btrack
A framework for Bayesian multi-object tracking
btrack
is a multi object tracking algorithm,
specifically used to reconstruct trajectories in crowded fields. New
observations are assigned to tracks by evaluating the posterior probability of
each potential linkage from a Bayesian belief matrix for all possible
linkages.
We developed btrack
for cell tracking in time-lapse microscopy data.
associated plugins¶
- napari-arboretum - Napari plugin to enable track graph and lineage tree visualization.
Installation¶
To install the napari
plugin associated with btrack
run the command.
pip install btrack[napari]
If working on Apple Silicon make sure to also install the following
packages from conda-forge
.
conda install -c conda-forge cvxopt pyqt
Version:
- 0.6.1
Last updated:
- 11 May 2023
First released:
- 27 May 2020
License:
- MIT
Supported data:
Plugin type:
GitHub activity:
- Stars: 254
- Forks: 45
- Issues + PRs: 54