File: TestEuclideanClusterExtraction2.py

package info (click to toggle)
vtk7 7.1.1%2Bdfsg1-12
  • links: PTS, VCS
  • area: main
  • in suites: buster
  • size: 125,776 kB
  • sloc: cpp: 1,539,582; ansic: 106,521; python: 78,038; tcl: 47,013; xml: 8,142; yacc: 5,040; java: 4,439; perl: 3,132; lex: 1,926; sh: 1,500; makefile: 122; objc: 83
file content (117 lines) | stat: -rwxr-xr-x 2,961 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
#!/usr/bin/env python
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()

# Parameters for debugging
NPts = 100000
math = vtk.vtkMath()
math.RandomSeed(31415)

# create pipeline
#
points = vtk.vtkBoundedPointSource()
points.SetNumberOfPoints(NPts)
points.SetBounds(-3,3, -1,1, -1,1)
points.ProduceRandomScalarsOff()
points.ProduceCellOutputOff()

# create some scalars based on implicit function
# Create a cylinder
cyl = vtk.vtkCylinder()
cyl.SetCenter(-2,0,0)
cyl.SetRadius(0.02)

# Create a (thin) box implicit function
box = vtk.vtkBox()
box.SetBounds(-1,0.5, -0.5,0.5, -0.0005, 0.0005)

# Create a sphere implicit function
sphere = vtk.vtkSphere()
sphere.SetCenter(2,0,0)
sphere.SetRadius(0.8)

# Boolean (union) these together
imp = vtk.vtkImplicitBoolean()
imp.SetOperationTypeToUnion()
imp.AddFunction(cyl)
imp.AddFunction(box)
imp.AddFunction(sphere)

# Generate scalars and vector
sample = vtk.vtkSampleImplicitFunctionFilter()
sample.SetInputConnection(points.GetOutputPort())
sample.SetImplicitFunction(imp)
sample.Update()
print(sample.GetOutput().GetScalarRange())

# Now see if we can extract the three objects as separate clusters.
extr = vtk.vtkEuclideanClusterExtraction()
extr.SetInputConnection(sample.GetOutputPort())
extr.SetRadius(0.15)
#extr.ColorClustersOn()
#extr.SetExtractionModeToAllClusters()
extr.SetExtractionModeToLargestCluster()
extr.ScalarConnectivityOn()
extr.SetScalarRange(-0.64,-.3)

# Time execution
timer = vtk.vtkTimerLog()
timer.StartTimer()
extr.Update()
timer.StopTimer()
time = timer.GetElapsedTime()
print("Points processed: {0}".format(points.GetOutput().GetNumberOfPoints()))
print("   Time to segment objects: {0}".format(time))
print("   Number of clusters: {0}".format(extr.GetNumberOfExtractedClusters()))

# Draw the points
subMapper = vtk.vtkPointGaussianMapper()
subMapper.SetInputConnection(extr.GetOutputPort(0))
#subMapper.SetInputConnection(sample.GetOutputPort(0))
subMapper.EmissiveOff()
subMapper.SetScaleFactor(0.0)
subMapper.SetScalarRange(-0.64,2.25)

subActor = vtk.vtkActor()
subActor.SetMapper(subMapper)

# Create an outline
outline = vtk.vtkOutlineFilter()
outline.SetInputConnection(sample.GetOutputPort())

outlineMapper = vtk.vtkPolyDataMapper()
outlineMapper.SetInputConnection(outline.GetOutputPort())

outlineActor = vtk.vtkActor()
outlineActor.SetMapper(outlineMapper)

# Create the RenderWindow, Renderer and both Actors
#
ren0 = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.AddRenderer(ren0)
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)

# Add the actors to the renderer, set the background and size
#
ren0.AddActor(subActor)
ren0.AddActor(outlineActor)
ren0.SetBackground(0.1, 0.2, 0.4)

renWin.SetSize(250,250)

cam = ren0.GetActiveCamera()
cam.SetFocalPoint(0,0,-1)
cam.SetPosition(0,0,0)
ren0.ResetCamera()

iren.Initialize()

# render the image
#
renWin.Render()

#iren.Start()