/**
* Default main
*
* @param args Command-line arguments
*/
public static void main(final String[] args) {
// Open the audio stream
final XuggleAudio a =
new XuggleAudio(
AudioWaveformPlotter.class.getResource(
"/org/openimaj/demos/audio/140bpm_formware_psytech.mp3"));
// This is how wide we're going to draw the display
final int w = 1920;
// This is how high we'll draw the display
final int h = 200;
final MBFImage img =
org.openimaj.vis.audio.AudioOverviewVisualisation.getAudioWaveformImage(
a, w, h, new Float[] {0f, 0f, 0f, 1f}, new Float[] {1f, 1f, 1f, 1f});
// Write the image to a file.
try {
ImageUtilities.write(img, "png", new File("audioWaveform.png"));
} catch (final IOException e) {
e.printStackTrace();
}
// Display the image
DisplayUtilities.display(img);
}
/**
* Testing
*
* @param args
* @throws IOException
*/
public static void main(String[] args) throws IOException {
FImage image = ImageUtilities.readF(new File("/Users/jsh2/Desktop/image.png"));
FImage template = image.extractROI(100, 100, 100, 100);
image.fill(0f);
image.drawImage(template, 100, 100);
TemplateMatcher matcher = new TemplateMatcher(template, Mode.CORRELATION);
matcher.setSearchBounds(new Rectangle(100, 100, 200, 200));
image.analyseWith(matcher);
DisplayUtilities.display(matcher.responseMap.normalise());
MBFImage cimg = image.toRGB();
for (FValuePixel p : matcher.getBestResponses(10)) {
System.out.println(p);
cimg.drawPoint(p, RGBColour.RED, 1);
}
cimg.drawShape(matcher.getSearchBounds(), RGBColour.BLUE);
cimg.drawShape(new Rectangle(100, 100, 100, 100), RGBColour.GREEN);
DisplayUtilities.display(cimg);
}
/**
* @param args
* @throws IOException
*/
public static void main(String[] args) throws IOException {
FImage img1, img2;
int nFeatures = 100;
TrackingContext tc = new TrackingContext();
FeatureList fl = new FeatureList(nFeatures);
KLTTracker tracker = new KLTTracker(tc, fl);
System.out.println(tc);
img1 = ImageUtilities.readF(Example1.class.getResourceAsStream("img0.pgm"));
img2 = ImageUtilities.readF(Example1.class.getResourceAsStream("img1.pgm"));
tracker.selectGoodFeatures(img1);
System.out.println("\nIn first image:\n");
for (int i = 0; i < fl.features.length; i++) {
System.out.format(
"Feature #%d: (%f,%f) with value of %d\n",
i, fl.features[i].x, fl.features[i].y, fl.features[i].val);
}
DisplayUtilities.display(fl.drawFeatures(img1));
fl.writeFeatureList(null, "%3d");
tracker.trackFeatures(img1, img2);
System.out.println("\nIn second image:\n");
for (int i = 0; i < fl.features.length; i++) {
System.out.format(
"Feature #%d: (%f,%f) with value of %d\n",
i, fl.features[i].x, fl.features[i].y, fl.features[i].val);
}
DisplayUtilities.display(fl.drawFeatures(img2));
fl.writeFeatureList(null, "%5.1f");
}
/**
* an example run
*
* @param args
* @throws IOException
*/
public static void main(String[] args) throws IOException {
float sd = 5;
float si = 1.4f * sd;
HessianIPD ipd = new HessianIPD(sd, si);
FImage img =
ImageUtilities.readF(
AffineAdaption.class.getResourceAsStream("/org/openimaj/image/data/sinaface.jpg"));
// img = img.multiply(255f);
// ipd.findInterestPoints(img);
// List<InterestPointData> a = ipd.getInterestPoints(1F/(256*256));
//
// System.out.println("Found " + a.size() + " features");
//
// AffineAdaption adapt = new AffineAdaption();
// EllipticKeyPoint kpt = new EllipticKeyPoint();
MBFImage outImg = new MBFImage(img.clone(), img.clone(), img.clone());
// for (InterestPointData d : a) {
//
//// InterestPointData d = new InterestPointData();
//// d.x = 102;
//// d.y = 396;
// logger.info("Keypoint at: " + d.x + ", " + d.y);
// kpt.si = si;
// kpt.centre = new Pixel(d.x, d.y);
// kpt.size = 2 * 3 * kpt.si;
//
// boolean converge = adapt.calcAffineAdaptation(img, kpt);
// if(converge)
// {
// outImg.drawShape(new
// Ellipse(kpt.centre.x,kpt.centre.y,kpt.axes.getX(),kpt.axes.getY(),kpt.phi), RGBColour.BLUE);
// outImg.drawPoint(kpt.centre, RGBColour.RED,3);
// }
//
//
//
// logger.info("... converged: "+ converge);
// }
AffineAdaption adapt = new AffineAdaption(ipd, new IPDSelectionMode.Count(100));
adapt.findInterestPoints(img);
InterestPointVisualiser<Float[], MBFImage> ipv =
InterestPointVisualiser.visualiseInterestPoints(outImg, adapt.points);
DisplayUtilities.display(ipv.drawPatches(RGBColour.BLUE, RGBColour.RED));
}