ITK
6.0.0
Insight Toolkit
SphinxExamples/src/Core/Common/ObserveAnEvent/Code.py
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#!/usr/bin/env python
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# Copyright NumFOCUS
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0.txt
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import
itk
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Dimension = 2
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PixelType = itk.UC
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ImageType =
itk.Image
[PixelType, Dimension]
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source =
itk.GaussianImageSource
[ImageType].
New
()
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size =
itk.Size
[Dimension]()
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size.Fill(128)
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source.SetSize(size)
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sigma =
itk.FixedArray
[itk.D, Dimension]()
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sigma.Fill(45.0)
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source.SetSigma(sigma)
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def
myCommand():
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print(
"Progress: "
+ str(source.GetProgress()))
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source.AddObserver(itk.ProgressEvent(), myCommand)
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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:53
itk::Image
Templated n-dimensional image class.
Definition:
itkImage.h:88
New
static Pointer New()
Generated on
unknown
for ITK by
1.8.16