一.腾讯优图
1.开发者地址：http://open.youtu.qq.com/welcome/developer
2.接入流程：按照开发者页面的接入流程接入之后，创建应用即可获得所需的AppID、SecretID和SecretKey这是进行接口调用必须的凭证
3.测试流程：
3.1.测试可以直接调用网络接口，或者下载相应语言的sdk(http://open.youtu.qq.com/welcome/developer#/tool-sdk)，我采用的是下载python版本的sdk(该sdk对应的python2.x的版本)
3.2.测试的数据还是lfw的数据集，测试结果如果调用成功则获取到比对的分数，调用失败则将改组比对的分数设置为-1，以便后续的分析，直接上python代码：
import TencentYoutuyun # 这是下载的python模块
appid = 'xxxxx' # 你的appid
secret_id = 'xxxxx' #你的secret_id
secret_key = 'xxxxx' #你的secret_key
userid = 'test' # 任意字符串
end_point = TencentYoutuyun.conf.API_YOUTU_END_POINT
youtu = TencentYoutuyun.YouTu(appid, secret_id, secret_key, userid, end_point)
def compare_test():
lfw_file = open("pairs.txt") # lfw的pair.txt 删除了第一行
res_file = open("youtu.txt", "a+") # txt保存比对分数
error_code = open("error_code.txt", "a+") # 测试用于保存调用出错编码
count = 0
while 1:
image_path = "xxxxxx" # 你本地lfw数据的路径
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 = youtu.FaceCompare(register_image, verify_image)
error_code.write(str(content['errormsg']) + '\n')
if content['errorcode'] != 0:
score = -1
else:
score = content['similarity']
print(str(count))
print(register_image)
print(verify_image)
print(str(score) + '\n')
if (int(count / 300)) % 2 == 0:
flag = 1
else:
flag = 0
res_file.write(line + '\t' + str(score) + '\t' + str(flag) + '\n')
count += 1
lfw_file.close()
res_file.close()
error_code.close()
compare_test()
二.知脸(ZKfaceOnline)
1.知脸开发者中心地址：http://zkfaceonline.com:8003/developers_doc.html
2.接入流程：注册后可获取到Ocp-Apim-Subscription-Key，然后再开发者管理界面注册人脸比对数据库，记住该数据库的名称，该名称以及Ocp-Apim-Subscription-Key在后面的测试过程中都是必需的。
3.测试流程：
3.1.人脸比对分为两个步骤：先将需要比对的两张图片上传到指定接口做人脸特征的提取，如果成功则返回这两张图片在数据库中faceid，然后将返回的两个faceid提交到指定的人脸比对接口做比对，如果比对成功则会返回两张图片之间的相似值
3.2.具体测试代码，如下：
# coding=utf-8
import requests #该模块是第三方库，可以去网上下载
import json
def get_face_id(image): #上传一张图片做人脸检测，返回faceid
url = 'http://zkfaceonline.com:8003/face/v0/faceApimatch?detect&db&matchDB=你的数据库名称'
headers = {
'Content-Type': 'application/octet-stream',
'Ocp-Apim-Subscription-Key': '你自己的key',
}
data = open(image, "rb").read()
try:
res = requests.post(url, headers=headers, data=data)
except Exception:
res = requests.post(url, headers=headers, data=data)
result = res.text.strip('this key has no database[]')
try:
result = json.loads(result)
if len(result) == 1:
res_dict = result[0]
if "faceid" in res_dict.keys():
print(res_dict['faceid'])
return res_dict['faceid']
else:
return '-1'
else:
return '-1'
except Exception:
return '-1'
def face_compare(image1, image2): #两张图片做人脸比对，返回比对分数
face1 = get_face_id(image1)
face2 = get_face_id(image2)
url = 'http://zkfaceonline.com:8003/face/v0/faceApimatch?match&db&matchDB=你的数据库名称&faceset1=' + face1 + '&faceset2=' + face2
headers = {
'Content-Type': 'application/octet-stream',
'Ocp-Apim-Subscription-Key': '你自己的key',
}
try:
res = requests.post(url, headers=headers)
except Exception:
res = requests.post(url, headers=headers)
result = res.text.strip('this key has no database[]')
print(res.text)
try:
result = json.loads(result)
if len(result) == 1:
res_dict = result[0]
if 'similarity' in res_dict.keys():
print(res_dict['similarity'])
return res_dict['similarity']
else:
return -1
else:
return -1
except Exception:
return -1
def face_compare_test():
lfw_file = open("pairs.txt")
res_file = open("res_zk.txt", "a+")
count = 0
while 1:
image_path = "你lfw数据集在本地的路径"
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"
print('\n' + str(count))
print(register_image)
print(verify_image)
score = face_compare(verify_image, register_image)
if (int(count / 300)) % 2 == 0:
flag = 1
else:
flag = 0
res_file.write(line + '\t' + str(score) + '\t' + str(flag) + '\n')
count += 1
lfw_file.close()
res_file.close()
face_compare_test()
三.性能评测
建议采用画rock曲线的方式进行比较，可以将百度和face++的人脸比对结果画在一张图上进行比对