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pero-indexer

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0.1.0 pero_indexer-0.1.0-py3-none-any.whl

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Project: pero-indexer
Version: 0.1.0
Filename: pero_indexer-0.1.0-py3-none-any.whl
Download: [link]
Size: 29605
MD5: 44951226d2549662c3918c953cb23a39
SHA256: 1c34e2186429f3a560aec2a99ab57ed2302ddf29b20d1e26332a2a4932eed5a5
Uploaded: 2023-01-06 02:40:57 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: pero-indexer
Version: 0.1.0
Summary: Toolkit for information extraction from image documents
Author-Email: Michal Hradiš <hradis[at]fit.vutbr.cz>
Project-Url: homepage, https://pero.fit.vutbr.cz/
Project-Url: repository, https://github.com/DCGM/pero-indexer
Keywords: Information extraction,Semi-structured data,OCR
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: pero-ocr
Requires-Dist: pandas
Requires-Dist: transformers
Requires-Dist: whoosh
Description-Content-Type: text/markdown
[Description omitted; length: 89 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
pero_indexer/helper.py sha256=VvQzaMkBDD0HN6e4GImyzfTlB_fxNMohEsSShW4_ug8 7066
pero_indexer/NER/convert_dataset.py sha256=7Cmv2Lgroz1uphaYjgACeyAcHzjYW2iEQPGTBG8_o2Y 1365
pero_indexer/NER/create_lmdb.py sha256=rE4Nj6GC5PUs0ClB9IX0eQFt0ekb8e1t98o_sGGOrBw 1141
pero_indexer/NER/dataset.py sha256=G4S-zEWksTo8lTW_h_AVRdA3MY12toerE44uC3YK3Yw 6512
pero_indexer/NER/helper.py sha256=SvWSlK2dOki6x_cmM86liqm3ETHSWmK26p_OXfWYN04 9519
pero_indexer/NER/inference.py sha256=iF2mWr_Hcy2yMTMKJqtQDA8jQ5BPUFcClyY-8YJUmwk 6847
pero_indexer/NER/model.py sha256=nT-atG7LH-Ho515xHG_L6uNV7uz_hJXqaN-zldvtWXU 2120
pero_indexer/NER/sequence_lengths.py sha256=BhrbRCPhPNZu7WuIFhuRJ7h4tXBoyiAe1FRmNtEJ7Q8 760
pero_indexer/NER/test.py sha256=sclsnEfS-qg6k0hmqlrr5RANSSEz6dYN71kytoqiQ8g 1627
pero_indexer/NER/tester.py sha256=EX5O2aREsd0R3uLPKVrdlFF7ag2hAZUest-l5xUZE3g 1693
pero_indexer/NER/train.py sha256=NMi69c5FqfdNCqimwTXyB0cQn3SHeJmXrwvO0oC6d5s 4301
pero_indexer/NER/trainer.py sha256=h1FRBM_9GT-Z257MKlor9KvCAbDyn7UBNHdDeVn29JY 3275
pero_indexer/alignment/align_levenshtein.py sha256=Cfx2H8nwBt2bCbf2U_tHHkZKjCq6YBmI_x8IadKw6k8 13232
pero_indexer/alignment/merge_alignment_annotations.py sha256=Lez3SR46ZJVePMY-byvzn2B1EY3qcw7mZ3lSGf6XfHE 1372
pero_indexer/alignment/preprocess.py sha256=FHjxlD3k9cZ5wOIvPiIc7pL1hULZfRcuMC07GBpIGqw 1890
pero_indexer/alignment/timeout.py sha256=FX7x912Z5PMZC-0eq-rLYQSAL4pmqLY2xItgC4YNPUo 729
pero_indexer/library_cards/filter_bib_db.py sha256=V_apcaE8KTtHA8L7jyqfJIElsvBtzyWc1zn7BqDj_EU 3349
pero_indexer/library_cards/index_build_bib.py sha256=O9jI5_3n4D2h-wlyE8M6b-IEWAF790suf2Pls8tY2PI 843
pero_indexer/library_cards/matching_cards.py sha256=H3rVOml9fGsrnTGsw0L0tql-r3TfzExzKMpsMa7KKVA 3495
pero_indexer/library_cards/matching_util.py sha256=j9fvRAtf_jwKzXj1OQAQgpM2Zt87qpMOas1wSGSVjCI 2564
pero_indexer-0.1.0.dist-info/METADATA sha256=02y34E_NSyjK-zuyPIfqFdM1aGjUoRIYIB96uCpWeNc 737
pero_indexer-0.1.0.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
pero_indexer-0.1.0.dist-info/entry_points.txt sha256=aBdhDgN9i91rqFoMie4ZRjIDaenNK-4ImPk_Eu1yFK8 574
pero_indexer-0.1.0.dist-info/top_level.txt sha256=EuRjZlmRLsxrhZ6ceSPINmGuslgDF6Edwd8ylV5XmTU 13
pero_indexer-0.1.0.dist-info/RECORD — —

top_level.txt

pero_indexer

entry_points.txt

[console_scripts]
align-records = pero_indexer.alignment.align_levenshtein:main
build-db-index = pero_indexer.library_cards.index_build_bib:main
get-readable-output = pero_indexer.NER.convert_dataset:main
match-cards-to-db = pero_indexer.library_cards.matching_cards:main
postprocess-alignment = pero_indexer.alignment.merge_alignment_annotations:main
preprocess-alignment = pero_indexer.alignment.preprocess:main
preprocess-library-db = pero_indexer.library_cards.filter_bib_db:main
run-aligner = pero_indexer.NER.inference:main
train-aligner = pero_indexer.NER.train:main