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A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP
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Reproduce the SeCo DOTA result. #18

Closed pUmpKin-Co closed 1 year ago

pUmpKin-Co commented 1 year ago

Hi~I'm recently working on some comparison experiments. When I fine-tune the official SeCo pre-trained model (SeCo-1M) on DOTA objection detection tasks. The test set mAP result was much lower than the paper's (TABLE VIII 70.07).

I strictly followed the experimental setup in the paper, but instead of OBBDetection I used mmrotate, and the difference is, I think, not that big.

Do you have any suggestions for reproduction? Thanks~

The mmrotate config which I use is given blow:

angle_version = 'le90'
dataset_type = 'DOTADataset'
data_root = '../DOTA'
img_norm_cfg = dict(
    mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [
    dict(type='LoadImageFromFile'),
    dict(type='LoadAnnotations', with_bbox=True),
    dict(type='RResize', img_scale=(1024, 1024)),
    dict(
        type='RRandomFlip',
        flip_ratio=[0.25, 0.25, 0.25],
        direction=['horizontal', 'vertical', 'diagonal'],
        version='le90'),
    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'])
]
test_pipeline = [
    dict(type='LoadImageFromFile'),
    dict(
        type='MultiScaleFlipAug',
        img_scale=(1024, 1024),
        flip=False,
        transforms=[
            dict(type='RResize'),
            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'])
        ])
]
data = dict(
    samples_per_gpu=2,
    workers_per_gpu=2,
    train=dict(
        type='DOTADataset',
        ann_file=data_root + "/trainVal/annfiles",
        img_prefix=data_root + "/trainVal/images",
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(type='LoadAnnotations', with_bbox=True),
            dict(type='RResize', img_scale=(1024, 1024)),
            dict(
                type='RRandomFlip',
                flip_ratio=[0.25, 0.25, 0.25],
                direction=['horizontal', 'vertical', 'diagonal'],
                version='le90'),
            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'])
        ]),
    val=dict(
        type='DOTADataset',
        ann_file=data_root + "/trainVal/annfiles",
        img_prefix=data_root + "/trainVal/images",
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(
                type='MultiScaleFlipAug',
                img_scale=(1024, 1024),
                flip=False,
                transforms=[
                    dict(type='RResize'),
                    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'])
                ])
        ]),
    test=dict(
        type='DOTADataset',
        ann_file=data_root + "/test/annfiles",
        img_prefix=data_root + "/tests/images",
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(
                type='MultiScaleFlipAug',
                img_scale=(1024, 1024),
                flip=False,
                transforms=[
                    dict(type='RResize'),
                    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'])
                ])
        ]))
evaluation = dict(interval=1, metric='mAP')
optimizer = dict(type='SGD', lr=0.005, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(
    type='Fp16OptimizerHook',
    distributed=False,
    grad_clip=dict(max_norm=35.0, norm_type=2))
lr_config = dict(
    policy='step',
    warmup='linear',
    warmup_iters=500,
    warmup_ratio=0.3333333333333333,
    step=[8, 11])
runner = dict(type='EpochBasedRunner', max_epochs=12)
checkpoint_config = dict(interval=1)
log_config = dict(
    interval=50,
    hooks=[dict(type='TextLoggerHook'),
           dict(type='TensorboardLoggerHook')])
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
opencv_num_threads = 0
mp_start_method = 'fork'
model = dict(
    type='OrientedRCNN',
    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',
        init_cfg=dict(
            type='Pretrained',
            checkpoint='../pretrain_checkpoint/SeCo1m.pth')),
    neck=dict(
        type='FPN',
        in_channels=[256, 512, 1024, 2048],
        out_channels=256,
        num_outs=5),
    rpn_head=dict(
        type='OrientedRPNHead',
        in_channels=256,
        feat_channels=256,
        version='le90',
        anchor_generator=dict(
            type='AnchorGenerator',
            scales=[8],
            ratios=[0.5, 1.0, 2.0],
            strides=[4, 8, 16, 32, 64]),
        bbox_coder=dict(
            type='MidpointOffsetCoder',
            angle_range='le90',
            target_means=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
            target_stds=[1.0, 1.0, 1.0, 1.0, 0.5, 0.5]),
        loss_cls=dict(
            type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),
        loss_bbox=dict(
            type='SmoothL1Loss', beta=0.1111111111111111, loss_weight=1.0)),
    roi_head=dict(
        type='OrientedStandardRoIHead',
        bbox_roi_extractor=dict(
            type='RotatedSingleRoIExtractor',
            roi_layer=dict(
                type='RoIAlignRotated',
                out_size=7,
                sample_num=2,
                clockwise=True),
            out_channels=256,
            featmap_strides=[4, 8, 16, 32]),
        bbox_head=dict(
            type='RotatedShared2FCBBoxHead',
            in_channels=256,
            fc_out_channels=1024,
            roi_feat_size=7,
            num_classes=15,
            bbox_coder=dict(
                type='DeltaXYWHAOBBoxCoder',
                angle_range='le90',
                norm_factor=None,
                edge_swap=True,
                proj_xy=True,
                target_means=(0.0, 0.0, 0.0, 0.0, 0.0),
                target_stds=(0.1, 0.1, 0.2, 0.2, 0.1)),
            reg_class_agnostic=True,
            loss_cls=dict(
                type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
            loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0))),
    train_cfg=dict(
        rpn=dict(
            assigner=dict(
                type='MaxIoUAssigner',
                pos_iou_thr=0.7,
                neg_iou_thr=0.3,
                min_pos_iou=0.3,
                match_low_quality=True,
                ignore_iof_thr=-1),
            sampler=dict(
                type='RandomSampler',
                num=256,
                pos_fraction=0.5,
                neg_pos_ub=-1,
                add_gt_as_proposals=False),
            allowed_border=0,
            pos_weight=-1,
            debug=False),
        rpn_proposal=dict(
            nms_pre=2000,
            max_per_img=2000,
            nms=dict(type='nms', iou_threshold=0.8),
            min_bbox_size=0),
        rcnn=dict(
            assigner=dict(
                type='MaxIoUAssigner',
                pos_iou_thr=0.5,
                neg_iou_thr=0.5,
                min_pos_iou=0.5,
                match_low_quality=False,
                iou_calculator=dict(type='RBboxOverlaps2D'),
                ignore_iof_thr=-1),
            sampler=dict(
                type='RRandomSampler',
                num=512,
                pos_fraction=0.25,
                neg_pos_ub=-1,
                add_gt_as_proposals=True),
            pos_weight=-1,
            debug=False)),
    test_cfg=dict(
        rpn=dict(
            nms_pre=2000,
            max_per_img=2000,
            nms=dict(type='nms', iou_threshold=0.8),
            min_bbox_size=0),
        rcnn=dict(
            nms_pre=2000,
            min_bbox_size=0,
            score_thr=0.05,
            nms=dict(iou_thr=0.1),
            max_per_img=2000)))
work_dir = './seco_result'
auto_resume = False
gpu_ids = [0]
DotWang commented 1 year ago

@pUmpKin-Co For model, you can compare with faster_rcnn_orpn_rsp_r50_fpn_1x_dota10, we didn't change anywhere except the mode path.

For data, I notice you use 'diagonal flip' and random rotate, the random rotate cannot be applied in the single scale training, while the 'diagonal flip' had not been used in the mmrotate.

https://github.com/open-mmlab/mmrotate/blob/main/configs/_base_/datasets/dotav1.py

pUmpKin-Co commented 1 year ago

@pUmpKin-Co For model, you can compare with faster_rcnn_orpn_rsp_r50_fpn_1x_dota10, we didn't change anywhere except the mode path.

For data, I notice you use 'diagonal flip' and random rotate, the random rotate cannot be applied in the single scale training, while the 'diagonal flip' had not been used in the mmrotate.

https://github.com/open-mmlab/mmrotate/blob/main/configs/_base_/datasets/dotav1.py

Thanks for your patient reply. I reproduce the IMP result on DOTA with the same config and get the similar result with paper's. But the SeCo pretrained result are far from expected. I'll try to see if the OBBDetection framework has the same problem, and if you have any suggestions, I really hope you can inform me! Thanks again!

DotWang commented 1 year ago

@pUmpKin-Co Oh, I suddenly remembered that we have manually transformed the originally downloaded ckpt to pth by changing keys. You can check whether the weights are loaded.

pUmpKin-Co commented 1 year ago

@pUmpKin-Co Oh, I suddenly remembered that we have manually transformed the originally downloaded ckpt to pth by changing keys. You can check whether the weights are loaded.

Yes! I check and confirm that the weights are loaded correctly. But the result are also far form expect. I also analyse the log and find that the loss_rpn_cls drop far slower than imp pre-trained model.

DotWang commented 1 year ago

@pUmpKin-Co Well, I have no other suggestions, you can refer to the config (just find we have uploaded it...)

And here is the training log:

2022-03-02 11:56:51,948 - mmdet - INFO - load model from: /public/data3/users/wangdi153/RS_CV/pretrain_model/seco_resnet50_1m.pth
2022-03-02 11:56:52,796 - mmdet - WARNING - The model and loaded state dict do not match exactly

