GitLab

- Add pip install command for torch and torchvision
- Specify version2.3.1 for both packages
- Use Aliyun mirror for faster download

master->dev

Release 1.3.3

build(deps): downgrade dill to 0.3.8 for doclayout_yolo compatibility

build(deps): downgrade dill to 0.3.8 for doclayout_yolo compatibility

- Change dill dependency from >=0.3.9,<1 to >=0.3.8,<1
- Update dill version in both general and specific requirements

fix(magic_pdf): correct range for images in document analysis 

- Update the range used to generate images_with_extra_info to match the number of images
- This fixes a potential IndexError when the number of images differs from the dataset length

refactor(footnote_detection): adjust footnote detection threshold

refactor(footnote_detection): adjust footnote detection threshold

- Change footnote detection threshold from 50% of page height to 30%
- Improve accuracy of footnote identification in PDF processing

master->dev

build(docker): remove requirements.txt and update package installation

build(docker): remove requirements.txt and update package installation

build(docker): remove requirements.txt and update package installation

- Remove requirements.txt files for all Docker configurations
- Update package installation process in Dockerfiles:
- Use magic-pdf[full] instead of individual requirements
- Simplify installation steps and reduce image size
- Remove redundant wget commands for requirements.txt

Release 1.3.2

Dev

docs(readme): update release notes for English and Chinese README files

- 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

Dev

docs(README): update version history and installation instructions

- 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

feat(magic_pdf): add logging for batch image processing

- Add batch processing logs to track the progress of image analysis
- Display the current batch number, total batches, and the number of processed pages

build(setup): update package versions and constraints 

- Update matplotlib version range to >=3.10, <4
- Add version上限 for ultralytics: <9
- Remove redundant version ranges for full_old_linux

refactor(model): optimize batch processing and inference 

- Remove unnecessary line breaks and adjust indentation
- Update function call to use named arguments for better readability
- Modify _do_parse function call to use MakeMode.MM_MD instead of

- Update batch processing logic for improved efficiency
- Refactor image analysis and inference methods
- Optimize dataset handling and image retrieval
- Improve error handling and logging in batch processes

- Remove upper version limit for torch
- This change allows for greater flexibility in installing compatible torch versions

feat(gui): update language options and default settings

feat: inference with iter style