// An outline provides context around the data.
outlineData = vtk.vtkOutlineFilter()
// outlineData.SetInputConnection(im.GetOutputPort())
outlineData.SetInput(im)
mapOutline = vtk.vtkPolyDataMapper()
mapOutline.SetInputConnection(outlineData.GetOutputPort())
outline = vtk.vtkActor()
outline.SetMapper(mapOutline)
After Change
// An outline provides context around the data.
outlineData = vtk.vtkOutlineFilter()
// outlineData.SetInputConnection(im.GetOutputPort())
if major_version <= 5:
outlineData.SetInput(im)
else:
outlineData.SetInputData(im)
mapOutline = vtk.vtkPolyDataMapper()
mapOutline.SetInputConnection(outlineData.GetOutputPort())
outline = vtk.vtkActor()
outline.SetMapper(mapOutline)
outline.GetProperty().SetColor(1, 0, 0)
// Now we are creating three orthogonal planes passing through the
// volume. Each plane uses a different texture map and therefore has
// diferent coloration.
// Start by creatin a black/white lookup table.
lut = vtk.vtkLookupTable()
lut.SetTableRange(vol.min(), vol.max())
lut.SetSaturationRange(0, 0)
lut.SetHueRange(0, 0)
lut.SetValueRange(0, 1)
lut.SetRampToLinear()
lut.Build()
x1, x2, y1, y2, z1, z2 = im.GetExtent()
// print x1,x2,y1,y2,z1,z2
// Create the first of the three planes. The filter vtkImageMapToColors
// maps the data through the corresponding lookup table created above.
// The vtkImageActor is a type of vtkProp and conveniently displays an
// image on a single quadrilateral plane. It does this using texture
// mapping and as a result is quite fast. (Note: the input image has to
// be unsigned char values, which the vtkImageMapToColors produces.)
// Note also that by specifying the DisplayExtent, the pipeline
// requests data of this extent and the vtkImageMapToColors only
// processes a slice of data.
planeColors = vtk.vtkImageMapToColors()
// saggitalColors.SetInputConnection(im.GetOutputPort())
if major_version <= 5:
planeColors.SetInput(im)
else:
planeColors.SetInputData(im)
planeColors.SetLookupTable(lut)
planeColors.Update()
saggitals = []
