Metadata-Version: 2.1
Name: csbdeep
Version: 0.7.1
Summary: CSBDeep - a toolbox for Content-aware Image Restoration (CARE)
Home-page: http://csbdeep.bioimagecomputing.com/
Author: Uwe Schmidt, Martin Weigert
Author-email: research@uweschmidt.org, martin.weigert@epfl.ch
License: BSD 3-Clause License
Project-URL: Documentation, http://csbdeep.bioimagecomputing.com/doc/
Project-URL: Repository, https://github.com/csbdeep/csbdeep
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: six
Requires-Dist: tifffile
Requires-Dist: tqdm
Requires-Dist: packaging
Requires-Dist: h5py (<3) ; python_version < "3.9"
Requires-Dist: h5py (>=3) ; python_version >= "3.9"
Provides-Extra: docs
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'
Provides-Extra: tf1
Requires-Dist: keras (<2.4,>=2.1.2) ; extra == 'tf1'

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# CSBDeep â€“ a toolbox for CARE

This is the CSBDeep Python package, which provides a toolbox for content-aware restoration of fluorescence microscopy images (CARE), based on deep learning via Keras and TensorFlow.

Please see the documentation at http://csbdeep.bioimagecomputing.com/doc/.
