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/**
* Copyright (c) 2011, The University of Southampton and the individual contributors.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the name of the University of Southampton nor the names of its
* contributors may be used to endorse or promote products derived from this
* software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
* ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package org.openimaj.image.objectdetection.hog;
import java.io.IOException;
import java.net.URL;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import org.openimaj.feature.DoubleFVComparison;
import org.openimaj.image.DisplayUtilities;
import org.openimaj.image.FImage;
import org.openimaj.image.ImageUtilities;
import org.openimaj.image.feature.dense.gradient.HOG;
import org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy;
import org.openimaj.math.geometry.shape.Rectangle;
import org.openimaj.math.statistics.distribution.Histogram;
import org.openimaj.util.pair.ObjectDoublePair;
public class Test {
public static void main(String[] args) throws IOException {
final FImage img = ImageUtilities.readF(new URL(
"http://www.di.ens.fr/willow/teaching/recvis10/final_project/detection/car-img1.png"));
final HOG h = new HOG(new FlexibleHOGStrategy(8, 8, 2));
h.analyseImage(img);
final Rectangle r = new Rectangle(47, 92, 30, 30);
final Histogram f = h.getFeatureVector(r).clone();
img.drawShape(r, 1f);
DisplayUtilities.display(img);
final FImage img2 = ImageUtilities.readF(new URL(
"http://www.di.ens.fr/willow/teaching/recvis10/final_project/detection/car-img3.png"));
h.analyseImage(img2);
final List> data = new ArrayList>();
for (int y = 0; y < img2.height - 30; y++) {
for (int x = 0; x < img2.width - 30; x++) {
final Rectangle rr = new Rectangle(x, y, 30, 30);
final Histogram ff = h.getFeatureVector(rr);
final double c = DoubleFVComparison.EUCLIDEAN.compare(f, ff);
data.add(ObjectDoublePair.pair(rr, c));
}
}
Collections.sort(data, new Comparator>() {
@Override
public int compare(ObjectDoublePair o1, ObjectDoublePair o2) {
return Double.compare(o1.second, o2.second);
}
});
for (int i = 0; i < 10; i++) {
img2.drawShape(data.get(i).first, 1F);
}
DisplayUtilities.display(img2);
}
}