百度云人脸识别API人脸库管理

 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,进行对比
 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

 def search(image3,client_id,client_secret,groups):
     request_url = "https://aip.baidubce.com/rest/2.0/face/v3/search"
     for image in image3:
         a = open_pic2base(image)
         params =json.dumps({"image":a,"image_type":"BASE64","group_id_list":groups})
         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()
         user = 'not find'
         if content:
             result = json.loads(content.decode('utf-8'))
             print(result)
             if result['error_code']==0:
                 lst = []
                 sets = {}
                 user=result['result']['user_list'][0]
                 group_id = user["group_id"]
                 user_id=user['user_id']
                 score = user['score']
                 sets["所在组为"] = group_id
                 sets["相似用户为"] = user_id
                 sets["相似得分为"] = score
                 lst.append(sets)
                 print(lst)
                 if score > 85:
                     add_face2ku = face_add(image,group_id,user_id)
                 else:
                   pass

 def face_add(image,group_id,user_id):
     request_url = 'https://aip.baidubce.com/rest/2.0/face/v3/faceset/user/add'
     params = json.dumps({"image":open_pic2base(image),"image_type":"BASE64","group_id":group_id,"user_id":user_id})
     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)
     return response

 if __name__ == '__main__':
     client_id = '*********************'
     client_secret = '*********************'
     path = r'G:/images5/'

     image3 = geturlPath(path)

     # 将图片与图片库进行对比,传入指定的组
     search(image3, client_id, client_secret, 'actor')