Skip to main content

No project description provided

Project description

Current build status

PyPI Documentation Status conda-forge

pyrost

Python Robust Speckle Tracking (pyrost) is a library for wavefront metrology and sample imaging based on ptychographic speckle tracking algorithm. This project takes over Andrew Morgan's speckle_tracking project as an improved version aiming to add robustness to the optimisation algorithm in the case of the high noise present in the measured data.

The documentation can be found on Read the Docs.

Dependencies

Installation

We recommend not building from source, but install the release via the conda manager:

conda install -c conda-forge pyrost

The package is available in conda-forge on OS X and Linux.

Also you can install the release from pypi with the pip package installer:

pip install pyrost

The source distribution is available in pypi as for now.

Installation from source

In order to build the package from source simply execute the following command:

python setup.py install

or:

pip install -r requirements.txt -e . -v

That cythonizes the Cython extensions and builds them into /pyrost/bin.

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

pyrost-0.2.0.tar.gz (429.3 kB view hashes)

Uploaded Source

Built Distribution

pyrost-0.2.0-py3.7-macosx-10.9-x86_64.egg (849.7 kB view hashes)

Uploaded Source

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