vignettes/install.Rmd
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
.ROpenCVLite
, you will need to install the latest versions of CMake
and Rtools
.CMake
for Windows at https://cmake.org/download/.Rtools
at https://cran.r-project.org/bin/windows/Rtools/.CMake
and Rtools
to your “PATH”.ROpenCVLite
, you will need to install the latest version of CMake
. Hereafter are 3 options to do this on Mac.Cmake
app into the Applications
folder.Cmake
accessible to R
, open a terminal and type:sudo '/Applications/CMake.app/Contents/bin/cmake-gui' --install
ROpenCVLite
, you will need to install the latest version of CMake
. Hereafter are two options to do this on Linux.CMake
for Linux at https://cmake.org/download/. However it is recommended that you install it using your distribution’s package management system.ROpenCVLite
, you will need to install the devtools
package in R
.CommandPrompt
from the Start
menu. Enter the following command to installthe scientific Python packages with Miniconda:example1.py
, enter the following command:yes
to add Miniconda to PATH
:example1.py
, enter the following command:yes
to add Miniconda to PATH
:example1.py
, enter the following command:PATH
environment variable and make sure the Miniconda has priority.