
* Skeleton for SmolDocling model and VLM Pipeline Signed-off-by: Christoph Auer <cau@zurich.ibm.com> Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * wip smolDocling inference and vlm pipeline Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * WIP, first working code for inference of SmolDocling, and vlm pipeline assembly code, example included. Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Fixes to preserve page image and demo export to html Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Enabled figure support in vlm_pipeline Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Fix for table span compute in vlm_pipeline Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Properly propagating image data per page, together with predicted tags in VLM pipeline. This enables correct figure extraction and page numbers in provenances Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Cleaned up logs, added pages to vlm_pipeline, basic timing per page measurement in smol_docling models Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Replaced hardcoded otsl tokens with the ones from docling-core tokens.py enum Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Added tokens/sec measurement, improved example Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Added capability for vlm_pipeline to grab text from preconfigured backend Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Exposed "force_backend_text" as pipeline parameter Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Flipped keep_backend to True for vlm_pipeline assembly to work Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Updated vlm pipeline assembly and smol docling model code to support updated doctags Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Fixing doctags starting tag, that broke elements on first line during assembly Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Introduced SmolDoclingOptions to configure model parameters (such as query and artifacts path) via client code, see example in minimal_smol_docling. Provisioning for other potential vlm all-in-one models. Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Moved artifacts_path for SmolDocling into vlm_options instead of global pipeline option Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * New assembly code for latest model revision, updated prompt and parsing of doctags, updated logging Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Updated example of Smol Docling usage Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Added captions for the images for SmolDocling assembly code, improved provenance definition for all elements Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Update minimal smoldocling example Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Fix repo id Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Cleaned up unnecessary logging Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * More elegant solution in removing the input prompt Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * removed minimal_smol_docling example from CI checks Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Removed special html code wrapping when exporting to docling document, cleaned up comments Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Addressing PR comments, added enabled property to SmolDocling, and related VLM pipeline option, few other minor things Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Moved keep_backend = True to vlm pipeline Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * removed pipeline_options.generate_table_images from vlm_pipeline (deprecated in the pipelines) Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Added example on how to get original predicted doctags in minimal_smol_docling Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * removing changes from base_pipeline Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Replaced remaining strings to appropriate enums Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Updated poetry.lock Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * re-built poetry.lock Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Generalize and refactor VLM pipeline and models Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Rename example Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Move imports Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Expose control over using flash_attention_2 Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Fix VLM example exclusion in CI Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Add back device_map and accelerate Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Make drawing code resilient against bad bboxes Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * chore: clean up code and comments Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * chore: more cleanup Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * chore: fix leftover .to(device) Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * fix: add proper table provenance Signed-off-by: Christoph Auer <cau@zurich.ibm.com> --------- Signed-off-by: Christoph Auer <cau@zurich.ibm.com> Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> Co-authored-by: Maksym Lysak <mly@zurich.ibm.com>
86 lines
2.8 KiB
Python
86 lines
2.8 KiB
Python
from docling_core.types.doc import DocItemLabel
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from PIL import Image, ImageDraw, ImageFont
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from PIL.ImageFont import FreeTypeFont
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from docling.datamodel.base_models import Cluster
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def draw_clusters(
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image: Image.Image, clusters: list[Cluster], scale_x: float, scale_y: float
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) -> None:
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"""
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Draw clusters on an image
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"""
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draw = ImageDraw.Draw(image, "RGBA")
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# Create a smaller font for the labels
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font: ImageFont.ImageFont | FreeTypeFont
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try:
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font = ImageFont.truetype("arial.ttf", 12)
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except OSError:
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# Fallback to default font if arial is not available
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font = ImageFont.load_default()
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for c_tl in clusters:
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all_clusters = [c_tl, *c_tl.children]
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for c in all_clusters:
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# Draw cells first (underneath)
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cell_color = (0, 0, 0, 40) # Transparent black for cells
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for tc in c.cells:
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cx0, cy0, cx1, cy1 = tc.bbox.as_tuple()
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cx0 *= scale_x
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cx1 *= scale_x
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cy0 *= scale_x
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cy1 *= scale_y
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draw.rectangle(
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[(cx0, cy0), (cx1, cy1)],
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outline=None,
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fill=cell_color,
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)
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# Draw cluster rectangle
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x0, y0, x1, y1 = c.bbox.as_tuple()
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x0 *= scale_x
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x1 *= scale_x
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y0 *= scale_x
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y1 *= scale_y
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if y1 <= y0:
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y1, y0 = y0, y1
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if x1 <= x0:
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x1, x0 = x0, x1
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cluster_fill_color = (*list(DocItemLabel.get_color(c.label)), 70)
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cluster_outline_color = (
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*list(DocItemLabel.get_color(c.label)),
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255,
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)
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draw.rectangle(
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[(x0, y0), (x1, y1)],
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outline=cluster_outline_color,
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fill=cluster_fill_color,
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)
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# Add label name and confidence
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label_text = f"{c.label.name} ({c.confidence:.2f})"
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# Create semi-transparent background for text
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text_bbox = draw.textbbox((x0, y0), label_text, font=font)
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text_bg_padding = 2
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draw.rectangle(
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[
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(
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text_bbox[0] - text_bg_padding,
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text_bbox[1] - text_bg_padding,
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),
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(
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text_bbox[2] + text_bg_padding,
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text_bbox[3] + text_bg_padding,
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),
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],
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fill=(255, 255, 255, 180), # Semi-transparent white
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)
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# Draw text
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draw.text(
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(x0, y0),
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label_text,
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fill=(0, 0, 0, 255), # Solid black
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font=font,
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)
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