ComplexV
VTKExamples/Python/Visualization/ComplexV
Description¶
ComplexV from the VTK Textbook. The original example was written in TCL.
The example shows 167,000 3D vectors (using oriented and scaled lines) in the region of the human carotid artery. The larger vectors lie inside the arteries, the smaller vectors lie outside the arteries and are randomly oriented (measurement error) but small in magnitude. Clearly the details of the vector field are not discernible from this image.
Other Languages
See (Cxx)
Code¶
ComplexV.py
#!/usr/bin/env python import vtk def main(): fileName = get_program_parameters() colors = vtk.vtkNamedColors() reader = vtk.vtkStructuredPointsReader() reader.SetFileName(fileName) hhog = vtk.vtkHedgeHog() hhog.SetInputConnection(reader.GetOutputPort()) hhog.SetScaleFactor(0.3) lut = vtk.vtkLookupTable() # lut.SetHueRange(.667, 0.0) lut.Build() hhogMapper = vtk.vtkPolyDataMapper() hhogMapper.SetInputConnection(hhog.GetOutputPort()) hhogMapper.SetScalarRange(50, 550) hhogMapper.SetLookupTable(lut) hhogActor = vtk.vtkActor() hhogActor.SetMapper(hhogMapper) outline = vtk.vtkOutlineFilter() outline.SetInputConnection(reader.GetOutputPort()) outlineMapper = vtk.vtkPolyDataMapper() outlineMapper.SetInputConnection(outline.GetOutputPort()) outlineActor = vtk.vtkActor() outlineActor.SetMapper(outlineMapper) outlineActor.GetProperty().SetColor(0, 0, 0) aRenderer = vtk.vtkRenderer() aRenderWindow = vtk.vtkRenderWindow() aRenderWindow.AddRenderer(aRenderer) anInteractor = vtk.vtkRenderWindowInteractor() anInteractor.SetRenderWindow(aRenderWindow) aRenderWindow.SetSize(640, 480) aRenderer.AddActor(outlineActor) aRenderer.AddActor(hhogActor) aRenderer.SetBackground(colors.GetColor3d("Gray")) # Generate an interesting view. aRenderer.GetActiveCamera().SetFocalPoint(0, 0, 0) aRenderer.GetActiveCamera().SetPosition(1, 0, 0) aRenderer.GetActiveCamera().SetViewUp(0, 0, 1) aRenderer.ResetCamera() aRenderer.GetActiveCamera().Azimuth(60) aRenderer.GetActiveCamera().Elevation(30) aRenderer.GetActiveCamera().Dolly(1.1) aRenderer.ResetCameraClippingRange() aRenderWindow.Render() # Interact with the data. anInteractor.Start() def get_program_parameters(): import argparse description = 'Vector visualization techniques.' epilogue = ''' ''' parser = argparse.ArgumentParser(description=description, epilog=epilogue, formatter_class=argparse.RawDescriptionHelpFormatter) parser.add_argument('filename', help='carotid.vtk.') args = parser.parse_args() return args.filename if __name__ == '__main__': main()