ocr_span_list_modify.py 9.5 KB

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  1. from loguru import logger
  2. from magic_pdf.libs.boxbase import calculate_overlap_area_in_bbox1_area_ratio, get_minbox_if_overlap_by_ratio, \
  3. __is_overlaps_y_exceeds_threshold
  4. from magic_pdf.libs.drop_tag import DropTag
  5. from magic_pdf.libs.ocr_content_type import ContentType
  6. def remove_overlaps_min_spans(spans):
  7. dropped_spans = []
  8. # 删除重叠spans中较小的那些
  9. for span1 in spans.copy():
  10. for span2 in spans.copy():
  11. if span1 != span2:
  12. overlap_box = get_minbox_if_overlap_by_ratio(span1['bbox'], span2['bbox'], 0.65)
  13. if overlap_box is not None:
  14. bbox_to_remove = next((span for span in spans if span['bbox'] == overlap_box), None)
  15. if bbox_to_remove is not None:
  16. spans.remove(bbox_to_remove)
  17. bbox_to_remove['tag'] = DropTag.SPAN_OVERLAP
  18. dropped_spans.append(bbox_to_remove)
  19. return spans, dropped_spans
  20. def remove_spans_by_bboxes(spans, need_remove_spans_bboxes):
  21. # 遍历spans, 判断是否在removed_span_block_bboxes中
  22. # 如果是, 则删除该span 否则, 保留该span
  23. need_remove_spans = []
  24. for span in spans:
  25. for removed_bbox in need_remove_spans_bboxes:
  26. if calculate_overlap_area_in_bbox1_area_ratio(span['bbox'], removed_bbox) > 0.5:
  27. need_remove_spans.append(span)
  28. break
  29. for span in need_remove_spans:
  30. spans.remove(span)
  31. return spans
  32. def remove_spans_by_bboxes_dict(spans, need_remove_spans_bboxes_dict):
  33. dropped_spans = []
  34. for drop_tag, removed_bboxes in need_remove_spans_bboxes_dict.items():
  35. # logger.info(f"remove spans by bbox dict, drop_tag: {drop_tag}, removed_bboxes: {removed_bboxes}")
  36. need_remove_spans = []
  37. for span in spans:
  38. # 通过判断span的bbox是否在removed_bboxes中, 判断是否需要删除该span
  39. for removed_bbox in removed_bboxes:
  40. if calculate_overlap_area_in_bbox1_area_ratio(span['bbox'], removed_bbox) > 0.5:
  41. need_remove_spans.append(span)
  42. break
  43. # 当drop_tag为DropTag.FOOTNOTE时, 判断span是否在removed_bboxes中任意一个的下方,如果是,则删除该span
  44. elif drop_tag == DropTag.FOOTNOTE and (span['bbox'][1]+span['bbox'][3])/2 > removed_bbox[3] and removed_bbox[0] < (span['bbox'][0]+span['bbox'][2])/2 < removed_bbox[2]:
  45. need_remove_spans.append(span)
  46. break
  47. for span in need_remove_spans:
  48. spans.remove(span)
  49. span['tag'] = drop_tag
  50. dropped_spans.append(span)
  51. return spans, dropped_spans
  52. def adjust_bbox_for_standalone_block(spans):
  53. # 对tpye=["interline_equation", "image", "table"]进行额外处理,如果左边有字的话,将该span的bbox中y0调整至不高于文字的y0
  54. for sb_span in spans:
  55. if sb_span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  56. for text_span in spans:
  57. if text_span['type'] in [ContentType.Text, ContentType.InlineEquation]:
  58. # 判断span2的纵向高度是否被span所覆盖
  59. if sb_span['bbox'][1] < text_span['bbox'][1] and sb_span['bbox'][3] > text_span['bbox'][3]:
  60. # 判断span2是否在span左边
  61. if text_span['bbox'][0] < sb_span['bbox'][0]:
  62. # 调整span的y0和span2的y0一致
  63. sb_span['bbox'][1] = text_span['bbox'][1]
  64. return spans
  65. def modify_y_axis(spans: list, displayed_list: list, text_inline_lines: list):
  66. # displayed_list = []
  67. # 如果spans为空,则不处理
  68. if len(spans) == 0:
  69. pass
  70. else:
  71. spans.sort(key=lambda span: span['bbox'][1])
  72. lines = []
  73. current_line = [spans[0]]
  74. if spans[0]["type"] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  75. displayed_list.append(spans[0])
  76. line_first_y0 = spans[0]["bbox"][1]
  77. line_first_y = spans[0]["bbox"][3]
  78. # 用于给行间公式搜索
  79. # text_inline_lines = []
  80. for span in spans[1:]:
  81. # if span.get("content","") == "78.":
  82. # print("debug")
  83. # 如果当前的span类型为"interline_equation" 或者 当前行中已经有"interline_equation"
  84. # image和table类型,同上
