Face Detection with Haar Cascade in OpenCV

This function uses the Haar Cascade algorithm in the OpenCV library to detect faces in an image and draw rectangles around them.

Technology Stack : OpenCV, NumPy

Code Type : The type of code

Code Difficulty : Advanced

                
                    
def face_detection(image_path):
    import cv2
    import numpy as np

    # Load the pre-trained Haar Cascade face detector
    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

    # Read the image
    image = cv2.imread(image_path)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    # Detect faces in the image
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))

    # Draw rectangles around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)

    # Display the image with detected faces
    cv2.imshow('Face Detection', image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return image