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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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 elxOptimizerBase_hxx
#define elxOptimizerBase_hxx
#include "elxOptimizerBase.h"
#include <itkDeref.h>
#include "itkSingleValuedNonLinearOptimizer.h"
#include "itk_zlib.h"
#include <cmath> // For round.
namespace elastix
{
/**
* ****************** SetCurrentPositionPublic ************************
*/
template <class TElastix>
void
OptimizerBase<TElastix>::SetCurrentPositionPublic(const ParametersType & /** param */)
{
log::error(std::ostringstream{}
<< "ERROR: This function should be overridden or just not used.\n"
<< " Are you using BSplineTransformWithDiffusion in combination with another optimizer than the "
"StandardGradientDescentOptimizer? Don't!");
/** Throw an exception if this function is not overridden. */
itkExceptionMacro("ERROR: The SetCurrentPositionPublic method is not implemented in your optimizer");
} // end SetCurrentPositionPublic()
/**
* ****************** BeforeEachResolutionBase **********************
*/
template <class TElastix>
void
OptimizerBase<TElastix>::BeforeEachResolutionBase()
{
/** Get the current resolution level. */
unsigned int level = this->GetRegistration()->GetAsITKBaseType()->GetCurrentLevel();
const Configuration & configuration = itk::Deref(Superclass::GetConfiguration());
/** Check if after every iteration a new sample set should be created. */
this->m_NewSamplesEveryIteration = false;
configuration.ReadParameter(
this->m_NewSamplesEveryIteration, "NewSamplesEveryIteration", this->GetComponentLabel(), level, 0);
} // end BeforeEachResolutionBase()
/**
* ****************** AfterRegistrationBase **********************
*/
template <class TElastix>
void
OptimizerBase<TElastix>::AfterRegistrationBase()
{
using ParametersValueType = typename ParametersType::ValueType;
/** Get the final parameters, round to six decimals. */
ParametersType finalTP = this->GetAsITKBaseType()->GetCurrentPosition();
const unsigned long N = finalTP.GetSize();
ParametersType roundedTP(N);
for (unsigned int i = 0; i < N; ++i)
{
roundedTP[i] = std::round(finalTP[i] * 1.0e6);
}
/** Compute the crc checksum using zlib crc32 function. */
const unsigned char * crcInputData = reinterpret_cast<const unsigned char *>(roundedTP.data_block());
uLong crc = crc32(0L, Z_NULL, 0);
crc = crc32(crc, crcInputData, N * sizeof(ParametersValueType));
log::info(std::ostringstream{} << "\nRegistration result checksum: " << crc);
} // end AfterRegistrationBase()
/**
* ****************** SelectNewSamples ****************************
*/
template <class TElastix>
void
OptimizerBase<TElastix>::SelectNewSamples()
{
/** Force the metric to base its computation on a new subset of image samples.
* Not every metric may have implemented this.
*/
for (unsigned int i = 0; i < this->GetElastix()->GetNumberOfMetrics(); ++i)
{
this->GetElastix()->GetElxMetricBase(i)->SelectNewSamples();
}
} // end SelectNewSamples()
/**
* ****************** GetNewSamplesEveryIteration ********************
*/
template <class TElastix>
bool
OptimizerBase<TElastix>::GetNewSamplesEveryIteration() const
{
/** itkGetConstMacro Without the itkDebugMacro. */
return this->m_NewSamplesEveryIteration;
} // end GetNewSamplesEveryIteration()
/**
* **************** PrintSettingsVector **********************
*/
template <class TElastix>
void
OptimizerBase<TElastix>::PrintSettingsVector(const SettingsVectorType & settings)
{
const unsigned long nrofres = settings.size();
std::ostringstream outputStringStream;
outputStringStream << std::showpoint << std::fixed;
/** Print to log file */
outputStringStream << "( SP_a ";
for (unsigned int i = 0; i < nrofres; ++i)
{
outputStringStream << settings[i].a << " ";
}
outputStringStream << ")\n"
<< "( SP_A ";
for (unsigned int i = 0; i < nrofres; ++i)
{
outputStringStream << settings[i].A << " ";
}
outputStringStream << ")\n"
<< "( SP_alpha ";
for (unsigned int i = 0; i < nrofres; ++i)
{
outputStringStream << settings[i].alpha << " ";
}
outputStringStream << ")\n"
<< "( SigmoidMax ";
for (unsigned int i = 0; i < nrofres; ++i)
{
outputStringStream << settings[i].fmax << " ";
}
outputStringStream << ")\n"
<< "( SigmoidMin ";
for (unsigned int i = 0; i < nrofres; ++i)
{
outputStringStream << settings[i].fmin << " ";
}
outputStringStream << ")\n"
<< "( SigmoidScale ";
for (unsigned int i = 0; i < nrofres; ++i)
{
outputStringStream << settings[i].omega << " ";
}
outputStringStream << ")\n";
log::info(outputStringStream.str());
} // end PrintSettingsVector()
/**
* ****************** SetSinusScales ********************
*/
template <class TElastix>
void
OptimizerBase<TElastix>::SetSinusScales(double amplitude, double frequency, unsigned long numberOfParameters)
{
using ScalesType = typename ITKBaseType::ScalesType;
const double nrofpar = static_cast<double>(numberOfParameters);
ScalesType scales(numberOfParameters);
for (unsigned long i = 0; i < numberOfParameters; ++i)
{
const double x = static_cast<double>(i) / nrofpar * 2.0 * vnl_math::pi * frequency;
scales[i] = std::pow(amplitude, std::sin(x));
}
this->GetAsITKBaseType()->SetScales(scales);
} // end SetSinusScales()
} // end namespace elastix
#endif // end #ifndef elxOptimizerBase_hxx
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