face_detect_python3.py

import cv2


def main():
    image_path = 'test1.jpg'
    casc_path = 'haarcascade_frontalface_default.xml'
    face_cascade = cv2.CascadeClassifier(casc_path)
    # 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=1.25,
        minNeighbors=2,
        minSize=(30, 30),
    )
    print('Found {0} faces!'.format(len(faces)))
    # Draw a rectangle around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)

    cv2.imshow("Faces found", image)
    cv2.imwrite("face_detection.jpg", image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


if __name__ == '__main__':
    main()