org.openimaj.demos.video.videosift.VideoFacialExpressionRecognition 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.
There is a newer version: 1.3.10
/**
 * 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.demos.video.videosift;

import java.awt.event.KeyAdapter;
import java.awt.event.KeyEvent;
import java.io.File;
import java.io.IOException;
import java.util.List;

import javax.swing.JOptionPane;
import javax.swing.SwingUtilities;

import org.openimaj.feature.DoubleFV;
import org.openimaj.feature.DoubleFVComparison;
import org.openimaj.image.FImage;
import org.openimaj.image.MBFImage;
import org.openimaj.image.colour.RGBColour;
import org.openimaj.image.processing.face.detection.CLMDetectedFace;
import org.openimaj.image.processing.face.feature.CLMShapeFeature;
import org.openimaj.image.processing.face.feature.comparison.FaceFVComparator;
import org.openimaj.image.processing.face.feature.comparison.FacialFeatureComparator;
import org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser;
import org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker;
import org.openimaj.image.typography.hershey.HersheyFont;
import org.openimaj.io.IOUtils;
import org.openimaj.math.geometry.point.Point2d;
import org.openimaj.ml.annotation.AnnotatedObject;
import org.openimaj.ml.annotation.ScoredAnnotation;
import org.openimaj.ml.annotation.basic.KNNAnnotator;
import org.openimaj.video.VideoDisplay;
import org.openimaj.video.VideoDisplayListener;
import org.openimaj.video.capture.VideoCapture;

public class VideoFacialExpressionRecognition extends KeyAdapter implements VideoDisplayListener {
	private VideoCapture capture;
	private VideoDisplay videoFrame;

	private AnnotatorFaceRecogniser recogniser;
	private CLMFaceTracker engine;
	private FImage currentFrame;

	public VideoFacialExpressionRecognition() throws Exception {
		capture = new VideoCapture(320, 240);
		engine = new CLMFaceTracker();
		engine.fpd = 120;
		// engine.fcheck = true;

		videoFrame = VideoDisplay.createVideoDisplay(capture);
		videoFrame.addVideoListener(this);
		SwingUtilities.getRoot(videoFrame.getScreen()).addKeyListener(this);

		final CLMShapeFeature.Extractor extractor = new
				CLMShapeFeature.Extractor();
		final FacialFeatureComparator comparator = new
				FaceFVComparator(
						DoubleFVComparison.EUCLIDEAN);

		final KNNAnnotator knn = KNNAnnotator.create(extractor, comparator, 1,
				5f);

		recogniser = AnnotatorFaceRecogniser.create(knn);
	}

	@Override
	public synchronized void keyPressed(KeyEvent key) {
		if (key.getKeyCode() == KeyEvent.VK_SPACE) {
			this.videoFrame.togglePause();
		} else if (key.getKeyChar() == 'c') {
			// if (!this.videoFrame.isPaused())
			// this.videoFrame.togglePause();

			final String person = JOptionPane.showInputDialog(this.videoFrame.getScreen(), "", "",
					JOptionPane.QUESTION_MESSAGE);

			final List faces = detectFaces();
			if (faces.size() == 1) {
				recogniser.train(new AnnotatedObject(faces.get(0), person));
			} else {
				System.out.println("Wrong number of faces found");
			}

			// this.videoFrame.togglePause();
		} else if (key.getKeyChar() == 'd') {
			engine.reset();
		}
		// else if (key.getKeyChar() == 'q') {
		// if (!this.videoFrame.isPaused())
		// this.videoFrame.togglePause();
		//
		// final List faces = detectFaces();
		// if (faces.size() == 1) {
		// System.out.println("Looks like: " +
		// recogniser.annotate(faces.get(0)));
		// } else {
		// System.out.println("Wrong number of faces found");
		// }
		//
		// this.videoFrame.togglePause();
		// }
		else if (key.getKeyChar() == 's') {
			try {
				final File f = new File("rec.bin");
				f.delete();
				IOUtils.writeBinaryFull(f, this.recogniser);
			} catch (final IOException e) {
				e.printStackTrace();
			}
		} else if (key.getKeyChar() == 'l') {
			try {
				final File f = new File("rec.bin");
				this.recogniser = IOUtils.read(f);
			} catch (final IOException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
			}
		}
	}

	private List detectFaces() {
		return CLMDetectedFace.convert(engine.model.trackedFaces, currentFrame);
	}

	@Override
	public void afterUpdate(VideoDisplay display) {
		// do nothing
	}

	@Override
	public synchronized void beforeUpdate(MBFImage frame) {
		this.currentFrame = frame.flatten();
		engine.track(frame);
		engine.drawModel(frame, true, true, true, true, true);

		if (recogniser != null && recogniser.listPeople().size() >= 1) {
			for (final CLMDetectedFace f : detectFaces()) {
				final List> name = recogniser.annotate(f);

				if (name.size() > 0) {
					final Point2d r = f.getBounds().getTopLeft();
					frame.drawText(name.get(0).annotation, r, HersheyFont.ROMAN_SIMPLEX, 15, RGBColour.GREEN);
				}
			}
		}
	}

	public static void main(String[] args) throws Exception {
		new VideoFacialExpressionRecognition();
	}
}