zbparse/flask_app/PaddleOCR/python_api/tbpu/parser_multi_para.py

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2024-12-03 11:50:15 +08:00
# 排版解析-多栏-自然段
from .tbpu import Tbpu
from .parser_tools.line_preprocessing import linePreprocessing # 行预处理
from .parser_tools.gap_tree import GapTree # 间隙树排序算法
from .parser_tools.paragraph_parse import ParagraphParse # 段内分析器
class MultiPara(Tbpu):
def __init__(self):
self.tbpuName = "排版解析-多栏-自然段"
# 间隙树对象
self.gtree = GapTree(lambda tb: tb["normalized_bbox"])
# 段内分析器对象
get_info = lambda tb: (tb["normalized_bbox"], tb["text"])
def set_end(tb, end): # 获取预测的块尾分隔符
tb["end"] = end
self.pp = ParagraphParse(get_info, set_end)
def run(self, textBlocks):
textBlocks = linePreprocessing(textBlocks) # 预处理
textBlocks = self.gtree.sort(textBlocks) # 构建间隙树
nodes = self.gtree.get_nodes_text_blocks() # 获取树节点序列
# 对每个结点,进行自然段分析
for tbs in nodes:
self.pp.run(tbs) # 预测结尾分隔符
for tb in tbs:
del tb["normalized_bbox"]
return textBlocks