pseudo_num_mining: 0.7615, pseudo_num(acc): 0.7573, pseudo_num ig(acc): 0.3862, loss: 0.9698
2021-11-06 21:17:04,714 - mmdet - INFO - Iter [21100/40000]	lr: 2.000e-02, eta: 10:02:49, time: 1.686, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0328, loss_cls: 0.0770, acc: 96.9838, loss_bbox: 0.1576, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.0910, loss_cls_unlabeled: 0.1623, acc_unlabeled: 91.7803, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1431, pseudo_num: 1.6828, pseudo_num_ig: 6.0801, pseudo_num_mining: 0.7623, pseudo_num(acc): 0.7574, pseudo_num ig(acc): 0.3863, loss: 0.9325
2021-11-06 21:18:29,235 - mmdet - INFO - Iter [21150/40000]	lr: 2.000e-02, eta: 10:01:04, time: 1.691, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0351, loss_cls: 0.0831, acc: 96.7322, loss_bbox: 0.1707, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1584, acc_unlabeled: 91.5353, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1457, pseudo_num: 1.6824, pseudo_num_ig: 6.0799, pseudo_num_mining: 0.7630, pseudo_num(acc): 0.7576, pseudo_num ig(acc): 0.3863, loss: 0.9650
2021-11-06 21:19:51,760 - mmdet - INFO - Iter [21200/40000]	lr: 2.000e-02, eta: 9:59:16, time: 1.648, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0336, loss_cls: 0.0798, acc: 96.8787, loss_bbox: 0.1624, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1524, acc_unlabeled: 91.9054, loss_bbox_unlabeled: 0.1695, losses_cls_ig_unlabeled: 0.1392, pseudo_num: 1.6820, pseudo_num_ig: 6.0798, pseudo_num_mining: 0.7637, pseudo_num(acc): 0.7578, pseudo_num ig(acc): 0.3864, loss: 0.9248
2021-11-06 21:21:14,865 - mmdet - INFO - Iter [21250/40000]	lr: 2.000e-02, eta: 9:57:30, time: 1.664, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0349, loss_cls: 0.0784, acc: 96.9740, loss_bbox: 0.1583, loss_rpn_cls_unlabeled: 0.0842, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1603, acc_unlabeled: 92.0391, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1361, pseudo_num: 1.6815, pseudo_num_ig: 6.0792, pseudo_num_mining: 0.7642, pseudo_num(acc): 0.7579, pseudo_num ig(acc): 0.3864, loss: 0.9314
2021-11-06 21:22:39,199 - mmdet - INFO - Iter [21300/40000]	lr: 2.000e-02, eta: 9:55:44, time: 1.684, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0368, loss_cls: 0.0813, acc: 96.8203, loss_bbox: 0.1620, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1597, acc_unlabeled: 91.8824, loss_bbox_unlabeled: 0.1741, losses_cls_ig_unlabeled: 0.1391, pseudo_num: 1.6812, pseudo_num_ig: 6.0784, pseudo_num_mining: 0.7649, pseudo_num(acc): 0.7581, pseudo_num ig(acc): 0.3864, loss: 0.9469
2021-11-06 21:24:03,932 - mmdet - INFO - Iter [21350/40000]	lr: 2.000e-02, eta: 9:53:59, time: 1.696, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0346, loss_cls: 0.0777, acc: 96.9833, loss_bbox: 0.1576, loss_rpn_cls_unlabeled: 0.0777, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1572, acc_unlabeled: 91.9003, loss_bbox_unlabeled: 0.1717, losses_cls_ig_unlabeled: 0.1378, pseudo_num: 1.6807, pseudo_num_ig: 6.0779, pseudo_num_mining: 0.7655, pseudo_num(acc): 0.7582, pseudo_num ig(acc): 0.3865, loss: 0.9184
2021-11-06 21:25:28,450 - mmdet - INFO - Iter [21400/40000]	lr: 2.000e-02, eta: 9:52:14, time: 1.690, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0360, loss_cls: 0.0835, acc: 96.7271, loss_bbox: 0.1651, loss_rpn_cls_unlabeled: 0.0871, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1618, acc_unlabeled: 91.5951, loss_bbox_unlabeled: 0.1823, losses_cls_ig_unlabeled: 0.1402, pseudo_num: 1.6804, pseudo_num_ig: 6.0772, pseudo_num_mining: 0.7661, pseudo_num(acc): 0.7584, pseudo_num ig(acc): 0.3865, loss: 0.9628
2021-11-06 21:26:51,281 - mmdet - INFO - Iter [21450/40000]	lr: 2.000e-02, eta: 9:50:27, time: 1.657, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0323, loss_cls: 0.0772, acc: 96.9911, loss_bbox: 0.1555, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1580, acc_unlabeled: 91.9708, loss_bbox_unlabeled: 0.1723, losses_cls_ig_unlabeled: 0.1366, pseudo_num: 1.6801, pseudo_num_ig: 6.0766, pseudo_num_mining: 0.7667, pseudo_num(acc): 0.7585, pseudo_num ig(acc): 0.3866, loss: 0.9176
2021-11-06 21:28:14,788 - mmdet - INFO - pseudo pos: 0.98(41449.0-person) 0.86(1150.0-bicycle) 0.92(6154.0-car) 0.98(1274.0-motorcycle) 0.99(549.0-airplane) 0.99(891.0-bus) 0.98(839.0-train) 0.69(1497.0-truck) 0.65(1726.0-boat) 0.87(2199.0-traffic light) 0.99(320.0-fire hydrant) 0.96(304.0-stop sign) 0.75(292.0-parking meter) 0.63(1461.0-bench) 0.92(1231.0-bird) 0.96(782.0-cat) 0.94(770.0-dog) 0.96(1041.0-horse) 0.96(793.0-sheep) 0.83(1578.0-cow) 0.99(602.0-elephant) 1.00(219.0-bear) 0.99(1095.0-zebra) 0.99(1094.0-giraffe) 0.43(1341.0-backpack) 0.79(1761.0-umbrella) 0.41(2062.0-handbag) 0.85(952.0-tie) 0.67(1177.0-suitcase) 0.92(402.0-frisbee) 0.55(1056.0-skis) 0.20(820.0-snowboard) 0.95(882.0-sports ball) 0.74(1567.0-kite) 0.83(506.0-baseball bat) 0.81(678.0-baseball glove) 0.96(819.0-skateboard) 0.84(905.0-surfboard) 0.95(490.0-tennis racket) 0.82(3368.0-bottle) 0.91(976.0-wine glass) 0.81(3624.0-cup) 0.39(552.0-fork) 0.31(1455.0-knife) 0.28(1068.0-spoon) 0.71(3195.0-bowl) 0.61(1484.0-banana) 0.32(1514.0-apple) 0.39(1602.0-sandwich) 0.40(806.0-orange) 0.66(972.0-broccoli) 0.42(1213.0-carrot) 0.03(6705.0-hot dog) 0.95(943.0-pizza) 0.70(1337.0-donut) 0.52(1045.0-cake) 0.61(7553.0-chair) 0.76(911.0-couch) 0.64(1577.0-potted plant) 0.90(708.0-bed) 0.68(3170.0-dining table) 0.92(587.0-toilet) 0.94(998.0-tv) 0.97(751.0-laptop) 0.95(224.0-mouse) 0.58(720.0-remote) 0.74(463.0-keyboard) 0.65(1154.0-cell phone) 0.95(307.0-microwave) 0.76(730.0-oven) 0.19(27.0-toaster) 0.79(953.0-sink) 0.90(429.0-refrigerator) 0.23(3644.0-book) 0.96(837.0-clock) 0.86(866.0-vase) 0.50(261.0-scissors) 0.93(430.0-teddy bear) 0.00(0.0-hair drier) 0.21(450.0-toothbrush)
2021-11-06 21:28:14,789 - mmdet - INFO - pseudo ig: 0.56(154810.0-person) 0.30(4328.0-bicycle) 0.45(25099.0-car) 0.49(4734.0-motorcycle) 0.72(1862.0-airplane) 0.60(3368.0-bus) 0.51(2810.0-train) 0.30(5744.0-truck) 0.27(6778.0-boat) 0.28(8978.0-traffic light) 0.55(1121.0-fire hydrant) 0.50(1288.0-stop sign) 0.21(844.0-parking meter) 0.18(5501.0-bench) 0.32(4130.0-bird) 0.68(2758.0-cat) 0.62(2630.0-dog) 0.51(3876.0-horse) 0.70(3169.0-sheep) 0.32(6486.0-cow) 0.80(2603.0-elephant) 0.59(813.0-bear) 0.50(4221.0-zebra) 0.67(3401.0-giraffe) 0.18(5119.0-backpack) 0.33(6922.0-umbrella) 0.13(8488.0-handbag) 0.29(3905.0-tie) 0.20(4176.0-suitcase) 0.41(1704.0-frisbee) 0.26(3972.0-skis) 0.16(1526.0-snowboard) 0.34(3860.0-sports ball) 0.31(5953.0-kite) 0.26(2001.0-baseball bat) 0.25(2693.0-baseball glove) 0.42(2981.0-skateboard) 0.36(3416.0-surfboard) 0.67(2068.0-tennis racket) 0.32(14479.0-bottle) 0.36(4001.0-wine glass) 0.27(14820.0-cup) 0.22(2248.0-fork) 0.12(5761.0-knife) 0.10(4527.0-spoon) 0.26(12725.0-bowl) 0.22(6088.0-banana) 0.13(4885.0-apple) 0.19(3164.0-sandwich) 0.28(2018.0-orange) 0.33(4277.0-broccoli) 0.16(5041.0-carrot) 0.10(990.0-hot dog) 0.47(3405.0-pizza) 0.26(4833.0-donut) 0.21(3688.0-cake) 0.20(30072.0-chair) 0.32(3334.0-couch) 0.27(5996.0-potted plant) 0.43(2524.0-bed) 0.29(9872.0-dining table) 0.59(2525.0-toilet) 0.47(3456.0-tv) 0.53(2599.0-laptop) 0.55(815.0-mouse) 0.20(3117.0-remote) 0.44(1704.0-keyboard) 0.21(4400.0-cell phone) 0.35(1086.0-microwave) 0.24(2522.0-oven) 0.15(48.0-toaster) 0.37(3551.0-sink) 0.33(1576.0-refrigerator) 0.11(14922.0-book) 0.58(3280.0-clock) 0.34(3375.0-vase) 0.21(1021.0-scissors) 0.62(1621.0-teddy bear) 0.00(0.0-hair drier) 0.05(1503.0-toothbrush)
2021-11-06 21:28:14,790 - mmdet - INFO - pseudo gt: 188146.0 5017.0 31565.0 6530.0 3851.0 4632.0 3256.0 7210.0 7705.0 9057.0 1401.0 1474.0 929.0 7258.0 7587.0 3483.0 3989.0 4931.0 7209.0 5904.0 4188.0 949.0 3806.0 3902.0 6586.0 8096.0 9258.0 4603.0 4576.0 1954.0 4738.0 1927.0 4731.0 6383.0 2413.0 2660.0 4041.0 4310.0 3482.0 17244.0 5584.0 14799.0 3926.0 5693.0 4418.0 10324.0 6711.0 4288.0 3005.0 4455.0 5076.0 5693.0 2102.0 4342.0 4691.0 4522.0 28003.0 4164.0 6232.0 3059.0 11439.0 3023.0 4279.0 3782.0 1686.0 4172.0 2021.0 4687.0 1161.0 2323.0 159.0 4040.0 1885.0 17822.0 4493.0 4547.0 1081.0 3258.0 141.0 1502.0
2021-11-06 21:28:14,790 - mmdet - INFO - pseudo mining: 32219.0 107.0 4118.0 394.0 400.0 612.0 337.0 164.0 291.0 959.0 321.0 752.0 12.0 26.0 160.0 552.0 263.0 545.0 1300.0 320.0 1117.0 214.0 984.0 1181.0 50.0 607.0 36.0 174.0 37.0 361.0 57.0 19.0 1026.0 1281.0 216.0 363.0 284.0 158.0 929.0 1156.0 192.0 1024.0 9.0 44.0 21.0 971.0 158.0 100.0 81.0 433.0 454.0 161.0 1.0 347.0 481.0 69.0 128.0 61.0 375.0 52.0 207.0 933.0 829.0 421.0 309.0 55.0 325.0 208.0 120.0 53.0 0.0 540.0 55.0 133.0 1857.0 78.0 5.0 414.0 0.0 0.0
2021-11-06 21:28:16,475 - mmdet - INFO - Iter [21500/40000]	lr: 2.000e-02, eta: 9:48:43, time: 1.703, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0339, loss_cls: 0.0784, acc: 96.9325, loss_bbox: 0.1581, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0946, loss_cls_unlabeled: 0.1546, acc_unlabeled: 91.7433, loss_bbox_unlabeled: 0.1715, losses_cls_ig_unlabeled: 0.1428, pseudo_num: 1.6797, pseudo_num_ig: 6.0759, pseudo_num_mining: 0.7672, pseudo_num(acc): 0.7587, pseudo_num ig(acc): 0.3866, loss: 0.9295
2021-11-06 21:29:39,776 - mmdet - INFO - Iter [21550/40000]	lr: 2.000e-02, eta: 9:46:57, time: 1.668, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0344, loss_cls: 0.0826, acc: 96.7662, loss_bbox: 0.1625, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0967, loss_cls_unlabeled: 0.1592, acc_unlabeled: 92.0221, loss_bbox_unlabeled: 0.1767, losses_cls_ig_unlabeled: 0.1371, pseudo_num: 1.6794, pseudo_num_ig: 6.0759, pseudo_num_mining: 0.7679, pseudo_num(acc): 0.7588, pseudo_num ig(acc): 0.3867, loss: 0.9450
2021-11-06 21:31:03,801 - mmdet - INFO - Iter [21600/40000]	lr: 2.000e-02, eta: 9:45:12, time: 1.678, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0338, loss_cls: 0.0791, acc: 96.9014, loss_bbox: 0.1586, loss_rpn_cls_unlabeled: 0.0801, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1537, acc_unlabeled: 91.8690, loss_bbox_unlabeled: 0.1708, losses_cls_ig_unlabeled: 0.1376, pseudo_num: 1.6791, pseudo_num_ig: 6.0755, pseudo_num_mining: 0.7685, pseudo_num(acc): 0.7590, pseudo_num ig(acc): 0.3867, loss: 0.9156
2021-11-06 21:32:27,878 - mmdet - INFO - Iter [21650/40000]	lr: 2.000e-02, eta: 9:43:27, time: 1.683, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0341, loss_cls: 0.0774, acc: 96.9620, loss_bbox: 0.1589, loss_rpn_cls_unlabeled: 0.0800, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1589, acc_unlabeled: 91.9558, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1398, pseudo_num: 1.6786, pseudo_num_ig: 6.0750, pseudo_num_mining: 0.7690, pseudo_num(acc): 0.7591, pseudo_num ig(acc): 0.3868, loss: 0.9322
2021-11-06 21:33:53,164 - mmdet - INFO - Iter [21700/40000]	lr: 2.000e-02, eta: 9:41:43, time: 1.706, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0344, loss_cls: 0.0798, acc: 96.8588, loss_bbox: 0.1596, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1623, acc_unlabeled: 91.9646, loss_bbox_unlabeled: 0.1790, losses_cls_ig_unlabeled: 0.1353, pseudo_num: 1.6784, pseudo_num_ig: 6.0739, pseudo_num_mining: 0.7695, pseudo_num(acc): 0.7592, pseudo_num ig(acc): 0.3868, loss: 0.9382
2021-11-06 21:35:17,330 - mmdet - INFO - Iter [21750/40000]	lr: 2.000e-02, eta: 9:39:58, time: 1.685, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0350, loss_cls: 0.0789, acc: 96.9001, loss_bbox: 0.1610, loss_rpn_cls_unlabeled: 0.0821, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1573, acc_unlabeled: 92.0305, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1343, pseudo_num: 1.6781, pseudo_num_ig: 6.0731, pseudo_num_mining: 0.7700, pseudo_num(acc): 0.7594, pseudo_num ig(acc): 0.3869, loss: 0.9204
2021-11-06 21:36:42,422 - mmdet - INFO - Iter [21800/40000]	lr: 2.000e-02, eta: 9:38:14, time: 1.699, data_time: 0.024, memory: 26488, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0352, loss_cls: 0.0780, acc: 96.9351, loss_bbox: 0.1605, loss_rpn_cls_unlabeled: 0.0816, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1461, acc_unlabeled: 91.9918, loss_bbox_unlabeled: 0.1693, losses_cls_ig_unlabeled: 0.1376, pseudo_num: 1.6778, pseudo_num_ig: 6.0726, pseudo_num_mining: 0.7706, pseudo_num(acc): 0.7595, pseudo_num ig(acc): 0.3869, loss: 0.9161
2021-11-06 21:38:04,904 - mmdet - INFO - Iter [21850/40000]	lr: 2.000e-02, eta: 9:36:29, time: 1.651, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0320, loss_cls: 0.0771, acc: 96.9833, loss_bbox: 0.1569, loss_rpn_cls_unlabeled: 0.0885, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1524, acc_unlabeled: 91.9563, loss_bbox_unlabeled: 0.1703, losses_cls_ig_unlabeled: 0.1388, pseudo_num: 1.6776, pseudo_num_ig: 6.0722, pseudo_num_mining: 0.7711, pseudo_num(acc): 0.7597, pseudo_num ig(acc): 0.3870, loss: 0.9201
2021-11-06 21:39:31,331 - mmdet - INFO - Iter [21900/40000]	lr: 2.000e-02, eta: 9:34:46, time: 1.728, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0344, loss_cls: 0.0797, acc: 96.8645, loss_bbox: 0.1596, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1561, acc_unlabeled: 92.0660, loss_bbox_unlabeled: 0.1720, losses_cls_ig_unlabeled: 0.1376, pseudo_num: 1.6774, pseudo_num_ig: 6.0713, pseudo_num_mining: 0.7715, pseudo_num(acc): 0.7598, pseudo_num ig(acc): 0.3870, loss: 0.9273
2021-11-06 21:40:54,984 - mmdet - INFO - Iter [21950/40000]	lr: 2.000e-02, eta: 9:33:01, time: 1.674, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0337, loss_cls: 0.0787, acc: 96.9244, loss_bbox: 0.1597, loss_rpn_cls_unlabeled: 0.0857, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1597, acc_unlabeled: 91.9656, loss_bbox_unlabeled: 0.1715, losses_cls_ig_unlabeled: 0.1390, pseudo_num: 1.6772, pseudo_num_ig: 6.0707, pseudo_num_mining: 0.7719, pseudo_num(acc): 0.7600, pseudo_num ig(acc): 0.3870, loss: 0.9340
2021-11-06 21:43:32,179 - mmdet - INFO - pseudo pos: 0.98(42482.0-person) 0.86(1171.0-bicycle) 0.92(6282.0-car) 0.98(1299.0-motorcycle) 0.98(560.0-airplane) 0.99(902.0-bus) 0.98(860.0-train) 0.68(1535.0-truck) 0.65(1781.0-boat) 0.86(2272.0-traffic light) 0.99(321.0-fire hydrant) 0.96(313.0-stop sign) 0.75(294.0-parking meter) 0.63(1496.0-bench) 0.92(1271.0-bird) 0.96(797.0-cat) 0.94(794.0-dog) 0.96(1074.0-horse) 0.96(810.0-sheep) 0.84(1640.0-cow) 0.99(610.0-elephant) 1.00(229.0-bear) 0.99(1116.0-zebra) 0.99(1117.0-giraffe) 0.43(1368.0-backpack) 0.80(1807.0-umbrella) 0.42(2114.0-handbag) 0.85(975.0-tie) 0.68(1194.0-suitcase) 0.92(410.0-frisbee) 0.55(1082.0-skis) 0.21(824.0-snowboard) 0.95(901.0-sports ball) 0.74(1593.0-kite) 0.83(518.0-baseball bat) 0.81(690.0-baseball glove) 0.96(831.0-skateboard) 0.84(928.0-surfboard) 0.95(500.0-tennis racket) 0.82(3455.0-bottle) 0.92(998.0-wine glass) 0.81(3710.0-cup) 0.39(574.0-fork) 0.31(1491.0-knife) 0.28(1091.0-spoon) 0.71(3267.0-bowl) 0.61(1515.0-banana) 0.33(1563.0-apple) 0.40(1623.0-sandwich) 0.40(813.0-orange) 0.66(995.0-broccoli) 0.42(1248.0-carrot) 0.03(6708.0-hot dog) 0.94(968.0-pizza) 0.70(1357.0-donut) 0.52(1069.0-cake) 0.62(7721.0-chair) 0.76(927.0-couch) 0.64(1605.0-potted plant) 0.90(726.0-bed) 0.68(3257.0-dining table) 0.92(597.0-toilet) 0.94(1023.0-tv) 0.97(763.0-laptop) 0.95(227.0-mouse) 0.58(746.0-remote) 0.74(472.0-keyboard) 0.65(1176.0-cell phone) 0.96(312.0-microwave) 0.76(739.0-oven) 0.21(29.0-toaster) 0.78(972.0-sink) 0.91(440.0-refrigerator) 0.23(3730.0-book) 0.96(872.0-clock) 0.86(889.0-vase) 0.50(263.0-scissors) 0.93(434.0-teddy bear) 0.00(0.0-hair drier) 0.21(457.0-toothbrush)
2021-11-06 21:43:32,180 - mmdet - INFO - pseudo ig: 0.56(158425.0-person) 0.30(4462.0-bicycle) 0.45(25559.0-car) 0.49(4813.0-motorcycle) 0.71(1913.0-airplane) 0.60(3428.0-bus) 0.51(2874.0-train) 0.30(5874.0-truck) 0.27(6957.0-boat) 0.28(9201.0-traffic light) 0.55(1151.0-fire hydrant) 0.50(1310.0-stop sign) 0.21(868.0-parking meter) 0.18(5630.0-bench) 0.32(4271.0-bird) 0.68(2801.0-cat) 0.62(2677.0-dog) 0.51(3948.0-horse) 0.70(3237.0-sheep) 0.32(6674.0-cow) 0.80(2668.0-elephant) 0.60(842.0-bear) 0.50(4295.0-zebra) 0.67(3471.0-giraffe) 0.18(5228.0-backpack) 0.33(7157.0-umbrella) 0.13(8677.0-handbag) 0.29(3986.0-tie) 0.20(4290.0-suitcase) 0.41(1741.0-frisbee) 0.27(4056.0-skis) 0.16(1558.0-snowboard) 0.34(3954.0-sports ball) 0.31(6082.0-kite) 0.26(2039.0-baseball bat) 0.25(2738.0-baseball glove) 0.42(3084.0-skateboard) 0.36(3500.0-surfboard) 0.67(2141.0-tennis racket) 0.32(14828.0-bottle) 0.36(4137.0-wine glass) 0.28(15125.0-cup) 0.22(2322.0-fork) 0.12(5879.0-knife) 0.10(4652.0-spoon) 0.26(13009.0-bowl) 0.22(6194.0-banana) 0.13(5008.0-apple) 0.19(3215.0-sandwich) 0.28(2070.0-orange) 0.33(4368.0-broccoli) 0.16(5139.0-carrot) 0.10(1000.0-hot dog) 0.47(3484.0-pizza) 0.26(4934.0-donut) 0.21(3806.0-cake) 0.20(30635.0-chair) 0.32(3405.0-couch) 0.27(6126.0-potted plant) 0.43(2570.0-bed) 0.29(10080.0-dining table) 0.59(2573.0-toilet) 0.47(3549.0-tv) 0.53(2663.0-laptop) 0.56(843.0-mouse) 0.20(3199.0-remote) 0.45(1753.0-keyboard) 0.21(4535.0-cell phone) 0.35(1111.0-microwave) 0.24(2565.0-oven) 0.17(53.0-toaster) 0.37(3611.0-sink) 0.32(1587.0-refrigerator) 0.11(15270.0-book) 0.58(3371.0-clock) 0.35(3466.0-vase) 0.21(1043.0-scissors) 0.62(1643.0-teddy bear) 0.00(0.0-hair drier) 0.05(1533.0-toothbrush)
2021-11-06 21:43:32,180 - mmdet - INFO - pseudo gt: 192672.0 5135.0 32195.0 6657.0 3928.0 4713.0 3331.0 7356.0 7885.0 9274.0 1424.0 1500.0 946.0 7433.0 7763.0 3540.0 4062.0 5059.0 7354.0 6100.0 4258.0 984.0 3903.0 3989.0 6750.0 8309.0 9502.0 4716.0 4696.0 2004.0 4843.0 1969.0 4860.0 6613.0 2470.0 2723.0 4120.0 4425.0 3590.0 17614.0 5729.0 15127.0 4010.0 5816.0 4510.0 10537.0 6895.0 4446.0 3088.0 4568.0 5140.0 5835.0 2147.0 4441.0 4839.0 4664.0 28608.0 4261.0 6360.0 3122.0 11697.0 3075.0 4391.0 3851.0 1727.0 4287.0 2086.0 4804.0 1179.0 2366.0 163.0 4111.0 1907.0 18221.0 4630.0 4664.0 1111.0 3317.0 143.0 1536.0
2021-11-06 21:43:32,180 - mmdet - INFO - pseudo mining: 33163.0 110.0 4233.0 405.0 407.0 634.0 352.0 166.0 316.0 985.0 327.0 769.0 12.0 30.0 161.0 560.0 273.0 564.0 1326.0 340.0 1155.0 222.0 1022.0 1217.0 51.0 626.0 39.0 179.0 38.0 371.0 59.0 21.0 1051.0 1337.0 223.0 377.0 299.0 163.0 970.0 1198.0 197.0 1056.0 9.0 44.0 22.0 1004.0 160.0 105.0 81.0 466.0 459.0 170.0 1.0 363.0 503.0 70.0 133.0 64.0 390.0 56.0 208.0 953.0 864.0 434.0 323.0 58.0 344.0 229.0 122.0 53.0 0.0 558.0 55.0 136.0 1926.0 80.0 5.0 423.0 0.0 0.0
2021-11-06 21:44:25,577 - mmdet - INFO - Evaluating bbox...
2021-11-06 21:45:28,072 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.379 | bicycle      | 0.165 | car            | 0.301 |
| motorcycle    | 0.237 | airplane     | 0.290 | bus            | 0.441 |
| train         | 0.364 | truck        | 0.130 | boat           | 0.118 |
| traffic light | 0.181 | fire hydrant | 0.452 | stop sign      | 0.374 |
| parking meter | 0.301 | bench        | 0.116 | bird           | 0.163 |
| cat           | 0.380 | dog          | 0.306 | horse          | 0.366 |
| sheep         | 0.263 | cow          | 0.336 | elephant       | 0.429 |
| bear          | 0.494 | zebra        | 0.448 | giraffe        | 0.459 |
| backpack      | 0.048 | umbrella     | 0.176 | handbag        | 0.047 |
| tie           | 0.182 | suitcase     | 0.108 | frisbee        | 0.416 |
| skis          | 0.077 | snowboard    | 0.036 | sports ball    | 0.302 |
| kite          | 0.221 | baseball bat | 0.117 | baseball glove | 0.200 |
| skateboard    | 0.267 | surfboard    | 0.166 | tennis racket  | 0.227 |
| bottle        | 0.236 | wine glass   | 0.186 | cup            | 0.245 |
| fork          | 0.048 | knife        | 0.036 | spoon          | 0.022 |
| bowl          | 0.266 | banana       | 0.090 | apple          | 0.088 |
| sandwich      | 0.198 | orange       | 0.139 | broccoli       | 0.117 |
| carrot        | 0.051 | hot dog      | 0.045 | pizza          | 0.349 |
| donut         | 0.209 | cake         | 0.106 | chair          | 0.109 |
| couch         | 0.207 | potted plant | 0.115 | bed            | 0.281 |
| dining table  | 0.149 | toilet       | 0.387 | tv             | 0.387 |
| laptop        | 0.366 | mouse        | 0.436 | remote         | 0.064 |
| keyboard      | 0.287 | cell phone   | 0.171 | microwave      | 0.287 |
| oven          | 0.168 | toaster      | 0.031 | sink           | 0.171 |
| refrigerator  | 0.318 | book         | 0.019 | clock          | 0.373 |
| vase          | 0.209 | scissors     | 0.149 | teddy bear     | 0.242 |
| hair drier    | 0.000 | toothbrush   | 0.033 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 21:46:20,137 - mmdet - INFO - Evaluating bbox...
2021-11-06 21:47:25,163 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.399 | bicycle      | 0.177 | car            | 0.312 |
| motorcycle    | 0.252 | airplane     | 0.336 | bus            | 0.477 |
| train         | 0.413 | truck        | 0.149 | boat           | 0.128 |
| traffic light | 0.209 | fire hydrant | 0.488 | stop sign      | 0.459 |
| parking meter | 0.355 | bench        | 0.120 | bird           | 0.183 |
| cat           | 0.437 | dog          | 0.386 | horse          | 0.397 |
| sheep         | 0.289 | cow          | 0.368 | elephant       | 0.435 |
| bear          | 0.493 | zebra        | 0.470 | giraffe        | 0.506 |
| backpack      | 0.055 | umbrella     | 0.200 | handbag        | 0.052 |
| tie           | 0.193 | suitcase     | 0.122 | frisbee        | 0.428 |
| skis          | 0.075 | snowboard    | 0.061 | sports ball    | 0.312 |
| kite          | 0.237 | baseball bat | 0.129 | baseball glove | 0.216 |
| skateboard    | 0.288 | surfboard    | 0.189 | tennis racket  | 0.262 |
| bottle        | 0.256 | wine glass   | 0.207 | cup            | 0.267 |
| fork          | 0.044 | knife        | 0.043 | spoon          | 0.028 |
| bowl          | 0.286 | banana       | 0.092 | apple          | 0.081 |
| sandwich      | 0.215 | orange       | 0.158 | broccoli       | 0.140 |
| carrot        | 0.059 | hot dog      | 0.063 | pizza          | 0.353 |
| donut         | 0.221 | cake         | 0.125 | chair          | 0.118 |
| couch         | 0.245 | potted plant | 0.126 | bed            | 0.305 |
| dining table  | 0.154 | toilet       | 0.399 | tv             | 0.397 |
| laptop        | 0.400 | mouse        | 0.426 | remote         | 0.070 |
| keyboard      | 0.265 | cell phone   | 0.187 | microwave      | 0.324 |
| oven          | 0.179 | toaster      | 0.036 | sink           | 0.172 |
| refrigerator  | 0.339 | book         | 0.022 | clock          | 0.391 |
| vase          | 0.217 | scissors     | 0.161 | teddy bear     | 0.278 |
| hair drier    | 0.000 | toothbrush   | 0.044 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 21:48:50,169 - mmdet - INFO - current percent: 0.2
2021-11-06 21:48:50,170 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (0.99-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.98-parking meter) (0.95-bench) (0.99-bird) (1.00-cat) (1.00-dog) (1.00-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.95-backpack) (0.99-umbrella) (0.86-handbag) (0.98-tie) (0.97-suitcase) (0.99-frisbee) (0.97-skis) (0.89-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (1.00-baseball glove) (0.99-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.98-cup) (0.93-fork) (0.93-knife) (0.92-spoon) (0.99-bowl) (0.94-banana) (0.95-apple) (0.96-sandwich) (0.99-orange) (0.99-broccoli) (0.96-carrot) (0.90-hot dog) (0.99-pizza) (0.99-donut) (0.98-cake) (0.93-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.92-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.98-oven) (0.66-toaster) (0.99-sink) (1.00-refrigerator) (0.93-book) (1.00-clock) (0.98-vase) (0.76-scissors) (1.00-teddy bear) (0.05-hair drier) (0.53-toothbrush)
2021-11-06 21:48:50,170 - mmdet - INFO - update score thr (ignore): (0.17-person) (0.18-bicycle) (0.36-car) (0.17-motorcycle) (0.49-airplane) (0.35-bus) (0.24-train) (0.35-truck) (0.31-boat) (0.37-traffic light) (0.53-fire hydrant) (0.82-stop sign) (0.07-parking meter) (0.21-bench) (0.13-bird) (0.65-cat) (0.62-dog) (0.21-horse) (0.88-sheep) (0.29-cow) (0.40-elephant) (0.58-bear) (0.11-zebra) (0.05-giraffe) (0.31-backpack) (0.14-umbrella) (0.17-handbag) (0.13-tie) (0.18-suitcase) (0.51-frisbee) (0.22-skis) (0.22-snowboard) (0.33-sports ball) (0.32-kite) (0.42-baseball bat) (0.56-baseball glove) (0.22-skateboard) (0.29-surfboard) (0.61-tennis racket) (0.30-bottle) (0.15-wine glass) (0.22-cup) (0.09-fork) (0.29-knife) (0.18-spoon) (0.31-bowl) (0.08-banana) (0.23-apple) (0.32-sandwich) (0.73-orange) (0.45-broccoli) (0.50-carrot) (0.38-hot dog) (0.26-pizza) (0.52-donut) (0.27-cake) (0.13-chair) (0.36-couch) (0.31-potted plant) (0.38-bed) (0.26-dining table) (0.52-toilet) (0.51-tv) (0.23-laptop) (0.69-mouse) (0.22-remote) (0.40-keyboard) (0.35-cell phone) (0.52-microwave) (0.21-oven) (0.17-toaster) (0.40-sink) (0.48-refrigerator) (0.25-book) (0.65-clock) (0.20-vase) (0.12-scissors) (0.62-teddy bear) (0.05-hair drier) (0.07-toothbrush)
2021-11-06 21:48:50,459 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 21:48:50,459 - mmdet - INFO - Iter [22000/40000]	lr: 2.000e-02, eta: 9:32:18, time: 3.172, data_time: 0.025, memory: 26488, bbox_mAP: 0.2370, bbox_mAP_50: 0.4130, bbox_mAP_75: 0.2450, bbox_mAP_s: 0.1140, bbox_mAP_m: 0.2610, bbox_mAP_l: 0.3200, bbox_mAP_copypaste: 0.237 0.413 0.245 0.114 0.261 0.320, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0339, loss_cls: 0.0768, acc: 97.0048, loss_bbox: 0.1572, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1588, acc_unlabeled: 92.0444, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1328, pseudo_num: 1.6769, pseudo_num_ig: 6.0700, pseudo_num_mining: 0.7724, pseudo_num(acc): 0.7601, pseudo_num ig(acc): 0.3870, loss: 0.9221
2021-11-06 21:50:14,245 - mmdet - INFO - Iter [22050/40000]	lr: 2.000e-02, eta: 9:34:51, time: 8.012, data_time: 6.363, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0330, loss_cls: 0.0794, acc: 96.8478, loss_bbox: 0.1588, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1677, acc_unlabeled: 91.7761, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1356, pseudo_num: 1.6767, pseudo_num_ig: 6.0698, pseudo_num_mining: 0.7729, pseudo_num(acc): 0.7603, pseudo_num ig(acc): 0.3871, loss: 0.9491
2021-11-06 21:51:38,398 - mmdet - INFO - Iter [22100/40000]	lr: 2.000e-02, eta: 9:33:05, time: 1.682, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0349, loss_cls: 0.0785, acc: 96.9465, loss_bbox: 0.1603, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1596, acc_unlabeled: 91.8334, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1367, pseudo_num: 1.6766, pseudo_num_ig: 6.0697, pseudo_num_mining: 0.7735, pseudo_num(acc): 0.7604, pseudo_num ig(acc): 0.3871, loss: 0.9392
2021-11-06 21:53:02,476 - mmdet - INFO - Iter [22150/40000]	lr: 2.000e-02, eta: 9:31:19, time: 1.682, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0346, loss_cls: 0.0790, acc: 96.8931, loss_bbox: 0.1573, loss_rpn_cls_unlabeled: 0.0896, loss_rpn_bbox_unlabeled: 0.0984, loss_cls_unlabeled: 0.1580, acc_unlabeled: 91.7448, loss_bbox_unlabeled: 0.1703, losses_cls_ig_unlabeled: 0.1423, pseudo_num: 1.6761, pseudo_num_ig: 6.0693, pseudo_num_mining: 0.7741, pseudo_num(acc): 0.7605, pseudo_num ig(acc): 0.3871, loss: 0.9410
2021-11-06 21:54:26,630 - mmdet - INFO - Iter [22200/40000]	lr: 2.000e-02, eta: 9:29:34, time: 1.682, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0345, loss_cls: 0.0782, acc: 96.9554, loss_bbox: 0.1568, loss_rpn_cls_unlabeled: 0.0826, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1578, acc_unlabeled: 91.9315, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1335, pseudo_num: 1.6758, pseudo_num_ig: 6.0692, pseudo_num_mining: 0.7748, pseudo_num(acc): 0.7607, pseudo_num ig(acc): 0.3871, loss: 0.9277
2021-11-06 21:55:50,646 - mmdet - INFO - Iter [22250/40000]	lr: 2.000e-02, eta: 9:27:48, time: 1.680, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0330, loss_cls: 0.0821, acc: 96.7922, loss_bbox: 0.1611, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1661, acc_unlabeled: 91.6622, loss_bbox_unlabeled: 0.1828, losses_cls_ig_unlabeled: 0.1379, pseudo_num: 1.6756, pseudo_num_ig: 6.0692, pseudo_num_mining: 0.7755, pseudo_num(acc): 0.7608, pseudo_num ig(acc): 0.3872, loss: 0.9520
2021-11-06 21:57:15,114 - mmdet - INFO - Iter [22300/40000]	lr: 2.000e-02, eta: 9:26:03, time: 1.691, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0351, loss_cls: 0.0790, acc: 96.8881, loss_bbox: 0.1590, loss_rpn_cls_unlabeled: 0.0899, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1668, acc_unlabeled: 91.5283, loss_bbox_unlabeled: 0.1852, losses_cls_ig_unlabeled: 0.1415, pseudo_num: 1.6754, pseudo_num_ig: 6.0691, pseudo_num_mining: 0.7761, pseudo_num(acc): 0.7610, pseudo_num ig(acc): 0.3872, loss: 0.9656
2021-11-06 21:58:39,654 - mmdet - INFO - Iter [22350/40000]	lr: 2.000e-02, eta: 9:24:18, time: 1.691, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0339, loss_cls: 0.0790, acc: 96.8950, loss_bbox: 0.1592, loss_rpn_cls_unlabeled: 0.0826, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1586, acc_unlabeled: 91.7548, loss_bbox_unlabeled: 0.1737, losses_cls_ig_unlabeled: 0.1368, pseudo_num: 1.6752, pseudo_num_ig: 6.0691, pseudo_num_mining: 0.7767, pseudo_num(acc): 0.7611, pseudo_num ig(acc): 0.3872, loss: 0.9306
2021-11-06 22:00:04,103 - mmdet - INFO - Iter [22400/40000]	lr: 2.000e-02, eta: 9:22:33, time: 1.688, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0343, loss_cls: 0.0790, acc: 96.8901, loss_bbox: 0.1600, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1607, acc_unlabeled: 91.6819, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1385, pseudo_num: 1.6749, pseudo_num_ig: 6.0690, pseudo_num_mining: 0.7772, pseudo_num(acc): 0.7612, pseudo_num ig(acc): 0.3872, loss: 0.9405
2021-11-06 22:01:31,057 - mmdet - INFO - Iter [22450/40000]	lr: 2.000e-02, eta: 9:20:50, time: 1.738, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0318, loss_cls: 0.0743, acc: 97.0938, loss_bbox: 0.1491, loss_rpn_cls_unlabeled: 0.0900, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1594, acc_unlabeled: 91.7573, loss_bbox_unlabeled: 0.1758, losses_cls_ig_unlabeled: 0.1373, pseudo_num: 1.6745, pseudo_num_ig: 6.0686, pseudo_num_mining: 0.7778, pseudo_num(acc): 0.7614, pseudo_num ig(acc): 0.3872, loss: 0.9210
2021-11-06 22:02:53,243 - mmdet - INFO - pseudo pos: 0.98(43491.0-person) 0.86(1190.0-bicycle) 0.92(6414.0-car) 0.98(1317.0-motorcycle) 0.98(571.0-airplane) 0.99(918.0-bus) 0.98(882.0-train) 0.68(1565.0-truck) 0.65(1839.0-boat) 0.87(2314.0-traffic light) 0.99(325.0-fire hydrant) 0.97(323.0-stop sign) 0.75(304.0-parking meter) 0.63(1526.0-bench) 0.92(1300.0-bird) 0.96(806.0-cat) 0.94(804.0-dog) 0.96(1106.0-horse) 0.96(829.0-sheep) 0.84(1652.0-cow) 0.99(626.0-elephant) 0.99(235.0-bear) 0.99(1138.0-zebra) 0.99(1151.0-giraffe) 0.43(1391.0-backpack) 0.80(1855.0-umbrella) 0.42(2175.0-handbag) 0.85(1001.0-tie) 0.68(1212.0-suitcase) 0.91(416.0-frisbee) 0.56(1104.0-skis) 0.21(831.0-snowboard) 0.96(922.0-sports ball) 0.74(1627.0-kite) 0.82(527.0-baseball bat) 0.81(698.0-baseball glove) 0.96(854.0-skateboard) 0.84(950.0-surfboard) 0.95(510.0-tennis racket) 0.82(3548.0-bottle) 0.92(1017.0-wine glass) 0.81(3801.0-cup) 0.40(592.0-fork) 0.31(1534.0-knife) 0.28(1121.0-spoon) 0.71(3362.0-bowl) 0.62(1542.0-banana) 0.33(1598.0-apple) 0.40(1646.0-sandwich) 0.40(824.0-orange) 0.66(1027.0-broccoli) 0.42(1276.0-carrot) 0.03(6713.0-hot dog) 0.95(989.0-pizza) 0.70(1375.0-donut) 0.52(1092.0-cake) 0.62(7883.0-chair) 0.76(947.0-couch) 0.64(1632.0-potted plant) 0.90(743.0-bed) 0.68(3331.0-dining table) 0.92(605.0-toilet) 0.95(1044.0-tv) 0.97(774.0-laptop) 0.95(234.0-mouse) 0.59(785.0-remote) 0.74(484.0-keyboard) 0.65(1196.0-cell phone) 0.96(320.0-microwave) 0.76(756.0-oven) 0.21(29.0-toaster) 0.79(1005.0-sink) 0.90(447.0-refrigerator) 0.23(3815.0-book) 0.96(882.0-clock) 0.87(918.0-vase) 0.51(267.0-scissors) 0.93(440.0-teddy bear) 0.00(0.0-hair drier) 0.21(469.0-toothbrush)
2021-11-06 22:02:53,244 - mmdet - INFO - pseudo ig: 0.56(162169.0-person) 0.30(4539.0-bicycle) 0.45(26144.0-car) 0.49(4885.0-motorcycle) 0.71(1961.0-airplane) 0.60(3517.0-bus) 0.51(2943.0-train) 0.30(5998.0-truck) 0.28(7129.0-boat) 0.28(9365.0-traffic light) 0.55(1190.0-fire hydrant) 0.50(1331.0-stop sign) 0.21(891.0-parking meter) 0.18(5726.0-bench) 0.32(4389.0-bird) 0.68(2846.0-cat) 0.62(2731.0-dog) 0.51(4057.0-horse) 0.70(3285.0-sheep) 0.33(6787.0-cow) 0.80(2716.0-elephant) 0.60(860.0-bear) 0.51(4360.0-zebra) 0.67(3591.0-giraffe) 0.18(5341.0-backpack) 0.33(7341.0-umbrella) 0.13(8873.0-handbag) 0.29(4116.0-tie) 0.20(4376.0-suitcase) 0.41(1783.0-frisbee) 0.27(4177.0-skis) 0.16(1594.0-snowboard) 0.34(4042.0-sports ball) 0.32(6268.0-kite) 0.26(2085.0-baseball bat) 0.26(2791.0-baseball glove) 0.42(3141.0-skateboard) 0.36(3593.0-surfboard) 0.67(2180.0-tennis racket) 0.32(15186.0-bottle) 0.36(4225.0-wine glass) 0.28(15522.0-cup) 0.22(2374.0-fork) 0.12(6007.0-knife) 0.10(4777.0-spoon) 0.26(13343.0-bowl) 0.22(6337.0-banana) 0.13(5139.0-apple) 0.20(3270.0-sandwich) 0.28(2108.0-orange) 0.33(4455.0-broccoli) 0.16(5258.0-carrot) 0.11(1016.0-hot dog) 0.46(3567.0-pizza) 0.26(5005.0-donut) 0.22(3913.0-cake) 0.20(31299.0-chair) 0.32(3477.0-couch) 0.27(6275.0-potted plant) 0.43(2623.0-bed) 0.29(10326.0-dining table) 0.59(2622.0-toilet) 0.47(3626.0-tv) 0.53(2712.0-laptop) 0.56(865.0-mouse) 0.20(3264.0-remote) 0.45(1784.0-keyboard) 0.21(4637.0-cell phone) 0.35(1138.0-microwave) 0.23(2658.0-oven) 0.19(54.0-toaster) 0.37(3691.0-sink) 0.33(1621.0-refrigerator) 0.12(15582.0-book) 0.58(3440.0-clock) 0.35(3576.0-vase) 0.21(1067.0-scissors) 0.62(1691.0-teddy bear) 0.00(0.0-hair drier) 0.05(1574.0-toothbrush)
2021-11-06 22:02:53,244 - mmdet - INFO - pseudo gt: 197123.0 5244.0 32836.0 6741.0 4006.0 4814.0 3403.0 7526.0 8117.0 9470.0 1458.0 1528.0 973.0 7570.0 7870.0 3601.0 4148.0 5207.0 7462.0 6207.0 4350.0 1006.0 3979.0 4097.0 6886.0 8538.0 9713.0 4866.0 4816.0 2053.0 4977.0 2036.0 4965.0 6816.0 2520.0 2777.0 4208.0 4517.0 3652.0 17998.0 5826.0 15527.0 4126.0 5924.0 4652.0 10822.0 7037.0 4549.0 3156.0 4686.0 5260.0 5956.0 2209.0 4554.0 4920.0 4764.0 29234.0 4356.0 6521.0 3184.0 11961.0 3125.0 4473.0 3927.0 1767.0 4407.0 2123.0 4884.0 1209.0 2444.0 167.0 4215.0 1964.0 18671.0 4726.0 4827.0 1136.0 3389.0 148.0 1566.0
2021-11-06 22:02:53,245 - mmdet - INFO - pseudo mining: 34177.0 112.0 4398.0 410.0 419.0 657.0 369.0 172.0 330.0 1024.0 346.0 785.0 12.0 31.0 173.0 583.0 286.0 598.0 1360.0 354.0 1176.0 227.0 1050.0 1264.0 52.0 646.0 39.0 188.0 46.0 385.0 66.0 22.0 1083.0 1385.0 240.0 389.0 306.0 171.0 997.0 1232.0 203.0 1094.0 9.0 46.0 23.0 1057.0 161.0 109.0 81.0 485.0 480.0 176.0 1.0 374.0 524.0 79.0 138.0 68.0 408.0 61.0 220.0 979.0 890.0 446.0 334.0 61.0 358.0 234.0 127.0 55.0 0.0 577.0 57.0 145.0 1968.0 96.0 5.0 442.0 0.0 0.0
2021-11-06 22:02:54,985 - mmdet - INFO - Iter [22500/40000]	lr: 2.000e-02, eta: 9:19:05, time: 1.679, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0336, loss_cls: 0.0785, acc: 96.9276, loss_bbox: 0.1565, loss_rpn_cls_unlabeled: 0.0819, loss_rpn_bbox_unlabeled: 0.0949, loss_cls_unlabeled: 0.1635, acc_unlabeled: 91.4935, loss_bbox_unlabeled: 0.1791, losses_cls_ig_unlabeled: 0.1412, pseudo_num: 1.6743, pseudo_num_ig: 6.0687, pseudo_num_mining: 0.7784, pseudo_num(acc): 0.7614, pseudo_num ig(acc): 0.3872, loss: 0.9398
2021-11-06 22:04:21,176 - mmdet - INFO - Iter [22550/40000]	lr: 2.000e-02, eta: 9:17:22, time: 1.723, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0346, loss_cls: 0.0776, acc: 96.9408, loss_bbox: 0.1550, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1535, acc_unlabeled: 91.9341, loss_bbox_unlabeled: 0.1741, losses_cls_ig_unlabeled: 0.1347, pseudo_num: 1.6740, pseudo_num_ig: 6.0687, pseudo_num_mining: 0.7790, pseudo_num(acc): 0.7616, pseudo_num ig(acc): 0.3872, loss: 0.9159
2021-11-06 22:05:45,949 - mmdet - INFO - Iter [22600/40000]	lr: 2.000e-02, eta: 9:15:38, time: 1.697, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0361, loss_cls: 0.0802, acc: 96.8350, loss_bbox: 0.1627, loss_rpn_cls_unlabeled: 0.0874, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1602, acc_unlabeled: 91.7064, loss_bbox_unlabeled: 0.1769, losses_cls_ig_unlabeled: 0.1391, pseudo_num: 1.6739, pseudo_num_ig: 6.0684, pseudo_num_mining: 0.7795, pseudo_num(acc): 0.7617, pseudo_num ig(acc): 0.3873, loss: 0.9501
2021-11-06 22:07:11,437 - mmdet - INFO - Iter [22650/40000]	lr: 2.000e-02, eta: 9:13:54, time: 1.710, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0337, loss_cls: 0.0765, acc: 97.0320, loss_bbox: 0.1556, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1679, acc_unlabeled: 91.5892, loss_bbox_unlabeled: 0.1808, losses_cls_ig_unlabeled: 0.1394, pseudo_num: 1.6737, pseudo_num_ig: 6.0688, pseudo_num_mining: 0.7801, pseudo_num(acc): 0.7618, pseudo_num ig(acc): 0.3873, loss: 0.9505
2021-11-06 22:08:36,093 - mmdet - INFO - Iter [22700/40000]	lr: 2.000e-02, eta: 9:12:10, time: 1.688, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0345, loss_cls: 0.0796, acc: 96.8907, loss_bbox: 0.1595, loss_rpn_cls_unlabeled: 0.0781, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1588, acc_unlabeled: 91.7543, loss_bbox_unlabeled: 0.1758, losses_cls_ig_unlabeled: 0.1395, pseudo_num: 1.6735, pseudo_num_ig: 6.0685, pseudo_num_mining: 0.7807, pseudo_num(acc): 0.7619, pseudo_num ig(acc): 0.3873, loss: 0.9290
2021-11-06 22:10:01,599 - mmdet - INFO - Iter [22750/40000]	lr: 2.000e-02, eta: 9:10:26, time: 1.715, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0342, loss_cls: 0.0760, acc: 97.0275, loss_bbox: 0.1549, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0987, loss_cls_unlabeled: 0.1626, acc_unlabeled: 91.9169, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6735, pseudo_num_ig: 6.0682, pseudo_num_mining: 0.7812, pseudo_num(acc): 0.7621, pseudo_num ig(acc): 0.3873, loss: 0.9376
2021-11-06 22:11:24,458 - mmdet - INFO - Iter [22800/40000]	lr: 2.000e-02, eta: 9:08:41, time: 1.657, data_time: 0.034, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0342, loss_cls: 0.0793, acc: 96.8960, loss_bbox: 0.1598, loss_rpn_cls_unlabeled: 0.0864, loss_rpn_bbox_unlabeled: 0.0959, loss_cls_unlabeled: 0.1687, acc_unlabeled: 91.6006, loss_bbox_unlabeled: 0.1831, losses_cls_ig_unlabeled: 0.1412, pseudo_num: 1.6735, pseudo_num_ig: 6.0683, pseudo_num_mining: 0.7818, pseudo_num(acc): 0.7622, pseudo_num ig(acc): 0.3873, loss: 0.9600
2021-11-06 22:12:50,577 - mmdet - INFO - Iter [22850/40000]	lr: 2.000e-02, eta: 9:06:58, time: 1.721, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0345, loss_cls: 0.0802, acc: 96.8706, loss_bbox: 0.1631, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1634, acc_unlabeled: 91.6694, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1391, pseudo_num: 1.6733, pseudo_num_ig: 6.0681, pseudo_num_mining: 0.7824, pseudo_num(acc): 0.7623, pseudo_num ig(acc): 0.3874, loss: 0.9549
2021-11-06 22:14:15,693 - mmdet - INFO - Iter [22900/40000]	lr: 2.000e-02, eta: 9:05:14, time: 1.705, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0346, loss_cls: 0.0781, acc: 96.9540, loss_bbox: 0.1592, loss_rpn_cls_unlabeled: 0.0798, loss_rpn_bbox_unlabeled: 0.0974, loss_cls_unlabeled: 0.1517, acc_unlabeled: 91.8378, loss_bbox_unlabeled: 0.1704, losses_cls_ig_unlabeled: 0.1365, pseudo_num: 1.6731, pseudo_num_ig: 6.0679, pseudo_num_mining: 0.7830, pseudo_num(acc): 0.7625, pseudo_num ig(acc): 0.3874, loss: 0.9188
2021-11-06 22:15:41,692 - mmdet - INFO - Iter [22950/40000]	lr: 2.000e-02, eta: 9:03:31, time: 1.719, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0343, loss_cls: 0.0769, acc: 96.9624, loss_bbox: 0.1566, loss_rpn_cls_unlabeled: 0.0797, loss_rpn_bbox_unlabeled: 0.0967, loss_cls_unlabeled: 0.1547, acc_unlabeled: 91.9246, loss_bbox_unlabeled: 0.1738, losses_cls_ig_unlabeled: 0.1379, pseudo_num: 1.6729, pseudo_num_ig: 6.0677, pseudo_num_mining: 0.7835, pseudo_num(acc): 0.7626, pseudo_num ig(acc): 0.3874, loss: 0.9209
2021-11-06 22:17:05,496 - mmdet - INFO - pseudo pos: 0.98(44581.0-person) 0.86(1223.0-bicycle) 0.92(6546.0-car) 0.98(1335.0-motorcycle) 0.98(582.0-airplane) 0.99(927.0-bus) 0.97(913.0-train) 0.69(1603.0-truck) 0.66(1868.0-boat) 0.87(2351.0-traffic light) 0.99(328.0-fire hydrant) 0.97(327.0-stop sign) 0.74(307.0-parking meter) 0.63(1555.0-bench) 0.92(1319.0-bird) 0.96(818.0-cat) 0.94(822.0-dog) 0.96(1129.0-horse) 0.96(846.0-sheep) 0.84(1687.0-cow) 0.99(648.0-elephant) 0.99(241.0-bear) 0.99(1174.0-zebra) 0.99(1180.0-giraffe) 0.43(1426.0-backpack) 0.80(1883.0-umbrella) 0.43(2219.0-handbag) 0.85(1034.0-tie) 0.68(1238.0-suitcase) 0.91(427.0-frisbee) 0.56(1126.0-skis) 0.21(837.0-snowboard) 0.96(949.0-sports ball) 0.74(1665.0-kite) 0.82(544.0-baseball bat) 0.81(710.0-baseball glove) 0.96(873.0-skateboard) 0.84(975.0-surfboard) 0.94(526.0-tennis racket) 0.82(3644.0-bottle) 0.92(1061.0-wine glass) 0.80(3890.0-cup) 0.40(608.0-fork) 0.31(1569.0-knife) 0.28(1146.0-spoon) 0.71(3438.0-bowl) 0.61(1596.0-banana) 0.33(1616.0-apple) 0.41(1666.0-sandwich) 0.41(826.0-orange) 0.66(1047.0-broccoli) 0.42(1306.0-carrot) 0.03(6718.0-hot dog) 0.95(1014.0-pizza) 0.71(1403.0-donut) 0.52(1111.0-cake) 0.62(8019.0-chair) 0.76(970.0-couch) 0.64(1662.0-potted plant) 0.91(759.0-bed) 0.68(3415.0-dining table) 0.92(616.0-toilet) 0.95(1067.0-tv) 0.97(795.0-laptop) 0.95(237.0-mouse) 0.60(801.0-remote) 0.74(487.0-keyboard) 0.65(1233.0-cell phone) 0.95(328.0-microwave) 0.76(772.0-oven) 0.21(29.0-toaster) 0.78(1023.0-sink) 0.91(457.0-refrigerator) 0.23(3923.0-book) 0.96(898.0-clock) 0.87(932.0-vase) 0.52(280.0-scissors) 0.93(448.0-teddy bear) 0.00(0.0-hair drier) 0.21(484.0-toothbrush)
2021-11-06 22:17:05,497 - mmdet - INFO - pseudo ig: 0.56(165597.0-person) 0.30(4635.0-bicycle) 0.45(26700.0-car) 0.49(4975.0-motorcycle) 0.71(2005.0-airplane) 0.60(3588.0-bus) 0.51(3015.0-train) 0.30(6094.0-truck) 0.28(7249.0-boat) 0.28(9534.0-traffic light) 0.56(1224.0-fire hydrant) 0.51(1355.0-stop sign) 0.21(920.0-parking meter) 0.18(5846.0-bench) 0.32(4459.0-bird) 0.68(2886.0-cat) 0.62(2785.0-dog) 0.52(4146.0-horse) 0.70(3350.0-sheep) 0.33(6889.0-cow) 0.80(2763.0-elephant) 0.60(870.0-bear) 0.51(4474.0-zebra) 0.66(3692.0-giraffe) 0.18(5490.0-backpack) 0.33(7466.0-umbrella) 0.13(9061.0-handbag) 0.29(4224.0-tie) 0.20(4494.0-suitcase) 0.41(1820.0-frisbee) 0.27(4260.0-skis) 0.16(1621.0-snowboard) 0.34(4126.0-sports ball) 0.32(6373.0-kite) 0.26(2135.0-baseball bat) 0.26(2850.0-baseball glove) 0.42(3204.0-skateboard) 0.36(3675.0-surfboard) 0.67(2231.0-tennis racket) 0.32(15587.0-bottle) 0.36(4349.0-wine glass) 0.28(15963.0-cup) 0.22(2431.0-fork) 0.12(6124.0-knife) 0.10(4879.0-spoon) 0.26(13631.0-bowl) 0.22(6567.0-banana) 0.13(5243.0-apple) 0.20(3320.0-sandwich) 0.28(2128.0-orange) 0.33(4575.0-broccoli) 0.16(5362.0-carrot) 0.11(1024.0-hot dog) 0.46(3695.0-pizza) 0.26(5071.0-donut) 0.22(4000.0-cake) 0.20(31981.0-chair) 0.32(3568.0-couch) 0.27(6393.0-potted plant) 0.43(2683.0-bed) 0.29(10535.0-dining table) 0.58(2693.0-toilet) 0.48(3714.0-tv) 0.53(2791.0-laptop) 0.56(886.0-mouse) 0.20(3329.0-remote) 0.45(1853.0-keyboard) 0.21(4779.0-cell phone) 0.35(1155.0-microwave) 0.24(2748.0-oven) 0.20(56.0-toaster) 0.37(3768.0-sink) 0.33(1653.0-refrigerator) 0.12(15982.0-book) 0.58(3509.0-clock) 0.35(3661.0-vase) 0.20(1094.0-scissors) 0.62(1735.0-teddy bear) 0.00(0.0-hair drier) 0.05(1643.0-toothbrush)
2021-11-06 22:17:05,497 - mmdet - INFO - pseudo gt: 201595.0 5354.0 33588.0 6875.0 4070.0 4919.0 3487.0 7673.0 8257.0 9651.0 1492.0 1569.0 988.0 7741.0 8032.0 3661.0 4240.0 5302.0 7637.0 6325.0 4425.0 1020.0 4103.0 4189.0 7020.0 8708.0 9912.0 4979.0 4924.0 2102.0 5079.0 2069.0 5084.0 6969.0 2578.0 2833.0 4273.0 4622.0 3758.0 18486.0 6017.0 15948.0 4250.0 6089.0 4771.0 11072.0 7191.0 4634.0 3217.0 4743.0 5393.0 6071.0 2258.0 4696.0 5043.0 4858.0 29898.0 4469.0 6630.0 3273.0 12214.0 3197.0 4583.0 4031.0 1800.0 4504.0 2177.0 5006.0 1230.0 2508.0 171.0 4317.0 2011.0 19096.0 4843.0 4916.0 1156.0 3465.0 153.0 1607.0
2021-11-06 22:17:05,497 - mmdet - INFO - pseudo mining: 35029.0 115.0 4544.0 428.0 433.0 679.0 379.0 175.0 346.0 1067.0 370.0 802.0 12.0 31.0 178.0 593.0 298.0 622.0 1405.0 361.0 1190.0 229.0 1079.0 1298.0 55.0 658.0 40.0 191.0 47.0 399.0 69.0 22.0 1112.0 1414.0 254.0 410.0 319.0 178.0 1032.0 1290.0 212.0 1134.0 9.0 48.0 27.0 1088.0 165.0 115.0 82.0 494.0 501.0 181.0 1.0 402.0 544.0 84.0 139.0 71.0 419.0 69.0 229.0 1005.0 919.0 458.0 345.0 65.0 373.0 250.0 133.0 58.0 0.0 598.0 61.0 159.0 2021.0 105.0 5.0 461.0 0.0 0.0
2021-11-06 22:18:29,179 - mmdet - INFO - current percent: 0.2
2021-11-06 22:18:29,180 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.98-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.95-parking meter) (0.92-bench) (0.98-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (0.99-umbrella) (0.90-handbag) (0.99-tie) (0.95-suitcase) (0.99-frisbee) (0.98-skis) (0.90-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.98-bottle) (0.99-wine glass) (0.99-cup) (0.96-fork) (0.94-knife) (0.90-spoon) (0.99-bowl) (0.91-banana) (0.95-apple) (0.99-sandwich) (0.98-orange) (0.99-broccoli) (0.97-carrot) (0.84-hot dog) (0.99-pizza) (0.99-donut) (0.99-cake) (0.92-chair) (0.97-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.93-remote) (1.00-keyboard) (0.97-cell phone) (0.99-microwave) (0.98-oven) (0.20-toaster) (0.99-sink) (0.99-refrigerator) (0.94-book) (1.00-clock) (0.98-vase) (0.79-scissors) (1.00-teddy bear) (0.05-hair drier) (0.69-toothbrush)
2021-11-06 22:18:29,181 - mmdet - INFO - update score thr (ignore): (0.16-person) (0.12-bicycle) (0.32-car) (0.11-motorcycle) (0.44-airplane) (0.47-bus) (0.45-train) (0.27-truck) (0.29-boat) (0.25-traffic light) (0.48-fire hydrant) (0.66-stop sign) (0.06-parking meter) (0.16-bench) (0.13-bird) (0.57-cat) (0.47-dog) (0.14-horse) (0.67-sheep) (0.23-cow) (0.74-elephant) (0.48-bear) (0.08-zebra) (0.09-giraffe) (0.30-backpack) (0.13-umbrella) (0.18-handbag) (0.14-tie) (0.16-suitcase) (0.53-frisbee) (0.35-skis) (0.23-snowboard) (0.34-sports ball) (0.49-kite) (0.37-baseball bat) (0.57-baseball glove) (0.34-skateboard) (0.35-surfboard) (0.63-tennis racket) (0.28-bottle) (0.14-wine glass) (0.24-cup) (0.10-fork) (0.34-knife) (0.21-spoon) (0.28-bowl) (0.06-banana) (0.24-apple) (0.36-sandwich) (0.32-orange) (0.59-broccoli) (0.57-carrot) (0.25-hot dog) (0.43-pizza) (0.50-donut) (0.31-cake) (0.14-chair) (0.35-couch) (0.28-potted plant) (0.34-bed) (0.29-dining table) (0.76-toilet) (0.60-tv) (0.43-laptop) (0.92-mouse) (0.18-remote) (0.80-keyboard) (0.39-cell phone) (0.43-microwave) (0.29-oven) (0.05-toaster) (0.40-sink) (0.33-refrigerator) (0.25-book) (0.70-clock) (0.19-vase) (0.16-scissors) (0.77-teddy bear) (0.05-hair drier) (0.13-toothbrush)
2021-11-06 22:18:29,420 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 22:18:29,420 - mmdet - INFO - Iter [23000/40000]	lr: 2.000e-02, eta: 9:01:48, time: 1.710, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0323, loss_cls: 0.0739, acc: 97.1150, loss_bbox: 0.1514, loss_rpn_cls_unlabeled: 0.0841, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1530, acc_unlabeled: 91.8668, loss_bbox_unlabeled: 0.1714, losses_cls_ig_unlabeled: 0.1401, pseudo_num: 1.6726, pseudo_num_ig: 6.0676, pseudo_num_mining: 0.7841, pseudo_num(acc): 0.7627, pseudo_num ig(acc): 0.3875, loss: 0.9119
2021-11-06 22:19:54,505 - mmdet - INFO - Iter [23050/40000]	lr: 2.000e-02, eta: 9:01:05, time: 3.344, data_time: 1.672, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0342, loss_cls: 0.0731, acc: 97.1420, loss_bbox: 0.1508, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1514, acc_unlabeled: 91.8464, loss_bbox_unlabeled: 0.1707, losses_cls_ig_unlabeled: 0.1347, pseudo_num: 1.6723, pseudo_num_ig: 6.0673, pseudo_num_mining: 0.7846, pseudo_num(acc): 0.7628, pseudo_num ig(acc): 0.3875, loss: 0.9027
2021-11-06 22:21:19,393 - mmdet - INFO - Iter [23100/40000]	lr: 2.000e-02, eta: 8:59:22, time: 1.701, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0337, loss_cls: 0.0767, acc: 97.0026, loss_bbox: 0.1559, loss_rpn_cls_unlabeled: 0.0778, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1505, acc_unlabeled: 92.0784, loss_bbox_unlabeled: 0.1697, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6719, pseudo_num_ig: 6.0670, pseudo_num_mining: 0.7851, pseudo_num(acc): 0.7630, pseudo_num ig(acc): 0.3875, loss: 0.8985
2021-11-06 22:22:43,631 - mmdet - INFO - Iter [23150/40000]	lr: 2.000e-02, eta: 8:57:37, time: 1.681, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0346, loss_cls: 0.0767, acc: 97.0021, loss_bbox: 0.1553, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1537, acc_unlabeled: 91.8080, loss_bbox_unlabeled: 0.1692, losses_cls_ig_unlabeled: 0.1412, pseudo_num: 1.6715, pseudo_num_ig: 6.0667, pseudo_num_mining: 0.7857, pseudo_num(acc): 0.7631, pseudo_num ig(acc): 0.3876, loss: 0.9212
2021-11-06 22:24:09,271 - mmdet - INFO - Iter [23200/40000]	lr: 2.000e-02, eta: 8:55:55, time: 1.715, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0345, loss_cls: 0.0765, acc: 97.0146, loss_bbox: 0.1556, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1618, acc_unlabeled: 91.7671, loss_bbox_unlabeled: 0.1764, losses_cls_ig_unlabeled: 0.1340, pseudo_num: 1.6712, pseudo_num_ig: 6.0665, pseudo_num_mining: 0.7861, pseudo_num(acc): 0.7632, pseudo_num ig(acc): 0.3876, loss: 0.9255
2021-11-06 22:25:34,750 - mmdet - INFO - Iter [23250/40000]	lr: 2.000e-02, eta: 8:54:11, time: 1.709, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0360, loss_cls: 0.0788, acc: 96.8773, loss_bbox: 0.1596, loss_rpn_cls_unlabeled: 0.0810, loss_rpn_bbox_unlabeled: 0.0899, loss_cls_unlabeled: 0.1518, acc_unlabeled: 92.1696, loss_bbox_unlabeled: 0.1725, losses_cls_ig_unlabeled: 0.1357, pseudo_num: 1.6709, pseudo_num_ig: 6.0662, pseudo_num_mining: 0.7866, pseudo_num(acc): 0.7633, pseudo_num ig(acc): 0.3876, loss: 0.9169
2021-11-06 22:26:59,554 - mmdet - INFO - Iter [23300/40000]	lr: 2.000e-02, eta: 8:52:28, time: 1.698, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0355, loss_cls: 0.0772, acc: 96.9767, loss_bbox: 0.1589, loss_rpn_cls_unlabeled: 0.0869, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1571, acc_unlabeled: 91.8259, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1342, pseudo_num: 1.6706, pseudo_num_ig: 6.0659, pseudo_num_mining: 0.7873, pseudo_num(acc): 0.7634, pseudo_num ig(acc): 0.3876, loss: 0.9340
2021-11-06 22:28:25,109 - mmdet - INFO - Iter [23350/40000]	lr: 2.000e-02, eta: 8:50:45, time: 1.711, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0328, loss_cls: 0.0731, acc: 97.1381, loss_bbox: 0.1519, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1545, acc_unlabeled: 91.7957, loss_bbox_unlabeled: 0.1686, losses_cls_ig_unlabeled: 0.1380, pseudo_num: 1.6704, pseudo_num_ig: 6.0660, pseudo_num_mining: 0.7879, pseudo_num(acc): 0.7636, pseudo_num ig(acc): 0.3877, loss: 0.9069
2021-11-06 22:29:50,060 - mmdet - INFO - Iter [23400/40000]	lr: 2.000e-02, eta: 8:49:02, time: 1.698, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0346, loss_cls: 0.0761, acc: 97.0210, loss_bbox: 0.1568, loss_rpn_cls_unlabeled: 0.0809, loss_rpn_bbox_unlabeled: 0.0866, loss_cls_unlabeled: 0.1574, acc_unlabeled: 91.8168, loss_bbox_unlabeled: 0.1711, losses_cls_ig_unlabeled: 0.1367, pseudo_num: 1.6701, pseudo_num_ig: 6.0658, pseudo_num_mining: 0.7884, pseudo_num(acc): 0.7637, pseudo_num ig(acc): 0.3877, loss: 0.9117
2021-11-06 22:31:14,462 - mmdet - INFO - Iter [23450/40000]	lr: 2.000e-02, eta: 8:47:18, time: 1.687, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0350, loss_cls: 0.0778, acc: 96.9751, loss_bbox: 0.1578, loss_rpn_cls_unlabeled: 0.0801, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1588, acc_unlabeled: 91.6539, loss_bbox_unlabeled: 0.1789, losses_cls_ig_unlabeled: 0.1366, pseudo_num: 1.6698, pseudo_num_ig: 6.0655, pseudo_num_mining: 0.7889, pseudo_num(acc): 0.7638, pseudo_num ig(acc): 0.3877, loss: 0.9304
2021-11-06 22:32:37,925 - mmdet - INFO - pseudo pos: 0.98(45587.0-person) 0.86(1253.0-bicycle) 0.92(6702.0-car) 0.98(1370.0-motorcycle) 0.98(593.0-airplane) 0.99(942.0-bus) 0.98(928.0-train) 0.69(1640.0-truck) 0.65(1950.0-boat) 0.87(2393.0-traffic light) 0.99(334.0-fire hydrant) 0.97(334.0-stop sign) 0.75(312.0-parking meter) 0.63(1599.0-bench) 0.92(1347.0-bird) 0.96(837.0-cat) 0.94(836.0-dog) 0.96(1156.0-horse) 0.96(860.0-sheep) 0.84(1739.0-cow) 0.99(662.0-elephant) 0.99(244.0-bear) 0.99(1199.0-zebra) 0.99(1200.0-giraffe) 0.43(1460.0-backpack) 0.80(1913.0-umbrella) 0.43(2267.0-handbag) 0.85(1059.0-tie) 0.68(1245.0-suitcase) 0.91(441.0-frisbee) 0.56(1142.0-skis) 0.21(839.0-snowboard) 0.96(978.0-sports ball) 0.74(1686.0-kite) 0.82(558.0-baseball bat) 0.81(720.0-baseball glove) 0.96(889.0-skateboard) 0.84(990.0-surfboard) 0.94(534.0-tennis racket) 0.82(3727.0-bottle) 0.92(1076.0-wine glass) 0.80(3979.0-cup) 0.40(618.0-fork) 0.31(1603.0-knife) 0.28(1165.0-spoon) 0.71(3503.0-bowl) 0.62(1636.0-banana) 0.33(1638.0-apple) 0.41(1675.0-sandwich) 0.41(851.0-orange) 0.66(1069.0-broccoli) 0.43(1345.0-carrot) 0.03(6719.0-hot dog) 0.95(1041.0-pizza) 0.71(1428.0-donut) 0.53(1133.0-cake) 0.62(8190.0-chair) 0.76(991.0-couch) 0.64(1700.0-potted plant) 0.91(772.0-bed) 0.68(3490.0-dining table) 0.92(630.0-toilet) 0.95(1094.0-tv) 0.97(813.0-laptop) 0.95(241.0-mouse) 0.60(815.0-remote) 0.74(497.0-keyboard) 0.65(1271.0-cell phone) 0.95(331.0-microwave) 0.76(784.0-oven) 0.21(29.0-toaster) 0.78(1045.0-sink) 0.91(463.0-refrigerator) 0.23(3997.0-book) 0.96(909.0-clock) 0.87(948.0-vase) 0.52(287.0-scissors) 0.93(458.0-teddy bear) 0.00(0.0-hair drier) 0.21(492.0-toothbrush)
2021-11-06 22:32:38,148 - mmdet - INFO - pseudo ig: 0.56(169205.0-person) 0.30(4781.0-bicycle) 0.45(27268.0-car) 0.49(5158.0-motorcycle) 0.71(2060.0-airplane) 0.60(3648.0-bus) 0.52(3087.0-train) 0.30(6246.0-truck) 0.28(7414.0-boat) 0.28(9739.0-traffic light) 0.55(1251.0-fire hydrant) 0.51(1386.0-stop sign) 0.21(945.0-parking meter) 0.18(5999.0-bench) 0.32(4547.0-bird) 0.69(2957.0-cat) 0.62(2843.0-dog) 0.52(4276.0-horse) 0.70(3418.0-sheep) 0.33(7050.0-cow) 0.80(2815.0-elephant) 0.60(895.0-bear) 0.51(4577.0-zebra) 0.66(3764.0-giraffe) 0.18(5610.0-backpack) 0.33(7584.0-umbrella) 0.13(9248.0-handbag) 0.29(4295.0-tie) 0.20(4595.0-suitcase) 0.41(1856.0-frisbee) 0.27(4318.0-skis) 0.16(1634.0-snowboard) 0.34(4216.0-sports ball) 0.32(6496.0-kite) 0.26(2177.0-baseball bat) 0.26(2909.0-baseball glove) 0.42(3288.0-skateboard) 0.36(3763.0-surfboard) 0.67(2281.0-tennis racket) 0.32(15890.0-bottle) 0.36(4428.0-wine glass) 0.28(16321.0-cup) 0.22(2469.0-fork) 0.12(6242.0-knife) 0.10(4960.0-spoon) 0.26(13960.0-bowl) 0.22(6753.0-banana) 0.13(5322.0-apple) 0.20(3365.0-sandwich) 0.28(2167.0-orange) 0.33(4680.0-broccoli) 0.16(5481.0-carrot) 0.11(1035.0-hot dog) 0.47(3773.0-pizza) 0.26(5179.0-donut) 0.22(4104.0-cake) 0.20(32551.0-chair) 0.32(3638.0-couch) 0.27(6505.0-potted plant) 0.43(2763.0-bed) 0.29(10735.0-dining table) 0.59(2745.0-toilet) 0.48(3798.0-tv) 0.53(2845.0-laptop) 0.57(902.0-mouse) 0.21(3392.0-remote) 0.45(1888.0-keyboard) 0.21(4881.0-cell phone) 0.35(1174.0-microwave) 0.24(2794.0-oven) 0.20(56.0-toaster) 0.37(3827.0-sink) 0.33(1687.0-refrigerator) 0.11(16292.0-book) 0.58(3571.0-clock) 0.35(3725.0-vase) 0.20(1126.0-scissors) 0.62(1766.0-teddy bear) 0.00(0.0-hair drier) 0.05(1675.0-toothbrush)
2021-11-06 22:32:38,148 - mmdet - INFO - pseudo gt: 205923.0 5489.0 34384.0 7111.0 4140.0 5019.0 3575.0 7853.0 8469.0 9884.0 1524.0 1613.0 1020.0 7943.0 8218.0 3744.0 4310.0 5457.0 7801.0 6451.0 4504.0 1045.0 4180.0 4260.0 7153.0 8854.0 10102.0 5061.0 4993.0 2151.0 5178.0 2097.0 5209.0 7091.0 2646.0 2908.0 4392.0 4749.0 3834.0 18873.0 6132.0 16279.0 4338.0 6175.0 4878.0 11305.0 7359.0 4740.0 3289.0 4852.0 5552.0 6281.0 2300.0 4800.0 5140.0 4983.0 30494.0 4559.0 6771.0 3340.0 12452.0 3276.0 4700.0 4107.0 1839.0 4620.0 2232.0 5124.0 1245.0 2550.0 175.0 4387.0 2038.0 19435.0 4926.0 5007.0 1199.0 3532.0 154.0 1624.0
2021-11-06 22:32:38,149 - mmdet - INFO - pseudo mining: 35992.0 117.0 4669.0 441.0 444.0 698.0 401.0 181.0 358.0 1102.0 381.0 826.0 12.0 32.0 182.0 616.0 305.0 642.0 1445.0 373.0 1226.0 240.0 1099.0 1323.0 56.0 666.0 41.0 193.0 47.0 410.0 71.0 22.0 1158.0 1451.0 258.0 430.0 341.0 187.0 1067.0 1308.0 217.0 1187.0 11.0 49.0 27.0 1125.0 165.0 119.0 85.0 499.0 534.0 190.0 1.0 418.0 569.0 93.0 144.0 74.0 430.0 73.0 236.0 1038.0 953.0 473.0 361.0 68.0 387.0 260.0 135.0 59.0 0.0 605.0 68.0 165.0 2067.0 106.0 5.0 477.0 0.0 0.0
2021-11-06 22:32:39,533 - mmdet - INFO - Iter [23500/40000]	lr: 2.000e-02, eta: 8:45:35, time: 1.704, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0340, loss_cls: 0.0775, acc: 96.9821, loss_bbox: 0.1567, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1642, acc_unlabeled: 91.9363, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1338, pseudo_num: 1.6695, pseudo_num_ig: 6.0653, pseudo_num_mining: 0.7895, pseudo_num(acc): 0.7640, pseudo_num ig(acc): 0.3878, loss: 0.9325
2021-11-06 22:34:03,578 - mmdet - INFO - Iter [23550/40000]	lr: 2.000e-02, eta: 8:43:52, time: 1.681, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0346, loss_cls: 0.0782, acc: 96.9669, loss_bbox: 0.1598, loss_rpn_cls_unlabeled: 0.0876, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1593, acc_unlabeled: 91.7679, loss_bbox_unlabeled: 0.1773, losses_cls_ig_unlabeled: 0.1330, pseudo_num: 1.6693, pseudo_num_ig: 6.0654, pseudo_num_mining: 0.7901, pseudo_num(acc): 0.7641, pseudo_num ig(acc): 0.3878, loss: 0.9352
2021-11-06 22:35:29,733 - mmdet - INFO - Iter [23600/40000]	lr: 2.000e-02, eta: 8:42:10, time: 1.721, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0355, loss_cls: 0.0813, acc: 96.8334, loss_bbox: 0.1595, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1633, acc_unlabeled: 91.5968, loss_bbox_unlabeled: 0.1798, losses_cls_ig_unlabeled: 0.1413, pseudo_num: 1.6692, pseudo_num_ig: 6.0652, pseudo_num_mining: 0.7906, pseudo_num(acc): 0.7643, pseudo_num ig(acc): 0.3878, loss: 0.9521
2021-11-06 22:36:53,644 - mmdet - INFO - Iter [23650/40000]	lr: 2.000e-02, eta: 8:40:26, time: 1.677, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0335, loss_cls: 0.0763, acc: 97.0354, loss_bbox: 0.1552, loss_rpn_cls_unlabeled: 0.0854, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1517, acc_unlabeled: 91.8536, loss_bbox_unlabeled: 0.1705, losses_cls_ig_unlabeled: 0.1379, pseudo_num: 1.6690, pseudo_num_ig: 6.0652, pseudo_num_mining: 0.7911, pseudo_num(acc): 0.7644, pseudo_num ig(acc): 0.3878, loss: 0.9172
2021-11-06 22:38:18,143 - mmdet - INFO - Iter [23700/40000]	lr: 2.000e-02, eta: 8:38:43, time: 1.693, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0340, loss_cls: 0.0782, acc: 96.9637, loss_bbox: 0.1576, loss_rpn_cls_unlabeled: 0.0875, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1619, acc_unlabeled: 91.6553, loss_bbox_unlabeled: 0.1750, losses_cls_ig_unlabeled: 0.1450, pseudo_num: 1.6687, pseudo_num_ig: 6.0652, pseudo_num_mining: 0.7916, pseudo_num(acc): 0.7645, pseudo_num ig(acc): 0.3878, loss: 0.9482
2021-11-06 22:39:42,937 - mmdet - INFO - Iter [23750/40000]	lr: 2.000e-02, eta: 8:37:00, time: 1.696, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0339, loss_cls: 0.0775, acc: 96.9823, loss_bbox: 0.1585, loss_rpn_cls_unlabeled: 0.0831, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1595, acc_unlabeled: 91.6290, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1385, pseudo_num: 1.6685, pseudo_num_ig: 6.0651, pseudo_num_mining: 0.7920, pseudo_num(acc): 0.7647, pseudo_num ig(acc): 0.3878, loss: 0.9330
2021-11-06 22:41:05,336 - mmdet - INFO - Iter [23800/40000]	lr: 2.000e-02, eta: 8:35:16, time: 1.647, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0322, loss_cls: 0.0771, acc: 96.9526, loss_bbox: 0.1571, loss_rpn_cls_unlabeled: 0.0828, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1576, acc_unlabeled: 91.7032, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1383, pseudo_num: 1.6682, pseudo_num_ig: 6.0649, pseudo_num_mining: 0.7925, pseudo_num(acc): 0.7648, pseudo_num ig(acc): 0.3879, loss: 0.9276
2021-11-06 22:42:30,106 - mmdet - INFO - Iter [23850/40000]	lr: 2.000e-02, eta: 8:33:33, time: 1.693, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0324, loss_cls: 0.0752, acc: 97.0287, loss_bbox: 0.1543, loss_rpn_cls_unlabeled: 0.0856, loss_rpn_bbox_unlabeled: 0.0961, loss_cls_unlabeled: 0.1592, acc_unlabeled: 91.4700, loss_bbox_unlabeled: 0.1785, losses_cls_ig_unlabeled: 0.1434, pseudo_num: 1.6680, pseudo_num_ig: 6.0654, pseudo_num_mining: 0.7931, pseudo_num(acc): 0.7649, pseudo_num ig(acc): 0.3879, loss: 0.9354
2021-11-06 22:43:53,934 - mmdet - INFO - Iter [23900/40000]	lr: 2.000e-02, eta: 8:31:50, time: 1.678, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0337, loss_cls: 0.0771, acc: 97.0144, loss_bbox: 0.1555, loss_rpn_cls_unlabeled: 0.0932, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1567, acc_unlabeled: 91.8224, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1370, pseudo_num: 1.6679, pseudo_num_ig: 6.0660, pseudo_num_mining: 0.7937, pseudo_num(acc): 0.7651, pseudo_num ig(acc): 0.3879, loss: 0.9363
2021-11-06 22:45:17,807 - mmdet - INFO - Iter [23950/40000]	lr: 2.000e-02, eta: 8:30:07, time: 1.679, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0341, loss_cls: 0.0770, acc: 96.9791, loss_bbox: 0.1616, loss_rpn_cls_unlabeled: 0.0799, loss_rpn_bbox_unlabeled: 0.0971, loss_cls_unlabeled: 0.1655, acc_unlabeled: 91.6667, loss_bbox_unlabeled: 0.1873, losses_cls_ig_unlabeled: 0.1364, pseudo_num: 1.6677, pseudo_num_ig: 6.0661, pseudo_num_mining: 0.7943, pseudo_num(acc): 0.7652, pseudo_num ig(acc): 0.3879, loss: 0.9501
2021-11-06 22:46:41,200 - mmdet - INFO - pseudo pos: 0.98(46491.0-person) 0.86(1269.0-bicycle) 0.92(6850.0-car) 0.98(1394.0-motorcycle) 0.99(609.0-airplane) 0.99(950.0-bus) 0.97(942.0-train) 0.69(1690.0-truck) 0.64(1983.0-boat) 0.87(2455.0-traffic light) 0.99(336.0-fire hydrant) 0.96(343.0-stop sign) 0.75(318.0-parking meter) 0.63(1641.0-bench) 0.92(1383.0-bird) 0.96(852.0-cat) 0.94(845.0-dog) 0.96(1180.0-horse) 0.96(883.0-sheep) 0.84(1771.0-cow) 0.99(674.0-elephant) 0.99(245.0-bear) 0.99(1233.0-zebra) 0.99(1222.0-giraffe) 0.43(1483.0-backpack) 0.80(1962.0-umbrella) 0.43(2311.0-handbag) 0.86(1081.0-tie) 0.68(1272.0-suitcase) 0.91(450.0-frisbee) 0.57(1164.0-skis) 0.21(841.0-snowboard) 0.96(1002.0-sports ball) 0.74(1715.0-kite) 0.82(566.0-baseball bat) 0.81(724.0-baseball glove) 0.96(902.0-skateboard) 0.84(1005.0-surfboard) 0.94(543.0-tennis racket) 0.82(3836.0-bottle) 0.92(1092.0-wine glass) 0.80(4076.0-cup) 0.41(628.0-fork) 0.32(1631.0-knife) 0.29(1197.0-spoon) 0.71(3566.0-bowl) 0.62(1696.0-banana) 0.33(1663.0-apple) 0.41(1681.0-sandwich) 0.42(867.0-orange) 0.66(1092.0-broccoli) 0.43(1363.0-carrot) 0.03(6721.0-hot dog) 0.94(1057.0-pizza) 0.71(1468.0-donut) 0.52(1151.0-cake) 0.62(8357.0-chair) 0.77(1023.0-couch) 0.64(1727.0-potted plant) 0.90(786.0-bed) 0.68(3571.0-dining table) 0.92(639.0-toilet) 0.95(1122.0-tv) 0.97(822.0-laptop) 0.95(243.0-mouse) 0.60(833.0-remote) 0.75(503.0-keyboard) 0.66(1299.0-cell phone) 0.96(336.0-microwave) 0.77(797.0-oven) 0.20(30.0-toaster) 0.79(1062.0-sink) 0.91(471.0-refrigerator) 0.23(4065.0-book) 0.96(933.0-clock) 0.87(963.0-vase) 0.53(299.0-scissors) 0.93(465.0-teddy bear) 0.00(0.0-hair drier) 0.21(505.0-toothbrush)
2021-11-06 22:46:41,200 - mmdet - INFO - pseudo ig: 0.56(172701.0-person) 0.30(4910.0-bicycle) 0.45(27792.0-car) 0.49(5293.0-motorcycle) 0.71(2104.0-airplane) 0.60(3707.0-bus) 0.52(3142.0-train) 0.30(6424.0-truck) 0.28(7586.0-boat) 0.28(9980.0-traffic light) 0.56(1269.0-fire hydrant) 0.51(1418.0-stop sign) 0.21(964.0-parking meter) 0.18(6151.0-bench) 0.32(4628.0-bird) 0.69(3035.0-cat) 0.62(2905.0-dog) 0.52(4394.0-horse) 0.70(3482.0-sheep) 0.33(7223.0-cow) 0.80(2901.0-elephant) 0.60(918.0-bear) 0.50(4752.0-zebra) 0.66(3840.0-giraffe) 0.18(5737.0-backpack) 0.33(7755.0-umbrella) 0.13(9462.0-handbag) 0.29(4381.0-tie) 0.20(4710.0-suitcase) 0.41(1886.0-frisbee) 0.27(4404.0-skis) 0.17(1653.0-snowboard) 0.34(4300.0-sports ball) 0.32(6612.0-kite) 0.26(2225.0-baseball bat) 0.26(2956.0-baseball glove) 0.43(3374.0-skateboard) 0.36(3821.0-surfboard) 0.68(2332.0-tennis racket) 0.32(16299.0-bottle) 0.36(4491.0-wine glass) 0.28(16645.0-cup) 0.22(2529.0-fork) 0.12(6335.0-knife) 0.10(5056.0-spoon) 0.26(14229.0-bowl) 0.21(6954.0-banana) 0.14(5425.0-apple) 0.20(3428.0-sandwich) 0.28(2215.0-orange) 0.33(4739.0-broccoli) 0.16(5578.0-carrot) 0.12(1051.0-hot dog) 0.47(3854.0-pizza) 0.26(5281.0-donut) 0.22(4190.0-cake) 0.20(33165.0-chair) 0.32(3724.0-couch) 0.27(6634.0-potted plant) 0.43(2812.0-bed) 0.29(10932.0-dining table) 0.59(2779.0-toilet) 0.48(3866.0-tv) 0.53(2899.0-laptop) 0.57(916.0-mouse) 0.20(3464.0-remote) 0.46(1926.0-keyboard) 0.21(4964.0-cell phone) 0.35(1204.0-microwave) 0.24(2848.0-oven) 0.19(57.0-toaster) 0.37(3898.0-sink) 0.33(1741.0-refrigerator) 0.11(16603.0-book) 0.58(3641.0-clock) 0.35(3796.0-vase) 0.20(1144.0-scissors) 0.63(1820.0-teddy bear) 0.00(0.0-hair drier) 0.05(1719.0-toothbrush)
2021-11-06 22:46:41,200 - mmdet - INFO - pseudo gt: 210083.0 5605.0 35096.0 7265.0 4230.0 5121.0 3655.0 8041.0 8629.0 10146.0 1550.0 1645.0 1037.0 8116.0 8398.0 3835.0 4435.0 5584.0 7951.0 6599.0 4620.0 1066.0 4319.0 4341.0 7307.0 9039.0 10307.0 5157.0 5089.0 2188.0 5282.0 2154.0 5319.0 7232.0 2690.0 2967.0 4507.0 4836.0 3928.0 19353.0 6269.0 16675.0 4447.0 6302.0 5003.0 11549.0 7473.0 4853.0 3352.0 4941.0 5680.0 6380.0 2365.0 4916.0 5246.0 5093.0 31074.0 4683.0 6905.0 3401.0 12743.0 3322.0 4818.0 4174.0 1881.0 4728.0 2283.0 5253.0 1272.0 2595.0 177.0 4472.0 2080.0 19860.0 5025.0 5102.0 1231.0 3661.0 157.0 1648.0
2021-11-06 22:46:41,201 - mmdet - INFO - pseudo mining: 36908.0 121.0 4792.0 449.0 454.0 712.0 414.0 184.0 371.0 1135.0 392.0 850.0 12.0 32.0 183.0 644.0 321.0 655.0 1474.0 382.0 1277.0 248.0 1132.0 1343.0 59.0 681.0 42.0 195.0 50.0 423.0 77.0 22.0 1185.0 1492.0 267.0 442.0 364.0 194.0 1100.0 1337.0 223.0 1231.0 12.0 51.0 27.0 1152.0 165.0 123.0 87.0 504.0 551.0 201.0 1.0 435.0 595.0 100.0 150.0 76.0 439.0 75.0 246.0 1056.0 978.0 489.0 374.0 72.0 402.0 268.0 139.0 61.0 0.0 617.0 72.0 174.0 2109.0 110.0 5.0 493.0 0.0 0.0
2021-11-06 22:47:33,990 - mmdet - INFO - Evaluating bbox...
