import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
img = cv2.imread('test.png')



gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces =face_cascade.detectMultiScale(gray, 1.1, 4)

for (x, y, w, h) in faces:
    cv2.rectangle(img, (x,y), (x+w,y+h), (255, 0, 0), 3)

#Display the output
cv2.imshow('img', img)
cv2.waitKey()

