Add filters (background blur, etc) to your webcam on Linux.

FaceDetect is a face detection and recognition framework built in Python on top of the work of several open source projects and models with the hope to reduce the entry barrier for developers and to encourage them to focus more on developing innovative applications that make use of face detection and recognition.

This project utilizes the OpenCV and Pillow (PIL) libraries to detect faces in images and webcam feeds, marking them with rectangles. The detected faces are saved in a specified output directory. The detected faces are saved in a specified output directory.

Detecting human faces and recognizing faces and facial expressions has always been an area of interest for different applications such as games, utilities and even security. With the advancement of machine learning, the techniques of detection and recognition have become more accurate and precise than ever before.

This projects defines how to detect the faces in the webcam as well as the video files using Harr Cascade Classifier and it is fully implemented using OpenCV Python

Haar cascade classifiers detecting faces and eyes in images with OpenCV.