2021-11-06 22:48:35,991 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.381 | bicycle      | 0.173 | car            | 0.302 |
| motorcycle    | 0.246 | airplane     | 0.307 | bus            | 0.471 |
| train         | 0.388 | truck        | 0.139 | boat           | 0.122 |
| traffic light | 0.193 | fire hydrant | 0.427 | stop sign      | 0.450 |
| parking meter | 0.290 | bench        | 0.119 | bird           | 0.164 |
| cat           | 0.390 | dog          | 0.358 | horse          | 0.357 |
| sheep         | 0.278 | cow          | 0.346 | elephant       | 0.404 |
| bear          | 0.497 | zebra        | 0.467 | giraffe        | 0.490 |
| backpack      | 0.043 | umbrella     | 0.184 | handbag        | 0.049 |
| tie           | 0.155 | suitcase     | 0.093 | frisbee        | 0.404 |
| skis          | 0.066 | snowboard    | 0.034 | sports ball    | 0.288 |
| kite          | 0.207 | baseball bat | 0.117 | baseball glove | 0.197 |
| skateboard    | 0.264 | surfboard    | 0.158 | tennis racket  | 0.241 |
| bottle        | 0.223 | wine glass   | 0.183 | cup            | 0.242 |
| fork          | 0.042 | knife        | 0.039 | spoon          | 0.025 |
| bowl          | 0.259 | banana       | 0.078 | apple          | 0.068 |
| sandwich      | 0.158 | orange       | 0.148 | broccoli       | 0.125 |
| carrot        | 0.046 | hot dog      | 0.078 | pizza          | 0.338 |
| donut         | 0.201 | cake         | 0.116 | chair          | 0.101 |
| couch         | 0.206 | potted plant | 0.099 | bed            | 0.265 |
| dining table  | 0.138 | toilet       | 0.361 | tv             | 0.365 |
| laptop        | 0.365 | mouse        | 0.398 | remote         | 0.062 |
| keyboard      | 0.273 | cell phone   | 0.203 | microwave      | 0.380 |
| oven          | 0.178 | toaster      | 0.013 | sink           | 0.154 |
| refrigerator  | 0.320 | book         | 0.018 | clock          | 0.377 |
| vase          | 0.163 | scissors     | 0.114 | teddy bear     | 0.208 |
| hair drier    | 0.000 | toothbrush   | 0.042 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 22:49:27,829 - mmdet - INFO - Evaluating bbox...
2021-11-06 22:50:28,883 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.398 | bicycle      | 0.191 | car            | 0.315 |
| motorcycle    | 0.258 | airplane     | 0.320 | bus            | 0.489 |
| train         | 0.401 | truck        | 0.151 | boat           | 0.139 |
| traffic light | 0.210 | fire hydrant | 0.483 | stop sign      | 0.443 |
| parking meter | 0.355 | bench        | 0.130 | bird           | 0.178 |
| cat           | 0.426 | dog          | 0.393 | horse          | 0.393 |
| sheep         | 0.317 | cow          | 0.368 | elephant       | 0.445 |
| bear          | 0.496 | zebra        | 0.486 | giraffe        | 0.514 |
| backpack      | 0.056 | umbrella     | 0.201 | handbag        | 0.059 |
| tie           | 0.187 | suitcase     | 0.112 | frisbee        | 0.418 |
| skis          | 0.079 | snowboard    | 0.045 | sports ball    | 0.312 |
| kite          | 0.220 | baseball bat | 0.122 | baseball glove | 0.214 |
| skateboard    | 0.283 | surfboard    | 0.193 | tennis racket  | 0.267 |
| bottle        | 0.249 | wine glass   | 0.208 | cup            | 0.261 |
| fork          | 0.057 | knife        | 0.040 | spoon          | 0.027 |
| bowl          | 0.285 | banana       | 0.090 | apple          | 0.083 |
| sandwich      | 0.200 | orange       | 0.154 | broccoli       | 0.144 |
| carrot        | 0.054 | hot dog      | 0.072 | pizza          | 0.361 |
| donut         | 0.223 | cake         | 0.125 | chair          | 0.118 |
| couch         | 0.241 | potted plant | 0.126 | bed            | 0.286 |
| dining table  | 0.143 | toilet       | 0.405 | tv             | 0.407 |
| laptop        | 0.410 | mouse        | 0.436 | remote         | 0.072 |
| keyboard      | 0.277 | cell phone   | 0.196 | microwave      | 0.360 |
| oven          | 0.192 | toaster      | 0.033 | sink           | 0.159 |
| refrigerator  | 0.343 | book         | 0.025 | clock          | 0.388 |
| vase          | 0.204 | scissors     | 0.134 | teddy bear     | 0.276 |
| hair drier    | 0.000 | toothbrush   | 0.046 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 22:51:52,206 - mmdet - INFO - current percent: 0.2
2021-11-06 22:51:52,571 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.95-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.92-backpack) (0.99-umbrella) (0.90-handbag) (0.98-tie) (0.96-suitcase) (0.99-frisbee) (0.98-skis) (0.88-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.97-fork) (0.95-knife) (0.93-spoon) (0.98-bowl) (0.98-banana) (0.97-apple) (0.96-sandwich) (0.98-orange) (0.99-broccoli) (0.95-carrot) (0.73-hot dog) (0.99-pizza) (0.98-donut) (0.98-cake) (0.93-chair) (0.97-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.94-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.18-toaster) (1.00-sink) (0.99-refrigerator) (0.92-book) (1.00-clock) (0.97-vase) (0.96-scissors) (1.00-teddy bear) (0.05-hair drier) (0.78-toothbrush)
2021-11-06 22:51:52,571 - mmdet - INFO - update score thr (ignore): (0.14-person) (0.18-bicycle) (0.31-car) (0.15-motorcycle) (0.52-airplane) (0.31-bus) (0.38-train) (0.36-truck) (0.30-boat) (0.29-traffic light) (0.58-fire hydrant) (0.86-stop sign) (0.09-parking meter) (0.18-bench) (0.09-bird) (0.66-cat) (0.41-dog) (0.17-horse) (0.90-sheep) (0.29-cow) (0.48-elephant) (0.55-bear) (0.16-zebra) (0.08-giraffe) (0.27-backpack) (0.18-umbrella) (0.18-handbag) (0.15-tie) (0.21-suitcase) (0.56-frisbee) (0.23-skis) (0.15-snowboard) (0.37-sports ball) (0.43-kite) (0.37-baseball bat) (0.42-baseball glove) (0.27-skateboard) (0.24-surfboard) (0.74-tennis racket) (0.35-bottle) (0.10-wine glass) (0.24-cup) (0.10-fork) (0.28-knife) (0.20-spoon) (0.25-bowl) (0.23-banana) (0.43-apple) (0.25-sandwich) (0.57-orange) (0.57-broccoli) (0.42-carrot) (0.21-hot dog) (0.40-pizza) (0.51-donut) (0.27-cake) (0.14-chair) (0.28-couch) (0.29-potted plant) (0.34-bed) (0.24-dining table) (0.55-toilet) (0.55-tv) (0.35-laptop) (0.76-mouse) (0.17-remote) (0.50-keyboard) (0.40-cell phone) (0.43-microwave) (0.39-oven) (0.05-toaster) (0.51-sink) (0.49-refrigerator) (0.20-book) (0.49-clock) (0.15-vase) (0.29-scissors) (0.59-teddy bear) (0.05-hair drier) (0.13-toothbrush)
2021-11-06 22:51:52,833 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 22:51:52,834 - mmdet - INFO - Iter [24000/40000]	lr: 2.000e-02, eta: 8:28:25, time: 1.698, data_time: 0.027, memory: 26488, bbox_mAP: 0.2370, bbox_mAP_50: 0.4150, bbox_mAP_75: 0.2480, bbox_mAP_s: 0.1150, bbox_mAP_m: 0.2620, bbox_mAP_l: 0.3200, bbox_mAP_copypaste: 0.237 0.415 0.248 0.115 0.262 0.320, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0338, loss_cls: 0.0766, acc: 96.9878, loss_bbox: 0.1576, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0977, loss_cls_unlabeled: 0.1554, acc_unlabeled: 91.6705, loss_bbox_unlabeled: 0.1740, losses_cls_ig_unlabeled: 0.1446, pseudo_num: 1.6675, pseudo_num_ig: 6.0662, pseudo_num_mining: 0.7948, pseudo_num(acc): 0.7653, pseudo_num ig(acc): 0.3879, loss: 0.9349
2021-11-06 22:53:18,070 - mmdet - INFO - Iter [24050/40000]	lr: 2.000e-02, eta: 8:30:08, time: 7.907, data_time: 6.230, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0326, loss_cls: 0.0741, acc: 97.1106, loss_bbox: 0.1501, loss_rpn_cls_unlabeled: 0.0866, loss_rpn_bbox_unlabeled: 0.0980, loss_cls_unlabeled: 0.1600, acc_unlabeled: 91.3143, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1441, pseudo_num: 1.6673, pseudo_num_ig: 6.0668, pseudo_num_mining: 0.7955, pseudo_num(acc): 0.7654, pseudo_num ig(acc): 0.3879, loss: 0.9311
2021-11-06 22:54:42,111 - mmdet - INFO - Iter [24100/40000]	lr: 2.000e-02, eta: 8:28:25, time: 1.679, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0344, loss_cls: 0.0749, acc: 97.0620, loss_bbox: 0.1555, loss_rpn_cls_unlabeled: 0.0818, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1523, acc_unlabeled: 91.8073, loss_bbox_unlabeled: 0.1673, losses_cls_ig_unlabeled: 0.1389, pseudo_num: 1.6670, pseudo_num_ig: 6.0671, pseudo_num_mining: 0.7960, pseudo_num(acc): 0.7656, pseudo_num ig(acc): 0.3879, loss: 0.9082
2021-11-06 22:56:07,428 - mmdet - INFO - Iter [24150/40000]	lr: 2.000e-02, eta: 8:26:42, time: 1.709, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0329, loss_cls: 0.0752, acc: 97.0660, loss_bbox: 0.1536, loss_rpn_cls_unlabeled: 0.0882, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1552, acc_unlabeled: 91.9263, loss_bbox_unlabeled: 0.1707, losses_cls_ig_unlabeled: 0.1337, pseudo_num: 1.6668, pseudo_num_ig: 6.0669, pseudo_num_mining: 0.7966, pseudo_num(acc): 0.7657, pseudo_num ig(acc): 0.3880, loss: 0.9175
2021-11-06 22:57:30,604 - mmdet - INFO - Iter [24200/40000]	lr: 2.000e-02, eta: 8:24:58, time: 1.663, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0347, loss_cls: 0.0796, acc: 96.8929, loss_bbox: 0.1596, loss_rpn_cls_unlabeled: 0.0881, loss_rpn_bbox_unlabeled: 0.0962, loss_cls_unlabeled: 0.1592, acc_unlabeled: 91.6157, loss_bbox_unlabeled: 0.1783, losses_cls_ig_unlabeled: 0.1390, pseudo_num: 1.6666, pseudo_num_ig: 6.0670, pseudo_num_mining: 0.7971, pseudo_num(acc): 0.7658, pseudo_num ig(acc): 0.3880, loss: 0.9467
2021-11-06 22:58:55,844 - mmdet - INFO - Iter [24250/40000]	lr: 2.000e-02, eta: 8:23:15, time: 1.704, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0338, loss_cls: 0.0765, acc: 96.9885, loss_bbox: 0.1555, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1552, acc_unlabeled: 91.6582, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1388, pseudo_num: 1.6664, pseudo_num_ig: 6.0675, pseudo_num_mining: 0.7976, pseudo_num(acc): 0.7659, pseudo_num ig(acc): 0.3880, loss: 0.9227
2021-11-06 23:00:20,532 - mmdet - INFO - Iter [24300/40000]	lr: 2.000e-02, eta: 8:21:32, time: 1.694, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0327, loss_cls: 0.0741, acc: 97.1036, loss_bbox: 0.1509, loss_rpn_cls_unlabeled: 0.0854, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1545, acc_unlabeled: 91.8278, loss_bbox_unlabeled: 0.1681, losses_cls_ig_unlabeled: 0.1402, pseudo_num: 1.6662, pseudo_num_ig: 6.0675, pseudo_num_mining: 0.7982, pseudo_num(acc): 0.7660, pseudo_num ig(acc): 0.3881, loss: 0.9121
2021-11-06 23:01:44,142 - mmdet - INFO - Iter [24350/40000]	lr: 2.000e-02, eta: 8:19:48, time: 1.669, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0332, loss_cls: 0.0745, acc: 97.0791, loss_bbox: 0.1526, loss_rpn_cls_unlabeled: 0.0819, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1456, acc_unlabeled: 91.8925, loss_bbox_unlabeled: 0.1648, losses_cls_ig_unlabeled: 0.1376, pseudo_num: 1.6660, pseudo_num_ig: 6.0671, pseudo_num_mining: 0.7986, pseudo_num(acc): 0.7661, pseudo_num ig(acc): 0.3881, loss: 0.8920
2021-11-06 23:03:09,755 - mmdet - INFO - Iter [24400/40000]	lr: 2.000e-02, eta: 8:18:06, time: 1.716, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0326, loss_cls: 0.0734, acc: 97.1488, loss_bbox: 0.1513, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1524, acc_unlabeled: 91.7905, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1365, pseudo_num: 1.6658, pseudo_num_ig: 6.0667, pseudo_num_mining: 0.7990, pseudo_num(acc): 0.7662, pseudo_num ig(acc): 0.3881, loss: 0.9047
2021-11-06 23:04:34,127 - mmdet - INFO - Iter [24450/40000]	lr: 2.000e-02, eta: 8:16:23, time: 1.687, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0335, loss_cls: 0.0765, acc: 97.0077, loss_bbox: 0.1559, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1560, acc_unlabeled: 91.8167, loss_bbox_unlabeled: 0.1704, losses_cls_ig_unlabeled: 0.1396, pseudo_num: 1.6656, pseudo_num_ig: 6.0668, pseudo_num_mining: 0.7995, pseudo_num(acc): 0.7664, pseudo_num ig(acc): 0.3881, loss: 0.9211
2021-11-06 23:05:58,234 - mmdet - INFO - pseudo pos: 0.98(47410.0-person) 0.87(1307.0-bicycle) 0.92(7001.0-car) 0.98(1424.0-motorcycle) 0.99(623.0-airplane) 0.99(967.0-bus) 0.97(966.0-train) 0.69(1725.0-truck) 0.65(2000.0-boat) 0.87(2536.0-traffic light) 0.99(337.0-fire hydrant) 0.96(349.0-stop sign) 0.75(323.0-parking meter) 0.63(1666.0-bench) 0.92(1408.0-bird) 0.96(858.0-cat) 0.94(867.0-dog) 0.96(1198.0-horse) 0.96(899.0-sheep) 0.84(1813.0-cow) 0.99(688.0-elephant) 0.99(248.0-bear) 0.99(1261.0-zebra) 0.99(1243.0-giraffe) 0.43(1516.0-backpack) 0.80(2002.0-umbrella) 0.43(2353.0-handbag) 0.86(1104.0-tie) 0.68(1299.0-suitcase) 0.91(469.0-frisbee) 0.57(1184.0-skis) 0.22(844.0-snowboard) 0.95(1020.0-sports ball) 0.74(1744.0-kite) 0.82(571.0-baseball bat) 0.81(732.0-baseball glove) 0.96(913.0-skateboard) 0.84(1023.0-surfboard) 0.94(554.0-tennis racket) 0.82(3920.0-bottle) 0.92(1101.0-wine glass) 0.80(4162.0-cup) 0.41(639.0-fork) 0.32(1657.0-knife) 0.29(1216.0-spoon) 0.71(3644.0-bowl) 0.61(1746.0-banana) 0.33(1684.0-apple) 0.41(1695.0-sandwich) 0.42(883.0-orange) 0.66(1106.0-broccoli) 0.42(1401.0-carrot) 0.03(6723.0-hot dog) 0.94(1077.0-pizza) 0.71(1535.0-donut) 0.53(1164.0-cake) 0.62(8497.0-chair) 0.77(1055.0-couch) 0.64(1773.0-potted plant) 0.91(798.0-bed) 0.68(3640.0-dining table) 0.92(652.0-toilet) 0.95(1146.0-tv) 0.97(835.0-laptop) 0.95(249.0-mouse) 0.60(849.0-remote) 0.74(511.0-keyboard) 0.66(1332.0-cell phone) 0.96(339.0-microwave) 0.77(812.0-oven) 0.21(34.0-toaster) 0.79(1080.0-sink) 0.91(483.0-refrigerator) 0.23(4178.0-book) 0.96(965.0-clock) 0.87(992.0-vase) 0.53(301.0-scissors) 0.93(471.0-teddy bear) 0.00(0.0-hair drier) 0.21(516.0-toothbrush)
2021-11-06 23:05:58,234 - mmdet - INFO - pseudo ig: 0.56(176435.0-person) 0.30(5023.0-bicycle) 0.45(28399.0-car) 0.49(5423.0-motorcycle) 0.71(2154.0-airplane) 0.60(3790.0-bus) 0.52(3196.0-train) 0.30(6553.0-truck) 0.28(7706.0-boat) 0.29(10204.0-traffic light) 0.55(1291.0-fire hydrant) 0.51(1448.0-stop sign) 0.21(978.0-parking meter) 0.18(6280.0-bench) 0.32(4741.0-bird) 0.69(3095.0-cat) 0.62(2974.0-dog) 0.52(4490.0-horse) 0.70(3553.0-sheep) 0.33(7385.0-cow) 0.80(2965.0-elephant) 0.60(934.0-bear) 0.51(4845.0-zebra) 0.66(3902.0-giraffe) 0.18(5862.0-backpack) 0.33(7865.0-umbrella) 0.13(9633.0-handbag) 0.29(4453.0-tie) 0.20(4805.0-suitcase) 0.41(1921.0-frisbee) 0.27(4493.0-skis) 0.17(1673.0-snowboard) 0.34(4392.0-sports ball) 0.32(6723.0-kite) 0.26(2305.0-baseball bat) 0.26(3022.0-baseball glove) 0.43(3446.0-skateboard) 0.36(3879.0-surfboard) 0.67(2373.0-tennis racket) 0.32(16604.0-bottle) 0.37(4585.0-wine glass) 0.28(16984.0-cup) 0.22(2569.0-fork) 0.12(6467.0-knife) 0.10(5150.0-spoon) 0.26(14494.0-bowl) 0.21(7163.0-banana) 0.14(5499.0-apple) 0.21(3502.0-sandwich) 0.28(2268.0-orange) 0.33(4828.0-broccoli) 0.16(5722.0-carrot) 0.12(1068.0-hot dog) 0.47(3955.0-pizza) 0.26(5465.0-donut) 0.22(4263.0-cake) 0.20(33783.0-chair) 0.32(3838.0-couch) 0.27(6803.0-potted plant) 0.43(2873.0-bed) 0.29(11159.0-dining table) 0.59(2850.0-toilet) 0.48(3952.0-tv) 0.53(2974.0-laptop) 0.57(925.0-mouse) 0.20(3540.0-remote) 0.46(1959.0-keyboard) 0.21(5078.0-cell phone) 0.35(1237.0-microwave) 0.24(2917.0-oven) 0.17(63.0-toaster) 0.37(3993.0-sink) 0.33(1764.0-refrigerator) 0.11(17022.0-book) 0.58(3730.0-clock) 0.35(3877.0-vase) 0.21(1154.0-scissors) 0.62(1854.0-teddy bear) 0.00(0.0-hair drier) 0.05(1754.0-toothbrush)
2021-11-06 23:05:58,235 - mmdet - INFO - pseudo gt: 214291.0 5766.0 35890.0 7418.0 4320.0 5207.0 3739.0 8196.0 8745.0 10398.0 1569.0 1677.0 1054.0 8245.0 8509.0 3908.0 4545.0 5680.0 8119.0 6747.0 4703.0 1082.0 4420.0 4411.0 7439.0 9232.0 10498.0 5258.0 5183.0 2243.0 5407.0 2196.0 5440.0 7348.0 2766.0 3030.0 4595.0 4903.0 4000.0 19720.0 6390.0 17025.0 4543.0 6455.0 5116.0 11774.0 7685.0 4994.0 3433.0 5027.0 5794.0 6477.0 2399.0 5021.0 5418.0 5208.0 31686.0 4782.0 7073.0 3475.0 12989.0 3402.0 4917.0 4269.0 1921.0 4812.0 2329.0 5376.0 1293.0 2669.0 181.0 4587.0 2129.0 20308.0 5144.0 5206.0 1247.0 3715.0 161.0 1672.0
2021-11-06 23:05:58,235 - mmdet - INFO - pseudo mining: 37865.0 126.0 4938.0 462.0 478.0 734.0 429.0 192.0 380.0 1189.0 402.0 877.0 12.0 32.0 197.0 669.0 343.0 674.0 1529.0 405.0 1313.0 256.0 1162.0 1365.0 60.0 692.0 45.0 196.0 51.0 431.0 84.0 23.0 1205.0 1520.0 279.0 461.0 381.0 198.0 1128.0 1374.0 229.0 1287.0 12.0 53.0 28.0 1173.0 177.0 138.0 88.0 519.0 563.0 208.0 1.0 448.0 633.0 101.0 158.0 80.0 458.0 77.0 253.0 1090.0 1014.0 507.0 378.0 76.0 413.0 281.0 143.0 67.0 0.0 644.0 72.0 177.0 2160.0 112.0 5.0 503.0 0.0 0.0
2021-11-06 23:05:59,844 - mmdet - INFO - Iter [24500/40000]	lr: 2.000e-02, eta: 8:14:41, time: 1.714, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0345, loss_cls: 0.0781, acc: 96.9250, loss_bbox: 0.1562, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1491, acc_unlabeled: 91.7948, loss_bbox_unlabeled: 0.1662, losses_cls_ig_unlabeled: 0.1379, pseudo_num: 1.6653, pseudo_num_ig: 6.0668, pseudo_num_mining: 0.8001, pseudo_num(acc): 0.7665, pseudo_num ig(acc): 0.3881, loss: 0.9097
2021-11-06 23:07:24,255 - mmdet - INFO - Iter [24550/40000]	lr: 2.000e-02, eta: 8:12:57, time: 1.683, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0332, loss_cls: 0.0738, acc: 97.1134, loss_bbox: 0.1508, loss_rpn_cls_unlabeled: 0.0785, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1559, acc_unlabeled: 91.5616, loss_bbox_unlabeled: 0.1715, losses_cls_ig_unlabeled: 0.1391, pseudo_num: 1.6651, pseudo_num_ig: 6.0670, pseudo_num_mining: 0.8007, pseudo_num(acc): 0.7666, pseudo_num ig(acc): 0.3881, loss: 0.9071
2021-11-06 23:08:49,410 - mmdet - INFO - Iter [24600/40000]	lr: 2.000e-02, eta: 8:11:15, time: 1.708, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0333, loss_cls: 0.0758, acc: 97.0449, loss_bbox: 0.1541, loss_rpn_cls_unlabeled: 0.0863, loss_rpn_bbox_unlabeled: 0.0943, loss_cls_unlabeled: 0.1546, acc_unlabeled: 91.7604, loss_bbox_unlabeled: 0.1688, losses_cls_ig_unlabeled: 0.1359, pseudo_num: 1.6648, pseudo_num_ig: 6.0672, pseudo_num_mining: 0.8011, pseudo_num(acc): 0.7668, pseudo_num ig(acc): 0.3881, loss: 0.9149
2021-11-06 23:10:12,139 - mmdet - INFO - Iter [24650/40000]	lr: 2.000e-02, eta: 8:09:32, time: 1.655, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0330, loss_cls: 0.0739, acc: 97.0889, loss_bbox: 0.1505, loss_rpn_cls_unlabeled: 0.0805, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1541, acc_unlabeled: 91.9119, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.1353, pseudo_num: 1.6645, pseudo_num_ig: 6.0670, pseudo_num_mining: 0.8017, pseudo_num(acc): 0.7669, pseudo_num ig(acc): 0.3881, loss: 0.9007
2021-11-06 23:11:36,363 - mmdet - INFO - Iter [24700/40000]	lr: 2.000e-02, eta: 8:07:49, time: 1.685, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0328, loss_cls: 0.0762, acc: 97.0016, loss_bbox: 0.1557, loss_rpn_cls_unlabeled: 0.0805, loss_rpn_bbox_unlabeled: 0.0965, loss_cls_unlabeled: 0.1576, acc_unlabeled: 91.7571, loss_bbox_unlabeled: 0.1734, losses_cls_ig_unlabeled: 0.1383, pseudo_num: 1.6643, pseudo_num_ig: 6.0668, pseudo_num_mining: 0.8021, pseudo_num(acc): 0.7670, pseudo_num ig(acc): 0.3882, loss: 0.9218
2021-11-06 23:12:59,983 - mmdet - INFO - Iter [24750/40000]	lr: 2.000e-02, eta: 8:06:06, time: 1.671, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0341, loss_cls: 0.0796, acc: 96.8925, loss_bbox: 0.1627, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1618, acc_unlabeled: 91.7114, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1399, pseudo_num: 1.6641, pseudo_num_ig: 6.0667, pseudo_num_mining: 0.8025, pseudo_num(acc): 0.7671, pseudo_num ig(acc): 0.3882, loss: 0.9471
2021-11-06 23:14:25,065 - mmdet - INFO - Iter [24800/40000]	lr: 2.000e-02, eta: 8:04:24, time: 1.699, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0346, loss_cls: 0.0749, acc: 97.0450, loss_bbox: 0.1539, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.0999, loss_cls_unlabeled: 0.1545, acc_unlabeled: 91.9160, loss_bbox_unlabeled: 0.1744, losses_cls_ig_unlabeled: 0.1349, pseudo_num: 1.6639, pseudo_num_ig: 6.0666, pseudo_num_mining: 0.8030, pseudo_num(acc): 0.7672, pseudo_num ig(acc): 0.3882, loss: 0.9205
2021-11-06 23:15:49,161 - mmdet - INFO - Iter [24850/40000]	lr: 2.000e-02, eta: 8:02:41, time: 1.682, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0322, loss_cls: 0.0725, acc: 97.1423, loss_bbox: 0.1519, loss_rpn_cls_unlabeled: 0.0890, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1535, acc_unlabeled: 91.9056, loss_bbox_unlabeled: 0.1705, losses_cls_ig_unlabeled: 0.1357, pseudo_num: 1.6637, pseudo_num_ig: 6.0668, pseudo_num_mining: 0.8035, pseudo_num(acc): 0.7674, pseudo_num ig(acc): 0.3882, loss: 0.9126
2021-11-06 23:17:13,331 - mmdet - INFO - Iter [24900/40000]	lr: 2.000e-02, eta: 8:00:58, time: 1.686, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0331, loss_cls: 0.0738, acc: 97.1028, loss_bbox: 0.1491, loss_rpn_cls_unlabeled: 0.0820, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1513, acc_unlabeled: 91.8147, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.1371, pseudo_num: 1.6635, pseudo_num_ig: 6.0669, pseudo_num_mining: 0.8040, pseudo_num(acc): 0.7675, pseudo_num ig(acc): 0.3882, loss: 0.9027
2021-11-06 23:18:40,796 - mmdet - INFO - Iter [24950/40000]	lr: 2.000e-02, eta: 7:59:18, time: 1.750, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0348, loss_cls: 0.0784, acc: 96.9338, loss_bbox: 0.1579, loss_rpn_cls_unlabeled: 0.0868, loss_rpn_bbox_unlabeled: 0.1006, loss_cls_unlabeled: 0.1633, acc_unlabeled: 91.6191, loss_bbox_unlabeled: 0.1787, losses_cls_ig_unlabeled: 0.1428, pseudo_num: 1.6633, pseudo_num_ig: 6.0669, pseudo_num_mining: 0.8045, pseudo_num(acc): 0.7676, pseudo_num ig(acc): 0.3883, loss: 0.9551
2021-11-06 23:20:03,396 - mmdet - INFO - pseudo pos: 0.98(48378.0-person) 0.87(1330.0-bicycle) 0.92(7157.0-car) 0.98(1455.0-motorcycle) 0.99(633.0-airplane) 0.99(1001.0-bus) 0.97(987.0-train) 0.69(1755.0-truck) 0.65(2025.0-boat) 0.87(2581.0-traffic light) 0.99(346.0-fire hydrant) 0.96(367.0-stop sign) 0.75(324.0-parking meter) 0.64(1696.0-bench) 0.92(1435.0-bird) 0.96(874.0-cat) 0.94(888.0-dog) 0.96(1223.0-horse) 0.96(915.0-sheep) 0.84(1854.0-cow) 0.99(707.0-elephant) 0.99(254.0-bear) 0.99(1276.0-zebra) 0.99(1273.0-giraffe) 0.43(1544.0-backpack) 0.80(2036.0-umbrella) 0.43(2394.0-handbag) 0.86(1130.0-tie) 0.68(1314.0-suitcase) 0.91(475.0-frisbee) 0.57(1198.0-skis) 0.22(848.0-snowboard) 0.95(1038.0-sports ball) 0.74(1774.0-kite) 0.82(577.0-baseball bat) 0.81(746.0-baseball glove) 0.96(937.0-skateboard) 0.85(1041.0-surfboard) 0.94(566.0-tennis racket) 0.82(3997.0-bottle) 0.92(1137.0-wine glass) 0.80(4249.0-cup) 0.42(655.0-fork) 0.32(1685.0-knife) 0.29(1239.0-spoon) 0.71(3724.0-bowl) 0.61(1767.0-banana) 0.33(1693.0-apple) 0.41(1705.0-sandwich) 0.42(895.0-orange) 0.66(1119.0-broccoli) 0.42(1430.0-carrot) 0.03(6729.0-hot dog) 0.94(1096.0-pizza) 0.71(1570.0-donut) 0.53(1184.0-cake) 0.62(8715.0-chair) 0.77(1079.0-couch) 0.63(1800.0-potted plant) 0.91(809.0-bed) 0.68(3712.0-dining table) 0.92(664.0-toilet) 0.95(1173.0-tv) 0.97(852.0-laptop) 0.95(254.0-mouse) 0.60(857.0-remote) 0.74(527.0-keyboard) 0.65(1358.0-cell phone) 0.96(341.0-microwave) 0.77(827.0-oven) 0.18(44.0-toaster) 0.78(1093.0-sink) 0.91(500.0-refrigerator) 0.23(4279.0-book) 0.96(980.0-clock) 0.87(1017.0-vase) 0.54(313.0-scissors) 0.93(482.0-teddy bear) 0.00(0.0-hair drier) 0.21(521.0-toothbrush)
2021-11-06 23:20:03,397 - mmdet - INFO - pseudo ig: 0.56(180154.0-person) 0.30(5111.0-bicycle) 0.45(28973.0-car) 0.49(5565.0-motorcycle) 0.72(2206.0-airplane) 0.60(3876.0-bus) 0.52(3254.0-train) 0.30(6679.0-truck) 0.28(7813.0-boat) 0.29(10379.0-traffic light) 0.56(1324.0-fire hydrant) 0.51(1475.0-stop sign) 0.21(998.0-parking meter) 0.18(6414.0-bench) 0.32(4878.0-bird) 0.69(3159.0-cat) 0.62(3035.0-dog) 0.51(4586.0-horse) 0.71(3599.0-sheep) 0.33(7526.0-cow) 0.80(3037.0-elephant) 0.60(952.0-bear) 0.51(4933.0-zebra) 0.66(4012.0-giraffe) 0.18(5999.0-backpack) 0.33(8011.0-umbrella) 0.13(9819.0-handbag) 0.29(4523.0-tie) 0.20(4898.0-suitcase) 0.42(1955.0-frisbee) 0.27(4609.0-skis) 0.17(1696.0-snowboard) 0.34(4483.0-sports ball) 0.32(6882.0-kite) 0.27(2359.0-baseball bat) 0.26(3092.0-baseball glove) 0.43(3508.0-skateboard) 0.36(3969.0-surfboard) 0.68(2407.0-tennis racket) 0.32(16904.0-bottle) 0.37(4709.0-wine glass) 0.28(17331.0-cup) 0.23(2615.0-fork) 0.12(6594.0-knife) 0.10(5231.0-spoon) 0.26(14765.0-bowl) 0.21(7259.0-banana) 0.14(5579.0-apple) 0.21(3550.0-sandwich) 0.28(2316.0-orange) 0.33(4891.0-broccoli) 0.16(5860.0-carrot) 0.13(1081.0-hot dog) 0.47(4025.0-pizza) 0.26(5534.0-donut) 0.22(4335.0-cake) 0.20(34500.0-chair) 0.32(3941.0-couch) 0.27(6963.0-potted plant) 0.43(2947.0-bed) 0.29(11374.0-dining table) 0.59(2899.0-toilet) 0.48(4029.0-tv) 0.53(3023.0-laptop) 0.58(938.0-mouse) 0.21(3621.0-remote) 0.46(1993.0-keyboard) 0.21(5179.0-cell phone) 0.35(1277.0-microwave) 0.24(2977.0-oven) 0.13(83.0-toaster) 0.37(4047.0-sink) 0.33(1784.0-refrigerator) 0.11(17362.0-book) 0.58(3813.0-clock) 0.35(3961.0-vase) 0.21(1175.0-scissors) 0.62(1916.0-teddy bear) 0.00(0.0-hair drier) 0.05(1778.0-toothbrush)
2021-11-06 23:20:03,397 - mmdet - INFO - pseudo gt: 218550.0 5900.0 36685.0 7591.0 4425.0 5308.0 3815.0 8384.0 8883.0 10605.0 1606.0 1723.0 1065.0 8434.0 8695.0 4005.0 4645.0 5801.0 8248.0 6922.0 4802.0 1112.0 4508.0 4520.0 7570.0 9399.0 10730.0 5359.0 5273.0 2278.0 5507.0 2236.0 5555.0 7452.0 2808.0 3076.0 4696.0 4985.0 4082.0 20100.0 6577.0 17376.0 4625.0 6595.0 5188.0 11989.0 7824.0 5075.0 3487.0 5129.0 5926.0 6618.0 2462.0 5112.0 5495.0 5276.0 32431.0 4883.0 7250.0 3544.0 13276.0 3477.0 5028.0 4346.0 1959.0 4921.0 2373.0 5482.0 1320.0 2725.0 184.0 4661.0 2174.0 20720.0 5233.0 5329.0 1273.0 3794.0 166.0 1693.0
2021-11-06 23:20:03,397 - mmdet - INFO - pseudo mining: 38707.0 132.0 5085.0 472.0 497.0 754.0 444.0 200.0 389.0 1232.0 418.0 897.0 12.0 32.0 212.0 694.0 350.0 693.0 1559.0 421.0 1341.0 267.0 1197.0 1408.0 61.0 710.0 48.0 201.0 51.0 449.0 87.0 23.0 1238.0 1553.0 296.0 472.0 394.0 205.0 1151.0 1405.0 237.0 1332.0 13.0 56.0 29.0 1186.0 179.0 156.0 88.0 534.0 575.0 216.0 1.0 458.0 639.0 104.0 166.0 85.0 479.0 82.0 259.0 1114.0 1037.0 518.0 387.0 79.0 423.0 288.0 151.0 74.0 0.0 662.0 74.0 181.0 2194.0 114.0 5.0 524.0 0.0 0.0
2021-11-06 23:21:27,552 - mmdet - INFO - current percent: 0.2
2021-11-06 23:21:27,553 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.84-parking meter) (0.95-bench) (0.98-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (0.99-umbrella) (0.84-handbag) (0.99-tie) (0.95-suitcase) (0.99-frisbee) (0.98-skis) (0.81-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.93-fork) (0.92-knife) (0.90-spoon) (0.99-bowl) (0.97-banana) (0.91-apple) (0.98-sandwich) (0.98-orange) (0.98-broccoli) (0.95-carrot) (0.93-hot dog) (0.99-pizza) (1.00-donut) (0.98-cake) (0.93-chair) (0.99-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.92-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.93-toaster) (0.99-sink) (1.00-refrigerator) (0.95-book) (1.00-clock) (0.99-vase) (0.94-scissors) (1.00-teddy bear) (0.05-hair drier) (0.86-toothbrush)
2021-11-06 23:21:27,554 - mmdet - INFO - update score thr (ignore): (0.16-person) (0.11-bicycle) (0.28-car) (0.20-motorcycle) (0.70-airplane) (0.34-bus) (0.30-train) (0.35-truck) (0.21-boat) (0.19-traffic light) (0.70-fire hydrant) (0.65-stop sign) (0.05-parking meter) (0.20-bench) (0.07-bird) (0.51-cat) (0.34-dog) (0.17-horse) (0.58-sheep) (0.23-cow) (0.86-elephant) (0.72-bear) (0.08-zebra) (0.05-giraffe) (0.29-backpack) (0.11-umbrella) (0.14-handbag) (0.12-tie) (0.15-suitcase) (0.42-frisbee) (0.23-skis) (0.15-snowboard) (0.45-sports ball) (0.37-kite) (0.49-baseball bat) (0.59-baseball glove) (0.22-skateboard) (0.30-surfboard) (0.44-tennis racket) (0.34-bottle) (0.13-wine glass) (0.26-cup) (0.05-fork) (0.25-knife) (0.17-spoon) (0.31-bowl) (0.12-banana) (0.12-apple) (0.33-sandwich) (0.51-orange) (0.42-broccoli) (0.46-carrot) (0.35-hot dog) (0.36-pizza) (0.72-donut) (0.27-cake) (0.15-chair) (0.51-couch) (0.24-potted plant) (0.34-bed) (0.24-dining table) (0.63-toilet) (0.72-tv) (0.48-laptop) (0.79-mouse) (0.18-remote) (0.88-keyboard) (0.41-cell phone) (0.54-microwave) (0.39-oven) (0.52-toaster) (0.34-sink) (0.51-refrigerator) (0.28-book) (0.65-clock) (0.17-vase) (0.16-scissors) (0.80-teddy bear) (0.05-hair drier) (0.13-toothbrush)
2021-11-06 23:21:27,914 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 23:21:27,914 - mmdet - INFO - Iter [25000/40000]	lr: 2.000e-02, eta: 7:57:36, time: 1.684, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0318, loss_cls: 0.0747, acc: 97.0840, loss_bbox: 0.1502, loss_rpn_cls_unlabeled: 0.0802, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1635, acc_unlabeled: 91.6699, loss_bbox_unlabeled: 0.1773, losses_cls_ig_unlabeled: 0.1391, pseudo_num: 1.6632, pseudo_num_ig: 6.0669, pseudo_num_mining: 0.8049, pseudo_num(acc): 0.7677, pseudo_num ig(acc): 0.3883, loss: 0.9178
2021-11-06 23:22:51,970 - mmdet - INFO - Iter [25050/40000]	lr: 2.000e-02, eta: 7:56:43, time: 3.336, data_time: 1.684, memory: 26488, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0338, loss_cls: 0.0757, acc: 97.0283, loss_bbox: 0.1529, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0913, loss_cls_unlabeled: 0.1561, acc_unlabeled: 91.9545, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1298, pseudo_num: 1.6631, pseudo_num_ig: 6.0670, pseudo_num_mining: 0.8055, pseudo_num(acc): 0.7678, pseudo_num ig(acc): 0.3883, loss: 0.9078
2021-11-06 23:24:16,817 - mmdet - INFO - Iter [25100/40000]	lr: 2.000e-02, eta: 7:55:01, time: 1.701, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0341, loss_cls: 0.0735, acc: 97.0929, loss_bbox: 0.1509, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1625, acc_unlabeled: 91.9453, loss_bbox_unlabeled: 0.1779, losses_cls_ig_unlabeled: 0.1339, pseudo_num: 1.6630, pseudo_num_ig: 6.0667, pseudo_num_mining: 0.8060, pseudo_num(acc): 0.7679, pseudo_num ig(acc): 0.3883, loss: 0.9234
2021-11-06 23:25:41,195 - mmdet - INFO - Iter [25150/40000]	lr: 2.000e-02, eta: 7:53:18, time: 1.686, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0330, loss_cls: 0.0728, acc: 97.1180, loss_bbox: 0.1510, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1565, acc_unlabeled: 91.9205, loss_bbox_unlabeled: 0.1724, losses_cls_ig_unlabeled: 0.1347, pseudo_num: 1.6628, pseudo_num_ig: 6.0664, pseudo_num_mining: 0.8065, pseudo_num(acc): 0.7680, pseudo_num ig(acc): 0.3883, loss: 0.9071
2021-11-06 23:27:06,427 - mmdet - INFO - Iter [25200/40000]	lr: 2.000e-02, eta: 7:51:37, time: 1.706, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0337, loss_cls: 0.0766, acc: 96.9961, loss_bbox: 0.1534, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1551, acc_unlabeled: 91.6370, loss_bbox_unlabeled: 0.1679, losses_cls_ig_unlabeled: 0.1400, pseudo_num: 1.6626, pseudo_num_ig: 6.0664, pseudo_num_mining: 0.8070, pseudo_num(acc): 0.7681, pseudo_num ig(acc): 0.3884, loss: 0.9124
2021-11-06 23:28:31,490 - mmdet - INFO - Iter [25250/40000]	lr: 2.000e-02, eta: 7:49:55, time: 1.701, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0334, loss_cls: 0.0744, acc: 97.1017, loss_bbox: 0.1520, loss_rpn_cls_unlabeled: 0.0899, loss_rpn_bbox_unlabeled: 0.0948, loss_cls_unlabeled: 0.1631, acc_unlabeled: 91.8268, loss_bbox_unlabeled: 0.1798, losses_cls_ig_unlabeled: 0.1355, pseudo_num: 1.6624, pseudo_num_ig: 6.0660, pseudo_num_mining: 0.8073, pseudo_num(acc): 0.7682, pseudo_num ig(acc): 0.3884, loss: 0.9343
2021-11-06 23:29:55,957 - mmdet - INFO - Iter [25300/40000]	lr: 2.000e-02, eta: 7:48:13, time: 1.689, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0313, loss_cls: 0.0745, acc: 97.0952, loss_bbox: 0.1521, loss_rpn_cls_unlabeled: 0.0814, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1544, acc_unlabeled: 91.7283, loss_bbox_unlabeled: 0.1697, losses_cls_ig_unlabeled: 0.1385, pseudo_num: 1.6622, pseudo_num_ig: 6.0660, pseudo_num_mining: 0.8078, pseudo_num(acc): 0.7683, pseudo_num ig(acc): 0.3884, loss: 0.9047
2021-11-06 23:31:21,146 - mmdet - INFO - Iter [25350/40000]	lr: 2.000e-02, eta: 7:46:31, time: 1.702, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0327, loss_cls: 0.0727, acc: 97.1660, loss_bbox: 0.1495, loss_rpn_cls_unlabeled: 0.0865, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1568, acc_unlabeled: 91.5320, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.1417, pseudo_num: 1.6619, pseudo_num_ig: 6.0661, pseudo_num_mining: 0.8083, pseudo_num(acc): 0.7683, pseudo_num ig(acc): 0.3884, loss: 0.9180
2021-11-06 23:32:46,779 - mmdet - INFO - Iter [25400/40000]	lr: 2.000e-02, eta: 7:44:50, time: 1.715, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0349, loss_cls: 0.0783, acc: 96.9376, loss_bbox: 0.1581, loss_rpn_cls_unlabeled: 0.0780, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1555, acc_unlabeled: 91.8463, loss_bbox_unlabeled: 0.1678, losses_cls_ig_unlabeled: 0.1392, pseudo_num: 1.6616, pseudo_num_ig: 6.0662, pseudo_num_mining: 0.8088, pseudo_num(acc): 0.7684, pseudo_num ig(acc): 0.3884, loss: 0.9142
2021-11-06 23:34:11,519 - mmdet - INFO - Iter [25450/40000]	lr: 2.000e-02, eta: 7:43:08, time: 1.691, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0319, loss_cls: 0.0733, acc: 97.1466, loss_bbox: 0.1501, loss_rpn_cls_unlabeled: 0.0831, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1575, acc_unlabeled: 91.9492, loss_bbox_unlabeled: 0.1739, losses_cls_ig_unlabeled: 0.1325, pseudo_num: 1.6614, pseudo_num_ig: 6.0658, pseudo_num_mining: 0.8093, pseudo_num(acc): 0.7685, pseudo_num ig(acc): 0.3885, loss: 0.9032
2021-11-06 23:35:33,991 - mmdet - INFO - pseudo pos: 0.98(49313.0-person) 0.87(1352.0-bicycle) 0.92(7294.0-car) 0.98(1476.0-motorcycle) 0.99(651.0-airplane) 0.99(1023.0-bus) 0.97(1000.0-train) 0.69(1793.0-truck) 0.65(2068.0-boat) 0.87(2632.0-traffic light) 0.99(359.0-fire hydrant) 0.96(376.0-stop sign) 0.76(329.0-parking meter) 0.64(1728.0-bench) 0.92(1456.0-bird) 0.96(904.0-cat) 0.94(900.0-dog) 0.96(1244.0-horse) 0.96(944.0-sheep) 0.84(1891.0-cow) 0.99(721.0-elephant) 0.99(258.0-bear) 0.99(1295.0-zebra) 0.99(1301.0-giraffe) 0.43(1576.0-backpack) 0.80(2063.0-umbrella) 0.43(2441.0-handbag) 0.86(1145.0-tie) 0.68(1336.0-suitcase) 0.91(488.0-frisbee) 0.57(1212.0-skis) 0.22(867.0-snowboard) 0.95(1054.0-sports ball) 0.74(1803.0-kite) 0.82(586.0-baseball bat) 0.81(764.0-baseball glove) 0.96(962.0-skateboard) 0.85(1058.0-surfboard) 0.95(583.0-tennis racket) 0.82(4048.0-bottle) 0.92(1160.0-wine glass) 0.80(4332.0-cup) 0.43(676.0-fork) 0.32(1708.0-knife) 0.29(1267.0-spoon) 0.71(3797.0-bowl) 0.61(1791.0-banana) 0.34(1710.0-apple) 0.42(1717.0-sandwich) 0.43(902.0-orange) 0.66(1152.0-broccoli) 0.41(1473.0-carrot) 0.03(6732.0-hot dog) 0.94(1113.0-pizza) 0.71(1588.0-donut) 0.53(1206.0-cake) 0.62(8859.0-chair) 0.77(1092.0-couch) 0.63(1834.0-potted plant) 0.91(825.0-bed) 0.68(3776.0-dining table) 0.92(677.0-toilet) 0.95(1192.0-tv) 0.97(864.0-laptop) 0.95(258.0-mouse) 0.60(869.0-remote) 0.74(535.0-keyboard) 0.66(1387.0-cell phone) 0.96(354.0-microwave) 0.77(841.0-oven) 0.18(44.0-toaster) 0.78(1123.0-sink) 0.91(510.0-refrigerator) 0.23(4364.0-book) 0.96(995.0-clock) 0.87(1037.0-vase) 0.54(314.0-scissors) 0.93(491.0-teddy bear) 0.00(0.0-hair drier) 0.21(528.0-toothbrush)
2021-11-06 23:35:33,992 - mmdet - INFO - pseudo ig: 0.56(183417.0-person) 0.30(5204.0-bicycle) 0.45(29585.0-car) 0.49(5662.0-motorcycle) 0.72(2232.0-airplane) 0.60(3946.0-bus) 0.52(3310.0-train) 0.30(6828.0-truck) 0.28(7985.0-boat) 0.29(10603.0-traffic light) 0.56(1334.0-fire hydrant) 0.51(1512.0-stop sign) 0.21(1015.0-parking meter) 0.18(6543.0-bench) 0.32(5003.0-bird) 0.69(3221.0-cat) 0.62(3097.0-dog) 0.51(4688.0-horse) 0.71(3677.0-sheep) 0.33(7680.0-cow) 0.80(3106.0-elephant) 0.61(965.0-bear) 0.51(5010.0-zebra) 0.66(4097.0-giraffe) 0.18(6119.0-backpack) 0.33(8154.0-umbrella) 0.13(10013.0-handbag) 0.29(4623.0-tie) 0.20(5024.0-suitcase) 0.42(1995.0-frisbee) 0.27(4673.0-skis) 0.17(1721.0-snowboard) 0.34(4556.0-sports ball) 0.32(7007.0-kite) 0.27(2397.0-baseball bat) 0.26(3157.0-baseball glove) 0.43(3587.0-skateboard) 0.37(4041.0-surfboard) 0.68(2468.0-tennis racket) 0.32(17222.0-bottle) 0.37(4804.0-wine glass) 0.28(17661.0-cup) 0.22(2697.0-fork) 0.12(6722.0-knife) 0.10(5344.0-spoon) 0.26(15094.0-bowl) 0.21(7383.0-banana) 0.14(5685.0-apple) 0.21(3605.0-sandwich) 0.28(2335.0-orange) 0.33(4978.0-broccoli) 0.15(6011.0-carrot) 0.13(1095.0-hot dog) 0.47(4093.0-pizza) 0.26(5623.0-donut) 0.22(4413.0-cake) 0.20(35034.0-chair) 0.32(3991.0-couch) 0.27(7114.0-potted plant) 0.43(2994.0-bed) 0.29(11600.0-dining table) 0.59(2960.0-toilet) 0.48(4108.0-tv) 0.53(3079.0-laptop) 0.58(952.0-mouse) 0.21(3667.0-remote) 0.46(2022.0-keyboard) 0.21(5296.0-cell phone) 0.35(1294.0-microwave) 0.24(3029.0-oven) 0.15(87.0-toaster) 0.37(4127.0-sink) 0.33(1820.0-refrigerator) 0.11(17665.0-book) 0.58(3908.0-clock) 0.35(4069.0-vase) 0.21(1187.0-scissors) 0.62(1954.0-teddy bear) 0.00(0.0-hair drier) 0.05(1806.0-toothbrush)
2021-11-06 23:35:33,992 - mmdet - INFO - pseudo gt: 222668.0 5989.0 37386.0 7745.0 4497.0 5402.0 3883.0 8586.0 9065.0 10799.0 1636.0 1757.0 1078.0 8604.0 8874.0 4086.0 4722.0 5906.0 8376.0 7052.0 4916.0 1131.0 4586.0 4607.0 7696.0 9557.0 10916.0 5437.0 5361.0 2315.0 5591.0 2269.0 5666.0 7574.0 2863.0 3141.0 4795.0 5103.0 4168.0 20496.0 6727.0 17780.0 4719.0 6697.0 5280.0 12224.0 7936.0 5129.0 3550.0 5177.0 6024.0 6708.0 2509.0 5200.0 5589.0 5344.0 32956.0 4982.0 7403.0 3611.0 13513.0 3548.0 5135.0 4424.0 1993.0 5014.0 2423.0 5604.0 1348.0 2790.0 191.0 4764.0 2226.0 21143.0 5325.0 5446.0 1290.0 3880.0 168.0 1738.0
2021-11-06 23:35:33,992 - mmdet - INFO - pseudo mining: 39567.0 135.0 5226.0 494.0 506.0 775.0 454.0 210.0 398.0 1262.0 425.0 919.0 12.0 35.0 219.0 709.0 363.0 719.0 1593.0 445.0 1385.0 275.0 1227.0 1435.0 64.0 719.0 48.0 205.0 52.0 462.0 90.0 24.0 1268.0 1587.0 304.0 495.0 404.0 214.0 1175.0 1451.0 249.0 1368.0 14.0 58.0 30.0 1231.0 183.0 156.0 89.0 539.0 588.0 225.0 1.0 468.0 676.0 106.0 170.0 90.0 497.0 84.0 266.0 1143.0 1091.0 535.0 397.0 80.0 442.0 301.0 158.0 80.0 2.0 688.0 78.0 189.0 2251.0 121.0 5.0 543.0 0.0 0.0
2021-11-06 23:35:35,457 - mmdet - INFO - Iter [25500/40000]	lr: 2.000e-02, eta: 7:41:26, time: 1.681, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0327, loss_cls: 0.0757, acc: 97.0391, loss_bbox: 0.1528, loss_rpn_cls_unlabeled: 0.0825, loss_rpn_bbox_unlabeled: 0.0951, loss_cls_unlabeled: 0.1541, acc_unlabeled: 91.9142, loss_bbox_unlabeled: 0.1725, losses_cls_ig_unlabeled: 0.1357, pseudo_num: 1.6612, pseudo_num_ig: 6.0654, pseudo_num_mining: 0.8096, pseudo_num(acc): 0.7686, pseudo_num ig(acc): 0.3885, loss: 0.9121
2021-11-06 23:37:00,397 - mmdet - INFO - Iter [25550/40000]	lr: 2.000e-02, eta: 7:39:45, time: 1.700, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0341, loss_cls: 0.0738, acc: 97.1268, loss_bbox: 0.1508, loss_rpn_cls_unlabeled: 0.0867, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1497, acc_unlabeled: 91.8651, loss_bbox_unlabeled: 0.1714, losses_cls_ig_unlabeled: 0.1338, pseudo_num: 1.6611, pseudo_num_ig: 6.0651, pseudo_num_mining: 0.8100, pseudo_num(acc): 0.7687, pseudo_num ig(acc): 0.3885, loss: 0.9046
2021-11-06 23:38:25,877 - mmdet - INFO - Iter [25600/40000]	lr: 2.000e-02, eta: 7:38:04, time: 1.708, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0335, loss_cls: 0.0755, acc: 97.0341, loss_bbox: 0.1518, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.1010, loss_cls_unlabeled: 0.1646, acc_unlabeled: 91.5618, loss_bbox_unlabeled: 0.1779, losses_cls_ig_unlabeled: 0.1409, pseudo_num: 1.6611, pseudo_num_ig: 6.0652, pseudo_num_mining: 0.8104, pseudo_num(acc): 0.7688, pseudo_num ig(acc): 0.3885, loss: 0.9421
2021-11-06 23:41:07,077 - mmdet - INFO - Iter [25650/40000]	lr: 2.000e-02, eta: 7:37:05, time: 3.224, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0350, loss_cls: 0.0779, acc: 96.9594, loss_bbox: 0.1577, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1530, acc_unlabeled: 91.9094, loss_bbox_unlabeled: 0.1705, losses_cls_ig_unlabeled: 0.1382, pseudo_num: 1.6609, pseudo_num_ig: 6.0651, pseudo_num_mining: 0.8108, pseudo_num(acc): 0.7689, pseudo_num ig(acc): 0.3885, loss: 0.9179
2021-11-06 23:42:32,110 - mmdet - INFO - Iter [25700/40000]	lr: 2.000e-02, eta: 7:35:24, time: 1.702, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0329, loss_cls: 0.0744, acc: 97.0951, loss_bbox: 0.1512, loss_rpn_cls_unlabeled: 0.0815, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1620, acc_unlabeled: 91.8619, loss_bbox_unlabeled: 0.1789, losses_cls_ig_unlabeled: 0.1363, pseudo_num: 1.6607, pseudo_num_ig: 6.0648, pseudo_num_mining: 0.8112, pseudo_num(acc): 0.7690, pseudo_num ig(acc): 0.3886, loss: 0.9234
2021-11-06 23:43:56,909 - mmdet - INFO - Iter [25750/40000]	lr: 2.000e-02, eta: 7:33:42, time: 1.695, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0332, loss_cls: 0.0765, acc: 97.0363, loss_bbox: 0.1567, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1661, acc_unlabeled: 91.8655, loss_bbox_unlabeled: 0.1819, losses_cls_ig_unlabeled: 0.1336, pseudo_num: 1.6607, pseudo_num_ig: 6.0649, pseudo_num_mining: 0.8117, pseudo_num(acc): 0.7691, pseudo_num ig(acc): 0.3886, loss: 0.9393
2021-11-06 23:45:23,646 - mmdet - INFO - Iter [25800/40000]	lr: 2.000e-02, eta: 7:32:02, time: 1.734, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0337, loss_cls: 0.0741, acc: 97.1066, loss_bbox: 0.1530, loss_rpn_cls_unlabeled: 0.0800, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1556, acc_unlabeled: 91.9845, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1318, pseudo_num: 1.6606, pseudo_num_ig: 6.0649, pseudo_num_mining: 0.8122, pseudo_num(acc): 0.7692, pseudo_num ig(acc): 0.3886, loss: 0.9073
2021-11-06 23:46:49,251 - mmdet - INFO - Iter [25850/40000]	lr: 2.000e-02, eta: 7:30:21, time: 1.714, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0331, loss_cls: 0.0729, acc: 97.1486, loss_bbox: 0.1551, loss_rpn_cls_unlabeled: 0.0821, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1529, acc_unlabeled: 91.9312, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1334, pseudo_num: 1.6604, pseudo_num_ig: 6.0646, pseudo_num_mining: 0.8127, pseudo_num(acc): 0.7693, pseudo_num ig(acc): 0.3886, loss: 0.9044
2021-11-06 23:48:14,214 - mmdet - INFO - Iter [25900/40000]	lr: 2.000e-02, eta: 7:28:40, time: 1.699, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0333, loss_cls: 0.0733, acc: 97.1260, loss_bbox: 0.1502, loss_rpn_cls_unlabeled: 0.0818, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1618, acc_unlabeled: 91.8698, loss_bbox_unlabeled: 0.1756, losses_cls_ig_unlabeled: 0.1318, pseudo_num: 1.6602, pseudo_num_ig: 6.0642, pseudo_num_mining: 0.8132, pseudo_num(acc): 0.7694, pseudo_num ig(acc): 0.3886, loss: 0.9115
2021-11-06 23:49:39,131 - mmdet - INFO - Iter [25950/40000]	lr: 2.000e-02, eta: 7:26:59, time: 1.697, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0319, loss_cls: 0.0708, acc: 97.2133, loss_bbox: 0.1475, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0951, loss_cls_unlabeled: 0.1552, acc_unlabeled: 91.6326, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.1377, pseudo_num: 1.6601, pseudo_num_ig: 6.0642, pseudo_num_mining: 0.8137, pseudo_num(acc): 0.7695, pseudo_num ig(acc): 0.3886, loss: 0.9047
2021-11-06 23:51:01,889 - mmdet - INFO - pseudo pos: 0.98(50348.0-person) 0.87(1386.0-bicycle) 0.92(7406.0-car) 0.98(1514.0-motorcycle) 0.99(667.0-airplane) 0.99(1042.0-bus) 0.98(1024.0-train) 0.69(1810.0-truck) 0.65(2119.0-boat) 0.87(2691.0-traffic light) 0.99(365.0-fire hydrant) 0.96(390.0-stop sign) 0.76(336.0-parking meter) 0.64(1750.0-bench) 0.92(1487.0-bird) 0.96(920.0-cat) 0.94(916.0-dog) 0.96(1265.0-horse) 0.96(970.0-sheep) 0.84(1935.0-cow) 0.99(738.0-elephant) 0.99(261.0-bear) 0.99(1332.0-zebra) 0.99(1334.0-giraffe) 0.43(1618.0-backpack) 0.80(2103.0-umbrella) 0.43(2489.0-handbag) 0.86(1162.0-tie) 0.68(1364.0-suitcase) 0.91(501.0-frisbee) 0.58(1244.0-skis) 0.23(881.0-snowboard) 0.95(1083.0-sports ball) 0.74(1845.0-kite) 0.82(596.0-baseball bat) 0.81(774.0-baseball glove) 0.96(987.0-skateboard) 0.85(1079.0-surfboard) 0.95(599.0-tennis racket) 0.82(4100.0-bottle) 0.92(1175.0-wine glass) 0.80(4428.0-cup) 0.43(694.0-fork) 0.32(1742.0-knife) 0.29(1297.0-spoon) 0.71(3876.0-bowl) 0.61(1828.0-banana) 0.33(1738.0-apple) 0.42(1731.0-sandwich) 0.43(914.0-orange) 0.66(1190.0-broccoli) 0.42(1522.0-carrot) 0.03(6733.0-hot dog) 0.94(1139.0-pizza) 0.71(1616.0-donut) 0.53(1221.0-cake) 0.62(9016.0-chair) 0.77(1102.0-couch) 0.64(1862.0-potted plant) 0.91(845.0-bed) 0.68(3853.0-dining table) 0.93(698.0-toilet) 0.95(1205.0-tv) 0.97(879.0-laptop) 0.95(264.0-mouse) 0.61(898.0-remote) 0.74(543.0-keyboard) 0.66(1409.0-cell phone) 0.96(361.0-microwave) 0.78(850.0-oven) 0.18(44.0-toaster) 0.78(1146.0-sink) 0.92(518.0-refrigerator) 0.23(4457.0-book) 0.96(1011.0-clock) 0.87(1057.0-vase) 0.54(319.0-scissors) 0.93(505.0-teddy bear) 0.00(0.0-hair drier) 0.21(538.0-toothbrush)
2021-11-06 23:51:01,889 - mmdet - INFO - pseudo ig: 0.56(186807.0-person) 0.30(5320.0-bicycle) 0.45(30222.0-car) 0.49(5773.0-motorcycle) 0.72(2251.0-airplane) 0.60(4012.0-bus) 0.52(3387.0-train) 0.30(6941.0-truck) 0.28(8197.0-boat) 0.29(10852.0-traffic light) 0.56(1340.0-fire hydrant) 0.50(1554.0-stop sign) 0.21(1033.0-parking meter) 0.18(6647.0-bench) 0.32(5112.0-bird) 0.69(3282.0-cat) 0.62(3157.0-dog) 0.51(4776.0-horse) 0.70(3814.0-sheep) 0.33(7834.0-cow) 0.80(3162.0-elephant) 0.60(979.0-bear) 0.51(5093.0-zebra) 0.65(4184.0-giraffe) 0.18(6298.0-backpack) 0.33(8294.0-umbrella) 0.13(10225.0-handbag) 0.29(4692.0-tie) 0.21(5153.0-suitcase) 0.42(2039.0-frisbee) 0.28(4803.0-skis) 0.17(1750.0-snowboard) 0.34(4638.0-sports ball) 0.32(7119.0-kite) 0.26(2468.0-baseball bat) 0.26(3212.0-baseball glove) 0.43(3649.0-skateboard) 0.37(4122.0-surfboard) 0.68(2527.0-tennis racket) 0.33(17534.0-bottle) 0.37(4868.0-wine glass) 0.28(17955.0-cup) 0.22(2779.0-fork) 0.12(6873.0-knife) 0.10(5441.0-spoon) 0.26(15394.0-bowl) 0.21(7601.0-banana) 0.14(5821.0-apple) 0.21(3661.0-sandwich) 0.28(2376.0-orange) 0.33(5067.0-broccoli) 0.15(6138.0-carrot) 0.13(1112.0-hot dog) 0.47(4158.0-pizza) 0.26(5699.0-donut) 0.22(4479.0-cake) 0.20(35634.0-chair) 0.33(4059.0-couch) 0.27(7262.0-potted plant) 0.43(3053.0-bed) 0.30(11826.0-dining table) 0.59(3017.0-toilet) 0.48(4166.0-tv) 0.53(3130.0-laptop) 0.58(980.0-mouse) 0.21(3743.0-remote) 0.46(2050.0-keyboard) 0.21(5400.0-cell phone) 0.35(1315.0-microwave) 0.24(3082.0-oven) 0.15(87.0-toaster) 0.37(4193.0-sink) 0.33(1841.0-refrigerator) 0.11(17971.0-book) 0.58(3991.0-clock) 0.35(4146.0-vase) 0.21(1205.0-scissors) 0.62(2020.0-teddy bear) 0.00(0.0-hair drier) 0.05(1843.0-toothbrush)
2021-11-06 23:51:01,890 - mmdet - INFO - pseudo gt: 226892.0 6136.0 38025.0 7900.0 4587.0 5499.0 3971.0 8735.0 9280.0 11013.0 1650.0 1799.0 1095.0 8761.0 9002.0 4172.0 4799.0 5997.0 8557.0 7243.0 5015.0 1146.0 4688.0 4698.0 7869.0 9735.0 11099.0 5550.0 5516.0 2361.0 5745.0 2318.0 5803.0 7698.0 2910.0 3204.0 4880.0 5209.0 4276.0 20930.0 6848.0 18092.0 4808.0 6820.0 5358.0 12454.0 8075.0 5196.0 3623.0 5256.0 6155.0 6897.0 2578.0 5296.0 5690.0 5410.0 33554.0 5091.0 7518.0 3684.0 13750.0 3620.0 5225.0 4499.0 2032.0 5137.0 2463.0 5702.0 1373.0 2840.0 192.0 4832.0 2265.0 21552.0 5436.0 5548.0 1305.0 3999.0 170.0 1765.0
2021-11-06 23:51:01,890 - mmdet - INFO - pseudo mining: 40472.0 140.0 5371.0 513.0 511.0 793.0 465.0 213.0 409.0 1289.0 428.0 945.0 12.0 35.0 224.0 732.0 376.0 736.0 1659.0 464.0 1430.0 279.0 1246.0 1469.0 67.0 725.0 48.0 206.0 54.0 473.0 99.0 24.0 1296.0 1615.0 322.0 517.0 411.0 222.0 1208.0 1491.0 258.0 1396.0 15.0 61.0 30.0 1263.0 192.0 156.0 89.0 550.0 598.0 233.0 1.0 480.0 702.0 112.0 173.0 94.0 509.0 86.0 272.0 1173.0 1121.0 555.0 417.0 83.0 463.0 311.0 164.0 82.0 2.0 700.0 82.0 202.0 2315.0 127.0 5.0 569.0 0.0 0.0
2021-11-06 23:51:53,472 - mmdet - INFO - Evaluating bbox...
2021-11-06 23:52:52,902 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.379 | bicycle      | 0.164 | car            | 0.312 |
| motorcycle    | 0.238 | airplane     | 0.341 | bus            | 0.482 |
| train         | 0.396 | truck        | 0.147 | boat           | 0.128 |
| traffic light | 0.196 | fire hydrant | 0.457 | stop sign      | 0.421 |
| parking meter | 0.343 | bench        | 0.116 | bird           | 0.162 |
| cat           | 0.375 | dog          | 0.358 | horse          | 0.355 |
| sheep         | 0.284 | cow          | 0.342 | elephant       | 0.426 |
| bear          | 0.453 | zebra        | 0.462 | giraffe        | 0.473 |
| backpack      | 0.056 | umbrella     | 0.189 | handbag        | 0.047 |
| tie           | 0.168 | suitcase     | 0.110 | frisbee        | 0.418 |
| skis          | 0.075 | snowboard    | 0.070 | sports ball    | 0.306 |
| kite          | 0.218 | baseball bat | 0.125 | baseball glove | 0.187 |
| skateboard    | 0.287 | surfboard    | 0.173 | tennis racket  | 0.254 |
| bottle        | 0.238 | wine glass   | 0.199 | cup            | 0.254 |
| fork          | 0.051 | knife        | 0.038 | spoon          | 0.022 |
| bowl          | 0.257 | banana       | 0.074 | apple          | 0.078 |
| sandwich      | 0.168 | orange       | 0.149 | broccoli       | 0.128 |
| carrot        | 0.044 | hot dog      | 0.079 | pizza          | 0.341 |
| donut         | 0.204 | cake         | 0.118 | chair          | 0.105 |
| couch         | 0.230 | potted plant | 0.112 | bed            | 0.279 |
| dining table  | 0.153 | toilet       | 0.376 | tv             | 0.376 |
| laptop        | 0.371 | mouse        | 0.411 | remote         | 0.066 |
| keyboard      | 0.266 | cell phone   | 0.199 | microwave      | 0.326 |
| oven          | 0.160 | toaster      | 0.028 | sink           | 0.173 |
| refrigerator  | 0.309 | book         | 0.017 | clock          | 0.386 |
| vase          | 0.191 | scissors     | 0.122 | teddy bear     | 0.261 |
| hair drier    | 0.000 | toothbrush   | 0.048 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 23:53:47,423 - mmdet - INFO - Evaluating bbox...
