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
btrack for cell tracking in time-lapse microscopy data.
- napari-arboretum - Napari plugin to enable track graph and lineage tree visualization.
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
conda install -c conda-forge cvxopt pyqt
- 11 May 2023
- 27 May 2020
- Stars: 254
- Forks: 45
- Issues + PRs: 54