Metadata-Version: 2.1
Name: pyMSDtorch
Version: 0.1.5
Summary: Python Boilerplate contains all the boilerplate you need to create a Python package.
Home-page: https://bitbucket.org/berkeleylab/pymsdtorch/
Author: Petrus H. Zwart, Eric J. Roberts
Author-email: PHZwart@lbl.gov, EJroberts@lbl.gov
License: BSD License
Keywords: pyMSDtorch
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
License-File: LICENSE
License-File: AUTHORS.rst

Welcome to pyMSDtorch's documentation!
======================================

pyMSDtorch provides easy access to a number of segmentation and denoising methods using convolution neural networks.
The tools available are build for microscopy and synchrotron-imaging/scattering data in mind, but can be used elsewhere
as well.

The easiest way to start playing with the code is to install pyMSDtorch and perform denoising/segmenting using custom
neural networks in our tutorial notebooks located in the pyMSDtorch/tutorials folder.

Check the readthedocs page or the README.md file for more information.

=======
History
=======

0.1.0 (2021-08-10)
------------------

* First release.


0.1.1 (2022-11-28)
------------------

* Second release
* getting ready for 'pip install pyMSDtorch'
* added docstrings as much as we can
* building template notebooks

0.1.2-5 (2022-12-15)
--------------------

* Second release - but now for real
* Ready for 'pip install pyMSDtorch'
* Documentation update
* Added notebooks and functionality for image classification
