<gh_stars>0
import cv2

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

img = cv2.imread('photo.jpg')
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_features.detectMultiScale(gray_img, scaleFactor=1.05, minNeighbors=5)

for x, y, width, height in faces:
    img = cv2.rectangle(img, (x, y), (x + width, y + height), (0, 255, 0), thickness=3)

cv2.imshow("Face", img)
cv2.waitKey(0)
cv2.destroyAllWindows()