public void Scribble(int x, int y, ConstraintType constraintType, int brushWidth)
{
if (CurrentNeuralProcess != null)
{
Interop.ConvergenceGap = Constants.Parameters.GetFloat("MAX_CONVERGENCE_GAP");
Interop.ConvergenceGapDelta = Constants.Parameters.GetFloat("MAX_CONVERGENCE_GAP_DELTA");
switch (constraintType)
{
case ConstraintType.Foreground:
Interop.AddForegroundHardConstraint(
new Vector3(x, y, CurrentSlice),
new Vector3(mMousePreviousX, mMousePreviousY, CurrentSlice),
brushWidth,
HardConstraintMode.Scribble);
break;
case ConstraintType.Background:
Interop.AddBackgroundHardConstraint(
new Vector3(x, y, CurrentSlice),
new Vector3(mMousePreviousX, mMousePreviousY, CurrentSlice),
brushWidth,
HardConstraintMode.Scribble);
break;
default:
Release.Assert(false);
break;
}
mMousePreviousX = x;
mMousePreviousY = y;
}
}
public void InitializeConstraintMapAndSegmentationFromBreadcrumbs()
{
if (DatasetDescription.NeuralProcessDescriptions.Count > 0)
{
Release.Assert(CurrentNeuralProcess != null);
var backgroundBreadcrumbs = from neuralProcessDescription in DatasetDescription.NeuralProcessDescriptions.Values
from breadcrumb in neuralProcessDescription.BreadcrumbDescriptions
where !neuralProcessDescription.Color.Equals(CurrentNeuralProcess.Color)
select breadcrumb;
backgroundBreadcrumbs.ToList().ForEach(
breadcrumb => Interop.AddBackgroundHardConstraint(breadcrumb.Position,
Constants.MIN_BRUSH_WIDTH,
HardConstraintMode.Breadcrumb));
CurrentNeuralProcess.BreadcrumbDescriptions.ToList().ForEach(
breadcrumb => Interop.AddForegroundHardConstraint(breadcrumb.Position,
Constants.MIN_BRUSH_WIDTH,
HardConstraintMode.Breadcrumb));
}
}
