Skip to main content

No project description provided

Project description

Current build status

PyPI Documentation Status conda-forge DOI

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.

Read the open access scientific article about the technical details of the developed technique published in Optica Express.

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-0.7.7.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

pyrost-0.7.7-py3.7-linux-x86_64.egg (2.3 MB view details)

Uploaded Source

File details

Details for the file pyrost-0.7.7.tar.gz.

File metadata

  • Download URL: pyrost-0.7.7.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 pkginfo/1.8.2 readme-renderer/27.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.62.3 importlib-metadata/4.11.3 keyring/23.9.3 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

File hashes

Hashes for pyrost-0.7.7.tar.gz
Algorithm Hash digest
SHA256 7d3a3a5d658bd1c103d1efb61087095ee3c2c211df19ee741c35d7b68abf8817
MD5 723979aae1f56474ad0a7bbe3788d946
BLAKE2b-256 b7b405046475391cb91362b6fa02e2b65e3209784bb3bb49e6039bb44c93f3b4

See more details on using hashes here.

File details

Details for the file pyrost-0.7.7-py3.7-linux-x86_64.egg.

File metadata

  • Download URL: pyrost-0.7.7-py3.7-linux-x86_64.egg
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 pkginfo/1.8.2 readme-renderer/27.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.62.3 importlib-metadata/4.11.3 keyring/23.9.3 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

File hashes

Hashes for pyrost-0.7.7-py3.7-linux-x86_64.egg
Algorithm Hash digest
SHA256 be057270b47aaa244bb45fc7e00e5a24291e919547c4cfbaa826db36041bfefd
MD5 cb47b5fc2cdb2840b876e8613e338e59
BLAKE2b-256 fc4d413618ba380d3af3eacb6a10312b407d9122657313b8c69b6bcf1a2d06c2

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