/*
* 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: 07.08.13 12:09
*/
package net.semanticmetadata.lire.imageanalysis;
import junit.framework.TestCase;
import net.semanticmetadata.lire.DocumentBuilder;
import net.semanticmetadata.lire.impl.ChainedDocumentBuilder;
import net.semanticmetadata.lire.impl.GenericDocumentBuilder;
import net.semanticmetadata.lire.indexing.parallel.ParallelIndexer;
import net.semanticmetadata.lire.utils.FileUtils;
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 org.apache.lucene.util.BytesRef;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Iterator;
import java.util.LinkedList;
public class CEDDTest extends TestCase {
private String[] testFiles = new String[]{"img01.jpg", "img02.jpg", "img03.jpg", "img04.jpg", "img05.jpg", "img06.jpg", "img07.jpg", "img08.jpg", "img09.jpg", "img10.jpg"};
private String testFilesPath = "src/test/resources/small/";
public void testExtraction() throws IOException {
CEDD sch = new CEDD();
BufferedImage image = ImageIO.read(new FileInputStream(testFilesPath + testFiles[0]));
System.out.println("image = " + image.getWidth() + " x " + image.getHeight());
sch.extract(image);
System.out.println("sch = " + sch.getStringRepresentation());
}
public void testRetrieval() throws Exception {
CEDD[] acc = new CEDD[testFiles.length];
LinkedList<String> vds = new LinkedList<String>();
for (int i = 0; i < acc.length; i++) {
System.out.println("Extracting from number " + i);
acc[i] = new CEDD();
acc[i].extract(ImageIO.read(new FileInputStream(testFilesPath + testFiles[i])));
vds.add(acc[i].getStringRepresentation());
}
System.out.println("Calculating distance for " + testFiles[5]);
for (int i = 0; i < acc.length; i++) {
float distance = acc[i].getDistance(acc[5]);
System.out.println(testFiles[i] + " distance = " + distance);
}
int count = 0;
for (Iterator<String> iterator = vds.iterator(); iterator.hasNext(); ) {
String s = iterator.next();
SimpleColorHistogram a = new SimpleColorHistogram();
a.setStringRepresentation(s);
float distance = acc[count].getDistance(a);
System.out.println(testFiles[count] + " distance = " + distance);
count++;
}
}
public void testSingleFile() throws IOException {
CEDD c = new CEDD();
BufferedImage img = ImageIO.read(new File("C:\\Java\\Projects\\LireSVN\\testdata\\UCID\\ucid00001.jpg"));
c.extract(img);
String s = Arrays.toString(c.getDoubleHistogram());
System.out.println("s = " + s);
byte[] b = c.getByteArrayRepresentation();
CEDD d = new CEDD();
d.setByteArrayRepresentation(b);
System.out.println(d.getDistance(c));
}
public void testSerialization() throws IOException {
int bytes = 0;
int sum = 0;
ArrayList<File> files = FileUtils.getAllImageFiles(new File("testdata\\UCID"), true);
for (Iterator<File> iterator = files.iterator(); iterator.hasNext(); ) {
File next = iterator.next();
BufferedImage image = ImageIO.read(next);
CEDD f1 = new CEDD();
CEDD f2 = new CEDD();
f1.extract(image);
// System.out.println(Arrays.toString(f1.getDoubleHistogram()));
// bytes += f1.getByteArrayRepresentation().length;
// sum += 144 / 2;
byte[] br = f1.getByteArrayRepresentation();
f2.setByteArrayRepresentation(br, 0, br.length);
// System.out.println(Arrays.toString(f2.getDoubleHistogram()));
double[] h = f2.getDoubleHistogram();
// int pos = -1;
// for (int i = 0; i < h.length; i++) {
