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.image.objectdetection.hog;
031
032import java.io.File;
033import java.io.IOException;
034import java.util.List;
035
036import org.openimaj.image.DisplayUtilities;
037import org.openimaj.image.FImage;
038import org.openimaj.image.ImageUtilities;
039import org.openimaj.image.MBFImage;
040import org.openimaj.image.colour.RGBColour;
041import org.openimaj.image.objectdetection.filtering.OpenCVGrouping;
042import org.openimaj.io.IOUtils;
043import org.openimaj.math.geometry.shape.Rectangle;
044import org.openimaj.util.pair.ObjectIntPair;
045
046public class Testing {
047        public static void main(String[] args) throws IOException {
048                final HOGClassifier classifier = IOUtils.readFromFile(new File("final-classifier.dat"));
049
050                final HOGDetector detector = new HOGDetector(classifier);
051                final FImage img = ImageUtilities.readF(new File("/Users/jsh2/Data/INRIAPerson/Test/pos/crop_000006.png"));
052                final List<Rectangle> dets = detector.detect(img);
053
054                final List<ObjectIntPair<Rectangle>> fdets = new OpenCVGrouping().apply(dets);
055
056                final MBFImage rgb = img.toRGB();
057                for (final Rectangle r : dets) {
058                        rgb.drawShape(r, RGBColour.RED);
059                }
060                for (final ObjectIntPair<Rectangle> r : fdets) {
061                        rgb.drawShape(r.first, RGBColour.GREEN);
062                }
063
064                DisplayUtilities.display(rgb);
065
066                // classifier.prepare(img);
067                //
068                // for (int k = 0; k < 1000; k++) {
069                // final Timer t1 = Timer.timer();
070                // int width = 64;
071                // int height = 128;
072                // int step = 8;
073                // for (int level = 0; level < 10; level++) {
074                // final MBFImage rgb = img.toRGB();
075                // final Timer t2 = Timer.timer();
076                // int nwindows = 0;
077                // for (int y = 0; y < img.height - height; y += step) {
078                // for (int x = 0; x < img.width - width; x += step) {
079                // final Rectangle rectangle = new Rectangle(x, y, width, height);
080                // nwindows++;
081                // if (classifier.classify(rectangle)) {
082                // rgb.drawShape(new Rectangle(x, y, width, height), RGBColour.RED);
083                // }
084                // }
085                // }
086                // System.out.format("Image %d x %d (%d windows) took %2.2fs\n",
087                // img.width, img.height, nwindows,
088                // t2.duration() / 1000.0);
089                // DisplayUtilities.displayName(rgb, "name " + level);
090                //
091                // width = (int) Math.floor(width * 1.2);
092                // height = (int) Math.floor(height * 1.2);
093                // step = (int) Math.floor(step * 1.2);
094                // }
095                // System.out.format("Total time: %2.2fs\n", t1.duration() / 1000.0);
096                // }
097        }
098}