Tried to extract tables from starcraft example but returns empty array [] ...

[StephDam]

Code :

import spacy
from spacy_layout import spaCyLayout
nlp = spacy.blank("en")
layout = spaCyLayout(nlp)

Process a document and create a spaCy Doc object

doc = layout("./starcraft.pdf")

Tables in the document and their extracted data

print(doc._.tables)

Result :

home/stephane/.local/lib/python3.10/site-packages/transformers/utils/generic.py:441: FutureWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/home/stephane/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
Fetching 9 files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:00<00:00, 10532.57it/s]
/usr/lib/python3/dist-packages/paramiko/transport.py:237: CryptographyDeprecationWarning: Blowfish has been deprecated and will be removed in a future release
"class": algorithms.Blowfish,
/home/stephane/.local/lib/python3.10/site-packages/easyocr/detection.py:85: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
net.load_state_dict(copyStateDict(torch.load(trained_model, map_location=device)))
/home/stephane/.local/lib/python3.10/site-packages/easyocr/recognition.py:182: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
model.load_state_dict(torch.load(model_path, map_location=device))
[]

[StephDam]

Is it possible to test the table extraction only on a zone of the document, if I specify the page and the box coordinates of the zone containing the table ? I would like to test this as a workaround.