Instructions to use HanzoHuang/YOLOv10-RKNN2-Ultralytics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- YOLOv10
How to use HanzoHuang/YOLOv10-RKNN2-Ultralytics with YOLOv10:
from huggingface_hub import hf_hub_download from ultralytics import YOLOv10 # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("HanzoHuang/YOLOv10-RKNN2-Ultralytics", "<weights>.pt") model = YOLOv10(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 2,120 Bytes
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"file": "source/weights/yolov10n.pt"
},
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"file": "source/weights/yolov10s.pt"
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"file": "source/weights/yolov10x.pt"
}
]
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