百度人脸识别api及face++人脸识别api测试(python)

一．百度人脸识别服务

1.官方网址：http://apistore.baidu.com/apiworks/servicedetail/464.html

2.提供的接口包括：

2.1 多人脸比对：请求多个人脸图片做比对，使用前无需人脸注册过程。即同时上传多张图片，返回结果为每对图片的比对分数

2.2 人脸识别：返回指定group中所有username的注册人脸和query人脸的相似度，返回结果按照相似度排序；人脸识别需要先在group里注册username和人脸图片，您可以使用这个功能自己实现一个小规模的人脸识别系统，比如明星脸识别、家庭成员识别等等。其实就是1对n的比对，按照比对的分数返回

2.3人脸验证：验证query人脸图片是否为指定username注册的人脸，需要先在username下注册人脸图片，其实就是1对1的比对，返回比对的分数

3.测试的接口：多人脸比对接口，不需要注册的过程，所以选择这个接口，

4.测试的数据：lfw数据集上的数据，可以去官网下载数据及pairs.txt，可以先研究一下该数据集

5.测试的代码(python)：(官网上python例子中传入的参数是有问题的)

 import base64
 import urllib
 import urllib.request
 import urllib.parse
 import time
 import json

 #所需的图片要以base64编码的形式上传二进制字符串
 def image_to_base64(image_path):
     image_data = open(image_path, "rb")
     temp = image_data.read()
     base64_data = base64.b64encode(temp)
     image_data.close()
     data_string = str(base64_data)
     data_string = data_string.strip('\'b')
     return data_string

 def compare(image1, image2):
     url = 'http://apis.baidu.com/idl_baidu/faceverifyservice/face_compare'
     reg = r'{"params": [{"cmdid": "1000", "appid": "你的apikey", "clientip": "你的ip","type": "st_groupverify", "groupid": "12345", "versionnum": "1.0.0.1", "usernames": {"name1": "name1", "name2": "name2"}, "images": {"name1": "%s", "name2": "%s"}, "cates": {"name1":"7", "name2":"7"}}], "jsonrpc": "2.0","method": "Compare"}' % (image1, image2)
     byte_data = reg.encode(encoding="utf-8")
     req = urllib.request.Request(url, data=byte_data)
     req.add_header("apikey", "你的apikey")
    #请求第一次可能会出错，重新请求一次就好了
     try:
         resp = urllib.request.urlopen(req)
         content = resp.read()
         if content:
             print(content)
         return content
     except Exception:
         resp = urllib.request.urlopen(req)
         content = resp.read()
         if content:
             print(content)
         return content

 def compare_test():
     lfw_file = open("pairs.txt")
     res_file = open("res_baidu.txt", "a+")
     count = 0
     while 1:
         image_path = "你本地的lfw图片地址"
         line = lfw_file.readline()
         if not line:
             break
         line = line.strip('\n')
         images = line.split('\t')
         if len(images) > 3:
             register_image = image_path + images[0] + "\\" + images[0] + "_"
             if len(images[1]) < 2:
                 register_image = register_image + "" + images[1] + ".jpg"
             elif len(images[1]) < 3:
                 register_image = register_image + "" + images[1] + ".jpg"
             elif len(images[1]) < 4:
                 register_image = register_image + "" + images[1] + ".jpg"
             else:
                 register_image = register_image + images[1] + ".jpg"

             verify_image = image_path + images[2] + "\\" + images[2] + "_"
             if len(images[3]) < 2:
                 verify_image = verify_image + "" + images[3] + ".jpg"
             elif len(images[3]) < 3:
                 verify_image = verify_image + "" + images[3] + ".jpg"
             elif len(images[3]) < 4:
                 verify_image = verify_image + "" + images[3] + ".jpg"
             else:
                 verify_image = verify_image + images[3] + ".jpg"
         else:
             register_image = image_path + images[0] + "\\" + images[0] + "_"
             if len(images[1]) < 2:
                 register_image = register_image + "" + images[1] + ".jpg"
             elif len(images[1]) < 3:
                 register_image = register_image + "" + images[1] + ".jpg"
             elif len(images[1]) < 4:
                 register_image = register_image + "" + images[1] + ".jpg"
             else:
                 register_image = register_image + images[1] + ".jpg"

             verify_image = image_path + images[0] + "\\" + images[0] + "_"
             if len(images[2]) < 2:
                 verify_image = verify_image + "" + images[2] + ".jpg"
             elif len(images[2]) < 3:
                 verify_image = verify_image + "" + images[2] + ".jpg"
             elif len(images[2]) < 4:
                 verify_image = verify_image + "" + images[2] + ".jpg"
             else:
                 verify_image = verify_image + images[2] + ".jpg"

         content = compare(image_to_base64(register_image), image_to_base64(verify_image))
         content = str(content)
         content = content.strip('b\'')
         content = json.loads(content)

         if (int(count/300)) % 2 == 0:
             flag = 1
         else:
             flag = 0

         if content['result']['_ret']['reslist']:
             score = content['result']['_ret']['reslist']['name2|name1']
         else:
             score = "-1"

         res_file.write(line + '\t' + score + '\t' + str(flag) + '\n')
         count += 1

     lfw_file.close()
     res_file.close()

 compare_test()

