Open Source Computer Vision Library https://opencv.org/
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.. _Linux_GCC_Usage:
Using OpenCV with gcc and CMake
*********************************
.. note::
We assume that you have successfully installed OpenCV in your workstation.
The easiest way of using OpenCV in your code is to use `CMake <http://www.cmake.org/>`_. A few advantages (taken from the Wiki):
* No need to change anything when porting between Linux and Windows
* Can easily be combined with other tools by CMake( i.e. Qt, ITK and VTK )
If you are not familiar with CMake, checkout the `tutorial <http://www.cmake.org/cmake/help/cmake_tutorial.html>`_ on its website.
Steps
======
Create a program using OpenCV
-------------------------------
Let's use a simple program such as DisplayImage.cpp shown below.
.. code-block:: cpp
#include <cv.h>
#include <highgui.h>
using namespace cv;
int main( int argc, char** argv )
{
Mat image;
image = imread( argv[1], 1 );
if( argc != 2 || !image.data )
{
printf( "No image data \n" );
return -1;
}
namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
imshow( "Display Image", image );
waitKey(0);
return 0;
}
Create a CMake file
---------------------
Now you have to create your CMakeLists.txt file. It should look like this:
.. code-block:: cmake
project( DisplayImage )
find_package( OpenCV REQUIRED )
add_executable( DisplayImage DisplayImage )
target_link_libraries( DisplayImage ${OpenCV_LIBS} )
Generate the executable
-------------------------
This part is easy, just proceed as with any other project using CMake:
.. code-block:: bash
cd <DisplayImage_directory>
cmake .
make
Result
--------
By now you should have an executable (called DisplayImage in this case). You just have to run it giving an image location as an argument, i.e.:
.. code-block:: bash
./DisplayImage lena.jpg
You should get a nice window as the one shown below:
.. image:: images/GCC_CMake_Example_Tutorial.png
:alt: Display Image - Lena
:align: center