Add docstrings to YOLOv5 functions (#12760)
* Add docstrings to top level files * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Add docstrings * Auto-format by https://ultralytics.com/actions * Update activations.py Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Auto-format by https://ultralytics.com/actions --------- Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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@@ -76,6 +76,7 @@ GIT_INFO = check_git_info()
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def train(opt, device):
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"""Trains a YOLOv5 model, managing datasets, model optimization, logging, and saving checkpoints."""
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init_seeds(opt.seed + 1 + RANK, deterministic=True)
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save_dir, data, bs, epochs, nw, imgsz, pretrained = (
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opt.save_dir,
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@@ -306,6 +307,9 @@ def train(opt, device):
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def parse_opt(known=False):
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"""Parses command line arguments for YOLOv5 training including model path, dataset, epochs, and more, returning
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parsed arguments.
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"""
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parser = argparse.ArgumentParser()
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parser.add_argument("--model", type=str, default="yolov5s-cls.pt", help="initial weights path")
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parser.add_argument("--data", type=str, default="imagenette160", help="cifar10, cifar100, mnist, imagenet, ...")
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@@ -333,7 +337,7 @@ def parse_opt(known=False):
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def main(opt):
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# Checks
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"""Executes YOLOv5 training with given options, handling device setup and DDP mode; includes pre-training checks."""
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if RANK in {-1, 0}:
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print_args(vars(opt))
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check_git_status()
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@@ -357,7 +361,11 @@ def main(opt):
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def run(**kwargs):
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# Usage: from yolov5 import classify; classify.train.run(data=mnist, imgsz=320, model='yolov5m')
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"""
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Executes YOLOv5 model training or inference with specified parameters, returning updated options.
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Example: from yolov5 import classify; classify.train.run(data=mnist, imgsz=320, model='yolov5m')
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"""
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opt = parse_opt(True)
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for k, v in kwargs.items():
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setattr(opt, k, v)
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