GitLab

feat(table): upgrade RapidTable to1.0.3 and add sub-model support

- Modify the batch analyze process to handle the rapid table model's output
- Add logic_points variable to capture additional output from rapid table prediction

- Update rapid-table version from ==0.3.0 to >=1.0.3,<2.0.0 in multiple requirements files
- This change affects Ascend NPU, China, and Global Docker configurations

- Update RapidTable dependency to version 1.0.3
- Add support for sub-models in RapidTable
- Update magic-pdf configuration to include table sub-model
- Modify table model initialization to support sub-models
- Update table prediction logic to handle new output format

docs(README): update demo badges

- Update OpenDataLab badge to new design

- Update OpenDataLab badge to new design

fix(magic_pdf): correct end page index and improve error handling

- Adjust end_page_id calculation to prevent IndexError when accessing pages
- Enhance error handling in LLM post-processing by specifically catching JSONDecodeError

refactor(magic_pdf): improve title block merging logic

- Rename and update merge_title_blocks function
- Implement merge_two_bbox helper function
- Refactor merging logic to preserve original block structure- Update function calls and integrate with existing pipeline

feat(model): improve batch analysis logic and support npu

- Add support for NPU (Neural Processing Unit) when available
- Implement batch analysis for GPU and NPU devices
- Optimize memory usage and improve performance
- Update logging and error handling

build(docker): update doclayout-yolo dependency

- Remove doclayout_yolo==0.0.2b1 and doclayout-yolo==0.0.2
- Add doclayout-yolo==0.0.2b1 to all requirements files

update logo

fix(language): remove invalid UTF-16 surrogate pairs from input text

- Add `remove_invalid_surrogates` function to filter out invalid UTF-16 surrogate pairs
- Integrate the new function into the `detect_lang` workflow
- Include a test case with UTF-16 surrogates to verify the fix

docs(magic_pdf): update llm_aided.py prompt for title list optimization

- Clarify the expected format for the optimized title list JSON output- Emphasize the need to return only the title levels in the specified format

refactor(pre_proc): adjust IOU threshold for character overlap detection

- Modified the IOU threshold in ocr_span_list_modify.py from 0.9 to 0.35
- This change aims to improve the detection of overlapping characters in OCR processed PDFs

feat(post_proc): enhance title block processing with average line height

- Add average line height calculation for title blocks
- Include page number in title dictionary
- Improve title optimization prompt for better hierarchy- Implement retry mechanism for JSON decoding errors
- Add error logging for title count mismatch

feat(layout): improve title block handling and layout detection

- Merge title blocks that are close to each other horizontally
- Adjust line insertion logic for title blocks- Increase image size and decrease confidence threshold for layout detection
- Update DocLayoutYOLO model weights
- Refactor drawing of bounding boxes for different block types

build(deps): add upper version limit for PyMuPDF

- Set PyMuPDF version to <= 1.24.14 in all requirements files
- Prevent potential compatibility issues with future versions

Update pdf_parse_union_core_v2.py

docs/replace log