2021-11-06 23:54:47,539 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.396 | bicycle      | 0.188 | car            | 0.317 |
| motorcycle    | 0.258 | airplane     | 0.365 | bus            | 0.497 |
| train         | 0.418 | truck        | 0.147 | boat           | 0.133 |
| traffic light | 0.208 | fire hydrant | 0.487 | stop sign      | 0.445 |
| parking meter | 0.366 | bench        | 0.134 | bird           | 0.178 |
| cat           | 0.437 | dog          | 0.391 | horse          | 0.400 |
| sheep         | 0.320 | cow          | 0.376 | elephant       | 0.446 |
| bear          | 0.502 | zebra        | 0.480 | giraffe        | 0.525 |
| backpack      | 0.053 | umbrella     | 0.199 | handbag        | 0.056 |
| tie           | 0.185 | suitcase     | 0.119 | frisbee        | 0.410 |
| skis          | 0.083 | snowboard    | 0.059 | sports ball    | 0.305 |
| kite          | 0.224 | baseball bat | 0.138 | baseball glove | 0.216 |
| skateboard    | 0.307 | surfboard    | 0.201 | tennis racket  | 0.274 |
| bottle        | 0.253 | wine glass   | 0.205 | cup            | 0.266 |
| fork          | 0.061 | knife        | 0.042 | spoon          | 0.028 |
| bowl          | 0.276 | banana       | 0.087 | apple          | 0.076 |
| sandwich      | 0.197 | orange       | 0.155 | broccoli       | 0.140 |
| carrot        | 0.055 | hot dog      | 0.077 | pizza          | 0.368 |
| donut         | 0.228 | cake         | 0.123 | chair          | 0.115 |
| couch         | 0.247 | potted plant | 0.126 | bed            | 0.308 |
| dining table  | 0.141 | toilet       | 0.410 | tv             | 0.413 |
| laptop        | 0.406 | mouse        | 0.462 | remote         | 0.079 |
| keyboard      | 0.277 | cell phone   | 0.197 | microwave      | 0.365 |
| oven          | 0.173 | toaster      | 0.045 | sink           | 0.175 |
| refrigerator  | 0.358 | book         | 0.020 | clock          | 0.394 |
| vase          | 0.218 | scissors     | 0.134 | teddy bear     | 0.288 |
| hair drier    | 0.000 | toothbrush   | 0.057 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-06 23:56:10,398 - mmdet - INFO - current percent: 0.2
2021-11-06 23:56:10,398 - mmdet - INFO - update score thr (positive): (1.00-person) (0.96-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.99-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.95-parking meter) (0.93-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.93-backpack) (0.99-umbrella) (0.89-handbag) (0.98-tie) (0.96-suitcase) (0.99-frisbee) (0.96-skis) (0.90-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (0.99-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.94-fork) (0.94-knife) (0.93-spoon) (0.98-bowl) (0.98-banana) (0.97-apple) (0.99-sandwich) (0.98-orange) (0.99-broccoli) (0.95-carrot) (0.95-hot dog) (1.00-pizza) (0.99-donut) (0.98-cake) (0.96-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.83-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.60-toaster) (0.99-sink) (0.99-refrigerator) (0.94-book) (1.00-clock) (0.98-vase) (0.73-scissors) (1.00-teddy bear) (0.05-hair drier) (0.71-toothbrush)
2021-11-06 23:56:10,398 - mmdet - INFO - update score thr (ignore): (0.14-person) (0.09-bicycle) (0.32-car) (0.20-motorcycle) (0.66-airplane) (0.43-bus) (0.32-train) (0.35-truck) (0.37-boat) (0.27-traffic light) (0.70-fire hydrant) (0.80-stop sign) (0.09-parking meter) (0.17-bench) (0.10-bird) (0.72-cat) (0.48-dog) (0.20-horse) (0.84-sheep) (0.26-cow) (0.47-elephant) (0.51-bear) (0.08-zebra) (0.08-giraffe) (0.31-backpack) (0.20-umbrella) (0.22-handbag) (0.13-tie) (0.18-suitcase) (0.59-frisbee) (0.19-skis) (0.21-snowboard) (0.46-sports ball) (0.45-kite) (0.36-baseball bat) (0.47-baseball glove) (0.22-skateboard) (0.27-surfboard) (0.72-tennis racket) (0.33-bottle) (0.11-wine glass) (0.29-cup) (0.11-fork) (0.30-knife) (0.18-spoon) (0.33-bowl) (0.20-banana) (0.37-apple) (0.33-sandwich) (0.52-orange) (0.43-broccoli) (0.45-carrot) (0.50-hot dog) (0.45-pizza) (0.64-donut) (0.28-cake) (0.16-chair) (0.36-couch) (0.34-potted plant) (0.44-bed) (0.31-dining table) (0.55-toilet) (0.43-tv) (0.34-laptop) (0.83-mouse) (0.15-remote) (0.65-keyboard) (0.45-cell phone) (0.46-microwave) (0.29-oven) (0.07-toaster) (0.38-sink) (0.37-refrigerator) (0.25-book) (0.84-clock) (0.19-vase) (0.07-scissors) (0.67-teddy bear) (0.05-hair drier) (0.09-toothbrush)
2021-11-06 23:56:10,698 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-06 23:56:10,698 - mmdet - INFO - Iter [26000/40000]	lr: 2.000e-02, eta: 7:25:17, time: 1.689, data_time: 0.027, memory: 26488, bbox_mAP: 0.2410, bbox_mAP_50: 0.4170, bbox_mAP_75: 0.2530, bbox_mAP_s: 0.1190, bbox_mAP_m: 0.2620, bbox_mAP_l: 0.3230, bbox_mAP_copypaste: 0.241 0.417 0.253 0.119 0.262 0.323, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0333, loss_cls: 0.0731, acc: 97.1483, loss_bbox: 0.1508, loss_rpn_cls_unlabeled: 0.0812, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1575, acc_unlabeled: 91.8649, loss_bbox_unlabeled: 0.1783, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6598, pseudo_num_ig: 6.0642, pseudo_num_mining: 0.8142, pseudo_num(acc): 0.7696, pseudo_num ig(acc): 0.3887, loss: 0.9108
2021-11-06 23:57:35,186 - mmdet - INFO - Iter [26050/40000]	lr: 2.000e-02, eta: 7:26:20, time: 7.830, data_time: 6.168, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0339, loss_cls: 0.0738, acc: 97.1217, loss_bbox: 0.1524, loss_rpn_cls_unlabeled: 0.0796, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1564, acc_unlabeled: 91.9427, loss_bbox_unlabeled: 0.1760, losses_cls_ig_unlabeled: 0.1319, pseudo_num: 1.6598, pseudo_num_ig: 6.0640, pseudo_num_mining: 0.8147, pseudo_num(acc): 0.7697, pseudo_num ig(acc): 0.3887, loss: 0.9069
2021-11-06 23:59:00,413 - mmdet - INFO - Iter [26100/40000]	lr: 2.000e-02, eta: 7:24:39, time: 1.706, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0335, loss_cls: 0.0746, acc: 97.1069, loss_bbox: 0.1510, loss_rpn_cls_unlabeled: 0.0773, loss_rpn_bbox_unlabeled: 0.0919, loss_cls_unlabeled: 0.1529, acc_unlabeled: 91.9181, loss_bbox_unlabeled: 0.1686, losses_cls_ig_unlabeled: 0.1362, pseudo_num: 1.6596, pseudo_num_ig: 6.0635, pseudo_num_mining: 0.8151, pseudo_num(acc): 0.7698, pseudo_num ig(acc): 0.3887, loss: 0.8967
2021-11-07 00:00:26,282 - mmdet - INFO - Iter [26150/40000]	lr: 2.000e-02, eta: 7:22:57, time: 1.716, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0350, loss_cls: 0.0789, acc: 96.9042, loss_bbox: 0.1564, loss_rpn_cls_unlabeled: 0.0774, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1585, acc_unlabeled: 91.8656, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1388, pseudo_num: 1.6594, pseudo_num_ig: 6.0632, pseudo_num_mining: 0.8155, pseudo_num(acc): 0.7699, pseudo_num ig(acc): 0.3887, loss: 0.9191
2021-11-07 00:01:52,016 - mmdet - INFO - Iter [26200/40000]	lr: 2.000e-02, eta: 7:21:16, time: 1.717, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0326, loss_cls: 0.0756, acc: 97.0571, loss_bbox: 0.1539, loss_rpn_cls_unlabeled: 0.0843, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1576, acc_unlabeled: 91.9136, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1433, pseudo_num: 1.6592, pseudo_num_ig: 6.0629, pseudo_num_mining: 0.8159, pseudo_num(acc): 0.7700, pseudo_num ig(acc): 0.3887, loss: 0.9265
2021-11-07 00:03:17,310 - mmdet - INFO - Iter [26250/40000]	lr: 2.000e-02, eta: 7:19:35, time: 1.704, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0330, loss_cls: 0.0737, acc: 97.1277, loss_bbox: 0.1526, loss_rpn_cls_unlabeled: 0.0842, loss_rpn_bbox_unlabeled: 0.0966, loss_cls_unlabeled: 0.1576, acc_unlabeled: 91.9979, loss_bbox_unlabeled: 0.1799, losses_cls_ig_unlabeled: 0.1349, pseudo_num: 1.6591, pseudo_num_ig: 6.0628, pseudo_num_mining: 0.8164, pseudo_num(acc): 0.7701, pseudo_num ig(acc): 0.3888, loss: 0.9232
2021-11-07 00:04:41,767 - mmdet - INFO - Iter [26300/40000]	lr: 2.000e-02, eta: 7:17:53, time: 1.688, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0332, loss_cls: 0.0755, acc: 97.0374, loss_bbox: 0.1542, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1561, acc_unlabeled: 91.8456, loss_bbox_unlabeled: 0.1746, losses_cls_ig_unlabeled: 0.1338, pseudo_num: 1.6590, pseudo_num_ig: 6.0623, pseudo_num_mining: 0.8168, pseudo_num(acc): 0.7702, pseudo_num ig(acc): 0.3888, loss: 0.9149
2021-11-07 00:06:06,594 - mmdet - INFO - Iter [26350/40000]	lr: 2.000e-02, eta: 7:16:11, time: 1.698, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0343, loss_cls: 0.0736, acc: 97.1338, loss_bbox: 0.1529, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0967, loss_cls_unlabeled: 0.1619, acc_unlabeled: 91.9969, loss_bbox_unlabeled: 0.1733, losses_cls_ig_unlabeled: 0.1333, pseudo_num: 1.6589, pseudo_num_ig: 6.0619, pseudo_num_mining: 0.8173, pseudo_num(acc): 0.7703, pseudo_num ig(acc): 0.3888, loss: 0.9213
2021-11-07 00:07:30,953 - mmdet - INFO - Iter [26400/40000]	lr: 2.000e-02, eta: 7:14:29, time: 1.688, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0349, loss_cls: 0.0760, acc: 97.0370, loss_bbox: 0.1527, loss_rpn_cls_unlabeled: 0.0820, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1590, acc_unlabeled: 91.8369, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1382, pseudo_num: 1.6587, pseudo_num_ig: 6.0613, pseudo_num_mining: 0.8176, pseudo_num(acc): 0.7704, pseudo_num ig(acc): 0.3888, loss: 0.9213
2021-11-07 00:08:56,597 - mmdet - INFO - Iter [26450/40000]	lr: 2.000e-02, eta: 7:12:48, time: 1.713, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0351, loss_cls: 0.0749, acc: 97.0454, loss_bbox: 0.1542, loss_rpn_cls_unlabeled: 0.0812, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1553, acc_unlabeled: 91.9197, loss_bbox_unlabeled: 0.1707, losses_cls_ig_unlabeled: 0.1364, pseudo_num: 1.6586, pseudo_num_ig: 6.0610, pseudo_num_mining: 0.8180, pseudo_num(acc): 0.7705, pseudo_num ig(acc): 0.3888, loss: 0.9100
2021-11-07 00:10:21,507 - mmdet - INFO - pseudo pos: 0.98(51357.0-person) 0.87(1416.0-bicycle) 0.92(7566.0-car) 0.98(1542.0-motorcycle) 0.99(678.0-airplane) 0.99(1059.0-bus) 0.98(1049.0-train) 0.69(1840.0-truck) 0.65(2140.0-boat) 0.87(2747.0-traffic light) 0.99(368.0-fire hydrant) 0.96(396.0-stop sign) 0.76(338.0-parking meter) 0.64(1785.0-bench) 0.92(1511.0-bird) 0.96(936.0-cat) 0.95(934.0-dog) 0.96(1284.0-horse) 0.96(987.0-sheep) 0.84(1966.0-cow) 0.99(767.0-elephant) 0.99(269.0-bear) 0.99(1365.0-zebra) 0.99(1356.0-giraffe) 0.43(1651.0-backpack) 0.80(2142.0-umbrella) 0.43(2555.0-handbag) 0.86(1193.0-tie) 0.68(1387.0-suitcase) 0.91(508.0-frisbee) 0.58(1262.0-skis) 0.23(883.0-snowboard) 0.95(1094.0-sports ball) 0.74(1877.0-kite) 0.82(608.0-baseball bat) 0.81(796.0-baseball glove) 0.96(1008.0-skateboard) 0.85(1094.0-surfboard) 0.95(615.0-tennis racket) 0.83(4179.0-bottle) 0.92(1199.0-wine glass) 0.80(4503.0-cup) 0.44(714.0-fork) 0.33(1771.0-knife) 0.29(1315.0-spoon) 0.71(3982.0-bowl) 0.61(1848.0-banana) 0.33(1759.0-apple) 0.42(1748.0-sandwich) 0.43(929.0-orange) 0.66(1216.0-broccoli) 0.41(1551.0-carrot) 0.03(6735.0-hot dog) 0.95(1158.0-pizza) 0.71(1645.0-donut) 0.53(1244.0-cake) 0.62(9160.0-chair) 0.77(1121.0-couch) 0.64(1890.0-potted plant) 0.91(862.0-bed) 0.68(3933.0-dining table) 0.93(721.0-toilet) 0.95(1240.0-tv) 0.97(893.0-laptop) 0.96(275.0-mouse) 0.61(920.0-remote) 0.74(557.0-keyboard) 0.66(1445.0-cell phone) 0.96(368.0-microwave) 0.78(863.0-oven) 0.18(44.0-toaster) 0.78(1172.0-sink) 0.91(528.0-refrigerator) 0.23(4550.0-book) 0.96(1035.0-clock) 0.87(1074.0-vase) 0.54(322.0-scissors) 0.93(515.0-teddy bear) 0.00(0.0-hair drier) 0.21(547.0-toothbrush)
2021-11-07 00:10:21,508 - mmdet - INFO - pseudo ig: 0.56(190674.0-person) 0.30(5455.0-bicycle) 0.45(30790.0-car) 0.49(5875.0-motorcycle) 0.72(2289.0-airplane) 0.60(4096.0-bus) 0.52(3455.0-train) 0.30(7053.0-truck) 0.28(8294.0-boat) 0.29(11079.0-traffic light) 0.56(1361.0-fire hydrant) 0.50(1583.0-stop sign) 0.21(1048.0-parking meter) 0.18(6814.0-bench) 0.32(5207.0-bird) 0.69(3318.0-cat) 0.62(3221.0-dog) 0.51(4869.0-horse) 0.70(3862.0-sheep) 0.33(7953.0-cow) 0.80(3232.0-elephant) 0.61(992.0-bear) 0.51(5206.0-zebra) 0.65(4266.0-giraffe) 0.18(6437.0-backpack) 0.33(8406.0-umbrella) 0.13(10456.0-handbag) 0.29(4812.0-tie) 0.21(5279.0-suitcase) 0.42(2075.0-frisbee) 0.28(4881.0-skis) 0.17(1770.0-snowboard) 0.34(4710.0-sports ball) 0.32(7274.0-kite) 0.26(2530.0-baseball bat) 0.27(3270.0-baseball glove) 0.43(3715.0-skateboard) 0.37(4176.0-surfboard) 0.68(2567.0-tennis racket) 0.33(17880.0-bottle) 0.37(4973.0-wine glass) 0.28(18317.0-cup) 0.22(2830.0-fork) 0.12(7001.0-knife) 0.10(5562.0-spoon) 0.26(15667.0-bowl) 0.21(7681.0-banana) 0.14(5934.0-apple) 0.21(3735.0-sandwich) 0.28(2426.0-orange) 0.33(5138.0-broccoli) 0.15(6271.0-carrot) 0.14(1121.0-hot dog) 0.47(4238.0-pizza) 0.26(5808.0-donut) 0.22(4539.0-cake) 0.20(36251.0-chair) 0.33(4125.0-couch) 0.27(7379.0-potted plant) 0.43(3096.0-bed) 0.30(12048.0-dining table) 0.59(3089.0-toilet) 0.48(4263.0-tv) 0.53(3177.0-laptop) 0.59(998.0-mouse) 0.21(3809.0-remote) 0.46(2085.0-keyboard) 0.21(5504.0-cell phone) 0.35(1338.0-microwave) 0.24(3121.0-oven) 0.14(90.0-toaster) 0.37(4245.0-sink) 0.33(1871.0-refrigerator) 0.11(18243.0-book) 0.58(4057.0-clock) 0.35(4220.0-vase) 0.20(1222.0-scissors) 0.62(2048.0-teddy bear) 0.00(0.0-hair drier) 0.05(1872.0-toothbrush)
2021-11-07 00:10:21,508 - mmdet - INFO - pseudo gt: 231487.0 6249.0 38793.0 8062.0 4662.0 5614.0 4052.0 8892.0 9396.0 11245.0 1675.0 1826.0 1108.0 8956.0 9207.0 4239.0 4911.0 6128.0 8685.0 7345.0 5156.0 1164.0 4775.0 4782.0 8037.0 9894.0 11335.0 5686.0 5640.0 2411.0 5835.0 2347.0 5892.0 7867.0 2962.0 3274.0 4970.0 5314.0 4343.0 21337.0 7018.0 18424.0 4909.0 6958.0 5450.0 12724.0 8207.0 5308.0 3709.0 5397.0 6254.0 7050.0 2627.0 5406.0 5788.0 5499.0 34247.0 5180.0 7669.0 3753.0 14040.0 3692.0 5347.0 4584.0 2078.0 5225.0 2521.0 5833.0 1393.0 2871.0 195.0 4911.0 2295.0 21994.0 5566.0 5672.0 1318.0 4089.0 176.0 1798.0
2021-11-07 00:10:21,508 - mmdet - INFO - pseudo mining: 41414.0 143.0 5513.0 531.0 525.0 824.0 477.0 218.0 416.0 1329.0 436.0 966.0 12.0 35.0 236.0 744.0 385.0 763.0 1696.0 479.0 1476.0 287.0 1277.0 1505.0 69.0 738.0 50.0 211.0 54.0 482.0 104.0 24.0 1325.0 1668.0 328.0 533.0 415.0 227.0 1235.0 1527.0 271.0 1451.0 15.0 62.0 30.0 1298.0 194.0 173.0 93.0 571.0 608.0 241.0 1.0 501.0 728.0 117.0 179.0 98.0 521.0 89.0 281.0 1204.0 1153.0 566.0 429.0 83.0 479.0 324.0 169.0 85.0 2.0 708.0 82.0 208.0 2365.0 129.0 5.0 573.0 0.0 0.0
2021-11-07 00:10:22,943 - mmdet - INFO - Iter [26500/40000]	lr: 2.000e-02, eta: 7:11:08, time: 1.726, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0331, loss_cls: 0.0727, acc: 97.1874, loss_bbox: 0.1497, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1528, acc_unlabeled: 91.9855, loss_bbox_unlabeled: 0.1693, losses_cls_ig_unlabeled: 0.1396, pseudo_num: 1.6584, pseudo_num_ig: 6.0605, pseudo_num_mining: 0.8183, pseudo_num(acc): 0.7706, pseudo_num ig(acc): 0.3888, loss: 0.9000
2021-11-07 00:11:46,981 - mmdet - INFO - Iter [26550/40000]	lr: 2.000e-02, eta: 7:09:26, time: 1.682, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0322, loss_cls: 0.0709, acc: 97.2039, loss_bbox: 0.1459, loss_rpn_cls_unlabeled: 0.0835, loss_rpn_bbox_unlabeled: 0.0914, loss_cls_unlabeled: 0.1543, acc_unlabeled: 91.9386, loss_bbox_unlabeled: 0.1733, losses_cls_ig_unlabeled: 0.1356, pseudo_num: 1.6581, pseudo_num_ig: 6.0598, pseudo_num_mining: 0.8187, pseudo_num(acc): 0.7708, pseudo_num ig(acc): 0.3889, loss: 0.8969
2021-11-07 00:13:11,649 - mmdet - INFO - Iter [26600/40000]	lr: 2.000e-02, eta: 7:07:44, time: 1.692, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0328, loss_cls: 0.0737, acc: 97.1176, loss_bbox: 0.1526, loss_rpn_cls_unlabeled: 0.0784, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1562, acc_unlabeled: 91.9154, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.1340, pseudo_num: 1.6580, pseudo_num_ig: 6.0596, pseudo_num_mining: 0.8192, pseudo_num(acc): 0.7709, pseudo_num ig(acc): 0.3889, loss: 0.9076
2021-11-07 00:14:35,380 - mmdet - INFO - Iter [26650/40000]	lr: 2.000e-02, eta: 7:06:03, time: 1.673, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0345, loss_cls: 0.0755, acc: 97.0061, loss_bbox: 0.1562, loss_rpn_cls_unlabeled: 0.0806, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1555, acc_unlabeled: 91.9126, loss_bbox_unlabeled: 0.1741, losses_cls_ig_unlabeled: 0.1375, pseudo_num: 1.6578, pseudo_num_ig: 6.0593, pseudo_num_mining: 0.8197, pseudo_num(acc): 0.7710, pseudo_num ig(acc): 0.3889, loss: 0.9175
2021-11-07 00:15:59,814 - mmdet - INFO - Iter [26700/40000]	lr: 2.000e-02, eta: 7:04:21, time: 1.689, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0336, loss_cls: 0.0743, acc: 97.0966, loss_bbox: 0.1500, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1609, acc_unlabeled: 91.8695, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1416, pseudo_num: 1.6577, pseudo_num_ig: 6.0589, pseudo_num_mining: 0.8200, pseudo_num(acc): 0.7711, pseudo_num ig(acc): 0.3889, loss: 0.9173
2021-11-07 00:17:25,405 - mmdet - INFO - Iter [26750/40000]	lr: 2.000e-02, eta: 7:02:41, time: 1.713, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0336, loss_cls: 0.0741, acc: 97.1112, loss_bbox: 0.1518, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1543, acc_unlabeled: 91.9229, loss_bbox_unlabeled: 0.1705, losses_cls_ig_unlabeled: 0.1353, pseudo_num: 1.6575, pseudo_num_ig: 6.0587, pseudo_num_mining: 0.8204, pseudo_num(acc): 0.7712, pseudo_num ig(acc): 0.3889, loss: 0.9067
2021-11-07 00:18:51,454 - mmdet - INFO - Iter [26800/40000]	lr: 2.000e-02, eta: 7:01:00, time: 1.719, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0326, loss_cls: 0.0706, acc: 97.2384, loss_bbox: 0.1458, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1506, acc_unlabeled: 91.9603, loss_bbox_unlabeled: 0.1672, losses_cls_ig_unlabeled: 0.1360, pseudo_num: 1.6574, pseudo_num_ig: 6.0582, pseudo_num_mining: 0.8208, pseudo_num(acc): 0.7712, pseudo_num ig(acc): 0.3889, loss: 0.8904
2021-11-07 00:20:17,407 - mmdet - INFO - Iter [26850/40000]	lr: 2.000e-02, eta: 6:59:20, time: 1.722, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0334, loss_cls: 0.0752, acc: 97.0771, loss_bbox: 0.1543, loss_rpn_cls_unlabeled: 0.0879, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1615, acc_unlabeled: 91.6636, loss_bbox_unlabeled: 0.1809, losses_cls_ig_unlabeled: 0.1384, pseudo_num: 1.6573, pseudo_num_ig: 6.0582, pseudo_num_mining: 0.8212, pseudo_num(acc): 0.7714, pseudo_num ig(acc): 0.3889, loss: 0.9381
2021-11-07 00:21:43,694 - mmdet - INFO - Iter [26900/40000]	lr: 2.000e-02, eta: 6:57:39, time: 1.722, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0330, loss_cls: 0.0734, acc: 97.1027, loss_bbox: 0.1499, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1644, acc_unlabeled: 91.7566, loss_bbox_unlabeled: 0.1837, losses_cls_ig_unlabeled: 0.1391, pseudo_num: 1.6574, pseudo_num_ig: 6.0583, pseudo_num_mining: 0.8217, pseudo_num(acc): 0.7715, pseudo_num ig(acc): 0.3890, loss: 0.9323
2021-11-07 00:23:07,913 - mmdet - INFO - Iter [26950/40000]	lr: 2.000e-02, eta: 6:55:58, time: 1.688, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0328, loss_cls: 0.0732, acc: 97.1298, loss_bbox: 0.1518, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0960, loss_cls_unlabeled: 0.1649, acc_unlabeled: 91.7313, loss_bbox_unlabeled: 0.1833, losses_cls_ig_unlabeled: 0.1394, pseudo_num: 1.6574, pseudo_num_ig: 6.0581, pseudo_num_mining: 0.8222, pseudo_num(acc): 0.7716, pseudo_num ig(acc): 0.3890, loss: 0.9362
2021-11-07 00:24:31,697 - mmdet - INFO - pseudo pos: 0.98(52390.0-person) 0.87(1448.0-bicycle) 0.92(7733.0-car) 0.98(1567.0-motorcycle) 0.99(696.0-airplane) 0.99(1074.0-bus) 0.98(1065.0-train) 0.70(1875.0-truck) 0.66(2173.0-boat) 0.87(2817.0-traffic light) 0.99(372.0-fire hydrant) 0.96(401.0-stop sign) 0.75(346.0-parking meter) 0.64(1826.0-bench) 0.92(1534.0-bird) 0.96(959.0-cat) 0.95(947.0-dog) 0.97(1313.0-horse) 0.96(1000.0-sheep) 0.85(1986.0-cow) 0.99(783.0-elephant) 0.99(280.0-bear) 0.99(1383.0-zebra) 0.99(1395.0-giraffe) 0.43(1684.0-backpack) 0.80(2179.0-umbrella) 0.43(2612.0-handbag) 0.86(1223.0-tie) 0.68(1417.0-suitcase) 0.91(518.0-frisbee) 0.58(1291.0-skis) 0.23(884.0-snowboard) 0.95(1108.0-sports ball) 0.75(1914.0-kite) 0.82(616.0-baseball bat) 0.81(816.0-baseball glove) 0.96(1031.0-skateboard) 0.85(1122.0-surfboard) 0.95(632.0-tennis racket) 0.83(4267.0-bottle) 0.92(1227.0-wine glass) 0.80(4616.0-cup) 0.44(728.0-fork) 0.33(1803.0-knife) 0.29(1342.0-spoon) 0.71(4080.0-bowl) 0.61(1894.0-banana) 0.34(1773.0-apple) 0.42(1759.0-sandwich) 0.44(940.0-orange) 0.66(1236.0-broccoli) 0.41(1571.0-carrot) 0.03(6735.0-hot dog) 0.95(1169.0-pizza) 0.71(1670.0-donut) 0.53(1268.0-cake) 0.62(9298.0-chair) 0.77(1137.0-couch) 0.64(1919.0-potted plant) 0.91(884.0-bed) 0.68(4002.0-dining table) 0.93(739.0-toilet) 0.95(1265.0-tv) 0.97(906.0-laptop) 0.96(276.0-mouse) 0.61(948.0-remote) 0.74(570.0-keyboard) 0.66(1477.0-cell phone) 0.96(376.0-microwave) 0.77(882.0-oven) 0.18(44.0-toaster) 0.78(1197.0-sink) 0.92(540.0-refrigerator) 0.23(4646.0-book) 0.96(1060.0-clock) 0.88(1103.0-vase) 0.54(330.0-scissors) 0.93(530.0-teddy bear) 0.00(0.0-hair drier) 0.21(559.0-toothbrush)
2021-11-07 00:24:31,697 - mmdet - INFO - pseudo ig: 0.56(194403.0-person) 0.30(5563.0-bicycle) 0.46(31341.0-car) 0.49(5979.0-motorcycle) 0.72(2335.0-airplane) 0.60(4165.0-bus) 0.52(3515.0-train) 0.30(7194.0-truck) 0.28(8420.0-boat) 0.29(11267.0-traffic light) 0.56(1389.0-fire hydrant) 0.50(1608.0-stop sign) 0.21(1068.0-parking meter) 0.18(6931.0-bench) 0.32(5328.0-bird) 0.70(3355.0-cat) 0.63(3273.0-dog) 0.52(4965.0-horse) 0.71(3949.0-sheep) 0.33(8091.0-cow) 0.80(3303.0-elephant) 0.61(1018.0-bear) 0.51(5303.0-zebra) 0.65(4350.0-giraffe) 0.18(6553.0-backpack) 0.33(8518.0-umbrella) 0.13(10650.0-handbag) 0.29(4902.0-tie) 0.21(5404.0-suitcase) 0.42(2114.0-frisbee) 0.27(4973.0-skis) 0.17(1790.0-snowboard) 0.34(4782.0-sports ball) 0.32(7435.0-kite) 0.27(2579.0-baseball bat) 0.27(3339.0-baseball glove) 0.43(3776.0-skateboard) 0.37(4248.0-surfboard) 0.68(2600.0-tennis racket) 0.33(18239.0-bottle) 0.37(5076.0-wine glass) 0.28(18649.0-cup) 0.23(2868.0-fork) 0.12(7129.0-knife) 0.10(5658.0-spoon) 0.26(15926.0-bowl) 0.21(7814.0-banana) 0.14(5997.0-apple) 0.22(3797.0-sandwich) 0.28(2454.0-orange) 0.33(5223.0-broccoli) 0.15(6385.0-carrot) 0.14(1125.0-hot dog) 0.47(4315.0-pizza) 0.26(5883.0-donut) 0.22(4605.0-cake) 0.20(36872.0-chair) 0.33(4203.0-couch) 0.28(7497.0-potted plant) 0.43(3159.0-bed) 0.30(12256.0-dining table) 0.58(3160.0-toilet) 0.49(4370.0-tv) 0.54(3244.0-laptop) 0.59(1018.0-mouse) 0.21(3895.0-remote) 0.46(2131.0-keyboard) 0.21(5620.0-cell phone) 0.35(1375.0-microwave) 0.24(3197.0-oven) 0.15(92.0-toaster) 0.37(4334.0-sink) 0.33(1907.0-refrigerator) 0.11(18618.0-book) 0.58(4118.0-clock) 0.35(4308.0-vase) 0.20(1250.0-scissors) 0.62(2108.0-teddy bear) 0.00(0.0-hair drier) 0.05(1917.0-toothbrush)
2021-11-07 00:24:31,697 - mmdet - INFO - pseudo gt: 236043.0 6358.0 39615.0 8206.0 4776.0 5709.0 4131.0 9076.0 9574.0 11515.0 1717.0 1854.0 1138.0 9125.0 9392.0 4313.0 4983.0 6250.0 8908.0 7475.0 5247.0 1196.0 4854.0 4879.0 8157.0 10050.0 11542.0 5819.0 5746.0 2461.0 5928.0 2393.0 6007.0 8062.0 3021.0 3338.0 5056.0 5396.0 4408.0 21763.0 7155.0 18832.0 5007.0 7076.0 5560.0 12944.0 8376.0 5372.0 3824.0 5499.0 6344.0 7206.0 2712.0 5492.0 5882.0 5627.0 34894.0 5290.0 7873.0 3844.0 14292.0 3775.0 5477.0 4676.0 2128.0 5359.0 2579.0 5931.0 1421.0 2926.0 197.0 5011.0 2363.0 22378.0 5672.0 5775.0 1357.0 4216.0 179.0 1829.0
2021-11-07 00:24:31,698 - mmdet - INFO - pseudo mining: 42303.0 143.0 5644.0 548.0 547.0 848.0 488.0 230.0 428.0 1366.0 453.0 985.0 12.0 35.0 249.0 756.0 394.0 784.0 1752.0 498.0 1514.0 296.0 1312.0 1539.0 70.0 745.0 52.0 216.0 56.0 494.0 108.0 24.0 1357.0 1714.0 335.0 549.0 424.0 230.0 1258.0 1576.0 283.0 1507.0 15.0 66.0 30.0 1329.0 202.0 179.0 97.0 577.0 619.0 245.0 1.0 525.0 758.0 119.0 188.0 104.0 541.0 94.0 287.0 1240.0 1192.0 582.0 445.0 84.0 500.0 338.0 176.0 88.0 2.0 728.0 87.0 213.0 2415.0 134.0 5.0 604.0 0.0 0.0
2021-11-07 00:25:56,521 - mmdet - INFO - current percent: 0.2
2021-11-07 00:25:56,521 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.97-parking meter) (0.98-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (0.99-umbrella) (0.93-handbag) (0.99-tie) (0.98-suitcase) (1.00-frisbee) (0.97-skis) (0.84-snowboard) (1.00-sports ball) (0.99-kite) (1.00-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.94-fork) (0.93-knife) (0.93-spoon) (0.99-bowl) (0.97-banana) (0.94-apple) (0.98-sandwich) (0.99-orange) (0.99-broccoli) (0.95-carrot) (0.80-hot dog) (1.00-pizza) (0.99-donut) (0.97-cake) (0.93-chair) (0.99-couch) (0.98-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.95-remote) (1.00-keyboard) (0.99-cell phone) (0.99-microwave) (0.99-oven) (0.13-toaster) (0.99-sink) (1.00-refrigerator) (0.95-book) (1.00-clock) (0.97-vase) (0.90-scissors) (1.00-teddy bear) (0.05-hair drier) (0.77-toothbrush)
2021-11-07 00:25:56,521 - mmdet - INFO - update score thr (ignore): (0.14-person) (0.13-bicycle) (0.29-car) (0.21-motorcycle) (0.72-airplane) (0.36-bus) (0.39-train) (0.30-truck) (0.27-boat) (0.31-traffic light) (0.49-fire hydrant) (0.74-stop sign) (0.07-parking meter) (0.30-bench) (0.10-bird) (0.54-cat) (0.37-dog) (0.25-horse) (0.63-sheep) (0.34-cow) (0.47-elephant) (0.49-bear) (0.05-zebra) (0.07-giraffe) (0.35-backpack) (0.15-umbrella) (0.25-handbag) (0.22-tie) (0.20-suitcase) (0.63-frisbee) (0.20-skis) (0.22-snowboard) (0.37-sports ball) (0.40-kite) (0.61-baseball bat) (0.55-baseball glove) (0.23-skateboard) (0.30-surfboard) (0.53-tennis racket) (0.32-bottle) (0.06-wine glass) (0.19-cup) (0.08-fork) (0.26-knife) (0.18-spoon) (0.38-bowl) (0.19-banana) (0.24-apple) (0.35-sandwich) (0.48-orange) (0.48-broccoli) (0.48-carrot) (0.26-hot dog) (0.38-pizza) (0.68-donut) (0.23-cake) (0.11-chair) (0.38-couch) (0.20-potted plant) (0.35-bed) (0.26-dining table) (0.75-toilet) (0.44-tv) (0.21-laptop) (0.55-mouse) (0.23-remote) (0.54-keyboard) (0.44-cell phone) (0.45-microwave) (0.38-oven) (0.05-toaster) (0.39-sink) (0.35-refrigerator) (0.26-book) (0.54-clock) (0.16-vase) (0.10-scissors) (0.61-teddy bear) (0.05-hair drier) (0.13-toothbrush)
2021-11-07 00:25:56,798 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 00:25:56,799 - mmdet - INFO - Iter [27000/40000]	lr: 2.000e-02, eta: 6:54:18, time: 1.708, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0343, loss_cls: 0.0745, acc: 97.1091, loss_bbox: 0.1489, loss_rpn_cls_unlabeled: 0.0880, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1627, acc_unlabeled: 91.8472, loss_bbox_unlabeled: 0.1791, losses_cls_ig_unlabeled: 0.1378, pseudo_num: 1.6573, pseudo_num_ig: 6.0581, pseudo_num_mining: 0.8227, pseudo_num(acc): 0.7717, pseudo_num ig(acc): 0.3890, loss: 0.9321
2021-11-07 00:27:20,569 - mmdet - INFO - Iter [27050/40000]	lr: 2.000e-02, eta: 6:53:16, time: 3.343, data_time: 1.697, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0334, loss_cls: 0.0762, acc: 97.0334, loss_bbox: 0.1514, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1531, acc_unlabeled: 92.0461, loss_bbox_unlabeled: 0.1708, losses_cls_ig_unlabeled: 0.1354, pseudo_num: 1.6571, pseudo_num_ig: 6.0580, pseudo_num_mining: 0.8233, pseudo_num(acc): 0.7718, pseudo_num ig(acc): 0.3890, loss: 0.9051
2021-11-07 00:28:46,178 - mmdet - INFO - Iter [27100/40000]	lr: 2.000e-02, eta: 6:51:36, time: 1.711, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0342, loss_cls: 0.0755, acc: 97.0533, loss_bbox: 0.1513, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1611, acc_unlabeled: 91.5796, loss_bbox_unlabeled: 0.1776, losses_cls_ig_unlabeled: 0.1423, pseudo_num: 1.6569, pseudo_num_ig: 6.0580, pseudo_num_mining: 0.8238, pseudo_num(acc): 0.7719, pseudo_num ig(acc): 0.3891, loss: 0.9330
2021-11-07 00:30:11,597 - mmdet - INFO - Iter [27150/40000]	lr: 2.000e-02, eta: 6:49:55, time: 1.709, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0338, loss_cls: 0.0743, acc: 97.0951, loss_bbox: 0.1520, loss_rpn_cls_unlabeled: 0.0904, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1624, acc_unlabeled: 91.6896, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1402, pseudo_num: 1.6567, pseudo_num_ig: 6.0583, pseudo_num_mining: 0.8244, pseudo_num(acc): 0.7719, pseudo_num ig(acc): 0.3891, loss: 0.9348
2021-11-07 00:31:35,375 - mmdet - INFO - Iter [27200/40000]	lr: 2.000e-02, eta: 6:48:14, time: 1.675, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0330, loss_cls: 0.0721, acc: 97.1757, loss_bbox: 0.1459, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.1001, loss_cls_unlabeled: 0.1634, acc_unlabeled: 91.7113, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1370, pseudo_num: 1.6567, pseudo_num_ig: 6.0585, pseudo_num_mining: 0.8249, pseudo_num(acc): 0.7720, pseudo_num ig(acc): 0.3891, loss: 0.9240
2021-11-07 00:33:00,302 - mmdet - INFO - Iter [27250/40000]	lr: 2.000e-02, eta: 6:46:33, time: 1.695, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0350, loss_cls: 0.0773, acc: 96.9906, loss_bbox: 0.1551, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1569, acc_unlabeled: 91.7438, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1404, pseudo_num: 1.6565, pseudo_num_ig: 6.0585, pseudo_num_mining: 0.8254, pseudo_num(acc): 0.7721, pseudo_num ig(acc): 0.3892, loss: 0.9248
2021-11-07 00:34:24,374 - mmdet - INFO - Iter [27300/40000]	lr: 2.000e-02, eta: 6:44:52, time: 1.687, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0340, loss_cls: 0.0752, acc: 97.0640, loss_bbox: 0.1542, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0963, loss_cls_unlabeled: 0.1602, acc_unlabeled: 91.6696, loss_bbox_unlabeled: 0.1781, losses_cls_ig_unlabeled: 0.1367, pseudo_num: 1.6564, pseudo_num_ig: 6.0587, pseudo_num_mining: 0.8259, pseudo_num(acc): 0.7721, pseudo_num ig(acc): 0.3892, loss: 0.9279
2021-11-07 00:35:49,807 - mmdet - INFO - Iter [27350/40000]	lr: 2.000e-02, eta: 6:43:12, time: 1.709, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0337, loss_cls: 0.0719, acc: 97.1666, loss_bbox: 0.1489, loss_rpn_cls_unlabeled: 0.0831, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1540, acc_unlabeled: 91.8199, loss_bbox_unlabeled: 0.1740, losses_cls_ig_unlabeled: 0.1378, pseudo_num: 1.6563, pseudo_num_ig: 6.0588, pseudo_num_mining: 0.8264, pseudo_num(acc): 0.7722, pseudo_num ig(acc): 0.3892, loss: 0.9074
2021-11-07 00:37:15,064 - mmdet - INFO - Iter [27400/40000]	lr: 2.000e-02, eta: 6:41:31, time: 1.705, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0355, loss_cls: 0.0764, acc: 97.0165, loss_bbox: 0.1571, loss_rpn_cls_unlabeled: 0.0823, loss_rpn_bbox_unlabeled: 0.0981, loss_cls_unlabeled: 0.1573, acc_unlabeled: 91.6274, loss_bbox_unlabeled: 0.1734, losses_cls_ig_unlabeled: 0.1420, pseudo_num: 1.6560, pseudo_num_ig: 6.0588, pseudo_num_mining: 0.8268, pseudo_num(acc): 0.7723, pseudo_num ig(acc): 0.3892, loss: 0.9339
2021-11-07 00:38:39,929 - mmdet - INFO - Iter [27450/40000]	lr: 2.000e-02, eta: 6:39:51, time: 1.696, data_time: 0.024, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0340, loss_cls: 0.0730, acc: 97.1630, loss_bbox: 0.1498, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1546, acc_unlabeled: 91.9852, loss_bbox_unlabeled: 0.1772, losses_cls_ig_unlabeled: 0.1306, pseudo_num: 1.6560, pseudo_num_ig: 6.0590, pseudo_num_mining: 0.8274, pseudo_num(acc): 0.7724, pseudo_num ig(acc): 0.3892, loss: 0.9041
2021-11-07 00:40:04,107 - mmdet - INFO - pseudo pos: 0.98(53364.0-person) 0.87(1484.0-bicycle) 0.92(7872.0-car) 0.98(1591.0-motorcycle) 0.99(711.0-airplane) 0.99(1096.0-bus) 0.98(1092.0-train) 0.69(1908.0-truck) 0.66(2211.0-boat) 0.87(2845.0-traffic light) 0.99(377.0-fire hydrant) 0.96(407.0-stop sign) 0.75(350.0-parking meter) 0.64(1855.0-bench) 0.92(1552.0-bird) 0.96(974.0-cat) 0.95(964.0-dog) 0.97(1341.0-horse) 0.96(1018.0-sheep) 0.85(2018.0-cow) 0.99(807.0-elephant) 0.99(284.0-bear) 0.99(1415.0-zebra) 0.99(1414.0-giraffe) 0.43(1725.0-backpack) 0.80(2210.0-umbrella) 0.43(2649.0-handbag) 0.86(1236.0-tie) 0.68(1442.0-suitcase) 0.91(529.0-frisbee) 0.58(1311.0-skis) 0.23(890.0-snowboard) 0.95(1129.0-sports ball) 0.75(1963.0-kite) 0.82(628.0-baseball bat) 0.81(826.0-baseball glove) 0.96(1052.0-skateboard) 0.86(1144.0-surfboard) 0.95(648.0-tennis racket) 0.83(4351.0-bottle) 0.92(1265.0-wine glass) 0.80(4705.0-cup) 0.44(734.0-fork) 0.32(1843.0-knife) 0.28(1363.0-spoon) 0.71(4144.0-bowl) 0.61(1927.0-banana) 0.34(1828.0-apple) 0.43(1774.0-sandwich) 0.44(947.0-orange) 0.66(1254.0-broccoli) 0.41(1604.0-carrot) 0.03(6739.0-hot dog) 0.95(1184.0-pizza) 0.71(1701.0-donut) 0.53(1290.0-cake) 0.62(9485.0-chair) 0.78(1152.0-couch) 0.64(1949.0-potted plant) 0.91(902.0-bed) 0.68(4071.0-dining table) 0.93(750.0-toilet) 0.95(1296.0-tv) 0.97(924.0-laptop) 0.96(281.0-mouse) 0.61(960.0-remote) 0.74(580.0-keyboard) 0.66(1507.0-cell phone) 0.96(380.0-microwave) 0.77(899.0-oven) 0.18(45.0-toaster) 0.77(1214.0-sink) 0.92(545.0-refrigerator) 0.23(4727.0-book) 0.96(1077.0-clock) 0.88(1123.0-vase) 0.54(337.0-scissors) 0.93(534.0-teddy bear) 0.00(0.0-hair drier) 0.21(570.0-toothbrush)
2021-11-07 00:40:04,108 - mmdet - INFO - pseudo ig: 0.56(198456.0-person) 0.30(5720.0-bicycle) 0.46(31854.0-car) 0.49(6059.0-motorcycle) 0.72(2366.0-airplane) 0.60(4245.0-bus) 0.53(3585.0-train) 0.30(7334.0-truck) 0.28(8569.0-boat) 0.29(11400.0-traffic light) 0.56(1412.0-fire hydrant) 0.50(1639.0-stop sign) 0.21(1088.0-parking meter) 0.18(7035.0-bench) 0.32(5428.0-bird) 0.70(3417.0-cat) 0.62(3359.0-dog) 0.52(5049.0-horse) 0.71(3988.0-sheep) 0.34(8231.0-cow) 0.80(3363.0-elephant) 0.61(1042.0-bear) 0.51(5409.0-zebra) 0.65(4447.0-giraffe) 0.18(6719.0-backpack) 0.33(8709.0-umbrella) 0.13(10843.0-handbag) 0.29(4984.0-tie) 0.21(5519.0-suitcase) 0.42(2139.0-frisbee) 0.27(5069.0-skis) 0.17(1807.0-snowboard) 0.34(4866.0-sports ball) 0.32(7604.0-kite) 0.27(2615.0-baseball bat) 0.27(3386.0-baseball glove) 0.43(3840.0-skateboard) 0.37(4310.0-surfboard) 0.68(2637.0-tennis racket) 0.33(18596.0-bottle) 0.37(5183.0-wine glass) 0.28(19022.0-cup) 0.23(2902.0-fork) 0.12(7266.0-knife) 0.10(5769.0-spoon) 0.26(16213.0-bowl) 0.22(7910.0-banana) 0.14(6169.0-apple) 0.22(3826.0-sandwich) 0.29(2508.0-orange) 0.33(5310.0-broccoli) 0.15(6490.0-carrot) 0.14(1137.0-hot dog) 0.47(4390.0-pizza) 0.26(5975.0-donut) 0.22(4688.0-cake) 0.20(37664.0-chair) 0.33(4282.0-couch) 0.28(7651.0-potted plant) 0.43(3217.0-bed) 0.30(12497.0-dining table) 0.59(3218.0-toilet) 0.49(4462.0-tv) 0.54(3323.0-laptop) 0.59(1044.0-mouse) 0.21(3982.0-remote) 0.46(2166.0-keyboard) 0.21(5713.0-cell phone) 0.35(1399.0-microwave) 0.24(3259.0-oven) 0.15(95.0-toaster) 0.37(4415.0-sink) 0.33(1947.0-refrigerator) 0.11(18932.0-book) 0.59(4176.0-clock) 0.35(4395.0-vase) 0.20(1280.0-scissors) 0.62(2140.0-teddy bear) 0.00(0.0-hair drier) 0.06(1943.0-toothbrush)
2021-11-07 00:40:04,108 - mmdet - INFO - pseudo gt: 240739.0 6524.0 40245.0 8319.0 4848.0 5827.0 4223.0 9219.0 9744.0 11680.0 1746.0 1878.0 1162.0 9329.0 9554.0 4388.0 5077.0 6368.0 9028.0 7615.0 5330.0 1225.0 4947.0 4958.0 8331.0 10260.0 11772.0 5937.0 5844.0 2496.0 6047.0 2426.0 6120.0 8324.0 3073.0 3387.0 5147.0 5500.0 4481.0 22229.0 7283.0 19184.0 5084.0 7231.0 5659.0 13184.0 8509.0 5487.0 3902.0 5626.0 6429.0 7310.0 2745.0 5578.0 6037.0 5721.0 35619.0 5398.0 8055.0 3910.0 14566.0 3842.0 5573.0 4778.0 2182.0 5484.0 2635.0 6037.0 1443.0 2979.0 200.0 5101.0 2411.0 22753.0 5761.0 5870.0 1376.0 4270.0 179.0 1866.0
2021-11-07 00:40:04,108 - mmdet - INFO - pseudo mining: 43407.0 148.0 5749.0 562.0 563.0 874.0 509.0 235.0 435.0 1382.0 467.0 1009.0 12.0 36.0 258.0 777.0 411.0 805.0 1771.0 525.0 1540.0 308.0 1336.0 1569.0 74.0 765.0 57.0 232.0 60.0 505.0 115.0 24.0 1387.0 1779.0 345.0 564.0 435.0 236.0 1281.0 1623.0 286.0 1543.0 15.0 70.0 31.0 1369.0 211.0 190.0 99.0 585.0 638.0 248.0 1.0 546.0 793.0 122.0 192.0 108.0 554.0 99.0 294.0 1277.0 1219.0 602.0 457.0 90.0 518.0 345.0 182.0 94.0 2.0 751.0 92.0 218.0 2452.0 137.0 5.0 614.0 0.0 1.0
2021-11-07 00:40:05,685 - mmdet - INFO - Iter [27500/40000]	lr: 2.000e-02, eta: 6:38:11, time: 1.712, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0328, loss_cls: 0.0723, acc: 97.1516, loss_bbox: 0.1491, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1533, acc_unlabeled: 91.9321, loss_bbox_unlabeled: 0.1721, losses_cls_ig_unlabeled: 0.1364, pseudo_num: 1.6558, pseudo_num_ig: 6.0587, pseudo_num_mining: 0.8279, pseudo_num(acc): 0.7725, pseudo_num ig(acc): 0.3892, loss: 0.9059
2021-11-07 00:41:30,396 - mmdet - INFO - Iter [27550/40000]	lr: 2.000e-02, eta: 6:36:30, time: 1.696, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0321, loss_cls: 0.0714, acc: 97.2056, loss_bbox: 0.1491, loss_rpn_cls_unlabeled: 0.0794, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1537, acc_unlabeled: 91.9399, loss_bbox_unlabeled: 0.1690, losses_cls_ig_unlabeled: 0.1367, pseudo_num: 1.6555, pseudo_num_ig: 6.0582, pseudo_num_mining: 0.8282, pseudo_num(acc): 0.7726, pseudo_num ig(acc): 0.3893, loss: 0.8912
2021-11-07 00:42:55,773 - mmdet - INFO - Iter [27600/40000]	lr: 2.000e-02, eta: 6:34:50, time: 1.705, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0336, loss_cls: 0.0710, acc: 97.1831, loss_bbox: 0.1473, loss_rpn_cls_unlabeled: 0.0831, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1540, acc_unlabeled: 92.0989, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1326, pseudo_num: 1.6554, pseudo_num_ig: 6.0580, pseudo_num_mining: 0.8286, pseudo_num(acc): 0.7727, pseudo_num ig(acc): 0.3893, loss: 0.8935
2021-11-07 00:44:19,130 - mmdet - INFO - Iter [27650/40000]	lr: 2.000e-02, eta: 6:33:09, time: 1.666, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0333, loss_cls: 0.0710, acc: 97.2397, loss_bbox: 0.1480, loss_rpn_cls_unlabeled: 0.0796, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1512, acc_unlabeled: 91.9558, loss_bbox_unlabeled: 0.1645, losses_cls_ig_unlabeled: 0.1361, pseudo_num: 1.6552, pseudo_num_ig: 6.0576, pseudo_num_mining: 0.8290, pseudo_num(acc): 0.7728, pseudo_num ig(acc): 0.3893, loss: 0.8855
2021-11-07 00:45:45,078 - mmdet - INFO - Iter [27700/40000]	lr: 2.000e-02, eta: 6:31:30, time: 1.724, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0344, loss_cls: 0.0741, acc: 97.1029, loss_bbox: 0.1529, loss_rpn_cls_unlabeled: 0.0798, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1518, acc_unlabeled: 91.8551, loss_bbox_unlabeled: 0.1661, losses_cls_ig_unlabeled: 0.1380, pseudo_num: 1.6550, pseudo_num_ig: 6.0573, pseudo_num_mining: 0.8293, pseudo_num(acc): 0.7729, pseudo_num ig(acc): 0.3893, loss: 0.9017
2021-11-07 00:47:10,630 - mmdet - INFO - Iter [27750/40000]	lr: 2.000e-02, eta: 6:29:50, time: 1.711, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0326, loss_cls: 0.0714, acc: 97.2194, loss_bbox: 0.1466, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0949, loss_cls_unlabeled: 0.1597, acc_unlabeled: 91.7084, loss_bbox_unlabeled: 0.1721, losses_cls_ig_unlabeled: 0.1444, pseudo_num: 1.6549, pseudo_num_ig: 6.0576, pseudo_num_mining: 0.8297, pseudo_num(acc): 0.7730, pseudo_num ig(acc): 0.3893, loss: 0.9167
2021-11-07 00:48:36,462 - mmdet - INFO - Iter [27800/40000]	lr: 2.000e-02, eta: 6:28:10, time: 1.714, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0336, loss_cls: 0.0710, acc: 97.2120, loss_bbox: 0.1478, loss_rpn_cls_unlabeled: 0.0784, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1574, acc_unlabeled: 91.9209, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1368, pseudo_num: 1.6548, pseudo_num_ig: 6.0576, pseudo_num_mining: 0.8300, pseudo_num(acc): 0.7730, pseudo_num ig(acc): 0.3893, loss: 0.9014
2021-11-07 00:49:59,971 - mmdet - INFO - Iter [27850/40000]	lr: 2.000e-02, eta: 6:26:29, time: 1.672, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0344, loss_cls: 0.0765, acc: 97.0256, loss_bbox: 0.1540, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0954, loss_cls_unlabeled: 0.1616, acc_unlabeled: 91.5947, loss_bbox_unlabeled: 0.1783, losses_cls_ig_unlabeled: 0.1423, pseudo_num: 1.6548, pseudo_num_ig: 6.0578, pseudo_num_mining: 0.8304, pseudo_num(acc): 0.7731, pseudo_num ig(acc): 0.3893, loss: 0.9348
2021-11-07 00:51:24,521 - mmdet - INFO - Iter [27900/40000]	lr: 2.000e-02, eta: 6:24:49, time: 1.693, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0324, loss_cls: 0.0726, acc: 97.1696, loss_bbox: 0.1490, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0967, loss_cls_unlabeled: 0.1570, acc_unlabeled: 91.6388, loss_bbox_unlabeled: 0.1722, losses_cls_ig_unlabeled: 0.1418, pseudo_num: 1.6546, pseudo_num_ig: 6.0580, pseudo_num_mining: 0.8309, pseudo_num(acc): 0.7732, pseudo_num ig(acc): 0.3894, loss: 0.9153
2021-11-07 00:52:51,766 - mmdet - INFO - Iter [27950/40000]	lr: 2.000e-02, eta: 6:23:10, time: 1.744, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0330, loss_cls: 0.0735, acc: 97.1328, loss_bbox: 0.1497, loss_rpn_cls_unlabeled: 0.0755, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1487, acc_unlabeled: 91.9148, loss_bbox_unlabeled: 0.1675, losses_cls_ig_unlabeled: 0.1312, pseudo_num: 1.6543, pseudo_num_ig: 6.0578, pseudo_num_mining: 0.8314, pseudo_num(acc): 0.7733, pseudo_num ig(acc): 0.3894, loss: 0.8799
2021-11-07 00:54:14,490 - mmdet - INFO - pseudo pos: 0.98(54365.0-person) 0.87(1511.0-bicycle) 0.92(8014.0-car) 0.98(1630.0-motorcycle) 0.99(718.0-airplane) 0.99(1117.0-bus) 0.97(1118.0-train) 0.70(1942.0-truck) 0.66(2257.0-boat) 0.87(2896.0-traffic light) 0.99(381.0-fire hydrant) 0.95(418.0-stop sign) 0.76(356.0-parking meter) 0.65(1880.0-bench) 0.92(1569.0-bird) 0.96(1000.0-cat) 0.95(982.0-dog) 0.97(1362.0-horse) 0.96(1033.0-sheep) 0.85(2055.0-cow) 0.99(823.0-elephant) 0.99(286.0-bear) 0.99(1430.0-zebra) 0.99(1431.0-giraffe) 0.43(1756.0-backpack) 0.81(2248.0-umbrella) 0.43(2689.0-handbag) 0.86(1253.0-tie) 0.68(1454.0-suitcase) 0.91(541.0-frisbee) 0.58(1332.0-skis) 0.23(900.0-snowboard) 0.96(1164.0-sports ball) 0.75(1988.0-kite) 0.82(636.0-baseball bat) 0.81(840.0-baseball glove) 0.97(1072.0-skateboard) 0.86(1158.0-surfboard) 0.95(666.0-tennis racket) 0.83(4431.0-bottle) 0.92(1287.0-wine glass) 0.80(4819.0-cup) 0.44(744.0-fork) 0.32(1871.0-knife) 0.28(1387.0-spoon) 0.71(4217.0-bowl) 0.61(1967.0-banana) 0.34(1867.0-apple) 0.43(1779.0-sandwich) 0.45(972.0-orange) 0.66(1293.0-broccoli) 0.41(1652.0-carrot) 0.03(6741.0-hot dog) 0.95(1202.0-pizza) 0.71(1708.0-donut) 0.53(1318.0-cake) 0.62(9652.0-chair) 0.77(1165.0-couch) 0.64(1979.0-potted plant) 0.91(926.0-bed) 0.68(4160.0-dining table) 0.93(758.0-toilet) 0.95(1316.0-tv) 0.97(934.0-laptop) 0.96(283.0-mouse) 0.61(974.0-remote) 0.74(583.0-keyboard) 0.66(1533.0-cell phone) 0.96(383.0-microwave) 0.77(919.0-oven) 0.14(56.0-toaster) 0.77(1233.0-sink) 0.92(551.0-refrigerator) 0.23(4801.0-book) 0.96(1102.0-clock) 0.88(1149.0-vase) 0.54(341.0-scissors) 0.94(549.0-teddy bear) 0.00(0.0-hair drier) 0.21(574.0-toothbrush)
2021-11-07 00:54:14,491 - mmdet - INFO - pseudo ig: 0.56(202123.0-person) 0.30(5842.0-bicycle) 0.46(32362.0-car) 0.50(6176.0-motorcycle) 0.73(2393.0-airplane) 0.60(4306.0-bus) 0.53(3646.0-train) 0.30(7463.0-truck) 0.28(8750.0-boat) 0.29(11557.0-traffic light) 0.56(1436.0-fire hydrant) 0.50(1678.0-stop sign) 0.21(1105.0-parking meter) 0.18(7118.0-bench) 0.32(5515.0-bird) 0.70(3474.0-cat) 0.62(3426.0-dog) 0.52(5120.0-horse) 0.71(4034.0-sheep) 0.34(8377.0-cow) 0.80(3441.0-elephant) 0.61(1059.0-bear) 0.51(5465.0-zebra) 0.65(4546.0-giraffe) 0.18(6846.0-backpack) 0.32(8865.0-umbrella) 0.13(11002.0-handbag) 0.29(5034.0-tie) 0.21(5615.0-suitcase) 0.42(2185.0-frisbee) 0.27(5156.0-skis) 0.17(1838.0-snowboard) 0.34(4981.0-sports ball) 0.32(7711.0-kite) 0.26(2659.0-baseball bat) 0.27(3433.0-baseball glove) 0.43(3925.0-skateboard) 0.37(4382.0-surfboard) 0.68(2692.0-tennis racket) 0.33(18922.0-bottle) 0.37(5295.0-wine glass) 0.28(19463.0-cup) 0.23(2956.0-fork) 0.12(7395.0-knife) 0.10(5903.0-spoon) 0.26(16503.0-bowl) 0.22(8042.0-banana) 0.14(6282.0-apple) 0.22(3883.0-sandwich) 0.28(2577.0-orange) 0.33(5434.0-broccoli) 0.15(6666.0-carrot) 0.14(1148.0-hot dog) 0.47(4466.0-pizza) 0.26(6034.0-donut) 0.22(4776.0-cake) 0.20(38339.0-chair) 0.33(4356.0-couch) 0.28(7789.0-potted plant) 0.43(3299.0-bed) 0.30(12731.0-dining table) 0.59(3273.0-toilet) 0.48(4545.0-tv) 0.54(3385.0-laptop) 0.59(1060.0-mouse) 0.21(4045.0-remote) 0.46(2208.0-keyboard) 0.21(5821.0-cell phone) 0.36(1433.0-microwave) 0.24(3310.0-oven) 0.14(111.0-toaster) 0.37(4492.0-sink) 0.34(1988.0-refrigerator) 0.11(19239.0-book) 0.58(4248.0-clock) 0.35(4481.0-vase) 0.20(1326.0-scissors) 0.62(2186.0-teddy bear) 0.00(0.0-hair drier) 0.06(1975.0-toothbrush)
2021-11-07 00:54:14,491 - mmdet - INFO - pseudo gt: 245132.0 6660.0 40911.0 8478.0 4926.0 5914.0 4301.0 9392.0 9992.0 11892.0 1769.0 1918.0 1192.0 9482.0 9727.0 4474.0 5163.0 6458.0 9099.0 7774.0 5438.0 1243.0 4989.0 5039.0 8491.0 10453.0 11958.0 6032.0 5948.0 2553.0 6149.0 2483.0 6249.0 8423.0 3121.0 3449.0 5261.0 5574.0 4571.0 22610.0 7387.0 19568.0 5195.0 7373.0 5783.0 13438.0 8692.0 5604.0 3973.0 5728.0 6594.0 7496.0 2805.0 5689.0 6100.0 5810.0 36216.0 5482.0 8206.0 3984.0 14876.0 3906.0 5651.0 4842.0 2204.0 5578.0 2680.0 6144.0 1476.0 3030.0 203.0 5191.0 2460.0 23096.0 5860.0 5995.0 1394.0 4352.0 183.0 1877.0
2021-11-07 00:54:14,491 - mmdet - INFO - pseudo mining: 44290.0 151.0 5856.0 580.0 571.0 889.0 521.0 242.0 449.0 1395.0 477.0 1032.0 13.0 41.0 264.0 792.0 424.0 825.0 1794.0 552.0 1583.0 311.0 1356.0 1601.0 75.0 778.0 61.0 235.0 62.0 519.0 120.0 24.0 1435.0 1802.0 358.0 571.0 451.0 242.0 1311.0 1662.0 289.0 1585.0 15.0 72.0 33.0 1407.0 215.0 203.0 102.0 609.0 670.0 262.0 1.0 562.0 808.0 123.0 195.0 110.0 565.0 105.0 309.0 1313.0 1238.0 617.0 462.0 96.0 536.0 356.0 189.0 98.0 2.0 767.0 100.0 226.0 2495.0 138.0 5.0 630.0 0.0 1.0
2021-11-07 00:55:09,091 - mmdet - INFO - Evaluating bbox...
2021-11-07 00:56:10,901 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.389 | bicycle      | 0.180 | car            | 0.301 |
| motorcycle    | 0.248 | airplane     | 0.281 | bus            | 0.464 |
| train         | 0.389 | truck        | 0.147 | boat           | 0.122 |
| traffic light | 0.204 | fire hydrant | 0.466 | stop sign      | 0.442 |
| parking meter | 0.338 | bench        | 0.122 | bird           | 0.180 |
| cat           | 0.411 | dog          | 0.352 | horse          | 0.370 |
| sheep         | 0.271 | cow          | 0.344 | elephant       | 0.416 |
| bear          | 0.463 | zebra        | 0.458 | giraffe        | 0.507 |
| backpack      | 0.050 | umbrella     | 0.184 | handbag        | 0.045 |
| tie           | 0.171 | suitcase     | 0.103 | frisbee        | 0.398 |
| skis          | 0.071 | snowboard    | 0.064 | sports ball    | 0.300 |
| kite          | 0.223 | baseball bat | 0.125 | baseball glove | 0.212 |
| skateboard    | 0.273 | surfboard    | 0.177 | tennis racket  | 0.254 |
| bottle        | 0.235 | wine glass   | 0.200 | cup            | 0.238 |
| fork          | 0.057 | knife        | 0.034 | spoon          | 0.028 |
| bowl          | 0.255 | banana       | 0.089 | apple          | 0.079 |
| sandwich      | 0.192 | orange       | 0.136 | broccoli       | 0.122 |
| carrot        | 0.041 | hot dog      | 0.078 | pizza          | 0.326 |
| donut         | 0.173 | cake         | 0.114 | chair          | 0.104 |
| couch         | 0.219 | potted plant | 0.112 | bed            | 0.271 |
| dining table  | 0.139 | toilet       | 0.424 | tv             | 0.399 |
| laptop        | 0.366 | mouse        | 0.447 | remote         | 0.069 |
| keyboard      | 0.250 | cell phone   | 0.182 | microwave      | 0.348 |
| oven          | 0.181 | toaster      | 0.030 | sink           | 0.164 |
| refrigerator  | 0.329 | book         | 0.023 | clock          | 0.392 |
| vase          | 0.199 | scissors     | 0.136 | teddy bear     | 0.251 |
| hair drier    | 0.000 | toothbrush   | 0.042 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 00:57:03,080 - mmdet - INFO - Evaluating bbox...
