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

cap=cv2.VideoCapture(0)

while True:
    _, 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(10)&0xff
    if k==7:
        break
cap.release()
cv2.destroyAllWindows()
