Metadata-Version: 2.1
Name: csbdeep
Version: 0.2.0
Summary: CSBDeep - a toolbox for Content-aware Image Restoration (CARE)
Home-page: http://csbdeep.bioimagecomputing.com/
Author: Uwe Schmidt, Martin Weigert
Author-email: uschmidt@mpi-cbg.de, mweigert@mpi-cbg.de
License: BSD 3-Clause License
Project-URL: Documentation, http://csbdeep.bioimagecomputing.com/doc/
Project-URL: Repository, https://github.com/csbdeep/csbdeep
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: six
Requires-Dist: keras (>=2.0.7)
Requires-Dist: tifffile
Requires-Dist: tqdm
Requires-Dist: pathlib2; python_version < "3"
Requires-Dist: backports.tempfile; python_version < "3.4"

# 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/.


