root / ase / visualize / vtk / pipeline.py @ 1
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import numpy as np |
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from vtk import vtkPolyDataMapper, vtkPolyDataNormals, \ |
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vtkLinearSubdivisionFilter, vtkSmoothPolyDataFilter, \ |
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vtkDepthSortPolyData, vtkAlgorithm, vtkAlgorithmOutput |
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from ase.visualize.vtk.grid import vtkVolumeGrid |
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# -------------------------------------------------------------------
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class vtkPipeline: |
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_branchable = False
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def __init__(self, vtkish_data=None): |
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self.vtkish_data = None |
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self.closed = False |
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self.pending = False |
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self.filters = tuple() |
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if vtkish_data is not None: |
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self.set_data(vtkish_data)
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def hasdata(self): |
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return (self.vtkish_data is not None) |
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def hasfilters(self): |
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return len(self.filters)>0 |
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def set_data(self, vtkish_data): |
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assert vtkish_data is not None |
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if self.hasdata(): |
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raise RuntimeError('Pipeline already has input.') |
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elif vtkish_data in self: |
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raise ValueError('Pipeline loop detected.') |
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if isinstance(vtkish_data, vtkPipeline): |
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# The embedded pipeline takes over
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vtkish_data.signal_close() |
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self.vtkish_data = vtkish_data
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if not self.hasfilters(): |
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return
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vtkish_inner = self.filters[0] |
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if isinstance(vtkish_inner, vtkPipeline): |
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vtkish_inner.set_data(vtkish_data) #TODO does this work?
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else:
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assert isinstance(vtkish_inner, vtkAlgorithm) |
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if isinstance(vtkish_data, vtkPipeline): |
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# The embedded pipeline takes over
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vtkish_data.connect(vtkish_inner) |
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else:
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assert isinstance(vtkish_data, vtkAlgorithm) |
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vtkish_inner.SetInputConnection(vtkish_data.GetOutputPort()) |
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def isempty(self): |
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return not self.hasdata() and not self.hasfilters() |
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def isclosed(self): |
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if self.pending: |
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raise RuntimeError('Pipeline output port state is pending.') |
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return self.closed |
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def signal_close(self): |
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if self.closed: |
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raise RuntimeError('Pipeline output port is already closed.') |
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elif not self._branchable: |
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self.pending = True |
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def get_output_port(self): |
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if self.closed: |
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raise RuntimeError('Pipeline output port is closed.') |
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elif self.pending: |
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self.closed = True |
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self.pending = False |
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if self.hasfilters(): |
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vtkish_outer = self.filters[-1] |
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elif self.hasdata(): |
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vtkish_outer = self.vtkish_data
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else:
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raise RuntimeError('Pipeline output port unavailable.') |
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if isinstance(vtkish_outer, vtkPipeline): |
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return vtkish_outer.get_output_port()
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else:
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assert isinstance(vtkish_outer, vtkAlgorithm) |
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return vtkish_outer.GetOutputPort()
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def set_input_connection(self, vtk_port): |
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assert isinstance(vtk_port, vtkAlgorithmOutput) |
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vtkish_inner = self.filters[0] |
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if isinstance(vtkish_inner, vtkPipeline): |
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# Connect must be passed down
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vtkish_inner.set_input_connection(vtk_port) |
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else:
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vtkish_inner.SetInputConnection(vtk_port) |
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def connect(self, vtkish_filter): |
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if vtkish_filter in self: |
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raise ValueError('Pipeline loop detected.') |
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if isinstance(vtkish_filter, vtkPipeline): |
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# Connection must be passed down
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if not self.isempty(): |
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vtkish_filter.set_input_connection(self.get_output_port())
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# The containing pipeline takes over
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vtkish_filter.signal_close() |
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elif not self.isempty(): |
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assert isinstance(vtkish_filter, vtkAlgorithm) |
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vtkish_filter.SetInputConnection(self.get_output_port())
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def append(self, vtkish_filter): |
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self.connect(vtkish_filter)
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self.filters += (vtkish_filter,)
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def extend(self, vtkish_filters): |
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map(self.append, vtkish_filters) |
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def __contains__(self, vtkish_candidate): |
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if vtkish_candidate == self: |
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return True |
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if self.hasdata(): |
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if isinstance(self.vtkish_data, vtkPipeline): |
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if vtkish_candidate in self.vtkish_data: |
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return True |
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else:
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if vtkish_candidate == self.vtkish_data: |
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return True |
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if vtkish_candidate in self.filters: |
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return True |
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for vtkish_filter in self.filters: |
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if isinstance(vtkish_filter, vtkPipeline) \ |
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and vtkish_candidate in vtkish_filter: |
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return True |
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return False |
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def __getitem__(self, i): #TODO XXX this is a hack |
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return self.filters[i] |
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# -------------------------------------------------------------------
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class vtkPolyDataPipeline(vtkPipeline): |
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def __init__(self, vtkish_polydata=None): |
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vtkPipeline.__init__(self, vtkish_polydata)
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def connect(self, vtkish_filter): |
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if isinstance(vtkish_filter, vtkPolyDataMapper): |
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self.signal_close()
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vtkPipeline.connect(self, vtkish_filter)
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class vtkSurfaceSmootherPipeline(vtkPolyDataPipeline): |
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def __init__(self, grid, vtkish_polydata=None, angle=15): |
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vtkPolyDataPipeline.__init__(self, vtkish_polydata)
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# Make sure grid argument is correct type
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assert isinstance(grid, vtkVolumeGrid) |
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self.grid = grid
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# Split polys with intersection angles greater than angle
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vtk_dnorm = vtkPolyDataNormals() |
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vtk_dnorm.SetFeatureAngle(angle) |
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vtk_dnorm.SplittingOn() |
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vtk_dnorm.ComputeCellNormalsOff() |
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vtk_dnorm.ComputePointNormalsOff() |
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self.append(vtk_dnorm)
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relax = self.grid.get_relaxation_factor()
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if relax is not None: |
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print 'relax=',relax |
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#vtk_subdiv = vtkButterflySubdivisionFilter()
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vtk_subdiv = vtkLinearSubdivisionFilter() |
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self.append(vtk_subdiv)
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# Smooth out some of the sharp points.
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vtk_smooth = vtkSmoothPolyDataFilter() |
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vtk_smooth.SetRelaxationFactor(relax) |
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self.append(vtk_smooth)
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class vtkDepthSortPipeline(vtkPolyDataPipeline): |
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def __init__(self, vtk_renderer, vtkish_polydata=None): |
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vtkPolyDataPipeline.__init__(self, vtkish_polydata)
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# The depht sort object is set up to generate scalars representing
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# the sort depth. A camera is assigned for the sorting. The camera
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# defines the sort vector (position and focal point).
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vtk_ds = vtkDepthSortPolyData() |
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vtk_ds.SetCamera(vtk_renderer.GetActiveCamera()) |
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vtk_ds.SetDirectionToBackToFront() |
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#vtk_ds.SetVector(1, 1, 1)
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#vtk_ds.SortScalarsOn()
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#vtk_ds.Update()
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self.append(vtk_ds)
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vtk_renderer.ResetCamera() |
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