96 lines
4.1 KiB
Python
96 lines
4.1 KiB
Python
from pydantic import BaseModel, Field
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from typing import List, Dict
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import requests
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import base64
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import urllib
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import os
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from loguru import logger
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from .base_tool import BaseToolModel
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from configs.model_config import JUPYTER_WORK_PATH
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class BaiduOcrTool(BaseToolModel):
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"""
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Tips:
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百度ocr tool
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example：
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API_KEY = ""
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SECRET_KEY = ""
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image_path = ''
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ocr_result = BaiduOcrTool.run(API_KEY=API_KEY , SECRET_KEY=SECRET_KEY, image_path=image_path)
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"""
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name: str = "Baidu_orc_tool"
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description: str = """ 百度OCR手写字符识别调用器。 输入一张图片位置，返回图片中的文本"""
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class ToolInputArgs(BaseModel):
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"""Input for Multiplier."""
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image_name : str = Field(..., description="待提取文本信息的图片名称")
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class ToolOutputArgs(BaseModel):
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"""Output for Multiplier."""
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ocr_result: str = Field(..., description="OCR分析提取的自然语言文本")
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@classmethod
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def ocr_baidu_main(cls, API_KEY, SECRET_KEY, image_path):
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'''
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根据图片地址，返回OCR识别结果
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OCR的结果不仅包含了文字，也包含了文字的位置。但可以根据简单的提取方法，只将文字提前取出来
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下面是ocr的返回结果
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'{"words_result":[{"location":{"top":17,"left":33,"width":227,"height":24},"words":"手写识别测试图片样例:"},
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{"location":{"top":91,"left":190,"width":713,"height":70},"words":"每一个人的生命中,都应该有一次,"},
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{"location":{"top":177,"left":87,"width":831,"height":65},"words":"为了某个人而忘了自己,不求有结果."},
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{"location":{"top":263,"left":80,"width":842,"height":76},"words":"不求同行,不求曾经拥有,甚至不求"}],
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"words_result_num":4,"log_id":1722502064951792680}'
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'''
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url = "https://aip.baidubce.com/rest/2.0/ocr/v1/handwriting?access_token=" + BaiduOcrTool.get_access_token(API_KEY, SECRET_KEY)
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# image 可以通过 get_file_content_as_base64("C:\fakepath\ocr_input_example.png",True) 方法获取
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image = BaiduOcrTool.get_file_content_as_base64(image_path, True)
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payload = 'image=' + image + '&detect_direction=false&probability=false'
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headers = {
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'Content-Type': 'application/x-www-form-urlencoded',
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'Accept': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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s = ""
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try:
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for word_result in response.json()["words_result"]:
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s += "\n" + word_result["words"]
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except Exception as e:
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logger.exception(e)
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s = "无法识别图片内容"
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return s
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@classmethod
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def get_file_content_as_base64(cls, image_path, urlencoded=False):
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"""
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获取文件base64编码
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:param path: 文件路径
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:param urlencoded: 是否对结果进行urlencoded
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:return: base64编码信息
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"""
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with open(image_path, "rb") as f:
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content = base64.b64encode(f.read()).decode("utf8")
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if urlencoded:
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content = urllib.parse.quote_plus(content)
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return content
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@classmethod
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def get_access_token(cls, API_KEY, SECRET_KEY):
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"""
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使用 AK，SK 生成鉴权签名（Access Token）
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:return: access_token，或是None(如果错误)
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"""
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url = "https://aip.baidubce.com/oauth/2.0/token"
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params = {"grant_type": "client_credentials", "client_id": API_KEY, "client_secret": SECRET_KEY}
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return str(requests.post(url, params=params).json().get("access_token"))
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@classmethod
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def run(cls, image_name, image_path=JUPYTER_WORK_PATH, API_KEY=os.environ.get("BAIDU_OCR_API_KEY"), SECRET_KEY=os.environ.get("BAIDU_OCR_SECRET_KEY")):
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image_file = os.path.join(image_path, image_name)
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return cls.ocr_baidu_main(API_KEY, SECRET_KEY, image_file) |