1.在ppstructure管道中添加latex_ocr公式识别功能;2.添加pdf转markdown文件功能 (#13868)

* Add formula recognition in ppstructure,Convert PDF to markdown file

* Fix bug in converting to doc in formula recognition

* modify time

* Correct spelling errors in args_formula
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ztyf 2024-09-29 10:10:10 +08:00 committed by GitHub
parent 362103bd0b
commit 269e5b8f37
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4 changed files with 229 additions and 1 deletions

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@ -33,6 +33,7 @@ from ppocr.utils.utility import get_image_file_list, check_and_read
from ppocr.utils.logging import get_logger
from ppocr.utils.visual import draw_ser_results, draw_re_results
from tools.infer.predict_system import TextSystem
from tools.infer.predict_rec import TextRecognizer
from ppstructure.layout.predict_layout import LayoutPredictor
from ppstructure.table.predict_table import TableSystem, to_excel
from ppstructure.utility import parse_args, draw_structure_result, cal_ocr_word_box
@ -65,6 +66,7 @@ class StructureSystem(object):
self.layout_predictor = None
self.text_system = None
self.table_system = None
self.formula_system = None
if args.layout:
self.layout_predictor = LayoutPredictor(args)
if args.ocr:
@ -78,6 +80,13 @@ class StructureSystem(object):
)
else:
self.table_system = TableSystem(args)
if args.formula:
args_formula = deepcopy(args)
args_formula.rec_algorithm = args.formula_algorithm
args_formula.rec_model_dir = args.formula_model_dir
args_formula.rec_char_dict_path = args.formula_char_dict_path
args_formula.rec_batch_num = args.formula_batch_num
self.formula_system = TextRecognizer(args_formula)
elif self.mode == "kie":
from ppstructure.kie.predict_kie_token_ser_re import SerRePredictor
@ -92,6 +101,7 @@ class StructureSystem(object):
"layout": 0,
"table": 0,
"table_match": 0,
"formula": 0,
"det": 0,
"rec": 0,
"kie": 0,
@ -157,6 +167,12 @@ class StructureSystem(object):
time_dict["table_match"] += table_time_dict["match"]
time_dict["det"] += table_time_dict["det"]
time_dict["rec"] += table_time_dict["rec"]
elif region["label"] == "equation" and self.formula_system is not None:
latex_res, formula_time = self.formula_system([roi_img])
time_dict["formula"] += formula_time
res = {"latex": latex_res[0]}
else:
if text_res is not None:
# Filter the text results whose regions intersect with the current layout bbox.
@ -357,6 +373,9 @@ def main(args):
sorted_layout_boxes,
convert_info_docx,
)
from ppstructure.recovery.recovery_to_markdown import (
convert_info_markdown,
)
h, w, _ = img.shape
res = sorted_layout_boxes(res, w)
@ -365,6 +384,8 @@ def main(args):
if args.recovery and all_res != []:
try:
convert_info_docx(img, all_res, save_folder, img_name)
if args.recovery_to_markdown:
convert_info_markdown(all_res, save_folder, img_name)
except Exception as ex:
logger.error(
"error in layout recovery image:{}, err msg: {}".format(

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@ -67,6 +67,8 @@ def convert_info_docx(img, res, save_folder, img_name):
parser = HtmlToDocx()
parser.table_style = "TableGrid"
parser.handle_table(region["res"]["html"], doc)
elif region["type"] == "equation" and "latex" in region["res"]:
pass
else:
paragraph = doc.add_paragraph()
paragraph_format = paragraph.paragraph_format

