Instructions to use lukasiktar11/raspberry-pi-elements-detector-rt-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use lukasiktar11/raspberry-pi-elements-detector-rt-detr with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("lukasiktar11/raspberry-pi-elements-detector-rt-detr") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 379ff57dfce44b89b9fdf90bf2a63f6c3bc22cde8fca1d20e8da18854d284ac3
- Size of remote file:
- 66.3 MB
- SHA256:
- fd9383784c009a76b463f3d0837f11230bbf0f34862a820d7a08f39a561f0194
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