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!
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