pdf_parse_by_ocr.py 6.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172
  1. import os
  2. import time
  3. from loguru import logger
  4. from magic_pdf.libs.commons import read_file, join_path, fitz, get_img_s3_client, get_delta_time, get_docx_model_output
  5. from magic_pdf.libs.coordinate_transform import get_scale_ratio
  6. from magic_pdf.libs.safe_filename import sanitize_filename
  7. from magic_pdf.pre_proc.detect_footer_by_model import parse_footers
  8. from magic_pdf.pre_proc.detect_footnote import parse_footnotes_by_model
  9. from magic_pdf.pre_proc.detect_header import parse_headers
  10. from magic_pdf.pre_proc.detect_page_number import parse_pageNos
  11. from magic_pdf.pre_proc.ocr_detect_layout import layout_detect
  12. from magic_pdf.pre_proc.ocr_dict_merge import merge_spans_to_line, remove_overlaps_min_spans
  13. from magic_pdf.pre_proc.ocr_remove_spans import remove_spans_by_bboxes
  14. def construct_page_component(page_id, blocks, layout_bboxes):
  15. return_dict = {
  16. 'preproc_blocks': blocks,
  17. 'page_idx': page_id,
  18. 'layout_bboxes': layout_bboxes,
  19. }
  20. return return_dict
  21. def parse_pdf_by_ocr(
  22. pdf_path,
  23. s3_pdf_profile,
  24. pdf_model_output,
  25. book_name,
  26. pdf_model_profile=None,
  27. image_s3_config=None,
  28. start_page_id=0,
  29. end_page_id=None,
  30. debug_mode=False,
  31. ):
  32. pdf_bytes = read_file(pdf_path, s3_pdf_profile)
  33. save_tmp_path = os.path.join(os.path.dirname(__file__), "../..", "tmp", "unittest")
  34. book_name = sanitize_filename(book_name)
  35. md_bookname_save_path = ""
  36. if debug_mode:
  37. save_path = join_path(save_tmp_path, "md")
  38. pdf_local_path = join_path(save_tmp_path, "download-pdfs", book_name)
  39. if not os.path.exists(os.path.dirname(pdf_local_path)):
  40. # 如果目录不存在,创建它
  41. os.makedirs(os.path.dirname(pdf_local_path))
  42. md_bookname_save_path = join_path(save_tmp_path, "md", book_name)
  43. if not os.path.exists(md_bookname_save_path):
  44. # 如果目录不存在,创建它
  45. os.makedirs(md_bookname_save_path)
  46. with open(pdf_local_path + ".pdf", "wb") as pdf_file:
  47. pdf_file.write(pdf_bytes)
  48. pdf_docs = fitz.open("pdf", pdf_bytes)
  49. # 初始化空的pdf_info_dict
  50. pdf_info_dict = {}
  51. img_s3_client = get_img_s3_client(save_path, image_s3_config)
  52. start_time = time.time()
  53. remove_bboxes = []
  54. end_page_id = end_page_id if end_page_id else len(pdf_docs) - 1
  55. for page_id in range(start_page_id, end_page_id + 1):
  56. # 获取当前页的page对象
  57. page = pdf_docs[page_id]
  58. if debug_mode:
  59. time_now = time.time()
  60. logger.info(f"page_id: {page_id}, last_page_cost_time: {get_delta_time(start_time)}")
  61. start_time = time_now
  62. # 获取当前页的模型数据
  63. ocr_page_info = get_docx_model_output(pdf_model_output, pdf_model_profile, page_id)
  64. """从json中获取每页的页码、页眉、页脚的bbox"""
  65. page_no_bboxes = parse_pageNos(page_id, page, ocr_page_info)
  66. header_bboxes = parse_headers(page_id, page, ocr_page_info)
  67. footer_bboxes = parse_footers(page_id, page, ocr_page_info)
  68. footnote_bboxes = parse_footnotes_by_model(page_id, page, ocr_page_info, md_bookname_save_path,
  69. debug_mode=debug_mode)
  70. # 构建需要remove的bbox列表
  71. need_remove_spans_bboxes = []
  72. need_remove_spans_bboxes.extend(page_no_bboxes)
  73. need_remove_spans_bboxes.extend(header_bboxes)
  74. need_remove_spans_bboxes.extend(footer_bboxes)
  75. need_remove_spans_bboxes.extend(footnote_bboxes)
  76. layout_dets = ocr_page_info['layout_dets']
  77. spans = []
  78. # 计算模型坐标和pymu坐标的缩放比例
  79. horizontal_scale_ratio, vertical_scale_ratio = get_scale_ratio(ocr_page_info, page)
  80. for layout_det in layout_dets:
  81. category_id = layout_det['category_id']
  82. allow_category_id_list = [1, 7, 13, 14, 15]
  83. if category_id in allow_category_id_list:
  84. x0, y0, _, _, x1, y1, _, _ = layout_det['poly']
  85. bbox = [int(x0 / horizontal_scale_ratio), int(y0 / vertical_scale_ratio),
  86. int(x1 / horizontal_scale_ratio), int(y1 / vertical_scale_ratio)]
  87. '''要删除的'''
  88. # 3: 'header', # 页眉
  89. # 4: 'page number', # 页码
  90. # 5: 'footnote', # 脚注
  91. # 6: 'footer', # 页脚
  92. '''当成span拼接的'''
  93. # 1: 'image', # 图片
  94. # 7: 'table', # 表格
  95. # 13: 'inline_equation', # 行内公式
  96. # 14: 'displayed_equation', # 行间公式
  97. # 15: 'text', # ocr识别文本
  98. '''layout信息'''
  99. # 11: 'full column', # 单栏
  100. # 12: 'sub column', # 多栏
  101. span = {
  102. 'bbox': bbox,
  103. }
  104. if category_id == 1:
  105. span['type'] = 'image'
  106. elif category_id == 7:
  107. span['type'] = 'table'
  108. elif category_id == 13:
  109. span['content'] = layout_det['latex']
  110. span['type'] = 'inline_equation'
  111. elif category_id == 14:
  112. span['content'] = layout_det['latex']
  113. span['type'] = 'displayed_equation'
  114. elif category_id == 15:
  115. span['content'] = layout_det['text']
  116. span['type'] = 'text'
  117. # print(span)
  118. spans.append(span)
  119. else:
  120. continue
  121. # 删除重叠spans中较小的那些
  122. spans = remove_overlaps_min_spans(spans)
  123. # 删除remove_span_block_bboxes中的bbox
  124. spans = remove_spans_by_bboxes(spans, need_remove_spans_bboxes)
  125. # 对tpye=["displayed_equation", "image", "table"]进行额外处理,如果左边有字的话,将该span的bbox中y0调整低于文字的y0
  126. # 从ocr_page_info中解析layout信息(按自然阅读方向排序,并修复重叠和交错的bad case)
  127. layout_bboxes = layout_detect(ocr_page_info['subfield_dets'], page)
  128. # 将spans合并成line(在layout内,从上到下,从左到右)
  129. lines = merge_spans_to_line(spans, layout_bboxes)
  130. # logger.info(lines)
  131. # 目前不做block拼接,先做个结构,每个block中只有一个line,block的bbox就是line的bbox
  132. blocks = []
  133. for line in lines:
  134. blocks.append({
  135. "bbox": line['bbox'],
  136. "lines": [line],
  137. })
  138. # 构造pdf_info_dict
  139. page_info = construct_page_component(page_id, blocks, layout_bboxes)
  140. pdf_info_dict[f"page_{page_id}"] = page_info
  141. return pdf_info_dict