python调用百度人脸识别:来一次颜值评分

前言

在某公众号上偶然看到一篇文章调用百度ai进行颜值打分给班级女生打分，还挺好玩的，遂也来试试给周围认识的女性打打分~

内容

打开百度ai人脸识别-点击立即使用-登录百度帐号
新建一个应用-获取key
在这里插入图片描述
来到帮助手册
找到换取token的网址，将其写出函数形式

def gettoken():
    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=***********&client_secret=**********'
    response = requests.get(host)
    if response:
        return response.json()['access_token']

主体调用函数：

import requests

'''
人脸检测与属性分析
'''

request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"

params = "{\"image\":\"027d8308a2ec665acb1bdf63e513bcb9\",\"image_type\":\"FACE_TOKEN\",\"face_field\":\"faceshape,facetype\"}"
access_token = '[调用鉴权接口获取的token]'
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/json'}
response = requests.post(request_url, data=params, headers=headers)
if response:
    print (response.json())

这是官方源代码，稍作修改让他可以显示我当前打分的照片和成绩就够了，其他的参数暂时不需要
，照片的质量清晰度，人物角度都影响评分标准

import requests
import base64
import matplotlib.pyplot as plt # plt 用于显示图片
import matplotlib.image as mpimg # mpimg 用于读取图片
'''
换取token
'''
def gettoken():
    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=***********&client_secret=**********'
    response = requests.get(host)
    if response:
        return response.json()['access_token']
'''
人脸检测与属性分析
'''
def getscore(url):
    f=open(url,'rb')#二进制读写，转换base64
    base64_data = base64.b64encode(f.read())
    request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
    params = {
        "image":base64_data,
        "image_type":"BASE64",
        "face_field":"beauty"
    }
    request_url = request_url + "?access_token=" + gettoken()
    headers = {'content-type': 'application/json'}
    response = requests.post(request_url, data=params, headers=headers)
    if response:
        print ("经过AI大数据评分您的颜值分数为：",response.json()['result']['face_list'][0]['beauty'])
        print('百度人工智能技术支持')
        lena = mpimg.imread(url) 
        plt.imshow(lena) 
        plt.axis('off')
        plt.show()