# RapidLayoutRecover

**Repository Path**: RapidAI/RapidLayoutRecover

## Basic Information

- **Project Name**: RapidLayoutRecover
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-08-20
- **Last Updated**: 2024-09-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 🚀 Work In Progress

整体功能还没开发完哈！欢迎加入一起搞

## 🔍 Rapid Layout Recover

该项目主要针对文档类图像做版面还原，将文档类图像一比一输出到Word或者Txt中，便于进一步使用或处理。

## 🛠️ 整体框架

以下为整体框架依赖包，均为RapidAI出品。

- [rapid_orientation](https://github.com/RapidAI/RapidStructure/blob/main/docs/README_Orientation.md)
- [rapid_layout](https://github.com/RapidAI/RapidLayout)
- [rapid_table](https://github.com/RapidAI/RapidTable)
- [rapid_latex_ocr](https://github.com/RapidAI/RapidLatexOCR)
- [rapidocr_onnxruntime](https://github.com/RapidAI/RapidOCR)
- [rapidocr_layout_recover](https://github.com/RapidAI/RapidLayoutRecover)

```mermaid
flowchart TD
    A[/文档图像/] --> B([文档方向分类 rapid_orientation]) --> C([版面分析 rapid_layout])
    C --> D([表格识别 rapid_table]) & E([公式识别 rapid_latex_ocr]) & F([文字识别 rapidocr_onnxruntime]) --> G([版面还原 rapid_layout_recover])
    G --> H[/结构化输出/]
```

## 📑 输入和输出

- 输入：文档类图像
- 输出：TXT或Word

## 💻 安装运行环境

```bash
pip install -r requirements.txt
```

## 🚀 运行Demo

```bash
git clone https://github.com/RapidAI/RapidLayoutRecover.git
cd RapidLayoutRecover
python demo.py
```

## 📈 结果示例

⚠️注意：之所以提取结果没有分段，是因为版面分析模型没有段落检测功能。现有开源的所有版面分析模型都没有段落检测功能，这个后续会考虑自己训练一个版面分析模型来优化这里。

<div aligin="left">
  <img src="https://github.com/RapidAI/RapidLayoutRecover/releases/download/v0.0.0/demo.png">

</div>

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