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

2022-03-02 11:57:06,889 - mmdet - INFO - Start running, host: wangdi153@gpu-11-71-1-138, work_dir: /public/data3/users/wangdi153/RS_CV/OBBDetection/work_dirs/faster/faster_rcnn_orpn_seco_r50_fpn_1x_dota10
2022-03-02 11:57:06,889 - mmdet - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH   ) StepLrUpdaterHook                  
(NORMAL      ) CheckpointHook                     
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_train_epoch:
(VERY_HIGH   ) StepLrUpdaterHook                  
(NORMAL      ) DistSamplerSeedHook                
(LOW         ) IterTimerHook                      
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_train_iter:
(VERY_HIGH   ) StepLrUpdaterHook                  
(LOW         ) IterTimerHook                      
 -------------------- 
after_train_iter:
(ABOVE_NORMAL) OptimizerHook                      
(NORMAL      ) CheckpointHook                     
(LOW         ) IterTimerHook                      
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
after_train_epoch:
(NORMAL      ) CheckpointHook                     
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_val_epoch:
(NORMAL      ) DistSamplerSeedHook                
(LOW         ) IterTimerHook                      
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_val_iter:
(LOW         ) IterTimerHook                      
 -------------------- 
after_val_iter:
(LOW         ) IterTimerHook                      
 -------------------- 
after_val_epoch:
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
2022-03-02 11:57:06,890 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2022-03-02 11:58:14,948 - mmdet - INFO - Epoch [1][50/6400] lr: 4.945e-04, eta: 1 day, 5:00:51, time: 1.361, data_time: 1.077, memory: 4744, loss_rpn_cls: 0.7417, loss_rpn_bbox: 0.8708, loss_cls: 1.9198, acc: 86.4414, loss_bbox: 0.0581, loss: 3.5904, grad_norm: 174.4381
2022-03-02 11:58:34,236 - mmdet - INFO - Epoch [1][100/6400]    lr: 9.940e-04, eta: 18:36:25, time: 0.386, data_time: 0.012, memory: 4744, loss_rpn_cls: 0.4475, loss_rpn_bbox: 0.3673, loss_cls: 0.4667, acc: 92.7812, loss_bbox: 0.0835, loss: 1.3649, grad_norm: 18.2238
2022-03-02 11:58:52,206 - mmdet - INFO - Epoch [1][150/6400]    lr: 1.494e-03, eta: 14:56:50, time: 0.359, data_time: 0.011, memory: 4744, loss_rpn_cls: 0.3363, loss_rpn_bbox: 0.3102, loss_cls: 0.3598, acc: 93.2910, loss_bbox: 0.1484, loss: 1.1547, grad_norm: 8.7319
2022-03-02 11:59:06,508 - mmdet - INFO - Epoch [1][200/6400]    lr: 1.993e-03, eta: 12:43:29, time: 0.286, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2753, loss_rpn_bbox: 0.3070, loss_cls: 0.3108, acc: 94.5625, loss_bbox: 0.1708, loss: 1.0639, grad_norm: 7.1510
2022-03-02 11:59:20,822 - mmdet - INFO - Epoch [1][250/6400]    lr: 2.493e-03, eta: 11:23:26, time: 0.286, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2657, loss_rpn_bbox: 0.2597, loss_cls: 0.3206, acc: 95.2363, loss_bbox: 0.1207, loss: 0.9668, grad_norm: 6.2630
2022-03-02 11:59:36,950 - mmdet - INFO - Epoch [1][300/6400]    lr: 2.992e-03, eta: 10:37:42, time: 0.323, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2312, loss_rpn_bbox: 0.2393, loss_cls: 0.3234, acc: 94.3008, loss_bbox: 0.1750, loss: 0.9688, grad_norm: 5.6368
2022-03-02 11:59:52,317 - mmdet - INFO - Epoch [1][350/6400]    lr: 3.492e-03, eta: 10:02:11, time: 0.307, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2563, loss_rpn_bbox: 0.2687, loss_cls: 0.2787, acc: 94.6973, loss_bbox: 0.1334, loss: 0.9371, grad_norm: 4.8427
2022-03-02 12:00:06,513 - mmdet - INFO - Epoch [1][400/6400]    lr: 3.991e-03, eta: 9:31:45, time: 0.284, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2634, loss_rpn_bbox: 0.2764, loss_cls: 0.3215, acc: 93.5098, loss_bbox: 0.2115, loss: 1.0729, grad_norm: 5.7378
2022-03-02 12:00:20,903 - mmdet - INFO - Epoch [1][450/6400]    lr: 4.491e-03, eta: 9:08:35, time: 0.288, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2851, loss_rpn_bbox: 0.3251, loss_cls: 0.4162, acc: 92.5547, loss_bbox: 0.2522, loss: 1.2786, grad_norm: 8.7608
2022-03-02 12:00:36,633 - mmdet - INFO - Epoch [1][500/6400]    lr: 4.990e-03, eta: 8:53:24, time: 0.315, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2896, loss_rpn_bbox: 0.2962, loss_cls: 0.3868, acc: 92.4238, loss_bbox: 0.2104, loss: 1.1830, grad_norm: 7.9810
2022-03-02 12:00:51,209 - mmdet - INFO - Epoch [1][550/6400]    lr: 5.000e-03, eta: 8:38:16, time: 0.292, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2144, loss_rpn_bbox: 0.2405, loss_cls: 0.3280, acc: 93.7285, loss_bbox: 0.1893, loss: 0.9722, grad_norm: 5.3836
2022-03-02 12:01:11,715 - mmdet - INFO - Epoch [1][600/6400]    lr: 5.000e-03, eta: 8:38:11, time: 0.410, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2513, loss_rpn_bbox: 0.2897, loss_cls: 0.3147, acc: 93.3359, loss_bbox: 0.1856, loss: 1.0412, grad_norm: 5.9474
2022-03-02 12:01:27,896 - mmdet - INFO - Epoch [1][650/6400]    lr: 5.000e-03, eta: 8:29:36, time: 0.324, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.3022, loss_rpn_bbox: 0.2829, loss_cls: 0.2585, acc: 94.4199, loss_bbox: 0.1487, loss: 0.9922, grad_norm: 5.4841
2022-03-02 12:01:42,316 - mmdet - INFO - Epoch [1][700/6400]    lr: 5.000e-03, eta: 8:19:01, time: 0.288, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2341, loss_rpn_bbox: 0.2999, loss_cls: 0.3626, acc: 93.4102, loss_bbox: 0.2492, loss: 1.1458, grad_norm: 5.7065
2022-03-02 12:02:00,040 - mmdet - INFO - Epoch [1][750/6400]    lr: 5.000e-03, eta: 8:15:23, time: 0.354, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2187, loss_rpn_bbox: 0.3092, loss_cls: 0.3313, acc: 92.0195, loss_bbox: 0.2806, loss: 1.1398, grad_norm: 5.0330
2022-03-02 12:02:15,779 - mmdet - INFO - Epoch [1][800/6400]    lr: 5.000e-03, eta: 8:09:02, time: 0.315, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1843, loss_rpn_bbox: 0.2525, loss_cls: 0.2867, acc: 93.5449, loss_bbox: 0.2181, loss: 0.9416, grad_norm: 4.7315
2022-03-02 12:02:30,349 - mmdet - INFO - Epoch [1][850/6400]    lr: 5.000e-03, eta: 8:01:40, time: 0.291, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2247, loss_rpn_bbox: 0.2871, loss_cls: 0.2655, acc: 93.8477, loss_bbox: 0.2211, loss: 0.9984, grad_norm: 4.6633
2022-03-02 12:02:47,190 - mmdet - INFO - Epoch [1][900/6400]    lr: 5.000e-03, eta: 7:58:17, time: 0.337, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1533, loss_rpn_bbox: 0.2182, loss_cls: 0.2865, acc: 93.5469, loss_bbox: 0.2359, loss: 0.8939, grad_norm: 4.0898
2022-03-02 12:03:01,542 - mmdet - INFO - Epoch [1][950/6400]    lr: 5.000e-03, eta: 7:51:54, time: 0.287, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1503, loss_rpn_bbox: 0.2472, loss_cls: 0.2512, acc: 94.2441, loss_bbox: 0.2068, loss: 0.8556, grad_norm: 4.1729
2022-03-02 12:03:15,766 - mmdet - INFO - Epoch [1][1000/6400]   lr: 5.000e-03, eta: 7:45:59, time: 0.284, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1997, loss_rpn_bbox: 0.2534, loss_cls: 0.2489, acc: 93.9961, loss_bbox: 0.1933, loss: 0.8952, grad_norm: 4.4520
2022-03-02 12:03:31,753 - mmdet - INFO - Epoch [1][1050/6400]   lr: 5.000e-03, eta: 7:42:43, time: 0.320, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1813, loss_rpn_bbox: 0.2874, loss_cls: 0.2348, acc: 94.3027, loss_bbox: 0.2147, loss: 0.9181, grad_norm: 3.5995
2022-03-02 12:03:45,906 - mmdet - INFO - Epoch [1][1100/6400]   lr: 5.000e-03, eta: 7:37:38, time: 0.283, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1317, loss_rpn_bbox: 0.1922, loss_cls: 0.2545, acc: 93.6016, loss_bbox: 0.2491, loss: 0.8276, grad_norm: 3.8511
2022-03-02 12:04:00,040 - mmdet - INFO - Epoch [1][1150/6400]   lr: 5.000e-03, eta: 7:32:56, time: 0.283, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1502, loss_rpn_bbox: 0.2048, loss_cls: 0.2368, acc: 94.2637, loss_bbox: 0.2335, loss: 0.8253, grad_norm: 3.5694
2022-03-02 12:04:18,778 - mmdet - INFO - Epoch [1][1200/6400]   lr: 5.000e-03, eta: 7:33:27, time: 0.375, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1659, loss_rpn_bbox: 0.2848, loss_cls: 0.2516, acc: 93.6230, loss_bbox: 0.2077, loss: 0.9100, grad_norm: 4.5403
2022-03-02 12:04:34,559 - mmdet - INFO - Epoch [1][1250/6400]   lr: 5.000e-03, eta: 7:30:55, time: 0.316, data_time: 0.011, memory: 4744, loss_rpn_cls: 0.1687, loss_rpn_bbox: 0.2381, loss_cls: 0.2502, acc: 94.0020, loss_bbox: 0.2046, loss: 0.8617, grad_norm: 4.3564
2022-03-02 12:04:51,596 - mmdet - INFO - Epoch [1][1300/6400]   lr: 5.000e-03, eta: 7:29:47, time: 0.341, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1713, loss_rpn_bbox: 0.2298, loss_cls: 0.2824, acc: 92.9941, loss_bbox: 0.2472, loss: 0.9307, grad_norm: 4.4497
2022-03-02 12:05:09,684 - mmdet - INFO - Epoch [1][1350/6400]   lr: 5.000e-03, eta: 7:29:41, time: 0.362, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1697, loss_rpn_bbox: 0.2407, loss_cls: 0.2228, acc: 94.5391, loss_bbox: 0.2324, loss: 0.8655, grad_norm: 4.1270
2022-03-02 12:05:28,016 - mmdet - INFO - Epoch [1][1400/6400]   lr: 5.000e-03, eta: 7:29:48, time: 0.367, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1557, loss_rpn_bbox: 0.2547, loss_cls: 0.2755, acc: 92.6953, loss_bbox: 0.2350, loss: 0.9210, grad_norm: 4.3723
2022-03-02 12:05:43,397 - mmdet - INFO - Epoch [1][1450/6400]   lr: 5.000e-03, eta: 7:27:19, time: 0.308, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1625, loss_rpn_bbox: 0.2454, loss_cls: 0.3011, acc: 92.7344, loss_bbox: 0.2473, loss: 0.9563, grad_norm: 4.9848
2022-03-02 12:05:58,841 - mmdet - INFO - Epoch [1][1500/6400]   lr: 5.000e-03, eta: 7:25:02, time: 0.309, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.2054, loss_rpn_bbox: 0.2692, loss_cls: 0.2601, acc: 93.0391, loss_bbox: 0.2541, loss: 0.9889, grad_norm: 5.2411
2022-03-02 12:06:13,098 - mmdet - INFO - Epoch [1][1550/6400]   lr: 5.000e-03, eta: 7:21:56, time: 0.285, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1607, loss_rpn_bbox: 0.2208, loss_cls: 0.2185, acc: 94.3105, loss_bbox: 0.2207, loss: 0.8207, grad_norm: 4.6303
2022-03-02 12:06:31,788 - mmdet - INFO - Epoch [1][1600/6400]   lr: 5.000e-03, eta: 7:22:29, time: 0.374, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1609, loss_rpn_bbox: 0.2651, loss_cls: 0.2777, acc: 92.9609, loss_bbox: 0.2801, loss: 0.9837, grad_norm: 4.2740
2022-03-02 12:06:48,254 - mmdet - INFO - Epoch [1][1650/6400]   lr: 5.000e-03, eta: 7:21:17, time: 0.329, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1880, loss_rpn_bbox: 0.2726, loss_cls: 0.2746, acc: 92.8086, loss_bbox: 0.2517, loss: 0.9869, grad_norm: 4.7679
2022-03-02 12:07:04,063 - mmdet - INFO - Epoch [1][1700/6400]   lr: 5.000e-03, eta: 7:19:40, time: 0.316, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1484, loss_rpn_bbox: 0.2337, loss_cls: 0.2713, acc: 92.7676, loss_bbox: 0.2614, loss: 0.9147, grad_norm: 4.1410
2022-03-02 12:07:19,662 - mmdet - INFO - Epoch [1][1750/6400]   lr: 5.000e-03, eta: 7:17:58, time: 0.312, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1252, loss_rpn_bbox: 0.2336, loss_cls: 0.2537, acc: 92.8867, loss_bbox: 0.2865, loss: 0.8990, grad_norm: 4.5074
2022-03-02 12:07:36,766 - mmdet - INFO - Epoch [1][1800/6400]   lr: 5.000e-03, eta: 7:17:23, time: 0.342, data_time: 0.012, memory: 4752, loss_rpn_cls: 0.1279, loss_rpn_bbox: 0.2499, loss_cls: 0.2550, acc: 93.0664, loss_bbox: 0.2333, loss: 0.8662, grad_norm: 4.1132
2022-03-02 12:07:52,262 - mmdet - INFO - Epoch [1][1850/6400]   lr: 5.000e-03, eta: 7:15:45, time: 0.310, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1461, loss_rpn_bbox: 0.2391, loss_cls: 0.2879, acc: 92.6738, loss_bbox: 0.3310, loss: 1.0042, grad_norm: 4.7064
2022-03-02 12:08:12,182 - mmdet - INFO - Epoch [1][1900/6400]   lr: 5.000e-03, eta: 7:17:05, time: 0.398, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1324, loss_rpn_bbox: 0.2200, loss_cls: 0.2584, acc: 93.5312, loss_bbox: 0.2018, loss: 0.8126, grad_norm: 3.8934
2022-03-02 12:08:26,458 - mmdet - INFO - Epoch [1][1950/6400]   lr: 5.000e-03, eta: 7:14:44, time: 0.286, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1143, loss_rpn_bbox: 0.2133, loss_cls: 0.2658, acc: 92.9473, loss_bbox: 0.2578, loss: 0.8512, grad_norm: 4.8030
2022-03-02 12:08:44,965 - mmdet - INFO - Epoch [1][2000/6400]   lr: 5.000e-03, eta: 7:15:07, time: 0.370, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1408, loss_rpn_bbox: 0.2556, loss_cls: 0.2591, acc: 92.7285, loss_bbox: 0.2424, loss: 0.8979, grad_norm: 5.0763
2022-03-02 12:09:01,153 - mmdet - INFO - Epoch [1][2050/6400]   lr: 5.000e-03, eta: 7:14:03, time: 0.324, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1512, loss_rpn_bbox: 0.2113, loss_cls: 0.2929, acc: 92.5801, loss_bbox: 0.2383, loss: 0.8937, grad_norm: 4.4116
2022-03-02 12:09:18,509 - mmdet - INFO - Epoch [1][2100/6400]   lr: 5.000e-03, eta: 7:13:43, time: 0.347, data_time: 0.012, memory: 4752, loss_rpn_cls: 0.1249, loss_rpn_bbox: 0.1902, loss_cls: 0.2612, acc: 93.1738, loss_bbox: 0.2467, loss: 0.8230, grad_norm: 3.5979
2022-03-02 12:09:33,872 - mmdet - INFO - Epoch [1][2150/6400]   lr: 5.000e-03, eta: 7:12:15, time: 0.307, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1192, loss_rpn_bbox: 0.2164, loss_cls: 0.2631, acc: 92.8242, loss_bbox: 0.2362, loss: 0.8349, grad_norm: 4.0326
2022-03-02 12:09:50,573 - mmdet - INFO - Epoch [1][2200/6400]   lr: 5.000e-03, eta: 7:11:34, time: 0.334, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.1492, loss_rpn_bbox: 0.2178, loss_cls: 0.2361, acc: 92.9590, loss_bbox: 0.2366, loss: 0.8397, grad_norm: 4.4331
2022-03-02 12:10:08,754 - mmdet - INFO - Epoch [1][2250/6400]   lr: 5.000e-03, eta: 7:11:44, time: 0.364, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1219, loss_rpn_bbox: 0.2220, loss_cls: 0.2370, acc: 93.3516, loss_bbox: 0.2545, loss: 0.8354, grad_norm: 4.0808
2022-03-02 12:10:23,091 - mmdet - INFO - Epoch [1][2300/6400]   lr: 5.000e-03, eta: 7:09:49, time: 0.287, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0965, loss_rpn_bbox: 0.1956, loss_cls: 0.2498, acc: 93.3086, loss_bbox: 0.2268, loss: 0.7687, grad_norm: 4.0438
2022-03-02 12:10:37,381 - mmdet - INFO - Epoch [1][2350/6400]   lr: 5.000e-03, eta: 7:07:56, time: 0.286, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1259, loss_rpn_bbox: 0.2154, loss_cls: 0.2493, acc: 92.9141, loss_bbox: 0.3035, loss: 0.8941, grad_norm: 4.2797
2022-03-02 12:10:52,910 - mmdet - INFO - Epoch [1][2400/6400]   lr: 5.000e-03, eta: 7:06:45, time: 0.311, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1331, loss_rpn_bbox: 0.2146, loss_cls: 0.2577, acc: 93.1445, loss_bbox: 0.2781, loss: 0.8835, grad_norm: 4.1439
2022-03-02 12:11:09,327 - mmdet - INFO - Epoch [1][2450/6400]   lr: 5.000e-03, eta: 7:06:04, time: 0.328, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1170, loss_rpn_bbox: 0.2322, loss_cls: 0.2827, acc: 92.0527, loss_bbox: 0.2599, loss: 0.8919, grad_norm: 4.4365
2022-03-02 12:11:23,584 - mmdet - INFO - Epoch [1][2500/6400]   lr: 5.000e-03, eta: 7:04:20, time: 0.285, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1146, loss_rpn_bbox: 0.1812, loss_cls: 0.2621, acc: 92.7188, loss_bbox: 0.2567, loss: 0.8146, grad_norm: 3.8493
2022-03-02 12:11:39,084 - mmdet - INFO - Epoch [1][2550/6400]   lr: 5.000e-03, eta: 7:03:15, time: 0.310, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1210, loss_rpn_bbox: 0.2008, loss_cls: 0.2423, acc: 93.1855, loss_bbox: 0.2137, loss: 0.7779, grad_norm: 3.9076
2022-03-02 12:11:55,886 - mmdet - INFO - Epoch [1][2600/6400]   lr: 5.000e-03, eta: 7:02:49, time: 0.336, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1526, loss_rpn_bbox: 0.2050, loss_cls: 0.2429, acc: 93.5312, loss_bbox: 0.2061, loss: 0.8065, grad_norm: 4.3496
2022-03-02 12:12:14,726 - mmdet - INFO - Epoch [1][2650/6400]   lr: 5.000e-03, eta: 7:03:21, time: 0.377, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1042, loss_rpn_bbox: 0.2108, loss_cls: 0.2438, acc: 92.3477, loss_bbox: 0.2221, loss: 0.7809, grad_norm: 4.0866
2022-03-02 12:12:30,224 - mmdet - INFO - Epoch [1][2700/6400]   lr: 5.000e-03, eta: 7:02:19, time: 0.310, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1121, loss_rpn_bbox: 0.2108, loss_cls: 0.2718, acc: 92.4258, loss_bbox: 0.2515, loss: 0.8462, grad_norm: 3.8802
