Installation¶

Requirements¶

• Qt5 for the graphical interface. If your operating system splits Qt in multiple package, you need to install at least the Core, Gui, Qml and Quick modules, as well as the controls, dialogs and layouts QML modules. Make sure you install the image formats plugin if you require TIFF support for instance.

• R, the statistical language, for the non-linear regression and plotting. You must install the following packages in R: ggplot2, RInside and RCpp.

Installing packages in R can be done from its interactive prompt.

$ R

R version 3.1.1 (2014-07-10) -- "Sock it to Me"
Copyright (C) 2014 The R Foundation for Statistical Computing
[…]

> install.packages('ggplot2')
Installing package into ‘/home/neil/R/x86_64-pc-linux-gnu-library/3.1’
(as ‘lib’ is unspecified)
--- Please select a CRAN mirror for use in this session ---

At that point a dialog opens asking you to select a mirror to download the package from. Just select one close to your location and press OK. Repeat the last command, install.package('…') for RCpp and RInside.

Additionally, to build and install wblanes, you will need a recent C++ compiler, such as clang or GCC, the build software CMake, and Git to get the sources.

Building¶

First, download the sources, either a released version or the Git repository:

$ git clone https://git.atelo.org/etlapale/wblanes.git

Then, move to the source directory and run cmake to generate a Makefile. You may want to pass specific options to cmake, for instance to specify the C++ compiler. Once the Makefiles have been generated, use make to compile and link the final program:

$ cd wblanes
$ cmake -DCMAKE_CXX_COMPILER=/usr/bin/clang++ .
$ make

If successful, the last command will generate an executable named wblanes which you can run to start the program.