2021-11-07 00:58:03,946 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.397 | bicycle      | 0.191 | car            | 0.314 |
| motorcycle    | 0.260 | airplane     | 0.331 | bus            | 0.500 |
| train         | 0.424 | truck        | 0.153 | boat           | 0.135 |
| traffic light | 0.208 | fire hydrant | 0.492 | stop sign      | 0.442 |
| parking meter | 0.355 | bench        | 0.130 | bird           | 0.184 |
| cat           | 0.435 | dog          | 0.395 | horse          | 0.396 |
| sheep         | 0.316 | cow          | 0.365 | elephant       | 0.447 |
| bear          | 0.498 | zebra        | 0.475 | giraffe        | 0.522 |
| backpack      | 0.059 | umbrella     | 0.204 | handbag        | 0.059 |
| tie           | 0.187 | suitcase     | 0.114 | frisbee        | 0.440 |
| skis          | 0.087 | snowboard    | 0.051 | sports ball    | 0.311 |
| kite          | 0.228 | baseball bat | 0.131 | baseball glove | 0.221 |
| skateboard    | 0.310 | surfboard    | 0.209 | tennis racket  | 0.262 |
| bottle        | 0.250 | wine glass   | 0.205 | cup            | 0.265 |
| fork          | 0.069 | knife        | 0.043 | spoon          | 0.029 |
| bowl          | 0.278 | banana       | 0.096 | apple          | 0.085 |
| sandwich      | 0.194 | orange       | 0.161 | broccoli       | 0.142 |
| carrot        | 0.051 | hot dog      | 0.076 | pizza          | 0.354 |
| donut         | 0.221 | cake         | 0.126 | chair          | 0.116 |
| couch         | 0.235 | potted plant | 0.115 | bed            | 0.296 |
| dining table  | 0.144 | toilet       | 0.415 | tv             | 0.414 |
| laptop        | 0.418 | mouse        | 0.473 | remote         | 0.076 |
| keyboard      | 0.259 | cell phone   | 0.194 | microwave      | 0.356 |
| oven          | 0.180 | toaster      | 0.049 | sink           | 0.168 |
| refrigerator  | 0.361 | book         | 0.026 | clock          | 0.405 |
| vase          | 0.211 | scissors     | 0.157 | teddy bear     | 0.272 |
| hair drier    | 0.000 | toothbrush   | 0.044 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 00:59:28,359 - mmdet - INFO - current percent: 0.2
2021-11-07 00:59:28,359 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.99-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.95-bench) (0.99-bird) (1.00-cat) (1.00-dog) (1.00-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (1.00-umbrella) (0.90-handbag) (0.98-tie) (0.95-suitcase) (1.00-frisbee) (0.98-skis) (0.89-snowboard) (1.00-sports ball) (0.99-kite) (1.00-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.97-fork) (0.94-knife) (0.90-spoon) (0.99-bowl) (0.96-banana) (0.95-apple) (0.98-sandwich) (0.99-orange) (0.99-broccoli) (0.97-carrot) (0.70-hot dog) (1.00-pizza) (0.99-donut) (0.97-cake) (0.93-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.94-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.89-toaster) (1.00-sink) (1.00-refrigerator) (0.93-book) (1.00-clock) (0.98-vase) (0.97-scissors) (1.00-teddy bear) (0.05-hair drier) (0.84-toothbrush)
2021-11-07 00:59:28,360 - mmdet - INFO - update score thr (ignore): (0.13-person) (0.13-bicycle) (0.31-car) (0.12-motorcycle) (0.52-airplane) (0.36-bus) (0.51-train) (0.35-truck) (0.31-boat) (0.21-traffic light) (0.67-fire hydrant) (0.95-stop sign) (0.05-parking meter) (0.19-bench) (0.08-bird) (0.52-cat) (0.46-dog) (0.30-horse) (0.78-sheep) (0.24-cow) (0.85-elephant) (0.70-bear) (0.05-zebra) (0.17-giraffe) (0.35-backpack) (0.14-umbrella) (0.16-handbag) (0.19-tie) (0.15-suitcase) (0.63-frisbee) (0.31-skis) (0.21-snowboard) (0.34-sports ball) (0.37-kite) (0.44-baseball bat) (0.49-baseball glove) (0.28-skateboard) (0.20-surfboard) (0.78-tennis racket) (0.31-bottle) (0.10-wine glass) (0.29-cup) (0.07-fork) (0.31-knife) (0.18-spoon) (0.32-bowl) (0.13-banana) (0.32-apple) (0.37-sandwich) (0.51-orange) (0.43-broccoli) (0.64-carrot) (0.24-hot dog) (0.32-pizza) (0.57-donut) (0.22-cake) (0.12-chair) (0.36-couch) (0.30-potted plant) (0.47-bed) (0.27-dining table) (0.68-toilet) (0.54-tv) (0.26-laptop) (0.78-mouse) (0.21-remote) (0.50-keyboard) (0.45-cell phone) (0.42-microwave) (0.39-oven) (0.69-toaster) (0.38-sink) (0.38-refrigerator) (0.23-book) (0.48-clock) (0.20-vase) (0.18-scissors) (0.67-teddy bear) (0.05-hair drier) (0.15-toothbrush)
2021-11-07 00:59:28,625 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 00:59:28,626 - mmdet - INFO - Iter [28000/40000]	lr: 2.000e-02, eta: 6:21:30, time: 1.683, data_time: 0.028, memory: 26488, bbox_mAP: 0.2410, bbox_mAP_50: 0.4160, bbox_mAP_75: 0.2480, bbox_mAP_s: 0.1230, bbox_mAP_m: 0.2650, bbox_mAP_l: 0.3270, bbox_mAP_copypaste: 0.241 0.416 0.248 0.123 0.265 0.327, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0326, loss_cls: 0.0715, acc: 97.2014, loss_bbox: 0.1494, loss_rpn_cls_unlabeled: 0.0866, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1561, acc_unlabeled: 91.9827, loss_bbox_unlabeled: 0.1722, losses_cls_ig_unlabeled: 0.1365, pseudo_num: 1.6540, pseudo_num_ig: 6.0577, pseudo_num_mining: 0.8319, pseudo_num(acc): 0.7734, pseudo_num ig(acc): 0.3894, loss: 0.9066
2021-11-07 01:00:53,444 - mmdet - INFO - Iter [28050/40000]	lr: 2.000e-02, eta: 6:22:03, time: 7.950, data_time: 6.281, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0328, loss_cls: 0.0705, acc: 97.2145, loss_bbox: 0.1475, loss_rpn_cls_unlabeled: 0.0842, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1569, acc_unlabeled: 91.9851, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6539, pseudo_num_ig: 6.0580, pseudo_num_mining: 0.8325, pseudo_num(acc): 0.7734, pseudo_num ig(acc): 0.3894, loss: 0.9048
2021-11-07 01:02:16,802 - mmdet - INFO - Iter [28100/40000]	lr: 2.000e-02, eta: 6:20:22, time: 1.668, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0321, loss_cls: 0.0717, acc: 97.1715, loss_bbox: 0.1480, loss_rpn_cls_unlabeled: 0.0765, loss_rpn_bbox_unlabeled: 0.0897, loss_cls_unlabeled: 0.1570, acc_unlabeled: 91.7491, loss_bbox_unlabeled: 0.1729, losses_cls_ig_unlabeled: 0.1358, pseudo_num: 1.6536, pseudo_num_ig: 6.0579, pseudo_num_mining: 0.8330, pseudo_num(acc): 0.7735, pseudo_num ig(acc): 0.3894, loss: 0.8937
2021-11-07 01:03:41,805 - mmdet - INFO - Iter [28150/40000]	lr: 2.000e-02, eta: 6:18:42, time: 1.698, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0325, loss_cls: 0.0727, acc: 97.1587, loss_bbox: 0.1543, loss_rpn_cls_unlabeled: 0.0823, loss_rpn_bbox_unlabeled: 0.0977, loss_cls_unlabeled: 0.1557, acc_unlabeled: 91.8994, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1343, pseudo_num: 1.6534, pseudo_num_ig: 6.0578, pseudo_num_mining: 0.8334, pseudo_num(acc): 0.7736, pseudo_num ig(acc): 0.3895, loss: 0.9170
2021-11-07 01:05:05,821 - mmdet - INFO - Iter [28200/40000]	lr: 2.000e-02, eta: 6:17:01, time: 1.682, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0314, loss_cls: 0.0693, acc: 97.2833, loss_bbox: 0.1467, loss_rpn_cls_unlabeled: 0.0853, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1484, acc_unlabeled: 92.0386, loss_bbox_unlabeled: 0.1631, losses_cls_ig_unlabeled: 0.1313, pseudo_num: 1.6533, pseudo_num_ig: 6.0575, pseudo_num_mining: 0.8338, pseudo_num(acc): 0.7737, pseudo_num ig(acc): 0.3895, loss: 0.8775
2021-11-07 01:06:30,894 - mmdet - INFO - Iter [28250/40000]	lr: 2.000e-02, eta: 6:15:20, time: 1.696, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0299, loss_cls: 0.0684, acc: 97.3491, loss_bbox: 0.1441, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0947, loss_cls_unlabeled: 0.1569, acc_unlabeled: 91.7506, loss_bbox_unlabeled: 0.1736, losses_cls_ig_unlabeled: 0.1398, pseudo_num: 1.6531, pseudo_num_ig: 6.0573, pseudo_num_mining: 0.8342, pseudo_num(acc): 0.7738, pseudo_num ig(acc): 0.3895, loss: 0.9026
2021-11-07 01:07:53,904 - mmdet - INFO - Iter [28300/40000]	lr: 2.000e-02, eta: 6:13:39, time: 1.665, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0090, loss_rpn_bbox: 0.0305, loss_cls: 0.0692, acc: 97.3152, loss_bbox: 0.1420, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1629, acc_unlabeled: 91.8793, loss_bbox_unlabeled: 0.1785, losses_cls_ig_unlabeled: 0.1322, pseudo_num: 1.6530, pseudo_num_ig: 6.0573, pseudo_num_mining: 0.8346, pseudo_num(acc): 0.7739, pseudo_num ig(acc): 0.3895, loss: 0.8980
2021-11-07 01:09:20,038 - mmdet - INFO - Iter [28350/40000]	lr: 2.000e-02, eta: 6:12:00, time: 1.723, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0326, loss_cls: 0.0707, acc: 97.2352, loss_bbox: 0.1473, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0996, loss_cls_unlabeled: 0.1584, acc_unlabeled: 91.7621, loss_bbox_unlabeled: 0.1744, losses_cls_ig_unlabeled: 0.1383, pseudo_num: 1.6529, pseudo_num_ig: 6.0572, pseudo_num_mining: 0.8351, pseudo_num(acc): 0.7741, pseudo_num ig(acc): 0.3895, loss: 0.9161
2021-11-07 01:10:43,642 - mmdet - INFO - Iter [28400/40000]	lr: 2.000e-02, eta: 6:10:19, time: 1.668, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0320, loss_cls: 0.0716, acc: 97.1642, loss_bbox: 0.1471, loss_rpn_cls_unlabeled: 0.0814, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1556, acc_unlabeled: 91.9631, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1315, pseudo_num: 1.6527, pseudo_num_ig: 6.0572, pseudo_num_mining: 0.8355, pseudo_num(acc): 0.7742, pseudo_num ig(acc): 0.3896, loss: 0.8986
2021-11-07 01:12:07,677 - mmdet - INFO - Iter [28450/40000]	lr: 2.000e-02, eta: 6:08:38, time: 1.683, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0325, loss_cls: 0.0710, acc: 97.2196, loss_bbox: 0.1465, loss_rpn_cls_unlabeled: 0.0803, loss_rpn_bbox_unlabeled: 0.0897, loss_cls_unlabeled: 0.1487, acc_unlabeled: 92.0076, loss_bbox_unlabeled: 0.1676, losses_cls_ig_unlabeled: 0.1336, pseudo_num: 1.6524, pseudo_num_ig: 6.0568, pseudo_num_mining: 0.8359, pseudo_num(acc): 0.7743, pseudo_num ig(acc): 0.3896, loss: 0.8798
2021-11-07 01:13:29,747 - mmdet - INFO - pseudo pos: 0.98(55382.0-person) 0.87(1537.0-bicycle) 0.92(8148.0-car) 0.98(1656.0-motorcycle) 0.99(725.0-airplane) 0.99(1138.0-bus) 0.97(1138.0-train) 0.69(1973.0-truck) 0.66(2286.0-boat) 0.87(2936.0-traffic light) 0.99(390.0-fire hydrant) 0.95(424.0-stop sign) 0.76(360.0-parking meter) 0.65(1905.0-bench) 0.92(1592.0-bird) 0.96(1013.0-cat) 0.95(997.0-dog) 0.97(1380.0-horse) 0.96(1051.0-sheep) 0.85(2088.0-cow) 0.99(837.0-elephant) 0.99(288.0-bear) 0.99(1457.0-zebra) 0.99(1458.0-giraffe) 0.43(1783.0-backpack) 0.80(2286.0-umbrella) 0.43(2747.0-handbag) 0.86(1281.0-tie) 0.68(1479.0-suitcase) 0.91(550.0-frisbee) 0.59(1354.0-skis) 0.24(907.0-snowboard) 0.96(1187.0-sports ball) 0.75(2009.0-kite) 0.82(646.0-baseball bat) 0.81(856.0-baseball glove) 0.96(1084.0-skateboard) 0.86(1175.0-surfboard) 0.95(682.0-tennis racket) 0.83(4493.0-bottle) 0.92(1306.0-wine glass) 0.80(4910.0-cup) 0.44(751.0-fork) 0.32(1901.0-knife) 0.28(1410.0-spoon) 0.71(4294.0-bowl) 0.61(1994.0-banana) 0.34(1895.0-apple) 0.43(1802.0-sandwich) 0.45(983.0-orange) 0.66(1308.0-broccoli) 0.41(1673.0-carrot) 0.03(6749.0-hot dog) 0.95(1225.0-pizza) 0.71(1740.0-donut) 0.53(1340.0-cake) 0.62(9839.0-chair) 0.78(1190.0-couch) 0.64(2007.0-potted plant) 0.91(934.0-bed) 0.68(4230.0-dining table) 0.93(767.0-toilet) 0.95(1337.0-tv) 0.97(942.0-laptop) 0.96(296.0-mouse) 0.61(991.0-remote) 0.74(598.0-keyboard) 0.66(1560.0-cell phone) 0.96(384.0-microwave) 0.77(927.0-oven) 0.14(56.0-toaster) 0.77(1254.0-sink) 0.92(560.0-refrigerator) 0.23(4895.0-book) 0.95(1131.0-clock) 0.88(1167.0-vase) 0.54(344.0-scissors) 0.94(562.0-teddy bear) 0.00(0.0-hair drier) 0.21(582.0-toothbrush)
2021-11-07 01:13:29,747 - mmdet - INFO - pseudo ig: 0.56(205802.0-person) 0.30(5973.0-bicycle) 0.46(32923.0-car) 0.49(6304.0-motorcycle) 0.72(2437.0-airplane) 0.60(4379.0-bus) 0.53(3694.0-train) 0.30(7566.0-truck) 0.28(8883.0-boat) 0.29(11745.0-traffic light) 0.56(1458.0-fire hydrant) 0.50(1697.0-stop sign) 0.21(1124.0-parking meter) 0.18(7238.0-bench) 0.32(5624.0-bird) 0.70(3538.0-cat) 0.62(3492.0-dog) 0.52(5208.0-horse) 0.70(4078.0-sheep) 0.34(8543.0-cow) 0.80(3494.0-elephant) 0.61(1067.0-bear) 0.51(5577.0-zebra) 0.65(4636.0-giraffe) 0.18(6955.0-backpack) 0.32(9010.0-umbrella) 0.13(11218.0-handbag) 0.30(5137.0-tie) 0.21(5723.0-suitcase) 0.42(2218.0-frisbee) 0.27(5232.0-skis) 0.18(1868.0-snowboard) 0.34(5078.0-sports ball) 0.32(7832.0-kite) 0.26(2689.0-baseball bat) 0.27(3492.0-baseball glove) 0.44(4015.0-skateboard) 0.37(4466.0-surfboard) 0.68(2724.0-tennis racket) 0.33(19220.0-bottle) 0.37(5381.0-wine glass) 0.28(19766.0-cup) 0.23(3008.0-fork) 0.12(7506.0-knife) 0.10(5993.0-spoon) 0.26(16790.0-bowl) 0.22(8196.0-banana) 0.14(6406.0-apple) 0.22(3948.0-sandwich) 0.28(2613.0-orange) 0.33(5499.0-broccoli) 0.16(6770.0-carrot) 0.14(1163.0-hot dog) 0.47(4526.0-pizza) 0.27(6187.0-donut) 0.22(4854.0-cake) 0.20(39041.0-chair) 0.33(4453.0-couch) 0.28(7900.0-potted plant) 0.43(3346.0-bed) 0.30(12950.0-dining table) 0.59(3319.0-toilet) 0.48(4642.0-tv) 0.54(3436.0-laptop) 0.59(1075.0-mouse) 0.21(4106.0-remote) 0.46(2244.0-keyboard) 0.21(5913.0-cell phone) 0.35(1468.0-microwave) 0.24(3371.0-oven) 0.14(111.0-toaster) 0.37(4582.0-sink) 0.34(2027.0-refrigerator) 0.11(19539.0-book) 0.58(4357.0-clock) 0.35(4555.0-vase) 0.20(1344.0-scissors) 0.62(2251.0-teddy bear) 0.00(0.0-hair drier) 0.06(2001.0-toothbrush)
2021-11-07 01:13:29,747 - mmdet - INFO - pseudo gt: 249475.0 6777.0 41630.0 8621.0 4990.0 6058.0 4367.0 9553.0 10190.0 12100.0 1803.0 1952.0 1206.0 9600.0 9898.0 4568.0 5275.0 6587.0 9205.0 7927.0 5511.0 1261.0 5087.0 5148.0 8659.0 10615.0 12171.0 6181.0 6042.0 2608.0 6273.0 2534.0 6340.0 8530.0 3163.0 3517.0 5362.0 5664.0 4644.0 22979.0 7542.0 19899.0 5278.0 7494.0 5881.0 13654.0 8830.0 5719.0 4069.0 5860.0 6709.0 7643.0 2849.0 5777.0 6295.0 5915.0 36886.0 5591.0 8336.0 4050.0 15119.0 3963.0 5757.0 4911.0 2245.0 5675.0 2735.0 6262.0 1499.0 3080.0 210.0 5294.0 2505.0 23570.0 6000.0 6112.0 1420.0 4438.0 184.0 1923.0
2021-11-07 01:13:29,747 - mmdet - INFO - pseudo mining: 45197.0 154.0 5986.0 593.0 583.0 912.0 538.0 247.0 460.0 1411.0 488.0 1050.0 13.0 41.0 268.0 818.0 435.0 854.0 1819.0 571.0 1619.0 313.0 1396.0 1657.0 76.0 802.0 62.0 240.0 63.0 537.0 125.0 25.0 1468.0 1840.0 365.0 589.0 474.0 247.0 1338.0 1715.0 296.0 1636.0 15.0 73.0 33.0 1443.0 220.0 216.0 103.0 620.0 685.0 279.0 1.0 571.0 849.0 126.0 198.0 115.0 573.0 109.0 316.0 1339.0 1268.0 627.0 468.0 100.0 549.0 363.0 193.0 105.0 2.0 785.0 102.0 229.0 2554.0 144.0 5.0 658.0 0.0 1.0
2021-11-07 01:13:31,566 - mmdet - INFO - Iter [28500/40000]	lr: 2.000e-02, eta: 6:06:58, time: 1.673, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0306, loss_cls: 0.0685, acc: 97.3087, loss_bbox: 0.1425, loss_rpn_cls_unlabeled: 0.0777, loss_rpn_bbox_unlabeled: 0.0908, loss_cls_unlabeled: 0.1520, acc_unlabeled: 92.0120, loss_bbox_unlabeled: 0.1694, losses_cls_ig_unlabeled: 0.1302, pseudo_num: 1.6521, pseudo_num_ig: 6.0565, pseudo_num_mining: 0.8364, pseudo_num(acc): 0.7743, pseudo_num ig(acc): 0.3896, loss: 0.8716
2021-11-07 01:14:56,498 - mmdet - INFO - Iter [28550/40000]	lr: 2.000e-02, eta: 6:05:18, time: 1.701, data_time: 0.039, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0332, loss_cls: 0.0731, acc: 97.1423, loss_bbox: 0.1492, loss_rpn_cls_unlabeled: 0.0814, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1504, acc_unlabeled: 91.8972, loss_bbox_unlabeled: 0.1677, losses_cls_ig_unlabeled: 0.1335, pseudo_num: 1.6518, pseudo_num_ig: 6.0563, pseudo_num_mining: 0.8369, pseudo_num(acc): 0.7744, pseudo_num ig(acc): 0.3897, loss: 0.8897
2021-11-07 01:16:23,369 - mmdet - INFO - Iter [28600/40000]	lr: 2.000e-02, eta: 6:03:38, time: 1.738, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0324, loss_cls: 0.0713, acc: 97.2172, loss_bbox: 0.1449, loss_rpn_cls_unlabeled: 0.0908, loss_rpn_bbox_unlabeled: 0.0975, loss_cls_unlabeled: 0.1619, acc_unlabeled: 91.7462, loss_bbox_unlabeled: 0.1788, losses_cls_ig_unlabeled: 0.1387, pseudo_num: 1.6516, pseudo_num_ig: 6.0565, pseudo_num_mining: 0.8374, pseudo_num(acc): 0.7746, pseudo_num ig(acc): 0.3897, loss: 0.9268
2021-11-07 01:17:47,780 - mmdet - INFO - Iter [28650/40000]	lr: 2.000e-02, eta: 6:01:58, time: 1.688, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0327, loss_cls: 0.0710, acc: 97.2188, loss_bbox: 0.1465, loss_rpn_cls_unlabeled: 0.0793, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1490, acc_unlabeled: 91.9872, loss_bbox_unlabeled: 0.1703, losses_cls_ig_unlabeled: 0.1286, pseudo_num: 1.6514, pseudo_num_ig: 6.0567, pseudo_num_mining: 0.8379, pseudo_num(acc): 0.7746, pseudo_num ig(acc): 0.3897, loss: 0.8801
2021-11-07 01:19:12,015 - mmdet - INFO - Iter [28700/40000]	lr: 2.000e-02, eta: 6:00:18, time: 1.685, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0318, loss_cls: 0.0713, acc: 97.1964, loss_bbox: 0.1490, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0986, loss_cls_unlabeled: 0.1579, acc_unlabeled: 91.8370, loss_bbox_unlabeled: 0.1798, losses_cls_ig_unlabeled: 0.1346, pseudo_num: 1.6513, pseudo_num_ig: 6.0564, pseudo_num_mining: 0.8383, pseudo_num(acc): 0.7747, pseudo_num ig(acc): 0.3897, loss: 0.9179
2021-11-07 01:20:38,589 - mmdet - INFO - Iter [28750/40000]	lr: 2.000e-02, eta: 5:58:39, time: 1.731, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0324, loss_cls: 0.0723, acc: 97.1820, loss_bbox: 0.1488, loss_rpn_cls_unlabeled: 0.0791, loss_rpn_bbox_unlabeled: 0.0919, loss_cls_unlabeled: 0.1559, acc_unlabeled: 91.8334, loss_bbox_unlabeled: 0.1740, losses_cls_ig_unlabeled: 0.1344, pseudo_num: 1.6512, pseudo_num_ig: 6.0565, pseudo_num_mining: 0.8387, pseudo_num(acc): 0.7748, pseudo_num ig(acc): 0.3897, loss: 0.8992
2021-11-07 01:22:03,734 - mmdet - INFO - Iter [28800/40000]	lr: 2.000e-02, eta: 5:56:59, time: 1.704, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0309, loss_cls: 0.0692, acc: 97.2878, loss_bbox: 0.1453, loss_rpn_cls_unlabeled: 0.0795, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1559, acc_unlabeled: 91.9965, loss_bbox_unlabeled: 0.1739, losses_cls_ig_unlabeled: 0.1317, pseudo_num: 1.6510, pseudo_num_ig: 6.0562, pseudo_num_mining: 0.8391, pseudo_num(acc): 0.7749, pseudo_num ig(acc): 0.3898, loss: 0.8867
2021-11-07 01:23:29,210 - mmdet - INFO - Iter [28850/40000]	lr: 2.000e-02, eta: 5:55:20, time: 1.708, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0320, loss_cls: 0.0718, acc: 97.1963, loss_bbox: 0.1482, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1546, acc_unlabeled: 91.8627, loss_bbox_unlabeled: 0.1666, losses_cls_ig_unlabeled: 0.1378, pseudo_num: 1.6508, pseudo_num_ig: 6.0560, pseudo_num_mining: 0.8395, pseudo_num(acc): 0.7750, pseudo_num ig(acc): 0.3898, loss: 0.8998
2021-11-07 01:24:54,433 - mmdet - INFO - Iter [28900/40000]	lr: 2.000e-02, eta: 5:53:40, time: 1.704, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0321, loss_cls: 0.0663, acc: 97.3970, loss_bbox: 0.1418, loss_rpn_cls_unlabeled: 0.0827, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1504, acc_unlabeled: 91.9255, loss_bbox_unlabeled: 0.1642, losses_cls_ig_unlabeled: 0.1339, pseudo_num: 1.6505, pseudo_num_ig: 6.0561, pseudo_num_mining: 0.8400, pseudo_num(acc): 0.7751, pseudo_num ig(acc): 0.3898, loss: 0.8775
2021-11-07 01:26:18,361 - mmdet - INFO - Iter [28950/40000]	lr: 2.000e-02, eta: 5:52:00, time: 1.677, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0339, loss_cls: 0.0704, acc: 97.2336, loss_bbox: 0.1493, loss_rpn_cls_unlabeled: 0.0860, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1537, acc_unlabeled: 91.8269, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1368, pseudo_num: 1.6503, pseudo_num_ig: 6.0562, pseudo_num_mining: 0.8404, pseudo_num(acc): 0.7751, pseudo_num ig(acc): 0.3898, loss: 0.9016
2021-11-07 01:27:42,294 - mmdet - INFO - pseudo pos: 0.98(56426.0-person) 0.87(1555.0-bicycle) 0.92(8307.0-car) 0.98(1689.0-motorcycle) 0.99(733.0-airplane) 0.99(1165.0-bus) 0.97(1153.0-train) 0.70(2019.0-truck) 0.66(2311.0-boat) 0.87(2991.0-traffic light) 0.99(391.0-fire hydrant) 0.95(428.0-stop sign) 0.76(366.0-parking meter) 0.65(1950.0-bench) 0.93(1611.0-bird) 0.96(1031.0-cat) 0.95(1007.0-dog) 0.97(1392.0-horse) 0.96(1065.0-sheep) 0.85(2159.0-cow) 0.99(851.0-elephant) 0.99(297.0-bear) 0.99(1496.0-zebra) 0.99(1477.0-giraffe) 0.43(1806.0-backpack) 0.81(2326.0-umbrella) 0.44(2807.0-handbag) 0.86(1303.0-tie) 0.69(1497.0-suitcase) 0.91(557.0-frisbee) 0.59(1367.0-skis) 0.24(911.0-snowboard) 0.95(1199.0-sports ball) 0.74(2036.0-kite) 0.82(662.0-baseball bat) 0.81(872.0-baseball glove) 0.97(1108.0-skateboard) 0.86(1196.0-surfboard) 0.95(693.0-tennis racket) 0.83(4569.0-bottle) 0.93(1330.0-wine glass) 0.81(4987.0-cup) 0.45(762.0-fork) 0.32(1933.0-knife) 0.29(1437.0-spoon) 0.72(4354.0-bowl) 0.61(2028.0-banana) 0.34(1935.0-apple) 0.43(1822.0-sandwich) 0.45(996.0-orange) 0.66(1322.0-broccoli) 0.41(1700.0-carrot) 0.03(6750.0-hot dog) 0.95(1244.0-pizza) 0.71(1765.0-donut) 0.53(1360.0-cake) 0.63(10033.0-chair) 0.78(1203.0-couch) 0.64(2036.0-potted plant) 0.91(942.0-bed) 0.68(4311.0-dining table) 0.93(777.0-toilet) 0.95(1358.0-tv) 0.97(965.0-laptop) 0.96(305.0-mouse) 0.62(1008.0-remote) 0.73(607.0-keyboard) 0.67(1574.0-cell phone) 0.96(394.0-microwave) 0.77(938.0-oven) 0.14(56.0-toaster) 0.77(1274.0-sink) 0.92(570.0-refrigerator) 0.23(4979.0-book) 0.95(1175.0-clock) 0.88(1190.0-vase) 0.55(353.0-scissors) 0.94(579.0-teddy bear) 0.00(0.0-hair drier) 0.21(591.0-toothbrush)
2021-11-07 01:27:42,295 - mmdet - INFO - pseudo ig: 0.56(209368.0-person) 0.30(6089.0-bicycle) 0.46(33491.0-car) 0.49(6445.0-motorcycle) 0.73(2498.0-airplane) 0.60(4451.0-bus) 0.53(3741.0-train) 0.30(7677.0-truck) 0.28(9029.0-boat) 0.29(11961.0-traffic light) 0.57(1497.0-fire hydrant) 0.50(1717.0-stop sign) 0.21(1147.0-parking meter) 0.18(7386.0-bench) 0.32(5734.0-bird) 0.70(3596.0-cat) 0.62(3554.0-dog) 0.52(5286.0-horse) 0.71(4151.0-sheep) 0.34(8711.0-cow) 0.80(3540.0-elephant) 0.61(1078.0-bear) 0.50(5736.0-zebra) 0.65(4716.0-giraffe) 0.18(7072.0-backpack) 0.32(9181.0-umbrella) 0.13(11488.0-handbag) 0.30(5206.0-tie) 0.21(5841.0-suitcase) 0.43(2241.0-frisbee) 0.28(5311.0-skis) 0.17(1895.0-snowboard) 0.34(5161.0-sports ball) 0.32(7953.0-kite) 0.27(2745.0-baseball bat) 0.27(3546.0-baseball glove) 0.44(4078.0-skateboard) 0.37(4552.0-surfboard) 0.68(2765.0-tennis racket) 0.33(19583.0-bottle) 0.37(5472.0-wine glass) 0.28(20144.0-cup) 0.23(3061.0-fork) 0.12(7623.0-knife) 0.10(6121.0-spoon) 0.26(17063.0-bowl) 0.22(8292.0-banana) 0.14(6521.0-apple) 0.22(4001.0-sandwich) 0.28(2643.0-orange) 0.33(5602.0-broccoli) 0.16(6889.0-carrot) 0.15(1183.0-hot dog) 0.47(4607.0-pizza) 0.27(6265.0-donut) 0.22(4955.0-cake) 0.20(39693.0-chair) 0.33(4526.0-couch) 0.28(8034.0-potted plant) 0.43(3386.0-bed) 0.30(13176.0-dining table) 0.59(3378.0-toilet) 0.49(4726.0-tv) 0.54(3506.0-laptop) 0.59(1096.0-mouse) 0.22(4187.0-remote) 0.46(2276.0-keyboard) 0.21(6014.0-cell phone) 0.36(1494.0-microwave) 0.24(3434.0-oven) 0.13(112.0-toaster) 0.37(4658.0-sink) 0.34(2061.0-refrigerator) 0.11(19891.0-book) 0.58(4425.0-clock) 0.35(4645.0-vase) 0.21(1391.0-scissors) 0.62(2298.0-teddy bear) 0.00(0.0-hair drier) 0.06(2032.0-toothbrush)
2021-11-07 01:27:42,295 - mmdet - INFO - pseudo gt: 253913.0 6920.0 42390.0 8797.0 5088.0 6157.0 4432.0 9725.0 10358.0 12326.0 1842.0 1990.0 1237.0 9772.0 10073.0 4637.0 5361.0 6683.0 9395.0 8095.0 5579.0 1284.0 5212.0 5254.0 8794.0 10783.0 12393.0 6285.0 6143.0 2655.0 6399.0 2567.0 6434.0 8663.0 3235.0 3570.0 5448.0 5752.0 4727.0 23359.0 7681.0 20316.0 5394.0 7653.0 5959.0 13878.0 8935.0 5832.0 4158.0 5963.0 6867.0 7802.0 2909.0 5879.0 6369.0 6013.0 37472.0 5663.0 8501.0 4104.0 15413.0 4054.0 5871.0 4998.0 2286.0 5802.0 2788.0 6355.0 1537.0 3136.0 213.0 5385.0 2547.0 23890.0 6113.0 6214.0 1465.0 4547.0 187.0 1949.0
2021-11-07 01:27:42,295 - mmdet - INFO - pseudo mining: 46123.0 160.0 6144.0 608.0 612.0 930.0 547.0 251.0 470.0 1442.0 507.0 1067.0 14.0 44.0 275.0 837.0 456.0 875.0 1861.0 591.0 1655.0 317.0 1431.0 1698.0 78.0 832.0 63.0 244.0 65.0 546.0 130.0 26.0 1496.0 1878.0 378.0 599.0 488.0 254.0 1369.0 1765.0 303.0 1692.0 18.0 75.0 35.0 1476.0 222.0 226.0 104.0 628.0 709.0 291.0 1.0 588.0 869.0 131.0 200.0 119.0 586.0 114.0 325.0 1373.0 1309.0 641.0 476.0 102.0 566.0 373.0 199.0 115.0 3.0 812.0 106.0 233.0 2593.0 147.0 6.0 673.0 0.0 1.0
2021-11-07 01:29:08,606 - mmdet - INFO - current percent: 0.2
2021-11-07 01:29:08,606 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.96-bench) (0.98-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.95-backpack) (0.99-umbrella) (0.89-handbag) (0.99-tie) (0.95-suitcase) (1.00-frisbee) (0.97-skis) (0.84-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.98-bottle) (0.98-wine glass) (0.99-cup) (0.92-fork) (0.92-knife) (0.94-spoon) (0.99-bowl) (0.99-banana) (0.96-apple) (0.99-sandwich) (0.99-orange) (0.99-broccoli) (0.98-carrot) (0.90-hot dog) (0.99-pizza) (0.99-donut) (0.98-cake) (0.94-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.95-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.54-toaster) (1.00-sink) (1.00-refrigerator) (0.94-book) (1.00-clock) (0.99-vase) (0.75-scissors) (1.00-teddy bear) (0.05-hair drier) (0.75-toothbrush)
2021-11-07 01:29:08,607 - mmdet - INFO - update score thr (ignore): (0.14-person) (0.09-bicycle) (0.26-car) (0.11-motorcycle) (0.46-airplane) (0.43-bus) (0.35-train) (0.28-truck) (0.26-boat) (0.17-traffic light) (0.74-fire hydrant) (0.74-stop sign) (0.08-parking meter) (0.21-bench) (0.09-bird) (0.65-cat) (0.34-dog) (0.17-horse) (0.82-sheep) (0.29-cow) (0.40-elephant) (0.57-bear) (0.08-zebra) (0.05-giraffe) (0.37-backpack) (0.13-umbrella) (0.21-handbag) (0.23-tie) (0.16-suitcase) (0.49-frisbee) (0.23-skis) (0.15-snowboard) (0.39-sports ball) (0.52-kite) (0.46-baseball bat) (0.55-baseball glove) (0.17-skateboard) (0.25-surfboard) (0.42-tennis racket) (0.31-bottle) (0.09-wine glass) (0.26-cup) (0.07-fork) (0.25-knife) (0.22-spoon) (0.34-bowl) (0.16-banana) (0.32-apple) (0.33-sandwich) (0.67-orange) (0.37-broccoli) (0.60-carrot) (0.31-hot dog) (0.30-pizza) (0.68-donut) (0.24-cake) (0.13-chair) (0.37-couch) (0.30-potted plant) (0.33-bed) (0.25-dining table) (0.57-toilet) (0.58-tv) (0.35-laptop) (0.76-mouse) (0.19-remote) (0.68-keyboard) (0.40-cell phone) (0.56-microwave) (0.37-oven) (0.12-toaster) (0.45-sink) (0.62-refrigerator) (0.23-book) (0.56-clock) (0.25-vase) (0.08-scissors) (0.92-teddy bear) (0.05-hair drier) (0.09-toothbrush)
2021-11-07 01:29:08,915 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 01:29:08,915 - mmdet - INFO - Iter [29000/40000]	lr: 2.000e-02, eta: 5:50:20, time: 1.709, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0323, loss_cls: 0.0722, acc: 97.1707, loss_bbox: 0.1514, loss_rpn_cls_unlabeled: 0.0831, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1541, acc_unlabeled: 91.9594, loss_bbox_unlabeled: 0.1735, losses_cls_ig_unlabeled: 0.1302, pseudo_num: 1.6502, pseudo_num_ig: 6.0561, pseudo_num_mining: 0.8408, pseudo_num(acc): 0.7752, pseudo_num ig(acc): 0.3898, loss: 0.8995
2021-11-07 01:30:35,056 - mmdet - INFO - Iter [29050/40000]	lr: 2.000e-02, eta: 5:49:14, time: 3.428, data_time: 1.734, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0313, loss_cls: 0.0702, acc: 97.2424, loss_bbox: 0.1484, loss_rpn_cls_unlabeled: 0.0797, loss_rpn_bbox_unlabeled: 0.0910, loss_cls_unlabeled: 0.1484, acc_unlabeled: 92.0309, loss_bbox_unlabeled: 0.1674, losses_cls_ig_unlabeled: 0.1334, pseudo_num: 1.6500, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8412, pseudo_num(acc): 0.7753, pseudo_num ig(acc): 0.3898, loss: 0.8797
2021-11-07 01:32:00,042 - mmdet - INFO - Iter [29100/40000]	lr: 2.000e-02, eta: 5:47:34, time: 1.700, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0344, loss_cls: 0.0723, acc: 97.1541, loss_bbox: 0.1510, loss_rpn_cls_unlabeled: 0.0810, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1548, acc_unlabeled: 91.9830, loss_bbox_unlabeled: 0.1697, losses_cls_ig_unlabeled: 0.1340, pseudo_num: 1.6498, pseudo_num_ig: 6.0558, pseudo_num_mining: 0.8416, pseudo_num(acc): 0.7754, pseudo_num ig(acc): 0.3898, loss: 0.9011
2021-11-07 01:33:24,299 - mmdet - INFO - Iter [29150/40000]	lr: 2.000e-02, eta: 5:45:54, time: 1.684, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0334, loss_cls: 0.0716, acc: 97.1846, loss_bbox: 0.1471, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1564, acc_unlabeled: 91.8867, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1312, pseudo_num: 1.6495, pseudo_num_ig: 6.0558, pseudo_num_mining: 0.8421, pseudo_num(acc): 0.7755, pseudo_num ig(acc): 0.3899, loss: 0.9022
2021-11-07 01:34:48,687 - mmdet - INFO - Iter [29200/40000]	lr: 2.000e-02, eta: 5:44:14, time: 1.689, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0311, loss_cls: 0.0676, acc: 97.3451, loss_bbox: 0.1432, loss_rpn_cls_unlabeled: 0.0792, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1529, acc_unlabeled: 91.8737, loss_bbox_unlabeled: 0.1727, losses_cls_ig_unlabeled: 0.1341, pseudo_num: 1.6494, pseudo_num_ig: 6.0560, pseudo_num_mining: 0.8426, pseudo_num(acc): 0.7756, pseudo_num ig(acc): 0.3899, loss: 0.8853
2021-11-07 01:36:12,598 - mmdet - INFO - Iter [29250/40000]	lr: 2.000e-02, eta: 5:42:34, time: 1.677, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0329, loss_cls: 0.0720, acc: 97.1727, loss_bbox: 0.1508, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1549, acc_unlabeled: 91.9026, loss_bbox_unlabeled: 0.1721, losses_cls_ig_unlabeled: 0.1337, pseudo_num: 1.6493, pseudo_num_ig: 6.0562, pseudo_num_mining: 0.8431, pseudo_num(acc): 0.7756, pseudo_num ig(acc): 0.3899, loss: 0.9021
2021-11-07 01:38:57,235 - mmdet - INFO - Iter [29300/40000]	lr: 2.000e-02, eta: 5:41:24, time: 3.292, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0336, loss_cls: 0.0717, acc: 97.1775, loss_bbox: 0.1509, loss_rpn_cls_unlabeled: 0.0803, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1532, acc_unlabeled: 92.0807, loss_bbox_unlabeled: 0.1700, losses_cls_ig_unlabeled: 0.1311, pseudo_num: 1.6490, pseudo_num_ig: 6.0561, pseudo_num_mining: 0.8435, pseudo_num(acc): 0.7757, pseudo_num ig(acc): 0.3899, loss: 0.8919
2021-11-07 01:40:21,588 - mmdet - INFO - Iter [29350/40000]	lr: 2.000e-02, eta: 5:39:44, time: 1.687, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0333, loss_cls: 0.0737, acc: 97.0981, loss_bbox: 0.1506, loss_rpn_cls_unlabeled: 0.0792, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1563, acc_unlabeled: 91.9081, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.1348, pseudo_num: 1.6488, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8440, pseudo_num(acc): 0.7758, pseudo_num ig(acc): 0.3900, loss: 0.9064
2021-11-07 01:41:48,122 - mmdet - INFO - Iter [29400/40000]	lr: 2.000e-02, eta: 5:38:05, time: 1.730, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0320, loss_cls: 0.0698, acc: 97.2617, loss_bbox: 0.1461, loss_rpn_cls_unlabeled: 0.0812, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1498, acc_unlabeled: 91.9893, loss_bbox_unlabeled: 0.1676, losses_cls_ig_unlabeled: 0.1353, pseudo_num: 1.6486, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8445, pseudo_num(acc): 0.7759, pseudo_num ig(acc): 0.3900, loss: 0.8861
2021-11-07 01:43:11,943 - mmdet - INFO - Iter [29450/40000]	lr: 2.000e-02, eta: 5:36:25, time: 1.679, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0325, loss_cls: 0.0716, acc: 97.2423, loss_bbox: 0.1486, loss_rpn_cls_unlabeled: 0.0812, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1540, acc_unlabeled: 92.0629, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1330, pseudo_num: 1.6484, pseudo_num_ig: 6.0558, pseudo_num_mining: 0.8451, pseudo_num(acc): 0.7759, pseudo_num ig(acc): 0.3900, loss: 0.8993
2021-11-07 01:44:32,875 - mmdet - INFO - pseudo pos: 0.98(57316.0-person) 0.87(1579.0-bicycle) 0.92(8455.0-car) 0.98(1726.0-motorcycle) 0.99(747.0-airplane) 0.99(1181.0-bus) 0.98(1176.0-train) 0.70(2055.0-truck) 0.66(2335.0-boat) 0.87(3048.0-traffic light) 0.99(395.0-fire hydrant) 0.95(435.0-stop sign) 0.76(373.0-parking meter) 0.65(1989.0-bench) 0.93(1643.0-bird) 0.96(1044.0-cat) 0.95(1025.0-dog) 0.97(1415.0-horse) 0.96(1093.0-sheep) 0.85(2186.0-cow) 0.99(861.0-elephant) 0.99(299.0-bear) 0.99(1530.0-zebra) 0.99(1500.0-giraffe) 0.43(1836.0-backpack) 0.81(2364.0-umbrella) 0.44(2852.0-handbag) 0.86(1310.0-tie) 0.69(1528.0-suitcase) 0.92(565.0-frisbee) 0.59(1391.0-skis) 0.24(920.0-snowboard) 0.96(1211.0-sports ball) 0.75(2063.0-kite) 0.82(677.0-baseball bat) 0.81(889.0-baseball glove) 0.97(1124.0-skateboard) 0.86(1220.0-surfboard) 0.95(704.0-tennis racket) 0.83(4642.0-bottle) 0.93(1358.0-wine glass) 0.80(5066.0-cup) 0.45(771.0-fork) 0.32(1965.0-knife) 0.29(1462.0-spoon) 0.72(4408.0-bowl) 0.61(2079.0-banana) 0.34(1962.0-apple) 0.44(1833.0-sandwich) 0.46(1035.0-orange) 0.66(1348.0-broccoli) 0.41(1721.0-carrot) 0.03(6756.0-hot dog) 0.95(1264.0-pizza) 0.72(1781.0-donut) 0.54(1376.0-cake) 0.63(10259.0-chair) 0.78(1227.0-couch) 0.64(2068.0-potted plant) 0.91(956.0-bed) 0.68(4385.0-dining table) 0.93(794.0-toilet) 0.95(1376.0-tv) 0.97(980.0-laptop) 0.96(310.0-mouse) 0.62(1020.0-remote) 0.73(615.0-keyboard) 0.67(1602.0-cell phone) 0.96(400.0-microwave) 0.77(952.0-oven) 0.14(57.0-toaster) 0.77(1312.0-sink) 0.92(577.0-refrigerator) 0.23(5081.0-book) 0.95(1197.0-clock) 0.88(1207.0-vase) 0.55(359.0-scissors) 0.94(583.0-teddy bear) 0.00(0.0-hair drier) 0.22(604.0-toothbrush)
2021-11-07 01:44:32,876 - mmdet - INFO - pseudo ig: 0.56(213035.0-person) 0.30(6207.0-bicycle) 0.45(34111.0-car) 0.49(6584.0-motorcycle) 0.73(2555.0-airplane) 0.61(4496.0-bus) 0.53(3791.0-train) 0.30(7795.0-truck) 0.28(9151.0-boat) 0.29(12209.0-traffic light) 0.57(1518.0-fire hydrant) 0.50(1739.0-stop sign) 0.22(1177.0-parking meter) 0.18(7523.0-bench) 0.32(5846.0-bird) 0.70(3648.0-cat) 0.62(3624.0-dog) 0.52(5396.0-horse) 0.70(4241.0-sheep) 0.34(8871.0-cow) 0.80(3610.0-elephant) 0.62(1096.0-bear) 0.50(5869.0-zebra) 0.65(4797.0-giraffe) 0.18(7187.0-backpack) 0.32(9322.0-umbrella) 0.13(11689.0-handbag) 0.30(5267.0-tie) 0.21(5955.0-suitcase) 0.43(2290.0-frisbee) 0.27(5385.0-skis) 0.17(1912.0-snowboard) 0.34(5229.0-sports ball) 0.32(8083.0-kite) 0.27(2795.0-baseball bat) 0.27(3587.0-baseball glove) 0.44(4169.0-skateboard) 0.37(4664.0-surfboard) 0.68(2825.0-tennis racket) 0.33(19904.0-bottle) 0.37(5573.0-wine glass) 0.28(20518.0-cup) 0.23(3106.0-fork) 0.12(7749.0-knife) 0.10(6213.0-spoon) 0.26(17388.0-bowl) 0.22(8478.0-banana) 0.14(6631.0-apple) 0.23(4044.0-sandwich) 0.29(2730.0-orange) 0.33(5720.0-broccoli) 0.16(6989.0-carrot) 0.15(1198.0-hot dog) 0.47(4675.0-pizza) 0.27(6330.0-donut) 0.22(5051.0-cake) 0.20(40441.0-chair) 0.33(4586.0-couch) 0.28(8166.0-potted plant) 0.43(3452.0-bed) 0.30(13354.0-dining table) 0.59(3442.0-toilet) 0.49(4795.0-tv) 0.54(3572.0-laptop) 0.59(1116.0-mouse) 0.21(4259.0-remote) 0.47(2312.0-keyboard) 0.21(6112.0-cell phone) 0.36(1517.0-microwave) 0.24(3489.0-oven) 0.15(117.0-toaster) 0.37(4737.0-sink) 0.34(2078.0-refrigerator) 0.11(20255.0-book) 0.58(4498.0-clock) 0.35(4718.0-vase) 0.20(1420.0-scissors) 0.62(2322.0-teddy bear) 0.00(0.0-hair drier) 0.06(2063.0-toothbrush)
2021-11-07 01:44:33,244 - mmdet - INFO - pseudo gt: 258169.0 7027.0 43091.0 8985.0 5169.0 6240.0 4511.0 9895.0 10491.0 12568.0 1862.0 2014.0 1267.0 9949.0 10238.0 4714.0 5471.0 6813.0 9567.0 8206.0 5663.0 1306.0 5331.0 5321.0 8928.0 10934.0 12600.0 6375.0 6232.0 2699.0 6514.0 2617.0 6535.0 8839.0 3283.0 3635.0 5561.0 5866.0 4812.0 23784.0 7810.0 20680.0 5485.0 7772.0 6069.0 14132.0 9131.0 5953.0 4215.0 6106.0 7004.0 7903.0 2925.0 5947.0 6475.0 6116.0 38198.0 5758.0 8670.0 4191.0 15695.0 4118.0 5944.0 5112.0 2333.0 5874.0 2837.0 6463.0 1563.0 3191.0 221.0 5492.0 2581.0 24361.0 6214.0 6370.0 1485.0 4641.0 190.0 1982.0
2021-11-07 01:44:33,244 - mmdet - INFO - pseudo mining: 47173.0 164.0 6268.0 629.0 638.0 945.0 562.0 256.0 480.0 1482.0 520.0 1079.0 18.0 46.0 280.0 855.0 466.0 902.0 1916.0 620.0 1689.0 326.0 1473.0 1720.0 79.0 848.0 64.0 253.0 66.0 565.0 134.0 26.0 1530.0 1923.0 392.0 608.0 504.0 262.0 1401.0 1796.0 310.0 1750.0 18.0 76.0 37.0 1524.0 238.0 235.0 105.0 662.0 733.0 302.0 1.0 599.0 889.0 137.0 208.0 125.0 601.0 116.0 327.0 1399.0 1333.0 660.0 483.0 103.0 586.0 381.0 204.0 121.0 3.0 827.0 110.0 241.0 2637.0 154.0 6.0 689.0 0.0 1.0
2021-11-07 01:44:34,525 - mmdet - INFO - Iter [29500/40000]	lr: 2.000e-02, eta: 5:34:45, time: 1.651, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0335, loss_cls: 0.0697, acc: 97.2593, loss_bbox: 0.1463, loss_rpn_cls_unlabeled: 0.0849, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1639, acc_unlabeled: 91.7511, loss_bbox_unlabeled: 0.1862, losses_cls_ig_unlabeled: 0.1339, pseudo_num: 1.6483, pseudo_num_ig: 6.0558, pseudo_num_mining: 0.8457, pseudo_num(acc): 0.7760, pseudo_num ig(acc): 0.3900, loss: 0.9221
2021-11-07 01:45:58,353 - mmdet - INFO - Iter [29550/40000]	lr: 2.000e-02, eta: 5:33:05, time: 1.674, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0338, loss_cls: 0.0723, acc: 97.1637, loss_bbox: 0.1504, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0964, loss_cls_unlabeled: 0.1543, acc_unlabeled: 91.9728, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1347, pseudo_num: 1.6482, pseudo_num_ig: 6.0560, pseudo_num_mining: 0.8462, pseudo_num(acc): 0.7761, pseudo_num ig(acc): 0.3901, loss: 0.9116
2021-11-07 01:47:23,639 - mmdet - INFO - Iter [29600/40000]	lr: 2.000e-02, eta: 5:31:26, time: 1.709, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0317, loss_cls: 0.0699, acc: 97.2836, loss_bbox: 0.1463, loss_rpn_cls_unlabeled: 0.0822, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1637, acc_unlabeled: 91.7780, loss_bbox_unlabeled: 0.1766, losses_cls_ig_unlabeled: 0.1344, pseudo_num: 1.6480, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8467, pseudo_num(acc): 0.7761, pseudo_num ig(acc): 0.3901, loss: 0.9068
2021-11-07 01:48:46,820 - mmdet - INFO - Iter [29650/40000]	lr: 2.000e-02, eta: 5:29:46, time: 1.662, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0318, loss_cls: 0.0704, acc: 97.2635, loss_bbox: 0.1454, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0979, loss_cls_unlabeled: 0.1571, acc_unlabeled: 91.7605, loss_bbox_unlabeled: 0.1784, losses_cls_ig_unlabeled: 0.1373, pseudo_num: 1.6479, pseudo_num_ig: 6.0563, pseudo_num_mining: 0.8473, pseudo_num(acc): 0.7762, pseudo_num ig(acc): 0.3901, loss: 0.9119
2021-11-07 01:50:10,457 - mmdet - INFO - Iter [29700/40000]	lr: 2.000e-02, eta: 5:28:06, time: 1.672, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0322, loss_cls: 0.0692, acc: 97.3069, loss_bbox: 0.1428, loss_rpn_cls_unlabeled: 0.0796, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1519, acc_unlabeled: 91.7554, loss_bbox_unlabeled: 0.1674, losses_cls_ig_unlabeled: 0.1362, pseudo_num: 1.6477, pseudo_num_ig: 6.0562, pseudo_num_mining: 0.8477, pseudo_num(acc): 0.7763, pseudo_num ig(acc): 0.3901, loss: 0.8833
2021-11-07 01:51:34,715 - mmdet - INFO - Iter [29750/40000]	lr: 2.000e-02, eta: 5:26:26, time: 1.685, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0314, loss_cls: 0.0693, acc: 97.3016, loss_bbox: 0.1433, loss_rpn_cls_unlabeled: 0.0781, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1497, acc_unlabeled: 91.9442, loss_bbox_unlabeled: 0.1665, losses_cls_ig_unlabeled: 0.1333, pseudo_num: 1.6474, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8482, pseudo_num(acc): 0.7763, pseudo_num ig(acc): 0.3901, loss: 0.8735
2021-11-07 01:52:59,982 - mmdet - INFO - Iter [29800/40000]	lr: 2.000e-02, eta: 5:24:47, time: 1.706, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0333, loss_cls: 0.0731, acc: 97.1547, loss_bbox: 0.1479, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0897, loss_cls_unlabeled: 0.1616, acc_unlabeled: 91.9962, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1283, pseudo_num: 1.6471, pseudo_num_ig: 6.0557, pseudo_num_mining: 0.8486, pseudo_num(acc): 0.7764, pseudo_num ig(acc): 0.3902, loss: 0.9022
2021-11-07 01:54:24,503 - mmdet - INFO - Iter [29850/40000]	lr: 2.000e-02, eta: 5:23:08, time: 1.693, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0329, loss_cls: 0.0700, acc: 97.2317, loss_bbox: 0.1464, loss_rpn_cls_unlabeled: 0.0816, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1570, acc_unlabeled: 92.0604, loss_bbox_unlabeled: 0.1709, losses_cls_ig_unlabeled: 0.1306, pseudo_num: 1.6469, pseudo_num_ig: 6.0553, pseudo_num_mining: 0.8490, pseudo_num(acc): 0.7764, pseudo_num ig(acc): 0.3902, loss: 0.8915
2021-11-07 01:55:48,365 - mmdet - INFO - Iter [29900/40000]	lr: 2.000e-02, eta: 5:21:29, time: 1.676, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0332, loss_cls: 0.0734, acc: 97.1294, loss_bbox: 0.1519, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1615, acc_unlabeled: 91.8972, loss_bbox_unlabeled: 0.1729, losses_cls_ig_unlabeled: 0.1343, pseudo_num: 1.6468, pseudo_num_ig: 6.0550, pseudo_num_mining: 0.8494, pseudo_num(acc): 0.7765, pseudo_num ig(acc): 0.3902, loss: 0.9118
2021-11-07 01:57:14,486 - mmdet - INFO - Iter [29950/40000]	lr: 2.000e-02, eta: 5:19:50, time: 1.719, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0326, loss_cls: 0.0694, acc: 97.2792, loss_bbox: 0.1468, loss_rpn_cls_unlabeled: 0.0821, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1542, acc_unlabeled: 92.0631, loss_bbox_unlabeled: 0.1728, losses_cls_ig_unlabeled: 0.1284, pseudo_num: 1.6465, pseudo_num_ig: 6.0546, pseudo_num_mining: 0.8498, pseudo_num(acc): 0.7766, pseudo_num ig(acc): 0.3902, loss: 0.8870
2021-11-07 01:58:37,248 - mmdet - INFO - pseudo pos: 0.98(58228.0-person) 0.87(1609.0-bicycle) 0.92(8594.0-car) 0.98(1753.0-motorcycle) 0.99(758.0-airplane) 0.99(1203.0-bus) 0.98(1192.0-train) 0.70(2084.0-truck) 0.66(2371.0-boat) 0.87(3116.0-traffic light) 0.99(397.0-fire hydrant) 0.95(442.0-stop sign) 0.76(377.0-parking meter) 0.65(2020.0-bench) 0.93(1667.0-bird) 0.96(1057.0-cat) 0.95(1037.0-dog) 0.97(1440.0-horse) 0.96(1126.0-sheep) 0.86(2216.0-cow) 0.99(864.0-elephant) 0.99(302.0-bear) 0.99(1560.0-zebra) 0.99(1528.0-giraffe) 0.43(1865.0-backpack) 0.81(2398.0-umbrella) 0.43(2893.0-handbag) 0.87(1328.0-tie) 0.69(1555.0-suitcase) 0.92(574.0-frisbee) 0.59(1433.0-skis) 0.25(926.0-snowboard) 0.96(1232.0-sports ball) 0.75(2083.0-kite) 0.82(686.0-baseball bat) 0.81(902.0-baseball glove) 0.97(1147.0-skateboard) 0.86(1252.0-surfboard) 0.95(716.0-tennis racket) 0.83(4750.0-bottle) 0.93(1396.0-wine glass) 0.80(5157.0-cup) 0.45(780.0-fork) 0.33(1996.0-knife) 0.29(1486.0-spoon) 0.72(4487.0-bowl) 0.61(2091.0-banana) 0.34(1999.0-apple) 0.44(1840.0-sandwich) 0.46(1050.0-orange) 0.67(1359.0-broccoli) 0.41(1744.0-carrot) 0.03(6765.0-hot dog) 0.94(1285.0-pizza) 0.72(1828.0-donut) 0.54(1388.0-cake) 0.63(10451.0-chair) 0.78(1245.0-couch) 0.64(2105.0-potted plant) 0.91(979.0-bed) 0.68(4450.0-dining table) 0.93(819.0-toilet) 0.95(1402.0-tv) 0.97(992.0-laptop) 0.96(315.0-mouse) 0.62(1037.0-remote) 0.74(627.0-keyboard) 0.67(1627.0-cell phone) 0.96(407.0-microwave) 0.77(971.0-oven) 0.14(57.0-toaster) 0.77(1347.0-sink) 0.92(583.0-refrigerator) 0.23(5161.0-book) 0.95(1216.0-clock) 0.88(1230.0-vase) 0.55(369.0-scissors) 0.94(603.0-teddy bear) 0.00(0.0-hair drier) 0.22(608.0-toothbrush)
2021-11-07 01:58:37,249 - mmdet - INFO - pseudo ig: 0.56(216817.0-person) 0.30(6327.0-bicycle) 0.46(34667.0-car) 0.49(6740.0-motorcycle) 0.73(2607.0-airplane) 0.61(4547.0-bus) 0.53(3846.0-train) 0.30(7906.0-truck) 0.28(9303.0-boat) 0.29(12436.0-traffic light) 0.57(1538.0-fire hydrant) 0.50(1769.0-stop sign) 0.22(1188.0-parking meter) 0.18(7645.0-bench) 0.32(5909.0-bird) 0.70(3702.0-cat) 0.62(3693.0-dog) 0.52(5498.0-horse) 0.71(4295.0-sheep) 0.34(9015.0-cow) 0.80(3669.0-elephant) 0.62(1123.0-bear) 0.50(5980.0-zebra) 0.65(4874.0-giraffe) 0.18(7294.0-backpack) 0.32(9465.0-umbrella) 0.13(11868.0-handbag) 0.30(5344.0-tie) 0.21(6040.0-suitcase) 0.42(2329.0-frisbee) 0.28(5480.0-skis) 0.18(1960.0-snowboard) 0.34(5326.0-sports ball) 0.32(8201.0-kite) 0.27(2842.0-baseball bat) 0.27(3626.0-baseball glove) 0.43(4271.0-skateboard) 0.37(4738.0-surfboard) 0.69(2866.0-tennis racket) 0.33(20239.0-bottle) 0.37(5663.0-wine glass) 0.28(20830.0-cup) 0.23(3150.0-fork) 0.12(7877.0-knife) 0.10(6308.0-spoon) 0.26(17704.0-bowl) 0.22(8563.0-banana) 0.14(6722.0-apple) 0.23(4089.0-sandwich) 0.29(2764.0-orange) 0.33(5814.0-broccoli) 0.16(7096.0-carrot) 0.15(1209.0-hot dog) 0.47(4768.0-pizza) 0.27(6423.0-donut) 0.22(5139.0-cake) 0.20(41047.0-chair) 0.33(4658.0-couch) 0.28(8282.0-potted plant) 0.43(3515.0-bed) 0.30(13567.0-dining table) 0.59(3496.0-toilet) 0.49(4868.0-tv) 0.54(3627.0-laptop) 0.59(1133.0-mouse) 0.21(4339.0-remote) 0.47(2343.0-keyboard) 0.22(6210.0-cell phone) 0.36(1533.0-microwave) 0.24(3540.0-oven) 0.14(119.0-toaster) 0.37(4806.0-sink) 0.34(2093.0-refrigerator) 0.11(20599.0-book) 0.58(4587.0-clock) 0.35(4788.0-vase) 0.20(1449.0-scissors) 0.62(2347.0-teddy bear) 0.00(0.0-hair drier) 0.06(2097.0-toothbrush)
2021-11-07 01:58:37,249 - mmdet - INFO - pseudo gt: 262420.0 7126.0 43871.0 9206.0 5264.0 6323.0 4583.0 10022.0 10665.0 12767.0 1886.0 2052.0 1279.0 10126.0 10388.0 4788.0 5547.0 6930.0 9768.0 8344.0 5736.0 1334.0 5441.0 5392.0 9069.0 11103.0 12805.0 6484.0 6340.0 2746.0 6642.0 2685.0 6627.0 8973.0 3349.0 3696.0 5666.0 5964.0 4886.0 24212.0 7914.0 21071.0 5559.0 7864.0 6177.0 14377.0 9234.0 6039.0 4275.0 6231.0 7099.0 8029.0 2969.0 6068.0 6639.0 6202.0 38837.0 5857.0 8785.0 4262.0 15981.0 4188.0 6051.0 5178.0 2363.0 5962.0 2886.0 6570.0 1592.0 3245.0 229.0 5596.0 2632.0 24740.0 6311.0 6460.0 1516.0 4745.0 193.0 2029.0
2021-11-07 01:58:37,250 - mmdet - INFO - pseudo mining: 48219.0 166.0 6409.0 653.0 661.0 963.0 572.0 259.0 495.0 1510.0 534.0 1101.0 20.0 48.0 280.0 872.0 478.0 926.0 1952.0 654.0 1717.0 343.0 1502.0 1744.0 81.0 856.0 64.0 267.0 68.0 579.0 138.0 26.0 1561.0 1965.0 404.0 618.0 514.0 270.0 1429.0 1835.0 314.0 1789.0 20.0 77.0 38.0 1563.0 243.0 241.0 107.0 672.0 745.0 328.0 1.0 619.0 929.0 142.0 212.0 129.0 615.0 119.0 336.0 1425.0 1364.0 680.0 495.0 107.0 603.0 389.0 209.0 123.0 3.0 850.0 115.0 255.0 2696.0 158.0 6.0 706.0 0.0 1.0
2021-11-07 01:58:38,747 - mmdet - INFO - Saving checkpoint at 30000 iterations
2021-11-07 01:59:31,093 - mmdet - INFO - Evaluating bbox...
2021-11-07 02:00:35,294 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.380 | bicycle      | 0.173 | car            | 0.296 |
| motorcycle    | 0.233 | airplane     | 0.335 | bus            | 0.454 |
| train         | 0.383 | truck        | 0.163 | boat           | 0.112 |
| traffic light | 0.188 | fire hydrant | 0.446 | stop sign      | 0.454 |
| parking meter | 0.340 | bench        | 0.124 | bird           | 0.177 |
| cat           | 0.382 | dog          | 0.356 | horse          | 0.360 |
| sheep         | 0.265 | cow          | 0.330 | elephant       | 0.431 |
| bear          | 0.481 | zebra        | 0.458 | giraffe        | 0.515 |
| backpack      | 0.052 | umbrella     | 0.186 | handbag        | 0.048 |
| tie           | 0.175 | suitcase     | 0.103 | frisbee        | 0.383 |
| skis          | 0.088 | snowboard    | 0.071 | sports ball    | 0.275 |
| kite          | 0.211 | baseball bat | 0.108 | baseball glove | 0.188 |
| skateboard    | 0.260 | surfboard    | 0.182 | tennis racket  | 0.249 |
| bottle        | 0.235 | wine glass   | 0.202 | cup            | 0.237 |
| fork          | 0.063 | knife        | 0.028 | spoon          | 0.032 |
| bowl          | 0.246 | banana       | 0.084 | apple          | 0.078 |
| sandwich      | 0.178 | orange       | 0.124 | broccoli       | 0.134 |
| carrot        | 0.041 | hot dog      | 0.064 | pizza          | 0.329 |
| donut         | 0.186 | cake         | 0.092 | chair          | 0.118 |
| couch         | 0.220 | potted plant | 0.097 | bed            | 0.275 |
| dining table  | 0.132 | toilet       | 0.380 | tv             | 0.379 |
| laptop        | 0.384 | mouse        | 0.419 | remote         | 0.056 |
| keyboard      | 0.247 | cell phone   | 0.176 | microwave      | 0.320 |
| oven          | 0.156 | toaster      | 0.055 | sink           | 0.159 |
| refrigerator  | 0.349 | book         | 0.019 | clock          | 0.385 |
| vase          | 0.192 | scissors     | 0.103 | teddy bear     | 0.229 |
| hair drier    | 0.000 | toothbrush   | 0.048 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 02:01:26,588 - mmdet - INFO - Evaluating bbox...
2021-11-07 02:02:26,401 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.398 | bicycle      | 0.185 | car            | 0.316 |
| motorcycle    | 0.248 | airplane     | 0.342 | bus            | 0.502 |
| train         | 0.428 | truck        | 0.152 | boat           | 0.132 |
| traffic light | 0.216 | fire hydrant | 0.487 | stop sign      | 0.478 |
| parking meter | 0.377 | bench        | 0.137 | bird           | 0.182 |
| cat           | 0.429 | dog          | 0.400 | horse          | 0.395 |
| sheep         | 0.306 | cow          | 0.367 | elephant       | 0.437 |
| bear          | 0.507 | zebra        | 0.475 | giraffe        | 0.513 |
| backpack      | 0.054 | umbrella     | 0.205 | handbag        | 0.051 |
| tie           | 0.193 | suitcase     | 0.121 | frisbee        | 0.442 |
| skis          | 0.085 | snowboard    | 0.060 | sports ball    | 0.307 |
| kite          | 0.224 | baseball bat | 0.125 | baseball glove | 0.213 |
| skateboard    | 0.301 | surfboard    | 0.202 | tennis racket  | 0.279 |
| bottle        | 0.245 | wine glass   | 0.209 | cup            | 0.259 |
| fork          | 0.059 | knife        | 0.042 | spoon          | 0.032 |
| bowl          | 0.286 | banana       | 0.090 | apple          | 0.088 |
| sandwich      | 0.202 | orange       | 0.149 | broccoli       | 0.144 |
| carrot        | 0.056 | hot dog      | 0.066 | pizza          | 0.345 |
| donut         | 0.213 | cake         | 0.118 | chair          | 0.121 |
| couch         | 0.240 | potted plant | 0.121 | bed            | 0.304 |
| dining table  | 0.143 | toilet       | 0.423 | tv             | 0.414 |
| laptop        | 0.412 | mouse        | 0.464 | remote         | 0.077 |
| keyboard      | 0.264 | cell phone   | 0.197 | microwave      | 0.356 |
| oven          | 0.173 | toaster      | 0.051 | sink           | 0.180 |
| refrigerator  | 0.344 | book         | 0.024 | clock          | 0.404 |
| vase          | 0.217 | scissors     | 0.150 | teddy bear     | 0.269 |
| hair drier    | 0.000 | toothbrush   | 0.054 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 02:03:51,167 - mmdet - INFO - current percent: 0.2
2021-11-07 02:03:51,167 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.96-bench) (0.97-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.95-backpack) (0.99-umbrella) (0.85-handbag) (0.99-tie) (0.96-suitcase) (1.00-frisbee) (0.97-skis) (0.81-snowboard) (1.00-sports ball) (0.99-kite) (1.00-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (1.00-wine glass) (0.99-cup) (0.94-fork) (0.92-knife) (0.89-spoon) (0.99-bowl) (0.89-banana) (0.96-apple) (0.98-sandwich) (0.99-orange) (0.99-broccoli) (0.95-carrot) (0.96-hot dog) (1.00-pizza) (0.99-donut) (0.98-cake) (0.96-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.96-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.32-toaster) (1.00-sink) (1.00-refrigerator) (0.94-book) (1.00-clock) (0.99-vase) (0.98-scissors) (1.00-teddy bear) (0.05-hair drier) (0.91-toothbrush)
2021-11-07 02:03:51,167 - mmdet - INFO - update score thr (ignore): (0.14-person) (0.12-bicycle) (0.26-car) (0.13-motorcycle) (0.62-airplane) (0.41-bus) (0.26-train) (0.29-truck) (0.24-boat) (0.24-traffic light) (0.54-fire hydrant) (0.43-stop sign) (0.10-parking meter) (0.20-bench) (0.05-bird) (0.32-cat) (0.50-dog) (0.21-horse) (0.78-sheep) (0.31-cow) (0.52-elephant) (0.57-bear) (0.05-zebra) (0.25-giraffe) (0.32-backpack) (0.09-umbrella) (0.16-handbag) (0.13-tie) (0.20-suitcase) (0.53-frisbee) (0.25-skis) (0.15-snowboard) (0.44-sports ball) (0.49-kite) (0.36-baseball bat) (0.50-baseball glove) (0.22-skateboard) (0.18-surfboard) (0.70-tennis racket) (0.36-bottle) (0.12-wine glass) (0.30-cup) (0.06-fork) (0.26-knife) (0.15-spoon) (0.36-bowl) (0.05-banana) (0.21-apple) (0.26-sandwich) (0.61-orange) (0.52-broccoli) (0.48-carrot) (0.48-hot dog) (0.29-pizza) (0.54-donut) (0.26-cake) (0.14-chair) (0.33-couch) (0.36-potted plant) (0.45-bed) (0.25-dining table) (0.59-toilet) (0.56-tv) (0.49-laptop) (0.55-mouse) (0.25-remote) (0.75-keyboard) (0.42-cell phone) (0.43-microwave) (0.28-oven) (0.07-toaster) (0.46-sink) (0.40-refrigerator) (0.24-book) (0.78-clock) (0.30-vase) (0.23-scissors) (0.84-teddy bear) (0.05-hair drier) (0.14-toothbrush)
2021-11-07 02:03:51,429 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 02:03:51,432 - mmdet - INFO - Iter [30000/40000]	lr: 2.000e-02, eta: 5:18:11, time: 1.709, data_time: 0.031, memory: 26488, bbox_mAP: 0.2410, bbox_mAP_50: 0.4170, bbox_mAP_75: 0.2500, bbox_mAP_s: 0.1180, bbox_mAP_m: 0.2670, bbox_mAP_l: 0.3230, bbox_mAP_copypaste: 0.241 0.417 0.250 0.118 0.267 0.323, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0334, loss_cls: 0.0705, acc: 97.2325, loss_bbox: 0.1475, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0942, loss_cls_unlabeled: 0.1609, acc_unlabeled: 91.6923, loss_bbox_unlabeled: 0.1800, losses_cls_ig_unlabeled: 0.1344, pseudo_num: 1.6463, pseudo_num_ig: 6.0546, pseudo_num_mining: 0.8504, pseudo_num(acc): 0.7766, pseudo_num ig(acc): 0.3902, loss: 0.9143
2021-11-07 02:05:17,186 - mmdet - INFO - Iter [30050/40000]	lr: 2.000e-02, eta: 5:18:16, time: 7.948, data_time: 6.261, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0334, loss_cls: 0.0727, acc: 97.1488, loss_bbox: 0.1498, loss_rpn_cls_unlabeled: 0.0791, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1465, acc_unlabeled: 91.9369, loss_bbox_unlabeled: 0.1657, losses_cls_ig_unlabeled: 0.1334, pseudo_num: 1.6461, pseudo_num_ig: 6.0547, pseudo_num_mining: 0.8508, pseudo_num(acc): 0.7767, pseudo_num ig(acc): 0.3902, loss: 0.8817
2021-11-07 02:06:41,500 - mmdet - INFO - Iter [30100/40000]	lr: 2.000e-02, eta: 5:16:36, time: 1.686, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0323, loss_cls: 0.0702, acc: 97.2625, loss_bbox: 0.1488, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1571, acc_unlabeled: 91.8329, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1385, pseudo_num: 1.6459, pseudo_num_ig: 6.0548, pseudo_num_mining: 0.8513, pseudo_num(acc): 0.7768, pseudo_num ig(acc): 0.3902, loss: 0.9105
2021-11-07 02:08:04,568 - mmdet - INFO - Iter [30150/40000]	lr: 2.000e-02, eta: 5:14:56, time: 1.661, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0324, loss_cls: 0.0697, acc: 97.2761, loss_bbox: 0.1466, loss_rpn_cls_unlabeled: 0.0836, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1538, acc_unlabeled: 91.9048, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.1363, pseudo_num: 1.6457, pseudo_num_ig: 6.0548, pseudo_num_mining: 0.8517, pseudo_num(acc): 0.7768, pseudo_num ig(acc): 0.3903, loss: 0.8982
2021-11-07 02:09:27,966 - mmdet - INFO - Iter [30200/40000]	lr: 2.000e-02, eta: 5:13:16, time: 1.669, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0304, loss_cls: 0.0699, acc: 97.2776, loss_bbox: 0.1443, loss_rpn_cls_unlabeled: 0.0797, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1545, acc_unlabeled: 91.7822, loss_bbox_unlabeled: 0.1772, losses_cls_ig_unlabeled: 0.1339, pseudo_num: 1.6456, pseudo_num_ig: 6.0549, pseudo_num_mining: 0.8522, pseudo_num(acc): 0.7769, pseudo_num ig(acc): 0.3903, loss: 0.8922
2021-11-07 02:10:53,584 - mmdet - INFO - Iter [30250/40000]	lr: 2.000e-02, eta: 5:11:37, time: 1.710, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0310, loss_cls: 0.0699, acc: 97.2822, loss_bbox: 0.1443, loss_rpn_cls_unlabeled: 0.0805, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1581, acc_unlabeled: 91.6852, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1356, pseudo_num: 1.6453, pseudo_num_ig: 6.0549, pseudo_num_mining: 0.8526, pseudo_num(acc): 0.7770, pseudo_num ig(acc): 0.3903, loss: 0.8960
2021-11-07 02:12:17,925 - mmdet - INFO - Iter [30300/40000]	lr: 2.000e-02, eta: 5:09:57, time: 1.690, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0336, loss_cls: 0.0721, acc: 97.1876, loss_bbox: 0.1486, loss_rpn_cls_unlabeled: 0.0803, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1537, acc_unlabeled: 91.9060, loss_bbox_unlabeled: 0.1717, losses_cls_ig_unlabeled: 0.1346, pseudo_num: 1.6452, pseudo_num_ig: 6.0549, pseudo_num_mining: 0.8531, pseudo_num(acc): 0.7771, pseudo_num ig(acc): 0.3903, loss: 0.8990
2021-11-07 02:13:44,466 - mmdet - INFO - Iter [30350/40000]	lr: 2.000e-02, eta: 5:08:18, time: 1.729, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0342, loss_cls: 0.0686, acc: 97.3220, loss_bbox: 0.1426, loss_rpn_cls_unlabeled: 0.0834, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1559, acc_unlabeled: 91.8529, loss_bbox_unlabeled: 0.1780, losses_cls_ig_unlabeled: 0.1350, pseudo_num: 1.6450, pseudo_num_ig: 6.0549, pseudo_num_mining: 0.8535, pseudo_num(acc): 0.7772, pseudo_num ig(acc): 0.3904, loss: 0.9002
2021-11-07 02:15:10,037 - mmdet - INFO - Iter [30400/40000]	lr: 2.000e-02, eta: 5:06:39, time: 1.712, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0316, loss_cls: 0.0671, acc: 97.3770, loss_bbox: 0.1395, loss_rpn_cls_unlabeled: 0.0847, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1511, acc_unlabeled: 92.1003, loss_bbox_unlabeled: 0.1669, losses_cls_ig_unlabeled: 0.1352, pseudo_num: 1.6448, pseudo_num_ig: 6.0548, pseudo_num_mining: 0.8540, pseudo_num(acc): 0.7772, pseudo_num ig(acc): 0.3904, loss: 0.8798
2021-11-07 02:16:34,107 - mmdet - INFO - Iter [30450/40000]	lr: 2.000e-02, eta: 5:05:00, time: 1.682, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0315, loss_cls: 0.0673, acc: 97.3568, loss_bbox: 0.1389, loss_rpn_cls_unlabeled: 0.0780, loss_rpn_bbox_unlabeled: 0.0991, loss_cls_unlabeled: 0.1555, acc_unlabeled: 91.5081, loss_bbox_unlabeled: 0.1723, losses_cls_ig_unlabeled: 0.1405, pseudo_num: 1.6447, pseudo_num_ig: 6.0550, pseudo_num_mining: 0.8545, pseudo_num(acc): 0.7773, pseudo_num ig(acc): 0.3904, loss: 0.8928
2021-11-07 02:17:58,495 - mmdet - INFO - pseudo pos: 0.98(59175.0-person) 0.87(1634.0-bicycle) 0.92(8724.0-car) 0.98(1789.0-motorcycle) 0.99(770.0-airplane) 0.99(1218.0-bus) 0.98(1208.0-train) 0.70(2114.0-truck) 0.66(2426.0-boat) 0.87(3201.0-traffic light) 0.99(400.0-fire hydrant) 0.94(450.0-stop sign) 0.76(382.0-parking meter) 0.65(2049.0-bench) 0.93(1706.0-bird) 0.96(1076.0-cat) 0.95(1055.0-dog) 0.97(1460.0-horse) 0.96(1138.0-sheep) 0.86(2261.0-cow) 0.99(880.0-elephant) 0.99(311.0-bear) 0.99(1586.0-zebra) 0.99(1538.0-giraffe) 0.43(1898.0-backpack) 0.80(2439.0-umbrella) 0.44(2954.0-handbag) 0.87(1347.0-tie) 0.68(1574.0-suitcase) 0.92(582.0-frisbee) 0.59(1452.0-skis) 0.25(933.0-snowboard) 0.96(1249.0-sports ball) 0.75(2116.0-kite) 0.82(692.0-baseball bat) 0.81(911.0-baseball glove) 0.97(1162.0-skateboard) 0.86(1270.0-surfboard) 0.95(719.0-tennis racket) 0.83(4828.0-bottle) 0.93(1415.0-wine glass) 0.80(5221.0-cup) 0.45(796.0-fork) 0.33(2015.0-knife) 0.29(1506.0-spoon) 0.71(4575.0-bowl) 0.61(2157.0-banana) 0.34(2039.0-apple) 0.44(1850.0-sandwich) 0.46(1062.0-orange) 0.66(1381.0-broccoli) 0.41(1775.0-carrot) 0.03(6765.0-hot dog) 0.94(1297.0-pizza) 0.72(1877.0-donut) 0.54(1411.0-cake) 0.63(10579.0-chair) 0.79(1258.0-couch) 0.64(2133.0-potted plant) 0.91(991.0-bed) 0.68(4517.0-dining table) 0.93(845.0-toilet) 0.95(1419.0-tv) 0.97(1010.0-laptop) 0.96(318.0-mouse) 0.62(1048.0-remote) 0.73(633.0-keyboard) 0.67(1652.0-cell phone) 0.96(410.0-microwave) 0.78(991.0-oven) 0.15(59.0-toaster) 0.77(1360.0-sink) 0.92(596.0-refrigerator) 0.23(5262.0-book) 0.95(1232.0-clock) 0.88(1251.0-vase) 0.55(375.0-scissors) 0.94(614.0-teddy bear) 0.00(0.0-hair drier) 0.22(613.0-toothbrush)
2021-11-07 02:17:58,495 - mmdet - INFO - pseudo ig: 0.56(220616.0-person) 0.30(6463.0-bicycle) 0.45(35270.0-car) 0.49(6892.0-motorcycle) 0.73(2660.0-airplane) 0.61(4625.0-bus) 0.53(3923.0-train) 0.30(8055.0-truck) 0.28(9482.0-boat) 0.29(12714.0-traffic light) 0.57(1564.0-fire hydrant) 0.50(1805.0-stop sign) 0.22(1201.0-parking meter) 0.18(7782.0-bench) 0.32(6018.0-bird) 0.70(3764.0-cat) 0.63(3751.0-dog) 0.53(5594.0-horse) 0.71(4339.0-sheep) 0.34(9157.0-cow) 0.80(3716.0-elephant) 0.62(1143.0-bear) 0.51(6073.0-zebra) 0.65(4955.0-giraffe) 0.18(7419.0-backpack) 0.32(9639.0-umbrella) 0.13(12053.0-handbag) 0.30(5471.0-tie) 0.21(6134.0-suitcase) 0.43(2378.0-frisbee) 0.28(5560.0-skis) 0.18(1994.0-snowboard) 0.34(5443.0-sports ball) 0.33(8333.0-kite) 0.27(2875.0-baseball bat) 0.27(3694.0-baseball glove) 0.44(4337.0-skateboard) 0.37(4827.0-surfboard) 0.69(2899.0-tennis racket) 0.33(20565.0-bottle) 0.37(5746.0-wine glass) 0.28(21162.0-cup) 0.24(3212.0-fork) 0.12(8009.0-knife) 0.10(6398.0-spoon) 0.26(17988.0-bowl) 0.22(8767.0-banana) 0.14(6924.0-apple) 0.23(4146.0-sandwich) 0.29(2836.0-orange) 0.33(5903.0-broccoli) 0.16(7221.0-carrot) 0.15(1215.0-hot dog) 0.47(4831.0-pizza) 0.27(6581.0-donut) 0.22(5231.0-cake) 0.20(41548.0-chair) 0.33(4731.0-couch) 0.28(8418.0-potted plant) 0.44(3574.0-bed) 0.30(13781.0-dining table) 0.59(3552.0-toilet) 0.49(4953.0-tv) 0.54(3680.0-laptop) 0.59(1148.0-mouse) 0.21(4388.0-remote) 0.47(2382.0-keyboard) 0.21(6312.0-cell phone) 0.36(1562.0-microwave) 0.24(3613.0-oven) 0.15(123.0-toaster) 0.37(4903.0-sink) 0.34(2136.0-refrigerator) 0.11(20898.0-book) 0.58(4658.0-clock) 0.35(4860.0-vase) 0.20(1476.0-scissors) 0.63(2377.0-teddy bear) 0.00(0.0-hair drier) 0.06(2113.0-toothbrush)
2021-11-07 02:17:58,496 - mmdet - INFO - pseudo gt: 266716.0 7310.0 44518.0 9386.0 5381.0 6445.0 4651.0 10215.0 10848.0 13046.0 1919.0 2081.0 1302.0 10305.0 10511.0 4856.0 5640.0 7041.0 9842.0 8502.0 5810.0 1362.0 5535.0 5480.0 9242.0 11269.0 13007.0 6618.0 6424.0 2822.0 6746.0 2744.0 6734.0 9144.0 3393.0 3744.0 5773.0 6058.0 4947.0 24611.0 8042.0 21415.0 5628.0 7990.0 6274.0 14592.0 9428.0 6136.0 4326.0 6414.0 7198.0 8171.0 2991.0 6141.0 6741.0 6362.0 39304.0 5938.0 8929.0 4329.0 16212.0 4253.0 6134.0 5273.0 2388.0 6035.0 2921.0 6686.0 1621.0 3304.0 241.0 5708.0 2680.0 25057.0 6401.0 6584.0 1544.0 4827.0 196.0 2069.0
2021-11-07 02:17:58,496 - mmdet - INFO - pseudo mining: 49164.0 175.0 6539.0 668.0 681.0 988.0 586.0 270.0 506.0 1553.0 546.0 1121.0 20.0 50.0 280.0 891.0 492.0 948.0 1978.0 678.0 1737.0 350.0 1537.0 1799.0 82.0 871.0 64.0 279.0 70.0 599.0 148.0 26.0 1607.0 2004.0 411.0 632.0 529.0 273.0 1451.0 1881.0 323.0 1840.0 21.0 78.0 38.0 1610.0 243.0 257.0 109.0 703.0 766.0 336.0 1.0 627.0 975.0 152.0 225.0 133.0 632.0 125.0 343.0 1452.0 1396.0 704.0 495.0 112.0 626.0 398.0 217.0 133.0 3.0 890.0 120.0 261.0 2745.0 166.0 6.0 718.0 0.0 2.0
2021-11-07 02:18:00,058 - mmdet - INFO - Iter [30500/40000]	lr: 2.000e-02, eta: 5:03:21, time: 1.717, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0328, loss_cls: 0.0721, acc: 97.1978, loss_bbox: 0.1506, loss_rpn_cls_unlabeled: 0.0862, loss_rpn_bbox_unlabeled: 0.0983, loss_cls_unlabeled: 0.1584, acc_unlabeled: 91.8212, loss_bbox_unlabeled: 0.1736, losses_cls_ig_unlabeled: 0.1399, pseudo_num: 1.6445, pseudo_num_ig: 6.0556, pseudo_num_mining: 0.8550, pseudo_num(acc): 0.7774, pseudo_num ig(acc): 0.3904, loss: 0.9222
2021-11-07 02:19:24,024 - mmdet - INFO - Iter [30550/40000]	lr: 2.000e-02, eta: 5:01:41, time: 1.684, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0332, loss_cls: 0.0714, acc: 97.1936, loss_bbox: 0.1489, loss_rpn_cls_unlabeled: 0.0837, loss_rpn_bbox_unlabeled: 0.0968, loss_cls_unlabeled: 0.1547, acc_unlabeled: 91.9849, loss_bbox_unlabeled: 0.1772, losses_cls_ig_unlabeled: 0.1355, pseudo_num: 1.6445, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8555, pseudo_num(acc): 0.7774, pseudo_num ig(acc): 0.3904, loss: 0.9121
2021-11-07 02:20:48,243 - mmdet - INFO - Iter [30600/40000]	lr: 2.000e-02, eta: 5:00:02, time: 1.683, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0334, loss_cls: 0.0693, acc: 97.3005, loss_bbox: 0.1455, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0949, loss_cls_unlabeled: 0.1531, acc_unlabeled: 91.9110, loss_bbox_unlabeled: 0.1649, losses_cls_ig_unlabeled: 0.1377, pseudo_num: 1.6443, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8560, pseudo_num(acc): 0.7775, pseudo_num ig(acc): 0.3904, loss: 0.8921
2021-11-07 02:22:13,165 - mmdet - INFO - Iter [30650/40000]	lr: 2.000e-02, eta: 4:58:23, time: 1.698, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0323, loss_cls: 0.0707, acc: 97.2347, loss_bbox: 0.1456, loss_rpn_cls_unlabeled: 0.0823, loss_rpn_bbox_unlabeled: 0.0935, loss_cls_unlabeled: 0.1582, acc_unlabeled: 91.6196, loss_bbox_unlabeled: 0.1772, losses_cls_ig_unlabeled: 0.1368, pseudo_num: 1.6441, pseudo_num_ig: 6.0560, pseudo_num_mining: 0.8564, pseudo_num(acc): 0.7776, pseudo_num ig(acc): 0.3904, loss: 0.9074
2021-11-07 02:23:38,366 - mmdet - INFO - Iter [30700/40000]	lr: 2.000e-02, eta: 4:56:44, time: 1.705, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0338, loss_cls: 0.0729, acc: 97.1630, loss_bbox: 0.1481, loss_rpn_cls_unlabeled: 0.0861, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1625, acc_unlabeled: 91.8936, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1323, pseudo_num: 1.6440, pseudo_num_ig: 6.0560, pseudo_num_mining: 0.8568, pseudo_num(acc): 0.7776, pseudo_num ig(acc): 0.3905, loss: 0.9167
2021-11-07 02:25:02,901 - mmdet - INFO - Iter [30750/40000]	lr: 2.000e-02, eta: 4:55:05, time: 1.688, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0333, loss_cls: 0.0704, acc: 97.2532, loss_bbox: 0.1451, loss_rpn_cls_unlabeled: 0.0783, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1504, acc_unlabeled: 91.9283, loss_bbox_unlabeled: 0.1690, losses_cls_ig_unlabeled: 0.1365, pseudo_num: 1.6439, pseudo_num_ig: 6.0561, pseudo_num_mining: 0.8573, pseudo_num(acc): 0.7777, pseudo_num ig(acc): 0.3905, loss: 0.8858
2021-11-07 02:26:26,583 - mmdet - INFO - Iter [30800/40000]	lr: 2.000e-02, eta: 4:53:26, time: 1.677, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0314, loss_cls: 0.0688, acc: 97.3024, loss_bbox: 0.1438, loss_rpn_cls_unlabeled: 0.0821, loss_rpn_bbox_unlabeled: 0.0914, loss_cls_unlabeled: 0.1501, acc_unlabeled: 92.2222, loss_bbox_unlabeled: 0.1665, losses_cls_ig_unlabeled: 0.1338, pseudo_num: 1.6438, pseudo_num_ig: 6.0562, pseudo_num_mining: 0.8578, pseudo_num(acc): 0.7778, pseudo_num ig(acc): 0.3905, loss: 0.8780
2021-11-07 02:27:50,332 - mmdet - INFO - Iter [30850/40000]	lr: 2.000e-02, eta: 4:51:46, time: 1.675, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0319, loss_cls: 0.0685, acc: 97.2938, loss_bbox: 0.1432, loss_rpn_cls_unlabeled: 0.0826, loss_rpn_bbox_unlabeled: 0.0899, loss_cls_unlabeled: 0.1545, acc_unlabeled: 92.1583, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1289, pseudo_num: 1.6438, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8582, pseudo_num(acc): 0.7779, pseudo_num ig(acc): 0.3905, loss: 0.8853
2021-11-07 02:29:14,914 - mmdet - INFO - Iter [30900/40000]	lr: 2.000e-02, eta: 4:50:07, time: 1.691, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0314, loss_cls: 0.0678, acc: 97.3254, loss_bbox: 0.1413, loss_rpn_cls_unlabeled: 0.0859, loss_rpn_bbox_unlabeled: 0.0993, loss_cls_unlabeled: 0.1585, acc_unlabeled: 91.7944, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1333, pseudo_num: 1.6438, pseudo_num_ig: 6.0560, pseudo_num_mining: 0.8587, pseudo_num(acc): 0.7780, pseudo_num ig(acc): 0.3905, loss: 0.9019
2021-11-07 02:30:38,919 - mmdet - INFO - Iter [30950/40000]	lr: 2.000e-02, eta: 4:48:28, time: 1.682, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0308, loss_cls: 0.0693, acc: 97.2806, loss_bbox: 0.1457, loss_rpn_cls_unlabeled: 0.0805, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1557, acc_unlabeled: 91.9620, loss_bbox_unlabeled: 0.1768, losses_cls_ig_unlabeled: 0.1304, pseudo_num: 1.6437, pseudo_num_ig: 6.0562, pseudo_num_mining: 0.8591, pseudo_num(acc): 0.7780, pseudo_num ig(acc): 0.3905, loss: 0.8945
2021-11-07 02:32:00,868 - mmdet - INFO - pseudo pos: 0.98(60319.0-person) 0.87(1659.0-bicycle) 0.92(8883.0-car) 0.98(1825.0-motorcycle) 0.99(776.0-airplane) 0.99(1236.0-bus) 0.98(1234.0-train) 0.70(2143.0-truck) 0.67(2462.0-boat) 0.87(3252.0-traffic light) 1.00(407.0-fire hydrant) 0.94(460.0-stop sign) 0.76(384.0-parking meter) 0.65(2072.0-bench) 0.93(1737.0-bird) 0.96(1100.0-cat) 0.95(1080.0-dog) 0.97(1476.0-horse) 0.96(1151.0-sheep) 0.86(2328.0-cow) 0.99(900.0-elephant) 0.99(317.0-bear) 0.99(1623.0-zebra) 0.99(1555.0-giraffe) 0.43(1925.0-backpack) 0.81(2472.0-umbrella) 0.44(3014.0-handbag) 0.87(1364.0-tie) 0.69(1623.0-suitcase) 0.92(590.0-frisbee) 0.60(1480.0-skis) 0.26(948.0-snowboard) 0.96(1262.0-sports ball) 0.75(2152.0-kite) 0.82(701.0-baseball bat) 0.81(928.0-baseball glove) 0.97(1182.0-skateboard) 0.86(1288.0-surfboard) 0.95(724.0-tennis racket) 0.83(4894.0-bottle) 0.93(1431.0-wine glass) 0.80(5298.0-cup) 0.45(805.0-fork) 0.33(2043.0-knife) 0.29(1533.0-spoon) 0.71(4648.0-bowl) 0.60(2232.0-banana) 0.34(2061.0-apple) 0.44(1859.0-sandwich) 0.47(1065.0-orange) 0.67(1405.0-broccoli) 0.41(1823.0-carrot) 0.03(6768.0-hot dog) 0.94(1310.0-pizza) 0.72(1895.0-donut) 0.54(1425.0-cake) 0.63(10710.0-chair) 0.78(1273.0-couch) 0.64(2158.0-potted plant) 0.91(1003.0-bed) 0.68(4568.0-dining table) 0.93(855.0-toilet) 0.95(1433.0-tv) 0.97(1020.0-laptop) 0.96(324.0-mouse) 0.62(1057.0-remote) 0.73(638.0-keyboard) 0.67(1673.0-cell phone) 0.96(418.0-microwave) 0.78(1009.0-oven) 0.15(59.0-toaster) 0.77(1368.0-sink) 0.92(610.0-refrigerator) 0.23(5332.0-book) 0.95(1245.0-clock) 0.88(1265.0-vase) 0.55(384.0-scissors) 0.94(618.0-teddy bear) 0.00(0.0-hair drier) 0.22(615.0-toothbrush)
2021-11-07 02:32:00,869 - mmdet - INFO - pseudo ig: 0.56(224604.0-person) 0.30(6612.0-bicycle) 0.45(35973.0-car) 0.50(7040.0-motorcycle) 0.73(2703.0-airplane) 0.61(4695.0-bus) 0.53(4004.0-train) 0.30(8191.0-truck) 0.28(9606.0-boat) 0.29(12951.0-traffic light) 0.57(1590.0-fire hydrant) 0.50(1850.0-stop sign) 0.22(1219.0-parking meter) 0.18(7894.0-bench) 0.32(6131.0-bird) 0.69(3843.0-cat) 0.63(3799.0-dog) 0.53(5643.0-horse) 0.71(4417.0-sheep) 0.34(9317.0-cow) 0.80(3786.0-elephant) 0.62(1158.0-bear) 0.51(6175.0-zebra) 0.65(5029.0-giraffe) 0.18(7556.0-backpack) 0.32(9836.0-umbrella) 0.13(12327.0-handbag) 0.30(5565.0-tie) 0.21(6254.0-suitcase) 0.43(2412.0-frisbee) 0.28(5644.0-skis) 0.18(2024.0-snowboard) 0.34(5509.0-sports ball) 0.33(8481.0-kite) 0.27(2925.0-baseball bat) 0.27(3749.0-baseball glove) 0.44(4429.0-skateboard) 0.37(4954.0-surfboard) 0.69(2954.0-tennis racket) 0.33(20917.0-bottle) 0.37(5811.0-wine glass) 0.28(21476.0-cup) 0.24(3243.0-fork) 0.12(8110.0-knife) 0.10(6490.0-spoon) 0.26(18239.0-bowl) 0.22(8956.0-banana) 0.14(7016.0-apple) 0.23(4206.0-sandwich) 0.29(2857.0-orange) 0.33(5999.0-broccoli) 0.16(7325.0-carrot) 0.15(1218.0-hot dog) 0.47(4912.0-pizza) 0.27(6684.0-donut) 0.22(5291.0-cake) 0.20(42095.0-chair) 0.33(4802.0-couch) 0.28(8526.0-potted plant) 0.44(3627.0-bed) 0.30(13968.0-dining table) 0.59(3619.0-toilet) 0.49(5042.0-tv) 0.55(3736.0-laptop) 0.59(1161.0-mouse) 0.22(4440.0-remote) 0.47(2424.0-keyboard) 0.21(6395.0-cell phone) 0.36(1583.0-microwave) 0.24(3670.0-oven) 0.15(126.0-toaster) 0.37(4986.0-sink) 0.34(2183.0-refrigerator) 0.11(21193.0-book) 0.58(4734.0-clock) 0.35(4904.0-vase) 0.20(1505.0-scissors) 0.63(2449.0-teddy bear) 0.00(0.0-hair drier) 0.06(2145.0-toothbrush)
