GitLab

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

- Remove OCR engine instantiation inside the loop
- Pass language directly to the table model instead of OCR engine
- Simplify code structure and improve readability

- Add '.jpeg' to the list of supported image extensions in app.py and read_api.py
- Update projects READMEs to indicate that web_demo is deprecated

- Remove specific Chinese font list and detailed font checking
- Add logging warning if no Chinese fonts are detected
- Make font checking more robust and less platform-specific

- Temporarily disable Chinese font check for Windows systems
- This change allows bypassing the font check when the required fonts are not present

- Modify `ocr_detect_all_bboxes.py` to return footnote blocks
- Update `pdf_parse_union_core_v2.py` to handle footnote blocks in line sorting and layout splitting
- This change improves the accuracy of layout analysis by considering footnote blocks separately

- 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

- 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

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

- 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

- 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

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

- 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

- 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

- 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

- Comment out OCR timing measurement code to improve readability and performance
- Remove unnecessary logging of OCR processing time

- Remove unused imports and comments
- Increase MIN_BATCH_INFERENCE_SIZE from 100 to 200
- Comment out VRAM cleaning and logging in batch_analyze.py
- Simplify code in doc_analyze_by_custom_model.py- Add tqdm progress bar in pdf_parse_union_core_v2.py
- Enable tqdm in OCR processing

- 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