OutOfMemoryError after Facededetion - java

package facerec;
import java.awt.event.KeyAdapter;
import java.awt.event.KeyEvent;
import java.util.List;
import javax.swing.JOptionPane;
import javax.swing.SwingUtilities;
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.alignment.RotateScaleAligner;
import org.openimaj.image.processing.face.detection.HaarCascadeDetector;
import org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector;
import org.openimaj.image.processing.face.detection.keypoints.KEDetectedFace;
import org.openimaj.image.processing.face.recognition.EigenFaceRecogniser;
import org.openimaj.image.processing.face.recognition.FaceRecognitionEngine;
import org.openimaj.image.typography.hershey.HersheyFont;
import org.openimaj.math.geometry.point.Point2d;
import org.openimaj.ml.annotation.Annotated;
import org.openimaj.ml.annotation.AnnotatedObject;
import org.openimaj.ml.annotation.ScoredAnnotation;
import org.openimaj.util.pair.IndependentPair;
import org.openimaj.video.VideoDisplay;
import org.openimaj.video.VideoDisplayListener;
import org.openimaj.video.capture.VideoCapture;
public class NewFaceRegister extends KeyAdapter implements VideoDisplayListener<MBFImage> {
private VideoCapture capture;
private VideoDisplay<MBFImage> videoFrame;
FKEFaceDetector faceDetector = new FKEFaceDetector(new HaarCascadeDetector());
private EigenFaceRecogniser<KEDetectedFace, String> recogniser = EigenFaceRecogniser.create(20, new RotateScaleAligner(), 1, DoubleFVComparison.CORRELATION, 0.9f);
FaceRecognitionEngine<KEDetectedFace, String> engine = FaceRecognitionEngine.create(faceDetector, recogniser);
Annotated<KEDetectedFace, String> faceobj;
private FImage currentFrame;
public NewFaceRegister() throws Exception {
capture = new VideoCapture(940, 720);
//engine = new CLMFaceTracker();
//engine.fpd = 120;
videoFrame = VideoDisplay.createVideoDisplay(capture);
videoFrame.addVideoListener(this);
SwingUtilities.getRoot(videoFrame.getScreen()).addKeyListener(this);
}
#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(), "Name der Person eingeben", "",
JOptionPane.QUESTION_MESSAGE);
final List<KEDetectedFace> faces = detectFaces();
if (faces.size() == 1) {
engine.train(faces.get(0), person);
//TODO Datenbankmethode aufrufen, welches das AnnotatedObject (faceObj) speichert.
} else {
System.out.println("Zu viele/wenige Gesichter im Bild");
}
//this.videoFrame.close();
} else
System.out.println("Wrong key");
}
private List<KEDetectedFace> detectFaces() {
return engine.getDetector().detectFaces(currentFrame);
}
#Override
public void afterUpdate(VideoDisplay<MBFImage> 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);*/
final List<KEDetectedFace> faces = detectFaces();
for (KEDetectedFace face : faces) {
frame.drawShape(face.getBounds(), RGBColour.RED);
}
if (recogniser != null && recogniser.listPeople().size() >= 1) {
