!7

static double confidenceThreshold = 10;

sbool setViewSize = false;

static double timeout = 10;

static int skipFirst = 9;

static int nn = 0, totalSamples;

lib 1008985 // webcam

lib 1008987 // bridj

lib 1004016 // slf4j api

// OpenIMAJ

lib 1004905 lib 1004906 lib 1004908 lib 1004909 lib 1004910

lib 1004911 lib 1004912 lib 1004913 lib 1004914 lib 1004915

lib 1004919 lib 1004920

lib 1009014 // processing.face

lib 1009015 // object detection

lib 1009016 // xpp (xmlpull implementation)

import com.github.sarxos.webcam.*;

import org.openimaj.image.ImageUtilities;

import org.openimaj.image.processing.face.detection.DetectedFace;

import org.openimaj.image.processing.face.detection.HaarCascadeDetector;

p {

  final new FaceDetector d;

  d.onDetect.add(new Runnable {

    new LinkedList<Pair<Long, Int>> samples;

    public void run() {

      int n = l(d.faces);

      long now = sysNow();

      samples.add(pair(now, n));

      while (first(samples).a <= now-toMS(timeout))

        removeFirst(samples);

      ++totalSamples;

      if (totalSamples > skipFirst) {

        double avg = 0;

        for (Pair<Long, Int> p : samples)

          avg += p.b;

        avg /= l(samples);

        double threshold = nn == 0 ? 0.7 : 0.3;

        print(avg);

        int newNN = iceil(avg-threshold);

    		consoleTitle(newNN + " " + formatDouble(avg, 2));

        if (newNN != nn) {

          nn = newNN;

          onNNChange();

        }

      }

    }

  });

  d.start();

}

svoid onNNChange() {

  playWAVSnippet(

    //#1013246

    nn > 0 ? #1013246 : #1013250

  );

}

// original author Bartosz Firyn (SarXos)

sclass FaceDetector {

	new HaarCascadeDetector detector;

	Webcam webcam;

	L<DetectedFace> faces;

	L onDetect = synchroList();

	void start() {

		//webcam = Webcam.getDefault(); // TODO: better web cam selection

		webcam = last(webcam.getWebcams()); 

		if (setViewSize)

		  webcam.setViewSize(WebcamResolution.VGA.getSize());

		webcam.open(true);

		thread "Face Detection" {

  		while licensed {

  			if (!webcam.isOpen()) return;

  			L<DetectedFace> _faces = synchroList();

  			for (DetectedFace f : detector.detectFaces(ImageUtilities.createFImage(webcam.getImage())))

  			  if (f.getConfidence() >= confidenceThreshold)

  			    _faces.add(f);

  			faces = _faces;

  			print("Have " + n2(faces, "face"));

  			pnl(map faceToString(faces));

  			pcallFAll(onDetect);

  			//_print();

  		}

  	}

	}

}

sS faceToString(DetectedFace f) {

  ret f == null ? "" : f.getBounds() + "*" + f.getConfidence();

}