Instructions to use mobilint/YOLOv8m-pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv8m-pose with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv8m-pose", model_type="DEFAULT", model_path="", core_mode="global8", ) try: image = model.preprocess("path/to/image.jpg") output = model(image) result = model.postprocess(output) finally: model.dispose() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab7cb9de33bae930ddc98b7aef4c50d24d42892a42e641d6f10d5e70fb1fb176
- Size of remote file:
- 106 MB
- SHA256:
- b8380975207166bc810410bc61dc5b83109178b256d75369154114389c988f7c
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