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Using OpenCV with Eclipse (plugin CDT)

Prev Tutorial: Using OpenCV with gcc and CMake
Next Tutorial: Installation in Windows

Original author | Ana Huamán
Compatibility | OpenCV >= 3.0

Warning
  This tutorial can contain obsolete information.

# Prerequisites

Two ways, one by forming a project directly, and another by CMake Prerequisites

1. Having installed Eclipse in your workstation (only the CDT plugin for C/C++ is needed). You can follow the following steps:
   - Go to the Eclipse site
   - Download Eclipse IDE for C/C++ Developers . Choose the link according to your workstation.
2. Having installed OpenCV. If not yet, go here.

# Making a project

1. Start Eclipse. Just run the executable that comes in the folder.
2. Go to File -> New -> C/C++ Project

1. Choose a name for your project (i.e. DisplayImage). An Empty Project should be okay for this example.

1. Leave everything else by default. Press Finish.
2. Your project (in this case DisplayImage) should appear in the Project Navigator (usually at the left side of your window).

1. Now, let's add a source file using OpenCV:
   - Right click on DisplayImage (in the Navigator). New -> Folder .

- Name your folder src and then hit Finish
- Right click on your newly created src folder. Choose New source file:
- Call it DisplayImage.cpp. Hit Finish

1. So, now you have a project with a empty .cpp file. Let's fill it with some sample code (in other words, copy and paste the snippet below):
   #include <opencv2/opencv.hpp>
   using namespace cv;
   int main( int argc, char** argv )
   {
   Mat image;
   image = imread( argv[1], IMREAD_COLOR );
   if( argc != 2 || !image.data )
   {
   printf( "No image data \n" );
   return -1;
   }
   namedWindow( "Display Image", WINDOW_AUTOSIZE );
   imshow( "Display Image", image );
   waitKey(0);
   return 0;
   }
   cv::Mat
   n-dimensional dense array class
   Definition mat.hpp:951
   cv::Mat::data
   uchar * data
   pointer to the data
   Definition mat.hpp:2428
   main
   int main(int argc, char *argv[])
   Definition highgui_qt.cpp:3
   cv
   Definition core.hpp:107
2. We are only missing one final step: To tell OpenCV where the OpenCV headers and libraries are. For this, do the following:
   - Go to Project–>Properties
   - In C/C++ Build, click on Settings. At the right, choose the Tool Settings Tab. Here we will enter the headers and libraries info:
     1. In GCC C++ Compiler, go to Includes. In Include paths(-l) you should include the path of the folder where opencv was installed. In our example, this is /usr/local/include/opencv.

Note
  If you do not know where your opencv files are, open the Terminal and type:
  pkg-config --cflags opencv
  For instance, that command gave me this output:
  -I/usr/local/include/opencv -I/usr/local/include

1. Now go to GCC C++ Linker,there you have to fill two spaces:

   First in Library search path (-L) you have to write the path to where the opencv libraries reside, in my case the path is: :

       /usr/local/lib

   Then in Libraries(-l) add the OpenCV libraries that you may need. Usually just the 4 first on the list below are enough (for simple applications) . In my case, I am putting all of them since I plan to use the whole bunch:

   opencv_core opencv_imgproc opencv_imgcodecs opencv_highgui opencv_videoio opencv_video opencv_features opencv_3d opencv_objdetect opencv_flann

If you don't know where your libraries are (or you are just psychotic and want to make sure the path is fine), type in Terminal:

pkg-config --libs opencv

My output (in case you want to check) was:

-L/usr/local/lib -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_video -lopencv_features -lopencv_3d -lopencv_calib -lopencv_stereo -lopencv_objdetect -lopencv_videoio -lopencv_imgcodecs -lopencv_flann

Now you are done. Click OK

- Your project should be ready to be built. For this, go to Project->Build all

  In the Console you should get something like

If you check in your folder, there should be an executable there.

# Running the executable

So, now we have an executable ready to run. If we were to use the Terminal, we would probably do something like:

cd <DisplayImage_directory>
cd src
./DisplayImage ../images/HappyLittleFish.png

Assuming that the image to use as the argument would be located in <DisplayImage_directory>/images/HappyLittleFish.png. We can still do this, but let's do it from Eclipse:

1. Go to Run->Run Configurations
2. Under C/C++ Application you will see the name of your executable + Debug (if not, click over C/C++ Application a couple of times). Select the name (in this case DisplayImage Debug).
3. Now, in the right side of the window, choose the Arguments Tab. Write the path of the image file we want to open (path relative to the workspace/DisplayImage folder). Let's use HappyLittleFish.png:

1. Click on the Apply button and then in Run. An OpenCV window should pop up with the fish image (or whatever you used).

1. Congratulations! You are ready to have fun with OpenCV using Eclipse.

## V2: Using CMake+OpenCV with Eclipse (plugin CDT)

Say you have or create a new file, helloworld.cpp in a directory called foo:

#include <opencv2/opencv.hpp>
using namespace cv;
int main ( int argc, char **argv )
{
Mat img(480, 640, CV_8U);
putText(img, "Hello World!", Point( 200, 400 ), FONT_HERSHEY_SIMPLEX | FONT_ITALIC, 1.0, Scalar( 255, 255, 0 ));
imshow("My Window", img);
waitKey();
return 0;
}
cv::Point_< int >
cv::Scalar_< double >
CV_8U
#define CV_8U
Definition interface.h:76

1. Create a build directory, say, under foo: mkdir /build. Then cd build.
2. Put a `CmakeLists.txt` file in build:
   PROJECT( helloworld_proj )
   FIND_PACKAGE( OpenCV REQUIRED )
   ADD_EXECUTABLE( helloworld helloworld.cxx )
   TARGET_LINK_LIBRARIES( helloworld \f${OpenCV_LIBS} )
3. Run: cmake-gui .. and make sure you fill in where opencv was built.
4. Then click configure and then generate. If it's OK, quit cmake-gui
5. Run `make -j4` (the -j4 is optional, it just tells the compiler to build in 4 threads). Make sure it builds.
6. Start eclipse. Put the workspace in some directory but not in foo or `foo\build`
7. Right click in the Project Explorer section. Select Import And then open the C/C++ filter. Choose Existing Code as a Makefile Project.
8. Name your project, say helloworld. Browse to the Existing Code location `foo\build` (where you ran your cmake-gui from). Select Linux GCC in the "Toolchain for Indexer Settings" and press Finish.
9. Right click in the Project Explorer section. Select Properties. Under C/C++ Build, set the build directory: from something like `${workspace_loc:/helloworld}` to `${workspace_loc:/helloworld}/build` since that's where you are building to.
   1. You can also optionally modify the Build command: from make to something like `make VERBOSE=1 -j4` which tells the compiler to produce detailed symbol files for debugging and also to compile in 4 parallel threads.
10. Done!