matlab-integrate-pytorch-vision
Installation
SKILL.md
MPyReq MATLAB Interface Builder
Build a MATLAB interface to a Python/PyTorch model repository using the MPyReq framework.
When to Use
- User asks to interface MATLAB with a Python image processing or computer vision model (segmentation, depth estimation, object detection, image generation, super-resolution, pose estimation, optical flow, salient object detection, etc.)
- User provides a GitHub repository URL for a vision/image model and wants to call it from MATLAB
- User asks to "create an MPyReq wrapper" or "MPyReq demo" for an image/CV model
- User wants to run a pip-installable vision model library (e.g., Cellpose, SAM2, Depth-Pro, BiRefNet, StarDist) from MATLAB
When Not to Use
- General-purpose Python-MATLAB interfacing (no vision/image model involved)
- Non-vision models: NLP, audio, tabular, reinforcement learning, time-series
- Model deployment, containerization, or inference servers
- Pure MATLAB image processing workflows with no Python dependency
- Creating Python code (this skill creates MATLAB code that calls Python)