2021-11-07 02:32:00,869 - mmdet - INFO - pseudo gt: 271358.0 7443.0 45350.0 9559.0 5464.0 6578.0 4737.0 10403.0 10998.0 13303.0 1950.0 2113.0 1317.0 10476.0 10630.0 4938.0 5725.0 7137.0 10012.0 8678.0 5915.0 1383.0 5642.0 5578.0 9443.0 11422.0 13273.0 6722.0 6578.0 2870.0 6851.0 2800.0 6832.0 9325.0 3441.0 3803.0 5885.0 6166.0 5033.0 24996.0 8114.0 21775.0 5712.0 8088.0 6367.0 14814.0 9563.0 6188.0 4384.0 6491.0 7311.0 8291.0 3023.0 6230.0 6834.0 6453.0 39808.0 6040.0 9053.0 4403.0 16448.0 4329.0 6224.0 5353.0 2420.0 6128.0 2971.0 6785.0 1653.0 3347.0 244.0 5807.0 2723.0 25392.0 6500.0 6678.0 1582.0 4953.0 197.0 2097.0
2021-11-07 02:32:00,869 - mmdet - INFO - pseudo mining: 50150.0 182.0 6697.0 682.0 692.0 1017.0 604.0 284.0 512.0 1603.0 559.0 1136.0 20.0 52.0 285.0 913.0 498.0 958.0 2028.0 709.0 1766.0 355.0 1569.0 1836.0 82.0 886.0 66.0 288.0 72.0 609.0 154.0 26.0 1631.0 2058.0 417.0 656.0 550.0 280.0 1488.0 1931.0 328.0 1889.0 21.0 79.0 39.0 1647.0 244.0 260.0 111.0 711.0 789.0 344.0 1.0 643.0 998.0 155.0 237.0 138.0 646.0 130.0 351.0 1496.0 1431.0 726.0 501.0 113.0 650.0 403.0 219.0 135.0 3.0 924.0 121.0 267.0 2810.0 167.0 7.0 763.0 0.0 2.0
2021-11-07 02:33:26,235 - mmdet - INFO - current percent: 0.2
2021-11-07 02:33:26,236 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.98-parking meter) (0.91-bench) (0.98-bird) (1.00-cat) (0.99-dog) (0.99-horse) (1.00-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.96-backpack) (0.99-umbrella) (0.90-handbag) (0.98-tie) (0.96-suitcase) (1.00-frisbee) (0.98-skis) (0.86-snowboard) (1.00-sports ball) (0.99-kite) (1.00-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.94-fork) (0.96-knife) (0.90-spoon) (0.99-bowl) (0.98-banana) (0.92-apple) (0.96-sandwich) (0.99-orange) (0.99-broccoli) (0.95-carrot) (0.84-hot dog) (1.00-pizza) (0.99-donut) (0.98-cake) (0.96-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.95-remote) (1.00-keyboard) (0.99-cell phone) (1.00-microwave) (0.99-oven) (0.36-toaster) (1.00-sink) (0.99-refrigerator) (0.94-book) (1.00-clock) (0.98-vase) (0.91-scissors) (1.00-teddy bear) (0.05-hair drier) (0.79-toothbrush)
2021-11-07 02:33:26,236 - mmdet - INFO - update score thr (ignore): (0.14-person) (0.14-bicycle) (0.29-car) (0.23-motorcycle) (0.58-airplane) (0.33-bus) (0.35-train) (0.28-truck) (0.23-boat) (0.25-traffic light) (0.43-fire hydrant) (0.75-stop sign) (0.06-parking meter) (0.12-bench) (0.08-bird) (0.59-cat) (0.51-dog) (0.11-horse) (0.82-sheep) (0.23-cow) (0.66-elephant) (0.66-bear) (0.06-zebra) (0.12-giraffe) (0.40-backpack) (0.17-umbrella) (0.23-handbag) (0.14-tie) (0.20-suitcase) (0.52-frisbee) (0.23-skis) (0.21-snowboard) (0.40-sports ball) (0.31-kite) (0.43-baseball bat) (0.51-baseball glove) (0.32-skateboard) (0.24-surfboard) (0.85-tennis racket) (0.42-bottle) (0.08-wine glass) (0.22-cup) (0.07-fork) (0.36-knife) (0.19-spoon) (0.35-bowl) (0.19-banana) (0.18-apple) (0.21-sandwich) (0.46-orange) (0.39-broccoli) (0.40-carrot) (0.25-hot dog) (0.24-pizza) (0.76-donut) (0.29-cake) (0.13-chair) (0.40-couch) (0.30-potted plant) (0.43-bed) (0.21-dining table) (0.66-toilet) (0.65-tv) (0.31-laptop) (0.78-mouse) (0.17-remote) (0.81-keyboard) (0.45-cell phone) (0.58-microwave) (0.32-oven) (0.09-toaster) (0.40-sink) (0.57-refrigerator) (0.26-book) (0.38-clock) (0.17-vase) (0.13-scissors) (0.75-teddy bear) (0.05-hair drier) (0.10-toothbrush)
2021-11-07 02:33:26,586 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 02:33:26,587 - mmdet - INFO - Iter [31000/40000]	lr: 2.000e-02, eta: 4:46:49, time: 1.670, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0320, loss_cls: 0.0682, acc: 97.3406, loss_bbox: 0.1432, loss_rpn_cls_unlabeled: 0.0823, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1571, acc_unlabeled: 91.8993, loss_bbox_unlabeled: 0.1813, losses_cls_ig_unlabeled: 0.1300, pseudo_num: 1.6437, pseudo_num_ig: 6.0562, pseudo_num_mining: 0.8595, pseudo_num(acc): 0.7781, pseudo_num ig(acc): 0.3905, loss: 0.8999
2021-11-07 02:34:50,908 - mmdet - INFO - Iter [31050/40000]	lr: 2.000e-02, eta: 4:45:35, time: 3.369, data_time: 1.710, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0309, loss_cls: 0.0684, acc: 97.3022, loss_bbox: 0.1451, loss_rpn_cls_unlabeled: 0.0809, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1543, acc_unlabeled: 91.6714, loss_bbox_unlabeled: 0.1713, losses_cls_ig_unlabeled: 0.1394, pseudo_num: 1.6436, pseudo_num_ig: 6.0561, pseudo_num_mining: 0.8599, pseudo_num(acc): 0.7782, pseudo_num ig(acc): 0.3906, loss: 0.8938
2021-11-07 02:36:15,704 - mmdet - INFO - Iter [31100/40000]	lr: 2.000e-02, eta: 4:43:56, time: 1.692, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0318, loss_cls: 0.0677, acc: 97.3423, loss_bbox: 0.1429, loss_rpn_cls_unlabeled: 0.0816, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1537, acc_unlabeled: 92.0630, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1306, pseudo_num: 1.6435, pseudo_num_ig: 6.0561, pseudo_num_mining: 0.8603, pseudo_num(acc): 0.7783, pseudo_num ig(acc): 0.3906, loss: 0.8860
2021-11-07 02:37:39,355 - mmdet - INFO - Iter [31150/40000]	lr: 2.000e-02, eta: 4:42:17, time: 1.678, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0314, loss_cls: 0.0665, acc: 97.3925, loss_bbox: 0.1418, loss_rpn_cls_unlabeled: 0.0797, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1571, acc_unlabeled: 91.8977, loss_bbox_unlabeled: 0.1718, losses_cls_ig_unlabeled: 0.1348, pseudo_num: 1.6433, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8607, pseudo_num(acc): 0.7784, pseudo_num ig(acc): 0.3906, loss: 0.8830
2021-11-07 02:39:03,774 - mmdet - INFO - Iter [31200/40000]	lr: 2.000e-02, eta: 4:40:38, time: 1.687, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0333, loss_cls: 0.0717, acc: 97.1985, loss_bbox: 0.1487, loss_rpn_cls_unlabeled: 0.0781, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1634, acc_unlabeled: 91.9442, loss_bbox_unlabeled: 0.1813, losses_cls_ig_unlabeled: 0.1325, pseudo_num: 1.6433, pseudo_num_ig: 6.0559, pseudo_num_mining: 0.8612, pseudo_num(acc): 0.7784, pseudo_num ig(acc): 0.3907, loss: 0.9109
2021-11-07 02:40:27,338 - mmdet - INFO - Iter [31250/40000]	lr: 2.000e-02, eta: 4:38:59, time: 1.673, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0331, loss_cls: 0.0700, acc: 97.2504, loss_bbox: 0.1448, loss_rpn_cls_unlabeled: 0.0804, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1613, acc_unlabeled: 91.9197, loss_bbox_unlabeled: 0.1744, losses_cls_ig_unlabeled: 0.1331, pseudo_num: 1.6432, pseudo_num_ig: 6.0560, pseudo_num_mining: 0.8617, pseudo_num(acc): 0.7785, pseudo_num ig(acc): 0.3907, loss: 0.9013
2021-11-07 02:41:50,841 - mmdet - INFO - Iter [31300/40000]	lr: 2.000e-02, eta: 4:37:20, time: 1.668, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0336, loss_cls: 0.0695, acc: 97.2953, loss_bbox: 0.1465, loss_rpn_cls_unlabeled: 0.0788, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1515, acc_unlabeled: 92.1503, loss_bbox_unlabeled: 0.1691, losses_cls_ig_unlabeled: 0.1304, pseudo_num: 1.6430, pseudo_num_ig: 6.0556, pseudo_num_mining: 0.8621, pseudo_num(acc): 0.7786, pseudo_num ig(acc): 0.3907, loss: 0.8807
2021-11-07 02:43:14,795 - mmdet - INFO - Iter [31350/40000]	lr: 2.000e-02, eta: 4:35:41, time: 1.679, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0318, loss_cls: 0.0686, acc: 97.3096, loss_bbox: 0.1448, loss_rpn_cls_unlabeled: 0.0850, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1554, acc_unlabeled: 91.8137, loss_bbox_unlabeled: 0.1725, losses_cls_ig_unlabeled: 0.1400, pseudo_num: 1.6428, pseudo_num_ig: 6.0554, pseudo_num_mining: 0.8625, pseudo_num(acc): 0.7787, pseudo_num ig(acc): 0.3907, loss: 0.9006
2021-11-07 02:44:39,370 - mmdet - INFO - Iter [31400/40000]	lr: 2.000e-02, eta: 4:34:02, time: 1.691, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0308, loss_cls: 0.0684, acc: 97.3396, loss_bbox: 0.1398, loss_rpn_cls_unlabeled: 0.0783, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1565, acc_unlabeled: 92.0295, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1337, pseudo_num: 1.6425, pseudo_num_ig: 6.0554, pseudo_num_mining: 0.8629, pseudo_num(acc): 0.7787, pseudo_num ig(acc): 0.3908, loss: 0.8816
2021-11-07 02:46:03,801 - mmdet - INFO - Iter [31450/40000]	lr: 2.000e-02, eta: 4:32:23, time: 1.690, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0329, loss_cls: 0.0715, acc: 97.2078, loss_bbox: 0.1477, loss_rpn_cls_unlabeled: 0.0809, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1550, acc_unlabeled: 91.9125, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1370, pseudo_num: 1.6423, pseudo_num_ig: 6.0555, pseudo_num_mining: 0.8635, pseudo_num(acc): 0.7788, pseudo_num ig(acc): 0.3908, loss: 0.9029
2021-11-07 02:47:25,979 - mmdet - INFO - pseudo pos: 0.98(61287.0-person) 0.87(1682.0-bicycle) 0.92(9039.0-car) 0.98(1855.0-motorcycle) 0.99(787.0-airplane) 0.99(1248.0-bus) 0.98(1245.0-train) 0.70(2174.0-truck) 0.67(2495.0-boat) 0.87(3291.0-traffic light) 1.00(414.0-fire hydrant) 0.94(466.0-stop sign) 0.76(386.0-parking meter) 0.66(2123.0-bench) 0.93(1772.0-bird) 0.96(1118.0-cat) 0.95(1089.0-dog) 0.97(1506.0-horse) 0.96(1158.0-sheep) 0.86(2352.0-cow) 0.99(905.0-elephant) 0.99(326.0-bear) 0.99(1644.0-zebra) 0.99(1574.0-giraffe) 0.44(1953.0-backpack) 0.81(2511.0-umbrella) 0.44(3063.0-handbag) 0.87(1383.0-tie) 0.69(1634.0-suitcase) 0.92(591.0-frisbee) 0.60(1497.0-skis) 0.26(959.0-snowboard) 0.96(1284.0-sports ball) 0.75(2186.0-kite) 0.82(712.0-baseball bat) 0.81(950.0-baseball glove) 0.97(1202.0-skateboard) 0.86(1302.0-surfboard) 0.95(730.0-tennis racket) 0.83(4974.0-bottle) 0.93(1446.0-wine glass) 0.80(5401.0-cup) 0.46(822.0-fork) 0.33(2074.0-knife) 0.29(1567.0-spoon) 0.71(4739.0-bowl) 0.61(2270.0-banana) 0.35(2100.0-apple) 0.45(1876.0-sandwich) 0.46(1085.0-orange) 0.66(1437.0-broccoli) 0.41(1849.0-carrot) 0.03(6772.0-hot dog) 0.94(1334.0-pizza) 0.72(1922.0-donut) 0.54(1447.0-cake) 0.63(10870.0-chair) 0.79(1286.0-couch) 0.64(2190.0-potted plant) 0.91(1017.0-bed) 0.68(4650.0-dining table) 0.93(873.0-toilet) 0.95(1454.0-tv) 0.97(1039.0-laptop) 0.96(326.0-mouse) 0.62(1074.0-remote) 0.73(644.0-keyboard) 0.67(1688.0-cell phone) 0.96(424.0-microwave) 0.78(1025.0-oven) 0.15(59.0-toaster) 0.77(1388.0-sink) 0.93(617.0-refrigerator) 0.23(5410.0-book) 0.95(1261.0-clock) 0.88(1287.0-vase) 0.55(388.0-scissors) 0.94(629.0-teddy bear) 0.00(0.0-hair drier) 0.22(625.0-toothbrush)
2021-11-07 02:47:25,980 - mmdet - INFO - pseudo ig: 0.56(228240.0-person) 0.30(6732.0-bicycle) 0.45(36579.0-car) 0.50(7149.0-motorcycle) 0.73(2740.0-airplane) 0.61(4759.0-bus) 0.53(4062.0-train) 0.30(8319.0-truck) 0.28(9766.0-boat) 0.29(13120.0-traffic light) 0.57(1623.0-fire hydrant) 0.50(1877.0-stop sign) 0.22(1237.0-parking meter) 0.18(8064.0-bench) 0.32(6224.0-bird) 0.70(3910.0-cat) 0.63(3865.0-dog) 0.52(5747.0-horse) 0.71(4491.0-sheep) 0.34(9552.0-cow) 0.80(3870.0-elephant) 0.62(1174.0-bear) 0.51(6274.0-zebra) 0.65(5094.0-giraffe) 0.18(7685.0-backpack) 0.32(9939.0-umbrella) 0.13(12494.0-handbag) 0.30(5666.0-tie) 0.21(6343.0-suitcase) 0.43(2462.0-frisbee) 0.28(5741.0-skis) 0.18(2046.0-snowboard) 0.34(5604.0-sports ball) 0.33(8609.0-kite) 0.27(2980.0-baseball bat) 0.27(3805.0-baseball glove) 0.44(4495.0-skateboard) 0.37(5031.0-surfboard) 0.69(2996.0-tennis racket) 0.33(21210.0-bottle) 0.37(5885.0-wine glass) 0.28(21837.0-cup) 0.24(3302.0-fork) 0.12(8242.0-knife) 0.10(6600.0-spoon) 0.26(18607.0-bowl) 0.22(9084.0-banana) 0.14(7161.0-apple) 0.23(4272.0-sandwich) 0.29(2914.0-orange) 0.33(6090.0-broccoli) 0.15(7443.0-carrot) 0.16(1230.0-hot dog) 0.47(5030.0-pizza) 0.27(6770.0-donut) 0.23(5369.0-cake) 0.20(42701.0-chair) 0.33(4861.0-couch) 0.28(8663.0-potted plant) 0.44(3683.0-bed) 0.30(14223.0-dining table) 0.59(3677.0-toilet) 0.49(5107.0-tv) 0.54(3806.0-laptop) 0.59(1182.0-mouse) 0.21(4513.0-remote) 0.47(2466.0-keyboard) 0.22(6485.0-cell phone) 0.37(1615.0-microwave) 0.24(3742.0-oven) 0.15(128.0-toaster) 0.37(5060.0-sink) 0.34(2215.0-refrigerator) 0.11(21526.0-book) 0.58(4826.0-clock) 0.35(4989.0-vase) 0.21(1514.0-scissors) 0.63(2488.0-teddy bear) 0.00(0.0-hair drier) 0.06(2179.0-toothbrush)
2021-11-07 02:47:25,981 - mmdet - INFO - pseudo gt: 275662.0 7550.0 46040.0 9707.0 5529.0 6650.0 4808.0 10560.0 11185.0 13500.0 1976.0 2142.0 1340.0 10630.0 10824.0 5026.0 5814.0 7249.0 10164.0 8820.0 6032.0 1416.0 5743.0 5649.0 9579.0 11568.0 13463.0 6823.0 6656.0 2915.0 6963.0 2845.0 6917.0 9411.0 3490.0 3858.0 5987.0 6251.0 5110.0 25424.0 8203.0 22149.0 5848.0 8239.0 6489.0 15070.0 9700.0 6349.0 4441.0 6694.0 7453.0 8407.0 3060.0 6354.0 6968.0 6536.0 40448.0 6121.0 9202.0 4470.0 16749.0 4403.0 6312.0 5432.0 2457.0 6194.0 3023.0 6889.0 1687.0 3411.0 248.0 5901.0 2763.0 25784.0 6593.0 6775.0 1623.0 5011.0 205.0 2139.0
2021-11-07 02:47:25,982 - mmdet - INFO - pseudo mining: 51117.0 187.0 6834.0 699.0 706.0 1036.0 619.0 288.0 518.0 1631.0 570.0 1159.0 20.0 52.0 287.0 941.0 517.0 974.0 2070.0 739.0 1820.0 363.0 1612.0 1864.0 85.0 897.0 67.0 295.0 75.0 629.0 162.0 27.0 1669.0 2087.0 434.0 676.0 573.0 289.0 1517.0 1985.0 335.0 1945.0 21.0 82.0 40.0 1696.0 249.0 265.0 111.0 723.0 804.0 347.0 1.0 664.0 1029.0 158.0 247.0 141.0 666.0 133.0 361.0 1528.0 1452.0 751.0 515.0 115.0 669.0 414.0 227.0 138.0 3.0 939.0 128.0 274.0 2857.0 174.0 7.0 777.0 0.0 2.0
2021-11-07 02:47:27,615 - mmdet - INFO - Iter [31500/40000]	lr: 2.000e-02, eta: 4:30:45, time: 1.675, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0327, loss_cls: 0.0700, acc: 97.2629, loss_bbox: 0.1440, loss_rpn_cls_unlabeled: 0.0764, loss_rpn_bbox_unlabeled: 0.0895, loss_cls_unlabeled: 0.1491, acc_unlabeled: 92.0624, loss_bbox_unlabeled: 0.1688, losses_cls_ig_unlabeled: 0.1291, pseudo_num: 1.6421, pseudo_num_ig: 6.0553, pseudo_num_mining: 0.8639, pseudo_num(acc): 0.7789, pseudo_num ig(acc): 0.3908, loss: 0.8696
2021-11-07 02:48:54,808 - mmdet - INFO - Iter [31550/40000]	lr: 2.000e-02, eta: 4:29:07, time: 1.744, data_time: 0.047, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0316, loss_cls: 0.0707, acc: 97.2275, loss_bbox: 0.1459, loss_rpn_cls_unlabeled: 0.0776, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1616, acc_unlabeled: 91.7819, loss_bbox_unlabeled: 0.1802, losses_cls_ig_unlabeled: 0.1406, pseudo_num: 1.6420, pseudo_num_ig: 6.0552, pseudo_num_mining: 0.8643, pseudo_num(acc): 0.7790, pseudo_num ig(acc): 0.3908, loss: 0.9098
2021-11-07 02:50:17,882 - mmdet - INFO - Iter [31600/40000]	lr: 2.000e-02, eta: 4:27:28, time: 1.663, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0325, loss_cls: 0.0669, acc: 97.3788, loss_bbox: 0.1442, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1573, acc_unlabeled: 91.8270, loss_bbox_unlabeled: 0.1782, losses_cls_ig_unlabeled: 0.1315, pseudo_num: 1.6419, pseudo_num_ig: 6.0551, pseudo_num_mining: 0.8647, pseudo_num(acc): 0.7790, pseudo_num ig(acc): 0.3909, loss: 0.9000
2021-11-07 02:51:42,349 - mmdet - INFO - Iter [31650/40000]	lr: 2.000e-02, eta: 4:25:50, time: 1.690, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0311, loss_cls: 0.0668, acc: 97.3914, loss_bbox: 0.1406, loss_rpn_cls_unlabeled: 0.0820, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1552, acc_unlabeled: 91.8907, loss_bbox_unlabeled: 0.1711, losses_cls_ig_unlabeled: 0.1339, pseudo_num: 1.6418, pseudo_num_ig: 6.0554, pseudo_num_mining: 0.8651, pseudo_num(acc): 0.7791, pseudo_num ig(acc): 0.3909, loss: 0.8832
2021-11-07 02:53:08,301 - mmdet - INFO - Iter [31700/40000]	lr: 2.000e-02, eta: 4:24:12, time: 1.719, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0318, loss_cls: 0.0683, acc: 97.3387, loss_bbox: 0.1415, loss_rpn_cls_unlabeled: 0.0839, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1499, acc_unlabeled: 92.1368, loss_bbox_unlabeled: 0.1682, losses_cls_ig_unlabeled: 0.1341, pseudo_num: 1.6417, pseudo_num_ig: 6.0550, pseudo_num_mining: 0.8655, pseudo_num(acc): 0.7792, pseudo_num ig(acc): 0.3909, loss: 0.8770
2021-11-07 02:54:34,069 - mmdet - INFO - Iter [31750/40000]	lr: 2.000e-02, eta: 4:22:34, time: 1.714, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0333, loss_cls: 0.0729, acc: 97.1404, loss_bbox: 0.1499, loss_rpn_cls_unlabeled: 0.0782, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1510, acc_unlabeled: 91.7823, loss_bbox_unlabeled: 0.1694, losses_cls_ig_unlabeled: 0.1338, pseudo_num: 1.6415, pseudo_num_ig: 6.0549, pseudo_num_mining: 0.8658, pseudo_num(acc): 0.7792, pseudo_num ig(acc): 0.3909, loss: 0.8933
2021-11-07 02:55:57,484 - mmdet - INFO - Iter [31800/40000]	lr: 2.000e-02, eta: 4:20:55, time: 1.670, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0343, loss_cls: 0.0694, acc: 97.2675, loss_bbox: 0.1478, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0916, loss_cls_unlabeled: 0.1500, acc_unlabeled: 91.9292, loss_bbox_unlabeled: 0.1745, losses_cls_ig_unlabeled: 0.1335, pseudo_num: 1.6414, pseudo_num_ig: 6.0549, pseudo_num_mining: 0.8662, pseudo_num(acc): 0.7793, pseudo_num ig(acc): 0.3909, loss: 0.8963
2021-11-07 02:57:22,893 - mmdet - INFO - Iter [31850/40000]	lr: 2.000e-02, eta: 4:19:17, time: 1.704, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0312, loss_cls: 0.0667, acc: 97.4036, loss_bbox: 0.1398, loss_rpn_cls_unlabeled: 0.0865, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1648, acc_unlabeled: 91.6266, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1411, pseudo_num: 1.6414, pseudo_num_ig: 6.0551, pseudo_num_mining: 0.8666, pseudo_num(acc): 0.7794, pseudo_num ig(acc): 0.3909, loss: 0.9195
2021-11-07 02:58:46,824 - mmdet - INFO - Iter [31900/40000]	lr: 2.000e-02, eta: 4:17:39, time: 1.681, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0315, loss_cls: 0.0672, acc: 97.3806, loss_bbox: 0.1424, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0955, loss_cls_unlabeled: 0.1544, acc_unlabeled: 91.9253, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.1330, pseudo_num: 1.6413, pseudo_num_ig: 6.0552, pseudo_num_mining: 0.8670, pseudo_num(acc): 0.7794, pseudo_num ig(acc): 0.3910, loss: 0.8898
2021-11-07 03:00:11,362 - mmdet - INFO - Iter [31950/40000]	lr: 2.000e-02, eta: 4:16:00, time: 1.693, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0323, loss_cls: 0.0678, acc: 97.3649, loss_bbox: 0.1445, loss_rpn_cls_unlabeled: 0.0878, loss_rpn_bbox_unlabeled: 0.1005, loss_cls_unlabeled: 0.1626, acc_unlabeled: 91.6257, loss_bbox_unlabeled: 0.1817, losses_cls_ig_unlabeled: 0.1411, pseudo_num: 1.6413, pseudo_num_ig: 6.0553, pseudo_num_mining: 0.8675, pseudo_num(acc): 0.7795, pseudo_num ig(acc): 0.3909, loss: 0.9286
2021-11-07 03:01:33,715 - mmdet - INFO - pseudo pos: 0.98(62296.0-person) 0.87(1706.0-bicycle) 0.92(9188.0-car) 0.98(1881.0-motorcycle) 0.99(801.0-airplane) 0.99(1260.0-bus) 0.98(1259.0-train) 0.70(2198.0-truck) 0.67(2536.0-boat) 0.87(3347.0-traffic light) 1.00(421.0-fire hydrant) 0.94(475.0-stop sign) 0.76(387.0-parking meter) 0.66(2164.0-bench) 0.93(1803.0-bird) 0.96(1143.0-cat) 0.95(1102.0-dog) 0.97(1534.0-horse) 0.96(1185.0-sheep) 0.86(2395.0-cow) 0.99(913.0-elephant) 0.99(331.0-bear) 0.99(1662.0-zebra) 0.99(1588.0-giraffe) 0.44(1978.0-backpack) 0.81(2552.0-umbrella) 0.44(3109.0-handbag) 0.87(1409.0-tie) 0.69(1646.0-suitcase) 0.92(597.0-frisbee) 0.60(1520.0-skis) 0.26(963.0-snowboard) 0.96(1310.0-sports ball) 0.75(2224.0-kite) 0.82(722.0-baseball bat) 0.81(969.0-baseball glove) 0.97(1212.0-skateboard) 0.86(1329.0-surfboard) 0.95(733.0-tennis racket) 0.83(5054.0-bottle) 0.93(1475.0-wine glass) 0.80(5509.0-cup) 0.46(843.0-fork) 0.33(2099.0-knife) 0.30(1593.0-spoon) 0.71(4832.0-bowl) 0.61(2299.0-banana) 0.34(2130.0-apple) 0.45(1898.0-sandwich) 0.47(1098.0-orange) 0.66(1452.0-broccoli) 0.41(1878.0-carrot) 0.03(6779.0-hot dog) 0.94(1345.0-pizza) 0.72(1961.0-donut) 0.54(1474.0-cake) 0.63(11043.0-chair) 0.79(1299.0-couch) 0.64(2215.0-potted plant) 0.91(1034.0-bed) 0.68(4731.0-dining table) 0.93(896.0-toilet) 0.95(1472.0-tv) 0.97(1052.0-laptop) 0.96(332.0-mouse) 0.62(1079.0-remote) 0.73(653.0-keyboard) 0.67(1725.0-cell phone) 0.96(427.0-microwave) 0.78(1047.0-oven) 0.15(59.0-toaster) 0.77(1420.0-sink) 0.92(626.0-refrigerator) 0.23(5493.0-book) 0.95(1283.0-clock) 0.88(1315.0-vase) 0.55(390.0-scissors) 0.94(640.0-teddy bear) 0.00(0.0-hair drier) 0.22(633.0-toothbrush)
2021-11-07 03:01:33,715 - mmdet - INFO - pseudo ig: 0.56(232301.0-person) 0.30(6809.0-bicycle) 0.45(37154.0-car) 0.50(7270.0-motorcycle) 0.73(2783.0-airplane) 0.61(4835.0-bus) 0.53(4122.0-train) 0.30(8443.0-truck) 0.28(9947.0-boat) 0.29(13299.0-traffic light) 0.56(1650.0-fire hydrant) 0.50(1909.0-stop sign) 0.22(1254.0-parking meter) 0.18(8256.0-bench) 0.32(6324.0-bird) 0.70(3970.0-cat) 0.63(3909.0-dog) 0.52(5844.0-horse) 0.71(4558.0-sheep) 0.34(9705.0-cow) 0.80(3961.0-elephant) 0.62(1192.0-bear) 0.51(6337.0-zebra) 0.65(5171.0-giraffe) 0.18(7776.0-backpack) 0.32(10106.0-umbrella) 0.13(12657.0-handbag) 0.30(5733.0-tie) 0.21(6412.0-suitcase) 0.43(2499.0-frisbee) 0.28(5844.0-skis) 0.18(2077.0-snowboard) 0.34(5700.0-sports ball) 0.33(8752.0-kite) 0.26(3041.0-baseball bat) 0.27(3851.0-baseball glove) 0.44(4549.0-skateboard) 0.37(5110.0-surfboard) 0.69(3039.0-tennis racket) 0.33(21527.0-bottle) 0.37(5977.0-wine glass) 0.28(22186.0-cup) 0.24(3345.0-fork) 0.12(8332.0-knife) 0.10(6704.0-spoon) 0.26(18906.0-bowl) 0.22(9196.0-banana) 0.14(7281.0-apple) 0.23(4326.0-sandwich) 0.29(2978.0-orange) 0.33(6176.0-broccoli) 0.15(7554.0-carrot) 0.16(1243.0-hot dog) 0.47(5114.0-pizza) 0.27(6879.0-donut) 0.23(5433.0-cake) 0.20(43313.0-chair) 0.34(4919.0-couch) 0.28(8806.0-potted plant) 0.44(3727.0-bed) 0.30(14439.0-dining table) 0.59(3738.0-toilet) 0.49(5180.0-tv) 0.55(3867.0-laptop) 0.59(1199.0-mouse) 0.22(4583.0-remote) 0.47(2495.0-keyboard) 0.21(6583.0-cell phone) 0.37(1645.0-microwave) 0.24(3807.0-oven) 0.14(133.0-toaster) 0.37(5137.0-sink) 0.34(2240.0-refrigerator) 0.11(21819.0-book) 0.58(4924.0-clock) 0.35(5092.0-vase) 0.21(1524.0-scissors) 0.63(2540.0-teddy bear) 0.00(0.0-hair drier) 0.06(2226.0-toothbrush)
2021-11-07 03:01:33,716 - mmdet - INFO - pseudo gt: 280309.0 7696.0 46800.0 9858.0 5620.0 6738.0 4874.0 10746.0 11410.0 13718.0 2004.0 2182.0 1369.0 10827.0 10986.0 5113.0 5888.0 7365.0 10332.0 8944.0 6141.0 1435.0 5811.0 5726.0 9722.0 11803.0 13691.0 6905.0 6710.0 2967.0 7118.0 2897.0 7035.0 9559.0 3547.0 3934.0 6068.0 6354.0 5176.0 25878.0 8342.0 22508.0 5935.0 8358.0 6603.0 15302.0 9851.0 6435.0 4502.0 6824.0 7573.0 8547.0 3123.0 6418.0 7144.0 6658.0 41141.0 6210.0 9397.0 4524.0 17025.0 4476.0 6393.0 5516.0 2490.0 6276.0 3063.0 7015.0 1715.0 3466.0 251.0 5997.0 2806.0 26249.0 6689.0 6903.0 1635.0 5109.0 209.0 2162.0
2021-11-07 03:01:33,716 - mmdet - INFO - pseudo mining: 52180.0 190.0 6979.0 719.0 717.0 1059.0 643.0 297.0 522.0 1656.0 582.0 1178.0 20.0 52.0 290.0 969.0 532.0 992.0 2112.0 760.0 1882.0 373.0 1644.0 1901.0 89.0 924.0 68.0 300.0 75.0 645.0 174.0 29.0 1709.0 2127.0 452.0 687.0 587.0 294.0 1545.0 2053.0 341.0 1982.0 21.0 85.0 41.0 1732.0 252.0 266.0 111.0 739.0 828.0 354.0 1.0 679.0 1080.0 161.0 250.0 145.0 680.0 135.0 374.0 1558.0 1483.0 771.0 526.0 120.0 684.0 423.0 232.0 141.0 3.0 957.0 133.0 279.0 2910.0 179.0 7.0 792.0 0.0 3.0
2021-11-07 03:02:24,621 - mmdet - INFO - Evaluating bbox...
2021-11-07 03:03:22,013 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.381 | bicycle      | 0.173 | car            | 0.307 |
| motorcycle    | 0.240 | airplane     | 0.313 | bus            | 0.480 |
| train         | 0.423 | truck        | 0.124 | boat           | 0.118 |
| traffic light | 0.203 | fire hydrant | 0.440 | stop sign      | 0.470 |
| parking meter | 0.338 | bench        | 0.126 | bird           | 0.173 |
| cat           | 0.423 | dog          | 0.423 | horse          | 0.384 |
| sheep         | 0.266 | cow          | 0.334 | elephant       | 0.435 |
| bear          | 0.505 | zebra        | 0.443 | giraffe        | 0.508 |
| backpack      | 0.051 | umbrella     | 0.190 | handbag        | 0.054 |
| tie           | 0.183 | suitcase     | 0.111 | frisbee        | 0.399 |
| skis          | 0.076 | snowboard    | 0.046 | sports ball    | 0.308 |
| kite          | 0.234 | baseball bat | 0.124 | baseball glove | 0.204 |
| skateboard    | 0.277 | surfboard    | 0.190 | tennis racket  | 0.257 |
| bottle        | 0.233 | wine glass   | 0.192 | cup            | 0.255 |
| fork          | 0.062 | knife        | 0.038 | spoon          | 0.024 |
| bowl          | 0.255 | banana       | 0.087 | apple          | 0.059 |
| sandwich      | 0.166 | orange       | 0.133 | broccoli       | 0.143 |
| carrot        | 0.044 | hot dog      | 0.069 | pizza          | 0.348 |
| donut         | 0.170 | cake         | 0.090 | chair          | 0.112 |
| couch         | 0.245 | potted plant | 0.118 | bed            | 0.295 |
| dining table  | 0.148 | toilet       | 0.405 | tv             | 0.414 |
| laptop        | 0.401 | mouse        | 0.432 | remote         | 0.068 |
| keyboard      | 0.248 | cell phone   | 0.176 | microwave      | 0.339 |
| oven          | 0.174 | toaster      | 0.043 | sink           | 0.169 |
| refrigerator  | 0.339 | book         | 0.021 | clock          | 0.388 |
| vase          | 0.205 | scissors     | 0.156 | teddy bear     | 0.273 |
| hair drier    | 0.000 | toothbrush   | 0.053 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 03:04:15,578 - mmdet - INFO - Evaluating bbox...
2021-11-07 03:05:18,828 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.397 | bicycle      | 0.188 | car            | 0.319 |
| motorcycle    | 0.260 | airplane     | 0.345 | bus            | 0.508 |
| train         | 0.437 | truck        | 0.153 | boat           | 0.131 |
| traffic light | 0.215 | fire hydrant | 0.469 | stop sign      | 0.459 |
| parking meter | 0.369 | bench        | 0.140 | bird           | 0.182 |
| cat           | 0.433 | dog          | 0.412 | horse          | 0.406 |
| sheep         | 0.305 | cow          | 0.383 | elephant       | 0.457 |
| bear          | 0.505 | zebra        | 0.489 | giraffe        | 0.532 |
| backpack      | 0.060 | umbrella     | 0.216 | handbag        | 0.056 |
| tie           | 0.190 | suitcase     | 0.123 | frisbee        | 0.436 |
| skis          | 0.091 | snowboard    | 0.058 | sports ball    | 0.323 |
| kite          | 0.230 | baseball bat | 0.125 | baseball glove | 0.229 |
| skateboard    | 0.299 | surfboard    | 0.211 | tennis racket  | 0.278 |
| bottle        | 0.249 | wine glass   | 0.218 | cup            | 0.266 |
| fork          | 0.063 | knife        | 0.040 | spoon          | 0.031 |
| bowl          | 0.284 | banana       | 0.096 | apple          | 0.078 |
| sandwich      | 0.197 | orange       | 0.147 | broccoli       | 0.149 |
| carrot        | 0.054 | hot dog      | 0.074 | pizza          | 0.360 |
| donut         | 0.214 | cake         | 0.119 | chair          | 0.123 |
| couch         | 0.259 | potted plant | 0.120 | bed            | 0.304 |
| dining table  | 0.149 | toilet       | 0.416 | tv             | 0.422 |
| laptop        | 0.416 | mouse        | 0.465 | remote         | 0.082 |
| keyboard      | 0.257 | cell phone   | 0.199 | microwave      | 0.376 |
| oven          | 0.181 | toaster      | 0.045 | sink           | 0.182 |
| refrigerator  | 0.347 | book         | 0.024 | clock          | 0.402 |
| vase          | 0.222 | scissors     | 0.145 | teddy bear     | 0.281 |
| hair drier    | 0.000 | toothbrush   | 0.057 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 03:06:44,133 - mmdet - INFO - current percent: 0.2
2021-11-07 03:06:44,134 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.64-parking meter) (0.97-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (0.99-umbrella) (0.91-handbag) (0.99-tie) (0.97-suitcase) (0.99-frisbee) (0.97-skis) (0.79-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.94-fork) (0.94-knife) (0.89-spoon) (0.99-bowl) (0.98-banana) (0.96-apple) (0.98-sandwich) (0.99-orange) (0.98-broccoli) (0.96-carrot) (0.97-hot dog) (1.00-pizza) (1.00-donut) (0.97-cake) (0.94-chair) (0.99-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.92-remote) (1.00-keyboard) (0.98-cell phone) (0.99-microwave) (0.99-oven) (0.31-toaster) (1.00-sink) (0.99-refrigerator) (0.96-book) (1.00-clock) (0.98-vase) (0.66-scissors) (1.00-teddy bear) (0.05-hair drier) (0.85-toothbrush)
2021-11-07 03:06:44,134 - mmdet - INFO - update score thr (ignore): (0.14-person) (0.10-bicycle) (0.42-car) (0.14-motorcycle) (0.55-airplane) (0.40-bus) (0.33-train) (0.28-truck) (0.29-boat) (0.24-traffic light) (0.47-fire hydrant) (0.88-stop sign) (0.05-parking meter) (0.29-bench) (0.10-bird) (0.66-cat) (0.40-dog) (0.14-horse) (0.82-sheep) (0.26-cow) (0.51-elephant) (0.54-bear) (0.09-zebra) (0.05-giraffe) (0.30-backpack) (0.16-umbrella) (0.19-handbag) (0.17-tie) (0.19-suitcase) (0.50-frisbee) (0.17-skis) (0.14-snowboard) (0.43-sports ball) (0.37-kite) (0.54-baseball bat) (0.53-baseball glove) (0.26-skateboard) (0.28-surfboard) (0.82-tennis racket) (0.30-bottle) (0.08-wine glass) (0.23-cup) (0.08-fork) (0.28-knife) (0.16-spoon) (0.45-bowl) (0.12-banana) (0.27-apple) (0.26-sandwich) (0.55-orange) (0.19-broccoli) (0.45-carrot) (0.40-hot dog) (0.39-pizza) (0.73-donut) (0.23-cake) (0.10-chair) (0.41-couch) (0.34-potted plant) (0.34-bed) (0.26-dining table) (0.43-toilet) (0.62-tv) (0.30-laptop) (0.71-mouse) (0.16-remote) (0.59-keyboard) (0.39-cell phone) (0.39-microwave) (0.30-oven) (0.05-toaster) (0.27-sink) (0.41-refrigerator) (0.28-book) (0.76-clock) (0.16-vase) (0.06-scissors) (0.84-teddy bear) (0.05-hair drier) (0.11-toothbrush)
2021-11-07 03:06:44,371 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 03:06:44,372 - mmdet - INFO - Iter [32000/40000]	lr: 2.000e-02, eta: 4:14:22, time: 1.682, data_time: 0.027, memory: 26488, bbox_mAP: 0.2440, bbox_mAP_50: 0.4200, bbox_mAP_75: 0.2560, bbox_mAP_s: 0.1270, bbox_mAP_m: 0.2660, bbox_mAP_l: 0.3320, bbox_mAP_copypaste: 0.244 0.420 0.256 0.127 0.266 0.332, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0320, loss_cls: 0.0693, acc: 97.2950, loss_bbox: 0.1429, loss_rpn_cls_unlabeled: 0.0805, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1571, acc_unlabeled: 91.7289, loss_bbox_unlabeled: 0.1750, losses_cls_ig_unlabeled: 0.1371, pseudo_num: 1.6412, pseudo_num_ig: 6.0556, pseudo_num_mining: 0.8679, pseudo_num(acc): 0.7795, pseudo_num ig(acc): 0.3910, loss: 0.8956
2021-11-07 03:08:08,561 - mmdet - INFO - Iter [32050/40000]	lr: 2.000e-02, eta: 4:14:01, time: 7.860, data_time: 6.211, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0314, loss_cls: 0.0685, acc: 97.2917, loss_bbox: 0.1448, loss_rpn_cls_unlabeled: 0.0809, loss_rpn_bbox_unlabeled: 0.0889, loss_cls_unlabeled: 0.1528, acc_unlabeled: 92.0854, loss_bbox_unlabeled: 0.1701, losses_cls_ig_unlabeled: 0.1293, pseudo_num: 1.6411, pseudo_num_ig: 6.0556, pseudo_num_mining: 0.8683, pseudo_num(acc): 0.7796, pseudo_num ig(acc): 0.3910, loss: 0.8764
2021-11-07 03:09:33,574 - mmdet - INFO - Iter [32100/40000]	lr: 2.000e-02, eta: 4:12:22, time: 1.700, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0323, loss_cls: 0.0679, acc: 97.3624, loss_bbox: 0.1431, loss_rpn_cls_unlabeled: 0.0776, loss_rpn_bbox_unlabeled: 0.0899, loss_cls_unlabeled: 0.1533, acc_unlabeled: 91.9010, loss_bbox_unlabeled: 0.1673, losses_cls_ig_unlabeled: 0.1346, pseudo_num: 1.6409, pseudo_num_ig: 6.0554, pseudo_num_mining: 0.8686, pseudo_num(acc): 0.7797, pseudo_num ig(acc): 0.3910, loss: 0.8763
2021-11-07 03:10:59,112 - mmdet - INFO - Iter [32150/40000]	lr: 2.000e-02, eta: 4:10:44, time: 1.710, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0311, loss_cls: 0.0682, acc: 97.3395, loss_bbox: 0.1447, loss_rpn_cls_unlabeled: 0.0801, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1530, acc_unlabeled: 91.8038, loss_bbox_unlabeled: 0.1734, losses_cls_ig_unlabeled: 0.1361, pseudo_num: 1.6407, pseudo_num_ig: 6.0551, pseudo_num_mining: 0.8689, pseudo_num(acc): 0.7797, pseudo_num ig(acc): 0.3910, loss: 0.8888
2021-11-07 03:12:25,397 - mmdet - INFO - Iter [32200/40000]	lr: 2.000e-02, eta: 4:09:06, time: 1.728, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0316, loss_cls: 0.0656, acc: 97.4257, loss_bbox: 0.1403, loss_rpn_cls_unlabeled: 0.0840, loss_rpn_bbox_unlabeled: 0.0938, loss_cls_unlabeled: 0.1533, acc_unlabeled: 91.8480, loss_bbox_unlabeled: 0.1709, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6406, pseudo_num_ig: 6.0552, pseudo_num_mining: 0.8693, pseudo_num(acc): 0.7798, pseudo_num ig(acc): 0.3910, loss: 0.8830
2021-11-07 03:13:49,245 - mmdet - INFO - Iter [32250/40000]	lr: 2.000e-02, eta: 4:07:27, time: 1.678, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0324, loss_cls: 0.0698, acc: 97.2616, loss_bbox: 0.1473, loss_rpn_cls_unlabeled: 0.0832, loss_rpn_bbox_unlabeled: 0.0949, loss_cls_unlabeled: 0.1557, acc_unlabeled: 91.7896, loss_bbox_unlabeled: 0.1759, losses_cls_ig_unlabeled: 0.1376, pseudo_num: 1.6405, pseudo_num_ig: 6.0552, pseudo_num_mining: 0.8698, pseudo_num(acc): 0.7799, pseudo_num ig(acc): 0.3910, loss: 0.9069
2021-11-07 03:15:14,925 - mmdet - INFO - Iter [32300/40000]	lr: 2.000e-02, eta: 4:05:49, time: 1.712, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0308, loss_cls: 0.0663, acc: 97.4191, loss_bbox: 0.1379, loss_rpn_cls_unlabeled: 0.0746, loss_rpn_bbox_unlabeled: 0.0844, loss_cls_unlabeled: 0.1474, acc_unlabeled: 92.0858, loss_bbox_unlabeled: 0.1636, losses_cls_ig_unlabeled: 0.1306, pseudo_num: 1.6402, pseudo_num_ig: 6.0548, pseudo_num_mining: 0.8701, pseudo_num(acc): 0.7800, pseudo_num ig(acc): 0.3910, loss: 0.8454
2021-11-07 03:16:39,355 - mmdet - INFO - Iter [32350/40000]	lr: 2.000e-02, eta: 4:04:10, time: 1.689, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0318, loss_cls: 0.0677, acc: 97.3479, loss_bbox: 0.1419, loss_rpn_cls_unlabeled: 0.0791, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1600, acc_unlabeled: 91.9132, loss_bbox_unlabeled: 0.1740, losses_cls_ig_unlabeled: 0.1314, pseudo_num: 1.6400, pseudo_num_ig: 6.0546, pseudo_num_mining: 0.8706, pseudo_num(acc): 0.7801, pseudo_num ig(acc): 0.3910, loss: 0.8888
2021-11-07 03:18:04,816 - mmdet - INFO - Iter [32400/40000]	lr: 2.000e-02, eta: 4:02:32, time: 1.710, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0310, loss_cls: 0.0678, acc: 97.3488, loss_bbox: 0.1423, loss_rpn_cls_unlabeled: 0.0817, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1541, acc_unlabeled: 91.6173, loss_bbox_unlabeled: 0.1711, losses_cls_ig_unlabeled: 0.1409, pseudo_num: 1.6398, pseudo_num_ig: 6.0546, pseudo_num_mining: 0.8710, pseudo_num(acc): 0.7801, pseudo_num ig(acc): 0.3911, loss: 0.8926
2021-11-07 03:19:29,601 - mmdet - INFO - Iter [32450/40000]	lr: 2.000e-02, eta: 4:00:54, time: 1.696, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0326, loss_cls: 0.0705, acc: 97.2452, loss_bbox: 0.1438, loss_rpn_cls_unlabeled: 0.0768, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1546, acc_unlabeled: 92.1023, loss_bbox_unlabeled: 0.1704, losses_cls_ig_unlabeled: 0.1296, pseudo_num: 1.6396, pseudo_num_ig: 6.0546, pseudo_num_mining: 0.8714, pseudo_num(acc): 0.7802, pseudo_num ig(acc): 0.3911, loss: 0.8813
2021-11-07 03:20:53,663 - mmdet - INFO - pseudo pos: 0.98(63301.0-person) 0.87(1733.0-bicycle) 0.92(9315.0-car) 0.98(1902.0-motorcycle) 0.99(824.0-airplane) 0.99(1288.0-bus) 0.98(1279.0-train) 0.70(2225.0-truck) 0.67(2572.0-boat) 0.87(3409.0-traffic light) 0.99(432.0-fire hydrant) 0.94(480.0-stop sign) 0.77(396.0-parking meter) 0.66(2215.0-bench) 0.93(1821.0-bird) 0.96(1158.0-cat) 0.95(1123.0-dog) 0.97(1561.0-horse) 0.96(1208.0-sheep) 0.86(2434.0-cow) 0.99(922.0-elephant) 0.99(336.0-bear) 0.99(1696.0-zebra) 1.00(1611.0-giraffe) 0.44(2007.0-backpack) 0.81(2597.0-umbrella) 0.44(3162.0-handbag) 0.87(1430.0-tie) 0.69(1674.0-suitcase) 0.92(605.0-frisbee) 0.60(1557.0-skis) 0.27(971.0-snowboard) 0.96(1329.0-sports ball) 0.75(2258.0-kite) 0.82(731.0-baseball bat) 0.81(978.0-baseball glove) 0.97(1227.0-skateboard) 0.86(1346.0-surfboard) 0.95(751.0-tennis racket) 0.83(5121.0-bottle) 0.93(1502.0-wine glass) 0.80(5613.0-cup) 0.46(856.0-fork) 0.33(2127.0-knife) 0.29(1618.0-spoon) 0.71(4878.0-bowl) 0.61(2350.0-banana) 0.35(2164.0-apple) 0.45(1914.0-sandwich) 0.47(1105.0-orange) 0.66(1475.0-broccoli) 0.41(1899.0-carrot) 0.04(6786.0-hot dog) 0.95(1364.0-pizza) 0.72(1971.0-donut) 0.54(1500.0-cake) 0.63(11203.0-chair) 0.79(1310.0-couch) 0.64(2242.0-potted plant) 0.91(1045.0-bed) 0.68(4788.0-dining table) 0.93(917.0-toilet) 0.95(1486.0-tv) 0.97(1063.0-laptop) 0.96(339.0-mouse) 0.62(1088.0-remote) 0.74(661.0-keyboard) 0.67(1753.0-cell phone) 0.96(431.0-microwave) 0.78(1062.0-oven) 0.15(59.0-toaster) 0.77(1437.0-sink) 0.93(640.0-refrigerator) 0.24(5559.0-book) 0.95(1319.0-clock) 0.88(1333.0-vase) 0.56(396.0-scissors) 0.94(648.0-teddy bear) 0.00(0.0-hair drier) 0.22(639.0-toothbrush)
2021-11-07 03:20:53,663 - mmdet - INFO - pseudo ig: 0.56(235775.0-person) 0.30(6910.0-bicycle) 0.46(37652.0-car) 0.50(7358.0-motorcycle) 0.73(2823.0-airplane) 0.61(4897.0-bus) 0.53(4176.0-train) 0.30(8576.0-truck) 0.28(10099.0-boat) 0.29(13515.0-traffic light) 0.56(1673.0-fire hydrant) 0.50(1944.0-stop sign) 0.22(1278.0-parking meter) 0.18(8379.0-bench) 0.32(6391.0-bird) 0.70(4028.0-cat) 0.63(3969.0-dog) 0.52(5931.0-horse) 0.71(4637.0-sheep) 0.34(9840.0-cow) 0.80(4005.0-elephant) 0.62(1208.0-bear) 0.51(6417.0-zebra) 0.65(5267.0-giraffe) 0.18(7887.0-backpack) 0.33(10277.0-umbrella) 0.13(12880.0-handbag) 0.30(5812.0-tie) 0.21(6534.0-suitcase) 0.43(2533.0-frisbee) 0.28(5980.0-skis) 0.19(2108.0-snowboard) 0.34(5775.0-sports ball) 0.33(8868.0-kite) 0.26(3085.0-baseball bat) 0.27(3899.0-baseball glove) 0.44(4610.0-skateboard) 0.37(5191.0-surfboard) 0.69(3073.0-tennis racket) 0.33(21907.0-bottle) 0.37(6098.0-wine glass) 0.28(22562.0-cup) 0.24(3384.0-fork) 0.12(8454.0-knife) 0.10(6812.0-spoon) 0.26(19141.0-bowl) 0.22(9348.0-banana) 0.14(7406.0-apple) 0.23(4392.0-sandwich) 0.29(3009.0-orange) 0.33(6294.0-broccoli) 0.15(7648.0-carrot) 0.16(1252.0-hot dog) 0.47(5178.0-pizza) 0.27(6962.0-donut) 0.22(5507.0-cake) 0.20(43934.0-chair) 0.34(4973.0-couch) 0.28(8913.0-potted plant) 0.44(3785.0-bed) 0.30(14645.0-dining table) 0.59(3807.0-toilet) 0.49(5259.0-tv) 0.55(3919.0-laptop) 0.59(1222.0-mouse) 0.21(4643.0-remote) 0.47(2527.0-keyboard) 0.21(6698.0-cell phone) 0.37(1672.0-microwave) 0.24(3882.0-oven) 0.14(137.0-toaster) 0.37(5241.0-sink) 0.34(2276.0-refrigerator) 0.11(22068.0-book) 0.58(5011.0-clock) 0.35(5189.0-vase) 0.21(1549.0-scissors) 0.63(2569.0-teddy bear) 0.00(0.0-hair drier) 0.06(2255.0-toothbrush)
2021-11-07 03:20:54,302 - mmdet - INFO - pseudo gt: 284614.0 7818.0 47483.0 9960.0 5716.0 6833.0 4957.0 10873.0 11599.0 13936.0 2033.0 2224.0 1391.0 11017.0 11161.0 5202.0 5985.0 7470.0 10495.0 9076.0 6199.0 1459.0 5908.0 5819.0 9865.0 12026.0 13901.0 7037.0 6804.0 3007.0 7246.0 2943.0 7146.0 9696.0 3605.0 4001.0 6156.0 6450.0 5260.0 26304.0 8491.0 22898.0 6016.0 8490.0 6674.0 15501.0 10071.0 6567.0 4573.0 6950.0 7680.0 8684.0 3155.0 6523.0 7223.0 6779.0 41731.0 6287.0 9506.0 4607.0 17260.0 4570.0 6491.0 5591.0 2528.0 6339.0 3104.0 7128.0 1743.0 3522.0 253.0 6099.0 2847.0 26556.0 6820.0 6990.0 1651.0 5182.0 214.0 2187.0
2021-11-07 03:20:54,314 - mmdet - INFO - pseudo mining: 53140.0 200.0 7141.0 730.0 732.0 1076.0 656.0 305.0 531.0 1694.0 595.0 1212.0 20.0 55.0 297.0 992.0 543.0 1007.0 2173.0 778.0 1911.0 380.0 1668.0 1939.0 89.0 946.0 73.0 307.0 77.0 652.0 177.0 29.0 1732.0 2155.0 462.0 701.0 606.0 309.0 1569.0 2106.0 346.0 2028.0 21.0 90.0 42.0 1776.0 260.0 274.0 111.0 749.0 837.0 355.0 1.0 690.0 1121.0 165.0 252.0 150.0 694.0 137.0 384.0 1581.0 1513.0 784.0 535.0 120.0 700.0 432.0 235.0 146.0 3.0 981.0 136.0 284.0 2977.0 180.0 7.0 808.0 0.0 3.0
2021-11-07 03:20:55,814 - mmdet - INFO - Iter [32500/40000]	lr: 2.000e-02, eta: 3:59:16, time: 1.723, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0315, loss_cls: 0.0662, acc: 97.4165, loss_bbox: 0.1424, loss_rpn_cls_unlabeled: 0.0820, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1476, acc_unlabeled: 92.0325, loss_bbox_unlabeled: 0.1644, losses_cls_ig_unlabeled: 0.1307, pseudo_num: 1.6394, pseudo_num_ig: 6.0543, pseudo_num_mining: 0.8718, pseudo_num(acc): 0.7803, pseudo_num ig(acc): 0.3911, loss: 0.8651
2021-11-07 03:22:19,008 - mmdet - INFO - Iter [32550/40000]	lr: 2.000e-02, eta: 3:57:37, time: 1.665, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0316, loss_cls: 0.0708, acc: 97.2334, loss_bbox: 0.1464, loss_rpn_cls_unlabeled: 0.0784, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1562, acc_unlabeled: 91.7402, loss_bbox_unlabeled: 0.1756, losses_cls_ig_unlabeled: 0.1363, pseudo_num: 1.6393, pseudo_num_ig: 6.0542, pseudo_num_mining: 0.8721, pseudo_num(acc): 0.7803, pseudo_num ig(acc): 0.3911, loss: 0.8993
2021-11-07 03:23:43,276 - mmdet - INFO - Iter [32600/40000]	lr: 2.000e-02, eta: 3:55:59, time: 1.685, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0310, loss_cls: 0.0658, acc: 97.4307, loss_bbox: 0.1381, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1566, acc_unlabeled: 91.9052, loss_bbox_unlabeled: 0.1707, losses_cls_ig_unlabeled: 0.1341, pseudo_num: 1.6390, pseudo_num_ig: 6.0542, pseudo_num_mining: 0.8726, pseudo_num(acc): 0.7804, pseudo_num ig(acc): 0.3911, loss: 0.8798
2021-11-07 03:25:09,701 - mmdet - INFO - Iter [32650/40000]	lr: 2.000e-02, eta: 3:54:21, time: 1.728, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0317, loss_cls: 0.0656, acc: 97.4611, loss_bbox: 0.1408, loss_rpn_cls_unlabeled: 0.0854, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1518, acc_unlabeled: 92.0089, loss_bbox_unlabeled: 0.1689, losses_cls_ig_unlabeled: 0.1346, pseudo_num: 1.6389, pseudo_num_ig: 6.0541, pseudo_num_mining: 0.8730, pseudo_num(acc): 0.7805, pseudo_num ig(acc): 0.3911, loss: 0.8799
2021-11-07 03:26:35,946 - mmdet - INFO - Iter [32700/40000]	lr: 2.000e-02, eta: 3:52:44, time: 1.726, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0333, loss_cls: 0.0705, acc: 97.2527, loss_bbox: 0.1481, loss_rpn_cls_unlabeled: 0.0852, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1550, acc_unlabeled: 91.8678, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1351, pseudo_num: 1.6387, pseudo_num_ig: 6.0542, pseudo_num_mining: 0.8734, pseudo_num(acc): 0.7805, pseudo_num ig(acc): 0.3911, loss: 0.9045
2021-11-07 03:28:00,172 - mmdet - INFO - Iter [32750/40000]	lr: 2.000e-02, eta: 3:51:05, time: 1.683, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0327, loss_cls: 0.0692, acc: 97.3105, loss_bbox: 0.1429, loss_rpn_cls_unlabeled: 0.0824, loss_rpn_bbox_unlabeled: 0.0932, loss_cls_unlabeled: 0.1557, acc_unlabeled: 91.7388, loss_bbox_unlabeled: 0.1687, losses_cls_ig_unlabeled: 0.1380, pseudo_num: 1.6384, pseudo_num_ig: 6.0543, pseudo_num_mining: 0.8739, pseudo_num(acc): 0.7806, pseudo_num ig(acc): 0.3911, loss: 0.8933
2021-11-07 03:29:23,030 - mmdet - INFO - Iter [32800/40000]	lr: 2.000e-02, eta: 3:49:27, time: 1.655, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0321, loss_cls: 0.0703, acc: 97.2444, loss_bbox: 0.1443, loss_rpn_cls_unlabeled: 0.0795, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1578, acc_unlabeled: 91.8907, loss_bbox_unlabeled: 0.1750, losses_cls_ig_unlabeled: 0.1327, pseudo_num: 1.6382, pseudo_num_ig: 6.0541, pseudo_num_mining: 0.8743, pseudo_num(acc): 0.7807, pseudo_num ig(acc): 0.3912, loss: 0.8920
2021-11-07 03:30:48,346 - mmdet - INFO - Iter [32850/40000]	lr: 2.000e-02, eta: 3:47:49, time: 1.711, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0317, loss_cls: 0.0699, acc: 97.2678, loss_bbox: 0.1465, loss_rpn_cls_unlabeled: 0.0807, loss_rpn_bbox_unlabeled: 0.0910, loss_cls_unlabeled: 0.1421, acc_unlabeled: 92.0447, loss_bbox_unlabeled: 0.1642, losses_cls_ig_unlabeled: 0.1342, pseudo_num: 1.6380, pseudo_num_ig: 6.0542, pseudo_num_mining: 0.8748, pseudo_num(acc): 0.7808, pseudo_num ig(acc): 0.3912, loss: 0.8712
2021-11-07 03:32:11,132 - mmdet - INFO - Iter [32900/40000]	lr: 2.000e-02, eta: 3:46:11, time: 1.651, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0316, loss_cls: 0.0698, acc: 97.2880, loss_bbox: 0.1423, loss_rpn_cls_unlabeled: 0.0807, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1527, acc_unlabeled: 92.1156, loss_bbox_unlabeled: 0.1706, losses_cls_ig_unlabeled: 0.1273, pseudo_num: 1.6377, pseudo_num_ig: 6.0541, pseudo_num_mining: 0.8753, pseudo_num(acc): 0.7808, pseudo_num ig(acc): 0.3912, loss: 0.8748
2021-11-07 03:34:53,209 - mmdet - INFO - Iter [32950/40000]	lr: 2.000e-02, eta: 3:44:49, time: 3.242, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0316, loss_cls: 0.0672, acc: 97.3903, loss_bbox: 0.1387, loss_rpn_cls_unlabeled: 0.0764, loss_rpn_bbox_unlabeled: 0.0933, loss_cls_unlabeled: 0.1543, acc_unlabeled: 91.8177, loss_bbox_unlabeled: 0.1713, losses_cls_ig_unlabeled: 0.1341, pseudo_num: 1.6375, pseudo_num_ig: 6.0539, pseudo_num_mining: 0.8758, pseudo_num(acc): 0.7809, pseudo_num ig(acc): 0.3912, loss: 0.8762
2021-11-07 03:36:16,473 - mmdet - INFO - pseudo pos: 0.98(64276.0-person) 0.87(1757.0-bicycle) 0.92(9414.0-car) 0.98(1930.0-motorcycle) 0.99(834.0-airplane) 0.99(1305.0-bus) 0.98(1304.0-train) 0.70(2252.0-truck) 0.67(2605.0-boat) 0.87(3459.0-traffic light) 0.99(446.0-fire hydrant) 0.94(485.0-stop sign) 0.77(402.0-parking meter) 0.66(2247.0-bench) 0.93(1829.0-bird) 0.96(1179.0-cat) 0.95(1146.0-dog) 0.97(1592.0-horse) 0.96(1216.0-sheep) 0.86(2469.0-cow) 0.99(928.0-elephant) 0.99(342.0-bear) 0.99(1725.0-zebra) 1.00(1635.0-giraffe) 0.43(2043.0-backpack) 0.81(2646.0-umbrella) 0.44(3214.0-handbag) 0.87(1450.0-tie) 0.69(1690.0-suitcase) 0.92(619.0-frisbee) 0.60(1581.0-skis) 0.27(985.0-snowboard) 0.95(1351.0-sports ball) 0.75(2295.0-kite) 0.82(740.0-baseball bat) 0.81(993.0-baseball glove) 0.97(1245.0-skateboard) 0.86(1361.0-surfboard) 0.95(759.0-tennis racket) 0.83(5228.0-bottle) 0.93(1522.0-wine glass) 0.80(5706.0-cup) 0.46(866.0-fork) 0.33(2148.0-knife) 0.29(1629.0-spoon) 0.71(4921.0-bowl) 0.61(2373.0-banana) 0.35(2198.0-apple) 0.46(1931.0-sandwich) 0.47(1113.0-orange) 0.66(1506.0-broccoli) 0.41(1941.0-carrot) 0.04(6788.0-hot dog) 0.94(1387.0-pizza) 0.72(1980.0-donut) 0.54(1519.0-cake) 0.63(11390.0-chair) 0.79(1329.0-couch) 0.64(2274.0-potted plant) 0.91(1059.0-bed) 0.68(4832.0-dining table) 0.93(930.0-toilet) 0.96(1494.0-tv) 0.97(1084.0-laptop) 0.96(341.0-mouse) 0.63(1107.0-remote) 0.73(675.0-keyboard) 0.68(1789.0-cell phone) 0.96(435.0-microwave) 0.78(1078.0-oven) 0.15(60.0-toaster) 0.77(1456.0-sink) 0.93(651.0-refrigerator) 0.24(5629.0-book) 0.95(1342.0-clock) 0.88(1353.0-vase) 0.56(397.0-scissors) 0.94(655.0-teddy bear) 0.00(0.0-hair drier) 0.22(651.0-toothbrush)
2021-11-07 03:36:16,474 - mmdet - INFO - pseudo ig: 0.56(239398.0-person) 0.30(6998.0-bicycle) 0.46(38137.0-car) 0.49(7465.0-motorcycle) 0.73(2859.0-airplane) 0.61(4971.0-bus) 0.54(4243.0-train) 0.30(8691.0-truck) 0.28(10255.0-boat) 0.29(13728.0-traffic light) 0.56(1701.0-fire hydrant) 0.51(1975.0-stop sign) 0.22(1293.0-parking meter) 0.18(8477.0-bench) 0.32(6484.0-bird) 0.70(4076.0-cat) 0.63(4026.0-dog) 0.52(6021.0-horse) 0.71(4705.0-sheep) 0.34(10031.0-cow) 0.80(4055.0-elephant) 0.63(1220.0-bear) 0.51(6499.0-zebra) 0.65(5342.0-giraffe) 0.18(8029.0-backpack) 0.33(10414.0-umbrella) 0.13(13079.0-handbag) 0.30(5883.0-tie) 0.21(6617.0-suitcase) 0.43(2571.0-frisbee) 0.28(6097.0-skis) 0.19(2147.0-snowboard) 0.34(5838.0-sports ball) 0.33(9013.0-kite) 0.27(3129.0-baseball bat) 0.27(3954.0-baseball glove) 0.44(4674.0-skateboard) 0.37(5280.0-surfboard) 0.70(3114.0-tennis racket) 0.33(22273.0-bottle) 0.37(6231.0-wine glass) 0.28(22900.0-cup) 0.24(3409.0-fork) 0.12(8573.0-knife) 0.10(6913.0-spoon) 0.26(19416.0-bowl) 0.22(9536.0-banana) 0.14(7567.0-apple) 0.23(4462.0-sandwich) 0.29(3091.0-orange) 0.33(6408.0-broccoli) 0.15(7782.0-carrot) 0.16(1267.0-hot dog) 0.47(5240.0-pizza) 0.27(7067.0-donut) 0.22(5581.0-cake) 0.20(44662.0-chair) 0.34(5038.0-couch) 0.28(9059.0-potted plant) 0.44(3839.0-bed) 0.30(14866.0-dining table) 0.59(3887.0-toilet) 0.49(5351.0-tv) 0.55(3988.0-laptop) 0.59(1244.0-mouse) 0.21(4705.0-remote) 0.47(2564.0-keyboard) 0.21(6816.0-cell phone) 0.37(1701.0-microwave) 0.24(3943.0-oven) 0.13(142.0-toaster) 0.37(5369.0-sink) 0.34(2313.0-refrigerator) 0.11(22337.0-book) 0.58(5079.0-clock) 0.35(5264.0-vase) 0.20(1578.0-scissors) 0.63(2604.0-teddy bear) 0.00(0.0-hair drier) 0.06(2282.0-toothbrush)
2021-11-07 03:36:16,474 - mmdet - INFO - pseudo gt: 288933.0 7934.0 48101.0 10089.0 5796.0 6940.0 5044.0 11020.0 11756.0 14146.0 2064.0 2265.0 1403.0 11187.0 11368.0 5277.0 6067.0 7612.0 10634.0 9235.0 6251.0 1478.0 6004.0 5885.0 10010.0 12230.0 14113.0 7129.0 6871.0 3064.0 7372.0 2999.0 7243.0 9869.0 3672.0 4071.0 6240.0 6554.0 5338.0 26745.0 8664.0 23239.0 6084.0 8572.0 6751.0 15770.0 10256.0 6628.0 4642.0 7092.0 7814.0 8877.0 3204.0 6597.0 7355.0 6906.0 42339.0 6390.0 9675.0 4678.0 17510.0 4654.0 6588.0 5669.0 2580.0 6432.0 3157.0 7248.0 1767.0 3584.0 255.0 6213.0 2904.0 26977.0 6938.0 7126.0 1661.0 5292.0 217.0 2208.0
2021-11-07 03:36:16,474 - mmdet - INFO - pseudo mining: 54115.0 207.0 7304.0 748.0 743.0 1094.0 676.0 307.0 548.0 1722.0 606.0 1238.0 20.0 58.0 303.0 1012.0 546.0 1025.0 2210.0 814.0 1932.0 385.0 1699.0 1960.0 93.0 966.0 75.0 317.0 79.0 661.0 183.0 29.0 1765.0 2188.0 475.0 719.0 620.0 324.0 1602.0 2145.0 350.0 2070.0 21.0 93.0 42.0 1836.0 268.0 284.0 111.0 768.0 851.0 359.0 1.0 701.0 1178.0 166.0 256.0 162.0 719.0 139.0 398.0 1621.0 1559.0 797.0 549.0 122.0 716.0 444.0 238.0 149.0 3.0 1014.0 139.0 294.0 3024.0 182.0 7.0 826.0 0.0 3.0
2021-11-07 03:37:40,542 - mmdet - INFO - current percent: 0.2
2021-11-07 03:37:40,543 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.99-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.96-bench) (0.98-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.95-backpack) (1.00-umbrella) (0.93-handbag) (0.99-tie) (0.95-suitcase) (1.00-frisbee) (0.98-skis) (0.92-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.98-cup) (0.89-fork) (0.93-knife) (0.93-spoon) (0.99-bowl) (0.96-banana) (0.95-apple) (0.98-sandwich) (0.99-orange) (0.98-broccoli) (0.93-carrot) (0.93-hot dog) (0.99-pizza) (0.99-donut) (0.99-cake) (0.94-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.97-remote) (1.00-keyboard) (0.99-cell phone) (0.99-microwave) (0.99-oven) (0.25-toaster) (0.99-sink) (0.99-refrigerator) (0.95-book) (1.00-clock) (0.99-vase) (0.92-scissors) (1.00-teddy bear) (0.05-hair drier) (0.58-toothbrush)
2021-11-07 03:37:40,543 - mmdet - INFO - update score thr (ignore): (0.15-person) (0.10-bicycle) (0.31-car) (0.22-motorcycle) (0.40-airplane) (0.32-bus) (0.32-train) (0.25-truck) (0.38-boat) (0.27-traffic light) (0.85-fire hydrant) (0.83-stop sign) (0.11-parking meter) (0.16-bench) (0.09-bird) (0.49-cat) (0.46-dog) (0.18-horse) (0.83-sheep) (0.32-cow) (0.66-elephant) (0.30-bear) (0.06-zebra) (0.05-giraffe) (0.36-backpack) (0.24-umbrella) (0.19-handbag) (0.21-tie) (0.19-suitcase) (0.49-frisbee) (0.21-skis) (0.22-snowboard) (0.41-sports ball) (0.49-kite) (0.34-baseball bat) (0.43-baseball glove) (0.28-skateboard) (0.27-surfboard) (0.57-tennis racket) (0.27-bottle) (0.09-wine glass) (0.22-cup) (0.05-fork) (0.24-knife) (0.18-spoon) (0.37-bowl) (0.12-banana) (0.27-apple) (0.31-sandwich) (0.71-orange) (0.29-broccoli) (0.40-carrot) (0.38-hot dog) (0.27-pizza) (0.57-donut) (0.24-cake) (0.12-chair) (0.31-couch) (0.32-potted plant) (0.41-bed) (0.19-dining table) (0.58-toilet) (0.58-tv) (0.33-laptop) (0.77-mouse) (0.22-remote) (0.67-keyboard) (0.43-cell phone) (0.41-microwave) (0.28-oven) (0.06-toaster) (0.43-sink) (0.34-refrigerator) (0.23-book) (0.69-clock) (0.22-vase) (0.28-scissors) (0.84-teddy bear) (0.05-hair drier) (0.08-toothbrush)
2021-11-07 03:37:41,200 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 03:37:41,200 - mmdet - INFO - Iter [33000/40000]	lr: 2.000e-02, eta: 3:43:11, time: 1.702, data_time: 0.037, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0340, loss_cls: 0.0707, acc: 97.2288, loss_bbox: 0.1471, loss_rpn_cls_unlabeled: 0.0863, loss_rpn_bbox_unlabeled: 0.0940, loss_cls_unlabeled: 0.1624, acc_unlabeled: 91.9121, loss_bbox_unlabeled: 0.1750, losses_cls_ig_unlabeled: 0.1342, pseudo_num: 1.6373, pseudo_num_ig: 6.0540, pseudo_num_mining: 0.8763, pseudo_num(acc): 0.7810, pseudo_num ig(acc): 0.3912, loss: 0.9145
2021-11-07 03:39:05,588 - mmdet - INFO - Iter [33050/40000]	lr: 2.000e-02, eta: 3:41:51, time: 3.347, data_time: 1.690, memory: 26488, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0331, loss_cls: 0.0700, acc: 97.2699, loss_bbox: 0.1462, loss_rpn_cls_unlabeled: 0.0848, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1520, acc_unlabeled: 91.9292, loss_bbox_unlabeled: 0.1734, losses_cls_ig_unlabeled: 0.1340, pseudo_num: 1.6372, pseudo_num_ig: 6.0540, pseudo_num_mining: 0.8767, pseudo_num(acc): 0.7811, pseudo_num ig(acc): 0.3912, loss: 0.8996
2021-11-07 03:40:28,976 - mmdet - INFO - Iter [33100/40000]	lr: 2.000e-02, eta: 3:40:13, time: 1.670, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0299, loss_cls: 0.0643, acc: 97.5115, loss_bbox: 0.1354, loss_rpn_cls_unlabeled: 0.0888, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1539, acc_unlabeled: 92.1519, loss_bbox_unlabeled: 0.1747, losses_cls_ig_unlabeled: 0.1286, pseudo_num: 1.6372, pseudo_num_ig: 6.0542, pseudo_num_mining: 0.8772, pseudo_num(acc): 0.7811, pseudo_num ig(acc): 0.3912, loss: 0.8806
2021-11-07 03:41:55,566 - mmdet - INFO - Iter [33150/40000]	lr: 2.000e-02, eta: 3:38:35, time: 1.732, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0106, loss_rpn_bbox: 0.0301, loss_cls: 0.0674, acc: 97.3896, loss_bbox: 0.1402, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0973, loss_cls_unlabeled: 0.1646, acc_unlabeled: 91.8335, loss_bbox_unlabeled: 0.1827, losses_cls_ig_unlabeled: 0.1359, pseudo_num: 1.6371, pseudo_num_ig: 6.0543, pseudo_num_mining: 0.8777, pseudo_num(acc): 0.7812, pseudo_num ig(acc): 0.3913, loss: 0.9138
2021-11-07 03:43:20,952 - mmdet - INFO - Iter [33200/40000]	lr: 2.000e-02, eta: 3:36:57, time: 1.706, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0317, loss_cls: 0.0693, acc: 97.3059, loss_bbox: 0.1425, loss_rpn_cls_unlabeled: 0.0785, loss_rpn_bbox_unlabeled: 0.0936, loss_cls_unlabeled: 0.1529, acc_unlabeled: 92.0338, loss_bbox_unlabeled: 0.1666, losses_cls_ig_unlabeled: 0.1338, pseudo_num: 1.6370, pseudo_num_ig: 6.0542, pseudo_num_mining: 0.8780, pseudo_num(acc): 0.7812, pseudo_num ig(acc): 0.3913, loss: 0.8790
2021-11-07 03:44:44,995 - mmdet - INFO - Iter [33250/40000]	lr: 2.000e-02, eta: 3:35:19, time: 1.681, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0326, loss_cls: 0.0695, acc: 97.2972, loss_bbox: 0.1461, loss_rpn_cls_unlabeled: 0.0766, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1512, acc_unlabeled: 91.8373, loss_bbox_unlabeled: 0.1669, losses_cls_ig_unlabeled: 0.1355, pseudo_num: 1.6369, pseudo_num_ig: 6.0541, pseudo_num_mining: 0.8783, pseudo_num(acc): 0.7813, pseudo_num ig(acc): 0.3913, loss: 0.8809
2021-11-07 03:46:11,053 - mmdet - INFO - Iter [33300/40000]	lr: 2.000e-02, eta: 3:33:41, time: 1.721, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0089, loss_rpn_bbox: 0.0291, loss_cls: 0.0626, acc: 97.5850, loss_bbox: 0.1363, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1562, acc_unlabeled: 91.8231, loss_bbox_unlabeled: 0.1771, losses_cls_ig_unlabeled: 0.1356, pseudo_num: 1.6368, pseudo_num_ig: 6.0541, pseudo_num_mining: 0.8787, pseudo_num(acc): 0.7813, pseudo_num ig(acc): 0.3913, loss: 0.8823
2021-11-07 03:47:37,005 - mmdet - INFO - Iter [33350/40000]	lr: 2.000e-02, eta: 3:32:04, time: 1.721, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0302, loss_cls: 0.0651, acc: 97.4631, loss_bbox: 0.1377, loss_rpn_cls_unlabeled: 0.0822, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1573, acc_unlabeled: 92.1702, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1294, pseudo_num: 1.6367, pseudo_num_ig: 6.0539, pseudo_num_mining: 0.8791, pseudo_num(acc): 0.7814, pseudo_num ig(acc): 0.3913, loss: 0.8785
2021-11-07 03:49:01,421 - mmdet - INFO - Iter [33400/40000]	lr: 2.000e-02, eta: 3:30:26, time: 1.686, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0310, loss_cls: 0.0694, acc: 97.2720, loss_bbox: 0.1422, loss_rpn_cls_unlabeled: 0.0790, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1491, acc_unlabeled: 92.1765, loss_bbox_unlabeled: 0.1689, losses_cls_ig_unlabeled: 0.1275, pseudo_num: 1.6365, pseudo_num_ig: 6.0534, pseudo_num_mining: 0.8794, pseudo_num(acc): 0.7815, pseudo_num ig(acc): 0.3913, loss: 0.8658
2021-11-07 03:50:24,933 - mmdet - INFO - Iter [33450/40000]	lr: 2.000e-02, eta: 3:28:48, time: 1.670, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0309, loss_cls: 0.0675, acc: 97.3672, loss_bbox: 0.1428, loss_rpn_cls_unlabeled: 0.0811, loss_rpn_bbox_unlabeled: 0.0953, loss_cls_unlabeled: 0.1602, acc_unlabeled: 91.7285, loss_bbox_unlabeled: 0.1814, losses_cls_ig_unlabeled: 0.1364, pseudo_num: 1.6365, pseudo_num_ig: 6.0533, pseudo_num_mining: 0.8798, pseudo_num(acc): 0.7815, pseudo_num ig(acc): 0.3913, loss: 0.9053
2021-11-07 03:51:49,776 - mmdet - INFO - pseudo pos: 0.98(65226.0-person) 0.87(1781.0-bicycle) 0.92(9565.0-car) 0.98(1957.0-motorcycle) 0.99(848.0-airplane) 0.99(1331.0-bus) 0.98(1329.0-train) 0.70(2282.0-truck) 0.67(2650.0-boat) 0.87(3511.0-traffic light) 0.99(447.0-fire hydrant) 0.94(492.0-stop sign) 0.77(404.0-parking meter) 0.66(2289.0-bench) 0.93(1855.0-bird) 0.96(1191.0-cat) 0.95(1158.0-dog) 0.97(1612.0-horse) 0.96(1231.0-sheep) 0.86(2518.0-cow) 0.99(947.0-elephant) 0.99(350.0-bear) 0.99(1748.0-zebra) 1.00(1660.0-giraffe) 0.43(2082.0-backpack) 0.81(2725.0-umbrella) 0.44(3250.0-handbag) 0.87(1463.0-tie) 0.69(1715.0-suitcase) 0.92(626.0-frisbee) 0.61(1608.0-skis) 0.27(985.0-snowboard) 0.95(1363.0-sports ball) 0.75(2314.0-kite) 0.82(748.0-baseball bat) 0.81(1002.0-baseball glove) 0.97(1263.0-skateboard) 0.87(1380.0-surfboard) 0.95(773.0-tennis racket) 0.83(5354.0-bottle) 0.93(1546.0-wine glass) 0.80(5831.0-cup) 0.47(877.0-fork) 0.33(2179.0-knife) 0.29(1661.0-spoon) 0.71(5014.0-bowl) 0.62(2409.0-banana) 0.35(2237.0-apple) 0.46(1943.0-sandwich) 0.48(1144.0-orange) 0.66(1537.0-broccoli) 0.41(1972.0-carrot) 0.04(6791.0-hot dog) 0.94(1410.0-pizza) 0.72(1988.0-donut) 0.54(1536.0-cake) 0.63(11587.0-chair) 0.79(1348.0-couch) 0.64(2304.0-potted plant) 0.91(1076.0-bed) 0.68(4919.0-dining table) 0.93(939.0-toilet) 0.95(1510.0-tv) 0.97(1103.0-laptop) 0.96(344.0-mouse) 0.62(1125.0-remote) 0.73(688.0-keyboard) 0.68(1844.0-cell phone) 0.96(442.0-microwave) 0.79(1092.0-oven) 0.15(61.0-toaster) 0.77(1481.0-sink) 0.93(666.0-refrigerator) 0.24(5738.0-book) 0.95(1370.0-clock) 0.88(1361.0-vase) 0.56(399.0-scissors) 0.94(660.0-teddy bear) 0.00(0.0-hair drier) 0.22(667.0-toothbrush)
2021-11-07 03:51:49,776 - mmdet - INFO - pseudo ig: 0.56(242763.0-person) 0.30(7123.0-bicycle) 0.46(38680.0-car) 0.50(7592.0-motorcycle) 0.73(2905.0-airplane) 0.61(5034.0-bus) 0.54(4318.0-train) 0.30(8822.0-truck) 0.28(10409.0-boat) 0.29(13905.0-traffic light) 0.57(1732.0-fire hydrant) 0.51(1993.0-stop sign) 0.22(1303.0-parking meter) 0.18(8644.0-bench) 0.32(6562.0-bird) 0.70(4136.0-cat) 0.63(4077.0-dog) 0.52(6112.0-horse) 0.71(4758.0-sheep) 0.35(10202.0-cow) 0.80(4112.0-elephant) 0.62(1248.0-bear) 0.51(6571.0-zebra) 0.65(5414.0-giraffe) 0.18(8168.0-backpack) 0.33(10608.0-umbrella) 0.13(13245.0-handbag) 0.30(5986.0-tie) 0.21(6707.0-suitcase) 0.43(2610.0-frisbee) 0.28(6176.0-skis) 0.19(2170.0-snowboard) 0.35(5903.0-sports ball) 0.33(9100.0-kite) 0.27(3181.0-baseball bat) 0.27(4009.0-baseball glove) 0.44(4752.0-skateboard) 0.37(5370.0-surfboard) 0.70(3154.0-tennis racket) 0.33(22628.0-bottle) 0.37(6315.0-wine glass) 0.28(23262.0-cup) 0.24(3467.0-fork) 0.12(8707.0-knife) 0.10(7041.0-spoon) 0.26(19731.0-bowl) 0.22(9655.0-banana) 0.14(7654.0-apple) 0.23(4524.0-sandwich) 0.30(3141.0-orange) 0.33(6521.0-broccoli) 0.15(7872.0-carrot) 0.16(1274.0-hot dog) 0.47(5313.0-pizza) 0.27(7131.0-donut) 0.23(5669.0-cake) 0.20(45337.0-chair) 0.34(5102.0-couch) 0.28(9173.0-potted plant) 0.44(3909.0-bed) 0.30(15145.0-dining table) 0.59(3952.0-toilet) 0.49(5432.0-tv) 0.55(4028.0-laptop) 0.59(1266.0-mouse) 0.21(4775.0-remote) 0.47(2598.0-keyboard) 0.21(6941.0-cell phone) 0.37(1732.0-microwave) 0.24(4015.0-oven) 0.15(150.0-toaster) 0.37(5452.0-sink) 0.34(2357.0-refrigerator) 0.11(22691.0-book) 0.58(5161.0-clock) 0.35(5323.0-vase) 0.20(1588.0-scissors) 0.63(2627.0-teddy bear) 0.00(0.0-hair drier) 0.06(2325.0-toothbrush)
2021-11-07 03:51:49,776 - mmdet - INFO - pseudo gt: 293130.0 8066.0 48778.0 10262.0 5892.0 7042.0 5132.0 11187.0 11949.0 14337.0 2096.0 2298.0 1421.0 11354.0 11550.0 5334.0 6158.0 7724.0 10753.0 9434.0 6355.0 1498.0 6081.0 5948.0 10165.0 12464.0 14330.0 7214.0 6949.0 3116.0 7483.0 3033.0 7303.0 9975.0 3712.0 4112.0 6340.0 6694.0 5410.0 27169.0 8824.0 23663.0 6176.0 8724.0 6842.0 16027.0 10404.0 6716.0 4738.0 7218.0 7949.0 8961.0 3261.0 6709.0 7434.0 7036.0 42952.0 6471.0 9818.0 4762.0 17813.0 4717.0 6667.0 5740.0 2623.0 6517.0 3195.0 7380.0 1791.0 3641.0 262.0 6307.0 2941.0 27408.0 7058.0 7223.0 1686.0 5382.0 220.0 2234.0
2021-11-07 03:51:49,938 - mmdet - INFO - pseudo mining: 55065.0 210.0 7419.0 777.0 755.0 1105.0 693.0 314.0 570.0 1750.0 625.0 1249.0 22.0 66.0 306.0 1027.0 553.0 1043.0 2247.0 852.0 1968.0 387.0 1726.0 1976.0 101.0 1000.0 82.0 336.0 79.0 670.0 190.0 33.0 1791.0 2219.0 481.0 731.0 644.0 331.0 1628.0 2179.0 354.0 2095.0 21.0 94.0 42.0 1886.0 269.0 286.0 115.0 786.0 865.0 367.0 1.0 712.0 1192.0 174.0 262.0 169.0 731.0 146.0 406.0 1659.0 1594.0 812.0 565.0 129.0 730.0 464.0 244.0 152.0 3.0 1034.0 141.0 309.0 3074.0 192.0 7.0 837.0 0.0 3.0
2021-11-07 03:51:51,610 - mmdet - INFO - Iter [33500/40000]	lr: 2.000e-02, eta: 3:27:10, time: 1.732, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0343, loss_cls: 0.0680, acc: 97.3198, loss_bbox: 0.1425, loss_rpn_cls_unlabeled: 0.0804, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1546, acc_unlabeled: 92.0720, loss_bbox_unlabeled: 0.1755, losses_cls_ig_unlabeled: 0.1293, pseudo_num: 1.6365, pseudo_num_ig: 6.0534, pseudo_num_mining: 0.8801, pseudo_num(acc): 0.7816, pseudo_num ig(acc): 0.3913, loss: 0.8865
2021-11-07 03:53:15,496 - mmdet - INFO - Iter [33550/40000]	lr: 2.000e-02, eta: 3:25:32, time: 1.677, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0331, loss_cls: 0.0687, acc: 97.3258, loss_bbox: 0.1447, loss_rpn_cls_unlabeled: 0.0802, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1607, acc_unlabeled: 92.1444, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1290, pseudo_num: 1.6364, pseudo_num_ig: 6.0530, pseudo_num_mining: 0.8805, pseudo_num(acc): 0.7817, pseudo_num ig(acc): 0.3913, loss: 0.8925
2021-11-07 03:54:39,326 - mmdet - INFO - Iter [33600/40000]	lr: 2.000e-02, eta: 3:23:55, time: 1.680, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0321, loss_cls: 0.0688, acc: 97.3130, loss_bbox: 0.1422, loss_rpn_cls_unlabeled: 0.0767, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1566, acc_unlabeled: 91.8019, loss_bbox_unlabeled: 0.1722, losses_cls_ig_unlabeled: 0.1353, pseudo_num: 1.6363, pseudo_num_ig: 6.0527, pseudo_num_mining: 0.8808, pseudo_num(acc): 0.7817, pseudo_num ig(acc): 0.3913, loss: 0.8841
2021-11-07 03:56:03,096 - mmdet - INFO - Iter [33650/40000]	lr: 2.000e-02, eta: 3:22:17, time: 1.675, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0308, loss_cls: 0.0655, acc: 97.4659, loss_bbox: 0.1402, loss_rpn_cls_unlabeled: 0.0771, loss_rpn_bbox_unlabeled: 0.0912, loss_cls_unlabeled: 0.1477, acc_unlabeled: 92.1476, loss_bbox_unlabeled: 0.1668, losses_cls_ig_unlabeled: 0.1277, pseudo_num: 1.6361, pseudo_num_ig: 6.0526, pseudo_num_mining: 0.8811, pseudo_num(acc): 0.7818, pseudo_num ig(acc): 0.3913, loss: 0.8568
2021-11-07 03:57:28,636 - mmdet - INFO - Iter [33700/40000]	lr: 2.000e-02, eta: 3:20:39, time: 1.711, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0303, loss_cls: 0.0652, acc: 97.4390, loss_bbox: 0.1396, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0939, loss_cls_unlabeled: 0.1603, acc_unlabeled: 91.8273, loss_bbox_unlabeled: 0.1729, losses_cls_ig_unlabeled: 0.1363, pseudo_num: 1.6360, pseudo_num_ig: 6.0525, pseudo_num_mining: 0.8815, pseudo_num(acc): 0.7819, pseudo_num ig(acc): 0.3913, loss: 0.8908
2021-11-07 03:58:53,567 - mmdet - INFO - Iter [33750/40000]	lr: 2.000e-02, eta: 3:19:02, time: 1.698, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0319, loss_cls: 0.0683, acc: 97.3383, loss_bbox: 0.1416, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1612, acc_unlabeled: 91.8484, loss_bbox_unlabeled: 0.1686, losses_cls_ig_unlabeled: 0.1394, pseudo_num: 1.6358, pseudo_num_ig: 6.0524, pseudo_num_mining: 0.8818, pseudo_num(acc): 0.7819, pseudo_num ig(acc): 0.3913, loss: 0.8918
2021-11-07 04:00:18,062 - mmdet - INFO - Iter [33800/40000]	lr: 2.000e-02, eta: 3:17:24, time: 1.690, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0321, loss_cls: 0.0674, acc: 97.3666, loss_bbox: 0.1446, loss_rpn_cls_unlabeled: 0.0825, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1567, acc_unlabeled: 92.1035, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1290, pseudo_num: 1.6356, pseudo_num_ig: 6.0524, pseudo_num_mining: 0.8823, pseudo_num(acc): 0.7819, pseudo_num ig(acc): 0.3913, loss: 0.8889
2021-11-07 04:01:44,003 - mmdet - INFO - Iter [33850/40000]	lr: 2.000e-02, eta: 3:15:47, time: 1.716, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0326, loss_cls: 0.0695, acc: 97.2876, loss_bbox: 0.1462, loss_rpn_cls_unlabeled: 0.0795, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1532, acc_unlabeled: 92.1536, loss_bbox_unlabeled: 0.1706, losses_cls_ig_unlabeled: 0.1327, pseudo_num: 1.6355, pseudo_num_ig: 6.0524, pseudo_num_mining: 0.8828, pseudo_num(acc): 0.7820, pseudo_num ig(acc): 0.3914, loss: 0.8851
2021-11-07 04:03:09,891 - mmdet - INFO - Iter [33900/40000]	lr: 2.000e-02, eta: 3:14:10, time: 1.721, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0305, loss_cls: 0.0640, acc: 97.4967, loss_bbox: 0.1350, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0969, loss_cls_unlabeled: 0.1515, acc_unlabeled: 91.8264, loss_bbox_unlabeled: 0.1738, losses_cls_ig_unlabeled: 0.1314, pseudo_num: 1.6354, pseudo_num_ig: 6.0527, pseudo_num_mining: 0.8833, pseudo_num(acc): 0.7821, pseudo_num ig(acc): 0.3914, loss: 0.8760
2021-11-07 04:04:35,864 - mmdet - INFO - Iter [33950/40000]	lr: 2.000e-02, eta: 3:12:33, time: 1.717, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0310, loss_cls: 0.0670, acc: 97.3789, loss_bbox: 0.1390, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1566, acc_unlabeled: 91.9800, loss_bbox_unlabeled: 0.1708, losses_cls_ig_unlabeled: 0.1347, pseudo_num: 1.6353, pseudo_num_ig: 6.0528, pseudo_num_mining: 0.8836, pseudo_num(acc): 0.7821, pseudo_num ig(acc): 0.3914, loss: 0.8810
2021-11-07 04:05:58,343 - mmdet - INFO - pseudo pos: 0.98(66139.0-person) 0.87(1808.0-bicycle) 0.92(9680.0-car) 0.98(1971.0-motorcycle) 0.99(863.0-airplane) 0.99(1358.0-bus) 0.98(1349.0-train) 0.70(2324.0-truck) 0.68(2678.0-boat) 0.87(3540.0-traffic light) 0.99(449.0-fire hydrant) 0.94(500.0-stop sign) 0.77(408.0-parking meter) 0.66(2320.0-bench) 0.93(1875.0-bird) 0.96(1213.0-cat) 0.95(1177.0-dog) 0.97(1629.0-horse) 0.96(1260.0-sheep) 0.86(2540.0-cow) 0.99(960.0-elephant) 0.99(357.0-bear) 0.99(1772.0-zebra) 0.99(1680.0-giraffe) 0.44(2112.0-backpack) 0.81(2780.0-umbrella) 0.44(3292.0-handbag) 0.87(1481.0-tie) 0.69(1740.0-suitcase) 0.92(633.0-frisbee) 0.61(1635.0-skis) 0.27(989.0-snowboard) 0.95(1387.0-sports ball) 0.75(2343.0-kite) 0.82(757.0-baseball bat) 0.81(1018.0-baseball glove) 0.97(1277.0-skateboard) 0.87(1403.0-surfboard) 0.95(784.0-tennis racket) 0.83(5449.0-bottle) 0.93(1579.0-wine glass) 0.80(5938.0-cup) 0.47(892.0-fork) 0.33(2214.0-knife) 0.29(1695.0-spoon) 0.71(5081.0-bowl) 0.62(2439.0-banana) 0.35(2275.0-apple) 0.46(1956.0-sandwich) 0.48(1153.0-orange) 0.66(1560.0-broccoli) 0.41(2022.0-carrot) 0.04(6794.0-hot dog) 0.95(1424.0-pizza) 0.73(2016.0-donut) 0.54(1549.0-cake) 0.63(11739.0-chair) 0.79(1366.0-couch) 0.64(2347.0-potted plant) 0.91(1085.0-bed) 0.68(4998.0-dining table) 0.93(954.0-toilet) 0.96(1534.0-tv) 0.97(1111.0-laptop) 0.96(345.0-mouse) 0.62(1137.0-remote) 0.72(697.0-keyboard) 0.68(1868.0-cell phone) 0.96(447.0-microwave) 0.78(1114.0-oven) 0.14(63.0-toaster) 0.76(1503.0-sink) 0.93(682.0-refrigerator) 0.24(5831.0-book) 0.95(1397.0-clock) 0.89(1381.0-vase) 0.56(401.0-scissors) 0.94(663.0-teddy bear) 0.00(0.0-hair drier) 0.22(689.0-toothbrush)
2021-11-07 04:05:58,344 - mmdet - INFO - pseudo ig: 0.56(246302.0-person) 0.30(7216.0-bicycle) 0.46(39228.0-car) 0.50(7648.0-motorcycle) 0.73(2974.0-airplane) 0.61(5119.0-bus) 0.54(4384.0-train) 0.30(8979.0-truck) 0.28(10510.0-boat) 0.30(14059.0-traffic light) 0.57(1761.0-fire hydrant) 0.51(2018.0-stop sign) 0.22(1317.0-parking meter) 0.18(8819.0-bench) 0.32(6626.0-bird) 0.70(4207.0-cat) 0.63(4127.0-dog) 0.53(6220.0-horse) 0.71(4809.0-sheep) 0.34(10347.0-cow) 0.80(4186.0-elephant) 0.61(1282.0-bear) 0.51(6679.0-zebra) 0.65(5485.0-giraffe) 0.18(8288.0-backpack) 0.33(10813.0-umbrella) 0.13(13438.0-handbag) 0.30(6037.0-tie) 0.21(6802.0-suitcase) 0.43(2652.0-frisbee) 0.28(6269.0-skis) 0.19(2207.0-snowboard) 0.35(5989.0-sports ball) 0.33(9193.0-kite) 0.26(3243.0-baseball bat) 0.27(4075.0-baseball glove) 0.44(4829.0-skateboard) 0.37(5446.0-surfboard) 0.70(3193.0-tennis racket) 0.33(23088.0-bottle) 0.38(6437.0-wine glass) 0.28(23660.0-cup) 0.24(3539.0-fork) 0.12(8855.0-knife) 0.10(7163.0-spoon) 0.26(20102.0-bowl) 0.22(9831.0-banana) 0.14(7788.0-apple) 0.23(4577.0-sandwich) 0.30(3156.0-orange) 0.33(6606.0-broccoli) 0.15(8004.0-carrot) 0.16(1286.0-hot dog) 0.47(5394.0-pizza) 0.27(7259.0-donut) 0.23(5748.0-cake) 0.20(45949.0-chair) 0.34(5168.0-couch) 0.28(9305.0-potted plant) 0.44(3963.0-bed) 0.30(15364.0-dining table) 0.59(4009.0-toilet) 0.49(5506.0-tv) 0.55(4074.0-laptop) 0.59(1295.0-mouse) 0.21(4834.0-remote) 0.48(2634.0-keyboard) 0.21(7047.0-cell phone) 0.37(1764.0-microwave) 0.23(4092.0-oven) 0.14(152.0-toaster) 0.37(5541.0-sink) 0.34(2406.0-refrigerator) 0.11(23035.0-book) 0.58(5261.0-clock) 0.35(5408.0-vase) 0.20(1598.0-scissors) 0.63(2648.0-teddy bear) 0.00(0.0-hair drier) 0.06(2385.0-toothbrush)
2021-11-07 04:05:58,344 - mmdet - INFO - pseudo gt: 297271.0 8203.0 49395.0 10332.0 6012.0 7149.0 5202.0 11342.0 12096.0 14529.0 2131.0 2345.0 1439.0 11528.0 11698.0 5419.0 6257.0 7848.0 10893.0 9546.0 6455.0 1522.0 6176.0 6008.0 10308.0 12678.0 14557.0 7294.0 7057.0 3161.0 7581.0 3092.0 7410.0 10115.0 3762.0 4181.0 6439.0 6788.0 5481.0 27672.0 8977.0 24054.0 6256.0 8876.0 6961.0 16348.0 10597.0 6830.0 4784.0 7323.0 8067.0 9150.0 3341.0 6802.0 7567.0 7155.0 43514.0 6564.0 10010.0 4826.0 18078.0 4793.0 6773.0 5815.0 2667.0 6596.0 3240.0 7498.0 1818.0 3693.0 270.0 6413.0 2986.0 27828.0 7190.0 7375.0 1726.0 5449.0 224.0 2289.0
2021-11-07 04:05:58,345 - mmdet - INFO - pseudo mining: 56049.0 217.0 7560.0 783.0 774.0 1130.0 716.0 321.0 576.0 1781.0 645.0 1269.0 23.0 66.0 308.0 1055.0 563.0 1073.0 2289.0 881.0 2010.0 397.0 1757.0 2000.0 104.0 1040.0 85.0 342.0 82.0 683.0 194.0 33.0 1826.0 2250.0 486.0 749.0 664.0 337.0 1651.0 2226.0 362.0 2139.0 21.0 99.0 43.0 1929.0 276.0 290.0 117.0 792.0 872.0 371.0 1.0 730.0 1231.0 178.0 270.0 174.0 753.0 153.0 415.0 1685.0 1624.0 832.0 584.0 132.0 753.0 479.0 252.0 159.0 3.0 1058.0 150.0 319.0 3149.0 207.0 7.0 851.0 0.0 3.0
2021-11-07 04:06:52,195 - mmdet - INFO - Evaluating bbox...
