ocr_span_list_modify.py 10 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, BlockType
  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 \
  45. removed_bbox[0] < (span['bbox'][0] + span['bbox'][2]) / 2 < removed_bbox[2]:
  46. need_remove_spans.append(span)
  47. break
  48. for span in need_remove_spans:
  49. spans.remove(span)
  50. span['tag'] = drop_tag
  51. dropped_spans.append(span)
  52. return spans, dropped_spans
  53. def adjust_bbox_for_standalone_block(spans):
  54. # 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
  55. for sb_span in spans:
  56. if sb_span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  57. for text_span in spans:
  58. if text_span['type'] in [ContentType.Text, ContentType.InlineEquation]:
  59. # 判断span2的纵向高度是否被span所覆盖
  60. if sb_span['bbox'][1] < text_span['bbox'][1] and sb_span['bbox'][3] > text_span['bbox'][3]:
  61. # 判断span2是否在span左边
  62. if text_span['bbox'][0] < sb_span['bbox'][0]:
  63. # 调整span的y0和span2的y0一致
  64. sb_span['bbox'][1] = text_span['bbox'][1]
  65. return spans
  66. def modify_y_axis(spans: list, displayed_list: list, text_inline_lines: list):
  67. # displayed_list = []
  68. # 如果spans为空,则不处理
  69. if len(spans) == 0:
  70. pass
  71. else:
  72. spans.sort(key=lambda span: span['bbox'][1])
  73. lines = []
  74. current_line = [spans[0]]
  75. if spans[0]["type"] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  76. displayed_list.append(spans[0])
  77. line_first_y0 = spans[0]["bbox"][1]
  78. line_first_y = spans[0]["bbox"][3]
  79. # 用于给行间公式搜索
  80. # text_inline_lines = []
  81. for span in spans[1:]:
  82. # if span.get("content","") == "78.":
  83. # print("debug")
  84. # 如果当前的span类型为"interline_equation" 或者 当前行中已经有"interline_equation"
  85. # image和table类型,同上
  86. if span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] or any(
  87. s['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] for s in
  88. current_line):
  89. # 传入
  90. if span["type"] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  91. displayed_list.append(span)
  92. # 则开始新行
  93. lines.append(current_line)
  94. if len(current_line) > 1 or current_line[0]["type"] in [ContentType.Text, ContentType.InlineEquation]:
  95. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  96. current_line = [span]
  97. line_first_y0 = span["bbox"][1]
  98. line_first_y = span["bbox"][3]
  99. continue
  100. # 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
  101. if __is_overlaps_y_exceeds_threshold(span['bbox'], current_line[-1]['bbox']):
  102. if span["type"] == "text":
  103. line_first_y0 = span["bbox"][1]
  104. line_first_y = span["bbox"][3]
  105. current_line.append(span)
  106. else:
  107. # 否则,开始新行
  108. lines.append(current_line)
  109. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  110. current_line = [span]
  111. line_first_y0 = span["bbox"][1]
  112. line_first_y = span["bbox"][3]
  113. # 添加最后一行
  114. if current_line:
  115. lines.append(current_line)
  116. if len(current_line) > 1 or current_line[0]["type"] in [ContentType.Text, ContentType.InlineEquation]:
  117. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  118. for line in text_inline_lines:
  119. # 按照x0坐标排序
  120. current_line = line[0]
  121. current_line.sort(key=lambda span: span['bbox'][0])
  122. # 调整每一个文字行内bbox统一
  123. for line in text_inline_lines:
  124. current_line, (line_first_y0, line_first_y) = line
  125. for span in current_line:
  126. span["bbox"][1] = line_first_y0
  127. span["bbox"][3] = line_first_y
  128. # return spans, displayed_list, text_inline_lines
  129. def modify_inline_equation(spans: list, displayed_list: list, text_inline_lines: list):
  130. # 错误行间公式转行内公式
  131. j = 0
  132. for i in range(len(displayed_list)):
  133. # if i == 8:
  134. # print("debug")
  135. span = displayed_list[i]
  136. span_y0, span_y = span["bbox"][1], span["bbox"][3]
  137. while j < len(text_inline_lines):
  138. text_line = text_inline_lines[j]
  139. y0, y1 = text_line[1]
  140. if (
  141. span_y0 < y0 < span_y or span_y0 < y1 < span_y or span_y0 < y0 and span_y > y1
  142. ) and __is_overlaps_y_exceeds_threshold(
  143. span['bbox'], (0, y0, 0, y1)
  144. ):
  145. # 调整公式类型
  146. if span["type"] == ContentType.InterlineEquation:
  147. # 最后一行是行间公式
  148. if j + 1 >= len(text_inline_lines):
  149. span["type"] = ContentType.InlineEquation
  150. span["bbox"][1] = y0
  151. span["bbox"][3] = y1
  152. else:
  153. # 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
  154. y0_next, y1_next = text_inline_lines[j + 1][1]
  155. if not __is_overlaps_y_exceeds_threshold(span['bbox'], (0, y0_next, 0, y1_next)) and 3 * (
  156. y1 - y0) > span_y - span_y0:
  157. span["type"] = ContentType.InlineEquation
  158. span["bbox"][1] = y0
  159. span["bbox"][3] = y1
  160. break
  161. elif span_y < y0 or span_y0 < y0 < span_y and not __is_overlaps_y_exceeds_threshold(span['bbox'],
  162. (0, y0, 0, y1)):
  163. break
  164. else:
  165. j += 1
  166. return spans
  167. def get_qa_need_list(blocks):
  168. # 创建 images, tables, interline_equations, inline_equations 的副本
  169. images = []
  170. tables = []
  171. interline_equations = []
  172. inline_equations = []
  173. for block in blocks:
  174. for line in block["lines"]:
  175. for span in line["spans"]:
  176. if span["type"] == ContentType.Image:
  177. images.append(span)
  178. elif span["type"] == ContentType.Table:
  179. tables.append(span)
  180. elif span["type"] == ContentType.InlineEquation:
  181. inline_equations.append(span)
  182. elif span["type"] == ContentType.InterlineEquation:
  183. interline_equations.append(span)
  184. else:
  185. continue
  186. return images, tables, interline_equations, inline_equations
  187. def get_qa_need_list_v2(blocks):
  188. # 创建 images, tables, interline_equations, inline_equations 的副本
  189. images = []
  190. tables = []
  191. interline_equations = []
  192. for block in blocks:
  193. if block["type"] == BlockType.Image:
  194. images.append(block)
  195. elif block["type"] == BlockType.Table:
  196. tables.append(block)
  197. elif block["type"] == BlockType.InterlineEquation:
  198. interline_equations.append(block)
  199. return images, tables, interline_equations