import sys
import ssl,urllib.request
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 = '你的AK'
    client_secret = '你的SK'
    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):
    request_url = "https://aip.baidubce.com/rest/2.0/face/v3/search"
    params = {"image":"http://www.whxsxsy.com/pic/1618070001.jpg","image_type":"URL","group_id_list":"student","quality_control":"LOW","liveness_control":"NORMAL"}
    data = parse.urlencode(params).encode('utf-8')
    access_token = get_token()
    request_url = request_url + "?access_token=" + access_token
    request = urllib.request.Request(request_url,data=data)
    request.add_header('Content-Type', 'application/json')
    response = urllib.request.urlopen(request)
    content = response.read()
    content = bytes.decode(content)
    content = eval(content)
    #获得分数
    # return content
    score = content['result']['user_list'][0]['score']
    # return 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 = 'pic/1.jpg'
    file2path = 'pic/2.jpg'
    res = img(file1path,file2path)
    print(res)

运行结果：

照片相似度：42.358661651611,不是同一个人