MLX-native computer vision for Apple Silicon: object detection, segmentation, and open-vocabulary grounding.
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mlx-cv
MLX-native computer vision for Apple Silicon — object detection, segmentation, and open-vocabulary grounding.
⚠️ Pre-alpha / placeholder. This release reserves the package name. The public API is not yet defined and will change without notice.
What is this?
mlx-cv aims to be the detection & segmentation layer for the MLX ecosystem — sitting alongside mlx-lm and mlx-vlm, but focused on computer-vision tasks that run natively and efficiently on Apple Silicon.
Planned model support
- SAM 3 — promptable segmentation
- LocateAnything — open-vocabulary detection / localization
- …and more detection / grounding architectures over time
Installation
pip install mlx-cv
Requires Python 3.9+ and an Apple Silicon Mac (for the eventual MLX runtime).
Status
| Stage | Status |
|---|---|
| Name reserved on PyPI | ✅ |
| Public API | 🚧 in design |
| First model port | 🚧 planned |
License
MIT © AppAutomaton
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