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MinerU/others/pdf2text_evaluatePdfLayout.py
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2024-03-02 03:02:23 +08:00

104 lines
4.2 KiB
Python

from magic_pdf.libs import fitz # pyMuPDF库
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):
# 计算两个rect,重叠面积各占2个rect面积的比例
if min(R1, R2) < max(L1, L2) or min(D1, D2) < max(U1, U2):
return 0, 0
square_1 = (R1 - L1) * (D1 - U1)
square_2 = (R2 - L2) * (D2 - U2)
if square_1 == 0 or square_2 == 0:
return 0, 0
square_overlap = (min(R1, R2) - max(L1, L2)) * (min(D1, D2) - max(U1, U2))
return square_overlap / square_1, square_overlap / square_2
def evaluate_pdf_layout(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
"""
:param page_ID: int类型,当前page在当前pdf文档中是第page_D页。
:param page :fitz读取的当前页的内容
: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
: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
"""
DPI = 72 # use this resolution
pix = page.get_pixmap(dpi=DPI)
pageL = 0
pageR = int(pix.w)
pageU = 0
pageD = int(pix.h)
#--------- 通过json_from_DocXchain来获取 title ---------#
title_bbox_from_DocXChain = []
xf_json = json_from_DocXchain_obj
width_from_json = xf_json['page_info']['width']
height_from_json = xf_json['page_info']['height']
LR_scaleRatio = width_from_json / (pageR - pageL)
UD_scaleRatio = height_from_json / (pageD - pageU)
# {0: 'title', # 标题
# 1: 'figure', # 图片
# 2: 'plain text', # 文本
# 3: 'header', # 页眉
# 4: 'page number', # 页码
# 5: 'footnote', # 脚注
# 6: 'footer', # 页脚
# 7: 'table', # 表格
# 8: 'table caption', # 表格描述
# 9: 'figure caption', # 图片描述
# 10: 'equation', # 公式
# 11: 'full column', # 单栏
# 12: 'sub column', # 多栏
# 13: 'embedding', # 嵌入公式
# 14: 'isolated'} # 单行公式
LOSS_THRESHOLD = 2000 # 经验值
fullColumn_bboxs = []
subColumn_bboxs = []
plainText_bboxs = []
#### read information of plain text
for xf in xf_json['layout_dets']:
L = xf['poly'][0] / LR_scaleRatio
U = xf['poly'][1] / UD_scaleRatio
R = xf['poly'][2] / LR_scaleRatio
D = xf['poly'][5] / UD_scaleRatio
L, R = min(L, R), max(L, R)
U, D = min(U, D), max(U, D)
if xf['category_id'] == 2:
plainText_bboxs.append((L, U, R, D))
#### read information of column
for xf in xf_json['subfield_dets']:
L = xf['poly'][0] / LR_scaleRatio
U = xf['poly'][1] / UD_scaleRatio
R = xf['poly'][2] / LR_scaleRatio
D = xf['poly'][5] / UD_scaleRatio
L, R = min(L, R), max(L, R)
U, D = min(U, D), max(U, D)
if xf['category_id'] == 11:
fullColumn_bboxs.append((L, U, R, D))
elif xf['category_id'] == 12:
subColumn_bboxs.append((L, U, R, D))
curPage_loss = 0 # 当前页的loss
fail_cnt = 0 # Text文本块没被圈到的情形。
for L, U, R, D in plainText_bboxs:
find = False
for L2, U2, R2, D2 in (fullColumn_bboxs + subColumn_bboxs):
ratio_1, _ = calculate_overlapRatio_between_rect1_and_rect2(L, U, R, D, L2, U2, R2, D2)
if ratio_1 >= 0.9:
loss_1 = (L + R) / 2 - (L2 + R2) / 2
loss_2 = L - L2
cur_loss = min(abs(loss_1), abs(loss_2))
curPage_loss += cur_loss
find = True
break
if find == False:
fail_cnt += 1
isSimpleLayout_flag = False
if fail_cnt == 0 and len(fullColumn_bboxs) <= 1 and len(subColumn_bboxs) <= 2:
if curPage_loss <= LOSS_THRESHOLD:
isSimpleLayout_flag = True
return isSimpleLayout_flag, len(fullColumn_bboxs), len(subColumn_bboxs), curPage_loss