  85. if span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] or any(
  86. s['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] for s in
  87. current_line):
  88. # 传入
  89. if span["type"] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  90. displayed_list.append(span)
  91. # 则开始新行
  92. lines.append(current_line)
  93. if len(current_line) > 1 or current_line[0]["type"] in [ContentType.Text, ContentType.InlineEquation]:
  94. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  95. current_line = [span]
  96. line_first_y0 = span["bbox"][1]
  97. line_first_y = span["bbox"][3]
  98. continue
  99. # 如果当前的span与当前行的最后一个span在y轴上重叠,则添加到当前行
  100. if __is_overlaps_y_exceeds_threshold(span['bbox'], current_line[-1]['bbox']):
  101. if span["type"] == "text":
  102. line_first_y0 = span["bbox"][1]
  103. line_first_y = span["bbox"][3]
  104. current_line.append(span)
  105. else:
  106. # 否则,开始新行
  107. lines.append(current_line)
  108. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  109. current_line = [span]
  110. line_first_y0 = span["bbox"][1]
  111. line_first_y = span["bbox"][3]
  112. # 添加最后一行
  113. if current_line:
  114. lines.append(current_line)
  115. if len(current_line) > 1 or current_line[0]["type"] in [ContentType.Text, ContentType.InlineEquation]:
  116. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  117. for line in text_inline_lines:
  118. # 按照x0坐标排序
  119. current_line = line[0]
  120. current_line.sort(key=lambda span: span['bbox'][0])
  121. # 调整每一个文字行内bbox统一
  122. for line in text_inline_lines:
  123. current_line, (line_first_y0, line_first_y) = line
  124. for span in current_line:
  125. span["bbox"][1] = line_first_y0
  126. span["bbox"][3] = line_first_y
  127. # return spans, displayed_list, text_inline_lines
  128. def modify_inline_equation(spans: list, displayed_list: list, text_inline_lines: list):
  129. # 错误行间公式转行内公式
  130. j = 0
  131. for i in range(len(displayed_list)):
  132. # if i == 8:
  133. # print("debug")
  134. span = displayed_list[i]
  135. span_y0, span_y = span["bbox"][1], span["bbox"][3]
  136. while j < len(text_inline_lines):
  137. text_line = text_inline_lines[j]
  138. y0, y1 = text_line[1]
  139. if (
  140. span_y0 < y0 and span_y > y0 or span_y0 < y1 and span_y > y1 or span_y0 < y0 and span_y > y1) and __is_overlaps_y_exceeds_threshold(
  141. span['bbox'], (0, y0, 0, y1)):
  142. # 调整公式类型
  143. if span["type"] == ContentType.InterlineEquation:
  144. # 最后一行是行间公式
  145. if j + 1 >= len(text_inline_lines):
  146. span["type"] = ContentType.InlineEquation
  147. span["bbox"][1] = y0
  148. span["bbox"][3] = y1
  149. else:
  150. # 行间公式旁边有多行文字或者行间公式比文字高3倍则不转换
  151. y0_next, y1_next = text_inline_lines[j + 1][1]
  152. if not __is_overlaps_y_exceeds_threshold(span['bbox'], (0, y0_next, 0, y1_next)) and 3 * (
  153. y1 - y0) > span_y - span_y0:
  154. span["type"] = ContentType.InlineEquation
  155. span["bbox"][1] = y0
  156. span["bbox"][3] = y1
  157. break
  158. elif span_y < y0 or span_y0 < y0 and span_y > y0 and not __is_overlaps_y_exceeds_threshold(span['bbox'],
  159. (0, y0, 0, y1)):
  160. break
  161. else:
  162. j += 1
  163. return spans
  164. def get_qa_need_list(blocks):
  165. # 创建 images, tables, interline_equations, inline_equations 的副本
  166. images = []
  167. tables = []
  168. interline_equations = []
  169. inline_equations = []
  170. for block in blocks:
  171. for line in block["lines"]:
  172. for span in line["spans"]:
  173. if span["type"] == ContentType.Image:
  174. images.append(span)
  175. elif span["type"] == ContentType.Table:
  176. tables.append(span)
  177. elif span["type"] == ContentType.InlineEquation:
  178. inline_equations.append(span)
  179. elif span["type"] == ContentType.InterlineEquation:
  180. interline_equations.append(span)
  181. else:
  182. continue
  183. return images, tables, interline_equations, inline_equations