Instructions to use dronefreak/visdrone-yolov9e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov9e 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-yolov9e") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- de2ace4edbe9b1486a51f27464384e473181e72ca3508436105143a330376dc7
- Size of remote file:
- 350 kB
- SHA256:
- abc36400657cf777f079f10befb6ad47bdcaabdb46c35a3290749066e5e10280
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