An image processing python code demonstarting basic thing that can be done with haarcascades.
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README.md
faceDetector.py
face_recognized.PNG
haarcascade_frontalface_default.xml
people.png

README.md

haarcascade-demo

An image processing python code demonstarting basic thing that can be done with haarcascades.

Haarcascade : Intro

Object Detection using Haar feature-based cascade classifiers is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images.

#Result Alt text

Alt text

Since, it's its a machine learning algorithm and the harcascade used here is basic, its not detecting some of the faces in the picture.