一.騰訊優圖

1.開發者地址：http://open.youtu.qq.com/welcome/developer

2.接入流程：按照開發者頁面的接入流程接入之后，創建應用即可獲得所需的AppID、SecretID和SecretKey這是進行接口調用必須的憑證

3.測試流程：

3.1.測試可以直接調用網絡接口，或者下載相應語言的sdk(http://open.youtu.qq.com/welcome/developer#/tool-sdk)，我采用的是下載python版本的sdk(該sdk對應的python2.x的版本)

3.2.測試的數據還是lfw的數據集，測試結果如果調用成功則獲取到比對的分數，調用失敗則將改組比對的分數設置為-1，以便后續的分析，直接上python代碼：

1 import TencentYoutuyun #這是下載的python模塊

2

3 appid = 'xxxxx' #你的appid

4 secret_id = 'xxxxx' #你的secret_id

5 secret_key = 'xxxxx' #你的secret_key

6 userid = 'test' #任意字符串

7 end_point =TencentYoutuyun.conf.API_YOUTU_END_POINT8 youtu =TencentYoutuyun.YouTu(appid, secret_id, secret_key, userid, end_point)9

10

11 defcompare_test():12 lfw_file = open("pairs.txt") #lfw的pair.txt 刪除了第一行

13 res_file = open("youtu.txt", "a+") #txt保存比對分數

14 error_code = open("error_code.txt", "a+") #測試用于保存調用出錯編碼

15 count =016 while 1:17 image_path = "xxxxxx" #你本地lfw數據的路徑

18 line =lfw_file.readline()19 if notline:20 break

21 line = line.strip('')22 images = line.split('')23 if len(images) > 3:24 register_image = image_path + images[0] + "/" + images[0] + "_"

25 if len(images[1]) < 2:26 register_image = register_image + "000" + images[1] + ".jpg"

27 elif len(images[1]) < 3:28 register_image = register_image + "00" + images[1] + ".jpg"

29 elif len(images[1]) < 4:30 register_image = register_image + "0" + images[1] + ".jpg"

31 else:32 register_image = register_image + images[1] + ".jpg"

33

34 verify_image = image_path + images[2] + "/" + images[2] + "_"

35 if len(images[3]) < 2:36 verify_image = verify_image + "000" + images[3] + ".jpg"

37 elif len(images[3]) < 3:38 verify_image = verify_image + "00" + images[3] + ".jpg"

39 elif len(images[3]) < 4:40 verify_image = verify_image + "0" + images[3] + ".jpg"

41 else:42 verify_image = verify_image + images[3] + ".jpg"

43 else:44 register_image = image_path + images[0] + "/" + images[0] + "_"

45 if len(images[1]) < 2:46 register_image = register_image + "000" + images[1] + ".jpg"

47 elif len(images[1]) < 3:48 register_image = register_image + "00" + images[1] + ".jpg"

49 elif len(images[1]) < 4:50 register_image = register_image + "0" + images[1] + ".jpg"

51 else:52 register_image = register_image + images[1] + ".jpg"

53

54 verify_image = image_path + images[0] + "/" + images[0] + "_"

55 if len(images[2]) < 2:56 verify_image = verify_image + "000" + images[2] + ".jpg"

57 elif len(images[2]) < 3:58 verify_image = verify_image + "00" + images[2] + ".jpg"

59 elif len(images[2]) < 4:60 verify_image = verify_image + "0" + images[2] + ".jpg"

61 else:62 verify_image = verify_image + images[2] + ".jpg"

63

64 content =youtu.FaceCompare(register_image, verify_image)65 error_code.write(str(content['errormsg']) + '')66 if content['errorcode'] !=0:67 score = -1

68 else:69 score = content['similarity']70

71 print(str(count))72 print(register_image)73 print(verify_image)74 print(str(score) + '')75

76 if (int(count / 300)) % 2 ==0:77 flag = 1

78 else:79 flag =080

81 res_file.write(line + '' + str(score) + '' + str(flag) + '')82 count += 1

83

84 lfw_file.close()85 res_file.close()86 error_code.close()87

88 compare_test()

二.知臉(ZKfaceOnline)

1.知臉開發者中心地址：http://zkfaceonline.com:8003/developers_doc.html

2.接入流程：注冊后可獲取到Ocp-Apim-Subscription-Key，然后再開發者管理界面注冊人臉比對數據庫，記住該數據庫的名稱，該名稱以及Ocp-Apim-Subscription-Key在后面的測試過程中都是必需的。

3.測試流程：

3.1.人臉比對分為兩個步驟：先將需要比對的兩張圖片上傳到指定接口做人臉特征的提取，如果成功則返回這兩張圖片在數據庫中faceid，然后將返回的兩個faceid提交到指定的人臉比對接口做比對，如果比對成功則會返回兩張圖片之間的相似值

