fcos3d_imgnet_nus.txt

2021-07-28 13:23:01,042 - mmdet - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.7.7 (default, May  7 2020, 21:25:33) [GCC 7.3.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 10.1, V10.1.243
GCC: gcc (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
PyTorch: 1.6.0
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2020.0.1 Product Build 20200208 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v1.5.0 (Git Hash e2ac1fac44c5078ca927cb9b90e1b3066a0b2ed0)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.1
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
  - CuDNN 7.6.3
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, 

TorchVision: 0.7.0
OpenCV: 4.5.2
MMCV: 1.3.4
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 10.1
MMDetection: 2.11.0
MMSegmentation: 0.13.0
MMDetection3D: 0.13.0+b15fc06
------------------------------------------------------------

2021-07-28 13:23:02,033 - mmdet - INFO - Distributed training: True
2021-07-28 13:23:02,812 - mmdet - INFO - Config:
dataset_type = 'NuScenesMonoDataset'
data_root = '/nfs/share_data/nuscenes/'
class_names = [
    'car', 'truck', 'trailer', 'bus', 'construction_vehicle', 'bicycle',
    'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
]
input_modality = dict(
    use_lidar=False,
    use_camera=True,
    use_radar=False,
    use_map=False,
    use_external=False)
img_norm_cfg = dict(
    mean=[103.53, 116.28, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False)
train_pipeline = [
    dict(type='LoadImageFromFileMono3D'),
    dict(
        type='LoadAnnotations3D',
        with_bbox=True,
        with_label=True,
        with_attr_label=True,
        with_bbox_3d=True,
        with_label_3d=True,
        with_bbox_depth=True),
    dict(type='Resize', img_scale=(1600, 900), keep_ratio=True),
    dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5),
    dict(
        type='Normalize',
        mean=[103.53, 116.28, 123.675],
        std=[1.0, 1.0, 1.0],
        to_rgb=False),
    dict(type='Pad', size_divisor=32),
    dict(
        type='DefaultFormatBundle3D',
        class_names=[
            'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
            'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
        ]),
    dict(
        type='Collect3D',
        keys=[
            'img', 'gt_bboxes', 'gt_labels', 'attr_labels', 'gt_bboxes_3d',
            'gt_labels_3d', 'centers2d', 'depths'
        ])
]
test_pipeline = [
    dict(type='LoadImageFromFileMono3D'),
    dict(
        type='MultiScaleFlipAug',
        scale_factor=1.0,
        flip=False,
        transforms=[
            dict(type='RandomFlip3D'),
            dict(
                type='Normalize',
                mean=[103.53, 116.28, 123.675],
                std=[1.0, 1.0, 1.0],
                to_rgb=False),
            dict(type='Pad', size_divisor=32),
            dict(
                type='DefaultFormatBundle3D',
                class_names=[
                    'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
                    'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone',
                    'barrier'
                ],
                with_label=False),
            dict(type='Collect3D', keys=['img'])
        ])
]
data = dict(
    samples_per_gpu=8,
    workers_per_gpu=8,
    train=dict(
        type='NuScenesMonoDataset',
        data_root='/nfs/share_data/nuscenes/',
        ann_file=
        '/nfs/share_data/nuscenes/nuscenes_infos_train_mono3d.coco.json',
        img_prefix='/nfs/share_data/nuscenes/',
        classes=[
            'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
            'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
        ],
        pipeline=[
            dict(type='LoadImageFromFileMono3D'),
            dict(
                type='LoadAnnotations3D',
                with_bbox=True,
                with_label=True,
                with_attr_label=True,
                with_bbox_3d=True,
                with_label_3d=True,
                with_bbox_depth=True),
            dict(type='Resize', img_scale=(1600, 900), keep_ratio=True),
            dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5),
            dict(
                type='Normalize',
                mean=[103.53, 116.28, 123.675],
                std=[1.0, 1.0, 1.0],
                to_rgb=False),
            dict(type='Pad', size_divisor=32),
            dict(
                type='DefaultFormatBundle3D',
                class_names=[
                    'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
                    'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone',
                    'barrier'
                ]),
            dict(
                type='Collect3D',
                keys=[
                    'img', 'gt_bboxes', 'gt_labels', 'attr_labels',
                    'gt_bboxes_3d', 'gt_labels_3d', 'centers2d', 'depths'
                ])
        ],
        modality=dict(
            use_lidar=False,
            use_camera=True,
            use_radar=False,
            use_map=False,
            use_external=False),
        test_mode=False,
        box_type_3d='Camera'),
    val=dict(
        type='NuScenesMonoDataset',
        data_root='/nfs/share_data/nuscenes/',
        ann_file='/nfs/share_data/nuscenes/nuscenes_infos_val_mono3d.coco.json',
        img_prefix='/nfs/share_data/nuscenes/',
        classes=[
            'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
            'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
        ],
        pipeline=[
            dict(type='LoadImageFromFileMono3D'),
            dict(
                type='MultiScaleFlipAug',
                scale_factor=1.0,
                flip=False,
                transforms=[
                    dict(type='RandomFlip3D'),
                    dict(
                        type='Normalize',
                        mean=[103.53, 116.28, 123.675],
                        std=[1.0, 1.0, 1.0],
                        to_rgb=False),
                    dict(type='Pad', size_divisor=32),
                    dict(
                        type='DefaultFormatBundle3D',
                        class_names=[
                            'car', 'truck', 'trailer', 'bus',
                            'construction_vehicle', 'bicycle', 'motorcycle',
                            'pedestrian', 'traffic_cone', 'barrier'
                        ],
                        with_label=False),
                    dict(type='Collect3D', keys=['img'])
                ])
        ],
        modality=dict(
            use_lidar=False,
            use_camera=True,
            use_radar=False,
            use_map=False,
            use_external=False),
        test_mode=True,
        box_type_3d='Camera'),
    test=dict(
        type='NuScenesMonoDataset',
        data_root='/nfs/share_data/nuscenes/',
        ann_file='/nfs/share_data/nuscenes/nuscenes_infos_val_mono3d.coco.json',
        img_prefix='/nfs/share_data/nuscenes/',
        classes=[
            'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
            'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
        ],
        pipeline=[
            dict(type='LoadImageFromFileMono3D'),
            dict(
                type='MultiScaleFlipAug',
                scale_factor=1.0,
                flip=False,
                transforms=[
                    dict(type='RandomFlip3D'),
                    dict(
                        type='Normalize',
                        mean=[103.53, 116.28, 123.675],
                        std=[1.0, 1.0, 1.0],
                        to_rgb=False),
                    dict(type='Pad', size_divisor=32),
                    dict(
                        type='DefaultFormatBundle3D',
                        class_names=[
                            'car', 'truck', 'trailer', 'bus',
                            'construction_vehicle', 'bicycle', 'motorcycle',
                            'pedestrian', 'traffic_cone', 'barrier'
                        ],
                        with_label=False),
                    dict(type='Collect3D', keys=['img'])
                ])
        ],
        modality=dict(
            use_lidar=False,
            use_camera=True,
            use_radar=False,
            use_map=False,
            use_external=False),
        test_mode=True,
        box_type_3d='Camera'))
evaluation = dict(start=10, interval=2)
model = dict(
    type='FCOSMono3D',
    pretrained='torchvision://resnet50',
    backbone=dict(
        type='ResNet',
        depth=50,
        num_stages=4,
        out_indices=(0, 1, 2, 3),
        frozen_stages=-1,
        norm_cfg=dict(type='SyncBN', requires_grad=True),
        norm_eval=False,
        style='pytorch'),
    neck=dict(
        type='FPN',
        in_channels=[256, 512, 1024, 2048],
        out_channels=256,
        start_level=1,
        add_extra_convs=True,
        extra_convs_on_inputs=False,
        num_outs=5,
        relu_before_extra_convs=True),
    bbox_head=dict(
        type='FCOSMono3DHead',
        num_classes=10,
        in_channels=256,
        stacked_convs=2,
        feat_channels=256,
        use_direction_classifier=True,
        diff_rad_by_sin=True,
        pred_attrs=True,
        pred_velo=True,
        dir_offset=0.7854,
        strides=[8, 16, 32, 64, 128],
        group_reg_dims=(2, 1, 3, 1, 2),
        cls_branch=(256, ),
        reg_branch=((256, ), (256, ), (256, ), (256, ), ()),
        dir_branch=(256, ),
        attr_branch=(256, ),
        loss_cls=dict(
            type='FocalLoss',
            use_sigmoid=True,
            gamma=2.0,
            alpha=0.25,
            loss_weight=1.0),
        loss_bbox=dict(
            type='SmoothL1Loss', beta=0.1111111111111111, loss_weight=1.0),
        loss_dir=dict(
            type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
        loss_attr=dict(
            type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
        loss_centerness=dict(
            type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),
        norm_on_bbox=True,
        centerness_on_reg=True,
        center_sampling=True,
        conv_bias=True,
        dcn_on_last_conv=True),
    train_cfg=dict(
        allowed_border=0,
        code_weight=[1.0, 1.0, 0.2, 1.0, 1.0, 1.0, 1.0, 0.05, 0.05],
        pos_weight=-1,
        debug=False),
    test_cfg=dict(
        use_rotate_nms=True,
        nms_across_levels=False,
        nms_pre=1000,
        nms_thr=0.8,
        score_thr=0.05,
        min_bbox_size=0,
        max_per_img=200))
optimizer = dict(
    type='SGD',
    lr=0.008,
    momentum=0.9,
    weight_decay=0.0001,
    paramwise_cfg=dict(bias_lr_mult=2.0, bias_decay_mult=0.0))
optimizer_config = dict(grad_clip=dict(max_norm=35, 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'
work_dir = 'nfs/lzy/fcos3d/imgsup'
load_from = None
resume_from = None
workflow = [('train', 1)]
total_epochs = 12
gpu_ids = range(0, 8)

2021-07-28 13:23:02,812 - mmdet - INFO - Set random seed to 0, deterministic: False
2021-07-28 13:23:03,135 - mmdet - INFO - load model from: torchvision://resnet50
2021-07-28 13:23:03,136 - mmdet - INFO - Use load_from_torchvision loader
2021-07-28 13:23:20,507 - mmdet - WARNING - The model and loaded state dict do not match exactly

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

2021-07-28 13:23:20,590 - mmdet - INFO - Model:
FCOSMono3D(
  (backbone): ResNet(
    (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
    (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (relu): ReLU(inplace=True)
    (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
    (layer1): ResLayer(
      (0): Bottleneck(
        (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
        (downsample): Sequential(
          (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        )
      )
      (1): Bottleneck(
        (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (2): Bottleneck(
        (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
    )
    (layer2): ResLayer(
      (0): Bottleneck(
        (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
        (downsample): Sequential(
          (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        )
      )
      (1): Bottleneck(
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (2): Bottleneck(
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (3): Bottleneck(
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
    )
    (layer3): ResLayer(
      (0): Bottleneck(
        (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
        (downsample): Sequential(
          (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        )
      )
      (1): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (2): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (3): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (4): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (5): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
    )
    (layer4): ResLayer(
      (0): Bottleneck(
        (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
        (downsample): Sequential(
          (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        )
      )
      (1): Bottleneck(
        (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (2): Bottleneck(
        (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
    )
  )
  (neck): FPN(
    (lateral_convs): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
      )
      (1): ConvModule(
        (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1))
      )
      (2): ConvModule(
        (conv): Conv2d(2048, 256, kernel_size=(1, 1), stride=(1, 1))
      )
    )
    (fpn_convs): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (1): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (2): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (3): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
      )
      (4): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
      )
    )
  )
  (bbox_head): FCOSMono3DHead(
    (loss_cls): FocalLoss()
    (loss_bbox): SmoothL1Loss()
    (loss_dir): CrossEntropyLoss()
    (loss_attr): CrossEntropyLoss()
    (cls_convs): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
      (1): ConvModule(
        (conv): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (reg_convs): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
      (1): ConvModule(
        (conv): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_cls_prev): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_cls): Conv2d(256, 10, kernel_size=(1, 1), stride=(1, 1))
    (conv_reg_prevs): ModuleList(
      (0): ModuleList(
        (0): ConvModule(
          (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
          (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
          (activate): ReLU(inplace=True)
        )
      )
      (1): ModuleList(
        (0): ConvModule(
          (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
          (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
          (activate): ReLU(inplace=True)
        )
      )
      (2): ModuleList(
        (0): ConvModule(
          (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
          (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
          (activate): ReLU(inplace=True)
        )
      )
      (3): ModuleList(
        (0): ConvModule(
          (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
          (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
          (activate): ReLU(inplace=True)
        )
      )
      (4): None
    )
    (conv_regs): ModuleList(
      (0): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
      (1): Conv2d(256, 1, kernel_size=(1, 1), stride=(1, 1))
      (2): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1))
      (3): Conv2d(256, 1, kernel_size=(1, 1), stride=(1, 1))
      (4): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
    )
    (conv_dir_cls_prev): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_dir_cls): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
    (conv_attr_prev): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_attr): Conv2d(256, 9, kernel_size=(1, 1), stride=(1, 1))
    (conv_centerness_prev): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 64, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_centerness): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
    (scales): ModuleList(
      (0): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
      (1): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
      (2): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
      (3): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
      (4): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
    )
    (loss_centerness): CrossEntropyLoss()
  )
)
2021-07-28 13:24:08,634 - mmdet - INFO - Start running, host: root@img-sup-mono3d-1, work_dir: /nfs/lizhenyu1/workspace/python_workspace/mmdetection3d/nfs/lzy/fcos3d/imgsup
2021-07-28 13:24:08,635 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2021-07-28 13:26:21,805 - mmdet - INFO - Epoch [1][50/2217]	lr: 3.189e-03, eta: 19:38:03, time: 2.662, data_time: 0.140, memory: 28604, loss_cls: 0.7935, loss_offset: 1.3748, loss_depth: 4.6791, loss_size: 3.0131, loss_rotsin: 0.5590, loss_centerness: 0.6130, loss_velo: 0.0632, loss_dir: 0.6957, loss_attr: 1.5949, loss: 13.3864, grad_norm: 54.0051
2021-07-28 13:28:11,753 - mmdet - INFO - Epoch [1][100/2217]	lr: 3.723e-03, eta: 17:53:34, time: 2.199, data_time: 0.059, memory: 28631, loss_cls: 0.5144, loss_offset: 1.1649, loss_depth: 2.1118, loss_size: 1.9437, loss_rotsin: 0.5336, loss_centerness: 0.6004, loss_velo: 0.0602, loss_dir: 0.6928, loss_attr: 1.0925, loss: 8.7143, grad_norm: 18.4736
2021-07-28 13:30:02,479 - mmdet - INFO - Epoch [1][150/2217]	lr: 4.256e-03, eta: 17:19:49, time: 2.214, data_time: 0.058, memory: 28631, loss_cls: 0.4624, loss_offset: 1.0415, loss_depth: 1.8877, loss_size: 1.6860, loss_rotsin: 0.5226, loss_centerness: 0.5992, loss_velo: 0.0605, loss_dir: 0.6920, loss_attr: 0.9614, loss: 7.9135, grad_norm: 18.4887
2021-07-28 13:31:52,635 - mmdet - INFO - Epoch [1][200/2217]	lr: 4.789e-03, eta: 17:00:45, time: 2.203, data_time: 0.064, memory: 28631, loss_cls: 0.4249, loss_offset: 0.9714, loss_depth: 1.8350, loss_size: 1.5579, loss_rotsin: 0.5218, loss_centerness: 0.5966, loss_velo: 0.0616, loss_dir: 0.6897, loss_attr: 0.9091, loss: 7.5680, grad_norm: 20.6428
2021-07-28 13:33:41,991 - mmdet - INFO - Epoch [1][250/2217]	lr: 5.323e-03, eta: 16:47:12, time: 2.187, data_time: 0.058, memory: 28631, loss_cls: 0.4050, loss_offset: 0.9510, loss_depth: 1.7747, loss_size: 1.4619, loss_rotsin: 0.5136, loss_centerness: 0.5943, loss_velo: 0.0599, loss_dir: 0.6923, loss_attr: 0.8558, loss: 7.3085, grad_norm: 20.2260
2021-07-28 13:35:30,965 - mmdet - INFO - Epoch [1][300/2217]	lr: 5.856e-03, eta: 16:36:59, time: 2.179, data_time: 0.056, memory: 28631, loss_cls: 0.3887, loss_offset: 0.9107, loss_depth: 1.8617, loss_size: 1.4029, loss_rotsin: 0.5140, loss_centerness: 0.5916, loss_velo: 0.0614, loss_dir: 0.6895, loss_attr: 0.8311, loss: 7.2517, grad_norm: 18.0839
2021-07-28 13:37:21,484 - mmdet - INFO - Epoch [1][350/2217]	lr: 6.389e-03, eta: 16:31:06, time: 2.210, data_time: 0.063, memory: 28631, loss_cls: 0.3941, loss_offset: 0.9137, loss_depth: 2.3078, loss_size: 1.3628, loss_rotsin: 0.5093, loss_centerness: 0.5904, loss_velo: 0.0638, loss_dir: 0.6875, loss_attr: 0.8258, loss: 7.6550, grad_norm: 19.9657
2021-07-28 13:39:12,969 - mmdet - INFO - Epoch [1][400/2217]	lr: 6.923e-03, eta: 16:27:17, time: 2.230, data_time: 0.065, memory: 28631, loss_cls: 0.3859, loss_offset: 0.8824, loss_depth: 2.1521, loss_size: 1.3152, loss_rotsin: 0.5074, loss_centerness: 0.5896, loss_velo: 0.0615, loss_dir: 0.6908, loss_attr: 0.7753, loss: 7.3601, grad_norm: 15.9674
2021-07-28 13:41:03,134 - mmdet - INFO - Epoch [1][450/2217]	lr: 7.456e-03, eta: 16:22:37, time: 2.203, data_time: 0.063, memory: 28631, loss_cls: 0.3768, loss_offset: 0.8706, loss_depth: 1.9566, loss_size: 1.2973, loss_rotsin: 0.5150, loss_centerness: 0.5882, loss_velo: 0.0614, loss_dir: 0.6856, loss_attr: 0.7582, loss: 7.1096, grad_norm: 14.9811
2021-07-28 13:42:52,710 - mmdet - INFO - Epoch [1][500/2217]	lr: 7.989e-03, eta: 16:18:01, time: 2.191, data_time: 0.060, memory: 28631, loss_cls: 0.3699, loss_offset: 0.8507, loss_depth: 1.6345, loss_size: 1.2601, loss_rotsin: 0.5189, loss_centerness: 0.5872, loss_velo: 0.0602, loss_dir: 0.6851, loss_attr: 0.7628, loss: 6.7295, grad_norm: 13.9036
2021-07-28 13:44:43,662 - mmdet - INFO - Epoch [1][550/2217]	lr: 8.000e-03, eta: 16:15:00, time: 2.219, data_time: 0.061, memory: 28631, loss_cls: 0.3565, loss_offset: 0.8331, loss_depth: 1.3695, loss_size: 1.1712, loss_rotsin: 0.5094, loss_centerness: 0.5864, loss_velo: 0.0605, loss_dir: 0.6816, loss_attr: 0.7194, loss: 6.2876, grad_norm: 11.5680
2021-07-28 13:46:34,886 - mmdet - INFO - Epoch [1][600/2217]	lr: 8.000e-03, eta: 16:12:22, time: 2.224, data_time: 0.061, memory: 28631, loss_cls: 0.3618, loss_offset: 0.8266, loss_depth: 1.3650, loss_size: 1.1548, loss_rotsin: 0.4986, loss_centerness: 0.5861, loss_velo: 0.0627, loss_dir: 0.6806, loss_attr: 0.7251, loss: 6.2614, grad_norm: 11.0892
2021-07-28 13:48:24,752 - mmdet - INFO - Epoch [1][650/2217]	lr: 8.000e-03, eta: 16:08:58, time: 2.197, data_time: 0.058, memory: 28631, loss_cls: 0.3521, loss_offset: 0.8088, loss_depth: 1.3497, loss_size: 1.2136, loss_rotsin: 0.5027, loss_centerness: 0.5854, loss_velo: 0.0619, loss_dir: 0.6790, loss_attr: 0.7021, loss: 6.2553, grad_norm: 11.0787
2021-07-28 13:50:17,156 - mmdet - INFO - Epoch [1][700/2217]	lr: 8.000e-03, eta: 16:07:20, time: 2.248, data_time: 0.058, memory: 28631, loss_cls: 0.3493, loss_offset: 0.8090, loss_depth: 1.4581, loss_size: 1.2256, loss_rotsin: 0.5031, loss_centerness: 0.5855, loss_velo: 0.0599, loss_dir: 0.6785, loss_attr: 0.7040, loss: 6.3732, grad_norm: 11.1428
2021-07-28 13:52:06,846 - mmdet - INFO - Epoch [1][750/2217]	lr: 8.000e-03, eta: 16:04:08, time: 2.194, data_time: 0.060, memory: 28631, loss_cls: 0.3423, loss_offset: 0.7958, loss_depth: 1.2161, loss_size: 1.1074, loss_rotsin: 0.4987, loss_centerness: 0.5844, loss_velo: 0.0625, loss_dir: 0.6752, loss_attr: 0.6844, loss: 5.9669, grad_norm: 9.1984
2021-07-28 13:53:56,261 - mmdet - INFO - Epoch [1][800/2217]	lr: 8.000e-03, eta: 16:00:56, time: 2.188, data_time: 0.055, memory: 28631, loss_cls: 0.3369, loss_offset: 0.7781, loss_depth: 1.0949, loss_size: 1.0692, loss_rotsin: 0.5033, loss_centerness: 0.5836, loss_velo: 0.0643, loss_dir: 0.6702, loss_attr: 0.6652, loss: 5.7658, grad_norm: 8.5703
2021-07-28 13:55:45,927 - mmdet - INFO - Epoch [1][850/2217]	lr: 8.000e-03, eta: 15:58:02, time: 2.193, data_time: 0.059, memory: 28631, loss_cls: 0.3326, loss_offset: 0.7833, loss_depth: 1.1479, loss_size: 1.0696, loss_rotsin: 0.4884, loss_centerness: 0.5834, loss_velo: 0.0615, loss_dir: 0.6741, loss_attr: 0.6332, loss: 5.7740, grad_norm: 9.0344
2021-07-28 13:57:37,466 - mmdet - INFO - Epoch [1][900/2217]	lr: 8.000e-03, eta: 15:56:09, time: 2.231, data_time: 0.059, memory: 28631, loss_cls: 0.3306, loss_offset: 0.7719, loss_depth: 1.1021, loss_size: 1.0403, loss_rotsin: 0.4846, loss_centerness: 0.5832, loss_velo: 0.0588, loss_dir: 0.6684, loss_attr: 0.6417, loss: 5.6815, grad_norm: 8.4422
2021-07-28 13:59:28,891 - mmdet - INFO - Epoch [1][950/2217]	lr: 8.000e-03, eta: 15:54:13, time: 2.228, data_time: 0.062, memory: 28631, loss_cls: 0.3287, loss_offset: 0.7626, loss_depth: 1.0822, loss_size: 1.0771, loss_rotsin: 0.4657, loss_centerness: 0.5831, loss_velo: 0.0626, loss_dir: 0.6624, loss_attr: 0.6514, loss: 5.6758, grad_norm: 8.7578
2021-07-28 14:01:19,390 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-07-28 14:01:19,390 - mmdet - INFO - Epoch [1][1000/2217]	lr: 8.000e-03, eta: 15:51:53, time: 2.210, data_time: 0.060, memory: 28631, loss_cls: 0.3266, loss_offset: 0.7682, loss_depth: 1.0402, loss_size: 1.0792, loss_rotsin: 0.4642, loss_centerness: 0.5826, loss_velo: 0.0619, loss_dir: 0.6578, loss_attr: 0.6125, loss: 5.5932, grad_norm: 8.3742
2021-07-28 14:03:09,188 - mmdet - INFO - Epoch [1][1050/2217]	lr: 8.000e-03, eta: 15:49:20, time: 2.196, data_time: 0.060, memory: 28631, loss_cls: 0.3182, loss_offset: 0.7484, loss_depth: 1.1039, loss_size: 1.0544, loss_rotsin: 0.4616, loss_centerness: 0.5826, loss_velo: 0.0624, loss_dir: 0.6379, loss_attr: 0.6087, loss: 5.5782, grad_norm: 9.1071
2021-07-28 14:04:59,911 - mmdet - INFO - Epoch [1][1100/2217]	lr: 8.000e-03, eta: 15:47:11, time: 2.214, data_time: 0.059, memory: 28632, loss_cls: 0.3192, loss_offset: 0.7438, loss_depth: 1.0989, loss_size: 1.0561, loss_rotsin: 0.4489, loss_centerness: 0.5820, loss_velo: 0.0641, loss_dir: 0.6321, loss_attr: 0.6202, loss: 5.5654, grad_norm: 9.0249
2021-07-28 14:06:49,834 - mmdet - INFO - Epoch [1][1150/2217]	lr: 8.000e-03, eta: 15:44:47, time: 2.199, data_time: 0.058, memory: 28632, loss_cls: 0.3203, loss_offset: 0.7579, loss_depth: 0.9666, loss_size: 1.0054, loss_rotsin: 0.4562, loss_centerness: 0.5826, loss_velo: 0.0626, loss_dir: 0.6238, loss_attr: 0.6100, loss: 5.3854, grad_norm: 7.5812
2021-07-28 14:08:40,340 - mmdet - INFO - Epoch [1][1200/2217]	lr: 8.000e-03, eta: 15:42:38, time: 2.210, data_time: 0.060, memory: 28632, loss_cls: 0.3147, loss_offset: 0.7475, loss_depth: 1.0111, loss_size: 1.0195, loss_rotsin: 0.4446, loss_centerness: 0.5822, loss_velo: 0.0593, loss_dir: 0.6143, loss_attr: 0.6059, loss: 5.3991, grad_norm: 8.0288
2021-07-28 14:10:30,988 - mmdet - INFO - Epoch [1][1250/2217]	lr: 8.000e-03, eta: 15:40:33, time: 2.213, data_time: 0.057, memory: 28632, loss_cls: 0.3116, loss_offset: 0.7368, loss_depth: 0.9989, loss_size: 0.9647, loss_rotsin: 0.4410, loss_centerness: 0.5815, loss_velo: 0.0589, loss_dir: 0.6083, loss_attr: 0.5787, loss: 5.2804, grad_norm: 8.0983
2021-07-28 14:12:20,402 - mmdet - INFO - Epoch [1][1300/2217]	lr: 8.000e-03, eta: 15:38:05, time: 2.188, data_time: 0.057, memory: 28632, loss_cls: 0.3095, loss_offset: 0.7429, loss_depth: 1.1288, loss_size: 0.9983, loss_rotsin: 0.4343, loss_centerness: 0.5816, loss_velo: 0.0590, loss_dir: 0.6025, loss_attr: 0.5694, loss: 5.4264, grad_norm: 9.2614
