Home: https://github.com/cheind/py-motmetrics
Package license: MIT
Feedstock license: BSD 3-Clause
Summary: Benchmark multiple object trackers (MOT) in Python
The py-motmetrics library provides a Python implementation of metrics for benchmarking multiple object trackers (MOT).
All platforms:
| Name | Downloads | Version | Platforms |
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Installing motmetrics from the loopbio channel can be achieved by adding loopbio to your channels with:
conda config --add channels loopbio
Once the loopbio channel has been enabled, motmetrics can be installed with:
conda install motmetrics
It is possible to list all of the versions of motmetrics available on your platform with:
conda search motmetrics --channel loopbio
If you would like to improve the motmetrics recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
loopbio channel, whereupon the built conda packages will be available for
everybody to install and use from the loopbio channel.
Note that all branches in the loopbio/motmetrics-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution:
- If the version of a package is not being increased, please add or increase
the
build/number. - If the version of a package is being increased, please remember to return
the
build/numberback to 0.