Skip to main content

Actions Status Coverage Status PyPI Code style: black

Description

This is a tool for non-rigid registration, primarily for atomic resolution STEM images, and is a python wrapper of the match-series code developed by B. Berkels. When using this tool, please cite the papers mentioned in that repository.

The goal of match-series is to remove slow and fast scan noise in STEM image stacks by comparing the various images against each other. The output of the code are X and Y deformation fields for each image in the stack. These deformations can then be applied to stacks of images or to EDX/EELS spectum maps that were acquired frame by frame. The goal of pymatchseries is to facilitate the set-up of the calculation and to work with the results in python. It is intended to use this tool mainly semi-interactively in a Jupyter notebook, see the example.

Try it out here: Binder

To install, simply pip install:

$ pip install --user pyMatchSeries

Note that, since it directly tries to call the matchSeries binary in a subprocess, you must compile and/or install match-series on your own. The program is available via conda install:

$ conda install -c conda-forge match-series

Changelog

v0.1.0

  • Significantly simplified the API and made code more future proof
  • Trying out CI/CD pipelines

Metadata

Release files for pyMatchSeries 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyMatchSeries 0.1.0
File Size Uploaded
pyMatchSeries-0.1.0.tar.gz 25.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyMatchSeries 0.1.0
File Interpreter ABI Platform
pyMatchSeries-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 52.5 kB

Release files / pyMatchSeries-0.1.0.tar.gz

Download URL pyMatchSeries-0.1.0.tar.gz
Size 25.8 kB
Tags Source
SHA-256 checksum
How to use checksums
37325ef7fa457eff84097cb0166004754d100a50802af47512055e405df62c65
BLAKE2b-256 checksum
How to use checksums
ea5cfc38b3783b668b45a4e1229889cbb9eaa4c08e6c08902b7b5639c90ac1cc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1

Release files / pyMatchSeries-0.1.0-py3-none-any.whl

Download URL pyMatchSeries-0.1.0-py3-none-any.whl
Size 26.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f5c6b7d540a32e98ba25374281471e20e0519e74f43a298113fcb65a012d32e2
BLAKE2b-256 checksum
How to use checksums
90b99c386c29aaf2b121afb9a0fe03459730c21fc6c83577450203694b15ece2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page