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Docstrings arguments cleanup (#3229)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-06-17 16:17:07 +02:00
committed by GitHub
parent 62916b3b0a
commit bd0f7ecf6f
93 changed files with 1104 additions and 1102 deletions
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2
ultralytics/yolo/data/annotator.py
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@ -13,7 +13,7 @@ def auto_annotate(data, det_model='yolov8x.pt', sam_model='sam_b.pt', device='',
det_model (str, optional): Pre-trained YOLO detection model. Defaults to 'yolov8x.pt'.
sam_model (str, optional): Pre-trained SAM segmentation model. Defaults to 'sam_b.pt'.
device (str, optional): Device to run the models on. Defaults to an empty string (CPU or GPU, if available).
output_dir (str, None, optional): Directory to save the annotated results.
output_dir (str | None | optional): Directory to save the annotated results.
Defaults to a 'labels' folder in the same directory as 'data'.
"""
device = select_device(device)

2
ultralytics/yolo/data/dataset.py
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@ -223,7 +223,7 @@ class ClassificationDataset(torchvision.datasets.ImageFolder):
root (str): Dataset path.
args (Namespace): Argument parser containing dataset related settings.
augment (bool, optional): True if dataset should be augmented, False otherwise. Defaults to False.
cache (Union[bool, str], optional): Cache setting, can be True, False, 'ram' or 'disk'. Defaults to False.
cache (bool | str | optional): Cache setting, can be True, False, 'ram' or 'disk'. Defaults to False.
"""
super().__init__(root=root)
if augment and args.fraction < 1.0: # reduce training fraction