vtkutils¶

Module author: Adam Gagorik <adam.gagorik@gmail.com>

vtkutils.create_image_data(nx, ny, nz, dx=1.0, dy=1.0, dz=1.0, ox=0, oy=0, oz=0)[source]¶

Construct an empty vtkImageData. This data structure is a regular grid with constant spacing.

Parameters:	nx (int) – number of grid points along x-axis ny (int) – number of grid points along y-axis nz (int) – number of grid points along z-axis dx (float) – spacing along x-axis dy (float) – spacing along y-axis dz (float) – spacing along z-axis ox (float) – origin of x-axis oy (float) – origin of y-axis oz (float) – origin of z-axis

>>> image_data = create_image_data(32, 32, 32)

vtkutils.create_image_data_from_array(array, *args, **kwargs)[source]¶

Construct an empty vtkImageData and fill it with the array’s values.

Parameters:	array (numpy.ndarray) – data with 3 dimensions.

>>> image_data = create_image_data_from_array(surf)

See also

create_image_data()

vtkutils.save_image_data(handle, image_data)[source]¶

Save vtkImageData to XML file.

Parameters:	handle (str) – file name image_data (vtk.vtkImageData) – source

>>> image_data = create_image_data(32, 32, 32)
>>> save_image_data('test.vit', image_data)

vtkutils.load_image_data(handle)[source]¶

Load vtkImageData from XML file.

Parameters:	handle (str) – file name

vtkutils.pipe(i, o)[source]¶

Pipes one vtkObject into another.

Parameters:	i (vtk.vtkObject) – input o (vtk.vtkObject) – filter

>>> vtkImageData = create_image_data(32, 32, 32)
>>> vtkMarchingCubes = vtk.vtkMarchingCubes()
>>> pipe(vtkImageData, vtkMarchingCubes)

vtkutils.filter_marching_cubes(vtkObject, isovalue=1e-05)[source]¶

Create vtkMarchingCubes filter on vtkObject.

Parameters:	vtkObject (vtk.vtkObject) – input isovalue (float) – contour value

>>> image_data = create_image_data_from_array(surf)
>>> cubes = filter_marching_cubes(image_data)
>>> show(cubes)

vtkutils.filter_marching_squares(vtkObject, isovalue=1e-05)[source]¶

Create vtkMarchingSquares filter on vtkObject.

Parameters:	vtkObject – input isovalue (float) – contour value vtkObject – vtk.vtkObject

>>> image_data = create_image_data_from_array(surf)
>>> squares = filter_marching_cubes(image_data)
>>> show(squares)

vtkutils.filter_marching(vtkObject, isovalue=1e-05)[source]¶

Applies marching cubes or squares based on number of dimensions.

Parameters:	vtkObject (vtk.vtkObject) – input isovalue (float) – contour value

See also

filter_marching_squares(), filter_marching_cubes()

vtkutils.filter_curvature(vtkObject, mode='gaussian')[source]¶

Create vtkCurvatures filter on vtkObject.

Parameters:	vtkObject (vtk.vtkObject) – input mode (str) – gaussian or mean

>>> image_data = create_image_data_from_array(surf)
>>> cubes = filter_marching_cubes(image_data)
>>> curve = filter_curvature(cubes)
>>> show(curve)

vtkutils.show(vtkObject, w=512, h=512)[source]¶

Show result of pipeline.

Parameters:	vtkObject (None) – anything VTK w (int) – window width h (int) – window height

>>> image_data = create_image_data_from_array(surf)
>>> cubes = filter_marching_cubes(image_data)
>>> show(cubes)