GitLab

fix: update README to clarify licensing implications of YOLO models and future plans for permissive alternatives

feat: update README and README_zh-CN to reflect MinerU 2.0 features, installation instructions, and usage examples

feat(docs): update changelog for PP-OCRv5 model support and handwritten document recognition enhancements

- Adjust the threshold for considering tables inside other tables from2 to 3
- Add support for custom formula delimiters through user configuration
- Pin pdfminer.six to version 20250324 to prevent parsing failures

- Improve formula parsing success rate for better formula rendering
- Upgrade pdfminer.six to the latest version to fix PDF parsing issues- Update changelog in both English and Chinese README files

- Add new Chinese OCR model (ch_PP-OCRv4_rec_server_doc_infer) for server-side use
- Update language support in app.py to include new Chinese model
- Modify models_config.yml to add new model configuration

- Fix lang parameter ineffectiveness during table parsing model initialization
- Resolve significant slowdown in OCR and table parsing speed in CPU mode
- Update changelog in README.md and README_zh-CN.md

- Fix lang parameter ineffectiveness during table parsing model initialization
- Resolve significant slowdown in OCR and table parsing speed in CPU mode
- Update changelog in README.md and README_zh-CN.md

- Update README.md and README_zh-CN.md with the latest changes
- Add new release notes for version 1.3.4
- Include improvements in OCR detection speed and page-level sorting

- Update version history in both English and Chinese README files
- Add note about model update required for fixing word concatenation issue- Ensure consistency between English and Chinese versions

- 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

- Correct version number from 1.3.2 to 1.3.1 in both README.md and README_zh-CN.md
- Update changelog entries for the latest release

- Update version number from 1.3.1 to 1.3.2

- Update version from1.3.1 to 1.3.2 in both English and Chinese README files
- Keep other content unchanged

- Add project URLs in setup.py for better discoverability
- Make consistent changes across README.md and README_zh-CN.md

- 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

- Remove duplicate entries for paddleocr2torch and thread safety
- Add new entry for real-time progress bar implementation
- Update mfr model to unimernet(2503)
- Extend torch version compatibility
- Enhance cuda support for various GPU models
- Improve parsing speed on MPS devices

- Update release notes in both English and Chinese README files
- Highlight major optimizations and improvements in version 1.3.0
- Clarify compatibility changes for torch, CUDA, and Python versions
- Emphasize performance improvements and parsing speed enhancements
- Mention specific bug fixes and parsing effect optimizations

- Update changelog for version 1.3.0 release
- Clarify CUDA and GPU compatibility improvements
- Add information about batch processing speed improvements
- Update model download process and memory usage optimizations
- Include link to batch processing demo script

- Remove outdated comments in table-config examples
- Add tqdm to requirements in all Docker environments

- Add RapidOCR and PaddleOCR2Pytorch to the Acknowledgments list in README.md
- Add RapidOCR and PaddleOCR2Pytorch to the Acknowledgments list in README_zh-CN.md

- Installation and compatibility optimizations:
- Replace PaddleOCR with paddleocr2torch to resolve conflicts between Paddle and PyTorch
  - Remove layoutlmv3 usage to solve compatibility issues with detectron2
  - Extend PyTorch version compatibility to2.2~2.6  - Extend CUDA compatibility to 11.8~12.6
  - Extend Python version compatibility to 3.10~3.12

- Performance optimizations:
 - Support batch processing for multiple PDF files
  - Optimize mfr model loading and usage to reduce memory consumption and improve speed
  - Reduce minimum memory requirement to 6GB
  - Improve running speed on MPS devices

- Parsing effect optimization:
  - Update mfr model to unimernet(2503) to fix line break issues in multi-line formulas

- Update Python version requirement to 3.10-3.12
- Expand CUDA environment options to 11.8/12.4/12.6
- Update GPU VRAM requirement to 6GB or more
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