* Expose `rec_keys_path` in RapidOcrOptions to support custom dictionaries
- Added `rec_keys_path` to `RapidOcrOptions` to align with RapidOCR's capability to use custom character dictionaries.
- Passed `rec_keys_path` to `RapidOcrModel` initialization, ensuring the recognition model can load the correct dictionary (e.g., for Latin characters).
Signed-off-by: Yorick Terweijden <yorick@spread.ai>
* style(rapidocr-options): fix alignment of `rec_keys_path` comment
Adjusted the alignment of the comment for `rec_keys_path` to maintain consistent formatting. No functional changes were made.
Signed-off-by: Yorick Terweijden <yorick@spread.ai>
---------
Signed-off-by: Yorick Terweijden <yorick@spread.ai>
* Upgraded Layout Postprocessing, sending old code back to ERZ
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Implement hierachical cluster layout processing
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Pass nested cluster processing through full pipeline
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Pass nested clusters through GLM as payload
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Move to_docling_document from ds-glm to this repo
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Clean up imports again
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* feat(Accelerator): Introduce options to control the num_threads and device from API, envvars, CLI.
- Introduce the AcceleratorOptions, AcceleratorDevice and use them to set the device where the models run.
- Introduce the accelerator_utils with function to decide the device and resolve the AUTO setting.
- Refactor the way how the docling-ibm-models are called to match the new init signature of models.
- Translate the accelerator options to the specific inputs for third-party models.
- Extend the docling CLI with parameters to set the num_threads and device.
- Add new unit tests.
- Write new example how to use the accelerator options.
* fix: Improve the pydantic objects in the pipeline_options and imports.
Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com>
* fix: TableStructureModel: Refactor the artifacts path to use the new structure for fast/accurate model
Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com>
* Updated test ground-truth
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Updated test ground-truth (again), bugfix for empty layout
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* fix: Do proper check to set the device in EasyOCR, RapidOCR.
Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com>
* Rollback changes from main
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Update test gt
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Remove unused debug settings
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Review fixes
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
* Nail the accelerator defaults for MPS
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
---------
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com>
Co-authored-by: Christoph Auer <cau@zurich.ibm.com>
Co-authored-by: Christoph Auer <60343111+cau-git@users.noreply.github.com>
* adding rapidocr engine for ocr in docling
Signed-off-by: swayam-singhal <swayam.singhal@inito.com>
* fixing styling format
Signed-off-by: Swaymaw <swaymaw@gmail.com>
* updating pyproject.toml and poetry.lock to fix ci bugs
Signed-off-by: Swaymaw <swaymaw@gmail.com>
* help poetry pinning for python3.9
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
* simplifying rapidocr options so that device can be changed using a single option for all models
Signed-off-by: Swaymaw <swaymaw@gmail.com>
* fix styling issues and small bug in rapidOcrOptions
Signed-off-by: Swaymaw <swaymaw@gmail.com>
* use default device until we enable global management
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
---------
Signed-off-by: swayam-singhal <swayam.singhal@inito.com>
Signed-off-by: Swaymaw <swaymaw@gmail.com>
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
Co-authored-by: swayam-singhal <swayam.singhal@inito.com>
Co-authored-by: Michele Dolfi <dol@zurich.ibm.com>
