python人脸对比

import sys
import ssl
from urllib import request,parse

# client_id 为官网获取的AK， client_secret 为官网获取的SK
#获取token
def get_token():
    client_id =API Key
    client_secret =Secret Key
    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s'%(client_id,client_secret)
    req = request.Request(host)
    req.add_header('Content-Type', 'application/json; charset=UTF-8')
    response = request.urlopen(req)
    #获得请求结果
    content = response.read()
    #结果转化为字符
    content = bytes.decode(content)
    #转化为字典
    content = eval(content[:-1])
    return content['access_token']

#转换图片
#读取文件内容，转换为base64编码
#二进制方式打开图文件
def imgdata(file1path,file2path):
    import base64
    f=open(r'%s' % file1path,'rb')
    pic1=base64.b64encode(f.read())
    f.close()
    f=open(r'%s' % file2path,'rb')
    pic2=base64.b64encode(f.read())
    f.close()
    #将图片信息格式化为可提交信息，这里需要注意str参数设置
    params = {"images":str(pic1,'utf-8') + ',' + str(pic2,'utf-8')}
    return params

#提交进行对比获得结果
def img(file1path,file2path):
    token = get_token()
    #人脸识别API
    #url = 'https://aip.baidubce.com/rest/2.0/face/v2/detect?access_token='+token
    #人脸对比API
    url = 'https://aip.baidubce.com/rest/2.0/face/v2/match?access_token='+token
    params = imgdata(file1path,file2path)
    #urlencode处理需提交的数据
    data = parse.urlencode(params).encode('utf-8')
    req = request.Request(url,data=data)
    req.add_header('Content-Type', 'application/x-www-form-urlencoded')
    response = request.urlopen(req)
    content = response.read()
    content = bytes.decode(content)
    content = eval(content)
    print(content)
    #获得分数
    score = content['result'][0]['score']
    if score>80:
        return '照片相似度：'+str(score)+',同一个人'
    else:
        return '照片相似度：'+str(score)+',不是同一个人'

if __name__ == '__main__':
    file1path = 'd:/ym1.jpg'
    file2path = 'd:/ym2.jpg'
    res = img(file1path,file2path)
    print(res)

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python人脸对比

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