OpenCV is the world’s most popular computer vision library and it’s used extensively by researchers and developers around the world. OpenCV has been around for a while now and they add something new and interesting with every new release. One of the main additions of OpenCV 3 is “opencv_contrib” which contains a lot of cutting edge algorithms for feature descriptors, text detection, object tracking, shape matching, and so on. They have greatly improved Python support in this release as well. Since OpenCV is available on almost all the popular platforms, this version looks very promising. Let’s see how to install OpenCV 3 with Python support on Mac OS X.
Install Opencv Mac Os
Using Macports to install OpenCV – it’s easier and perfect. Terminal is the best for entire installation. Tutorial: Step 1: Check XCode and Mac OSx. Make sure you are using stable version of Mac OSx and XCode. In my case, I’m using Mac OSx 10.10 Yosemite and XCode 6.1.1. Also install Command Line tools for your XCode! Jan 10, 2015 3. Using Macports to install OpenCV – it’s easier and perfect. Terminal is the best for entire installation. Tutorial: Step 1: Check XCode and Mac OSx. Make sure you are using stable version of Mac OSx and XCode. In my case, I’m using Mac OSx 10.10 Yosemite and XCode 6.1.1. Also install Command Line tools for your XCode!
Prerequisites
CMake: Make sure you have cmake. If you don’t, you can download it from here. It’s a dmg file, so you can just download it and run the installer. Free office suite for macbook air.
Opencv Mac
Install Python using Homebrew: This is an important step! Homebrew is a package manager for OS X that makes our lives easier in many different ways. Instead of using system Python, we need to use brewed Python (this is basically Python installed using Homebrew). If you don’t have Homebrew, you can install it using the following command:
Now that Homebrew is installed, let’s update it and install Python:
Open up your ~/.profile file and add the following line:
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We need to reload the file to update the environment variables. Quicken for the mac. Run the following command to do it:
Let’s confirm that you are using brewed Python. Run the following command from your terminal:
If you see “/usr/local/bin/python” printed on your terminal, you can proceed.
Download OpenCV 3.0.0: You can download it from here.
Download “opencv_contrib”: As discussed earlier, we can use the latest computer vision algorithms from “opencv_contrib”. It is basically a repository that contains state of the art algorithms. Bear in mind that some of them are not free for commercial use, but it is great tool to learn new algorithms. Download opencv_contrib from here.
Installation
We are now ready to build. Run the following commands from you terminal: Principle animation app.
Let’s take a moment to understand what these flags mean exactly:
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Let’s go ahead and install OpenCV 3.0.0. Make sure you are inside the directory “/path/to/opencv-3.0.0/build” and run the following commands:
The “-j4” flag indicates that it should use 4 cores. We are not done yet! Let’s set the library path:
If you want to make it permanent, just add the following line in your “~/.profile” file:
We need to copy the pkg-config file “opencv.pc” to “/usr/local/lib/pkgconfig” and name it “opencv3.pc” so that it doesn’t conflict with our existing OpenCV 2.4.x config file:
We also need to update our PKG_CONFIG_PATH environment variable to make sure it knows where opencv3.pc is located. Open up your “~/.profile” file and add the following line:
Reload your “~/.profile” file.
Opencv For Mac C++
Let’s see if OpenCV with C++ is working:
If you see “Welcome to OpenCV 3.0.0” printed on the terminal, you are good! Let’s check the OpenCV-Python version:
Opencv Mac Os
You should see “3.0.0” printed on the terminal. If you see that, then you are done! You have successfully installed OpenCV 3 with Python support on Mac OS X. Let’s check if it’s working by using something that exists in OpenCV 3.0.0 but not in OpenCV 2.4.9. Go into Python shell by typing “python” in your terminal and run the following commands:
If the above line doesn’t throw an error, then you are all set! You have now successfully verified your OpenCV 3 installation with Python support.
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