YOLO-NAS-pytorch
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How to train in a format similar to yolov5
💡 Your Question
I found this class in the original repository “YoloDarknetFormatDetectionDataset”, I found that such a format is supported in its examples1, data_dir └── train/test/val ├── images │ ├─ 0001.jpg │ ├─ 0002.jpg │ └─ ... └── labels ├─ 0001.txt ├─ 0002.txt └─ ... but building a trainer does not require both train and val, Can you teach me the correct way to use it to train this type of custom dataset?
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