67 lines
2.3 KiB
Python
67 lines
2.3 KiB
Python
import os
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import sys
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import glob
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try:
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import cv2
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except :
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os.system('pip install opencv-python')
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try :
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from paddleocr import PaddleOCR , draw_ocr , download_with_progressbar
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except:
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os.system('pip install paddleocr')
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output_folder_path = 'res/'
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if not os.path.exists(output_folder_path):
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os.makedirs(output_folder_path)
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def get_pdf_files_in_directory(directory_path):
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# 确保路径存在
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if os.path.exists(directory_path) and os.path.isdir(directory_path):
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return glob.glob(os.path.join(directory_path, '**', '*.pdf'), recursive=True)
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else:
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return []
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def ocr_pdf_folder(folder_path):
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ocr = PaddleOCR ( use_angle_cls = True , lang = "ch" , page_num = 0 ) # 只需运行一次即可将模型下载并加载到内存中
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print("ppocrv4 加载完毕！！！")
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pdf_paths = get_pdf_files_in_directory(folder_path)
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print(f"共检测到 {len(pdf_paths)} 个PDF文件")
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# 打印所有PDF文件的路径
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for pdf_path in pdf_paths:
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print(f'正在处理文件：{pdf_path}')
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result = ocr.ocr (pdf_path , cls = True )
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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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print(line)
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print(f'{pdf_path} 处理完毕')
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ocr_result = ""
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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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# print(line[1][0])
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ocr_result = f"{ocr_result} {str(line[1][0])}"
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filename = os.path.splitext(os.path.basename(pdf_path))[0]
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# 构建TXT文件的完整路径
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txt_path = os.path.join('res/', f'{filename}.txt')
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# 将提取的文本写入TXT文件
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with open(txt_path, 'w', encoding='utf-8') as txt_file:
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txt_file.write(ocr_result)
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print(f'生成的txt文档保存在{txt_path}')
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# break
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# print(ocr_result)
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# with open('my_file.txt', 'a') as f:
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# # 写入字符串
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# f.write(ocr_result)
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if __name__ == "__main__":
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if len(sys.argv) > 1:
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# sys.argv[0] 是脚本名，sys.argv[1:] 是传递给脚本的参数列表
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pdf_path = sys.argv[1]
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print(f'需要处理的文件夹是：{pdf_path}')
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ocr_pdf_folder(pdf_path)
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