GitLab

- Add base model structure for OCR in pytorch
- Implement data augmentation and transformation modules
- Create utilities for dictionary handling and state dict conversion
- Include post-processing modules for OCR
- Add weight initialization and loading functions

- Remove unnecessary addition of 1 when calculating lines for block height
- This change affects the logic for both potential double-column and triple-column structures

- Remove unnecessary addition of 1 when calculating lines for block height
- This change affects the logic for both potential double-column and triple-column structures

- Add condition to check for identical or space characters when resolving overlaps
- Skip non-conflicting character pairs to prevent unnecessary removals

fix: support auto method and auto lang

fix(magic_pdf): improve image resizing and padding in UnimerSwinn model

- Comment out margin cropping to prevent errors with broken files
- Refactor image resizing to preserve aspect ratio
- Update padding calculation and application using OpenCV

refactor(ocr): improve ONNX model initialization and resource handling

- Replace deprecated importlib.resources.path with importlib.resources.files
- Simplify code structure and improve readability
- Remove unnecessary comments and empty lines

feat(pre_proc): add function to remove x-overlapping characters in spans

- Implement `remove_x_overlapping_chars` function in `ocr_span_list_modify.py`
- Integrate the new function in `pdf_parse_union_core_v2.py` to process spans
- Remove unnecessary character replacement functions and comments

- Comment out LayoutLMv3, TableMaster, and StructEqTable models
- Update MFR model path to unimernet_hf_small_2503- Remove unused import in Unimernet.py

Dev push

- Remove separate condition for GPU memory >= 24GB
- Simplify logic to use a single threshold of 16GB

- Increase batch ratio to 32 for GPU memory >= 24GB
- Set batch ratio to 16 for GPU memory >= 16GB
- Reduce batch ratio to 8 for GPU memory >= 12GB
- Lower batch ratio to 4 for GPU memory >= 8GB
- Set batch ratio to 2 for GPU memory >= 6GB
- Keep batch ratio at 1 for lower GPU memory sizes

- Add bf_16_support check for CUDA and MPS devices
- Use bfloat16 precision for layoutreader model on supported devices
- Improve performance on devices with bf_16 support

refactor: remove torchtext deprecation warning handling

- Remove torchtext version check and deprecation warning handling from multiple files
- This code was unnecessary and potentially caused issues when torchtext was not installed

refactor(magic_pdf): remove unnecessary half() calls for CPU devices

- Remove half() calls for DocLayoutYOLO and YOLOv8 models
- This change prevents potential errors when running models on CPU

build(docker&setup): add ftfy package

- Added ftfy package to requirements.txt files for Ascend NPU, China, and Global Docker images
- This change ensures consistent text formatting across all supported platforms

- Add 'ftfy' package to the list of dependencies in setup.py
- This change ensures that the ftfy package is installed along with other dependencies when setting up the project

Dev push

- Add PaddleOCR model to the list of models to download
- Update download_models.py and download_models_hf.py scripts to include PaddleOCR
- Create user directory for PaddleOCR and copy downloaded models

- Update config version to1.2.0
- Refactor model initialization in model_init.py- Update dependencies in requirements.txt files
- Remove unused imports and models
- Add conditional imports for table models

- Add support for Apple M1 chips (mps device)
- Refactor image processing for better performance and compatibility
- Update model loading and inference for various devices
- Adjust batch processing and memory management

- Add UnimerMBartConfig and UnimerSwinConfig classes
- Implement UnimerSwinImageProcessor for image preprocessing- Create necessary __init__.py files for module structure

Remove pillow

refactor(ocr_mkcontent): improve title level handling and formatting

style: remove unused code

add support for more document types

- Move title level determination to the beginning of the Title block processing
- Add condition to include text_level only if it's not 0
- Adjust title level to 0 instead of 1 when it's less than 1