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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@@ -166,6 +166,7 @@ def run(
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# Create or append to the CSV file
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def write_to_csv(image_name, prediction, confidence):
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"""Writes prediction data for an image to a CSV file, appending if the file exists."""
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data = {"Image Name": image_name, "Prediction": prediction, "Confidence": confidence}
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with open(csv_path, mode="a", newline="") as f:
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writer = csv.DictWriter(f, fieldnames=data.keys())
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@@ -264,6 +265,7 @@ def run(
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def parse_opt():
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"""Parses command-line arguments for YOLOv5 detection, setting inference options and model configurations."""
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parser = argparse.ArgumentParser()
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parser.add_argument("--weights", nargs="+", type=str, default=ROOT / "yolov5s.pt", help="model path or triton URL")
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parser.add_argument("--source", type=str, default=ROOT / "data/images", help="file/dir/URL/glob/screen/0(webcam)")
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@@ -300,6 +302,7 @@ def parse_opt():
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def main(opt):
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"""Executes YOLOv5 model inference with given options, checking requirements before running the model."""
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check_requirements(ROOT / "requirements.txt", exclude=("tensorboard", "thop"))
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run(**vars(opt))
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