jmaggio14 / imagepypelines

data pipeline and convienence library targeted at accelerating the development of imaging projects and research
https://www.imagepypelines.org/
MIT License
6 stars 2 forks source link
computer-vision docker imagery imaging-sciences machine-learning pipeline

============== ImagePypelines

A processing pipeline framework by imaging scientists, for all scientists #########################################################################

.. add in the logo .. image:: https://raw.githubusercontent.com/jmaggio14/imagepypelines/develop/docs/source/_static/images/ip_logo_mini.png :alt: ImagePypelines Logo

.. Definitions .. defining a raw html role .. role:: raw-html(raw) :format: html .. defining hyperlinks Substitutions .. _Imagepypelines: http://www.imagepypelines.org/ .. _MIT: https://choosealicense.com/licenses/mit/

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.. Content actually begins here! The imagepypelines package is a pipelining library for scientists who want to make their code more scalable and sharable with their colleagues. It's designed with scientists in mind, not software engineers.

ImagePypelines contains tools to turn scripts into robust processing pipelines which can be visualized, saved, copied, or deployed to a server easily.

Installation


more options for installation can be found here <http://www.imagepypelines.org/about.html>_.

Python compatibility: 3.4-3.6 64bit

.. code-block:: shell

pip install imagepypelines

Documentation

Full documentation for imagepypelines, including examples and tutorials, can be found on our website: Imagepypelines_

Acknowledgement

Imagepypelines is licensed under the MIT permissive software license. You may use this code for research or commercial settings, but please credit us

.. code-block:: plaintext

This research made use "ImagePypelines" developed by Jeff Maggio,
Ryan Harzell, and collaborators. https://www.imagepypelines.org