The restriction on the matplotlib version has been updated to only apply on Windows
platforms, where precompiled packages are not available starting from version 3.9.1.
This change enables users on Linux and macOS to install newer versions of matplotlib,
addressing compatibility issues with recent bug fixes.

fix(dependencies): remove unnecessary pypandoc and struct-eqtable packages;fix matplotlib>=3.9.1 not support Windows system without compilation environment.

Update the README documents to clarify that the "models-dir" in the
configuration should be an absolute path. Also, provide additional guidance
for Windows users on how to correctly format the path to avoid common issues
with path escaping in JSON files.

Add instructions to download the magic-pdf.template.json file using wget on
Ubuntu and a PowerShell script on Windows in the respective README files.
This is to facilitate the setup process by providing direct download options,
replacing manual file transfers.

add demo url

Add a note in the README_zh-CN_v2.md to clarify the availability of GPU
acceleration for devices supporting CUDA, directing users to specific
tutorials based on their operating system.

Update the install commands in both Ubuntu and Windows CUDA Acceleration
guides to specify Magic-PDF version 0.6.2b1, ensuring consistency andavoiding potential version mismatches.

Update the FAQ to clarify the dependency installation issue when using magic-pdf. Ensure
users are directed to install the specific version of magic-pdf that resolves the dependency
error, rather than listing all individual dependencies. This simplifies the troubleshooting process
and provides a direct solution for users encountering the "Required dependency not installed"
error.

Update the download methods for models in the Chinese documentation to reflect
the latest options available from ModelScope. Simplify the section titles and
revise download instructions for clarity and consistency.

Update the documentation to reflect the latest model download procedures, emphasis on
model file integrity checks, and expanded instructions for setting up CUDA accelerationon Ubuntu and Windows environments. The README files for various OS have been
enhanced with additional details to assist users in configuring and verifying their
environments for optimal performance.

Update the Chinese documentation to include detailed steps for installingmagic-pdf using CPU and GPU. These updates clarify the process for end
users, addressing common issues such as configuration file placement and
model weight file downloads. The documentation now provides users with
direct links and version validation steps to ensure a smoother installation
experience.

* # add table recognition using struct-eqtable
## Changelog
31/07/20204
- Support table recognition. Table images will be converted into html.

### how to use the new feature:
set the attribute 'table-mode' to 'true' in magic-pdf.json

### caution:
it takes 200s to 500s to convert a single table image using cpu

* # add table recognition using struct-eqtable
## Changelog
31/07/20204
- Support table recognition. Table images will be converted into LaTex.

### how to use the new feature:
set the attribute 'table-mode' to 'true' in magic-pdf.json

### caution:
it takes 200s to 500s to convert a single table image using cpu

* # feat(model inference): add table recognition and convertion to LaTeX

# What's Changed

### New Features

- Add table content recognition, we use weights of [StructEqTable](https://github.com/UniModal4Reasoning/StructEqTable-Deploy) to convert table image to LaTex.

### Instruction

- pip install pypandoc struct-eqtable==0.1.0
- Download [StructEqTable weights](https://huggingface.co/wanderkid/PDF-Extract-Kit/tree/main/models/TabRec) and put it under models/ directory.
- Edit 'table-mode' value to turn on table recognition function which is turned off by default.
- If you did not download any models before, refer to [how to download models](docs/how_to_download_models_zh_cn.md)。

* add table recognition and convertion to LaTeX

* add table recognition and conversion to LaTeX

* add table recognition and conversion to LaTeX

* add table recognition and conversion to LaTeX

---------
Co-authored-by: liukaiwen <liukaiwen@pjlab.org.cn>

- Fix the description of the 'poly' coordinate format in the output file documentation to correctly reflect the order of coordinates: left-top, right-top, right-bottom,
  left-bottom.
- Update various table-related descriptions for clarity and consistency, including
  field names and their corresponding explanations.
- Add version name field description in 'middle.json' structure to document the
  version of the magic-pdf used in the parsing process.
- Refactor the block and line description tables to improve readability and alignment
  with the rest of the documentation.

* feat: remove dummpy code, magic_pdf/cli, magic_pdf/train_utils

* feat: expose version in command line

---------
Co-authored-by: shenguanlin <shenguanlin@pjlab.org.cn>

- Adjust command installation format for PaddlePaddle GPU.
- Clarify instruction numbering for testing OCR acceleration.

Update the Ubuntu CUDA Acceleration setup guide to reflect the correct user directory
path and improve the clarity of instructions. Remove references to Windows and macOS
as they are out of scope for this document. Ensure the configuration file copying
command is correctly represented for Linux users.

Update the link to the magic-pdf.template.json configuration template file in the
README_Ubuntu_CUDA_Acceleration_zh_CN.md document. The file path was previously
incorrect and has been amended to point to the correct location.

Update the instruction in README_Ubuntu_CUDA_Acceleration_zh_CN.md to reference
the correct section number for downloading the model weights. This change ensures
that users are directed to the correct location in the document for setting up the
model directory in the magic-pdf.json configuration.

docs: update Ubuntu CUDA acceleration guide for version 0.6.2- Add steps for Ubuntu 22.04 LTS installation.
- Detail the process of checking, installing, and configuring NVIDIA drivers.
- Include instructions for installing Anaconda and creating a specific environment.
- Provide guidance on installing magic-pdf and its dependencies.
- Add a note to verify magic-pdf version and report issues if necessary.
- Describe the process of downloading models and configuring the application.
- Include a sample command to run the application with CUDA acceleration.
- Add a note for enabling OCR CUDA acceleration with specific GPU requirements.

This update ensures users have the latest information for setting up CUDA accelerationwith magic-pdf on Ubuntu 22.04 LTS, specifically for version 0.6.2, and provides clearer
instructions on the installation and configuration process.

Restructured the how-to download models document for better clarity and
added sections on downloading models from ModelScope, including SDK and
Git download methods. Provided detailed steps for installing Git LFS and
checking model integrity after download. Also included recommendations
for moving the models to an SSD for better performance.

* feat: refractor cli command

* feat: add docs to describe the output files of cli

* feat: resove review comments

* feat: updat docs about middle.json

---------
Co-authored-by: shenguanlin <shenguanlin@pjlab.org.cn>

Update how_to_download_models_en.md

Change the URLs in the installation instructions to new mirrors that are expected to provide faster downloads for users. This update affects the installation guides for both detectron2 and magic-pdf in the Chinese documentation.

Update how_to_download_models_zh_cn.md

Reorganize the installation instructions for Magic-PDF to clarify the dependency on
detectron2 and provide a more straightforward installation process. The update includes
separating the dependency installation from the package installation and adding a note
about precompiled wheels for Python 3.10.

BREAKING CHANGE: The installation guide now assumes basic familiarity with detectron2
installation requirements. Users who need to compile detectron2 from source should refer
to the official detectron2 documentation.

Update the PyTorch installation command in the README files for both English and Chinese
versions to reflect the required version compatibility with CUDA 11.8. Include explicit
instructions to specify the PyTorch version to avoid automatic installation of higher,
unsupported versions. Additionally, clarify the importance of modifying the "device-mode"
parameter in the magic-pdf.json configuration file for proper CUDA device selection.