[Enhancement] Upgrade isort in pre-commit hook (#1217)

* update isort

* update setuptools

* fix

* pre-commit run --all-files

mmdet3d/core/evaluation/kitti_utils/rotate_iou.py

@@ -5,6 +5,7 @@
 # Author: yanyan, scrin@foxmail.com
 #####################
 import math
+
 import numba
 import numpy as np
 from numba import cuda

mmdet3d/core/evaluation/lyft_eval.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from os import path as osp
+
 import mmcv
 import numpy as np
 from lyft_dataset_sdk.eval.detection.mAP_evaluation import (Box3D, get_ap,
@@ -7,7 +9,6 @@ from lyft_dataset_sdk.eval.detection.mAP_evaluation import (Box3D, get_ap,
                                                             group_by_key,
                                                             wrap_in_box)
 from mmcv.utils import print_log
-from os import path as osp
 from terminaltables import AsciiTable
 
 

mmdet3d/core/evaluation/waymo_utils/prediction_kitti_to_waymo.py

@@ -10,11 +10,12 @@ except ImportError:
         'Please run "pip install waymo-open-dataset-tf-2-1-0==1.2.0" '
         'to install the official devkit first.')
 
+from glob import glob
+from os.path import join
+
 import mmcv
 import numpy as np
 import tensorflow as tf
-from glob import glob
-from os.path import join
 from waymo_open_dataset import label_pb2
 from waymo_open_dataset.protos import metrics_pb2
 

mmdet3d/core/points/base_points.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import numpy as np
-import torch
 import warnings
 from abc import abstractmethod
 
+import numpy as np
+import torch
+
 from ..bbox.structures.utils import rotation_3d_in_axis
 
 

mmdet3d/core/utils/array_converter.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import functools
+from inspect import getfullargspec
+
 import numpy as np
 import torch
-from inspect import getfullargspec
 
 
 def array_converter(to_torch=True,

mmdet3d/core/visualizer/image_vis.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+
 import cv2
 import numpy as np
 import torch

mmdet3d/core/visualizer/open3d_vis.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+
 import numpy as np
 import torch
 

mmdet3d/core/visualizer/show_result.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from os import path as osp
+
 import mmcv
 import numpy as np
 import trimesh
-from os import path as osp
 
 from .image_vis import (draw_camera_bbox3d_on_img, draw_depth_bbox3d_on_img,
                         draw_lidar_bbox3d_on_img)

mmdet3d/datasets/builder.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import platform
+
 from mmcv.utils import Registry, build_from_cfg
 
 from mmdet.datasets import DATASETS

mmdet3d/datasets/custom_3d.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
-import numpy as np
 import tempfile
 import warnings
 from os import path as osp
+
+import mmcv
+import numpy as np
 from torch.utils.data import Dataset
 
 from mmdet.datasets import DATASETS

mmdet3d/datasets/custom_3d_seg.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
-import numpy as np
 import tempfile
 import warnings
 from os import path as osp
+
+import mmcv
+import numpy as np
 from torch.utils.data import Dataset
 
 from mmdet.datasets import DATASETS

mmdet3d/datasets/kitti_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
-import mmcv
-import numpy as np
 import os
 import tempfile
+from os import path as osp
+
+import mmcv
+import numpy as np
 import torch
 from mmcv.utils import print_log
-from os import path as osp
 
 from mmdet.datasets import DATASETS
 from ..core import show_multi_modality_result, show_result

mmdet3d/datasets/kitti_mono_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+import tempfile
+from os import path as osp
+
 import mmcv
 import numpy as np
-import tempfile
 import torch
 from mmcv.utils import print_log
-from os import path as osp
 
 from mmdet.datasets import DATASETS
 from ..core.bbox import Box3DMode, CameraInstance3DBoxes, points_cam2img

mmdet3d/datasets/lyft_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import os
+import tempfile
+from os import path as osp
+
 import mmcv
 import numpy as np
-import os
 import pandas as pd
-import tempfile
 from lyft_dataset_sdk.lyftdataset import LyftDataset as Lyft
 from lyft_dataset_sdk.utils.data_classes import Box as LyftBox
-from os import path as osp
 from pyquaternion import Quaternion
 
 from mmdet3d.core.evaluation.lyft_eval import lyft_eval

mmdet3d/datasets/nuscenes_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import tempfile
+from os import path as osp
+
 import mmcv
 import numpy as np
 import pyquaternion
-import tempfile
 from nuscenes.utils.data_classes import Box as NuScenesBox
-from os import path as osp
 
 from mmdet.datasets import DATASETS
 from ..core import show_result

mmdet3d/datasets/nuscenes_mono_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+import tempfile
+import warnings
+from os import path as osp
+
 import mmcv
 import numpy as np
 import pyquaternion
-import tempfile
 import torch
-import warnings
 from nuscenes.utils.data_classes import Box as NuScenesBox
-from os import path as osp
 
 from mmdet3d.core import bbox3d2result, box3d_multiclass_nms, xywhr2xyxyr
 from mmdet.datasets import DATASETS, CocoDataset

mmdet3d/datasets/pipelines/data_augment_utils.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import warnings
+
 import numba
 import numpy as np
-import warnings
 from numba.core.errors import NumbaPerformanceWarning
 
 from mmdet3d.core.bbox import box_np_ops

mmdet3d/datasets/pipelines/dbsampler.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+import os
+
 import mmcv
 import numpy as np
-import os
 
 from mmdet3d.core.bbox import box_np_ops
 from mmdet3d.datasets.pipelines import data_augment_utils

mmdet3d/datasets/pipelines/test_time_aug.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
 import warnings
 from copy import deepcopy
 
+import mmcv
+
 from mmdet.datasets.builder import PIPELINES
 from mmdet.datasets.pipelines import Compose
 

mmdet3d/datasets/pipelines/transforms_3d.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import cv2
-import numpy as np
 import random
 import warnings
+
+import cv2
+import numpy as np
 from mmcv import is_tuple_of
 from mmcv.utils import build_from_cfg