add yolo v10 and modify pipeline
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# DIUx xView 2018 Challenge https://challenge.xviewdataset.org by U.S. National Geospatial-Intelligence Agency (NGA)
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# -------- DOWNLOAD DATA MANUALLY and jar xf val_images.zip to 'datasets/xView' before running train command! --------
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# Documentation: https://docs.ultralytics.com/datasets/detect/xview/
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# Example usage: yolo train data=xView.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── xView ← downloads here (20.7 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/xView # dataset root dir
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train: images/autosplit_train.txt # train images (relative to 'path') 90% of 847 train images
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val: images/autosplit_val.txt # train images (relative to 'path') 10% of 847 train images
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path: ../datasets/xView # dataset root dir
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train: images/autosplit_train.txt # train images (relative to 'path') 90% of 847 train images
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val: images/autosplit_val.txt # train images (relative to 'path') 10% of 847 train images
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# Classes
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names:
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@ -76,7 +76,6 @@ names:
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58: Pylon
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59: Tower
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# Download script/URL (optional) ---------------------------------------------------------------------------------------
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download: |
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import json
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