
org.openimaj.image.objectdetection.haar.training.Runner Maven / Gradle / Ivy
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A project for various tests that don't quite constitute
demos but might be useful to look at.
/**
* 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.haar.training;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.util.List;
import org.openimaj.image.MBFImage;
import org.openimaj.image.colour.RGBColour;
import org.openimaj.image.objectdetection.haar.Detector;
import org.openimaj.image.objectdetection.haar.StageTreeClassifier;
import org.openimaj.io.IOUtils;
import org.openimaj.math.geometry.shape.Rectangle;
import org.openimaj.video.VideoDisplay;
import org.openimaj.video.VideoDisplayListener;
import org.openimaj.video.capture.VideoCapture;
public class Runner {
public static void main(String[] args) throws FileNotFoundException, IOException {
final StageTreeClassifier classifier = IOUtils.read(new ObjectInputStream(new FileInputStream(new File(
"test-classifier.bin"))));
// classifier.getRoot().threshold = 2;
// final StageTreeClassifier classifier =
// OCVHaarLoader.read(OCVHaarLoader.class
// .getResourceAsStream("test.xml"));
final Detector d = new Detector(classifier);
d.setMinimumDetectionSize(100);
final VideoCapture vc = new VideoCapture(640, 480);
VideoDisplay.createVideoDisplay(vc).addVideoListener(new VideoDisplayListener() {
@Override
public void beforeUpdate(MBFImage frame) {
final List rects = d.detect(frame.flatten());
System.out.println(rects.size());
for (final Rectangle r : rects)
frame.drawShape(r, RGBColour.RED);
}
@Override
public void afterUpdate(VideoDisplay display) {
// TODO Auto-generated method stub
}
});
}
}
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