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67 lines
2.9 KiB
Python
67 lines
2.9 KiB
Python
import os
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import collections # 统计库
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import re # 正则
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from libs.commons import fitz # pyMuPDF库
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import json # json
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def parse_tables(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
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"""
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:param page_ID: int类型，当前page在当前pdf文档中是第page_D页。
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:param page :fitz读取的当前页的内容
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:param res_dir_path: str类型，是每一个pdf文档，在当前.py文件的目录下生成一个与pdf文档同名的文件夹，res_dir_path就是文件夹的dir
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:param json_from_DocXchain_obj: dict类型，把pdf文档送入DocXChain模型中后，提取bbox，结果保存到pdf文档同名文件夹下的 page_ID.json文件中了。json_from_DocXchain_obj就是打开后的dict
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"""
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DPI = 72 # use this resolution
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pix = page.get_pixmap(dpi=DPI)
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pageL = 0
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pageR = int(pix.w)
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pageU = 0
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pageD = int(pix.h)
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#--------- 通过json_from_DocXchain来获取 table ---------#
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table_bbox_from_DocXChain = []
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xf_json = json_from_DocXchain_obj
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width_from_json = xf_json['page_info']['width']
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height_from_json = xf_json['page_info']['height']
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LR_scaleRatio = width_from_json / (pageR - pageL)
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UD_scaleRatio = height_from_json / (pageD - pageU)
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for xf in xf_json['layout_dets']:
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# {0: 'title', 1: 'figure', 2: 'plain text', 3: 'header', 4: 'page number', 5: 'footnote', 6: 'footer', 7: 'table', 8: 'table caption', 9: 'figure caption', 10: 'equation', 11: 'full column', 12: 'sub column'}
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# 13: 'embedding', # 嵌入公式
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# 14: 'isolated'} # 单行公式
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L = xf['poly'][0] / LR_scaleRatio
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U = xf['poly'][1] / UD_scaleRatio
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R = xf['poly'][2] / LR_scaleRatio
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D = xf['poly'][5] / UD_scaleRatio
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# L += pageL # 有的页面，artBox偏移了。不在（0,0）
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# R += pageL
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# U += pageU
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# D += pageU
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L, R = min(L, R), max(L, R)
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U, D = min(U, D), max(U, D)
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if xf['category_id'] == 7 and xf['score'] >= 0.3:
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table_bbox_from_DocXChain.append((L, U, R, D))
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table_final_names = []
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table_final_bboxs = []
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table_ID = 0
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for L, U, R, D in table_bbox_from_DocXChain:
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# cur_table = page.get_pixmap(clip=(L,U,R,D))
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new_table_name = "table_{}_{}.png".format(page_ID, table_ID) # 表格name
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# cur_table.save(res_dir_path + '/' + new_table_name) # 把表格存出在新建的文件夹，并命名
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table_final_names.append(new_table_name) # 把表格的名字存在list中，方便在md中插入引用
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table_final_bboxs.append((L, U, R, D))
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table_ID += 1
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table_final_bboxs.sort(key = lambda LURD: (LURD[1], LURD[0]))
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curPage_all_table_bboxs = table_final_bboxs
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return curPage_all_table_bboxs
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