import cv2

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

img=cv2.imread('ishu.jpg')

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)
cv2.waitKey()
