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:
  10. for span2 in spans:
  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. dropped_spans.append(bbox_to_remove)
  17. if len(dropped_spans) > 0:
  18. for dropped_span in dropped_spans:
  19. spans.remove(dropped_span)
  20. dropped_span['tag'] = DropTag.SPAN_OVERLAP
  21. return spans, dropped_spans
  22. def remove_spans_by_bboxes(spans, need_remove_spans_bboxes):
  23. # 遍历spans, 判断是否在removed_span_block_bboxes中
  24. # 如果是, 则删除该span 否则, 保留该span
  25. need_remove_spans = []
  26. for span in spans:
  27. for removed_bbox in need_remove_spans_bboxes:
  28. if calculate_overlap_area_in_bbox1_area_ratio(span['bbox'], removed_bbox) > 0.5:
  29. need_remove_spans.append(span)
  30. break
  31. if len(need_remove_spans) > 0:
  32. for span in need_remove_spans:
  33. spans.remove(span)
  34. return spans
  35. def remove_spans_by_bboxes_dict(spans, need_remove_spans_bboxes_dict):
  36. dropped_spans = []
  37. for drop_tag, removed_bboxes in need_remove_spans_bboxes_dict.items():
  38. # logger.info(f"remove spans by bbox dict, drop_tag: {drop_tag}, removed_bboxes: {removed_bboxes}")
  39. need_remove_spans = []
  40. for span in spans:
  41. # 通过判断span的bbox是否在removed_bboxes中, 判断是否需要删除该span
  42. for removed_bbox in removed_bboxes:
  43. if calculate_overlap_area_in_bbox1_area_ratio(span['bbox'], removed_bbox) > 0.5:
  44. need_remove_spans.append(span)
  45. break
  46. # 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
  47. elif drop_tag == DropTag.FOOTNOTE and (span['bbox'][1] + span['bbox'][3]) / 2 > removed_bbox[3] and \
  48. removed_bbox[0] < (span['bbox'][0] + span['bbox'][2]) / 2 < removed_bbox[2]:
  49. need_remove_spans.append(span)
  50. break
  51. for span in need_remove_spans:
  52. spans.remove(span)
  53. span['tag'] = drop_tag
  54. dropped_spans.append(span)
  55. return spans, dropped_spans
  56. def adjust_bbox_for_standalone_block(spans):
  57. # 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
  58. for sb_span in spans:
  59. if sb_span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  60. for text_span in spans:
  61. if text_span['type'] in [ContentType.Text, ContentType.InlineEquation]:
  62. # 判断span2的纵向高度是否被span所覆盖
  63. if sb_span['bbox'][1] < text_span['bbox'][1] and sb_span['bbox'][3] > text_span['bbox'][3]:
  64. # 判断span2是否在span左边
  65. if text_span['bbox'][0] < sb_span['bbox'][0]:
  66. # 调整span的y0和span2的y0一致
  67. sb_span['bbox'][1] = text_span['bbox'][1]
  68. return spans
  69. def modify_y_axis(spans: list, displayed_list: list, text_inline_lines: list):
  70. # displayed_list = []
  71. # 如果spans为空,则不处理
  72. if len(spans) == 0:
  73. pass
  74. else:
  75. spans.sort(key=lambda span: span['bbox'][1])
  76. lines = []
  77. current_line = [spans[0]]
  78. if spans[0]["type"] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  79. displayed_list.append(spans[0])
  80. line_first_y0 = spans[0]["bbox"][1]
  81. line_first_y = spans[0]["bbox"][3]
  82. # 用于给行间公式搜索
  83. # text_inline_lines = []
  84. for span in spans[1:]:
  85. # if span.get("content","") == "78.":
  86. # print("debug")
  87. # 如果当前的span类型为"interline_equation" 或者 当前行中已经有"interline_equation"
  88. # image和table类型,同上
  89. if span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] or any(
  90. s['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] for s in
  91. current_line):
  92. # 传入
  93. if span["type"] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
  94. displayed_list.append(span)
  95. # 则开始新行
  96. lines.append(current_line)
  97. if len(current_line) > 1 or current_line[0]["type"] in [ContentType.Text, ContentType.InlineEquation]:
  98. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  99. current_line = [span]
  100. line_first_y0 = span["bbox"][1]
  101. line_first_y = span["bbox"][3]
  102. continue