2022-03-02 12:12:44,463 - mmdet - INFO - Epoch [1][2750/6400]   lr: 5.000e-03, eta: 7:00:45, time: 0.285, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1125, loss_rpn_bbox: 0.2229, loss_cls: 0.2559, acc: 92.5859, loss_bbox: 0.2407, loss: 0.8320, grad_norm: 3.9416
2022-03-02 12:12:58,841 - mmdet - INFO - Epoch [1][2800/6400]   lr: 5.000e-03, eta: 6:59:17, time: 0.288, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1107, loss_rpn_bbox: 0.1788, loss_cls: 0.2089, acc: 93.7344, loss_bbox: 0.2080, loss: 0.7064, grad_norm: 3.3517
2022-03-02 12:13:16,886 - mmdet - INFO - Epoch [1][2850/6400]   lr: 5.000e-03, eta: 6:59:28, time: 0.361, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1049, loss_rpn_bbox: 0.2278, loss_cls: 0.2647, acc: 92.2539, loss_bbox: 0.2583, loss: 0.8556, grad_norm: 3.7616
2022-03-02 12:13:32,447 - mmdet - INFO - Epoch [1][2900/6400]   lr: 5.000e-03, eta: 6:58:33, time: 0.311, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1116, loss_rpn_bbox: 0.2469, loss_cls: 0.2352, acc: 92.9004, loss_bbox: 0.2599, loss: 0.8536, grad_norm: 4.2074
2022-03-02 12:13:48,048 - mmdet - INFO - Epoch [1][2950/6400]   lr: 5.000e-03, eta: 6:57:42, time: 0.312, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1051, loss_rpn_bbox: 0.1832, loss_cls: 0.2203, acc: 93.6758, loss_bbox: 0.2214, loss: 0.7299, grad_norm: 3.5263
2022-03-02 12:14:05,423 - mmdet - INFO - Epoch [1][3000/6400]   lr: 5.000e-03, eta: 6:57:35, time: 0.347, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1231, loss_rpn_bbox: 0.2296, loss_cls: 0.2231, acc: 93.5488, loss_bbox: 0.2249, loss: 0.8007, grad_norm: 4.0439
2022-03-02 12:14:21,556 - mmdet - INFO - Epoch [1][3050/6400]   lr: 5.000e-03, eta: 6:56:57, time: 0.323, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1171, loss_rpn_bbox: 0.2475, loss_cls: 0.2659, acc: 91.8906, loss_bbox: 0.3176, loss: 0.9480, grad_norm: 4.3066
2022-03-02 12:14:35,742 - mmdet - INFO - Epoch [1][3100/6400]   lr: 5.000e-03, eta: 6:55:34, time: 0.284, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1369, loss_rpn_bbox: 0.1938, loss_cls: 0.2493, acc: 93.2148, loss_bbox: 0.2355, loss: 0.8155, grad_norm: 4.0966
2022-03-02 12:14:53,666 - mmdet - INFO - Epoch [1][3150/6400]   lr: 5.000e-03, eta: 6:55:41, time: 0.358, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1159, loss_rpn_bbox: 0.2934, loss_cls: 0.2659, acc: 91.7070, loss_bbox: 0.2817, loss: 0.9568, grad_norm: 5.2147
2022-03-02 12:15:10,733 - mmdet - INFO - Epoch [1][3200/6400]   lr: 5.000e-03, eta: 6:55:27, time: 0.341, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1319, loss_rpn_bbox: 0.2840, loss_cls: 0.2273, acc: 93.1934, loss_bbox: 0.2378, loss: 0.8810, grad_norm: 4.1321
2022-03-02 12:15:27,689 - mmdet - INFO - Epoch [1][3250/6400]   lr: 5.000e-03, eta: 6:55:11, time: 0.339, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1274, loss_rpn_bbox: 0.2089, loss_cls: 0.2315, acc: 94.1699, loss_bbox: 0.2073, loss: 0.7751, grad_norm: 4.2572
2022-03-02 12:15:44,899 - mmdet - INFO - Epoch [1][3300/6400]   lr: 5.000e-03, eta: 6:55:00, time: 0.344, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1569, loss_rpn_bbox: 0.2542, loss_cls: 0.2388, acc: 92.8223, loss_bbox: 0.2547, loss: 0.9046, grad_norm: 4.5817
2022-03-02 12:16:01,464 - mmdet - INFO - Epoch [1][3350/6400]   lr: 5.000e-03, eta: 6:54:35, time: 0.331, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1383, loss_rpn_bbox: 0.2281, loss_cls: 0.1988, acc: 93.8340, loss_bbox: 0.2310, loss: 0.7962, grad_norm: 4.0543
2022-03-02 12:16:16,884 - mmdet - INFO - Epoch [1][3400/6400]   lr: 5.000e-03, eta: 6:53:45, time: 0.308, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1363, loss_rpn_bbox: 0.1915, loss_cls: 0.2354, acc: 92.9258, loss_bbox: 0.2248, loss: 0.7880, grad_norm: 3.7866
2022-03-02 12:16:34,542 - mmdet - INFO - Epoch [1][3450/6400]   lr: 5.000e-03, eta: 6:53:44, time: 0.353, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1751, loss_rpn_bbox: 0.2926, loss_cls: 0.2871, acc: 91.8574, loss_bbox: 0.2661, loss: 1.0209, grad_norm: 5.4542
2022-03-02 12:16:48,959 - mmdet - INFO - Epoch [1][3500/6400]   lr: 5.000e-03, eta: 6:52:35, time: 0.288, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1512, loss_rpn_bbox: 0.2457, loss_cls: 0.1945, acc: 94.4863, loss_bbox: 0.1927, loss: 0.7842, grad_norm: 4.0100
2022-03-02 12:17:04,511 - mmdet - INFO - Epoch [1][3550/6400]   lr: 5.000e-03, eta: 6:51:50, time: 0.311, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1095, loss_rpn_bbox: 0.1965, loss_cls: 0.2307, acc: 93.2031, loss_bbox: 0.2485, loss: 0.7852, grad_norm: 4.0256
2022-03-02 12:17:19,957 - mmdet - INFO - Epoch [1][3600/6400]   lr: 5.000e-03, eta: 6:51:05, time: 0.309, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1067, loss_rpn_bbox: 0.2081, loss_cls: 0.2160, acc: 93.6855, loss_bbox: 0.2557, loss: 0.7865, grad_norm: 3.6567
2022-03-02 12:17:36,174 - mmdet - INFO - Epoch [1][3650/6400]   lr: 5.000e-03, eta: 6:50:35, time: 0.324, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1086, loss_rpn_bbox: 0.2444, loss_cls: 0.2683, acc: 92.7793, loss_bbox: 0.2911, loss: 0.9124, grad_norm: 4.0731
2022-03-02 12:17:51,769 - mmdet - INFO - Epoch [1][3700/6400]   lr: 5.000e-03, eta: 6:49:54, time: 0.312, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1412, loss_rpn_bbox: 0.1914, loss_cls: 0.2103, acc: 94.1387, loss_bbox: 0.2124, loss: 0.7552, grad_norm: 3.8386
2022-03-02 12:18:07,432 - mmdet - INFO - Epoch [1][3750/6400]   lr: 5.000e-03, eta: 6:49:14, time: 0.313, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1303, loss_rpn_bbox: 0.2458, loss_cls: 0.2589, acc: 92.9727, loss_bbox: 0.2170, loss: 0.8520, grad_norm: 4.6605
2022-03-02 12:18:21,750 - mmdet - INFO - Epoch [1][3800/6400]   lr: 5.000e-03, eta: 6:48:10, time: 0.286, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1200, loss_rpn_bbox: 0.2309, loss_cls: 0.2628, acc: 92.1172, loss_bbox: 0.2712, loss: 0.8849, grad_norm: 4.0435
2022-03-02 12:18:37,804 - mmdet - INFO - Epoch [1][3850/6400]   lr: 5.000e-03, eta: 6:47:39, time: 0.321, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1050, loss_rpn_bbox: 0.1858, loss_cls: 0.2243, acc: 93.2148, loss_bbox: 0.2229, loss: 0.7379, grad_norm: 3.5218
2022-03-02 12:18:52,083 - mmdet - INFO - Epoch [1][3900/6400]   lr: 5.000e-03, eta: 6:46:36, time: 0.286, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1314, loss_rpn_bbox: 0.2155, loss_cls: 0.2110, acc: 93.9414, loss_bbox: 0.2015, loss: 0.7594, grad_norm: 3.9217
2022-03-02 12:19:07,670 - mmdet - INFO - Epoch [1][3950/6400]   lr: 5.000e-03, eta: 6:45:58, time: 0.312, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.1083, loss_rpn_bbox: 0.1911, loss_cls: 0.2290, acc: 92.7637, loss_bbox: 0.2336, loss: 0.7620, grad_norm: 3.6658
2022-03-02 12:19:21,871 - mmdet - INFO - Epoch [1][4000/6400]   lr: 5.000e-03, eta: 6:44:56, time: 0.284, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1301, loss_rpn_bbox: 0.1862, loss_cls: 0.2212, acc: 93.4570, loss_bbox: 0.2202, loss: 0.7577, grad_norm: 4.0380
2022-03-02 12:19:37,770 - mmdet - INFO - Epoch [1][4050/6400]   lr: 5.000e-03, eta: 6:44:25, time: 0.318, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1075, loss_rpn_bbox: 0.2014, loss_cls: 0.2177, acc: 93.6133, loss_bbox: 0.2289, loss: 0.7555, grad_norm: 3.7945
2022-03-02 12:19:54,655 - mmdet - INFO - Epoch [1][4100/6400]   lr: 5.000e-03, eta: 6:44:12, time: 0.338, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1002, loss_rpn_bbox: 0.1773, loss_cls: 0.2110, acc: 94.0723, loss_bbox: 0.1935, loss: 0.6820, grad_norm: 3.7460
2022-03-02 12:20:12,968 - mmdet - INFO - Epoch [1][4150/6400]   lr: 5.000e-03, eta: 6:44:24, time: 0.366, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1251, loss_rpn_bbox: 0.2587, loss_cls: 0.2845, acc: 91.7129, loss_bbox: 0.2312, loss: 0.8995, grad_norm: 4.7545
2022-03-02 12:20:27,235 - mmdet - INFO - Epoch [1][4200/6400]   lr: 5.000e-03, eta: 6:43:25, time: 0.285, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1488, loss_rpn_bbox: 0.2204, loss_cls: 0.2005, acc: 94.3145, loss_bbox: 0.1746, loss: 0.7443, grad_norm: 4.2212
2022-03-02 12:20:43,150 - mmdet - INFO - Epoch [1][4250/6400]   lr: 5.000e-03, eta: 6:42:55, time: 0.318, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1207, loss_rpn_bbox: 0.2163, loss_cls: 0.2218, acc: 93.1953, loss_bbox: 0.2132, loss: 0.7719, grad_norm: 3.9381
2022-03-02 12:20:57,602 - mmdet - INFO - Epoch [1][4300/6400]   lr: 5.000e-03, eta: 6:42:01, time: 0.289, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1259, loss_rpn_bbox: 0.2380, loss_cls: 0.2224, acc: 93.7676, loss_bbox: 0.2353, loss: 0.8217, grad_norm: 4.2609
2022-03-02 12:21:12,821 - mmdet - INFO - Epoch [1][4350/6400]   lr: 5.000e-03, eta: 6:41:21, time: 0.304, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1144, loss_rpn_bbox: 0.2477, loss_cls: 0.2108, acc: 93.4473, loss_bbox: 0.2426, loss: 0.8155, grad_norm: 4.0310
2022-03-02 12:21:29,198 - mmdet - INFO - Epoch [1][4400/6400]   lr: 5.000e-03, eta: 6:41:00, time: 0.328, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1220, loss_rpn_bbox: 0.2157, loss_cls: 0.2200, acc: 93.2930, loss_bbox: 0.2092, loss: 0.7669, grad_norm: 3.8608
2022-03-02 12:21:45,209 - mmdet - INFO - Epoch [1][4450/6400]   lr: 5.000e-03, eta: 6:40:34, time: 0.320, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1278, loss_rpn_bbox: 0.2213, loss_cls: 0.2130, acc: 93.3301, loss_bbox: 0.2578, loss: 0.8199, grad_norm: 3.6383
2022-03-02 12:21:59,558 - mmdet - INFO - Epoch [1][4500/6400]   lr: 5.000e-03, eta: 6:39:41, time: 0.287, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1058, loss_rpn_bbox: 0.2691, loss_cls: 0.2091, acc: 93.3965, loss_bbox: 0.2366, loss: 0.8206, grad_norm: 3.6957
2022-03-02 12:22:15,245 - mmdet - INFO - Epoch [1][4550/6400]   lr: 5.000e-03, eta: 6:39:10, time: 0.314, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1389, loss_rpn_bbox: 0.2758, loss_cls: 0.2502, acc: 91.7578, loss_bbox: 0.2681, loss: 0.9330, grad_norm: 5.0398
2022-03-02 12:22:29,547 - mmdet - INFO - Epoch [1][4600/6400]   lr: 5.000e-03, eta: 6:38:18, time: 0.286, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0941, loss_rpn_bbox: 0.2002, loss_cls: 0.1945, acc: 93.5449, loss_bbox: 0.2235, loss: 0.7123, grad_norm: 3.4135
2022-03-02 12:22:45,244 - mmdet - INFO - Epoch [1][4650/6400]   lr: 5.000e-03, eta: 6:37:48, time: 0.314, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.1027, loss_rpn_bbox: 0.2264, loss_cls: 0.2039, acc: 93.5293, loss_bbox: 0.2730, loss: 0.8060, grad_norm: 3.7530
2022-03-02 12:23:02,559 - mmdet - INFO - Epoch [1][4700/6400]   lr: 5.000e-03, eta: 6:37:44, time: 0.346, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0951, loss_rpn_bbox: 0.2079, loss_cls: 0.2437, acc: 92.1895, loss_bbox: 0.2668, loss: 0.8136, grad_norm: 3.6712
2022-03-02 12:23:18,562 - mmdet - INFO - Epoch [1][4750/6400]   lr: 5.000e-03, eta: 6:37:19, time: 0.320, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1032, loss_rpn_bbox: 0.1727, loss_cls: 0.2402, acc: 92.3223, loss_bbox: 0.2266, loss: 0.7427, grad_norm: 3.7325
2022-03-02 12:23:34,356 - mmdet - INFO - Epoch [1][4800/6400]   lr: 5.000e-03, eta: 6:36:51, time: 0.316, data_time: 0.017, memory: 4760, loss_rpn_cls: 0.0889, loss_rpn_bbox: 0.1841, loss_cls: 0.2224, acc: 92.7539, loss_bbox: 0.2356, loss: 0.7310, grad_norm: 3.7742
2022-03-02 12:23:52,233 - mmdet - INFO - Epoch [1][4850/6400]   lr: 5.000e-03, eta: 6:36:54, time: 0.358, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0882, loss_rpn_bbox: 0.1910, loss_cls: 0.2608, acc: 91.9824, loss_bbox: 0.2394, loss: 0.7794, grad_norm: 3.8666
2022-03-02 12:24:07,757 - mmdet - INFO - Epoch [1][4900/6400]   lr: 5.000e-03, eta: 6:36:23, time: 0.310, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1136, loss_rpn_bbox: 0.1684, loss_cls: 0.1885, acc: 94.4688, loss_bbox: 0.1715, loss: 0.6420, grad_norm: 3.4047
2022-03-02 12:24:23,342 - mmdet - INFO - Epoch [1][4950/6400]   lr: 5.000e-03, eta: 6:35:52, time: 0.312, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1094, loss_rpn_bbox: 0.1801, loss_cls: 0.2118, acc: 93.6133, loss_bbox: 0.2248, loss: 0.7261, grad_norm: 3.5242
2022-03-02 12:24:38,856 - mmdet - INFO - Epoch [1][5000/6400]   lr: 5.000e-03, eta: 6:35:21, time: 0.310, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0988, loss_rpn_bbox: 0.2082, loss_cls: 0.2401, acc: 92.4023, loss_bbox: 0.2218, loss: 0.7689, grad_norm: 3.7528
2022-03-02 12:24:53,301 - mmdet - INFO - Epoch [1][5050/6400]   lr: 5.000e-03, eta: 6:34:35, time: 0.289, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0976, loss_rpn_bbox: 0.1913, loss_cls: 0.2148, acc: 93.1348, loss_bbox: 0.1979, loss: 0.7015, grad_norm: 3.5286
2022-03-02 12:25:11,262 - mmdet - INFO - Epoch [1][5100/6400]   lr: 5.000e-03, eta: 6:34:39, time: 0.359, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0978, loss_rpn_bbox: 0.2501, loss_cls: 0.2266, acc: 92.5410, loss_bbox: 0.2320, loss: 0.8065, grad_norm: 3.8582
2022-03-02 12:25:29,539 - mmdet - INFO - Epoch [1][5150/6400]   lr: 5.000e-03, eta: 6:34:47, time: 0.366, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0857, loss_rpn_bbox: 0.1844, loss_cls: 0.2187, acc: 93.2871, loss_bbox: 0.2126, loss: 0.7015, grad_norm: 3.3395
2022-03-02 12:25:45,125 - mmdet - INFO - Epoch [1][5200/6400]   lr: 5.000e-03, eta: 6:34:18, time: 0.312, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0924, loss_rpn_bbox: 0.1762, loss_cls: 0.2121, acc: 93.5664, loss_bbox: 0.2344, loss: 0.7151, grad_norm: 3.7469
2022-03-02 12:26:02,836 - mmdet - INFO - Epoch [1][5250/6400]   lr: 5.000e-03, eta: 6:34:17, time: 0.354, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0977, loss_rpn_bbox: 0.1960, loss_cls: 0.2218, acc: 92.7051, loss_bbox: 0.2277, loss: 0.7432, grad_norm: 3.6408
2022-03-02 12:26:17,134 - mmdet - INFO - Epoch [1][5300/6400]   lr: 5.000e-03, eta: 6:33:31, time: 0.286, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1039, loss_rpn_bbox: 0.2101, loss_cls: 0.2810, acc: 91.4082, loss_bbox: 0.2669, loss: 0.8618, grad_norm: 4.1820
2022-03-02 12:26:31,654 - mmdet - INFO - Epoch [1][5350/6400]   lr: 5.000e-03, eta: 6:32:48, time: 0.290, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0761, loss_rpn_bbox: 0.2012, loss_cls: 0.2543, acc: 91.9551, loss_bbox: 0.2308, loss: 0.7623, grad_norm: 3.8970
2022-03-02 12:26:48,297 - mmdet - INFO - Epoch [1][5400/6400]   lr: 5.000e-03, eta: 6:32:33, time: 0.333, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0836, loss_rpn_bbox: 0.1999, loss_cls: 0.2361, acc: 92.4805, loss_bbox: 0.2213, loss: 0.7408, grad_norm: 3.7214
2022-03-02 12:27:03,810 - mmdet - INFO - Epoch [1][5450/6400]   lr: 5.000e-03, eta: 6:32:04, time: 0.310, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0864, loss_rpn_bbox: 0.1683, loss_cls: 0.2225, acc: 92.9258, loss_bbox: 0.2422, loss: 0.7194, grad_norm: 3.4976
2022-03-02 12:27:20,750 - mmdet - INFO - Epoch [1][5500/6400]   lr: 5.000e-03, eta: 6:31:53, time: 0.339, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1192, loss_rpn_bbox: 0.1978, loss_cls: 0.2240, acc: 92.8203, loss_bbox: 0.2136, loss: 0.7545, grad_norm: 3.7100
2022-03-02 12:27:36,578 - mmdet - INFO - Epoch [1][5550/6400]   lr: 5.000e-03, eta: 6:31:28, time: 0.317, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0936, loss_rpn_bbox: 0.1856, loss_cls: 0.2193, acc: 92.6504, loss_bbox: 0.2221, loss: 0.7205, grad_norm: 3.6673
2022-03-02 12:27:57,338 - mmdet - INFO - Epoch [1][5600/6400]   lr: 5.000e-03, eta: 6:32:06, time: 0.415, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.0873, loss_rpn_bbox: 0.1901, loss_cls: 0.2158, acc: 93.0625, loss_bbox: 0.2156, loss: 0.7088, grad_norm: 3.7513
2022-03-02 12:28:11,684 - mmdet - INFO - Epoch [1][5650/6400]   lr: 5.000e-03, eta: 6:31:22, time: 0.287, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1176, loss_rpn_bbox: 0.1810, loss_cls: 0.2155, acc: 92.7910, loss_bbox: 0.2260, loss: 0.7401, grad_norm: 4.2809
