Implementing Viola Jones Algorithm using Python and Numba

Viola Jones Cascade Classifier Training

This repository provides a Python implementation for training a cascade classifier using Viola-Jones algorithm. The code has been optimized using Numba’s Just in Time compilation to run almost as fast as the C++ implementation provided by OpenCV. There is no efficient Python-based implementation available on Github, and this repo can be used by researchers and practitioners who want to experiment with training cascade classifiers.

For data preparation, and training and detection usage details, please check the Github repository.

Fig. Detections on the FDDB dataset