Python vtk.vtkPolyDataNormals() Examples
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code examples of vtk.vtkPolyDataNormals().
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Example #1
Source File: base.py From BrainSpace with BSD 3-Clause "New" or "Revised" License | 5 votes |
def load_conte69(as_sphere=False, with_normals=True, join=False): """ Load conte69 surfaces. Parameters ---------- as_sphere : bool, optional Return spheres instead of cortical surfaces. Default is False. with_normals : bool, optional Whether to compute surface normals. Default is True. join : bool, optional If False, return one surface for left and right hemispheres. Otherwise, return a single surface as a combination of both left and right surfaces. Default is False. Returns ------- surf : tuple of BSPolyData or BSPolyData Surfaces for left and right hemispheres. If ``join == True``, one surface with both hemispheres. """ root_pth = os.path.dirname(__file__) if as_sphere: fname = 'conte69_32k_{}_sphere.gii' else: fname = 'conte69_32k_{}.gii' ipth = os.path.join(root_pth, 'surfaces', fname) surfs = [None] * 2 for i, side in enumerate(['lh', 'rh']): surfs[i] = read_surface(ipth.format(side)) if with_normals: nf = wrap_vtk(vtkPolyDataNormals, splitting=False, featureAngle=0.1) surfs[i] = serial_connect(surfs[i], nf) if join: return combine_surfaces(*surfs) return surfs[0], surfs[1]
Example #2
Source File: base.py From BrainSpace with BSD 3-Clause "New" or "Revised" License | 5 votes |
def load_fsa5(with_normals=True, join=False): """ Load fsaverage5 surfaces. Parameters ---------- with_normals : bool, optional Whether to compute surface normals. Default is True. join : bool, optional If False, return one surface for left and right hemispheres. Otherwise, return a single surface as a combination of both left and right surfaces. Default is False. Returns ------- surf : tuple of BSPolyData or BSPolyData Surfaces for left and right hemispheres. If ``join == True``, one surface with both hemispheres. """ root_pth = os.path.dirname(__file__) fname = 'fsa5.pial.{}.gii' ipth = os.path.join(root_pth, 'surfaces', fname) surfs = [None] * 2 for i, side in enumerate(['lh', 'rh']): surfs[i] = read_surface(ipth.format(side)) if with_normals: nf = wrap_vtk(vtkPolyDataNormals, splitting=False, featureAngle=0.1) surfs[i] = serial_connect(surfs[i], nf) if join: return combine_surfaces(*surfs) return surfs[0], surfs[1]
Example #3
Source File: vtkUtils.py From 3d-nii-visualizer with MIT License | 5 votes |
def create_normals(smoother): """ The filter can reorder polygons to insure consistent orientation across polygon neighbors. Sharp edges can be split and points duplicated with separate normals to give crisp (rendered) surface definition. (https://www.vtk.org/doc/nightly/html/classvtkPolyDataNormals.html) :param smoother: :return: """ brain_normals = vtk.vtkPolyDataNormals() brain_normals.SetInputConnection(smoother.GetOutputPort()) brain_normals.SetFeatureAngle(60.0) # return brain_normals