Redesign the structure of the readme.md to make the document hierarchy...

Redesign the structure of the readme.md to make the document hierarchy clearer, making it easier for users to understand.

README_zh-CN_v2.md

+<div align="center">
+<!-- logo -->
+<p align="center">
+  <img src="docs/images/MinerU-logo.png" width="300px" style="vertical-align:middle;">
+</p>
+
+
+<!-- icon -->
+[![stars](https://img.shields.io/github/stars/opendatalab/MinerU.svg)](https://github.com/opendatalab/MinerU)
+[![forks](https://img.shields.io/github/forks/opendatalab/MinerU.svg)](https://github.com/opendatalab/MinerU)
+[![open issues](https://img.shields.io/github/issues-raw/opendatalab/MinerU)](https://github.com/opendatalab/MinerU/issues)
+[![issue resolution](https://img.shields.io/github/issues-closed-raw/opendatalab/MinerU)](https://github.com/opendatalab/MinerU/issues)
+[![PyPI version](https://badge.fury.io/py/magic-pdf.svg)](https://badge.fury.io/py/magic-pdf)
+[![Downloads](https://static.pepy.tech/badge/magic-pdf)](https://pepy.tech/project/magic-pdf)
+[![Downloads](https://static.pepy.tech/badge/magic-pdf/month)](https://pepy.tech/project/magic-pdf)
+<a href="https://trendshift.io/repositories/11174" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11174" alt="opendatalab%2FMinerU | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+
+<!-- language -->
+[English](README.md) | [简体中文](README_zh-CN.md) | [日本語](README_ja-JP.md)
+
+
+<!-- hot link -->
+<p align="center">
+<a href="https://github.com/opendatalab/MinerU">MinerU: 端到端的PDF解析工具（基于PDF-Extract-Kit）支持PDF转Markdown</a>🚀🚀🚀<br>
+<a href="https://github.com/opendatalab/PDF-Extract-Kit">PDF-Extract-Kit: 高质量PDF解析工具箱</a>🔥🔥🔥
+</p>
+
+<!-- join us -->
+<p align="center">
+    👋 join us on <a href="https://discord.gg/AsQMhuMN" target="_blank">Discord</a> and <a href="https://cdn.vansin.top/internlm/mineru.jpg" target="_blank">WeChat</a>
+</p>
+
+</div>
+
+
+# 更新记录
+
+- 2024/07/18 首次开源
+
+
+<!-- TABLE OF CONTENT -->
+<details open="open">
+  <summary><h2 style="display: inline-block">文档目录</h2></summary>
+  <ol>
+    <li>
+      <a href="#mineru">MinerU</a>
+      <ul>
+        <li><a href="#introduction">MinerU简介</a></li>
+        <li><a href="#key-features">主要功能</a></li>
+        <li><a href="#getting-started">快速开始</a></li>
+        <li><a href="#usage">使用</a></li>
+        <li><a href="#使用GPU">使用</a></li>
+      </ul>
+    </li>
+    <li><a href="#todo">TODO</a></li>
+    <li><a href="#known-issue">Known Issue</a></li>
+    <li><a href="#faq">FAQ</a></li>
+    <li><a href="#all-thanks-to-our-contributors">Contributors</a></li>
+    <li><a href="#license-information">License Information</a></li>
+    <li><a href="#acknowledgments">Acknowledgements</a></li>
+    <li><a href="#citation">Citation</a></li>
+    <li><a href="#star-history">Star History</a></li>
+    <li><a href="#magic-doc">magic-doc快速提取PPT/DOC/PDF</a></li>
+    <li><a href="#magic-html">magic-html提取混合网页内容</a></li>
+    <li><a href="#links">Links</a></li>
+  </ol>
+</details>
+
+
+
+# MinerU
+## Introduction
+Magic-PDF 是一款将 PDF 转化为 markdown 格式的工具。支持转换本地文档或者位于支持S3协议对象存储上的文件。
+
+## Key Features
+
+- 删除页眉、页脚、脚注、页码等元素，保持语义连贯
+- 符合人类阅读顺序的排版格式
+- 保留原文档的结构和格式，包括标题、段落、列表等
+- 提取图像、图片标题、表格、表格标题
+- 自动识别文档中的公式并将公式转换成latex
+- 乱码PDF自动检测并启用OCR
+- 支持CPU和GPU环境
+- 支持windows/linux/mac平台
+
+
+## Getting Started
+
+如果遇到任何问题，请先查询<a href="#faq">FAQ</a>
+如果遇到效果不及预期，查询<a href="#known-issue">Known Issue</a>
+有3种不同方式可以体验MinerU的效果：
+- 在线体验
+- 使用CPU快速体验（Windows，Linux，Mac）
+- Linux/Windows + GPU
+
+### Online Demo
+
+[在线体验点击这里](TODO)
+
+### 使用CPU快速体验
+
+```bash
