Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality)
Description
The PyOpenVINO is a spin-off product from my deep learning algorithm study work. This project is aiming at neither practical performance nor rich functionalities.
PyOpenVINO can load an OpenVINO IR model (.xml/.bin) and run it.
The implementation is quite straightforward and naive. No Optimization technique is used. Thus, the code is easy to read and modify.
Supported API is quite limited, but it mimics OpenVINO IE Python API. So, you can easily read and modify the sample code too.
- Developed as a spin-off from my deep learning study work.
- Very slow and limited functionality. Not a general DL inference engine.
- Naive and straightforward code: (I hope) This is a good reference for learning deep-learning technology.
- Extensible ops: Ops are implemented as plugins. You can easily add your ops as needed.
- MNIST