In [1]:

    

#importing useful libraries
import numpy as np
import cv2


    

In [2]:

    

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('frontalEyes35x16.xml')


    

In [6]:

    

cap = cv2.VideoCapture(0)


    

In [7]:

    

while True:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray, (15,15), 0)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    
    for (x,y,w,h) in faces:
        cv2.rectangle(img, (x,y), (x+w, y+h), (255,0,0), 1)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray, 1.3, 5)
        for (ey,ex,ew,eh) in eyes:
            cv2.rectangle(img, (x+ex,y+ey), (x+ex+ew, y+ey+eh), (0,255,0), 1)
            
    cv2.imshow('res', img)
    cv2.imshow('gray', gray)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break
        
cv2.destroyAllWindows()
cap.release()