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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.
*
*=========================================================================*/
#include "itkTestHelper.h"
// GPU include files
#include "itkGPUResampleImageFilter.h"
// GPU copiers
#include "itkGPUTransformCopier.h"
#include "itkGPUAdvancedCombinationTransformCopier.h"
#include "itkGPUInterpolatorCopier.h"
// GPU factory includes
#include "itkGPUImageFactory.h"
#include "itkGPUResampleImageFilterFactory.h"
#include "itkGPUCastImageFilterFactory.h"
#include "itkGPUAffineTransformFactory.h"
#include "itkGPUTranslationTransformFactory.h"
#include "itkGPUBSplineTransformFactory.h"
#include "itkGPUEuler3DTransformFactory.h"
#include "itkGPUSimilarity3DTransformFactory.h"
#include "itkGPUNearestNeighborInterpolateImageFunctionFactory.h"
#include "itkGPULinearInterpolateImageFunctionFactory.h"
#include "itkGPUBSplineInterpolateImageFunctionFactory.h"
#include "itkGPUBSplineDecompositionImageFilterFactory.h"
// elastix GPU factory includes
#include "itkGPUAdvancedCombinationTransformFactory.h"
#include "itkGPUAdvancedMatrixOffsetTransformBaseFactory.h"
#include "itkGPUAdvancedTranslationTransformFactory.h"
#include "itkGPUAdvancedBSplineDeformableTransformFactory.h"
#include "itkGPUAdvancedSimilarity3DTransformFactory.h"
// ITK include files
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkImageRegionConstIterator.h"
#include "itkMersenneTwisterRandomVariateGenerator.h"
#include "itkOutputWindow.h"
#include "itkTimeProbe.h"
// elastix include files
#include "itkCommandLineArgumentParser.h"
// Other include files
#include <iomanip> // setprecision, etc.
#include <sstream>
//------------------------------------------------------------------------------
// GetHelpString
std::string
GetHelpString( void )
{
std::stringstream ss;
ss << "Usage:" << std::endl
<< "itkGPUResampleImageFilterTest" << std::endl
<< " -in input file name\n"
<< " -out output file names.(outputCPU outputGPU)\n"
<< " -rmse acceptable rmse error\n"
<< " [-i] interpolator, one of {NearestNeighbor, Linear, BSpline}, default NearestNeighbor\n"
<< " [-t] transforms, one of {Affine, Translation, BSpline, Euler, Similarity}"
<< " or combinations with option \"-c\", default Affine\n"
<< " [-c] use combo transform, default false\n"
<< " [-p] parameter file for the B-spline transform\n"
<< " [-threads] number of threads, default maximum\n";
return ss.str();
} // end GetHelpString()
//------------------------------------------------------------------------------
template< typename TransformType, typename CompositeTransformType >
void
PrintTransform( typename TransformType::Pointer & transform )
{
std::cout << "Transform type: " << transform->GetNameOfClass();
const CompositeTransformType * compositeTransform
= dynamic_cast< const CompositeTransformType * >( transform.GetPointer() );
if( compositeTransform )
{
std::cout << " [";
for( std::size_t i = 0; i < compositeTransform->GetNumberOfTransforms(); i++ )
{
std::cout << compositeTransform->GetNthTransform( i )->GetNameOfClass();
if( i != compositeTransform->GetNumberOfTransforms() - 1 )
{
std::cout << ", ";
}
}
std::cout << "]" << std::endl;
}
else
{
std::cout << std::endl;
}
}
//------------------------------------------------------------------------------
template< typename InputImageType >
typename InputImageType::PointType
ComputeCenterOfTheImage( const typename InputImageType::ConstPointer & image )
{
const unsigned int Dimension = image->GetImageDimension();
const typename InputImageType::SizeType size = image->GetLargestPossibleRegion().GetSize();
const typename InputImageType::IndexType index = image->GetLargestPossibleRegion().GetIndex();
typedef itk::ContinuousIndex< double, InputImageType::ImageDimension > ContinuousIndexType;
ContinuousIndexType centerAsContInd;
for( std::size_t i = 0; i < Dimension; i++ )
{
centerAsContInd[ i ]
