Wheelodex » Projects » docling-ibm-models

docling-ibm-models

View on PyPI — Reverse Dependencies (2)

2.0.3 docling_ibm_models-2.0.3-py3-none-any.whl

Wheel Details

Project: docling-ibm-models
Version: 2.0.3
Filename: docling_ibm_models-2.0.3-py3-none-any.whl
Download: [link]
Size: 65967
MD5: 15e3059e163f618288d98303cc3112ce
SHA256: 49e6d5eb8ca87bbee1a2aa95cddd2570ca303e87b7135d089eb5c52a61c0841c
Uploaded: 2024-10-30 16:46:52 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: docling-ibm-models
Version: 2.0.3
Summary: This package contains the AI models used by the Docling PDF conversion package
Author: Nikos Livathinos
Author-Email: nli[at]zurich.ibm.com
License: MIT
Keywords: docling,convert,document,pdf,layout model,segmentation,table structure,table former
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10,<4.0
Requires-Dist: Pillow (<11.0.0,>=10.0.0)
Requires-Dist: huggingface_hub (<1,>=0.23)
Requires-Dist: jsonlines (<4.0.0,>=3.1.0)
Requires-Dist: lxml (<5.0.0,>=4.9.1)
Requires-Dist: mean_average_precision (<2022.0.0.0,>=2021.4.26.0)
Requires-Dist: numpy (<2.0.0,>=1.24.4); python_version < "3.13"
Requires-Dist: numpy (<3.0.0,>=2.1.0); python_version >= "3.13"
Requires-Dist: opencv-python-headless (<5.0.0.0,>=4.6.0.66)
Requires-Dist: torch (<3.0.0,>=2.2.2)
Requires-Dist: torchvision (<1,>=0)
Requires-Dist: tqdm (<5.0.0,>=4.64.0)
Description-Content-Type: text/markdown
[Description omitted; length: 5486 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.9.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
docling_ibm_models/layoutmodel/layout_predictor.py sha256=5JijEajVGy-vwMDOxDemcbtqlyjFWfWfnCcjMyj5Y_A 5405
docling_ibm_models/tableformer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
docling_ibm_models/tableformer/common.py sha256=2zgGZBFf4fXytEaXrZR2NU6FWdX2kxO0DHlGZmuvpNQ 3230
docling_ibm_models/tableformer/data_management/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
docling_ibm_models/tableformer/data_management/functional.py sha256=kJntHEXFz2SP7obEcHyjAqZNZC9qh-U75MwUJALLADI 3143
docling_ibm_models/tableformer/data_management/matching_post_processor.py sha256=41GLMlkMAY1pkc-elP3ktFgZLCHjscghaHfgIVn2168 57998
docling_ibm_models/tableformer/data_management/tf_cell_matcher.py sha256=GaBW5px3xX9JaHVASZArKiQ-qfrzX0oj-E_6P3-OvuU 21238
docling_ibm_models/tableformer/data_management/tf_predictor.py sha256=J_AjIGnpT0SkSV12comBlDa8Ga86WnsyJvKkIok4ohs 38834
docling_ibm_models/tableformer/data_management/transforms.py sha256=NNaz_7GI7FCVmu_rJuenqH5VfzRSljJHUHpNQQ8Mq3Q 2983
docling_ibm_models/tableformer/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
docling_ibm_models/tableformer/models/common/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
docling_ibm_models/tableformer/models/common/base_model.py sha256=SbCjeEvDmGnyoKYhB5pYeg2LFVQdArglfrhqkuW1nUw 10030
docling_ibm_models/tableformer/models/table04_rs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
docling_ibm_models/tableformer/models/table04_rs/bbox_decoder_rs.py sha256=JV9rFh9caT3qnwWlZ0CZpw5aiiNzyTbfVp6H6JMxS0Q 6117
docling_ibm_models/tableformer/models/table04_rs/encoder04_rs.py sha256=iExmqJ0Pn0lJU3nWb_x8abTn42GctMqE55_YA2ppgvc 1975
docling_ibm_models/tableformer/models/table04_rs/tablemodel04_rs.py sha256=Mv17JGgO12hIt8jrnflWLgOimdFYkBLuV0rxaGawBpk 12266
docling_ibm_models/tableformer/models/table04_rs/transformer_rs.py sha256=nhnYFlXT5KyJMdB4qMo5r8GimWXVy0lcqcmoHPEl-KE 6416
docling_ibm_models/tableformer/otsl.py sha256=oE_s2QHTE74jXD0vsXCuya_woReabUOBg6npprEqt58 21069
docling_ibm_models/tableformer/settings.py sha256=UlpsP0cpJZR2Uk48lgysYy0om3fr8Xt3z1xzvlTw5j4 3067
docling_ibm_models/tableformer/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
docling_ibm_models/tableformer/utils/app_profiler.py sha256=Pb7o1zcikKXh7ninaNt4_nVa1xuUrogZxbTr6U6jkEE 8392
docling_ibm_models/tableformer/utils/mem_monitor.py sha256=ycZ07fUBVVKKLTVGF54jGPDM2aTkKuZWk1kMbOS0wwQ 6353
docling_ibm_models/tableformer/utils/torch_utils.py sha256=uN0rK9mSXy1ewBnBnILrWebJhhVU4N-XJZBqNiLJwlQ 8893
docling_ibm_models/tableformer/utils/utils.py sha256=8Bxf1rEn977lFbY9NX0r5xh9PvxIRipQZX_EZW92XfA 10980
docling_ibm_models-2.0.3.dist-info/LICENSE sha256=mBb7ErEcM8VS9OhiGHnQ2kk75HwPhr54W1Oiz3965MY 1088
docling_ibm_models-2.0.3.dist-info/METADATA sha256=Jsj7RDyKoRjrtCNegy-NSfXTpWC22la_3LRSYWYozk4 6971
docling_ibm_models-2.0.3.dist-info/WHEEL sha256=sP946D7jFCHeNz5Iq4fL4Lu-PrWrFsgfLXbbkciIZwg 88
docling_ibm_models-2.0.3.dist-info/RECORD — —