![brew install opencv@2 using python 3 brew install opencv@2 using python 3](https://solarianprogrammer.com/images/2019/10/21/demo_macos_opencv_python.png)
The default is IMREAD_COLOR, which simply reads the colored image using the RGB channels only. The second one is IMREAD_UNCHANGED, which loads the image without cutting out the alpha channel. First one is IMREAD_GRAYSCALE, which as the name suggests, converts the image to grayscale before reading it. The function we'll use for reading/loading an image is cv2.imread(), which has two variations.
![brew install opencv@2 using python 3 brew install opencv@2 using python 3](https://i.stack.imgur.com/g4hkb.png)
$ 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.
#Brew install opencv@2 using python 3 how to#
In this tutorial, we are going to learn how to use OpenCV library in Python.