2021-07-28 14:14:07,888 - mmdet - INFO - Epoch [1][1350/2217]	lr: 8.000e-03, eta: 15:35:04, time: 2.150, data_time: 0.057, memory: 28632, loss_cls: 0.3146, loss_offset: 0.7353, loss_depth: 1.1183, loss_size: 1.0070, loss_rotsin: 0.4331, loss_centerness: 0.5812, loss_velo: 0.0629, loss_dir: 0.6012, loss_attr: 0.5970, loss: 5.4507, grad_norm: 9.0537
2021-07-28 14:15:56,990 - mmdet - INFO - Epoch [1][1400/2217]	lr: 8.000e-03, eta: 15:32:37, time: 2.182, data_time: 0.059, memory: 28658, loss_cls: 0.3138, loss_offset: 0.7376, loss_depth: 1.0314, loss_size: 0.9663, loss_rotsin: 0.4231, loss_centerness: 0.5814, loss_velo: 0.0612, loss_dir: 0.6023, loss_attr: 0.5810, loss: 5.2980, grad_norm: 8.6689
2021-07-28 14:17:45,434 - mmdet - INFO - Epoch [1][1450/2217]	lr: 8.000e-03, eta: 15:30:02, time: 2.169, data_time: 0.057, memory: 28658, loss_cls: 0.3050, loss_offset: 0.7262, loss_depth: 0.9335, loss_size: 0.9876, loss_rotsin: 0.4229, loss_centerness: 0.5806, loss_velo: 0.0620, loss_dir: 0.5871, loss_attr: 0.5544, loss: 5.1593, grad_norm: 7.3846
2021-07-28 14:19:33,215 - mmdet - INFO - Epoch [1][1500/2217]	lr: 8.000e-03, eta: 15:27:18, time: 2.156, data_time: 0.055, memory: 28658, loss_cls: 0.3090, loss_offset: 0.7228, loss_depth: 0.9916, loss_size: 0.9676, loss_rotsin: 0.4229, loss_centerness: 0.5811, loss_velo: 0.0607, loss_dir: 0.5907, loss_attr: 0.5728, loss: 5.2192, grad_norm: 8.6730
2021-07-28 14:21:21,205 - mmdet - INFO - Epoch [1][1550/2217]	lr: 8.000e-03, eta: 15:24:42, time: 2.160, data_time: 0.055, memory: 28658, loss_cls: 0.3087, loss_offset: 0.7140, loss_depth: 1.0370, loss_size: 0.9704, loss_rotsin: 0.4103, loss_centerness: 0.5804, loss_velo: 0.0603, loss_dir: 0.5911, loss_attr: 0.5632, loss: 5.2356, grad_norm: 8.9899
2021-07-28 14:23:10,059 - mmdet - INFO - Epoch [1][1600/2217]	lr: 8.000e-03, eta: 15:22:22, time: 2.177, data_time: 0.060, memory: 28658, loss_cls: 0.3079, loss_offset: 0.7189, loss_depth: 0.9962, loss_size: 0.9434, loss_rotsin: 0.4136, loss_centerness: 0.5805, loss_velo: 0.0629, loss_dir: 0.5757, loss_attr: 0.5793, loss: 5.1784, grad_norm: 7.9201
2021-07-28 14:24:57,851 - mmdet - INFO - Epoch [1][1650/2217]	lr: 8.000e-03, eta: 15:19:47, time: 2.156, data_time: 0.064, memory: 28658, loss_cls: 0.3048, loss_offset: 0.7146, loss_depth: 1.0268, loss_size: 0.9809, loss_rotsin: 0.4019, loss_centerness: 0.5801, loss_velo: 0.0645, loss_dir: 0.5743, loss_attr: 0.5651, loss: 5.2132, grad_norm: 8.7607
2021-07-28 14:26:46,400 - mmdet - INFO - Epoch [1][1700/2217]	lr: 8.000e-03, eta: 15:17:27, time: 2.171, data_time: 0.060, memory: 28658, loss_cls: 0.3005, loss_offset: 0.7108, loss_depth: 0.9568, loss_size: 0.9602, loss_rotsin: 0.3967, loss_centerness: 0.5801, loss_velo: 0.0631, loss_dir: 0.5757, loss_attr: 0.5448, loss: 5.0887, grad_norm: 7.9372
2021-07-28 14:28:33,914 - mmdet - INFO - Epoch [1][1750/2217]	lr: 8.000e-03, eta: 15:14:54, time: 2.150, data_time: 0.058, memory: 28658, loss_cls: 0.3001, loss_offset: 0.7107, loss_depth: 0.9410, loss_size: 0.9302, loss_rotsin: 0.4010, loss_centerness: 0.5802, loss_velo: 0.0586, loss_dir: 0.5726, loss_attr: 0.5420, loss: 5.0364, grad_norm: 7.7372
2021-07-28 14:30:23,091 - mmdet - INFO - Epoch [1][1800/2217]	lr: 8.000e-03, eta: 15:12:46, time: 2.184, data_time: 0.086, memory: 28658, loss_cls: 0.3030, loss_offset: 0.7063, loss_depth: 0.9670, loss_size: 0.9447, loss_rotsin: 0.3942, loss_centerness: 0.5799, loss_velo: 0.0613, loss_dir: 0.5678, loss_attr: 0.5561, loss: 5.0803, grad_norm: 8.1887
2021-07-28 14:32:10,863 - mmdet - INFO - Epoch [1][1850/2217]	lr: 8.000e-03, eta: 15:10:21, time: 2.155, data_time: 0.063, memory: 28658, loss_cls: 0.2979, loss_offset: 0.7058, loss_depth: 0.9553, loss_size: 0.8997, loss_rotsin: 0.3868, loss_centerness: 0.5797, loss_velo: 0.0645, loss_dir: 0.5599, loss_attr: 0.5295, loss: 4.9790, grad_norm: 8.0383
2021-07-28 14:33:58,454 - mmdet - INFO - Epoch [1][1900/2217]	lr: 8.000e-03, eta: 15:07:55, time: 2.152, data_time: 0.062, memory: 28658, loss_cls: 0.2963, loss_offset: 0.6998, loss_depth: 1.0506, loss_size: 0.9336, loss_rotsin: 0.3924, loss_centerness: 0.5796, loss_velo: 0.0645, loss_dir: 0.5648, loss_attr: 0.5357, loss: 5.1171, grad_norm: 8.8700
2021-07-28 14:35:47,303 - mmdet - INFO - Epoch [1][1950/2217]	lr: 8.000e-03, eta: 15:05:47, time: 2.177, data_time: 0.067, memory: 28658, loss_cls: 0.2971, loss_offset: 0.7072, loss_depth: 0.9670, loss_size: 0.9715, loss_rotsin: 0.3960, loss_centerness: 0.5800, loss_velo: 0.0619, loss_dir: 0.5645, loss_attr: 0.5342, loss: 5.0795, grad_norm: 7.9276
2021-07-28 14:37:38,578 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-07-28 14:37:38,579 - mmdet - INFO - Epoch [1][2000/2217]	lr: 8.000e-03, eta: 15:04:09, time: 2.225, data_time: 0.063, memory: 28658, loss_cls: 0.2948, loss_offset: 0.6938, loss_depth: 0.9491, loss_size: 0.9447, loss_rotsin: 0.3788, loss_centerness: 0.5791, loss_velo: 0.0636, loss_dir: 0.5542, loss_attr: 0.5382, loss: 4.9963, grad_norm: 7.7195
2021-07-28 14:39:28,321 - mmdet - INFO - Epoch [1][2050/2217]	lr: 8.000e-03, eta: 15:02:13, time: 2.195, data_time: 0.056, memory: 28658, loss_cls: 0.2919, loss_offset: 0.6951, loss_depth: 1.0070, loss_size: 0.9190, loss_rotsin: 0.3711, loss_centerness: 0.5793, loss_velo: 0.0630, loss_dir: 0.5546, loss_attr: 0.5393, loss: 5.0203, grad_norm: 8.3243
2021-07-28 14:41:19,478 - mmdet - INFO - Epoch [1][2100/2217]	lr: 8.000e-03, eta: 15:00:34, time: 2.223, data_time: 0.059, memory: 28658, loss_cls: 0.2925, loss_offset: 0.6933, loss_depth: 0.9633, loss_size: 0.8989, loss_rotsin: 0.3800, loss_centerness: 0.5788, loss_velo: 0.0589, loss_dir: 0.5602, loss_attr: 0.4989, loss: 4.9248, grad_norm: 8.5353
2021-07-28 14:43:08,582 - mmdet - INFO - Epoch [1][2150/2217]	lr: 8.000e-03, eta: 14:58:30, time: 2.182, data_time: 0.059, memory: 28658, loss_cls: 0.2896, loss_offset: 0.6889, loss_depth: 1.0034, loss_size: 0.8915, loss_rotsin: 0.3728, loss_centerness: 0.5792, loss_velo: 0.0594, loss_dir: 0.5556, loss_attr: 0.5160, loss: 4.9564, grad_norm: 8.8057
2021-07-28 14:44:57,551 - mmdet - INFO - Epoch [1][2200/2217]	lr: 8.000e-03, eta: 14:56:26, time: 2.179, data_time: 0.059, memory: 28658, loss_cls: 0.2915, loss_offset: 0.6953, loss_depth: 0.9468, loss_size: 0.8825, loss_rotsin: 0.3749, loss_centerness: 0.5795, loss_velo: 0.0642, loss_dir: 0.5559, loss_attr: 0.5192, loss: 4.9097, grad_norm: 7.8596
2021-07-28 14:45:34,030 - mmdet - INFO - Saving checkpoint at 1 epochs
2021-07-28 14:47:34,202 - mmdet - INFO - Epoch [2][50/2217]	lr: 8.000e-03, eta: 14:48:31, time: 2.343, data_time: 0.239, memory: 28658, loss_cls: 0.2873, loss_offset: 0.6818, loss_depth: 0.9320, loss_size: 0.8634, loss_rotsin: 0.3676, loss_centerness: 0.5792, loss_velo: 0.0610, loss_dir: 0.5473, loss_attr: 0.4861, loss: 4.8057, grad_norm: 7.7979
2021-07-28 14:49:22,128 - mmdet - INFO - Epoch [2][100/2217]	lr: 8.000e-03, eta: 14:46:24, time: 2.158, data_time: 0.058, memory: 28658, loss_cls: 0.2844, loss_offset: 0.6802, loss_depth: 0.9080, loss_size: 0.8750, loss_rotsin: 0.3671, loss_centerness: 0.5786, loss_velo: 0.0617, loss_dir: 0.5563, loss_attr: 0.4951, loss: 4.8064, grad_norm: 7.4332
2021-07-28 14:51:10,380 - mmdet - INFO - Epoch [2][150/2217]	lr: 8.000e-03, eta: 14:44:22, time: 2.165, data_time: 0.056, memory: 28658, loss_cls: 0.2877, loss_offset: 0.6823, loss_depth: 0.8462, loss_size: 0.8471, loss_rotsin: 0.3624, loss_centerness: 0.5789, loss_velo: 0.0595, loss_dir: 0.5486, loss_attr: 0.4854, loss: 4.6982, grad_norm: 6.9817
2021-07-28 14:52:58,869 - mmdet - INFO - Epoch [2][200/2217]	lr: 8.000e-03, eta: 14:42:23, time: 2.170, data_time: 0.055, memory: 28658, loss_cls: 0.2865, loss_offset: 0.6791, loss_depth: 0.8815, loss_size: 0.8656, loss_rotsin: 0.3628, loss_centerness: 0.5793, loss_velo: 0.0613, loss_dir: 0.5474, loss_attr: 0.4873, loss: 4.7507, grad_norm: 7.5492
2021-07-28 14:54:49,027 - mmdet - INFO - Epoch [2][250/2217]	lr: 8.000e-03, eta: 14:40:41, time: 2.203, data_time: 0.055, memory: 28658, loss_cls: 0.2875, loss_offset: 0.6796, loss_depth: 0.8873, loss_size: 0.8555, loss_rotsin: 0.3536, loss_centerness: 0.5787, loss_velo: 0.0590, loss_dir: 0.5420, loss_attr: 0.4955, loss: 4.7386, grad_norm: 7.5721
2021-07-28 14:56:38,116 - mmdet - INFO - Epoch [2][300/2217]	lr: 8.000e-03, eta: 14:38:48, time: 2.182, data_time: 0.058, memory: 28658, loss_cls: 0.2826, loss_offset: 0.6774, loss_depth: 0.9941, loss_size: 0.8434, loss_rotsin: 0.3477, loss_centerness: 0.5787, loss_velo: 0.0628, loss_dir: 0.5311, loss_attr: 0.4843, loss: 4.8021, grad_norm: 9.2433
2021-07-28 14:58:27,754 - mmdet - INFO - Epoch [2][350/2217]	lr: 8.000e-03, eta: 14:37:00, time: 2.193, data_time: 0.057, memory: 28658, loss_cls: 0.2849, loss_offset: 0.6728, loss_depth: 0.8703, loss_size: 0.8407, loss_rotsin: 0.3535, loss_centerness: 0.5789, loss_velo: 0.0584, loss_dir: 0.5417, loss_attr: 0.4949, loss: 4.6959, grad_norm: 7.6981
2021-07-28 15:00:18,854 - mmdet - INFO - Epoch [2][400/2217]	lr: 8.000e-03, eta: 14:35:25, time: 2.222, data_time: 0.059, memory: 28658, loss_cls: 0.2813, loss_offset: 0.6801, loss_depth: 0.9494, loss_size: 0.8712, loss_rotsin: 0.3448, loss_centerness: 0.5785, loss_velo: 0.0610, loss_dir: 0.5404, loss_attr: 0.4649, loss: 4.7717, grad_norm: 8.4863
2021-07-28 15:02:08,175 - mmdet - INFO - Epoch [2][450/2217]	lr: 8.000e-03, eta: 14:33:34, time: 2.186, data_time: 0.065, memory: 28658, loss_cls: 0.2817, loss_offset: 0.6727, loss_depth: 0.8946, loss_size: 0.8721, loss_rotsin: 0.3437, loss_centerness: 0.5782, loss_velo: 0.0606, loss_dir: 0.5312, loss_attr: 0.4687, loss: 4.7035, grad_norm: 7.9156
2021-07-28 15:03:57,551 - mmdet - INFO - Epoch [2][500/2217]	lr: 8.000e-03, eta: 14:31:44, time: 2.188, data_time: 0.061, memory: 28658, loss_cls: 0.2802, loss_offset: 0.6677, loss_depth: 0.8191, loss_size: 0.8448, loss_rotsin: 0.3495, loss_centerness: 0.5778, loss_velo: 0.0611, loss_dir: 0.5320, loss_attr: 0.4644, loss: 4.5965, grad_norm: 6.8852
2021-07-28 15:05:46,900 - mmdet - INFO - Epoch [2][550/2217]	lr: 8.000e-03, eta: 14:29:53, time: 2.187, data_time: 0.063, memory: 28658, loss_cls: 0.2815, loss_offset: 0.6664, loss_depth: 0.9189, loss_size: 0.8322, loss_rotsin: 0.3454, loss_centerness: 0.5780, loss_velo: 0.0617, loss_dir: 0.5262, loss_attr: 0.4816, loss: 4.6917, grad_norm: 8.2270
2021-07-28 15:07:35,449 - mmdet - INFO - Epoch [2][600/2217]	lr: 8.000e-03, eta: 14:27:56, time: 2.171, data_time: 0.062, memory: 28658, loss_cls: 0.2790, loss_offset: 0.6681, loss_depth: 0.9550, loss_size: 0.8432, loss_rotsin: 0.3425, loss_centerness: 0.5781, loss_velo: 0.0605, loss_dir: 0.5248, loss_attr: 0.4601, loss: 4.7113, grad_norm: 8.3187
2021-07-28 15:09:30,716 - mmdet - INFO - Epoch [2][650/2217]	lr: 8.000e-03, eta: 14:26:55, time: 2.305, data_time: 0.182, memory: 28658, loss_cls: 0.2870, loss_offset: 0.6717, loss_depth: 0.9460, loss_size: 0.8439, loss_rotsin: 0.3393, loss_centerness: 0.5781, loss_velo: 0.0620, loss_dir: 0.5276, loss_attr: 0.4909, loss: 4.7465, grad_norm: 8.3602
2021-07-28 15:11:19,778 - mmdet - INFO - Epoch [2][700/2217]	lr: 8.000e-03, eta: 14:25:01, time: 2.181, data_time: 0.056, memory: 28658, loss_cls: 0.2786, loss_offset: 0.6654, loss_depth: 0.9103, loss_size: 0.8189, loss_rotsin: 0.3415, loss_centerness: 0.5773, loss_velo: 0.0604, loss_dir: 0.5267, loss_attr: 0.4687, loss: 4.6479, grad_norm: 8.2905
2021-07-28 15:13:08,342 - mmdet - INFO - Epoch [2][750/2217]	lr: 8.000e-03, eta: 14:23:03, time: 2.171, data_time: 0.065, memory: 28658, loss_cls: 0.2818, loss_offset: 0.6685, loss_depth: 0.8898, loss_size: 0.8207, loss_rotsin: 0.3395, loss_centerness: 0.5780, loss_velo: 0.0602, loss_dir: 0.5366, loss_attr: 0.4658, loss: 4.6408, grad_norm: 7.9301
2021-07-28 15:14:56,319 - mmdet - INFO - Epoch [2][800/2217]	lr: 8.000e-03, eta: 14:21:02, time: 2.159, data_time: 0.060, memory: 28658, loss_cls: 0.2781, loss_offset: 0.6649, loss_depth: 0.9033, loss_size: 0.8448, loss_rotsin: 0.3481, loss_centerness: 0.5779, loss_velo: 0.0611, loss_dir: 0.5288, loss_attr: 0.4608, loss: 4.6679, grad_norm: 7.9973
2021-07-28 15:16:45,517 - mmdet - INFO - Epoch [2][850/2217]	lr: 8.000e-03, eta: 14:19:10, time: 2.184, data_time: 0.059, memory: 28658, loss_cls: 0.2777, loss_offset: 0.6690, loss_depth: 0.8974, loss_size: 0.8402, loss_rotsin: 0.3399, loss_centerness: 0.5782, loss_velo: 0.0601, loss_dir: 0.5276, loss_attr: 0.4701, loss: 4.6604, grad_norm: 8.4101
2021-07-28 15:18:35,983 - mmdet - INFO - Epoch [2][900/2217]	lr: 8.000e-03, eta: 14:17:27, time: 2.209, data_time: 0.061, memory: 28658, loss_cls: 0.2748, loss_offset: 0.6618, loss_depth: 0.9195, loss_size: 0.8380, loss_rotsin: 0.3369, loss_centerness: 0.5781, loss_velo: 0.0631, loss_dir: 0.5225, loss_attr: 0.4688, loss: 4.6635, grad_norm: 8.1320
2021-07-28 15:20:25,544 - mmdet - INFO - Epoch [2][950/2217]	lr: 8.000e-03, eta: 14:15:38, time: 2.191, data_time: 0.066, memory: 28658, loss_cls: 0.2775, loss_offset: 0.6659, loss_depth: 0.8804, loss_size: 0.8621, loss_rotsin: 0.3343, loss_centerness: 0.5781, loss_velo: 0.0596, loss_dir: 0.5235, loss_attr: 0.4650, loss: 4.6464, grad_norm: 8.0796
2021-07-28 15:22:17,541 - mmdet - INFO - Epoch [2][1000/2217]	lr: 8.000e-03, eta: 14:14:07, time: 2.240, data_time: 0.059, memory: 28658, loss_cls: 0.2784, loss_offset: 0.6630, loss_depth: 0.8218, loss_size: 0.8288, loss_rotsin: 0.3361, loss_centerness: 0.5777, loss_velo: 0.0606, loss_dir: 0.5142, loss_attr: 0.4571, loss: 4.5377, grad_norm: 7.0487
2021-07-28 15:24:07,623 - mmdet - INFO - Epoch [2][1050/2217]	lr: 8.000e-03, eta: 14:12:21, time: 2.202, data_time: 0.062, memory: 28658, loss_cls: 0.2745, loss_offset: 0.6597, loss_depth: 0.8291, loss_size: 0.8105, loss_rotsin: 0.3276, loss_centerness: 0.5775, loss_velo: 0.0621, loss_dir: 0.5171, loss_attr: 0.4614, loss: 4.5196, grad_norm: 7.3816
2021-07-28 15:25:59,504 - mmdet - INFO - Epoch [2][1100/2217]	lr: 8.000e-03, eta: 14:10:47, time: 2.238, data_time: 0.060, memory: 28658, loss_cls: 0.2784, loss_offset: 0.6641, loss_depth: 0.8870, loss_size: 0.8310, loss_rotsin: 0.3349, loss_centerness: 0.5776, loss_velo: 0.0639, loss_dir: 0.5120, loss_attr: 0.4557, loss: 4.6048, grad_norm: 7.9914
2021-07-28 15:27:48,759 - mmdet - INFO - Epoch [2][1150/2217]	lr: 8.000e-03, eta: 14:08:55, time: 2.185, data_time: 0.060, memory: 28658, loss_cls: 0.2722, loss_offset: 0.6485, loss_depth: 0.8670, loss_size: 0.7917, loss_rotsin: 0.3259, loss_centerness: 0.5770, loss_velo: 0.0625, loss_dir: 0.5072, loss_attr: 0.4454, loss: 4.4974, grad_norm: 8.2940
2021-07-28 15:29:39,235 - mmdet - INFO - Epoch [2][1200/2217]	lr: 8.000e-03, eta: 14:07:12, time: 2.210, data_time: 0.063, memory: 28658, loss_cls: 0.2784, loss_offset: 0.6540, loss_depth: 0.8337, loss_size: 0.8250, loss_rotsin: 0.3329, loss_centerness: 0.5774, loss_velo: 0.0647, loss_dir: 0.5154, loss_attr: 0.4755, loss: 4.5571, grad_norm: 7.5894
2021-07-28 15:31:29,090 - mmdet - INFO - Epoch [2][1250/2217]	lr: 8.000e-03, eta: 14:05:24, time: 2.197, data_time: 0.062, memory: 28658, loss_cls: 0.2781, loss_offset: 0.6554, loss_depth: 0.8222, loss_size: 0.8132, loss_rotsin: 0.3227, loss_centerness: 0.5772, loss_velo: 0.0603, loss_dir: 0.5113, loss_attr: 0.4720, loss: 4.5123, grad_norm: 7.8734
2021-07-28 15:33:18,516 - mmdet - INFO - Epoch [2][1300/2217]	lr: 8.000e-03, eta: 14:03:33, time: 2.189, data_time: 0.056, memory: 28658, loss_cls: 0.2714, loss_offset: 0.6507, loss_depth: 0.8306, loss_size: 0.8127, loss_rotsin: 0.3255, loss_centerness: 0.5774, loss_velo: 0.0594, loss_dir: 0.5107, loss_attr: 0.4404, loss: 4.4790, grad_norm: 7.9164
2021-07-28 15:35:07,646 - mmdet - INFO - Epoch [2][1350/2217]	lr: 8.000e-03, eta: 14:01:40, time: 2.183, data_time: 0.055, memory: 28658, loss_cls: 0.2743, loss_offset: 0.6478, loss_depth: 0.9687, loss_size: 0.8353, loss_rotsin: 0.3180, loss_centerness: 0.5769, loss_velo: 0.0652, loss_dir: 0.5023, loss_attr: 0.4535, loss: 4.6420, grad_norm: 9.4384
2021-07-28 15:36:57,671 - mmdet - INFO - Epoch [2][1400/2217]	lr: 8.000e-03, eta: 13:59:53, time: 2.201, data_time: 0.056, memory: 28658, loss_cls: 0.2763, loss_offset: 0.6557, loss_depth: 0.8703, loss_size: 0.8347, loss_rotsin: 0.3247, loss_centerness: 0.5773, loss_velo: 0.0624, loss_dir: 0.5099, loss_attr: 0.4496, loss: 4.5609, grad_norm: 8.0578
2021-07-28 15:38:47,946 - mmdet - INFO - Epoch [2][1450/2217]	lr: 8.000e-03, eta: 13:58:08, time: 2.205, data_time: 0.058, memory: 28658, loss_cls: 0.2741, loss_offset: 0.6514, loss_depth: 0.8190, loss_size: 0.8176, loss_rotsin: 0.3225, loss_centerness: 0.5770, loss_velo: 0.0627, loss_dir: 0.5019, loss_attr: 0.4607, loss: 4.4868, grad_norm: 7.2725
2021-07-28 15:40:38,603 - mmdet - INFO - Epoch [2][1500/2217]	lr: 8.000e-03, eta: 13:56:24, time: 2.213, data_time: 0.065, memory: 28658, loss_cls: 0.2708, loss_offset: 0.6463, loss_depth: 0.8426, loss_size: 0.8237, loss_rotsin: 0.3176, loss_centerness: 0.5765, loss_velo: 0.0618, loss_dir: 0.4991, loss_attr: 0.4474, loss: 4.4859, grad_norm: 8.1147
2021-07-28 15:42:26,957 - mmdet - INFO - Epoch [2][1550/2217]	lr: 8.000e-03, eta: 13:54:27, time: 2.167, data_time: 0.060, memory: 28658, loss_cls: 0.2762, loss_offset: 0.6599, loss_depth: 0.8922, loss_size: 0.8163, loss_rotsin: 0.3187, loss_centerness: 0.5776, loss_velo: 0.0638, loss_dir: 0.5026, loss_attr: 0.4553, loss: 4.5626, grad_norm: 8.4660
2021-07-28 15:44:16,355 - mmdet - INFO - Epoch [2][1600/2217]	lr: 8.000e-03, eta: 13:52:36, time: 2.188, data_time: 0.061, memory: 28658, loss_cls: 0.2705, loss_offset: 0.6475, loss_depth: 0.8356, loss_size: 0.8028, loss_rotsin: 0.3136, loss_centerness: 0.5769, loss_velo: 0.0608, loss_dir: 0.4917, loss_attr: 0.4379, loss: 4.4373, grad_norm: 7.7503
2021-07-28 15:46:05,144 - mmdet - INFO - Epoch [2][1650/2217]	lr: 8.000e-03, eta: 13:50:42, time: 2.176, data_time: 0.060, memory: 28658, loss_cls: 0.2691, loss_offset: 0.6444, loss_depth: 1.0368, loss_size: 0.7885, loss_rotsin: 0.3144, loss_centerness: 0.5773, loss_velo: 0.0600, loss_dir: 0.4944, loss_attr: 0.4492, loss: 4.6340, grad_norm: 9.0902
2021-07-28 15:47:56,113 - mmdet - INFO - Epoch [2][1700/2217]	lr: 8.000e-03, eta: 13:49:00, time: 2.219, data_time: 0.064, memory: 28658, loss_cls: 0.2735, loss_offset: 0.6472, loss_depth: 0.8600, loss_size: 0.8276, loss_rotsin: 0.3172, loss_centerness: 0.5774, loss_velo: 0.0598, loss_dir: 0.4984, loss_attr: 0.4242, loss: 4.4852, grad_norm: 8.3342
2021-07-28 15:49:44,470 - mmdet - INFO - Epoch [2][1750/2217]	lr: 8.000e-03, eta: 13:47:03, time: 2.167, data_time: 0.060, memory: 28658, loss_cls: 0.2726, loss_offset: 0.6452, loss_depth: 0.7875, loss_size: 0.7908, loss_rotsin: 0.3128, loss_centerness: 0.5769, loss_velo: 0.0630, loss_dir: 0.4990, loss_attr: 0.4407, loss: 4.3885, grad_norm: 6.6687
2021-07-28 15:51:33,147 - mmdet - INFO - Epoch [2][1800/2217]	lr: 8.000e-03, eta: 13:45:08, time: 2.174, data_time: 0.062, memory: 28658, loss_cls: 0.2700, loss_offset: 0.6415, loss_depth: 0.9971, loss_size: 0.8246, loss_rotsin: 0.3133, loss_centerness: 0.5763, loss_velo: 0.0628, loss_dir: 0.4989, loss_attr: 0.4428, loss: 4.6274, grad_norm: 8.8021
2021-07-28 15:53:23,375 - mmdet - INFO - Epoch [2][1850/2217]	lr: 8.000e-03, eta: 13:43:22, time: 2.205, data_time: 0.061, memory: 28658, loss_cls: 0.2659, loss_offset: 0.6402, loss_depth: 0.8092, loss_size: 0.7825, loss_rotsin: 0.3087, loss_centerness: 0.5767, loss_velo: 0.0609, loss_dir: 0.4931, loss_attr: 0.4244, loss: 4.3616, grad_norm: 7.5647
2021-07-28 15:55:15,395 - mmdet - INFO - Epoch [2][1900/2217]	lr: 8.000e-03, eta: 13:41:46, time: 2.240, data_time: 0.060, memory: 28658, loss_cls: 0.2654, loss_offset: 0.6402, loss_depth: 0.8504, loss_size: 0.7882, loss_rotsin: 0.3085, loss_centerness: 0.5770, loss_velo: 0.0592, loss_dir: 0.5032, loss_attr: 0.4199, loss: 4.4119, grad_norm: 8.0917
2021-07-28 15:57:06,491 - mmdet - INFO - Epoch [2][1950/2217]	lr: 8.000e-03, eta: 13:40:04, time: 2.222, data_time: 0.059, memory: 28658, loss_cls: 0.2664, loss_offset: 0.6327, loss_depth: 0.8116, loss_size: 0.7921, loss_rotsin: 0.3043, loss_centerness: 0.5766, loss_velo: 0.0647, loss_dir: 0.4898, loss_attr: 0.4403, loss: 4.3785, grad_norm: 7.2972
2021-07-28 15:58:57,938 - mmdet - INFO - Epoch [2][2000/2217]	lr: 8.000e-03, eta: 13:38:24, time: 2.229, data_time: 0.064, memory: 28658, loss_cls: 0.2696, loss_offset: 0.6415, loss_depth: 0.8195, loss_size: 0.7878, loss_rotsin: 0.3101, loss_centerness: 0.5770, loss_velo: 0.0613, loss_dir: 0.4939, loss_attr: 0.4421, loss: 4.4029, grad_norm: 7.7454
2021-07-28 16:00:47,547 - mmdet - INFO - Epoch [2][2050/2217]	lr: 8.000e-03, eta: 13:36:34, time: 2.192, data_time: 0.060, memory: 28658, loss_cls: 0.2703, loss_offset: 0.6392, loss_depth: 0.7878, loss_size: 0.8081, loss_rotsin: 0.3059, loss_centerness: 0.5767, loss_velo: 0.0606, loss_dir: 0.4897, loss_attr: 0.4465, loss: 4.3847, grad_norm: 6.9697
2021-07-28 16:02:37,065 - mmdet - INFO - Epoch [2][2100/2217]	lr: 8.000e-03, eta: 13:34:43, time: 2.190, data_time: 0.057, memory: 28658, loss_cls: 0.2662, loss_offset: 0.6392, loss_depth: 0.8538, loss_size: 0.7807, loss_rotsin: 0.2987, loss_centerness: 0.5763, loss_velo: 0.0629, loss_dir: 0.4839, loss_attr: 0.4174, loss: 4.3791, grad_norm: 8.0950
2021-07-28 16:04:29,656 - mmdet - INFO - Epoch [2][2150/2217]	lr: 8.000e-03, eta: 13:33:09, time: 2.252, data_time: 0.059, memory: 28658, loss_cls: 0.2665, loss_offset: 0.6395, loss_depth: 0.8320, loss_size: 0.7696, loss_rotsin: 0.2938, loss_centerness: 0.5765, loss_velo: 0.0609, loss_dir: 0.4924, loss_attr: 0.4299, loss: 4.3610, grad_norm: 7.8870
2021-07-28 16:06:18,921 - mmdet - INFO - Epoch [2][2200/2217]	lr: 8.000e-03, eta: 13:31:17, time: 2.185, data_time: 0.059, memory: 28658, loss_cls: 0.2716, loss_offset: 0.6397, loss_depth: 0.7963, loss_size: 0.8187, loss_rotsin: 0.3031, loss_centerness: 0.5766, loss_velo: 0.0631, loss_dir: 0.4923, loss_attr: 0.4398, loss: 4.4011, grad_norm: 7.5603
2021-07-28 16:06:55,717 - mmdet - INFO - Saving checkpoint at 2 epochs
2021-07-28 16:08:58,348 - mmdet - INFO - Epoch [3][50/2217]	lr: 8.000e-03, eta: 13:26:29, time: 2.372, data_time: 0.256, memory: 28658, loss_cls: 0.2615, loss_offset: 0.6251, loss_depth: 0.8168, loss_size: 0.7473, loss_rotsin: 0.2898, loss_centerness: 0.5762, loss_velo: 0.0607, loss_dir: 0.4776, loss_attr: 0.3748, loss: 4.2298, grad_norm: 7.8209
2021-07-28 16:10:46,563 - mmdet - INFO - Epoch [3][100/2217]	lr: 8.000e-03, eta: 13:24:34, time: 2.164, data_time: 0.066, memory: 28658, loss_cls: 0.2618, loss_offset: 0.6238, loss_depth: 0.8473, loss_size: 0.7511, loss_rotsin: 0.2938, loss_centerness: 0.5762, loss_velo: 0.0606, loss_dir: 0.4785, loss_attr: 0.3925, loss: 4.2857, grad_norm: 8.2901
2021-07-28 16:12:39,413 - mmdet - INFO - Epoch [3][150/2217]	lr: 8.000e-03, eta: 13:23:02, time: 2.257, data_time: 0.108, memory: 28658, loss_cls: 0.2623, loss_offset: 0.6249, loss_depth: 0.8062, loss_size: 0.7284, loss_rotsin: 0.2958, loss_centerness: 0.5762, loss_velo: 0.0632, loss_dir: 0.4839, loss_attr: 0.4034, loss: 4.2444, grad_norm: 7.6524
2021-07-28 16:14:28,300 - mmdet - INFO - Epoch [3][200/2217]	lr: 8.000e-03, eta: 13:21:10, time: 2.178, data_time: 0.059, memory: 28658, loss_cls: 0.2608, loss_offset: 0.6244, loss_depth: 0.7860, loss_size: 0.7362, loss_rotsin: 0.2991, loss_centerness: 0.5766, loss_velo: 0.0609, loss_dir: 0.4805, loss_attr: 0.4015, loss: 4.2260, grad_norm: 7.2905
2021-07-28 16:16:16,228 - mmdet - INFO - Epoch [3][250/2217]	lr: 8.000e-03, eta: 13:19:14, time: 2.158, data_time: 0.058, memory: 28658, loss_cls: 0.2621, loss_offset: 0.6261, loss_depth: 0.7361, loss_size: 0.7655, loss_rotsin: 0.2883, loss_centerness: 0.5760, loss_velo: 0.0646, loss_dir: 0.4788, loss_attr: 0.3958, loss: 4.1933, grad_norm: 6.9902
2021-07-28 16:18:08,199 - mmdet - INFO - Epoch [3][300/2217]	lr: 8.000e-03, eta: 13:17:36, time: 2.240, data_time: 0.058, memory: 28658, loss_cls: 0.2602, loss_offset: 0.6189, loss_depth: 0.7134, loss_size: 0.7254, loss_rotsin: 0.2959, loss_centerness: 0.5756, loss_velo: 0.0611, loss_dir: 0.4779, loss_attr: 0.3859, loss: 4.1143, grad_norm: 6.6873
2021-07-28 16:19:59,759 - mmdet - INFO - Epoch [3][350/2217]	lr: 8.000e-03, eta: 13:15:57, time: 2.231, data_time: 0.064, memory: 28658, loss_cls: 0.2638, loss_offset: 0.6275, loss_depth: 0.7673, loss_size: 0.7301, loss_rotsin: 0.3010, loss_centerness: 0.5759, loss_velo: 0.0612, loss_dir: 0.4790, loss_attr: 0.4004, loss: 4.2060, grad_norm: 7.4947
2021-07-28 16:21:50,814 - mmdet - INFO - Epoch [3][400/2217]	lr: 8.000e-03, eta: 13:14:14, time: 2.221, data_time: 0.067, memory: 28658, loss_cls: 0.2615, loss_offset: 0.6275, loss_depth: 1.0601, loss_size: 0.7353, loss_rotsin: 0.2933, loss_centerness: 0.5760, loss_velo: 0.0627, loss_dir: 0.4807, loss_attr: 0.3946, loss: 4.4918, grad_norm: 9.2960
2021-07-28 16:23:42,816 - mmdet - INFO - Epoch [3][450/2217]	lr: 8.000e-03, eta: 13:12:36, time: 2.240, data_time: 0.063, memory: 28658, loss_cls: 0.2616, loss_offset: 0.6241, loss_depth: 0.8020, loss_size: 0.7527, loss_rotsin: 0.2838, loss_centerness: 0.5758, loss_velo: 0.0633, loss_dir: 0.4759, loss_attr: 0.4142, loss: 4.2533, grad_norm: 7.4784
2021-07-28 16:25:35,437 - mmdet - INFO - Epoch [3][500/2217]	lr: 8.000e-03, eta: 13:11:01, time: 2.253, data_time: 0.065, memory: 28658, loss_cls: 0.2617, loss_offset: 0.6229, loss_depth: 0.7295, loss_size: 0.7318, loss_rotsin: 0.2965, loss_centerness: 0.5758, loss_velo: 0.0605, loss_dir: 0.4809, loss_attr: 0.4054, loss: 4.1649, grad_norm: 6.9569
2021-07-28 16:27:27,881 - mmdet - INFO - Epoch [3][550/2217]	lr: 8.000e-03, eta: 13:09:24, time: 2.249, data_time: 0.067, memory: 28658, loss_cls: 0.2619, loss_offset: 0.6249, loss_depth: 0.8142, loss_size: 0.7253, loss_rotsin: 0.2900, loss_centerness: 0.5756, loss_velo: 0.0613, loss_dir: 0.4843, loss_attr: 0.3984, loss: 4.2360, grad_norm: 7.7688
2021-07-28 16:29:20,064 - mmdet - INFO - Epoch [3][600/2217]	lr: 8.000e-03, eta: 13:07:46, time: 2.244, data_time: 0.066, memory: 28658, loss_cls: 0.2546, loss_offset: 0.6200, loss_depth: 0.7966, loss_size: 0.7368, loss_rotsin: 0.2800, loss_centerness: 0.5759, loss_velo: 0.0637, loss_dir: 0.4698, loss_attr: 0.3958, loss: 4.1932, grad_norm: 7.7694
2021-07-28 16:31:11,155 - mmdet - INFO - Epoch [3][650/2217]	lr: 8.000e-03, eta: 13:06:03, time: 2.222, data_time: 0.063, memory: 28658, loss_cls: 0.2603, loss_offset: 0.6358, loss_depth: 0.7775, loss_size: 0.7499, loss_rotsin: 0.3005, loss_centerness: 0.5765, loss_velo: 0.0589, loss_dir: 0.4895, loss_attr: 0.4128, loss: 4.2617, grad_norm: 7.8414
