1 - Installing ROpenCVLite

Installing ROpenCVLite 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 external (i.e. non-R) dependencies for OpenCV.

1 - Before installing

1.1 - Windows

Before installing ROpenCVLite, you will need to install the latest versions of CMake and Rtools.

Download CMake for Windows at https://cmake.org/download/.

Download the latest “recommended” version of Rtools at https://cran.r-project.org/bin/windows/Rtools/.

In both cases, make sure to tell the installer to add CMake and Rtools to your “PATH”.

1.2 - Mac

Before installing ROpenCVLite, you will need to install the latest version of CMake. Hereafter are 3 options to do this on Mac.

Download installer from cmake.org

Go to https://cmake.org/download/. Scroll down until you reach the “Latest Release” section. Download the installer for Mac OS X (.dmg file). Once the download is complete, double-click on the installer and accept the license agreement. Drag and drop the Cmake app into the Applications folder.

To make Cmake accessible to R, open a terminal and type:

sudo "/Applications/CMake.app/Contents/bin/cmake-gui" --install

It will ask for your administrator password.

Homebrew:

brew install cmake

MacPorts:

sudo port install cmake

1.3 - Linux

Before installing ROpenCVLite, you will need to install the latest version of CMake. Hereafter are two options to do this on Linux.

Download installer from cmake.org

Download CMake for Linux at https://cmake.org/download/. However it is recommended that you install it using your distribution’s package management system.

Use you distribution’s package management system

Ubuntu:

sudo apt-get install cmake

[TODO: add more Linux install commands]

1.4 - Mac, Linux and Windows

Before installing ROpenCVLite, you will need to install the devtools package in R.

install.package("devtools")

2 - Installing `ROpenCVLite`

You can install ROpenCVLite from CRAN as follows:

install.packages("ROpenCVLite")

Or you can install the latest latest development version (not necessarily tested) as follows:

devtools::install_github("swarm-lab/ROpenCVLite")

This will not install OpenCV yet. You will be asked whether you want to install it the first time you load the package.

library(ROpenCVLite)

This step can take some time. Go make yourself a cup of coffee or two while ROpenCVLite downloads, compiles and installs OpenCV on your system.

In addition, you can also request the (re)installation of OpenCV at any time as follows:

ROpenCVLite::installOpenCV()