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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 ITK_TEMPLATE_EXPORT SimpleMultiResolutionImageRegistrationUI2
: public SimpleMultiResolutionImageRegistrationUI<TRegistration>
{
public:
using Superclass = SimpleMultiResolutionImageRegistrationUI<
itk::MultiResolutionImageRegistrationMethod<itk::Image<float, 3>, itk::Image<float, 3>>>;
SimpleMultiResolutionImageRegistrationUI2(TRegistration * ptr)
: Superclass(ptr){};
~SimpleMultiResolutionImageRegistrationUI2() override = default;
void
SetNumberOfIterations(itk::Array<unsigned int> & iter)
{
m_NumberOfIterations = iter;
}
void
SetLearningRates(itk::Array<double> & rates)
{
m_LearningRates = rates;
}
void
StartNewLevel() override
{
// 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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