/usr/include/ITK-4.9/itkSimpleMultiResolutionImageRegistrationUI.h is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkSimpleMultiResolutionImageRegistrationUI_h
#define itkSimpleMultiResolutionImageRegistrationUI_h
#include "itkMultiResolutionImageRegistrationMethod.h"
#include "itkCommand.h"
#include "itkArray.h"
#include "itkGradientDescentOptimizer.h"
// The following classes are examples of simple user interface
// that controls a MultiResolutionImageRegistrationMethod process
template <typename TRegistrator>
class SimpleMultiResolutionImageRegistrationUI
{
public:
SimpleMultiResolutionImageRegistrationUI( TRegistrator * ptr ):
m_Tag(0)
{
if ( !ptr ) return;
m_Registrator = ptr;
typename itk::SimpleMemberCommand<SimpleMultiResolutionImageRegistrationUI>::Pointer
iterationCommand =
itk::SimpleMemberCommand<SimpleMultiResolutionImageRegistrationUI>::New();
iterationCommand->SetCallbackFunction( this,
&SimpleMultiResolutionImageRegistrationUI::StartNewLevel );
m_Tag = m_Registrator->AddObserver( itk::IterationEvent(), iterationCommand );
}
virtual ~SimpleMultiResolutionImageRegistrationUI()
{
if( m_Registrator ) { m_Registrator->RemoveObserver( m_Tag ); }
}
virtual void StartNewLevel()
{
std::cout << "--- Starting level " << m_Registrator->GetCurrentLevel()
<< std::endl;
}
protected:
typename TRegistrator::Pointer m_Registrator;
unsigned long m_Tag;
};
// This UI supports registration methods with gradient descent
// type optimizers.
// This UI allows the number of iterations and learning rate
// to be changes at each resolution level.
template <typename TRegistration>
class SimpleMultiResolutionImageRegistrationUI2 :
public SimpleMultiResolutionImageRegistrationUI<TRegistration>
{
public:
typedef SimpleMultiResolutionImageRegistrationUI<TRegistration>
Superclass;
SimpleMultiResolutionImageRegistrationUI2( TRegistration * ptr ) :
Superclass(ptr) {};
virtual ~SimpleMultiResolutionImageRegistrationUI2(){}
void SetNumberOfIterations( itk::Array<unsigned int> & iter )
{
m_NumberOfIterations = iter;
}
void SetLearningRates( itk::Array<double> & rates )
{
m_LearningRates = rates;
}
virtual void StartNewLevel()
{
// call the superclass's implementation
this->Superclass::StartNewLevel();
if ( !this->m_Registrator ) return;
// Try to cast the optimizer to a gradient descent type,
// return if casting didn't work.
itk::GradientDescentOptimizer::Pointer optimizer = dynamic_cast< itk::GradientDescentOptimizer * >(
this->m_Registrator->GetModifiableOptimizer() );
if ( !optimizer ) return;
unsigned int level = this->m_Registrator->GetCurrentLevel();
if ( m_NumberOfIterations.Size() >= level + 1 )
{
optimizer->SetNumberOfIterations( m_NumberOfIterations[level] );
}
if ( m_LearningRates.Size() >= level + 1 )
{
optimizer->SetLearningRate( m_LearningRates[level] );
}
std::cout << " No. Iterations: "
<< optimizer->GetNumberOfIterations()
<< " Learning rate: "
<< optimizer->GetLearningRate()
<< std::endl;
}
private:
itk::Array<unsigned int> m_NumberOfIterations;
itk::Array<double> m_LearningRates;
};
#endif
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