Python vtkImageDataToPointSet 예제들

예제 #1

iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)

# Create a synthetic source: sample a sphere across a volume
sphere = vtk.vtkSphere()
sphere.SetCenter(0.0, 0.0, 0.0)
sphere.SetRadius(0.25)

sample = vtk.vtkSampleFunction()
sample.SetImplicitFunction(sphere)
sample.SetModelBounds(-0.5, 0.5, -0.5, 0.5, -0.5, 0.5)
sample.SetSampleDimensions(res, res, res)
sample.Update()

# Handy dandy filter converts image data to structured grid
convert = vtk.vtkImageDataToPointSet()
convert.SetInputConnection(sample.GetOutputPort())
convert.Update()
input = convert.GetOutput()

# Create a cutting plane
plane = vtk.vtkPlane()
plane.SetOrigin(input.GetCenter())
plane.SetNormal(1, 1, 1)

# First create the usual cutter
cutter = vtk.vtkCutter()
cutter.SetInputData(input)
cutter.SetCutFunction(plane)
cutter.GeneratePolygons = 0

예제 #2

파일: TestSphereTreeFilter2.py 프로젝트: ElsevierSoftwareX/SOFTX-D-15-00004

# structured grid, and unstructured grid. This sampling of datasets tests the
# three execution paths currently in the sphere tree.

# Create a synthetic image data: sample a sphere across a volume
sphere = vtk.vtkSphere()
sphere.SetCenter(0.0,0.0,0.0)
sphere.SetRadius(0.25)

image = vtk.vtkSampleFunction()
image.SetImplicitFunction(sphere)
image.SetModelBounds(-0.5,0.5, -0.5,0.5, -0.5,0.5)
image.SetSampleDimensions(res,res,res)
image.Update()

# Handy dandy filter converts image data to structured grid
sgrid = vtk.vtkImageDataToPointSet()
sgrid.SetInputConnection(image.GetOutputPort())
sgrid.Update()

# Convert the image data to unstructured grid
extractionSphere = vtk.vtkSphere()
extractionSphere.SetRadius(100)
extractionSphere.SetCenter(0,0,0)

extract = vtk.vtkExtractGeometry()
extract.SetImplicitFunction(extractionSphere)
extract.SetInputConnection(image.GetOutputPort())
extract.Update()

# ======= 00
# Create a sphere tree and see what it look like

예제 #3

파일: TestRectilinearGridPlaneCutter.py 프로젝트: ElsevierSoftwareX/SOFTX-D-15-00004

iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)

# Create a synthetic source: sample a sphere across a volume
sphere = vtk.vtkSphere()
sphere.SetCenter(0.0, 0.0, 0.0)
sphere.SetRadius(0.25)

sample = vtk.vtkSampleFunction()
sample.SetImplicitFunction(sphere)
sample.SetModelBounds(-0.5, 0.5, -0.5, 0.5, -0.5, 0.5)
sample.SetSampleDimensions(res, res, res)
sample.Update()

# Converts image data to structured grid
convert = vtk.vtkImageDataToPointSet()
convert.SetInputConnection(sample.GetOutputPort())
convert.Update()

cthvtr = vtk.vtkXMLRectilinearGridReader()
cthvtr.SetFileName("" + str(VTK_DATA_ROOT) + "/Data/cth.vtr")
cthvtr.CellArrayStatus = ['Pressure', 'Void Volume Fraction', 'X Velocity', 'Y Velocity', 'Z Velocity', 'Volume Fraction for Armor Plate', 'Mass for Armor Plate', 'Volume Fraction for Body, Nose', 'Mass for Body, Nose']
cthvtr.Update()
input = cthvtr.GetOutput()

# Create a cutting plane
plane = vtk.vtkPlane()
plane.SetOrigin(input.GetCenter())
plane.SetNormal(1, 1, 1)

# First create the usual cutter

예제 #4

# structured grid, and unstructured grid. This sampling of datasets tests the
# three execution paths currently in the sphere tree.

# Create a synthetic image data: sample a sphere across a volume
sphere = vtk.vtkSphere()
sphere.SetCenter(0.0, 0.0, 0.0)
sphere.SetRadius(0.25)

image = vtk.vtkSampleFunction()
image.SetImplicitFunction(sphere)
image.SetModelBounds(-0.5, 0.5, -0.5, 0.5, -0.5, 0.5)
image.SetSampleDimensions(res, res, res)
image.Update()

# Handy dandy filter converts image data to structured grid
sgrid = vtk.vtkImageDataToPointSet()
sgrid.SetInputConnection(image.GetOutputPort())
sgrid.Update()

# Convert the image data to unstructured grid
extractionSphere = vtk.vtkSphere()
extractionSphere.SetRadius(100)
extractionSphere.SetCenter(0, 0, 0)

extract = vtk.vtkExtractGeometry()
extract.SetImplicitFunction(extractionSphere)
extract.SetInputConnection(image.GetOutputPort())
extract.Update()

# ======= 00
# Create a sphere tree and see what it look like