python实现百度OCR图片识别过程解析

import base64
import requests

class CodeDemo:
  def __init__(self,AK,SK,code_url,img_path):
    self.AK=AK
    self.SK=SK
    self.code_url=code_url
    self.img_path=img_path
    self.access_token=self.get_access_token()

  def get_access_token(self):
    token_host = 'https://aip.baidubce.com/oauth/2.0/token"access_token")
    return access_token

  def getCode(self):
    header = {
      "Content-Type": "application/x-www-form-urlencoded"
    }
    def read_img():
      with open(self.img_path, "rb")as f:
        return base64.b64encode(f.read()).decode()

    image = read_img()
    response=requests.post(url=self.code_url,data={"image":image,"access_token":self.access_token},headers=header)
    return response.json()

if __name__ == '__main__':
  AK = "" # 官网获取的AK
  SK = "" # 官网获取的SK
  code_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/accurate" # 百度图片识别接口地址
  img_path=r"" # 识别图片的地址

  code_obj=CodeDemo(AK=AK,SK=SK,code_url=code_url,img_path=img_path)
  res=code_obj.getCode()
  code=res.get("words_result")[0].get("words")
  print(res)
  print(code)