2021-07-28 16:33:02,341 - mmdet - INFO - Epoch [3][700/2217]	lr: 8.000e-03, eta: 13:04:20, time: 2.224, data_time: 0.061, memory: 28658, loss_cls: 0.2586, loss_offset: 0.6210, loss_depth: 0.8193, loss_size: 0.7344, loss_rotsin: 0.2863, loss_centerness: 0.5754, loss_velo: 0.0645, loss_dir: 0.4714, loss_attr: 0.3870, loss: 4.2179, grad_norm: 8.1001
2021-07-28 16:34:53,948 - mmdet - INFO - Epoch [3][750/2217]	lr: 8.000e-03, eta: 13:02:38, time: 2.232, data_time: 0.060, memory: 28658, loss_cls: 0.2598, loss_offset: 0.6157, loss_depth: 0.8708, loss_size: 0.7347, loss_rotsin: 0.2753, loss_centerness: 0.5754, loss_velo: 0.0618, loss_dir: 0.4599, loss_attr: 0.3992, loss: 4.2525, grad_norm: 9.1150
2021-07-28 16:36:44,571 - mmdet - INFO - Epoch [3][800/2217]	lr: 8.000e-03, eta: 13:00:53, time: 2.212, data_time: 0.063, memory: 28658, loss_cls: 0.2621, loss_offset: 0.6273, loss_depth: 0.7902, loss_size: 0.7811, loss_rotsin: 0.2843, loss_centerness: 0.5757, loss_velo: 0.0619, loss_dir: 0.4702, loss_attr: 0.3971, loss: 4.2499, grad_norm: 7.6362
2021-07-28 16:38:35,376 - mmdet - INFO - Epoch [3][850/2217]	lr: 8.000e-03, eta: 12:59:08, time: 2.216, data_time: 0.060, memory: 28658, loss_cls: 0.2614, loss_offset: 0.6242, loss_depth: 0.8001, loss_size: 0.7540, loss_rotsin: 0.2937, loss_centerness: 0.5757, loss_velo: 0.0621, loss_dir: 0.4760, loss_attr: 0.3936, loss: 4.2409, grad_norm: 8.1911
2021-07-28 16:40:26,090 - mmdet - INFO - Epoch [3][900/2217]	lr: 8.000e-03, eta: 12:57:23, time: 2.214, data_time: 0.058, memory: 28658, loss_cls: 0.2586, loss_offset: 0.6214, loss_depth: 0.7284, loss_size: 0.7436, loss_rotsin: 0.2820, loss_centerness: 0.5756, loss_velo: 0.0581, loss_dir: 0.4688, loss_attr: 0.3915, loss: 4.1280, grad_norm: 6.9018
2021-07-28 16:42:16,826 - mmdet - INFO - Epoch [3][950/2217]	lr: 8.000e-03, eta: 12:55:37, time: 2.215, data_time: 0.061, memory: 28658, loss_cls: 0.2583, loss_offset: 0.6166, loss_depth: 0.8100, loss_size: 0.7020, loss_rotsin: 0.2868, loss_centerness: 0.5754, loss_velo: 0.0606, loss_dir: 0.4720, loss_attr: 0.3816, loss: 4.1632, grad_norm: 8.1247
2021-07-28 16:44:07,380 - mmdet - INFO - Epoch [3][1000/2217]	lr: 8.000e-03, eta: 12:53:51, time: 2.211, data_time: 0.063, memory: 28658, loss_cls: 0.2582, loss_offset: 0.6188, loss_depth: 0.8156, loss_size: 0.7439, loss_rotsin: 0.2896, loss_centerness: 0.5756, loss_velo: 0.0623, loss_dir: 0.4745, loss_attr: 0.3887, loss: 4.2272, grad_norm: 8.2745
2021-07-28 16:45:59,731 - mmdet - INFO - Epoch [3][1050/2217]	lr: 8.000e-03, eta: 12:52:12, time: 2.247, data_time: 0.061, memory: 28658, loss_cls: 0.2554, loss_offset: 0.6187, loss_depth: 0.8987, loss_size: 0.7123, loss_rotsin: 0.2793, loss_centerness: 0.5755, loss_velo: 0.0621, loss_dir: 0.4580, loss_attr: 0.3769, loss: 4.2369, grad_norm: 9.0179
2021-07-28 16:47:52,133 - mmdet - INFO - Epoch [3][1100/2217]	lr: 8.000e-03, eta: 12:50:33, time: 2.248, data_time: 0.060, memory: 28658, loss_cls: 0.2549, loss_offset: 0.6173, loss_depth: 0.7895, loss_size: 0.7241, loss_rotsin: 0.2875, loss_centerness: 0.5755, loss_velo: 0.0607, loss_dir: 0.4657, loss_attr: 0.3775, loss: 4.1527, grad_norm: 7.8079
2021-07-28 16:49:43,879 - mmdet - INFO - Epoch [3][1150/2217]	lr: 8.000e-03, eta: 12:48:50, time: 2.235, data_time: 0.059, memory: 28658, loss_cls: 0.2623, loss_offset: 0.6234, loss_depth: 0.8541, loss_size: 0.7587, loss_rotsin: 0.2845, loss_centerness: 0.5755, loss_velo: 0.0595, loss_dir: 0.4702, loss_attr: 0.3937, loss: 4.2819, grad_norm: 8.2486
2021-07-28 16:51:32,754 - mmdet - INFO - Epoch [3][1200/2217]	lr: 8.000e-03, eta: 12:46:58, time: 2.178, data_time: 0.059, memory: 28658, loss_cls: 0.2572, loss_offset: 0.6152, loss_depth: 0.7981, loss_size: 0.7415, loss_rotsin: 0.2830, loss_centerness: 0.5756, loss_velo: 0.0607, loss_dir: 0.4660, loss_attr: 0.3837, loss: 4.1811, grad_norm: 7.5042
2021-07-28 16:53:22,718 - mmdet - INFO - Epoch [3][1250/2217]	lr: 8.000e-03, eta: 12:45:09, time: 2.199, data_time: 0.059, memory: 28658, loss_cls: 0.2570, loss_offset: 0.6188, loss_depth: 0.7288, loss_size: 0.7298, loss_rotsin: 0.2775, loss_centerness: 0.5758, loss_velo: 0.0632, loss_dir: 0.4673, loss_attr: 0.3975, loss: 4.1157, grad_norm: 6.7538
2021-07-28 16:55:11,820 - mmdet - INFO - Epoch [3][1300/2217]	lr: 8.000e-03, eta: 12:43:17, time: 2.182, data_time: 0.062, memory: 28658, loss_cls: 0.2569, loss_offset: 0.6132, loss_depth: 0.7584, loss_size: 0.7370, loss_rotsin: 0.2780, loss_centerness: 0.5753, loss_velo: 0.0571, loss_dir: 0.4600, loss_attr: 0.3968, loss: 4.1327, grad_norm: 7.6199
2021-07-28 16:57:00,372 - mmdet - INFO - Epoch [3][1350/2217]	lr: 8.000e-03, eta: 12:41:23, time: 2.171, data_time: 0.059, memory: 28658, loss_cls: 0.2580, loss_offset: 0.6158, loss_depth: 0.8143, loss_size: 0.7266, loss_rotsin: 0.2783, loss_centerness: 0.5761, loss_velo: 0.0609, loss_dir: 0.4679, loss_attr: 0.3849, loss: 4.1828, grad_norm: 8.0225
2021-07-28 16:58:49,146 - mmdet - INFO - Epoch [3][1400/2217]	lr: 8.000e-03, eta: 12:39:30, time: 2.176, data_time: 0.059, memory: 28658, loss_cls: 0.2559, loss_offset: 0.6166, loss_depth: 0.7747, loss_size: 0.7393, loss_rotsin: 0.2788, loss_centerness: 0.5751, loss_velo: 0.0589, loss_dir: 0.4664, loss_attr: 0.3803, loss: 4.1460, grad_norm: 7.5934
2021-07-28 17:00:41,980 - mmdet - INFO - Epoch [3][1450/2217]	lr: 8.000e-03, eta: 12:37:51, time: 2.256, data_time: 0.062, memory: 28658, loss_cls: 0.2572, loss_offset: 0.6140, loss_depth: 0.9749, loss_size: 0.7194, loss_rotsin: 0.2785, loss_centerness: 0.5752, loss_velo: 0.0616, loss_dir: 0.4616, loss_attr: 0.3838, loss: 4.3263, grad_norm: 9.5601
2021-07-28 17:02:35,050 - mmdet - INFO - Epoch [3][1500/2217]	lr: 8.000e-03, eta: 12:36:13, time: 2.261, data_time: 0.057, memory: 28658, loss_cls: 0.2557, loss_offset: 0.6086, loss_depth: 0.8176, loss_size: 0.7178, loss_rotsin: 0.2733, loss_centerness: 0.5748, loss_velo: 0.0604, loss_dir: 0.4578, loss_attr: 0.3801, loss: 4.1462, grad_norm: 8.1344
2021-07-28 17:04:26,991 - mmdet - INFO - Epoch [3][1550/2217]	lr: 8.000e-03, eta: 12:34:31, time: 2.239, data_time: 0.058, memory: 28658, loss_cls: 0.2601, loss_offset: 0.6202, loss_depth: 0.8173, loss_size: 0.7285, loss_rotsin: 0.2785, loss_centerness: 0.5755, loss_velo: 0.0618, loss_dir: 0.4664, loss_attr: 0.3882, loss: 4.1965, grad_norm: 7.9082
2021-07-28 17:06:17,425 - mmdet - INFO - Epoch [3][1600/2217]	lr: 8.000e-03, eta: 12:32:43, time: 2.209, data_time: 0.059, memory: 28658, loss_cls: 0.2581, loss_offset: 0.6265, loss_depth: 0.7942, loss_size: 0.7268, loss_rotsin: 0.2774, loss_centerness: 0.5761, loss_velo: 0.0585, loss_dir: 0.4651, loss_attr: 0.3720, loss: 4.1548, grad_norm: 7.4221
2021-07-28 17:08:07,734 - mmdet - INFO - Epoch [3][1650/2217]	lr: 8.000e-03, eta: 12:30:55, time: 2.206, data_time: 0.059, memory: 28658, loss_cls: 0.2581, loss_offset: 0.6087, loss_depth: 0.8147, loss_size: 0.7413, loss_rotsin: 0.2792, loss_centerness: 0.5756, loss_velo: 0.0632, loss_dir: 0.4601, loss_attr: 0.3735, loss: 4.1743, grad_norm: 8.1893
2021-07-28 17:09:56,933 - mmdet - INFO - Epoch [3][1700/2217]	lr: 8.000e-03, eta: 12:29:04, time: 2.184, data_time: 0.058, memory: 28658, loss_cls: 0.2574, loss_offset: 0.6090, loss_depth: 1.0618, loss_size: 0.7260, loss_rotsin: 0.2751, loss_centerness: 0.5750, loss_velo: 0.0641, loss_dir: 0.4536, loss_attr: 0.3760, loss: 4.3980, grad_norm: 9.4473
2021-07-28 17:11:47,633 - mmdet - INFO - Epoch [3][1750/2217]	lr: 8.000e-03, eta: 12:27:17, time: 2.214, data_time: 0.058, memory: 28658, loss_cls: 0.2573, loss_offset: 0.6144, loss_depth: 0.7475, loss_size: 0.7396, loss_rotsin: 0.2826, loss_centerness: 0.5754, loss_velo: 0.0594, loss_dir: 0.4555, loss_attr: 0.3823, loss: 4.1141, grad_norm: 7.4057
2021-07-28 17:13:38,216 - mmdet - INFO - Epoch [3][1800/2217]	lr: 8.000e-03, eta: 12:25:30, time: 2.211, data_time: 0.058, memory: 28658, loss_cls: 0.2511, loss_offset: 0.6045, loss_depth: 0.8260, loss_size: 0.6997, loss_rotsin: 0.2673, loss_centerness: 0.5751, loss_velo: 0.0587, loss_dir: 0.4528, loss_attr: 0.3740, loss: 4.1093, grad_norm: 7.9658
2021-07-28 17:15:28,110 - mmdet - INFO - Epoch [3][1850/2217]	lr: 8.000e-03, eta: 12:23:40, time: 2.198, data_time: 0.058, memory: 28658, loss_cls: 0.2538, loss_offset: 0.6043, loss_depth: 0.8103, loss_size: 0.7185, loss_rotsin: 0.2757, loss_centerness: 0.5751, loss_velo: 0.0617, loss_dir: 0.4521, loss_attr: 0.3663, loss: 4.1177, grad_norm: 7.3041
2021-07-28 17:17:16,760 - mmdet - INFO - Epoch [3][1900/2217]	lr: 8.000e-03, eta: 12:21:47, time: 2.173, data_time: 0.063, memory: 28658, loss_cls: 0.2544, loss_offset: 0.6092, loss_depth: 0.7503, loss_size: 0.7151, loss_rotsin: 0.2757, loss_centerness: 0.5751, loss_velo: 0.0668, loss_dir: 0.4567, loss_attr: 0.3891, loss: 4.0924, grad_norm: 7.7324
2021-07-28 17:19:05,559 - mmdet - INFO - Epoch [3][1950/2217]	lr: 8.000e-03, eta: 12:19:54, time: 2.176, data_time: 0.060, memory: 28658, loss_cls: 0.2563, loss_offset: 0.6097, loss_depth: 0.7580, loss_size: 0.7262, loss_rotsin: 0.2723, loss_centerness: 0.5754, loss_velo: 0.0620, loss_dir: 0.4431, loss_attr: 0.3611, loss: 4.0641, grad_norm: 7.5604
2021-07-28 17:20:55,787 - mmdet - INFO - Epoch [3][2000/2217]	lr: 8.000e-03, eta: 12:18:05, time: 2.205, data_time: 0.060, memory: 28658, loss_cls: 0.2562, loss_offset: 0.6121, loss_depth: 0.8040, loss_size: 0.7458, loss_rotsin: 0.2803, loss_centerness: 0.5754, loss_velo: 0.0616, loss_dir: 0.4582, loss_attr: 0.3774, loss: 4.1710, grad_norm: 8.0718
2021-07-28 17:22:50,927 - mmdet - INFO - Epoch [3][2050/2217]	lr: 8.000e-03, eta: 12:16:32, time: 2.303, data_time: 0.145, memory: 28658, loss_cls: 0.2525, loss_offset: 0.6078, loss_depth: 0.7718, loss_size: 0.7049, loss_rotsin: 0.2692, loss_centerness: 0.5754, loss_velo: 0.0611, loss_dir: 0.4540, loss_attr: 0.3589, loss: 4.0557, grad_norm: 7.9711
2021-07-28 17:24:40,429 - mmdet - INFO - Epoch [3][2100/2217]	lr: 8.000e-03, eta: 12:14:41, time: 2.190, data_time: 0.060, memory: 28658, loss_cls: 0.2564, loss_offset: 0.6125, loss_depth: 0.7852, loss_size: 0.7191, loss_rotsin: 0.2779, loss_centerness: 0.5750, loss_velo: 0.0613, loss_dir: 0.4544, loss_attr: 0.3623, loss: 4.1041, grad_norm: 7.9136
2021-07-28 17:26:31,600 - mmdet - INFO - Epoch [3][2150/2217]	lr: 8.000e-03, eta: 12:12:56, time: 2.223, data_time: 0.063, memory: 28658, loss_cls: 0.2538, loss_offset: 0.6125, loss_depth: 0.7327, loss_size: 0.7222, loss_rotsin: 0.2694, loss_centerness: 0.5758, loss_velo: 0.0602, loss_dir: 0.4571, loss_attr: 0.3711, loss: 4.0547, grad_norm: 6.7234
2021-07-28 17:28:23,133 - mmdet - INFO - Epoch [3][2200/2217]	lr: 8.000e-03, eta: 12:11:11, time: 2.231, data_time: 0.060, memory: 28658, loss_cls: 0.2537, loss_offset: 0.6032, loss_depth: 0.7358, loss_size: 0.7170, loss_rotsin: 0.2679, loss_centerness: 0.5748, loss_velo: 0.0636, loss_dir: 0.4403, loss_attr: 0.3710, loss: 4.0273, grad_norm: 7.0907
2021-07-28 17:29:00,735 - mmdet - INFO - Saving checkpoint at 3 epochs
2021-07-28 17:31:01,622 - mmdet - INFO - Epoch [4][50/2217]	lr: 8.000e-03, eta: 12:07:22, time: 2.390, data_time: 0.199, memory: 28658, loss_cls: 0.2503, loss_offset: 0.6018, loss_depth: 0.7457, loss_size: 0.6925, loss_rotsin: 0.2677, loss_centerness: 0.5750, loss_velo: 0.0634, loss_dir: 0.4531, loss_attr: 0.3397, loss: 3.9893, grad_norm: 7.2884
2021-07-28 17:32:53,011 - mmdet - INFO - Epoch [4][100/2217]	lr: 8.000e-03, eta: 12:05:37, time: 2.228, data_time: 0.058, memory: 28658, loss_cls: 0.2473, loss_offset: 0.5953, loss_depth: 0.7394, loss_size: 0.6690, loss_rotsin: 0.2610, loss_centerness: 0.5743, loss_velo: 0.0589, loss_dir: 0.4442, loss_attr: 0.3429, loss: 3.9322, grad_norm: 8.1155
2021-07-28 17:34:43,616 - mmdet - INFO - Epoch [4][150/2217]	lr: 8.000e-03, eta: 12:03:50, time: 2.212, data_time: 0.056, memory: 28658, loss_cls: 0.2450, loss_offset: 0.5871, loss_depth: 0.7212, loss_size: 0.6720, loss_rotsin: 0.2579, loss_centerness: 0.5739, loss_velo: 0.0616, loss_dir: 0.4361, loss_attr: 0.3370, loss: 3.8919, grad_norm: 7.4773
2021-07-28 17:36:35,457 - mmdet - INFO - Epoch [4][200/2217]	lr: 8.000e-03, eta: 12:02:07, time: 2.237, data_time: 0.061, memory: 28658, loss_cls: 0.2507, loss_offset: 0.5988, loss_depth: 0.9249, loss_size: 0.6771, loss_rotsin: 0.2620, loss_centerness: 0.5744, loss_velo: 0.0627, loss_dir: 0.4415, loss_attr: 0.3464, loss: 4.1386, grad_norm: 9.0935
2021-07-28 17:38:27,612 - mmdet - INFO - Epoch [4][250/2217]	lr: 8.000e-03, eta: 12:00:24, time: 2.243, data_time: 0.059, memory: 28658, loss_cls: 0.2464, loss_offset: 0.5968, loss_depth: 0.7315, loss_size: 0.6769, loss_rotsin: 0.2597, loss_centerness: 0.5748, loss_velo: 0.0587, loss_dir: 0.4426, loss_attr: 0.3247, loss: 3.9122, grad_norm: 7.3443
2021-07-28 17:40:18,981 - mmdet - INFO - Epoch [4][300/2217]	lr: 8.000e-03, eta: 11:58:39, time: 2.227, data_time: 0.057, memory: 28658, loss_cls: 0.2470, loss_offset: 0.5893, loss_depth: 0.6863, loss_size: 0.6787, loss_rotsin: 0.2573, loss_centerness: 0.5742, loss_velo: 0.0580, loss_dir: 0.4387, loss_attr: 0.3317, loss: 3.8613, grad_norm: 7.0456
2021-07-28 17:42:08,823 - mmdet - INFO - Epoch [4][350/2217]	lr: 8.000e-03, eta: 11:56:50, time: 2.197, data_time: 0.058, memory: 28658, loss_cls: 0.2534, loss_offset: 0.6004, loss_depth: 0.7518, loss_size: 0.6952, loss_rotsin: 0.2659, loss_centerness: 0.5745, loss_velo: 0.0610, loss_dir: 0.4380, loss_attr: 0.3518, loss: 3.9919, grad_norm: 8.3715
2021-07-28 17:43:58,288 - mmdet - INFO - Epoch [4][400/2217]	lr: 8.000e-03, eta: 11:55:00, time: 2.189, data_time: 0.060, memory: 28658, loss_cls: 0.2481, loss_offset: 0.5952, loss_depth: 0.8131, loss_size: 0.6911, loss_rotsin: 0.2577, loss_centerness: 0.5751, loss_velo: 0.0612, loss_dir: 0.4363, loss_attr: 0.3436, loss: 4.0213, grad_norm: 8.6173
2021-07-28 17:45:49,303 - mmdet - INFO - Epoch [4][450/2217]	lr: 8.000e-03, eta: 11:53:13, time: 2.220, data_time: 0.061, memory: 28667, loss_cls: 0.2481, loss_offset: 0.5969, loss_depth: 0.8496, loss_size: 0.6956, loss_rotsin: 0.2625, loss_centerness: 0.5746, loss_velo: 0.0631, loss_dir: 0.4468, loss_attr: 0.3381, loss: 4.0752, grad_norm: 9.0951
2021-07-28 17:47:37,986 - mmdet - INFO - Epoch [4][500/2217]	lr: 8.000e-03, eta: 11:51:21, time: 2.174, data_time: 0.057, memory: 28667, loss_cls: 0.2448, loss_offset: 0.5888, loss_depth: 0.7322, loss_size: 0.6780, loss_rotsin: 0.2591, loss_centerness: 0.5739, loss_velo: 0.0590, loss_dir: 0.4315, loss_attr: 0.3266, loss: 3.8938, grad_norm: 7.8706
2021-07-28 17:49:26,019 - mmdet - INFO - Epoch [4][550/2217]	lr: 8.000e-03, eta: 11:49:27, time: 2.161, data_time: 0.062, memory: 28667, loss_cls: 0.2470, loss_offset: 0.5914, loss_depth: 0.7257, loss_size: 0.6537, loss_rotsin: 0.2563, loss_centerness: 0.5743, loss_velo: 0.0646, loss_dir: 0.4382, loss_attr: 0.3520, loss: 3.9030, grad_norm: 7.8696
2021-07-28 17:51:15,473 - mmdet - INFO - Epoch [4][600/2217]	lr: 8.000e-03, eta: 11:47:36, time: 2.189, data_time: 0.057, memory: 28667, loss_cls: 0.2474, loss_offset: 0.5916, loss_depth: 0.7000, loss_size: 0.7002, loss_rotsin: 0.2579, loss_centerness: 0.5741, loss_velo: 0.0652, loss_dir: 0.4287, loss_attr: 0.3356, loss: 3.9007, grad_norm: 7.2572
2021-07-28 17:53:05,492 - mmdet - INFO - Epoch [4][650/2217]	lr: 8.000e-03, eta: 11:45:48, time: 2.200, data_time: 0.059, memory: 28667, loss_cls: 0.2484, loss_offset: 0.5951, loss_depth: 0.7282, loss_size: 0.6744, loss_rotsin: 0.2600, loss_centerness: 0.5743, loss_velo: 0.0609, loss_dir: 0.4406, loss_attr: 0.3251, loss: 3.9069, grad_norm: 8.0138
2021-07-28 17:54:54,421 - mmdet - INFO - Epoch [4][700/2217]	lr: 8.000e-03, eta: 11:43:56, time: 2.179, data_time: 0.061, memory: 28667, loss_cls: 0.2503, loss_offset: 0.6016, loss_depth: 0.7388, loss_size: 0.6829, loss_rotsin: 0.2647, loss_centerness: 0.5742, loss_velo: 0.0603, loss_dir: 0.4420, loss_attr: 0.3453, loss: 3.9602, grad_norm: 7.6859
2021-07-28 17:56:43,279 - mmdet - INFO - Epoch [4][750/2217]	lr: 8.000e-03, eta: 11:42:04, time: 2.177, data_time: 0.059, memory: 28667, loss_cls: 0.2455, loss_offset: 0.5971, loss_depth: 0.7142, loss_size: 0.6868, loss_rotsin: 0.2561, loss_centerness: 0.5747, loss_velo: 0.0589, loss_dir: 0.4376, loss_attr: 0.3363, loss: 3.9072, grad_norm: 7.4963
2021-07-28 17:58:33,777 - mmdet - INFO - Epoch [4][800/2217]	lr: 8.000e-03, eta: 11:40:16, time: 2.210, data_time: 0.061, memory: 28667, loss_cls: 0.2506, loss_offset: 0.5926, loss_depth: 0.7318, loss_size: 0.6890, loss_rotsin: 0.2617, loss_centerness: 0.5746, loss_velo: 0.0639, loss_dir: 0.4276, loss_attr: 0.3400, loss: 3.9317, grad_norm: 7.5812
2021-07-28 18:00:24,579 - mmdet - INFO - Epoch [4][850/2217]	lr: 8.000e-03, eta: 11:38:30, time: 2.216, data_time: 0.057, memory: 28667, loss_cls: 0.2440, loss_offset: 0.5873, loss_depth: 0.7558, loss_size: 0.6667, loss_rotsin: 0.2529, loss_centerness: 0.5743, loss_velo: 0.0621, loss_dir: 0.4301, loss_attr: 0.3394, loss: 3.9125, grad_norm: 8.0974
2021-07-28 18:02:16,495 - mmdet - INFO - Epoch [4][900/2217]	lr: 8.000e-03, eta: 11:36:46, time: 2.238, data_time: 0.060, memory: 28667, loss_cls: 0.2481, loss_offset: 0.5935, loss_depth: 0.7033, loss_size: 0.6672, loss_rotsin: 0.2573, loss_centerness: 0.5742, loss_velo: 0.0639, loss_dir: 0.4434, loss_attr: 0.3412, loss: 3.8922, grad_norm: 7.6473
2021-07-28 18:04:08,365 - mmdet - INFO - Epoch [4][950/2217]	lr: 8.000e-03, eta: 11:35:01, time: 2.237, data_time: 0.056, memory: 28667, loss_cls: 0.2503, loss_offset: 0.5924, loss_depth: 0.8692, loss_size: 0.6977, loss_rotsin: 0.2631, loss_centerness: 0.5743, loss_velo: 0.0629, loss_dir: 0.4380, loss_attr: 0.3586, loss: 4.1064, grad_norm: 9.0866
2021-07-28 18:05:58,604 - mmdet - INFO - Epoch [4][1000/2217]	lr: 8.000e-03, eta: 11:33:13, time: 2.205, data_time: 0.059, memory: 28667, loss_cls: 0.2452, loss_offset: 0.5884, loss_depth: 0.7514, loss_size: 0.6769, loss_rotsin: 0.2608, loss_centerness: 0.5746, loss_velo: 0.0643, loss_dir: 0.4354, loss_attr: 0.3414, loss: 3.9385, grad_norm: 7.8494
2021-07-28 18:07:52,406 - mmdet - INFO - Epoch [4][1050/2217]	lr: 8.000e-03, eta: 11:31:33, time: 2.276, data_time: 0.057, memory: 28667, loss_cls: 0.2462, loss_offset: 0.5961, loss_depth: 0.7513, loss_size: 0.6877, loss_rotsin: 0.2575, loss_centerness: 0.5746, loss_velo: 0.0578, loss_dir: 0.4304, loss_attr: 0.3202, loss: 3.9218, grad_norm: 8.0968
2021-07-28 18:09:45,732 - mmdet - INFO - Epoch [4][1100/2217]	lr: 8.000e-03, eta: 11:29:52, time: 2.266, data_time: 0.059, memory: 28667, loss_cls: 0.2481, loss_offset: 0.5972, loss_depth: 0.7087, loss_size: 0.6806, loss_rotsin: 0.2619, loss_centerness: 0.5747, loss_velo: 0.0573, loss_dir: 0.4364, loss_attr: 0.3491, loss: 3.9139, grad_norm: 7.1577
2021-07-28 18:11:38,103 - mmdet - INFO - Epoch [4][1150/2217]	lr: 8.000e-03, eta: 11:28:08, time: 2.247, data_time: 0.060, memory: 28667, loss_cls: 0.2479, loss_offset: 0.5921, loss_depth: 0.8795, loss_size: 0.6671, loss_rotsin: 0.2631, loss_centerness: 0.5742, loss_velo: 0.0623, loss_dir: 0.4370, loss_attr: 0.3432, loss: 4.0665, grad_norm: 8.8291
2021-07-28 18:13:28,478 - mmdet - INFO - Epoch [4][1200/2217]	lr: 8.000e-03, eta: 11:26:20, time: 2.208, data_time: 0.055, memory: 28667, loss_cls: 0.2454, loss_offset: 0.5860, loss_depth: 0.7202, loss_size: 0.6739, loss_rotsin: 0.2552, loss_centerness: 0.5745, loss_velo: 0.0618, loss_dir: 0.4246, loss_attr: 0.3285, loss: 3.8701, grad_norm: 7.3357
2021-07-28 18:15:20,670 - mmdet - INFO - Epoch [4][1250/2217]	lr: 8.000e-03, eta: 11:24:36, time: 2.244, data_time: 0.057, memory: 28667, loss_cls: 0.2445, loss_offset: 0.5916, loss_depth: 0.9379, loss_size: 0.6894, loss_rotsin: 0.2510, loss_centerness: 0.5742, loss_velo: 0.0629, loss_dir: 0.4347, loss_attr: 0.3231, loss: 4.1093, grad_norm: 9.4630
2021-07-28 18:17:13,103 - mmdet - INFO - Epoch [4][1300/2217]	lr: 8.000e-03, eta: 11:22:52, time: 2.249, data_time: 0.056, memory: 28667, loss_cls: 0.2464, loss_offset: 0.5885, loss_depth: 0.7387, loss_size: 0.6676, loss_rotsin: 0.2597, loss_centerness: 0.5743, loss_velo: 0.0628, loss_dir: 0.4297, loss_attr: 0.3269, loss: 3.8945, grad_norm: 7.8095
2021-07-28 18:19:05,796 - mmdet - INFO - Epoch [4][1350/2217]	lr: 8.000e-03, eta: 11:21:09, time: 2.254, data_time: 0.060, memory: 28667, loss_cls: 0.2478, loss_offset: 0.5980, loss_depth: 0.7690, loss_size: 0.6674, loss_rotsin: 0.2589, loss_centerness: 0.5743, loss_velo: 0.0607, loss_dir: 0.4390, loss_attr: 0.3399, loss: 3.9550, grad_norm: 8.2634
2021-07-28 18:20:57,604 - mmdet - INFO - Epoch [4][1400/2217]	lr: 8.000e-03, eta: 11:19:24, time: 2.236, data_time: 0.058, memory: 28667, loss_cls: 0.2434, loss_offset: 0.5892, loss_depth: 0.8945, loss_size: 0.6861, loss_rotsin: 0.2525, loss_centerness: 0.5741, loss_velo: 0.0615, loss_dir: 0.4208, loss_attr: 0.3244, loss: 4.0466, grad_norm: 8.8895
2021-07-28 18:22:48,418 - mmdet - INFO - Epoch [4][1450/2217]	lr: 8.000e-03, eta: 11:17:36, time: 2.216, data_time: 0.058, memory: 28667, loss_cls: 0.2495, loss_offset: 0.5994, loss_depth: 0.8659, loss_size: 0.6905, loss_rotsin: 0.2551, loss_centerness: 0.5746, loss_velo: 0.0622, loss_dir: 0.4261, loss_attr: 0.3299, loss: 4.0530, grad_norm: 9.1393
2021-07-28 18:24:40,380 - mmdet - INFO - Epoch [4][1500/2217]	lr: 8.000e-03, eta: 11:15:51, time: 2.239, data_time: 0.057, memory: 28667, loss_cls: 0.2474, loss_offset: 0.5846, loss_depth: 0.8647, loss_size: 0.7121, loss_rotsin: 0.2546, loss_centerness: 0.5739, loss_velo: 0.0617, loss_dir: 0.4206, loss_attr: 0.3270, loss: 4.0466, grad_norm: 8.7830
2021-07-28 18:26:32,072 - mmdet - INFO - Epoch [4][1550/2217]	lr: 8.000e-03, eta: 11:14:05, time: 2.234, data_time: 0.058, memory: 28667, loss_cls: 0.2451, loss_offset: 0.5872, loss_depth: 0.7237, loss_size: 0.6764, loss_rotsin: 0.2501, loss_centerness: 0.5739, loss_velo: 0.0634, loss_dir: 0.4225, loss_attr: 0.3444, loss: 3.8868, grad_norm: 7.9219
2021-07-28 18:28:22,840 - mmdet - INFO - Epoch [4][1600/2217]	lr: 8.000e-03, eta: 11:12:17, time: 2.215, data_time: 0.057, memory: 28667, loss_cls: 0.2485, loss_offset: 0.5909, loss_depth: 0.6967, loss_size: 0.6884, loss_rotsin: 0.2535, loss_centerness: 0.5748, loss_velo: 0.0628, loss_dir: 0.4269, loss_attr: 0.3520, loss: 3.8944, grad_norm: 7.3499
2021-07-28 18:30:14,573 - mmdet - INFO - Epoch [4][1650/2217]	lr: 8.000e-03, eta: 11:10:31, time: 2.235, data_time: 0.057, memory: 28667, loss_cls: 0.2454, loss_offset: 0.5934, loss_depth: 0.7217, loss_size: 0.6671, loss_rotsin: 0.2564, loss_centerness: 0.5743, loss_velo: 0.0596, loss_dir: 0.4343, loss_attr: 0.3299, loss: 3.8822, grad_norm: 7.6582
2021-07-28 18:32:04,328 - mmdet - INFO - Epoch [4][1700/2217]	lr: 8.000e-03, eta: 11:08:41, time: 2.195, data_time: 0.055, memory: 28667, loss_cls: 0.2446, loss_offset: 0.5930, loss_depth: 0.6958, loss_size: 0.6552, loss_rotsin: 0.2548, loss_centerness: 0.5742, loss_velo: 0.0610, loss_dir: 0.4263, loss_attr: 0.3339, loss: 3.8388, grad_norm: 7.1578
2021-07-28 18:33:55,398 - mmdet - INFO - Epoch [4][1750/2217]	lr: 8.000e-03, eta: 11:06:54, time: 2.221, data_time: 0.059, memory: 28667, loss_cls: 0.2471, loss_offset: 0.5962, loss_depth: 0.6893, loss_size: 0.6823, loss_rotsin: 0.2582, loss_centerness: 0.5743, loss_velo: 0.0613, loss_dir: 0.4259, loss_attr: 0.3327, loss: 3.8673, grad_norm: 6.9779
2021-07-28 18:35:46,681 - mmdet - INFO - Epoch [4][1800/2217]	lr: 8.000e-03, eta: 11:05:07, time: 2.226, data_time: 0.058, memory: 28667, loss_cls: 0.2462, loss_offset: 0.5879, loss_depth: 0.7138, loss_size: 0.6733, loss_rotsin: 0.2477, loss_centerness: 0.5743, loss_velo: 0.0609, loss_dir: 0.4244, loss_attr: 0.3374, loss: 3.8659, grad_norm: 7.5596
2021-07-28 18:37:37,107 - mmdet - INFO - Epoch [4][1850/2217]	lr: 8.000e-03, eta: 11:03:18, time: 2.208, data_time: 0.054, memory: 28667, loss_cls: 0.2406, loss_offset: 0.5861, loss_depth: 0.7404, loss_size: 0.6550, loss_rotsin: 0.2547, loss_centerness: 0.5741, loss_velo: 0.0595, loss_dir: 0.4257, loss_attr: 0.3202, loss: 3.8562, grad_norm: 8.1918
2021-07-28 18:39:27,467 - mmdet - INFO - Epoch [4][1900/2217]	lr: 8.000e-03, eta: 11:01:29, time: 2.207, data_time: 0.054, memory: 28667, loss_cls: 0.2438, loss_offset: 0.5861, loss_depth: 0.7953, loss_size: 0.6749, loss_rotsin: 0.2497, loss_centerness: 0.5737, loss_velo: 0.0596, loss_dir: 0.4196, loss_attr: 0.3174, loss: 3.9201, grad_norm: 8.5500
2021-07-28 18:41:18,001 - mmdet - INFO - Epoch [4][1950/2217]	lr: 8.000e-03, eta: 10:59:40, time: 2.211, data_time: 0.058, memory: 28667, loss_cls: 0.2408, loss_offset: 0.5842, loss_depth: 0.6512, loss_size: 0.6578, loss_rotsin: 0.2532, loss_centerness: 0.5740, loss_velo: 0.0601, loss_dir: 0.4175, loss_attr: 0.3219, loss: 3.7607, grad_norm: 6.4997
2021-07-28 18:43:08,895 - mmdet - INFO - Epoch [4][2000/2217]	lr: 8.000e-03, eta: 10:57:52, time: 2.218, data_time: 0.054, memory: 28667, loss_cls: 0.2420, loss_offset: 0.5868, loss_depth: 0.7622, loss_size: 0.6489, loss_rotsin: 0.2525, loss_centerness: 0.5743, loss_velo: 0.0596, loss_dir: 0.4239, loss_attr: 0.3182, loss: 3.8683, grad_norm: 7.9564
2021-07-28 18:45:00,708 - mmdet - INFO - Epoch [4][2050/2217]	lr: 8.000e-03, eta: 10:56:06, time: 2.236, data_time: 0.056, memory: 28667, loss_cls: 0.2458, loss_offset: 0.5870, loss_depth: 0.6965, loss_size: 0.6622, loss_rotsin: 0.2478, loss_centerness: 0.5744, loss_velo: 0.0595, loss_dir: 0.4218, loss_attr: 0.3258, loss: 3.8209, grad_norm: 7.4346
2021-07-28 18:46:52,300 - mmdet - INFO - Epoch [4][2100/2217]	lr: 8.000e-03, eta: 10:54:20, time: 2.232, data_time: 0.057, memory: 28667, loss_cls: 0.2435, loss_offset: 0.5885, loss_depth: 0.8616, loss_size: 0.6679, loss_rotsin: 0.2493, loss_centerness: 0.5743, loss_velo: 0.0593, loss_dir: 0.4234, loss_attr: 0.3312, loss: 3.9990, grad_norm: 8.3299
2021-07-28 18:48:42,270 - mmdet - INFO - Epoch [4][2150/2217]	lr: 8.000e-03, eta: 10:52:30, time: 2.199, data_time: 0.058, memory: 28667, loss_cls: 0.2443, loss_offset: 0.5887, loss_depth: 0.7424, loss_size: 0.6883, loss_rotsin: 0.2530, loss_centerness: 0.5740, loss_velo: 0.0637, loss_dir: 0.4232, loss_attr: 0.3390, loss: 3.9167, grad_norm: 8.0135
2021-07-28 18:50:34,069 - mmdet - INFO - Epoch [4][2200/2217]	lr: 8.000e-03, eta: 10:50:44, time: 2.236, data_time: 0.055, memory: 28667, loss_cls: 0.2422, loss_offset: 0.5875, loss_depth: 0.6864, loss_size: 0.6724, loss_rotsin: 0.2525, loss_centerness: 0.5738, loss_velo: 0.0631, loss_dir: 0.4268, loss_attr: 0.3283, loss: 3.8328, grad_norm: 7.3038
2021-07-28 18:51:10,896 - mmdet - INFO - Saving checkpoint at 4 epochs
