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#!/usr/bin/env python
import vtk
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# demonstrate labeling of contour with scalar value
# Create the RenderWindow, Renderer and both Actors
#
ren1 = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.SetMultiSamples(0)
renWin.AddRenderer(ren1)
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)
# Read a slice and contour it
v16 = vtk.vtkVolume16Reader()
v16.SetDataDimensions(64, 64)
v16.GetOutput().SetOrigin(0.0, 0.0, 0.0)
v16.SetDataByteOrderToLittleEndian()
v16.SetFilePrefix(VTK_DATA_ROOT + "/Data/headsq/quarter")
v16.SetImageRange(45, 45)
v16.SetDataSpacing(3.2, 3.2, 1.5)
iso = vtk.vtkContourFilter()
iso.SetInputConnection(v16.GetOutputPort())
iso.GenerateValues(6, 500, 1150)
iso.Update()
numPts = iso.GetOutput().GetNumberOfPoints()
isoMapper = vtk.vtkPolyDataMapper()
isoMapper.SetInputConnection(iso.GetOutputPort())
isoMapper.ScalarVisibilityOn()
isoMapper.SetScalarRange(iso.GetOutput().GetScalarRange())
isoActor = vtk.vtkActor()
isoActor.SetMapper(isoMapper)
# Subsample the points and label them
mask = vtk.vtkMaskPoints()
mask.SetInputConnection(iso.GetOutputPort())
mask.SetOnRatio(numPts // 50)
mask.SetMaximumNumberOfPoints(50)
mask.RandomModeOn()
# Create labels for points - only show visible points
visPts = vtk.vtkSelectVisiblePoints()
visPts.SetInputConnection(mask.GetOutputPort())
visPts.SetRenderer(ren1)
ldm = vtk.vtkLabeledDataMapper()
ldm.SetInputConnection(mask.GetOutputPort())
# ldm.SetLabelFormat("%g")
ldm.SetLabelModeToLabelScalars()
tprop = ldm.GetLabelTextProperty()
tprop.SetFontFamilyToArial()
tprop.SetFontSize(10)
tprop.SetColor(1, 0, 0)
contourLabels = vtk.vtkActor2D()
contourLabels.SetMapper(ldm)
# Add the actors to the renderer, set the background and size
#
ren1.AddActor2D(isoActor)
ren1.AddActor2D(contourLabels)
ren1.SetBackground(1, 1, 1)
renWin.SetSize(500, 500)
renWin.Render()
ren1.GetActiveCamera().Zoom(1.5)
# render the image
#
#iren.Start()
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