Hey everyone! I just created a new runtime for Open Neural Network Exchange (ONNX) models called ONNXCV.

Basically, you can inference ONNX models for realtime computer vision applications (i.e. image classification and object detection) without having to write boilerplate code. It is useful in the sense that one can focus on making deep learning models using any deep learning library (that converts models into the ONNX file format), without having to sacrifice time into building the actual inferencing program.

Let me know what you think and if I should continue to build upon this (or not).

Here is the code.