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@ -0,0 +1,182 @@
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import re
from ppocr.utils.logging import get_logger
logger = get_logger()
def check_merge_method(in_region):
"""Select the function to merge paragraph.
Determine the paragraph merging method based on the positional
relationship between the text bbox and the first line of text in the text bbox.
Args:
in_region: Elements with text type in the layout result.
Returns:
Merge the functions of paragraph, convert_text_space_head or convert_text_space_tail.
"""
text_bbox = in_region["bbox"]
text_x1 = text_bbox[0]
frist_line_box = in_region["res"][0]["text_region"]
point_1 = frist_line_box[0]
point_2 = frist_line_box[2]
frist_line_x1 = point_1[0]
frist_line_height = abs(point_2[1] - point_1[1])
x1_distance = frist_line_x1 - text_x1
return (
convert_text_space_head
if x1_distance > frist_line_height
else convert_text_space_tail
)
def convert_text_space_head(in_region):
"""The function to merge paragraph.
The sign of dividing paragraph is that there are two spaces at the beginning.
Args:
in_region: Elements with text type in the layout result.
Returns:
The text content of the current text box.
"""
text = ""
pre_x = None
frist_line = True
for i, res in enumerate(in_region["res"]):
point1 = res["text_region"][0]
point2 = res["text_region"][2]
h = point2[1] - point1[1]
if i == 0:
text += res["text"]
pre_x = point1[0]
continue
x1 = point1[0]
if frist_line:
if abs(pre_x - x1) < h:
text += "\n\n"
text += res["text"]
frist_line = True
else:
text += res["text"]
frist_line = False
else:
same_paragh = abs(pre_x - x1) < h
if same_paragh:
text += res["text"]
frist_line = False
else:
text += "\n\n"
text += res["text"]
frist_line = True
pre_x = x1
return text
def convert_text_space_tail(in_region):
"""The function to merge paragraph.
The symbol for dividing paragraph is a space at the end.
Args:
in_region: Elements with text type in the layout result.
Returns:
The text content of the current text box.
"""
text = ""
frist_line = True
text_bbox = in_region["bbox"]
width = text_bbox[2] - text_bbox[0]
for i, res in enumerate(in_region["res"]):
point1 = res["text_region"][0]
point2 = res["text_region"][2]
row_width = point2[0] - point1[0]
row_height = point2[1] - point1[1]
full_row_threshold = width - row_height
is_full = row_width >= full_row_threshold
if frist_line:
text += "\n\n"
text += res["text"]
else:
text += res["text"]
frist_line = not is_full
return text
def convert_info_markdown(res, save_folder, img_name):
"""Save the recognition result as a markdown file.
Args:
res: Recognition result
save_folder: Folder to save the markdown file
img_name: PDF file or image file name
Returns:
None
"""
def replace_special_char(content):
special_chars = ["*", "`", "~", "$"]
for char in special_chars:
content = content.replace(char, "\\" + char)
return content
markdown_string = []
for i, region in enumerate(res):
if len(region["res"]) == 0:
continue
img_idx = region["img_idx"]
if region["type"].lower() == "figure":
img_file_name = "{}_{}.jpg".format(region["bbox"], img_idx)
markdown_string.append(
f"""<div align="center">\n\t<img src="{img_name+"/"+img_file_name}">\n</div>"""
)
elif region["type"].lower() == "title":
markdown_string.append(f"""# {region["res"][0]["text"]}""")
elif region["type"].lower() == "table":
markdown_string.append(region["res"]["html"])
elif region["type"].lower() == "header" or region["type"].lower() == "footer":
pass
elif region["type"].lower() == "equation" and "latex" in region["res"]:
markdown_string.append(f"""$${region["res"]["latex"]}$$""")
elif region["type"].lower() == "text":
merge_func = check_merge_method(region)
# logger.warning(f"use merge method:{merge_func.__name__}")
markdown_string.append(replace_special_char(merge_func(region)))
else:
string = ""
for line in region["res"]:
string += line["text"] + " "
markdown_string.append(string)
md_path = os.path.join(save_folder, "{}_ocr.md".format(img_name))
markdown_string = "\n\n".join(markdown_string)
markdown_string = re.sub(r"\n{3,}", "\n\n", markdown_string)
with open(md_path, "w", encoding="utf-8") as f:
f.write(markdown_string)
logger.info("markdown save to {}".format(md_path))

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@ -40,6 +40,15 @@ def init_args():
type=str,
default="../ppocr/utils/dict/table_structure_dict_ch.txt",
)
# params for formula recognition
parser.add_argument("--formula_algorithm", type=str, default="LaTeXOCR")
parser.add_argument("--formula_model_dir", type=str)
parser.add_argument(
"--formula_char_dict_path",
type=str,
default="../ppocr/utils/dict/latex_ocr_tokenizer.json",
)
parser.add_argument("--formula_batch_num", type=int, default=1)
# params for layout
parser.add_argument("--layout_model_dir", type=str)
parser.add_argument(
@ -89,6 +98,12 @@ def init_args():
default=True,
help="In the forward, whether the table area uses table recognition",
)
parser.add_argument(
"--formula",
type=str2bool,
default=False,
help="Whether to enable formula recognition",
)
parser.add_argument(
"--ocr",
type=str2bool,
@ -102,6 +117,12 @@ def init_args():
default=False,
help="Whether to enable layout of recovery",
)
parser.add_argument(
"--recovery_to_markdown",
type=str2bool,
default=False,
help="Whether to enable layout of recovery to markdown",
)
parser.add_argument(
"--use_pdf2docx_api",
type=str2bool,
@ -182,7 +203,9 @@ def draw_structure_result(image, result, font_path):
(box_layout[0], box_layout[1]), region["type"], fill=text_color, font=font
)
if region["type"] == "table":
if region["type"] == "table" or (
region["type"] == "equation" and "latex" in region["res"]
):
pass
else:
for text_result in region["res"]: