![]() ![]() ![]() In this tutorial I’ll be detailing how to install OpenCV 3.0 and Python 2.7+ on the OSX operating system - I’ll be covering Python 3+ in a future post. This is our first tutorial in our OpenCV 3.0 install-fest series. How to Install OpenCV 3.0 and Python 2.7+ on OSX ![]() This tutorial still works perfectly if you are using OSX Yosemite or prior, but if you want to install OpenCV on the newer El Capitan and macOS Sierra please use this freshly updated tutorial. UPDATE: The tutorial you are reading now covers how to install OpenCV 3.0 with Python 2.7 bindings on OSX Yosemite and below. But for now, let’s stick with what we know and use Python 2.7. If you’re a Python 3 user and excited to give the bindings a try - don’t worry! I’ll be covering OpenCV 3.0 and Python 3+ installation in a future tutorial. If you’re an Ubuntu or Raspberry Pi user, be sure to keep an eye on PyImageSearch as I’ll be posting OpenCV 3.0 install instructions for Ubuntu and the Raspberry Pi as well.Ī quick note before we get started: While OpenCV 3.0 is indeed compatible with Python 3+, most computer vision developers are still using Python 2.7 (since OpenCV 2.4.X is only compatible with Python 2.7). We’ll go ahead and kick-off our OpenCV 3.0 install fest by installing v3.0 with Python 2.7+ bindings on the OSXplatform. With OpenCV 3.0 it doesn’t get any easier - and there are definitely some caveats and gotchas that you need to look out for (such as the opencv_contrib repository - without it, you’ll be missing out on some important features, such as SIFT, SURF, etc.)īut don’t worry, I’ve got you covered! Just keep following along with the PyImageSearch blog and I promise these tutorials will get you up and running with OpenCV 3.0 in no time. In most cases you’ll be pulling down the repo, installing prerequisites, compiling by hand, and hoping that your installation goes smoothly. It’s not like you can let pip or easy_install to the heavy-lifting for you. We’ll also be performing these Python 2.7 and Python 3+ installations on a variety of platforms including OSX, Ubuntu, and yes, the Raspberry Pi.Īs I’m sure you already know, OpenCV has never been an effortless library to install. To celebrate OpenCV 3.0, I have decided to perform a series of blog posts that detail how to install OpenCV 3.0 on both Python 2.7+ and Python 3+. Click here to download the source code to this postĪs I mentioned last week, OpenCV 3.0 is finally here!Īnd if you’ve been paying attention to my Twitter stream, you may have noticed a bunch of tweets regarding installing OpenCV on OSX and Ubuntu (yep, I’ve been tweeting a lot lately, but that’s just because I’m so excited about the 3.0 release!) Installation will ask you to append path to. Install anaconda, it creates a directory and install everything inside thatĪfter download, goto terminal and download location of anaconda. I'll share what I did: easy steps to install complete package opencv3, numpy, matplotlib, notebook, spyder etc. On top of that installing and linking all site-packages is little problematic and we end up with errors. Problem with Mac is Python 2.7 is already installed by Mac. Some links suggest for Brew and some virtual env, some say install xcode but all failed in my case.ĭont use linux steps to instal opencv-python on Mac. I searched and tried installing opencv3 with python3 for 3 days. D PYTHON_LIBRARY=/usr/local/Cellar/python/2.7.3/Frameworks/amework/Versions/2.7/lib/libpython2.7.dylib\ D PYTHON_INCLUDE_DIR=/usr/local/Cellar/python/2.7.3/Frameworks/amework/Headers\ D PYTHON_PACKAGES_PATH=$WORKON_HOME/opencv/lib/python2.7/site-packages \ cd OpenCV-2.4.3/Ĭmake -D PYTHON_EXECUTABLE=$WORKON_HOME/opencv/bin/python \ Use homebrew to get all the dependencies, but then download the OpenCV tarball and compile yourself being sure to specify all the python related configuration options.Īssuming a virtualenv named 'opencv'. ![]() I have collected most of my setup in a gist here: It was defaulting to the MacOS-installed version despite the fact that I had upgraded python with homebrew and was using a virtualenv for python. For me, the problem was that that OpenCV installer was not finding the right python installation. ![]()
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