Step 1: Set up
First, let’s set up the required libraries. OpenCV is the first library we’ll use for picture processing, and we’ll additionally have to obtain a pre-trained Haar Cascade classifier.
pip set up opencv-python
To verify if OpenCV is put in accurately, run the next command in your Python surroundings:
import cv2
print(cv2.__version__)
It is best to see the OpenCV model quantity printed, confirming that it’s put in.
Step 2: Understanding Haar Cascade Classifiers
Haar Cascade is an object detection methodology that makes use of machine studying to detect objects in pictures. It was proposed by Paul Viola and Michael Jones of their paper “Fast Object Detection utilizing a Boosted Cascade of Easy Options” in 2001.
The algorithm wants a number of optimistic pictures (pictures of objects to be detected) and destructive pictures (pictures with out objects) to coach the classifier. After coaching, it may be used to detect the article in different pictures.