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

(downloads) docker_orientationpy

versions:

0.2.0.4-0

depends matplotlib-base:

>=3.1.3

depends numba:

depends numba-progress:

depends numpy:

depends python:

>=3.8

depends scipy:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install orientationpy

and update with::

   mamba update orientationpy

To create a new environment, run:

mamba create --name myenvname orientationpy

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

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

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