feat: Updated Layout processing with forms and key-value areas (#530)

* 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>

* fix: Correct the way to set GPU for EasyOCR, RapidOCR

Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com>

* fix: Ocr AccleratorDevice

Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com>

* Merge pull request #556 from DS4SD/cau/layout-processing-improvement

feat: layout processing improvements and bugfixes

* Update lockfile

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Update tests

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Update HF model ref, reset test generate

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Repin to release package versions

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Many layout processing improvements, add document index type

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Update pinnings to docling-core

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Update test GT

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Fix table box snapping

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Fixes for cluster pre-ordering

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Introduce OCR confidence, propagate to orphan in post-processing

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Fix form and key value area groups

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Adjust confidence in EasyOcr

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Roll back CLI changes from main

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Update test GT

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Update docling-core pinning

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Annoying fixes for historical python versions

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Updated test GT for legacy

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Comment cleanup

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: Nikos Livathinos <nli@zurich.ibm.com>

tests/data/groundtruth/docling_v1/2305.03393v1.md

@@ -1,8 +1,12 @@
 ## Optimized Table Tokenization for Table Structure Recognition
 
-Maksym Lysak [0000 - 0002 - 3723 - $^{6960]}$, Ahmed Nassar[0000 - 0002 - 9468 - $^{0822]}$, Nikolaos Livathinos [0000 - 0001 - 8513 - $^{3491]}$, Christoph Auer[0000 - 0001 - 5761 - $^{0422]}$, and Peter Staar [0000 - 0002 - 8088 - 0823]
+Maksym Lysak [0000 − 0002 − 3723 − $^{6960]}$, Ahmed Nassar[0000 − 0002 − 9468 − $^{0822]}$, Nikolaos Livathinos [0000 − 0001 − 8513 − $^{3491]}$, Christoph Auer[0000 − 0001 − 5761 − $^{0422]}$, [0000 − 0002 − 8088 − 0823]
 
-IBM Research {mly,ahn,nli,cau,taa}@zurich.ibm.com
+and Peter Staar
+
+IBM Research
+
+{mly,ahn,nli,cau,taa}@zurich.ibm.com
 
 Abstract. Extracting tables from documents is a crucial task in any document conversion pipeline. Recently, transformer-based models have demonstrated that table-structure can be recognized with impressive accuracy using Image-to-Markup-Sequence (Im2Seq) approaches. Taking only the image of a table, such models predict a sequence of tokens (e.g. in HTML, LaTeX) which represent the structure of the table. Since the token representation of the table structure has a significant impact on the accuracy and run-time performance of any Im2Seq model, we investigate in this paper how table-structure representation can be optimised. We propose a new, optimised table-structure language (OTSL) with a minimized vocabulary and specific rules. The benefits of OTSL are that it reduces the number of tokens to 5 (HTML needs 28+) and shortens the sequence length to half of HTML on average. Consequently, model accuracy improves significantly, inference time is halved compared to HTML-based models, and the predicted table structures are always syntactically correct. This in turn eliminates most post-processing needs. Popular table structure data-sets will be published in OTSL format to the community.