Book Image

Processing 2: Creative Programming Cookbook

Book Image

Processing 2: Creative Programming Cookbook

Overview of this book

Processing is probably the best known creative coding environment that helps you bridge the gap between programming and art. It enables designers, artists, architects, students and many others to explore graphics programming and computational art in an easy way, thus helping you boost your creativity. "Processing 2: Creative Programming Cookbook" will guide you to explore and experience the open source Processing language and environment, helping you discover advanced features and exciting possibilities with this programming environment like never before. You'll learn the basics of 2D and 3D graphics programming, and then quickly move up to advanced topics such as audio and video visualization, computer vision, and much more with this comprehensive guide. Since its birth in 2001, Processing has grown a lot. What started out as a project by Ben Fry and Casey Reas has now become a widely used graphics programming language. Processing 2 has a lot of new and exciting features. This cookbook will guide you to explore the completely new and cool graphics engine and video library. Using the recipes in this cookbook, you will be able to build interactive art for desktop computers, Internet, and even Android devices! You don't even have to use a keyboard or mouse to interact with the art you make. The book's next-gen technologies will teach you how to design interactions with a webcam or a microphone! Isn't that amazing? "Processing 2: Creative Programming Cookbook" will guide you to explore the Processing language and environment using practical and useful recipes.
Table of Contents (18 chapters)
Processing 2: Creative Programming Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Defining the region of interest with OpenCV


Sometimes it might be a good thing to let OpenCV know where to search for something. In this recipe, we'll take a look at how we can set the Region of Interest (ROI). We'll set the ROI to the right part of the screen and use the face detection algorithm from the previous recipe. OpenCV will only be able to detect faces in this region.

How to do it...

The code for this sketch is basically the same as the code from the previous recipe. The only difference is that we use the ROI() method in the draw() function to set the region of interest.

import hypermedia.video.*;
import java.awt.Rectangle;
  
OpenCV opencv;

void setup()
{
  size( 640, 480 );
  
  opencv = new OpenCV( this );
  opencv.capture( 320, 240 );
  opencv.cascade( OpenCV.CASCADE_FRONTALFACE_ALT );
}

void draw()
{
  background( 0 );
  
  opencv.read();
  opencv.flip( OpenCV.FLIP_HORIZONTAL );
  opencv.convert( GRAY );
  opencv.ROI( 160, 0, 160, 240 );

  scale( 2 );
  image( opencv.image...