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

Using images for internal calculations

In this chapter we have considered the images mainly as building blocks of a visual scene. In this last section, we will see how images can be used in another way, as the source of data for internal calculations, not displaying on the screen directly. The main examples of such usage are masks and palettes, which we'll discuss now.

An image as a mask

Color cameras and depth cameras give color and depth images that represent the scene they capture (for example, humans in front of the camera). Such images can be processed using pixel-by-pixel methods or with the computer vision library, OpenCV. The result is often a binary image, which is called mask , that contains black pixels denoting the background and white pixels denoting human silhouettes. The mask can be applied for controlling physics and changing any parameter of your interactive installation. The user never sees the mask image itself, but only perceives its effect on the interactive scene's behavior...