guatavita / PlotVTK

Simple viewer for VTK polydata(s) with scalars and vectors

PlotVTK

Table of contents

• General info
• Example
• Dependencies

General info

Features	Status
Append multiple polydata	✅
Display two separate polydata (fixed/moving)	✅
Toggle between the available scalars	✅
Toggle glyph if vectors are present	✅
Apply 10% deformation (if vectors)	✅
Show colorbar	✅
Save animation with 'a' if vectors	✅

Bastien Rigaud, PhD Laboratoire Traitement du Signal et de l'Image (LTSI), INSERM U1099 Campus de Beaulieu, Université de Rennes 1 35042 Rennes, FRANCE [e-mail]

Example

    filepath = r'C:\Data\Data_test\test_2.vtk'
    reader1 = vtk.vtkPolyDataReader()
    reader1.ReadAllScalarsOn()
    reader1.ReadAllVectorsOn()
    reader1.SetFileName(filepath)
    reader1.Update()
    polydata1 = reader1.GetOutput()

    filepath = r'C:\Data\Data_test\test.vtk'
    reader2 = vtk.vtkPolyDataReader()
    reader2.ReadAllScalarsOn()
    reader2.ReadAllVectorsOn()
    reader2.SetFileName(filepath)
    reader2.Update()
    polydata2 = reader2.GetOutput()

    transform = vtk.vtkTransform()
    transform.RotateWXYZ(10, 1, 0, 0)
    transformFilter_1 = vtk.vtkTransformPolyDataFilter()
    transformFilter_1.SetTransform(transform)
    transformFilter_1.SetInputData(polydata1)
    transformFilter_1.Update()
    polydata1_transformed = transformFilter_1.GetOutput()

    transformFilter_2 = vtk.vtkTransformPolyDataFilter()
    transformFilter_2.SetTransform(transform)
    transformFilter_2.SetInputData(polydata2)
    transformFilter_2.Update()
    polydata2_transformed = transformFilter_2.GetOutput()

    plot_vtk([polydata1, polydata2], secondary=[polydata1_transformed, polydata2_transformed])

Dependencies

pip install -r requirements.txt