122 lines
5.2 KiB
Python
122 lines
5.2 KiB
Python
# -*- coding: utf-8 -*-
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import time
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import sys
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import io
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from paddleocr import PaddleOCR
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from configs.basic_config import *
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from extractor.identitycard_extractor import IdentityCardExtractor
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import base64
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import json
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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class OCRRecognition:
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@staticmethod
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def extractIdCardInfo(type: int = 0, filePath1: str = "", filePath2: str = "") -> str:
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if 0 == type:
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logger.info("0 == type")
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return OCRRecognition.extractIdCardInfoByPath(filePath1, filePath2)
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elif 1 == type:
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logger.info("1 == type")
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return OCRRecognition.extractIdCardInfoByBase64Data(filePath1, filePath2)
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else:
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logger.info("type is other")
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finalResult = {"code": NO_DEFINED_FUNCTION_ERROR,
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"msg": error_codes[NO_DEFINED_FUNCTION_ERROR]}
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return json.dumps(finalResult, ensure_ascii=False)
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@staticmethod
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def extractIdCardInfoByPath(filePath1: str = "", filePath2: str = "") -> str:
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# logger.info(f"ocr加载开始计时")
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start_time = time.time() # 记录结束时间
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ocr = PaddleOCR(use_angle_cls=True, lang="ch") # need to run only once to download and load model into memory
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text = ""
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finalResult = {
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"code": LOCAL_PATH_NOT_EXIST,
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"msg": error_codes[LOCAL_PATH_NOT_EXIST],
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}
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try:
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if len(filePath1) > 0:
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if os.path.exists(filePath1):
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result = ocr.ocr(filePath1, cls=False)
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for idx in range(len(result)):
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res = result[idx]
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for line in res:
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text += (line[1][0] + '\n')
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else:
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logger.error(f"{filePath1} doesn't exist,error information:{finalResult}")
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return json.dumps(finalResult, ensure_ascii=False)
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if len(filePath2) > 0:
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if os.path.exists(filePath2):
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result = ocr.ocr(filePath2, cls=False)
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for idx in range(len(result)):
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res = result[idx]
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for line in res:
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text += (line[1][0] + '\n')
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else:
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logger.error(f"{filePath2} doesn't exist,error information:{finalResult}")
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return json.dumps(finalResult, ensure_ascii=False)
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except Exception as e:
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finalResult["code"] = OCR_RECOGNIZE_OTHER_EXCEPTION
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finalResult["msg"] = error_codes[OCR_RECOGNIZE_OTHER_EXCEPTION]
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logger.error(f"{e} ,error information:{finalResult}")
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return json.dumps(finalResult, ensure_ascii=False)
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if 0 != len(text):
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extractor = IdentityCardExtractor()
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tempdict = extractor.extract_textbyPaddle(text)
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jsonString = json.dumps(tempdict, ensure_ascii=False)
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end_time = time.time() # 记录结束时间
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execution_time = end_time - start_time # 计算执行时间
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# logger.info(f"extractIdCardInfoByPath 耗时{execution_time}秒")
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return jsonString
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else:
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finalResult["code"] = NO_TEXT_RECOGNIZED
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finalResult["msg"] = error_codes[NO_TEXT_RECOGNIZED]
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logger.error(f"{filePath1},{filePath2} can't be recognized,error information:{finalResult}")
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return json.dumps(finalResult, ensure_ascii=False)
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@staticmethod
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def extractIdCardInfoByBase64Data(base64data1: str, base64Data2: str) -> str:
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finalResult = {
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"code": BASE64_DATA_INCOMPLETE,
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"msg": error_codes[BASE64_DATA_INCOMPLETE],
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}
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# logger.info(f"extractIdCardInfoByBase64Data")
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start_time = time.time() # 记录结束时间
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jsonString = ""
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try:
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if 0 != len(base64data1):
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image_data1 = base64.b64decode(base64data1)
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with open("file1.png", "wb") as file:
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file.write(image_data1)
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if 0 != len(base64Data2):
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image_data2 = base64.b64decode(base64Data2)
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with open("file2.png", "wb") as file:
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file.write(image_data2)
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if os.path.exists("file1.png") and os.path.exists("file2.png"):
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jsonString = OCRRecognition.extractIdCardInfoByPath("file1.png", "file2.png")
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os.remove("file1.png")
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os.remove("file2.png")
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elif os.path.exists("file1.png"):
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jsonString = OCRRecognition.extractIdCardInfoByPath("file1.png", "")
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os.remove("file1.png")
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elif os.path.exists("file2.png"):
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jsonString = OCRRecognition.extractIdCardInfoByPath("file2.png", "")
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os.remove("file2.png")
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except Exception as e:
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logger.error(e)
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logger.error(f"{e},error information:{finalResult}")
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return json.dumps(finalResult, ensure_ascii=False)
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end_time = time.time() # 记录结束时间
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execution_time = end_time - start_time # 计算执行时间
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# logger.info(f"extractIdCardInfoByBase64Data 耗时{execution_time}秒")
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return jsonString
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