eynollah

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Project: eynollah
Version: 0.3.1
Filename: eynollah-0.3.1-py3-none-any.whl
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MD5: 98201ac6a870dcdbc95e459c1cbf88d4
SHA256: 31e8df4580e731187648cabd541a27e803da126809f4f178f97512da5bed1699
Uploaded: 2024-08-27 12:59:44 +0000

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METADATA

Metadata-Version: 2.1
Name: eynollah
Version: 0.3.1
Summary: Document Layout Analysis
Author: Vahid Rezanezhad, Staatsbibliothek zu Berlin - Preußischer Kulturbesitz
Home-Page: https://github.com/qurator-spk/eynollah
Project-Url: Homepage, https://github.com/qurator-spk/eynollah
Project-Url: Repository, https://github.com/qurator-spk/eynollah.git
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Keywords: document layout analysis,image segmentation
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.8
Requires-Dist: ocrd (>=2.23.3)
Requires-Dist: numpy (<1.24.0)
Requires-Dist: scikit-learn (>=0.23.2)
Requires-Dist: tensorflow (==2.12.1)
Requires-Dist: imutils (>=0.5.3)
Requires-Dist: matplotlib
Requires-Dist: setuptools (>=50)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 6631 characters]

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top_level.txt

eynollah

entry_points.txt

eynollah = qurator.eynollah.cli:main
ocrd-eynollah-segment = qurator.eynollah.ocrd_cli:main