Funtracks

A data model for cell tracking with actions, undo history, persistence, and more!

Designed for use with the finn tracks viewer and motile tracker. Provides a data model for programmatic editing of tracks that can be used by a UI like finn or by a machine agent for active learning.

Installation

pip install funtracks

Or use pixi!

Roadmap

Features already included in funtracks: - fully undo-able action history

Features that will be included in funtracks: - both in-memory and out-of-memory tracks - in-memory using networkx (slower, pure python) or spatial_graph (faster, compiled C) data structures - out-of-memory using zarr for segmentations and SQLite/PostGreSQL for graphs - functions to import from and export to common file structures (csv, segmentation relabeled by track id) - generic features with the option to automatically update features on tracks editing actions