2021-11-07 04:07:55,467 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.387 | bicycle      | 0.167 | car            | 0.304 |
| motorcycle    | 0.245 | airplane     | 0.387 | bus            | 0.465 |
| train         | 0.422 | truck        | 0.126 | boat           | 0.129 |
| traffic light | 0.195 | fire hydrant | 0.460 | stop sign      | 0.494 |
| parking meter | 0.337 | bench        | 0.136 | bird           | 0.164 |
| cat           | 0.398 | dog          | 0.365 | horse          | 0.389 |
| sheep         | 0.309 | cow          | 0.354 | elephant       | 0.468 |
| bear          | 0.485 | zebra        | 0.472 | giraffe        | 0.523 |
| backpack      | 0.056 | umbrella     | 0.193 | handbag        | 0.047 |
| tie           | 0.178 | suitcase     | 0.122 | frisbee        | 0.424 |
| skis          | 0.083 | snowboard    | 0.073 | sports ball    | 0.289 |
| kite          | 0.237 | baseball bat | 0.126 | baseball glove | 0.217 |
| skateboard    | 0.290 | surfboard    | 0.184 | tennis racket  | 0.246 |
| bottle        | 0.245 | wine glass   | 0.203 | cup            | 0.257 |
| fork          | 0.049 | knife        | 0.038 | spoon          | 0.027 |
| bowl          | 0.278 | banana       | 0.096 | apple          | 0.075 |
| sandwich      | 0.193 | orange       | 0.155 | broccoli       | 0.129 |
| carrot        | 0.058 | hot dog      | 0.052 | pizza          | 0.322 |
| donut         | 0.207 | cake         | 0.107 | chair          | 0.116 |
| couch         | 0.220 | potted plant | 0.107 | bed            | 0.285 |
| dining table  | 0.140 | toilet       | 0.386 | tv             | 0.376 |
| laptop        | 0.363 | mouse        | 0.430 | remote         | 0.072 |
| keyboard      | 0.257 | cell phone   | 0.187 | microwave      | 0.366 |
| oven          | 0.148 | toaster      | 0.037 | sink           | 0.162 |
| refrigerator  | 0.323 | book         | 0.018 | clock          | 0.385 |
| vase          | 0.197 | scissors     | 0.136 | teddy bear     | 0.260 |
| hair drier    | 0.000 | toothbrush   | 0.035 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 04:08:49,020 - mmdet - INFO - Evaluating bbox...
2021-11-07 04:09:49,002 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.395 | bicycle      | 0.188 | car            | 0.317 |
| motorcycle    | 0.264 | airplane     | 0.360 | bus            | 0.493 |
| train         | 0.420 | truck        | 0.145 | boat           | 0.128 |
| traffic light | 0.209 | fire hydrant | 0.487 | stop sign      | 0.495 |
| parking meter | 0.372 | bench        | 0.145 | bird           | 0.181 |
| cat           | 0.439 | dog          | 0.409 | horse          | 0.401 |
| sheep         | 0.306 | cow          | 0.378 | elephant       | 0.463 |
| bear          | 0.518 | zebra        | 0.471 | giraffe        | 0.528 |
| backpack      | 0.062 | umbrella     | 0.209 | handbag        | 0.051 |
| tie           | 0.188 | suitcase     | 0.121 | frisbee        | 0.432 |
| skis          | 0.081 | snowboard    | 0.062 | sports ball    | 0.311 |
| kite          | 0.227 | baseball bat | 0.126 | baseball glove | 0.213 |
| skateboard    | 0.310 | surfboard    | 0.210 | tennis racket  | 0.264 |
| bottle        | 0.248 | wine glass   | 0.204 | cup            | 0.270 |
| fork          | 0.067 | knife        | 0.041 | spoon          | 0.031 |
| bowl          | 0.284 | banana       | 0.101 | apple          | 0.077 |
| sandwich      | 0.204 | orange       | 0.162 | broccoli       | 0.148 |
| carrot        | 0.052 | hot dog      | 0.082 | pizza          | 0.354 |
| donut         | 0.208 | cake         | 0.117 | chair          | 0.121 |
| couch         | 0.262 | potted plant | 0.117 | bed            | 0.311 |
| dining table  | 0.152 | toilet       | 0.409 | tv             | 0.420 |
| laptop        | 0.411 | mouse        | 0.447 | remote         | 0.080 |
| keyboard      | 0.259 | cell phone   | 0.202 | microwave      | 0.369 |
| oven          | 0.183 | toaster      | 0.047 | sink           | 0.166 |
| refrigerator  | 0.356 | book         | 0.025 | clock          | 0.400 |
| vase          | 0.226 | scissors     | 0.153 | teddy bear     | 0.285 |
| hair drier    | 0.000 | toothbrush   | 0.055 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 04:11:11,941 - mmdet - INFO - current percent: 0.2
2021-11-07 04:11:11,941 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.97-parking meter) (0.95-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.96-backpack) (0.99-umbrella) (0.92-handbag) (0.98-tie) (0.96-suitcase) (0.99-frisbee) (0.98-skis) (0.94-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.93-fork) (0.94-knife) (0.96-spoon) (0.99-bowl) (0.97-banana) (0.96-apple) (0.99-sandwich) (0.99-orange) (0.99-broccoli) (0.96-carrot) (0.92-hot dog) (0.99-pizza) (1.00-donut) (0.98-cake) (0.95-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.96-remote) (1.00-keyboard) (0.99-cell phone) (0.99-microwave) (0.99-oven) (0.17-toaster) (1.00-sink) (0.99-refrigerator) (0.96-book) (1.00-clock) (0.99-vase) (0.65-scissors) (1.00-teddy bear) (0.05-hair drier) (0.90-toothbrush)
2021-11-07 04:11:11,942 - mmdet - INFO - update score thr (ignore): (0.15-person) (0.10-bicycle) (0.39-car) (0.13-motorcycle) (0.57-airplane) (0.37-bus) (0.41-train) (0.30-truck) (0.19-boat) (0.27-traffic light) (0.70-fire hydrant) (0.57-stop sign) (0.05-parking meter) (0.18-bench) (0.09-bird) (0.54-cat) (0.38-dog) (0.25-horse) (0.70-sheep) (0.23-cow) (0.31-elephant) (0.46-bear) (0.06-zebra) (0.09-giraffe) (0.36-backpack) (0.14-umbrella) (0.20-handbag) (0.17-tie) (0.22-suitcase) (0.47-frisbee) (0.23-skis) (0.17-snowboard) (0.33-sports ball) (0.60-kite) (0.50-baseball bat) (0.55-baseball glove) (0.27-skateboard) (0.25-surfboard) (0.57-tennis racket) (0.42-bottle) (0.08-wine glass) (0.29-cup) (0.07-fork) (0.27-knife) (0.27-spoon) (0.43-bowl) (0.17-banana) (0.16-apple) (0.40-sandwich) (0.40-orange) (0.40-broccoli) (0.56-carrot) (0.31-hot dog) (0.29-pizza) (0.60-donut) (0.25-cake) (0.14-chair) (0.40-couch) (0.33-potted plant) (0.33-bed) (0.32-dining table) (0.69-toilet) (0.64-tv) (0.42-laptop) (0.88-mouse) (0.23-remote) (0.88-keyboard) (0.50-cell phone) (0.41-microwave) (0.36-oven) (0.05-toaster) (0.58-sink) (0.43-refrigerator) (0.28-book) (0.80-clock) (0.30-vase) (0.08-scissors) (0.66-teddy bear) (0.05-hair drier) (0.21-toothbrush)
2021-11-07 04:11:12,254 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 04:11:12,255 - mmdet - INFO - Iter [34000/40000]	lr: 2.000e-02, eta: 3:10:55, time: 1.683, data_time: 0.030, memory: 26488, bbox_mAP: 0.2440, bbox_mAP_50: 0.4190, bbox_mAP_75: 0.2560, bbox_mAP_s: 0.1210, bbox_mAP_m: 0.2670, bbox_mAP_l: 0.3330, bbox_mAP_copypaste: 0.244 0.419 0.256 0.121 0.267 0.333, loss_rpn_cls: 0.0103, loss_rpn_bbox: 0.0327, loss_cls: 0.0695, acc: 97.2853, loss_bbox: 0.1456, loss_rpn_cls_unlabeled: 0.0830, loss_rpn_bbox_unlabeled: 0.0944, loss_cls_unlabeled: 0.1656, acc_unlabeled: 91.6675, loss_bbox_unlabeled: 0.1786, losses_cls_ig_unlabeled: 0.1371, pseudo_num: 1.6352, pseudo_num_ig: 6.0529, pseudo_num_mining: 0.8841, pseudo_num(acc): 0.7822, pseudo_num ig(acc): 0.3914, loss: 0.9169
2021-11-07 04:12:36,182 - mmdet - INFO - Iter [34050/40000]	lr: 2.000e-02, eta: 3:10:12, time: 7.924, data_time: 6.274, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0324, loss_cls: 0.0709, acc: 97.2321, loss_bbox: 0.1445, loss_rpn_cls_unlabeled: 0.0757, loss_rpn_bbox_unlabeled: 0.0881, loss_cls_unlabeled: 0.1580, acc_unlabeled: 92.1478, loss_bbox_unlabeled: 0.1724, losses_cls_ig_unlabeled: 0.1368, pseudo_num: 1.6350, pseudo_num_ig: 6.0527, pseudo_num_mining: 0.8845, pseudo_num(acc): 0.7822, pseudo_num ig(acc): 0.3914, loss: 0.8886
2021-11-07 04:14:01,210 - mmdet - INFO - Iter [34100/40000]	lr: 2.000e-02, eta: 3:08:34, time: 1.700, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0318, loss_cls: 0.0684, acc: 97.3344, loss_bbox: 0.1423, loss_rpn_cls_unlabeled: 0.0758, loss_rpn_bbox_unlabeled: 0.0895, loss_cls_unlabeled: 0.1520, acc_unlabeled: 92.1742, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1281, pseudo_num: 1.6348, pseudo_num_ig: 6.0523, pseudo_num_mining: 0.8850, pseudo_num(acc): 0.7823, pseudo_num ig(acc): 0.3914, loss: 0.8707
2021-11-07 04:15:29,329 - mmdet - INFO - Iter [34150/40000]	lr: 2.000e-02, eta: 3:06:57, time: 1.762, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0316, loss_cls: 0.0688, acc: 97.3201, loss_bbox: 0.1440, loss_rpn_cls_unlabeled: 0.0795, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1512, acc_unlabeled: 92.1198, loss_bbox_unlabeled: 0.1684, losses_cls_ig_unlabeled: 0.1299, pseudo_num: 1.6346, pseudo_num_ig: 6.0523, pseudo_num_mining: 0.8855, pseudo_num(acc): 0.7824, pseudo_num ig(acc): 0.3915, loss: 0.8730
2021-11-07 04:16:53,437 - mmdet - INFO - Iter [34200/40000]	lr: 2.000e-02, eta: 3:05:19, time: 1.683, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0316, loss_cls: 0.0677, acc: 97.3599, loss_bbox: 0.1426, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0895, loss_cls_unlabeled: 0.1593, acc_unlabeled: 92.2163, loss_bbox_unlabeled: 0.1737, losses_cls_ig_unlabeled: 0.1331, pseudo_num: 1.6344, pseudo_num_ig: 6.0522, pseudo_num_mining: 0.8860, pseudo_num(acc): 0.7825, pseudo_num ig(acc): 0.3915, loss: 0.8912
2021-11-07 04:18:17,529 - mmdet - INFO - Iter [34250/40000]	lr: 2.000e-02, eta: 3:03:41, time: 1.680, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0310, loss_cls: 0.0637, acc: 97.5239, loss_bbox: 0.1376, loss_rpn_cls_unlabeled: 0.0818, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1439, acc_unlabeled: 92.3365, loss_bbox_unlabeled: 0.1610, losses_cls_ig_unlabeled: 0.1323, pseudo_num: 1.6342, pseudo_num_ig: 6.0519, pseudo_num_mining: 0.8865, pseudo_num(acc): 0.7825, pseudo_num ig(acc): 0.3915, loss: 0.8507
2021-11-07 04:19:45,663 - mmdet - INFO - Iter [34300/40000]	lr: 2.000e-02, eta: 3:02:04, time: 1.765, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0307, loss_cls: 0.0664, acc: 97.3881, loss_bbox: 0.1389, loss_rpn_cls_unlabeled: 0.0779, loss_rpn_bbox_unlabeled: 0.0907, loss_cls_unlabeled: 0.1529, acc_unlabeled: 92.1177, loss_bbox_unlabeled: 0.1694, losses_cls_ig_unlabeled: 0.1365, pseudo_num: 1.6339, pseudo_num_ig: 6.0517, pseudo_num_mining: 0.8869, pseudo_num(acc): 0.7826, pseudo_num ig(acc): 0.3916, loss: 0.8727
2021-11-07 04:21:11,663 - mmdet - INFO - Iter [34350/40000]	lr: 2.000e-02, eta: 3:00:27, time: 1.718, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0305, loss_cls: 0.0638, acc: 97.5291, loss_bbox: 0.1354, loss_rpn_cls_unlabeled: 0.0785, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1472, acc_unlabeled: 92.1267, loss_bbox_unlabeled: 0.1633, losses_cls_ig_unlabeled: 0.1372, pseudo_num: 1.6338, pseudo_num_ig: 6.0517, pseudo_num_mining: 0.8873, pseudo_num(acc): 0.7827, pseudo_num ig(acc): 0.3916, loss: 0.8578
2021-11-07 04:22:37,394 - mmdet - INFO - Iter [34400/40000]	lr: 2.000e-02, eta: 2:58:49, time: 1.712, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0316, loss_cls: 0.0657, acc: 97.4349, loss_bbox: 0.1383, loss_rpn_cls_unlabeled: 0.0730, loss_rpn_bbox_unlabeled: 0.0871, loss_cls_unlabeled: 0.1509, acc_unlabeled: 92.0259, loss_bbox_unlabeled: 0.1710, losses_cls_ig_unlabeled: 0.1360, pseudo_num: 1.6335, pseudo_num_ig: 6.0513, pseudo_num_mining: 0.8877, pseudo_num(acc): 0.7828, pseudo_num ig(acc): 0.3916, loss: 0.8630
2021-11-07 04:24:00,859 - mmdet - INFO - Iter [34450/40000]	lr: 2.000e-02, eta: 2:57:12, time: 1.674, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0306, loss_cls: 0.0649, acc: 97.4706, loss_bbox: 0.1396, loss_rpn_cls_unlabeled: 0.0751, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1560, acc_unlabeled: 92.0273, loss_bbox_unlabeled: 0.1742, losses_cls_ig_unlabeled: 0.1359, pseudo_num: 1.6333, pseudo_num_ig: 6.0511, pseudo_num_mining: 0.8882, pseudo_num(acc): 0.7828, pseudo_num ig(acc): 0.3916, loss: 0.8762
2021-11-07 04:25:23,688 - mmdet - INFO - pseudo pos: 0.98(67050.0-person) 0.87(1840.0-bicycle) 0.92(9829.0-car) 0.98(2000.0-motorcycle) 0.99(874.0-airplane) 0.99(1377.0-bus) 0.98(1368.0-train) 0.70(2359.0-truck) 0.68(2715.0-boat) 0.87(3596.0-traffic light) 0.99(456.0-fire hydrant) 0.94(508.0-stop sign) 0.78(411.0-parking meter) 0.66(2354.0-bench) 0.93(1908.0-bird) 0.96(1233.0-cat) 0.95(1192.0-dog) 0.97(1655.0-horse) 0.96(1273.0-sheep) 0.86(2585.0-cow) 0.99(971.0-elephant) 0.99(361.0-bear) 0.99(1797.0-zebra) 0.99(1720.0-giraffe) 0.44(2132.0-backpack) 0.81(2820.0-umbrella) 0.44(3325.0-handbag) 0.87(1503.0-tie) 0.69(1771.0-suitcase) 0.92(647.0-frisbee) 0.61(1652.0-skis) 0.28(994.0-snowboard) 0.95(1401.0-sports ball) 0.75(2366.0-kite) 0.82(772.0-baseball bat) 0.81(1030.0-baseball glove) 0.97(1289.0-skateboard) 0.87(1417.0-surfboard) 0.95(796.0-tennis racket) 0.83(5509.0-bottle) 0.93(1598.0-wine glass) 0.80(6029.0-cup) 0.47(906.0-fork) 0.33(2241.0-knife) 0.30(1712.0-spoon) 0.71(5148.0-bowl) 0.61(2461.0-banana) 0.35(2291.0-apple) 0.46(1974.0-sandwich) 0.48(1158.0-orange) 0.66(1593.0-broccoli) 0.41(2056.0-carrot) 0.04(6795.0-hot dog) 0.95(1445.0-pizza) 0.73(2022.0-donut) 0.54(1566.0-cake) 0.63(11891.0-chair) 0.79(1381.0-couch) 0.64(2386.0-potted plant) 0.91(1107.0-bed) 0.68(5044.0-dining table) 0.93(966.0-toilet) 0.96(1546.0-tv) 0.97(1119.0-laptop) 0.96(349.0-mouse) 0.63(1150.0-remote) 0.72(700.0-keyboard) 0.68(1882.0-cell phone) 0.96(449.0-microwave) 0.79(1133.0-oven) 0.14(66.0-toaster) 0.76(1526.0-sink) 0.93(697.0-refrigerator) 0.24(5903.0-book) 0.95(1417.0-clock) 0.89(1397.0-vase) 0.56(455.0-scissors) 0.93(681.0-teddy bear) 0.00(0.0-hair drier) 0.23(695.0-toothbrush)
2021-11-07 04:25:23,689 - mmdet - INFO - pseudo ig: 0.56(249918.0-person) 0.30(7337.0-bicycle) 0.46(39773.0-car) 0.50(7805.0-motorcycle) 0.73(3020.0-airplane) 0.61(5177.0-bus) 0.54(4437.0-train) 0.30(9105.0-truck) 0.28(10651.0-boat) 0.30(14277.0-traffic light) 0.57(1779.0-fire hydrant) 0.51(2057.0-stop sign) 0.22(1331.0-parking meter) 0.18(8921.0-bench) 0.32(6751.0-bird) 0.70(4273.0-cat) 0.63(4188.0-dog) 0.53(6297.0-horse) 0.71(4872.0-sheep) 0.34(10514.0-cow) 0.80(4245.0-elephant) 0.61(1303.0-bear) 0.51(6774.0-zebra) 0.65(5571.0-giraffe) 0.18(8392.0-backpack) 0.33(10953.0-umbrella) 0.13(13595.0-handbag) 0.30(6146.0-tie) 0.21(6883.0-suitcase) 0.43(2685.0-frisbee) 0.28(6368.0-skis) 0.19(2229.0-snowboard) 0.35(6098.0-sports ball) 0.33(9304.0-kite) 0.27(3294.0-baseball bat) 0.27(4123.0-baseball glove) 0.45(4875.0-skateboard) 0.37(5503.0-surfboard) 0.70(3239.0-tennis racket) 0.33(23396.0-bottle) 0.38(6579.0-wine glass) 0.28(24029.0-cup) 0.24(3596.0-fork) 0.12(8975.0-knife) 0.10(7279.0-spoon) 0.27(20360.0-bowl) 0.22(9938.0-banana) 0.14(7973.0-apple) 0.24(4621.0-sandwich) 0.30(3244.0-orange) 0.33(6735.0-broccoli) 0.15(8118.0-carrot) 0.16(1302.0-hot dog) 0.47(5466.0-pizza) 0.28(7432.0-donut) 0.23(5823.0-cake) 0.20(46592.0-chair) 0.34(5216.0-couch) 0.28(9429.0-potted plant) 0.44(4033.0-bed) 0.30(15574.0-dining table) 0.59(4075.0-toilet) 0.49(5581.0-tv) 0.55(4138.0-laptop) 0.59(1313.0-mouse) 0.21(4891.0-remote) 0.48(2663.0-keyboard) 0.21(7129.0-cell phone) 0.37(1803.0-microwave) 0.24(4154.0-oven) 0.14(162.0-toaster) 0.37(5631.0-sink) 0.34(2443.0-refrigerator) 0.11(23349.0-book) 0.58(5346.0-clock) 0.35(5472.0-vase) 0.21(1655.0-scissors) 0.63(2702.0-teddy bear) 0.00(0.0-hair drier) 0.06(2418.0-toothbrush)
2021-11-07 04:25:23,690 - mmdet - INFO - pseudo gt: 301485.0 8340.0 50118.0 10525.0 6091.0 7229.0 5291.0 11499.0 12253.0 14724.0 2156.0 2378.0 1455.0 11703.0 11909.0 5501.0 6334.0 7944.0 11010.0 9686.0 6518.0 1544.0 6255.0 6123.0 10440.0 12818.0 14735.0 7443.0 7166.0 3203.0 7679.0 3136.0 7522.0 10246.0 3825.0 4240.0 6514.0 6868.0 5569.0 28049.0 9156.0 24405.0 6351.0 9045.0 7068.0 16618.0 10716.0 6928.0 4900.0 7448.0 8235.0 9290.0 3414.0 6899.0 7743.0 7242.0 44083.0 6655.0 10136.0 4888.0 18337.0 4867.0 6868.0 5895.0 2704.0 6662.0 3287.0 7609.0 1855.0 3761.0 271.0 6518.0 3032.0 28249.0 7324.0 7475.0 1783.0 5574.0 228.0 2320.0
2021-11-07 04:25:23,690 - mmdet - INFO - pseudo mining: 57029.0 220.0 7724.0 802.0 795.0 1143.0 735.0 331.0 583.0 1820.0 656.0 1294.0 23.0 66.0 320.0 1081.0 574.0 1098.0 2324.0 895.0 2037.0 402.0 1778.0 2039.0 105.0 1059.0 91.0 347.0 85.0 687.0 199.0 33.0 1861.0 2281.0 498.0 768.0 673.0 342.0 1675.0 2288.0 376.0 2186.0 21.0 100.0 50.0 1969.0 278.0 298.0 121.0 820.0 898.0 383.0 1.0 736.0 1301.0 182.0 282.0 175.0 777.0 160.0 432.0 1726.0 1656.0 848.0 596.0 134.0 769.0 492.0 260.0 162.0 3.0 1085.0 153.0 332.0 3226.0 213.0 7.0 876.0 0.0 3.0
2021-11-07 04:25:25,023 - mmdet - INFO - Iter [34500/40000]	lr: 2.000e-02, eta: 2:55:34, time: 1.684, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0321, loss_cls: 0.0693, acc: 97.3192, loss_bbox: 0.1439, loss_rpn_cls_unlabeled: 0.0777, loss_rpn_bbox_unlabeled: 0.0856, loss_cls_unlabeled: 0.1517, acc_unlabeled: 92.2789, loss_bbox_unlabeled: 0.1725, losses_cls_ig_unlabeled: 0.1310, pseudo_num: 1.6332, pseudo_num_ig: 6.0508, pseudo_num_mining: 0.8886, pseudo_num(acc): 0.7829, pseudo_num ig(acc): 0.3917, loss: 0.8734
2021-11-07 04:26:50,843 - mmdet - INFO - Iter [34550/40000]	lr: 2.000e-02, eta: 2:53:57, time: 1.714, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0327, loss_cls: 0.0663, acc: 97.4130, loss_bbox: 0.1411, loss_rpn_cls_unlabeled: 0.0791, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1538, acc_unlabeled: 92.0863, loss_bbox_unlabeled: 0.1720, losses_cls_ig_unlabeled: 0.1351, pseudo_num: 1.6330, pseudo_num_ig: 6.0506, pseudo_num_mining: 0.8890, pseudo_num(acc): 0.7830, pseudo_num ig(acc): 0.3917, loss: 0.8792
2021-11-07 04:28:15,191 - mmdet - INFO - Iter [34600/40000]	lr: 2.000e-02, eta: 2:52:19, time: 1.689, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0311, loss_cls: 0.0644, acc: 97.4944, loss_bbox: 0.1346, loss_rpn_cls_unlabeled: 0.0807, loss_rpn_bbox_unlabeled: 0.0924, loss_cls_unlabeled: 0.1560, acc_unlabeled: 92.1960, loss_bbox_unlabeled: 0.1753, losses_cls_ig_unlabeled: 0.1315, pseudo_num: 1.6329, pseudo_num_ig: 6.0506, pseudo_num_mining: 0.8896, pseudo_num(acc): 0.7830, pseudo_num ig(acc): 0.3917, loss: 0.8753
2021-11-07 04:29:37,913 - mmdet - INFO - Iter [34650/40000]	lr: 2.000e-02, eta: 2:50:41, time: 1.653, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0307, loss_cls: 0.0665, acc: 97.4235, loss_bbox: 0.1396, loss_rpn_cls_unlabeled: 0.0746, loss_rpn_bbox_unlabeled: 0.0864, loss_cls_unlabeled: 0.1563, acc_unlabeled: 92.1140, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1324, pseudo_num: 1.6327, pseudo_num_ig: 6.0504, pseudo_num_mining: 0.8900, pseudo_num(acc): 0.7831, pseudo_num ig(acc): 0.3918, loss: 0.8692
2021-11-07 04:31:02,199 - mmdet - INFO - Iter [34700/40000]	lr: 2.000e-02, eta: 2:49:04, time: 1.684, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0312, loss_cls: 0.0640, acc: 97.4966, loss_bbox: 0.1391, loss_rpn_cls_unlabeled: 0.0789, loss_rpn_bbox_unlabeled: 0.0897, loss_cls_unlabeled: 0.1478, acc_unlabeled: 92.3842, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1301, pseudo_num: 1.6326, pseudo_num_ig: 6.0498, pseudo_num_mining: 0.8904, pseudo_num(acc): 0.7832, pseudo_num ig(acc): 0.3918, loss: 0.8631
2021-11-07 04:32:27,815 - mmdet - INFO - Iter [34750/40000]	lr: 2.000e-02, eta: 2:47:27, time: 1.715, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0086, loss_rpn_bbox: 0.0311, loss_cls: 0.0656, acc: 97.4645, loss_bbox: 0.1385, loss_rpn_cls_unlabeled: 0.0784, loss_rpn_bbox_unlabeled: 0.0903, loss_cls_unlabeled: 0.1517, acc_unlabeled: 92.2241, loss_bbox_unlabeled: 0.1701, losses_cls_ig_unlabeled: 0.1279, pseudo_num: 1.6324, pseudo_num_ig: 6.0495, pseudo_num_mining: 0.8908, pseudo_num(acc): 0.7832, pseudo_num ig(acc): 0.3918, loss: 0.8621
2021-11-07 04:33:54,884 - mmdet - INFO - Iter [34800/40000]	lr: 2.000e-02, eta: 2:45:50, time: 1.739, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0325, loss_cls: 0.0684, acc: 97.3209, loss_bbox: 0.1401, loss_rpn_cls_unlabeled: 0.0795, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1597, acc_unlabeled: 91.8652, loss_bbox_unlabeled: 0.1760, losses_cls_ig_unlabeled: 0.1386, pseudo_num: 1.6323, pseudo_num_ig: 6.0495, pseudo_num_mining: 0.8913, pseudo_num(acc): 0.7833, pseudo_num ig(acc): 0.3919, loss: 0.8965
2021-11-07 04:35:18,685 - mmdet - INFO - Iter [34850/40000]	lr: 2.000e-02, eta: 2:44:12, time: 1.679, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0088, loss_rpn_bbox: 0.0324, loss_cls: 0.0681, acc: 97.3287, loss_bbox: 0.1430, loss_rpn_cls_unlabeled: 0.0716, loss_rpn_bbox_unlabeled: 0.0856, loss_cls_unlabeled: 0.1507, acc_unlabeled: 92.1406, loss_bbox_unlabeled: 0.1649, losses_cls_ig_unlabeled: 0.1360, pseudo_num: 1.6321, pseudo_num_ig: 6.0494, pseudo_num_mining: 0.8918, pseudo_num(acc): 0.7833, pseudo_num ig(acc): 0.3919, loss: 0.8612
2021-11-07 04:36:45,202 - mmdet - INFO - Iter [34900/40000]	lr: 2.000e-02, eta: 2:42:35, time: 1.727, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0304, loss_cls: 0.0659, acc: 97.4453, loss_bbox: 0.1381, loss_rpn_cls_unlabeled: 0.0826, loss_rpn_bbox_unlabeled: 0.0874, loss_cls_unlabeled: 0.1562, acc_unlabeled: 92.1145, loss_bbox_unlabeled: 0.1716, losses_cls_ig_unlabeled: 0.1348, pseudo_num: 1.6319, pseudo_num_ig: 6.0493, pseudo_num_mining: 0.8922, pseudo_num(acc): 0.7834, pseudo_num ig(acc): 0.3919, loss: 0.8760
2021-11-07 04:38:11,624 - mmdet - INFO - Iter [34950/40000]	lr: 2.000e-02, eta: 2:40:58, time: 1.729, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0089, loss_rpn_bbox: 0.0291, loss_cls: 0.0638, acc: 97.5199, loss_bbox: 0.1370, loss_rpn_cls_unlabeled: 0.0769, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1595, acc_unlabeled: 91.8929, loss_bbox_unlabeled: 0.1730, losses_cls_ig_unlabeled: 0.1401, pseudo_num: 1.6318, pseudo_num_ig: 6.0492, pseudo_num_mining: 0.8927, pseudo_num(acc): 0.7835, pseudo_num ig(acc): 0.3919, loss: 0.8805
2021-11-07 04:39:35,191 - mmdet - INFO - pseudo pos: 0.98(68017.0-person) 0.87(1877.0-bicycle) 0.92(9963.0-car) 0.98(2023.0-motorcycle) 0.99(886.0-airplane) 0.99(1390.0-bus) 0.98(1393.0-train) 0.70(2398.0-truck) 0.68(2753.0-boat) 0.87(3639.0-traffic light) 0.99(464.0-fire hydrant) 0.94(520.0-stop sign) 0.78(414.0-parking meter) 0.66(2396.0-bench) 0.93(1938.0-bird) 0.96(1256.0-cat) 0.95(1218.0-dog) 0.97(1678.0-horse) 0.96(1289.0-sheep) 0.87(2626.0-cow) 0.99(992.0-elephant) 0.99(363.0-bear) 0.99(1823.0-zebra) 0.99(1745.0-giraffe) 0.44(2157.0-backpack) 0.81(2870.0-umbrella) 0.44(3383.0-handbag) 0.87(1530.0-tie) 0.69(1784.0-suitcase) 0.92(667.0-frisbee) 0.61(1673.0-skis) 0.28(997.0-snowboard) 0.95(1417.0-sports ball) 0.75(2396.0-kite) 0.82(784.0-baseball bat) 0.82(1046.0-baseball glove) 0.97(1307.0-skateboard) 0.87(1437.0-surfboard) 0.95(810.0-tennis racket) 0.83(5592.0-bottle) 0.94(1608.0-wine glass) 0.80(6111.0-cup) 0.47(918.0-fork) 0.33(2282.0-knife) 0.30(1730.0-spoon) 0.71(5224.0-bowl) 0.62(2492.0-banana) 0.35(2332.0-apple) 0.47(1989.0-sandwich) 0.48(1178.0-orange) 0.66(1621.0-broccoli) 0.41(2098.0-carrot) 0.04(6797.0-hot dog) 0.95(1466.0-pizza) 0.73(2034.0-donut) 0.54(1582.0-cake) 0.63(12031.0-chair) 0.79(1393.0-couch) 0.64(2414.0-potted plant) 0.91(1122.0-bed) 0.68(5110.0-dining table) 0.93(976.0-toilet) 0.96(1561.0-tv) 0.97(1131.0-laptop) 0.96(356.0-mouse) 0.62(1161.0-remote) 0.73(709.0-keyboard) 0.68(1910.0-cell phone) 0.96(450.0-microwave) 0.79(1143.0-oven) 0.13(68.0-toaster) 0.76(1549.0-sink) 0.93(704.0-refrigerator) 0.24(5970.0-book) 0.95(1434.0-clock) 0.89(1414.0-vase) 0.55(475.0-scissors) 0.93(689.0-teddy bear) 0.00(0.0-hair drier) 0.23(703.0-toothbrush)
2021-11-07 04:39:35,191 - mmdet - INFO - pseudo ig: 0.56(253639.0-person) 0.30(7487.0-bicycle) 0.46(40341.0-car) 0.49(7935.0-motorcycle) 0.73(3068.0-airplane) 0.61(5257.0-bus) 0.54(4500.0-train) 0.30(9264.0-truck) 0.28(10825.0-boat) 0.30(14478.0-traffic light) 0.57(1796.0-fire hydrant) 0.51(2087.0-stop sign) 0.22(1344.0-parking meter) 0.18(9033.0-bench) 0.32(6867.0-bird) 0.70(4319.0-cat) 0.63(4254.0-dog) 0.53(6390.0-horse) 0.71(4978.0-sheep) 0.34(10669.0-cow) 0.80(4337.0-elephant) 0.61(1319.0-bear) 0.51(6898.0-zebra) 0.65(5646.0-giraffe) 0.18(8502.0-backpack) 0.33(11136.0-umbrella) 0.13(13795.0-handbag) 0.30(6228.0-tie) 0.21(6963.0-suitcase) 0.43(2728.0-frisbee) 0.28(6481.0-skis) 0.19(2263.0-snowboard) 0.34(6201.0-sports ball) 0.33(9373.0-kite) 0.26(3328.0-baseball bat) 0.27(4168.0-baseball glove) 0.45(4942.0-skateboard) 0.37(5577.0-surfboard) 0.70(3270.0-tennis racket) 0.33(23681.0-bottle) 0.38(6658.0-wine glass) 0.28(24337.0-cup) 0.24(3657.0-fork) 0.12(9094.0-knife) 0.10(7365.0-spoon) 0.27(20603.0-bowl) 0.22(10070.0-banana) 0.14(8160.0-apple) 0.24(4658.0-sandwich) 0.30(3298.0-orange) 0.33(6845.0-broccoli) 0.15(8245.0-carrot) 0.16(1311.0-hot dog) 0.47(5563.0-pizza) 0.28(7517.0-donut) 0.23(5889.0-cake) 0.20(47235.0-chair) 0.34(5278.0-couch) 0.28(9552.0-potted plant) 0.44(4085.0-bed) 0.30(15774.0-dining table) 0.59(4127.0-toilet) 0.49(5656.0-tv) 0.55(4201.0-laptop) 0.60(1325.0-mouse) 0.22(4947.0-remote) 0.48(2690.0-keyboard) 0.21(7223.0-cell phone) 0.37(1824.0-microwave) 0.24(4206.0-oven) 0.14(172.0-toaster) 0.37(5676.0-sink) 0.34(2480.0-refrigerator) 0.11(23664.0-book) 0.58(5421.0-clock) 0.35(5535.0-vase) 0.20(1721.0-scissors) 0.63(2735.0-teddy bear) 0.00(0.0-hair drier) 0.06(2439.0-toothbrush)
2021-11-07 04:39:35,192 - mmdet - INFO - pseudo gt: 305868.0 8492.0 50886.0 10668.0 6187.0 7334.0 5382.0 11692.0 12433.0 14941.0 2183.0 2409.0 1477.0 11886.0 12122.0 5573.0 6452.0 8054.0 11161.0 9810.0 6666.0 1558.0 6361.0 6210.0 10596.0 13056.0 14934.0 7556.0 7255.0 3257.0 7787.0 3168.0 7592.0 10333.0 3862.0 4286.0 6614.0 6970.0 5639.0 28432.0 9233.0 24764.0 6448.0 9174.0 7179.0 16846.0 10864.0 7055.0 4967.0 7572.0 8402.0 9489.0 3440.0 7000.0 7824.0 7324.0 44761.0 6737.0 10273.0 4956.0 18600.0 4940.0 6977.0 5971.0 2742.0 6762.0 3337.0 7747.0 1870.0 3817.0 279.0 6589.0 3071.0 28657.0 7430.0 7591.0 1810.0 5664.0 230.0 2338.0
2021-11-07 04:39:35,192 - mmdet - INFO - pseudo mining: 58025.0 222.0 7887.0 820.0 811.0 1165.0 751.0 340.0 590.0 1859.0 666.0 1306.0 23.0 68.0 327.0 1099.0 592.0 1128.0 2381.0 910.0 2089.0 406.0 1815.0 2069.0 112.0 1077.0 91.0 352.0 87.0 704.0 209.0 35.0 1888.0 2305.0 507.0 780.0 690.0 346.0 1693.0 2332.0 382.0 2230.0 21.0 102.0 52.0 2024.0 283.0 302.0 126.0 832.0 917.0 396.0 1.0 752.0 1323.0 185.0 294.0 178.0 795.0 167.0 444.0 1758.0 1687.0 868.0 606.0 138.0 785.0 508.0 264.0 168.0 3.0 1098.0 157.0 342.0 3289.0 216.0 7.0 884.0 0.0 3.0
2021-11-07 04:40:59,395 - mmdet - INFO - current percent: 0.2
2021-11-07 04:40:59,395 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.75-parking meter) (0.97-bench) (0.99-bird) (1.00-cat) (1.00-dog) (1.00-horse) (0.99-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.94-backpack) (1.00-umbrella) (0.90-handbag) (0.99-tie) (0.98-suitcase) (1.00-frisbee) (0.98-skis) (0.71-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.97-fork) (0.92-knife) (0.94-spoon) (0.99-bowl) (0.92-banana) (0.96-apple) (0.99-sandwich) (0.97-orange) (0.98-broccoli) (0.97-carrot) (0.95-hot dog) (0.99-pizza) (0.99-donut) (0.97-cake) (0.90-chair) (0.97-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.89-remote) (1.00-keyboard) (0.99-cell phone) (0.98-microwave) (0.99-oven) (0.90-toaster) (1.00-sink) (0.99-refrigerator) (0.95-book) (1.00-clock) (0.97-vase) (0.99-scissors) (1.00-teddy bear) (0.05-hair drier) (0.77-toothbrush)
2021-11-07 04:40:59,395 - mmdet - INFO - update score thr (ignore): (0.16-person) (0.09-bicycle) (0.35-car) (0.17-motorcycle) (0.49-airplane) (0.44-bus) (0.27-train) (0.32-truck) (0.26-boat) (0.26-traffic light) (0.65-fire hydrant) (0.76-stop sign) (0.05-parking meter) (0.20-bench) (0.08-bird) (0.42-cat) (0.42-dog) (0.27-horse) (0.74-sheep) (0.31-cow) (0.59-elephant) (0.57-bear) (0.05-zebra) (0.14-giraffe) (0.32-backpack) (0.20-umbrella) (0.20-handbag) (0.18-tie) (0.19-suitcase) (0.54-frisbee) (0.19-skis) (0.11-snowboard) (0.35-sports ball) (0.42-kite) (0.32-baseball bat) (0.48-baseball glove) (0.27-skateboard) (0.26-surfboard) (0.39-tennis racket) (0.31-bottle) (0.13-wine glass) (0.22-cup) (0.09-fork) (0.28-knife) (0.19-spoon) (0.32-bowl) (0.06-banana) (0.25-apple) (0.31-sandwich) (0.25-orange) (0.28-broccoli) (0.55-carrot) (0.40-hot dog) (0.40-pizza) (0.56-donut) (0.19-cake) (0.10-chair) (0.21-couch) (0.29-potted plant) (0.38-bed) (0.22-dining table) (0.79-toilet) (0.56-tv) (0.42-laptop) (0.57-mouse) (0.15-remote) (0.56-keyboard) (0.51-cell phone) (0.37-microwave) (0.30-oven) (0.52-toaster) (0.48-sink) (0.36-refrigerator) (0.24-book) (0.54-clock) (0.13-vase) (0.38-scissors) (0.92-teddy bear) (0.05-hair drier) (0.10-toothbrush)
2021-11-07 04:41:00,027 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 04:41:00,027 - mmdet - INFO - Iter [35000/40000]	lr: 2.000e-02, eta: 2:39:21, time: 1.704, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0296, loss_cls: 0.0671, acc: 97.4108, loss_bbox: 0.1400, loss_rpn_cls_unlabeled: 0.0765, loss_rpn_bbox_unlabeled: 0.0861, loss_cls_unlabeled: 0.1590, acc_unlabeled: 91.9401, loss_bbox_unlabeled: 0.1741, losses_cls_ig_unlabeled: 0.1406, pseudo_num: 1.6316, pseudo_num_ig: 6.0492, pseudo_num_mining: 0.8931, pseudo_num(acc): 0.7835, pseudo_num ig(acc): 0.3920, loss: 0.8823
2021-11-07 04:42:23,505 - mmdet - INFO - Iter [35050/40000]	lr: 2.000e-02, eta: 2:37:56, time: 3.333, data_time: 1.693, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0313, loss_cls: 0.0663, acc: 97.4117, loss_bbox: 0.1386, loss_rpn_cls_unlabeled: 0.0886, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1671, acc_unlabeled: 91.8459, loss_bbox_unlabeled: 0.1820, losses_cls_ig_unlabeled: 0.1348, pseudo_num: 1.6316, pseudo_num_ig: 6.0491, pseudo_num_mining: 0.8936, pseudo_num(acc): 0.7836, pseudo_num ig(acc): 0.3920, loss: 0.9143
2021-11-07 04:43:49,082 - mmdet - INFO - Iter [35100/40000]	lr: 2.000e-02, eta: 2:36:18, time: 1.713, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0306, loss_cls: 0.0641, acc: 97.4900, loss_bbox: 0.1371, loss_rpn_cls_unlabeled: 0.0822, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1619, acc_unlabeled: 92.0306, loss_bbox_unlabeled: 0.1783, losses_cls_ig_unlabeled: 0.1289, pseudo_num: 1.6315, pseudo_num_ig: 6.0491, pseudo_num_mining: 0.8940, pseudo_num(acc): 0.7836, pseudo_num ig(acc): 0.3920, loss: 0.8844
2021-11-07 04:45:13,057 - mmdet - INFO - Iter [35150/40000]	lr: 2.000e-02, eta: 2:34:41, time: 1.682, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0317, loss_cls: 0.0635, acc: 97.5392, loss_bbox: 0.1390, loss_rpn_cls_unlabeled: 0.0822, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1569, acc_unlabeled: 91.8943, loss_bbox_unlabeled: 0.1787, losses_cls_ig_unlabeled: 0.1367, pseudo_num: 1.6315, pseudo_num_ig: 6.0491, pseudo_num_mining: 0.8943, pseudo_num(acc): 0.7836, pseudo_num ig(acc): 0.3920, loss: 0.8896
2021-11-07 04:46:36,945 - mmdet - INFO - Iter [35200/40000]	lr: 2.000e-02, eta: 2:33:04, time: 1.677, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0290, loss_cls: 0.0638, acc: 97.5132, loss_bbox: 0.1339, loss_rpn_cls_unlabeled: 0.0804, loss_rpn_bbox_unlabeled: 0.0870, loss_cls_unlabeled: 0.1595, acc_unlabeled: 91.9935, loss_bbox_unlabeled: 0.1737, losses_cls_ig_unlabeled: 0.1331, pseudo_num: 1.6313, pseudo_num_ig: 6.0487, pseudo_num_mining: 0.8946, pseudo_num(acc): 0.7836, pseudo_num ig(acc): 0.3920, loss: 0.8699
2021-11-07 04:48:01,715 - mmdet - INFO - Iter [35250/40000]	lr: 2.000e-02, eta: 2:31:27, time: 1.694, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0316, loss_cls: 0.0668, acc: 97.4045, loss_bbox: 0.1395, loss_rpn_cls_unlabeled: 0.0835, loss_rpn_bbox_unlabeled: 0.0956, loss_cls_unlabeled: 0.1670, acc_unlabeled: 91.7218, loss_bbox_unlabeled: 0.1847, losses_cls_ig_unlabeled: 0.1351, pseudo_num: 1.6313, pseudo_num_ig: 6.0490, pseudo_num_mining: 0.8951, pseudo_num(acc): 0.7837, pseudo_num ig(acc): 0.3920, loss: 0.9145
2021-11-07 04:49:26,021 - mmdet - INFO - Iter [35300/40000]	lr: 2.000e-02, eta: 2:29:50, time: 1.687, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0104, loss_rpn_bbox: 0.0320, loss_cls: 0.0684, acc: 97.3397, loss_bbox: 0.1436, loss_rpn_cls_unlabeled: 0.0884, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1613, acc_unlabeled: 91.8584, loss_bbox_unlabeled: 0.1721, losses_cls_ig_unlabeled: 0.1400, pseudo_num: 1.6312, pseudo_num_ig: 6.0493, pseudo_num_mining: 0.8954, pseudo_num(acc): 0.7837, pseudo_num ig(acc): 0.3920, loss: 0.9107
2021-11-07 04:50:51,813 - mmdet - INFO - Iter [35350/40000]	lr: 2.000e-02, eta: 2:28:13, time: 1.712, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0305, loss_cls: 0.0645, acc: 97.4850, loss_bbox: 0.1360, loss_rpn_cls_unlabeled: 0.0811, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1572, acc_unlabeled: 91.9008, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1347, pseudo_num: 1.6311, pseudo_num_ig: 6.0495, pseudo_num_mining: 0.8958, pseudo_num(acc): 0.7838, pseudo_num ig(acc): 0.3920, loss: 0.8763
2021-11-07 04:52:16,416 - mmdet - INFO - Iter [35400/40000]	lr: 2.000e-02, eta: 2:26:36, time: 1.695, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0314, loss_cls: 0.0659, acc: 97.4349, loss_bbox: 0.1388, loss_rpn_cls_unlabeled: 0.0825, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1501, acc_unlabeled: 91.9077, loss_bbox_unlabeled: 0.1682, losses_cls_ig_unlabeled: 0.1327, pseudo_num: 1.6309, pseudo_num_ig: 6.0493, pseudo_num_mining: 0.8962, pseudo_num(acc): 0.7838, pseudo_num ig(acc): 0.3920, loss: 0.8730
2021-11-07 04:53:41,241 - mmdet - INFO - Iter [35450/40000]	lr: 2.000e-02, eta: 2:24:59, time: 1.696, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0305, loss_cls: 0.0666, acc: 97.3903, loss_bbox: 0.1409, loss_rpn_cls_unlabeled: 0.0854, loss_rpn_bbox_unlabeled: 0.0930, loss_cls_unlabeled: 0.1559, acc_unlabeled: 91.9332, loss_bbox_unlabeled: 0.1774, losses_cls_ig_unlabeled: 0.1314, pseudo_num: 1.6308, pseudo_num_ig: 6.0495, pseudo_num_mining: 0.8966, pseudo_num(acc): 0.7839, pseudo_num ig(acc): 0.3920, loss: 0.8910
2021-11-07 04:55:04,385 - mmdet - INFO - pseudo pos: 0.98(68937.0-person) 0.87(1910.0-bicycle) 0.92(10130.0-car) 0.98(2042.0-motorcycle) 0.99(896.0-airplane) 0.99(1414.0-bus) 0.98(1411.0-train) 0.70(2432.0-truck) 0.68(2803.0-boat) 0.87(3694.0-traffic light) 0.99(468.0-fire hydrant) 0.95(536.0-stop sign) 0.78(420.0-parking meter) 0.67(2423.0-bench) 0.93(1957.0-bird) 0.96(1276.0-cat) 0.95(1229.0-dog) 0.97(1692.0-horse) 0.96(1315.0-sheep) 0.87(2659.0-cow) 0.99(1012.0-elephant) 0.99(370.0-bear) 0.99(1845.0-zebra) 0.99(1757.0-giraffe) 0.44(2200.0-backpack) 0.81(2901.0-umbrella) 0.44(3424.0-handbag) 0.87(1546.0-tie) 0.69(1807.0-suitcase) 0.92(672.0-frisbee) 0.61(1698.0-skis) 0.28(1009.0-snowboard) 0.95(1449.0-sports ball) 0.75(2421.0-kite) 0.82(799.0-baseball bat) 0.81(1070.0-baseball glove) 0.97(1319.0-skateboard) 0.87(1465.0-surfboard) 0.95(829.0-tennis racket) 0.82(5679.0-bottle) 0.94(1622.0-wine glass) 0.80(6198.0-cup) 0.48(929.0-fork) 0.33(2317.0-knife) 0.30(1748.0-spoon) 0.71(5293.0-bowl) 0.61(2541.0-banana) 0.35(2348.0-apple) 0.47(2005.0-sandwich) 0.48(1202.0-orange) 0.66(1645.0-broccoli) 0.42(2127.0-carrot) 0.04(6802.0-hot dog) 0.95(1477.0-pizza) 0.73(2053.0-donut) 0.54(1607.0-cake) 0.64(12250.0-chair) 0.79(1420.0-couch) 0.64(2453.0-potted plant) 0.91(1135.0-bed) 0.68(5176.0-dining table) 0.93(982.0-toilet) 0.96(1587.0-tv) 0.97(1144.0-laptop) 0.96(362.0-mouse) 0.62(1178.0-remote) 0.73(711.0-keyboard) 0.68(1949.0-cell phone) 0.96(456.0-microwave) 0.79(1158.0-oven) 0.13(68.0-toaster) 0.76(1573.0-sink) 0.93(710.0-refrigerator) 0.24(6063.0-book) 0.95(1451.0-clock) 0.88(1437.0-vase) 0.55(484.0-scissors) 0.93(697.0-teddy bear) 0.00(0.0-hair drier) 0.23(714.0-toothbrush)
2021-11-07 04:55:04,385 - mmdet - INFO - pseudo ig: 0.56(257027.0-person) 0.30(7596.0-bicycle) 0.46(40904.0-car) 0.50(8043.0-motorcycle) 0.73(3107.0-airplane) 0.61(5332.0-bus) 0.54(4581.0-train) 0.30(9393.0-truck) 0.28(10991.0-boat) 0.30(14636.0-traffic light) 0.57(1824.0-fire hydrant) 0.50(2117.0-stop sign) 0.22(1366.0-parking meter) 0.18(9181.0-bench) 0.33(6967.0-bird) 0.70(4396.0-cat) 0.63(4322.0-dog) 0.53(6466.0-horse) 0.71(5026.0-sheep) 0.34(10811.0-cow) 0.80(4426.0-elephant) 0.61(1336.0-bear) 0.51(7011.0-zebra) 0.65(5721.0-giraffe) 0.18(8642.0-backpack) 0.33(11289.0-umbrella) 0.13(13963.0-handbag) 0.31(6309.0-tie) 0.21(7081.0-suitcase) 0.43(2772.0-frisbee) 0.28(6558.0-skis) 0.19(2290.0-snowboard) 0.34(6302.0-sports ball) 0.33(9484.0-kite) 0.26(3375.0-baseball bat) 0.28(4243.0-baseball glove) 0.45(5027.0-skateboard) 0.37(5637.0-surfboard) 0.70(3333.0-tennis racket) 0.33(24053.0-bottle) 0.38(6735.0-wine glass) 0.28(24691.0-cup) 0.24(3704.0-fork) 0.12(9210.0-knife) 0.10(7441.0-spoon) 0.27(20891.0-bowl) 0.22(10249.0-banana) 0.14(8267.0-apple) 0.24(4717.0-sandwich) 0.29(3381.0-orange) 0.33(6950.0-broccoli) 0.16(8347.0-carrot) 0.17(1326.0-hot dog) 0.47(5602.0-pizza) 0.28(7634.0-donut) 0.23(5980.0-cake) 0.20(47953.0-chair) 0.34(5380.0-couch) 0.28(9691.0-potted plant) 0.44(4131.0-bed) 0.30(15988.0-dining table) 0.59(4189.0-toilet) 0.49(5735.0-tv) 0.55(4258.0-laptop) 0.60(1350.0-mouse) 0.21(5049.0-remote) 0.48(2733.0-keyboard) 0.22(7348.0-cell phone) 0.37(1848.0-microwave) 0.24(4262.0-oven) 0.14(173.0-toaster) 0.37(5752.0-sink) 0.34(2522.0-refrigerator) 0.11(24009.0-book) 0.58(5503.0-clock) 0.35(5621.0-vase) 0.20(1766.0-scissors) 0.64(2766.0-teddy bear) 0.00(0.0-hair drier) 0.06(2481.0-toothbrush)
2021-11-07 04:55:04,386 - mmdet - INFO - pseudo gt: 310007.0 8608.0 51687.0 10834.0 6257.0 7452.0 5470.0 11872.0 12608.0 15153.0 2221.0 2446.0 1492.0 12060.0 12282.0 5666.0 6551.0 8163.0 11274.0 9922.0 6792.0 1582.0 6453.0 6287.0 10745.0 13245.0 15138.0 7669.0 7361.0 3307.0 7877.0 3226.0 7694.0 10478.0 3913.0 4349.0 6717.0 7063.0 5732.0 28845.0 9379.0 25093.0 6535.0 9328.0 7262.0 17061.0 11001.0 7143.0 5040.0 7676.0 8499.0 9652.0 3506.0 7053.0 7912.0 7398.0 45403.0 6840.0 10443.0 5004.0 18875.0 5008.0 7071.0 6042.0 2789.0 6880.0 3384.0 7856.0 1889.0 3863.0 280.0 6692.0 3121.0 29098.0 7530.0 7703.0 1840.0 5735.0 236.0 2368.0
2021-11-07 04:55:04,386 - mmdet - INFO - pseudo mining: 58999.0 222.0 8043.0 840.0 823.0 1193.0 774.0 349.0 603.0 1880.0 682.0 1322.0 23.0 69.0 335.0 1121.0 607.0 1148.0 2414.0 935.0 2151.0 417.0 1852.0 2112.0 113.0 1099.0 94.0 361.0 89.0 721.0 211.0 35.0 1915.0 2333.0 509.0 802.0 709.0 351.0 1728.0 2386.0 397.0 2265.0 22.0 104.0 54.0 2071.0 284.0 308.0 126.0 850.0 928.0 410.0 1.0 755.0 1354.0 187.0 297.0 181.0 813.0 169.0 454.0 1794.0 1724.0 885.0 615.0 139.0 815.0 531.0 266.0 170.0 3.0 1129.0 161.0 349.0 3340.0 219.0 9.0 902.0 0.0 3.0
2021-11-07 04:55:05,952 - mmdet - INFO - Iter [35500/40000]	lr: 2.000e-02, eta: 2:23:22, time: 1.696, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0304, loss_cls: 0.0655, acc: 97.4467, loss_bbox: 0.1389, loss_rpn_cls_unlabeled: 0.0786, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1564, acc_unlabeled: 91.9509, loss_bbox_unlabeled: 0.1751, losses_cls_ig_unlabeled: 0.1334, pseudo_num: 1.6308, pseudo_num_ig: 6.0494, pseudo_num_mining: 0.8970, pseudo_num(acc): 0.7839, pseudo_num ig(acc): 0.3920, loss: 0.8771
2021-11-07 04:56:29,530 - mmdet - INFO - Iter [35550/40000]	lr: 2.000e-02, eta: 2:21:45, time: 1.668, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0309, loss_cls: 0.0678, acc: 97.3517, loss_bbox: 0.1394, loss_rpn_cls_unlabeled: 0.0799, loss_rpn_bbox_unlabeled: 0.0913, loss_cls_unlabeled: 0.1672, acc_unlabeled: 91.7126, loss_bbox_unlabeled: 0.1824, losses_cls_ig_unlabeled: 0.1376, pseudo_num: 1.6307, pseudo_num_ig: 6.0497, pseudo_num_mining: 0.8974, pseudo_num(acc): 0.7840, pseudo_num ig(acc): 0.3920, loss: 0.9067
2021-11-07 04:57:55,444 - mmdet - INFO - Iter [35600/40000]	lr: 2.000e-02, eta: 2:20:08, time: 1.721, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0307, loss_cls: 0.0671, acc: 97.3628, loss_bbox: 0.1393, loss_rpn_cls_unlabeled: 0.0838, loss_rpn_bbox_unlabeled: 0.0934, loss_cls_unlabeled: 0.1499, acc_unlabeled: 92.0419, loss_bbox_unlabeled: 0.1731, losses_cls_ig_unlabeled: 0.1298, pseudo_num: 1.6307, pseudo_num_ig: 6.0498, pseudo_num_mining: 0.8978, pseudo_num(acc): 0.7840, pseudo_num ig(acc): 0.3921, loss: 0.8768
2021-11-07 04:59:21,939 - mmdet - INFO - Iter [35650/40000]	lr: 2.000e-02, eta: 2:18:31, time: 1.727, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0314, loss_cls: 0.0675, acc: 97.3717, loss_bbox: 0.1400, loss_rpn_cls_unlabeled: 0.0815, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1548, acc_unlabeled: 91.9338, loss_bbox_unlabeled: 0.1749, losses_cls_ig_unlabeled: 0.1337, pseudo_num: 1.6306, pseudo_num_ig: 6.0501, pseudo_num_mining: 0.8982, pseudo_num(acc): 0.7840, pseudo_num ig(acc): 0.3920, loss: 0.8862
2021-11-07 05:00:48,031 - mmdet - INFO - Iter [35700/40000]	lr: 2.000e-02, eta: 2:16:54, time: 1.725, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0322, loss_cls: 0.0671, acc: 97.3929, loss_bbox: 0.1415, loss_rpn_cls_unlabeled: 0.0855, loss_rpn_bbox_unlabeled: 0.0972, loss_cls_unlabeled: 0.1548, acc_unlabeled: 92.0583, loss_bbox_unlabeled: 0.1769, losses_cls_ig_unlabeled: 0.1341, pseudo_num: 1.6305, pseudo_num_ig: 6.0504, pseudo_num_mining: 0.8987, pseudo_num(acc): 0.7841, pseudo_num ig(acc): 0.3921, loss: 0.8993
2021-11-07 05:02:11,372 - mmdet - INFO - Iter [35750/40000]	lr: 2.000e-02, eta: 2:15:17, time: 1.667, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0098, loss_rpn_bbox: 0.0311, loss_cls: 0.0680, acc: 97.3530, loss_bbox: 0.1388, loss_rpn_cls_unlabeled: 0.0771, loss_rpn_bbox_unlabeled: 0.0937, loss_cls_unlabeled: 0.1615, acc_unlabeled: 92.0059, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1314, pseudo_num: 1.6305, pseudo_num_ig: 6.0505, pseudo_num_mining: 0.8991, pseudo_num(acc): 0.7841, pseudo_num ig(acc): 0.3921, loss: 0.8885
2021-11-07 05:03:38,350 - mmdet - INFO - Iter [35800/40000]	lr: 2.000e-02, eta: 2:13:41, time: 1.739, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0291, loss_cls: 0.0631, acc: 97.5498, loss_bbox: 0.1334, loss_rpn_cls_unlabeled: 0.0770, loss_rpn_bbox_unlabeled: 0.0925, loss_cls_unlabeled: 0.1599, acc_unlabeled: 92.0582, loss_bbox_unlabeled: 0.1777, losses_cls_ig_unlabeled: 0.1310, pseudo_num: 1.6305, pseudo_num_ig: 6.0506, pseudo_num_mining: 0.8994, pseudo_num(acc): 0.7841, pseudo_num ig(acc): 0.3921, loss: 0.8729
2021-11-07 05:05:03,410 - mmdet - INFO - Iter [35850/40000]	lr: 2.000e-02, eta: 2:12:04, time: 1.697, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0315, loss_cls: 0.0651, acc: 97.4275, loss_bbox: 0.1389, loss_rpn_cls_unlabeled: 0.0826, loss_rpn_bbox_unlabeled: 0.0929, loss_cls_unlabeled: 0.1544, acc_unlabeled: 91.8323, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1305, pseudo_num: 1.6305, pseudo_num_ig: 6.0507, pseudo_num_mining: 0.8998, pseudo_num(acc): 0.7842, pseudo_num ig(acc): 0.3921, loss: 0.8756
2021-11-07 05:06:28,318 - mmdet - INFO - Iter [35900/40000]	lr: 2.000e-02, eta: 2:10:28, time: 1.699, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0316, loss_cls: 0.0671, acc: 97.3868, loss_bbox: 0.1409, loss_rpn_cls_unlabeled: 0.0799, loss_rpn_bbox_unlabeled: 0.0915, loss_cls_unlabeled: 0.1564, acc_unlabeled: 92.0684, loss_bbox_unlabeled: 0.1785, losses_cls_ig_unlabeled: 0.1277, pseudo_num: 1.6304, pseudo_num_ig: 6.0508, pseudo_num_mining: 0.9002, pseudo_num(acc): 0.7842, pseudo_num ig(acc): 0.3921, loss: 0.8829
2021-11-07 05:07:54,367 - mmdet - INFO - Iter [35950/40000]	lr: 2.000e-02, eta: 2:08:51, time: 1.723, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0102, loss_rpn_bbox: 0.0324, loss_cls: 0.0666, acc: 97.4130, loss_bbox: 0.1415, loss_rpn_cls_unlabeled: 0.0816, loss_rpn_bbox_unlabeled: 0.0945, loss_cls_unlabeled: 0.1591, acc_unlabeled: 91.7340, loss_bbox_unlabeled: 0.1777, losses_cls_ig_unlabeled: 0.1394, pseudo_num: 1.6305, pseudo_num_ig: 6.0505, pseudo_num_mining: 0.9004, pseudo_num(acc): 0.7843, pseudo_num ig(acc): 0.3921, loss: 0.9031
2021-11-07 05:09:16,962 - mmdet - INFO - pseudo pos: 0.98(69866.0-person) 0.87(1937.0-bicycle) 0.92(10258.0-car) 0.98(2072.0-motorcycle) 0.99(899.0-airplane) 0.99(1427.0-bus) 0.98(1427.0-train) 0.70(2451.0-truck) 0.68(2863.0-boat) 0.87(3733.0-traffic light) 0.99(473.0-fire hydrant) 0.95(541.0-stop sign) 0.78(430.0-parking meter) 0.67(2455.0-bench) 0.93(1992.0-bird) 0.97(1293.0-cat) 0.95(1249.0-dog) 0.97(1715.0-horse) 0.96(1333.0-sheep) 0.87(2691.0-cow) 0.99(1047.0-elephant) 0.99(371.0-bear) 0.99(1891.0-zebra) 0.99(1780.0-giraffe) 0.44(2230.0-backpack) 0.81(2924.0-umbrella) 0.44(3466.0-handbag) 0.87(1571.0-tie) 0.69(1822.0-suitcase) 0.92(683.0-frisbee) 0.61(1713.0-skis) 0.29(1021.0-snowboard) 0.95(1483.0-sports ball) 0.75(2449.0-kite) 0.82(817.0-baseball bat) 0.81(1086.0-baseball glove) 0.97(1338.0-skateboard) 0.87(1487.0-surfboard) 0.95(838.0-tennis racket) 0.82(5765.0-bottle) 0.94(1644.0-wine glass) 0.80(6289.0-cup) 0.48(943.0-fork) 0.33(2348.0-knife) 0.30(1770.0-spoon) 0.71(5368.0-bowl) 0.62(2577.0-banana) 0.35(2361.0-apple) 0.47(2023.0-sandwich) 0.49(1232.0-orange) 0.66(1678.0-broccoli) 0.42(2170.0-carrot) 0.04(6802.0-hot dog) 0.95(1508.0-pizza) 0.73(2090.0-donut) 0.55(1623.0-cake) 0.64(12450.0-chair) 0.79(1441.0-couch) 0.64(2482.0-potted plant) 0.92(1162.0-bed) 0.68(5250.0-dining table) 0.93(989.0-toilet) 0.96(1602.0-tv) 0.97(1161.0-laptop) 0.96(366.0-mouse) 0.63(1222.0-remote) 0.73(717.0-keyboard) 0.68(1973.0-cell phone) 0.96(474.0-microwave) 0.79(1176.0-oven) 0.13(68.0-toaster) 0.76(1586.0-sink) 0.93(723.0-refrigerator) 0.24(6169.0-book) 0.95(1472.0-clock) 0.88(1462.0-vase) 0.55(485.0-scissors) 0.93(704.0-teddy bear) 0.00(0.0-hair drier) 0.23(729.0-toothbrush)
2021-11-07 05:09:16,963 - mmdet - INFO - pseudo ig: 0.56(260762.0-person) 0.30(7738.0-bicycle) 0.46(41459.0-car) 0.50(8158.0-motorcycle) 0.73(3140.0-airplane) 0.61(5413.0-bus) 0.54(4620.0-train) 0.30(9503.0-truck) 0.28(11171.0-boat) 0.30(14801.0-traffic light) 0.57(1859.0-fire hydrant) 0.51(2154.0-stop sign) 0.22(1400.0-parking meter) 0.18(9301.0-bench) 0.33(7093.0-bird) 0.70(4464.0-cat) 0.63(4384.0-dog) 0.53(6541.0-horse) 0.71(5085.0-sheep) 0.34(10998.0-cow) 0.80(4490.0-elephant) 0.61(1347.0-bear) 0.51(7139.0-zebra) 0.65(5822.0-giraffe) 0.18(8768.0-backpack) 0.33(11407.0-umbrella) 0.13(14113.0-handbag) 0.31(6412.0-tie) 0.21(7172.0-suitcase) 0.43(2818.0-frisbee) 0.28(6672.0-skis) 0.19(2313.0-snowboard) 0.34(6391.0-sports ball) 0.33(9596.0-kite) 0.26(3424.0-baseball bat) 0.27(4291.0-baseball glove) 0.45(5110.0-skateboard) 0.37(5741.0-surfboard) 0.69(3401.0-tennis racket) 0.33(24482.0-bottle) 0.38(6809.0-wine glass) 0.28(25060.0-cup) 0.24(3744.0-fork) 0.12(9341.0-knife) 0.10(7569.0-spoon) 0.27(21183.0-bowl) 0.21(10453.0-banana) 0.14(8356.0-apple) 0.24(4768.0-sandwich) 0.29(3430.0-orange) 0.33(7034.0-broccoli) 0.16(8483.0-carrot) 0.17(1346.0-hot dog) 0.47(5685.0-pizza) 0.28(7801.0-donut) 0.23(6086.0-cake) 0.20(48690.0-chair) 0.34(5468.0-couch) 0.28(9814.0-potted plant) 0.44(4188.0-bed) 0.30(16227.0-dining table) 0.59(4239.0-toilet) 0.49(5819.0-tv) 0.55(4318.0-laptop) 0.60(1371.0-mouse) 0.21(5164.0-remote) 0.48(2772.0-keyboard) 0.22(7470.0-cell phone) 0.37(1869.0-microwave) 0.24(4338.0-oven) 0.14(174.0-toaster) 0.37(5828.0-sink) 0.34(2563.0-refrigerator) 0.11(24405.0-book) 0.58(5561.0-clock) 0.35(5711.0-vase) 0.20(1775.0-scissors) 0.64(2798.0-teddy bear) 0.00(0.0-hair drier) 0.06(2521.0-toothbrush)
2021-11-07 05:09:16,964 - mmdet - INFO - pseudo gt: 314396.0 8740.0 52459.0 10973.0 6314.0 7548.0 5531.0 12026.0 12828.0 15340.0 2261.0 2481.0 1517.0 12202.0 12493.0 5736.0 6636.0 8276.0 11399.0 10063.0 6919.0 1590.0 6591.0 6407.0 10888.0 13410.0 15353.0 7785.0 7441.0 3348.0 7988.0 3272.0 7790.0 10612.0 3962.0 4410.0 6818.0 7172.0 5821.0 29304.0 9533.0 25453.0 6647.0 9448.0 7359.0 17302.0 11110.0 7180.0 5129.0 7746.0 8612.0 9797.0 3574.0 7161.0 8023.0 7527.0 46053.0 6936.0 10581.0 5091.0 19157.0 5079.0 7175.0 6147.0 2832.0 7010.0 3427.0 7981.0 1925.0 3918.0 281.0 6785.0 3166.0 29567.0 7602.0 7835.0 1852.0 5837.0 239.0 2405.0
2021-11-07 05:09:16,964 - mmdet - INFO - pseudo mining: 60038.0 227.0 8183.0 853.0 830.0 1222.0 781.0 354.0 610.0 1905.0 703.0 1348.0 23.0 71.0 345.0 1141.0 616.0 1167.0 2444.0 959.0 2173.0 419.0 1893.0 2165.0 115.0 1128.0 97.0 370.0 91.0 735.0 220.0 35.0 1934.0 2369.0 516.0 812.0 723.0 359.0 1767.0 2448.0 415.0 2304.0 24.0 107.0 56.0 2110.0 284.0 310.0 129.0 855.0 938.0 429.0 3.0 771.0 1398.0 189.0 300.0 185.0 831.0 172.0 464.0 1827.0 1755.0 907.0 622.0 141.0 837.0 558.0 269.0 171.0 3.0 1156.0 163.0 357.0 3371.0 222.0 10.0 919.0 0.0 3.0
2021-11-07 05:10:09,217 - mmdet - INFO - Evaluating bbox...
