Since, Xcode(9.2) setup size is about 5.5 GB it may take about 30–60 minutes to install depending on the internet speed.Īptly titled ‘The missing package manager for macOS’, enough said. Open the App Store and search for Xcode and then click the Get button(in my case it shows Open because I have Xcode installed). It changes to Open after Xcode is installed.
This post goes through setting up OpenCV and C++ environment on MacBooks which is actually the hardest part for a beginner starting in computer vision because of lack of trustworthy documentation since most tutorials online deal with setting up the environment for Python and a very less percentage of them deal with setting it up on Xcode.Ĭlick on the Get button to start the installation. However, Python is not used for computer vision in industry and thus the motivation for writing this. Unfortunately, I used Python with OpenCV for computer vision for ease of use since Python is much more readable, easier to code than C++ and setting the development environment is easier too. A lot of the new features in OpenCV are first available in C++ and then introduced to Python since OpenCV is natively written in C++ and provides bindings for Python, Java and MATLAB. is written in C++ to maximize performance on resource constrained devices such as mobile phones and tablets. After interviewing with some companies in Silicon Valley, I got to know that a lot of commercial AR software such as Snap Lenses, Instagram’s Filters, Apple’s Animoji, etc. Xcode is a free and excellent IDE not only for creating iOS apps but also for C++ development and working on computer vision projects using OpenCV.
Setting up OpenCV and C++ development environment in Xcode for Computer Vision projects
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