= static_cast< double >( index[ i ] )
+ static_cast< double >( size[ i ] - 1 ) / 2.0;
}
typename InputImageType::PointType center;
image->TransformContinuousIndexToPhysicalPoint( centerAsContInd, center );
return center;
}
//------------------------------------------------------------------------------
template< typename InterpolatorType >
void
DefineInterpolator( typename InterpolatorType::Pointer & interpolator,
const std::string & interpolatorName,
const unsigned int splineOrderInterpolator )
{
// Interpolator typedefs
typedef typename InterpolatorType::InputImageType InputImageType;
typedef typename InterpolatorType::CoordRepType CoordRepType;
typedef CoordRepType CoefficientType;
// Typedefs for all interpolators
typedef itk::NearestNeighborInterpolateImageFunction<
InputImageType, CoordRepType > NearestNeighborInterpolatorType;
typedef itk::LinearInterpolateImageFunction<
InputImageType, CoordRepType > LinearInterpolatorType;
typedef itk::BSplineInterpolateImageFunction<
InputImageType, CoordRepType, CoefficientType > BSplineInterpolatorType;
if( interpolatorName == "NearestNeighbor" )
{
typename NearestNeighborInterpolatorType::Pointer tmpInterpolator
= NearestNeighborInterpolatorType::New();
interpolator = tmpInterpolator;
}
else if( interpolatorName == "Linear" )
{
typename LinearInterpolatorType::Pointer tmpInterpolator
= LinearInterpolatorType::New();
interpolator = tmpInterpolator;
}
else if( interpolatorName == "BSpline" )
{
typename BSplineInterpolatorType::Pointer tmpInterpolator
= BSplineInterpolatorType::New();
tmpInterpolator->SetSplineOrder( splineOrderInterpolator );
interpolator = tmpInterpolator;
}
}
//------------------------------------------------------------------------------
template< typename AffineTransformType >
void
DefineAffineParameters( typename AffineTransformType::ParametersType & parameters )
{
const unsigned int Dimension = AffineTransformType::InputSpaceDimension;
// Setup parameters
parameters.SetSize( Dimension * Dimension + Dimension );
unsigned int par = 0;
if( Dimension == 2 )
{
const double matrix[] =
{
0.9, 0.1, // matrix part
0.2, 1.1, // matrix part
0.0, 0.0, // translation
};
for( std::size_t i = 0; i < 6; i++ )
{
parameters[ par++ ] = matrix[ i ];
}
}
else if( Dimension == 3 )
{
const double matrix[] =
{
1.0, -0.045, 0.02, // matrix part
0.0, 1.0, 0.0, // matrix part
-0.075, 0.09, 1.0, // matrix part
-3.02, 1.3, -0.045 // translation
};
for( std::size_t i = 0; i < 12; i++ )
{
parameters[ par++ ] = matrix[ i ];
}
}
}
//------------------------------------------------------------------------------
template< typename TranslationTransformType >
void
DefineTranslationParameters( const std::size_t transformIndex,
typename TranslationTransformType::ParametersType & parameters )
{
const std::size_t Dimension = TranslationTransformType::SpaceDimension;
// Setup parameters
parameters.SetSize( Dimension );
for( std::size_t i = 0; i < Dimension; i++ )
{
parameters[ i ] = (double)i * (double)transformIndex + (double)transformIndex;
}
}
//------------------------------------------------------------------------------
template< typename BSplineTransformType >
void
DefineBSplineParameters( const std::size_t transformIndex,
typename BSplineTransformType::ParametersType & parameters,
const typename BSplineTransformType::Pointer & transform,
const std::string & parametersFileName )
{
const unsigned int numberOfParameters = transform->GetNumberOfParameters();
const unsigned int Dimension = BSplineTransformType::SpaceDimension;
const unsigned int numberOfNodes = numberOfParameters / Dimension;
parameters.SetSize( numberOfParameters );
// Open file and read parameters
std::ifstream infile;
infile.open( parametersFileName.c_str() );
// Skip number of elements to make unique coefficients per each transformIndex
for( std::size_t n = 0; n < transformIndex; n++ )
{
double parValue;
infile >> parValue;
}
// Read it
for( std::size_t n = 0; n < numberOfNodes * Dimension; n++ )
