HAAR.js
Haar.js is a compact JavaScript library that applies the Viola-Jones algorithm for feature detection, operational in both browser and Node.js settings. It employs HTML5 canvas for visual recognition tasks such as detecting faces, eyes, and mouths. Users can convert OpenCV XML files into JavaScript or JSON formats and perform parallel computations using Parallel.js. The library supports customization through training of detection files, offers UMD-compatible loading, and includes various loading techniques.
