Skip to main content

A python library for STEM acquisition inpainting.

Project description

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.

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. To access to it, please follow this link.

Licence

This library is distributed under the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inpystem-0.1rc2.tar.gz (69.8 kB view hashes)

Uploaded Source

Built Distribution

inpystem-0.1rc2-py3-none-any.whl (122.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page