import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt2.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
image = cv2.imread('demo.jpeg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# faces = face_cascade.detectMultiScale(gray, 1.1, 3)
faces = face_cascade.detectMultiScale(gray, 1.05, 4)

for (x, y, w, h) in faces:
    image = cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 3)
    face_rect = gray[y:y+h, x:x+w]
    eyes = eye_cascade.detectMultiScale(face_rect, 1.3, 8)

    for (ex, ey, ew, eh) in eyes:
            image = cv2.rectangle(image, (x + ex, y + ey), (x + ex + ew, y + ey + eh), (0, 255, 0), 2)

cv2.namedWindow('video', cv2.WINDOW_NORMAL)
cv2.imshow('video', image)
cv2.waitKey(0)
cv2.destroyAllWindows()