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