#!/usr/bin/env python3

import cv2

camera = cv2.VideoCapture(2)

while True:
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

    result, image = camera.read()

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

    face_classifier = cv2.CascadeClassifier(
        cv2.data.haarcascades + 'haarcascade_frontalface_default.xml'
    )

    face = face_classifier.detectMultiScale(
        gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(40, 40)
    )

    for x, y, w, h in face:
        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)

    cv2.imshow('Face Realtime Detector', image)

camera.release()
cv2.destroyAllWindows()