docs: Describe examples (#2262)

* Update .py examples with clearer guidance,
update out of date imports and calls

Signed-off-by: Mingxuan Zhao <43148277+mingxzhao@users.noreply.github.com>

* Fix minimal.py string error, fix ruff format error

Signed-off-by: Mingxuan Zhao <43148277+mingxzhao@users.noreply.github.com>

* fix more CI issues

Signed-off-by: Mingxuan Zhao <43148277+mingxzhao@users.noreply.github.com>

---------

Signed-off-by: Mingxuan Zhao <43148277+mingxzhao@users.noreply.github.com>
This commit is contained in:
Mingxuan Zhao
2025-09-16 10:00:38 -04:00
committed by GitHub
parent 0e95171dd6
commit ff351fd40c
21 changed files with 608 additions and 85 deletions

View File

@@ -1,12 +1,30 @@
# %% [markdown]
# Inspect the contents associated with each picture in a converted document.
#
# What this example does
# - Converts a PDF and iterates over each PictureItem.
# - Prints the caption and the textual items contained within the picture region.
#
# How to run
# - From the repo root: `python docs/examples/inspect_picture_content.py`.
#
# Notes
# - Uncomment `picture.get_image(doc).show()` to visually inspect each picture.
# - Adjust `source` to point to a different PDF if desired.
# %%
from docling_core.types.doc import TextItem
from docling.datamodel.base_models import InputFormat
from docling.datamodel.pipeline_options import PdfPipelineOptions
from docling.document_converter import DocumentConverter, PdfFormatOption
# Change this to a local path if desired
source = "tests/data/pdf/amt_handbook_sample.pdf"
pipeline_options = PdfPipelineOptions()
# Higher scale yields sharper crops when inspecting picture content.
pipeline_options.images_scale = 2
pipeline_options.generate_page_images = True
@@ -19,7 +37,7 @@ result = doc_converter.convert(source)
doc = result.document
for picture in doc.pictures:
# picture.get_image(doc).show() # display the picture
# picture.get_image(doc).show() # display the picture
print(picture.caption_text(doc), " contains these elements:")
for item, level in doc.iterate_items(root=picture, traverse_pictures=True):