GitLab

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

- Remove unused 'layoutlmv3' model option
- Update language options to include new 'add_lang' list
- Set default language to 'ch' (Chinese)
- Comment out old 'all_lang' definition for future reference

refactor(ocr): comment out det_count update and update OCR models

- Comment out the line that updates det_count in batch_analyze.py
- Add a new OCR model configuration for Chinese (ch_lite) in models_config.yml- Update the Chinese OCR model configuration to use a different recognition model

fix(dataset): correct variable for language detection

- Change `bits` to `self._data_bits` for language detection
- This fixes the TypeError when opening PDF files

fix(ocr): handle NaN values in recognition scores, feat(table): add orientation detection and rotation for portrait tables

- Simplify aspect ratio calculation using direct coordinate subtraction
- Remove unnecessary list append operation
- Improve code readability and performance in table rotation detection

- Implement table orientation detection to identify if a table is in portrait mode
- Add rotation logic to turn portrait tables 90 degrees clockwise before OCR
- Update OCR processing to work with potentially rotated images
- Improve text box analysis to determine if a table is rotated

- Update predict_rec.py to check for NaN values in recognition results
- Replace NaN scores with 0.0 to ensure stability and consistency

fix: support page range

feat(model): improve table recognition by merging and filtering tables