semvec/pypi-packages huggingface dataset:
ImagePipe 0.2.0rc1
Biological image analysis pipelines compiler
License: BSD
Keywords: image analysis,4D microscopy,image analysis pipeline

|License Type| |Branch status| |Build Status| |Code Coverage| |Code Health|

Image Pipe
==========

Pipeline building solution for 4D biological microscopy

Description:
------------
This project is still in development. Initially started as a tool for Ruan, Zhou et al, Nature
2017, this pipeline has since grown to allow arbitrary pipeline construction based on a set of
primitive functions and abstractions (pipe, tiling, per-segment processing, etc...).

This project is currently in alpha development, hence poorly documented, sparsely tested
and prone to rapid changes.

Basic installation::

    > pip install imagepipe

or::

    > pip install git+https://github.com/chiffa/Image_pipe.git


The documentation is available `on readthedocs <https://image-pipe.readthedocs.io/en/latest/>`__.

Project is housed at `GitHub <https://github.com/chiffa/Image_pipe>`__. For any issues please
refer to GitHub issue tracker.

.. |License Type| image:: https://img.shields.io/badge/license-BSD3-blue.svg
   :target: https://github.com/chiffa/BioFlow/blob/master/License-new_BSD.txt
.. |Build Status| image:: https://travis-ci.org/chiffa/Image_pipe.svg?branch=master
   :target: https://travis-ci.org/chiffa/Image_pipe
.. |Branch status| image:: https://img.shields.io/badge/branch_-0.2.0_rc-yellow.svg
   :target: https://github.com/chiffa/Image_pipe/blob/master/README.md
.. |Duplicate Lines| image:: https://img.shields.io/badge/duplicate%20lines-17.66%25-yellowgreen.svg
   :target: http://clonedigger.sourceforge.net/
.. |Code Health| image::  https://landscape.io/github/chiffa/Image_pipe/master/landscape.svg?style=flat
   :target: https://landscape.io/github/chiffa/Image_pipe/master
.. |Code Coverage| image:: https://codecov.io/gh/chiffa/Image_pipe/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/chiffa/Image_pipe