Opencv For Mac Os X Install

Mac OS X OpenCV Port. This page is devoted to information specific to the OS X build of OpenCV. Things are changing quickly due to recent work by Willow Garage, and the transition to the CMake build system.

Setting up deep learning environment the easy way on macOS High Sierra 17 Feb 2018 Arun Ponnusamy Source: Google Images This is from a long time Ubuntu user who recently picked up a MacBook Air for all the portability it has to offer. I am completely new to macOS. I had to look around and experiment to install all the packages I was enjoying on Ubuntu. I decided to put together a simple setup guide to get the deep learning environment (particularly for Computer Vision) up and running on macOS the easy way.

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I am documenting the process I followed to get things working. Some of the process may not be the efficient / optimized way but the goal here is to get the job done with minimal efforts / frustration. Target Audience Someone coming from Ubuntu background, completely new to macOS, just want to set things up for deep learning and doesn’t want to feel “I wish I didn’t pick up a MacBook”.. Following are the basic softwares/packages you need for deep learning. This is not an exhaustive list by any means. These are the basic things I work with for Computer Vision.

Depending on your area of interest the list may vary. • python3 • virtualenv • opencv • dlib • tensorflow • keras Before we start.

On Ubuntu, we all know that we can just go to the terminal and sudo apt-get install. But what’s the play here on macOS?

It turns out that macOS is also a Unix based Operating System. So, luckily we have the same terminal we are all familiar with. But with some changes in the way we interact through commands. For example, instead of apt-get package manager we have brew (HomeBrew) here.

I have seen people recommending to install Xcode (an IDE for developers from Apple) as the first thing to do. But I don’t think it’s absolutely necessary. I was running Python scripts fine without actually installing Xcode and also Xcode is a heavy piece of software to run. So, the bottom line is you will be pretty much fine without Xcode. Getting HomeBrew /usr/bin/ruby -e “$(curl - fsSL Open up Terminal and enter the above command.

It will install brew and only the necessary xcode command line tools. Python 3 brew install python3 This will install latest version of Python for you. You can check whether it’s correctly installed by typing python3 on the terminal. Brew install pip3 This will install the package manager for Python3. You can check whether it’s correctly linked to Python3 by typing pip3 -V This should tell the version of pip and the version of Python it’s linked to. (Should be 3.x not 2.x) Virtual Environment Virtual environment is a super useful tool to keep things clean and separate. All the Python packages you install will be virtually contained within a particular virtual environment you create and will not mess with the things outside.

Trust me, this will save you a lot of frustration in future. Pip3 install virtualenv virtualenvwrapper We need to update.bash_profile file before start enjoying the benefits of virtual environment.

(There is no.bashrc in macOS) If you can’t find.bash_profile file in your home directory, you can create one. Vim ~/.bash_profile Add the following few lines and save the file. # virtualenv and virtualenvwrapper export WORKON_HOME=$HOME/.virtualenvs export VIRTUALENVWRAPPER_PYTHON=/usr/local/bin/python3 source /usr/local/bin/virtualenvwrapper.sh In Ubuntu, Python location used to be /usr/bin/python3 Now type source ~/.bash_profile on the terminal. Make sure it doesn’t throw any error. Now you are all set to create your first virtual environment.

Creating Virtual Environment You can create as many virtual environments you want with any name you wish. Formatting wd passport for mac. Mkvirtualenv cv -p python3 The above line creates a virtual environment named cv Now you are inside the virtual environment cv. You can look for (cv) sign at the beginning of shell prompt.

Inside the virtual environment cv You can come out of the environment by typing deactivate and enter the environment by typing workon. Some of the dependencies. Before we start pip installing Python packages, let’s take care of some of the dependencies these packages have. Come out of the virtual environment by typing deactivate.

Brew install cmake This installs cmake which is needed for dlib. To display image outputs from opencv or dlib, we need to install X11. Download X11 from and install it by double clicking the downloaded file.