Idtracker.ai tracks up to 100 unmarked animals from videos recorded in laboratory conditions using artificial intelligence. Free and open source.
Project description
Find everything you are looking for in our website
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)
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file idtrackerai-5.2.1.tar.gz.
File metadata
- Download URL: idtrackerai-5.2.1.tar.gz
- Upload date:
- Size: 6.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8db41930809e9b8e1c26195a728221ebaa71b75a3e9e32091548c46eff123326
|
|
| MD5 |
f055b0a6271032647db47ad626a50238
|
|
| BLAKE2b-256 |
35ff16239956f9059ff5af20a8b59b60c509d6897c4b966483df9bfaf3e949b3
|
File details
Details for the file idtrackerai-5.2.1-py3-none-any.whl.
File metadata
- Download URL: idtrackerai-5.2.1-py3-none-any.whl
- Upload date:
- Size: 6.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5e30940c5cbb1a327c8c7de12e9e81cabd5fc3b6b474012d725870af40481d25
|
|
| MD5 |
02f2e42bfc792752a4d24fd8bc1c6020
|
|
| BLAKE2b-256 |
95ad12e9c2c28a6b4717a746488608d9d84f825d0d51674ac3bae6ac2b867973
|