百度云人脸识别API人脸对比

 from urllib import request
 import base64
 import requests
 import re
 import json
 import urllib
 import os

 # 获取token
 def get_token(client_id,client_secret):
     host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id='+ client_id + '&client_secret='+ client_secret + ''
     headers = {'Content-Type': 'application/json; charset=UTF-8'}
     res = requests.post(host, headers=headers)
     access_token = re.findall('"access_token":"(.*?)"', res.text)[0]
     return access_token

 # 打开文件夹
 def geturlPath(path):
     dirs = os.listdir(path)
     lst = []
     for dir1 in dirs:
         pa = path + dir1
         lst.append(pa)
     return lst

 # 打开本地图片,并转化为base64
 def open_pic2base(image):
     f = open(image,'rb')
     img = base64.b64encode(f.read()).decode('utf-8')
     return img

 # 对两张图片进行对比
 def check2pic(client_id,client_secret,image1,image2):
     request_url = "https://aip.baidubce.com/rest/2.0/face/v3/match"
     for image in image2:
         a = open_pic2base(image)
         b = base64.b64decode(a)
         params = json.dumps(
             [{"image": open_pic2base(image1), "image_type": "BASE64","quality_control": "LOW"},
              {"image": a, "image_type": "BASE64","quality_control": "LOW"}])

         # 调用接口
         access_token = get_token(client_id, client_secret)
         request_url = request_url + "?access_token=" + access_token
         params = params.encode("utf-8")
         request = urllib.request.Request(url=request_url, data=params)
         request.add_header('Content-Type', 'application/json')

         response = urllib.request.urlopen(request)
         content = response.read()
         score = 0
         if content:
             result = json.loads(content.decode('utf-8'))
             if result["error_code"] == 0:
                 score = result["result"]["score"]
                 if score > 75:
                     with open('G:/images6/'+ image.split('/')[-1],'wb') as f:
                         f.write(b)
                         f.close()
             else:
                 errors = {}
                 error_msg = result["error_msg"]
                 errors[image.split('/')[-1]] = error_msg
                 print(errors)
 if __name__ == '__main__':
     client_id = '***************'
     client_secret = '*******************'
     path = r'G:/images5/'

     image1 = 'G:\images2\gu1.jpg'
     image2 = geturlPath(path)

     # 将两张图片进行对比,得出相似分
     check2pic(client_id,client_secret,image1,image2)