网站主机教程,WordPress建站维护服务,项目外包和人力外包哪个好,建筑铝模板多少钱一平方米此项目是针对PDF、docx、doc、PPT四种非结构化数据进行解析#xff0c;识别里面的文本和图片。 代码结构 ├── Dockerfile ├── requirements ├── resluts ├── test_data │ ├── 20151202033304658.pdf │ ├── 2020_World_Energy_Data.pdf │ ├── …此项目是针对PDF、docx、doc、PPT四种非结构化数据进行解析识别里面的文本和图片。 代码结构 ├── Dockerfile ├── requirements ├── resluts ├── test_data │ ├── 20151202033304658.pdf │ ├── 2020_World_Energy_Data.pdf │ ├── 2022110404_pdf.docx │ ├── 2022110404_pdf.pdf │ ├── H3_AP201701200282787162_01.pdf │ ├── H3_AP202205271568109307_1.pdf │ ├── H3_AP202205271568109307_1.pptx │ ├── test.pdf │ ├── test.pptx │ ├── test_table.pdf │ └── test_word.docx ├── Unstr_ApiSever.py ###----------API服务 ├── Unstructured_PDF_Operation_Code.py ├── Unstructured_PPT_Operation_Code.py ├── Unstructured_Word_Operation_Code.pyPDF操作 部分代码展示 import fitz,os doc fitz.open(./test_data/2022110404_pdf.pdf) def func(doc):for i in range(len(doc)):imglist doc.getPageImageList(i)for j, img in enumerate(imglist):xref img[0]pix fitz.Pixmap(doc, xref) # make pixmap from imageif pix.n - pix.alpha 4: # can be saved as PNGpix.writePNG(p%s-%s.png % (i 1, j 1))else: # CMYK: must convert firstpix0 fitz.Pixmap(fitz.csRGB, pix)pix0.writePNG(p%s-%s.png % (i 1, j 1))pix0 None # free Pixmap resourcespix None # free Pixmap resourcesif __name__ __main__:func(docfitz.open(./test_data/2022110404_pdf.pdf)) # input the path of pdf filefunc1(./test_data) # input the path of pdf file pdf_path ./test_data/2022110404_pdf.pdfdoc fitz.open(pdf_path)num_pages doc.page_count# Text info of PDFfor page_index in range(num_pages):page doc.load_page(page_index)text page.get_text()print(f第{page_index 1}页的文本内容为\n{text}\n)结果如下 word操作 import docx import os, re from docx import Documentclass Word:Word操作def Word_get_pictures(self,infile):try:in_File infile.split(/)[2][:-5] ##---------Word名称new_filepath os.path.join(%s/%s) % (./resluts, in_File)doc docx.Document(infile)dict_rel doc.part._relsfor rel in dict_rel:rel dict_rel[rel]if image in rel.target_ref:if not os.path.exists(new_filepath):os.makedirs(new_filepath)img_name re.findall(/(.*), rel.target_ref)[0]word_name os.path.splitext(new_filepath)[0]if os.sep in word_name:new_name word_name.split(\\)[-1]else:new_name word_name.split(/)[-1]img_name f{new_name}- - f{img_name}with open(f{new_filepath}/{img_name}, wb) as f:f.write(rel.target_part.blob)except:passdef Word_Get_txt(self,infile):in_File infile.split(/)[2][:-5] ##---------Word名称new_filepath os.path.join(%s/%s) % (./resluts, in_File)document Document(infile)all_paragraphs document.paragraphsall_tables document.tableswith open(os.path.join(%s/%s.txt) % (new_filepath, resluts), w, encodingutf-8) as f:for paragraph in all_paragraphs:# print(paragraph.text.replace( , ).replace( , ))f.write(paragraph.text.replace( , ).replace( , ))for table in all_tables:for row in table.rows:for cell in row.cells:f.write(cell.text)# print(cell.text) # 打印 if __name__ __main__:# 获取文件夹下的word文档列表,路径自定义# os.chdir(./test_data/2022110404_pdf.docx)Word().Word_get_pictures(./test_data/2022110404_pdf.docx)Word().Word_Get_txt(./test_data/2022110404_pdf.docx)结果如下 PPT操作 import os from zipfile import ZipFile from pptx import Presentation from docx import Documentclass PPT:def PPT_get_pictrue(self,infile):in_File infile.split(/)[2][:-5] new_filepath os.path.join(%s/%s) % (./resluts, in_File)if not os.path.exists(new_filepath):os.makedirs(new_filepath)with ZipFile(infile) as f:for file in f.namelist():if file.startswith(ppt/media/):f.extract(file, pathnew_filepath)return new_filepathdef PPT_get_words_to_txt(self,inpath, outpath):m_ppt Presentation(inpath)# print(len(m_ppt.slides))with open(os.path.join(%s/%s.txt) % (outpath, resluts), w, encodingutf-8) as f:for slide in m_ppt.slides: for shape in slide.shapes:if not shape.has_text_frame: continuefor paragraph in shape.text_frame.paragraphs: for content in paragraph.runs:f.write(content.text \n)def PPT_get_words_to_docx(self,filepath,save_path):wordfile Document()pptx Presentation(filepath)for slide in pptx.slides:for shape in slide.shapes:if shape.has_text_frame:text_frame shape.text_framefor paragraph in text_frame.paragraphs:wordfile.add_paragraph(paragraph.text)wordfile.save(save_path)if __name__ __main__:infile ./test_data/OpenCV算法解析.pptxnew_infilePPT().PPT_get_pictrue(infile)PPT().PPT_get_words_to_txt(infile,new_infile)结果如下