- recipe pymot
This is a python implementation which determines the MOTP and MOTA metrics from a set of ground truth tracks and a set of hypothesis tracks given by the tracker to be evaluated.
- Homepage:
- License:
All Rights Reserved
- Recipe:
- package pymot¶
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 pymot and update with:: mamba update pymot
To create a new environment, run:
mamba create --name myenvname pymot
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/pymot:<tag> (see `pymot/tags`_ for valid values for ``<tag>``)
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/pymot/README.html)