GitLab

- 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

- Add regex patterns for replacing LaTeX symbols \fint and \up with their Unicode equivalents

- Add \textunderscore to the list of LaTeX patterns
- This allows the model to properly render underscore characters

- Improve \left and \right command handling in LaTeX formulas
- Enhance environment type matching for array, matrix, and other structures
- Refactor code for better readability and maintainability

- Refactor LaTeX left/right pair fixing logic for better balance
- Add environment detection and correction for common math environments
- Implement more robust whitespace handling and command substitution
- Optimize regex patterns for improved performance and readability

- Add functions to fix LaTeX left and right commands
- Implement brace matching and repair in LaTeX formulas
- Remove unnecessary whitespace and repair LaTeX code
- Replace specific LaTeX commands with appropriate alternatives
- Add logging for debugging purposes

- Add functions to fix LaTeX left and right commands
- Implement brace matching and repair in LaTeX formulas
- Remove unnecessary whitespace and repair LaTeX code
- Replace specific LaTeX commands with appropriate alternatives
- Add logging for debugging purposes

- Preserve "\ " sequences during whitespace removal
- Add temporary substitution to prevent incorrect processing of "\ " sequences
- Restore "\ " sequences after removing unnecessary whitespace

- Replace get_device() function call with direct 'device' variable usage
- Simplify device configuration in OCR model initialization

- 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

- Automatically change to ch_lite model when using CPU for Chinese OCR
- This modification improves performance on CPU devices

- Add text region handling in get_res_list_from_layout_res function
- Implement remove_overlaps_min_blocks function to handle overlapping blocks
- Update OCR region handling to include text regions
- Improve overlap resolution for all regions in layout results

- 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

- 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

- 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

- Import os and pathlib modules to handle file paths
- Define the path to the slanet-plus model
- Update RapidTableInput initialization to include the model path

- Refactor VRAM detection logic for better readability and efficiency
- Add fallback mechanism for unknown VRAM sizes
- Improve device checking in get_vram function

- Update table recognition logic to process each table individually
- Refactor layout detection to use tqdm for progress tracking
- Optimize OCR recognition by using a single tqdm wrapper
- Improve MFR prediction with a more accurate progress bar
- Simplify MFD prediction by removing unnecessary total calculation

- Add tqdm progress bar to batch prediction loops in multiple model modules
- Improve logging and error handling in batch analysis script
- Update table model initialization to use default sub-model if none specified
- Add tqdm dependency to requirements.txt

- Replace ch_PP-OCRv4_det_infer.pth with ch_PP-OCRv3_det_infer.pth in models_config.yml
- Add new ch_PP-OCRv3_det_infer model configuration in arch_config.yaml

- Remove unnecessary GPU checks and cuda() calls
- Consolidate tensor device placement using .to(self.device)
- Add warning suppression for cleaner output
- Refactor conditional logic for better readability

- 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 PyMuPDF to version <1.25.0
- Update pydantic to version <2.11
- Update transformers to version < 5.0.0
- Remove always_apply parameter from alb.ToGray in image processing

- Update the default configuration path in pytorchocr_utility.py
- Add required dependencies for paddleocr2pytorch in setup.py:
  - shapely
  - pyclipper
  - omegaconf

- Remove unused UniMERNet and LayoutLMv3 model configurations
- Update OCR model path and dictionary path for PaddleOCR
- Modify README to update system requirements and installation instructions
- Update setup.py to include new package data

- Add newline at the beginning of arabic_dict.txt
- Change mode of multiple dictionary files

- Remove OCR utils, modified PaddleOCR, and StructEqTable model
- Delete related import statements and model definitions
- Update dependencies in setup.py to remove paddlepaddle and related OCR packages

- Comment out print statements in base_ocr_v20.py and pytorch_paddle.py
- Update table model initialization to use lang parameter instead of ocr_engine
- Remove unused RapidOCR initialization in rapid_table.py

- Remove unused OCR dictionaries for Arabic, Belarusian, Bulgarian and Armenian languages
- Update model configurations in arch_config.yaml:
- Comment out 'out_channels' for various language models
  - Rename Arabic, Korean, Japanese, Tamil and Devanagari model configurations to use 'v3' instead of 'v4'
- Delete ar_dict.txt, be_dict.txt and bg_dict.txt files
- Update arabic_dict.txt to remove blank line at the start

- Remove unused imports and code
- Simplify model architecture by removing unnecessary components
- Update initialization and forward pass logic
- Rename variables for consistency

- Add support for multiple languages in OCR processing
- Create separate lists for each language to improve processing efficiency
- Update OCR model initialization to use PytorchPaddleOCR instead of ModifiedPaddleOCR
- Modify get_ocr_result_list function to include language information- Improve logging for OCR detection and recognition

- Split OCR process into detection and recognition stages
- Update batch analysis and document analysis pipelines
- Modify OCR result formatting and handling
- Remove unused imports and optimize code structure

- Add base model structure for OCR in pytorch
- Implement data augmentation and transformation modules
- Create utilities for dictionary handling and state dict conversion
- Include post-processing modules for OCR
- Add weight initialization and loading functions

- Comment out margin cropping to prevent errors with broken files
- Refactor image resizing to preserve aspect ratio
- Update padding calculation and application using OpenCV

- Replace deprecated importlib.resources.path with importlib.resources.files
- Simplify code structure and improve readability
- Remove unnecessary comments and empty lines

- Comment out LayoutLMv3, TableMaster, and StructEqTable models
- Update MFR model path to unimernet_hf_small_2503- Remove unused import in Unimernet.py

- Remove half() calls for DocLayoutYOLO and YOLOv8 models
- This change prevents potential errors when running models on CPU

- Update config version to1.2.0
- Refactor model initialization in model_init.py- Update dependencies in requirements.txt files
- Remove unused imports and models
- Add conditional imports for table models