def __init__(
self,
inputobj=None,
c=('r', 'y', 'lg', 'lb', 'b'), #('b','lb','lg','y','r')
alpha=(0.5, 1),
alphaUnit=1,
mapper='tetra',
):
BaseGrid.__init__(self)
self.useArray = 0
inputtype = str(type(inputobj))
#printc('TetMesh inputtype', inputtype)
###################
if inputobj is None:
self._data = vtk.vtkUnstructuredGrid()
elif isinstance(inputobj, vtk.vtkUnstructuredGrid):
self._data = inputobj
elif isinstance(inputobj, vtk.vtkRectilinearGrid):
r2t = vtk.vtkRectilinearGridToTetrahedra()
r2t.SetInputData(inputobj)
r2t.RememberVoxelIdOn()
r2t.SetTetraPerCellTo6()
r2t.Update()
self._data = r2t.GetOutput()
elif isinstance(inputobj, vtk.vtkDataSet):
r2t = vtk.vtkDataSetTriangleFilter()
r2t.SetInputData(inputobj)
#r2t.TetrahedraOnlyOn()
r2t.Update()
self._data = r2t.GetOutput()
elif isinstance(inputobj, str):
from vedo.io import download, loadUnStructuredGrid
if "https://" in inputobj:
inputobj = download(inputobj, verbose=False)
ug = loadUnStructuredGrid(inputobj)
tt = vtk.vtkDataSetTriangleFilter()
tt.SetInputData(ug)
tt.SetTetrahedraOnly(True)
tt.Update()
self._data = tt.GetOutput()
elif utils.isSequence(inputobj):
# if "ndarray" not in inputtype:
# inputobj = np.array(inputobj)
self._data = self._buildtetugrid(inputobj[0], inputobj[1])
###################
if 'tetra' in mapper:
self._mapper = vtk.vtkProjectedTetrahedraMapper()
elif 'ray' in mapper:
self._mapper = vtk.vtkUnstructuredGridVolumeRayCastMapper()
elif 'zs' in mapper:
self._mapper = vtk.vtkUnstructuredGridVolumeZSweepMapper()
elif isinstance(mapper, vtk.vtkMapper):
self._mapper = mapper
else:
printc('Unknown mapper type', [mapper], c='r')
raise RuntimeError()
self._mapper.SetInputData(self._data)
self.SetMapper(self._mapper)
self.color(c).alpha(alpha)
if alphaUnit:
self.GetProperty().SetScalarOpacityUnitDistance(alphaUnit)
# remember stuff:
self._color = c
self._alpha = alpha
self._alphaUnit = alphaUnit
from paraview.simple import *
from paraview import smtesting
import vtk
import vtk.vtkRenderingVolume
import os
paraview.simple._DisableFirstRenderCameraReset()
# need a baseline?
saveImage = False
# check for driver support first
rw = vtk.vtkRenderWindow()
rw.SetSize(1,1)
rw.Render()
ptm = vtk.vtkProjectedTetrahedraMapper()
ok = ptm.IsSupported(rw)
print
print ('ProjectedTetrahedraMapper %s supported '%(
'is' if(ok) else 'is not'))
del ptm
del rw
if ok:
smtesting.ProcessCommandLineArguments()
smtesting.LoadServerManagerState(smtesting.StateXMLFileName)
view = GetRenderView()
view.RemoteRenderThreshold = 0;
if saveImage:
def __init__(
self,
inputobj=None,
c=('b', 'lb', 'lg', 'y', 'r'),
alpha=(0.0, 0.0, 0.2, 0.4, 0.8, 1),
alphaGradient=None,
mode=0,
origin=None,
spacing=None,
shape=None,
mapperType='smart',
):
vtk.vtkVolume.__init__(self)
ActorBase.__init__(self)
inputtype = str(type(inputobj))
#colors.printc('Volume inputtype', inputtype)
if isinstance(inputobj, str):
import glob
inputobj = sorted(glob.glob(inputobj))
if inputobj is None:
img = vtk.vtkImageData()
elif utils.isSequence(inputobj):
if isinstance(inputobj[0], str): # scan sequence of BMP files
ima = vtk.vtkImageAppend()
ima.SetAppendAxis(2)
pb = utils.ProgressBar(0, len(inputobj))
for i in pb.range():
f = inputobj[i]
picr = vtk.vtkBMPReader()
picr.SetFileName(f)
picr.Update()
mgf = vtk.vtkImageMagnitude()
mgf.SetInputData(picr.GetOutput())
mgf.Update()
ima.AddInputData(mgf.GetOutput())
pb.print('loading..')