6.比对结果中会出现很多个0.00000的情况，不了解具体的原因。。。知道的兄弟求告知！！！

二．Face++人脸识别服务

1.官方网址：https://console.faceplusplus.com.cn/documents/4887586

2.提供的接口包括Detect,Compare,Search等，只研究了一下Compare接口即1对1比对的接口，测试用的数据还是lfw，该请求直接传入图片的远程url地址即可，不需要直接上传图片文件，用之前还是要注册生成apikey和apisecret(注意用试用的apikey),直接上代码：

3.Python测试代码：

 import urllib
 import urllib.request
 import urllib.parse
 import json

 def compare(image1, image2):
     url = "https://api-cn.faceplusplus.com/facepp/v3/compare"
     data = {
         'api_key': '你自己的apikey',
         'api_secret': '你自己的apisecret',
         'image_url1': image1,
         'image_url2': image2
     }
     data = urllib.parse.urlencode(data)
     data = data.encode('utf-8')
     req = urllib.request.Request(url, data=data)

     try:
         resp = urllib.request.urlopen(req)
         content = resp.read()
         if content:
             print(content)
         return content
     except Exception:
         resp = urllib.request.urlopen(req)
         content = resp.read()
         if content:
             print(content)
         return content

 def compare_test():
     lfw_file = open("pairs.txt")
     res_file = open("res_face.txt", "a+")
     count = 0
     while 1:
         image_path = "http://vis-www.cs.umass.edu/lfw/images/"
         line = lfw_file.readline()
         if not line:
             break
         line = line.strip('\n')
         images = line.split('\t')
         if len(images) > 3:
             register_image = image_path + images[0] + "/" + images[0] + "_"
             if len(images[1]) < 2:
                 register_image = register_image + "" + images[1] + ".jpg"
             elif len(images[1]) < 3:
                 register_image = register_image + "" + images[1] + ".jpg"
             elif len(images[1]) < 4:
                 register_image = register_image + "" + images[1] + ".jpg"
             else:
                 register_image = register_image + images[1] + ".jpg"

             verify_image = image_path + images[2] + "/" + images[2] + "_"
             if len(images[3]) < 2:
                 verify_image = verify_image + "" + images[3] + ".jpg"
             elif len(images[3]) < 3:
                 verify_image = verify_image + "" + images[3] + ".jpg"
             elif len(images[3]) < 4:
                 verify_image = verify_image + "" + images[3] + ".jpg"
             else:
                 verify_image = verify_image + images[3] + ".jpg"
         else:
             register_image = image_path + images[0] + "/" + images[0] + "_"
             if len(images[1]) < 2:
                 register_image = register_image + "" + images[1] + ".jpg"
             elif len(images[1]) < 3:
                 register_image = register_image + "" + images[1] + ".jpg"
             elif len(images[1]) < 4:
                 register_image = register_image + "" + images[1] + ".jpg"
             else:
                 register_image = register_image + images[1] + ".jpg"

             verify_image = image_path + images[0] + "/" + images[0] + "_"
             if len(images[2]) < 2:
                 verify_image = verify_image + "" + images[2] + ".jpg"
             elif len(images[2]) < 3:
                 verify_image = verify_image + "" + images[2] + ".jpg"
             elif len(images[2]) < 4:
                 verify_image = verify_image + "" + images[2] + ".jpg"
             else:
                 verify_image = verify_image + images[2] + ".jpg"

         content = compare(register_image, verify_image)
         content = str(content)
         content = content.strip('b\'')
         content = json.loads(content)

         if (int(count / 300)) % 2 == 0:
             flag = 1
         else:
             flag = 0

         if 'confidence' in content.keys():
             score = content['confidence']
         else:
             score = '-1'
         res_file.write(line + '\t' + str(score) + '\t' + str(flag) + '\n')

         count += 1

     lfw_file.close()
     res_file.close()
 compare_test()

4.测试结果有待分析。。