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108 lines
4.3 KiB
Python
108 lines
4.3 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 calculate_overlapRatio_between_rect1_and_rect2(L1: float, U1: float, R1: float, D1: float, L2: float, U2: float, R2: float, D2: float) -> (float, float):
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# 计算两个rect，重叠面积各占2个rect面积的比例
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if min(R1, R2) < max(L1, L2) or min(D1, D2) < max(U1, U2):
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return 0, 0
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square_1 = (R1 - L1) * (D1 - U1)
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square_2 = (R2 - L2) * (D2 - U2)
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if square_1 == 0 or square_2 == 0:
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return 0, 0
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square_overlap = (min(R1, R2) - max(L1, L2)) * (min(D1, D2) - max(U1, U2))
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return square_overlap / square_1, square_overlap / square_2
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def evaluate_pdf_layout(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 title ---------#
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title_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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# {0: 'title', # 标题
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# 1: 'figure', # 图片
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# 2: 'plain text', # 文本
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# 3: 'header', # 页眉
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# 4: 'page number', # 页码
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# 5: 'footnote', # 脚注
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# 6: 'footer', # 页脚
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# 7: 'table', # 表格
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# 8: 'table caption', # 表格描述
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# 9: 'figure caption', # 图片描述
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# 10: 'equation', # 公式
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# 11: 'full column', # 单栏
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# 12: 'sub column', # 多栏
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# 13: 'embedding', # 嵌入公式
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# 14: 'isolated'} # 单行公式
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LOSS_THRESHOLD = 2000 # 经验值
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fullColumn_bboxs = []
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subColumn_bboxs = []
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plainText_bboxs = []
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#### read information of plain text
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for xf in xf_json['layout_dets']:
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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, 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'] == 2:
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plainText_bboxs.append((L, U, R, D))
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#### read information of column
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for xf in xf_json['subfield_dets']:
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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, 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'] == 11:
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fullColumn_bboxs.append((L, U, R, D))
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elif xf['category_id'] == 12:
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subColumn_bboxs.append((L, U, R, D))
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curPage_loss = 0 # 当前页的loss
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fail_cnt = 0 # Text文本块没被圈到的情形。
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for L, U, R, D in plainText_bboxs:
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find = False
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for L2, U2, R2, D2 in (fullColumn_bboxs + subColumn_bboxs):
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ratio_1, _ = calculate_overlapRatio_between_rect1_and_rect2(L, U, R, D, L2, U2, R2, D2)
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if ratio_1 >= 0.9:
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loss_1 = (L + R) / 2 - (L2 + R2) / 2
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loss_2 = L - L2
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cur_loss = min(abs(loss_1), abs(loss_2))
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curPage_loss += cur_loss
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find = True
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break
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if find == False:
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fail_cnt += 1
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isSimpleLayout_flag = False
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if fail_cnt == 0 and len(fullColumn_bboxs) <= 1 and len(subColumn_bboxs) <= 2:
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if curPage_loss <= LOSS_THRESHOLD:
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isSimpleLayout_flag = True
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return isSimpleLayout_flag, len(fullColumn_bboxs), len(subColumn_bboxs), curPage_loss
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