![]() ![]() Install OpenCV 3 on macOS with Homebrew (the easy way) To discover the easy way to install OpenCV 3 on macOS via Homebrew, just keep reading. You lose a bit of control (as compared to compiling from source), but what you gain is an easier to follow path to installing OpenCV on your Mac system. Well, there’s a little more to it than that… but the process is greatly simplified. So, is it really that easy? Just can a few simple keystrokes and commands can be used to avoid the hassle and install OpenCV 3 without the headaches? It turns out, there is - just use Homebrew, what many consider to be “the missing package manager for Mac”. “Is there an easier way to install OpenCV on macOS? A way that avoids the complicated CMake configuration?” The downside is that determining the correct CMake paths to your Python interpreter, libraries, and include directories can be non-trivial, especially for users who are new to OpenCV/Unix systems. Over the past few weeks I have demonstrated how to compile OpenCV 3 on macOS with Python ( 2.7, 3.5) bindings from source.Ĭompiling OpenCV via source gives you complete and total control over which modules you want to build, how they are built, and where they are installed.Īll this control can come at a price though. Apple has made significant changes to its bundled Python, potentially resulting in hidden bugs.Click here to download the source code to this post.Building Python via asdf means you always have access to the most recent Python version. As new versions of Python are released, the Python bundled with MacOS will become out-of-date.When using the bundled Python, MacOS updates can remove your Python packages, forcing you to re-install them.Why bother, you ask, when Apple includes Python along with MacOS? Here are some reasons: We are going to install the latest version of Python via asdf and its Python plugin. ![]() ![]() For details, please follow the steps in the MacOS Configuration Guide. This guide assumes that you have already installed Homebrew. While installing Python and Virtualenv on MacOS Ventura and Monterey can be done several ways, this tutorial will guide you through the process of configuring a stock Mac system into a solid Python development environment. Python Development Environment on MacOS Ventura and Monterey ![]()
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