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

* update isort

* update setuptools

* fix

* pre-commit run --all-files

tools/data_converter/lyft_converter.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
-import numpy as np
 import os
 from logging import warning
-from lyft_dataset_sdk.lyftdataset import LyftDataset as Lyft
 from os import path as osp
+
+import mmcv
+import numpy as np
+from lyft_dataset_sdk.lyftdataset import LyftDataset as Lyft
 from pyquaternion import Quaternion
 
 from mmdet3d.datasets import LyftDataset

tools/data_converter/lyft_data_fixer.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
-import numpy as np
 import os
 
+import numpy as np
+
 
 def fix_lyft(root_folder='./data/lyft', version='v1.01'):
     # refer to https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/discussion/110000  # noqa

tools/data_converter/nuimage_converter.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
 import base64
+from os import path as osp
+
 import mmcv
 import numpy as np
 from nuimages import NuImages
 from nuimages.utils.utils import mask_decode, name_to_index_mapping
-from os import path as osp
 
 nus_categories = ('car', 'truck', 'trailer', 'bus', 'construction_vehicle',
                   'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone',

tools/data_converter/nuscenes_converter.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
-import numpy as np
 import os
 from collections import OrderedDict
+from os import path as osp
+from typing import List, Tuple, Union
+
+import mmcv
+import numpy as np
 from nuscenes.nuscenes import NuScenes
 from nuscenes.utils.geometry_utils import view_points
-from os import path as osp
 from pyquaternion import Quaternion
 from shapely.geometry import MultiPoint, box
-from typing import List, Tuple, Union
 
 from mmdet3d.core.bbox import points_cam2img
 from mmdet3d.datasets import NuScenesDataset

tools/data_converter/s3dis_data_utils.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
-import numpy as np
 import os
 from concurrent import futures as futures
 from os import path as osp
 
+import mmcv
+import numpy as np
+
 
 class S3DISData(object):
     """S3DIS data.

tools/data_converter/scannet_data_utils.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
-import numpy as np
 import os
 from concurrent import futures as futures
 from os import path as osp
 
+import mmcv
+import numpy as np
+
 
 class ScanNetData(object):
     """ScanNet data.

tools/data_converter/sunrgbd_data_utils.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
-import numpy as np
 from concurrent import futures as futures
 from os import path as osp
+
+import mmcv
+import numpy as np
 from scipy import io as sio
 
 

tools/data_converter/waymo_converter.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.utils import range_image_utils, transform_utils
 from waymo_open_dataset.utils.frame_utils import \
     parse_range_image_and_camera_projection

tools/deployment/mmdet3d2torchserve.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
 from argparse import ArgumentParser, Namespace
 from pathlib import Path
 from tempfile import TemporaryDirectory
 
+import mmcv
+
 try:
     from model_archiver.model_packaging import package_model
     from model_archiver.model_packaging_utils import ModelExportUtils

tools/deployment/mmdet3d_handler.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import base64
-import numpy as np
 import os
+
+import numpy as np
 import torch
 from ts.torch_handler.base_handler import BaseHandler
 

tools/deployment/test_torchserver.py

+from argparse import ArgumentParser
+
 import numpy as np
 import requests
-from argparse import ArgumentParser
 
 from mmdet3d.apis import inference_detector, init_model
 

tools/misc/browse_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
-import mmcv
-import numpy as np
 import warnings
-from mmcv import Config, DictAction, mkdir_or_exist
 from os import path as osp
 from pathlib import Path
 
+import mmcv
+import numpy as np
+from mmcv import Config, DictAction, mkdir_or_exist
+
 from mmdet3d.core.bbox import (Box3DMode, CameraInstance3DBoxes, Coord3DMode,
                                DepthInstance3DBoxes, LiDARInstance3DBoxes)
 from mmdet3d.core.visualizer import (show_multi_modality_result, show_result,

tools/misc/fuse_conv_bn.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
+
 import torch
 from mmcv.runner import save_checkpoint
 from torch import nn as nn

tools/misc/print_config.py

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

tools/misc/visualize_results.py

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

tools/model_converters/convert_h3dnet_checkpoints.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
 import tempfile
+
 import torch
 from mmcv import Config
 from mmcv.runner import load_state_dict

tools/model_converters/convert_votenet_checkpoints.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
 import tempfile
+
 import torch
 from mmcv import Config
 from mmcv.runner import load_state_dict

tools/model_converters/publish_model.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
 import subprocess
+
 import torch
 
 

tools/model_converters/regnet2mmdet.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
-import torch
 from collections import OrderedDict
 
+import torch
+
 
 def convert_stem(model_key, model_weight, state_dict, converted_names):
     new_key = model_key.replace('stem.conv', 'conv1')

tools/test.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import argparse
-import mmcv
 import os
-import torch
 import warnings
+
+import mmcv
+import torch
 from mmcv import Config, DictAction
 from mmcv.cnn import fuse_conv_bn
 from mmcv.parallel import MMDataParallel, MMDistributedDataParallel