OpenCV and WebRTC integration for processing live video

ContractFreelance GraphAgent

Summary

The goal of this project is to implement a server-side WebRTC application that can process images from a live video stream within a Python OpenCV context in real time. More specifically, we are looking for a Kurento WebRTC Media Server module which can integrate with a Python OpenCV application.

Here’s the gist:

  • The server-side WebRTC framework we’re using is called Kurento
  • Kurento has documentation for how to create a C++ OpenCV module here: http://doc-kurento.readthedocs.io/en/stable/mastering/develop_kurento_modules.html
  • We would like to extend the standard Kurento OpenCV module pattern by passing the C++ OpenCV data into a Python OpenCV context. There are various approaches that allow you to go from C++ OpenCV to Python OpenCV, including: embedding Python, converting Mat to Numpy, sockets, pipes, etc. Choose the approach that works best.
  • The complete setup including Kurento Media Server, the OpenCV C++ module and the OpenCV Python process should all run in a standalone Docker container. Kurento has officially supported Docker projects, so extending one of those is likely the way to go.

Required Skills

  • C++
  • Python
  • OpenCV, especially data structure implementation (i.e. Mat, Numpy, etc)
  • C++ to Python communication techniques (e.g. embedding, sockets, pipes, etc)
  • Basic familiarity with WebRTC
  • Basic familiarity with Docker

Anywhere

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