for (KEDetectedFace face : faces) {
List<IndependentPair<KEDetectedFace, ScoredAnnotation<String>>> name = engine.recogniseBest(face.getFacePatch());
if (name.size() > 0) {
final Point2d r = face.getBounds().getTopLeft();
frame.drawText(name.get(0).getSecondObject().toString(), r, HersheyFont.ROMAN_SIMPLEX, 15, RGBColour.GREEN);
}
}
}
}
public static void main(String[] args) throws Exception {
new NewFaceRegister();
}
}
Why do I get an OutOfMemoryError? I tryed it with an other Dedector and there it works?! I also looked in some other Questions for an Answer and i found one Solution and i excactly worked with it, but it also didn't worked.
It's my first time working with Openimaj.
Exception in thread "Thread-4" java.lang.OutOfMemoryError: Java heap space
at no.uib.cipr.matrix.AbstractDenseMatrix.<init>(AbstractDenseMatrix.java:47)
at no.uib.cipr.matrix.DenseMatrix.<init>(DenseMatrix.java:167)
at no.uib.cipr.matrix.SVD.<init>(SVD.java:98)
at no.uib.cipr.matrix.SVD.<init>(SVD.java:75)
at no.uib.cipr.matrix.SVD.factorize(SVD.java:146)
at org.openimaj.math.matrix.ThinSingularValueDecomposition.<init>(ThinSingularValueDecomposition.java:84)
at org.openimaj.math.matrix.ThinSingularValueDecomposition.<init>(ThinSingularValueDecomposition.java:69)
at org.openimaj.math.matrix.algorithm.pca.ThinSvdPrincipalComponentAnalysis.learnBasisNorm(ThinSvdPrincipalComponentAnalysis.java:56)
at org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis.learnBasis(PrincipalComponentAnalysis.java:183)
at org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis.learnBasis(PrincipalComponentAnalysis.java:170)
at org.openimaj.ml.pca.FeatureVectorPCA.learnBasis(FeatureVectorPCA.java:113)
at org.openimaj.image.model.EigenImages.train(EigenImages.java:125)
at org.openimaj.image.processing.face.feature.EigenFaceFeature$Extractor.train(EigenFaceFeature.java:167)
at org.openimaj.image.processing.face.recognition.EigenFaceRecogniser.beforeBatchTrain(EigenFaceRecogniser.java:159)
at org.openimaj.image.processing.face.recognition.LazyFaceRecogniser.retrain(LazyFaceRecogniser.java:139)
at org.openimaj.image.processing.face.recognition.LazyFaceRecogniser.annotate(LazyFaceRecogniser.java:153)
at org.openimaj.image.processing.face.recognition.EigenFaceRecogniser.annotate(EigenFaceRecogniser.java:55)
at org.openimaj.image.processing.face.recognition.FaceRecogniser.annotateBest(FaceRecogniser.java:115)
at org.openimaj.image.processing.face.recognition.FaceRecognitionEngine.recogniseBest(FaceRecognitionEngine.java:260)
at facerec.NewFaceRegister.beforeUpdate(NewFaceRegister.java:97)
at facerec.NewFaceRegister.beforeUpdate(NewFaceRegister.java:1)
at org.openimaj.video.VideoDisplay.fireBeforeUpdate(VideoDisplay.java:785)
at org.openimaj.video.VideoDisplay.run(VideoDisplay.java:522)
at java.lang.Thread.run(Unknown Source)

