這篇文章主要爲大家詳細介紹了Python3實現騰訊雲OCR識別,具有一定的參考價值,感興趣的小夥伴們可以參考一下
廢話不多說,在網上找了下騰訊雲OCR識別的,示例不多,用Python的還是Python2.7,花了點時間改成Python3的。
先上圖,騰訊自己的示例圖:
下面是代碼:
import requests import hmac import hashlib import base64 import time import random import re appid = "你自己的appid" bucket = " 這個是優圖上面的,可以不填" #參考本文開頭提供的鏈接 secret_id = "填自己的" #參考官方文檔 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 = base64.b64encode(signindex + bytes(info,'utf-8')) # base64轉碼,也可以用下面那行轉碼 #sign=base64.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":"(.*?)"' # 做一個正則匹配 result = re.findall(r_index, data) for i in result: print(i)
以上就是本文的全部內容,希望對大家的學習有所幫助,也希望大家多多支持神馬文庫。