Metadata-Version: 2.1
Name: inpystem
Version: 0.1a0
Summary: A python library for STEM acquisition inpainting.
Home-page: https://github.com/etienne-monier/inpystem
Author: Etienne Monier
Author-email: etienne.monier@enseeiht.fr
License: MIT
Project-URL: Source Code, https://github.com/etienne-monier/inpystem
Project-URL: Documentation, https://inpystem.readthedocs.io/en/latest/index.html
Keywords: STEM,dm3,electron energy loss spectroscopy,electron microscopy,hyperspectral,hyperspectrum,multidimensional,hyperspy,microscopy,numpy,python,scipy,spectrum image,reconstruction,sinal processing
Platform: Linux
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Natural Language :: English
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: hyperspy
Requires-Dist: scikit-learn
Requires-Dist: scikit-image (>=0.16)

# inpystem python library

## Description

inpystem is an open source Python library which provides tools to reconstruct partially sampled 2D images as multi-band images.

inpystem's core is a set of reconstruction techniques such as interpolation, regularized least-square and dictionary learning methods. It provides a user interface which simplify the use of these techniques.

inpystem is mainly at the destination of the microscopy community so that it highly depends on the good library [HyperSpy](https://hyperspy.org/).

This library was originally developed by its creator Etienne Monier to handle EELS data and develop reconstruction algorithms. This was proposed afterwards to the microscopy community as a tool.

## Documentation

This project documentation is hosted by [ReadTheDocs](https://readthedocs.org/). To access to it, please follow [this link](https://inpystem.readthedocs.io/en/latest/index.html). 

## Licence

This library is distributed under the MIT license.


