org.openimaj.image.objectdetection.hog.HOGClassifier Maven / Gradle / Ivy

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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
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 * (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.util.List;

import org.openimaj.feature.DoubleFV;
import org.openimaj.image.FImage;
import org.openimaj.image.feature.dense.gradient.HOG;
import org.openimaj.math.geometry.shape.Rectangle;
import org.openimaj.math.statistics.distribution.Histogram;
import org.openimaj.ml.annotation.Annotator;
import org.openimaj.ml.annotation.ScoredAnnotation;

public class HOGClassifier {
	int width;
	int height;
	HOG hogExtractor;
	Annotator classifier;

	public void prepare(FImage image) {
		hogExtractor.analyseImage(image);
	}

	public double classify(Rectangle current) {
		final Histogram fv = hogExtractor.getFeatureVector(current);

		final List> res = classifier.annotate(fv);

		if (res.get(0).annotation) {
			return res.get(0).confidence;
		} else {
			return 1 - res.get(0).confidence;
		}
	}
}