Now that we have installed OpenCV on our workstations, let's get our hands dirty with some of the functionalities that OpenCV offers. If you do not get an error on importing cv2 then it was installed correctly. To check if your installation was successful or not, run the following command in either a Python shell, or your command prompt/ terminal: import cv2
#Python opencv mac install
Linux $ sudo apt-get install libopencv-dev python-opencv $ brew install opencv3 -with-contrib -with-python3 Depending upon your OS, execute one of the following commands to install OpenCV library on your system: Note: Since we are going to use OpenCV in the Python language, it is an implicit requirement that you already have Python (version 3) installed on your workstation.
In this tutorial, we'll cover OpenCV installation on Mac, Windows, and Linux, image operations, image arithmetics, image smoothing, and geometric transformations using OpenCV. OpenCV is an open source library which is supported by multiple platforms including Windows, Linux, and MacOS, and is available for use in multiple other languages as well however, it is most commonly used in Python for Machine Learning applications, specifically in the Computer Vision domain.Īpart from its cross-platform support and availability in multiple other computer languages, which allows applications developed in it to be used on different systems, OpenCV is also, in comparison to other such libraries, fairly efficient in terms of computations, as it uses vector operations for most of its functions.
#Python opencv mac how to
In this tutorial, we are going to learn how to use OpenCV library in Python.
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