add yolo v10 and modify pipeline
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset by Tianjin University
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# Documentation: https://docs.ultralytics.com/datasets/detect/visdrone/
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# Example usage: yolo train data=VisDrone.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── VisDrone ← downloads here (2.3 GB)
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# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
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path: ../datasets/VisDrone # dataset root dir
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train: VisDrone2019-DET-train/images # train images (relative to 'path') 6471 images
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val: VisDrone2019-DET-val/images # val images (relative to 'path') 548 images
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test: VisDrone2019-DET-test-dev/images # test images (optional) 1610 images
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path: ../datasets/VisDrone # dataset root dir
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train: VisDrone2019-DET-train/images # train images (relative to 'path') 6471 images
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val: VisDrone2019-DET-val/images # val images (relative to 'path') 548 images
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test: VisDrone2019-DET-test-dev/images # test images (optional) 1610 images
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# Classes
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names:
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8: bus
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9: motor
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# Download script/URL (optional) ---------------------------------------------------------------------------------------
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download: |
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import os
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