2021-11-07 05:11:11,529 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.388 | bicycle      | 0.179 | car            | 0.298 |
| motorcycle    | 0.260 | airplane     | 0.376 | bus            | 0.484 |
| train         | 0.396 | truck        | 0.154 | boat           | 0.127 |
| traffic light | 0.196 | fire hydrant | 0.462 | stop sign      | 0.476 |
| parking meter | 0.337 | bench        | 0.135 | bird           | 0.162 |
| cat           | 0.412 | dog          | 0.347 | horse          | 0.386 |
| sheep         | 0.316 | cow          | 0.362 | elephant       | 0.419 |
| bear          | 0.477 | zebra        | 0.475 | giraffe        | 0.520 |
| backpack      | 0.054 | umbrella     | 0.206 | handbag        | 0.045 |
| tie           | 0.176 | suitcase     | 0.108 | frisbee        | 0.430 |
| skis          | 0.080 | snowboard    | 0.059 | sports ball    | 0.304 |
| kite          | 0.227 | baseball bat | 0.129 | baseball glove | 0.179 |
| skateboard    | 0.282 | surfboard    | 0.183 | tennis racket  | 0.255 |
| bottle        | 0.241 | wine glass   | 0.204 | cup            | 0.257 |
| fork          | 0.052 | knife        | 0.034 | spoon          | 0.031 |
| bowl          | 0.276 | banana       | 0.085 | apple          | 0.066 |
| sandwich      | 0.179 | orange       | 0.150 | broccoli       | 0.130 |
| carrot        | 0.048 | hot dog      | 0.074 | pizza          | 0.350 |
| donut         | 0.228 | cake         | 0.104 | chair          | 0.112 |
| couch         | 0.238 | potted plant | 0.107 | bed            | 0.308 |
| dining table  | 0.150 | toilet       | 0.396 | tv             | 0.412 |
| laptop        | 0.405 | mouse        | 0.435 | remote         | 0.060 |
| keyboard      | 0.243 | cell phone   | 0.182 | microwave      | 0.354 |
| oven          | 0.167 | toaster      | 0.052 | sink           | 0.169 |
| refrigerator  | 0.322 | book         | 0.021 | clock          | 0.363 |
| vase          | 0.220 | scissors     | 0.151 | teddy bear     | 0.267 |
| hair drier    | 0.000 | toothbrush   | 0.051 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 05:12:03,851 - mmdet - INFO - Evaluating bbox...
2021-11-07 05:13:02,781 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.395 | bicycle      | 0.186 | car            | 0.319 |
| motorcycle    | 0.266 | airplane     | 0.377 | bus            | 0.487 |
| train         | 0.439 | truck        | 0.149 | boat           | 0.133 |
| traffic light | 0.208 | fire hydrant | 0.479 | stop sign      | 0.451 |
| parking meter | 0.354 | bench        | 0.141 | bird           | 0.182 |
| cat           | 0.437 | dog          | 0.415 | horse          | 0.414 |
| sheep         | 0.316 | cow          | 0.377 | elephant       | 0.459 |
| bear          | 0.506 | zebra        | 0.477 | giraffe        | 0.524 |
| backpack      | 0.059 | umbrella     | 0.212 | handbag        | 0.054 |
| tie           | 0.187 | suitcase     | 0.117 | frisbee        | 0.448 |
| skis          | 0.083 | snowboard    | 0.065 | sports ball    | 0.312 |
| kite          | 0.242 | baseball bat | 0.131 | baseball glove | 0.205 |
| skateboard    | 0.307 | surfboard    | 0.219 | tennis racket  | 0.264 |
| bottle        | 0.254 | wine glass   | 0.210 | cup            | 0.264 |
| fork          | 0.062 | knife        | 0.045 | spoon          | 0.031 |
| bowl          | 0.288 | banana       | 0.090 | apple          | 0.075 |
| sandwich      | 0.204 | orange       | 0.164 | broccoli       | 0.141 |
| carrot        | 0.052 | hot dog      | 0.079 | pizza          | 0.354 |
| donut         | 0.245 | cake         | 0.121 | chair          | 0.121 |
| couch         | 0.254 | potted plant | 0.115 | bed            | 0.310 |
| dining table  | 0.154 | toilet       | 0.434 | tv             | 0.425 |
| laptop        | 0.410 | mouse        | 0.457 | remote         | 0.074 |
| keyboard      | 0.259 | cell phone   | 0.199 | microwave      | 0.360 |
| oven          | 0.189 | toaster      | 0.056 | sink           | 0.177 |
| refrigerator  | 0.355 | book         | 0.026 | clock          | 0.394 |
| vase          | 0.229 | scissors     | 0.139 | teddy bear     | 0.280 |
| hair drier    | 0.000 | toothbrush   | 0.056 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 05:14:27,092 - mmdet - INFO - current percent: 0.2
2021-11-07 05:14:27,093 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.97-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.98-parking meter) (0.97-bench) (0.93-bird) (1.00-cat) (0.99-dog) (1.00-horse) (0.99-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.95-backpack) (1.00-umbrella) (0.90-handbag) (0.99-tie) (0.96-suitcase) (1.00-frisbee) (0.98-skis) (0.94-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.94-fork) (0.95-knife) (0.94-spoon) (0.99-bowl) (0.98-banana) (0.94-apple) (0.98-sandwich) (0.99-orange) (0.99-broccoli) (0.97-carrot) (0.94-hot dog) (1.00-pizza) (0.99-donut) (0.98-cake) (0.96-chair) (0.99-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.97-remote) (1.00-keyboard) (0.99-cell phone) (1.00-microwave) (0.99-oven) (0.63-toaster) (1.00-sink) (1.00-refrigerator) (0.96-book) (1.00-clock) (0.99-vase) (0.96-scissors) (1.00-teddy bear) (0.05-hair drier) (0.85-toothbrush)
2021-11-07 05:14:27,093 - mmdet - INFO - update score thr (ignore): (0.15-person) (0.09-bicycle) (0.31-car) (0.15-motorcycle) (0.73-airplane) (0.41-bus) (0.26-train) (0.25-truck) (0.20-boat) (0.27-traffic light) (0.52-fire hydrant) (0.89-stop sign) (0.11-parking meter) (0.21-bench) (0.05-bird) (0.46-cat) (0.51-dog) (0.17-horse) (0.83-sheep) (0.45-cow) (0.57-elephant) (0.40-bear) (0.07-zebra) (0.08-giraffe) (0.41-backpack) (0.19-umbrella) (0.14-handbag) (0.16-tie) (0.26-suitcase) (0.63-frisbee) (0.24-skis) (0.32-snowboard) (0.42-sports ball) (0.51-kite) (0.35-baseball bat) (0.56-baseball glove) (0.26-skateboard) (0.28-surfboard) (0.73-tennis racket) (0.31-bottle) (0.07-wine glass) (0.27-cup) (0.07-fork) (0.32-knife) (0.20-spoon) (0.43-bowl) (0.23-banana) (0.23-apple) (0.20-sandwich) (0.55-orange) (0.41-broccoli) (0.58-carrot) (0.36-hot dog) (0.43-pizza) (0.73-donut) (0.28-cake) (0.15-chair) (0.31-couch) (0.35-potted plant) (0.40-bed) (0.27-dining table) (0.50-toilet) (0.62-tv) (0.37-laptop) (0.82-mouse) (0.27-remote) (0.73-keyboard) (0.41-cell phone) (0.47-microwave) (0.27-oven) (0.16-toaster) (0.35-sink) (0.36-refrigerator) (0.29-book) (0.70-clock) (0.21-vase) (0.12-scissors) (0.70-teddy bear) (0.05-hair drier) (0.12-toothbrush)
2021-11-07 05:14:27,329 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 05:14:27,330 - mmdet - INFO - Iter [36000/40000]	lr: 2.000e-02, eta: 2:07:14, time: 1.684, data_time: 0.026, memory: 26488, bbox_mAP: 0.2440, bbox_mAP_50: 0.4180, bbox_mAP_75: 0.2540, bbox_mAP_s: 0.1250, bbox_mAP_m: 0.2690, bbox_mAP_l: 0.3310, bbox_mAP_copypaste: 0.244 0.418 0.254 0.125 0.269 0.331, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0301, loss_cls: 0.0641, acc: 97.5166, loss_bbox: 0.1351, loss_rpn_cls_unlabeled: 0.0833, loss_rpn_bbox_unlabeled: 0.0952, loss_cls_unlabeled: 0.1518, acc_unlabeled: 91.8472, loss_bbox_unlabeled: 0.1697, losses_cls_ig_unlabeled: 0.1348, pseudo_num: 1.6305, pseudo_num_ig: 6.0508, pseudo_num_mining: 0.9008, pseudo_num(acc): 0.7843, pseudo_num ig(acc): 0.3921, loss: 0.8742
2021-11-07 05:15:52,358 - mmdet - INFO - Iter [36050/40000]	lr: 2.000e-02, eta: 2:06:12, time: 7.877, data_time: 6.207, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0310, loss_cls: 0.0652, acc: 97.4624, loss_bbox: 0.1373, loss_rpn_cls_unlabeled: 0.0772, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1541, acc_unlabeled: 92.0631, loss_bbox_unlabeled: 0.1736, losses_cls_ig_unlabeled: 0.1324, pseudo_num: 1.6304, pseudo_num_ig: 6.0508, pseudo_num_mining: 0.9012, pseudo_num(acc): 0.7844, pseudo_num ig(acc): 0.3921, loss: 0.8706
2021-11-07 05:17:17,018 - mmdet - INFO - Iter [36100/40000]	lr: 2.000e-02, eta: 2:04:35, time: 1.692, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0312, loss_cls: 0.0660, acc: 97.4154, loss_bbox: 0.1397, loss_rpn_cls_unlabeled: 0.0744, loss_rpn_bbox_unlabeled: 0.0876, loss_cls_unlabeled: 0.1490, acc_unlabeled: 92.0576, loss_bbox_unlabeled: 0.1665, losses_cls_ig_unlabeled: 0.1366, pseudo_num: 1.6302, pseudo_num_ig: 6.0506, pseudo_num_mining: 0.9016, pseudo_num(acc): 0.7844, pseudo_num ig(acc): 0.3921, loss: 0.8600
2021-11-07 05:18:42,259 - mmdet - INFO - Iter [36150/40000]	lr: 2.000e-02, eta: 2:02:58, time: 1.698, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0090, loss_rpn_bbox: 0.0307, loss_cls: 0.0651, acc: 97.4656, loss_bbox: 0.1390, loss_rpn_cls_unlabeled: 0.0810, loss_rpn_bbox_unlabeled: 0.0886, loss_cls_unlabeled: 0.1514, acc_unlabeled: 92.0360, loss_bbox_unlabeled: 0.1721, losses_cls_ig_unlabeled: 0.1386, pseudo_num: 1.6300, pseudo_num_ig: 6.0505, pseudo_num_mining: 0.9021, pseudo_num(acc): 0.7845, pseudo_num ig(acc): 0.3921, loss: 0.8754
2021-11-07 05:20:06,872 - mmdet - INFO - Iter [36200/40000]	lr: 2.000e-02, eta: 2:01:21, time: 1.700, data_time: 0.037, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0302, loss_cls: 0.0667, acc: 97.3927, loss_bbox: 0.1376, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1473, acc_unlabeled: 92.2111, loss_bbox_unlabeled: 0.1645, losses_cls_ig_unlabeled: 0.1328, pseudo_num: 1.6298, pseudo_num_ig: 6.0503, pseudo_num_mining: 0.9025, pseudo_num(acc): 0.7846, pseudo_num ig(acc): 0.3922, loss: 0.8601
2021-11-07 05:21:31,470 - mmdet - INFO - Iter [36250/40000]	lr: 2.000e-02, eta: 1:59:44, time: 1.690, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0315, loss_cls: 0.0661, acc: 97.3920, loss_bbox: 0.1387, loss_rpn_cls_unlabeled: 0.0749, loss_rpn_bbox_unlabeled: 0.0856, loss_cls_unlabeled: 0.1511, acc_unlabeled: 92.1266, loss_bbox_unlabeled: 0.1770, losses_cls_ig_unlabeled: 0.1311, pseudo_num: 1.6296, pseudo_num_ig: 6.0500, pseudo_num_mining: 0.9029, pseudo_num(acc): 0.7846, pseudo_num ig(acc): 0.3922, loss: 0.8653
2021-11-07 05:22:56,541 - mmdet - INFO - Iter [36300/40000]	lr: 2.000e-02, eta: 1:58:07, time: 1.703, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0314, loss_cls: 0.0669, acc: 97.3746, loss_bbox: 0.1413, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0893, loss_cls_unlabeled: 0.1623, acc_unlabeled: 91.9915, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1362, pseudo_num: 1.6295, pseudo_num_ig: 6.0499, pseudo_num_mining: 0.9034, pseudo_num(acc): 0.7847, pseudo_num ig(acc): 0.3922, loss: 0.8940
2021-11-07 05:24:22,508 - mmdet - INFO - Iter [36350/40000]	lr: 2.000e-02, eta: 1:56:30, time: 1.716, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0084, loss_rpn_bbox: 0.0304, loss_cls: 0.0619, acc: 97.5629, loss_bbox: 0.1351, loss_rpn_cls_unlabeled: 0.0755, loss_rpn_bbox_unlabeled: 0.0883, loss_cls_unlabeled: 0.1492, acc_unlabeled: 92.2637, loss_bbox_unlabeled: 0.1683, losses_cls_ig_unlabeled: 0.1293, pseudo_num: 1.6294, pseudo_num_ig: 6.0500, pseudo_num_mining: 0.9038, pseudo_num(acc): 0.7848, pseudo_num ig(acc): 0.3922, loss: 0.8464
2021-11-07 05:25:50,473 - mmdet - INFO - Iter [36400/40000]	lr: 2.000e-02, eta: 1:54:53, time: 1.761, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0294, loss_cls: 0.0631, acc: 97.5344, loss_bbox: 0.1333, loss_rpn_cls_unlabeled: 0.0846, loss_rpn_bbox_unlabeled: 0.0941, loss_cls_unlabeled: 0.1475, acc_unlabeled: 92.2189, loss_bbox_unlabeled: 0.1677, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6292, pseudo_num_ig: 6.0498, pseudo_num_mining: 0.9042, pseudo_num(acc): 0.7848, pseudo_num ig(acc): 0.3923, loss: 0.8625
2021-11-07 05:27:15,149 - mmdet - INFO - Iter [36450/40000]	lr: 2.000e-02, eta: 1:53:17, time: 1.696, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0309, loss_cls: 0.0666, acc: 97.4071, loss_bbox: 0.1403, loss_rpn_cls_unlabeled: 0.0751, loss_rpn_bbox_unlabeled: 0.0891, loss_cls_unlabeled: 0.1524, acc_unlabeled: 92.3522, loss_bbox_unlabeled: 0.1669, losses_cls_ig_unlabeled: 0.1294, pseudo_num: 1.6291, pseudo_num_ig: 6.0494, pseudo_num_mining: 0.9046, pseudo_num(acc): 0.7849, pseudo_num ig(acc): 0.3923, loss: 0.8602
2021-11-07 05:28:38,039 - mmdet - INFO - pseudo pos: 0.98(70844.0-person) 0.87(1971.0-bicycle) 0.92(10416.0-car) 0.98(2104.0-motorcycle) 0.99(911.0-airplane) 0.99(1449.0-bus) 0.98(1448.0-train) 0.70(2485.0-truck) 0.68(2920.0-boat) 0.87(3770.0-traffic light) 0.99(477.0-fire hydrant) 0.95(548.0-stop sign) 0.78(432.0-parking meter) 0.67(2482.0-bench) 0.93(2021.0-bird) 0.97(1311.0-cat) 0.95(1266.0-dog) 0.97(1727.0-horse) 0.96(1388.0-sheep) 0.87(2731.0-cow) 0.99(1059.0-elephant) 0.99(378.0-bear) 0.99(1904.0-zebra) 0.99(1800.0-giraffe) 0.44(2262.0-backpack) 0.81(2951.0-umbrella) 0.44(3519.0-handbag) 0.87(1593.0-tie) 0.69(1855.0-suitcase) 0.92(685.0-frisbee) 0.62(1741.0-skis) 0.29(1027.0-snowboard) 0.95(1501.0-sports ball) 0.75(2478.0-kite) 0.82(825.0-baseball bat) 0.81(1095.0-baseball glove) 0.97(1360.0-skateboard) 0.87(1505.0-surfboard) 0.95(851.0-tennis racket) 0.82(5881.0-bottle) 0.94(1676.0-wine glass) 0.80(6369.0-cup) 0.48(951.0-fork) 0.33(2372.0-knife) 0.30(1796.0-spoon) 0.71(5445.0-bowl) 0.62(2614.0-banana) 0.35(2389.0-apple) 0.48(2039.0-sandwich) 0.49(1235.0-orange) 0.66(1697.0-broccoli) 0.41(2194.0-carrot) 0.04(6803.0-hot dog) 0.95(1529.0-pizza) 0.73(2143.0-donut) 0.55(1642.0-cake) 0.64(12603.0-chair) 0.79(1458.0-couch) 0.64(2512.0-potted plant) 0.92(1178.0-bed) 0.68(5320.0-dining table) 0.93(1001.0-toilet) 0.96(1623.0-tv) 0.97(1169.0-laptop) 0.96(371.0-mouse) 0.63(1234.0-remote) 0.73(724.0-keyboard) 0.68(1995.0-cell phone) 0.96(475.0-microwave) 0.79(1190.0-oven) 0.13(69.0-toaster) 0.76(1602.0-sink) 0.93(732.0-refrigerator) 0.24(6236.0-book) 0.95(1500.0-clock) 0.89(1487.0-vase) 0.55(491.0-scissors) 0.94(711.0-teddy bear) 0.00(0.0-hair drier) 0.23(735.0-toothbrush)
2021-11-07 05:28:38,040 - mmdet - INFO - pseudo ig: 0.56(264309.0-person) 0.30(7862.0-bicycle) 0.46(42084.0-car) 0.50(8309.0-motorcycle) 0.73(3178.0-airplane) 0.61(5486.0-bus) 0.54(4672.0-train) 0.30(9642.0-truck) 0.28(11315.0-boat) 0.30(15009.0-traffic light) 0.57(1882.0-fire hydrant) 0.51(2182.0-stop sign) 0.22(1427.0-parking meter) 0.18(9414.0-bench) 0.32(7243.0-bird) 0.70(4534.0-cat) 0.63(4436.0-dog) 0.53(6652.0-horse) 0.71(5169.0-sheep) 0.34(11106.0-cow) 0.80(4550.0-elephant) 0.61(1369.0-bear) 0.51(7242.0-zebra) 0.65(5895.0-giraffe) 0.18(8873.0-backpack) 0.33(11591.0-umbrella) 0.13(14299.0-handbag) 0.30(6510.0-tie) 0.21(7272.0-suitcase) 0.43(2848.0-frisbee) 0.28(6770.0-skis) 0.19(2339.0-snowboard) 0.34(6484.0-sports ball) 0.33(9749.0-kite) 0.26(3466.0-baseball bat) 0.28(4347.0-baseball glove) 0.45(5189.0-skateboard) 0.37(5817.0-surfboard) 0.69(3443.0-tennis racket) 0.33(24856.0-bottle) 0.38(6933.0-wine glass) 0.28(25381.0-cup) 0.24(3780.0-fork) 0.12(9457.0-knife) 0.10(7668.0-spoon) 0.27(21463.0-bowl) 0.21(10562.0-banana) 0.14(8459.0-apple) 0.24(4817.0-sandwich) 0.29(3451.0-orange) 0.33(7115.0-broccoli) 0.15(8573.0-carrot) 0.17(1354.0-hot dog) 0.47(5738.0-pizza) 0.27(7926.0-donut) 0.23(6175.0-cake) 0.20(49279.0-chair) 0.34(5536.0-couch) 0.28(9953.0-potted plant) 0.44(4237.0-bed) 0.30(16403.0-dining table) 0.59(4300.0-toilet) 0.50(5889.0-tv) 0.55(4374.0-laptop) 0.60(1383.0-mouse) 0.21(5220.0-remote) 0.48(2803.0-keyboard) 0.22(7577.0-cell phone) 0.37(1891.0-microwave) 0.24(4404.0-oven) 0.14(177.0-toaster) 0.37(5915.0-sink) 0.34(2607.0-refrigerator) 0.11(24716.0-book) 0.58(5626.0-clock) 0.35(5792.0-vase) 0.20(1811.0-scissors) 0.64(2853.0-teddy bear) 0.00(0.0-hair drier) 0.06(2560.0-toothbrush)
2021-11-07 05:28:38,040 - mmdet - INFO - pseudo gt: 318725.0 8834.0 53267.0 11166.0 6398.0 7657.0 5608.0 12190.0 12968.0 15565.0 2278.0 2533.0 1532.0 12354.0 12662.0 5806.0 6727.0 8381.0 11625.0 10226.0 7003.0 1617.0 6681.0 6481.0 11055.0 13642.0 15562.0 7882.0 7577.0 3377.0 8143.0 3321.0 7888.0 10807.0 3999.0 4469.0 6914.0 7291.0 5902.0 29817.0 9681.0 25811.0 6741.0 9589.0 7518.0 17566.0 11268.0 7270.0 5196.0 7835.0 8726.0 9909.0 3633.0 7230.0 8137.0 7668.0 46587.0 7030.0 10682.0 5169.0 19383.0 5146.0 7268.0 6222.0 2862.0 7087.0 3464.0 8110.0 1946.0 3975.0 285.0 6889.0 3216.0 29931.0 7708.0 7960.0 1880.0 5910.0 242.0 2441.0
2021-11-07 05:28:38,040 - mmdet - INFO - pseudo mining: 61058.0 234.0 8348.0 871.0 854.0 1242.0 794.0 357.0 621.0 1943.0 714.0 1373.0 25.0 74.0 346.0 1160.0 626.0 1186.0 2489.0 989.0 2209.0 425.0 1940.0 2200.0 119.0 1160.0 100.0 382.0 94.0 750.0 224.0 35.0 1969.0 2421.0 524.0 838.0 741.0 362.0 1791.0 2492.0 423.0 2353.0 25.0 111.0 60.0 2147.0 288.0 311.0 129.0 862.0 957.0 433.0 3.0 782.0 1439.0 191.0 311.0 191.0 845.0 178.0 476.0 1851.0 1784.0 927.0 632.0 146.0 858.0 576.0 276.0 178.0 3.0 1187.0 168.0 369.0 3414.0 232.0 11.0 942.0 0.0 3.0
2021-11-07 05:28:39,799 - mmdet - INFO - Iter [36500/40000]	lr: 2.000e-02, eta: 1:51:40, time: 1.691, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0316, loss_cls: 0.0686, acc: 97.3278, loss_bbox: 0.1422, loss_rpn_cls_unlabeled: 0.0791, loss_rpn_bbox_unlabeled: 0.0909, loss_cls_unlabeled: 0.1560, acc_unlabeled: 92.1121, loss_bbox_unlabeled: 0.1688, losses_cls_ig_unlabeled: 0.1357, pseudo_num: 1.6289, pseudo_num_ig: 6.0492, pseudo_num_mining: 0.9050, pseudo_num(acc): 0.7849, pseudo_num ig(acc): 0.3923, loss: 0.8824
2021-11-07 05:30:06,165 - mmdet - INFO - Iter [36550/40000]	lr: 2.000e-02, eta: 1:50:03, time: 1.729, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0313, loss_cls: 0.0662, acc: 97.4033, loss_bbox: 0.1400, loss_rpn_cls_unlabeled: 0.0777, loss_rpn_bbox_unlabeled: 0.0887, loss_cls_unlabeled: 0.1586, acc_unlabeled: 92.0701, loss_bbox_unlabeled: 0.1714, losses_cls_ig_unlabeled: 0.1351, pseudo_num: 1.6287, pseudo_num_ig: 6.0489, pseudo_num_mining: 0.9054, pseudo_num(acc): 0.7850, pseudo_num ig(acc): 0.3923, loss: 0.8781
2021-11-07 05:31:30,377 - mmdet - INFO - Iter [36600/40000]	lr: 2.000e-02, eta: 1:48:26, time: 1.683, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0088, loss_rpn_bbox: 0.0300, loss_cls: 0.0641, acc: 97.5039, loss_bbox: 0.1363, loss_rpn_cls_unlabeled: 0.0734, loss_rpn_bbox_unlabeled: 0.0896, loss_cls_unlabeled: 0.1577, acc_unlabeled: 92.0536, loss_bbox_unlabeled: 0.1720, losses_cls_ig_unlabeled: 0.1355, pseudo_num: 1.6285, pseudo_num_ig: 6.0487, pseudo_num_mining: 0.9059, pseudo_num(acc): 0.7850, pseudo_num ig(acc): 0.3924, loss: 0.8672
2021-11-07 05:34:10,823 - mmdet - INFO - Iter [36650/40000]	lr: 2.000e-02, eta: 1:46:57, time: 3.209, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0314, loss_cls: 0.0663, acc: 97.4106, loss_bbox: 0.1387, loss_rpn_cls_unlabeled: 0.0792, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1479, acc_unlabeled: 92.0616, loss_bbox_unlabeled: 0.1638, losses_cls_ig_unlabeled: 0.1319, pseudo_num: 1.6283, pseudo_num_ig: 6.0486, pseudo_num_mining: 0.9062, pseudo_num(acc): 0.7851, pseudo_num ig(acc): 0.3924, loss: 0.8595
2021-11-07 05:35:35,590 - mmdet - INFO - Iter [36700/40000]	lr: 2.000e-02, eta: 1:45:20, time: 1.693, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0083, loss_rpn_bbox: 0.0302, loss_cls: 0.0642, acc: 97.5082, loss_bbox: 0.1353, loss_rpn_cls_unlabeled: 0.0756, loss_rpn_bbox_unlabeled: 0.0820, loss_cls_unlabeled: 0.1513, acc_unlabeled: 92.3853, loss_bbox_unlabeled: 0.1679, losses_cls_ig_unlabeled: 0.1273, pseudo_num: 1.6281, pseudo_num_ig: 6.0483, pseudo_num_mining: 0.9066, pseudo_num(acc): 0.7852, pseudo_num ig(acc): 0.3924, loss: 0.8421
2021-11-07 05:37:00,570 - mmdet - INFO - Iter [36750/40000]	lr: 2.000e-02, eta: 1:43:43, time: 1.702, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0306, loss_cls: 0.0637, acc: 97.5289, loss_bbox: 0.1367, loss_rpn_cls_unlabeled: 0.0803, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1578, acc_unlabeled: 92.0282, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1344, pseudo_num: 1.6280, pseudo_num_ig: 6.0479, pseudo_num_mining: 0.9070, pseudo_num(acc): 0.7852, pseudo_num ig(acc): 0.3924, loss: 0.8782
2021-11-07 05:38:24,450 - mmdet - INFO - Iter [36800/40000]	lr: 2.000e-02, eta: 1:42:06, time: 1.678, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0298, loss_cls: 0.0642, acc: 97.5031, loss_bbox: 0.1360, loss_rpn_cls_unlabeled: 0.0813, loss_rpn_bbox_unlabeled: 0.0895, loss_cls_unlabeled: 0.1628, acc_unlabeled: 92.0748, loss_bbox_unlabeled: 0.1830, losses_cls_ig_unlabeled: 0.1317, pseudo_num: 1.6280, pseudo_num_ig: 6.0478, pseudo_num_mining: 0.9074, pseudo_num(acc): 0.7852, pseudo_num ig(acc): 0.3924, loss: 0.8872
2021-11-07 05:39:49,132 - mmdet - INFO - Iter [36850/40000]	lr: 2.000e-02, eta: 1:40:30, time: 1.691, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0087, loss_rpn_bbox: 0.0307, loss_cls: 0.0625, acc: 97.5587, loss_bbox: 0.1332, loss_rpn_cls_unlabeled: 0.0785, loss_rpn_bbox_unlabeled: 0.0894, loss_cls_unlabeled: 0.1553, acc_unlabeled: 92.0870, loss_bbox_unlabeled: 0.1764, losses_cls_ig_unlabeled: 0.1325, pseudo_num: 1.6280, pseudo_num_ig: 6.0477, pseudo_num_mining: 0.9079, pseudo_num(acc): 0.7853, pseudo_num ig(acc): 0.3925, loss: 0.8671
2021-11-07 05:41:12,480 - mmdet - INFO - Iter [36900/40000]	lr: 2.000e-02, eta: 1:38:53, time: 1.666, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0083, loss_rpn_bbox: 0.0302, loss_cls: 0.0632, acc: 97.5344, loss_bbox: 0.1374, loss_rpn_cls_unlabeled: 0.0795, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1568, acc_unlabeled: 92.1715, loss_bbox_unlabeled: 0.1767, losses_cls_ig_unlabeled: 0.1270, pseudo_num: 1.6279, pseudo_num_ig: 6.0477, pseudo_num_mining: 0.9084, pseudo_num(acc): 0.7854, pseudo_num ig(acc): 0.3925, loss: 0.8689
2021-11-07 05:42:35,792 - mmdet - INFO - Iter [36950/40000]	lr: 2.000e-02, eta: 1:37:16, time: 1.669, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0316, loss_cls: 0.0670, acc: 97.3873, loss_bbox: 0.1427, loss_rpn_cls_unlabeled: 0.0829, loss_rpn_bbox_unlabeled: 0.0922, loss_cls_unlabeled: 0.1541, acc_unlabeled: 91.8859, loss_bbox_unlabeled: 0.1689, losses_cls_ig_unlabeled: 0.1350, pseudo_num: 1.6278, pseudo_num_ig: 6.0478, pseudo_num_mining: 0.9088, pseudo_num(acc): 0.7854, pseudo_num ig(acc): 0.3925, loss: 0.8840
2021-11-07 05:43:58,889 - mmdet - INFO - pseudo pos: 0.98(71749.0-person) 0.87(1991.0-bicycle) 0.92(10602.0-car) 0.98(2137.0-motorcycle) 0.99(918.0-airplane) 0.99(1467.0-bus) 0.98(1467.0-train) 0.70(2525.0-truck) 0.68(2950.0-boat) 0.87(3822.0-traffic light) 0.99(484.0-fire hydrant) 0.94(550.0-stop sign) 0.79(436.0-parking meter) 0.67(2508.0-bench) 0.93(2047.0-bird) 0.97(1331.0-cat) 0.95(1280.0-dog) 0.97(1758.0-horse) 0.96(1414.0-sheep) 0.87(2787.0-cow) 0.99(1076.0-elephant) 0.99(384.0-bear) 0.99(1916.0-zebra) 0.99(1829.0-giraffe) 0.44(2295.0-backpack) 0.81(2974.0-umbrella) 0.44(3569.0-handbag) 0.87(1617.0-tie) 0.69(1893.0-suitcase) 0.92(691.0-frisbee) 0.62(1771.0-skis) 0.29(1031.0-snowboard) 0.95(1513.0-sports ball) 0.75(2512.0-kite) 0.83(835.0-baseball bat) 0.81(1106.0-baseball glove) 0.97(1376.0-skateboard) 0.87(1516.0-surfboard) 0.95(864.0-tennis racket) 0.82(5988.0-bottle) 0.94(1723.0-wine glass) 0.80(6439.0-cup) 0.49(964.0-fork) 0.33(2400.0-knife) 0.30(1831.0-spoon) 0.71(5521.0-bowl) 0.62(2670.0-banana) 0.35(2431.0-apple) 0.48(2048.0-sandwich) 0.49(1255.0-orange) 0.66(1725.0-broccoli) 0.42(2240.0-carrot) 0.04(6807.0-hot dog) 0.95(1546.0-pizza) 0.72(2192.0-donut) 0.55(1659.0-cake) 0.64(12729.0-chair) 0.79(1468.0-couch) 0.64(2543.0-potted plant) 0.92(1195.0-bed) 0.68(5381.0-dining table) 0.93(1015.0-toilet) 0.96(1638.0-tv) 0.97(1181.0-laptop) 0.96(375.0-mouse) 0.62(1250.0-remote) 0.72(732.0-keyboard) 0.68(2029.0-cell phone) 0.96(483.0-microwave) 0.79(1212.0-oven) 0.14(70.0-toaster) 0.76(1628.0-sink) 0.93(744.0-refrigerator) 0.24(6333.0-book) 0.95(1527.0-clock) 0.89(1504.0-vase) 0.55(494.0-scissors) 0.93(720.0-teddy bear) 0.00(0.0-hair drier) 0.23(739.0-toothbrush)
2021-11-07 05:43:59,125 - mmdet - INFO - pseudo ig: 0.56(267850.0-person) 0.30(7967.0-bicycle) 0.46(42678.0-car) 0.50(8414.0-motorcycle) 0.73(3230.0-airplane) 0.61(5542.0-bus) 0.54(4722.0-train) 0.30(9777.0-truck) 0.28(11454.0-boat) 0.30(15229.0-traffic light) 0.57(1920.0-fire hydrant) 0.51(2207.0-stop sign) 0.23(1440.0-parking meter) 0.18(9545.0-bench) 0.32(7356.0-bird) 0.70(4602.0-cat) 0.63(4494.0-dog) 0.53(6789.0-horse) 0.71(5227.0-sheep) 0.34(11209.0-cow) 0.80(4612.0-elephant) 0.61(1389.0-bear) 0.52(7300.0-zebra) 0.65(5986.0-giraffe) 0.18(8994.0-backpack) 0.33(11730.0-umbrella) 0.13(14523.0-handbag) 0.30(6598.0-tie) 0.21(7364.0-suitcase) 0.44(2897.0-frisbee) 0.28(6847.0-skis) 0.19(2354.0-snowboard) 0.35(6561.0-sports ball) 0.33(9855.0-kite) 0.26(3523.0-baseball bat) 0.28(4399.0-baseball glove) 0.45(5261.0-skateboard) 0.37(5868.0-surfboard) 0.70(3493.0-tennis racket) 0.33(25248.0-bottle) 0.38(7069.0-wine glass) 0.28(25749.0-cup) 0.24(3828.0-fork) 0.13(9581.0-knife) 0.10(7791.0-spoon) 0.27(21776.0-bowl) 0.21(10671.0-banana) 0.14(8569.0-apple) 0.24(4868.0-sandwich) 0.29(3500.0-orange) 0.33(7213.0-broccoli) 0.15(8702.0-carrot) 0.17(1363.0-hot dog) 0.47(5819.0-pizza) 0.27(7993.0-donut) 0.23(6251.0-cake) 0.20(49810.0-chair) 0.34(5619.0-couch) 0.28(10063.0-potted plant) 0.44(4293.0-bed) 0.30(16607.0-dining table) 0.59(4376.0-toilet) 0.50(5977.0-tv) 0.55(4455.0-laptop) 0.60(1402.0-mouse) 0.21(5279.0-remote) 0.48(2846.0-keyboard) 0.22(7694.0-cell phone) 0.37(1920.0-microwave) 0.24(4462.0-oven) 0.14(179.0-toaster) 0.37(6011.0-sink) 0.34(2652.0-refrigerator) 0.11(25114.0-book) 0.58(5698.0-clock) 0.35(5884.0-vase) 0.20(1838.0-scissors) 0.64(2898.0-teddy bear) 0.00(0.0-hair drier) 0.06(2583.0-toothbrush)
2021-11-07 05:43:59,125 - mmdet - INFO - pseudo gt: 322948.0 8936.0 54028.0 11355.0 6483.0 7738.0 5675.0 12375.0 13112.0 15764.0 2311.0 2566.0 1551.0 12487.0 12790.0 5894.0 6817.0 8533.0 11811.0 10358.0 7092.0 1635.0 6738.0 6571.0 11223.0 13864.0 15760.0 8013.0 7670.0 3433.0 8271.0 3361.0 7970.0 10901.0 4050.0 4525.0 7038.0 7352.0 5972.0 30211.0 9864.0 26174.0 6835.0 9747.0 7626.0 17824.0 11433.0 7365.0 5252.0 7906.0 8831.0 10097.0 3663.0 7326.0 8220.0 7779.0 47188.0 7124.0 10824.0 5242.0 19671.0 5217.0 7367.0 6320.0 2902.0 7166.0 3515.0 8192.0 1973.0 4037.0 288.0 6993.0 3250.0 30465.0 7813.0 8095.0 1906.0 5995.0 246.0 2478.0
2021-11-07 05:43:59,125 - mmdet - INFO - pseudo mining: 62039.0 235.0 8482.0 884.0 880.0 1264.0 806.0 369.0 627.0 1983.0 727.0 1395.0 25.0 77.0 348.0 1177.0 638.0 1215.0 2525.0 1011.0 2248.0 430.0 1973.0 2236.0 122.0 1184.0 103.0 392.0 98.0 770.0 233.0 36.0 2000.0 2465.0 534.0 854.0 767.0 367.0 1829.0 2534.0 433.0 2396.0 25.0 120.0 63.0 2215.0 292.0 314.0 132.0 884.0 977.0 449.0 3.0 796.0 1460.0 194.0 320.0 202.0 864.0 183.0 491.0 1880.0 1820.0 950.0 641.0 155.0 881.0 589.0 283.0 184.0 3.0 1215.0 171.0 383.0 3465.0 240.0 11.0 954.0 0.0 3.0
2021-11-07 05:45:24,923 - mmdet - INFO - current percent: 0.2
2021-11-07 05:45:24,924 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.98-bench) (0.99-bird) (1.00-cat) (0.99-dog) (0.99-horse) (0.99-sheep) (0.98-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.95-backpack) (0.99-umbrella) (0.89-handbag) (0.98-tie) (0.96-suitcase) (1.00-frisbee) (0.98-skis) (0.82-snowboard) (0.99-sports ball) (0.99-kite) (0.99-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.98-fork) (0.94-knife) (0.94-spoon) (0.99-bowl) (0.92-banana) (0.96-apple) (0.98-sandwich) (0.99-orange) (0.99-broccoli) (0.97-carrot) (0.94-hot dog) (0.99-pizza) (0.99-donut) (0.98-cake) (0.96-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.94-remote) (1.00-keyboard) (0.99-cell phone) (1.00-microwave) (0.99-oven) (0.78-toaster) (1.00-sink) (1.00-refrigerator) (0.94-book) (1.00-clock) (0.99-vase) (0.89-scissors) (1.00-teddy bear) (0.05-hair drier) (0.84-toothbrush)
2021-11-07 05:45:24,925 - mmdet - INFO - update score thr (ignore): (0.13-person) (0.12-bicycle) (0.33-car) (0.15-motorcycle) (0.50-airplane) (0.30-bus) (0.35-train) (0.29-truck) (0.22-boat) (0.26-traffic light) (0.78-fire hydrant) (0.55-stop sign) (0.08-parking meter) (0.24-bench) (0.11-bird) (0.42-cat) (0.44-dog) (0.13-horse) (0.73-sheep) (0.31-cow) (0.87-elephant) (0.40-bear) (0.05-zebra) (0.10-giraffe) (0.34-backpack) (0.11-umbrella) (0.16-handbag) (0.20-tie) (0.17-suitcase) (0.55-frisbee) (0.25-skis) (0.13-snowboard) (0.38-sports ball) (0.36-kite) (0.47-baseball bat) (0.68-baseball glove) (0.33-skateboard) (0.19-surfboard) (0.55-tennis racket) (0.40-bottle) (0.07-wine glass) (0.26-cup) (0.09-fork) (0.30-knife) (0.22-spoon) (0.46-bowl) (0.06-banana) (0.23-apple) (0.25-sandwich) (0.81-orange) (0.50-broccoli) (0.54-carrot) (0.38-hot dog) (0.37-pizza) (0.50-donut) (0.20-cake) (0.12-chair) (0.30-couch) (0.32-potted plant) (0.41-bed) (0.21-dining table) (0.84-toilet) (0.52-tv) (0.36-laptop) (0.70-mouse) (0.19-remote) (0.52-keyboard) (0.53-cell phone) (0.53-microwave) (0.33-oven) (0.23-toaster) (0.51-sink) (0.55-refrigerator) (0.21-book) (0.73-clock) (0.27-vase) (0.14-scissors) (0.71-teddy bear) (0.05-hair drier) (0.13-toothbrush)
2021-11-07 05:45:25,238 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 05:45:25,238 - mmdet - INFO - Iter [37000/40000]	lr: 2.000e-02, eta: 1:35:40, time: 1.692, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0315, loss_cls: 0.0643, acc: 97.4965, loss_bbox: 0.1371, loss_rpn_cls_unlabeled: 0.0822, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1578, acc_unlabeled: 92.0959, loss_bbox_unlabeled: 0.1735, losses_cls_ig_unlabeled: 0.1324, pseudo_num: 1.6276, pseudo_num_ig: 6.0479, pseudo_num_mining: 0.9092, pseudo_num(acc): 0.7855, pseudo_num ig(acc): 0.3926, loss: 0.8773
2021-11-07 05:46:49,465 - mmdet - INFO - Iter [37050/40000]	lr: 2.000e-02, eta: 1:34:10, time: 3.383, data_time: 1.723, memory: 26488, loss_rpn_cls: 0.0085, loss_rpn_bbox: 0.0298, loss_cls: 0.0631, acc: 97.5599, loss_bbox: 0.1352, loss_rpn_cls_unlabeled: 0.0783, loss_rpn_bbox_unlabeled: 0.0918, loss_cls_unlabeled: 0.1561, acc_unlabeled: 91.9857, loss_bbox_unlabeled: 0.1739, losses_cls_ig_unlabeled: 0.1325, pseudo_num: 1.6276, pseudo_num_ig: 6.0479, pseudo_num_mining: 0.9097, pseudo_num(acc): 0.7855, pseudo_num ig(acc): 0.3926, loss: 0.8692
2021-11-07 05:48:13,843 - mmdet - INFO - Iter [37100/40000]	lr: 2.000e-02, eta: 1:32:33, time: 1.688, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0298, loss_cls: 0.0639, acc: 97.5106, loss_bbox: 0.1362, loss_rpn_cls_unlabeled: 0.0803, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1593, acc_unlabeled: 92.0234, loss_bbox_unlabeled: 0.1768, losses_cls_ig_unlabeled: 0.1275, pseudo_num: 1.6274, pseudo_num_ig: 6.0481, pseudo_num_mining: 0.9102, pseudo_num(acc): 0.7855, pseudo_num ig(acc): 0.3926, loss: 0.8759
2021-11-07 05:49:37,911 - mmdet - INFO - Iter [37150/40000]	lr: 2.000e-02, eta: 1:30:57, time: 1.681, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0090, loss_rpn_bbox: 0.0299, loss_cls: 0.0647, acc: 97.4814, loss_bbox: 0.1332, loss_rpn_cls_unlabeled: 0.0772, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1546, acc_unlabeled: 92.1216, loss_bbox_unlabeled: 0.1769, losses_cls_ig_unlabeled: 0.1294, pseudo_num: 1.6274, pseudo_num_ig: 6.0480, pseudo_num_mining: 0.9107, pseudo_num(acc): 0.7856, pseudo_num ig(acc): 0.3926, loss: 0.8654
2021-11-07 05:51:02,314 - mmdet - INFO - Iter [37200/40000]	lr: 2.000e-02, eta: 1:29:20, time: 1.686, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0310, loss_cls: 0.0645, acc: 97.5145, loss_bbox: 0.1353, loss_rpn_cls_unlabeled: 0.0791, loss_rpn_bbox_unlabeled: 0.0950, loss_cls_unlabeled: 0.1593, acc_unlabeled: 92.0393, loss_bbox_unlabeled: 0.1803, losses_cls_ig_unlabeled: 0.1312, pseudo_num: 1.6273, pseudo_num_ig: 6.0481, pseudo_num_mining: 0.9111, pseudo_num(acc): 0.7856, pseudo_num ig(acc): 0.3926, loss: 0.8857
2021-11-07 05:52:27,190 - mmdet - INFO - Iter [37250/40000]	lr: 2.000e-02, eta: 1:27:43, time: 1.697, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0319, loss_cls: 0.0681, acc: 97.3406, loss_bbox: 0.1404, loss_rpn_cls_unlabeled: 0.0787, loss_rpn_bbox_unlabeled: 0.0905, loss_cls_unlabeled: 0.1596, acc_unlabeled: 91.9805, loss_bbox_unlabeled: 0.1723, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6272, pseudo_num_ig: 6.0479, pseudo_num_mining: 0.9115, pseudo_num(acc): 0.7857, pseudo_num ig(acc): 0.3927, loss: 0.8847
2021-11-07 05:53:52,165 - mmdet - INFO - Iter [37300/40000]	lr: 2.000e-02, eta: 1:26:07, time: 1.701, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0320, loss_cls: 0.0672, acc: 97.3647, loss_bbox: 0.1431, loss_rpn_cls_unlabeled: 0.0776, loss_rpn_bbox_unlabeled: 0.0893, loss_cls_unlabeled: 0.1519, acc_unlabeled: 91.9648, loss_bbox_unlabeled: 0.1711, losses_cls_ig_unlabeled: 0.1344, pseudo_num: 1.6271, pseudo_num_ig: 6.0477, pseudo_num_mining: 0.9118, pseudo_num(acc): 0.7858, pseudo_num ig(acc): 0.3927, loss: 0.8760
2021-11-07 05:55:15,994 - mmdet - INFO - Iter [37350/40000]	lr: 2.000e-02, eta: 1:24:30, time: 1.674, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0306, loss_cls: 0.0653, acc: 97.4847, loss_bbox: 0.1357, loss_rpn_cls_unlabeled: 0.0823, loss_rpn_bbox_unlabeled: 0.0931, loss_cls_unlabeled: 0.1586, acc_unlabeled: 92.0144, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1295, pseudo_num: 1.6271, pseudo_num_ig: 6.0479, pseudo_num_mining: 0.9122, pseudo_num(acc): 0.7858, pseudo_num ig(acc): 0.3927, loss: 0.8820
2021-11-07 05:56:39,769 - mmdet - INFO - Iter [37400/40000]	lr: 2.000e-02, eta: 1:22:54, time: 1.676, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0308, loss_cls: 0.0654, acc: 97.4541, loss_bbox: 0.1371, loss_rpn_cls_unlabeled: 0.0814, loss_rpn_bbox_unlabeled: 0.0887, loss_cls_unlabeled: 0.1577, acc_unlabeled: 92.0686, loss_bbox_unlabeled: 0.1758, losses_cls_ig_unlabeled: 0.1310, pseudo_num: 1.6271, pseudo_num_ig: 6.0477, pseudo_num_mining: 0.9125, pseudo_num(acc): 0.7859, pseudo_num ig(acc): 0.3927, loss: 0.8774
2021-11-07 05:58:03,152 - mmdet - INFO - Iter [37450/40000]	lr: 2.000e-02, eta: 1:21:17, time: 1.670, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0089, loss_rpn_bbox: 0.0309, loss_cls: 0.0656, acc: 97.4237, loss_bbox: 0.1395, loss_rpn_cls_unlabeled: 0.0818, loss_rpn_bbox_unlabeled: 0.0951, loss_cls_unlabeled: 0.1566, acc_unlabeled: 91.9738, loss_bbox_unlabeled: 0.1778, losses_cls_ig_unlabeled: 0.1341, pseudo_num: 1.6270, pseudo_num_ig: 6.0475, pseudo_num_mining: 0.9129, pseudo_num(acc): 0.7859, pseudo_num ig(acc): 0.3927, loss: 0.8903
2021-11-07 05:59:25,389 - mmdet - INFO - pseudo pos: 0.98(72654.0-person) 0.87(2019.0-bicycle) 0.92(10740.0-car) 0.98(2164.0-motorcycle) 0.99(934.0-airplane) 0.99(1492.0-bus) 0.98(1492.0-train) 0.70(2557.0-truck) 0.68(2997.0-boat) 0.87(3862.0-traffic light) 0.99(488.0-fire hydrant) 0.94(558.0-stop sign) 0.79(439.0-parking meter) 0.67(2543.0-bench) 0.93(2080.0-bird) 0.97(1350.0-cat) 0.95(1306.0-dog) 0.97(1791.0-horse) 0.96(1451.0-sheep) 0.87(2805.0-cow) 0.99(1090.0-elephant) 0.99(385.0-bear) 0.99(1950.0-zebra) 0.99(1850.0-giraffe) 0.44(2326.0-backpack) 0.81(3026.0-umbrella) 0.44(3629.0-handbag) 0.87(1640.0-tie) 0.69(1918.0-suitcase) 0.92(702.0-frisbee) 0.62(1793.0-skis) 0.29(1038.0-snowboard) 0.95(1537.0-sports ball) 0.75(2548.0-kite) 0.83(846.0-baseball bat) 0.81(1120.0-baseball glove) 0.97(1393.0-skateboard) 0.87(1536.0-surfboard) 0.95(875.0-tennis racket) 0.82(6059.0-bottle) 0.94(1748.0-wine glass) 0.80(6516.0-cup) 0.49(971.0-fork) 0.33(2434.0-knife) 0.30(1850.0-spoon) 0.71(5570.0-bowl) 0.62(2713.0-banana) 0.36(2459.0-apple) 0.48(2063.0-sandwich) 0.49(1261.0-orange) 0.66(1740.0-broccoli) 0.42(2256.0-carrot) 0.04(6813.0-hot dog) 0.95(1567.0-pizza) 0.72(2206.0-donut) 0.55(1675.0-cake) 0.64(12868.0-chair) 0.80(1482.0-couch) 0.64(2578.0-potted plant) 0.92(1211.0-bed) 0.68(5436.0-dining table) 0.93(1026.0-toilet) 0.96(1654.0-tv) 0.97(1195.0-laptop) 0.96(377.0-mouse) 0.63(1278.0-remote) 0.72(741.0-keyboard) 0.68(2055.0-cell phone) 0.97(487.0-microwave) 0.79(1231.0-oven) 0.14(70.0-toaster) 0.76(1640.0-sink) 0.93(752.0-refrigerator) 0.24(6429.0-book) 0.95(1540.0-clock) 0.89(1519.0-vase) 0.55(511.0-scissors) 0.94(735.0-teddy bear) 0.00(0.0-hair drier) 0.23(748.0-toothbrush)
2021-11-07 05:59:25,390 - mmdet - INFO - pseudo ig: 0.56(271528.0-person) 0.30(8075.0-bicycle) 0.46(43271.0-car) 0.50(8501.0-motorcycle) 0.73(3280.0-airplane) 0.61(5612.0-bus) 0.54(4783.0-train) 0.30(9910.0-truck) 0.28(11616.0-boat) 0.30(15404.0-traffic light) 0.57(1945.0-fire hydrant) 0.51(2246.0-stop sign) 0.23(1456.0-parking meter) 0.18(9675.0-bench) 0.32(7444.0-bird) 0.70(4665.0-cat) 0.63(4547.0-dog) 0.53(6902.0-horse) 0.71(5313.0-sheep) 0.35(11293.0-cow) 0.80(4665.0-elephant) 0.61(1409.0-bear) 0.51(7425.0-zebra) 0.65(6069.0-giraffe) 0.18(9113.0-backpack) 0.33(11927.0-umbrella) 0.13(14723.0-handbag) 0.31(6676.0-tie) 0.21(7464.0-suitcase) 0.44(2936.0-frisbee) 0.28(6928.0-skis) 0.19(2387.0-snowboard) 0.35(6645.0-sports ball) 0.33(9960.0-kite) 0.26(3578.0-baseball bat) 0.28(4443.0-baseball glove) 0.45(5318.0-skateboard) 0.37(5972.0-surfboard) 0.70(3543.0-tennis racket) 0.33(25554.0-bottle) 0.38(7168.0-wine glass) 0.28(26066.0-cup) 0.24(3862.0-fork) 0.13(9691.0-knife) 0.10(7863.0-spoon) 0.27(22050.0-bowl) 0.21(10803.0-banana) 0.14(8646.0-apple) 0.24(4913.0-sandwich) 0.29(3519.0-orange) 0.33(7276.0-broccoli) 0.16(8770.0-carrot) 0.18(1377.0-hot dog) 0.47(5884.0-pizza) 0.27(8094.0-donut) 0.23(6358.0-cake) 0.20(50466.0-chair) 0.34(5705.0-couch) 0.28(10186.0-potted plant) 0.44(4344.0-bed) 0.30(16795.0-dining table) 0.59(4427.0-toilet) 0.50(6058.0-tv) 0.55(4545.0-laptop) 0.60(1429.0-mouse) 0.21(5339.0-remote) 0.48(2902.0-keyboard) 0.22(7801.0-cell phone) 0.37(1954.0-microwave) 0.24(4545.0-oven) 0.14(182.0-toaster) 0.37(6088.0-sink) 0.33(2690.0-refrigerator) 0.11(25473.0-book) 0.58(5772.0-clock) 0.35(5948.0-vase) 0.21(1872.0-scissors) 0.64(2942.0-teddy bear) 0.00(0.0-hair drier) 0.06(2615.0-toothbrush)
2021-11-07 05:59:25,390 - mmdet - INFO - pseudo gt: 327149.0 9076.0 54829.0 11462.0 6569.0 7837.0 5752.0 12551.0 13290.0 15917.0 2343.0 2596.0 1560.0 12647.0 12933.0 5971.0 6910.0 8651.0 12006.0 10430.0 7189.0 1656.0 6855.0 6659.0 11381.0 14063.0 15986.0 8123.0 7748.0 3478.0 8377.0 3397.0 8085.0 11022.0 4114.0 4585.0 7141.0 7461.0 6043.0 30582.0 10017.0 26538.0 6903.0 9867.0 7719.0 18047.0 11586.0 7467.0 5319.0 7966.0 8897.0 10170.0 3709.0 7420.0 8279.0 7874.0 47782.0 7231.0 10946.0 5309.0 19918.0 5287.0 7448.0 6408.0 2945.0 7268.0 3571.0 8319.0 2003.0 4097.0 295.0 7083.0 3290.0 30887.0 7901.0 8215.0 1937.0 6087.0 249.0 2500.0
2021-11-07 05:59:25,390 - mmdet - INFO - pseudo mining: 63025.0 248.0 8633.0 898.0 898.0 1293.0 832.0 377.0 637.0 2012.0 744.0 1424.0 25.0 78.0 357.0 1198.0 649.0 1236.0 2572.0 1024.0 2286.0 440.0 2005.0 2272.0 126.0 1210.0 103.0 406.0 98.0 787.0 240.0 36.0 2026.0 2497.0 544.0 878.0 782.0 376.0 1861.0 2591.0 438.0 2439.0 25.0 120.0 63.0 2269.0 292.0 318.0 133.0 898.0 1004.0 461.0 3.0 808.0 1485.0 200.0 331.0 211.0 881.0 186.0 496.0 1922.0 1854.0 974.0 658.0 157.0 902.0 611.0 293.0 189.0 3.0 1251.0 179.0 394.0 3513.0 248.0 11.0 970.0 0.0 3.0
2021-11-07 05:59:26,963 - mmdet - INFO - Iter [37500/40000]	lr: 2.000e-02, eta: 1:19:41, time: 1.676, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0087, loss_rpn_bbox: 0.0294, loss_cls: 0.0629, acc: 97.5394, loss_bbox: 0.1331, loss_rpn_cls_unlabeled: 0.0798, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1607, acc_unlabeled: 92.0897, loss_bbox_unlabeled: 0.1765, losses_cls_ig_unlabeled: 0.1296, pseudo_num: 1.6270, pseudo_num_ig: 6.0473, pseudo_num_mining: 0.9132, pseudo_num(acc): 0.7860, pseudo_num ig(acc): 0.3927, loss: 0.8714
2021-11-07 06:00:51,704 - mmdet - INFO - Iter [37550/40000]	lr: 2.000e-02, eta: 1:18:05, time: 1.696, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0303, loss_cls: 0.0637, acc: 97.5442, loss_bbox: 0.1349, loss_rpn_cls_unlabeled: 0.0773, loss_rpn_bbox_unlabeled: 0.0900, loss_cls_unlabeled: 0.1512, acc_unlabeled: 92.1633, loss_bbox_unlabeled: 0.1697, losses_cls_ig_unlabeled: 0.1291, pseudo_num: 1.6270, pseudo_num_ig: 6.0473, pseudo_num_mining: 0.9135, pseudo_num(acc): 0.7861, pseudo_num ig(acc): 0.3927, loss: 0.8560
2021-11-07 06:02:15,783 - mmdet - INFO - Iter [37600/40000]	lr: 2.000e-02, eta: 1:16:28, time: 1.677, data_time: 0.024, memory: 26488, loss_rpn_cls: 0.0089, loss_rpn_bbox: 0.0311, loss_cls: 0.0653, acc: 97.4542, loss_bbox: 0.1366, loss_rpn_cls_unlabeled: 0.0795, loss_rpn_bbox_unlabeled: 0.0889, loss_cls_unlabeled: 0.1564, acc_unlabeled: 92.0243, loss_bbox_unlabeled: 0.1716, losses_cls_ig_unlabeled: 0.1323, pseudo_num: 1.6269, pseudo_num_ig: 6.0473, pseudo_num_mining: 0.9139, pseudo_num(acc): 0.7861, pseudo_num ig(acc): 0.3927, loss: 0.8705
2021-11-07 06:03:40,736 - mmdet - INFO - Iter [37650/40000]	lr: 2.000e-02, eta: 1:14:52, time: 1.698, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0321, loss_cls: 0.0648, acc: 97.4609, loss_bbox: 0.1359, loss_rpn_cls_unlabeled: 0.0739, loss_rpn_bbox_unlabeled: 0.0921, loss_cls_unlabeled: 0.1595, acc_unlabeled: 91.7745, loss_bbox_unlabeled: 0.1732, losses_cls_ig_unlabeled: 0.1387, pseudo_num: 1.6268, pseudo_num_ig: 6.0475, pseudo_num_mining: 0.9144, pseudo_num(acc): 0.7861, pseudo_num ig(acc): 0.3927, loss: 0.8797
2021-11-07 06:05:07,390 - mmdet - INFO - Iter [37700/40000]	lr: 2.000e-02, eta: 1:13:16, time: 1.735, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0308, loss_cls: 0.0646, acc: 97.5033, loss_bbox: 0.1345, loss_rpn_cls_unlabeled: 0.0787, loss_rpn_bbox_unlabeled: 0.0885, loss_cls_unlabeled: 0.1523, acc_unlabeled: 92.0753, loss_bbox_unlabeled: 0.1683, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6267, pseudo_num_ig: 6.0475, pseudo_num_mining: 0.9148, pseudo_num(acc): 0.7862, pseudo_num ig(acc): 0.3927, loss: 0.8606
2021-11-07 06:06:32,189 - mmdet - INFO - Iter [37750/40000]	lr: 2.000e-02, eta: 1:11:40, time: 1.696, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0090, loss_rpn_bbox: 0.0300, loss_cls: 0.0645, acc: 97.4895, loss_bbox: 0.1385, loss_rpn_cls_unlabeled: 0.0806, loss_rpn_bbox_unlabeled: 0.0892, loss_cls_unlabeled: 0.1601, acc_unlabeled: 92.0166, loss_bbox_unlabeled: 0.1754, losses_cls_ig_unlabeled: 0.1351, pseudo_num: 1.6267, pseudo_num_ig: 6.0474, pseudo_num_mining: 0.9151, pseudo_num(acc): 0.7863, pseudo_num ig(acc): 0.3927, loss: 0.8825
2021-11-07 06:07:59,129 - mmdet - INFO - Iter [37800/40000]	lr: 2.000e-02, eta: 1:10:04, time: 1.740, data_time: 0.036, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0310, loss_cls: 0.0658, acc: 97.4326, loss_bbox: 0.1388, loss_rpn_cls_unlabeled: 0.0786, loss_rpn_bbox_unlabeled: 0.0879, loss_cls_unlabeled: 0.1583, acc_unlabeled: 91.9574, loss_bbox_unlabeled: 0.1736, losses_cls_ig_unlabeled: 0.1360, pseudo_num: 1.6266, pseudo_num_ig: 6.0472, pseudo_num_mining: 0.9154, pseudo_num(acc): 0.7863, pseudo_num ig(acc): 0.3927, loss: 0.8794
2021-11-07 06:09:24,418 - mmdet - INFO - Iter [37850/40000]	lr: 2.000e-02, eta: 1:08:27, time: 1.707, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0306, loss_cls: 0.0652, acc: 97.4708, loss_bbox: 0.1354, loss_rpn_cls_unlabeled: 0.0844, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1663, acc_unlabeled: 91.9568, loss_bbox_unlabeled: 0.1801, losses_cls_ig_unlabeled: 0.1277, pseudo_num: 1.6265, pseudo_num_ig: 6.0472, pseudo_num_mining: 0.9157, pseudo_num(acc): 0.7864, pseudo_num ig(acc): 0.3927, loss: 0.8916
2021-11-07 06:10:50,462 - mmdet - INFO - Iter [37900/40000]	lr: 2.000e-02, eta: 1:06:51, time: 1.718, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0315, loss_cls: 0.0674, acc: 97.3708, loss_bbox: 0.1402, loss_rpn_cls_unlabeled: 0.0785, loss_rpn_bbox_unlabeled: 0.0906, loss_cls_unlabeled: 0.1529, acc_unlabeled: 91.9761, loss_bbox_unlabeled: 0.1728, losses_cls_ig_unlabeled: 0.1322, pseudo_num: 1.6265, pseudo_num_ig: 6.0472, pseudo_num_mining: 0.9161, pseudo_num(acc): 0.7864, pseudo_num ig(acc): 0.3927, loss: 0.8761
2021-11-07 06:12:14,796 - mmdet - INFO - Iter [37950/40000]	lr: 2.000e-02, eta: 1:05:15, time: 1.690, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0298, loss_cls: 0.0640, acc: 97.5071, loss_bbox: 0.1344, loss_rpn_cls_unlabeled: 0.0795, loss_rpn_bbox_unlabeled: 0.0926, loss_cls_unlabeled: 0.1589, acc_unlabeled: 91.9547, loss_bbox_unlabeled: 0.1800, losses_cls_ig_unlabeled: 0.1359, pseudo_num: 1.6265, pseudo_num_ig: 6.0472, pseudo_num_mining: 0.9164, pseudo_num(acc): 0.7864, pseudo_num ig(acc): 0.3927, loss: 0.8846
2021-11-07 06:13:37,099 - mmdet - INFO - pseudo pos: 0.98(73638.0-person) 0.87(2037.0-bicycle) 0.92(10902.0-car) 0.98(2193.0-motorcycle) 0.99(949.0-airplane) 0.99(1520.0-bus) 0.98(1513.0-train) 0.70(2589.0-truck) 0.68(3032.0-boat) 0.87(3902.0-traffic light) 0.99(497.0-fire hydrant) 0.94(569.0-stop sign) 0.79(445.0-parking meter) 0.67(2565.0-bench) 0.93(2101.0-bird) 0.97(1370.0-cat) 0.95(1329.0-dog) 0.97(1823.0-horse) 0.96(1465.0-sheep) 0.87(2833.0-cow) 0.99(1101.0-elephant) 0.99(387.0-bear) 0.99(1970.0-zebra) 0.99(1872.0-giraffe) 0.45(2363.0-backpack) 0.81(3074.0-umbrella) 0.44(3682.0-handbag) 0.88(1669.0-tie) 0.69(1946.0-suitcase) 0.92(713.0-frisbee) 0.62(1819.0-skis) 0.29(1047.0-snowboard) 0.95(1561.0-sports ball) 0.75(2588.0-kite) 0.83(857.0-baseball bat) 0.81(1125.0-baseball glove) 0.97(1411.0-skateboard) 0.87(1559.0-surfboard) 0.95(884.0-tennis racket) 0.82(6128.0-bottle) 0.94(1760.0-wine glass) 0.80(6609.0-cup) 0.49(983.0-fork) 0.33(2462.0-knife) 0.30(1878.0-spoon) 0.71(5660.0-bowl) 0.62(2739.0-banana) 0.36(2495.0-apple) 0.48(2073.0-sandwich) 0.49(1268.0-orange) 0.66(1756.0-broccoli) 0.41(2289.0-carrot) 0.04(6814.0-hot dog) 0.95(1584.0-pizza) 0.72(2259.0-donut) 0.55(1692.0-cake) 0.64(12989.0-chair) 0.80(1503.0-couch) 0.64(2609.0-potted plant) 0.92(1226.0-bed) 0.68(5502.0-dining table) 0.93(1035.0-toilet) 0.96(1674.0-tv) 0.97(1205.0-laptop) 0.96(381.0-mouse) 0.63(1299.0-remote) 0.72(748.0-keyboard) 0.68(2073.0-cell phone) 0.97(492.0-microwave) 0.79(1247.0-oven) 0.14(71.0-toaster) 0.76(1667.0-sink) 0.93(759.0-refrigerator) 0.24(6509.0-book) 0.95(1555.0-clock) 0.89(1539.0-vase) 0.56(515.0-scissors) 0.94(745.0-teddy bear) 0.00(0.0-hair drier) 0.24(752.0-toothbrush)
2021-11-07 06:13:37,100 - mmdet - INFO - pseudo ig: 0.56(275059.0-person) 0.30(8201.0-bicycle) 0.46(43844.0-car) 0.50(8614.0-motorcycle) 0.73(3314.0-airplane) 0.61(5672.0-bus) 0.54(4842.0-train) 0.30(10038.0-truck) 0.28(11751.0-boat) 0.30(15597.0-traffic light) 0.57(1969.0-fire hydrant) 0.51(2271.0-stop sign) 0.23(1472.0-parking meter) 0.18(9768.0-bench) 0.32(7537.0-bird) 0.70(4734.0-cat) 0.63(4603.0-dog) 0.53(6995.0-horse) 0.71(5370.0-sheep) 0.34(11416.0-cow) 0.80(4710.0-elephant) 0.61(1435.0-bear) 0.52(7561.0-zebra) 0.65(6143.0-giraffe) 0.18(9218.0-backpack) 0.33(12134.0-umbrella) 0.13(14958.0-handbag) 0.31(6769.0-tie) 0.21(7570.0-suitcase) 0.44(2980.0-frisbee) 0.28(7032.0-skis) 0.19(2422.0-snowboard) 0.34(6741.0-sports ball) 0.33(10093.0-kite) 0.26(3612.0-baseball bat) 0.28(4485.0-baseball glove) 0.46(5405.0-skateboard) 0.37(6080.0-surfboard) 0.70(3600.0-tennis racket) 0.33(25899.0-bottle) 0.38(7285.0-wine glass) 0.28(26409.0-cup) 0.24(3900.0-fork) 0.13(9794.0-knife) 0.10(7974.0-spoon) 0.27(22357.0-bowl) 0.21(10928.0-banana) 0.14(8763.0-apple) 0.24(4961.0-sandwich) 0.29(3557.0-orange) 0.33(7363.0-broccoli) 0.16(8878.0-carrot) 0.18(1393.0-hot dog) 0.47(5943.0-pizza) 0.27(8269.0-donut) 0.23(6461.0-cake) 0.20(51074.0-chair) 0.34(5760.0-couch) 0.28(10324.0-potted plant) 0.44(4377.0-bed) 0.30(17015.0-dining table) 0.59(4475.0-toilet) 0.50(6138.0-tv) 0.55(4606.0-laptop) 0.60(1452.0-mouse) 0.21(5399.0-remote) 0.48(2944.0-keyboard) 0.22(7900.0-cell phone) 0.37(1978.0-microwave) 0.23(4614.0-oven) 0.14(183.0-toaster) 0.37(6162.0-sink) 0.34(2724.0-refrigerator) 0.11(25795.0-book) 0.58(5835.0-clock) 0.35(6022.0-vase) 0.21(1889.0-scissors) 0.64(2985.0-teddy bear) 0.00(0.0-hair drier) 0.06(2638.0-toothbrush)
2021-11-07 06:13:37,542 - mmdet - INFO - pseudo gt: 331378.0 9206.0 55578.0 11611.0 6626.0 7928.0 5826.0 12733.0 13464.0 16081.0 2383.0 2624.0 1579.0 12798.0 13129.0 6049.0 6992.0 8779.0 12160.0 10510.0 7268.0 1684.0 6974.0 6747.0 11530.0 14262.0 16188.0 8257.0 7868.0 3511.0 8515.0 3436.0 8190.0 11172.0 4160.0 4651.0 7248.0 7560.0 6126.0 31026.0 10134.0 26910.0 6995.0 9991.0 7839.0 18310.0 11683.0 7543.0 5412.0 8057.0 8999.0 10301.0 3748.0 7492.0 8409.0 7988.0 48404.0 7314.0 11097.0 5366.0 20145.0 5352.0 7549.0 6485.0 2978.0 7369.0 3617.0 8407.0 2022.0 4159.0 297.0 7175.0 3335.0 31214.0 7989.0 8333.0 1955.0 6159.0 253.0 2523.0
2021-11-07 06:13:37,542 - mmdet - INFO - pseudo mining: 64029.0 256.0 8782.0 910.0 909.0 1309.0 847.0 385.0 649.0 2042.0 758.0 1438.0 26.0 82.0 362.0 1220.0 658.0 1250.0 2601.0 1045.0 2319.0 456.0 2056.0 2315.0 132.0 1245.0 107.0 414.0 99.0 799.0 244.0 36.0 2057.0 2542.0 549.0 901.0 811.0 386.0 1895.0 2638.0 445.0 2484.0 26.0 121.0 68.0 2344.0 294.0 325.0 134.0 923.0 1025.0 473.0 3.0 819.0 1523.0 207.0 337.0 212.0 905.0 189.0 507.0 1959.0 1881.0 996.0 672.0 157.0 922.0 632.0 301.0 199.0 3.0 1275.0 183.0 403.0 3558.0 255.0 11.0 991.0 0.0 3.0
2021-11-07 06:14:33,936 - mmdet - INFO - Evaluating bbox...
2021-11-07 06:15:35,694 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.384 | bicycle      | 0.168 | car            | 0.309 |
| motorcycle    | 0.248 | airplane     | 0.338 | bus            | 0.480 |
| train         | 0.402 | truck        | 0.136 | boat           | 0.129 |
| traffic light | 0.209 | fire hydrant | 0.463 | stop sign      | 0.421 |
| parking meter | 0.372 | bench        | 0.126 | bird           | 0.184 |
| cat           | 0.420 | dog          | 0.380 | horse          | 0.392 |
| sheep         | 0.321 | cow          | 0.358 | elephant       | 0.432 |
| bear          | 0.495 | zebra        | 0.467 | giraffe        | 0.511 |
| backpack      | 0.055 | umbrella     | 0.199 | handbag        | 0.046 |
| tie           | 0.183 | suitcase     | 0.121 | frisbee        | 0.395 |
| skis          | 0.075 | snowboard    | 0.051 | sports ball    | 0.295 |
| kite          | 0.242 | baseball bat | 0.128 | baseball glove | 0.183 |
| skateboard    | 0.302 | surfboard    | 0.201 | tennis racket  | 0.273 |
| bottle        | 0.240 | wine glass   | 0.207 | cup            | 0.267 |
| fork          | 0.051 | knife        | 0.048 | spoon          | 0.026 |
| bowl          | 0.257 | banana       | 0.081 | apple          | 0.060 |
| sandwich      | 0.184 | orange       | 0.148 | broccoli       | 0.133 |
| carrot        | 0.043 | hot dog      | 0.061 | pizza          | 0.332 |
| donut         | 0.201 | cake         | 0.120 | chair          | 0.113 |
| couch         | 0.226 | potted plant | 0.113 | bed            | 0.279 |
| dining table  | 0.152 | toilet       | 0.406 | tv             | 0.391 |
| laptop        | 0.386 | mouse        | 0.426 | remote         | 0.058 |
| keyboard      | 0.265 | cell phone   | 0.172 | microwave      | 0.355 |
| oven          | 0.163 | toaster      | 0.055 | sink           | 0.164 |
| refrigerator  | 0.330 | book         | 0.021 | clock          | 0.387 |
| vase          | 0.220 | scissors     | 0.138 | teddy bear     | 0.258 |
| hair drier    | 0.000 | toothbrush   | 0.051 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 06:16:29,492 - mmdet - INFO - Evaluating bbox...
