ITK  5.2.0
Insight Toolkit
SphinxExamples/src/Core/Common/ObserveAnEvent/Code.py
1 #!/usr/bin/env python
2 
3 # Copyright NumFOCUS
4 #
5 # Licensed under the Apache License, Version 2.0 (the "License");
6 # you may not use this file except in compliance with the License.
7 # You may obtain a copy of the License at
8 #
9 # http://www.apache.org/licenses/LICENSE-2.0.txt
10 #
11 # Unless required by applicable law or agreed to in writing, software
12 # distributed under the License is distributed on an "AS IS" BASIS,
13 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 # See the License for the specific language governing permissions and
15 # limitations under the License.
16 
17 import itk
18 
19 Dimension = 2
20 PixelType = itk.UC
21 ImageType = itk.Image[PixelType, Dimension]
22 
23 source = itk.GaussianImageSource[ImageType].New()
24 size = itk.Size[Dimension]()
25 size.Fill(128)
26 source.SetSize(size)
27 
28 sigma = itk.FixedArray[itk.D, Dimension]()
29 sigma.Fill(45.0)
30 source.SetSigma(sigma)
31 
32 
33 def myCommand():
34  print('Progress: ' + str(source.GetProgress()))
35 
36 source.AddObserver(itk.ProgressEvent(), myCommand)
37 
38 source.Update()
itk::Size
Represent a n-dimensional size (bounds) of a n-dimensional image.
Definition: itkSize.h:69
itk::GaussianImageSource
Generate an n-dimensional image of a Gaussian.
Definition: itkGaussianImageSource.h:45
itk::FixedArray
Simulate a standard C array with copy semantics.
Definition: itkFixedArray.h:52
itk::Image
Templated n-dimensional image class.
Definition: itkImage.h:86