ima.Update()
img = ima.GetOutput()
else:
if "ndarray" not in inputtype:
inputobj = np.array(inputobj)
varr = numpy_to_vtk(inputobj.ravel(order='F'),
deep=True,
array_type=vtk.VTK_FLOAT)
varr.SetName('input_scalars')
img = vtk.vtkImageData()
if shape is not None:
img.SetDimensions(shape)
else:
img.SetDimensions(inputobj.shape)
img.GetPointData().SetScalars(varr)
#to convert rgb to numpy
# img_scalar = data.GetPointData().GetScalars()
# dims = data.GetDimensions()
# n_comp = img_scalar.GetNumberOfComponents()
# temp = numpy_support.vtk_to_numpy(img_scalar)
# numpy_data = temp.reshape(dims[1],dims[0],n_comp)
# numpy_data = numpy_data.transpose(0,1,2)
# numpy_data = np.flipud(numpy_data)
elif "ImageData" in inputtype:
img = inputobj
elif "UniformGrid" in inputtype:
img = inputobj
elif "UnstructuredGrid" in inputtype:
img = inputobj
mapperType = 'tetra'
elif hasattr(
inputobj,
"GetOutput"): # passing vtk object, try extract imagdedata
if hasattr(inputobj, "Update"):
inputobj.Update()
img = inputobj.GetOutput()
else:
colors.printc("Volume(): cannot understand input type:\n",
inputtype,
c=1)
return
if 'gpu' in mapperType:
self._mapper = vtk.vtkGPUVolumeRayCastMapper()
elif 'opengl_gpu' in mapperType:
self._mapper = vtk.vtkOpenGLGPUVolumeRayCastMapper()
elif 'smart' in mapperType:
self._mapper = vtk.vtkSmartVolumeMapper()
elif 'fixed' in mapperType:
self._mapper = vtk.vtkFixedPointVolumeRayCastMapper()
elif 'tetra' in mapperType:
self._mapper = vtk.vtkProjectedTetrahedraMapper()
elif 'unstr' in mapperType:
self._mapper = vtk.vtkUnstructuredGridVolumeRayCastMapper()
else:
print("Error unknown mapperType", mapperType)
raise RuntimeError()
if origin is not None:
img.SetOrigin(origin)
if spacing is not None:
img.SetSpacing(spacing)
if shape is not None:
img.SetDimensions(shape)
self._imagedata = img
self._mapper.SetInputData(img)
self.SetMapper(self._mapper)
self.mode(mode).color(c).alpha(alpha).alphaGradient(alphaGradient)
self.GetProperty().SetInterpolationType(1)
# remember stuff:
self._mode = mode
self._color = c
self._alpha = alpha
self._alphaGrad = alphaGradient
from paraview.simple import *
from paraview import smtesting
import vtk
import vtk.vtkRenderingVolume
import os
paraview.simple._DisableFirstRenderCameraReset()
# need a baseline?
saveImage = False
# check for driver support first
rw = vtk.vtkRenderWindow()
rw.SetSize(1, 1)
rw.Render()
ptm = vtk.vtkProjectedTetrahedraMapper()
ok = ptm.IsSupported(rw)
print
print 'ProjectedTetrahedraMapper %s supported ' % ('is' if (ok) else 'is not')
del ptm
del rw
if ok:
smtesting.ProcessCommandLineArguments()
smtesting.LoadServerManagerState(smtesting.StateXMLFileName)
view = GetRenderView()
view.RemoteRenderThreshold = 0
if saveImage:
SetActiveView(view)
def __init__(
self,
inputobj,
c=('b', 'lb', 'lg', 'y', 'r'),
alpha=(0.0, 0.0, 0.2, 0.4, 0.8, 1),
alphaGradient=None,
mode=0,
origin=None,
spacing=None,
shape=None,
mapperType='gpu',
):
vtk.vtkVolume.__init__(self)
ActorBase.__init__(self)
inputtype = str(type(inputobj))
#colors.printc('Volume inputtype', inputtype)
if inputobj is None:
img = vtk.vtkImageData()
elif utils.isSequence(inputobj):
if "ndarray" not in inputtype:
inputobj = np.array(inputobj)
varr = numpy_to_vtk(inputobj.ravel(order='F'),
deep=True,
array_type=vtk.VTK_FLOAT)
varr.SetName('input_scalars')
img = vtk.vtkImageData()
if shape is not None:
img.SetDimensions(shape)
else:
img.SetDimensions(inputobj.shape)
