基于Opencv自有模型识别人脸与人眼

#!/usr/bin/python
# -*- coding: utf-8 -*-
import cv2
face_cascade = cv2.CascadeClassifier("D:/Open-cv/opencv/build/etc/haarcascades/haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("D:/Open-cv/opencv/build/etc/haarcascades/haarcascade_eye.xml")
cap = cv2.VideoCapture(1)
while True:
    ret, frame = cap.read()
    i = frame
    # print i.shape
    gray = cv2.cvtColor(i, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    
    l = len(faces)
    print (l)
    for (x, y, w, h) in faces:
        cv2.rectangle(i, (x, y), (x + w, y + h), (255, 0, 0), 2)
        # cv2.putText(i,'face',(w/2+x,y-h/5),cv2.FONT_HERSHEY_PLAIN,2.0,(255,255,255),2,1)
        roi_gray = gray[y:y + h, x:x + w]
        roi_color = i[y:y + h, x:x + w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
            cv2.putText(i, "face count", (20, 20), cv2.FONT_HERSHEY_PLAIN, 2.0, (255, 255, 255), 2, 1)
            cv2.putText(i, str(l), (230, 20), cv2.FONT_HERSHEY_PLAIN, 2.0, (255, 255, 255), 2, 1)
    cv2.imshow("rstp", i)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        exit(0)