2021-07-28 18:53:12,944 - mmdet - INFO - Epoch [5][50/2217]	lr: 8.000e-03, eta: 10:47:23, time: 2.413, data_time: 0.233, memory: 28667, loss_cls: 0.2416, loss_offset: 0.5817, loss_depth: 1.0035, loss_size: 0.6430, loss_rotsin: 0.2488, loss_centerness: 0.5743, loss_velo: 0.0593, loss_dir: 0.4092, loss_attr: 0.2966, loss: 4.0579, grad_norm: 9.7002
2021-07-28 18:55:04,836 - mmdet - INFO - Epoch [5][100/2217]	lr: 8.000e-03, eta: 10:45:38, time: 2.238, data_time: 0.056, memory: 28667, loss_cls: 0.2400, loss_offset: 0.5772, loss_depth: 1.0399, loss_size: 0.6306, loss_rotsin: 0.2482, loss_centerness: 0.5735, loss_velo: 0.0621, loss_dir: 0.4140, loss_attr: 0.2995, loss: 4.0850, grad_norm: 10.1332
2021-07-28 18:56:55,392 - mmdet - INFO - Epoch [5][150/2217]	lr: 8.000e-03, eta: 10:43:49, time: 2.211, data_time: 0.056, memory: 28667, loss_cls: 0.2373, loss_offset: 0.5755, loss_depth: 0.8198, loss_size: 0.6194, loss_rotsin: 0.2419, loss_centerness: 0.5734, loss_velo: 0.0615, loss_dir: 0.4022, loss_attr: 0.2927, loss: 3.8236, grad_norm: 8.7158
2021-07-28 18:58:47,971 - mmdet - INFO - Epoch [5][200/2217]	lr: 8.000e-03, eta: 10:42:05, time: 2.251, data_time: 0.056, memory: 28667, loss_cls: 0.2383, loss_offset: 0.5747, loss_depth: 0.8232, loss_size: 0.6216, loss_rotsin: 0.2474, loss_centerness: 0.5742, loss_velo: 0.0602, loss_dir: 0.4100, loss_attr: 0.2973, loss: 3.8468, grad_norm: 8.9838
2021-07-28 19:00:38,477 - mmdet - INFO - Epoch [5][250/2217]	lr: 8.000e-03, eta: 10:40:16, time: 2.210, data_time: 0.060, memory: 28667, loss_cls: 0.2356, loss_offset: 0.5774, loss_depth: 0.7255, loss_size: 0.6241, loss_rotsin: 0.2403, loss_centerness: 0.5739, loss_velo: 0.0603, loss_dir: 0.4066, loss_attr: 0.2951, loss: 3.7387, grad_norm: 7.6511
2021-07-28 19:02:28,823 - mmdet - INFO - Epoch [5][300/2217]	lr: 8.000e-03, eta: 10:38:27, time: 2.207, data_time: 0.059, memory: 28667, loss_cls: 0.2389, loss_offset: 0.5709, loss_depth: 0.6975, loss_size: 0.6286, loss_rotsin: 0.2406, loss_centerness: 0.5732, loss_velo: 0.0618, loss_dir: 0.4089, loss_attr: 0.2913, loss: 3.7118, grad_norm: 7.6546
2021-07-28 19:04:21,395 - mmdet - INFO - Epoch [5][350/2217]	lr: 8.000e-03, eta: 10:36:42, time: 2.251, data_time: 0.057, memory: 28667, loss_cls: 0.2371, loss_offset: 0.5740, loss_depth: 0.7670, loss_size: 0.6344, loss_rotsin: 0.2401, loss_centerness: 0.5735, loss_velo: 0.0617, loss_dir: 0.4009, loss_attr: 0.2915, loss: 3.7801, grad_norm: 8.5986
2021-07-28 19:06:13,938 - mmdet - INFO - Epoch [5][400/2217]	lr: 8.000e-03, eta: 10:34:58, time: 2.251, data_time: 0.060, memory: 28667, loss_cls: 0.2405, loss_offset: 0.5815, loss_depth: 0.7443, loss_size: 0.6351, loss_rotsin: 0.2430, loss_centerness: 0.5738, loss_velo: 0.0616, loss_dir: 0.4166, loss_attr: 0.3079, loss: 3.8044, grad_norm: 7.7014
2021-07-28 19:08:06,605 - mmdet - INFO - Epoch [5][450/2217]	lr: 8.000e-03, eta: 10:33:13, time: 2.253, data_time: 0.060, memory: 28667, loss_cls: 0.2377, loss_offset: 0.5739, loss_depth: 0.6596, loss_size: 0.6310, loss_rotsin: 0.2441, loss_centerness: 0.5736, loss_velo: 0.0609, loss_dir: 0.4124, loss_attr: 0.3022, loss: 3.6955, grad_norm: 7.1345
2021-07-28 19:09:56,666 - mmdet - INFO - Epoch [5][500/2217]	lr: 8.000e-03, eta: 10:31:23, time: 2.201, data_time: 0.057, memory: 28667, loss_cls: 0.2407, loss_offset: 0.5747, loss_depth: 0.7147, loss_size: 0.6371, loss_rotsin: 0.2430, loss_centerness: 0.5734, loss_velo: 0.0598, loss_dir: 0.4115, loss_attr: 0.3068, loss: 3.7616, grad_norm: 7.8890
2021-07-28 19:11:47,239 - mmdet - INFO - Epoch [5][550/2217]	lr: 8.000e-03, eta: 10:29:35, time: 2.212, data_time: 0.055, memory: 28667, loss_cls: 0.2364, loss_offset: 0.5711, loss_depth: 0.7680, loss_size: 0.6289, loss_rotsin: 0.2424, loss_centerness: 0.5732, loss_velo: 0.0611, loss_dir: 0.4066, loss_attr: 0.2937, loss: 3.7815, grad_norm: 7.8789
2021-07-28 19:13:38,314 - mmdet - INFO - Epoch [5][600/2217]	lr: 8.000e-03, eta: 10:27:47, time: 2.221, data_time: 0.057, memory: 28667, loss_cls: 0.2365, loss_offset: 0.5789, loss_depth: 1.0043, loss_size: 0.6328, loss_rotsin: 0.2417, loss_centerness: 0.5737, loss_velo: 0.0598, loss_dir: 0.4172, loss_attr: 0.2988, loss: 4.0437, grad_norm: 10.0289
2021-07-28 19:15:29,126 - mmdet - INFO - Epoch [5][650/2217]	lr: 8.000e-03, eta: 10:25:58, time: 2.216, data_time: 0.062, memory: 28667, loss_cls: 0.2392, loss_offset: 0.5670, loss_depth: 0.6924, loss_size: 0.6221, loss_rotsin: 0.2399, loss_centerness: 0.5731, loss_velo: 0.0586, loss_dir: 0.4095, loss_attr: 0.3044, loss: 3.7063, grad_norm: 7.7761
2021-07-28 19:17:21,947 - mmdet - INFO - Epoch [5][700/2217]	lr: 8.000e-03, eta: 10:24:14, time: 2.256, data_time: 0.057, memory: 28667, loss_cls: 0.2375, loss_offset: 0.5683, loss_depth: 0.7232, loss_size: 0.6497, loss_rotsin: 0.2416, loss_centerness: 0.5731, loss_velo: 0.0626, loss_dir: 0.4019, loss_attr: 0.2948, loss: 3.7526, grad_norm: 7.6629
2021-07-28 19:19:12,917 - mmdet - INFO - Epoch [5][750/2217]	lr: 8.000e-03, eta: 10:22:26, time: 2.219, data_time: 0.057, memory: 28667, loss_cls: 0.2366, loss_offset: 0.5756, loss_depth: 0.7332, loss_size: 0.6327, loss_rotsin: 0.2443, loss_centerness: 0.5732, loss_velo: 0.0593, loss_dir: 0.4080, loss_attr: 0.2873, loss: 3.7502, grad_norm: 7.9268
2021-07-28 19:21:03,899 - mmdet - INFO - Epoch [5][800/2217]	lr: 8.000e-03, eta: 10:20:38, time: 2.220, data_time: 0.058, memory: 28667, loss_cls: 0.2379, loss_offset: 0.5735, loss_depth: 0.6782, loss_size: 0.6252, loss_rotsin: 0.2418, loss_centerness: 0.5735, loss_velo: 0.0582, loss_dir: 0.4111, loss_attr: 0.2790, loss: 3.6784, grad_norm: 7.5301
2021-07-28 19:22:54,846 - mmdet - INFO - Epoch [5][850/2217]	lr: 8.000e-03, eta: 10:18:49, time: 2.219, data_time: 0.056, memory: 28667, loss_cls: 0.2376, loss_offset: 0.5703, loss_depth: 0.9768, loss_size: 0.6376, loss_rotsin: 0.2416, loss_centerness: 0.5734, loss_velo: 0.0623, loss_dir: 0.4040, loss_attr: 0.2970, loss: 4.0005, grad_norm: 9.9546
2021-07-28 19:24:46,536 - mmdet - INFO - Epoch [5][900/2217]	lr: 8.000e-03, eta: 10:17:02, time: 2.234, data_time: 0.055, memory: 28667, loss_cls: 0.2366, loss_offset: 0.5677, loss_depth: 0.6649, loss_size: 0.6398, loss_rotsin: 0.2364, loss_centerness: 0.5732, loss_velo: 0.0597, loss_dir: 0.4056, loss_attr: 0.2980, loss: 3.6818, grad_norm: 7.1254
2021-07-28 19:26:38,426 - mmdet - INFO - Epoch [5][950/2217]	lr: 8.000e-03, eta: 10:15:16, time: 2.238, data_time: 0.058, memory: 28667, loss_cls: 0.2395, loss_offset: 0.5754, loss_depth: 0.7126, loss_size: 0.6354, loss_rotsin: 0.2412, loss_centerness: 0.5737, loss_velo: 0.0633, loss_dir: 0.4093, loss_attr: 0.2916, loss: 3.7419, grad_norm: 7.8387
2021-07-28 19:28:30,800 - mmdet - INFO - Epoch [5][1000/2217]	lr: 8.000e-03, eta: 10:13:30, time: 2.247, data_time: 0.054, memory: 28667, loss_cls: 0.2367, loss_offset: 0.5722, loss_depth: 0.8776, loss_size: 0.6694, loss_rotsin: 0.2320, loss_centerness: 0.5731, loss_velo: 0.0617, loss_dir: 0.4039, loss_attr: 0.2795, loss: 3.9062, grad_norm: 9.0328
2021-07-28 19:30:21,340 - mmdet - INFO - Epoch [5][1050/2217]	lr: 8.000e-03, eta: 10:11:41, time: 2.211, data_time: 0.059, memory: 28667, loss_cls: 0.2400, loss_offset: 0.5783, loss_depth: 0.7906, loss_size: 0.6389, loss_rotsin: 0.2429, loss_centerness: 0.5736, loss_velo: 0.0623, loss_dir: 0.4060, loss_attr: 0.3107, loss: 3.8434, grad_norm: 8.4699
2021-07-28 19:32:12,857 - mmdet - INFO - Epoch [5][1100/2217]	lr: 8.000e-03, eta: 10:09:54, time: 2.230, data_time: 0.056, memory: 28667, loss_cls: 0.2353, loss_offset: 0.5757, loss_depth: 0.6780, loss_size: 0.6109, loss_rotsin: 0.2373, loss_centerness: 0.5741, loss_velo: 0.0612, loss_dir: 0.4048, loss_attr: 0.3022, loss: 3.6794, grad_norm: 6.9693
2021-07-28 19:34:02,973 - mmdet - INFO - Epoch [5][1150/2217]	lr: 8.000e-03, eta: 10:08:04, time: 2.202, data_time: 0.057, memory: 28667, loss_cls: 0.2350, loss_offset: 0.5720, loss_depth: 0.7407, loss_size: 0.6192, loss_rotsin: 0.2336, loss_centerness: 0.5731, loss_velo: 0.0644, loss_dir: 0.3994, loss_attr: 0.2784, loss: 3.7158, grad_norm: 8.1247
2021-07-28 19:35:53,712 - mmdet - INFO - Epoch [5][1200/2217]	lr: 8.000e-03, eta: 10:06:15, time: 2.215, data_time: 0.058, memory: 28667, loss_cls: 0.2377, loss_offset: 0.5676, loss_depth: 0.6780, loss_size: 0.6316, loss_rotsin: 0.2406, loss_centerness: 0.5732, loss_velo: 0.0613, loss_dir: 0.4030, loss_attr: 0.2952, loss: 3.6881, grad_norm: 7.5598
2021-07-28 19:37:44,598 - mmdet - INFO - Epoch [5][1250/2217]	lr: 8.000e-03, eta: 10:04:26, time: 2.218, data_time: 0.060, memory: 28667, loss_cls: 0.2387, loss_offset: 0.5781, loss_depth: 0.6792, loss_size: 0.6381, loss_rotsin: 0.2363, loss_centerness: 0.5739, loss_velo: 0.0622, loss_dir: 0.4027, loss_attr: 0.2948, loss: 3.7040, grad_norm: 7.7025
2021-07-28 19:39:35,356 - mmdet - INFO - Epoch [5][1300/2217]	lr: 8.000e-03, eta: 10:02:38, time: 2.215, data_time: 0.057, memory: 28667, loss_cls: 0.2363, loss_offset: 0.5760, loss_depth: 0.8631, loss_size: 0.6379, loss_rotsin: 0.2378, loss_centerness: 0.5732, loss_velo: 0.0619, loss_dir: 0.4044, loss_attr: 0.2879, loss: 3.8785, grad_norm: 9.5744
2021-07-28 19:41:26,471 - mmdet - INFO - Epoch [5][1350/2217]	lr: 8.000e-03, eta: 10:00:50, time: 2.222, data_time: 0.062, memory: 28667, loss_cls: 0.2361, loss_offset: 0.5740, loss_depth: 0.7308, loss_size: 0.6285, loss_rotsin: 0.2355, loss_centerness: 0.5733, loss_velo: 0.0602, loss_dir: 0.3951, loss_attr: 0.3002, loss: 3.7337, grad_norm: 7.8862
2021-07-28 19:43:18,366 - mmdet - INFO - Epoch [5][1400/2217]	lr: 8.000e-03, eta: 9:59:03, time: 2.238, data_time: 0.061, memory: 28667, loss_cls: 0.2368, loss_offset: 0.5694, loss_depth: 0.7553, loss_size: 0.6328, loss_rotsin: 0.2364, loss_centerness: 0.5728, loss_velo: 0.0619, loss_dir: 0.3973, loss_attr: 0.2980, loss: 3.7606, grad_norm: 8.0332
2021-07-28 19:45:09,145 - mmdet - INFO - Epoch [5][1450/2217]	lr: 8.000e-03, eta: 9:57:14, time: 2.216, data_time: 0.059, memory: 28667, loss_cls: 0.2373, loss_offset: 0.5707, loss_depth: 0.6778, loss_size: 0.6258, loss_rotsin: 0.2384, loss_centerness: 0.5732, loss_velo: 0.0616, loss_dir: 0.3988, loss_attr: 0.2908, loss: 3.6745, grad_norm: 7.3560
2021-07-28 19:47:00,515 - mmdet - INFO - Epoch [5][1500/2217]	lr: 8.000e-03, eta: 9:55:26, time: 2.227, data_time: 0.059, memory: 28667, loss_cls: 0.2336, loss_offset: 0.5620, loss_depth: 0.6385, loss_size: 0.6106, loss_rotsin: 0.2338, loss_centerness: 0.5730, loss_velo: 0.0599, loss_dir: 0.3971, loss_attr: 0.2906, loss: 3.5990, grad_norm: 7.1830
2021-07-28 19:48:51,396 - mmdet - INFO - Epoch [5][1550/2217]	lr: 8.000e-03, eta: 9:53:37, time: 2.218, data_time: 0.062, memory: 28667, loss_cls: 0.2379, loss_offset: 0.5674, loss_depth: 0.7341, loss_size: 0.6405, loss_rotsin: 0.2315, loss_centerness: 0.5732, loss_velo: 0.0641, loss_dir: 0.3939, loss_attr: 0.2924, loss: 3.7350, grad_norm: 8.5517
2021-07-28 19:50:43,093 - mmdet - INFO - Epoch [5][1600/2217]	lr: 8.000e-03, eta: 9:51:50, time: 2.234, data_time: 0.062, memory: 28667, loss_cls: 0.2394, loss_offset: 0.5734, loss_depth: 0.8655, loss_size: 0.6361, loss_rotsin: 0.2435, loss_centerness: 0.5737, loss_velo: 0.0639, loss_dir: 0.3981, loss_attr: 0.3037, loss: 3.8973, grad_norm: 9.5019
2021-07-28 19:52:35,658 - mmdet - INFO - Epoch [5][1650/2217]	lr: 8.000e-03, eta: 9:50:04, time: 2.252, data_time: 0.059, memory: 28667, loss_cls: 0.2409, loss_offset: 0.5753, loss_depth: 0.7923, loss_size: 0.6511, loss_rotsin: 0.2410, loss_centerness: 0.5734, loss_velo: 0.0590, loss_dir: 0.4001, loss_attr: 0.2875, loss: 3.8205, grad_norm: 8.4134
2021-07-28 19:54:28,500 - mmdet - INFO - Epoch [5][1700/2217]	lr: 8.000e-03, eta: 9:48:18, time: 2.257, data_time: 0.060, memory: 28667, loss_cls: 0.2348, loss_offset: 0.5695, loss_depth: 0.7653, loss_size: 0.6349, loss_rotsin: 0.2323, loss_centerness: 0.5733, loss_velo: 0.0618, loss_dir: 0.3976, loss_attr: 0.2917, loss: 3.7612, grad_norm: 8.5675
2021-07-28 19:56:21,125 - mmdet - INFO - Epoch [5][1750/2217]	lr: 8.000e-03, eta: 9:46:32, time: 2.252, data_time: 0.059, memory: 28667, loss_cls: 0.2382, loss_offset: 0.5681, loss_depth: 0.7109, loss_size: 0.6408, loss_rotsin: 0.2338, loss_centerness: 0.5730, loss_velo: 0.0601, loss_dir: 0.4047, loss_attr: 0.3055, loss: 3.7351, grad_norm: 8.0232
2021-07-28 19:58:11,720 - mmdet - INFO - Epoch [5][1800/2217]	lr: 8.000e-03, eta: 9:44:42, time: 2.212, data_time: 0.059, memory: 28667, loss_cls: 0.2364, loss_offset: 0.5730, loss_depth: 0.6898, loss_size: 0.6255, loss_rotsin: 0.2362, loss_centerness: 0.5738, loss_velo: 0.0626, loss_dir: 0.3911, loss_attr: 0.2928, loss: 3.6811, grad_norm: 7.8839
2021-07-28 20:00:02,442 - mmdet - INFO - Epoch [5][1850/2217]	lr: 8.000e-03, eta: 9:42:53, time: 2.214, data_time: 0.060, memory: 28667, loss_cls: 0.2344, loss_offset: 0.5657, loss_depth: 0.6302, loss_size: 0.6313, loss_rotsin: 0.2347, loss_centerness: 0.5733, loss_velo: 0.0607, loss_dir: 0.4014, loss_attr: 0.2702, loss: 3.6018, grad_norm: 6.8343
2021-07-28 20:01:53,216 - mmdet - INFO - Epoch [5][1900/2217]	lr: 8.000e-03, eta: 9:41:04, time: 2.215, data_time: 0.061, memory: 28667, loss_cls: 0.2361, loss_offset: 0.5627, loss_depth: 0.6439, loss_size: 0.6380, loss_rotsin: 0.2322, loss_centerness: 0.5731, loss_velo: 0.0639, loss_dir: 0.3965, loss_attr: 0.2938, loss: 3.6402, grad_norm: 7.3273
2021-07-28 20:03:46,219 - mmdet - INFO - Epoch [5][1950/2217]	lr: 8.000e-03, eta: 9:39:18, time: 2.260, data_time: 0.064, memory: 28667, loss_cls: 0.2375, loss_offset: 0.5779, loss_depth: 0.7064, loss_size: 0.6326, loss_rotsin: 0.2415, loss_centerness: 0.5735, loss_velo: 0.0617, loss_dir: 0.4021, loss_attr: 0.2911, loss: 3.7244, grad_norm: 7.7637
2021-07-28 20:05:36,681 - mmdet - INFO - Epoch [5][2000/2217]	lr: 8.000e-03, eta: 9:37:29, time: 2.209, data_time: 0.063, memory: 28667, loss_cls: 0.2351, loss_offset: 0.5704, loss_depth: 0.6866, loss_size: 0.6255, loss_rotsin: 0.2427, loss_centerness: 0.5732, loss_velo: 0.0590, loss_dir: 0.4018, loss_attr: 0.2826, loss: 3.6768, grad_norm: 7.6997
2021-07-28 20:07:27,978 - mmdet - INFO - Epoch [5][2050/2217]	lr: 8.000e-03, eta: 9:35:40, time: 2.226, data_time: 0.061, memory: 28667, loss_cls: 0.2381, loss_offset: 0.5716, loss_depth: 0.8139, loss_size: 0.6353, loss_rotsin: 0.2293, loss_centerness: 0.5736, loss_velo: 0.0629, loss_dir: 0.3894, loss_attr: 0.2952, loss: 3.8092, grad_norm: 8.7311
2021-07-28 20:09:18,307 - mmdet - INFO - Epoch [5][2100/2217]	lr: 8.000e-03, eta: 9:33:51, time: 2.207, data_time: 0.055, memory: 28667, loss_cls: 0.2318, loss_offset: 0.5663, loss_depth: 0.7203, loss_size: 0.6325, loss_rotsin: 0.2366, loss_centerness: 0.5730, loss_velo: 0.0602, loss_dir: 0.3969, loss_attr: 0.2921, loss: 3.7097, grad_norm: 8.1000
2021-07-28 20:11:10,334 - mmdet - INFO - Epoch [5][2150/2217]	lr: 8.000e-03, eta: 9:32:03, time: 2.241, data_time: 0.061, memory: 28667, loss_cls: 0.2367, loss_offset: 0.5736, loss_depth: 0.8304, loss_size: 0.6252, loss_rotsin: 0.2428, loss_centerness: 0.5732, loss_velo: 0.0600, loss_dir: 0.4043, loss_attr: 0.2930, loss: 3.8392, grad_norm: 8.9702
2021-07-28 20:13:00,562 - mmdet - INFO - Epoch [5][2200/2217]	lr: 8.000e-03, eta: 9:30:13, time: 2.204, data_time: 0.057, memory: 28667, loss_cls: 0.2333, loss_offset: 0.5607, loss_depth: 0.7050, loss_size: 0.6204, loss_rotsin: 0.2322, loss_centerness: 0.5728, loss_velo: 0.0584, loss_dir: 0.3865, loss_attr: 0.2782, loss: 3.6476, grad_norm: 7.4939
2021-07-28 20:13:37,537 - mmdet - INFO - Saving checkpoint at 5 epochs
2021-07-28 20:15:42,514 - mmdet - INFO - Epoch [6][50/2217]	lr: 8.000e-03, eta: 9:27:12, time: 2.471, data_time: 0.206, memory: 28667, loss_cls: 0.2315, loss_offset: 0.5566, loss_depth: 0.7127, loss_size: 0.6017, loss_rotsin: 0.2298, loss_centerness: 0.5725, loss_velo: 0.0592, loss_dir: 0.3823, loss_attr: 0.2525, loss: 3.5989, grad_norm: 8.5482
2021-07-28 20:17:35,007 - mmdet - INFO - Epoch [6][100/2217]	lr: 8.000e-03, eta: 9:25:26, time: 2.250, data_time: 0.056, memory: 28667, loss_cls: 0.2286, loss_offset: 0.5589, loss_depth: 1.0304, loss_size: 0.6102, loss_rotsin: 0.2243, loss_centerness: 0.5725, loss_velo: 0.0612, loss_dir: 0.3742, loss_attr: 0.2594, loss: 3.9197, grad_norm: 10.2875
2021-07-28 20:19:27,530 - mmdet - INFO - Epoch [6][150/2217]	lr: 8.000e-03, eta: 9:23:39, time: 2.250, data_time: 0.069, memory: 28667, loss_cls: 0.2325, loss_offset: 0.5706, loss_depth: 0.9113, loss_size: 0.6035, loss_rotsin: 0.2296, loss_centerness: 0.5732, loss_velo: 0.0598, loss_dir: 0.3785, loss_attr: 0.2466, loss: 3.8057, grad_norm: 8.6226
2021-07-28 20:21:17,956 - mmdet - INFO - Epoch [6][200/2217]	lr: 8.000e-03, eta: 9:21:50, time: 2.209, data_time: 0.057, memory: 28667, loss_cls: 0.2280, loss_offset: 0.5468, loss_depth: 0.7412, loss_size: 0.5847, loss_rotsin: 0.2180, loss_centerness: 0.5718, loss_velo: 0.0630, loss_dir: 0.3690, loss_attr: 0.2560, loss: 3.5784, grad_norm: 8.2761
2021-07-28 20:23:10,789 - mmdet - INFO - Epoch [6][250/2217]	lr: 8.000e-03, eta: 9:20:03, time: 2.257, data_time: 0.057, memory: 28667, loss_cls: 0.2303, loss_offset: 0.5556, loss_depth: 0.7090, loss_size: 0.6025, loss_rotsin: 0.2261, loss_centerness: 0.5725, loss_velo: 0.0585, loss_dir: 0.3766, loss_attr: 0.2616, loss: 3.5927, grad_norm: 8.6597
2021-07-28 20:25:02,957 - mmdet - INFO - Epoch [6][300/2217]	lr: 8.000e-03, eta: 9:18:16, time: 2.243, data_time: 0.061, memory: 28667, loss_cls: 0.2308, loss_offset: 0.5599, loss_depth: 0.6055, loss_size: 0.5842, loss_rotsin: 0.2256, loss_centerness: 0.5728, loss_velo: 0.0640, loss_dir: 0.3810, loss_attr: 0.2565, loss: 3.4802, grad_norm: 6.6907
2021-07-28 20:26:54,043 - mmdet - INFO - Epoch [6][350/2217]	lr: 8.000e-03, eta: 9:16:28, time: 2.222, data_time: 0.060, memory: 28667, loss_cls: 0.2287, loss_offset: 0.5568, loss_depth: 0.6471, loss_size: 0.5995, loss_rotsin: 0.2329, loss_centerness: 0.5728, loss_velo: 0.0618, loss_dir: 0.3852, loss_attr: 0.2563, loss: 3.5411, grad_norm: 7.8498
2021-07-28 20:28:45,984 - mmdet - INFO - Epoch [6][400/2217]	lr: 8.000e-03, eta: 9:14:40, time: 2.239, data_time: 0.058, memory: 28667, loss_cls: 0.2326, loss_offset: 0.5633, loss_depth: 0.7297, loss_size: 0.6187, loss_rotsin: 0.2296, loss_centerness: 0.5730, loss_velo: 0.0593, loss_dir: 0.3878, loss_attr: 0.2612, loss: 3.6553, grad_norm: 8.8863
2021-07-28 20:30:36,718 - mmdet - INFO - Epoch [6][450/2217]	lr: 8.000e-03, eta: 9:12:51, time: 2.215, data_time: 0.061, memory: 28667, loss_cls: 0.2298, loss_offset: 0.5589, loss_depth: 0.7400, loss_size: 0.6200, loss_rotsin: 0.2298, loss_centerness: 0.5727, loss_velo: 0.0609, loss_dir: 0.3861, loss_attr: 0.2613, loss: 3.6596, grad_norm: 8.5923
2021-07-28 20:32:29,217 - mmdet - INFO - Epoch [6][500/2217]	lr: 8.000e-03, eta: 9:11:04, time: 2.250, data_time: 0.059, memory: 28667, loss_cls: 0.2329, loss_offset: 0.5511, loss_depth: 0.6425, loss_size: 0.6098, loss_rotsin: 0.2295, loss_centerness: 0.5720, loss_velo: 0.0603, loss_dir: 0.3763, loss_attr: 0.2621, loss: 3.5365, grad_norm: 7.3397
2021-07-28 20:34:23,477 - mmdet - INFO - Epoch [6][550/2217]	lr: 8.000e-03, eta: 9:09:19, time: 2.285, data_time: 0.065, memory: 28667, loss_cls: 0.2307, loss_offset: 0.5617, loss_depth: 0.6790, loss_size: 0.6110, loss_rotsin: 0.2258, loss_centerness: 0.5730, loss_velo: 0.0596, loss_dir: 0.3830, loss_attr: 0.2755, loss: 3.5994, grad_norm: 8.1124
2021-07-28 20:36:15,251 - mmdet - INFO - Epoch [6][600/2217]	lr: 8.000e-03, eta: 9:07:31, time: 2.235, data_time: 0.060, memory: 28667, loss_cls: 0.2276, loss_offset: 0.5506, loss_depth: 0.6681, loss_size: 0.5898, loss_rotsin: 0.2247, loss_centerness: 0.5721, loss_velo: 0.0587, loss_dir: 0.3742, loss_attr: 0.2547, loss: 3.5204, grad_norm: 7.8498
2021-07-28 20:38:06,550 - mmdet - INFO - Epoch [6][650/2217]	lr: 8.000e-03, eta: 9:05:43, time: 2.226, data_time: 0.066, memory: 28667, loss_cls: 0.2336, loss_offset: 0.5672, loss_depth: 0.6994, loss_size: 0.5863, loss_rotsin: 0.2333, loss_centerness: 0.5732, loss_velo: 0.0607, loss_dir: 0.3918, loss_attr: 0.2669, loss: 3.6123, grad_norm: 7.7323
2021-07-28 20:39:57,100 - mmdet - INFO - Epoch [6][700/2217]	lr: 8.000e-03, eta: 9:03:53, time: 2.211, data_time: 0.065, memory: 28667, loss_cls: 0.2291, loss_offset: 0.5551, loss_depth: 0.6852, loss_size: 0.5827, loss_rotsin: 0.2259, loss_centerness: 0.5725, loss_velo: 0.0602, loss_dir: 0.3756, loss_attr: 0.2488, loss: 3.5351, grad_norm: 7.6454
2021-07-28 20:41:48,556 - mmdet - INFO - Epoch [6][750/2217]	lr: 8.000e-03, eta: 9:02:05, time: 2.229, data_time: 0.059, memory: 28667, loss_cls: 0.2317, loss_offset: 0.5608, loss_depth: 0.6402, loss_size: 0.6090, loss_rotsin: 0.2243, loss_centerness: 0.5730, loss_velo: 0.0626, loss_dir: 0.3833, loss_attr: 0.2577, loss: 3.5426, grad_norm: 7.4878
2021-07-28 20:43:39,842 - mmdet - INFO - Epoch [6][800/2217]	lr: 8.000e-03, eta: 9:00:16, time: 2.226, data_time: 0.060, memory: 28667, loss_cls: 0.2320, loss_offset: 0.5649, loss_depth: 0.6459, loss_size: 0.5984, loss_rotsin: 0.2323, loss_centerness: 0.5732, loss_velo: 0.0603, loss_dir: 0.3854, loss_attr: 0.2670, loss: 3.5594, grad_norm: 7.6140
2021-07-28 20:45:32,686 - mmdet - INFO - Epoch [6][850/2217]	lr: 8.000e-03, eta: 8:58:29, time: 2.257, data_time: 0.060, memory: 28667, loss_cls: 0.2310, loss_offset: 0.5574, loss_depth: 1.0761, loss_size: 0.6049, loss_rotsin: 0.2303, loss_centerness: 0.5730, loss_velo: 0.0609, loss_dir: 0.3892, loss_attr: 0.2651, loss: 3.9879, grad_norm: 10.7436
2021-07-28 20:47:22,225 - mmdet - INFO - Epoch [6][900/2217]	lr: 8.000e-03, eta: 8:56:38, time: 2.191, data_time: 0.057, memory: 28667, loss_cls: 0.2361, loss_offset: 0.5642, loss_depth: 0.9620, loss_size: 0.6095, loss_rotsin: 0.2328, loss_centerness: 0.5731, loss_velo: 0.0628, loss_dir: 0.3801, loss_attr: 0.2756, loss: 3.8961, grad_norm: 8.9554
2021-07-28 20:49:13,681 - mmdet - INFO - Epoch [6][950/2217]	lr: 8.000e-03, eta: 8:54:50, time: 2.229, data_time: 0.054, memory: 28667, loss_cls: 0.2323, loss_offset: 0.5619, loss_depth: 0.7368, loss_size: 0.5892, loss_rotsin: 0.2310, loss_centerness: 0.5727, loss_velo: 0.0608, loss_dir: 0.3824, loss_attr: 0.2599, loss: 3.6271, grad_norm: 7.7267
2021-07-28 20:51:05,655 - mmdet - INFO - Epoch [6][1000/2217]	lr: 8.000e-03, eta: 8:53:02, time: 2.240, data_time: 0.052, memory: 28667, loss_cls: 0.2321, loss_offset: 0.5639, loss_depth: 0.8410, loss_size: 0.6071, loss_rotsin: 0.2272, loss_centerness: 0.5732, loss_velo: 0.0590, loss_dir: 0.3825, loss_attr: 0.2670, loss: 3.7528, grad_norm: 9.3026
2021-07-28 20:52:56,124 - mmdet - INFO - Epoch [6][1050/2217]	lr: 8.000e-03, eta: 8:51:12, time: 2.209, data_time: 0.059, memory: 28667, loss_cls: 0.2315, loss_offset: 0.5565, loss_depth: 0.7119, loss_size: 0.6223, loss_rotsin: 0.2340, loss_centerness: 0.5730, loss_velo: 0.0622, loss_dir: 0.3807, loss_attr: 0.2676, loss: 3.6396, grad_norm: 8.1895
2021-07-28 20:54:48,227 - mmdet - INFO - Epoch [6][1100/2217]	lr: 8.000e-03, eta: 8:49:24, time: 2.242, data_time: 0.057, memory: 28667, loss_cls: 0.2329, loss_offset: 0.5576, loss_depth: 0.7890, loss_size: 0.5881, loss_rotsin: 0.2259, loss_centerness: 0.5726, loss_velo: 0.0625, loss_dir: 0.3718, loss_attr: 0.2683, loss: 3.6688, grad_norm: 8.5313
2021-07-28 20:56:39,469 - mmdet - INFO - Epoch [6][1150/2217]	lr: 8.000e-03, eta: 8:47:36, time: 2.225, data_time: 0.057, memory: 28667, loss_cls: 0.2271, loss_offset: 0.5563, loss_depth: 0.6577, loss_size: 0.5821, loss_rotsin: 0.2292, loss_centerness: 0.5728, loss_velo: 0.0596, loss_dir: 0.3820, loss_attr: 0.2587, loss: 3.5256, grad_norm: 7.6370
2021-07-28 20:58:30,663 - mmdet - INFO - Epoch [6][1200/2217]	lr: 8.000e-03, eta: 8:45:47, time: 2.224, data_time: 0.063, memory: 28667, loss_cls: 0.2303, loss_offset: 0.5524, loss_depth: 0.9084, loss_size: 0.6162, loss_rotsin: 0.2282, loss_centerness: 0.5723, loss_velo: 0.0616, loss_dir: 0.3779, loss_attr: 0.2674, loss: 3.8147, grad_norm: 9.7574
2021-07-28 21:00:19,525 - mmdet - INFO - Epoch [6][1250/2217]	lr: 8.000e-03, eta: 8:43:55, time: 2.177, data_time: 0.064, memory: 28667, loss_cls: 0.2318, loss_offset: 0.5562, loss_depth: 0.9079, loss_size: 0.6161, loss_rotsin: 0.2305, loss_centerness: 0.5725, loss_velo: 0.0602, loss_dir: 0.3859, loss_attr: 0.2568, loss: 3.8179, grad_norm: 8.9918
2021-07-28 21:02:09,466 - mmdet - INFO - Epoch [6][1300/2217]	lr: 8.000e-03, eta: 8:42:05, time: 2.199, data_time: 0.062, memory: 28667, loss_cls: 0.2339, loss_offset: 0.5599, loss_depth: 0.6971, loss_size: 0.6319, loss_rotsin: 0.2271, loss_centerness: 0.5726, loss_velo: 0.0584, loss_dir: 0.3810, loss_attr: 0.2747, loss: 3.6366, grad_norm: 7.9058
2021-07-28 21:04:00,026 - mmdet - INFO - Epoch [6][1350/2217]	lr: 8.000e-03, eta: 8:40:15, time: 2.211, data_time: 0.059, memory: 28667, loss_cls: 0.2347, loss_offset: 0.5649, loss_depth: 0.8188, loss_size: 0.6353, loss_rotsin: 0.2302, loss_centerness: 0.5731, loss_velo: 0.0615, loss_dir: 0.3805, loss_attr: 0.2736, loss: 3.7724, grad_norm: 8.9182
2021-07-28 21:05:52,695 - mmdet - INFO - Epoch [6][1400/2217]	lr: 8.000e-03, eta: 8:38:28, time: 2.253, data_time: 0.054, memory: 28667, loss_cls: 0.2313, loss_offset: 0.5597, loss_depth: 0.6635, loss_size: 0.6015, loss_rotsin: 0.2250, loss_centerness: 0.5726, loss_velo: 0.0645, loss_dir: 0.3700, loss_attr: 0.2683, loss: 3.5563, grad_norm: 7.6680
2021-07-28 21:07:47,167 - mmdet - INFO - Epoch [6][1450/2217]	lr: 8.000e-03, eta: 8:36:42, time: 2.289, data_time: 0.064, memory: 28667, loss_cls: 0.2298, loss_offset: 0.5547, loss_depth: 0.8564, loss_size: 0.6082, loss_rotsin: 0.2239, loss_centerness: 0.5732, loss_velo: 0.0618, loss_dir: 0.3795, loss_attr: 0.2633, loss: 3.7508, grad_norm: 9.7302
2021-07-28 21:09:37,123 - mmdet - INFO - Epoch [6][1500/2217]	lr: 8.000e-03, eta: 8:34:52, time: 2.199, data_time: 0.055, memory: 28667, loss_cls: 0.2323, loss_offset: 0.5686, loss_depth: 0.7470, loss_size: 0.6153, loss_rotsin: 0.2302, loss_centerness: 0.5732, loss_velo: 0.0622, loss_dir: 0.3797, loss_attr: 0.2566, loss: 3.6651, grad_norm: 7.9436
2021-07-28 21:11:30,956 - mmdet - INFO - Epoch [6][1550/2217]	lr: 8.000e-03, eta: 8:33:06, time: 2.277, data_time: 0.055, memory: 28667, loss_cls: 0.2300, loss_offset: 0.5587, loss_depth: 0.6785, loss_size: 0.5916, loss_rotsin: 0.2279, loss_centerness: 0.5727, loss_velo: 0.0610, loss_dir: 0.3786, loss_attr: 0.2593, loss: 3.5582, grad_norm: 7.9345
2021-07-28 21:13:21,397 - mmdet - INFO - Epoch [6][1600/2217]	lr: 8.000e-03, eta: 8:31:16, time: 2.209, data_time: 0.060, memory: 28667, loss_cls: 0.2324, loss_offset: 0.5601, loss_depth: 0.7776, loss_size: 0.6239, loss_rotsin: 0.2212, loss_centerness: 0.5729, loss_velo: 0.0607, loss_dir: 0.3756, loss_attr: 0.2568, loss: 3.6812, grad_norm: 8.5318
