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
| tags: | |
| - detection | |
| - rt-detr | |
| - ultralytics | |
| license: agpl-3.0 | |
| # raspberry-pi-elements-detector-rt-detr | |
| RT-DETR model trained to perform the Arduino Uno element detection on images. Part of the ComputerVisionAIHub catalog. | |