feat(experimental): Add experimental TableCropsLayoutModel (#2669)

* feat: Scaffolding for layout and table model plugin factory

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

* Add missing files

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

* Add base options classes for layout and table

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

* feat(experimental): Add experimental TableCropsLayoutModel

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

* Add example

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

---------

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

docs/examples/experimental/process_table_crops.py

@@ -0,0 +1,40 @@
+"""Run Docling on an image using the experimental TableCrops layout model."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import docling
+from docling.datamodel.document import InputFormat
+from docling.datamodel.pipeline_options import ThreadedPdfPipelineOptions
+from docling.document_converter import DocumentConverter, ImageFormatOption
+from docling.experimental.datamodel.table_crops_layout_options import (
+    TableCropsLayoutOptions,
+)
+from docling.experimental.models.table_crops_layout_model import TableCropsLayoutModel
+from docling.models.factories import get_layout_factory
+
+
+def main() -> None:
+    sample_image = "tests/data/2305.03393v1-table_crop.png"
+
+    pipeline_options = ThreadedPdfPipelineOptions(
+        layout_options=TableCropsLayoutOptions(),
+        do_table_structure=True,
+        generate_page_images=True,
+    )
+
+    converter = DocumentConverter(
+        allowed_formats=[InputFormat.IMAGE],
+        format_options={
+            InputFormat.IMAGE: ImageFormatOption(pipeline_options=pipeline_options)
+        },
+    )
+
+    conv_res = converter.convert(sample_image)
+
+    print(conv_res.document.tables[0].export_to_markdown())
+
+
+if __name__ == "__main__":
+    main()