使用 OpenCV 与 Face++ 人脸识别

今天看到一篇文章《使用 OpenCV 与 Face++ 实现人脸解锁》，感觉挺好玩，就照着作者的讲解，写了一下。详细内容还请看原作者文章。

 # *^_^* coding:utf-8 *^_^*
 from __future__ import print_function

 __author__ = 'stone'
 __date__ = '16-4-13'

 """
 http://www.cnblogs.com/asmer-stone/p/5389383.html
 """

 import cv2
 import numpy as np
 import time
 import requests
 import os
 import mimetypes

 face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
 API_KEY = 'xxx'
 API_SECRET = 'xxx'
 BASE_URL = 'http://apicn.faceplusplus.com/v2'

 //用opencv检测人脸的函数，注释部分内容是检测并画出人脸区域。
 def detect_face():　　　　
     cap = cv2.VideoCapture(0)
     next_capture_time = time.time()
     faces = []

     if not cap.isOpened():
         print("Capture Opening ERROR!")

     while 1:
         ret, img = cap.read()

         # img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
         # if next_capture_time < time.time():
         #     next_capture_time += 0.1
         #     faces = face_cascade.detectMultiScale(img_gray, 1.3, 5)
         # if faces is not None:
         #     for x, y, w, h in faces:
         #         img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
         cv2.imshow("face_detect", img)
         k = cv2.waitKey(1) & 0xFF
         if k == ord('s'):
             cv2.imwrite("image/face2.jpg", img)　　//打开摄像头按下‘s’键即可保存图片
         if k == 27:
             break

     cap.release()
     cv2.destroyAllWindows()

 def update_img(file_dir, oneface=True):　　//上传图片到face++ 并返回face_id
     url = '%s/detection/detect?api_key=%s&api_secret=%s&attribute=none' % (BASE_URL, API_KEY, API_SECRET)
     if oneface:
         url += '&mode=oneface'
     files = {'img': (os.path.basename(file_dir), open(file_dir, 'rb'), mimetypes.guess_type(file_dir)[0])}
     r = requests.post(url, files=files)
     faces = r.json().get('face')
     if faces is None:
         print("No face")
     else:
         return faces[0]['face_id']

 def compare(faceID1, faceID2):　　//比较两张图片中的人脸的相似度函数
     url = '%s/recognition/compare?api_key=%s&api_secret=%s&face_id1=%s&face_id2=%s' % (
     BASE_URL, API_KEY, API_SECRET, faceID1, faceID2)
     r = requests.get(url)
     return r.json()

 if __name__ == "__main__":
     faceID1 = update_img('image/lena.jpg')
     faceID2 = update_img('image/17-1m.bmp')
     if faceID2 and faceID1:
         compare_json = compare(faceID1, faceID2)
         print(compare_json)
         if (compare_json['similarity'] > 90):　　//相似在90以上打印yes，否则no
             print("yes")
         else:
             print("no")
     else:
         print("Something wrong with the pictures!")

参考文献：《使用 OpenCV 与 Face++ 实现人脸解锁》：http://python.jobbole.com/84666/