2021-07-28 21:15:12,050 - mmdet - INFO - Epoch [6][1650/2217]	lr: 8.000e-03, eta: 8:29:26, time: 2.213, data_time: 0.054, memory: 28667, loss_cls: 0.2294, loss_offset: 0.5537, loss_depth: 0.6542, loss_size: 0.5996, loss_rotsin: 0.2206, loss_centerness: 0.5722, loss_velo: 0.0618, loss_dir: 0.3759, loss_attr: 0.2656, loss: 3.5330, grad_norm: 7.7730
2021-07-28 21:17:04,626 - mmdet - INFO - Epoch [6][1700/2217]	lr: 8.000e-03, eta: 8:27:38, time: 2.251, data_time: 0.057, memory: 28667, loss_cls: 0.2305, loss_offset: 0.5599, loss_depth: 0.6340, loss_size: 0.6043, loss_rotsin: 0.2237, loss_centerness: 0.5727, loss_velo: 0.0600, loss_dir: 0.3661, loss_attr: 0.2646, loss: 3.5158, grad_norm: 6.9928
2021-07-28 21:18:57,765 - mmdet - INFO - Epoch [6][1750/2217]	lr: 8.000e-03, eta: 8:25:51, time: 2.263, data_time: 0.060, memory: 28667, loss_cls: 0.2282, loss_offset: 0.5576, loss_depth: 0.7193, loss_size: 0.6127, loss_rotsin: 0.2276, loss_centerness: 0.5725, loss_velo: 0.0628, loss_dir: 0.3785, loss_attr: 0.2614, loss: 3.6207, grad_norm: 8.6577
2021-07-28 21:20:47,651 - mmdet - INFO - Epoch [6][1800/2217]	lr: 8.000e-03, eta: 8:24:01, time: 2.198, data_time: 0.061, memory: 28667, loss_cls: 0.2272, loss_offset: 0.5576, loss_depth: 0.6711, loss_size: 0.5862, loss_rotsin: 0.2230, loss_centerness: 0.5724, loss_velo: 0.0592, loss_dir: 0.3757, loss_attr: 0.2576, loss: 3.5299, grad_norm: 7.9479
2021-07-28 21:22:37,677 - mmdet - INFO - Epoch [6][1850/2217]	lr: 8.000e-03, eta: 8:22:10, time: 2.201, data_time: 0.058, memory: 28667, loss_cls: 0.2315, loss_offset: 0.5594, loss_depth: 0.6267, loss_size: 0.6081, loss_rotsin: 0.2234, loss_centerness: 0.5725, loss_velo: 0.0597, loss_dir: 0.3718, loss_attr: 0.2524, loss: 3.5054, grad_norm: 6.8014
2021-07-28 21:24:28,122 - mmdet - INFO - Epoch [6][1900/2217]	lr: 8.000e-03, eta: 8:20:20, time: 2.209, data_time: 0.060, memory: 28667, loss_cls: 0.2269, loss_offset: 0.5550, loss_depth: 0.6364, loss_size: 0.5826, loss_rotsin: 0.2239, loss_centerness: 0.5721, loss_velo: 0.0591, loss_dir: 0.3749, loss_attr: 0.2536, loss: 3.4846, grad_norm: 7.6797
2021-07-28 21:26:18,082 - mmdet - INFO - Epoch [6][1950/2217]	lr: 8.000e-03, eta: 8:18:30, time: 2.199, data_time: 0.061, memory: 28667, loss_cls: 0.2292, loss_offset: 0.5499, loss_depth: 0.6503, loss_size: 0.5925, loss_rotsin: 0.2217, loss_centerness: 0.5727, loss_velo: 0.0633, loss_dir: 0.3722, loss_attr: 0.2632, loss: 3.5150, grad_norm: 7.5920
2021-07-28 21:28:09,097 - mmdet - INFO - Epoch [6][2000/2217]	lr: 8.000e-03, eta: 8:16:40, time: 2.220, data_time: 0.059, memory: 28667, loss_cls: 0.2295, loss_offset: 0.5576, loss_depth: 0.6358, loss_size: 0.6033, loss_rotsin: 0.2256, loss_centerness: 0.5727, loss_velo: 0.0599, loss_dir: 0.3866, loss_attr: 0.2616, loss: 3.5326, grad_norm: 7.1228
2021-07-28 21:30:00,069 - mmdet - INFO - Epoch [6][2050/2217]	lr: 8.000e-03, eta: 8:14:51, time: 2.219, data_time: 0.061, memory: 28667, loss_cls: 0.2298, loss_offset: 0.5525, loss_depth: 0.7251, loss_size: 0.5963, loss_rotsin: 0.2252, loss_centerness: 0.5724, loss_velo: 0.0619, loss_dir: 0.3773, loss_attr: 0.2658, loss: 3.6062, grad_norm: 8.3736
2021-07-28 21:31:50,459 - mmdet - INFO - Epoch [6][2100/2217]	lr: 8.000e-03, eta: 8:13:01, time: 2.208, data_time: 0.057, memory: 28667, loss_cls: 0.2313, loss_offset: 0.5570, loss_depth: 0.6938, loss_size: 0.6026, loss_rotsin: 0.2294, loss_centerness: 0.5726, loss_velo: 0.0618, loss_dir: 0.3719, loss_attr: 0.2650, loss: 3.5854, grad_norm: 8.3180
2021-07-28 21:33:42,180 - mmdet - INFO - Epoch [6][2150/2217]	lr: 8.000e-03, eta: 8:11:12, time: 2.234, data_time: 0.060, memory: 28667, loss_cls: 0.2286, loss_offset: 0.5515, loss_depth: 0.7759, loss_size: 0.6029, loss_rotsin: 0.2254, loss_centerness: 0.5725, loss_velo: 0.0614, loss_dir: 0.3756, loss_attr: 0.2559, loss: 3.6496, grad_norm: 9.1790
2021-07-28 21:35:32,889 - mmdet - INFO - Epoch [6][2200/2217]	lr: 8.000e-03, eta: 8:09:23, time: 2.214, data_time: 0.061, memory: 28667, loss_cls: 0.2302, loss_offset: 0.5512, loss_depth: 0.7599, loss_size: 0.6087, loss_rotsin: 0.2228, loss_centerness: 0.5723, loss_velo: 0.0575, loss_dir: 0.3725, loss_attr: 0.2533, loss: 3.6283, grad_norm: 8.8340
2021-07-28 21:36:09,572 - mmdet - INFO - Saving checkpoint at 6 epochs
2021-07-28 21:38:12,491 - mmdet - INFO - Epoch [7][50/2217]	lr: 8.000e-03, eta: 8:06:29, time: 2.428, data_time: 0.226, memory: 28667, loss_cls: 0.2265, loss_offset: 0.5549, loss_depth: 0.6905, loss_size: 0.5688, loss_rotsin: 0.2194, loss_centerness: 0.5724, loss_velo: 0.0578, loss_dir: 0.3646, loss_attr: 0.2308, loss: 3.4859, grad_norm: 8.3860
2021-07-28 21:40:01,997 - mmdet - INFO - Epoch [7][100/2217]	lr: 8.000e-03, eta: 8:04:38, time: 2.190, data_time: 0.063, memory: 28667, loss_cls: 0.2221, loss_offset: 0.5455, loss_depth: 0.8981, loss_size: 0.5761, loss_rotsin: 0.2173, loss_centerness: 0.5724, loss_velo: 0.0585, loss_dir: 0.3571, loss_attr: 0.2290, loss: 3.6761, grad_norm: 9.7476
2021-07-28 21:41:51,826 - mmdet - INFO - Epoch [7][150/2217]	lr: 8.000e-03, eta: 8:02:48, time: 2.196, data_time: 0.061, memory: 28667, loss_cls: 0.2274, loss_offset: 0.5448, loss_depth: 0.6374, loss_size: 0.5636, loss_rotsin: 0.2213, loss_centerness: 0.5720, loss_velo: 0.0611, loss_dir: 0.3587, loss_attr: 0.2401, loss: 3.4264, grad_norm: 7.7228
2021-07-28 21:43:44,191 - mmdet - INFO - Epoch [7][200/2217]	lr: 8.000e-03, eta: 8:01:00, time: 2.248, data_time: 0.061, memory: 28667, loss_cls: 0.2216, loss_offset: 0.5424, loss_depth: 0.5715, loss_size: 0.5518, loss_rotsin: 0.2164, loss_centerness: 0.5719, loss_velo: 0.0584, loss_dir: 0.3554, loss_attr: 0.2144, loss: 3.3039, grad_norm: 6.4679
2021-07-28 21:45:37,740 - mmdet - INFO - Epoch [7][250/2217]	lr: 8.000e-03, eta: 7:59:13, time: 2.271, data_time: 0.065, memory: 28667, loss_cls: 0.2225, loss_offset: 0.5401, loss_depth: 0.6520, loss_size: 0.5636, loss_rotsin: 0.2121, loss_centerness: 0.5716, loss_velo: 0.0624, loss_dir: 0.3533, loss_attr: 0.2320, loss: 3.4097, grad_norm: 8.0624
2021-07-28 21:47:30,159 - mmdet - INFO - Epoch [7][300/2217]	lr: 8.000e-03, eta: 7:57:25, time: 2.248, data_time: 0.057, memory: 28667, loss_cls: 0.2267, loss_offset: 0.5472, loss_depth: 0.7954, loss_size: 0.5654, loss_rotsin: 0.2194, loss_centerness: 0.5722, loss_velo: 0.0576, loss_dir: 0.3654, loss_attr: 0.2303, loss: 3.5795, grad_norm: 8.8396
2021-07-28 21:49:21,076 - mmdet - INFO - Epoch [7][350/2217]	lr: 8.000e-03, eta: 7:55:35, time: 2.218, data_time: 0.061, memory: 28667, loss_cls: 0.2235, loss_offset: 0.5458, loss_depth: 0.6103, loss_size: 0.5644, loss_rotsin: 0.2213, loss_centerness: 0.5721, loss_velo: 0.0599, loss_dir: 0.3575, loss_attr: 0.2174, loss: 3.3721, grad_norm: 7.4370
2021-07-28 21:51:11,255 - mmdet - INFO - Epoch [7][400/2217]	lr: 8.000e-03, eta: 7:53:45, time: 2.203, data_time: 0.059, memory: 28667, loss_cls: 0.2224, loss_offset: 0.5506, loss_depth: 0.7825, loss_size: 0.5546, loss_rotsin: 0.2188, loss_centerness: 0.5724, loss_velo: 0.0628, loss_dir: 0.3551, loss_attr: 0.2265, loss: 3.5458, grad_norm: 8.9564
2021-07-28 21:53:03,070 - mmdet - INFO - Epoch [7][450/2217]	lr: 8.000e-03, eta: 7:51:57, time: 2.236, data_time: 0.065, memory: 28667, loss_cls: 0.2228, loss_offset: 0.5414, loss_depth: 0.7295, loss_size: 0.5847, loss_rotsin: 0.2246, loss_centerness: 0.5720, loss_velo: 0.0590, loss_dir: 0.3515, loss_attr: 0.2316, loss: 3.5170, grad_norm: 8.9801
2021-07-28 21:54:54,223 - mmdet - INFO - Epoch [7][500/2217]	lr: 8.000e-03, eta: 7:50:07, time: 2.223, data_time: 0.058, memory: 28667, loss_cls: 0.2248, loss_offset: 0.5432, loss_depth: 0.7147, loss_size: 0.5855, loss_rotsin: 0.2133, loss_centerness: 0.5718, loss_velo: 0.0607, loss_dir: 0.3486, loss_attr: 0.2383, loss: 3.5010, grad_norm: 8.4128
2021-07-28 21:56:46,594 - mmdet - INFO - Epoch [7][550/2217]	lr: 8.000e-03, eta: 7:48:19, time: 2.247, data_time: 0.059, memory: 28667, loss_cls: 0.2269, loss_offset: 0.5456, loss_depth: 0.7333, loss_size: 0.5712, loss_rotsin: 0.2198, loss_centerness: 0.5721, loss_velo: 0.0613, loss_dir: 0.3662, loss_attr: 0.2350, loss: 3.5314, grad_norm: 8.9197
2021-07-28 21:58:39,424 - mmdet - INFO - Epoch [7][600/2217]	lr: 8.000e-03, eta: 7:46:31, time: 2.257, data_time: 0.060, memory: 28667, loss_cls: 0.2251, loss_offset: 0.5425, loss_depth: 0.6644, loss_size: 0.5862, loss_rotsin: 0.2211, loss_centerness: 0.5715, loss_velo: 0.0585, loss_dir: 0.3592, loss_attr: 0.2459, loss: 3.4744, grad_norm: 7.4484
2021-07-28 22:00:32,760 - mmdet - INFO - Epoch [7][650/2217]	lr: 8.000e-03, eta: 7:44:44, time: 2.267, data_time: 0.060, memory: 28667, loss_cls: 0.2237, loss_offset: 0.5446, loss_depth: 0.6387, loss_size: 0.5600, loss_rotsin: 0.2154, loss_centerness: 0.5717, loss_velo: 0.0577, loss_dir: 0.3588, loss_attr: 0.2409, loss: 3.4116, grad_norm: 7.5842
2021-07-28 22:02:23,086 - mmdet - INFO - Epoch [7][700/2217]	lr: 8.000e-03, eta: 7:42:54, time: 2.207, data_time: 0.060, memory: 28667, loss_cls: 0.2265, loss_offset: 0.5470, loss_depth: 0.6290, loss_size: 0.5804, loss_rotsin: 0.2183, loss_centerness: 0.5719, loss_velo: 0.0622, loss_dir: 0.3552, loss_attr: 0.2471, loss: 3.4375, grad_norm: 7.8919
2021-07-28 22:04:13,304 - mmdet - INFO - Epoch [7][750/2217]	lr: 8.000e-03, eta: 7:41:04, time: 2.204, data_time: 0.060, memory: 28667, loss_cls: 0.2256, loss_offset: 0.5407, loss_depth: 0.7095, loss_size: 0.5667, loss_rotsin: 0.2169, loss_centerness: 0.5716, loss_velo: 0.0589, loss_dir: 0.3522, loss_attr: 0.2280, loss: 3.4700, grad_norm: 8.8023
2021-07-28 22:06:05,289 - mmdet - INFO - Epoch [7][800/2217]	lr: 8.000e-03, eta: 7:39:15, time: 2.240, data_time: 0.061, memory: 28667, loss_cls: 0.2262, loss_offset: 0.5487, loss_depth: 0.7624, loss_size: 0.5828, loss_rotsin: 0.2138, loss_centerness: 0.5725, loss_velo: 0.0573, loss_dir: 0.3518, loss_attr: 0.2425, loss: 3.5582, grad_norm: 9.1179
2021-07-28 22:07:55,995 - mmdet - INFO - Epoch [7][850/2217]	lr: 8.000e-03, eta: 7:37:25, time: 2.214, data_time: 0.059, memory: 28667, loss_cls: 0.2238, loss_offset: 0.5428, loss_depth: 0.7428, loss_size: 0.5588, loss_rotsin: 0.2150, loss_centerness: 0.5719, loss_velo: 0.0579, loss_dir: 0.3527, loss_attr: 0.2344, loss: 3.4999, grad_norm: 8.9790
2021-07-28 22:09:47,407 - mmdet - INFO - Epoch [7][900/2217]	lr: 8.000e-03, eta: 7:35:36, time: 2.228, data_time: 0.057, memory: 28667, loss_cls: 0.2230, loss_offset: 0.5373, loss_depth: 0.6540, loss_size: 0.5599, loss_rotsin: 0.2114, loss_centerness: 0.5717, loss_velo: 0.0571, loss_dir: 0.3501, loss_attr: 0.2302, loss: 3.3947, grad_norm: 8.2151
2021-07-28 22:11:41,453 - mmdet - INFO - Epoch [7][950/2217]	lr: 8.000e-03, eta: 7:33:49, time: 2.281, data_time: 0.057, memory: 28667, loss_cls: 0.2250, loss_offset: 0.5446, loss_depth: 0.6231, loss_size: 0.5656, loss_rotsin: 0.2174, loss_centerness: 0.5721, loss_velo: 0.0595, loss_dir: 0.3550, loss_attr: 0.2375, loss: 3.3999, grad_norm: 7.5157
2021-07-28 22:13:33,640 - mmdet - INFO - Epoch [7][1000/2217]	lr: 8.000e-03, eta: 7:32:01, time: 2.244, data_time: 0.056, memory: 28667, loss_cls: 0.2236, loss_offset: 0.5427, loss_depth: 0.6305, loss_size: 0.5797, loss_rotsin: 0.2146, loss_centerness: 0.5719, loss_velo: 0.0568, loss_dir: 0.3538, loss_attr: 0.2411, loss: 3.4147, grad_norm: 7.6362
2021-07-28 22:15:24,690 - mmdet - INFO - Epoch [7][1050/2217]	lr: 8.000e-03, eta: 7:30:11, time: 2.221, data_time: 0.060, memory: 28667, loss_cls: 0.2237, loss_offset: 0.5419, loss_depth: 0.7770, loss_size: 0.5730, loss_rotsin: 0.2183, loss_centerness: 0.5717, loss_velo: 0.0566, loss_dir: 0.3613, loss_attr: 0.2308, loss: 3.5542, grad_norm: 8.5185
2021-07-28 22:17:15,510 - mmdet - INFO - Epoch [7][1100/2217]	lr: 8.000e-03, eta: 7:28:22, time: 2.217, data_time: 0.059, memory: 28667, loss_cls: 0.2244, loss_offset: 0.5462, loss_depth: 0.7071, loss_size: 0.5880, loss_rotsin: 0.2172, loss_centerness: 0.5723, loss_velo: 0.0547, loss_dir: 0.3531, loss_attr: 0.2346, loss: 3.4976, grad_norm: 8.6415
2021-07-28 22:19:07,762 - mmdet - INFO - Epoch [7][1150/2217]	lr: 8.000e-03, eta: 7:26:33, time: 2.245, data_time: 0.058, memory: 28667, loss_cls: 0.2246, loss_offset: 0.5398, loss_depth: 0.8933, loss_size: 0.5759, loss_rotsin: 0.2162, loss_centerness: 0.5718, loss_velo: 0.0589, loss_dir: 0.3577, loss_attr: 0.2320, loss: 3.6702, grad_norm: 9.4450
2021-07-28 22:20:59,454 - mmdet - INFO - Epoch [7][1200/2217]	lr: 8.000e-03, eta: 7:24:44, time: 2.234, data_time: 0.061, memory: 28667, loss_cls: 0.2257, loss_offset: 0.5429, loss_depth: 0.7341, loss_size: 0.5638, loss_rotsin: 0.2193, loss_centerness: 0.5719, loss_velo: 0.0594, loss_dir: 0.3605, loss_attr: 0.2327, loss: 3.5104, grad_norm: 8.3555
2021-07-28 22:22:52,150 - mmdet - INFO - Epoch [7][1250/2217]	lr: 8.000e-03, eta: 7:22:56, time: 2.254, data_time: 0.057, memory: 28667, loss_cls: 0.2283, loss_offset: 0.5482, loss_depth: 0.6618, loss_size: 0.5776, loss_rotsin: 0.2159, loss_centerness: 0.5720, loss_velo: 0.0579, loss_dir: 0.3604, loss_attr: 0.2397, loss: 3.4618, grad_norm: 8.3858
2021-07-28 22:24:42,383 - mmdet - INFO - Epoch [7][1300/2217]	lr: 8.000e-03, eta: 7:21:06, time: 2.205, data_time: 0.058, memory: 28667, loss_cls: 0.2256, loss_offset: 0.5533, loss_depth: 0.6653, loss_size: 0.6037, loss_rotsin: 0.2169, loss_centerness: 0.5724, loss_velo: 0.0563, loss_dir: 0.3643, loss_attr: 0.2382, loss: 3.4960, grad_norm: 8.0736
2021-07-28 22:26:34,383 - mmdet - INFO - Epoch [7][1350/2217]	lr: 8.000e-03, eta: 7:19:17, time: 2.240, data_time: 0.057, memory: 28667, loss_cls: 0.2220, loss_offset: 0.5383, loss_depth: 0.6681, loss_size: 0.5774, loss_rotsin: 0.2105, loss_centerness: 0.5714, loss_velo: 0.0575, loss_dir: 0.3589, loss_attr: 0.2344, loss: 3.4385, grad_norm: 8.4347
2021-07-28 22:28:25,840 - mmdet - INFO - Epoch [7][1400/2217]	lr: 8.000e-03, eta: 7:17:27, time: 2.229, data_time: 0.064, memory: 28667, loss_cls: 0.2231, loss_offset: 0.5440, loss_depth: 0.6496, loss_size: 0.5771, loss_rotsin: 0.2151, loss_centerness: 0.5720, loss_velo: 0.0585, loss_dir: 0.3553, loss_attr: 0.2323, loss: 3.4271, grad_norm: 8.0542
2021-07-28 22:30:14,963 - mmdet - INFO - Epoch [7][1450/2217]	lr: 8.000e-03, eta: 7:15:36, time: 2.183, data_time: 0.058, memory: 28667, loss_cls: 0.2243, loss_offset: 0.5387, loss_depth: 0.6155, loss_size: 0.5908, loss_rotsin: 0.2140, loss_centerness: 0.5716, loss_velo: 0.0583, loss_dir: 0.3573, loss_attr: 0.2347, loss: 3.4053, grad_norm: 7.4848
2021-07-28 22:32:05,623 - mmdet - INFO - Epoch [7][1500/2217]	lr: 8.000e-03, eta: 7:13:46, time: 2.213, data_time: 0.056, memory: 28667, loss_cls: 0.2245, loss_offset: 0.5460, loss_depth: 0.6974, loss_size: 0.5767, loss_rotsin: 0.2208, loss_centerness: 0.5725, loss_velo: 0.0588, loss_dir: 0.3571, loss_attr: 0.2464, loss: 3.5001, grad_norm: 8.5769
2021-07-28 22:33:53,763 - mmdet - INFO - Epoch [7][1550/2217]	lr: 8.000e-03, eta: 7:11:54, time: 2.163, data_time: 0.060, memory: 28667, loss_cls: 0.2267, loss_offset: 0.5512, loss_depth: 0.7071, loss_size: 0.5808, loss_rotsin: 0.2159, loss_centerness: 0.5726, loss_velo: 0.0567, loss_dir: 0.3577, loss_attr: 0.2327, loss: 3.5014, grad_norm: 8.7659
2021-07-28 22:35:44,196 - mmdet - INFO - Epoch [7][1600/2217]	lr: 8.000e-03, eta: 7:10:04, time: 2.209, data_time: 0.056, memory: 28667, loss_cls: 0.2264, loss_offset: 0.5497, loss_depth: 0.7923, loss_size: 0.6017, loss_rotsin: 0.2173, loss_centerness: 0.5723, loss_velo: 0.0580, loss_dir: 0.3669, loss_attr: 0.2367, loss: 3.6213, grad_norm: 8.9497
2021-07-28 22:37:34,053 - mmdet - INFO - Epoch [7][1650/2217]	lr: 8.000e-03, eta: 7:08:14, time: 2.197, data_time: 0.057, memory: 28667, loss_cls: 0.2250, loss_offset: 0.5462, loss_depth: 0.6546, loss_size: 0.5772, loss_rotsin: 0.2144, loss_centerness: 0.5718, loss_velo: 0.0573, loss_dir: 0.3602, loss_attr: 0.2341, loss: 3.4409, grad_norm: 7.5088
2021-07-28 22:39:21,899 - mmdet - INFO - Epoch [7][1700/2217]	lr: 8.000e-03, eta: 7:06:22, time: 2.157, data_time: 0.055, memory: 28667, loss_cls: 0.2237, loss_offset: 0.5454, loss_depth: 0.8756, loss_size: 0.5613, loss_rotsin: 0.2148, loss_centerness: 0.5720, loss_velo: 0.0570, loss_dir: 0.3507, loss_attr: 0.2349, loss: 3.6355, grad_norm: 9.9677
2021-07-28 22:41:11,913 - mmdet - INFO - Epoch [7][1750/2217]	lr: 8.000e-03, eta: 7:04:31, time: 2.200, data_time: 0.057, memory: 28667, loss_cls: 0.2271, loss_offset: 0.5461, loss_depth: 0.7010, loss_size: 0.5955, loss_rotsin: 0.2127, loss_centerness: 0.5720, loss_velo: 0.0585, loss_dir: 0.3588, loss_attr: 0.2382, loss: 3.5099, grad_norm: 8.4901
2021-07-28 22:43:01,967 - mmdet - INFO - Epoch [7][1800/2217]	lr: 8.000e-03, eta: 7:02:41, time: 2.201, data_time: 0.059, memory: 28667, loss_cls: 0.2276, loss_offset: 0.5475, loss_depth: 1.2179, loss_size: 0.5803, loss_rotsin: 0.2142, loss_centerness: 0.5722, loss_velo: 0.0549, loss_dir: 0.3596, loss_attr: 0.2453, loss: 4.0194, grad_norm: 10.2597
2021-07-28 22:44:52,495 - mmdet - INFO - Epoch [7][1850/2217]	lr: 8.000e-03, eta: 7:00:51, time: 2.210, data_time: 0.055, memory: 28667, loss_cls: 0.2252, loss_offset: 0.5503, loss_depth: 0.8700, loss_size: 0.5724, loss_rotsin: 0.2198, loss_centerness: 0.5723, loss_velo: 0.0555, loss_dir: 0.3545, loss_attr: 0.2319, loss: 3.6519, grad_norm: 9.1705
2021-07-28 22:46:45,415 - mmdet - INFO - Epoch [7][1900/2217]	lr: 8.000e-03, eta: 6:59:02, time: 2.258, data_time: 0.057, memory: 28667, loss_cls: 0.2297, loss_offset: 0.5562, loss_depth: 0.8981, loss_size: 0.6016, loss_rotsin: 0.2170, loss_centerness: 0.5727, loss_velo: 0.0569, loss_dir: 0.3592, loss_attr: 0.2452, loss: 3.7365, grad_norm: 9.6851
2021-07-28 22:48:34,512 - mmdet - INFO - Epoch [7][1950/2217]	lr: 8.000e-03, eta: 6:57:11, time: 2.182, data_time: 0.055, memory: 28667, loss_cls: 0.2245, loss_offset: 0.5407, loss_depth: 0.6818, loss_size: 0.5838, loss_rotsin: 0.2114, loss_centerness: 0.5716, loss_velo: 0.0537, loss_dir: 0.3523, loss_attr: 0.2373, loss: 3.4571, grad_norm: 8.2104
2021-07-28 22:50:26,537 - mmdet - INFO - Epoch [7][2000/2217]	lr: 8.000e-03, eta: 6:55:22, time: 2.241, data_time: 0.059, memory: 28667, loss_cls: 0.2217, loss_offset: 0.5423, loss_depth: 0.8181, loss_size: 0.5949, loss_rotsin: 0.2120, loss_centerness: 0.5719, loss_velo: 0.0564, loss_dir: 0.3510, loss_attr: 0.2380, loss: 3.6062, grad_norm: 9.6239
2021-07-28 22:52:16,905 - mmdet - INFO - Epoch [7][2050/2217]	lr: 8.000e-03, eta: 6:53:32, time: 2.207, data_time: 0.060, memory: 28667, loss_cls: 0.2250, loss_offset: 0.5459, loss_depth: 0.7330, loss_size: 0.5902, loss_rotsin: 0.2217, loss_centerness: 0.5719, loss_velo: 0.0567, loss_dir: 0.3630, loss_attr: 0.2402, loss: 3.5477, grad_norm: 8.2281
2021-07-28 22:54:06,181 - mmdet - INFO - Epoch [7][2100/2217]	lr: 8.000e-03, eta: 6:51:41, time: 2.186, data_time: 0.059, memory: 28667, loss_cls: 0.2219, loss_offset: 0.5363, loss_depth: 0.6535, loss_size: 0.5635, loss_rotsin: 0.2137, loss_centerness: 0.5718, loss_velo: 0.0549, loss_dir: 0.3597, loss_attr: 0.2416, loss: 3.4169, grad_norm: 8.1424
2021-07-28 22:55:55,787 - mmdet - INFO - Epoch [7][2150/2217]	lr: 8.000e-03, eta: 6:49:50, time: 2.192, data_time: 0.058, memory: 28667, loss_cls: 0.2220, loss_offset: 0.5395, loss_depth: 1.0906, loss_size: 0.5616, loss_rotsin: 0.2147, loss_centerness: 0.5716, loss_velo: 0.0539, loss_dir: 0.3466, loss_attr: 0.2324, loss: 3.8328, grad_norm: 10.6634
2021-07-28 22:57:46,180 - mmdet - INFO - Epoch [7][2200/2217]	lr: 8.000e-03, eta: 6:48:00, time: 2.208, data_time: 0.058, memory: 28667, loss_cls: 0.2235, loss_offset: 0.5442, loss_depth: 0.6654, loss_size: 0.5728, loss_rotsin: 0.2094, loss_centerness: 0.5722, loss_velo: 0.0581, loss_dir: 0.3485, loss_attr: 0.2291, loss: 3.4231, grad_norm: 8.0087
2021-07-28 22:58:22,811 - mmdet - INFO - Saving checkpoint at 7 epochs
2021-07-28 23:00:25,750 - mmdet - INFO - Epoch [8][50/2217]	lr: 8.000e-03, eta: 6:45:14, time: 2.427, data_time: 0.234, memory: 28667, loss_cls: 0.2203, loss_offset: 0.5393, loss_depth: 0.7286, loss_size: 0.5673, loss_rotsin: 0.2104, loss_centerness: 0.5717, loss_velo: 0.0538, loss_dir: 0.3403, loss_attr: 0.2102, loss: 3.4418, grad_norm: 9.0180
2021-07-28 23:02:15,708 - mmdet - INFO - Epoch [8][100/2217]	lr: 8.000e-03, eta: 6:43:24, time: 2.199, data_time: 0.055, memory: 28667, loss_cls: 0.2187, loss_offset: 0.5284, loss_depth: 0.7123, loss_size: 0.5509, loss_rotsin: 0.2052, loss_centerness: 0.5713, loss_velo: 0.0570, loss_dir: 0.3356, loss_attr: 0.2097, loss: 3.3891, grad_norm: 8.7604
2021-07-28 23:04:06,686 - mmdet - INFO - Epoch [8][150/2217]	lr: 8.000e-03, eta: 6:41:34, time: 2.220, data_time: 0.055, memory: 28667, loss_cls: 0.2185, loss_offset: 0.5359, loss_depth: 0.6513, loss_size: 0.5483, loss_rotsin: 0.2056, loss_centerness: 0.5717, loss_velo: 0.0562, loss_dir: 0.3414, loss_attr: 0.1975, loss: 3.3263, grad_norm: 7.9989
2021-07-28 23:05:55,156 - mmdet - INFO - Epoch [8][200/2217]	lr: 8.000e-03, eta: 6:39:43, time: 2.169, data_time: 0.059, memory: 28667, loss_cls: 0.2206, loss_offset: 0.5368, loss_depth: 0.7048, loss_size: 0.5395, loss_rotsin: 0.2063, loss_centerness: 0.5718, loss_velo: 0.0553, loss_dir: 0.3424, loss_attr: 0.2143, loss: 3.3918, grad_norm: 8.6786
2021-07-28 23:07:45,083 - mmdet - INFO - Epoch [8][250/2217]	lr: 8.000e-03, eta: 6:37:52, time: 2.199, data_time: 0.061, memory: 28667, loss_cls: 0.2193, loss_offset: 0.5314, loss_depth: 0.7064, loss_size: 0.5554, loss_rotsin: 0.2090, loss_centerness: 0.5712, loss_velo: 0.0572, loss_dir: 0.3311, loss_attr: 0.2098, loss: 3.3909, grad_norm: 8.7315
2021-07-28 23:09:34,650 - mmdet - INFO - Epoch [8][300/2217]	lr: 8.000e-03, eta: 6:36:02, time: 2.191, data_time: 0.056, memory: 28667, loss_cls: 0.2185, loss_offset: 0.5397, loss_depth: 0.6172, loss_size: 0.5422, loss_rotsin: 0.2123, loss_centerness: 0.5721, loss_velo: 0.0567, loss_dir: 0.3406, loss_attr: 0.2015, loss: 3.3010, grad_norm: 7.2575
2021-07-28 23:11:24,415 - mmdet - INFO - Epoch [8][350/2217]	lr: 8.000e-03, eta: 6:34:11, time: 2.195, data_time: 0.059, memory: 28667, loss_cls: 0.2191, loss_offset: 0.5363, loss_depth: 0.6183, loss_size: 0.5403, loss_rotsin: 0.2130, loss_centerness: 0.5716, loss_velo: 0.0541, loss_dir: 0.3416, loss_attr: 0.2127, loss: 3.3069, grad_norm: 7.9866
2021-07-28 23:13:14,118 - mmdet - INFO - Epoch [8][400/2217]	lr: 8.000e-03, eta: 6:32:21, time: 2.194, data_time: 0.056, memory: 28667, loss_cls: 0.2198, loss_offset: 0.5306, loss_depth: 0.9852, loss_size: 0.5584, loss_rotsin: 0.2049, loss_centerness: 0.5715, loss_velo: 0.0566, loss_dir: 0.3314, loss_attr: 0.2178, loss: 3.6761, grad_norm: 10.1966
2021-07-28 23:15:03,512 - mmdet - INFO - Epoch [8][450/2217]	lr: 8.000e-03, eta: 6:30:30, time: 2.188, data_time: 0.060, memory: 28667, loss_cls: 0.2194, loss_offset: 0.5366, loss_depth: 0.7873, loss_size: 0.5514, loss_rotsin: 0.2142, loss_centerness: 0.5713, loss_velo: 0.0545, loss_dir: 0.3424, loss_attr: 0.2050, loss: 3.4820, grad_norm: 9.5492
2021-07-28 23:16:53,758 - mmdet - INFO - Epoch [8][500/2217]	lr: 8.000e-03, eta: 6:28:40, time: 2.205, data_time: 0.056, memory: 28667, loss_cls: 0.2195, loss_offset: 0.5349, loss_depth: 0.6307, loss_size: 0.5528, loss_rotsin: 0.2096, loss_centerness: 0.5718, loss_velo: 0.0563, loss_dir: 0.3416, loss_attr: 0.2131, loss: 3.3303, grad_norm: 7.5833
2021-07-28 23:18:44,682 - mmdet - INFO - Epoch [8][550/2217]	lr: 8.000e-03, eta: 6:26:50, time: 2.218, data_time: 0.057, memory: 28667, loss_cls: 0.2211, loss_offset: 0.5386, loss_depth: 0.9618, loss_size: 0.5695, loss_rotsin: 0.2089, loss_centerness: 0.5718, loss_velo: 0.0583, loss_dir: 0.3410, loss_attr: 0.2088, loss: 3.6797, grad_norm: 10.5413
2021-07-28 23:20:35,732 - mmdet - INFO - Epoch [8][600/2217]	lr: 8.000e-03, eta: 6:25:01, time: 2.221, data_time: 0.059, memory: 28667, loss_cls: 0.2146, loss_offset: 0.5193, loss_depth: 0.7439, loss_size: 0.5430, loss_rotsin: 0.2060, loss_centerness: 0.5709, loss_velo: 0.0555, loss_dir: 0.3340, loss_attr: 0.2047, loss: 3.3918, grad_norm: 8.5872
2021-07-28 23:22:26,759 - mmdet - INFO - Epoch [8][650/2217]	lr: 8.000e-03, eta: 6:23:11, time: 2.221, data_time: 0.061, memory: 28667, loss_cls: 0.2195, loss_offset: 0.5362, loss_depth: 0.5950, loss_size: 0.5444, loss_rotsin: 0.2041, loss_centerness: 0.5716, loss_velo: 0.0559, loss_dir: 0.3408, loss_attr: 0.2112, loss: 3.2786, grad_norm: 7.5346
2021-07-28 23:24:16,879 - mmdet - INFO - Epoch [8][700/2217]	lr: 8.000e-03, eta: 6:21:21, time: 2.202, data_time: 0.061, memory: 28667, loss_cls: 0.2214, loss_offset: 0.5399, loss_depth: 0.7244, loss_size: 0.5618, loss_rotsin: 0.2076, loss_centerness: 0.5718, loss_velo: 0.0546, loss_dir: 0.3476, loss_attr: 0.2218, loss: 3.4509, grad_norm: 9.0952
2021-07-28 23:26:08,108 - mmdet - INFO - Epoch [8][750/2217]	lr: 8.000e-03, eta: 6:19:31, time: 2.225, data_time: 0.061, memory: 28667, loss_cls: 0.2214, loss_offset: 0.5310, loss_depth: 0.7817, loss_size: 0.5475, loss_rotsin: 0.2091, loss_centerness: 0.5711, loss_velo: 0.0559, loss_dir: 0.3338, loss_attr: 0.2150, loss: 3.4665, grad_norm: 9.5588
2021-07-28 23:27:58,803 - mmdet - INFO - Epoch [8][800/2217]	lr: 8.000e-03, eta: 6:17:42, time: 2.214, data_time: 0.058, memory: 28667, loss_cls: 0.2174, loss_offset: 0.5341, loss_depth: 0.6060, loss_size: 0.5310, loss_rotsin: 0.2068, loss_centerness: 0.5712, loss_velo: 0.0531, loss_dir: 0.3347, loss_attr: 0.2037, loss: 3.2580, grad_norm: 7.0993
2021-07-28 23:29:48,993 - mmdet - INFO - Epoch [8][850/2217]	lr: 8.000e-03, eta: 6:15:51, time: 2.204, data_time: 0.061, memory: 28667, loss_cls: 0.2208, loss_offset: 0.5359, loss_depth: 0.6098, loss_size: 0.5546, loss_rotsin: 0.2070, loss_centerness: 0.5717, loss_velo: 0.0561, loss_dir: 0.3423, loss_attr: 0.2154, loss: 3.3135, grad_norm: 7.6939
2021-07-28 23:31:40,122 - mmdet - INFO - Epoch [8][900/2217]	lr: 8.000e-03, eta: 6:14:02, time: 2.223, data_time: 0.060, memory: 28667, loss_cls: 0.2189, loss_offset: 0.5286, loss_depth: 0.8625, loss_size: 0.5615, loss_rotsin: 0.2067, loss_centerness: 0.5712, loss_velo: 0.0558, loss_dir: 0.3356, loss_attr: 0.2115, loss: 3.5523, grad_norm: 9.8780
2021-07-28 23:33:30,642 - mmdet - INFO - Epoch [8][950/2217]	lr: 8.000e-03, eta: 6:12:12, time: 2.210, data_time: 0.059, memory: 28667, loss_cls: 0.2224, loss_offset: 0.5377, loss_depth: 0.6547, loss_size: 0.5442, loss_rotsin: 0.2098, loss_centerness: 0.5720, loss_velo: 0.0553, loss_dir: 0.3390, loss_attr: 0.2106, loss: 3.3458, grad_norm: 8.0470
