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Add assemble options and example saving pages and figures
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
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@ -265,3 +265,9 @@ class PipelineOptions(BaseModel):
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do_ocr: bool = False # True: perform OCR, replace programmatic PDF text
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table_structure_options: TableStructureOptions = TableStructureOptions()
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class AssembleOptions(BaseModel):
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remove_page_images: bool = (
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True # True: page images are removed in the assemble step
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)
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@ -14,6 +14,7 @@ from pydantic import AnyHttpUrl, TypeAdapter, ValidationError
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from docling.backend.abstract_backend import PdfDocumentBackend
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from docling.datamodel.base_models import (
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AssembledUnit,
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AssembleOptions,
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ConversionStatus,
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Page,
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PipelineOptions,
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@ -44,6 +45,7 @@ class DocumentConverter:
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pipeline_options: PipelineOptions = PipelineOptions(),
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pdf_backend: Type[PdfDocumentBackend] = DocumentConversionInput.DEFAULT_BACKEND,
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pipeline_cls: Type[BaseModelPipeline] = StandardModelPipeline,
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assemble_options: AssembleOptions = AssembleOptions(),
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):
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if not artifacts_path:
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artifacts_path = self.download_models_hf()
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@ -57,6 +59,7 @@ class DocumentConverter:
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self.page_assemble_model = PageAssembleModel(config={})
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self.glm_model = GlmModel(config={})
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self.pdf_backend = pdf_backend
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self.assemble_options = assemble_options
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@staticmethod
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def download_models_hf(
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@ -174,17 +177,23 @@ class DocumentConverter:
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pages_with_images,
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)
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# 4. Run pipeline stages
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pipeline_pages = self.model_pipeline.apply(pages_with_cells)
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# 7. Assemble page elements (per page)
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# 5. Assemble page elements (per page)
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assembled_pages = self.page_assemble_model(pipeline_pages)
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# exhaust assembled_pages
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for assembled_page in assembled_pages:
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# Free up mem resources before moving on with next batch
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assembled_page.image = (
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None # Comment this if you want to visualize page images
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)
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# Remove page images (can be disabled)
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if self.assemble_options.remove_page_images:
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assembled_page.image = (
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None # Comment this if you want to visualize page images
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)
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# Unload backend
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assembled_page._backend.unload()
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all_assembled_pages.append(assembled_page)
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87
examples/export_figures.py
Normal file
87
examples/export_figures.py
Normal file
@ -0,0 +1,87 @@
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import json
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import logging
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import time
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from pathlib import Path
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from typing import Iterable
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from docling.datamodel.base_models import (
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AssembleOptions,
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BoundingBox,
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ConversionStatus,
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CoordOrigin,
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PipelineOptions,
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)
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from docling.datamodel.document import ConvertedDocument, DocumentConversionInput
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from docling.document_converter import DocumentConverter
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_log = logging.getLogger(__name__)
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def export_figures(
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converted_docs: Iterable[ConvertedDocument],
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output_dir: Path,
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):
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output_dir.mkdir(parents=True, exist_ok=True)
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success_count = 0
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failure_count = 0
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for doc in converted_docs:
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if doc.status == ConversionStatus.SUCCESS:
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success_count += 1
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doc_filename = doc.input.file.stem
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for page in doc.pages:
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page_no = page.page_no + 1
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page_image_filename = output_dir / f"{doc_filename}-{page_no}.png"
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with page_image_filename.open("wb") as fp:
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page.image.save(fp, format="PNG")
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for fig_ix, fig in enumerate(doc.output.figures):
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page_no = fig.prov[0].page
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page_ix = page_no - 1
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x0, y0, x1, y1 = fig.prov[0].bbox
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crop_bbox = BoundingBox(
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l=x0, b=y0, r=x1, t=y1, coord_origin=CoordOrigin.BOTTOMLEFT
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).to_top_left_origin(page_height=doc.pages[page_ix].size.height)
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cropped_im = doc.pages[page_ix].image.crop(crop_bbox.as_tuple())
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fig_image_filename = output_dir / f"{doc_filename}-fig{fig_ix+1}.png"
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with fig_image_filename.open("wb") as fp:
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cropped_im.save(fp, "PNG")
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else:
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_log.info(f"Document {doc.input.file} failed to convert.")
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failure_count += 1
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_log.info(
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f"Processed {success_count + failure_count} docs, of which {failure_count} failed"
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)
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def main():
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logging.basicConfig(level=logging.INFO)
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input_doc_paths = [
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Path("./test/data/2206.01062.pdf"),
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]
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input_files = DocumentConversionInput.from_paths(input_doc_paths)
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assemble_options = AssembleOptions()
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assemble_options.remove_page_images = False
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doc_converter = DocumentConverter(assemble_options=assemble_options)
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start_time = time.time()
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converted_docs = doc_converter.convert(input_files)
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export_figures(converted_docs, output_dir=Path("./scratch"))
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end_time = time.time() - start_time
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_log.info(f"All documents were converted in {end_time:.2f} seconds.")
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if __name__ == "__main__":
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main()
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