Refactor YOLOv5 code for readability, maintainability, and efficiency #13117
Commits on Jun 21, 2024
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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
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Merge branch 'refactor/yolov5-improvements' of https://github.com/san…
…owl/yolov5 into refactor/yolov5-improvements
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