paddleocr_vl_merger.py 4.3 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111
  1. """
  2. PaddleOCR_VL 和 PaddleOCR 合并模块
  3. """
  4. import json
  5. from typing import List, Dict
  6. try:
  7. from .text_matcher import TextMatcher
  8. from .bbox_extractor import BBoxExtractor
  9. from .data_processor import DataProcessor
  10. from .markdown_generator import MarkdownGenerator
  11. from .unified_output_converter import UnifiedOutputConverter
  12. except ImportError:
  13. from text_matcher import TextMatcher
  14. from bbox_extractor import BBoxExtractor
  15. from data_processor import DataProcessor
  16. from markdown_generator import MarkdownGenerator
  17. from unified_output_converter import UnifiedOutputConverter
  18. class PaddleOCRVLMerger:
  19. """PaddleOCR_VL 和 PaddleOCR 结果合并器"""
  20. def __init__(self, look_ahead_window: int = 10, similarity_threshold: int = 90):
  21. """
  22. Args:
  23. look_ahead_window: 向前查找的窗口大小
  24. similarity_threshold: 文本相似度阈值
  25. """
  26. self.look_ahead_window = look_ahead_window
  27. self.similarity_threshold = similarity_threshold
  28. # 初始化子模块
  29. self.text_matcher = TextMatcher(similarity_threshold)
  30. self.bbox_extractor = BBoxExtractor()
  31. self.data_processor = DataProcessor(self.text_matcher, look_ahead_window)
  32. self.markdown_generator = MarkdownGenerator()
  33. self.output_converter = UnifiedOutputConverter()
  34. def merge_table_with_bbox(self, paddleocr_vl_json_path: str,
  35. paddle_json_path: str,
  36. data_format: str = 'mineru') -> List[Dict]:
  37. """
  38. 合并 PaddleOCR_VL 和 PaddleOCR 的结果
  39. Args:
  40. paddleocr_vl_json_path: PaddleOCR_VL 输出的 JSON 路径
  41. paddle_json_path: PaddleOCR 输出的 JSON 路径
  42. data_format: 输出格式 ('mineru' 或 'paddleocr_vl')
  43. Returns:
  44. 合并后的结果 (默认MinerU格式)
  45. """
  46. # 加载数据
  47. with open(paddleocr_vl_json_path, 'r', encoding='utf-8') as f:
  48. paddleocr_vl_data = json.load(f)
  49. with open(paddle_json_path, 'r', encoding='utf-8') as f:
  50. paddle_data = json.load(f)
  51. # 提取 PaddleOCR 的文字框信息
  52. paddle_text_boxes = self.bbox_extractor.extract_paddle_text_boxes(paddle_data)
  53. # 处理 PaddleOCR_VL 的数据
  54. merged_data = self.data_processor.process_paddleocr_vl_data(
  55. paddleocr_vl_data, paddle_text_boxes
  56. )
  57. # 转换为指定格式
  58. if data_format == 'mineru':
  59. merged_data = self.output_converter.convert_to_mineru_format(
  60. merged_data, data_source='paddleocr_vl'
  61. )
  62. return merged_data
  63. def generate_enhanced_markdown(self, merged_data: List[Dict],
  64. output_path: str = None,
  65. source_file: str = None,
  66. data_format: str = None) -> str:
  67. """
  68. 生成增强的 Markdown
  69. Args:
  70. merged_data: 合并后的数据
  71. output_path: 输出路径
  72. source_file: 源文件路径
  73. data_format: 数据格式,None 则自动检测
  74. """
  75. # 如果data_format未指定,自动检测
  76. if data_format is None:
  77. data_format = self.markdown_generator.detect_data_format(merged_data)
  78. # 如果是PaddleOCR_VL格式,先转换为MinerU格式
  79. if data_format == 'paddleocr_vl':
  80. merged_data = self.output_converter.convert_to_mineru_format(
  81. merged_data, data_source='paddleocr_vl'
  82. )
  83. data_format = 'mineru'
  84. return self.markdown_generator.generate_enhanced_markdown(
  85. merged_data, output_path, source_file, data_format
  86. )
  87. def extract_table_cells_with_bbox(self, merged_data: List[Dict]) -> List[Dict]:
  88. """提取所有表格单元格及其 bbox 信息"""
  89. # 确保数据是MinerU格式
  90. if self.output_converter._detect_data_source(merged_data) != 'mineru':
  91. merged_data = self.output_converter.convert_to_mineru_format(merged_data)
  92. return self.bbox_extractor.extract_table_cells_with_bbox(merged_data)