2022-03-02 12:28:27,139 - mmdet - INFO - Epoch [1][5700/6400]   lr: 5.000e-03, eta: 6:30:53, time: 0.309, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1238, loss_rpn_bbox: 0.1867, loss_cls: 0.2452, acc: 92.4883, loss_bbox: 0.2006, loss: 0.7563, grad_norm: 4.1649
2022-03-02 12:28:43,501 - mmdet - INFO - Epoch [1][5750/6400]   lr: 5.000e-03, eta: 6:30:34, time: 0.327, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0828, loss_rpn_bbox: 0.1690, loss_cls: 0.2552, acc: 91.7812, loss_bbox: 0.2506, loss: 0.7577, grad_norm: 3.5513
2022-03-02 12:29:01,251 - mmdet - INFO - Epoch [1][5800/6400]   lr: 5.000e-03, eta: 6:30:33, time: 0.355, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1203, loss_rpn_bbox: 0.2186, loss_cls: 0.2687, acc: 91.6875, loss_bbox: 0.2253, loss: 0.8329, grad_norm: 4.3619
2022-03-02 12:29:18,706 - mmdet - INFO - Epoch [1][5850/6400]   lr: 5.000e-03, eta: 6:30:28, time: 0.349, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0921, loss_rpn_bbox: 0.1442, loss_cls: 0.2072, acc: 93.4258, loss_bbox: 0.1816, loss: 0.6250, grad_norm: 3.5660
2022-03-02 12:29:33,011 - mmdet - INFO - Epoch [1][5900/6400]   lr: 5.000e-03, eta: 6:29:45, time: 0.286, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0856, loss_rpn_bbox: 0.1791, loss_cls: 0.2501, acc: 91.8223, loss_bbox: 0.2557, loss: 0.7705, grad_norm: 3.9135
2022-03-02 12:29:47,266 - mmdet - INFO - Epoch [1][5950/6400]   lr: 5.000e-03, eta: 6:29:02, time: 0.285, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.0956, loss_rpn_bbox: 0.1897, loss_cls: 0.2117, acc: 92.8750, loss_bbox: 0.2037, loss: 0.7007, grad_norm: 3.7424
2022-03-02 12:30:04,161 - mmdet - INFO - Epoch [1][6000/6400]   lr: 5.000e-03, eta: 6:28:51, time: 0.338, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1244, loss_rpn_bbox: 0.2284, loss_cls: 0.2215, acc: 92.6094, loss_bbox: 0.2169, loss: 0.7912, grad_norm: 4.4534
2022-03-02 12:30:18,688 - mmdet - INFO - Epoch [1][6050/6400]   lr: 5.000e-03, eta: 6:28:11, time: 0.291, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1006, loss_rpn_bbox: 0.1760, loss_cls: 0.2352, acc: 92.6895, loss_bbox: 0.2209, loss: 0.7327, grad_norm: 3.8022
2022-03-02 12:30:33,083 - mmdet - INFO - Epoch [1][6100/6400]   lr: 5.000e-03, eta: 6:27:31, time: 0.288, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0828, loss_rpn_bbox: 0.1326, loss_cls: 0.2124, acc: 93.1777, loss_bbox: 0.2003, loss: 0.6280, grad_norm: 3.4631
2022-03-02 12:30:52,054 - mmdet - INFO - Epoch [1][6150/6400]   lr: 5.000e-03, eta: 6:27:44, time: 0.379, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1012, loss_rpn_bbox: 0.2237, loss_cls: 0.2482, acc: 91.7188, loss_bbox: 0.2271, loss: 0.8001, grad_norm: 4.0094
2022-03-02 12:31:08,565 - mmdet - INFO - Epoch [1][6200/6400]   lr: 5.000e-03, eta: 6:27:28, time: 0.330, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.0873, loss_rpn_bbox: 0.1973, loss_cls: 0.2055, acc: 93.0840, loss_bbox: 0.2097, loss: 0.6998, grad_norm: 3.7299
2022-03-02 12:31:22,972 - mmdet - INFO - Epoch [1][6250/6400]   lr: 5.000e-03, eta: 6:26:48, time: 0.288, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1277, loss_rpn_bbox: 0.2326, loss_cls: 0.2277, acc: 92.3711, loss_bbox: 0.2294, loss: 0.8174, grad_norm: 4.3572
2022-03-02 12:31:39,694 - mmdet - INFO - Epoch [1][6300/6400]   lr: 5.000e-03, eta: 6:26:35, time: 0.334, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1033, loss_rpn_bbox: 0.2158, loss_cls: 0.2172, acc: 92.9824, loss_bbox: 0.2196, loss: 0.7558, grad_norm: 3.7817
2022-03-02 12:31:57,842 - mmdet - INFO - Epoch [1][6350/6400]   lr: 5.000e-03, eta: 6:26:37, time: 0.363, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0847, loss_rpn_bbox: 0.1985, loss_cls: 0.2451, acc: 92.1875, loss_bbox: 0.2379, loss: 0.7662, grad_norm: 3.8429
2022-03-02 12:32:14,267 - mmdet - INFO - Epoch [1][6400/6400]   lr: 5.000e-03, eta: 6:26:20, time: 0.328, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1064, loss_rpn_bbox: 0.1728, loss_cls: 0.2271, acc: 93.1660, loss_bbox: 0.1935, loss: 0.6998, grad_norm: 3.8966
2022-03-02 12:32:14,855 - mmdet - INFO - Saving checkpoint at 1 epochs
2022-03-02 12:33:28,204 - mmdet - INFO - Epoch [2][50/6400] lr: 5.000e-03, eta: 6:35:57, time: 1.417, data_time: 1.037, memory: 4760, loss_rpn_cls: 0.0787, loss_rpn_bbox: 0.1907, loss_cls: 0.2234, acc: 92.5723, loss_bbox: 0.2509, loss: 0.7438, grad_norm: 3.5577
2022-03-02 12:33:42,590 - mmdet - INFO - Epoch [2][100/6400]    lr: 5.000e-03, eta: 6:35:13, time: 0.288, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0840, loss_rpn_bbox: 0.1719, loss_cls: 0.2179, acc: 92.9316, loss_bbox: 0.2269, loss: 0.7008, grad_norm: 3.3796
2022-03-02 12:33:58,737 - mmdet - INFO - Epoch [2][150/6400]    lr: 5.000e-03, eta: 6:34:49, time: 0.323, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0857, loss_rpn_bbox: 0.2015, loss_cls: 0.2570, acc: 91.4805, loss_bbox: 0.2171, loss: 0.7613, grad_norm: 3.6752
2022-03-02 12:34:16,113 - mmdet - INFO - Epoch [2][200/6400]    lr: 5.000e-03, eta: 6:34:37, time: 0.348, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0860, loss_rpn_bbox: 0.1732, loss_cls: 0.2036, acc: 93.4746, loss_bbox: 0.1937, loss: 0.6565, grad_norm: 3.6744
2022-03-02 12:34:33,188 - mmdet - INFO - Epoch [2][250/6400]    lr: 5.000e-03, eta: 6:34:23, time: 0.341, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0957, loss_rpn_bbox: 0.2175, loss_cls: 0.2478, acc: 92.2676, loss_bbox: 0.2532, loss: 0.8143, grad_norm: 4.0435
2022-03-02 12:34:47,491 - mmdet - INFO - Epoch [2][300/6400]    lr: 5.000e-03, eta: 6:33:39, time: 0.286, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0939, loss_rpn_bbox: 0.1936, loss_cls: 0.2046, acc: 93.3730, loss_bbox: 0.2160, loss: 0.7080, grad_norm: 3.8282
2022-03-02 12:35:03,478 - mmdet - INFO - Epoch [2][350/6400]    lr: 5.000e-03, eta: 6:33:13, time: 0.320, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0807, loss_rpn_bbox: 0.1701, loss_cls: 0.2360, acc: 92.0352, loss_bbox: 0.2199, loss: 0.7067, grad_norm: 3.5515
2022-03-02 12:35:18,265 - mmdet - INFO - Epoch [2][400/6400]    lr: 5.000e-03, eta: 6:32:35, time: 0.296, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0953, loss_rpn_bbox: 0.1785, loss_cls: 0.2228, acc: 92.4570, loss_bbox: 0.2058, loss: 0.7024, grad_norm: 4.0005
2022-03-02 12:35:34,028 - mmdet - INFO - Epoch [2][450/6400]    lr: 5.000e-03, eta: 6:32:07, time: 0.315, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0939, loss_rpn_bbox: 0.2030, loss_cls: 0.2447, acc: 92.0215, loss_bbox: 0.2571, loss: 0.7986, grad_norm: 3.8159
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2022-03-02 18:46:33,876 - mmdet - INFO - Epoch [12][4550/6400]  lr: 5.000e-05, eta: 0:10:05, time: 0.304, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0740, loss_cls: 0.1373, acc: 94.3633, loss_bbox: 0.1284, loss: 0.3607, grad_norm: 2.6691
2022-03-02 18:46:49,469 - mmdet - INFO - Epoch [12][4600/6400]  lr: 5.000e-05, eta: 0:09:49, time: 0.312, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0654, loss_cls: 0.1403, acc: 94.2715, loss_bbox: 0.1246, loss: 0.3509, grad_norm: 2.5982
2022-03-02 18:47:04,646 - mmdet - INFO - Epoch [12][4650/6400]  lr: 5.000e-05, eta: 0:09:32, time: 0.304, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0617, loss_cls: 0.1187, acc: 95.3574, loss_bbox: 0.1079, loss: 0.3095, grad_norm: 2.2876
2022-03-02 18:47:20,316 - mmdet - INFO - Epoch [12][4700/6400]  lr: 5.000e-05, eta: 0:09:16, time: 0.313, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0679, loss_cls: 0.1287, acc: 94.9238, loss_bbox: 0.1263, loss: 0.3429, grad_norm: 2.5392
2022-03-02 18:47:35,603 - mmdet - INFO - Epoch [12][4750/6400]  lr: 5.000e-05, eta: 0:09:00, time: 0.306, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0440, loss_cls: 0.1239, acc: 95.0059, loss_bbox: 0.1019, loss: 0.2880, grad_norm: 2.2659
2022-03-02 18:47:51,371 - mmdet - INFO - Epoch [12][4800/6400]  lr: 5.000e-05, eta: 0:08:43, time: 0.315, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0807, loss_cls: 0.1406, acc: 94.5859, loss_bbox: 0.1295, loss: 0.3732, grad_norm: 2.8388
2022-03-02 18:48:09,971 - mmdet - INFO - Epoch [12][4850/6400]  lr: 5.000e-05, eta: 0:08:27, time: 0.372, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0489, loss_cls: 0.1103, acc: 95.7695, loss_bbox: 0.1033, loss: 0.2768, grad_norm: 2.1247
2022-03-02 18:48:25,375 - mmdet - INFO - Epoch [12][4900/6400]  lr: 5.000e-05, eta: 0:08:10, time: 0.308, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0761, loss_cls: 0.1330, acc: 94.7070, loss_bbox: 0.1194, loss: 0.3476, grad_norm: 2.4813
2022-03-02 18:48:42,348 - mmdet - INFO - Epoch [12][4950/6400]  lr: 5.000e-05, eta: 0:07:54, time: 0.339, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0662, loss_cls: 0.1231, acc: 95.0391, loss_bbox: 0.1186, loss: 0.3247, grad_norm: 2.3638
2022-03-02 18:48:56,689 - mmdet - INFO - Epoch [12][5000/6400]  lr: 5.000e-05, eta: 0:07:38, time: 0.287, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0635, loss_cls: 0.1313, acc: 94.6602, loss_bbox: 0.1185, loss: 0.3292, grad_norm: 2.5554
2022-03-02 18:49:11,227 - mmdet - INFO - Epoch [12][5050/6400]  lr: 5.000e-05, eta: 0:07:21, time: 0.291, data_time: 0.015, memory: 4760, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0661, loss_cls: 0.1357, acc: 94.6152, loss_bbox: 0.1181, loss: 0.3431, grad_norm: 2.5501
2022-03-02 18:49:28,431 - mmdet - INFO - Epoch [12][5100/6400]  lr: 5.000e-05, eta: 0:07:05, time: 0.344, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0655, loss_cls: 0.1331, acc: 94.5586, loss_bbox: 0.1145, loss: 0.3382, grad_norm: 2.6655
2022-03-02 18:49:49,836 - mmdet - INFO - Epoch [12][5150/6400]  lr: 5.000e-05, eta: 0:06:49, time: 0.428, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0629, loss_cls: 0.1303, acc: 94.9082, loss_bbox: 0.1225, loss: 0.3382, grad_norm: 2.5446
2022-03-02 18:50:07,950 - mmdet - INFO - Epoch [12][5200/6400]  lr: 5.000e-05, eta: 0:06:32, time: 0.362, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0734, loss_cls: 0.1341, acc: 94.6738, loss_bbox: 0.1224, loss: 0.3508, grad_norm: 2.8119
2022-03-02 18:50:27,820 - mmdet - INFO - Epoch [12][5250/6400]  lr: 5.000e-05, eta: 0:06:16, time: 0.397, data_time: 0.019, memory: 4760, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0499, loss_cls: 0.1132, acc: 95.4219, loss_bbox: 0.1030, loss: 0.2845, grad_norm: 2.2307
2022-03-02 18:50:43,310 - mmdet - INFO - Epoch [12][5300/6400]  lr: 5.000e-05, eta: 0:06:00, time: 0.310, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0577, loss_cls: 0.1340, acc: 94.7949, loss_bbox: 0.1181, loss: 0.3350, grad_norm: 2.5764
2022-03-02 18:50:58,815 - mmdet - INFO - Epoch [12][5350/6400]  lr: 5.000e-05, eta: 0:05:43, time: 0.310, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0552, loss_cls: 0.1302, acc: 94.7422, loss_bbox: 0.1145, loss: 0.3217, grad_norm: 2.4304
2022-03-02 18:51:17,026 - mmdet - INFO - Epoch [12][5400/6400]  lr: 5.000e-05, eta: 0:05:27, time: 0.364, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0649, loss_cls: 0.1399, acc: 94.5176, loss_bbox: 0.1218, loss: 0.3480, grad_norm: 2.5169
2022-03-02 18:51:31,324 - mmdet - INFO - Epoch [12][5450/6400]  lr: 5.000e-05, eta: 0:05:11, time: 0.286, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0697, loss_cls: 0.1327, acc: 94.7012, loss_bbox: 0.1215, loss: 0.3445, grad_norm: 2.5896
2022-03-02 18:51:46,887 - mmdet - INFO - Epoch [12][5500/6400]  lr: 5.000e-05, eta: 0:04:54, time: 0.311, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0624, loss_cls: 0.1235, acc: 95.1348, loss_bbox: 0.1033, loss: 0.3079, grad_norm: 2.4261
2022-03-02 18:52:02,288 - mmdet - INFO - Epoch [12][5550/6400]  lr: 5.000e-05, eta: 0:04:38, time: 0.308, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0700, loss_cls: 0.1391, acc: 94.7109, loss_bbox: 0.1199, loss: 0.3519, grad_norm: 2.4458
2022-03-02 18:52:17,825 - mmdet - INFO - Epoch [12][5600/6400]  lr: 5.000e-05, eta: 0:04:21, time: 0.311, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0531, loss_cls: 0.1315, acc: 94.8223, loss_bbox: 0.1152, loss: 0.3188, grad_norm: 2.4173
2022-03-02 18:52:33,452 - mmdet - INFO - Epoch [12][5650/6400]  lr: 5.000e-05, eta: 0:04:05, time: 0.313, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0700, loss_cls: 0.1302, acc: 94.7969, loss_bbox: 0.1267, loss: 0.3474, grad_norm: 2.6424
2022-03-02 18:52:48,933 - mmdet - INFO - Epoch [12][5700/6400]  lr: 5.000e-05, eta: 0:03:49, time: 0.310, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0747, loss_cls: 0.1250, acc: 95.0488, loss_bbox: 0.1143, loss: 0.3331, grad_norm: 2.4032
2022-03-02 18:53:04,988 - mmdet - INFO - Epoch [12][5750/6400]  lr: 5.000e-05, eta: 0:03:32, time: 0.321, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0492, loss_cls: 0.1136, acc: 95.6504, loss_bbox: 0.1046, loss: 0.2857, grad_norm: 2.2703
2022-03-02 18:53:23,001 - mmdet - INFO - Epoch [12][5800/6400]  lr: 5.000e-05, eta: 0:03:16, time: 0.360, data_time: 0.014, memory: 4760, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0469, loss_cls: 0.1162, acc: 95.3672, loss_bbox: 0.0993, loss: 0.2786, grad_norm: 2.2873
2022-03-02 18:53:41,077 - mmdet - INFO - Epoch [12][5850/6400]  lr: 5.000e-05, eta: 0:03:00, time: 0.362, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0605, loss_cls: 0.1365, acc: 94.7910, loss_bbox: 0.1147, loss: 0.3324, grad_norm: 2.5827
2022-03-02 18:54:01,784 - mmdet - INFO - Epoch [12][5900/6400]  lr: 5.000e-05, eta: 0:02:43, time: 0.414, data_time: 0.141, memory: 4760, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0449, loss_cls: 0.1251, acc: 95.0176, loss_bbox: 0.1118, loss: 0.3012, grad_norm: 2.2902
2022-03-02 18:54:18,765 - mmdet - INFO - Epoch [12][5950/6400]  lr: 5.000e-05, eta: 0:02:27, time: 0.340, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0673, loss_cls: 0.1296, acc: 94.9199, loss_bbox: 0.1037, loss: 0.3193, grad_norm: 2.2767
2022-03-02 18:54:33,090 - mmdet - INFO - Epoch [12][6000/6400]  lr: 5.000e-05, eta: 0:02:10, time: 0.286, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0547, loss_cls: 0.1203, acc: 95.2207, loss_bbox: 0.1181, loss: 0.3082, grad_norm: 2.4060
2022-03-02 18:54:48,553 - mmdet - INFO - Epoch [12][6050/6400]  lr: 5.000e-05, eta: 0:01:54, time: 0.309, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0652, loss_cls: 0.1189, acc: 95.2676, loss_bbox: 0.1135, loss: 0.3154, grad_norm: 2.3796
2022-03-02 18:55:02,908 - mmdet - INFO - Epoch [12][6100/6400]  lr: 5.000e-05, eta: 0:01:38, time: 0.287, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0558, loss_cls: 0.1305, acc: 94.9121, loss_bbox: 0.1126, loss: 0.3175, grad_norm: 2.3744
2022-03-02 18:55:18,813 - mmdet - INFO - Epoch [12][6150/6400]  lr: 5.000e-05, eta: 0:01:21, time: 0.318, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0630, loss_cls: 0.1089, acc: 95.7285, loss_bbox: 0.1093, loss: 0.2973, grad_norm: 2.2709
2022-03-02 18:55:33,265 - mmdet - INFO - Epoch [12][6200/6400]  lr: 5.000e-05, eta: 0:01:05, time: 0.289, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0724, loss_cls: 0.1306, acc: 94.7871, loss_bbox: 0.1369, loss: 0.3576, grad_norm: 2.4291
2022-03-02 18:55:47,508 - mmdet - INFO - Epoch [12][6250/6400]  lr: 5.000e-05, eta: 0:00:49, time: 0.285, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0991, loss_cls: 0.1374, acc: 94.4609, loss_bbox: 0.1393, loss: 0.3972, grad_norm: 2.6051
2022-03-02 18:56:05,560 - mmdet - INFO - Epoch [12][6300/6400]  lr: 5.000e-05, eta: 0:00:32, time: 0.361, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0567, loss_cls: 0.1232, acc: 95.2305, loss_bbox: 0.1234, loss: 0.3188, grad_norm: 2.4849
2022-03-02 18:56:19,820 - mmdet - INFO - Epoch [12][6350/6400]  lr: 5.000e-05, eta: 0:00:16, time: 0.285, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0788, loss_cls: 0.1298, acc: 94.8750, loss_bbox: 0.1237, loss: 0.3502, grad_norm: 2.6399
2022-03-02 18:56:34,085 - mmdet - INFO - Epoch [12][6400/6400]  lr: 5.000e-05, eta: 0:00:00, time: 0.285, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0499, loss_cls: 0.1236, acc: 95.2656, loss_bbox: 0.1114, loss: 0.3031, grad_norm: 2.3303
2022-03-02 18:56:34,702 - mmdet - INFO - Saving checkpoint at 12 epochs
pUmpKin-Co commented 1 year ago

