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.
To install the
napari plugin associated with
btrack run the command.
pip install btrack[napari]
You can try out the btrack plugin using sample data:
which will launch
napari and the
btrack widget, along with some sample data.
There are detailed tips and instructions on parameter settings over at the documentation.
- napari-arboretum - Napari plugin to enable track graph and lineage tree visualization.
- 10 August 2023
- 27 May 2020
- Stars: 271
- Forks: 47
- Issues + PRs: 48