GitLab

- Update instructions for AI-generated titles optimization
- Use ast.literal_eval() instead of json.loads() for parsing completion content
- Refactor variable names and logging for better code readability- Add error handling for JSON decoding issues

fix: ut

Fix/caption match

- Add numpy version limit (<2.0.0) in the pip installation command for Windows CUDA acceleration
- Update both English and Chinese versions of the README

- Add installation of paddle_custom_npu wheel for Ascend NPU support
- Update Dockerfile to include new package installation step

fix: caption match algorithm

Update web_api

Also add some documentation.

fix(pdf_parse): Fixed the issue where some headings were missing in certain complex layouts.

docs(readme): update Docker run commands and environment setup

build(deps): update dependency versions

- Update PaddlePaddle from 3.0.0b1 to 3.0.0rc1 in Dockerfiles
- Update RapidOCR dependencies to specific versions in requirements.txt files
- Update requirements for all Docker configurations (china, global, ascend_npu)

- Update PaddlePaddle to 3.0.0rc1 for Linux and macOS

- Update rapidocr-paddle dependency to version >=1.4.5, <2.0.0- Update rapidocr_onnxruntime dependency to version >=1.4.4, <2.0.0

refactor(model): integrate Ascend plugin for NPU support

- Move environment variable settings for NPU, MPS, and other configurations to the global scope in doc_analyze_by_custom_model.py
- Remove redundant environment variable settings in pdf_extract_kit.py
- This change ensures consistent configuration across the application and avoids potential conflicts or duplicate settings

- Remove redundant imports for StructTableModel and TableMasterPaddleModel
- Reorder imports to group related modules together
- Update import structure for better readability and maintainability

- Remove unused utility functions
- Update import statements for better readability
- Add conditional imports for Ascend plugin
- Refactor table model initialization to support NPU

feat(pdf_parse): improve OCR processing and contrast filtering 

- Update calculate_contrast function to support both RGB and BGR image modes
- Add input validation for image mode in calculate_contrast function
- Modify usage of calculate_contrast function in OCR processing to specify image mode

- Increase batch size from 8 to 256 for language detection inference
- Add timing measurement for language detection process

- Rename empty_spans to need_ocr_spans for better clarity
- Add calculate_contrast function to measure image contrast
- Filter out low-contrast spans to improve OCR accuracy
- Update OCR processing workflow to use new filtering method

- Uncomment detect_invalid_chars_by_pymupdf function call
- Comment out detect_invalid_chars function call