@pUmpKin-Co Well, I have no other suggestions, you can refer to the config (just find we have uploaded it...)

And here is the training log:

2022-03-02 11:56:51,948 - mmdet - INFO - load model from: /public/data3/users/wangdi153/RS_CV/pretrain_model/seco_resnet50_1m.pth
2022-03-02 11:56:52,796 - mmdet - WARNING - The model and loaded state dict do not match exactly

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

2022-03-02 11:57:06,889 - mmdet - INFO - Start running, host: wangdi153@gpu-11-71-1-138, work_dir: /public/data3/users/wangdi153/RS_CV/OBBDetection/work_dirs/faster/faster_rcnn_orpn_seco_r50_fpn_1x_dota10
2022-03-02 11:57:06,889 - mmdet - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH   ) StepLrUpdaterHook                  
(NORMAL      ) CheckpointHook                     
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_train_epoch:
(VERY_HIGH   ) StepLrUpdaterHook                  
(NORMAL      ) DistSamplerSeedHook                
(LOW         ) IterTimerHook                      
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_train_iter:
(VERY_HIGH   ) StepLrUpdaterHook                  
(LOW         ) IterTimerHook                      
 -------------------- 
after_train_iter:
(ABOVE_NORMAL) OptimizerHook                      
(NORMAL      ) CheckpointHook                     
(LOW         ) IterTimerHook                      
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
after_train_epoch:
(NORMAL      ) CheckpointHook                     
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_val_epoch:
(NORMAL      ) DistSamplerSeedHook                
(LOW         ) IterTimerHook                      
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_val_iter:
(LOW         ) IterTimerHook                      
 -------------------- 
after_val_iter:
(LOW         ) IterTimerHook                      
 -------------------- 
after_val_epoch:
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
2022-03-02 11:57:06,890 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2022-03-02 11:58:14,948 - mmdet - INFO - Epoch [1][50/6400]   lr: 4.945e-04, eta: 1 day, 5:00:51, time: 1.361, data_time: 1.077, memory: 4744, loss_rpn_cls: 0.7417, loss_rpn_bbox: 0.8708, loss_cls: 1.9198, acc: 86.4414, loss_bbox: 0.0581, loss: 3.5904, grad_norm: 174.4381
2022-03-02 11:58:34,236 - mmdet - INFO - Epoch [1][100/6400]  lr: 9.940e-04, eta: 18:36:25, time: 0.386, data_time: 0.012, memory: 4744, loss_rpn_cls: 0.4475, loss_rpn_bbox: 0.3673, loss_cls: 0.4667, acc: 92.7812, loss_bbox: 0.0835, loss: 1.3649, grad_norm: 18.2238
2022-03-02 11:58:52,206 - mmdet - INFO - Epoch [1][150/6400]  lr: 1.494e-03, eta: 14:56:50, time: 0.359, data_time: 0.011, memory: 4744, loss_rpn_cls: 0.3363, loss_rpn_bbox: 0.3102, loss_cls: 0.3598, acc: 93.2910, loss_bbox: 0.1484, loss: 1.1547, grad_norm: 8.7319
2022-03-02 11:59:06,508 - mmdet - INFO - Epoch [1][200/6400]  lr: 1.993e-03, eta: 12:43:29, time: 0.286, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2753, loss_rpn_bbox: 0.3070, loss_cls: 0.3108, acc: 94.5625, loss_bbox: 0.1708, loss: 1.0639, grad_norm: 7.1510
2022-03-02 11:59:20,822 - mmdet - INFO - Epoch [1][250/6400]  lr: 2.493e-03, eta: 11:23:26, time: 0.286, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2657, loss_rpn_bbox: 0.2597, loss_cls: 0.3206, acc: 95.2363, loss_bbox: 0.1207, loss: 0.9668, grad_norm: 6.2630
2022-03-02 11:59:36,950 - mmdet - INFO - Epoch [1][300/6400]  lr: 2.992e-03, eta: 10:37:42, time: 0.323, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2312, loss_rpn_bbox: 0.2393, loss_cls: 0.3234, acc: 94.3008, loss_bbox: 0.1750, loss: 0.9688, grad_norm: 5.6368
2022-03-02 11:59:52,317 - mmdet - INFO - Epoch [1][350/6400]  lr: 3.492e-03, eta: 10:02:11, time: 0.307, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2563, loss_rpn_bbox: 0.2687, loss_cls: 0.2787, acc: 94.6973, loss_bbox: 0.1334, loss: 0.9371, grad_norm: 4.8427
2022-03-02 12:00:06,513 - mmdet - INFO - Epoch [1][400/6400]  lr: 3.991e-03, eta: 9:31:45, time: 0.284, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2634, loss_rpn_bbox: 0.2764, loss_cls: 0.3215, acc: 93.5098, loss_bbox: 0.2115, loss: 1.0729, grad_norm: 5.7378
2022-03-02 12:00:20,903 - mmdet - INFO - Epoch [1][450/6400]  lr: 4.491e-03, eta: 9:08:35, time: 0.288, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2851, loss_rpn_bbox: 0.3251, loss_cls: 0.4162, acc: 92.5547, loss_bbox: 0.2522, loss: 1.2786, grad_norm: 8.7608
2022-03-02 12:00:36,633 - mmdet - INFO - Epoch [1][500/6400]  lr: 4.990e-03, eta: 8:53:24, time: 0.315, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2896, loss_rpn_bbox: 0.2962, loss_cls: 0.3868, acc: 92.4238, loss_bbox: 0.2104, loss: 1.1830, grad_norm: 7.9810
2022-03-02 12:00:51,209 - mmdet - INFO - Epoch [1][550/6400]  lr: 5.000e-03, eta: 8:38:16, time: 0.292, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2144, loss_rpn_bbox: 0.2405, loss_cls: 0.3280, acc: 93.7285, loss_bbox: 0.1893, loss: 0.9722, grad_norm: 5.3836
2022-03-02 12:01:11,715 - mmdet - INFO - Epoch [1][600/6400]  lr: 5.000e-03, eta: 8:38:11, time: 0.410, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2513, loss_rpn_bbox: 0.2897, loss_cls: 0.3147, acc: 93.3359, loss_bbox: 0.1856, loss: 1.0412, grad_norm: 5.9474
2022-03-02 12:01:27,896 - mmdet - INFO - Epoch [1][650/6400]  lr: 5.000e-03, eta: 8:29:36, time: 0.324, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.3022, loss_rpn_bbox: 0.2829, loss_cls: 0.2585, acc: 94.4199, loss_bbox: 0.1487, loss: 0.9922, grad_norm: 5.4841
2022-03-02 12:01:42,316 - mmdet - INFO - Epoch [1][700/6400]  lr: 5.000e-03, eta: 8:19:01, time: 0.288, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2341, loss_rpn_bbox: 0.2999, loss_cls: 0.3626, acc: 93.4102, loss_bbox: 0.2492, loss: 1.1458, grad_norm: 5.7065
2022-03-02 12:02:00,040 - mmdet - INFO - Epoch [1][750/6400]  lr: 5.000e-03, eta: 8:15:23, time: 0.354, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2187, loss_rpn_bbox: 0.3092, loss_cls: 0.3313, acc: 92.0195, loss_bbox: 0.2806, loss: 1.1398, grad_norm: 5.0330
2022-03-02 12:02:15,779 - mmdet - INFO - Epoch [1][800/6400]  lr: 5.000e-03, eta: 8:09:02, time: 0.315, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1843, loss_rpn_bbox: 0.2525, loss_cls: 0.2867, acc: 93.5449, loss_bbox: 0.2181, loss: 0.9416, grad_norm: 4.7315
2022-03-02 12:02:30,349 - mmdet - INFO - Epoch [1][850/6400]  lr: 5.000e-03, eta: 8:01:40, time: 0.291, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.2247, loss_rpn_bbox: 0.2871, loss_cls: 0.2655, acc: 93.8477, loss_bbox: 0.2211, loss: 0.9984, grad_norm: 4.6633
2022-03-02 12:02:47,190 - mmdet - INFO - Epoch [1][900/6400]  lr: 5.000e-03, eta: 7:58:17, time: 0.337, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1533, loss_rpn_bbox: 0.2182, loss_cls: 0.2865, acc: 93.5469, loss_bbox: 0.2359, loss: 0.8939, grad_norm: 4.0898
2022-03-02 12:03:01,542 - mmdet - INFO - Epoch [1][950/6400]  lr: 5.000e-03, eta: 7:51:54, time: 0.287, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1503, loss_rpn_bbox: 0.2472, loss_cls: 0.2512, acc: 94.2441, loss_bbox: 0.2068, loss: 0.8556, grad_norm: 4.1729
2022-03-02 12:03:15,766 - mmdet - INFO - Epoch [1][1000/6400] lr: 5.000e-03, eta: 7:45:59, time: 0.284, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1997, loss_rpn_bbox: 0.2534, loss_cls: 0.2489, acc: 93.9961, loss_bbox: 0.1933, loss: 0.8952, grad_norm: 4.4520
2022-03-02 12:03:31,753 - mmdet - INFO - Epoch [1][1050/6400] lr: 5.000e-03, eta: 7:42:43, time: 0.320, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1813, loss_rpn_bbox: 0.2874, loss_cls: 0.2348, acc: 94.3027, loss_bbox: 0.2147, loss: 0.9181, grad_norm: 3.5995
2022-03-02 12:03:45,906 - mmdet - INFO - Epoch [1][1100/6400] lr: 5.000e-03, eta: 7:37:38, time: 0.283, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1317, loss_rpn_bbox: 0.1922, loss_cls: 0.2545, acc: 93.6016, loss_bbox: 0.2491, loss: 0.8276, grad_norm: 3.8511
2022-03-02 12:04:00,040 - mmdet - INFO - Epoch [1][1150/6400] lr: 5.000e-03, eta: 7:32:56, time: 0.283, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1502, loss_rpn_bbox: 0.2048, loss_cls: 0.2368, acc: 94.2637, loss_bbox: 0.2335, loss: 0.8253, grad_norm: 3.5694
2022-03-02 12:04:18,778 - mmdet - INFO - Epoch [1][1200/6400] lr: 5.000e-03, eta: 7:33:27, time: 0.375, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1659, loss_rpn_bbox: 0.2848, loss_cls: 0.2516, acc: 93.6230, loss_bbox: 0.2077, loss: 0.9100, grad_norm: 4.5403
2022-03-02 12:04:34,559 - mmdet - INFO - Epoch [1][1250/6400] lr: 5.000e-03, eta: 7:30:55, time: 0.316, data_time: 0.011, memory: 4744, loss_rpn_cls: 0.1687, loss_rpn_bbox: 0.2381, loss_cls: 0.2502, acc: 94.0020, loss_bbox: 0.2046, loss: 0.8617, grad_norm: 4.3564
2022-03-02 12:04:51,596 - mmdet - INFO - Epoch [1][1300/6400] lr: 5.000e-03, eta: 7:29:47, time: 0.341, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1713, loss_rpn_bbox: 0.2298, loss_cls: 0.2824, acc: 92.9941, loss_bbox: 0.2472, loss: 0.9307, grad_norm: 4.4497
2022-03-02 12:05:09,684 - mmdet - INFO - Epoch [1][1350/6400] lr: 5.000e-03, eta: 7:29:41, time: 0.362, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1697, loss_rpn_bbox: 0.2407, loss_cls: 0.2228, acc: 94.5391, loss_bbox: 0.2324, loss: 0.8655, grad_norm: 4.1270
2022-03-02 12:05:28,016 - mmdet - INFO - Epoch [1][1400/6400] lr: 5.000e-03, eta: 7:29:48, time: 0.367, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1557, loss_rpn_bbox: 0.2547, loss_cls: 0.2755, acc: 92.6953, loss_bbox: 0.2350, loss: 0.9210, grad_norm: 4.3723
2022-03-02 12:05:43,397 - mmdet - INFO - Epoch [1][1450/6400] lr: 5.000e-03, eta: 7:27:19, time: 0.308, data_time: 0.010, memory: 4744, loss_rpn_cls: 0.1625, loss_rpn_bbox: 0.2454, loss_cls: 0.3011, acc: 92.7344, loss_bbox: 0.2473, loss: 0.9563, grad_norm: 4.9848
2022-03-02 12:05:58,841 - mmdet - INFO - Epoch [1][1500/6400] lr: 5.000e-03, eta: 7:25:02, time: 0.309, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.2054, loss_rpn_bbox: 0.2692, loss_cls: 0.2601, acc: 93.0391, loss_bbox: 0.2541, loss: 0.9889, grad_norm: 5.2411
2022-03-02 12:06:13,098 - mmdet - INFO - Epoch [1][1550/6400] lr: 5.000e-03, eta: 7:21:56, time: 0.285, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1607, loss_rpn_bbox: 0.2208, loss_cls: 0.2185, acc: 94.3105, loss_bbox: 0.2207, loss: 0.8207, grad_norm: 4.6303
2022-03-02 12:06:31,788 - mmdet - INFO - Epoch [1][1600/6400] lr: 5.000e-03, eta: 7:22:29, time: 0.374, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1609, loss_rpn_bbox: 0.2651, loss_cls: 0.2777, acc: 92.9609, loss_bbox: 0.2801, loss: 0.9837, grad_norm: 4.2740
2022-03-02 12:06:48,254 - mmdet - INFO - Epoch [1][1650/6400] lr: 5.000e-03, eta: 7:21:17, time: 0.329, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1880, loss_rpn_bbox: 0.2726, loss_cls: 0.2746, acc: 92.8086, loss_bbox: 0.2517, loss: 0.9869, grad_norm: 4.7679
2022-03-02 12:07:04,063 - mmdet - INFO - Epoch [1][1700/6400] lr: 5.000e-03, eta: 7:19:40, time: 0.316, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1484, loss_rpn_bbox: 0.2337, loss_cls: 0.2713, acc: 92.7676, loss_bbox: 0.2614, loss: 0.9147, grad_norm: 4.1410
2022-03-02 12:07:19,662 - mmdet - INFO - Epoch [1][1750/6400] lr: 5.000e-03, eta: 7:17:58, time: 0.312, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1252, loss_rpn_bbox: 0.2336, loss_cls: 0.2537, acc: 92.8867, loss_bbox: 0.2865, loss: 0.8990, grad_norm: 4.5074
2022-03-02 12:07:36,766 - mmdet - INFO - Epoch [1][1800/6400] lr: 5.000e-03, eta: 7:17:23, time: 0.342, data_time: 0.012, memory: 4752, loss_rpn_cls: 0.1279, loss_rpn_bbox: 0.2499, loss_cls: 0.2550, acc: 93.0664, loss_bbox: 0.2333, loss: 0.8662, grad_norm: 4.1132
2022-03-02 12:07:52,262 - mmdet - INFO - Epoch [1][1850/6400] lr: 5.000e-03, eta: 7:15:45, time: 0.310, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1461, loss_rpn_bbox: 0.2391, loss_cls: 0.2879, acc: 92.6738, loss_bbox: 0.3310, loss: 1.0042, grad_norm: 4.7064
2022-03-02 12:08:12,182 - mmdet - INFO - Epoch [1][1900/6400] lr: 5.000e-03, eta: 7:17:05, time: 0.398, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1324, loss_rpn_bbox: 0.2200, loss_cls: 0.2584, acc: 93.5312, loss_bbox: 0.2018, loss: 0.8126, grad_norm: 3.8934
