sort python imports with isort

pcdet/__init__.py

-from pathlib import Path
 import subprocess
+from pathlib import Path
 
 from .version import __version__
 
@@ -22,4 +22,3 @@ script_version = get_git_commit_number()
 
 if script_version not in __version__:
     __version__ = __version__ + '+py%s' % script_version
-

pcdet/config.py

-from easydict import EasyDict
 from pathlib import Path
+
 import yaml
+from easydict import EasyDict
 
 
 def log_config_to_file(cfg, pre='cfg', logger=None):

pcdet/datasets/__init__.py

 import torch
 from torch.utils.data import DataLoader
+from torch.utils.data import DistributedSampler as _DistributedSampler
+
+from pcdet.utils import common_utils
+
 from .dataset import DatasetTemplate
 from .kitti.kitti_dataset import KittiDataset
 from .nuscenes.nuscenes_dataset import NuScenesDataset
-from torch.utils.data import DistributedSampler as _DistributedSampler
-from pcdet.utils import common_utils
 
 __all__ = {
     'DatasetTemplate': DatasetTemplate,

pcdet/datasets/augmentor/augmentor_utils.py

 import numpy as np
+
 from ...utils import common_utils
 
 

pcdet/datasets/augmentor/data_augmentor.py

 from functools import partial
+
 import numpy as np
-from . import augmentor_utils, database_sampler
+
 from ...utils import common_utils
+from . import augmentor_utils, database_sampler
 
 
 class DataAugmentor(object):

pcdet/datasets/augmentor/database_sampler.py

-import numpy as np
 import pickle
-from ...utils import box_utils
+
+import numpy as np
+
 from ...ops.iou3d_nms import iou3d_nms_utils
+from ...utils import box_utils
 
 
 class DataBaseSampler(object):

pcdet/datasets/dataset.py

-from pathlib import Path
 from collections import defaultdict
+from pathlib import Path
+
 import numpy as np
 import torch.utils.data as torch_data
+
+from ..utils import common_utils
 from .augmentor.data_augmentor import DataAugmentor
 from .processor.data_processor import DataProcessor
 from .processor.point_feature_encoder import PointFeatureEncoder
-from ..utils import common_utils
 
 
 class DatasetTemplate(torch_data.Dataset):

pcdet/datasets/kitti/kitti_dataset.py

-import pickle
 import copy
+import pickle
+
 import numpy as np
 from skimage import io
-from ...utils import box_utils, common_utils, calibration_kitti, object3d_kitti
-from ..dataset import DatasetTemplate
+
 from ...ops.roiaware_pool3d import roiaware_pool3d_utils
+from ...utils import box_utils, calibration_kitti, common_utils, object3d_kitti
+from ..dataset import DatasetTemplate
 
 
 class KittiDataset(DatasetTemplate):
@@ -435,4 +437,3 @@ if __name__ == '__main__':
             data_path=ROOT_DIR / 'data' / 'kitti',
             save_path=ROOT_DIR / 'data' / 'kitti'
         )
-

pcdet/datasets/kitti/kitti_object_eval_python/eval.py

-import numpy as np
-import numba
 import io as sysio
+
+import numba
+import numpy as np
+
 from .rotate_iou import rotate_iou_gpu_eval
 
 

pcdet/datasets/kitti/kitti_object_eval_python/evaluate.py

 import time
+
 import fire
 
 import .kitti_common as kitti
-from .eval import get_official_eval_result, get_coco_eval_result
+from .eval import get_coco_eval_result, get_official_eval_result
 
 
 def _read_imageset_file(path):

pcdet/datasets/kitti/kitti_object_eval_python/kitti_common.py

@@ -7,6 +7,7 @@ from collections import OrderedDict
 import numpy as np
 from skimage import io
 
+
 def get_image_index_str(img_idx):
     return "{:06d}".format(img_idx)
 

pcdet/datasets/kitti/kitti_object_eval_python/rotate_iou.py

@@ -9,6 +9,7 @@ import numba
 import numpy as np
 from numba import cuda
 
+
 @numba.jit(nopython=True)
 def div_up(m, n):
     return m // n + (m % n > 0)

pcdet/datasets/nuscenes/nuscenes_dataset.py

-import pickle
 import copy
+import pickle
+from pathlib import Path
+
 import numpy as np
 from tqdm import tqdm
-from pathlib import Path
+
+from ...ops.roiaware_pool3d import roiaware_pool3d_utils
 from ...utils import common_utils
 from ..dataset import DatasetTemplate
-from ...ops.roiaware_pool3d import roiaware_pool3d_utils
 
 
 class NuScenesDataset(DatasetTemplate):

pcdet/datasets/nuscenes/nuscenes_utils.py

@@ -3,15 +3,15 @@ The NuScenes data pre-processing and evaluation is modified from
 https://github.com/traveller59/second.pytorch and https://github.com/poodarchu/Det3D
 """
 
-from pathlib import Path
-import tqdm
-import numpy as np
 import operator
 from functools import reduce
+from pathlib import Path
+
+import numpy as np
+import tqdm
+from nuscenes.utils.data_classes import Box
 from nuscenes.utils.geometry_utils import transform_matrix
 from pyquaternion import Quaternion
-from nuscenes.utils.data_classes import Box
-
 
 map_name_from_general_to_detection = {
     'human.pedestrian.adult': 'pedestrian',

pcdet/datasets/processor/data_processor.py

 from functools import partial
+
 import numpy as np
+
 from ...utils import box_utils, common_utils
 
 

pcdet/models/__init__.py

-import torch
-import numpy as np
 from collections import namedtuple
+
+import numpy as np
+import torch
+
 from .detectors import build_detector
 
 

pcdet/models/backbones_2d/__init__.py

 from .base_bev_backbone import BaseBEVBackbone
 
-
 __all__ = {
     'BaseBEVBackbone': BaseBEVBackbone
-}
+}
\ No newline at end of file

pcdet/models/backbones_2d/base_bev_backbone.py

+import numpy as np
 import torch
 import torch.nn as nn
-import numpy as np
 
 
 class BaseBEVBackbone(nn.Module):

pcdet/models/backbones_3d/__init__.py

+from .pointnet2_backbone import PointNet2Backbone, PointNet2MSG
 from .spconv_backbone import VoxelBackBone8x, VoxelResBackBone8x
 from .spconv_unet import UNetV2
-from .pointnet2_backbone import PointNet2Backbone, PointNet2MSG
 
 __all__ = {
     'VoxelBackBone8x': VoxelBackBone8x,

pcdet/models/backbones_3d/pfe/__init__.py

 from .voxel_set_abstraction import VoxelSetAbstraction
 
-
 __all__ = {
     'VoxelSetAbstraction': VoxelSetAbstraction
 }