{
double parValue;
infile >> parValue;
parameters[ n ] = parValue;
}
infile.close();
}
//------------------------------------------------------------------------------
template< typename EulerTransformType >
void
DefineEulerParameters( const std::size_t transformIndex,
typename EulerTransformType::ParametersType & parameters )
{
const std::size_t Dimension = EulerTransformType::InputSpaceDimension;
// Setup parameters
// 2D: angle 1, translation 2
// 3D: 6 angle, translation 3
parameters.SetSize( EulerTransformType::ParametersDimension );
// Angle
const double angle = (double)transformIndex * -0.05;
std::size_t par = 0;
if( Dimension == 2 )
{
// See implementation of Rigid2DTransform::SetParameters()
parameters[ 0 ] = angle;
++par;
}
else if( Dimension == 3 )
{
// See implementation of Rigid3DTransform::SetParameters()
for( std::size_t i = 0; i < 3; i++ )
{
parameters[ par ] = angle;
++par;
}
}
for( std::size_t i = 0; i < Dimension; i++ )
{
parameters[ i + par ] = (double)i * (double)transformIndex + (double)transformIndex;
}
}
//------------------------------------------------------------------------------
template< typename SimilarityTransformType >
void
DefineSimilarityParameters( const std::size_t transformIndex,
typename SimilarityTransformType::ParametersType & parameters )
{
const std::size_t Dimension = SimilarityTransformType::InputSpaceDimension;
// Setup parameters
// 2D: 2 translation, angle 1, scale 1
// 3D: 3 translation, angle 3, scale 1
parameters.SetSize( SimilarityTransformType::ParametersDimension );
// Scale, Angle
const double scale = ( (double)transformIndex + 1.0 ) * 0.05 + 1.0;
const double angle = (double)transformIndex * -0.06;
if( Dimension == 2 )
{
// See implementation of Similarity2DTransform::SetParameters()
parameters[ 0 ] = scale;
parameters[ 1 ] = angle;
}
else if( Dimension == 3 )
{
// See implementation of Similarity3DTransform::SetParameters()
for( std::size_t i = 0; i < Dimension; i++ )
{
parameters[ i ] = angle;
}
parameters[ 6 ] = scale;
}
// Translation
for( std::size_t i = 0; i < Dimension; i++ )
{
parameters[ i + Dimension ] = -1.0 * ( (double)i * (double)transformIndex + (double)transformIndex );
}
}
//------------------------------------------------------------------------------
// This helper function completely set the transform
// We are using ITK elastix transforms:
// ITK transforms:
// TransformType, AffineTransformType, TranslationTransformType,
// BSplineTransformType, EulerTransformType, SimilarityTransformType
// elastix Transforms:
// AdvancedCombinationTransformType, AdvancedAffineTransformType,
// AdvancedTranslationTransformType, AdvancedBSplineTransformType,
// AdvancedEulerTransformType, AdvancedSimilarityTransformType
template< typename TransformType, typename AffineTransformType,
typename TranslationTransformType, typename BSplineTransformType,
typename EulerTransformType, typename SimilarityTransformType,
typename AdvancedCombinationTransformType, typename AdvancedAffineTransformType,
typename AdvancedTranslationTransformType, typename AdvancedBSplineTransformType,
typename AdvancedEulerTransformType, typename AdvancedSimilarityTransformType,
typename InputImageType >
void
SetTransform( const std::size_t transformIndex,
const std::string & transformName,
typename TransformType::Pointer & transform,
typename AdvancedCombinationTransformType::Pointer & advancedTransform,
const typename InputImageType::ConstPointer & image,
std::vector< typename BSplineTransformType::ParametersType > & bsplineParameters,
const std::string & parametersFileName )
{
if( transformName == "Affine" )
{
if( advancedTransform.IsNull() )
{
// Create Affine transform
typename AffineTransformType::Pointer affineTransform
= AffineTransformType::New();
// Define and set affine parameters
typename AffineTransformType::ParametersType parameters;
DefineAffineParameters< AffineTransformType >( parameters );
