Metadata-Version: 2.1
Name: btrack
Version: 0.4.3
Summary: A framework for Bayesian multi-object tracking
Home-page: https://github.com/quantumjot/BayesianTracker
Author: Alan R. Lowe
Author-email: a.lowe@ucl.ac.uk
License: LICENSE.md
Platform: UNKNOWN
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: cvxopt (>=1.2.0)
Requires-Dist: h5py (>=2.10.0)
Requires-Dist: matplotlib (>=3.1.1)
Requires-Dist: numpy (>=1.17.3)
Requires-Dist: pooch (>=1.0.0)
Requires-Dist: scikit-image (>=0.16.2)
Requires-Dist: scipy (>=1.3.1)
Provides-Extra: docs
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: sphinx-panels ; extra == 'docs'

BayesianTracker (`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. 

