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import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

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cap = cv2.VideoCapture(0)

while True:

ret, img = cap.read()

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), 2)

cv2.imshow('img', img)

k = cv2.waitKey(30) & 0xff

if k == 27:

break

cap.release()

cv2.destroyAllWindows()