import cv2

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

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

# 畫出辨識的人臉
for (x, y, w, h) in faces:
    frame = cv2.rectangle(frame, (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)
    
    # 畫出辨識的眼睛
    for (ex, ey, ew, eh) in eyes:
        frame = cv2.rectangle(frame, (x + ex, y + ey), (x + ex + ew, y + ey + eh), (0, 255, 0), 2)

cv2.namedWindow('frame', cv2.WINDOW_NORMAL)
cv2.imshow('frame', frame)

cv2.waitKey(0)
cv2.destroyAllWindows()