import cv2

image_path = './Assets/girl_faces.png'
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')


def viewImage(image, name_of_window):
    cv2.namedWindow(name_of_window, cv2.WINDOW_NORMAL)
    cv2.imshow(name_of_window, image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


if __name__ == '__main__':
    image = cv2.imread(image_path)

    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    faces = face_cascade.detectMultiScale(
        gray,
        scaleFactor=1.1,
        minNeighbors=5,
        minSize=(10, 10),
    )

    faces_detected_string = 'Лиц обнаружено: ' + format(len(faces))
    print(faces_detected_string)

    # Рисуем квадраты вокруг лиц
    for x, y, w, h in faces:
        cv2.rectangle(image, (x, y), (x + w, y + h), (255, 255, 0), 2)

    viewImage(image, faces_detected_string)