idtrackerai 5.2.5

Idtracker.ai tracks up to 100 unmarked animals from videos recorded in laboratory conditions using artificial intelligence. Free and open source.

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Idtracker.ai is a multi-animal tracking software for laboratory conditions. This work has been published in Nature Methods (pdf here)

Installation for developers.

On an environment with Python 3.10 or 3.11 and a working installation of Pytorch (Torch and Torchvision) you can install idtracker.ai for devs by cloning the repo and installing:

pip install git+https://gitlab.com/polavieja_lab/idtrackerai[dev,docs]

Contributors

• Jordi Torrents (2022-)
• Antonio Ortega (2021-2023)
• Francisco Romero-Ferrero (2015-2022)
• Mattia G. Bergomi (2015-2018)
• Ricardo Ribeiro (2018-2020)
• Francisco J.H. Heras (2015-2022)

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All present files here are part of idtracker.ai, a project described in:

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.

Copyright (C) 2017- Francisco Romero Ferrero, Mattia G. Bergomi, Francisco J.H. Heras, Robert Hinz, Gonzalo G. de Polavieja and the Champalimaud Foundation.

idtracker.ai is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. In addition, we require derivatives or applications to acknowledge the authors.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

For more information please send an email ([e-mail]) or use the tools available at https://gitlab.com/polavieja_lab/idtrackerai.git.