2021-11-07 06:17:29,562 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.397 | bicycle      | 0.186 | car            | 0.318 |
| motorcycle    | 0.258 | airplane     | 0.370 | bus            | 0.496 |
| train         | 0.444 | truck        | 0.138 | boat           | 0.135 |
| traffic light | 0.217 | fire hydrant | 0.482 | stop sign      | 0.466 |
| parking meter | 0.369 | bench        | 0.145 | bird           | 0.188 |
| cat           | 0.433 | dog          | 0.403 | horse          | 0.408 |
| sheep         | 0.330 | cow          | 0.390 | elephant       | 0.445 |
| bear          | 0.507 | zebra        | 0.480 | giraffe        | 0.537 |
| backpack      | 0.065 | umbrella     | 0.220 | handbag        | 0.052 |
| tie           | 0.190 | suitcase     | 0.121 | frisbee        | 0.436 |
| skis          | 0.081 | snowboard    | 0.051 | sports ball    | 0.309 |
| kite          | 0.244 | baseball bat | 0.135 | baseball glove | 0.202 |
| skateboard    | 0.309 | surfboard    | 0.229 | tennis racket  | 0.276 |
| bottle        | 0.250 | wine glass   | 0.207 | cup            | 0.264 |
| fork          | 0.063 | knife        | 0.046 | spoon          | 0.034 |
| bowl          | 0.287 | banana       | 0.093 | apple          | 0.070 |
| sandwich      | 0.208 | orange       | 0.161 | broccoli       | 0.146 |
| carrot        | 0.050 | hot dog      | 0.077 | pizza          | 0.367 |
| donut         | 0.220 | cake         | 0.121 | chair          | 0.121 |
| couch         | 0.262 | potted plant | 0.114 | bed            | 0.307 |
| dining table  | 0.141 | toilet       | 0.422 | tv             | 0.420 |
| laptop        | 0.415 | mouse        | 0.453 | remote         | 0.077 |
| keyboard      | 0.268 | cell phone   | 0.196 | microwave      | 0.384 |
| oven          | 0.192 | toaster      | 0.054 | sink           | 0.182 |
| refrigerator  | 0.341 | book         | 0.023 | clock          | 0.388 |
| vase          | 0.226 | scissors     | 0.158 | teddy bear     | 0.282 |
| hair drier    | 0.000 | toothbrush   | 0.056 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 06:18:53,073 - mmdet - INFO - current percent: 0.2
2021-11-07 06:18:53,073 - mmdet - INFO - update score thr (positive): (1.00-person) (0.98-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.98-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.90-parking meter) (0.97-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.95-backpack) (1.00-umbrella) (0.95-handbag) (0.98-tie) (0.98-suitcase) (1.00-frisbee) (0.98-skis) (0.96-snowboard) (1.00-sports ball) (0.99-kite) (0.99-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.98-wine glass) (0.99-cup) (0.89-fork) (0.95-knife) (0.93-spoon) (0.99-bowl) (0.99-banana) (0.98-apple) (0.96-sandwich) (0.97-orange) (0.99-broccoli) (0.95-carrot) (0.98-hot dog) (1.00-pizza) (1.00-donut) (0.97-cake) (0.95-chair) (0.98-couch) (0.99-potted plant) (1.00-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.93-remote) (1.00-keyboard) (0.99-cell phone) (0.99-microwave) (0.99-oven) (0.15-toaster) (1.00-sink) (1.00-refrigerator) (0.95-book) (1.00-clock) (0.99-vase) (0.91-scissors) (1.00-teddy bear) (0.05-hair drier) (0.89-toothbrush)
2021-11-07 06:18:53,073 - mmdet - INFO - update score thr (ignore): (0.15-person) (0.12-bicycle) (0.40-car) (0.30-motorcycle) (0.30-airplane) (0.31-bus) (0.25-train) (0.28-truck) (0.20-boat) (0.28-traffic light) (0.64-fire hydrant) (0.75-stop sign) (0.05-parking meter) (0.24-bench) (0.10-bird) (0.69-cat) (0.40-dog) (0.26-horse) (0.86-sheep) (0.25-cow) (0.49-elephant) (0.33-bear) (0.06-zebra) (0.14-giraffe) (0.31-backpack) (0.14-umbrella) (0.24-handbag) (0.18-tie) (0.22-suitcase) (0.46-frisbee) (0.14-skis) (0.24-snowboard) (0.48-sports ball) (0.26-kite) (0.45-baseball bat) (0.56-baseball glove) (0.28-skateboard) (0.28-surfboard) (0.59-tennis racket) (0.41-bottle) (0.08-wine glass) (0.28-cup) (0.06-fork) (0.28-knife) (0.20-spoon) (0.37-bowl) (0.24-banana) (0.35-apple) (0.21-sandwich) (0.37-orange) (0.63-broccoli) (0.46-carrot) (0.69-hot dog) (0.21-pizza) (0.86-donut) (0.21-cake) (0.12-chair) (0.30-couch) (0.37-potted plant) (0.48-bed) (0.22-dining table) (0.57-toilet) (0.63-tv) (0.31-laptop) (0.89-mouse) (0.15-remote) (0.71-keyboard) (0.57-cell phone) (0.49-microwave) (0.34-oven) (0.05-toaster) (0.53-sink) (0.53-refrigerator) (0.26-book) (0.82-clock) (0.27-vase) (0.16-scissors) (0.88-teddy bear) (0.05-hair drier) (0.11-toothbrush)
2021-11-07 06:18:53,327 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 06:18:53,327 - mmdet - INFO - Iter [38000/40000]	lr: 2.000e-02, eta: 1:03:39, time: 1.681, data_time: 0.026, memory: 26488, bbox_mAP: 0.2450, bbox_mAP_50: 0.4200, bbox_mAP_75: 0.2570, bbox_mAP_s: 0.1210, bbox_mAP_m: 0.2680, bbox_mAP_l: 0.3350, bbox_mAP_copypaste: 0.245 0.420 0.257 0.121 0.268 0.335, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0314, loss_cls: 0.0654, acc: 97.4526, loss_bbox: 0.1383, loss_rpn_cls_unlabeled: 0.0810, loss_rpn_bbox_unlabeled: 0.0877, loss_cls_unlabeled: 0.1542, acc_unlabeled: 92.1696, loss_bbox_unlabeled: 0.1717, losses_cls_ig_unlabeled: 0.1272, pseudo_num: 1.6264, pseudo_num_ig: 6.0470, pseudo_num_mining: 0.9167, pseudo_num(acc): 0.7865, pseudo_num ig(acc): 0.3927, loss: 0.8664
2021-11-07 06:20:16,390 - mmdet - INFO - Iter [38050/40000]	lr: 2.000e-02, eta: 1:02:19, time: 7.949, data_time: 6.315, memory: 26488, loss_rpn_cls: 0.0089, loss_rpn_bbox: 0.0296, loss_cls: 0.0626, acc: 97.5502, loss_bbox: 0.1344, loss_rpn_cls_unlabeled: 0.0787, loss_rpn_bbox_unlabeled: 0.0923, loss_cls_unlabeled: 0.1633, acc_unlabeled: 91.8352, loss_bbox_unlabeled: 0.1763, losses_cls_ig_unlabeled: 0.1393, pseudo_num: 1.6263, pseudo_num_ig: 6.0469, pseudo_num_mining: 0.9171, pseudo_num(acc): 0.7865, pseudo_num ig(acc): 0.3927, loss: 0.8852
2021-11-07 06:21:42,148 - mmdet - INFO - Iter [38100/40000]	lr: 2.000e-02, eta: 1:00:43, time: 1.715, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0298, loss_cls: 0.0663, acc: 97.4399, loss_bbox: 0.1388, loss_rpn_cls_unlabeled: 0.0744, loss_rpn_bbox_unlabeled: 0.0861, loss_cls_unlabeled: 0.1538, acc_unlabeled: 92.1195, loss_bbox_unlabeled: 0.1690, losses_cls_ig_unlabeled: 0.1355, pseudo_num: 1.6261, pseudo_num_ig: 6.0467, pseudo_num_mining: 0.9176, pseudo_num(acc): 0.7866, pseudo_num ig(acc): 0.3928, loss: 0.8632
2021-11-07 06:23:05,585 - mmdet - INFO - Iter [38150/40000]	lr: 2.000e-02, eta: 0:59:06, time: 1.669, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0293, loss_cls: 0.0659, acc: 97.4255, loss_bbox: 0.1364, loss_rpn_cls_unlabeled: 0.0818, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1523, acc_unlabeled: 92.1412, loss_bbox_unlabeled: 0.1688, losses_cls_ig_unlabeled: 0.1303, pseudo_num: 1.6259, pseudo_num_ig: 6.0465, pseudo_num_mining: 0.9180, pseudo_num(acc): 0.7867, pseudo_num ig(acc): 0.3928, loss: 0.8678
2021-11-07 06:24:30,155 - mmdet - INFO - Iter [38200/40000]	lr: 2.000e-02, eta: 0:57:30, time: 1.691, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0089, loss_rpn_bbox: 0.0306, loss_cls: 0.0630, acc: 97.5447, loss_bbox: 0.1352, loss_rpn_cls_unlabeled: 0.0798, loss_rpn_bbox_unlabeled: 0.0914, loss_cls_unlabeled: 0.1571, acc_unlabeled: 92.1145, loss_bbox_unlabeled: 0.1752, losses_cls_ig_unlabeled: 0.1327, pseudo_num: 1.6258, pseudo_num_ig: 6.0464, pseudo_num_mining: 0.9184, pseudo_num(acc): 0.7867, pseudo_num ig(acc): 0.3928, loss: 0.8739
2021-11-07 06:25:54,148 - mmdet - INFO - Iter [38250/40000]	lr: 2.000e-02, eta: 0:55:54, time: 1.680, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0087, loss_rpn_bbox: 0.0304, loss_cls: 0.0652, acc: 97.4703, loss_bbox: 0.1358, loss_rpn_cls_unlabeled: 0.0831, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1557, acc_unlabeled: 92.1364, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1350, pseudo_num: 1.6258, pseudo_num_ig: 6.0463, pseudo_num_mining: 0.9188, pseudo_num(acc): 0.7868, pseudo_num ig(acc): 0.3928, loss: 0.8768
2021-11-07 06:27:19,921 - mmdet - INFO - Iter [38300/40000]	lr: 2.000e-02, eta: 0:54:17, time: 1.714, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0314, loss_cls: 0.0681, acc: 97.3765, loss_bbox: 0.1406, loss_rpn_cls_unlabeled: 0.0749, loss_rpn_bbox_unlabeled: 0.0920, loss_cls_unlabeled: 0.1578, acc_unlabeled: 92.2003, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1292, pseudo_num: 1.6257, pseudo_num_ig: 6.0460, pseudo_num_mining: 0.9192, pseudo_num(acc): 0.7868, pseudo_num ig(acc): 0.3928, loss: 0.8776
2021-11-07 06:28:44,974 - mmdet - INFO - Iter [38350/40000]	lr: 2.000e-02, eta: 0:52:41, time: 1.702, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0101, loss_rpn_bbox: 0.0336, loss_cls: 0.0664, acc: 97.4353, loss_bbox: 0.1409, loss_rpn_cls_unlabeled: 0.0814, loss_rpn_bbox_unlabeled: 0.0871, loss_cls_unlabeled: 0.1496, acc_unlabeled: 92.1107, loss_bbox_unlabeled: 0.1687, losses_cls_ig_unlabeled: 0.1420, pseudo_num: 1.6255, pseudo_num_ig: 6.0458, pseudo_num_mining: 0.9196, pseudo_num(acc): 0.7869, pseudo_num ig(acc): 0.3928, loss: 0.8798
2021-11-07 06:30:08,654 - mmdet - INFO - Iter [38400/40000]	lr: 2.000e-02, eta: 0:51:05, time: 1.673, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0303, loss_cls: 0.0641, acc: 97.4752, loss_bbox: 0.1377, loss_rpn_cls_unlabeled: 0.0800, loss_rpn_bbox_unlabeled: 0.0887, loss_cls_unlabeled: 0.1569, acc_unlabeled: 92.1191, loss_bbox_unlabeled: 0.1761, losses_cls_ig_unlabeled: 0.1293, pseudo_num: 1.6255, pseudo_num_ig: 6.0456, pseudo_num_mining: 0.9199, pseudo_num(acc): 0.7869, pseudo_num ig(acc): 0.3929, loss: 0.8724
2021-11-07 06:31:32,674 - mmdet - INFO - Iter [38450/40000]	lr: 2.000e-02, eta: 0:49:28, time: 1.680, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0314, loss_cls: 0.0676, acc: 97.3566, loss_bbox: 0.1402, loss_rpn_cls_unlabeled: 0.0766, loss_rpn_bbox_unlabeled: 0.0890, loss_cls_unlabeled: 0.1588, acc_unlabeled: 92.1571, loss_bbox_unlabeled: 0.1757, losses_cls_ig_unlabeled: 0.1299, pseudo_num: 1.6254, pseudo_num_ig: 6.0454, pseudo_num_mining: 0.9204, pseudo_num(acc): 0.7870, pseudo_num ig(acc): 0.3929, loss: 0.8784
2021-11-07 06:32:55,076 - mmdet - INFO - pseudo pos: 0.98(74552.0-person) 0.87(2069.0-bicycle) 0.92(11065.0-car) 0.98(2208.0-motorcycle) 0.99(963.0-airplane) 0.99(1545.0-bus) 0.98(1531.0-train) 0.70(2623.0-truck) 0.68(3070.0-boat) 0.87(3955.0-traffic light) 0.99(507.0-fire hydrant) 0.94(577.0-stop sign) 0.79(451.0-parking meter) 0.67(2605.0-bench) 0.93(2129.0-bird) 0.97(1391.0-cat) 0.95(1345.0-dog) 0.97(1839.0-horse) 0.96(1489.0-sheep) 0.87(2861.0-cow) 0.99(1123.0-elephant) 0.99(392.0-bear) 0.99(1997.0-zebra) 0.99(1898.0-giraffe) 0.44(2394.0-backpack) 0.81(3110.0-umbrella) 0.45(3715.0-handbag) 0.88(1696.0-tie) 0.69(1970.0-suitcase) 0.92(718.0-frisbee) 0.62(1836.0-skis) 0.29(1048.0-snowboard) 0.95(1580.0-sports ball) 0.75(2616.0-kite) 0.83(875.0-baseball bat) 0.81(1137.0-baseball glove) 0.97(1419.0-skateboard) 0.87(1577.0-surfboard) 0.95(890.0-tennis racket) 0.83(6209.0-bottle) 0.94(1785.0-wine glass) 0.80(6692.0-cup) 0.49(997.0-fork) 0.33(2492.0-knife) 0.31(1905.0-spoon) 0.71(5733.0-bowl) 0.62(2751.0-banana) 0.36(2513.0-apple) 0.49(2085.0-sandwich) 0.49(1284.0-orange) 0.66(1772.0-broccoli) 0.41(2334.0-carrot) 0.04(6815.0-hot dog) 0.95(1613.0-pizza) 0.72(2291.0-donut) 0.55(1718.0-cake) 0.64(13150.0-chair) 0.80(1524.0-couch) 0.64(2635.0-potted plant) 0.92(1243.0-bed) 0.68(5577.0-dining table) 0.93(1057.0-toilet) 0.96(1681.0-tv) 0.97(1218.0-laptop) 0.96(383.0-mouse) 0.63(1324.0-remote) 0.72(761.0-keyboard) 0.68(2099.0-cell phone) 0.97(501.0-microwave) 0.79(1266.0-oven) 0.16(75.0-toaster) 0.76(1692.0-sink) 0.93(769.0-refrigerator) 0.24(6588.0-book) 0.95(1571.0-clock) 0.89(1553.0-vase) 0.56(521.0-scissors) 0.94(750.0-teddy bear) 0.00(0.0-hair drier) 0.24(756.0-toothbrush)
2021-11-07 06:32:55,077 - mmdet - INFO - pseudo ig: 0.56(278398.0-person) 0.30(8265.0-bicycle) 0.46(44432.0-car) 0.50(8661.0-motorcycle) 0.73(3379.0-airplane) 0.61(5761.0-bus) 0.54(4903.0-train) 0.30(10169.0-truck) 0.28(11952.0-boat) 0.30(15789.0-traffic light) 0.57(1993.0-fire hydrant) 0.51(2309.0-stop sign) 0.23(1497.0-parking meter) 0.18(9890.0-bench) 0.32(7680.0-bird) 0.70(4808.0-cat) 0.63(4666.0-dog) 0.53(7050.0-horse) 0.71(5464.0-sheep) 0.34(11596.0-cow) 0.80(4779.0-elephant) 0.61(1465.0-bear) 0.52(7626.0-zebra) 0.65(6223.0-giraffe) 0.18(9340.0-backpack) 0.33(12257.0-umbrella) 0.14(15098.0-handbag) 0.31(6838.0-tie) 0.21(7657.0-suitcase) 0.44(3020.0-frisbee) 0.28(7127.0-skis) 0.19(2451.0-snowboard) 0.35(6821.0-sports ball) 0.33(10220.0-kite) 0.26(3649.0-baseball bat) 0.28(4532.0-baseball glove) 0.46(5459.0-skateboard) 0.37(6166.0-surfboard) 0.70(3649.0-tennis racket) 0.33(26210.0-bottle) 0.38(7411.0-wine glass) 0.28(26773.0-cup) 0.24(3940.0-fork) 0.13(9942.0-knife) 0.10(8076.0-spoon) 0.27(22699.0-bowl) 0.21(10964.0-banana) 0.14(8847.0-apple) 0.25(5024.0-sandwich) 0.29(3591.0-orange) 0.33(7434.0-broccoli) 0.16(8983.0-carrot) 0.18(1397.0-hot dog) 0.47(6037.0-pizza) 0.27(8391.0-donut) 0.23(6576.0-cake) 0.20(51751.0-chair) 0.34(5840.0-couch) 0.29(10466.0-potted plant) 0.44(4431.0-bed) 0.30(17242.0-dining table) 0.59(4541.0-toilet) 0.50(6219.0-tv) 0.55(4673.0-laptop) 0.60(1477.0-mouse) 0.21(5481.0-remote) 0.48(2992.0-keyboard) 0.22(8005.0-cell phone) 0.37(2010.0-microwave) 0.24(4672.0-oven) 0.14(191.0-toaster) 0.37(6232.0-sink) 0.34(2759.0-refrigerator) 0.11(26153.0-book) 0.58(5908.0-clock) 0.35(6113.0-vase) 0.21(1902.0-scissors) 0.64(3013.0-teddy bear) 0.00(0.0-hair drier) 0.06(2659.0-toothbrush)
2021-11-07 06:32:55,077 - mmdet - INFO - pseudo gt: 335411.0 9299.0 56351.0 11676.0 6699.0 8024.0 5898.0 12894.0 13657.0 16298.0 2422.0 2661.0 1599.0 12991.0 13335.0 6145.0 7086.0 8855.0 12334.0 10608.0 7380.0 1706.0 7040.0 6841.0 11660.0 14403.0 16394.0 8347.0 7969.0 3556.0 8600.0 3462.0 8290.0 11303.0 4215.0 4713.0 7310.0 7655.0 6195.0 31480.0 10304.0 27313.0 7079.0 10132.0 7932.0 18527.0 11837.0 7636.0 5468.0 8174.0 9113.0 10469.0 3780.0 7607.0 8556.0 8145.0 49005.0 7419.0 11256.0 5449.0 20424.0 5430.0 7635.0 6587.0 3021.0 7501.0 3674.0 8516.0 2055.0 4221.0 303.0 7282.0 3382.0 31648.0 8091.0 8437.0 1970.0 6245.0 258.0 2548.0
2021-11-07 06:32:55,078 - mmdet - INFO - pseudo mining: 64926.0 259.0 8940.0 923.0 935.0 1333.0 861.0 394.0 663.0 2076.0 770.0 1462.0 26.0 88.0 374.0 1248.0 664.0 1272.0 2668.0 1083.0 2358.0 466.0 2070.0 2357.0 136.0 1265.0 110.0 421.0 102.0 811.0 248.0 37.0 2091.0 2572.0 552.0 923.0 825.0 402.0 1926.0 2706.0 452.0 2547.0 26.0 126.0 68.0 2405.0 298.0 335.0 134.0 927.0 1048.0 476.0 4.0 835.0 1595.0 208.0 347.0 219.0 935.0 194.0 522.0 1993.0 1921.0 1022.0 691.0 158.0 942.0 657.0 310.0 203.0 3.0 1298.0 188.0 418.0 3615.0 260.0 11.0 1003.0 0.0 3.0
2021-11-07 06:32:56,637 - mmdet - INFO - Iter [38500/40000]	lr: 2.000e-02, eta: 0:47:52, time: 1.680, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0308, loss_cls: 0.0632, acc: 97.5330, loss_bbox: 0.1385, loss_rpn_cls_unlabeled: 0.0756, loss_rpn_bbox_unlabeled: 0.0898, loss_cls_unlabeled: 0.1509, acc_unlabeled: 92.1764, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1302, pseudo_num: 1.6253, pseudo_num_ig: 6.0451, pseudo_num_mining: 0.9207, pseudo_num(acc): 0.7870, pseudo_num ig(acc): 0.3929, loss: 0.8594
2021-11-07 06:34:21,955 - mmdet - INFO - Iter [38550/40000]	lr: 2.000e-02, eta: 0:46:16, time: 1.701, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0084, loss_rpn_bbox: 0.0305, loss_cls: 0.0618, acc: 97.5831, loss_bbox: 0.1311, loss_rpn_cls_unlabeled: 0.0782, loss_rpn_bbox_unlabeled: 0.0893, loss_cls_unlabeled: 0.1589, acc_unlabeled: 92.1150, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1328, pseudo_num: 1.6251, pseudo_num_ig: 6.0449, pseudo_num_mining: 0.9211, pseudo_num(acc): 0.7871, pseudo_num ig(acc): 0.3929, loss: 0.8652
2021-11-07 06:35:45,515 - mmdet - INFO - Iter [38600/40000]	lr: 2.000e-02, eta: 0:44:40, time: 1.676, data_time: 0.033, memory: 26488, loss_rpn_cls: 0.0086, loss_rpn_bbox: 0.0290, loss_cls: 0.0621, acc: 97.5884, loss_bbox: 0.1327, loss_rpn_cls_unlabeled: 0.0804, loss_rpn_bbox_unlabeled: 0.0911, loss_cls_unlabeled: 0.1552, acc_unlabeled: 91.9690, loss_bbox_unlabeled: 0.1697, losses_cls_ig_unlabeled: 0.1376, pseudo_num: 1.6250, pseudo_num_ig: 6.0447, pseudo_num_mining: 0.9215, pseudo_num(acc): 0.7871, pseudo_num ig(acc): 0.3930, loss: 0.8664
2021-11-07 06:37:10,256 - mmdet - INFO - Iter [38650/40000]	lr: 2.000e-02, eta: 0:43:04, time: 1.693, data_time: 0.035, memory: 26488, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0321, loss_cls: 0.0651, acc: 97.4589, loss_bbox: 0.1348, loss_rpn_cls_unlabeled: 0.0769, loss_rpn_bbox_unlabeled: 0.0888, loss_cls_unlabeled: 0.1520, acc_unlabeled: 92.3307, loss_bbox_unlabeled: 0.1690, losses_cls_ig_unlabeled: 0.1307, pseudo_num: 1.6250, pseudo_num_ig: 6.0446, pseudo_num_mining: 0.9219, pseudo_num(acc): 0.7872, pseudo_num ig(acc): 0.3930, loss: 0.8587
2021-11-07 06:38:34,401 - mmdet - INFO - Iter [38700/40000]	lr: 2.000e-02, eta: 0:41:28, time: 1.683, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0301, loss_cls: 0.0640, acc: 97.4912, loss_bbox: 0.1351, loss_rpn_cls_unlabeled: 0.0738, loss_rpn_bbox_unlabeled: 0.0868, loss_cls_unlabeled: 0.1512, acc_unlabeled: 92.3433, loss_bbox_unlabeled: 0.1707, losses_cls_ig_unlabeled: 0.1270, pseudo_num: 1.6249, pseudo_num_ig: 6.0441, pseudo_num_mining: 0.9222, pseudo_num(acc): 0.7873, pseudo_num ig(acc): 0.3930, loss: 0.8478
2021-11-07 06:39:56,987 - mmdet - INFO - Iter [38750/40000]	lr: 2.000e-02, eta: 0:39:52, time: 1.650, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0088, loss_rpn_bbox: 0.0307, loss_cls: 0.0656, acc: 97.4474, loss_bbox: 0.1410, loss_rpn_cls_unlabeled: 0.0744, loss_rpn_bbox_unlabeled: 0.0853, loss_cls_unlabeled: 0.1542, acc_unlabeled: 92.3929, loss_bbox_unlabeled: 0.1674, losses_cls_ig_unlabeled: 0.1283, pseudo_num: 1.6247, pseudo_num_ig: 6.0436, pseudo_num_mining: 0.9225, pseudo_num(acc): 0.7873, pseudo_num ig(acc): 0.3930, loss: 0.8556
2021-11-07 06:41:21,491 - mmdet - INFO - Iter [38800/40000]	lr: 2.000e-02, eta: 0:38:15, time: 1.694, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0085, loss_rpn_bbox: 0.0308, loss_cls: 0.0620, acc: 97.5548, loss_bbox: 0.1338, loss_rpn_cls_unlabeled: 0.0763, loss_rpn_bbox_unlabeled: 0.0866, loss_cls_unlabeled: 0.1482, acc_unlabeled: 92.2638, loss_bbox_unlabeled: 0.1636, losses_cls_ig_unlabeled: 0.1319, pseudo_num: 1.6244, pseudo_num_ig: 6.0429, pseudo_num_mining: 0.9227, pseudo_num(acc): 0.7874, pseudo_num ig(acc): 0.3930, loss: 0.8418
2021-11-07 06:42:46,039 - mmdet - INFO - Iter [38850/40000]	lr: 2.000e-02, eta: 0:36:39, time: 1.688, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0293, loss_cls: 0.0660, acc: 97.4403, loss_bbox: 0.1364, loss_rpn_cls_unlabeled: 0.0779, loss_rpn_bbox_unlabeled: 0.0867, loss_cls_unlabeled: 0.1560, acc_unlabeled: 92.3588, loss_bbox_unlabeled: 0.1743, losses_cls_ig_unlabeled: 0.1266, pseudo_num: 1.6243, pseudo_num_ig: 6.0426, pseudo_num_mining: 0.9230, pseudo_num(acc): 0.7874, pseudo_num ig(acc): 0.3931, loss: 0.8629
2021-11-07 06:44:10,267 - mmdet - INFO - Iter [38900/40000]	lr: 2.000e-02, eta: 0:35:04, time: 1.684, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0318, loss_cls: 0.0666, acc: 97.4072, loss_bbox: 0.1433, loss_rpn_cls_unlabeled: 0.0786, loss_rpn_bbox_unlabeled: 0.0888, loss_cls_unlabeled: 0.1541, acc_unlabeled: 92.1025, loss_bbox_unlabeled: 0.1756, losses_cls_ig_unlabeled: 0.1296, pseudo_num: 1.6242, pseudo_num_ig: 6.0422, pseudo_num_mining: 0.9234, pseudo_num(acc): 0.7875, pseudo_num ig(acc): 0.3931, loss: 0.8782
2021-11-07 06:45:36,626 - mmdet - INFO - Iter [38950/40000]	lr: 2.000e-02, eta: 0:33:28, time: 1.729, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0090, loss_rpn_bbox: 0.0299, loss_cls: 0.0623, acc: 97.5568, loss_bbox: 0.1338, loss_rpn_cls_unlabeled: 0.0765, loss_rpn_bbox_unlabeled: 0.0880, loss_cls_unlabeled: 0.1520, acc_unlabeled: 92.2357, loss_bbox_unlabeled: 0.1702, losses_cls_ig_unlabeled: 0.1266, pseudo_num: 1.6241, pseudo_num_ig: 6.0421, pseudo_num_mining: 0.9238, pseudo_num(acc): 0.7875, pseudo_num ig(acc): 0.3931, loss: 0.8484
2021-11-07 06:46:59,473 - mmdet - INFO - pseudo pos: 0.98(75552.0-person) 0.87(2098.0-bicycle) 0.92(11196.0-car) 0.98(2220.0-motorcycle) 0.99(981.0-airplane) 0.99(1553.0-bus) 0.98(1546.0-train) 0.70(2663.0-truck) 0.68(3101.0-boat) 0.87(4017.0-traffic light) 0.98(523.0-fire hydrant) 0.94(590.0-stop sign) 0.79(466.0-parking meter) 0.67(2624.0-bench) 0.93(2163.0-bird) 0.97(1412.0-cat) 0.96(1364.0-dog) 0.97(1859.0-horse) 0.96(1499.0-sheep) 0.87(2907.0-cow) 0.99(1133.0-elephant) 0.99(397.0-bear) 0.99(2031.0-zebra) 0.99(1924.0-giraffe) 0.44(2427.0-backpack) 0.81(3172.0-umbrella) 0.45(3754.0-handbag) 0.88(1728.0-tie) 0.69(1986.0-suitcase) 0.92(726.0-frisbee) 0.62(1866.0-skis) 0.29(1053.0-snowboard) 0.95(1601.0-sports ball) 0.75(2655.0-kite) 0.82(896.0-baseball bat) 0.81(1158.0-baseball glove) 0.97(1428.0-skateboard) 0.87(1595.0-surfboard) 0.95(895.0-tennis racket) 0.83(6273.0-bottle) 0.94(1825.0-wine glass) 0.80(6804.0-cup) 0.49(1014.0-fork) 0.33(2519.0-knife) 0.31(1924.0-spoon) 0.71(5823.0-bowl) 0.62(2788.0-banana) 0.36(2524.0-apple) 0.49(2099.0-sandwich) 0.49(1295.0-orange) 0.66(1787.0-broccoli) 0.41(2352.0-carrot) 0.04(6815.0-hot dog) 0.95(1633.0-pizza) 0.72(2299.0-donut) 0.55(1744.0-cake) 0.64(13315.0-chair) 0.80(1550.0-couch) 0.64(2673.0-potted plant) 0.92(1258.0-bed) 0.68(5637.0-dining table) 0.93(1078.0-toilet) 0.96(1692.0-tv) 0.97(1230.0-laptop) 0.96(383.0-mouse) 0.63(1338.0-remote) 0.72(764.0-keyboard) 0.68(2124.0-cell phone) 0.97(507.0-microwave) 0.79(1280.0-oven) 0.15(88.0-toaster) 0.76(1712.0-sink) 0.93(780.0-refrigerator) 0.24(6658.0-book) 0.95(1584.0-clock) 0.89(1572.0-vase) 0.56(524.0-scissors) 0.94(761.0-teddy bear) 0.00(0.0-hair drier) 0.24(763.0-toothbrush)
2021-11-07 06:46:59,474 - mmdet - INFO - pseudo ig: 0.56(281880.0-person) 0.30(8339.0-bicycle) 0.46(44963.0-car) 0.50(8745.0-motorcycle) 0.73(3444.0-airplane) 0.61(5837.0-bus) 0.54(4976.0-train) 0.30(10319.0-truck) 0.28(12124.0-boat) 0.30(15986.0-traffic light) 0.57(2020.0-fire hydrant) 0.51(2333.0-stop sign) 0.23(1527.0-parking meter) 0.18(10012.0-bench) 0.32(7790.0-bird) 0.70(4852.0-cat) 0.63(4725.0-dog) 0.53(7119.0-horse) 0.71(5505.0-sheep) 0.34(11805.0-cow) 0.80(4824.0-elephant) 0.61(1487.0-bear) 0.52(7723.0-zebra) 0.65(6295.0-giraffe) 0.18(9476.0-backpack) 0.33(12443.0-umbrella) 0.14(15240.0-handbag) 0.31(6950.0-tie) 0.21(7764.0-suitcase) 0.44(3059.0-frisbee) 0.28(7256.0-skis) 0.19(2468.0-snowboard) 0.34(6901.0-sports ball) 0.33(10456.0-kite) 0.26(3694.0-baseball bat) 0.28(4578.0-baseball glove) 0.46(5557.0-skateboard) 0.38(6243.0-surfboard) 0.70(3725.0-tennis racket) 0.33(26552.0-bottle) 0.38(7519.0-wine glass) 0.28(27112.0-cup) 0.24(3993.0-fork) 0.13(10050.0-knife) 0.10(8152.0-spoon) 0.27(22972.0-bowl) 0.22(11068.0-banana) 0.14(8960.0-apple) 0.25(5090.0-sandwich) 0.29(3636.0-orange) 0.33(7472.0-broccoli) 0.16(9049.0-carrot) 0.18(1401.0-hot dog) 0.47(6147.0-pizza) 0.27(8450.0-donut) 0.23(6648.0-cake) 0.20(52384.0-chair) 0.34(5897.0-couch) 0.29(10595.0-potted plant) 0.44(4469.0-bed) 0.30(17460.0-dining table) 0.59(4591.0-toilet) 0.50(6274.0-tv) 0.55(4708.0-laptop) 0.60(1489.0-mouse) 0.21(5566.0-remote) 0.48(3018.0-keyboard) 0.22(8091.0-cell phone) 0.37(2031.0-microwave) 0.24(4728.0-oven) 0.13(207.0-toaster) 0.37(6296.0-sink) 0.34(2789.0-refrigerator) 0.11(26488.0-book) 0.58(5989.0-clock) 0.35(6186.0-vase) 0.21(1917.0-scissors) 0.64(3049.0-teddy bear) 0.00(0.0-hair drier) 0.06(2684.0-toothbrush)
2021-11-07 06:46:59,475 - mmdet - INFO - pseudo gt: 339816.0 9414.0 57070.0 11810.0 6802.0 8113.0 5981.0 13079.0 13852.0 16520.0 2459.0 2704.0 1628.0 13160.0 13544.0 6224.0 7182.0 8963.0 12444.0 10789.0 7434.0 1729.0 7140.0 6912.0 11827.0 14636.0 16588.0 8463.0 8070.0 3602.0 8723.0 3513.0 8414.0 11487.0 4292.0 4774.0 7421.0 7726.0 6299.0 31893.0 10496.0 27725.0 7189.0 10257.0 8045.0 18805.0 12024.0 7756.0 5534.0 8303.0 9183.0 10613.0 3807.0 7717.0 8614.0 8288.0 49733.0 7508.0 11435.0 5515.0 20695.0 5497.0 7713.0 6658.0 3058.0 7589.0 3716.0 8616.0 2083.0 4267.0 306.0 7365.0 3434.0 32030.0 8204.0 8595.0 1984.0 6331.0 267.0 2581.0
2021-11-07 06:46:59,475 - mmdet - INFO - pseudo mining: 65943.0 261.0 9084.0 947.0 949.0 1352.0 872.0 402.0 677.0 2115.0 780.0 1479.0 26.0 91.0 385.0 1263.0 675.0 1289.0 2698.0 1124.0 2375.0 474.0 2100.0 2388.0 142.0 1310.0 111.0 434.0 106.0 825.0 250.0 37.0 2123.0 2632.0 563.0 938.0 858.0 410.0 1965.0 2768.0 461.0 2598.0 26.0 128.0 68.0 2447.0 311.0 348.0 137.0 930.0 1058.0 478.0 4.0 852.0 1626.0 214.0 351.0 220.0 960.0 199.0 533.0 2018.0 1953.0 1035.0 701.0 160.0 948.0 676.0 318.0 211.0 3.0 1320.0 195.0 426.0 3685.0 264.0 11.0 1020.0 0.0 3.0
2021-11-07 06:48:25,004 - mmdet - INFO - current percent: 0.2
2021-11-07 06:48:25,005 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.99-truck) (0.99-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.96-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.95-backpack) (1.00-umbrella) (0.90-handbag) (0.99-tie) (0.97-suitcase) (1.00-frisbee) (0.98-skis) (0.90-snowboard) (0.99-sports ball) (0.99-kite) (1.00-baseball bat) (0.99-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.98-fork) (0.95-knife) (0.90-spoon) (0.99-bowl) (0.98-banana) (0.95-apple) (0.98-sandwich) (0.99-orange) (0.98-broccoli) (0.95-carrot) (0.88-hot dog) (1.00-pizza) (0.99-donut) (0.98-cake) (0.94-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.94-remote) (1.00-keyboard) (0.99-cell phone) (0.99-microwave) (0.99-oven) (0.99-toaster) (1.00-sink) (1.00-refrigerator) (0.96-book) (1.00-clock) (0.97-vase) (0.89-scissors) (1.00-teddy bear) (0.05-hair drier) (0.71-toothbrush)
2021-11-07 06:48:25,005 - mmdet - INFO - update score thr (ignore): (0.13-person) (0.11-bicycle) (0.32-car) (0.14-motorcycle) (0.61-airplane) (0.26-bus) (0.23-train) (0.37-truck) (0.33-boat) (0.25-traffic light) (0.87-fire hydrant) (0.65-stop sign) (0.07-parking meter) (0.16-bench) (0.11-bird) (0.67-cat) (0.44-dog) (0.13-horse) (0.63-sheep) (0.31-cow) (0.53-elephant) (0.49-bear) (0.10-zebra) (0.22-giraffe) (0.33-backpack) (0.16-umbrella) (0.15-handbag) (0.20-tie) (0.24-suitcase) (0.64-frisbee) (0.14-skis) (0.18-snowboard) (0.35-sports ball) (0.61-kite) (0.52-baseball bat) (0.51-baseball glove) (0.19-skateboard) (0.28-surfboard) (0.61-tennis racket) (0.38-bottle) (0.08-wine glass) (0.28-cup) (0.08-fork) (0.32-knife) (0.19-spoon) (0.46-bowl) (0.14-banana) (0.25-apple) (0.31-sandwich) (0.40-orange) (0.34-broccoli) (0.43-carrot) (0.21-hot dog) (0.29-pizza) (0.64-donut) (0.20-cake) (0.12-chair) (0.30-couch) (0.28-potted plant) (0.35-bed) (0.19-dining table) (0.53-toilet) (0.64-tv) (0.37-laptop) (0.63-mouse) (0.17-remote) (0.66-keyboard) (0.61-cell phone) (0.51-microwave) (0.31-oven) (0.84-toaster) (0.42-sink) (0.47-refrigerator) (0.26-book) (0.64-clock) (0.18-vase) (0.14-scissors) (0.81-teddy bear) (0.05-hair drier) (0.08-toothbrush)
2021-11-07 06:48:25,196 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 06:48:25,197 - mmdet - INFO - Iter [39000/40000]	lr: 2.000e-02, eta: 0:31:52, time: 1.686, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0084, loss_rpn_bbox: 0.0303, loss_cls: 0.0639, acc: 97.5303, loss_bbox: 0.1353, loss_rpn_cls_unlabeled: 0.0756, loss_rpn_bbox_unlabeled: 0.0845, loss_cls_unlabeled: 0.1561, acc_unlabeled: 92.2784, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.1285, pseudo_num: 1.6239, pseudo_num_ig: 6.0416, pseudo_num_mining: 0.9242, pseudo_num(acc): 0.7876, pseudo_num ig(acc): 0.3931, loss: 0.8545
2021-11-07 06:49:48,524 - mmdet - INFO - Iter [39050/40000]	lr: 2.000e-02, eta: 0:30:18, time: 3.351, data_time: 1.711, memory: 26488, loss_rpn_cls: 0.0088, loss_rpn_bbox: 0.0309, loss_cls: 0.0650, acc: 97.4720, loss_bbox: 0.1350, loss_rpn_cls_unlabeled: 0.0762, loss_rpn_bbox_unlabeled: 0.0877, loss_cls_unlabeled: 0.1561, acc_unlabeled: 92.1079, loss_bbox_unlabeled: 0.1712, losses_cls_ig_unlabeled: 0.1283, pseudo_num: 1.6238, pseudo_num_ig: 6.0413, pseudo_num_mining: 0.9245, pseudo_num(acc): 0.7876, pseudo_num ig(acc): 0.3932, loss: 0.8592
2021-11-07 06:51:12,713 - mmdet - INFO - Iter [39100/40000]	lr: 2.000e-02, eta: 0:28:42, time: 1.683, data_time: 0.041, memory: 26488, loss_rpn_cls: 0.0096, loss_rpn_bbox: 0.0305, loss_cls: 0.0649, acc: 97.4749, loss_bbox: 0.1364, loss_rpn_cls_unlabeled: 0.0792, loss_rpn_bbox_unlabeled: 0.0904, loss_cls_unlabeled: 0.1530, acc_unlabeled: 92.0006, loss_bbox_unlabeled: 0.1734, losses_cls_ig_unlabeled: 0.1299, pseudo_num: 1.6237, pseudo_num_ig: 6.0411, pseudo_num_mining: 0.9249, pseudo_num(acc): 0.7876, pseudo_num ig(acc): 0.3932, loss: 0.8673
2021-11-07 06:52:36,474 - mmdet - INFO - Iter [39150/40000]	lr: 2.000e-02, eta: 0:27:06, time: 1.678, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0292, loss_cls: 0.0610, acc: 97.6312, loss_bbox: 0.1312, loss_rpn_cls_unlabeled: 0.0749, loss_rpn_bbox_unlabeled: 0.0927, loss_cls_unlabeled: 0.1451, acc_unlabeled: 92.1133, loss_bbox_unlabeled: 0.1686, losses_cls_ig_unlabeled: 0.1254, pseudo_num: 1.6235, pseudo_num_ig: 6.0410, pseudo_num_mining: 0.9252, pseudo_num(acc): 0.7877, pseudo_num ig(acc): 0.3932, loss: 0.8375
2021-11-07 06:54:01,941 - mmdet - INFO - Iter [39200/40000]	lr: 2.000e-02, eta: 0:25:30, time: 1.707, data_time: 0.025, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0293, loss_cls: 0.0653, acc: 97.4662, loss_bbox: 0.1373, loss_rpn_cls_unlabeled: 0.0762, loss_rpn_bbox_unlabeled: 0.0885, loss_cls_unlabeled: 0.1559, acc_unlabeled: 91.9208, loss_bbox_unlabeled: 0.1733, losses_cls_ig_unlabeled: 0.1369, pseudo_num: 1.6233, pseudo_num_ig: 6.0408, pseudo_num_mining: 0.9255, pseudo_num(acc): 0.7877, pseudo_num ig(acc): 0.3932, loss: 0.8720
2021-11-07 06:55:28,143 - mmdet - INFO - Iter [39250/40000]	lr: 2.000e-02, eta: 0:23:54, time: 1.725, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0305, loss_cls: 0.0641, acc: 97.5024, loss_bbox: 0.1373, loss_rpn_cls_unlabeled: 0.0737, loss_rpn_bbox_unlabeled: 0.0884, loss_cls_unlabeled: 0.1559, acc_unlabeled: 92.2413, loss_bbox_unlabeled: 0.1705, losses_cls_ig_unlabeled: 0.1270, pseudo_num: 1.6232, pseudo_num_ig: 6.0406, pseudo_num_mining: 0.9259, pseudo_num(acc): 0.7878, pseudo_num ig(acc): 0.3933, loss: 0.8567
2021-11-07 06:56:52,011 - mmdet - INFO - Iter [39300/40000]	lr: 2.000e-02, eta: 0:22:18, time: 1.679, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0086, loss_rpn_bbox: 0.0302, loss_cls: 0.0626, acc: 97.5654, loss_bbox: 0.1338, loss_rpn_cls_unlabeled: 0.0732, loss_rpn_bbox_unlabeled: 0.0881, loss_cls_unlabeled: 0.1509, acc_unlabeled: 92.0020, loss_bbox_unlabeled: 0.1689, losses_cls_ig_unlabeled: 0.1338, pseudo_num: 1.6230, pseudo_num_ig: 6.0403, pseudo_num_mining: 0.9263, pseudo_num(acc): 0.7878, pseudo_num ig(acc): 0.3933, loss: 0.8500
2021-11-07 06:58:16,560 - mmdet - INFO - Iter [39350/40000]	lr: 2.000e-02, eta: 0:20:43, time: 1.690, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0304, loss_cls: 0.0644, acc: 97.5060, loss_bbox: 0.1361, loss_rpn_cls_unlabeled: 0.0800, loss_rpn_bbox_unlabeled: 0.0897, loss_cls_unlabeled: 0.1587, acc_unlabeled: 91.8944, loss_bbox_unlabeled: 0.1763, losses_cls_ig_unlabeled: 0.1317, pseudo_num: 1.6228, pseudo_num_ig: 6.0402, pseudo_num_mining: 0.9267, pseudo_num(acc): 0.7879, pseudo_num ig(acc): 0.3933, loss: 0.8769
2021-11-07 06:59:40,302 - mmdet - INFO - Iter [39400/40000]	lr: 2.000e-02, eta: 0:19:07, time: 1.674, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0305, loss_cls: 0.0653, acc: 97.4520, loss_bbox: 0.1396, loss_rpn_cls_unlabeled: 0.0782, loss_rpn_bbox_unlabeled: 0.0917, loss_cls_unlabeled: 0.1494, acc_unlabeled: 92.0649, loss_bbox_unlabeled: 0.1674, losses_cls_ig_unlabeled: 0.1320, pseudo_num: 1.6226, pseudo_num_ig: 6.0403, pseudo_num_mining: 0.9271, pseudo_num(acc): 0.7879, pseudo_num ig(acc): 0.3933, loss: 0.8631
2021-11-07 07:01:06,323 - mmdet - INFO - Iter [39450/40000]	lr: 2.000e-02, eta: 0:17:31, time: 1.718, data_time: 0.032, memory: 26488, loss_rpn_cls: 0.0100, loss_rpn_bbox: 0.0314, loss_cls: 0.0674, acc: 97.3948, loss_bbox: 0.1391, loss_rpn_cls_unlabeled: 0.0782, loss_rpn_bbox_unlabeled: 0.0884, loss_cls_unlabeled: 0.1559, acc_unlabeled: 92.0186, loss_bbox_unlabeled: 0.1673, losses_cls_ig_unlabeled: 0.1328, pseudo_num: 1.6224, pseudo_num_ig: 6.0403, pseudo_num_mining: 0.9275, pseudo_num(acc): 0.7879, pseudo_num ig(acc): 0.3933, loss: 0.8704
2021-11-07 07:02:29,750 - mmdet - INFO - pseudo pos: 0.98(76480.0-person) 0.87(2125.0-bicycle) 0.92(11334.0-car) 0.98(2244.0-motorcycle) 0.99(997.0-airplane) 0.99(1564.0-bus) 0.98(1563.0-train) 0.70(2692.0-truck) 0.68(3127.0-boat) 0.87(4055.0-traffic light) 0.98(531.0-fire hydrant) 0.94(596.0-stop sign) 0.78(481.0-parking meter) 0.68(2660.0-bench) 0.93(2186.0-bird) 0.97(1427.0-cat) 0.96(1383.0-dog) 0.97(1885.0-horse) 0.96(1518.0-sheep) 0.87(2962.0-cow) 0.99(1150.0-elephant) 0.99(403.0-bear) 0.99(2060.0-zebra) 0.99(1948.0-giraffe) 0.44(2461.0-backpack) 0.81(3198.0-umbrella) 0.45(3799.0-handbag) 0.88(1749.0-tie) 0.69(1998.0-suitcase) 0.92(736.0-frisbee) 0.62(1896.0-skis) 0.29(1057.0-snowboard) 0.95(1622.0-sports ball) 0.75(2685.0-kite) 0.82(908.0-baseball bat) 0.81(1172.0-baseball glove) 0.97(1448.0-skateboard) 0.87(1607.0-surfboard) 0.95(900.0-tennis racket) 0.83(6334.0-bottle) 0.94(1841.0-wine glass) 0.80(6880.0-cup) 0.49(1028.0-fork) 0.34(2553.0-knife) 0.31(1952.0-spoon) 0.71(5880.0-bowl) 0.62(2804.0-banana) 0.36(2544.0-apple) 0.49(2108.0-sandwich) 0.50(1311.0-orange) 0.66(1818.0-broccoli) 0.41(2384.0-carrot) 0.04(6820.0-hot dog) 0.95(1651.0-pizza) 0.72(2350.0-donut) 0.55(1768.0-cake) 0.64(13490.0-chair) 0.80(1575.0-couch) 0.64(2699.0-potted plant) 0.92(1275.0-bed) 0.68(5701.0-dining table) 0.93(1083.0-toilet) 0.96(1705.0-tv) 0.97(1247.0-laptop) 0.96(385.0-mouse) 0.63(1357.0-remote) 0.72(777.0-keyboard) 0.68(2144.0-cell phone) 0.97(512.0-microwave) 0.79(1291.0-oven) 0.15(88.0-toaster) 0.76(1739.0-sink) 0.93(789.0-refrigerator) 0.24(6729.0-book) 0.95(1608.0-clock) 0.89(1592.0-vase) 0.56(527.0-scissors) 0.94(768.0-teddy bear) 0.00(0.0-hair drier) 0.24(778.0-toothbrush)
2021-11-07 07:02:29,750 - mmdet - INFO - pseudo ig: 0.56(285366.0-person) 0.30(8451.0-bicycle) 0.46(45550.0-car) 0.50(8854.0-motorcycle) 0.73(3513.0-airplane) 0.61(5926.0-bus) 0.54(5047.0-train) 0.30(10432.0-truck) 0.28(12239.0-boat) 0.30(16163.0-traffic light) 0.57(2048.0-fire hydrant) 0.51(2370.0-stop sign) 0.22(1565.0-parking meter) 0.18(10156.0-bench) 0.32(7908.0-bird) 0.70(4906.0-cat) 0.63(4789.0-dog) 0.53(7211.0-horse) 0.71(5566.0-sheep) 0.35(11959.0-cow) 0.80(4898.0-elephant) 0.61(1512.0-bear) 0.52(7828.0-zebra) 0.65(6364.0-giraffe) 0.18(9594.0-backpack) 0.33(12558.0-umbrella) 0.14(15432.0-handbag) 0.31(7032.0-tie) 0.21(7844.0-suitcase) 0.44(3092.0-frisbee) 0.28(7377.0-skis) 0.19(2501.0-snowboard) 0.34(6969.0-sports ball) 0.33(10591.0-kite) 0.26(3732.0-baseball bat) 0.28(4642.0-baseball glove) 0.46(5650.0-skateboard) 0.38(6327.0-surfboard) 0.70(3768.0-tennis racket) 0.33(26841.0-bottle) 0.38(7628.0-wine glass) 0.28(27418.0-cup) 0.24(4051.0-fork) 0.13(10182.0-knife) 0.10(8231.0-spoon) 0.27(23250.0-bowl) 0.22(11161.0-banana) 0.14(9074.0-apple) 0.25(5137.0-sandwich) 0.29(3694.0-orange) 0.33(7586.0-broccoli) 0.16(9161.0-carrot) 0.18(1413.0-hot dog) 0.47(6245.0-pizza) 0.28(8600.0-donut) 0.23(6751.0-cake) 0.20(53023.0-chair) 0.34(5976.0-couch) 0.29(10747.0-potted plant) 0.44(4525.0-bed) 0.30(17706.0-dining table) 0.59(4649.0-toilet) 0.50(6356.0-tv) 0.56(4778.0-laptop) 0.60(1503.0-mouse) 0.21(5636.0-remote) 0.48(3052.0-keyboard) 0.22(8214.0-cell phone) 0.37(2056.0-microwave) 0.24(4790.0-oven) 0.13(207.0-toaster) 0.38(6379.0-sink) 0.34(2827.0-refrigerator) 0.11(26808.0-book) 0.58(6065.0-clock) 0.35(6262.0-vase) 0.21(1937.0-scissors) 0.64(3081.0-teddy bear) 0.00(0.0-hair drier) 0.06(2721.0-toothbrush)
2021-11-07 07:02:29,750 - mmdet - INFO - pseudo gt: 344001.0 9547.0 57797.0 11973.0 6905.0 8204.0 6058.0 13240.0 14047.0 16683.0 2495.0 2737.0 1656.0 13317.0 13730.0 6303.0 7275.0 9041.0 12620.0 10975.0 7525.0 1760.0 7258.0 6999.0 11946.0 14789.0 16798.0 8578.0 8184.0 3643.0 8828.0 3562.0 8496.0 11624.0 4338.0 4831.0 7529.0 7836.0 6375.0 32258.0 10615.0 28086.0 7285.0 10375.0 8145.0 19047.0 12169.0 7850.0 5604.0 8428.0 9282.0 10737.0 3847.0 7815.0 8742.0 8433.0 50323.0 7617.0 11577.0 5582.0 20996.0 5559.0 7816.0 6741.0 3093.0 7703.0 3763.0 8718.0 2103.0 4314.0 311.0 7466.0 3490.0 32375.0 8322.0 8684.0 2011.0 6414.0 270.0 2602.0
2021-11-07 07:02:29,751 - mmdet - INFO - pseudo mining: 66939.0 268.0 9244.0 960.0 982.0 1378.0 896.0 415.0 691.0 2136.0 800.0 1505.0 28.0 93.0 395.0 1284.0 688.0 1308.0 2734.0 1147.0 2419.0 485.0 2134.0 2431.0 148.0 1330.0 113.0 442.0 108.0 840.0 258.0 37.0 2146.0 2674.0 574.0 951.0 869.0 421.0 1995.0 2835.0 473.0 2661.0 28.0 132.0 68.0 2498.0 317.0 349.0 139.0 938.0 1070.0 479.0 4.0 872.0 1689.0 217.0 357.0 222.0 985.0 202.0 542.0 2050.0 1994.0 1057.0 708.0 160.0 967.0 703.0 321.0 215.0 3.0 1347.0 199.0 443.0 3735.0 266.0 11.0 1033.0 0.0 3.0
2021-11-07 07:02:31,176 - mmdet - INFO - Iter [39500/40000]	lr: 2.000e-02, eta: 0:15:55, time: 1.701, data_time: 0.031, memory: 26488, loss_rpn_cls: 0.0090, loss_rpn_bbox: 0.0307, loss_cls: 0.0616, acc: 97.5824, loss_bbox: 0.1332, loss_rpn_cls_unlabeled: 0.0790, loss_rpn_bbox_unlabeled: 0.0871, loss_cls_unlabeled: 0.1521, acc_unlabeled: 92.2563, loss_bbox_unlabeled: 0.1683, losses_cls_ig_unlabeled: 0.1267, pseudo_num: 1.6222, pseudo_num_ig: 6.0402, pseudo_num_mining: 0.9279, pseudo_num(acc): 0.7880, pseudo_num ig(acc): 0.3934, loss: 0.8478
2021-11-07 07:03:56,393 - mmdet - INFO - Iter [39550/40000]	lr: 2.000e-02, eta: 0:14:20, time: 1.704, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0092, loss_rpn_bbox: 0.0303, loss_cls: 0.0649, acc: 97.4501, loss_bbox: 0.1376, loss_rpn_cls_unlabeled: 0.0782, loss_rpn_bbox_unlabeled: 0.0919, loss_cls_unlabeled: 0.1542, acc_unlabeled: 92.0476, loss_bbox_unlabeled: 0.1682, losses_cls_ig_unlabeled: 0.1289, pseudo_num: 1.6221, pseudo_num_ig: 6.0401, pseudo_num_mining: 0.9283, pseudo_num(acc): 0.7880, pseudo_num ig(acc): 0.3934, loss: 0.8634
2021-11-07 07:05:19,817 - mmdet - INFO - Iter [39600/40000]	lr: 2.000e-02, eta: 0:12:44, time: 1.667, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0089, loss_rpn_bbox: 0.0286, loss_cls: 0.0614, acc: 97.6018, loss_bbox: 0.1285, loss_rpn_cls_unlabeled: 0.0764, loss_rpn_bbox_unlabeled: 0.0872, loss_cls_unlabeled: 0.1499, acc_unlabeled: 92.2211, loss_bbox_unlabeled: 0.1700, losses_cls_ig_unlabeled: 0.1277, pseudo_num: 1.6219, pseudo_num_ig: 6.0400, pseudo_num_mining: 0.9287, pseudo_num(acc): 0.7881, pseudo_num ig(acc): 0.3934, loss: 0.8386
2021-11-07 07:06:44,186 - mmdet - INFO - Iter [39650/40000]	lr: 2.000e-02, eta: 0:11:08, time: 1.687, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0095, loss_rpn_bbox: 0.0305, loss_cls: 0.0653, acc: 97.4639, loss_bbox: 0.1356, loss_rpn_cls_unlabeled: 0.0815, loss_rpn_bbox_unlabeled: 0.0902, loss_cls_unlabeled: 0.1564, acc_unlabeled: 92.0298, loss_bbox_unlabeled: 0.1701, losses_cls_ig_unlabeled: 0.1332, pseudo_num: 1.6217, pseudo_num_ig: 6.0398, pseudo_num_mining: 0.9291, pseudo_num(acc): 0.7881, pseudo_num ig(acc): 0.3934, loss: 0.8723
2021-11-07 07:08:08,809 - mmdet - INFO - Iter [39700/40000]	lr: 2.000e-02, eta: 0:09:33, time: 1.695, data_time: 0.027, memory: 26488, loss_rpn_cls: 0.0086, loss_rpn_bbox: 0.0308, loss_cls: 0.0642, acc: 97.4810, loss_bbox: 0.1353, loss_rpn_cls_unlabeled: 0.0748, loss_rpn_bbox_unlabeled: 0.0864, loss_cls_unlabeled: 0.1452, acc_unlabeled: 92.3558, loss_bbox_unlabeled: 0.1662, losses_cls_ig_unlabeled: 0.1262, pseudo_num: 1.6216, pseudo_num_ig: 6.0396, pseudo_num_mining: 0.9294, pseudo_num(acc): 0.7882, pseudo_num ig(acc): 0.3934, loss: 0.8378
2021-11-07 07:09:33,537 - mmdet - INFO - Iter [39750/40000]	lr: 2.000e-02, eta: 0:07:57, time: 1.695, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0091, loss_rpn_bbox: 0.0315, loss_cls: 0.0652, acc: 97.4716, loss_bbox: 0.1364, loss_rpn_cls_unlabeled: 0.0772, loss_rpn_bbox_unlabeled: 0.0873, loss_cls_unlabeled: 0.1578, acc_unlabeled: 92.2362, loss_bbox_unlabeled: 0.1762, losses_cls_ig_unlabeled: 0.1279, pseudo_num: 1.6214, pseudo_num_ig: 6.0393, pseudo_num_mining: 0.9298, pseudo_num(acc): 0.7882, pseudo_num ig(acc): 0.3935, loss: 0.8686
2021-11-07 07:10:57,613 - mmdet - INFO - Iter [39800/40000]	lr: 2.000e-02, eta: 0:06:21, time: 1.681, data_time: 0.028, memory: 26488, loss_rpn_cls: 0.0088, loss_rpn_bbox: 0.0304, loss_cls: 0.0648, acc: 97.4722, loss_bbox: 0.1369, loss_rpn_cls_unlabeled: 0.0712, loss_rpn_bbox_unlabeled: 0.0838, loss_cls_unlabeled: 0.1553, acc_unlabeled: 92.2484, loss_bbox_unlabeled: 0.1704, losses_cls_ig_unlabeled: 0.1308, pseudo_num: 1.6212, pseudo_num_ig: 6.0389, pseudo_num_mining: 0.9302, pseudo_num(acc): 0.7883, pseudo_num ig(acc): 0.3935, loss: 0.8525
2021-11-07 07:12:21,924 - mmdet - INFO - Iter [39850/40000]	lr: 2.000e-02, eta: 0:04:46, time: 1.685, data_time: 0.026, memory: 26488, loss_rpn_cls: 0.0093, loss_rpn_bbox: 0.0298, loss_cls: 0.0637, acc: 97.5221, loss_bbox: 0.1324, loss_rpn_cls_unlabeled: 0.0768, loss_rpn_bbox_unlabeled: 0.0872, loss_cls_unlabeled: 0.1526, acc_unlabeled: 92.2000, loss_bbox_unlabeled: 0.1701, losses_cls_ig_unlabeled: 0.1285, pseudo_num: 1.6210, pseudo_num_ig: 6.0387, pseudo_num_mining: 0.9305, pseudo_num(acc): 0.7883, pseudo_num ig(acc): 0.3935, loss: 0.8502
2021-11-07 07:13:46,793 - mmdet - INFO - Iter [39900/40000]	lr: 2.000e-02, eta: 0:03:10, time: 1.697, data_time: 0.029, memory: 26488, loss_rpn_cls: 0.0099, loss_rpn_bbox: 0.0316, loss_cls: 0.0657, acc: 97.4109, loss_bbox: 0.1355, loss_rpn_cls_unlabeled: 0.0762, loss_rpn_bbox_unlabeled: 0.0919, loss_cls_unlabeled: 0.1565, acc_unlabeled: 91.9862, loss_bbox_unlabeled: 0.1749, losses_cls_ig_unlabeled: 0.1328, pseudo_num: 1.6209, pseudo_num_ig: 6.0387, pseudo_num_mining: 0.9310, pseudo_num(acc): 0.7883, pseudo_num ig(acc): 0.3935, loss: 0.8750
2021-11-07 07:15:11,645 - mmdet - INFO - Iter [39950/40000]	lr: 2.000e-02, eta: 0:01:35, time: 1.698, data_time: 0.030, memory: 26488, loss_rpn_cls: 0.0097, loss_rpn_bbox: 0.0311, loss_cls: 0.0654, acc: 97.4373, loss_bbox: 0.1405, loss_rpn_cls_unlabeled: 0.0851, loss_rpn_bbox_unlabeled: 0.0928, loss_cls_unlabeled: 0.1571, acc_unlabeled: 92.0465, loss_bbox_unlabeled: 0.1734, losses_cls_ig_unlabeled: 0.1330, pseudo_num: 1.6208, pseudo_num_ig: 6.0387, pseudo_num_mining: 0.9313, pseudo_num(acc): 0.7884, pseudo_num ig(acc): 0.3935, loss: 0.8882
2021-11-07 07:16:34,211 - mmdet - INFO - pseudo pos: 0.98(77408.0-person) 0.87(2149.0-bicycle) 0.92(11443.0-car) 0.98(2264.0-motorcycle) 0.99(1004.0-airplane) 0.99(1582.0-bus) 0.98(1590.0-train) 0.70(2733.0-truck) 0.68(3180.0-boat) 0.87(4097.0-traffic light) 0.98(533.0-fire hydrant) 0.94(606.0-stop sign) 0.79(488.0-parking meter) 0.68(2685.0-bench) 0.93(2209.0-bird) 0.97(1437.0-cat) 0.96(1405.0-dog) 0.97(1902.0-horse) 0.96(1535.0-sheep) 0.87(3024.0-cow) 0.99(1164.0-elephant) 0.99(407.0-bear) 0.99(2092.0-zebra) 0.99(1971.0-giraffe) 0.44(2501.0-backpack) 0.81(3239.0-umbrella) 0.45(3854.0-handbag) 0.88(1761.0-tie) 0.69(2013.0-suitcase) 0.92(743.0-frisbee) 0.62(1915.0-skis) 0.30(1061.0-snowboard) 0.95(1643.0-sports ball) 0.75(2723.0-kite) 0.83(921.0-baseball bat) 0.81(1188.0-baseball glove) 0.97(1476.0-skateboard) 0.87(1623.0-surfboard) 0.95(904.0-tennis racket) 0.83(6392.0-bottle) 0.94(1861.0-wine glass) 0.80(6932.0-cup) 0.50(1044.0-fork) 0.34(2578.0-knife) 0.31(1986.0-spoon) 0.71(5968.0-bowl) 0.62(2842.0-banana) 0.35(2596.0-apple) 0.49(2122.0-sandwich) 0.50(1323.0-orange) 0.65(1857.0-broccoli) 0.41(2409.0-carrot) 0.04(6831.0-hot dog) 0.95(1673.0-pizza) 0.72(2369.0-donut) 0.55(1787.0-cake) 0.64(13656.0-chair) 0.80(1589.0-couch) 0.64(2734.0-potted plant) 0.92(1306.0-bed) 0.68(5776.0-dining table) 0.93(1095.0-toilet) 0.96(1721.0-tv) 0.97(1261.0-laptop) 0.96(389.0-mouse) 0.63(1373.0-remote) 0.73(779.0-keyboard) 0.68(2162.0-cell phone) 0.97(519.0-microwave) 0.80(1304.0-oven) 0.15(88.0-toaster) 0.76(1762.0-sink) 0.93(796.0-refrigerator) 0.23(6823.0-book) 0.95(1628.0-clock) 0.89(1611.0-vase) 0.56(536.0-scissors) 0.93(775.0-teddy bear) 0.00(0.0-hair drier) 0.24(784.0-toothbrush)
2021-11-07 07:16:34,212 - mmdet - INFO - pseudo ig: 0.56(288879.0-person) 0.30(8573.0-bicycle) 0.46(46112.0-car) 0.50(8989.0-motorcycle) 0.73(3560.0-airplane) 0.61(5992.0-bus) 0.54(5112.0-train) 0.30(10559.0-truck) 0.28(12380.0-boat) 0.30(16327.0-traffic light) 0.57(2072.0-fire hydrant) 0.51(2407.0-stop sign) 0.23(1590.0-parking meter) 0.18(10307.0-bench) 0.33(8057.0-bird) 0.70(4947.0-cat) 0.63(4869.0-dog) 0.53(7318.0-horse) 0.71(5655.0-sheep) 0.35(12169.0-cow) 0.80(5000.0-elephant) 0.61(1538.0-bear) 0.52(7927.0-zebra) 0.65(6438.0-giraffe) 0.18(9734.0-backpack) 0.33(12728.0-umbrella) 0.14(15633.0-handbag) 0.31(7097.0-tie) 0.21(7945.0-suitcase) 0.44(3128.0-frisbee) 0.28(7477.0-skis) 0.20(2524.0-snowboard) 0.34(7053.0-sports ball) 0.33(10666.0-kite) 0.26(3772.0-baseball bat) 0.28(4703.0-baseball glove) 0.46(5728.0-skateboard) 0.38(6402.0-surfboard) 0.70(3814.0-tennis racket) 0.33(27142.0-bottle) 0.38(7714.0-wine glass) 0.28(27753.0-cup) 0.24(4103.0-fork) 0.13(10295.0-knife) 0.10(8336.0-spoon) 0.27(23499.0-bowl) 0.22(11320.0-banana) 0.13(9245.0-apple) 0.25(5189.0-sandwich) 0.29(3751.0-orange) 0.33(7725.0-broccoli) 0.16(9275.0-carrot) 0.18(1436.0-hot dog) 0.47(6334.0-pizza) 0.28(8675.0-donut) 0.23(6835.0-cake) 0.20(53596.0-chair) 0.34(6046.0-couch) 0.29(10906.0-potted plant) 0.44(4589.0-bed) 0.30(17927.0-dining table) 0.59(4714.0-toilet) 0.50(6433.0-tv) 0.56(4839.0-laptop) 0.60(1527.0-mouse) 0.21(5708.0-remote) 0.48(3093.0-keyboard) 0.22(8307.0-cell phone) 0.37(2078.0-microwave) 0.24(4837.0-oven) 0.13(207.0-toaster) 0.38(6458.0-sink) 0.34(2880.0-refrigerator) 0.11(27117.0-book) 0.58(6139.0-clock) 0.35(6349.0-vase) 0.21(1957.0-scissors) 0.64(3114.0-teddy bear) 0.00(0.0-hair drier) 0.06(2763.0-toothbrush)
2021-11-07 07:16:34,313 - mmdet - INFO - pseudo gt: 348220.0 9691.0 58468.0 12129.0 6973.0 8276.0 6137.0 13403.0 14228.0 16887.0 2524.0 2778.0 1678.0 13460.0 13995.0 6362.0 7380.0 9125.0 12812.0 11209.0 7643.0 1787.0 7371.0 7087.0 12092.0 14981.0 17024.0 8673.0 8293.0 3693.0 8933.0 3598.0 8590.0 11741.0 4391.0 4895.0 7645.0 7950.0 6454.0 32643.0 10714.0 28422.0 7365.0 10484.0 8253.0 19299.0 12361.0 7921.0 5689.0 8559.0 9447.0 10839.0 3876.0 7899.0 8858.0 8526.0 50967.0 7722.0 11707.0 5666.0 21232.0 5646.0 7911.0 6821.0 3130.0 7776.0 3811.0 8815.0 2128.0 4365.0 314.0 7563.0 3551.0 32729.0 8429.0 8794.0 2053.0 6504.0 275.0 2627.0
2021-11-07 07:16:34,313 - mmdet - INFO - pseudo mining: 67862.0 280.0 9404.0 981.0 1005.0 1393.0 911.0 426.0 708.0 2159.0 818.0 1529.0 28.0 94.0 413.0 1298.0 709.0 1325.0 2787.0 1186.0 2470.0 493.0 2187.0 2470.0 151.0 1361.0 115.0 455.0 111.0 857.0 262.0 37.0 2177.0 2704.0 578.0 975.0 892.0 436.0 2031.0 2888.0 476.0 2722.0 29.0 136.0 69.0 2549.0 339.0 358.0 140.0 953.0 1091.0 481.0 4.0 884.0 1710.0 217.0 362.0 231.0 999.0 206.0 552.0 2077.0 2039.0 1073.0 720.0 161.0 990.0 728.0 328.0 223.0 3.0 1362.0 201.0 450.0 3786.0 269.0 12.0 1054.0 0.0 3.0
2021-11-07 07:16:35,836 - mmdet - INFO - Saving checkpoint at 40000 iterations
2021-11-07 07:17:26,756 - mmdet - INFO - Evaluating bbox...
2021-11-07 07:18:28,364 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.376 | bicycle      | 0.170 | car            | 0.314 |
| motorcycle    | 0.245 | airplane     | 0.296 | bus            | 0.486 |
| train         | 0.409 | truck        | 0.156 | boat           | 0.126 |
| traffic light | 0.187 | fire hydrant | 0.451 | stop sign      | 0.422 |
| parking meter | 0.333 | bench        | 0.118 | bird           | 0.180 |
| cat           | 0.353 | dog          | 0.342 | horse          | 0.355 |
| sheep         | 0.302 | cow          | 0.379 | elephant       | 0.426 |
| bear          | 0.468 | zebra        | 0.473 | giraffe        | 0.509 |
| backpack      | 0.052 | umbrella     | 0.202 | handbag        | 0.047 |
| tie           | 0.190 | suitcase     | 0.117 | frisbee        | 0.444 |
| skis          | 0.091 | snowboard    | 0.058 | sports ball    | 0.291 |
| kite          | 0.227 | baseball bat | 0.126 | baseball glove | 0.201 |
| skateboard    | 0.264 | surfboard    | 0.175 | tennis racket  | 0.228 |
| bottle        | 0.240 | wine glass   | 0.212 | cup            | 0.253 |
| fork          | 0.070 | knife        | 0.038 | spoon          | 0.022 |
| bowl          | 0.263 | banana       | 0.089 | apple          | 0.065 |
| sandwich      | 0.176 | orange       | 0.148 | broccoli       | 0.120 |
| carrot        | 0.048 | hot dog      | 0.067 | pizza          | 0.335 |
| donut         | 0.197 | cake         | 0.125 | chair          | 0.104 |
| couch         | 0.239 | potted plant | 0.116 | bed            | 0.278 |
| dining table  | 0.142 | toilet       | 0.384 | tv             | 0.391 |
| laptop        | 0.386 | mouse        | 0.437 | remote         | 0.074 |
| keyboard      | 0.257 | cell phone   | 0.181 | microwave      | 0.360 |
| oven          | 0.174 | toaster      | 0.084 | sink           | 0.154 |
| refrigerator  | 0.300 | book         | 0.023 | clock          | 0.385 |
| vase          | 0.209 | scissors     | 0.125 | teddy bear     | 0.244 |
| hair drier    | 0.000 | toothbrush   | 0.048 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 07:19:20,146 - mmdet - INFO - Evaluating bbox...
2021-11-07 07:20:20,157 - mmdet - INFO - 
+---------------+-------+--------------+-------+----------------+-------+
| category      | AP    | category     | AP    | category       | AP    |
+---------------+-------+--------------+-------+----------------+-------+
| person        | 0.394 | bicycle      | 0.183 | car            | 0.318 |
| motorcycle    | 0.253 | airplane     | 0.358 | bus            | 0.497 |
| train         | 0.446 | truck        | 0.152 | boat           | 0.143 |
| traffic light | 0.208 | fire hydrant | 0.470 | stop sign      | 0.461 |
| parking meter | 0.365 | bench        | 0.137 | bird           | 0.196 |
| cat           | 0.437 | dog          | 0.404 | horse          | 0.394 |
| sheep         | 0.314 | cow          | 0.399 | elephant       | 0.447 |
| bear          | 0.516 | zebra        | 0.485 | giraffe        | 0.528 |
| backpack      | 0.058 | umbrella     | 0.215 | handbag        | 0.054 |
| tie           | 0.189 | suitcase     | 0.123 | frisbee        | 0.456 |
| skis          | 0.094 | snowboard    | 0.067 | sports ball    | 0.295 |
| kite          | 0.232 | baseball bat | 0.140 | baseball glove | 0.209 |
| skateboard    | 0.307 | surfboard    | 0.208 | tennis racket  | 0.264 |
| bottle        | 0.251 | wine glass   | 0.212 | cup            | 0.270 |
| fork          | 0.069 | knife        | 0.049 | spoon          | 0.033 |
| bowl          | 0.278 | banana       | 0.103 | apple          | 0.078 |
| sandwich      | 0.211 | orange       | 0.156 | broccoli       | 0.140 |
| carrot        | 0.052 | hot dog      | 0.087 | pizza          | 0.362 |
| donut         | 0.214 | cake         | 0.128 | chair          | 0.121 |
| couch         | 0.268 | potted plant | 0.120 | bed            | 0.318 |
| dining table  | 0.150 | toilet       | 0.426 | tv             | 0.424 |
| laptop        | 0.420 | mouse        | 0.461 | remote         | 0.076 |
| keyboard      | 0.264 | cell phone   | 0.195 | microwave      | 0.391 |
| oven          | 0.194 | toaster      | 0.076 | sink           | 0.172 |
| refrigerator  | 0.338 | book         | 0.027 | clock          | 0.393 |
| vase          | 0.219 | scissors     | 0.157 | teddy bear     | 0.291 |
| hair drier    | 0.000 | toothbrush   | 0.056 | None           | None  |
+---------------+-------+--------------+-------+----------------+-------+
2021-11-07 07:21:44,268 - mmdet - INFO - current percent: 0.2
2021-11-07 07:21:44,268 - mmdet - INFO - update score thr (positive): (1.00-person) (0.99-bicycle) (1.00-car) (1.00-motorcycle) (1.00-airplane) (1.00-bus) (1.00-train) (0.97-truck) (0.98-boat) (0.99-traffic light) (1.00-fire hydrant) (1.00-stop sign) (0.99-parking meter) (0.96-bench) (0.99-bird) (1.00-cat) (0.99-dog) (1.00-horse) (1.00-sheep) (0.99-cow) (1.00-elephant) (1.00-bear) (1.00-zebra) (1.00-giraffe) (0.96-backpack) (0.99-umbrella) (0.91-handbag) (0.99-tie) (0.97-suitcase) (1.00-frisbee) (0.99-skis) (0.88-snowboard) (0.99-sports ball) (0.99-kite) (1.00-baseball bat) (1.00-baseball glove) (1.00-skateboard) (0.99-surfboard) (1.00-tennis racket) (0.99-bottle) (0.99-wine glass) (0.99-cup) (0.88-fork) (0.95-knife) (0.93-spoon) (0.99-bowl) (0.97-banana) (0.94-apple) (0.99-sandwich) (0.99-orange) (0.98-broccoli) (0.95-carrot) (0.92-hot dog) (1.00-pizza) (1.00-donut) (0.98-cake) (0.96-chair) (0.98-couch) (0.99-potted plant) (0.99-bed) (0.99-dining table) (1.00-toilet) (1.00-tv) (1.00-laptop) (1.00-mouse) (0.97-remote) (1.00-keyboard) (0.99-cell phone) (1.00-microwave) (0.99-oven) (0.38-toaster) (1.00-sink) (0.99-refrigerator) (0.95-book) (1.00-clock) (0.99-vase) (0.97-scissors) (1.00-teddy bear) (0.05-hair drier) (0.92-toothbrush)
2021-11-07 07:21:44,644 - mmdet - INFO - update score thr (ignore): (0.13-person) (0.09-bicycle) (0.31-car) (0.23-motorcycle) (0.55-airplane) (0.53-bus) (0.48-train) (0.28-truck) (0.23-boat) (0.23-traffic light) (0.52-fire hydrant) (0.79-stop sign) (0.07-parking meter) (0.18-bench) (0.07-bird) (0.54-cat) (0.30-dog) (0.15-horse) (0.83-sheep) (0.33-cow) (0.36-elephant) (0.70-bear) (0.10-zebra) (0.09-giraffe) (0.36-backpack) (0.13-umbrella) (0.15-handbag) (0.22-tie) (0.20-suitcase) (0.55-frisbee) (0.30-skis) (0.16-snowboard) (0.55-sports ball) (0.38-kite) (0.60-baseball bat) (0.66-baseball glove) (0.26-skateboard) (0.18-surfboard) (0.75-tennis racket) (0.44-bottle) (0.05-wine glass) (0.25-cup) (0.05-fork) (0.28-knife) (0.19-spoon) (0.38-bowl) (0.11-banana) (0.23-apple) (0.23-sandwich) (0.64-orange) (0.33-broccoli) (0.45-carrot) (0.31-hot dog) (0.41-pizza) (0.78-donut) (0.25-cake) (0.11-chair) (0.31-couch) (0.34-potted plant) (0.36-bed) (0.19-dining table) (0.62-toilet) (0.54-tv) (0.27-laptop) (0.68-mouse) (0.24-remote) (0.68-keyboard) (0.45-cell phone) (0.49-microwave) (0.30-oven) (0.12-toaster) (0.48-sink) (0.32-refrigerator) (0.26-book) (0.56-clock) (0.24-vase) (0.20-scissors) (0.72-teddy bear) (0.05-hair drier) (0.13-toothbrush)
2021-11-07 07:21:44,891 - mmdet - INFO - Exp name: labelmatch_0.9_1_1_8.py
2021-11-07 07:21:44,892 - mmdet - INFO - Iter [40000/40000]	lr: 2.000e-02, eta: 0:00:00, time: 1.708, data_time: 0.031, memory: 26488, bbox_mAP: 0.2460, bbox_mAP_50: 0.4210, bbox_mAP_75: 0.2560, bbox_mAP_s: 0.1220, bbox_mAP_m: 0.2680, bbox_mAP_l: 0.3360, bbox_mAP_copypaste: 0.246 0.421 0.256 0.122 0.268 0.336, loss_rpn_cls: 0.0094, loss_rpn_bbox: 0.0313, loss_cls: 0.0614, acc: 97.6056, loss_bbox: 0.1322, loss_rpn_cls_unlabeled: 0.0801, loss_rpn_bbox_unlabeled: 0.0888, loss_cls_unlabeled: 0.1526, acc_unlabeled: 92.2063, loss_bbox_unlabeled: 0.1719, losses_cls_ig_unlabeled: 0.1291, pseudo_num: 1.6206, pseudo_num_ig: 6.0387, pseudo_num_mining: 0.9317, pseudo_num(acc): 0.7884, pseudo_num ig(acc): 0.3935, loss: 0.8567