precommit: isort (#5493)

* precommit: isort

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update isort config

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update name

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

models/common.py

@@ -18,8 +18,8 @@ from PIL import Image
 from torch.cuda import amp
 
 from utils.datasets import exif_transpose, letterbox
-from utils.general import colorstr, increment_path, make_divisible, non_max_suppression, save_one_box, \
-    scale_coords, xyxy2xywh
+from utils.general import (colorstr, increment_path, make_divisible, non_max_suppression, save_one_box, scale_coords,
+                           xyxy2xywh)
 from utils.plots import Annotator, colors
 from utils.torch_utils import time_sync
 

models/experimental.py

@@ -3,6 +3,7 @@
 Experimental modules
 """
 import math
+
 import numpy as np
 import torch
 import torch.nn as nn

models/tf.py

@@ -28,11 +28,11 @@ import torch
 import torch.nn as nn
 from tensorflow import keras
 
-from models.common import Bottleneck, BottleneckCSP, Concat, Conv, C3, DWConv, Focus, SPP, SPPF, autopad
+from models.common import C3, SPP, SPPF, Bottleneck, BottleneckCSP, Concat, Conv, DWConv, Focus, autopad
 from models.experimental import CrossConv, MixConv2d, attempt_load
 from models.yolo import Detect
-from utils.general import make_divisible, print_args, LOGGER
 from utils.activations import SiLU
+from utils.general import LOGGER, make_divisible, print_args
 
 
 class TFBN(keras.layers.Layer):

models/yolo.py

@@ -20,10 +20,10 @@ if str(ROOT) not in sys.path:
 from models.common import *
 from models.experimental import *
 from utils.autoanchor import check_anchor_order
-from utils.general import check_version, check_yaml, make_divisible, print_args, LOGGER
+from utils.general import LOGGER, check_version, check_yaml, make_divisible, print_args
 from utils.plots import feature_visualization
-from utils.torch_utils import copy_attr, fuse_conv_and_bn, initialize_weights, model_info, scale_img, \
-    select_device, time_sync
+from utils.torch_utils import (copy_attr, fuse_conv_and_bn, initialize_weights, model_info, scale_img, select_device,
+                               time_sync)
 
 try:
     import thop  # for FLOPs computation