https://github.com/jiangnanboy/table_structure_recognition

利用Swin-Unet(Swin Transformer Unet)实现对文档图片里表格结构的识别，Swin-unet (Swin Transformer Unet) is used to identify the document table structure
https://github.com/jiangnanboy/table_structure_recognition

swin-transformer-unet swin-unet table-recognition table-structure-recognition

Last synced: 5 months ago
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利用Swin-Unet(Swin Transformer Unet)实现对文档图片里表格结构的识别，Swin-unet (Swin Transformer Unet) is used to identify the document table structure

• Host: GitHub
• URL: https://github.com/jiangnanboy/table_structure_recognition
• Owner: jiangnanboy
• License: mit
• Created: 2024-02-23T12:49:38.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-02-23T12:50:24.000Z (over 2 years ago)
• Last Synced: 2025-05-18T13:49:41.176Z (about 1 year ago)
• Topics: swin-transformer-unet, swin-unet, table-recognition, table-structure-recognition
• Language: Python
• Homepage:
• Size: 5.32 MB
• Stars: 16
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.en.md
  • License: LICENSE

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README

          
[简体中文](README.md) | English

# Swin-unet (Swin Transformer Unet) is used to identify the document table structure 

![](img/architecture.png) 

## function   

- [x] Identify the lines in the doc table

- [ ] Convert results to excel

## download the weights model file   

Model file address：https://pan.baidu.com/s/1K2bxqqmZaOtPI1jeWN3Ygg 

password：w0yj

Copy the model.h5 to the model directory

## training（tensorflow2.5）     

See train.py in this project    

## prediction

See table_line_infer.py in this project

## identification result presentation

![](img/2.jpg) 

### table line detection

![](img/2_line.png) 

![](img/3.jpg) 

### table line detection

![](img/3_line.png) 

![](img/8.jpg) 

### table line detection

![](img/8_line.png) 

![](img/dd.jpg) 

### table line detection

![](img/dd_line.png) 

![](img/plane.png) 

### table line detection

![](img/plane_line.png)

![](img/table.png) 

### table line detection

![](img/table_line.png)    

## contact

1、github：https://github.com/jiangnanboy

2、blog：https://www.cnblogs.com/little-horse/

3、QQ:2229029156