Skip to main content

No project description provided

Project description

Current build status

PyPI Documentation Status

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 from pypi with the pip package installer:

pip install pyrost

Pre-build binary wheels for OS X are 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-0.1.4.tar.gz (408.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyrost-0.1.4-cp37-cp37m-macosx_10_9_x86_64.whl (758.2 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file pyrost-0.1.4.tar.gz.

File metadata

  • Download URL: pyrost-0.1.4.tar.gz
  • Upload date:
  • Size: 408.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.6

File hashes

Hashes for pyrost-0.1.4.tar.gz
Algorithm Hash digest
SHA256 4a4f947249167baea0383a0e9466bd9ba70c95ad7dc7cc398a8cfc03cac7974a
MD5 99a69d116a7dc02d83a5d641755529ff
BLAKE2b-256 b7540dd6e73cd6a5b8381712e83d90196037fd0e9677bd85bca77eedc079933a

See more details on using hashes here.

File details

Details for the file pyrost-0.1.4-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyrost-0.1.4-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 758.2 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.6

File hashes

Hashes for pyrost-0.1.4-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bb63450e3cc3561945c63904528dea237ee67cd1e6b54f43312a88bbcc63e3d6
MD5 43f025e4c3204b950c4aa78cc02ce02a
BLAKE2b-256 382b8f90a0c5a62fd864f5851b4a7174fbe83e6351b1df23ffbb8f48e5b1e93d

See more details on using hashes here.

Supported by

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