A multi-animal tracking algorithm based on convolutional neural networks
Project description
Idtracker.ai is a multi-animal tracking software for laboratory conditions. This work has been published in Nature Methods (pdf here)
Find everything you are looking for in our website
Installation for developers.
On an environment with Python 3.10 and a working installation of Pytorch (Torch and Torchvision) you can install idtracker.ai for devs by cloning the repo and installing:
git clone https://gitlab.com/polavieja_lab/idtrackerai
pip install -e ./idtrackerai[dev]
Contributors
- Jordi Torrents (2022-)
- Antonio Ortega (2021-)
- Francisco Romero-Ferrero (2015-2022)
- Mattia G. Bergomi (2015-2018)
- Ricardo Ribeiro (2018-2020)
- Francisco J.H. Heras (2015-2022)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
idtrackerai-5.0.0a0.tar.gz
(6.2 MB
view hashes)
Built Distribution
Close
Hashes for idtrackerai-5.0.0a0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 484bfbaa959ccefc8b2d0e7b39bd3db2da62238737d74bf8b696c5a7a777b6cc |
|
MD5 | f46076bc7e253efcb97989c960afef6b |
|
BLAKE2b-256 | 8250227179dc801343f59b2cf74eabfaeda85dcb0dd8dd7c0c86d13cda7115d8 |