/** Generate the different intensity profiles from drawn objects for each ImageDisplay */
public void generateTrainingSet() {
double maxDiameter = 0.0;
List<ImageDisplay> displays = imageDisplayService.getImageDisplays();
imgDatasets = new ArrayList<>(displays.size());
List<Dataset> labeledDs = new ArrayList<>(displays.size());
List<List<Overlay>> overlaySet = new ArrayList<>();
displays
.stream()
.forEach(
id -> {
imgDatasets.add(imageDisplayService.getActiveDataset(id));
overlaySet.add(overlayService.getOverlays(id));
});
int numProfiles = 0;
for (int ds = 0; ds < imgDatasets.size(); ds++) {
labeledDs.add(imagePlaneService.createEmptyPlaneDataset(imgDatasets.get(ds)));
ArrayList<Point2D> centers = new ArrayList<>();
for (Overlay o : overlaySet.get(ds)) {
OverlayShapeStatistics stats = overlayStatService.getShapeStatistics(o);
centers.add(stats.getCenterOfGravity());
if (stats.getFeretDiameter() > maxDiameter) maxDiameter = stats.getFeretDiameter();
overlayDrawingService.drawOverlay(
o, OverlayDrawingService.OUTLINER, labeledDs.get(ds), COLOR);
}
// uis.show(labeledDs.get(ds));
ProfilesSet profiles = new DefaultProfilesSet(centers, (int) maxDiameter, context);
generateConfirmationSet(profiles, labeledDs.get(ds));
numProfiles += profiles.size();
trainingData.add(profiles);
}
eventService.publish(new ProfileEvent(ProfileType.TRAIN, numProfiles));
}
public void dummySegmentation() {
List<Dataset> predictDataset = new ArrayList<>(imgDatasets.size());
INDArray predict = dummyClassification();
int currIdx = 0;
for (int ds = 0; ds < imgDatasets.size(); ds++) {
List<List<int[]>> profilesSet = testData.get(ds).getProfiles();
predictDataset.add(imagePlaneService.createEmptyPlaneDataset(imgDatasets.get(ds)));
Dataset currDataset = predictDataset.get(ds);
RandomAccess<RealType<?>> randomAccess = currDataset.randomAccess();
for (List<int[]> p : profilesSet) {
for (int i = 0; i < p.size(); i++) {
randomAccess.setPosition(p.get(i)[0], 0);
randomAccess.setPosition(p.get(i)[1], 1);
double value = predict.getRow(currIdx).getDouble(i);
if (value != 0) randomAccess.get().setReal(value);
}
}
Overlay[] overlays = BinaryToOverlay.transform(context, currDataset, true);
// List<Overlay> overlayList = Arrays.asList(BinaryToOverlay.transform(context,
// currDataset, true));
overlayStatService.setRandomColor(Arrays.asList(overlays));
ImageDisplay display = new DefaultImageDisplay();
context.inject(display);
display.display(currDataset);
for (Overlay o : overlays) {
display.display(o);
}
uis.show(display);
}
}
