GitLab

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

- Add functions to calculate IoU, check if tables are inside each other, and merge tables
- Implement table merging for high IoU tables
- Add filtering to remove nested tables that don't overlap but cover a large area
- Update table_res_list and layout_res to reflect these changes

docs: update version number in README files

- 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

Dev

docs(README): update version number and changelog in README files

- Update version number from 1.3.1 to 1.3.2

refactor(ocr): improve OCR score precision to three decimal places

- Update OCR score formatting in batch_analyze.py and pdf_parse_union_core_v2.py
- Change score rounding method to preserve three decimal places
- Enhance accuracy representation without significantly altering the score value

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

Release 1.3.1

Dev

docs: update badges and project URLs- Update PyPI version badge to us…

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

fix(table): add model path for slanet-plus to resolve RapidTableError