// double v = h[i];
// if (pos == -1) {
// if (v == 0) pos = i;
// } else if (pos > -1) {
// if (v != 0) pos = -1;
// }
// }
// System.out.println("save = " + (144 - pos));
// bytes += (168 - pos);
assertTrue(f2.getDistance(f1) == 0);
boolean isSame = true;
for (int i = 0; i < f2.getDoubleHistogram().length; i++) {
if (f1.getDoubleHistogram()[i] != f2.getDoubleHistogram()[i]) isSame = false;
}
assertTrue(isSame);
}
// double save = 1d - (double) bytes / (double) sum;
// System.out.println(save * 100 + "% saved");
}
public void testIndexSerialization() throws IOException {
ParallelIndexer pi = new ParallelIndexer(8, "test-idx", "testdata\\UCID", true) {
@Override
public void addBuilders(ChainedDocumentBuilder builder) {
builder.addBuilder(new GenericDocumentBuilder(CEDD.class));
}
};
pi.run();
IndexReader ir = DirectoryReader.open(FSDirectory.open(new File("test-idx")));
CEDD tmp = new CEDD();
CEDD idx = new CEDD();
for (int i=0; i< ir.maxDoc(); i++) {
Document d = ir.document(i);
BytesRef ref = d.getBinaryValue(new CEDD().getFieldName());
idx.setByteArrayRepresentation(ref.bytes, ref.offset, ref.length);
tmp.extract(ImageIO.read(new File(d.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0])));
for (int j = 0; j < tmp.getDoubleHistogram().length; j++) {
double v = tmp.getDoubleHistogram()[j];
if (Math.abs(v - idx.getDoubleHistogram()[j]) > 0.1) {
System.err.println(d.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0] + " error at position " + j);
break;
}
}
// assertEquals((double) idx.getDistance(tmp), 0d, 0.00001);
}
}
public void testNextSerialization() throws IOException {
// todo ...
int tmp = 0x0004;
System.out.println("tmp = " + (tmp & 0x0007));
tmp = tmp << 3;
System.out.println("tmp = " + (tmp & 0x0007));
tmp = tmp | 0x003;
System.out.println("tmp = " + (tmp & 0x0007));
tmp = tmp << 3;
tmp = tmp | 0x007;
System.out.println("tmp = " + tmp);
System.out.println("tmp = " + (tmp & 0x0007));
}
/**
* Storing zeros run length coded: one zero is "8", two zeros are "9", ... etc.
* @throws IOException
*/
public void testRLE() throws IOException {
ArrayList<File> files = FileUtils.getAllImageFiles(new File("testdata/ferrari"), true);
int sum = 0, saved = 0;
for (Iterator<File> iterator = files.iterator(); iterator.hasNext(); ) {
File next = iterator.next();
BufferedImage image = ImageIO.read(next);
CEDD f1 = new CEDD();
f1.extract(image);
double[] hist = f1.getDoubleHistogram();
int[] rep = new int[hist.length];
int actualLength = 0;
for (int i = 0; i < hist.length; i++) {
// hist[i];
if (hist[i] == 0) {
int count = 0;
while (i + count < hist.length && hist[i + count] == 0 && count < 8) count++;
if (count == 0) rep[actualLength] = 0;
else {
rep[actualLength] = 7 + count;
i += count-1;
}
} else {
rep[actualLength] = (int) hist[i];
}
actualLength++;
}
for (int i = 0; i < actualLength; i++) {
System.out.print(rep[i] + " ");
}
System.out.println();
// decoding ...
double[] hist2 = new double[144];
int pos = 0;
for (int i = 0; i < actualLength; i++) {
if (rep[i] < 8) {
hist2[pos] = rep[i];
pos++;
} else {
for (int j = 7; j < rep[i]; j++) {
hist2[pos] = 0;
pos++;
}
}
}
sum += 144;
saved += actualLength;
assertTrue(Arrays.equals(hist2, f1.getDoubleHistogram()));
}
System.out.println("sum of dimensions = " + sum);
System.out.println("actual dimensions = " + saved);
}
}