affineTransform->SetParameters( parameters );
transform = affineTransform;
}
else
{
// Create Advanced Affine transform
typename AdvancedAffineTransformType::Pointer affineTransform
= AdvancedAffineTransformType::New();
advancedTransform->SetCurrentTransform( affineTransform );
// Define and set advanced affine parameters
typename AdvancedAffineTransformType::ParametersType parameters;
DefineAffineParameters< AdvancedAffineTransformType >( parameters );
affineTransform->SetParameters( parameters );
}
}
else if( transformName == "Translation" )
{
if( advancedTransform.IsNull() )
{
// Create Translation transform
typename TranslationTransformType::Pointer translationTransform
= TranslationTransformType::New();
// Define and set translation parameters
typename TranslationTransformType::ParametersType parameters;
DefineTranslationParameters< TranslationTransformType >
( transformIndex, parameters );
translationTransform->SetParameters( parameters );
transform = translationTransform;
}
else
{
// Create Advanced Translation transform
typename AdvancedTranslationTransformType::Pointer translationTransform
= AdvancedTranslationTransformType::New();
advancedTransform->SetCurrentTransform( translationTransform );
// Define and set advanced translation parameters
typename AdvancedTranslationTransformType::ParametersType parameters;
DefineTranslationParameters< AdvancedTranslationTransformType >
( transformIndex, parameters );
translationTransform->SetParameters( parameters );
}
}
else if( transformName == "BSpline" )
{
const unsigned int Dimension = image->GetImageDimension();
const typename InputImageType::SpacingType inputSpacing = image->GetSpacing();
const typename InputImageType::PointType inputOrigin = image->GetOrigin();
const typename InputImageType::DirectionType inputDirection = image->GetDirection();
const typename InputImageType::RegionType inputRegion = image->GetBufferedRegion();
const typename InputImageType::SizeType inputSize = inputRegion.GetSize();
typedef typename BSplineTransformType::MeshSizeType MeshSizeType;
MeshSizeType gridSize;
gridSize.Fill( 4 );
typedef typename BSplineTransformType::PhysicalDimensionsType PhysicalDimensionsType;
PhysicalDimensionsType gridSpacing;
for( unsigned int d = 0; d < Dimension; d++ )
{
gridSpacing[ d ] = inputSpacing[ d ] * ( inputSize[ d ] - 1.0 );
}
if( advancedTransform.IsNull() )
{
// Create BSpline transform
typename BSplineTransformType::Pointer bsplineTransform
= BSplineTransformType::New();
// Set grid properties
bsplineTransform->SetTransformDomainOrigin( inputOrigin );
bsplineTransform->SetTransformDomainDirection( inputDirection );
bsplineTransform->SetTransformDomainPhysicalDimensions( gridSpacing );
bsplineTransform->SetTransformDomainMeshSize( gridSize );
// Define and set b-spline parameters
typename BSplineTransformType::ParametersType parameters;
DefineBSplineParameters< BSplineTransformType >
( transformIndex, parameters, bsplineTransform, parametersFileName );
// Keep them in memory first by copying to the bsplineParameters
bsplineParameters.push_back( parameters );
const std::size_t indexAt = bsplineParameters.size() - 1;
// Do not set parameters, the will be destroyed going out of scope
// instead, set the ones from the bsplineParameters array
bsplineTransform->SetParameters( bsplineParameters[ indexAt ] );
transform = bsplineTransform;
}
else
{
// Create Advanced BSpline transform
typename AdvancedBSplineTransformType::Pointer bsplineTransform
= AdvancedBSplineTransformType::New();
advancedTransform->SetCurrentTransform( bsplineTransform );
// Set grid properties
bsplineTransform->SetGridOrigin( inputOrigin );
bsplineTransform->SetGridDirection( inputDirection );
bsplineTransform->SetGridSpacing( gridSpacing );
bsplineTransform->SetGridRegion( gridSize );
// Define and set b-spline parameters
typename AdvancedBSplineTransformType::ParametersType parameters;
DefineBSplineParameters< AdvancedBSplineTransformType >
