/**
* Extract the plane at the different positions and concatenate the Dataset
*
* @param newValue
* @return
*/
private CallbackTask<Void, Void> createSampleImage(File newValue) {
return new CallbackTask<Void, Void>()
.run(
() -> {
try {
File fileTarget = workflowModel.getMapImages().get(newValue);
Dataset datasetTarget = (Dataset) iOService.open(fileTarget.getAbsolutePath());
ImageDisplay imageDisplayTarget = new SilentImageDisplay();
context.inject(imageDisplayTarget);
imageDisplayTarget.display(datasetTarget);
selectPosition(
imageDisplayTarget,
workflowModel.getPositionLeft(),
workflowModel.getPositionRight(),
imageDisplayPaneRight);
Dataset datasetSource = (Dataset) iOService.open(newValue.getAbsolutePath());
ImageDisplay imageDisplaySource = new SilentImageDisplay();
context.inject(imageDisplaySource);
imageDisplaySource.display(datasetSource);
selectPosition(
imageDisplaySource,
workflowModel.getPositionLeft(),
workflowModel.getPositionRight(),
imageDisplayPaneLeft);
} catch (IOException ex) {
Logger.getLogger(ProcessWorkflow.class.getName()).log(Level.SEVERE, null, ex);
}
})
.submit(loadingScreenService);
}
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);
}
}