
* Add DoclingParseV3 backend implementation Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Use docling-core with docling-parse types Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Fixes and test updates Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Fix streams Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Fix streams Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Reset tests Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * update test cases Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * update test units Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Add back DoclingParse v1 backend, pipeline options Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Update locks Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * fix: update docling-core to 2.22.0 Update dependency library docling-core to latest release 2.22.0 Fix regression tests and ground truth files Signed-off-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com> * Ground-truth files updated Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Update tests, use TextCell.from_ocr property Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Text fixes, new test data Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Rename docling backend to v4 Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Test all backends, fixes Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Reset all tests to use docling-parse v1 for now Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Fixes for DPv4 backend init, better test coverage Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * test_input_doc use default backend Signed-off-by: Christoph Auer <cau@zurich.ibm.com> --------- Signed-off-by: Christoph Auer <cau@zurich.ibm.com> Signed-off-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com> Co-authored-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.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.rect.to_bounding_box().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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