Instructions to use mobilint/YOLOv8s-pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv8s-pose with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv8s-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
Commit ·
e16cf4e
1
Parent(s): 0007460
feat: add yolov8s-pose.onnx file for model tracking with Git LFS
Browse files- yolov8s-pose.onnx +3 -0
yolov8s-pose.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c307373041c0a876c87c34b9e647ae39c81a5a9475b833cea8fecd6402eca8e
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size 46782171
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