Commit 084e9328 authored by xuchao's avatar xuchao

实现layout内部分段

parent f68c6629
......@@ -31,5 +31,6 @@ tmp
.vscode
.vscode/
/tests/
ocr_demo
/app/common/__init__.py
......@@ -4,7 +4,7 @@ import os
from loguru import logger
from pathlib import Path
from magic_pdf.dict2md.ocr_mkcontent import ocr_mk_nlp_markdown, ocr_mk_mm_markdown
from magic_pdf.dict2md.ocr_mkcontent import mk_mm_markdown2, mk_nlp_markdown, mk_mm_markdown
from magic_pdf.libs.commons import join_path
from magic_pdf.pdf_parse_by_ocr import parse_pdf_by_ocr
......@@ -34,8 +34,9 @@ if __name__ == '__main__':
ocr_json_file_path = r"D:\project\20231108code-clean\ocr\new\双栏\s0043-1354(02)00581-x.json"
# ocr_pdf_path = r"D:\project\20231108code-clean\ocr\new\双栏\j.1540-627x.2006.00176.x.pdf"
# ocr_json_file_path = r"D:\project\20231108code-clean\ocr\new\双栏\j.1540-627x.2006.00176.x.json"
# ocr_pdf_path = r"D:\project\20231108code-clean\ocr\new\demo_4\ocr_demo\ocr_1_org.pdf"
# ocr_json_file_path = r"D:\project\20231108code-clean\ocr\new\demo_4\ocr_demo\ocr_1_fix.json"
ocr_pdf_path = r"/home/cxu/workspace/Magic-PDF/ocr_demo/j.1540-627x.2006.00176.x.pdf"
ocr_json_file_path = r"/home/cxu/workspace/Magic-PDF/ocr_demo/j.1540-627x.2006.00176.x.json"
try:
ocr_pdf_model_info = read_json_file(ocr_json_file_path)
pth = Path(ocr_json_file_path)
......@@ -56,8 +57,8 @@ if __name__ == '__main__':
if not os.path.exists(parent_dir):
os.makedirs(parent_dir)
# markdown_content = ocr_mk_nlp_markdown(pdf_info_dict)
markdown_content = ocr_mk_mm_markdown(pdf_info_dict)
# markdown_content = mk_nlp_markdown(pdf_info_dict)
markdown_content = mk_mm_markdown2(pdf_info_dict)
with open(text_content_save_path, "w", encoding="utf-8") as f:
f.write(markdown_content)
......
......@@ -53,3 +53,30 @@ def ocr_mk_mm_markdown(pdf_info_dict: dict):
# 在行末添加两个空格以强制换行
markdown.append(line_text.strip() + ' ')
return '\n'.join(markdown)
def mk_mm_markdown2(pdf_info_dict:dict):
markdown = []
for _, page_info in pdf_info_dict.items():
paras = page_info.get("para_blocks")
if not paras:
continue
for para in paras:
para_text = ''
for line in para:
for span in line['spans']:
span_type = span.get('type')
if span_type == 'text':
para_text += span['content']
elif span_type == 'inline_equation':
para_text += f" ${span['content']}$ "
elif span_type == 'displayed_equation':
para_text += f"$$\n{span['content']}\n$$ "
elif span_type == 'image':
para_text += f"![]({span['image_path']}) "
markdown.append(para_text)
return '\n\n'.join(markdown)
\ No newline at end of file
from sklearn.cluster import DBSCAN
import numpy as np
from loguru import logger
from magic_pdf.libs.boxbase import _is_in
LINE_STOP_FLAG = ['.', '!', '?', '。', '!', '?',":", ":", ")", ")", ";"]
INLINE_EQUATION = 'inline_equation'
INTER_EQUATION = "displayed_equation"
TEXT = "text"
def __add_line_period(blocks, layout_bboxes):
"""
为每行添加句号
如果这个行
1. 以行内公式结尾,但没有任何标点符号,此时加个句号,认为他就是段落结尾。
"""
for block in blocks:
for line in block['lines']:
last_span = line['spans'][-1]
span_type = last_span['type']
if span_type in [TEXT, INLINE_EQUATION]:
span_content = last_span['content'].strip()
if span_type==INLINE_EQUATION and span_content[-1] not in LINE_STOP_FLAG:
if span_type in [INLINE_EQUATION, INTER_EQUATION]:
last_span['content'] = span_content + '.'