img.GetPointData().SetScalars(varr)
#to convert rgb to numpy
# img_scalar = data.GetPointData().GetScalars()
# dims = data.GetDimensions()
# n_comp = img_scalar.GetNumberOfComponents()
# temp = numpy_support.vtk_to_numpy(img_scalar)
# numpy_data = temp.reshape(dims[1],dims[0],n_comp)
# numpy_data = numpy_data.transpose(0,1,2)
# numpy_data = np.flipud(numpy_data)
elif "ImageData" in inputtype:
img = inputobj
elif "UniformGrid" in inputtype:
img = inputobj
elif "UnstructuredGrid" in inputtype:
img = inputobj
mapperType = 'tetra'
elif hasattr(
inputobj,
"GetOutput"): # passing vtk object, try extract imagdedata
if hasattr(inputobj, "Update"):
inputobj.Update()
img = inputobj.GetOutput()
else:
colors.printc("Volume(): cannot understand input type:\n",
inputtype,
c=1)
return
if 'gpu' in mapperType:
self._mapper = vtk.vtkGPUVolumeRayCastMapper()
elif 'opengl_gpu' in mapperType:
self._mapper = vtk.vtkOpenGLGPUVolumeRayCastMapper()
elif 'smart' in mapperType:
self._mapper = vtk.vtkSmartVolumeMapper()
elif 'fixed' in mapperType:
self._mapper = vtk.vtkFixedPointVolumeRayCastMapper()
elif 'tetra' in mapperType:
self._mapper = vtk.vtkProjectedTetrahedraMapper()
elif 'unstr' in mapperType:
self._mapper = vtk.vtkUnstructuredGridVolumeRayCastMapper()
if origin is not None:
img.SetOrigin(origin)
if spacing is not None:
img.SetSpacing(spacing)
if shape is not None:
img.SetDimensions(shape)
self._imagedata = img
self._mapper.SetInputData(img)
self.SetMapper(self._mapper)
self.mode(mode).color(c).alpha(alpha).alphaGradient(alphaGradient)
# remember stuff:
self._mode = mode
self._color = c
self._alpha = alpha
self._alphaGrad = alphaGradient
def __init__(
self,
inputobj=None,
c=('r', 'y', 'lg', 'lb', 'b'), #('b','lb','lg','y','r')
alpha=(0.5, 1),
alphaUnit=1,
mapper='tetra',
):
vtk.vtkVolume.__init__(self)
ActorBase.__init__(self)
self._ugrid = None
self.useCells = True
self.useArray = 0
inputtype = str(type(inputobj))
#printc('TetMesh inputtype', inputtype)
###################
if inputobj is None:
self._ugrid = vtk.vtkUnstructuredGrid()
elif isinstance(inputobj, vtk.vtkUnstructuredGrid):
self._ugrid = inputobj
elif isinstance(inputobj, vtk.vtkRectilinearGrid):
r2t = vtk.vtkRectilinearGridToTetrahedra()
r2t.SetInputData(inputobj)
r2t.RememberVoxelIdOn()
r2t.SetTetraPerCellTo6()
r2t.Update()
self._ugrid = r2t.GetOutput()
elif isinstance(inputobj, vtk.vtkDataSet):
r2t = vtk.vtkDataSetTriangleFilter()
r2t.SetInputData(inputobj)
#r2t.TetrahedraOnlyOn()
r2t.Update()
self._ugrid = r2t.GetOutput()
elif isinstance(inputobj, str):
from vtkplotter.vtkio import loadUnStructuredGrid
self._ugrid = loadUnStructuredGrid(inputobj)
elif utils.isSequence(inputobj):
if "ndarray" not in inputtype:
inputobj = np.array(inputobj)
self._ugrid = self._buildugrid(inputobj[0], inputobj[1])
###################
if 'tetra' in mapper:
self._mapper = vtk.vtkProjectedTetrahedraMapper()
elif 'ray' in mapper:
self._mapper = vtk.vtkUnstructuredGridVolumeRayCastMapper()
elif 'zs' in mapper:
self._mapper = vtk.vtkUnstructuredGridVolumeZSweepMapper()
elif isinstance(mapper, vtk.vtkMapper):
self._mapper = mapper
else:
printc('Unknown mapper type', [mapper], c=1)
return
self._mapper.SetInputData(self._ugrid)
self.SetMapper(self._mapper)
self.color(c).alpha(alpha)
if alphaUnit:
self.GetProperty().SetScalarOpacityUnitDistance(alphaUnit)
# remember stuff:
self._color = c
self._alpha = alpha
self._alphaUnit = alphaUnit
