GitLab

- Remove YOLO_VERBOSE environment variable from multiple files
- Set verbose=False in YOLOv8 prediction method to suppress logger output

fix(pdf): improve ligature handling and text extraction

- Move ligature replacement function to pdf_parse_union_core_v2.py
- Optimize ligature replacement using a more efficient approach
- Modify text extraction flags to preserve ligatures in PDF content
- Remove unnecessary function from ocr_mkcontent.py

docs: fix image path

feat: add batch prediction methods for YOLOv8 and Unimernet models

Docs/tune docs

remove old demo code

fix: remove deprecated code

perf(layout): optimize layout detection for PDF extraction

- Add initial setup for layout detection
- Implement conditional cropping for tall images
- Skip cropping for wide images to improve performance
- Reuse Image object across layout detection steps

Docs/refactor en docs

master->dev

Release 0.10.6

Dev->release

build(docker): add torch and torchvision dependencies

- Add torch>=2.2.2,<=2.3.1 to requirements-docker.txt- Add torchvision>=0.17.2,<=0.18.1 to requirements-docker.txt

Release 0.10.6

refactor(draw_bbox): remove redundant '_line_sort' suffix from output filename

refactor(draw_bbox): remove redundant '_line_sort' suffix from output  filename

- Updated the filename generation logic in the draw_bbox function
- Removed the unnecessary '_line_sort' suffix from the output PDF filename

- Remove unused import of ocr_model_init from magic_pdf.model.sub_modules.model_init
- Keep existing functionality and structure intact

fix: dup classify pdf type & improve layout detection for DocLayout_YOLO model 

feat(layout): improve layout detection for DocLayout_YOLO model

- Implement image cropping and pasting technique to enhance layout detection
- Adjust detected polygons to original image coordinates
- Add comments for better code readability