Instructions to use dronefreak/visdrone-yolov9s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov9s with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("dronefreak/visdrone-yolov9s") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c63f5225626bc81d6a00b1c448cb34ae8012deb1969f88c35993b02d1c94371c
- Size of remote file:
- 15.2 MB
- SHA256:
- cdb0a4f35e8c546e7cbd11655658c733d7023821eb37e8643a508de821d1fdc6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.