def __valign_lines(blocks, layout_bboxes):
"""
对齐行的左侧和右侧。
扫描行的左侧和右侧,如果x0, x1差距不超过3就强行对齐到所处layout的左右两侧(和layout有一段距离)。
3是个经验值,TODO,计算得来
"""
min_distance = 3
min_sample = 2
for layout_box in layout_bboxes:
blocks_in_layoutbox = [b for b in blocks if _is_in(b['bbox'], layout_box['layout_bbox'])]
if len(blocks_in_layoutbox)==0:
continue
x0_lst = np.array([[line['bbox'][0], 0] for block in blocks_in_layoutbox for line in block['lines']])
x1_lst = np.array([[line['bbox'][2], 0] for block in blocks_in_layoutbox for line in block['lines']])
x0_clusters = DBSCAN(eps=min_distance, min_samples=min_sample).fit(x0_lst)
x1_clusters = DBSCAN(eps=min_distance, min_samples=min_sample).fit(x1_lst)
x0_uniq_label = np.unique(x0_clusters.labels_)
x1_uniq_label = np.unique(x1_clusters.labels_)
x0_2_new_val = {} # 存储旧值对应的新值映射
x1_2_new_val = {}
for label in x0_uniq_label:
if label==-1:
continue
x0_index_of_label = np.where(x0_clusters.labels_==label)
x0_raw_val = x0_lst[x0_index_of_label][:,0]
x0_new_val = np.min(x0_lst[x0_index_of_label][:,0])
x0_2_new_val.update({idx: x0_new_val for idx in x0_raw_val})
for label in x1_uniq_label:
if label==-1:
continue
x1_index_of_label = np.where(x1_clusters.labels_==label)
x1_raw_val = x1_lst[x1_index_of_label][:,0]
x1_new_val = np.max(x1_lst[x1_index_of_label][:,0])
x1_2_new_val.update({idx: x1_new_val for idx in x1_raw_val})
for block in blocks_in_layoutbox:
for line in block['lines']:
x0, x1 = line['bbox'][0], line['bbox'][2]
if x0 in x0_2_new_val:
line['bbox'][0] = int(x0_2_new_val[x0])
if x1 in x1_2_new_val:
line['bbox'][2] = int(x1_2_new_val[x1])
# 其余对不齐的保持不动
# 由于修改了block里的line长度,现在需要重新计算block的bbox
for block in blocks_in_layoutbox:
block['bbox'] = [min([line['bbox'][0] for line in block['lines']]),
min([line['bbox'][1] for line in block['lines']]),
max([line['bbox'][2] for line in block['lines']]),
max([line['bbox'][3] for line in block['lines']])]
def __common_pre_proc(blocks, layout_bboxes):
"""
不分语言的,对文本进行预处理
"""
__add_line_period(blocks, layout_bboxes)
__valign_lines(blocks, layout_bboxes)
def __pre_proc_zh_blocks(blocks, layout_bboxes):
"""
对中文文本进行分段预处理
"""
pass
def __pre_proc_en_blocks(blocks, layout_bboxes):
"""
对英文文本进行分段预处理
"""
pass
def __group_line_by_layout(blocks, layout_bboxes, lang="en"):
"""
每个layout内的行进行聚合
"""
# 因为只是一个block一行目前, 一个block就是一个段落
lines_group = []
for lyout in layout_bboxes:
lines = [line for block in blocks if _is_in(block['bbox'], lyout['layout_bbox']) for line in block['lines']]
lines_group.append(lines)
return lines_group
def __split_para_in_layoutbox(lines_group, layout_bboxes, lang="en", char_avg_len=10):
"""
lines_group 进行行分段——layout内部进行分段。
1. 先计算每个group的左右边界。
2. 然后根据行末尾特征进行分段。
末尾特征:以句号等结束符结尾。并且距离右侧边界有一定距离。
"""
def get_span_text(span):
c = span.get('content', '')
if len(c)==0:
c = span.get('image-path', '')
return c
paras = []
right_tail_distance = 1.5 * char_avg_len
for lines in lines_group:
if len(lines)==0:
continue
layout_right = max([line['bbox'][2] for line in lines])
para = [] # 元素是line
for line in lines:
line_text = ''.join([get_span_text(span) for span in line['spans']])
#logger.info(line_text)
last_span_type = line['spans'][-1]['type']
if last_span_type in [TEXT, INLINE_EQUATION]:
last_char = line['spans'][-1]['content'][-1]
