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Project: ocrd-fork-tfaip
Version: 1.2.7
Filename: ocrd_fork_tfaip-1.2.7-py3-none-any.whl
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METADATA

Metadata-Version: 2.1
Name: ocrd-fork-tfaip
Version: 1.2.7
Summary: Python-based research framework for developing, organizing, and deploying Deep Learning models powered by Tensorflow.
Author: PLANET AI GmbH
Author-Email: admin[at]planet-ai.de
Maintainer: bertsky
Home-Page: https://github.com/bertsky/tfaip
License: GPL-v3.0
Keywords: machine learning,tensorflow,framework
Requires-Python: >=3.7
Requires-Dist: ocrd-fork-adabelief-tf
Requires-Dist: dataclasses-json
Requires-Dist: GitPython
Requires-Dist: imageio
Requires-Dist: nptyping
Requires-Dist: opencv-python-headless
Requires-Dist: openpyxl
Requires-Dist: paiargparse (==1.1.2)
Requires-Dist: pandas
Requires-Dist: pillow
Requires-Dist: prettytable
Requires-Dist: python-Levenshtein
Requires-Dist: scikit-image
Requires-Dist: pooch (==1.4.0)
Requires-Dist: tensorflow (<2.16.0,>=2.4.0)
Requires-Dist: tensorflow-addons (>=0.12.0)
Requires-Dist: tqdm
Requires-Dist: typeguard
Requires-Dist: xlrd (==1.2.0)
Requires-Dist: black (==21.6b0); extra == "devel"
Requires-Dist: flake8; extra == "devel"
Requires-Dist: pre-commit; extra == "devel"
Requires-Dist: pytest; extra == "devel"
Requires-Dist: pytest-timeout; extra == "devel"
Requires-Dist: pytest-xdist; extra == "devel"
Provides-Extra: devel
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 8115 characters]

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ocrd_fork_tfaip-1.2.7.dist-info/RECORD — —

top_level.txt

examples
tfaip

entry_points.txt

[console_scripts]
tfaip-adapt-exported-model = tfaip.scripts.adapt_exported_model:run
tfaip-benchmark-scenario-input-pipeline = tfaip.scripts.benchmark_scenario_input_pipeline:run
tfaip-evaluate = tfaip.scripts.evaluate:run
tfaip-experimenter = tfaip.scripts.experimenter:main
tfaip-lav = tfaip.scripts.lav:run
tfaip-multi-lav = tfaip.scripts.lav_multi:run
tfaip-predict = tfaip.scripts.predict:run
tfaip-resume-training = tfaip.scripts.resume_training:main
tfaip-train = tfaip.scripts.train:run
tfaip-train-from-params = tfaip.scripts.train_from_params:main