  103. # 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
  104. if __is_overlaps_y_exceeds_threshold(span['bbox'], current_line[-1]['bbox']):
  105. if span["type"] == "text":
  106. line_first_y0 = span["bbox"][1]
  107. line_first_y = span["bbox"][3]
  108. current_line.append(span)
  109. else:
  110. # 否则,开始新行
  111. lines.append(current_line)
  112. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  113. current_line = [span]
  114. line_first_y0 = span["bbox"][1]
  115. line_first_y = span["bbox"][3]
  116. # 添加最后一行
  117. if current_line:
  118. lines.append(current_line)
  119. if len(current_line) > 1 or current_line[0]["type"] in [ContentType.Text, ContentType.InlineEquation]:
  120. text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
  121. for line in text_inline_lines:
  122. # 按照x0坐标排序
  123. current_line = line[0]
  124. current_line.sort(key=lambda span: span['bbox'][0])
  125. # 调整每一个文字行内bbox统一
  126. for line in text_inline_lines:
  127. current_line, (line_first_y0, line_first_y) = line
  128. for span in current_line:
  129. span["bbox"][1] = line_first_y0
  130. span["bbox"][3] = line_first_y
  131. # return spans, displayed_list, text_inline_lines
  132. def modify_inline_equation(spans: list, displayed_list: list, text_inline_lines: list):
  133. # 错误行间公式转行内公式
  134. j = 0
  135. for i in range(len(displayed_list)):
  136. # if i == 8:
  137. # print("debug")
  138. span = displayed_list[i]
  139. span_y0, span_y = span["bbox"][1], span["bbox"][3]
  140. while j < len(text_inline_lines):
  141. text_line = text_inline_lines[j]
  142. y0, y1 = text_line[1]
  143. if (
  144. span_y0 < y0 < span_y or span_y0 < y1 < span_y or span_y0 < y0 and span_y > y1
  145. ) and __is_overlaps_y_exceeds_threshold(
  146. span['bbox'], (0, y0, 0, y1)
  147. ):
  148. # 调整公式类型
  149. if span["type"] == ContentType.InterlineEquation:
  150. # 最后一行是行间公式
  151. if j + 1 >= len(text_inline_lines):
  152. span["type"] = ContentType.InlineEquation
  153. span["bbox"][1] = y0
  154. span["bbox"][3] = y1
  155. else:
  156. # 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
  157. y0_next, y1_next = text_inline_lines[j + 1][1]
  158. if not __is_overlaps_y_exceeds_threshold(span['bbox'], (0, y0_next, 0, y1_next)) and 3 * (
  159. y1 - y0) > span_y - span_y0:
  160. span["type"] = ContentType.InlineEquation
  161. span["bbox"][1] = y0
  162. span["bbox"][3] = y1
  163. break
  164. elif span_y < y0 or span_y0 < y0 < span_y and not __is_overlaps_y_exceeds_threshold(span['bbox'],
  165. (0, y0, 0, y1)):
  166. break
  167. else:
  168. j += 1
  169. return spans
  170. def get_qa_need_list(blocks):
  171. # 创建 images, tables, interline_equations, inline_equations 的副本
  172. images = []
  173. tables = []
  174. interline_equations = []
  175. inline_equations = []
  176. for block in blocks:
  177. for line in block["lines"]:
  178. for span in line["spans"]:
  179. if span["type"] == ContentType.Image:
  180. images.append(span)
  181. elif span["type"] == ContentType.Table:
  182. tables.append(span)
  183. elif span["type"] == ContentType.InlineEquation:
  184. inline_equations.append(span)
  185. elif span["type"] == ContentType.InterlineEquation:
  186. interline_equations.append(span)
  187. else:
  188. continue
  189. return images, tables, interline_equations, inline_equations
  190. def get_qa_need_list_v2(blocks):
  191. # 创建 images, tables, interline_equations, inline_equations 的副本
  192. images = []
  193. tables = []
  194. interline_equations = []
  195. for block in blocks:
  196. if block["type"] == BlockType.Image:
  197. images.append(block)
  198. elif block["type"] == BlockType.Table:
  199. tables.append(block)
  200. elif block["type"] == BlockType.InterlineEquation:
  201. interline_equations.append(block)
  202. return images, tables, interline_equations