First of all, it is inevitable to have an external graphics card or one that is integrated into your computer, otherwise it will be impossible to run the program optimally and completely. Otherwise, only CPU execution can be used.
- GPU that supports CUDA
- Ubuntu 14.10 (https://www.virtualbox.org/wiki/Linux_Downloads) or https://www.ubuntu.com/download/alternative-downloads
- NVIDIA CUDA Toolkit (available at http://developer.nvidia.com/cuda-downloads)
Before starting the process we have to make sure that the following command causes an error when running it in the terminal:
does not return any results. This means that CUDA is not installed. Otherwise, a result similar to the following can be seen on the screen (and therefore steps 2 to 4 are ignored):
nvcc: NVIDIA ® Cuda compiler driver
Copyright © 2005-2015 NVIDIA Corporation
Built on Mon_Feb_16_22:59:02_CST_2015
Cuda compilation tools, release 7.0, V7.0.27
Download the package for Ubuntu 14.04 from the CUDA download site from the CUDA repository (CUDA download site) and follow the steps below to install it via the command prompt:
$ sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb $ sudo apt-get update
The CUDA Toolkit must then be installed using apt-get.
$ sudo apt-get install cuda
As the penultimate step, the following instructions must be entered in the.bashrc file for the CUDA configuration to be performed permanently:
Finally, you must copy the code samples from the SDK to the main (home) folder. To do this, the following instructions must be executed on the console
$ cuda-install-samples-7.5.sh ~
$ cd ~/NVIDIA_CUDA-7.5_Samples
$ cd 1_Utilities/deviceQuery
In order to verify that everything has gone smoothly, you can run the deviceQuery program within the CUDA examples.
First of all, as in the previous step, we have to make sure which version of Qt exists in the system (if any) by means of the following commands:
$ which qmake
$ qmake -v
The output of the first command informs you where the qmake executable is located. If the output is similar to bash: qmake: command not found, it is possible that:
- Qt is not installed (including development tools)
- It is installed but the system’s PATH variable does not cover it.
On the contrary, if qmake exists:
$ qmake -v
QMake version 2.01a
Using Qt version 4.8.6 in /usr/lib/x86_64-linux-gnu
you will see information about the installed version and then proceed to check if the other tools are on the computer:
$ which moc
$ which uic
$ which assistant
$ which designer
If these executables are present Qt is ready to be used.
The following is the most immediate (and graphic) way to install Qt and its tools
To install Qt, follow the steps described on its website: http://qt-project.org/doc/qt-4.8/installation.html, depending on the platform on which the installation is performed.
However, the installation process is very simple. It consists of downloading the appropriate executable from the website: http://qt-project.org/downloads#qt-lib and following the steps indicated in the document. In fact, for this project we downloaded an executable for Ubuntu (.run) (http://download.qt.io/official_releases/online_installers/qt-unified-linux-x64-online.run) that provides a graphical environment that guides the installation step by step.
An Eclipse plugin is also required which provides three toolboxes to compile CUDA (NVIDIA) and/or Qt source code and also provides the H header generator from ui files generated by Qt resulting from the interface design.
The following steps must be followed:
- Run Eclipse.
- Go to Help to Install New Software and add the following URL: http://www.ai3.uni-bayreuth.de/software/eclipsecudaqt/updates/
Finally, it only remains to install OpenCV which is necessary to open the video sequences.
The installation steps are very simple as it can be installed via terminal or graphical application. Listed below are the only three commands needed to do this via console:
$ sudo apt-get install build-essential
$ sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
$ $ sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev