GitLab

fix: update output file documentation for mineru command and enhance content descriptions in output_file_en_us.md and output_file_zh_cn.md

fix: update FAQ entries for installation issues and error resolutions in FAQ_en_us.md and FAQ_zh_cn.md

- Deleted .readthedocs.yaml files from multiple directories
- Removed outdated API and user guide documentation files
- Deleted command line usage examples
- Removed CUDA acceleration guide

- Update version history in README.md and README_zh-CN.md
- Add details for 1.3.2 release and previous versions
- Update Windows CUDA acceleration installation instructions
- Refactor changelog entries for better readability and organization

- Update Python version requirements to >=3.10
- Simplify torch installation command- Remove numpy version restriction
- Update CUDA compatibility information
- Adjust environment creation commands across multiple documentation files

- Update torchvision version from0.21.1 to0.21.0 in Windows CUDA acceleration guides
- Update both English and Chinese versions of the documentation

- Remove unnecessary imports and code in batch_demo.py
- Update demo.py to use relative paths and improve code structure
- Adjust output directory structure in both scripts
- Remove redundant code and simplify functions

- Update CUDA version requirements to12.4
- Recommend nvidia-driver-570-server for Ubuntu
- Remove Python version specification for conda environment
- Update magic-pdf version requirement to 1.3.0
- Simplify CUDA acceleration testing instructions
- Remove OCR acceleration with paddlepaddle-gpu
- Update torch and torchvision installation instructions for Windows

- Add information about OS and CANN version compatibility
- Include details on high-performance mode and its requirements
- Update paddlepaddle-gpu installation instructions for CUDA acceleration
- Remove unnecessary empty line from changelog

- Add numpy version limit (<2.0.0) in the pip installation command for Windows CUDA acceleration
- Update both English and Chinese versions of the README

Added a new section in both English and Chinese FAQs addressing the issue where old GPUs like M40 encounter a RuntimeError due to unsupported BF16 precision. The guide includes steps to manually disable BF16 precision by modifying the relevant code in "pdf_parse_union_core_v2.py".

- Replace Gitee URLs with jsdelivr URLs in multiple files
- Update Dockerfile instructions to use new URLs
- Modify documentation to reflect new resource location
- Adjust scripts and READMEs to point to new URL for downloads

- Add separate models for Chinese/Japanese and English/French/German detection
- Implement mode-based detection to use appropriate models for different languages
- Update language detection process to use higher DPI for better accuracy
- Modify model initialization and prediction logic to support new language-specific models

- 修改 paddlepaddle 使用内嵌 onnx 模型的描述，明确仅支持中英文 ocr

- 在文档中明确指出，使用docker运行MinerU前需确保物理机已安装支持CANN 8.0.RC2的驱动和固件
- 此更新有助于用户更好地准备适配Ascend NPU的环境，避免潜在的运行问题

- Add new file README_Ascend_NPU_Acceleration_zh_CN.md in docs folder
- Update README.md and README_zh-CN.md to include link to new NPU acceleration guide
- Provide instructions for building and running Docker image for Ascend NPU
- List known issues and limitations when using Ascend NPU

- Specify torch==2.3.1 and torchvision==0.18.1 for Windows CUDA installation
- Add torch and torchvision version constraints in setup.py:
  - torch>=2.2.2,<=2.3.1
  - torchvision>=0.17.2,<=0.18.1
- Update installation instructions in both English and Chinese README files

- Remove specific version requirements for torch and torchvision
- Simplify installation command in both English and Chinese guides
- Delete important note about version compatibility

- Remove the download script from the `docs` directory and unify it in the `scripts` directory.
- Update the JSON template URL in the script to the master branch.
- Modify the script download link provided in the documentation.
- Update the table recognition model in the configuration template to `rapid_table`.