+ command to install magic-pdf[full]
+```
+
+
+### 使用GPU
+- [ubuntu22.04 + GPU]()
+- [windows10/11 + GPU]()
+
+
+## Usage
+
+### 命令行
+
+TODO
+
+### API
+
+处理本地磁盘上的文件
+```python
+image_writer = DiskReaderWriter(local_image_dir)
+image_dir = str(os.path.basename(local_image_dir))
+jso_useful_key = {"_pdf_type": "", "model_list": model_json}
+pipe = UNIPipe(pdf_bytes, jso_useful_key, image_writer)
+pipe.pipe_classify()
+pipe.pipe_parse()
+md_content = pipe.pipe_mk_markdown(image_dir, drop_mode="none")
+```
+
+处理对象存储上的文件
+```python
+s3pdf_cli = S3ReaderWriter(pdf_ak, pdf_sk, pdf_endpoint)
+image_dir = "s3://img_bucket/"
+s3image_cli = S3ReaderWriter(img_ak, img_sk, img_endpoint, parent_path=image_dir)
+pdf_bytes = s3pdf_cli.read(s3_pdf_path, mode=s3pdf_cli.MODE_BIN)
+jso_useful_key = {"_pdf_type": "", "model_list": model_json}
+pipe = UNIPipe(pdf_bytes, jso_useful_key, s3image_cli)
+pipe.pipe_classify()
+pipe.pipe_parse()
+md_content = pipe.pipe_mk_markdown(image_dir, drop_mode="none")
+```
+
+详细实现可参考 
+- [demo.py 最简单的处理方式](demo/demo.py)
+- [magic_pdf_parse_main.py 能够更清晰看到处理流程](demo/magic_pdf_parse_main.py)
+
+
+### 二次开发
+
+TODO
+
+# TODO
+
+
+# Known Issue
+- 阅读顺序基于规则的分割，在一些情况下会乱序
+- 列表、代码块、目录在layout模型里还没有支持
+- 漫画书、艺术图册、小学教材、习题尚不能很好解析
+
+好消息是，这些我们正在努力实现！
+
+# FAQ
+[常见问题](docs/FAQ_zh_cn.md)
+[FAQ](docs/FAQ.md)
+
+
+# All Thanks To Our Contributors
+
+<a href="https://github.com/opendatalab/MinerU/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=opendatalab/MinerU" />
+</a>
+
+# License Information
+
+[LICENSE.md](LICENSE.md)
+
+The project currently leverages PyMuPDF to deliver advanced functionalities; however, its adherence to the AGPL license may impose limitations on certain use cases. In upcoming iterations, we intend to explore and transition to a more permissively licensed PDF processing library to enhance user-friendliness and flexibility.
+
+# Acknowledgments
+
+- [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
+- [PyMuPDF](https://github.com/pymupdf/PyMuPDF)
+- [fast-langdetect](https://github.com/LlmKira/fast-langdetect)
+- [pdfminer.six](https://github.com/pdfminer/pdfminer.six)
+
+# Citation
+
+```bibtex
+@article{he2024opendatalab,
+  title={Opendatalab: Empowering general artificial intelligence with open datasets},
+  author={He, Conghui and Li, Wei and Jin, Zhenjiang and Xu, Chao and Wang, Bin and Lin, Dahua},
+  journal={arXiv preprint arXiv:2407.13773},
+  year={2024}
+}
+
+@misc{2024mineru,
+    title={MinerU: A One-stop, Open-source, High-quality Data Extraction Tool},
+    author={MinerU Contributors},
+    howpublished = {\url{https://github.com/opendatalab/MinerU}},
+    year={2024}
+}
+```
+
+# Star History
+
+<a>
+ <picture>
+   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=opendatalab/MinerU&type=Date&theme=dark" />
+   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=opendatalab/MinerU&type=Date" />
+   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=opendatalab/MinerU&type=Date" />
+ </picture>
+</a>
+
+# Magic-doc
+[Magic-Doc](https://github.com/InternLM/magic-doc) Fast speed ppt/pptx/doc/docx/pdf extraction tool
+
+# Magic-html
+[Magic-HTML](https://github.com/opendatalab/magic-html) Mixed web page extraction tool
+
+# Links
+
+- [LabelU (A Lightweight Multi-modal Data Annotation Tool)](https://github.com/opendatalab/labelU)
+- [LabelLLM (An Open-source LLM Dialogue Annotation Platform)](https://github.com/opendatalab/LabelLLM)
+- [PDF-Extract-Kit (A Comprehensive Toolkit for High-Quality PDF Content Extraction)](https://github.com/opendatalab/PDF-Extract-Kit)
+
+
+
+
+
+