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

* update isort

* update setuptools

* fix

* pre-commit run --all-files

tests/test_data/test_datasets/test_nuscenes_mono_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import tempfile
+from os import path as osp
+
 import mmcv
 import numpy as np
 import pytest
-import tempfile
 import torch
-from os import path as osp
 
 from mmdet3d.datasets import NuScenesMonoDataset
 

tests/test_data/test_datasets/test_s3dis_dataset.py

@@ -239,10 +239,11 @@ def test_seg_evaluate():
 
 
 def test_seg_show():
-    import mmcv
     import tempfile
     from os import path as osp
 
+    import mmcv
+
     tmp_dir = tempfile.TemporaryDirectory()
     temp_dir = tmp_dir.name
     root_path = './tests/data/s3dis'

tests/test_data/test_datasets/test_scannet_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+
 import numpy as np
 import pytest
 import torch
@@ -200,10 +201,11 @@ def test_evaluate():
 
 
 def test_show():
-    import mmcv
     import tempfile
     from os import path as osp
 
+    import mmcv
+
     from mmdet3d.core.bbox import DepthInstance3DBoxes
     tmp_dir = tempfile.TemporaryDirectory()
     temp_dir = tmp_dir.name
@@ -581,10 +583,11 @@ def test_seg_evaluate():
 
 
 def test_seg_show():
-    import mmcv
     import tempfile
     from os import path as osp
 
+    import mmcv
+
     tmp_dir = tempfile.TemporaryDirectory()
     temp_dir = tmp_dir.name
     root_path = './tests/data/scannet'
@@ -652,9 +655,10 @@ def test_seg_show():
 
 
 def test_seg_format_results():
-    import mmcv
     from os import path as osp
 
+    import mmcv
+
     root_path = './tests/data/scannet'
     ann_file = './tests/data/scannet/scannet_infos.pkl'
     scannet_dataset = ScanNetSegDataset(

tests/test_data/test_datasets/test_sunrgbd_dataset.py

@@ -210,10 +210,11 @@ def test_evaluate():
 
 
 def test_show():
-    import mmcv
     import tempfile
     from os import path as osp
 
+    import mmcv
+
     from mmdet3d.core.bbox import DepthInstance3DBoxes
     tmp_dir = tempfile.TemporaryDirectory()
     temp_dir = tmp_dir.name

tests/test_data/test_datasets/test_waymo_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import tempfile
+
 import numpy as np
 import pytest
-import tempfile
 import torch
 
 from mmdet3d.datasets import WaymoDataset
@@ -165,9 +166,10 @@ def test_evaluate():
 
 
 def test_show():
-    import mmcv
     from os import path as osp
 
+    import mmcv
+
     from mmdet3d.core.bbox import LiDARInstance3DBoxes
 
     # Waymo shares show function with KITTI so I just copy it here

tests/test_data/test_pipelines/test_indoor_pipeline.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from os import path as osp
+
 import mmcv
 import numpy as np
 import torch
-from os import path as osp
 
 from mmdet3d.core.bbox import DepthInstance3DBoxes
 from mmdet3d.datasets.pipelines import Compose

tests/test_data/test_pipelines/test_loadings/test_loading.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from os import path as osp
+
 import mmcv
 import numpy as np
 import pytest
-from os import path as osp
 
 from mmdet3d.core.bbox import DepthInstance3DBoxes
 from mmdet3d.core.points import DepthPoints, LiDARPoints

tests/test_models/test_detectors.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+import random
+from os.path import dirname, exists, join
+
 import numpy as np
 import pytest
-import random
 import torch
-from os.path import dirname, exists, join
 
 from mmdet3d.core.bbox import (CameraInstance3DBoxes, DepthInstance3DBoxes,
                                LiDARInstance3DBoxes)

tests/test_models/test_forward.py

@@ -6,9 +6,10 @@ CommandLine:
     xdoctest tests/test_models/test_forward.py zero
 """
 import copy
+from os.path import dirname, exists, join
+
 import numpy as np
 import torch
-from os.path import dirname, exists, join
 
 
 def _get_config_directory():

tests/test_models/test_heads/test_heads.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+import random
+from os.path import dirname, exists, join
+
 import mmcv
 import numpy as np
 import pytest
-import random
 import torch
-from os.path import dirname, exists, join
 
 from mmdet3d.core.bbox import (Box3DMode, CameraInstance3DBoxes,
                                DepthInstance3DBoxes, LiDARInstance3DBoxes)

tests/test_models/test_segmentors.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+from os.path import dirname, exists, join
+
 import numpy as np
 import pytest
 import torch
-from os.path import dirname, exists, join
 
 from mmdet3d.models.builder import build_segmentor
 from mmdet.apis import set_random_seed

tests/test_runtime/test_apis.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import numpy as np
 import os
-import pytest
 import tempfile
+from os.path import dirname, exists, join
+
+import numpy as np
+import pytest
 import torch
 from mmcv.parallel import MMDataParallel
-from os.path import dirname, exists, join
 
 from mmdet3d.apis import (convert_SyncBN, inference_detector,
                           inference_mono_3d_detector,

tests/test_utils/test_box3d.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import unittest
+
 import numpy as np
 import pytest
 import torch
-import unittest
 
 from mmdet3d.core.bbox import (BaseInstance3DBoxes, Box3DMode,
                                CameraInstance3DBoxes, Coord3DMode,

tools/analysis_tools/analyze_logs.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
 import json
+from collections import defaultdict
+
 import numpy as np
 import seaborn as sns
-from collections import defaultdict
 from matplotlib import pyplot as plt
 
 

tools/analysis_tools/benchmark.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
 import time
+
 import torch
 from mmcv import Config
 from mmcv.parallel import MMDataParallel

tools/analysis_tools/get_flops.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
+
 import torch
 from mmcv import Config, DictAction
 

tools/data_converter/create_gt_database.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import pickle
+from os import path as osp
+
 import mmcv
 import numpy as np
-import pickle
 from mmcv import track_iter_progress
 from mmcv.ops import roi_align
-from os import path as osp
 from pycocotools import mask as maskUtils
 from pycocotools.coco import COCO
 

tools/data_converter/indoor_converter.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import os
+
 import mmcv
 import numpy as np
-import os
 
 from tools.data_converter.s3dis_data_utils import S3DISData, S3DISSegData
 from tools.data_converter.scannet_data_utils import ScanNetData, ScanNetSegData

tools/data_converter/kitti_converter.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from collections import OrderedDict
+from pathlib import Path
+
 import mmcv
 import numpy as np
-from collections import OrderedDict
 from nuscenes.utils.geometry_utils import view_points
-from pathlib import Path
 
 from mmdet3d.core.bbox import box_np_ops, points_cam2img
 from .kitti_data_utils import get_kitti_image_info, get_waymo_image_info

tools/data_converter/kitti_data_utils.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
-import numpy as np
 from collections import OrderedDict
 from concurrent import futures as futures
 from os import path as osp
 from pathlib import Path
+
+import numpy as np
 from skimage import io