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:
- 2eff3d300175ce063a967914a72adff0089a37771c988fea4039bbd8541fbe47
- Size of remote file:
- 58 MB
- SHA256:
- 34032b40af47227e6378798066984cddbda49bd22d65368c2a2075ed4deac283
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