if last_char in LINE_STOP_FLAG or line['bbox'][2] < layout_right - right_tail_distance:
para.append(line)
paras.append(para)
# para_text = ''.join([span['content'] for line in para for span in line['spans']])
# logger.info(para_text)
para = []
else:
para.append(line)
else: # 其他,图片、表格、行间公式,各自占一段
para.append(line)
paras.append(para)
# para_text = ''.join([get_span_text(span) for line in para for span in line['spans']])
# logger.info(para_text)
para = []
if len(para)>0:
paras.append(para)
# para_text = ''.join([get_span_text(span) for line in para for span in line['spans']])
# logger.info(para_text)
para = []
return paras
def __do_split(blocks, layout_bboxes, lang="en"):
"""
根据line和layout情况进行分段
先实现一个根据行末尾特征分段的简单方法。
"""
"""
算法思路:
1. 扫描layout里每一行,找出来行尾距离layout有边界有一定距离的行。
2. 从上述行中找到末尾是句号等可作为断行标志的行。
3. 参照上述行尾特征进行分段。
4. 图、表,目前独占一行,不考虑分段。
"""
lines_group = __group_line_by_layout(blocks, layout_bboxes, lang) # block内分段
layout_paras = __split_para_in_layoutbox(lines_group, layout_bboxes, lang) # block间连接分段
return layout_paras
def para_split(blocks, layout_bboxes, lang="en"):
"""
根据line和layout情况进行分段
"""
__common_pre_proc(blocks, layout_bboxes)
if lang=='en':
__do_split(blocks, layout_bboxes, lang)
elif lang=='zh':
__do_split(blocks, layout_bboxes, lang)
splited_blocks = __do_split(blocks, layout_bboxes, lang)
return splited_blocks
......@@ -16,6 +16,7 @@ from magic_pdf.libs.commons import (
from magic_pdf.libs.coordinate_transform import get_scale_ratio
from magic_pdf.libs.ocr_content_type import ContentType
from magic_pdf.libs.safe_filename import sanitize_filename
from magic_pdf.para.para_split import para_split
from magic_pdf.pre_proc.detect_footer_by_model import parse_footers
from magic_pdf.pre_proc.detect_footnote import parse_footnotes_by_model
from magic_pdf.pre_proc.detect_header import parse_headers
......@@ -31,12 +32,13 @@ from magic_pdf.pre_proc.ocr_span_list_modify import remove_spans_by_bboxes, remo
from magic_pdf.pre_proc.remove_bbox_overlap import remove_overlap_between_bbox
def construct_page_component(blocks, layout_bboxes, page_id, page_w, page_h, layout_tree,
def construct_page_component(blocks, para_blocks, layout_bboxes, page_id, page_w, page_h, layout_tree,
images, tables, interline_equations, inline_equations,
dropped_text_block, dropped_image_block, dropped_table_block,
need_remove_spans_bboxes_dict):
return_dict = {
'preproc_blocks': blocks,
"para_blocks": para_blocks, # 分好段落的blocks
'layout_bboxes': layout_bboxes,
'page_idx': page_id,
'page_size': [page_w, page_h],
......@@ -234,13 +236,13 @@ def parse_pdf_by_ocr(
blocks = merge_lines_to_block(lines)
# 根据block合并段落
para_blocks = para_split(blocks, layout_bboxes)
# 获取QA需要外置的list
images, tables, interline_equations, inline_equations = get_qa_need_list(blocks)
# 构造pdf_info_dict
page_info = construct_page_component(blocks, layout_bboxes, page_id, page_w, page_h, layout_tree,
page_info = construct_page_component(blocks, para_blocks, layout_bboxes, page_id, page_w, page_h, layout_tree,
images, tables, interline_equations, inline_equations,
dropped_text_block, dropped_image_block, dropped_table_block,
need_remove_spans_bboxes_dict)
......
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