recipe centrosome

An open source image processing library. Dependency for CellProfiler

Homepage:

https://github.com/CellProfiler/centrosome

License:

BSD 3

Recipe:

/centrosome/meta.yaml

package centrosome

versions:

1.3.0-0,  1.2.3-2,  1.2.3-1,  1.2.3-0,  1.2.2-1,  1.2.2-0,  1.2.1-2,  1.2.1-1,  1.2.1-0, 

1.3.0-0,  1.2.3-2,  1.2.3-1,  1.2.3-0,  1.2.2-1,  1.2.2-0,  1.2.1-2,  1.2.1-1,  1.2.1-0,  1.2.0-3,  1.2.0-2,  1.2.0-1,  1.2.0-0,  1.1.7-1,  1.1.7-0,  1.1.6-0

depends deprecation:

depends libgcc:

>=13

depends libstdcxx:

>=13

depends matplotlib-base:

depends numpy:

>=1.22.4,<2.0a0

depends pillow:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends scikit-image:

depends scipy:

requirements:

additional platforms:

linux-aarch64,  osx-arm64

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 centrosome

and update with::

   mamba update centrosome

To create a new environment, run:

mamba create --name myenvname centrosome

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/centrosome:<tag>

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

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