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-0.1.1.tar.gz (70.3 kB view details)

Uploaded Source

Built Distribution

inpystem-0.1.1-py3-none-any.whl (122.5 kB view details)

Uploaded Python 3

File details

Details for the file inpystem-0.1.1.tar.gz.

File metadata

  • Download URL: inpystem-0.1.1.tar.gz
  • Upload date:
  • Size: 70.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.0.0 requests-toolbelt/0.9.1 tqdm/4.34.0 CPython/3.6.2

File hashes

Hashes for inpystem-0.1.1.tar.gz
Algorithm Hash digest
SHA256 1a2322744762d5ce4b2aa0337f188549424e7ff91e74c0fd80aab04af16ffeb1
MD5 8c04a22478ab9751cceb697970c6913f
BLAKE2b-256 4ee35d218351a08f496b01d23c394a314b350ef209b3a2fa8a34d1a8a718e1c3

See more details on using hashes here.

File details

Details for the file inpystem-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: inpystem-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 122.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.0.0 requests-toolbelt/0.9.1 tqdm/4.34.0 CPython/3.6.2

File hashes

Hashes for inpystem-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0af9f9d1583def0375ad671adb36f062c880a7f3cd3d868b285921abeb4412ca
MD5 651f2d133ce6be58ed77a32897869cbb
BLAKE2b-256 01bd0360e1c248005ac734d1855ab6b39e2f6e223322bd1f82eb62fe29d856a5

See more details on using hashes here.

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