ParallelIndexing.java

/*
 * This file is part of the LIRE project: http://lire-project.net
 * 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: 15.04.13 16:57
 */

package net.semanticmetadata.lire.sampleapp;

import net.semanticmetadata.lire.builders.GlobalDocumentBuilder;
import net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram;
import net.semanticmetadata.lire.imageanalysis.features.global.CEDD;
import net.semanticmetadata.lire.imageanalysis.features.global.FCTH;
import net.semanticmetadata.lire.indexers.parallel.ParallelIndexer;

import java.io.File;
import java.io.IOException;

/**
 * Simple class showing the use of the ParallelIndexer, which uses up as much CPU as it can get.
 * @author Mathias Lux, mathias@juggle.at and Nektarios Anagnostopoulos, nek.anag@gmail.com
 */
public class ParallelIndexing {
    public static void main(String[] args) throws IOException {
        int numOfThreads = 6; // the number of thread used.
        // Checking if arg[0] is there and if it is a directory.
        boolean passed = false;
        if (args.length > 0) {
            File f = new File(args[0]);
            System.out.println("Indexing images in " + args[0]);
            if (f.exists() && f.isDirectory()) passed = true;
        }
        // if there is a second argument, let's assume it is the number of threads used.
        if (args.length > 1) {
            if (args[1].matches("\\d+")) {
                numOfThreads = Math.max(Integer.parseInt(args[1]), 64); // included sanity check.
            }
        }
        if (!passed) {
            System.out.println("No directory given as first argument.");
            System.out.println("Run \"ParallelIndexing <directory>\" to index files of a directory.");
            System.exit(1);
        }

        // use ParallelIndexer to index all photos from args[0] into "index" ... use 6 threads (actually 7 with the I/O thread).
        ParallelIndexer indexer = new ParallelIndexer(numOfThreads, "index", args[0]);
        // use this to add you preferred builders. For now we go for CEDD, FCTH and AutoColorCorrelogram
        indexer.addExtractor(CEDD.class);
        indexer.addExtractor(FCTH.class);
        indexer.addExtractor(AutoColorCorrelogram.class);
        indexer.run();
        System.out.println("Finished indexing.");
    }
}