precommit: yapf (#5494)

* precommit: yapf

* align isort

* fix

# Conflicts:
#	utils/plots.py

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* Update setup.cfg

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* Update setup.cfg

* Update setup.cfg

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* Update wandb_utils.py

* Update augmentations.py

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* Update yolo.py

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* Update val.py

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* simplify colorstr

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* val run fix

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* PyTorch Hub tuple fix

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detect.py

@@ -47,7 +47,8 @@ from utils.torch_utils import select_device, time_sync
 
 
 @torch.no_grad()
-def run(weights=ROOT / 'yolov5s.pt',  # model.pt path(s)
+def run(
+        weights=ROOT / 'yolov5s.pt',  # model.pt path(s)
         source=ROOT / 'data/images',  # file/dir/URL/glob, 0 for webcam
         data=ROOT / 'data/coco128.yaml',  # dataset.yaml path
         imgsz=(640, 640),  # inference size (height, width)
@@ -73,7 +74,7 @@ def run(weights=ROOT / 'yolov5s.pt',  # model.pt path(s)
         hide_conf=False,  # hide confidences
         half=False,  # use FP16 half-precision inference
         dnn=False,  # use OpenCV DNN for ONNX inference
-        ):
+):
     source = str(source)
     save_img = not nosave and not source.endswith('.txt')  # save inference images
     is_file = Path(source).suffix[1:] in (IMG_FORMATS + VID_FORMATS)