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Home Page: https://docile.rossum.ai
License: MIT License
DocILE: Document Information Localization and Extraction Benchmark
Home Page: https://docile.rossum.ai
License: MIT License
pypdfium2 does not need an additional system package, is generally faster than poppler, and used by one of your dependencies already for this very purpose (doctr).
Disclaimer: I'm the author of pypdfium2 and found this repository through GH dependents network since pypdfium2
is listed in your poetry.lock
file.
On the website, it states that the dataset is for research purposes. Does this mean commercial applications are blocked from using the dataset? Or what is the specific licensing?
docker-compose build jupyter[-gpu]
ERROR: The Compose file './docker-compose.yml' is invalid because:
Unsupported config option for services.jupyter: 'deploy'
The docker option does not work. We also tried to pip install the .whl build but we couldn´t find the file. Could you please take a look
Thanks in advance.
from docile.dataset import load_predictions
KILE_PREDICTION_PATH=Path("../../data/docile/annotations/009bdcdec5c04cd3b2e31555.json")
kile_predictions = load_predictions(KILE_PREDICTION_PATH)
File c:\Users\erp\AppData\Local\Programs\Python\Python311\Lib\site-packages\docile\dataset\field.py:90, in (.0)
...
---> 37 dct_copy = dict(dct)
38 bbox = BBox(*(dct_copy.pop("bbox")))
40 # do not fail on extra keys (if participants save extra information), only warn.
ValueError: dictionary update sequence element #0 has length 1; 2 is required
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