Welcome to idtracker.ai’s documentation!¶
idtracker.ai allows to track groups of up to 100 unmarked animals from videos recorded in laboratory conditions.
New release: idtracker.ai v3¶
- A more robust Graphical user interface (GUI).
- Possibility of Tracking from the terminal which allow for a higher throughput pipeline.
- Modify Advanced parameters to optimize memory management and other features of the algorithm.
Check What’s new in idtracker.ai v3 and join the idtracker.ai users group to get announcements about new releases.
Start using idtracker.ai¶
Check the Installation and requirements to find the best installation mode for your usage case.
Follow the instructions in the Quickstart to track the example video and get use to the idtracker.ai workflow.
If you are unsure whether idtracker.ai will work on your videos, check the Guidelines for good videos and the Gallery to see how our videos look like.
Our research using idtracker.ai¶
Let us know if you are using idtracker.ai in your research.
- Heras, F. J., Romero-Ferrero, F., Hinz, R. C., & de Polavieja, G. G. (2018). Deep attention networks reveal the rules of collective motion in zebrafish. bioRxiv, 400747.
- Laan, A., Iglesias-Julios, M., & de Polavieja, G. G. (2018). Zebrafish aggression on the sub-second time scale: evidence for mutual motor coordination and multi-functional attack manoeuvres. Royal Society open science, 5(8), 180679.
Source code¶
The source code can be found at the idtracker.ai Gitlab repository.
Check the code documentation Index for more information about different classes, functions and methods of idtracker.ai
Reference¶
When using information from this web page please reference
Romero-Ferrero, F., Bergomi, M.G., Hinz, R.C., Heras, F.J.H., de Polavieja, G.G., Nature Methods, 2019. idtracker.ai: tracking all individuals in small or large collectives of unmarked animals [pdf] (F.R.-F. and M.G.B. contributed equally to this work. Correspondence should be addressed to G.G.d.P: gonzalo.polavieja@neuro.fchampalimaud.org)
@article{romero2019idtracker,
title={idtracker.ai: tracking all individuals in small or large collectives of unmarked animals},
author={Romero-Ferrero, Francisco and Bergomi, Mattia G and Hinz, Robert C and Heras, Francisco JH and de Polavieja, Gonzalo G},
journal={Nature methods},
volume={16},
number={2},
pages={179},
year={2019},
publisher={Nature Publishing Group}
}