2021-07-28 23:35:20,784 - mmdet - INFO - Epoch [8][1000/2217]	lr: 8.000e-03, eta: 6:10:22, time: 2.203, data_time: 0.060, memory: 28667, loss_cls: 0.2203, loss_offset: 0.5245, loss_depth: 0.6435, loss_size: 0.5544, loss_rotsin: 0.2115, loss_centerness: 0.5708, loss_velo: 0.0565, loss_dir: 0.3331, loss_attr: 0.2161, loss: 3.3307, grad_norm: 8.3668
2021-07-28 23:37:11,519 - mmdet - INFO - Epoch [8][1050/2217]	lr: 8.000e-03, eta: 6:08:32, time: 2.215, data_time: 0.059, memory: 28667, loss_cls: 0.2217, loss_offset: 0.5354, loss_depth: 0.6884, loss_size: 0.5533, loss_rotsin: 0.2046, loss_centerness: 0.5717, loss_velo: 0.0545, loss_dir: 0.3391, loss_attr: 0.1992, loss: 3.3680, grad_norm: 8.7091
2021-07-28 23:39:01,617 - mmdet - INFO - Epoch [8][1100/2217]	lr: 8.000e-03, eta: 6:06:42, time: 2.202, data_time: 0.063, memory: 28667, loss_cls: 0.2204, loss_offset: 0.5396, loss_depth: 0.5786, loss_size: 0.5609, loss_rotsin: 0.2139, loss_centerness: 0.5716, loss_velo: 0.0517, loss_dir: 0.3404, loss_attr: 0.2106, loss: 3.2877, grad_norm: 6.8859
2021-07-28 23:40:51,598 - mmdet - INFO - Epoch [8][1150/2217]	lr: 8.000e-03, eta: 6:04:51, time: 2.200, data_time: 0.060, memory: 28667, loss_cls: 0.2147, loss_offset: 0.5273, loss_depth: 0.6120, loss_size: 0.5400, loss_rotsin: 0.2058, loss_centerness: 0.5712, loss_velo: 0.0536, loss_dir: 0.3345, loss_attr: 0.2148, loss: 3.2740, grad_norm: 7.5276
2021-07-28 23:42:43,092 - mmdet - INFO - Epoch [8][1200/2217]	lr: 8.000e-03, eta: 6:03:02, time: 2.230, data_time: 0.059, memory: 28667, loss_cls: 0.2192, loss_offset: 0.5331, loss_depth: 0.7324, loss_size: 0.5483, loss_rotsin: 0.2064, loss_centerness: 0.5714, loss_velo: 0.0544, loss_dir: 0.3397, loss_attr: 0.2107, loss: 3.4157, grad_norm: 8.7798
2021-07-28 23:44:36,218 - mmdet - INFO - Epoch [8][1250/2217]	lr: 8.000e-03, eta: 6:01:14, time: 2.262, data_time: 0.057, memory: 28667, loss_cls: 0.2216, loss_offset: 0.5375, loss_depth: 0.7976, loss_size: 0.5595, loss_rotsin: 0.2096, loss_centerness: 0.5713, loss_velo: 0.0555, loss_dir: 0.3404, loss_attr: 0.2216, loss: 3.5145, grad_norm: 9.1922
2021-07-28 23:46:30,012 - mmdet - INFO - Epoch [8][1300/2217]	lr: 8.000e-03, eta: 5:59:25, time: 2.276, data_time: 0.062, memory: 28667, loss_cls: 0.2197, loss_offset: 0.5330, loss_depth: 0.6845, loss_size: 0.5570, loss_rotsin: 0.2023, loss_centerness: 0.5716, loss_velo: 0.0560, loss_dir: 0.3333, loss_attr: 0.2185, loss: 3.3758, grad_norm: 8.4585
2021-07-28 23:48:20,965 - mmdet - INFO - Epoch [8][1350/2217]	lr: 8.000e-03, eta: 5:57:36, time: 2.219, data_time: 0.059, memory: 28667, loss_cls: 0.2203, loss_offset: 0.5346, loss_depth: 0.6870, loss_size: 0.5544, loss_rotsin: 0.2131, loss_centerness: 0.5716, loss_velo: 0.0544, loss_dir: 0.3391, loss_attr: 0.2156, loss: 3.3901, grad_norm: 8.1173
2021-07-28 23:50:12,451 - mmdet - INFO - Epoch [8][1400/2217]	lr: 8.000e-03, eta: 5:55:46, time: 2.230, data_time: 0.060, memory: 28667, loss_cls: 0.2192, loss_offset: 0.5286, loss_depth: 0.8327, loss_size: 0.5572, loss_rotsin: 0.2065, loss_centerness: 0.5710, loss_velo: 0.0548, loss_dir: 0.3381, loss_attr: 0.2121, loss: 3.5202, grad_norm: 9.1428
2021-07-28 23:52:05,838 - mmdet - INFO - Epoch [8][1450/2217]	lr: 8.000e-03, eta: 5:53:58, time: 2.268, data_time: 0.057, memory: 28667, loss_cls: 0.2231, loss_offset: 0.5390, loss_depth: 0.7105, loss_size: 0.5582, loss_rotsin: 0.2067, loss_centerness: 0.5715, loss_velo: 0.0587, loss_dir: 0.3375, loss_attr: 0.2259, loss: 3.4309, grad_norm: 8.5546
2021-07-28 23:53:59,697 - mmdet - INFO - Epoch [8][1500/2217]	lr: 8.000e-03, eta: 5:52:10, time: 2.277, data_time: 0.059, memory: 28667, loss_cls: 0.2200, loss_offset: 0.5330, loss_depth: 0.5984, loss_size: 0.5468, loss_rotsin: 0.2059, loss_centerness: 0.5712, loss_velo: 0.0555, loss_dir: 0.3493, loss_attr: 0.2161, loss: 3.2963, grad_norm: 7.6231
2021-07-28 23:55:50,796 - mmdet - INFO - Epoch [8][1550/2217]	lr: 8.000e-03, eta: 5:50:20, time: 2.222, data_time: 0.056, memory: 28667, loss_cls: 0.2235, loss_offset: 0.5353, loss_depth: 0.6300, loss_size: 0.5577, loss_rotsin: 0.2102, loss_centerness: 0.5716, loss_velo: 0.0545, loss_dir: 0.3464, loss_attr: 0.2174, loss: 3.3466, grad_norm: 7.9567
2021-07-28 23:57:42,374 - mmdet - INFO - Epoch [8][1600/2217]	lr: 8.000e-03, eta: 5:48:30, time: 2.232, data_time: 0.059, memory: 28667, loss_cls: 0.2194, loss_offset: 0.5337, loss_depth: 0.6833, loss_size: 0.5522, loss_rotsin: 0.2039, loss_centerness: 0.5716, loss_velo: 0.0555, loss_dir: 0.3367, loss_attr: 0.2061, loss: 3.3623, grad_norm: 8.8202
2021-07-28 23:59:32,881 - mmdet - INFO - Epoch [8][1650/2217]	lr: 8.000e-03, eta: 5:46:40, time: 2.210, data_time: 0.060, memory: 28667, loss_cls: 0.2203, loss_offset: 0.5329, loss_depth: 0.6516, loss_size: 0.5572, loss_rotsin: 0.2076, loss_centerness: 0.5714, loss_velo: 0.0538, loss_dir: 0.3435, loss_attr: 0.2128, loss: 3.3511, grad_norm: 8.0171
2021-07-29 00:01:24,387 - mmdet - INFO - Epoch [8][1700/2217]	lr: 8.000e-03, eta: 5:44:51, time: 2.230, data_time: 0.057, memory: 28667, loss_cls: 0.2196, loss_offset: 0.5365, loss_depth: 0.7046, loss_size: 0.5499, loss_rotsin: 0.2105, loss_centerness: 0.5718, loss_velo: 0.0548, loss_dir: 0.3488, loss_attr: 0.2166, loss: 3.4131, grad_norm: 8.7607
2021-07-29 00:03:14,957 - mmdet - INFO - Epoch [8][1750/2217]	lr: 8.000e-03, eta: 5:43:01, time: 2.211, data_time: 0.058, memory: 28667, loss_cls: 0.2199, loss_offset: 0.5371, loss_depth: 0.8311, loss_size: 0.5617, loss_rotsin: 0.2057, loss_centerness: 0.5717, loss_velo: 0.0553, loss_dir: 0.3428, loss_attr: 0.2127, loss: 3.5380, grad_norm: 9.7415
2021-07-29 00:05:06,735 - mmdet - INFO - Epoch [8][1800/2217]	lr: 8.000e-03, eta: 5:41:11, time: 2.236, data_time: 0.059, memory: 28667, loss_cls: 0.2225, loss_offset: 0.5309, loss_depth: 0.7112, loss_size: 0.5674, loss_rotsin: 0.2066, loss_centerness: 0.5711, loss_velo: 0.0572, loss_dir: 0.3433, loss_attr: 0.2231, loss: 3.4332, grad_norm: 8.2634
2021-07-29 00:06:59,316 - mmdet - INFO - Epoch [8][1850/2217]	lr: 8.000e-03, eta: 5:39:22, time: 2.252, data_time: 0.062, memory: 28667, loss_cls: 0.2179, loss_offset: 0.5377, loss_depth: 0.5970, loss_size: 0.5418, loss_rotsin: 0.2104, loss_centerness: 0.5713, loss_velo: 0.0538, loss_dir: 0.3311, loss_attr: 0.2141, loss: 3.2752, grad_norm: 7.8656
2021-07-29 00:08:50,089 - mmdet - INFO - Epoch [8][1900/2217]	lr: 8.000e-03, eta: 5:37:32, time: 2.216, data_time: 0.060, memory: 28667, loss_cls: 0.2213, loss_offset: 0.5358, loss_depth: 0.6081, loss_size: 0.5560, loss_rotsin: 0.2097, loss_centerness: 0.5715, loss_velo: 0.0525, loss_dir: 0.3332, loss_attr: 0.2080, loss: 3.2960, grad_norm: 7.8474
2021-07-29 00:10:40,297 - mmdet - INFO - Epoch [8][1950/2217]	lr: 8.000e-03, eta: 5:35:42, time: 2.204, data_time: 0.061, memory: 28667, loss_cls: 0.2208, loss_offset: 0.5318, loss_depth: 0.5949, loss_size: 0.5795, loss_rotsin: 0.2030, loss_centerness: 0.5715, loss_velo: 0.0566, loss_dir: 0.3372, loss_attr: 0.2176, loss: 3.3130, grad_norm: 7.2669
2021-07-29 00:12:29,831 - mmdet - INFO - Epoch [8][2000/2217]	lr: 8.000e-03, eta: 5:33:51, time: 2.191, data_time: 0.063, memory: 28667, loss_cls: 0.2194, loss_offset: 0.5365, loss_depth: 0.6306, loss_size: 0.5542, loss_rotsin: 0.2007, loss_centerness: 0.5713, loss_velo: 0.0535, loss_dir: 0.3329, loss_attr: 0.2200, loss: 3.3190, grad_norm: 8.0504
2021-07-29 00:14:19,573 - mmdet - INFO - Epoch [8][2050/2217]	lr: 8.000e-03, eta: 5:32:01, time: 2.195, data_time: 0.063, memory: 28667, loss_cls: 0.2161, loss_offset: 0.5283, loss_depth: 0.6018, loss_size: 0.5413, loss_rotsin: 0.1979, loss_centerness: 0.5715, loss_velo: 0.0549, loss_dir: 0.3365, loss_attr: 0.2116, loss: 3.2598, grad_norm: 7.8972
2021-07-29 00:16:11,108 - mmdet - INFO - Epoch [8][2100/2217]	lr: 8.000e-03, eta: 5:30:11, time: 2.231, data_time: 0.062, memory: 28667, loss_cls: 0.2192, loss_offset: 0.5347, loss_depth: 0.8175, loss_size: 0.5480, loss_rotsin: 0.2044, loss_centerness: 0.5714, loss_velo: 0.0550, loss_dir: 0.3367, loss_attr: 0.2194, loss: 3.5062, grad_norm: 9.2131
2021-07-29 00:18:02,810 - mmdet - INFO - Epoch [8][2150/2217]	lr: 8.000e-03, eta: 5:28:22, time: 2.234, data_time: 0.061, memory: 28667, loss_cls: 0.2160, loss_offset: 0.5320, loss_depth: 0.8455, loss_size: 0.5419, loss_rotsin: 0.2021, loss_centerness: 0.5713, loss_velo: 0.0561, loss_dir: 0.3320, loss_attr: 0.2040, loss: 3.5009, grad_norm: 9.0847
2021-07-29 00:19:52,626 - mmdet - INFO - Epoch [8][2200/2217]	lr: 8.000e-03, eta: 5:26:31, time: 2.196, data_time: 0.062, memory: 28667, loss_cls: 0.2190, loss_offset: 0.5333, loss_depth: 0.7661, loss_size: 0.5422, loss_rotsin: 0.2014, loss_centerness: 0.5714, loss_velo: 0.0534, loss_dir: 0.3345, loss_attr: 0.2115, loss: 3.4327, grad_norm: 9.2218
2021-07-29 00:20:29,295 - mmdet - INFO - Saving checkpoint at 8 epochs
2021-07-29 00:22:32,109 - mmdet - INFO - Epoch [9][50/2217]	lr: 8.000e-04, eta: 5:23:51, time: 2.424, data_time: 0.238, memory: 28667, loss_cls: 0.2122, loss_offset: 0.5110, loss_depth: 0.5027, loss_size: 0.5083, loss_rotsin: 0.1895, loss_centerness: 0.5705, loss_velo: 0.0556, loss_dir: 0.3071, loss_attr: 0.1738, loss: 3.0307, grad_norm: 5.4568
2021-07-29 00:24:23,313 - mmdet - INFO - Epoch [9][100/2217]	lr: 8.000e-04, eta: 5:22:01, time: 2.224, data_time: 0.063, memory: 28667, loss_cls: 0.2095, loss_offset: 0.5055, loss_depth: 0.4969, loss_size: 0.4915, loss_rotsin: 0.1897, loss_centerness: 0.5698, loss_velo: 0.0564, loss_dir: 0.3114, loss_attr: 0.1637, loss: 2.9944, grad_norm: 5.2870
2021-07-29 00:26:14,629 - mmdet - INFO - Epoch [9][150/2217]	lr: 8.000e-04, eta: 5:20:11, time: 2.226, data_time: 0.056, memory: 28667, loss_cls: 0.2096, loss_offset: 0.5102, loss_depth: 0.4855, loss_size: 0.4897, loss_rotsin: 0.1900, loss_centerness: 0.5704, loss_velo: 0.0557, loss_dir: 0.2976, loss_attr: 0.1643, loss: 2.9730, grad_norm: 5.1395
2021-07-29 00:28:04,891 - mmdet - INFO - Epoch [9][200/2217]	lr: 8.000e-04, eta: 5:18:21, time: 2.205, data_time: 0.058, memory: 28667, loss_cls: 0.2061, loss_offset: 0.5113, loss_depth: 0.4781, loss_size: 0.4719, loss_rotsin: 0.1864, loss_centerness: 0.5703, loss_velo: 0.0538, loss_dir: 0.3032, loss_attr: 0.1594, loss: 2.9404, grad_norm: 4.9549
2021-07-29 00:29:53,978 - mmdet - INFO - Epoch [9][250/2217]	lr: 8.000e-04, eta: 5:16:30, time: 2.182, data_time: 0.058, memory: 28667, loss_cls: 0.2045, loss_offset: 0.5053, loss_depth: 0.4720, loss_size: 0.4668, loss_rotsin: 0.1836, loss_centerness: 0.5702, loss_velo: 0.0534, loss_dir: 0.2989, loss_attr: 0.1542, loss: 2.9088, grad_norm: 4.9722
2021-07-29 00:31:43,971 - mmdet - INFO - Epoch [9][300/2217]	lr: 8.000e-04, eta: 5:14:40, time: 2.200, data_time: 0.056, memory: 28667, loss_cls: 0.2051, loss_offset: 0.5066, loss_depth: 0.4618, loss_size: 0.4809, loss_rotsin: 0.1863, loss_centerness: 0.5697, loss_velo: 0.0512, loss_dir: 0.2917, loss_attr: 0.1474, loss: 2.9007, grad_norm: 4.9038
2021-07-29 00:33:33,192 - mmdet - INFO - Epoch [9][350/2217]	lr: 8.000e-04, eta: 5:12:49, time: 2.185, data_time: 0.054, memory: 28667, loss_cls: 0.2086, loss_offset: 0.5102, loss_depth: 0.4851, loss_size: 0.4918, loss_rotsin: 0.1827, loss_centerness: 0.5704, loss_velo: 0.0536, loss_dir: 0.2914, loss_attr: 0.1578, loss: 2.9516, grad_norm: 5.1889
2021-07-29 00:35:23,621 - mmdet - INFO - Epoch [9][400/2217]	lr: 8.000e-04, eta: 5:10:59, time: 2.209, data_time: 0.057, memory: 28667, loss_cls: 0.2058, loss_offset: 0.5040, loss_depth: 0.4648, loss_size: 0.4738, loss_rotsin: 0.1871, loss_centerness: 0.5700, loss_velo: 0.0542, loss_dir: 0.2889, loss_attr: 0.1445, loss: 2.8930, grad_norm: 5.0619
2021-07-29 00:37:16,052 - mmdet - INFO - Epoch [9][450/2217]	lr: 8.000e-04, eta: 5:09:10, time: 2.249, data_time: 0.057, memory: 28667, loss_cls: 0.2048, loss_offset: 0.4973, loss_depth: 0.4595, loss_size: 0.4685, loss_rotsin: 0.1801, loss_centerness: 0.5696, loss_velo: 0.0564, loss_dir: 0.2882, loss_attr: 0.1395, loss: 2.8639, grad_norm: 5.0438
2021-07-29 00:39:08,493 - mmdet - INFO - Epoch [9][500/2217]	lr: 8.000e-04, eta: 5:07:21, time: 2.249, data_time: 0.062, memory: 28667, loss_cls: 0.2044, loss_offset: 0.5015, loss_depth: 0.4603, loss_size: 0.4711, loss_rotsin: 0.1770, loss_centerness: 0.5703, loss_velo: 0.0547, loss_dir: 0.2872, loss_attr: 0.1431, loss: 2.8697, grad_norm: 5.0376
2021-07-29 00:40:59,124 - mmdet - INFO - Epoch [9][550/2217]	lr: 8.000e-04, eta: 5:05:31, time: 2.213, data_time: 0.056, memory: 28667, loss_cls: 0.2074, loss_offset: 0.5019, loss_depth: 0.4743, loss_size: 0.4842, loss_rotsin: 0.1847, loss_centerness: 0.5702, loss_velo: 0.0535, loss_dir: 0.2923, loss_attr: 0.1524, loss: 2.9209, grad_norm: 5.2149
2021-07-29 00:42:50,698 - mmdet - INFO - Epoch [9][600/2217]	lr: 8.000e-04, eta: 5:03:42, time: 2.231, data_time: 0.059, memory: 28667, loss_cls: 0.2029, loss_offset: 0.4942, loss_depth: 0.4527, loss_size: 0.4685, loss_rotsin: 0.1812, loss_centerness: 0.5696, loss_velo: 0.0520, loss_dir: 0.2880, loss_attr: 0.1430, loss: 2.8523, grad_norm: 5.0154
2021-07-29 00:44:42,024 - mmdet - INFO - Epoch [9][650/2217]	lr: 8.000e-04, eta: 5:01:52, time: 2.227, data_time: 0.058, memory: 28667, loss_cls: 0.2037, loss_offset: 0.5000, loss_depth: 0.4627, loss_size: 0.4606, loss_rotsin: 0.1792, loss_centerness: 0.5700, loss_velo: 0.0555, loss_dir: 0.2832, loss_attr: 0.1491, loss: 2.8641, grad_norm: 4.9514
2021-07-29 00:46:34,809 - mmdet - INFO - Epoch [9][700/2217]	lr: 8.000e-04, eta: 5:00:03, time: 2.256, data_time: 0.059, memory: 28667, loss_cls: 0.2021, loss_offset: 0.4973, loss_depth: 0.4622, loss_size: 0.4650, loss_rotsin: 0.1808, loss_centerness: 0.5699, loss_velo: 0.0549, loss_dir: 0.2870, loss_attr: 0.1447, loss: 2.8640, grad_norm: 5.3193
2021-07-29 00:48:27,144 - mmdet - INFO - Epoch [9][750/2217]	lr: 8.000e-04, eta: 4:58:14, time: 2.247, data_time: 0.056, memory: 28667, loss_cls: 0.2025, loss_offset: 0.5004, loss_depth: 0.4576, loss_size: 0.4603, loss_rotsin: 0.1785, loss_centerness: 0.5702, loss_velo: 0.0534, loss_dir: 0.2832, loss_attr: 0.1421, loss: 2.8483, grad_norm: 4.9865
2021-07-29 00:50:20,397 - mmdet - INFO - Epoch [9][800/2217]	lr: 8.000e-04, eta: 4:56:25, time: 2.265, data_time: 0.059, memory: 28667, loss_cls: 0.2019, loss_offset: 0.5037, loss_depth: 0.4600, loss_size: 0.4730, loss_rotsin: 0.1821, loss_centerness: 0.5700, loss_velo: 0.0510, loss_dir: 0.2853, loss_attr: 0.1411, loss: 2.8681, grad_norm: 5.2537
2021-07-29 00:52:09,857 - mmdet - INFO - Epoch [9][850/2217]	lr: 8.000e-04, eta: 4:54:34, time: 2.189, data_time: 0.057, memory: 28667, loss_cls: 0.2024, loss_offset: 0.4990, loss_depth: 0.4492, loss_size: 0.4655, loss_rotsin: 0.1811, loss_centerness: 0.5699, loss_velo: 0.0528, loss_dir: 0.2883, loss_attr: 0.1379, loss: 2.8459, grad_norm: 5.0265
2021-07-29 00:54:02,559 - mmdet - INFO - Epoch [9][900/2217]	lr: 8.000e-04, eta: 4:52:45, time: 2.254, data_time: 0.058, memory: 28667, loss_cls: 0.2048, loss_offset: 0.4975, loss_depth: 0.4532, loss_size: 0.4758, loss_rotsin: 0.1786, loss_centerness: 0.5697, loss_velo: 0.0535, loss_dir: 0.2834, loss_attr: 0.1416, loss: 2.8582, grad_norm: 5.1601
2021-07-29 00:55:54,563 - mmdet - INFO - Epoch [9][950/2217]	lr: 8.000e-04, eta: 4:50:55, time: 2.240, data_time: 0.058, memory: 28667, loss_cls: 0.2028, loss_offset: 0.4929, loss_depth: 0.4546, loss_size: 0.4661, loss_rotsin: 0.1785, loss_centerness: 0.5696, loss_velo: 0.0537, loss_dir: 0.2885, loss_attr: 0.1390, loss: 2.8458, grad_norm: 5.2017
2021-07-29 00:57:44,060 - mmdet - INFO - Epoch [9][1000/2217]	lr: 8.000e-04, eta: 4:49:05, time: 2.190, data_time: 0.058, memory: 28667, loss_cls: 0.2004, loss_offset: 0.4926, loss_depth: 0.4428, loss_size: 0.4549, loss_rotsin: 0.1758, loss_centerness: 0.5696, loss_velo: 0.0499, loss_dir: 0.2865, loss_attr: 0.1404, loss: 2.8129, grad_norm: 4.9963
2021-07-29 00:59:33,687 - mmdet - INFO - Epoch [9][1050/2217]	lr: 8.000e-04, eta: 4:47:14, time: 2.193, data_time: 0.057, memory: 28667, loss_cls: 0.2033, loss_offset: 0.5042, loss_depth: 0.4632, loss_size: 0.4609, loss_rotsin: 0.1816, loss_centerness: 0.5703, loss_velo: 0.0539, loss_dir: 0.2888, loss_attr: 0.1404, loss: 2.8667, grad_norm: 4.9500
2021-07-29 01:01:24,478 - mmdet - INFO - Epoch [9][1100/2217]	lr: 8.000e-04, eta: 4:45:24, time: 2.216, data_time: 0.062, memory: 28667, loss_cls: 0.2024, loss_offset: 0.4993, loss_depth: 0.4515, loss_size: 0.4617, loss_rotsin: 0.1818, loss_centerness: 0.5700, loss_velo: 0.0552, loss_dir: 0.2865, loss_attr: 0.1453, loss: 2.8537, grad_norm: 4.8846
2021-07-29 01:03:13,780 - mmdet - INFO - Epoch [9][1150/2217]	lr: 8.000e-04, eta: 4:43:34, time: 2.186, data_time: 0.059, memory: 28667, loss_cls: 0.2015, loss_offset: 0.5000, loss_depth: 0.4550, loss_size: 0.4619, loss_rotsin: 0.1778, loss_centerness: 0.5696, loss_velo: 0.0549, loss_dir: 0.2859, loss_attr: 0.1346, loss: 2.8412, grad_norm: 5.3256
2021-07-29 01:05:04,333 - mmdet - INFO - Epoch [9][1200/2217]	lr: 8.000e-04, eta: 4:41:44, time: 2.211, data_time: 0.057, memory: 28667, loss_cls: 0.2028, loss_offset: 0.5032, loss_depth: 0.4608, loss_size: 0.4576, loss_rotsin: 0.1836, loss_centerness: 0.5701, loss_velo: 0.0528, loss_dir: 0.2871, loss_attr: 0.1347, loss: 2.8528, grad_norm: 5.1420
2021-07-29 01:06:52,581 - mmdet - INFO - Epoch [9][1250/2217]	lr: 8.000e-04, eta: 4:39:53, time: 2.165, data_time: 0.055, memory: 28667, loss_cls: 0.2000, loss_offset: 0.4955, loss_depth: 0.4466, loss_size: 0.4575, loss_rotsin: 0.1775, loss_centerness: 0.5699, loss_velo: 0.0537, loss_dir: 0.2838, loss_attr: 0.1338, loss: 2.8184, grad_norm: 5.1119
2021-07-29 01:08:44,811 - mmdet - INFO - Epoch [9][1300/2217]	lr: 8.000e-04, eta: 4:38:03, time: 2.245, data_time: 0.057, memory: 28667, loss_cls: 0.2020, loss_offset: 0.4970, loss_depth: 0.4552, loss_size: 0.4654, loss_rotsin: 0.1780, loss_centerness: 0.5697, loss_velo: 0.0563, loss_dir: 0.2857, loss_attr: 0.1397, loss: 2.8491, grad_norm: 4.9703
2021-07-29 01:10:33,874 - mmdet - INFO - Epoch [9][1350/2217]	lr: 8.000e-04, eta: 4:36:13, time: 2.181, data_time: 0.056, memory: 28667, loss_cls: 0.2002, loss_offset: 0.4920, loss_depth: 0.4583, loss_size: 0.4598, loss_rotsin: 0.1806, loss_centerness: 0.5697, loss_velo: 0.0540, loss_dir: 0.2821, loss_attr: 0.1399, loss: 2.8365, grad_norm: 5.0585
2021-07-29 01:12:24,490 - mmdet - INFO - Epoch [9][1400/2217]	lr: 8.000e-04, eta: 4:34:23, time: 2.212, data_time: 0.060, memory: 28667, loss_cls: 0.2006, loss_offset: 0.4995, loss_depth: 0.4488, loss_size: 0.4587, loss_rotsin: 0.1757, loss_centerness: 0.5700, loss_velo: 0.0529, loss_dir: 0.2855, loss_attr: 0.1318, loss: 2.8235, grad_norm: 5.0060
2021-07-29 01:14:14,129 - mmdet - INFO - Epoch [9][1450/2217]	lr: 8.000e-04, eta: 4:32:32, time: 2.193, data_time: 0.056, memory: 28667, loss_cls: 0.2040, loss_offset: 0.4956, loss_depth: 0.4472, loss_size: 0.4617, loss_rotsin: 0.1769, loss_centerness: 0.5698, loss_velo: 0.0555, loss_dir: 0.2850, loss_attr: 0.1464, loss: 2.8420, grad_norm: 5.2312
2021-07-29 01:16:03,110 - mmdet - INFO - Epoch [9][1500/2217]	lr: 8.000e-04, eta: 4:30:41, time: 2.180, data_time: 0.058, memory: 28667, loss_cls: 0.2022, loss_offset: 0.4978, loss_depth: 0.4483, loss_size: 0.4576, loss_rotsin: 0.1788, loss_centerness: 0.5698, loss_velo: 0.0543, loss_dir: 0.2804, loss_attr: 0.1389, loss: 2.8281, grad_norm: 5.1447
2021-07-29 01:17:53,684 - mmdet - INFO - Epoch [9][1550/2217]	lr: 8.000e-04, eta: 4:28:51, time: 2.212, data_time: 0.055, memory: 28667, loss_cls: 0.2009, loss_offset: 0.5024, loss_depth: 0.4553, loss_size: 0.4524, loss_rotsin: 0.1773, loss_centerness: 0.5704, loss_velo: 0.0549, loss_dir: 0.2898, loss_attr: 0.1353, loss: 2.8386, grad_norm: 5.0761
2021-07-29 01:19:44,900 - mmdet - INFO - Epoch [9][1600/2217]	lr: 8.000e-04, eta: 4:27:01, time: 2.224, data_time: 0.060, memory: 28667, loss_cls: 0.2004, loss_offset: 0.4919, loss_depth: 0.4472, loss_size: 0.4563, loss_rotsin: 0.1797, loss_centerness: 0.5696, loss_velo: 0.0556, loss_dir: 0.2845, loss_attr: 0.1357, loss: 2.8208, grad_norm: 5.4461
2021-07-29 01:21:34,872 - mmdet - INFO - Epoch [9][1650/2217]	lr: 8.000e-04, eta: 4:25:11, time: 2.199, data_time: 0.059, memory: 28667, loss_cls: 0.2013, loss_offset: 0.4942, loss_depth: 0.4456, loss_size: 0.4653, loss_rotsin: 0.1762, loss_centerness: 0.5697, loss_velo: 0.0522, loss_dir: 0.2814, loss_attr: 0.1284, loss: 2.8143, grad_norm: 5.1867
2021-07-29 01:23:25,485 - mmdet - INFO - Epoch [9][1700/2217]	lr: 8.000e-04, eta: 4:23:21, time: 2.212, data_time: 0.058, memory: 28667, loss_cls: 0.2030, loss_offset: 0.4982, loss_depth: 0.4445, loss_size: 0.4642, loss_rotsin: 0.1814, loss_centerness: 0.5697, loss_velo: 0.0505, loss_dir: 0.2852, loss_attr: 0.1308, loss: 2.8274, grad_norm: 5.0861
2021-07-29 01:25:15,072 - mmdet - INFO - Epoch [9][1750/2217]	lr: 8.000e-04, eta: 4:21:31, time: 2.192, data_time: 0.056, memory: 28667, loss_cls: 0.2030, loss_offset: 0.4991, loss_depth: 0.4501, loss_size: 0.4421, loss_rotsin: 0.1805, loss_centerness: 0.5697, loss_velo: 0.0537, loss_dir: 0.2860, loss_attr: 0.1384, loss: 2.8226, grad_norm: 5.2708
2021-07-29 01:27:05,716 - mmdet - INFO - Epoch [9][1800/2217]	lr: 8.000e-04, eta: 4:19:41, time: 2.213, data_time: 0.057, memory: 28667, loss_cls: 0.2037, loss_offset: 0.4891, loss_depth: 0.4457, loss_size: 0.4749, loss_rotsin: 0.1769, loss_centerness: 0.5695, loss_velo: 0.0535, loss_dir: 0.2789, loss_attr: 0.1397, loss: 2.8319, grad_norm: 5.3096
2021-07-29 01:28:56,140 - mmdet - INFO - Epoch [9][1850/2217]	lr: 8.000e-04, eta: 4:17:50, time: 2.208, data_time: 0.065, memory: 28667, loss_cls: 0.2005, loss_offset: 0.4924, loss_depth: 0.4397, loss_size: 0.4591, loss_rotsin: 0.1747, loss_centerness: 0.5694, loss_velo: 0.0545, loss_dir: 0.2781, loss_attr: 0.1323, loss: 2.8007, grad_norm: 5.0582
2021-07-29 01:30:46,799 - mmdet - INFO - Epoch [9][1900/2217]	lr: 8.000e-04, eta: 4:16:00, time: 2.213, data_time: 0.060, memory: 28667, loss_cls: 0.2012, loss_offset: 0.4963, loss_depth: 0.4503, loss_size: 0.4612, loss_rotsin: 0.1791, loss_centerness: 0.5699, loss_velo: 0.0533, loss_dir: 0.2798, loss_attr: 0.1364, loss: 2.8276, grad_norm: 5.2152
2021-07-29 01:32:38,069 - mmdet - INFO - Epoch [9][1950/2217]	lr: 8.000e-04, eta: 4:14:10, time: 2.226, data_time: 0.054, memory: 28667, loss_cls: 0.2009, loss_offset: 0.4907, loss_depth: 0.4396, loss_size: 0.4600, loss_rotsin: 0.1797, loss_centerness: 0.5696, loss_velo: 0.0507, loss_dir: 0.2780, loss_attr: 0.1337, loss: 2.8030, grad_norm: 5.2396
2021-07-29 01:34:28,250 - mmdet - INFO - Epoch [9][2000/2217]	lr: 8.000e-04, eta: 4:12:20, time: 2.204, data_time: 0.056, memory: 28667, loss_cls: 0.1999, loss_offset: 0.4944, loss_depth: 0.4397, loss_size: 0.4476, loss_rotsin: 0.1772, loss_centerness: 0.5694, loss_velo: 0.0547, loss_dir: 0.2811, loss_attr: 0.1310, loss: 2.7950, grad_norm: 5.1265
2021-07-29 01:36:19,287 - mmdet - INFO - Epoch [9][2050/2217]	lr: 8.000e-04, eta: 4:10:30, time: 2.221, data_time: 0.056, memory: 28667, loss_cls: 0.2018, loss_offset: 0.4972, loss_depth: 0.4510, loss_size: 0.4498, loss_rotsin: 0.1730, loss_centerness: 0.5697, loss_velo: 0.0548, loss_dir: 0.2795, loss_attr: 0.1294, loss: 2.8061, grad_norm: 5.1130
2021-07-29 01:38:07,959 - mmdet - INFO - Epoch [9][2100/2217]	lr: 8.000e-04, eta: 4:08:40, time: 2.173, data_time: 0.057, memory: 28667, loss_cls: 0.2018, loss_offset: 0.4954, loss_depth: 0.4489, loss_size: 0.4643, loss_rotsin: 0.1757, loss_centerness: 0.5697, loss_velo: 0.0529, loss_dir: 0.2779, loss_attr: 0.1319, loss: 2.8186, grad_norm: 5.0557
2021-07-29 01:39:59,767 - mmdet - INFO - Epoch [9][2150/2217]	lr: 8.000e-04, eta: 4:06:50, time: 2.236, data_time: 0.059, memory: 28667, loss_cls: 0.1994, loss_offset: 0.4880, loss_depth: 0.4386, loss_size: 0.4476, loss_rotsin: 0.1792, loss_centerness: 0.5695, loss_velo: 0.0540, loss_dir: 0.2760, loss_attr: 0.1394, loss: 2.7918, grad_norm: 5.1001
2021-07-29 01:41:50,771 - mmdet - INFO - Epoch [9][2200/2217]	lr: 8.000e-04, eta: 4:05:00, time: 2.220, data_time: 0.057, memory: 28667, loss_cls: 0.2004, loss_offset: 0.4971, loss_depth: 0.4475, loss_size: 0.4534, loss_rotsin: 0.1756, loss_centerness: 0.5700, loss_velo: 0.0521, loss_dir: 0.2883, loss_attr: 0.1366, loss: 2.8210, grad_norm: 5.1095
2021-07-29 01:42:27,204 - mmdet - INFO - Saving checkpoint at 9 epochs
2021-07-29 01:44:27,663 - mmdet - INFO - Epoch [10][50/2217]	lr: 8.000e-04, eta: 4:02:23, time: 2.380, data_time: 0.217, memory: 28667, loss_cls: 0.1999, loss_offset: 0.4922, loss_depth: 0.4344, loss_size: 0.4527, loss_rotsin: 0.1720, loss_centerness: 0.5697, loss_velo: 0.0531, loss_dir: 0.2729, loss_attr: 0.1240, loss: 2.7711, grad_norm: 4.9113
2021-07-29 01:46:19,397 - mmdet - INFO - Epoch [10][100/2217]	lr: 8.000e-04, eta: 4:00:33, time: 2.234, data_time: 0.058, memory: 28667, loss_cls: 0.1986, loss_offset: 0.4881, loss_depth: 0.4223, loss_size: 0.4445, loss_rotsin: 0.1775, loss_centerness: 0.5694, loss_velo: 0.0520, loss_dir: 0.2737, loss_attr: 0.1239, loss: 2.7499, grad_norm: 4.8680
2021-07-29 01:48:08,717 - mmdet - INFO - Epoch [10][150/2217]	lr: 8.000e-04, eta: 3:58:43, time: 2.186, data_time: 0.059, memory: 28667, loss_cls: 0.1997, loss_offset: 0.4911, loss_depth: 0.4266, loss_size: 0.4448, loss_rotsin: 0.1761, loss_centerness: 0.5697, loss_velo: 0.0547, loss_dir: 0.2794, loss_attr: 0.1190, loss: 2.7611, grad_norm: 4.8779
2021-07-29 01:49:59,013 - mmdet - INFO - Epoch [10][200/2217]	lr: 8.000e-04, eta: 3:56:52, time: 2.206, data_time: 0.057, memory: 28667, loss_cls: 0.2001, loss_offset: 0.4977, loss_depth: 0.4288, loss_size: 0.4476, loss_rotsin: 0.1771, loss_centerness: 0.5700, loss_velo: 0.0525, loss_dir: 0.2849, loss_attr: 0.1243, loss: 2.7830, grad_norm: 4.9853
2021-07-29 01:51:50,165 - mmdet - INFO - Epoch [10][250/2217]	lr: 8.000e-04, eta: 3:55:03, time: 2.223, data_time: 0.058, memory: 28667, loss_cls: 0.2028, loss_offset: 0.4954, loss_depth: 0.4418, loss_size: 0.4524, loss_rotsin: 0.1772, loss_centerness: 0.5696, loss_velo: 0.0540, loss_dir: 0.2733, loss_attr: 0.1252, loss: 2.7917, grad_norm: 5.2411
2021-07-29 01:53:41,690 - mmdet - INFO - Epoch [10][300/2217]	lr: 8.000e-04, eta: 3:53:13, time: 2.230, data_time: 0.061, memory: 28667, loss_cls: 0.1993, loss_offset: 0.4901, loss_depth: 0.4243, loss_size: 0.4494, loss_rotsin: 0.1810, loss_centerness: 0.5693, loss_velo: 0.0506, loss_dir: 0.2772, loss_attr: 0.1207, loss: 2.7620, grad_norm: 4.8970
2021-07-29 01:55:34,336 - mmdet - INFO - Epoch [10][350/2217]	lr: 8.000e-04, eta: 3:51:24, time: 2.253, data_time: 0.061, memory: 28667, loss_cls: 0.1983, loss_offset: 0.4930, loss_depth: 0.4316, loss_size: 0.4520, loss_rotsin: 0.1775, loss_centerness: 0.5696, loss_velo: 0.0535, loss_dir: 0.2731, loss_attr: 0.1217, loss: 2.7704, grad_norm: 4.9750