2022-03-02 12:08:26,458 - mmdet - INFO - Epoch [1][1950/6400] lr: 5.000e-03, eta: 7:14:44, time: 0.286, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1143, loss_rpn_bbox: 0.2133, loss_cls: 0.2658, acc: 92.9473, loss_bbox: 0.2578, loss: 0.8512, grad_norm: 4.8030
2022-03-02 12:08:44,965 - mmdet - INFO - Epoch [1][2000/6400] lr: 5.000e-03, eta: 7:15:07, time: 0.370, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1408, loss_rpn_bbox: 0.2556, loss_cls: 0.2591, acc: 92.7285, loss_bbox: 0.2424, loss: 0.8979, grad_norm: 5.0763
2022-03-02 12:09:01,153 - mmdet - INFO - Epoch [1][2050/6400] lr: 5.000e-03, eta: 7:14:03, time: 0.324, data_time: 0.010, memory: 4752, loss_rpn_cls: 0.1512, loss_rpn_bbox: 0.2113, loss_cls: 0.2929, acc: 92.5801, loss_bbox: 0.2383, loss: 0.8937, grad_norm: 4.4116
2022-03-02 12:09:18,509 - mmdet - INFO - Epoch [1][2100/6400] lr: 5.000e-03, eta: 7:13:43, time: 0.347, data_time: 0.012, memory: 4752, loss_rpn_cls: 0.1249, loss_rpn_bbox: 0.1902, loss_cls: 0.2612, acc: 93.1738, loss_bbox: 0.2467, loss: 0.8230, grad_norm: 3.5979
2022-03-02 12:09:33,872 - mmdet - INFO - Epoch [1][2150/6400] lr: 5.000e-03, eta: 7:12:15, time: 0.307, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1192, loss_rpn_bbox: 0.2164, loss_cls: 0.2631, acc: 92.8242, loss_bbox: 0.2362, loss: 0.8349, grad_norm: 4.0326
2022-03-02 12:09:50,573 - mmdet - INFO - Epoch [1][2200/6400] lr: 5.000e-03, eta: 7:11:34, time: 0.334, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.1492, loss_rpn_bbox: 0.2178, loss_cls: 0.2361, acc: 92.9590, loss_bbox: 0.2366, loss: 0.8397, grad_norm: 4.4331
2022-03-02 12:10:08,754 - mmdet - INFO - Epoch [1][2250/6400] lr: 5.000e-03, eta: 7:11:44, time: 0.364, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1219, loss_rpn_bbox: 0.2220, loss_cls: 0.2370, acc: 93.3516, loss_bbox: 0.2545, loss: 0.8354, grad_norm: 4.0808
2022-03-02 12:10:23,091 - mmdet - INFO - Epoch [1][2300/6400] lr: 5.000e-03, eta: 7:09:49, time: 0.287, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0965, loss_rpn_bbox: 0.1956, loss_cls: 0.2498, acc: 93.3086, loss_bbox: 0.2268, loss: 0.7687, grad_norm: 4.0438
2022-03-02 12:10:37,381 - mmdet - INFO - Epoch [1][2350/6400] lr: 5.000e-03, eta: 7:07:56, time: 0.286, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1259, loss_rpn_bbox: 0.2154, loss_cls: 0.2493, acc: 92.9141, loss_bbox: 0.3035, loss: 0.8941, grad_norm: 4.2797
2022-03-02 12:10:52,910 - mmdet - INFO - Epoch [1][2400/6400] lr: 5.000e-03, eta: 7:06:45, time: 0.311, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1331, loss_rpn_bbox: 0.2146, loss_cls: 0.2577, acc: 93.1445, loss_bbox: 0.2781, loss: 0.8835, grad_norm: 4.1439
2022-03-02 12:11:09,327 - mmdet - INFO - Epoch [1][2450/6400] lr: 5.000e-03, eta: 7:06:04, time: 0.328, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1170, loss_rpn_bbox: 0.2322, loss_cls: 0.2827, acc: 92.0527, loss_bbox: 0.2599, loss: 0.8919, grad_norm: 4.4365
2022-03-02 12:11:23,584 - mmdet - INFO - Epoch [1][2500/6400] lr: 5.000e-03, eta: 7:04:20, time: 0.285, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1146, loss_rpn_bbox: 0.1812, loss_cls: 0.2621, acc: 92.7188, loss_bbox: 0.2567, loss: 0.8146, grad_norm: 3.8493
2022-03-02 12:11:39,084 - mmdet - INFO - Epoch [1][2550/6400] lr: 5.000e-03, eta: 7:03:15, time: 0.310, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1210, loss_rpn_bbox: 0.2008, loss_cls: 0.2423, acc: 93.1855, loss_bbox: 0.2137, loss: 0.7779, grad_norm: 3.9076
2022-03-02 12:11:55,886 - mmdet - INFO - Epoch [1][2600/6400] lr: 5.000e-03, eta: 7:02:49, time: 0.336, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1526, loss_rpn_bbox: 0.2050, loss_cls: 0.2429, acc: 93.5312, loss_bbox: 0.2061, loss: 0.8065, grad_norm: 4.3496
2022-03-02 12:12:14,726 - mmdet - INFO - Epoch [1][2650/6400] lr: 5.000e-03, eta: 7:03:21, time: 0.377, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1042, loss_rpn_bbox: 0.2108, loss_cls: 0.2438, acc: 92.3477, loss_bbox: 0.2221, loss: 0.7809, grad_norm: 4.0866
2022-03-02 12:12:30,224 - mmdet - INFO - Epoch [1][2700/6400] lr: 5.000e-03, eta: 7:02:19, time: 0.310, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1121, loss_rpn_bbox: 0.2108, loss_cls: 0.2718, acc: 92.4258, loss_bbox: 0.2515, loss: 0.8462, grad_norm: 3.8802
2022-03-02 12:12:44,463 - mmdet - INFO - Epoch [1][2750/6400] lr: 5.000e-03, eta: 7:00:45, time: 0.285, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1125, loss_rpn_bbox: 0.2229, loss_cls: 0.2559, acc: 92.5859, loss_bbox: 0.2407, loss: 0.8320, grad_norm: 3.9416
2022-03-02 12:12:58,841 - mmdet - INFO - Epoch [1][2800/6400] lr: 5.000e-03, eta: 6:59:17, time: 0.288, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1107, loss_rpn_bbox: 0.1788, loss_cls: 0.2089, acc: 93.7344, loss_bbox: 0.2080, loss: 0.7064, grad_norm: 3.3517
2022-03-02 12:13:16,886 - mmdet - INFO - Epoch [1][2850/6400] lr: 5.000e-03, eta: 6:59:28, time: 0.361, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1049, loss_rpn_bbox: 0.2278, loss_cls: 0.2647, acc: 92.2539, loss_bbox: 0.2583, loss: 0.8556, grad_norm: 3.7616
2022-03-02 12:13:32,447 - mmdet - INFO - Epoch [1][2900/6400] lr: 5.000e-03, eta: 6:58:33, time: 0.311, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1116, loss_rpn_bbox: 0.2469, loss_cls: 0.2352, acc: 92.9004, loss_bbox: 0.2599, loss: 0.8536, grad_norm: 4.2074
2022-03-02 12:13:48,048 - mmdet - INFO - Epoch [1][2950/6400] lr: 5.000e-03, eta: 6:57:42, time: 0.312, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1051, loss_rpn_bbox: 0.1832, loss_cls: 0.2203, acc: 93.6758, loss_bbox: 0.2214, loss: 0.7299, grad_norm: 3.5263
2022-03-02 12:14:05,423 - mmdet - INFO - Epoch [1][3000/6400] lr: 5.000e-03, eta: 6:57:35, time: 0.347, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1231, loss_rpn_bbox: 0.2296, loss_cls: 0.2231, acc: 93.5488, loss_bbox: 0.2249, loss: 0.8007, grad_norm: 4.0439
2022-03-02 12:14:21,556 - mmdet - INFO - Epoch [1][3050/6400] lr: 5.000e-03, eta: 6:56:57, time: 0.323, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1171, loss_rpn_bbox: 0.2475, loss_cls: 0.2659, acc: 91.8906, loss_bbox: 0.3176, loss: 0.9480, grad_norm: 4.3066
2022-03-02 12:14:35,742 - mmdet - INFO - Epoch [1][3100/6400] lr: 5.000e-03, eta: 6:55:34, time: 0.284, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1369, loss_rpn_bbox: 0.1938, loss_cls: 0.2493, acc: 93.2148, loss_bbox: 0.2355, loss: 0.8155, grad_norm: 4.0966
2022-03-02 12:14:53,666 - mmdet - INFO - Epoch [1][3150/6400] lr: 5.000e-03, eta: 6:55:41, time: 0.358, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1159, loss_rpn_bbox: 0.2934, loss_cls: 0.2659, acc: 91.7070, loss_bbox: 0.2817, loss: 0.9568, grad_norm: 5.2147
2022-03-02 12:15:10,733 - mmdet - INFO - Epoch [1][3200/6400] lr: 5.000e-03, eta: 6:55:27, time: 0.341, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1319, loss_rpn_bbox: 0.2840, loss_cls: 0.2273, acc: 93.1934, loss_bbox: 0.2378, loss: 0.8810, grad_norm: 4.1321
2022-03-02 12:15:27,689 - mmdet - INFO - Epoch [1][3250/6400] lr: 5.000e-03, eta: 6:55:11, time: 0.339, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1274, loss_rpn_bbox: 0.2089, loss_cls: 0.2315, acc: 94.1699, loss_bbox: 0.2073, loss: 0.7751, grad_norm: 4.2572
2022-03-02 12:15:44,899 - mmdet - INFO - Epoch [1][3300/6400] lr: 5.000e-03, eta: 6:55:00, time: 0.344, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1569, loss_rpn_bbox: 0.2542, loss_cls: 0.2388, acc: 92.8223, loss_bbox: 0.2547, loss: 0.9046, grad_norm: 4.5817
2022-03-02 12:16:01,464 - mmdet - INFO - Epoch [1][3350/6400] lr: 5.000e-03, eta: 6:54:35, time: 0.331, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1383, loss_rpn_bbox: 0.2281, loss_cls: 0.1988, acc: 93.8340, loss_bbox: 0.2310, loss: 0.7962, grad_norm: 4.0543
2022-03-02 12:16:16,884 - mmdet - INFO - Epoch [1][3400/6400] lr: 5.000e-03, eta: 6:53:45, time: 0.308, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1363, loss_rpn_bbox: 0.1915, loss_cls: 0.2354, acc: 92.9258, loss_bbox: 0.2248, loss: 0.7880, grad_norm: 3.7866
2022-03-02 12:16:34,542 - mmdet - INFO - Epoch [1][3450/6400] lr: 5.000e-03, eta: 6:53:44, time: 0.353, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1751, loss_rpn_bbox: 0.2926, loss_cls: 0.2871, acc: 91.8574, loss_bbox: 0.2661, loss: 1.0209, grad_norm: 5.4542
2022-03-02 12:16:48,959 - mmdet - INFO - Epoch [1][3500/6400] lr: 5.000e-03, eta: 6:52:35, time: 0.288, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1512, loss_rpn_bbox: 0.2457, loss_cls: 0.1945, acc: 94.4863, loss_bbox: 0.1927, loss: 0.7842, grad_norm: 4.0100
2022-03-02 12:17:04,511 - mmdet - INFO - Epoch [1][3550/6400] lr: 5.000e-03, eta: 6:51:50, time: 0.311, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1095, loss_rpn_bbox: 0.1965, loss_cls: 0.2307, acc: 93.2031, loss_bbox: 0.2485, loss: 0.7852, grad_norm: 4.0256
2022-03-02 12:17:19,957 - mmdet - INFO - Epoch [1][3600/6400] lr: 5.000e-03, eta: 6:51:05, time: 0.309, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1067, loss_rpn_bbox: 0.2081, loss_cls: 0.2160, acc: 93.6855, loss_bbox: 0.2557, loss: 0.7865, grad_norm: 3.6567
2022-03-02 12:17:36,174 - mmdet - INFO - Epoch [1][3650/6400] lr: 5.000e-03, eta: 6:50:35, time: 0.324, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1086, loss_rpn_bbox: 0.2444, loss_cls: 0.2683, acc: 92.7793, loss_bbox: 0.2911, loss: 0.9124, grad_norm: 4.0731
2022-03-02 12:17:51,769 - mmdet - INFO - Epoch [1][3700/6400] lr: 5.000e-03, eta: 6:49:54, time: 0.312, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1412, loss_rpn_bbox: 0.1914, loss_cls: 0.2103, acc: 94.1387, loss_bbox: 0.2124, loss: 0.7552, grad_norm: 3.8386
2022-03-02 12:18:07,432 - mmdet - INFO - Epoch [1][3750/6400] lr: 5.000e-03, eta: 6:49:14, time: 0.313, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1303, loss_rpn_bbox: 0.2458, loss_cls: 0.2589, acc: 92.9727, loss_bbox: 0.2170, loss: 0.8520, grad_norm: 4.6605
2022-03-02 12:18:21,750 - mmdet - INFO - Epoch [1][3800/6400] lr: 5.000e-03, eta: 6:48:10, time: 0.286, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1200, loss_rpn_bbox: 0.2309, loss_cls: 0.2628, acc: 92.1172, loss_bbox: 0.2712, loss: 0.8849, grad_norm: 4.0435
2022-03-02 12:18:37,804 - mmdet - INFO - Epoch [1][3850/6400] lr: 5.000e-03, eta: 6:47:39, time: 0.321, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1050, loss_rpn_bbox: 0.1858, loss_cls: 0.2243, acc: 93.2148, loss_bbox: 0.2229, loss: 0.7379, grad_norm: 3.5218
2022-03-02 12:18:52,083 - mmdet - INFO - Epoch [1][3900/6400] lr: 5.000e-03, eta: 6:46:36, time: 0.286, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1314, loss_rpn_bbox: 0.2155, loss_cls: 0.2110, acc: 93.9414, loss_bbox: 0.2015, loss: 0.7594, grad_norm: 3.9217
2022-03-02 12:19:07,670 - mmdet - INFO - Epoch [1][3950/6400] lr: 5.000e-03, eta: 6:45:58, time: 0.312, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.1083, loss_rpn_bbox: 0.1911, loss_cls: 0.2290, acc: 92.7637, loss_bbox: 0.2336, loss: 0.7620, grad_norm: 3.6658
2022-03-02 12:19:21,871 - mmdet - INFO - Epoch [1][4000/6400] lr: 5.000e-03, eta: 6:44:56, time: 0.284, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1301, loss_rpn_bbox: 0.1862, loss_cls: 0.2212, acc: 93.4570, loss_bbox: 0.2202, loss: 0.7577, grad_norm: 4.0380
2022-03-02 12:19:37,770 - mmdet - INFO - Epoch [1][4050/6400] lr: 5.000e-03, eta: 6:44:25, time: 0.318, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1075, loss_rpn_bbox: 0.2014, loss_cls: 0.2177, acc: 93.6133, loss_bbox: 0.2289, loss: 0.7555, grad_norm: 3.7945
2022-03-02 12:19:54,655 - mmdet - INFO - Epoch [1][4100/6400] lr: 5.000e-03, eta: 6:44:12, time: 0.338, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1002, loss_rpn_bbox: 0.1773, loss_cls: 0.2110, acc: 94.0723, loss_bbox: 0.1935, loss: 0.6820, grad_norm: 3.7460
2022-03-02 12:20:12,968 - mmdet - INFO - Epoch [1][4150/6400] lr: 5.000e-03, eta: 6:44:24, time: 0.366, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1251, loss_rpn_bbox: 0.2587, loss_cls: 0.2845, acc: 91.7129, loss_bbox: 0.2312, loss: 0.8995, grad_norm: 4.7545
