import numpy as np
import cv2


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


img = cv2.imread('ceo.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.3, 5)


for (x, y, h, w) in faces:
    img = cv2.rectangle(img, (x, y), (x+w, y+h), (255,0,0), 2)
    roi_gray = gray[y: y+h, x: x+w]
    roi_color = img[y: y+h, x: x+w]

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

cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
