import cv2 as cv
import numpy as np

face_cascade=cv.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade=cv.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml')
cap=cv.VideoCapture(0)

while cap.isOpened():
    _,frame=cap.read()
    gray=cv.cvtColor(frame,cv.COLOR_BGR2GRAY)
    faces=face_cascade.detectMultiScale(gray,1.3,5)
    for (x,y,w,h) in faces:
        cv.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
        roi_gray=gray[y:y+h,x:x+w]
        roi_color=frame[y:y+h,x:x+w]
        eyes=eye_cascade.detectMultiScale(roi_gray)
        for (ex,ey,ew,eh) in eyes:
            cv.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
    
    cv.imshow('frame',frame)
    k=cv.waitKey(1)
    if k==27:
        break
cap.release()
cv.destroyAllWindows()
        
    