Package Recipe 'orientationpy'

recipe orientationpy

OrientationPy is the pythonic successor to the well-loved OrientationJ Fiji Plugin. It is a library that takes in 2D images or 3D volumes and computes the orientation of the greylevels.

Homepage:: https://pypi.org/project/orientationpy
Documentation:: https://epfl-center-for-imaging.gitlab.io/orientationpy/introduction.html
Developer docs:: https://gitlab.com/epfl-center-for-imaging/orientationpy
License:: GPL / GNU General Public License v3 (GPL-3.0)
Recipe:: /orientationpy/meta.yaml

package orientationpy¶

Versions:

0.2.0.4-0

Depends:

on matplotlib-base >=3.1.3
on numba
on numba-progress
on numpy
on python >=3.8
on scipy

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install orientationpy

to add into an existing workspace instead, run:

pixi add orientationpy

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install orientationpy

Alternatively, to install into a new environment, run:

conda create -n envname orientationpy

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/orientationpy:<tag>

(see orientationpy/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

Link to this page¶

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/orientationpy/README.html)