
import cv2
import numpy as np

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

cap=cv2.VideoCapture(0)

while True:
    ret,img=cap.read()
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray,1.3,5)
    for (x,y,w,h) in faces:
        cv2.rectangle(img,(x,y), (x+w, y+h), (225,0,0), 2)
        roi_color=gray[y:y+h, x:x+w]
        roi_color=gray[y:y+h, x:x+w]

        eyes= eye_cascade.detectMultiScale(roi_color)
        
        for (ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color, (ex,ey),(ex+ew,ey+eh), (0,255,0),2)


    cv2.imshow('img',img)
    k=cv2.waitKey(30) &0xff
    if k==27:
        break
    
cap.release()
cv2.destroyAllWindows()
