Instructions to use dronefreak/visdrone-yolov9c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov9c 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-yolov9c") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cdc3f3a213d2867139ad1c0c9dcd370534a6da004953de6c54292302fb747e9
- Size of remote file:
- 51.6 MB
- SHA256:
- 3779fcfd6ee180327b06ba794769b360a7526e6abb806155acd0861c2f0313d5
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