GitLab

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>

* 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>

* 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>

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.

A pre-release version0.6.2b1 of magic-pdf is now available. This version includes
many fixes addressed in our logs but has not undergone full QA testing. Users are
advised to report any issues encountered or revert to version 0.6.1. The installationguides in both Japanese and Chinese READMEs have been updated to reflect the availability
of this pre-release version and the previous stable version.

BREAKING CHANGE: Installation commands now point to version 0.6.2b1 by default.
Users who wish to install the stable version 0.6.1 should follow the provided
command instead.

- Emphasize the importance of mainline support for stability and reliability.
- Define the supported operating systems, CPU architectures, memory requirements,
  Python versions, Nvidia drivers, and CUDA environments.
- Provide guidance on GPU hardware support and minimum/recommended configurations.
- Include a note on compatibility issues and the importance of using the specified
  versions of dependencies.
- Update installation command and verify version to prevent incorrect package installations.
- Add missing GPU quick start guides for Ubuntu and Windows.
- Refactor usage example code by initializing an empty list for `model_list` and
  adding a call to `pipe.pipe_analyze()`.

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

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

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