Book Image

Mastering openFrameworks: Creative Coding Demystified

By : Denis Perevalov
Book Image

Mastering openFrameworks: Creative Coding Demystified

By: Denis Perevalov

Overview of this book

openFrameworks is a powerful programming toolkit and library designed to assist the creative process through simplicity and intuitiveness. It's a very handy software library written in C++ to reduce the software development process, helping you to kick-start creative coding. With the help of C++ and shaders support, openFrameworks allows for the processing of all kinds of media information with your custom-developed algorithms at the lowest possible level, with the fastest speed. "Mastering openFrameworks: Creative Coding Demystified" will introduce you to a world of creative coding projects, including interactive installations, audio-visual, and sound art projects. You will learn how to make your own projects using openFrameworks. This book focuses on low-level data processing, which allows you to create really unique and cutting-edge installations and projects. "Mastering openFrameworks: Creative Coding Demystified" provides a complete introduction to openFrameworks, including installation, core capabilities, and addons. Advanced topics like shaders, computer vision, and depth cameras are also covered. We start off by discussing the basic topics such as image and video loading, rendering and processing, playing sound samples, and synthesizing new sounds. We then move on to cover 3D graphics, computer vision, and depth cameras. You will also learn a number of advanced topics such as video mapping, interactive floors and walls, video morphing, networking, and using geometry shaders. You will learn everything you need to know in order to create your own projects; create projects of all levels, ranging from simple creative-code experiments, to big interactive systems consisting of a number of computers, depth cameras, and projectors.
Table of Contents (22 chapters)
Mastering openFrameworks: Creative Coding Demystified
About the Author
About the Reviewers

Image filtering

Image filtering means the processing of images using a filter. The term filter in computer vision usually means pixel values modification, which for the given pixel depends only on the pixel values in the neighborhood of the pixel and is independent of the pixel's position. The simplest filters are pixel operations, which transform each pixel value using a rule; for example, the multiplication of each image's pixel with some scalar value. So, += value, -= value, *= value and set( value ) functions, discussed in the Working with ofxCv images section, are pixel operations.

The ofxCv images contain the following filtering functions and pixel operations:

  • The blur( winSize ) function is a smoothing filter that averages the pixel values in a square window around the given pixel with size winSize × winSize pixels. Here, winSize must be an odd integer (that is winSize is equal to 2*rad+1 for some integer rad). Increasing the winSize parameter leads to more smoothing. This filter...