/*
* This file is part of the LIRE project: http://www.semanticmetadata.net/lire
* LIRE is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* LIRE is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with LIRE; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* We kindly ask you to refer the any or one of the following publications in
* any publication mentioning or employing Lire:
*
* Lux Mathias, Savvas A. Chatzichristofis. Lire: Lucene Image Retrieval –
* An Extensible Java CBIR Library. In proceedings of the 16th ACM International
* Conference on Multimedia, pp. 1085-1088, Vancouver, Canada, 2008
* URL: http://doi.acm.org/10.1145/1459359.1459577
*
* Lux Mathias. Content Based Image Retrieval with LIRE. In proceedings of the
* 19th ACM International Conference on Multimedia, pp. 735-738, Scottsdale,
* Arizona, USA, 2011
* URL: http://dl.acm.org/citation.cfm?id=2072432
*
* Mathias Lux, Oge Marques. Visual Information Retrieval using Java and LIRE
* Morgan & Claypool, 2013
* URL: http://www.morganclaypool.com/doi/abs/10.2200/S00468ED1V01Y201301ICR025
*
* Copyright statement:
* --------------------
* (c) 2002-2013 by Mathias Lux (mathias@juggle.at)
* http://www.semanticmetadata.net/lire, http://www.lire-project.net
*/
package net.semanticmetadata.lire.imageanalysis;
import junit.framework.TestCase;
import net.semanticmetadata.lire.imageanalysis.visualattention.StentifordModel;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
//import net.semanticmetadata.lire.imageanalysis.visualattention.ParallelStentifordModel;
/**
* Tests the use of the Stentiford Attention Model.
* User: Mathias Lux
* Date: 22.03.2010
* Time: 16:36:57
*/
public class AttentionModelTest extends TestCase {
public void testExtraction() throws IOException {
StentifordModel sm = new StentifordModel();
// sm.extract(ImageIO.read(new File("wang-1000/103.jpg")));
sm.extract(ImageIO.read(new File("src\\test\\resources\\images\\img01.JPG")));
ImageIO.write(sm.getAttentionVisualization(), "png", new File("out.png"));
}
public void testParameters() throws IOException {
for (int i = 50; i < 250; i += 10)
compute(5, i, 40);
}
private void compute(int neighbourhoodSize, int maxChecks, int maxDist) throws IOException {
StentifordModel sm = new StentifordModel(neighbourhoodSize, maxChecks, maxDist);
StringBuilder sb = new StringBuilder(256);
sb.append('_');
sb.append(neighbourhoodSize);
sb.append('_');
sb.append(maxChecks);
sb.append('_');
sb.append(maxDist);
sb.append('_');
sm.extract(ImageIO.read(new File("wang-1000/103.jpg")));
ImageIO.write(sm.getAttentionVisualization(), "png", new File("out" + sb.toString() + ".png"));
}
public void testPerformance() throws IOException {
StentifordModel sm = new StentifordModel(3, 100, 40);
int runs = 5;
BufferedImage img = ImageIO.read(new File("wang-1000/103.jpg"));
long t = System.currentTimeMillis();
for (int i = 0; i < runs; i++) {
sm.extract(img);
}
t = System.currentTimeMillis() - t;
System.out.println("t = " + t / runs);
}
}