Metadata-Version: 2.4
Name: csbdeep
Version: 0.8.2
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
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
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
Provides-Extra: tf1
Requires-Dist: keras<2.4,>=2.1.2; extra == "tf1"
Requires-Dist: protobuf<3.21; extra == "tf1"
Requires-Dist: h5py<3; extra == "tf1"
Requires-Dist: numpy<2; extra == "tf1"
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Provides-Extra: docs
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: project-url
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

[![PyPI version](https://badge.fury.io/py/csbdeep.svg)](https://pypi.org/project/csbdeep)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/csbdeep/badges/version.svg)](https://anaconda.org/conda-forge/csbdeep)
[![Test](https://github.com/CSBDeep/CSBDeep/workflows/Test/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest)
[![Test (PyPI)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(PyPI)/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22)

# CSBDeep – 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/.
