The project settings are already open and we need to click Build Settings: The first thing to do is to add the /usr/local/include/openCV directory to our search path for header files. XCode will create a new project workspace for us. Start Xcode and select MacOS as the platform and Command Line Tool as the application type:Ĭlick Next and select Sample01 as the product name and C++ as the language:Įnd the generator with Finish. Now we can start with a first, very simple, example using Xcode. Our system is finally ready to start developing with OpenCV.

If you don't want to install the big XCode package you can install the XCode Command Line Tools separately via: The command line tools are required to use make, gcc and clang. Of course you will need XCode installed on your Mac or at least Apples XCode Command Line Tools which are installed automatically with XCode versions >6.1. Maybe I will write about that later as well. The procedure to build OpenCV from source is not very difficult and the Python integration is simple as well. There you will find a documentation on how to install homebrew and PyEnv on MacOS as well as setting up a Raspberry Pi and/or Odroid system to make use of Docker to host a website as well as a Rest API. Indeed I prefer and use PyEnv for this and if you like you may look at another project to which I contribute. It includes many helpful information which I modified slightly leaving out the Python installation using virtualenv and virtualenvwrapper as a virtual Python environment. The article is pretty good but it is concentrating on OpenCV for Python. You can use the following procedure to build OpenCV from source code as it is also described on. This is the reason why I recommend to use install OpenCV by building it from the sources available on GitHub. The following shows the brew command to install opencv together with some of those options that was working for a long time:

cuda optimized versions of the libraries that you might want to use.

There is the core package as well as the so called Contrib Package that includes some more algorithms which are perhaps not released or fully tested as well as some algorithms that are patented and therefore some more difficult to use in terms of licensing. It's important to know that OpenCV has different packages. Required: ceres-solver ✔, eigen ✔, ffmpeg ✔, glog ✔, harfbuzz ✔, jpeg ✔, libpng ✔, libtiff ✔, numpy ✘, openblas ✔, openexr ✔, protobuf ✘, ✔, tbb ✔, vtk ✔, webp ✔

Opencv on mac