2.0 KiB

Raw Blame History

PaddleStructure

1. Introduction to pipeline

PaddleStructure is a toolkit for complex layout text OCR, the process is as follows

In PaddleStructure, the image will be analyzed by layoutparser first. In the layout analysis, the area in the image will be classified, and the OCR process will be carried out according to the category.

Currently layoutparser will output five categories:

Text
Title
Figure
List
Table

Types 1-4 follow the traditional OCR process, and 5 follow the Table OCR process.

2. LayoutParser

3. Table OCR

doc

4. PaddleStructure whl package introduction

4.1 Use

4.1.1 Use by code

import cv2
from paddlestructure import PaddleStructure,draw_result

table_engine = PaddleStructure(
    output='./output/table',
    show_log=True)

img_path = '../doc/table/1.png'
img = cv2.imread(img_path)
result = table_engine(img)
for line in result:
    print(line)

from PIL import Image

font_path = 'path/tp/PaddleOCR/doc/fonts/simfang.ttf'
image = Image.open(img_path).convert('RGB')
im_show = draw_result(image, result,font_path=font_path)
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')

4.1.2 Use by command line

paddlestructure --image_dir=../doc/table/1.png

参数说明

大部分参数和paddleocr whl包保持一致，见 whl包文档

字段	说明	默认值
output	excel和识别结果保存的地址	./output/table
structure_max_len	structure模型预测时，图像的长边resize尺度	488
structure_model_dir	structure inference 模型地址	None
structure_char_type	structure 模型所用字典地址	../ppocr/utils/dict/table_structure_dict.tx

2.0 KiB Raw Blame History Unescape Escape