百度AI进行人脸识别

获取token

 # encoding:utf-8
import requests 

# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=填入你的AK&client_secret=填入你的SK'
response = requests.get(host)
if response:
    print(response.json())

进行人脸对比（即识别）

# encoding:utf-8

import requests

'''
将图片经过base64编码
'''

import base64
def img_to_base(img_name):
	# # opecv读图片的方法
	# import cv2
	# img = cv2.imread(img_name)
	# new_img = cv2.imencode('.png', img)[1]
	# code = str(base64.b64encode(new_img).decode())
	# # print(code)
	# return code

	# python读图片的方法
	with open(img_name,"rb") as f:  
		# b64encode是编码，b64decode是解码  
		base64_data = base64.b64encode(f.read())  
	return base64_data.decode()

one_img = img_to_base("33.png")
two_img = img_to_base("55.png")

'''
人脸对比
'''
request_url = "https://aip.baidubce.com/rest/2.0/face/v3/match"

params = [{"image": ""+one_img+"", "image_type": "BASE64", "face_type": "LIVE", "quality_control": "LOW"}, {"image": ""+two_img+"", "image_type": "BASE64", "face_type": "IDCARD", "quality_control": "LOW"}]
access_token = '你的access token'
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/json'}
response = requests.post(request_url, json=params, headers=headers)
if response:
	print(response.json())
	print (response.json()['result']['score'])