3.2.具體測試代碼，如下：

1 #coding=utf-8

2 import requests #該模塊是第三方庫，可以去網上下載

3 importjson4

5

6 def get_face_id(image): #上傳一張圖片做人臉檢測，返回faceid

7 url = 'http://zkfaceonline.com:8003/face/v0/faceApimatch?detect&db&matchDB=你的數據庫名稱'

8 headers ={9 'Content-Type': 'application/octet-stream',10 'Ocp-Apim-Subscription-Key': '你自己的key',11 }12 data = open(image, "rb").read()13 try:14 res = requests.post(url, headers=headers, data=data)15 exceptException:16 res = requests.post(url, headers=headers, data=data)17

18 result = res.text.strip('this key has no database[]')19 try:20 result =json.loads(result)21 if len(result) == 1:22 res_dict =result[0]23 if "faceid" inres_dict.keys():24 print(res_dict['faceid'])25 return res_dict['faceid']26 else:27 return '-1'

28 else:29 return '-1'

30 exceptException:31 return '-1'

32

33

34 def face_compare(image1, image2): #兩張圖片做人臉比對，返回比對分數

35 face1 =get_face_id(image1)36 face2 =get_face_id(image2)37 url = 'http://zkfaceonline.com:8003/face/v0/faceApimatch?match&db&matchDB=你的數據庫名稱&faceset1=' + face1 + '&faceset2=' +face238

39 headers ={40 'Content-Type': 'application/octet-stream',41 'Ocp-Apim-Subscription-Key': '你自己的key',42 }43 try:44 res = requests.post(url, headers=headers)45 exceptException:46 res = requests.post(url, headers=headers)47

48 result = res.text.strip('this key has no database[]')49 print(res.text)50 try:51 result =json.loads(result)52 if len(result) == 1:53 res_dict =result[0]54 if 'similarity' inres_dict.keys():55 print(res_dict['similarity'])56 return res_dict['similarity']57 else:58 return -1

59 else:60 return -1

61 exceptException:62 return -1

63

64

65 defface_compare_test():66 lfw_file = open("pairs.txt")67 res_file = open("res_zk.txt", "a+")68 count =069 while 1:70 image_path = "你lfw數據集在本地的路徑"

71 line =lfw_file.readline()72 if notline:73 break

74 line = line.strip('')75 images = line.split('')76 if len(images) > 3:77 register_image = image_path + images[0] + "/" + images[0] + "_"

78 if len(images[1]) < 2:79 register_image = register_image + "000" + images[1] + ".jpg"

80 elif len(images[1]) < 3:81 register_image = register_image + "00" + images[1] + ".jpg"

82 elif len(images[1]) < 4:83 register_image = register_image + "0" + images[1] + ".jpg"

84 else:85 register_image = register_image + images[1] + ".jpg"

86

87 verify_image = image_path + images[2] + "/" + images[2] + "_"

88 if len(images[3]) < 2:89 verify_image = verify_image + "000" + images[3] + ".jpg"

90 elif len(images[3]) < 3:91 verify_image = verify_image + "00" + images[3] + ".jpg"

92 elif len(images[3]) < 4:93 verify_image = verify_image + "0" + images[3] + ".jpg"

94 else:95 verify_image = verify_image + images[3] + ".jpg"

96 else:97 register_image = image_path + images[0] + "/" + images[0] + "_"

98 if len(images[1]) < 2:99 register_image = register_image + "000" + images[1] + ".jpg"

100 elif len(images[1]) < 3:101 register_image = register_image + "00" + images[1] + ".jpg"

102 elif len(images[1]) < 4:103 register_image = register_image + "0" + images[1] + ".jpg"

104 else:105 register_image = register_image + images[1] + ".jpg"

106

107 verify_image = image_path + images[0] + "/" + images[0] + "_"

108 if len(images[2]) < 2:109 verify_image = verify_image + "000" + images[2] + ".jpg"

110 elif len(images[2]) < 3:111 verify_image = verify_image + "00" + images[2] + ".jpg"

112 elif len(images[2]) < 4:113 verify_image = verify_image + "0" + images[2] + ".jpg"

114 else:115 verify_image = verify_image + images[2] + ".jpg"

116

117 print('' +str(count))118 print(register_image)119 print(verify_image)120 score =face_compare(verify_image, register_image)121

122 if (int(count / 300)) % 2 ==0:123 flag = 1

124 else:125 flag =0126

127 res_file.write(line + '' + str(score) + '' + str(flag) + '')128 count += 1

129

130 lfw_file.close()131 res_file.close()132

133 face_compare_test()

三.性能評測

建議采用畫rock曲線的方式進行比較，可以將百度和face++的人臉比對結果畫在一張圖上進行比對

總結

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