用Python调用百度人脸识别接口

先注册百度云管理中心，然后创建应用。 

 

 

import urllib
import ssl
from urllib import request, parse
import json

# client_id 为官网获取的AK， client_secret 为官网获取的SK
def get_token():
    context = ssl._create_unverified_context()
    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=oxWSUmCiaxLARzcavNHsh4Sq&client_secret=feMOxxWatn53Gxp2IG8rpv5bR2fIKGry'
    request = urllib.request.Request(host)
    request.add_header('Content-Type', 'application/json; charset=UTF-8')
    response = urllib.request.urlopen(request, context=context)
    # 获取请求结果
    content = response.read()
    # 转换为字符
    content = bytes.decode(content)
    # 转换为字典
    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 = json.dumps(
        [{"image": str(pic1, 'utf-8'), "image_type": "BASE64", "face_type": "LIVE", "quality_control": "LOW"},
         {"image": str(pic2, 'utf-8'), "image_type": "BASE64", "face_type": "IDCARD", "quality_control": "LOW"}]
    )
    return params.encode(encoding='UTF8')


# 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/v3/detect?access_token='+token
    # 人脸对比API
    context = ssl._create_unverified_context()
    # url = 'https://aip.baidubce.com/rest/2.0/face/v3/match?access_token=' + token
    params = imgdata(file1path, file2path)

    request_url = "https://aip.baidubce.com/rest/2.0/face/v3/match"
    request_url = request_url + "?access_token="+ token
    request = urllib.request.Request(url=request_url,data=params)
    request.add_header('Content-Type', 'application/json')
    response = urllib.request.urlopen(request ,context=context)
    content = response.read()
    content = eval(content)
    # # 获得分数
    score = content['result']['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 = '/Users/cagey/pic-test/1.jpg'
    file2path = '/Users/cagey/pic-test/2.jpg'
    res = img(file1path, file2path)
    print(res)