anTraX works natively on machines running Linux or OSX operating system. It will benefit significantly from a multicore system. It is recommended to have at least 2GB of RAM per used core, and a similar sized swap. Computational GPU will speedup the classification phase considerably.
anTraX requires Python version 3.6 or above. It is highly recommended to install and use anTraX inside a virtual environment, using conda or any other environment manager. Full list of dependenices and version numbers can be found here.
anTraX comes with binraries compiled with MATLAB 2019a. If you have MATLAB 2019a or above installed on your machine, you do not need to install the Runtime. In case you don’t, please follow the instructions to install the freely available MATLAB Runtime for version 2019a.
anTraX uses FFmpeg to read video files.
To install on Ubuntu, open a terminal and type:
sudo apt install ffmpeg
To install on OSX using homebrew, open a terminal and type:
brew install ffmpeg
Change into your favorite place to install code packages, then clone the anTraX repository:
git clone http://github.com/Social-Evolution-and-Behavior/anTraX.git
To install a specific version, use the git checkout command:
cd anTraX git checkout <version>
Alternatively, anTraX the latest version of anTraX can be directly dowloaded here.
Install the python package:
To install the python package, run in the anTraX folder:
pip install .
Set envoronment variables:
If you are using a full MATLAB installation, add these lines to your bash profile file (usually
~/.bash_profile on OSX,
.profile on Linux):
export ANTRAX_PATH=<full path to anTraX repository> export ANTRAX_USE_MCR=False
Otherwise, if you are using MCR, add these lines:
export ANTRAX_MCR=<full path to MCR installation> export ANTRAX_PATH=<full path to anTraX repository> export ANTRAX_USE_MCR=True
For the changes to take effect, run:
Setup MATLAB (full MATLAB mode):
Note: You do not need to do these steps if you are using the compiled binaries!
In case you have MATLAB installed (i.e. you are not using the compiled binaries), you will need to install the MATLAB engine for python. Take care to install this in the same python environment you installed anTraX to.
You will also need to compile a mex file. In the matlab console, type:
cd <path-to-anTraX>/matlab/external/popenmatlab mex popenr.c
If you intend to use anTraX within an interactive MATLAB session (requires an active license), add the repository to your search path. In the MATLAB console, type:
Save the path if you want it to hold for future sessions.
If you use a full MATLAB installation, changes to the MATLAB source code of anTraX will take effect immediately, as it is always run from the repository directory. If you use MCR, you will need to compile your changes for them to take effect.
Changes made to the python source code will take effect only after reinstalling the package. Alternatively, for changes to take effect immediately when you make them, you can install the package in editable mode:
cd anTraX pip install -e .
Installation on computer clusters:
Please refer to the HPC section.