GitLab

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

- Calculate median span height to identify vertical spans
- Use PyMuPDF's 'dict' output to fill vertical spans with lines

- Add OCR score to span dictionary when OCR text is applied
- Improve data integrity by including confidence score

- Add confidence score threshold to filter out low confidence OCR results
- Improve OCR accuracy by ignoring less certain detections

- Add checks for uppercase character start in the first span of a block

- Optimize character sorting for accurate text assembly
- Handle empty char scenarios to prevent errors
- Remove unnecessary comments and improve code readability
- Enhance OCR text content handling by removing low-confidence spans

- Merge useful_spans and unuseful_spans handling
- Simplify overlap ratio calculation and block type checking
- Remove unnecessary span removal and re-addition

fix(pdf_parse): Move the logic for filling text content into spans before the discarded_block recognition to fix the issue of empty text blocks in discarded_block.

- Add null check for OCR results to prevent errors on empty lists
- Enhance robustness of OCR text processing in the magic-pdf project

- Move page total time logging to doc_analyze_by_custom_model.py
- Remove page total time logging from pdf_extract_kit.py
- Add page_start timing variable to custom model analysis
- Update logger output format for page total time

- Add a null check for OCR result in the predict method
- Return None values if OCR result is None to prevent further processing

- Add '-' and '–' to LINE_STOP_FLAG in pdf_parse_union_core_v2.py
- Remove unused debug_mode parameter from para_split function in para_split_v3.py

- Add an additional condition to the line stop flag check
- Ensure character is to the right of the span's left boundary
- This change helps reduce false positives in line stop detection

- Implement new text extraction method (txt_spans_extract_v2) to enhance accuracy
- Add character filling in spans for better text reconstruction
- Introduce empty span handling using OCR for missed text
- Optimize span filtering and overlap removal

- Update OCR utils to handle different box formats and improve angle calculation
- Modify PDF extraction kit to support OCR option and optimize processing flow
- Enhance PPOCR model to sort and filter detection boxes, improving text splitting accuracy

- Improve logic to skip dropped spans in overlap detection
- Enhance efficiency by avoiding unnecessary comparisons

- fix the bug where hyphens in the middle of a line are being discarded

- Add threshold parameter to merge_spans_to_line function
- Make threshold configurable for y-axis overlap check
- Improve flexibility and accuracy of line merging algorithm

- Check if language string is empty and set it to None
- This prevents potential errors when an empty language string is passed

- Introduce a variable threshold for right margin based on block width
- Use 0.26 * block_weight for wider blocks (block_weight_radio >= 0.5)
- Use 0.36 * block_weight for narrower blocks- This change aims to improve paragraph splitting accuracy for different block widths