2021-07-29 01:57:26,810 - mmdet - INFO - Epoch [10][400/2217]	lr: 8.000e-04, eta: 3:49:34, time: 2.249, data_time: 0.062, memory: 28667, loss_cls: 0.2001, loss_offset: 0.4882, loss_depth: 0.4281, loss_size: 0.4394, loss_rotsin: 0.1750, loss_centerness: 0.5694, loss_velo: 0.0548, loss_dir: 0.2692, loss_attr: 0.1264, loss: 2.7507, grad_norm: 4.9859
2021-07-29 01:59:18,203 - mmdet - INFO - Epoch [10][450/2217]	lr: 8.000e-04, eta: 3:47:44, time: 2.228, data_time: 0.057, memory: 28667, loss_cls: 0.1986, loss_offset: 0.4930, loss_depth: 0.4385, loss_size: 0.4450, loss_rotsin: 0.1791, loss_centerness: 0.5697, loss_velo: 0.0530, loss_dir: 0.2805, loss_attr: 0.1232, loss: 2.7808, grad_norm: 5.0895
2021-07-29 02:01:07,497 - mmdet - INFO - Epoch [10][500/2217]	lr: 8.000e-04, eta: 3:45:54, time: 2.186, data_time: 0.063, memory: 28667, loss_cls: 0.1978, loss_offset: 0.4894, loss_depth: 0.4339, loss_size: 0.4423, loss_rotsin: 0.1692, loss_centerness: 0.5697, loss_velo: 0.0530, loss_dir: 0.2677, loss_attr: 0.1242, loss: 2.7470, grad_norm: 5.2079
2021-07-29 02:02:58,225 - mmdet - INFO - Epoch [10][550/2217]	lr: 8.000e-04, eta: 3:44:04, time: 2.215, data_time: 0.056, memory: 28667, loss_cls: 0.1995, loss_offset: 0.4917, loss_depth: 0.4326, loss_size: 0.4525, loss_rotsin: 0.1744, loss_centerness: 0.5698, loss_velo: 0.0509, loss_dir: 0.2733, loss_attr: 0.1237, loss: 2.7686, grad_norm: 5.2536
2021-07-29 02:04:49,107 - mmdet - INFO - Epoch [10][600/2217]	lr: 8.000e-04, eta: 3:42:14, time: 2.217, data_time: 0.057, memory: 28667, loss_cls: 0.2011, loss_offset: 0.4942, loss_depth: 0.4255, loss_size: 0.4474, loss_rotsin: 0.1759, loss_centerness: 0.5696, loss_velo: 0.0544, loss_dir: 0.2717, loss_attr: 0.1197, loss: 2.7597, grad_norm: 5.0584
2021-07-29 02:06:39,758 - mmdet - INFO - Epoch [10][650/2217]	lr: 8.000e-04, eta: 3:40:24, time: 2.213, data_time: 0.063, memory: 28667, loss_cls: 0.2002, loss_offset: 0.4908, loss_depth: 0.4364, loss_size: 0.4453, loss_rotsin: 0.1740, loss_centerness: 0.5695, loss_velo: 0.0537, loss_dir: 0.2678, loss_attr: 0.1296, loss: 2.7673, grad_norm: 5.3657
2021-07-29 02:08:32,704 - mmdet - INFO - Epoch [10][700/2217]	lr: 8.000e-04, eta: 3:38:34, time: 2.259, data_time: 0.056, memory: 28667, loss_cls: 0.1996, loss_offset: 0.4889, loss_depth: 0.4310, loss_size: 0.4500, loss_rotsin: 0.1742, loss_centerness: 0.5695, loss_velo: 0.0534, loss_dir: 0.2774, loss_attr: 0.1197, loss: 2.7639, grad_norm: 5.1218
2021-07-29 02:10:24,485 - mmdet - INFO - Epoch [10][750/2217]	lr: 8.000e-04, eta: 3:36:45, time: 2.236, data_time: 0.059, memory: 28667, loss_cls: 0.1966, loss_offset: 0.4901, loss_depth: 0.4142, loss_size: 0.4312, loss_rotsin: 0.1723, loss_centerness: 0.5696, loss_velo: 0.0519, loss_dir: 0.2684, loss_attr: 0.1177, loss: 2.7118, grad_norm: 4.8207
2021-07-29 02:12:17,156 - mmdet - INFO - Epoch [10][800/2217]	lr: 8.000e-04, eta: 3:34:55, time: 2.253, data_time: 0.064, memory: 28667, loss_cls: 0.1977, loss_offset: 0.4887, loss_depth: 0.4250, loss_size: 0.4388, loss_rotsin: 0.1738, loss_centerness: 0.5696, loss_velo: 0.0535, loss_dir: 0.2754, loss_attr: 0.1211, loss: 2.7437, grad_norm: 5.0065
2021-07-29 02:14:08,407 - mmdet - INFO - Epoch [10][850/2217]	lr: 8.000e-04, eta: 3:33:05, time: 2.225, data_time: 0.056, memory: 28667, loss_cls: 0.2000, loss_offset: 0.4881, loss_depth: 0.4331, loss_size: 0.4533, loss_rotsin: 0.1717, loss_centerness: 0.5691, loss_velo: 0.0550, loss_dir: 0.2710, loss_attr: 0.1229, loss: 2.7642, grad_norm: 5.3703
2021-07-29 02:15:59,916 - mmdet - INFO - Epoch [10][900/2217]	lr: 8.000e-04, eta: 3:31:15, time: 2.230, data_time: 0.056, memory: 28667, loss_cls: 0.1975, loss_offset: 0.4858, loss_depth: 0.4342, loss_size: 0.4443, loss_rotsin: 0.1709, loss_centerness: 0.5693, loss_velo: 0.0523, loss_dir: 0.2683, loss_attr: 0.1232, loss: 2.7458, grad_norm: 5.2248
2021-07-29 02:17:51,501 - mmdet - INFO - Epoch [10][950/2217]	lr: 8.000e-04, eta: 3:29:26, time: 2.232, data_time: 0.062, memory: 28667, loss_cls: 0.1974, loss_offset: 0.4811, loss_depth: 0.4243, loss_size: 0.4348, loss_rotsin: 0.1678, loss_centerness: 0.5690, loss_velo: 0.0531, loss_dir: 0.2597, loss_attr: 0.1229, loss: 2.7101, grad_norm: 5.0193
2021-07-29 02:19:41,723 - mmdet - INFO - Epoch [10][1000/2217]	lr: 8.000e-04, eta: 3:27:35, time: 2.204, data_time: 0.054, memory: 28667, loss_cls: 0.1992, loss_offset: 0.4887, loss_depth: 0.4318, loss_size: 0.4450, loss_rotsin: 0.1765, loss_centerness: 0.5695, loss_velo: 0.0539, loss_dir: 0.2677, loss_attr: 0.1252, loss: 2.7575, grad_norm: 5.2746
2021-07-29 02:21:31,854 - mmdet - INFO - Epoch [10][1050/2217]	lr: 8.000e-04, eta: 3:25:45, time: 2.203, data_time: 0.056, memory: 28667, loss_cls: 0.1965, loss_offset: 0.4837, loss_depth: 0.4189, loss_size: 0.4461, loss_rotsin: 0.1714, loss_centerness: 0.5693, loss_velo: 0.0514, loss_dir: 0.2669, loss_attr: 0.1238, loss: 2.7280, grad_norm: 5.2012
2021-07-29 02:23:20,830 - mmdet - INFO - Epoch [10][1100/2217]	lr: 8.000e-04, eta: 3:23:55, time: 2.180, data_time: 0.056, memory: 28667, loss_cls: 0.1976, loss_offset: 0.4875, loss_depth: 0.4349, loss_size: 0.4607, loss_rotsin: 0.1737, loss_centerness: 0.5695, loss_velo: 0.0546, loss_dir: 0.2775, loss_attr: 0.1197, loss: 2.7757, grad_norm: 5.2258
2021-07-29 02:25:10,453 - mmdet - INFO - Epoch [10][1150/2217]	lr: 8.000e-04, eta: 3:22:04, time: 2.192, data_time: 0.061, memory: 28667, loss_cls: 0.2016, loss_offset: 0.4941, loss_depth: 0.4447, loss_size: 0.4522, loss_rotsin: 0.1701, loss_centerness: 0.5697, loss_velo: 0.0552, loss_dir: 0.2724, loss_attr: 0.1234, loss: 2.7836, grad_norm: 5.1814
2021-07-29 02:27:04,023 - mmdet - INFO - Epoch [10][1200/2217]	lr: 8.000e-04, eta: 3:20:15, time: 2.271, data_time: 0.057, memory: 28667, loss_cls: 0.2005, loss_offset: 0.4904, loss_depth: 0.4310, loss_size: 0.4590, loss_rotsin: 0.1746, loss_centerness: 0.5692, loss_velo: 0.0532, loss_dir: 0.2763, loss_attr: 0.1233, loss: 2.7776, grad_norm: 4.9866
2021-07-29 02:28:53,585 - mmdet - INFO - Epoch [10][1250/2217]	lr: 8.000e-04, eta: 3:18:24, time: 2.191, data_time: 0.061, memory: 28667, loss_cls: 0.1990, loss_offset: 0.4885, loss_depth: 0.4337, loss_size: 0.4519, loss_rotsin: 0.1741, loss_centerness: 0.5692, loss_velo: 0.0539, loss_dir: 0.2740, loss_attr: 0.1278, loss: 2.7721, grad_norm: 5.2063
2021-07-29 02:30:43,426 - mmdet - INFO - Epoch [10][1300/2217]	lr: 8.000e-04, eta: 3:16:34, time: 2.197, data_time: 0.060, memory: 28667, loss_cls: 0.2005, loss_offset: 0.4948, loss_depth: 0.4382, loss_size: 0.4364, loss_rotsin: 0.1736, loss_centerness: 0.5696, loss_velo: 0.0532, loss_dir: 0.2688, loss_attr: 0.1179, loss: 2.7530, grad_norm: 5.4573
2021-07-29 02:32:34,705 - mmdet - INFO - Epoch [10][1350/2217]	lr: 8.000e-04, eta: 3:14:44, time: 2.226, data_time: 0.061, memory: 28667, loss_cls: 0.1990, loss_offset: 0.4843, loss_depth: 0.4211, loss_size: 0.4426, loss_rotsin: 0.1733, loss_centerness: 0.5692, loss_velo: 0.0527, loss_dir: 0.2691, loss_attr: 0.1245, loss: 2.7357, grad_norm: 5.0730
2021-07-29 02:34:25,985 - mmdet - INFO - Epoch [10][1400/2217]	lr: 8.000e-04, eta: 3:12:54, time: 2.226, data_time: 0.053, memory: 28667, loss_cls: 0.1988, loss_offset: 0.4887, loss_depth: 0.4199, loss_size: 0.4488, loss_rotsin: 0.1693, loss_centerness: 0.5691, loss_velo: 0.0550, loss_dir: 0.2696, loss_attr: 0.1230, loss: 2.7423, grad_norm: 5.2627
2021-07-29 02:36:17,484 - mmdet - INFO - Epoch [10][1450/2217]	lr: 8.000e-04, eta: 3:11:04, time: 2.230, data_time: 0.059, memory: 28667, loss_cls: 0.1985, loss_offset: 0.4866, loss_depth: 0.4265, loss_size: 0.4386, loss_rotsin: 0.1735, loss_centerness: 0.5694, loss_velo: 0.0523, loss_dir: 0.2724, loss_attr: 0.1162, loss: 2.7339, grad_norm: 5.1689
2021-07-29 02:38:06,992 - mmdet - INFO - Epoch [10][1500/2217]	lr: 8.000e-04, eta: 3:09:14, time: 2.190, data_time: 0.053, memory: 28667, loss_cls: 0.1997, loss_offset: 0.4945, loss_depth: 0.4341, loss_size: 0.4516, loss_rotsin: 0.1731, loss_centerness: 0.5698, loss_velo: 0.0514, loss_dir: 0.2672, loss_attr: 0.1268, loss: 2.7682, grad_norm: 5.1140
2021-07-29 02:39:58,585 - mmdet - INFO - Epoch [10][1550/2217]	lr: 8.000e-04, eta: 3:07:24, time: 2.232, data_time: 0.059, memory: 28667, loss_cls: 0.1976, loss_offset: 0.4909, loss_depth: 0.4285, loss_size: 0.4395, loss_rotsin: 0.1755, loss_centerness: 0.5699, loss_velo: 0.0543, loss_dir: 0.2732, loss_attr: 0.1213, loss: 2.7507, grad_norm: 5.1621
2021-07-29 02:41:51,205 - mmdet - INFO - Epoch [10][1600/2217]	lr: 8.000e-04, eta: 3:05:34, time: 2.252, data_time: 0.053, memory: 28667, loss_cls: 0.1999, loss_offset: 0.4893, loss_depth: 0.4255, loss_size: 0.4495, loss_rotsin: 0.1731, loss_centerness: 0.5690, loss_velo: 0.0525, loss_dir: 0.2701, loss_attr: 0.1215, loss: 2.7505, grad_norm: 5.0645
2021-07-29 02:43:40,804 - mmdet - INFO - Epoch [10][1650/2217]	lr: 8.000e-04, eta: 3:03:44, time: 2.192, data_time: 0.056, memory: 28667, loss_cls: 0.1968, loss_offset: 0.4801, loss_depth: 0.4243, loss_size: 0.4359, loss_rotsin: 0.1691, loss_centerness: 0.5687, loss_velo: 0.0555, loss_dir: 0.2655, loss_attr: 0.1201, loss: 2.7159, grad_norm: 5.1292
2021-07-29 02:45:29,691 - mmdet - INFO - Epoch [10][1700/2217]	lr: 8.000e-04, eta: 3:01:54, time: 2.178, data_time: 0.058, memory: 28667, loss_cls: 0.1963, loss_offset: 0.4828, loss_depth: 0.4223, loss_size: 0.4341, loss_rotsin: 0.1707, loss_centerness: 0.5692, loss_velo: 0.0526, loss_dir: 0.2663, loss_attr: 0.1165, loss: 2.7107, grad_norm: 4.9461
2021-07-29 02:47:19,965 - mmdet - INFO - Epoch [10][1750/2217]	lr: 8.000e-04, eta: 3:00:03, time: 2.205, data_time: 0.061, memory: 28667, loss_cls: 0.1990, loss_offset: 0.4881, loss_depth: 0.4301, loss_size: 0.4462, loss_rotsin: 0.1723, loss_centerness: 0.5693, loss_velo: 0.0548, loss_dir: 0.2647, loss_attr: 0.1169, loss: 2.7415, grad_norm: 5.5240
2021-07-29 02:49:12,750 - mmdet - INFO - Epoch [10][1800/2217]	lr: 8.000e-04, eta: 2:58:14, time: 2.256, data_time: 0.058, memory: 28667, loss_cls: 0.1981, loss_offset: 0.4927, loss_depth: 0.4267, loss_size: 0.4380, loss_rotsin: 0.1721, loss_centerness: 0.5694, loss_velo: 0.0541, loss_dir: 0.2671, loss_attr: 0.1230, loss: 2.7412, grad_norm: 5.1610
2021-07-29 02:51:02,259 - mmdet - INFO - Epoch [10][1850/2217]	lr: 8.000e-04, eta: 2:56:23, time: 2.190, data_time: 0.059, memory: 28667, loss_cls: 0.1981, loss_offset: 0.4869, loss_depth: 0.4211, loss_size: 0.4420, loss_rotsin: 0.1706, loss_centerness: 0.5694, loss_velo: 0.0523, loss_dir: 0.2707, loss_attr: 0.1243, loss: 2.7354, grad_norm: 5.1321
2021-07-29 02:52:52,654 - mmdet - INFO - Epoch [10][1900/2217]	lr: 8.000e-04, eta: 2:54:33, time: 2.208, data_time: 0.060, memory: 28667, loss_cls: 0.1971, loss_offset: 0.4884, loss_depth: 0.4243, loss_size: 0.4402, loss_rotsin: 0.1702, loss_centerness: 0.5695, loss_velo: 0.0535, loss_dir: 0.2680, loss_attr: 0.1221, loss: 2.7335, grad_norm: 5.2185
2021-07-29 02:54:43,046 - mmdet - INFO - Epoch [10][1950/2217]	lr: 8.000e-04, eta: 2:52:43, time: 2.208, data_time: 0.061, memory: 28667, loss_cls: 0.1969, loss_offset: 0.4821, loss_depth: 0.4232, loss_size: 0.4454, loss_rotsin: 0.1710, loss_centerness: 0.5689, loss_velo: 0.0523, loss_dir: 0.2704, loss_attr: 0.1187, loss: 2.7288, grad_norm: 5.1181
2021-07-29 02:56:35,096 - mmdet - INFO - Epoch [10][2000/2217]	lr: 8.000e-04, eta: 2:50:53, time: 2.241, data_time: 0.059, memory: 28667, loss_cls: 0.1983, loss_offset: 0.4855, loss_depth: 0.4386, loss_size: 0.4444, loss_rotsin: 0.1727, loss_centerness: 0.5692, loss_velo: 0.0523, loss_dir: 0.2735, loss_attr: 0.1229, loss: 2.7575, grad_norm: 5.4936
2021-07-29 02:58:25,468 - mmdet - INFO - Epoch [10][2050/2217]	lr: 8.000e-04, eta: 2:49:03, time: 2.207, data_time: 0.061, memory: 28667, loss_cls: 0.1998, loss_offset: 0.4903, loss_depth: 0.4305, loss_size: 0.4574, loss_rotsin: 0.1753, loss_centerness: 0.5694, loss_velo: 0.0531, loss_dir: 0.2713, loss_attr: 0.1185, loss: 2.7656, grad_norm: 5.2954
2021-07-29 03:00:17,600 - mmdet - INFO - Epoch [10][2100/2217]	lr: 8.000e-04, eta: 2:47:13, time: 2.243, data_time: 0.055, memory: 28667, loss_cls: 0.1945, loss_offset: 0.4815, loss_depth: 0.4161, loss_size: 0.4316, loss_rotsin: 0.1704, loss_centerness: 0.5691, loss_velo: 0.0520, loss_dir: 0.2680, loss_attr: 0.1258, loss: 2.7089, grad_norm: 5.1555
2021-07-29 03:02:09,383 - mmdet - INFO - Epoch [10][2150/2217]	lr: 8.000e-04, eta: 2:45:23, time: 2.236, data_time: 0.058, memory: 28667, loss_cls: 0.1967, loss_offset: 0.4785, loss_depth: 0.4164, loss_size: 0.4315, loss_rotsin: 0.1742, loss_centerness: 0.5687, loss_velo: 0.0545, loss_dir: 0.2701, loss_attr: 0.1241, loss: 2.7148, grad_norm: 5.1977
2021-07-29 03:04:01,780 - mmdet - INFO - Epoch [10][2200/2217]	lr: 8.000e-04, eta: 2:43:33, time: 2.248, data_time: 0.056, memory: 28667, loss_cls: 0.1975, loss_offset: 0.4904, loss_depth: 0.4242, loss_size: 0.4366, loss_rotsin: 0.1746, loss_centerness: 0.5696, loss_velo: 0.0513, loss_dir: 0.2757, loss_attr: 0.1289, loss: 2.7488, grad_norm: 5.3054
2021-07-29 03:46:31,977 - mmdet - INFO - Saving checkpoint at 10 epochs
2021-07-29 03:46:33,401 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-07-29 03:46:33,401 - mmdet - INFO - Epoch(val) [10][2217]	img_bbox_NuScenes/car_AP_dist_0.5: 0.0727, img_bbox_NuScenes/car_AP_dist_1.0: 0.3034, img_bbox_NuScenes/car_AP_dist_2.0: 0.5998, img_bbox_NuScenes/car_AP_dist_4.0: 0.7811, img_bbox_NuScenes/car_trans_err: 0.6760, img_bbox_NuScenes/car_scale_err: 0.1510, img_bbox_NuScenes/car_orient_err: 0.1414, img_bbox_NuScenes/car_vel_err: 2.0217, img_bbox_NuScenes/car_attr_err: 0.1384, img_bbox_NuScenes/truck_AP_dist_0.5: 0.0013, img_bbox_NuScenes/truck_AP_dist_1.0: 0.0690, img_bbox_NuScenes/truck_AP_dist_2.0: 0.2733, img_bbox_NuScenes/truck_AP_dist_4.0: 0.4677, img_bbox_NuScenes/truck_trans_err: 0.8868, img_bbox_NuScenes/truck_scale_err: 0.2091, img_bbox_NuScenes/truck_orient_err: 0.2043, img_bbox_NuScenes/truck_vel_err: 1.2963, img_bbox_NuScenes/truck_attr_err: 0.1889, img_bbox_NuScenes/trailer_AP_dist_0.5: 0.0000, img_bbox_NuScenes/trailer_AP_dist_1.0: 0.0000, img_bbox_NuScenes/trailer_AP_dist_2.0: 0.0423, img_bbox_NuScenes/trailer_AP_dist_4.0: 0.2218, img_bbox_NuScenes/trailer_trans_err: 1.1562, img_bbox_NuScenes/trailer_scale_err: 0.2330, img_bbox_NuScenes/trailer_orient_err: 0.8358, img_bbox_NuScenes/trailer_vel_err: 0.6441, img_bbox_NuScenes/trailer_attr_err: 0.0734, img_bbox_NuScenes/bus_AP_dist_0.5: 0.0037, img_bbox_NuScenes/bus_AP_dist_1.0: 0.0721, img_bbox_NuScenes/bus_AP_dist_2.0: 0.2965, img_bbox_NuScenes/bus_AP_dist_4.0: 0.6019, img_bbox_NuScenes/bus_trans_err: 0.9131, img_bbox_NuScenes/bus_scale_err: 0.1889, img_bbox_NuScenes/bus_orient_err: 0.2303, img_bbox_NuScenes/bus_vel_err: 3.0833, img_bbox_NuScenes/bus_attr_err: 0.4004, img_bbox_NuScenes/construction_vehicle_AP_dist_0.5: 0.0000, img_bbox_NuScenes/construction_vehicle_AP_dist_1.0: 0.0000, img_bbox_NuScenes/construction_vehicle_AP_dist_2.0: 0.0302, img_bbox_NuScenes/construction_vehicle_AP_dist_4.0: 0.1012, img_bbox_NuScenes/construction_vehicle_trans_err: 1.1101, img_bbox_NuScenes/construction_vehicle_scale_err: 0.4686, img_bbox_NuScenes/construction_vehicle_orient_err: 1.1409, img_bbox_NuScenes/construction_vehicle_vel_err: 0.1433, img_bbox_NuScenes/construction_vehicle_attr_err: 0.2707, img_bbox_NuScenes/bicycle_AP_dist_0.5: 0.0147, img_bbox_NuScenes/bicycle_AP_dist_1.0: 0.1077, img_bbox_NuScenes/bicycle_AP_dist_2.0: 0.2630, img_bbox_NuScenes/bicycle_AP_dist_4.0: 0.4210, img_bbox_NuScenes/bicycle_trans_err: 0.8119, img_bbox_NuScenes/bicycle_scale_err: 0.2699, img_bbox_NuScenes/bicycle_orient_err: 0.8911, img_bbox_NuScenes/bicycle_vel_err: 0.8736, img_bbox_NuScenes/bicycle_attr_err: 0.0141, img_bbox_NuScenes/motorcycle_AP_dist_0.5: 0.0289, img_bbox_NuScenes/motorcycle_AP_dist_1.0: 0.1380, img_bbox_NuScenes/motorcycle_AP_dist_2.0: 0.3369, img_bbox_NuScenes/motorcycle_AP_dist_4.0: 0.4700, img_bbox_NuScenes/motorcycle_trans_err: 0.7976, img_bbox_NuScenes/motorcycle_scale_err: 0.2637, img_bbox_NuScenes/motorcycle_orient_err: 0.7245, img_bbox_NuScenes/motorcycle_vel_err: 1.8823, img_bbox_NuScenes/motorcycle_attr_err: 0.1085, img_bbox_NuScenes/pedestrian_AP_dist_0.5: 0.0560, img_bbox_NuScenes/pedestrian_AP_dist_1.0: 0.2433, img_bbox_NuScenes/pedestrian_AP_dist_2.0: 0.4803, img_bbox_NuScenes/pedestrian_AP_dist_4.0: 0.6610, img_bbox_NuScenes/pedestrian_trans_err: 0.7192, img_bbox_NuScenes/pedestrian_scale_err: 0.2893, img_bbox_NuScenes/pedestrian_orient_err: 0.7897, img_bbox_NuScenes/pedestrian_vel_err: 0.9041, img_bbox_NuScenes/pedestrian_attr_err: 0.1594, img_bbox_NuScenes/traffic_cone_AP_dist_0.5: 0.1855, img_bbox_NuScenes/traffic_cone_AP_dist_1.0: 0.4444, img_bbox_NuScenes/traffic_cone_AP_dist_2.0: 0.6370, img_bbox_NuScenes/traffic_cone_AP_dist_4.0: 0.7286, img_bbox_NuScenes/traffic_cone_trans_err: 0.5727, img_bbox_NuScenes/traffic_cone_scale_err: 0.3159, img_bbox_NuScenes/traffic_cone_orient_err: nan, img_bbox_NuScenes/traffic_cone_vel_err: nan, img_bbox_NuScenes/traffic_cone_attr_err: nan, img_bbox_NuScenes/barrier_AP_dist_0.5: 0.0935, img_bbox_NuScenes/barrier_AP_dist_1.0: 0.3557, img_bbox_NuScenes/barrier_AP_dist_2.0: 0.5817, img_bbox_NuScenes/barrier_AP_dist_4.0: 0.6710, img_bbox_NuScenes/barrier_trans_err: 0.6616, img_bbox_NuScenes/barrier_scale_err: 0.2750, img_bbox_NuScenes/barrier_orient_err: 0.1927, img_bbox_NuScenes/barrier_vel_err: nan, img_bbox_NuScenes/barrier_attr_err: nan, img_bbox_NuScenes/NDS: 0.3519, img_bbox_NuScenes/mAP: 0.2714
2021-07-29 03:48:30,603 - mmdet - INFO - Epoch [11][50/2217]	lr: 8.000e-04, eta: 2:41:00, time: 2.342, data_time: 0.196, memory: 28667, loss_cls: 0.1939, loss_offset: 0.4797, loss_depth: 0.4101, loss_size: 0.4270, loss_rotsin: 0.1657, loss_centerness: 0.5694, loss_velo: 0.0529, loss_dir: 0.2601, loss_attr: 0.1112, loss: 2.6700, grad_norm: 5.0551
2021-07-29 03:50:20,496 - mmdet - INFO - Epoch [11][100/2217]	lr: 8.000e-04, eta: 2:39:09, time: 2.198, data_time: 0.060, memory: 28667, loss_cls: 0.1962, loss_offset: 0.4773, loss_depth: 0.4110, loss_size: 0.4300, loss_rotsin: 0.1666, loss_centerness: 0.5687, loss_velo: 0.0540, loss_dir: 0.2603, loss_attr: 0.1172, loss: 2.6814, grad_norm: 5.1559
2021-07-29 03:52:11,378 - mmdet - INFO - Epoch [11][150/2217]	lr: 8.000e-04, eta: 2:37:19, time: 2.218, data_time: 0.064, memory: 28667, loss_cls: 0.1974, loss_offset: 0.4780, loss_depth: 0.4160, loss_size: 0.4384, loss_rotsin: 0.1667, loss_centerness: 0.5688, loss_velo: 0.0562, loss_dir: 0.2619, loss_attr: 0.1170, loss: 2.7004, grad_norm: 5.1979
2021-07-29 03:54:04,311 - mmdet - INFO - Epoch [11][200/2217]	lr: 8.000e-04, eta: 2:35:30, time: 2.259, data_time: 0.059, memory: 28667, loss_cls: 0.1978, loss_offset: 0.4867, loss_depth: 0.4051, loss_size: 0.4304, loss_rotsin: 0.1709, loss_centerness: 0.5694, loss_velo: 0.0522, loss_dir: 0.2614, loss_attr: 0.1173, loss: 2.6911, grad_norm: 5.1492
2021-07-29 03:55:53,274 - mmdet - INFO - Epoch [11][250/2217]	lr: 8.000e-04, eta: 2:33:39, time: 2.179, data_time: 0.063, memory: 28667, loss_cls: 0.1953, loss_offset: 0.4790, loss_depth: 0.4153, loss_size: 0.4293, loss_rotsin: 0.1656, loss_centerness: 0.5691, loss_velo: 0.0518, loss_dir: 0.2630, loss_attr: 0.1035, loss: 2.6718, grad_norm: 5.2773
2021-07-29 03:57:43,574 - mmdet - INFO - Epoch [11][300/2217]	lr: 8.000e-04, eta: 2:31:49, time: 2.206, data_time: 0.064, memory: 28667, loss_cls: 0.1951, loss_offset: 0.4847, loss_depth: 0.4169, loss_size: 0.4292, loss_rotsin: 0.1721, loss_centerness: 0.5694, loss_velo: 0.0542, loss_dir: 0.2544, loss_attr: 0.1105, loss: 2.6865, grad_norm: 5.1912
2021-07-29 03:59:34,662 - mmdet - INFO - Epoch [11][350/2217]	lr: 8.000e-04, eta: 2:29:59, time: 2.222, data_time: 0.065, memory: 28667, loss_cls: 0.1959, loss_offset: 0.4803, loss_depth: 0.4048, loss_size: 0.4278, loss_rotsin: 0.1693, loss_centerness: 0.5691, loss_velo: 0.0533, loss_dir: 0.2598, loss_attr: 0.1091, loss: 2.6693, grad_norm: 4.9753
2021-07-29 04:01:27,355 - mmdet - INFO - Epoch [11][400/2217]	lr: 8.000e-04, eta: 2:28:09, time: 2.254, data_time: 0.065, memory: 28667, loss_cls: 0.1963, loss_offset: 0.4842, loss_depth: 0.4087, loss_size: 0.4364, loss_rotsin: 0.1729, loss_centerness: 0.5691, loss_velo: 0.0509, loss_dir: 0.2663, loss_attr: 0.1087, loss: 2.6934, grad_norm: 5.2104
2021-07-29 04:03:19,849 - mmdet - INFO - Epoch [11][450/2217]	lr: 8.000e-04, eta: 2:26:20, time: 2.250, data_time: 0.068, memory: 28667, loss_cls: 0.1948, loss_offset: 0.4752, loss_depth: 0.4082, loss_size: 0.4272, loss_rotsin: 0.1665, loss_centerness: 0.5686, loss_velo: 0.0527, loss_dir: 0.2551, loss_attr: 0.1073, loss: 2.6556, grad_norm: 5.0327
2021-07-29 04:05:11,637 - mmdet - INFO - Epoch [11][500/2217]	lr: 8.000e-04, eta: 2:24:30, time: 2.236, data_time: 0.061, memory: 28667, loss_cls: 0.1946, loss_offset: 0.4795, loss_depth: 0.4055, loss_size: 0.4250, loss_rotsin: 0.1684, loss_centerness: 0.5689, loss_velo: 0.0536, loss_dir: 0.2630, loss_attr: 0.1086, loss: 2.6672, grad_norm: 5.0576
2021-07-29 04:07:04,539 - mmdet - INFO - Epoch [11][550/2217]	lr: 8.000e-04, eta: 2:22:40, time: 2.258, data_time: 0.062, memory: 28667, loss_cls: 0.1979, loss_offset: 0.4918, loss_depth: 0.4230, loss_size: 0.4314, loss_rotsin: 0.1778, loss_centerness: 0.5696, loss_velo: 0.0519, loss_dir: 0.2703, loss_attr: 0.1155, loss: 2.7292, grad_norm: 5.1580
2021-07-29 04:08:57,879 - mmdet - INFO - Epoch [11][600/2217]	lr: 8.000e-04, eta: 2:20:50, time: 2.267, data_time: 0.064, memory: 28667, loss_cls: 0.1983, loss_offset: 0.4874, loss_depth: 0.4218, loss_size: 0.4398, loss_rotsin: 0.1710, loss_centerness: 0.5693, loss_velo: 0.0518, loss_dir: 0.2634, loss_attr: 0.1141, loss: 2.7168, grad_norm: 5.3459
2021-07-29 04:10:50,618 - mmdet - INFO - Epoch [11][650/2217]	lr: 8.000e-04, eta: 2:19:00, time: 2.255, data_time: 0.068, memory: 28667, loss_cls: 0.1940, loss_offset: 0.4754, loss_depth: 0.4111, loss_size: 0.4296, loss_rotsin: 0.1706, loss_centerness: 0.5688, loss_velo: 0.0501, loss_dir: 0.2634, loss_attr: 0.1134, loss: 2.6765, grad_norm: 5.0943
2021-07-29 04:12:42,505 - mmdet - INFO - Epoch [11][700/2217]	lr: 8.000e-04, eta: 2:17:11, time: 2.238, data_time: 0.063, memory: 28667, loss_cls: 0.1976, loss_offset: 0.4954, loss_depth: 0.4087, loss_size: 0.4311, loss_rotsin: 0.1714, loss_centerness: 0.5698, loss_velo: 0.0525, loss_dir: 0.2668, loss_attr: 0.1120, loss: 2.7053, grad_norm: 5.0379
2021-07-29 04:14:35,757 - mmdet - INFO - Epoch [11][750/2217]	lr: 8.000e-04, eta: 2:15:21, time: 2.265, data_time: 0.064, memory: 28667, loss_cls: 0.1981, loss_offset: 0.4886, loss_depth: 0.4131, loss_size: 0.4421, loss_rotsin: 0.1700, loss_centerness: 0.5695, loss_velo: 0.0544, loss_dir: 0.2660, loss_attr: 0.1147, loss: 2.7164, grad_norm: 5.1934
2021-07-29 04:16:29,128 - mmdet - INFO - Epoch [11][800/2217]	lr: 8.000e-04, eta: 2:13:31, time: 2.267, data_time: 0.061, memory: 28667, loss_cls: 0.2001, loss_offset: 0.4896, loss_depth: 0.4211, loss_size: 0.4510, loss_rotsin: 0.1735, loss_centerness: 0.5694, loss_velo: 0.0535, loss_dir: 0.2610, loss_attr: 0.1125, loss: 2.7317, grad_norm: 5.1607
2021-07-29 04:18:20,011 - mmdet - INFO - Epoch [11][850/2217]	lr: 8.000e-04, eta: 2:11:41, time: 2.218, data_time: 0.067, memory: 28667, loss_cls: 0.1982, loss_offset: 0.4848, loss_depth: 0.4191, loss_size: 0.4366, loss_rotsin: 0.1693, loss_centerness: 0.5691, loss_velo: 0.0539, loss_dir: 0.2643, loss_attr: 0.1142, loss: 2.7095, grad_norm: 5.2737
2021-07-29 04:20:10,218 - mmdet - INFO - Epoch [11][900/2217]	lr: 8.000e-04, eta: 2:09:51, time: 2.204, data_time: 0.062, memory: 28667, loss_cls: 0.1973, loss_offset: 0.4834, loss_depth: 0.4127, loss_size: 0.4388, loss_rotsin: 0.1719, loss_centerness: 0.5694, loss_velo: 0.0527, loss_dir: 0.2612, loss_attr: 0.1134, loss: 2.7008, grad_norm: 5.5224
2021-07-29 04:22:03,236 - mmdet - INFO - Epoch [11][950/2217]	lr: 8.000e-04, eta: 2:08:01, time: 2.260, data_time: 0.059, memory: 28667, loss_cls: 0.1968, loss_offset: 0.4798, loss_depth: 0.4078, loss_size: 0.4320, loss_rotsin: 0.1648, loss_centerness: 0.5689, loss_velo: 0.0540, loss_dir: 0.2591, loss_attr: 0.1088, loss: 2.6720, grad_norm: 5.1553
2021-07-29 04:23:55,231 - mmdet - INFO - Epoch [11][1000/2217]	lr: 8.000e-04, eta: 2:06:11, time: 2.240, data_time: 0.060, memory: 28667, loss_cls: 0.1976, loss_offset: 0.4834, loss_depth: 0.4164, loss_size: 0.4520, loss_rotsin: 0.1715, loss_centerness: 0.5691, loss_velo: 0.0534, loss_dir: 0.2613, loss_attr: 0.1147, loss: 2.7193, grad_norm: 5.1858
2021-07-29 04:25:48,236 - mmdet - INFO - Epoch [11][1050/2217]	lr: 8.000e-04, eta: 2:04:21, time: 2.260, data_time: 0.066, memory: 28667, loss_cls: 0.1986, loss_offset: 0.4921, loss_depth: 0.4242, loss_size: 0.4502, loss_rotsin: 0.1721, loss_centerness: 0.5700, loss_velo: 0.0531, loss_dir: 0.2626, loss_attr: 0.1178, loss: 2.7407, grad_norm: 5.3133
2021-07-29 04:27:39,386 - mmdet - INFO - Epoch [11][1100/2217]	lr: 8.000e-04, eta: 2:02:31, time: 2.223, data_time: 0.065, memory: 28667, loss_cls: 0.1931, loss_offset: 0.4715, loss_depth: 0.4091, loss_size: 0.4267, loss_rotsin: 0.1611, loss_centerness: 0.5685, loss_velo: 0.0542, loss_dir: 0.2511, loss_attr: 0.1047, loss: 2.6399, grad_norm: 5.2320
2021-07-29 04:29:32,603 - mmdet - INFO - Epoch [11][1150/2217]	lr: 8.000e-04, eta: 2:00:41, time: 2.264, data_time: 0.069, memory: 28667, loss_cls: 0.1955, loss_offset: 0.4873, loss_depth: 0.4240, loss_size: 0.4360, loss_rotsin: 0.1717, loss_centerness: 0.5690, loss_velo: 0.0526, loss_dir: 0.2649, loss_attr: 0.1150, loss: 2.7160, grad_norm: 5.2453
2021-07-29 04:31:24,218 - mmdet - INFO - Epoch [11][1200/2217]	lr: 8.000e-04, eta: 1:58:51, time: 2.232, data_time: 0.068, memory: 28667, loss_cls: 0.1963, loss_offset: 0.4868, loss_depth: 0.4221, loss_size: 0.4443, loss_rotsin: 0.1720, loss_centerness: 0.5696, loss_velo: 0.0514, loss_dir: 0.2608, loss_attr: 0.1074, loss: 2.7107, grad_norm: 5.3549
2021-07-29 04:33:17,226 - mmdet - INFO - Epoch [11][1250/2217]	lr: 8.000e-04, eta: 1:57:01, time: 2.260, data_time: 0.069, memory: 28667, loss_cls: 0.1956, loss_offset: 0.4818, loss_depth: 0.4172, loss_size: 0.4389, loss_rotsin: 0.1697, loss_centerness: 0.5691, loss_velo: 0.0529, loss_dir: 0.2633, loss_attr: 0.1132, loss: 2.7016, grad_norm: 5.3774
