--- author: "Simon Garnier" title: "1 - Installing ROpenCVLite" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{1 - Installing ROpenCVLite} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- Installing [`ROpenCVLite`](https://github.com/swarm-lab/ROpenCVLite) should go smoothly on all major operating systems (Mac, Windows, and most major Linux distributions). There are a few steps to follow before installing the package itself in order to prepare all the necessary external (i.e. non-R) dependencies for [`OpenCV`](https://opencv.org/). You should also make sure that your R version is 4.0 or higher. Support for older versions of R has been removed. All installation steps are described below. --- + [1 - Before installing ](#before-installing ) + [1.1 - Windows](#windows) + [1.2 - Mac](#mac) + [1.3 - Linux](#linux) + [1.4 - Mac, Linux and Windows](#mac-linux-and-windows) + [2 - Installing `ROpenCVLite`](#installing-ropencvlite) --- ## 1 - Before installing ### 1.1 - Windows Before installing `ROpenCVLite`, you will need to install [`Rtools`](https://cran.r-project.org/bin/windows/Rtools/) and [`CMake`](https://cmake.org/). #### 1.1.1 - Rtools You will need to install the version of `Rtools` that corresponds to your version of R. You can check your version of R by typing `R.version` in the R console. + If your R version starts with 4.0 or 4.1, you will need to install `Rtools40`. + If your R version starts with 4.2, you will need to install `Rtools42`. + If your R version starts with 4.3 or 4.4 (devel), you will need to install `Rtools43`. There are multiple ways to install `Rtools` on Windows: ##### **Option 1** Use the convenience function provided by the `installr` library: ```{r eval=FALSE} if (!require("installr")) install.packages("installr") installr::install.Rtools() ``` *Note:* If you install `Rtools40`, make sure to tell the installer to add `Rtools` to your "PATH" during the installation process. This is not required anymore with `Rtools42` and `Rtools43`. ##### **Option 2** If you have the [`rig`](https://github.com/r-lib/rig) utility installed on your computer, you can install `Rtools` from a terminal running PowerShell: ```{bash eval=FALSE} # For Rtools40 rig add rtools40 # For Rtools42 rig add rtools42 # For Rtools43 rig add rtools43 ``` ##### **Option 3** If you have the [`winget`](https://learn.microsoft.com/en-us/windows/package-manager/) utility installed on your computer, you can install `Rtools` from a terminal running PowerShell: ```{bash eval=FALSE} winget install RProject.Rtools ``` *Note:* Only `Rtools42` seems to be available through `winget` at the moment. ##### **Option 4** You can manually download `Rtools` at [https://cran.r-project.org/bin/windows/Rtools/](https://cran.r-project.org/bin/windows/Rtools/). *Note:* If you install `Rtools40`, make sure to tell the installer to add `Rtools` to your "PATH" during the installation process. This is not required anymore with `Rtools42` and `Rtools43`. #### 1.1.1 - Cmake Installing `Cmake` is only required if your R version starts with 4.0 or 4.1 and, therefore, you have installed `Rtools40`. For newer versions of R, `Cmake` is included in `Rtools42` and `Rtools43` and you can skip this step. Any version of `Cmake` 3.24 or higher should work. There are multiple ways to install `Cmake` on Windows: ##### **Option 1** Use the convenience function provided by the `installr` library: ```{r eval=FALSE} if (!require("installr")) install.packages("installr") installr::install.CMake() ``` During the installation process, make sure to tell the installer to add `CMake` to your "PATH". ##### **Option 2** If you have the [`winget`](https://learn.microsoft.com/en-us/windows/package-manager/) utility installed on your computer, you can install `Cmake` from a terminal running PowerShell: ```{bash eval=FALSE} winget install cmake ``` ##### **Option 3** You can manually download the `CMake` installer for Windows at [https://cmake.org/download/](https://cmake.org/download/). Make sure to tell the installer to add `CMake` to your "PATH" during the installation process. --- ### 1.2 - Mac Before installing `ROpenCVLite`, you will need to install the latest version of [`CMake`](https://cmake.org/). There are multiple ways to install `Cmake` on Mac: ##### **Option 1** If you have [`homebrew`](https://brew.sh/) installed, run the following command in your terminal: ```bash brew install cmake ``` ##### **Option 2** If you have [`MacPorts`](https://www.macports.org/) installed, run the following command in your terminal: ```bash sudo port install cmake ``` ##### **Option 3** Go to [https://cmake.org/download/](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 your `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. --- ### 1.3 - Linux Before installing `ROpenCVLite`, you will need to install the latest version of [`CMake`](https://cmake.org/). Hereafter are two options to do this on Linux. + **Option 1** Use your distribution's package management system. For instance on Ubuntu-like systems, you can install `Cmake` by typing the following command in your terminal: ```bash sudo apt install cmake ``` Other distributions will have different package managers. Refer to the documentation of your distribution for finding the proper way to install `Cmake` on your system. + **Option 2** Download `CMake` for Linux at [https://cmake.org/download/](https://cmake.org/download/). However it is recommended that you install it using your distribution's package management system. --- ### 1.4 - Mac, Linux and Windows Before installing `ROpenCVLite`, you will need to install the `devtools` package in `R`. ```{r eval=FALSE} install.packages("devtools") ``` --- ## 2 - Installing `ROpenCVLite` You can install `ROpenCVLite` from CRAN as follows: ```{r eval=FALSE} install.packages("ROpenCVLite") ``` Or you can install the latest development version (not recommended) as follows: ```{r eval=FALSE} 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. ```{r eval=FALSE} 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: ```{r eval=FALSE} ROpenCVLite::installOpenCV() ``` `ROpenCVLite` will also automatically detect when a new version of `OpenCV` is available and will offer to update it for you.