/* * 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); } }