Python3实现腾讯云OCR识别

import requests
import hmac
import hashlib
import  64
import time
import random
import re


appid = \"你自己的appid\"
bucket = \" 这个是优图上面的，可以不填\" #参考本文开头提供的链接
secret_id = \"填自己的\" #参考官方文档
secret_key = \"填自己的\" #同上
expired = time.time() + 2592000
onceExpired = 0
current = time.time()
rdm = \'\'.join(random.choice(\"0123456789\") for i in range(10))
userid = \"0\"
fileid = \"tencentyunSignTest\"

info = \"a=\" + appid + \"&b=\" + bucket + \"&k=\" + secret_id + \"&e=\" + str(expired) + \"&t=\" + str(current) + \"&r=\" + str(
 rdm) + \"&u=0&f=\"

signindex = hmac.new(bytes(secret_key,\'utf-8\'),bytes(info,\'utf-8\'), hashlib.sha1).digest() # HMAC-SHA1加密
sign =  64.b64encode(signindex + bytes(info,\'utf-8\')) #  64转码，也可以用下面那行转码
#sign= 64.b64encode(signindex+info.encode(\'utf-8\'))

url = \"http://recognition.image.myqcloud.com/ocr/general\"
headers = {\'Host\': \'recognition.image.myqcloud.com\',
   \"Authorization\": sign,
   }
files = {\'appid\': (None,appid),
 \'bucket\': (None,bucket),
 \'image\': (\'1.jpg\',open(\'D:/codes/images/form.jpg\',\'rb\'),\'image/jpeg\')
 }  

r = requests.post(url, files=files,headers=headers)

responseinfo = r.content
data = responseinfo.decode(\'utf-8\')

r_index = r\'itemstring\":\"(.*?)\"\' # 做一个正则匹配
result = re.findall(r_index, data)
for i in result:

 print(i)