Instructions to use mobilint/YOLOv8l-pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv8l-pose with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv8l-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:
- ec24edae52231f74de4206e487ddd578802f4cbad27c75ba2c44b7c0a5d89fda
- Size of remote file:
- 178 MB
- SHA256:
- ee13f3ac77d8d1ea859724ff426ef2bd46eb465888cbe8a628bd6343dee6d260
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