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.data.dataset.ListDataset;
037import org.openimaj.data.dataset.VFSListDataset;
038import org.openimaj.image.FImage;
039import org.openimaj.image.ImageUtilities;
040import org.openimaj.io.IOUtils;
041import org.openimaj.math.geometry.shape.Rectangle;
042
043public class Evaluate {
044        public static void main(String[] args) throws IOException {
045                final HOGClassifier classifier = IOUtils.readFromFile(new File("initial-classifier.dat"));
046                final HOGDetector detector = new HOGDetector(classifier);
047
048                for (float thresh = 0; thresh < 1; thresh += 0.1) {
049                        detector.threshold = thresh;
050
051                        final ListDataset<FImage> neg = new VFSListDataset<FImage>("/Users/jsh2/Data/INRIAPerson/Test/neg",
052                                        ImageUtilities.FIMAGE_READER);
053                        final ListDataset<FImage> pos = new VFSListDataset<FImage>("/Users/jsh2/Data/INRIAPerson/Test/pos",
054                                        ImageUtilities.FIMAGE_READER);
055
056                        int falsePositives = 0;
057                        int trueNegatives = 0;
058                        for (final FImage i : neg) {
059                                final List<Rectangle> rectangles = detector.detect(i);
060                                if (rectangles.size() > 0)
061                                        falsePositives++;
062                                else
063                                        trueNegatives++;
064                        }
065
066                        int falseNegatives = 0;
067                        int truePositives = 0;
068                        for (final FImage i : pos) {
069                                final List<Rectangle> rectangles = detector.detect(i);
070                                if (rectangles.size() > 0)
071                                        truePositives++;
072                                else
073                                        falseNegatives++;
074                        }
075
076                        final double missRate = (double) falseNegatives / (double) (truePositives + falseNegatives);
077                        System.out.format("%f\t%d\t%d\t%d\t%d\t%f\n", thresh, truePositives, trueNegatives, falsePositives,
078                                        falseNegatives, missRate);
079                }
080        }
081}