import requests

import base64

import json

def Get_API(): #To obtain API

#注冊百度智能云臉比對接口，獲取API密鑰和秘鑰。

#client_id = 'API Key'

client_id = '******'

#client_secret = 'Secret Key'

client_secret = '******'

host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s'%(client_id,client_secret)

#構造一個函數，從服務器請求Access_token的值，并生成人臉比較API。

response=requests.get(host) #從requests.get(url)中構造一個url對象，該對象向服務器請求一個資源

access_token=eval(response.text)['access_token'] #返回請求的str的值，并取出“access_token”

request_url='https://aip.baidubce.com/rest/2.0/face/v3/match'

API = request_url + "?access_token=" + access_token #Stitching API

#API = "https://aip.baidubce.com/rest/2.0/face/v3/match"+"?access_token="+access_token

return API

def Image_coding(img1,img2): #Base64 encoding of the images

f=open(r'%s' % img1,'rb')

pic1=base64.b64encode(f.read()) #Image1 Base64 encoding

f.close()

f=open(r'%s' % img2,'rb')

pic2=base64.b64encode(f.read()) #Image2 Base64 encoding

f.close()

params=json.dumps([

{"image":str(pic1,"utf-8"),"image_type":'BASE64',"face_type":"LIVE"},

{"image":str(pic2,"utf-8"),"image_type":'BASE64',"face_type":"IDCARD"}])

#Add a "liveness_control" option to identify if the person in the picture is a real person

'''params=json.dumps([

{"image":str(pic1,"utf-8"),"image_type":'BASE64',"face_type":"LIVE","liveness_control": "HIGH"},

{"image":str(pic2,"utf-8"),"image_type":'BASE64',"face_type":"IDCARD","liveness_control": "HIGH"}])'''

return params #Return image parameters

def Image_contrast(img1,img2): #Analyze images and compare them

API=Get_API() #obtain API

params=Image_coding(img1,img2) #Base64 encoding of the images

content=requests.post(API,params).text #Requests for posts are sent as form forms

score=eval(content)['result']['score'] #Calculate the score

if score>=60: #Set the threshold

print('二人相似度得分為 %s, 是同一人的可能性極大'%str(score))

else:

print('二人相似度得分為 %s, 不是同一人的可能性極大'%str(score))

Image_contrast("ziqiwen.jpg","huangzz.jpg") #To run the program

總結

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