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Setting up and testing OpenCV in MacOS – tested on Mountain Lion v. 10.8.3
(*) based on the blog notes of Tilo Mitra

Installation:

1. Download the latest version of OpenCV from SourceForge: http://sourceforge.net/projects/opencvlibrary/files/latest/download and unzip it. A folder is extracted with various files and folders
2. Download cmake which is required in order to build and install OpenCV for MacOS. There are 2 alternatives to follow:
• Based on MacPorts
• Download MacPorts for Mountain Lion: https://distfiles.macports.org/MacPorts/MacPorts-2.1.3-10.8-MountainLion.pkg and install it
• Open a terminal window and type: sudo port install cmake. This will download and install cmake.
• Direct download
• Get cmake from http://www.cmake.org/files/v2.8/cmake-2.8.10.2-Darwin64-universal.dmg and install it.
3. Open a terminal window, change directory to where the OpenCV was extracted, create a folder named build and move into it. Then type the following commands:
   

   cmake -G “Unix Makefiles” ..
   make -j8
   sudo make install

   After successful installation everything should be installed in /usr/local/lib and /usr/local/include

4. There is a high probability that step 3.b will result in 2 errors! In this case an additional step is needed:
• Download the latest JUnit from SourceForge: http://sourceforge.net/projects/junit/files/latest/download
• While in the terminal window and inside the “build” directory create a folder named lib:
  

  mkdir modules/java/test/.build/lib

  and copy the downloaded junit file in this folder with:

  cp ~/Downloads/junit-4.10.jar modules/java/test/.build/lib

• Then retry the make process, which will most probably result in 100% success. It is suggested to execute a: “make clean” command before rerunning step 3.b

Testing the installation:

• Start Xcode and create a Command Line Tool project
• Right-click the project name after created and select “Add files to…”. When finder pops-up type “/” to get the navigation panel and type /usr/local/lib and hit Enter. Select all *opencv*.dylib files and include them in the project. It is suggested to group then into one group i.e. named “OpenCV” for easier management
• Select the project name again and go to “Build Settings”. Search for “Header Search Paths” and once found input the path: /usr/local/include
• Open main.cpp file and type in the typical open-save image example shown below

// Example showing how to read and write images
#include
#include
#include

int main(int argc, char** argv)
{
IplImage * pInpImg = 0;

// Load an image from file – change this based on your image name
pInpImg = cvLoadImage(“my_image.jpg”, CV_LOAD_IMAGE_UNCHANGED);
if(!pInpImg)
{
fprintf(stderr, “failed to load input image\n”);
return -1;
}

// Write the image to a file with a different name,
// using a different image format — .png instead of .jpg
if( !cvSaveImage(“my_image_copy.png”, pInpImg) )
{
fprintf(stderr, “failed to write image file\n”);
}

// Remember to free image memory after using it!
cvReleaseImage(&pInpImg);

return 0;
}

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