Ding Zhen, the Tibetan little brother who has recently exploded on the Internet, do you all know?

Ten days ago, with an innocent, clean, handsome face dominating all major short video platforms, even major TV news media rushed to report, this Tibetan guy instantly became popular! !

Netizens have different opinions on Ding Zhen's appearance. I personally feel that he is very handsome.

Today I use Baidu AI's face recognition to see how much artificial intelligence will give Ding Zhen's face value?

1. The specific process

1. Baidu AI platform application key

Enter Baidu AI open platform https://ai.baidu.com/

Enter the console and log in to the account

After entering, enter face recognition and create an application

You can see the key in my application

2.python code implementation

First, you need to get Access Token, you can check the official document

Then convert the picture to base64 encoding


defimg_to_base64(slef,path):#图片转化为
base64withopen(path,'rb')asf:image=f.read()
image_base64=str(base64.b64encode(image),encoding='utf-8')
returnimage_base64

View the main request parameters of the document

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The face_field parameter, by default only returns the face frame, probability and rotation angle. If you need to return more results, you can add it to this parameter (beauty, age, etc.).

Python complete code:

#encoding:utf8
import base64
import json
import requests

class BaiduAI:
        def__init__(self,img):
                self.AK=""#你的应用API Key
                self.SK=""#你的应用SecretKey
                self.img_src=img
                self.headers={"
                      Content-Type":"application/json; charset=UTF-8"}
        def get_AccessToken(self):
            #获取Access Token
            host='https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id='+self.AK+'&client_secret='+self.SK        
            response=requests.get(host,headers=self.headers)
            json_result=json.loads(response.text)
            if response:
                 returnjson_result['access_token']
             else:
             print(json_result)
             return 0

        def img_to_base64(slef,path):
              #图片转化为base64
              with open(path,'rb') as f:
                     image=f.read()
                     image_base64=str(base64.b64encode(image),encoding='utf-8')
              return image_base64
        def face_identification(self):
              # 人脸检测与属性分析        
              img=self.img_to_base64(self.img_src)
              request_url="https://aip.baidubce.com/rest/2.0/face/v3/detect"
              post_data={
                      "image":img,
                      "image_type":"BASE64",
                      "face_field":"gender,age,beauty,gender,race,emotion,face_shape,landmark",#包括age,beauty,expression,face_shape,gender,glasses,landmark,emotion,face_type,mask,spoofing信息
                      "face_type":"LIVE"#人脸的类型。LIVE表示生活照，IDCARD表示身份证芯片照，WATERMARK表示带水印证件照，CERT表示证件照片，默认LIVE。}
                access_token = self.get_AccessToken()
                request_url = request_url+"?access_token=" + access_token              
                response = requests.post(url=request_url,data=post_data,headers=self.headers)
json_result=json.loads(response.text)
                print(json_result)
                if json_result['error_code'] == 0:
                print("人脸表情：",json_result['result']['face_list'][0]['emotion']['type'])
                print("人物年龄：",json_result['result']['face_list'][0]['age'])
                print("人物颜值评分：",json_result['result']['face_list'][0]['beauty'])
                print("人物性别：",json_result['result']['face_list'][0]['gender']['type'])
                print("人物种族：",json_result['result']['face_list'][0]['race']['type'])
                #print("人物特征点位置：", json_result['result']['face_list'][0]['landmark72'])
        else:
              print(json_result['error_code'])
              print(json_result['error_msg'])
if __name__ == '__main__':
      imglist=['dingzhen1.jpg','dingzhen2.jpg']
      for i in range(0,len(imglist)):
            print('第{}张图片：'.format(i+1))
            demo=BaiduAI(imglist[i])
            if(demo.get_AccessToken()):
                  demo.face_identification()