The reason you got failed is because of image processing algorithm used. I'm not sure what openimaj uses, but there are two workarounds possible for this:
Increase heap size, so that your application has more memory available for image processing. See How can I increase the JVM memory?
Decrease image size, so that your application will use less memory for processing.
Based on my own experience with face detection on mobile devices (limited memory as well), 940x720 seems to be more than enough for face detection. Feel free to resize into 640x480 (or similar), results should not be affected.
Remember that you can copy your initial image, resize it with any aspect ratio (i.g. 1.5), detect face on new resized image and return initial image with detected face coordinates multiplied on your aspect ratio.

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}
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axis ip camera live streaming using java

i have axis m1114 ip camera
i want to display live streaming as well as record streaming using java. i tried following code but frame rate is very low
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import static com.googlecode.javacv.cpp.opencv_imgproc.*;
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Many Examples
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How to get the single images of an mp4-Movie in Java

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I also found the following:
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*
*/
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*/
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ImageIO.write(frame, "bmp", new File("/Users/jovi/Desktop/frames/frame_"+i+".bmp"));
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import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
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IplImage i;
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i = frameGrabber.grab();
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add DataTable data not working?

I'm trying to get the method data.SetValue(...) working in the asynchronous callback in method getNames. Unfortunately it doesn't work. data.setValue(...) does work in the synchronous method createColumnChartView.
What could be the cause of this problem? Please explain why setting data doesn't work in getNames. Thanks in advance!
import java.util.ArrayList;
import com.google.gwt.core.client.GWT;
import com.google.gwt.user.client.rpc.AsyncCallback;
import com.google.gwt.user.client.ui.Widget;
import com.google.gwt.visualization.client.DataTable;
import com.google.gwt.visualization.client.AbstractDataTable.ColumnType;
import com.google.gwt.visualization.client.visualizations.corechart.ColumnChart;
import com.google.gwt.visualization.client.visualizations.corechart.CoreChart;
import com.google.gwt.visualization.client.visualizations.corechart.Options;
import com.practicum.client.Product;
import com.practicum.client.rpc.ProductService;
import com.practicum.client.rpc.ProductServiceAsync;
public class DataOutColumnChart {
private final DataTable data = DataTable.create();
private final Options options = CoreChart.createOptions();
private final ProductServiceAsync productService = GWT.create(ProductService.class);
public DataOutColumnChart(Runnable runnable) {
}
public Widget createColumnChartView() {
/* create a datatable */
data.addColumn(ColumnType.STRING, "Price");
data.addColumn(ColumnType.NUMBER, "EUR");
data.addRows(2);
data.setValue(0, 0, "Bar 1");
data.setValue(0, 1, 123);
getNames();
/* create column chart */
options.setWidth(400);
options.setHeight(300);
options.setBackgroundColor("#e8e8e9");
return new ColumnChart(data, options);
}
public void getNames() {
productService.getNames(new AsyncCallback<ArrayList<Product>>() {
public void onFailure(Throwable caught) {
}
public void onSuccess(ArrayList<Product> result) {
for (Product p : result) {
data.setValue(0, 0, "Bar 2"); // DONT WORK, NOTHING HAPPENS
data.setValue(0, 1, 345); // DONT WORK, NOTHING HAPPENS
System.out.println("Bla bla test"); // THIS WORKS
}
}
});
}
}
The problem is occurring because you're setting data to a DataTable that has already been rendered. Your Asynchronous call in getNames() completes too slowly to affect the DataTable in time for the rendering of the ColumnChart. Even if it did complete fast enough, it would always be a race condition. Ideally, you would not actually render that chart until after you've received all necessary data from the RPC call.
Another option is to store a reference to that ColumnChart and call columnChart.draw(...) after you get your data back from RPC.
Edit:
Here's the example you requested.
import java.util.ArrayList;
import com.google.gwt.core.client.GWT;
import com.google.gwt.user.client.rpc.AsyncCallback;
import com.google.gwt.user.client.ui.Widget;
import com.google.gwt.visualization.client.DataTable;
import com.google.gwt.visualization.client.AbstractDataTable.ColumnType;
import com.google.gwt.visualization.client.visualizations.corechart.ColumnChart;
import com.google.gwt.visualization.client.visualizations.corechart.CoreChart;
import com.google.gwt.visualization.client.visualizations.corechart.Options;
import com.practicum.client.Product;
import com.practicum.client.rpc.ProductService;
import com.practicum.client.rpc.ProductServiceAsync;
public class DataOutColumnChart {
private final DataTable data = DataTable.create();
private final Options options = CoreChart.createOptions();
private final ProductServiceAsync productService = GWT.create(ProductService.class);
private ColumnChart chart = null;
public DataOutColumnChart(Runnable runnable) {
}
public void initColumnChart() {
/* create a datatable */
data.addColumn(ColumnType.STRING, "Price");
data.addColumn(ColumnType.NUMBER, "EUR");
/* create column chart */
options.setWidth(400);
options.setHeight(300);
options.setBackgroundColor("#e8e8e9");
chart = new ColumnChart(data, options);
}
public void getNames() {
productService.getNames(new AsyncCallback<ArrayList<Product>>() {
public void onFailure(Throwable caught) {
}
public void onSuccess(ArrayList<Product> result) {
if (result != null && result.size() > 0) {
// if there is data...
data.addRows(result.size()); // add a row for each result
for (int i = 0; i < result.size(); i++) {
// loop through the results
Product product = result.get(i); // get out the product
// ...then set the column values for this row
data.setValue(i, 0, product.getSomeProperty());
data.setValue(i, 1, product.getSomeOtherProperty());
}
updateChart();
}
}
});
}
public void updateChart() {
chart.draw(data, options);
}
}

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