Instructions to use Anzhc/Anzhcs_YOLOs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Anzhc/Anzhcs_YOLOs with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Anzhc/Anzhcs_YOLOs") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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README.md
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YOLOs in this repo are trained with datasets that i have annotated myself, or with the help of my friends(They will be appropriately mentioned in those cases). YOLOs on open datasets will have their own pages.
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## Known Adetailer Issues
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## My Adetailer fork
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I've added some features to make Adetailer more usable and
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#### Want to request a model?
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Im open to commissions, hit me up in Discord - **anzhc**
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YOLOs in this repo are trained with datasets that i have annotated myself, or with the help of my friends(They will be appropriately mentioned in those cases). YOLOs on open datasets will have their own pages.
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## Known Adetailer Issues
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~~Ultralytics 8.3.217 updates mask handling, which breaks function in main Adetailer repo. Install Ultralytics==8.3.216 or lower. Alternatively - use forks that fix this.~~ - Fixed in main repo.
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## My Adetailer fork
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I've added some features to make Adetailer more usable and less manual - https://github.com/Anzhc/aadetailer-reforge
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#### Want to request a model?
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Im open to commissions, hit me up in Discord - **anzhc**
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