GitLab

- Remove concurrency limit logic from app.py
- Update model initialization process in various modules
- Remove unused VRAM check for concurrency limit
- Refactor OCR model initialization in pdf_extract_kit.py
- Update txt_spans_extract_v2 function to use lang parameter instead of ocr_model

- Remove usage of AtomModelSingleton for OCR model creation
- Add ocr_model_init function to initialize OCR model
- Update OCR model initialization in pdf_extract_kit.py and pdf_parse_union_core_v2.py
- Modify txt_spans_extract_v2 function to accept ocr_model as a parameter
- Update parse_page_core function to use ocr_model instead of lang for OCR processing

- Add threading support for OCR model initialization
- Modify AtomModelSingleton to handle thread-specific instances
- Update PDFExtractKit and PDFParseUnionCoreV2 to use new thread-safe OCR initialization

- Remove threading.Lock import and usage
- Delete unused model initialization comments and code- Simplify OCR model initialization in both pdf_extract_kit.py and pdf_parse_union_core_v2.py

- Remove usage of AtomModelSingleton for OCR model initialization- Use ocr_model_init function for creating OCR model instance
- Update import statement to include ocr_model_init- Comment out old OCR model initialization code

- Remove usage of AtomModelSingleton for OCR model initialization
- Add import of ocr_model_init from model_init module
- Update OCR model initialization process to use ocr_model_init function
- Remove lock for OCR processing as it's no longer needed

- Remove usage of ModelSingleton class
- Initialize model directly using custom_model_init function
- Add self._lock attribute to PDFExtractKit class for thread safety- Replace local lock with self._lock for OCR processing

- Remove unnecessary threading.Lock in AtomModelSingleton
- Add threading.Lock to CustomPEKModel for OCR processing
- Simplify model initialization logic in AtomModelSingleton

- Add condition to return existing model if already initialized
- Improve efficiency by avoiding redundant model creation

- Introduce a lock to synchronize access to OCR model initialization- This change improves thread safety when multiple threads access the OCR model concurrently
- The lock ensures that the OCR model is initialized only once, even in multi-threaded scenarios

- Update VRAM checking logic in app.py and model_utils.py
- Add None and type checks for VRAM values
- Adjust concurrency limit calculation in app.py
- Modify clean_vram function to handle cases with no VRAM information

- Add get_concurrency_limit function to calculate concurrency limit based on VRAM
- Update clean_vram function and rename to get_vram for better clarity
- Apply concurrency limit to the to_markdown function in the Gradio app

- Decrease the maximum width and height from 9000 to 4500 pixels
- This change aims to prevent excessive resource usage when rendering PDFs

- Updated cut_image.py to check for NoneType imageWriter
- Prevents AttributeError when imageWriter is not provided

- Decrease the line height multiplier from 0.8 to 0.7 for both left and right sides
- This modification aims to improve the accuracy of paragraph splitting

- Remove overlap between bboxes for block separation
- Sort bboxes by combined x and y coordinates for better layout handling
- Comment out previous overlap removal function

- Extract language detection to block level instead of line level
- Improve logic for handling Chinese, Japanese, and Korean languages
- Refactor code for better readability and performance
- Optimize handling of hyphenated words at line ends

- Introduce language detection to determine line spacing based on language context
- Implement different spacing rules for Chinese/Japanese/Korean and Western texts
- Adjust span content handling based on detected language and span type

- Introduce `span_height_radio` parameter to calculate_char_in_span function
- Replace fixed ratio with dynamic ratio for character and span axis alignment
- Improve flexibility and accuracy of character placement within spans

- Add empty paragraph handling for pages with no content
- Append an empty markdown object when a page has no paragraphs
- Increment page number even if no content is present

- Add LINE_START_FLAG tuple to identify starting flags of a line
- Modify calculate_char_in_span function to handle both line start and stop flags
- Remove redundant char_is_line_stop_flag variable and simplify logic
- Improve line flag detection to enhance text extraction accuracy

- Replace pdfminer with PyMuPDF for character detection
- Implement new method detect_invalid_chars_by_pymupdf
- Update check_invalid_chars in pdf_meta_scan.py to use new method
- Add __replace_0xfffd function in pdf_parse_union_core_v2.py to handle special characters
- Remove unused imports and update requirements.txt

- Remove unused language detection code
- Simplify text content processing logic
- Update span sorting and text extraction in pdf_parse_union_core_v2.py

- Add direction filtering to ignore highly skewed text lines
- Improve text extraction accuracy by focusing on non-skewed content

- Add language detection for each block of text
- Implement language-specific logic for right margin alignment
- Introduce logging for debugging purposes

fix(Hybrid OCR):Enable Hybrid OCR for Empty Spans That Contain a Certain Number of Placeholders but No Actual Text

- Remove unused function `calculate_angle_degrees`- Refactor `calculate_is_angle` to use directly in OCR processing
- Eliminate unnecessary loop index `idx` in OCR processing loops

- Remove commented-out code in ocr_dict_merge.py
- Improve imports and code organization in ocr_detect_all_bboxes.py
- Delete unnecessary empty lines and improve code readability

- Remove unused imports from commons.py
- Delete unused functions related to AWS and S3 operations
- Update import statements in other modules to reflect changes in commons.py
- Remove redundant code and improve code readability

- Decrease the maximum image size threshold from 9000 to 4500 pixels
- This change aims to improve performance and reduce memory usage
- Affects the custom model document analysis process

- Remove unused imports and functions across multiple files
- Simplify code by deleting unnecessary comments and empty lines
- Update function signatures to match actual usage
- Replace redundant code with more efficient alternatives