#!/usr/bin/env python3

import cv2

img = cv2.imread('face.png')

gray_image = cv2.cvtColor(img, 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(img, (x, y), (x + w, y + h), (0, 255, 0), 2)

img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

cv2.imshow('Face Detector', img_rgb)
cv2.waitKey(0)
cv2.destroyAllWindows()