2022-03-02 12:20:27,235 - mmdet - INFO - Epoch [1][4200/6400] lr: 5.000e-03, eta: 6:43:25, time: 0.285, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1488, loss_rpn_bbox: 0.2204, loss_cls: 0.2005, acc: 94.3145, loss_bbox: 0.1746, loss: 0.7443, grad_norm: 4.2212
2022-03-02 12:20:43,150 - mmdet - INFO - Epoch [1][4250/6400] lr: 5.000e-03, eta: 6:42:55, time: 0.318, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1207, loss_rpn_bbox: 0.2163, loss_cls: 0.2218, acc: 93.1953, loss_bbox: 0.2132, loss: 0.7719, grad_norm: 3.9381
2022-03-02 12:20:57,602 - mmdet - INFO - Epoch [1][4300/6400] lr: 5.000e-03, eta: 6:42:01, time: 0.289, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1259, loss_rpn_bbox: 0.2380, loss_cls: 0.2224, acc: 93.7676, loss_bbox: 0.2353, loss: 0.8217, grad_norm: 4.2609
2022-03-02 12:21:12,821 - mmdet - INFO - Epoch [1][4350/6400] lr: 5.000e-03, eta: 6:41:21, time: 0.304, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1144, loss_rpn_bbox: 0.2477, loss_cls: 0.2108, acc: 93.4473, loss_bbox: 0.2426, loss: 0.8155, grad_norm: 4.0310
2022-03-02 12:21:29,198 - mmdet - INFO - Epoch [1][4400/6400] lr: 5.000e-03, eta: 6:41:00, time: 0.328, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1220, loss_rpn_bbox: 0.2157, loss_cls: 0.2200, acc: 93.2930, loss_bbox: 0.2092, loss: 0.7669, grad_norm: 3.8608
2022-03-02 12:21:45,209 - mmdet - INFO - Epoch [1][4450/6400] lr: 5.000e-03, eta: 6:40:34, time: 0.320, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1278, loss_rpn_bbox: 0.2213, loss_cls: 0.2130, acc: 93.3301, loss_bbox: 0.2578, loss: 0.8199, grad_norm: 3.6383
2022-03-02 12:21:59,558 - mmdet - INFO - Epoch [1][4500/6400] lr: 5.000e-03, eta: 6:39:41, time: 0.287, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1058, loss_rpn_bbox: 0.2691, loss_cls: 0.2091, acc: 93.3965, loss_bbox: 0.2366, loss: 0.8206, grad_norm: 3.6957
2022-03-02 12:22:15,245 - mmdet - INFO - Epoch [1][4550/6400] lr: 5.000e-03, eta: 6:39:10, time: 0.314, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1389, loss_rpn_bbox: 0.2758, loss_cls: 0.2502, acc: 91.7578, loss_bbox: 0.2681, loss: 0.9330, grad_norm: 5.0398
2022-03-02 12:22:29,547 - mmdet - INFO - Epoch [1][4600/6400] lr: 5.000e-03, eta: 6:38:18, time: 0.286, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0941, loss_rpn_bbox: 0.2002, loss_cls: 0.1945, acc: 93.5449, loss_bbox: 0.2235, loss: 0.7123, grad_norm: 3.4135
2022-03-02 12:22:45,244 - mmdet - INFO - Epoch [1][4650/6400] lr: 5.000e-03, eta: 6:37:48, time: 0.314, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.1027, loss_rpn_bbox: 0.2264, loss_cls: 0.2039, acc: 93.5293, loss_bbox: 0.2730, loss: 0.8060, grad_norm: 3.7530
2022-03-02 12:23:02,559 - mmdet - INFO - Epoch [1][4700/6400] lr: 5.000e-03, eta: 6:37:44, time: 0.346, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0951, loss_rpn_bbox: 0.2079, loss_cls: 0.2437, acc: 92.1895, loss_bbox: 0.2668, loss: 0.8136, grad_norm: 3.6712
2022-03-02 12:23:18,562 - mmdet - INFO - Epoch [1][4750/6400] lr: 5.000e-03, eta: 6:37:19, time: 0.320, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1032, loss_rpn_bbox: 0.1727, loss_cls: 0.2402, acc: 92.3223, loss_bbox: 0.2266, loss: 0.7427, grad_norm: 3.7325
2022-03-02 12:23:34,356 - mmdet - INFO - Epoch [1][4800/6400] lr: 5.000e-03, eta: 6:36:51, time: 0.316, data_time: 0.017, memory: 4760, loss_rpn_cls: 0.0889, loss_rpn_bbox: 0.1841, loss_cls: 0.2224, acc: 92.7539, loss_bbox: 0.2356, loss: 0.7310, grad_norm: 3.7742
2022-03-02 12:23:52,233 - mmdet - INFO - Epoch [1][4850/6400] lr: 5.000e-03, eta: 6:36:54, time: 0.358, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0882, loss_rpn_bbox: 0.1910, loss_cls: 0.2608, acc: 91.9824, loss_bbox: 0.2394, loss: 0.7794, grad_norm: 3.8666
2022-03-02 12:24:07,757 - mmdet - INFO - Epoch [1][4900/6400] lr: 5.000e-03, eta: 6:36:23, time: 0.310, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1136, loss_rpn_bbox: 0.1684, loss_cls: 0.1885, acc: 94.4688, loss_bbox: 0.1715, loss: 0.6420, grad_norm: 3.4047
2022-03-02 12:24:23,342 - mmdet - INFO - Epoch [1][4950/6400] lr: 5.000e-03, eta: 6:35:52, time: 0.312, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.1094, loss_rpn_bbox: 0.1801, loss_cls: 0.2118, acc: 93.6133, loss_bbox: 0.2248, loss: 0.7261, grad_norm: 3.5242
2022-03-02 12:24:38,856 - mmdet - INFO - Epoch [1][5000/6400] lr: 5.000e-03, eta: 6:35:21, time: 0.310, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0988, loss_rpn_bbox: 0.2082, loss_cls: 0.2401, acc: 92.4023, loss_bbox: 0.2218, loss: 0.7689, grad_norm: 3.7528
2022-03-02 12:24:53,301 - mmdet - INFO - Epoch [1][5050/6400] lr: 5.000e-03, eta: 6:34:35, time: 0.289, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0976, loss_rpn_bbox: 0.1913, loss_cls: 0.2148, acc: 93.1348, loss_bbox: 0.1979, loss: 0.7015, grad_norm: 3.5286
2022-03-02 12:25:11,262 - mmdet - INFO - Epoch [1][5100/6400] lr: 5.000e-03, eta: 6:34:39, time: 0.359, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0978, loss_rpn_bbox: 0.2501, loss_cls: 0.2266, acc: 92.5410, loss_bbox: 0.2320, loss: 0.8065, grad_norm: 3.8582
2022-03-02 12:25:29,539 - mmdet - INFO - Epoch [1][5150/6400] lr: 5.000e-03, eta: 6:34:47, time: 0.366, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0857, loss_rpn_bbox: 0.1844, loss_cls: 0.2187, acc: 93.2871, loss_bbox: 0.2126, loss: 0.7015, grad_norm: 3.3395
2022-03-02 12:25:45,125 - mmdet - INFO - Epoch [1][5200/6400] lr: 5.000e-03, eta: 6:34:18, time: 0.312, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0924, loss_rpn_bbox: 0.1762, loss_cls: 0.2121, acc: 93.5664, loss_bbox: 0.2344, loss: 0.7151, grad_norm: 3.7469
2022-03-02 12:26:02,836 - mmdet - INFO - Epoch [1][5250/6400] lr: 5.000e-03, eta: 6:34:17, time: 0.354, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0977, loss_rpn_bbox: 0.1960, loss_cls: 0.2218, acc: 92.7051, loss_bbox: 0.2277, loss: 0.7432, grad_norm: 3.6408
2022-03-02 12:26:17,134 - mmdet - INFO - Epoch [1][5300/6400] lr: 5.000e-03, eta: 6:33:31, time: 0.286, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1039, loss_rpn_bbox: 0.2101, loss_cls: 0.2810, acc: 91.4082, loss_bbox: 0.2669, loss: 0.8618, grad_norm: 4.1820
2022-03-02 12:26:31,654 - mmdet - INFO - Epoch [1][5350/6400] lr: 5.000e-03, eta: 6:32:48, time: 0.290, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0761, loss_rpn_bbox: 0.2012, loss_cls: 0.2543, acc: 91.9551, loss_bbox: 0.2308, loss: 0.7623, grad_norm: 3.8970
2022-03-02 12:26:48,297 - mmdet - INFO - Epoch [1][5400/6400] lr: 5.000e-03, eta: 6:32:33, time: 0.333, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0836, loss_rpn_bbox: 0.1999, loss_cls: 0.2361, acc: 92.4805, loss_bbox: 0.2213, loss: 0.7408, grad_norm: 3.7214
2022-03-02 12:27:03,810 - mmdet - INFO - Epoch [1][5450/6400] lr: 5.000e-03, eta: 6:32:04, time: 0.310, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0864, loss_rpn_bbox: 0.1683, loss_cls: 0.2225, acc: 92.9258, loss_bbox: 0.2422, loss: 0.7194, grad_norm: 3.4976
2022-03-02 12:27:20,750 - mmdet - INFO - Epoch [1][5500/6400] lr: 5.000e-03, eta: 6:31:53, time: 0.339, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1192, loss_rpn_bbox: 0.1978, loss_cls: 0.2240, acc: 92.8203, loss_bbox: 0.2136, loss: 0.7545, grad_norm: 3.7100
2022-03-02 12:27:36,578 - mmdet - INFO - Epoch [1][5550/6400] lr: 5.000e-03, eta: 6:31:28, time: 0.317, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0936, loss_rpn_bbox: 0.1856, loss_cls: 0.2193, acc: 92.6504, loss_bbox: 0.2221, loss: 0.7205, grad_norm: 3.6673
2022-03-02 12:27:57,338 - mmdet - INFO - Epoch [1][5600/6400] lr: 5.000e-03, eta: 6:32:06, time: 0.415, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.0873, loss_rpn_bbox: 0.1901, loss_cls: 0.2158, acc: 93.0625, loss_bbox: 0.2156, loss: 0.7088, grad_norm: 3.7513
2022-03-02 12:28:11,684 - mmdet - INFO - Epoch [1][5650/6400] lr: 5.000e-03, eta: 6:31:22, time: 0.287, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1176, loss_rpn_bbox: 0.1810, loss_cls: 0.2155, acc: 92.7910, loss_bbox: 0.2260, loss: 0.7401, grad_norm: 4.2809
2022-03-02 12:28:27,139 - mmdet - INFO - Epoch [1][5700/6400] lr: 5.000e-03, eta: 6:30:53, time: 0.309, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1238, loss_rpn_bbox: 0.1867, loss_cls: 0.2452, acc: 92.4883, loss_bbox: 0.2006, loss: 0.7563, grad_norm: 4.1649
2022-03-02 12:28:43,501 - mmdet - INFO - Epoch [1][5750/6400] lr: 5.000e-03, eta: 6:30:34, time: 0.327, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0828, loss_rpn_bbox: 0.1690, loss_cls: 0.2552, acc: 91.7812, loss_bbox: 0.2506, loss: 0.7577, grad_norm: 3.5513
2022-03-02 12:29:01,251 - mmdet - INFO - Epoch [1][5800/6400] lr: 5.000e-03, eta: 6:30:33, time: 0.355, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1203, loss_rpn_bbox: 0.2186, loss_cls: 0.2687, acc: 91.6875, loss_bbox: 0.2253, loss: 0.8329, grad_norm: 4.3619
2022-03-02 12:29:18,706 - mmdet - INFO - Epoch [1][5850/6400] lr: 5.000e-03, eta: 6:30:28, time: 0.349, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0921, loss_rpn_bbox: 0.1442, loss_cls: 0.2072, acc: 93.4258, loss_bbox: 0.1816, loss: 0.6250, grad_norm: 3.5660
2022-03-02 12:29:33,011 - mmdet - INFO - Epoch [1][5900/6400] lr: 5.000e-03, eta: 6:29:45, time: 0.286, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0856, loss_rpn_bbox: 0.1791, loss_cls: 0.2501, acc: 91.8223, loss_bbox: 0.2557, loss: 0.7705, grad_norm: 3.9135
2022-03-02 12:29:47,266 - mmdet - INFO - Epoch [1][5950/6400] lr: 5.000e-03, eta: 6:29:02, time: 0.285, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.0956, loss_rpn_bbox: 0.1897, loss_cls: 0.2117, acc: 92.8750, loss_bbox: 0.2037, loss: 0.7007, grad_norm: 3.7424
2022-03-02 12:30:04,161 - mmdet - INFO - Epoch [1][6000/6400] lr: 5.000e-03, eta: 6:28:51, time: 0.338, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1244, loss_rpn_bbox: 0.2284, loss_cls: 0.2215, acc: 92.6094, loss_bbox: 0.2169, loss: 0.7912, grad_norm: 4.4534
2022-03-02 12:30:18,688 - mmdet - INFO - Epoch [1][6050/6400] lr: 5.000e-03, eta: 6:28:11, time: 0.291, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1006, loss_rpn_bbox: 0.1760, loss_cls: 0.2352, acc: 92.6895, loss_bbox: 0.2209, loss: 0.7327, grad_norm: 3.8022
2022-03-02 12:30:33,083 - mmdet - INFO - Epoch [1][6100/6400] lr: 5.000e-03, eta: 6:27:31, time: 0.288, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0828, loss_rpn_bbox: 0.1326, loss_cls: 0.2124, acc: 93.1777, loss_bbox: 0.2003, loss: 0.6280, grad_norm: 3.4631
2022-03-02 12:30:52,054 - mmdet - INFO - Epoch [1][6150/6400] lr: 5.000e-03, eta: 6:27:44, time: 0.379, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1012, loss_rpn_bbox: 0.2237, loss_cls: 0.2482, acc: 91.7188, loss_bbox: 0.2271, loss: 0.8001, grad_norm: 4.0094
2022-03-02 12:31:08,565 - mmdet - INFO - Epoch [1][6200/6400] lr: 5.000e-03, eta: 6:27:28, time: 0.330, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.0873, loss_rpn_bbox: 0.1973, loss_cls: 0.2055, acc: 93.0840, loss_bbox: 0.2097, loss: 0.6998, grad_norm: 3.7299
2022-03-02 12:31:22,972 - mmdet - INFO - Epoch [1][6250/6400] lr: 5.000e-03, eta: 6:26:48, time: 0.288, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1277, loss_rpn_bbox: 0.2326, loss_cls: 0.2277, acc: 92.3711, loss_bbox: 0.2294, loss: 0.8174, grad_norm: 4.3572
2022-03-02 12:31:39,694 - mmdet - INFO - Epoch [1][6300/6400] lr: 5.000e-03, eta: 6:26:35, time: 0.334, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.1033, loss_rpn_bbox: 0.2158, loss_cls: 0.2172, acc: 92.9824, loss_bbox: 0.2196, loss: 0.7558, grad_norm: 3.7817
2022-03-02 12:31:57,842 - mmdet - INFO - Epoch [1][6350/6400] lr: 5.000e-03, eta: 6:26:37, time: 0.363, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0847, loss_rpn_bbox: 0.1985, loss_cls: 0.2451, acc: 92.1875, loss_bbox: 0.2379, loss: 0.7662, grad_norm: 3.8429
2022-03-02 12:32:14,267 - mmdet - INFO - Epoch [1][6400/6400] lr: 5.000e-03, eta: 6:26:20, time: 0.328, data_time: 0.009, memory: 4760, loss_rpn_cls: 0.1064, loss_rpn_bbox: 0.1728, loss_cls: 0.2271, acc: 93.1660, loss_bbox: 0.1935, loss: 0.6998, grad_norm: 3.8966
2022-03-02 12:32:14,855 - mmdet - INFO - Saving checkpoint at 1 epochs
2022-03-02 12:33:28,204 - mmdet - INFO - Epoch [2][50/6400]   lr: 5.000e-03, eta: 6:35:57, time: 1.417, data_time: 1.037, memory: 4760, loss_rpn_cls: 0.0787, loss_rpn_bbox: 0.1907, loss_cls: 0.2234, acc: 92.5723, loss_bbox: 0.2509, loss: 0.7438, grad_norm: 3.5577
