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Refactor YOLOv5 code for readability, maintainability, and efficiency #13117

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Refactor YOLOv5 code for readability, maintainability, and efficiency #13117

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Commits on Jun 21, 2024

  1. Refactor YOLOv5 code for readability, maintainability, and efficiency

    @sanowl
    sanowl committed Jun 21, 2024
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  2. Auto-format by https://ultralytics.com/actions

    @UltralyticsAssistant
    UltralyticsAssistant committed Jun 21, 2024
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  3. Implement YOLOv5 model with training pipeline - Add core YOLOv5 archi… 

    …tecture (Conv, Bottleneck, C3, SPPF, Detect) - Implement custom loss function (YOLOLoss) - Add utility functions (bbox_iou, non_max_suppression, xywh2xyxy) - Create basic training loop and data loading structure - Set up main function with argument parsing for easy execution
    @sanowl
    sanowl committed Jun 21, 2024
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  4. Merge branch 'refactor/yolov5-improvements' of https://github.com/san… 

    …owl/yolov5 into refactor/yolov5-improvements
    @sanowl
    sanowl committed Jun 21, 2024
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  5. Auto-format by https://ultralytics.com/actions

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    UltralyticsAssistant committed Jun 21, 2024
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Commits on Jun 22, 2024

  1. Merge branch 'master' into refactor/yolov5-improvements

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    UltralyticsAssistant committed Jun 22, 2024
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Commits on Jun 30, 2024

  1. Merge branch 'master' into refactor/yolov5-improvements

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    UltralyticsAssistant committed Jun 30, 2024
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  2. Merge branch 'master' into refactor/yolov5-improvements

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    UltralyticsAssistant committed Jun 30, 2024
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  3. Merge branch 'master' into refactor/yolov5-improvements

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    UltralyticsAssistant committed Jun 30, 2024
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