![]() I’m using OpenCV for my 4th year design project and setting it up was a huge pain. I had to look through a whole bunch of different sites to figure out what to do. There are various ways to install it – through package managers such as Homebrew or Macports, or through the tarball + cmake. Now that I’ve got it set up, I decided to write this little post to explain to others how to go about setting it up. Note: This method does not set up the Python bindings for OpenCV (still working on that). Also you will need XCode installed for any of this to work (but you knew that, right?) Also, I tested this on OSX Lion, but it should apply to Snow Leopard or Leopard. You can check to see if it installed successfully by opening your terminal and typing port. Unzip it after you download it into a folder. This will go fetch cmake and its dependencies and install them onto your system. You can check to see that cmake is installed by typing cmake in a new terminal window. We are going to build OpenCV using cmake. Type in the following: # make a separate directory for building In terminal, navigate to the folder where OpenCV was extracted to. The release highlights are as follows: OpenCV is now C++11 library and requires C++11-compliant compiler. There have been a lot of bug fixes and other changes in these versions. This should now build OpenCV into your /usr/local/ directory. OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November. So we now have OpenCV built but we still have to link to the framework in our project. Start a new XCode Command Line Tool project.To do this, right click on the project, and click “Add files to.” dylib files provided by OpenCV into our project. When Finder pops up, hit “/” to bring up the navigation panel.To prevent linker errors, I recommend you initially add ALL the files ending in “…2.3.1.dylib”. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. If you know what you need, you can obviously pick and choose. Last Update: Download Summary Files Reviews Support The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. Click on the project file and go to “Build Settings”.įeel free to move them to a separate group within your project.Load an image from file - change this based on your image name #OPENCV FOR MAC ECLIPSE HOW TO#Įxample showing how to read and write images This is where the header files for OpenCV were built. If( !cvSaveImage("my_image_copy.png", pInpImg) )įprintf(stderr, "failed to write image file\n") Write the image to a file with a different name, PInpImg = cvLoadImage("my_image.jpg", CV_LOAD_IMAGE_UNCHANGED) įprintf(stderr, "failed to load input image\n") Remember to free image memory after using it!Īnd there you go. If it’s not, leave a comment below with the error you get and I’ll try looking into it for you. Hopefully, this helps save you some time. On that note, here is a good OpenCV Tutorial.Įdit: Oops, looks like that link is dead now. Please read before commenting: Hey guys – thanks a lot for all the comments on this thread. ![]() Unfortunately, it’s been a long time since I looked into OpenCV so I don’t remember the details anymore. ![]() If you have questions, skim through the comments because many people have posted their solutions. Feel free to comment if you don’t find an answer. Generated on Thu 23:32:29 for OpenCV by 1.8.On the other hand, if you made some small change that made this work – please add it to the comments so others can find it useful.
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