001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030package org.openimaj.demos.sandbox;
031
032import java.io.IOException;
033import java.util.List;
034
035import org.openimaj.image.FImage;
036import org.openimaj.image.MBFImage;
037import org.openimaj.image.colour.RGBColour;
038import org.openimaj.image.objectdetection.FilteringObjectDetector;
039import org.openimaj.image.objectdetection.RotationSimulationObjectDetector;
040import org.openimaj.image.objectdetection.TransformedDetection;
041import org.openimaj.image.objectdetection.filtering.OpenCVGrouping;
042import org.openimaj.image.objectdetection.haar.Detector;
043import org.openimaj.image.objectdetection.haar.OCVHaarLoader;
044import org.openimaj.image.objectdetection.haar.StageTreeClassifier;
045import org.openimaj.math.geometry.shape.Rectangle;
046import org.openimaj.math.geometry.shape.Shape;
047import org.openimaj.time.Timer;
048import org.openimaj.util.pair.ObjectIntPair;
049import org.openimaj.video.VideoDisplay;
050import org.openimaj.video.VideoDisplayListener;
051import org.openimaj.video.capture.VideoCapture;
052
053public class HaarTester {
054        public static void main(String[] args) throws IOException {
055
056                final StageTreeClassifier cascade =
057                                OCVHaarLoader.read(StageTreeClassifier.class
058                                                .getResourceAsStream("haarcascade_frontalface_alt.xml"));
059
060                final Detector haar = new Detector(cascade);
061                haar.setMinimumDetectionSize(20);
062
063                final RotationSimulationObjectDetector<FImage, Float, ObjectIntPair<Rectangle>> det =
064                                new RotationSimulationObjectDetector<FImage, Float, ObjectIntPair<Rectangle>>(
065                                                new FilteringObjectDetector<FImage, Rectangle, ObjectIntPair<Rectangle>>(haar,
066                                                                new OpenCVGrouping(3)), new float[] { -0.7f, -0.35f, 0f, 0.35f, 0.7f }, 0.25f);
067
068                final VideoCapture vc = new VideoCapture(640, 480);
069                VideoDisplay.createVideoDisplay(vc).addVideoListener(new VideoDisplayListener<MBFImage>()
070                {
071                        @Override
072                        public void beforeUpdate(MBFImage frame) {
073                                final Timer t = Timer.timer();
074
075                                final FImage detectionImage = frame.flatten();
076
077                                final List<TransformedDetection<ObjectIntPair<Rectangle>>> rects = det.detect(detectionImage);
078                                // rects = grp.apply(rects);
079                                System.out.println(t.duration());
080
081                                for (final TransformedDetection<ObjectIntPair<Rectangle>> r : rects) {
082                                        final Shape td = r.detected.first.transform(r.transform);
083
084                                        System.out.println(td.calculateRegularBoundingBox());
085
086                                        frame.drawShape(td, RGBColour.RED);
087                                }
088                        }
089
090                        @Override
091                        public void afterUpdate(VideoDisplay<MBFImage> display) {
092                                // TODO Auto-generated method stub
093
094                        }
095                });
096        }
097}