2022-03-02 12:33:42,590 - mmdet - INFO - Epoch [2][100/6400]  lr: 5.000e-03, eta: 6:35:13, time: 0.288, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0840, loss_rpn_bbox: 0.1719, loss_cls: 0.2179, acc: 92.9316, loss_bbox: 0.2269, loss: 0.7008, grad_norm: 3.3796
2022-03-02 12:33:58,737 - mmdet - INFO - Epoch [2][150/6400]  lr: 5.000e-03, eta: 6:34:49, time: 0.323, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0857, loss_rpn_bbox: 0.2015, loss_cls: 0.2570, acc: 91.4805, loss_bbox: 0.2171, loss: 0.7613, grad_norm: 3.6752
2022-03-02 12:34:16,113 - mmdet - INFO - Epoch [2][200/6400]  lr: 5.000e-03, eta: 6:34:37, time: 0.348, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0860, loss_rpn_bbox: 0.1732, loss_cls: 0.2036, acc: 93.4746, loss_bbox: 0.1937, loss: 0.6565, grad_norm: 3.6744
2022-03-02 12:34:33,188 - mmdet - INFO - Epoch [2][250/6400]  lr: 5.000e-03, eta: 6:34:23, time: 0.341, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0957, loss_rpn_bbox: 0.2175, loss_cls: 0.2478, acc: 92.2676, loss_bbox: 0.2532, loss: 0.8143, grad_norm: 4.0435
2022-03-02 12:34:47,491 - mmdet - INFO - Epoch [2][300/6400]  lr: 5.000e-03, eta: 6:33:39, time: 0.286, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0939, loss_rpn_bbox: 0.1936, loss_cls: 0.2046, acc: 93.3730, loss_bbox: 0.2160, loss: 0.7080, grad_norm: 3.8282
2022-03-02 12:35:03,478 - mmdet - INFO - Epoch [2][350/6400]  lr: 5.000e-03, eta: 6:33:13, time: 0.320, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0807, loss_rpn_bbox: 0.1701, loss_cls: 0.2360, acc: 92.0352, loss_bbox: 0.2199, loss: 0.7067, grad_norm: 3.5515
2022-03-02 12:35:18,265 - mmdet - INFO - Epoch [2][400/6400]  lr: 5.000e-03, eta: 6:32:35, time: 0.296, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0953, loss_rpn_bbox: 0.1785, loss_cls: 0.2228, acc: 92.4570, loss_bbox: 0.2058, loss: 0.7024, grad_norm: 4.0005
2022-03-02 12:35:34,028 - mmdet - INFO - Epoch [2][450/6400]  lr: 5.000e-03, eta: 6:32:07, time: 0.315, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0939, loss_rpn_bbox: 0.2030, loss_cls: 0.2447, acc: 92.0215, loss_bbox: 0.2571, loss: 0.7986, grad_norm: 3.8159
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2022-03-02 18:46:33,876 - mmdet - INFO - Epoch [12][4550/6400]    lr: 5.000e-05, eta: 0:10:05, time: 0.304, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0740, loss_cls: 0.1373, acc: 94.3633, loss_bbox: 0.1284, loss: 0.3607, grad_norm: 2.6691
2022-03-02 18:46:49,469 - mmdet - INFO - Epoch [12][4600/6400]    lr: 5.000e-05, eta: 0:09:49, time: 0.312, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0654, loss_cls: 0.1403, acc: 94.2715, loss_bbox: 0.1246, loss: 0.3509, grad_norm: 2.5982
2022-03-02 18:47:04,646 - mmdet - INFO - Epoch [12][4650/6400]    lr: 5.000e-05, eta: 0:09:32, time: 0.304, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0617, loss_cls: 0.1187, acc: 95.3574, loss_bbox: 0.1079, loss: 0.3095, grad_norm: 2.2876
2022-03-02 18:47:20,316 - mmdet - INFO - Epoch [12][4700/6400]    lr: 5.000e-05, eta: 0:09:16, time: 0.313, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0679, loss_cls: 0.1287, acc: 94.9238, loss_bbox: 0.1263, loss: 0.3429, grad_norm: 2.5392
2022-03-02 18:47:35,603 - mmdet - INFO - Epoch [12][4750/6400]    lr: 5.000e-05, eta: 0:09:00, time: 0.306, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0440, loss_cls: 0.1239, acc: 95.0059, loss_bbox: 0.1019, loss: 0.2880, grad_norm: 2.2659
2022-03-02 18:47:51,371 - mmdet - INFO - Epoch [12][4800/6400]    lr: 5.000e-05, eta: 0:08:43, time: 0.315, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0807, loss_cls: 0.1406, acc: 94.5859, loss_bbox: 0.1295, loss: 0.3732, grad_norm: 2.8388
2022-03-02 18:48:09,971 - mmdet - INFO - Epoch [12][4850/6400]    lr: 5.000e-05, eta: 0:08:27, time: 0.372, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0489, loss_cls: 0.1103, acc: 95.7695, loss_bbox: 0.1033, loss: 0.2768, grad_norm: 2.1247
2022-03-02 18:48:25,375 - mmdet - INFO - Epoch [12][4900/6400]    lr: 5.000e-05, eta: 0:08:10, time: 0.308, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0761, loss_cls: 0.1330, acc: 94.7070, loss_bbox: 0.1194, loss: 0.3476, grad_norm: 2.4813
2022-03-02 18:48:42,348 - mmdet - INFO - Epoch [12][4950/6400]    lr: 5.000e-05, eta: 0:07:54, time: 0.339, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0662, loss_cls: 0.1231, acc: 95.0391, loss_bbox: 0.1186, loss: 0.3247, grad_norm: 2.3638
2022-03-02 18:48:56,689 - mmdet - INFO - Epoch [12][5000/6400]    lr: 5.000e-05, eta: 0:07:38, time: 0.287, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0635, loss_cls: 0.1313, acc: 94.6602, loss_bbox: 0.1185, loss: 0.3292, grad_norm: 2.5554
2022-03-02 18:49:11,227 - mmdet - INFO - Epoch [12][5050/6400]    lr: 5.000e-05, eta: 0:07:21, time: 0.291, data_time: 0.015, memory: 4760, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0661, loss_cls: 0.1357, acc: 94.6152, loss_bbox: 0.1181, loss: 0.3431, grad_norm: 2.5501
2022-03-02 18:49:28,431 - mmdet - INFO - Epoch [12][5100/6400]    lr: 5.000e-05, eta: 0:07:05, time: 0.344, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0655, loss_cls: 0.1331, acc: 94.5586, loss_bbox: 0.1145, loss: 0.3382, grad_norm: 2.6655
2022-03-02 18:49:49,836 - mmdet - INFO - Epoch [12][5150/6400]    lr: 5.000e-05, eta: 0:06:49, time: 0.428, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0629, loss_cls: 0.1303, acc: 94.9082, loss_bbox: 0.1225, loss: 0.3382, grad_norm: 2.5446
2022-03-02 18:50:07,950 - mmdet - INFO - Epoch [12][5200/6400]    lr: 5.000e-05, eta: 0:06:32, time: 0.362, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0734, loss_cls: 0.1341, acc: 94.6738, loss_bbox: 0.1224, loss: 0.3508, grad_norm: 2.8119
2022-03-02 18:50:27,820 - mmdet - INFO - Epoch [12][5250/6400]    lr: 5.000e-05, eta: 0:06:16, time: 0.397, data_time: 0.019, memory: 4760, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0499, loss_cls: 0.1132, acc: 95.4219, loss_bbox: 0.1030, loss: 0.2845, grad_norm: 2.2307
2022-03-02 18:50:43,310 - mmdet - INFO - Epoch [12][5300/6400]    lr: 5.000e-05, eta: 0:06:00, time: 0.310, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0577, loss_cls: 0.1340, acc: 94.7949, loss_bbox: 0.1181, loss: 0.3350, grad_norm: 2.5764
2022-03-02 18:50:58,815 - mmdet - INFO - Epoch [12][5350/6400]    lr: 5.000e-05, eta: 0:05:43, time: 0.310, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0552, loss_cls: 0.1302, acc: 94.7422, loss_bbox: 0.1145, loss: 0.3217, grad_norm: 2.4304
2022-03-02 18:51:17,026 - mmdet - INFO - Epoch [12][5400/6400]    lr: 5.000e-05, eta: 0:05:27, time: 0.364, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0649, loss_cls: 0.1399, acc: 94.5176, loss_bbox: 0.1218, loss: 0.3480, grad_norm: 2.5169
2022-03-02 18:51:31,324 - mmdet - INFO - Epoch [12][5450/6400]    lr: 5.000e-05, eta: 0:05:11, time: 0.286, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0697, loss_cls: 0.1327, acc: 94.7012, loss_bbox: 0.1215, loss: 0.3445, grad_norm: 2.5896
2022-03-02 18:51:46,887 - mmdet - INFO - Epoch [12][5500/6400]    lr: 5.000e-05, eta: 0:04:54, time: 0.311, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0624, loss_cls: 0.1235, acc: 95.1348, loss_bbox: 0.1033, loss: 0.3079, grad_norm: 2.4261
2022-03-02 18:52:02,288 - mmdet - INFO - Epoch [12][5550/6400]    lr: 5.000e-05, eta: 0:04:38, time: 0.308, data_time: 0.013, memory: 4760, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0700, loss_cls: 0.1391, acc: 94.7109, loss_bbox: 0.1199, loss: 0.3519, grad_norm: 2.4458
2022-03-02 18:52:17,825 - mmdet - INFO - Epoch [12][5600/6400]    lr: 5.000e-05, eta: 0:04:21, time: 0.311, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0531, loss_cls: 0.1315, acc: 94.8223, loss_bbox: 0.1152, loss: 0.3188, grad_norm: 2.4173
2022-03-02 18:52:33,452 - mmdet - INFO - Epoch [12][5650/6400]    lr: 5.000e-05, eta: 0:04:05, time: 0.313, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0700, loss_cls: 0.1302, acc: 94.7969, loss_bbox: 0.1267, loss: 0.3474, grad_norm: 2.6424
2022-03-02 18:52:48,933 - mmdet - INFO - Epoch [12][5700/6400]    lr: 5.000e-05, eta: 0:03:49, time: 0.310, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0747, loss_cls: 0.1250, acc: 95.0488, loss_bbox: 0.1143, loss: 0.3331, grad_norm: 2.4032
2022-03-02 18:53:04,988 - mmdet - INFO - Epoch [12][5750/6400]    lr: 5.000e-05, eta: 0:03:32, time: 0.321, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0492, loss_cls: 0.1136, acc: 95.6504, loss_bbox: 0.1046, loss: 0.2857, grad_norm: 2.2703
2022-03-02 18:53:23,001 - mmdet - INFO - Epoch [12][5800/6400]    lr: 5.000e-05, eta: 0:03:16, time: 0.360, data_time: 0.014, memory: 4760, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0469, loss_cls: 0.1162, acc: 95.3672, loss_bbox: 0.0993, loss: 0.2786, grad_norm: 2.2873
2022-03-02 18:53:41,077 - mmdet - INFO - Epoch [12][5850/6400]    lr: 5.000e-05, eta: 0:03:00, time: 0.362, data_time: 0.010, memory: 4760, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0605, loss_cls: 0.1365, acc: 94.7910, loss_bbox: 0.1147, loss: 0.3324, grad_norm: 2.5827
2022-03-02 18:54:01,784 - mmdet - INFO - Epoch [12][5900/6400]    lr: 5.000e-05, eta: 0:02:43, time: 0.414, data_time: 0.141, memory: 4760, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0449, loss_cls: 0.1251, acc: 95.0176, loss_bbox: 0.1118, loss: 0.3012, grad_norm: 2.2902
2022-03-02 18:54:18,765 - mmdet - INFO - Epoch [12][5950/6400]    lr: 5.000e-05, eta: 0:02:27, time: 0.340, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0673, loss_cls: 0.1296, acc: 94.9199, loss_bbox: 0.1037, loss: 0.3193, grad_norm: 2.2767
2022-03-02 18:54:33,090 - mmdet - INFO - Epoch [12][6000/6400]    lr: 5.000e-05, eta: 0:02:10, time: 0.286, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0547, loss_cls: 0.1203, acc: 95.2207, loss_bbox: 0.1181, loss: 0.3082, grad_norm: 2.4060
2022-03-02 18:54:48,553 - mmdet - INFO - Epoch [12][6050/6400]    lr: 5.000e-05, eta: 0:01:54, time: 0.309, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0652, loss_cls: 0.1189, acc: 95.2676, loss_bbox: 0.1135, loss: 0.3154, grad_norm: 2.3796
2022-03-02 18:55:02,908 - mmdet - INFO - Epoch [12][6100/6400]    lr: 5.000e-05, eta: 0:01:38, time: 0.287, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0558, loss_cls: 0.1305, acc: 94.9121, loss_bbox: 0.1126, loss: 0.3175, grad_norm: 2.3744
2022-03-02 18:55:18,813 - mmdet - INFO - Epoch [12][6150/6400]    lr: 5.000e-05, eta: 0:01:21, time: 0.318, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0630, loss_cls: 0.1089, acc: 95.7285, loss_bbox: 0.1093, loss: 0.2973, grad_norm: 2.2709
2022-03-02 18:55:33,265 - mmdet - INFO - Epoch [12][6200/6400]    lr: 5.000e-05, eta: 0:01:05, time: 0.289, data_time: 0.012, memory: 4760, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0724, loss_cls: 0.1306, acc: 94.7871, loss_bbox: 0.1369, loss: 0.3576, grad_norm: 2.4291
2022-03-02 18:55:47,508 - mmdet - INFO - Epoch [12][6250/6400]    lr: 5.000e-05, eta: 0:00:49, time: 0.285, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0991, loss_cls: 0.1374, acc: 94.4609, loss_bbox: 0.1393, loss: 0.3972, grad_norm: 2.6051
2022-03-02 18:56:05,560 - mmdet - INFO - Epoch [12][6300/6400]    lr: 5.000e-05, eta: 0:00:32, time: 0.361, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0567, loss_cls: 0.1232, acc: 95.2305, loss_bbox: 0.1234, loss: 0.3188, grad_norm: 2.4849
2022-03-02 18:56:19,820 - mmdet - INFO - Epoch [12][6350/6400]    lr: 5.000e-05, eta: 0:00:16, time: 0.285, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0788, loss_cls: 0.1298, acc: 94.8750, loss_bbox: 0.1237, loss: 0.3502, grad_norm: 2.6399
2022-03-02 18:56:34,085 - mmdet - INFO - Epoch [12][6400/6400]    lr: 5.000e-05, eta: 0:00:00, time: 0.285, data_time: 0.011, memory: 4760, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0499, loss_cls: 0.1236, acc: 95.2656, loss_bbox: 0.1114, loss: 0.3031, grad_norm: 2.3303
2022-03-02 18:56:34,702 - mmdet - INFO - Saving checkpoint at 12 epochs

Really thanks! I double-checked the code and found that there was indeed a problem when the pre-trained model was loaded, and it has been solved, thank you a lot!