Installing trackR
should go smoothly on all major operating systems (Mac, Windows,
“Ubuntu-like” Linux). There are a few steps to follow before installing
the package itself in order to install all the necessary
dependencies.
All installation steps are described below.
OpenCV
trackR uses the powerful computer-vision library OpenCV in order to load
and process videos and images. Installing OpenCV can be a
daunting task if you are not used to compiling complex software from
source. For this reason, we have created ROpenCVLite,
a helper R package that will take care of this process for
you.
Please go to https://swarm-lab.github.io/ROpenCVLite/articles/install.html
and follow the instructions there to install OpenCV on your
system. There are slight differences between the installation processes
for Mac, Windows, and Linux, so make sure to follow those that are for
your operating system. The installation process should be
straightforward (just a few buttons or links to click here and there)
but the compilation of OpenCV will take some time (10 to 20 minutes
depending on your machine and operating system). Make yourself a nice
cup of tea or coffee and relax in the meantime.
Once you have installed OpenCV via
ROpenCVLite, you can follow the rest of the installation
instructions for trackR below.
trackR
Once OpenCV is ready, you can install
trackR and the rest of its dependencies by simply typing
the following command in your R console:
remotes::install_github("swarm-lab/trackR")You are now ready to proceed to the rest of the tutorials!