Elixir and Computer Vision: Face Tracking Tutorial

The video tutorial showcases how to utilize the Evision library, which is an Elixir binding to the OpenCV (open-source computer vision) library, for face detection and tracking in live video feed. Christian Alexander, demonstrates installing the Evision package and setting up a video capture object. Using a prepackaged OpenCV model for face detection, they explain how to process video frames, convert them to grayscale for the classifier, and adjust classifier parameters through trial and error for optimal results. The tutorial highlights the capabilities of the Elixir live book — comparing its functionality favorably to Jupyter Notebook — and its inline display of images and incremental output during code execution. The video concludes with a demonstration of real-time face tracking facilitated by Phoenix LiveView-backed websockets, emphasizing the interactivity and real-time features of Elixir live book for computer vision tasks.