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 the methods described in the earlier sections, we can construct overlapped collages of images, changing their size, orientation, and color. Until now, such collages were made of images, which look like colored rectangles. But we often want to have collages made of non-rectangular images, as shown in the following screenshot:

In the preceding screenshot, the collage is made of a number of sunflower images, having not a rectangular but quite a difficult curvilinear shape. Modeling such shapes directly is a difficult and memory-consuming task. A more elegant solution, used in raster graphics, is using the alpha channel. In this technique, we still use rectangular images but consider the pixels as having not only color components but also an additional alpha component that controls the pixel's opacity. The minimum alpha value (0) means that the pixel is absolutely transparent; that is, invisible to the user. And the maximum alpha value (255) means that the pixel is opaque....