Now we need to install our developer tools: $ sudo apt-get install build-essential cmake git pkg-config Open up a terminal and update the apt-get package manager followed by upgrading any pre-installed packages: $ sudo apt-get update In general, you should find installing OpenCV 3.0 and Python 2.7+ on Ubuntu much easier than installing on OSX. Today we are going to perform the same OpenCV 3.0 and Python 2.7 installation, only on the Ubuntu operating system. Last week we covered how to install OpenCV 3.0 and Python 2.7+ on OSX. This is the second article in the OpenCV 3.0 install-fest series. This tutorial still works perfectly, but if you want to install OpenCV on the newer Ubuntu 16.04 with OpenCV 3.1 and Python 2.7 (or Python 3.5) bindings, 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 Ubuntu 14.04. How to Install OpenCV 3.0 and Python 2.7+ on Ubuntu
But for the time being, let’s stick with Python 2.7. If you would like to use OpenCV 3.0 and Python 3+ on your Ubuntu system, please keep an eye on this blog - I will be posting OpenCV 3.0 and Python 3+ install instructions later this month. In an effort to keep each article self-contained and easy to follow, I am creating separate OpenCV 3.0 install tutorials for Python 2.7 and Python 3+.
However, the install instructions are slightly different between Python 2.7+ and Python 3+. I have personally tested these instructions on Ubuntu 14.04, but they should pretty much work on any Debian-based operating system.Ī quick note before we get started: Yes, OpenCV 3.0 is indeed compatible with Python 3+.
In the remainder of the post I will provide instructions on how to configure and install OpenCV 3.0 and Python 2.7+ on Ubuntu. Today we are going to continue the OpenCV 3.0 install instruction series by moving over to the Ubuntu operating system.
Last week we kicked-off the OpenCV 3.0 install fest by detailing how to install OpenCV 3.0 and Python 2.7+ on the OSX platform. Click here to download the source code to this post
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