/*
* 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
*
* Updated: 19.02.15 21:00
*/
package net.semanticmetadata.lire;
import junit.framework.TestCase;
import net.semanticmetadata.lire.imageanalysis.CEDD;
import net.semanticmetadata.lire.imageanalysis.GenericDoubleLireFeature;
import net.semanticmetadata.lire.imageanalysis.bovw.SimpleFeatureBOVWBuilder;
import net.semanticmetadata.lire.impl.ChainedDocumentBuilder;
import net.semanticmetadata.lire.impl.GenericFastImageSearcher;
import net.semanticmetadata.lire.impl.SimpleBuilder;
import net.semanticmetadata.lire.impl.custom.SingleNddCeddImageSearcher;
import net.semanticmetadata.lire.indexing.parallel.ParallelIndexer;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.store.FSDirectory;
import javax.imageio.ImageIO;
import java.io.File;
import java.io.IOException;
/**
* Created by mlux on 13.02.2015.
*/
public class SimpleTest extends TestCase {
String indexPath = "simple_test_idx";
private String imageDirectory = "testdata/wang-1000";
// private String imageDirectory = "D:\\Temp\\imagew\\source_images";
private SimpleBuilder simpleBuilder;
@Override
protected void setUp() throws Exception {
super.setUp();
simpleBuilder = new SimpleBuilder(new CEDD(), SimpleBuilder.KeypointDetector.Random, 400);
}
public void testIndexing() throws IOException {
ParallelIndexer indexer = new ParallelIndexer(4, indexPath, imageDirectory, true) {
// use this to add you preferred builders.
public void addBuilders(ChainedDocumentBuilder builder) {
// builder.addBuilder(new SimpleBuilder(new CEDD(), SimpleBuilder.KeypointDetector.CVSURF));
// builder.addBuilder(new SimpleBuilder(new CEDD(), SimpleBuilder.KeypointDetector.CVSIFT));
builder.addBuilder(simpleBuilder);
// builder.addBuilder(new SimpleBuilder(new CEDD(), SimpleBuilder.KeypointDetector.GaussRandom));
// builder.addBuilder(new SimpleBuilder(new ScalableColor(), SimpleBuilder.KeypointDetector.SURF));
}
};
indexer.run();
SimpleFeatureBOVWBuilder simpleBovwBuilder = new SimpleFeatureBOVWBuilder(DirectoryReader.open(FSDirectory.open(new File(indexPath))), new CEDD(), SimpleBuilder.KeypointDetector.Random, 500, 512);
simpleBovwBuilder.index();
}
public void testSearch() throws IOException {
IndexReader reader = DirectoryReader.open(FSDirectory.open(new File(indexPath)));
ImageSearcher is = new GenericFastImageSearcher(1, GenericDoubleLireFeature.class, (new SimpleBuilder()).getFieldName(SimpleBuilder.KeypointDetector.Random, new CEDD()) + DocumentBuilder.FIELD_NAME_BOVW_VECTOR, true, reader);
is = new SingleNddCeddImageSearcher(reader, false, GenericDoubleLireFeature.class, (new SimpleBuilder()).getFieldName(SimpleBuilder.KeypointDetector.Random, new CEDD()) + DocumentBuilder.FIELD_NAME_BOVW_VECTOR);
String queryFile = "testdata/wang-1000/99.jpg";
// String queryFile = "D:\\Temp\\imagew\\source_images\\04560283.jpg";
SimpleFeatureBOVWBuilder simpleBovwBuilder = new SimpleFeatureBOVWBuilder(reader, new CEDD(), SimpleBuilder.KeypointDetector.Random, 500, 512);
int numSearches = 10;
long ms = System.currentTimeMillis();
for (int j = 0; j < numSearches; j++) {
Document queryDocument = simpleBuilder.createDocument(ImageIO.read(new File(queryFile)), queryFile);
queryDocument = simpleBovwBuilder.getVisualWords(queryDocument);
ImageSearchHits hits = is.search(queryDocument, reader);
for (int i = 0; i < hits.length(); i++) {
System.out.println(hits.score(i) + ": " + hits.doc(i).get(DocumentBuilder.FIELD_NAME_IDENTIFIER));
}
}
ms = System.currentTimeMillis() - ms;
System.out.printf("It took %.2f ms per search\n", (double) ms / (double) numSearches);
}
}