2021-07-29 04:35:09,009 - mmdet - INFO - Epoch [11][1300/2217]	lr: 8.000e-04, eta: 1:55:11, time: 2.236, data_time: 0.067, memory: 28667, loss_cls: 0.1988, loss_offset: 0.4871, loss_depth: 0.4165, loss_size: 0.4393, loss_rotsin: 0.1705, loss_centerness: 0.5695, loss_velo: 0.0534, loss_dir: 0.2637, loss_attr: 0.1103, loss: 2.7091, grad_norm: 5.3961
2021-07-29 04:37:01,420 - mmdet - INFO - Epoch [11][1350/2217]	lr: 8.000e-04, eta: 1:53:21, time: 2.248, data_time: 0.067, memory: 28667, loss_cls: 0.1955, loss_offset: 0.4794, loss_depth: 0.4104, loss_size: 0.4238, loss_rotsin: 0.1643, loss_centerness: 0.5690, loss_velo: 0.0552, loss_dir: 0.2552, loss_attr: 0.1147, loss: 2.6674, grad_norm: 5.2028
2021-07-29 04:38:53,817 - mmdet - INFO - Epoch [11][1400/2217]	lr: 8.000e-04, eta: 1:51:31, time: 2.248, data_time: 0.068, memory: 28667, loss_cls: 0.1968, loss_offset: 0.4794, loss_depth: 0.4192, loss_size: 0.4446, loss_rotsin: 0.1723, loss_centerness: 0.5686, loss_velo: 0.0521, loss_dir: 0.2601, loss_attr: 0.1141, loss: 2.7072, grad_norm: 5.5898
2021-07-29 04:40:45,126 - mmdet - INFO - Epoch [11][1450/2217]	lr: 8.000e-04, eta: 1:49:41, time: 2.226, data_time: 0.070, memory: 28667, loss_cls: 0.1966, loss_offset: 0.4779, loss_depth: 0.4052, loss_size: 0.4273, loss_rotsin: 0.1702, loss_centerness: 0.5690, loss_velo: 0.0532, loss_dir: 0.2604, loss_attr: 0.1100, loss: 2.6700, grad_norm: 5.4174
2021-07-29 04:42:37,915 - mmdet - INFO - Epoch [11][1500/2217]	lr: 8.000e-04, eta: 1:47:51, time: 2.256, data_time: 0.070, memory: 28667, loss_cls: 0.1972, loss_offset: 0.4861, loss_depth: 0.4251, loss_size: 0.4316, loss_rotsin: 0.1725, loss_centerness: 0.5693, loss_velo: 0.0524, loss_dir: 0.2644, loss_attr: 0.1143, loss: 2.7130, grad_norm: 5.5560
2021-07-29 04:44:29,561 - mmdet - INFO - Epoch [11][1550/2217]	lr: 8.000e-04, eta: 1:46:01, time: 2.233, data_time: 0.069, memory: 28667, loss_cls: 0.1947, loss_offset: 0.4800, loss_depth: 0.4141, loss_size: 0.4380, loss_rotsin: 0.1653, loss_centerness: 0.5690, loss_velo: 0.0519, loss_dir: 0.2583, loss_attr: 0.1101, loss: 2.6813, grad_norm: 5.1511
2021-07-29 04:46:22,259 - mmdet - INFO - Epoch [11][1600/2217]	lr: 8.000e-04, eta: 1:44:11, time: 2.254, data_time: 0.071, memory: 28667, loss_cls: 0.1950, loss_offset: 0.4823, loss_depth: 0.4167, loss_size: 0.4282, loss_rotsin: 0.1715, loss_centerness: 0.5692, loss_velo: 0.0490, loss_dir: 0.2669, loss_attr: 0.1143, loss: 2.6932, grad_norm: 5.0882
2021-07-29 04:48:12,317 - mmdet - INFO - Epoch [11][1650/2217]	lr: 8.000e-04, eta: 1:42:21, time: 2.201, data_time: 0.073, memory: 28667, loss_cls: 0.1987, loss_offset: 0.4798, loss_depth: 0.4125, loss_size: 0.4312, loss_rotsin: 0.1677, loss_centerness: 0.5685, loss_velo: 0.0513, loss_dir: 0.2583, loss_attr: 0.1091, loss: 2.6771, grad_norm: 5.4390
2021-07-29 04:50:03,771 - mmdet - INFO - Epoch [11][1700/2217]	lr: 8.000e-04, eta: 1:40:30, time: 2.229, data_time: 0.071, memory: 28667, loss_cls: 0.1942, loss_offset: 0.4765, loss_depth: 0.4051, loss_size: 0.4235, loss_rotsin: 0.1683, loss_centerness: 0.5689, loss_velo: 0.0553, loss_dir: 0.2560, loss_attr: 0.1107, loss: 2.6585, grad_norm: 5.4189
2021-07-29 04:51:53,991 - mmdet - INFO - Epoch [11][1750/2217]	lr: 8.000e-04, eta: 1:38:40, time: 2.205, data_time: 0.072, memory: 28667, loss_cls: 0.1935, loss_offset: 0.4779, loss_depth: 0.4062, loss_size: 0.4265, loss_rotsin: 0.1696, loss_centerness: 0.5687, loss_velo: 0.0515, loss_dir: 0.2616, loss_attr: 0.1106, loss: 2.6661, grad_norm: 5.2010
2021-07-29 04:53:44,601 - mmdet - INFO - Epoch [11][1800/2217]	lr: 8.000e-04, eta: 1:36:50, time: 2.212, data_time: 0.072, memory: 28667, loss_cls: 0.1946, loss_offset: 0.4822, loss_depth: 0.4100, loss_size: 0.4337, loss_rotsin: 0.1686, loss_centerness: 0.5690, loss_velo: 0.0510, loss_dir: 0.2639, loss_attr: 0.1184, loss: 2.6913, grad_norm: 5.2621
2021-07-29 04:55:34,972 - mmdet - INFO - Epoch [11][1850/2217]	lr: 8.000e-04, eta: 1:35:00, time: 2.207, data_time: 0.074, memory: 28667, loss_cls: 0.1948, loss_offset: 0.4787, loss_depth: 0.4143, loss_size: 0.4254, loss_rotsin: 0.1672, loss_centerness: 0.5691, loss_velo: 0.0558, loss_dir: 0.2595, loss_attr: 0.1090, loss: 2.6737, grad_norm: 5.3779
2021-07-29 04:57:24,640 - mmdet - INFO - Epoch [11][1900/2217]	lr: 8.000e-04, eta: 1:33:09, time: 2.193, data_time: 0.075, memory: 28667, loss_cls: 0.1963, loss_offset: 0.4782, loss_depth: 0.4185, loss_size: 0.4356, loss_rotsin: 0.1702, loss_centerness: 0.5691, loss_velo: 0.0540, loss_dir: 0.2587, loss_attr: 0.1102, loss: 2.6908, grad_norm: 5.4861
2021-07-29 04:59:15,653 - mmdet - INFO - Epoch [11][1950/2217]	lr: 8.000e-04, eta: 1:31:19, time: 2.220, data_time: 0.078, memory: 28667, loss_cls: 0.1958, loss_offset: 0.4835, loss_depth: 0.4156, loss_size: 0.4291, loss_rotsin: 0.1695, loss_centerness: 0.5693, loss_velo: 0.0545, loss_dir: 0.2603, loss_attr: 0.1079, loss: 2.6856, grad_norm: 5.4712
2021-07-29 05:01:04,802 - mmdet - INFO - Epoch [11][2000/2217]	lr: 8.000e-04, eta: 1:29:29, time: 2.183, data_time: 0.077, memory: 28667, loss_cls: 0.1943, loss_offset: 0.4770, loss_depth: 0.4133, loss_size: 0.4304, loss_rotsin: 0.1676, loss_centerness: 0.5688, loss_velo: 0.0515, loss_dir: 0.2596, loss_attr: 0.1095, loss: 2.6719, grad_norm: 5.1818
2021-07-29 05:02:53,067 - mmdet - INFO - Epoch [11][2050/2217]	lr: 8.000e-04, eta: 1:27:38, time: 2.165, data_time: 0.079, memory: 28667, loss_cls: 0.1951, loss_offset: 0.4879, loss_depth: 0.4240, loss_size: 0.4215, loss_rotsin: 0.1705, loss_centerness: 0.5698, loss_velo: 0.0544, loss_dir: 0.2627, loss_attr: 0.1122, loss: 2.6982, grad_norm: 5.4332
2021-07-29 05:04:42,038 - mmdet - INFO - Epoch [11][2100/2217]	lr: 8.000e-04, eta: 1:25:48, time: 2.179, data_time: 0.078, memory: 28667, loss_cls: 0.1966, loss_offset: 0.4859, loss_depth: 0.4102, loss_size: 0.4242, loss_rotsin: 0.1709, loss_centerness: 0.5692, loss_velo: 0.0520, loss_dir: 0.2658, loss_attr: 0.1080, loss: 2.6829, grad_norm: 5.1182
2021-07-29 05:06:31,153 - mmdet - INFO - Epoch [11][2150/2217]	lr: 8.000e-04, eta: 1:23:57, time: 2.182, data_time: 0.079, memory: 28667, loss_cls: 0.1956, loss_offset: 0.4871, loss_depth: 0.4138, loss_size: 0.4329, loss_rotsin: 0.1689, loss_centerness: 0.5693, loss_velo: 0.0521, loss_dir: 0.2648, loss_attr: 0.1084, loss: 2.6928, grad_norm: 5.3151
2021-07-29 05:08:19,290 - mmdet - INFO - Epoch [11][2200/2217]	lr: 8.000e-04, eta: 1:22:07, time: 2.163, data_time: 0.079, memory: 28667, loss_cls: 0.1971, loss_offset: 0.4806, loss_depth: 0.4093, loss_size: 0.4278, loss_rotsin: 0.1684, loss_centerness: 0.5691, loss_velo: 0.0534, loss_dir: 0.2579, loss_attr: 0.1124, loss: 2.6760, grad_norm: 5.5850
2021-07-29 05:08:56,132 - mmdet - INFO - Saving checkpoint at 11 epochs
2021-07-29 05:10:57,310 - mmdet - INFO - Epoch [12][50/2217]	lr: 8.000e-05, eta: 1:19:37, time: 2.394, data_time: 0.264, memory: 28667, loss_cls: 0.1965, loss_offset: 0.4804, loss_depth: 0.4025, loss_size: 0.4148, loss_rotsin: 0.1654, loss_centerness: 0.5692, loss_velo: 0.0549, loss_dir: 0.2489, loss_attr: 0.1038, loss: 2.6365, grad_norm: 4.9436
2021-07-29 05:12:46,703 - mmdet - INFO - Epoch [12][100/2217]	lr: 8.000e-05, eta: 1:17:46, time: 2.188, data_time: 0.063, memory: 28667, loss_cls: 0.1951, loss_offset: 0.4803, loss_depth: 0.4040, loss_size: 0.4298, loss_rotsin: 0.1674, loss_centerness: 0.5687, loss_velo: 0.0550, loss_dir: 0.2509, loss_attr: 0.0997, loss: 2.6510, grad_norm: 4.9400
2021-07-29 05:14:35,105 - mmdet - INFO - Epoch [12][150/2217]	lr: 8.000e-05, eta: 1:15:56, time: 2.168, data_time: 0.068, memory: 28667, loss_cls: 0.1959, loss_offset: 0.4751, loss_depth: 0.3978, loss_size: 0.4213, loss_rotsin: 0.1663, loss_centerness: 0.5689, loss_velo: 0.0526, loss_dir: 0.2501, loss_attr: 0.1027, loss: 2.6307, grad_norm: 4.9890
2021-07-29 05:16:24,004 - mmdet - INFO - Epoch [12][200/2217]	lr: 8.000e-05, eta: 1:14:06, time: 2.178, data_time: 0.062, memory: 28667, loss_cls: 0.1941, loss_offset: 0.4745, loss_depth: 0.3863, loss_size: 0.4214, loss_rotsin: 0.1698, loss_centerness: 0.5684, loss_velo: 0.0543, loss_dir: 0.2498, loss_attr: 0.1009, loss: 2.6195, grad_norm: 5.0246
2021-07-29 05:18:13,787 - mmdet - INFO - Epoch [12][250/2217]	lr: 8.000e-05, eta: 1:12:15, time: 2.196, data_time: 0.069, memory: 28667, loss_cls: 0.1939, loss_offset: 0.4787, loss_depth: 0.4027, loss_size: 0.4257, loss_rotsin: 0.1634, loss_centerness: 0.5692, loss_velo: 0.0494, loss_dir: 0.2530, loss_attr: 0.1013, loss: 2.6373, grad_norm: 4.9372
2021-07-29 05:20:05,270 - mmdet - INFO - Epoch [12][300/2217]	lr: 8.000e-05, eta: 1:10:25, time: 2.230, data_time: 0.069, memory: 28667, loss_cls: 0.1951, loss_offset: 0.4769, loss_depth: 0.3970, loss_size: 0.4166, loss_rotsin: 0.1653, loss_centerness: 0.5687, loss_velo: 0.0544, loss_dir: 0.2520, loss_attr: 0.1051, loss: 2.6311, grad_norm: 4.9963
2021-07-29 05:21:55,674 - mmdet - INFO - Epoch [12][350/2217]	lr: 8.000e-05, eta: 1:08:35, time: 2.208, data_time: 0.068, memory: 28667, loss_cls: 0.1969, loss_offset: 0.4915, loss_depth: 0.4048, loss_size: 0.4271, loss_rotsin: 0.1661, loss_centerness: 0.5692, loss_velo: 0.0545, loss_dir: 0.2525, loss_attr: 0.0996, loss: 2.6623, grad_norm: 5.0806
2021-07-29 05:23:45,267 - mmdet - INFO - Epoch [12][400/2217]	lr: 8.000e-05, eta: 1:06:45, time: 2.192, data_time: 0.065, memory: 28667, loss_cls: 0.1947, loss_offset: 0.4806, loss_depth: 0.3964, loss_size: 0.4116, loss_rotsin: 0.1697, loss_centerness: 0.5687, loss_velo: 0.0517, loss_dir: 0.2540, loss_attr: 0.0978, loss: 2.6252, grad_norm: 4.8459
2021-07-29 05:25:34,258 - mmdet - INFO - Epoch [12][450/2217]	lr: 8.000e-05, eta: 1:04:54, time: 2.180, data_time: 0.071, memory: 28667, loss_cls: 0.1931, loss_offset: 0.4694, loss_depth: 0.3891, loss_size: 0.4146, loss_rotsin: 0.1663, loss_centerness: 0.5686, loss_velo: 0.0531, loss_dir: 0.2512, loss_attr: 0.1002, loss: 2.6056, grad_norm: 5.0337
2021-07-29 05:27:24,778 - mmdet - INFO - Epoch [12][500/2217]	lr: 8.000e-05, eta: 1:03:04, time: 2.210, data_time: 0.072, memory: 28667, loss_cls: 0.1957, loss_offset: 0.4835, loss_depth: 0.4046, loss_size: 0.4181, loss_rotsin: 0.1667, loss_centerness: 0.5692, loss_velo: 0.0536, loss_dir: 0.2526, loss_attr: 0.1059, loss: 2.6499, grad_norm: 4.8866
2021-07-29 05:29:15,978 - mmdet - INFO - Epoch [12][550/2217]	lr: 8.000e-05, eta: 1:01:14, time: 2.224, data_time: 0.072, memory: 28667, loss_cls: 0.1941, loss_offset: 0.4740, loss_depth: 0.3887, loss_size: 0.4217, loss_rotsin: 0.1649, loss_centerness: 0.5687, loss_velo: 0.0513, loss_dir: 0.2544, loss_attr: 0.1009, loss: 2.6188, grad_norm: 5.0801
2021-07-29 05:31:05,483 - mmdet - INFO - Epoch [12][600/2217]	lr: 8.000e-05, eta: 0:59:24, time: 2.190, data_time: 0.068, memory: 28667, loss_cls: 0.1897, loss_offset: 0.4684, loss_depth: 0.3938, loss_size: 0.4143, loss_rotsin: 0.1597, loss_centerness: 0.5686, loss_velo: 0.0536, loss_dir: 0.2438, loss_attr: 0.1055, loss: 2.5974, grad_norm: 4.7669
2021-07-29 05:32:55,134 - mmdet - INFO - Epoch [12][650/2217]	lr: 8.000e-05, eta: 0:57:34, time: 2.193, data_time: 0.068, memory: 28667, loss_cls: 0.1919, loss_offset: 0.4770, loss_depth: 0.3912, loss_size: 0.4097, loss_rotsin: 0.1630, loss_centerness: 0.5692, loss_velo: 0.0514, loss_dir: 0.2527, loss_attr: 0.0929, loss: 2.5990, grad_norm: 4.8408
2021-07-29 05:34:45,924 - mmdet - INFO - Epoch [12][700/2217]	lr: 8.000e-05, eta: 0:55:43, time: 2.216, data_time: 0.073, memory: 28667, loss_cls: 0.1923, loss_offset: 0.4727, loss_depth: 0.3944, loss_size: 0.4184, loss_rotsin: 0.1619, loss_centerness: 0.5685, loss_velo: 0.0521, loss_dir: 0.2434, loss_attr: 0.1011, loss: 2.6047, grad_norm: 4.8874
2021-07-29 05:36:35,673 - mmdet - INFO - Epoch [12][750/2217]	lr: 8.000e-05, eta: 0:53:53, time: 2.195, data_time: 0.072, memory: 28667, loss_cls: 0.1972, loss_offset: 0.4800, loss_depth: 0.4019, loss_size: 0.4305, loss_rotsin: 0.1689, loss_centerness: 0.5691, loss_velo: 0.0556, loss_dir: 0.2523, loss_attr: 0.0998, loss: 2.6554, grad_norm: 5.0734
2021-07-29 05:38:26,942 - mmdet - INFO - Epoch [12][800/2217]	lr: 8.000e-05, eta: 0:52:03, time: 2.225, data_time: 0.072, memory: 28667, loss_cls: 0.1955, loss_offset: 0.4811, loss_depth: 0.3914, loss_size: 0.4223, loss_rotsin: 0.1690, loss_centerness: 0.5692, loss_velo: 0.0512, loss_dir: 0.2557, loss_attr: 0.1014, loss: 2.6369, grad_norm: 4.9422
2021-07-29 05:40:17,918 - mmdet - INFO - Epoch [12][850/2217]	lr: 8.000e-05, eta: 0:50:13, time: 2.219, data_time: 0.073, memory: 28667, loss_cls: 0.1933, loss_offset: 0.4858, loss_depth: 0.3970, loss_size: 0.4139, loss_rotsin: 0.1698, loss_centerness: 0.5699, loss_velo: 0.0528, loss_dir: 0.2569, loss_attr: 0.1091, loss: 2.6486, grad_norm: 4.8747
2021-07-29 05:42:08,152 - mmdet - INFO - Epoch [12][900/2217]	lr: 8.000e-05, eta: 0:48:23, time: 2.205, data_time: 0.074, memory: 28667, loss_cls: 0.1955, loss_offset: 0.4823, loss_depth: 0.3998, loss_size: 0.4190, loss_rotsin: 0.1667, loss_centerness: 0.5693, loss_velo: 0.0513, loss_dir: 0.2567, loss_attr: 0.0979, loss: 2.6385, grad_norm: 4.9583
2021-07-29 05:43:59,906 - mmdet - INFO - Epoch [12][950/2217]	lr: 8.000e-05, eta: 0:46:32, time: 2.235, data_time: 0.072, memory: 28667, loss_cls: 0.1950, loss_offset: 0.4824, loss_depth: 0.3982, loss_size: 0.4170, loss_rotsin: 0.1696, loss_centerness: 0.5694, loss_velo: 0.0521, loss_dir: 0.2530, loss_attr: 0.1039, loss: 2.6406, grad_norm: 4.8509
2021-07-29 05:45:49,816 - mmdet - INFO - Epoch [12][1000/2217]	lr: 8.000e-05, eta: 0:44:42, time: 2.198, data_time: 0.073, memory: 28667, loss_cls: 0.1934, loss_offset: 0.4750, loss_depth: 0.3946, loss_size: 0.4236, loss_rotsin: 0.1672, loss_centerness: 0.5688, loss_velo: 0.0539, loss_dir: 0.2532, loss_attr: 0.0980, loss: 2.6278, grad_norm: 4.9021
2021-07-29 05:47:39,959 - mmdet - INFO - Epoch [12][1050/2217]	lr: 8.000e-05, eta: 0:42:52, time: 2.203, data_time: 0.071, memory: 28667, loss_cls: 0.1944, loss_offset: 0.4775, loss_depth: 0.3962, loss_size: 0.4161, loss_rotsin: 0.1647, loss_centerness: 0.5692, loss_velo: 0.0519, loss_dir: 0.2490, loss_attr: 0.0975, loss: 2.6165, grad_norm: 4.9495
2021-07-29 05:49:32,884 - mmdet - INFO - Epoch [12][1100/2217]	lr: 8.000e-05, eta: 0:41:02, time: 2.258, data_time: 0.074, memory: 28667, loss_cls: 0.1935, loss_offset: 0.4814, loss_depth: 0.3954, loss_size: 0.4097, loss_rotsin: 0.1664, loss_centerness: 0.5696, loss_velo: 0.0554, loss_dir: 0.2526, loss_attr: 0.1035, loss: 2.6276, grad_norm: 4.8948
2021-07-29 05:51:24,067 - mmdet - INFO - Epoch [12][1150/2217]	lr: 8.000e-05, eta: 0:39:12, time: 2.224, data_time: 0.075, memory: 28667, loss_cls: 0.1936, loss_offset: 0.4753, loss_depth: 0.3928, loss_size: 0.4191, loss_rotsin: 0.1656, loss_centerness: 0.5686, loss_velo: 0.0548, loss_dir: 0.2453, loss_attr: 0.1043, loss: 2.6194, grad_norm: 4.9512
2021-07-29 05:53:15,198 - mmdet - INFO - Epoch [12][1200/2217]	lr: 8.000e-05, eta: 0:37:22, time: 2.223, data_time: 0.077, memory: 28667, loss_cls: 0.1916, loss_offset: 0.4791, loss_depth: 0.3929, loss_size: 0.4220, loss_rotsin: 0.1666, loss_centerness: 0.5689, loss_velo: 0.0526, loss_dir: 0.2542, loss_attr: 0.1110, loss: 2.6388, grad_norm: 5.0730
2021-07-29 05:55:05,717 - mmdet - INFO - Epoch [12][1250/2217]	lr: 8.000e-05, eta: 0:35:31, time: 2.210, data_time: 0.082, memory: 28667, loss_cls: 0.1956, loss_offset: 0.4717, loss_depth: 0.4000, loss_size: 0.4351, loss_rotsin: 0.1618, loss_centerness: 0.5684, loss_velo: 0.0523, loss_dir: 0.2455, loss_attr: 0.0995, loss: 2.6301, grad_norm: 5.0923
2021-07-29 05:56:54,707 - mmdet - INFO - Epoch [12][1300/2217]	lr: 8.000e-05, eta: 0:33:41, time: 2.180, data_time: 0.080, memory: 28667, loss_cls: 0.1947, loss_offset: 0.4735, loss_depth: 0.3835, loss_size: 0.4184, loss_rotsin: 0.1634, loss_centerness: 0.5686, loss_velo: 0.0525, loss_dir: 0.2510, loss_attr: 0.0976, loss: 2.6034, grad_norm: 5.0747
2021-07-29 05:58:45,282 - mmdet - INFO - Epoch [12][1350/2217]	lr: 8.000e-05, eta: 0:31:51, time: 2.211, data_time: 0.081, memory: 28667, loss_cls: 0.1923, loss_offset: 0.4714, loss_depth: 0.3983, loss_size: 0.4125, loss_rotsin: 0.1601, loss_centerness: 0.5689, loss_velo: 0.0534, loss_dir: 0.2498, loss_attr: 0.1022, loss: 2.6088, grad_norm: 4.8958
2021-07-29 06:00:35,983 - mmdet - INFO - Epoch [12][1400/2217]	lr: 8.000e-05, eta: 0:30:01, time: 2.214, data_time: 0.079, memory: 28667, loss_cls: 0.1956, loss_offset: 0.4822, loss_depth: 0.4009, loss_size: 0.4268, loss_rotsin: 0.1639, loss_centerness: 0.5693, loss_velo: 0.0526, loss_dir: 0.2483, loss_attr: 0.1002, loss: 2.6397, grad_norm: 4.9434
2021-07-29 06:02:26,276 - mmdet - INFO - Epoch [12][1450/2217]	lr: 8.000e-05, eta: 0:28:10, time: 2.206, data_time: 0.081, memory: 28667, loss_cls: 0.1946, loss_offset: 0.4748, loss_depth: 0.4003, loss_size: 0.4343, loss_rotsin: 0.1636, loss_centerness: 0.5689, loss_velo: 0.0530, loss_dir: 0.2485, loss_attr: 0.1027, loss: 2.6407, grad_norm: 5.0390
2021-07-29 06:04:14,091 - mmdet - INFO - Epoch [12][1500/2217]	lr: 8.000e-05, eta: 0:26:20, time: 2.156, data_time: 0.080, memory: 28667, loss_cls: 0.1931, loss_offset: 0.4762, loss_depth: 0.3942, loss_size: 0.4205, loss_rotsin: 0.1667, loss_centerness: 0.5689, loss_velo: 0.0528, loss_dir: 0.2541, loss_attr: 0.1005, loss: 2.6270, grad_norm: 4.9834
2021-07-29 06:06:02,602 - mmdet - INFO - Epoch [12][1550/2217]	lr: 8.000e-05, eta: 0:24:30, time: 2.170, data_time: 0.080, memory: 28667, loss_cls: 0.1928, loss_offset: 0.4733, loss_depth: 0.4004, loss_size: 0.4146, loss_rotsin: 0.1641, loss_centerness: 0.5687, loss_velo: 0.0502, loss_dir: 0.2553, loss_attr: 0.1022, loss: 2.6216, grad_norm: 4.9907
2021-07-29 06:07:51,883 - mmdet - INFO - Epoch [12][1600/2217]	lr: 8.000e-05, eta: 0:22:40, time: 2.186, data_time: 0.080, memory: 28667, loss_cls: 0.1927, loss_offset: 0.4668, loss_depth: 0.3877, loss_size: 0.4169, loss_rotsin: 0.1654, loss_centerness: 0.5688, loss_velo: 0.0561, loss_dir: 0.2501, loss_attr: 0.0999, loss: 2.6043, grad_norm: 5.0442
2021-07-29 06:09:41,060 - mmdet - INFO - Epoch [12][1650/2217]	lr: 8.000e-05, eta: 0:20:49, time: 2.184, data_time: 0.079, memory: 28667, loss_cls: 0.1924, loss_offset: 0.4714, loss_depth: 0.3943, loss_size: 0.4164, loss_rotsin: 0.1628, loss_centerness: 0.5685, loss_velo: 0.0521, loss_dir: 0.2485, loss_attr: 0.0952, loss: 2.6016, grad_norm: 4.9400
2021-07-29 06:11:30,523 - mmdet - INFO - Epoch [12][1700/2217]	lr: 8.000e-05, eta: 0:18:59, time: 2.189, data_time: 0.076, memory: 28667, loss_cls: 0.1935, loss_offset: 0.4670, loss_depth: 0.3984, loss_size: 0.4278, loss_rotsin: 0.1635, loss_centerness: 0.5682, loss_velo: 0.0522, loss_dir: 0.2488, loss_attr: 0.0990, loss: 2.6184, grad_norm: 5.0817
2021-07-29 06:13:22,314 - mmdet - INFO - Epoch [12][1750/2217]	lr: 8.000e-05, eta: 0:17:09, time: 2.236, data_time: 0.075, memory: 28667, loss_cls: 0.1927, loss_offset: 0.4732, loss_depth: 0.3997, loss_size: 0.4185, loss_rotsin: 0.1650, loss_centerness: 0.5688, loss_velo: 0.0517, loss_dir: 0.2605, loss_attr: 0.0991, loss: 2.6294, grad_norm: 5.0812
2021-07-29 06:15:12,058 - mmdet - INFO - Epoch [12][1800/2217]	lr: 8.000e-05, eta: 0:15:19, time: 2.195, data_time: 0.076, memory: 28667, loss_cls: 0.1978, loss_offset: 0.4794, loss_depth: 0.4057, loss_size: 0.4250, loss_rotsin: 0.1674, loss_centerness: 0.5692, loss_velo: 0.0523, loss_dir: 0.2527, loss_attr: 0.1001, loss: 2.6496, grad_norm: 5.0296
2021-07-29 06:17:02,640 - mmdet - INFO - Epoch [12][1850/2217]	lr: 8.000e-05, eta: 0:13:28, time: 2.212, data_time: 0.077, memory: 28667, loss_cls: 0.1943, loss_offset: 0.4737, loss_depth: 0.3971, loss_size: 0.4213, loss_rotsin: 0.1656, loss_centerness: 0.5686, loss_velo: 0.0517, loss_dir: 0.2475, loss_attr: 0.1004, loss: 2.6202, grad_norm: 5.1547
2021-07-29 06:18:55,014 - mmdet - INFO - Epoch [12][1900/2217]	lr: 8.000e-05, eta: 0:11:38, time: 2.247, data_time: 0.076, memory: 28667, loss_cls: 0.1947, loss_offset: 0.4778, loss_depth: 0.3938, loss_size: 0.4241, loss_rotsin: 0.1680, loss_centerness: 0.5687, loss_velo: 0.0523, loss_dir: 0.2478, loss_attr: 0.1033, loss: 2.6305, grad_norm: 4.9895
2021-07-29 06:20:45,884 - mmdet - INFO - Epoch [12][1950/2217]	lr: 8.000e-05, eta: 0:09:48, time: 2.217, data_time: 0.077, memory: 28667, loss_cls: 0.1943, loss_offset: 0.4755, loss_depth: 0.3927, loss_size: 0.4182, loss_rotsin: 0.1622, loss_centerness: 0.5686, loss_velo: 0.0537, loss_dir: 0.2527, loss_attr: 0.1004, loss: 2.6184, grad_norm: 4.9988
2021-07-29 06:22:35,184 - mmdet - INFO - Epoch [12][2000/2217]	lr: 8.000e-05, eta: 0:07:58, time: 2.186, data_time: 0.079, memory: 28667, loss_cls: 0.1939, loss_offset: 0.4751, loss_depth: 0.4009, loss_size: 0.4149, loss_rotsin: 0.1644, loss_centerness: 0.5690, loss_velo: 0.0527, loss_dir: 0.2528, loss_attr: 0.0953, loss: 2.6190, grad_norm: 4.9357
2021-07-29 06:24:25,639 - mmdet - INFO - Epoch [12][2050/2217]	lr: 8.000e-05, eta: 0:06:08, time: 2.209, data_time: 0.075, memory: 28667, loss_cls: 0.1937, loss_offset: 0.4721, loss_depth: 0.3943, loss_size: 0.4171, loss_rotsin: 0.1671, loss_centerness: 0.5688, loss_velo: 0.0521, loss_dir: 0.2491, loss_attr: 0.0968, loss: 2.6111, grad_norm: 4.8624
2021-07-29 06:26:18,402 - mmdet - INFO - Epoch [12][2100/2217]	lr: 8.000e-05, eta: 0:04:17, time: 2.255, data_time: 0.076, memory: 28667, loss_cls: 0.1931, loss_offset: 0.4744, loss_depth: 0.3862, loss_size: 0.4133, loss_rotsin: 0.1641, loss_centerness: 0.5686, loss_velo: 0.0519, loss_dir: 0.2568, loss_attr: 0.0966, loss: 2.6049, grad_norm: 4.9867
2021-07-29 06:28:08,222 - mmdet - INFO - Epoch [12][2150/2217]	lr: 8.000e-05, eta: 0:02:27, time: 2.196, data_time: 0.075, memory: 28667, loss_cls: 0.1958, loss_offset: 0.4794, loss_depth: 0.3979, loss_size: 0.4234, loss_rotsin: 0.1647, loss_centerness: 0.5689, loss_velo: 0.0531, loss_dir: 0.2432, loss_attr: 0.0990, loss: 2.6254, grad_norm: 4.9804
2021-07-29 06:29:58,743 - mmdet - INFO - Epoch [12][2200/2217]	lr: 8.000e-05, eta: 0:00:37, time: 2.210, data_time: 0.076, memory: 28667, loss_cls: 0.1930, loss_offset: 0.4749, loss_depth: 0.3922, loss_size: 0.4237, loss_rotsin: 0.1608, loss_centerness: 0.5683, loss_velo: 0.0519, loss_dir: 0.2482, loss_attr: 0.0954, loss: 2.6085, grad_norm: 4.9779
2021-07-29 07:12:42,986 - mmdet - INFO - Saving checkpoint at 12 epochs
2021-07-29 07:12:44,248 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-07-29 07:12:44,248 - mmdet - INFO - Epoch(val) [12][2217]	img_bbox_NuScenes/car_AP_dist_0.5: 0.0804, img_bbox_NuScenes/car_AP_dist_1.0: 0.3177, img_bbox_NuScenes/car_AP_dist_2.0: 0.6123, img_bbox_NuScenes/car_AP_dist_4.0: 0.7845, img_bbox_NuScenes/car_trans_err: 0.6612, img_bbox_NuScenes/car_scale_err: 0.1519, img_bbox_NuScenes/car_orient_err: 0.1431, img_bbox_NuScenes/car_vel_err: 2.0403, img_bbox_NuScenes/car_attr_err: 0.1404, img_bbox_NuScenes/truck_AP_dist_0.5: 0.0010, img_bbox_NuScenes/truck_AP_dist_1.0: 0.0703, img_bbox_NuScenes/truck_AP_dist_2.0: 0.2702, img_bbox_NuScenes/truck_AP_dist_4.0: 0.4682, img_bbox_NuScenes/truck_trans_err: 0.8828, img_bbox_NuScenes/truck_scale_err: 0.2097, img_bbox_NuScenes/truck_orient_err: 0.2003, img_bbox_NuScenes/truck_vel_err: 1.3025, img_bbox_NuScenes/truck_attr_err: 0.1917, img_bbox_NuScenes/trailer_AP_dist_0.5: 0.0000, img_bbox_NuScenes/trailer_AP_dist_1.0: 0.0000, img_bbox_NuScenes/trailer_AP_dist_2.0: 0.0427, img_bbox_NuScenes/trailer_AP_dist_4.0: 0.2264, img_bbox_NuScenes/trailer_trans_err: 1.1495, img_bbox_NuScenes/trailer_scale_err: 0.2294, img_bbox_NuScenes/trailer_orient_err: 0.8189, img_bbox_NuScenes/trailer_vel_err: 0.6591, img_bbox_NuScenes/trailer_attr_err: 0.0659, img_bbox_NuScenes/bus_AP_dist_0.5: 0.0036, img_bbox_NuScenes/bus_AP_dist_1.0: 0.0710, img_bbox_NuScenes/bus_AP_dist_2.0: 0.2983, img_bbox_NuScenes/bus_AP_dist_4.0: 0.6033, img_bbox_NuScenes/bus_trans_err: 0.9141, img_bbox_NuScenes/bus_scale_err: 0.1892, img_bbox_NuScenes/bus_orient_err: 0.2425, img_bbox_NuScenes/bus_vel_err: 3.0662, img_bbox_NuScenes/bus_attr_err: 0.3714, img_bbox_NuScenes/construction_vehicle_AP_dist_0.5: 0.0000, img_bbox_NuScenes/construction_vehicle_AP_dist_1.0: 0.0000, img_bbox_NuScenes/construction_vehicle_AP_dist_2.0: 0.0253, img_bbox_NuScenes/construction_vehicle_AP_dist_4.0: 0.1122, img_bbox_NuScenes/construction_vehicle_trans_err: 1.0765, img_bbox_NuScenes/construction_vehicle_scale_err: 0.4608, img_bbox_NuScenes/construction_vehicle_orient_err: 1.1457, img_bbox_NuScenes/construction_vehicle_vel_err: 0.1220, img_bbox_NuScenes/construction_vehicle_attr_err: 0.2667, img_bbox_NuScenes/bicycle_AP_dist_0.5: 0.0181, img_bbox_NuScenes/bicycle_AP_dist_1.0: 0.1291, img_bbox_NuScenes/bicycle_AP_dist_2.0: 0.3021, img_bbox_NuScenes/bicycle_AP_dist_4.0: 0.4318, img_bbox_NuScenes/bicycle_trans_err: 0.8090, img_bbox_NuScenes/bicycle_scale_err: 0.2721, img_bbox_NuScenes/bicycle_orient_err: 0.9363, img_bbox_NuScenes/bicycle_vel_err: 0.8369, img_bbox_NuScenes/bicycle_attr_err: 0.0141, img_bbox_NuScenes/motorcycle_AP_dist_0.5: 0.0311, img_bbox_NuScenes/motorcycle_AP_dist_1.0: 0.1612, img_bbox_NuScenes/motorcycle_AP_dist_2.0: 0.3492, img_bbox_NuScenes/motorcycle_AP_dist_4.0: 0.4738, img_bbox_NuScenes/motorcycle_trans_err: 0.7791, img_bbox_NuScenes/motorcycle_scale_err: 0.2634, img_bbox_NuScenes/motorcycle_orient_err: 0.7262, img_bbox_NuScenes/motorcycle_vel_err: 1.9858, img_bbox_NuScenes/motorcycle_attr_err: 0.1095, img_bbox_NuScenes/pedestrian_AP_dist_0.5: 0.0588, img_bbox_NuScenes/pedestrian_AP_dist_1.0: 0.2496, img_bbox_NuScenes/pedestrian_AP_dist_2.0: 0.4888, img_bbox_NuScenes/pedestrian_AP_dist_4.0: 0.6641, img_bbox_NuScenes/pedestrian_trans_err: 0.7160, img_bbox_NuScenes/pedestrian_scale_err: 0.2879, img_bbox_NuScenes/pedestrian_orient_err: 0.7871, img_bbox_NuScenes/pedestrian_vel_err: 0.9021, img_bbox_NuScenes/pedestrian_attr_err: 0.1613, img_bbox_NuScenes/traffic_cone_AP_dist_0.5: 0.1854, img_bbox_NuScenes/traffic_cone_AP_dist_1.0: 0.4484, img_bbox_NuScenes/traffic_cone_AP_dist_2.0: 0.6467, img_bbox_NuScenes/traffic_cone_AP_dist_4.0: 0.7339, img_bbox_NuScenes/traffic_cone_trans_err: 0.5712, img_bbox_NuScenes/traffic_cone_scale_err: 0.3170, img_bbox_NuScenes/traffic_cone_orient_err: nan, img_bbox_NuScenes/traffic_cone_vel_err: nan, img_bbox_NuScenes/traffic_cone_attr_err: nan, img_bbox_NuScenes/barrier_AP_dist_0.5: 0.1005, img_bbox_NuScenes/barrier_AP_dist_1.0: 0.3676, img_bbox_NuScenes/barrier_AP_dist_2.0: 0.5827, img_bbox_NuScenes/barrier_AP_dist_4.0: 0.6646, img_bbox_NuScenes/barrier_trans_err: 0.6462, img_bbox_NuScenes/barrier_scale_err: 0.2775, img_bbox_NuScenes/barrier_orient_err: 0.1841, img_bbox_NuScenes/barrier_vel_err: nan, img_bbox_NuScenes/barrier_attr_err: nan, img_bbox_NuScenes/NDS: 0.3557, img_bbox_NuScenes/mAP: 0.2769