( transformIndex, parameters, bsplineTransform, parametersFileName );
// Keep them in memory first by copying to the bsplineParameters
bsplineParameters.push_back( parameters );
const std::size_t indexAt = bsplineParameters.size() - 1;
// Do not set parameters, the will be destroyed going out of scope
// instead, set the ones from the bsplineParameters array
bsplineTransform->SetParameters( bsplineParameters[ indexAt ] );
}
}
else if( transformName == "Euler" )
{
// Compute center
const typename InputImageType::PointType center
= ComputeCenterOfTheImage< InputImageType >( image );
if( advancedTransform.IsNull() )
{
// Create Euler transform
typename EulerTransformType::Pointer eulerTransform
= EulerTransformType::New();
// Set center
eulerTransform->SetCenter( center );
// Define and set euler parameters
typename EulerTransformType::ParametersType parameters;
DefineEulerParameters< EulerTransformType >
( transformIndex, parameters );
eulerTransform->SetParameters( parameters );
transform = eulerTransform;
}
else
{
// Create Advanced Euler transform
typename AdvancedEulerTransformType::Pointer eulerTransform
= AdvancedEulerTransformType::New();
advancedTransform->SetCurrentTransform( eulerTransform );
// Set center
eulerTransform->SetCenter( center );
// Define and set advanced euler parameters
typename AdvancedEulerTransformType::ParametersType parameters;
DefineEulerParameters< AdvancedEulerTransformType >
( transformIndex, parameters );
eulerTransform->SetParameters( parameters );
}
}
else if( transformName == "Similarity" )
{
// Compute center
const typename InputImageType::PointType center
= ComputeCenterOfTheImage< InputImageType >( image );
if( advancedTransform.IsNull() )
{
// Create Similarity transform
typename SimilarityTransformType::Pointer similarityTransform
= SimilarityTransformType::New();
// Set center
similarityTransform->SetCenter( center );
// Define and set similarity parameters
typename SimilarityTransformType::ParametersType parameters;
DefineSimilarityParameters< SimilarityTransformType >
( transformIndex, parameters );
similarityTransform->SetParameters( parameters );
transform = similarityTransform;
}
else
{
// Create Advanced Similarity transform
typename AdvancedSimilarityTransformType::Pointer similarityTransform
= AdvancedSimilarityTransformType::New();
advancedTransform->SetCurrentTransform( similarityTransform );
// Set center
similarityTransform->SetCenter( center );
// Define and set advanced similarity parameters
typename AdvancedSimilarityTransformType::ParametersType parameters;
DefineSimilarityParameters< AdvancedSimilarityTransformType >
( transformIndex, parameters );
similarityTransform->SetParameters( parameters );
}
}
}
//------------------------------------------------------------------------------
// This test compares the CPU with the GPU version of the ResampleImageFilter.
// The filter takes an input image and produces an output image.
// We compare the CPU and GPU output image using RMSE and speed.
//
// The following ITK interpolations are supported:
// itk::NearestNeighborInterpolateImageFunction
// itk::LinearInterpolateImageFunction
// itk::BSplineInterpolateImageFunction
//
// The following ITK transforms are supported:
// itk::CompositeTransform
// itk::AffineTransform
// itk::TranslationTransform
// itk::BSplineTransform
// itk::Euler3DTransform
// itk::Similarity3DTransform
//
// The following elastix transforms are supported:
// itk::AdvancedCombinationTransform
// itk::AdvancedMatrixOffsetTransformBase
// itk::AdvancedTranslationTransform
// itk::AdvancedBSplineDeformableTransform
// itk::AdvancedEuler3DTransform
// itk::AdvancedSimilarity3DTransform
//
int
main( int argc, char * argv[] )
{
// Setup for debugging
itk::SetupForDebugging();
// Create and check OpenCL context
if( !itk::CreateContext() )
{
return EXIT_FAILURE;
}
// Check for the device 'double' support
itk::OpenCLContext::Pointer context = itk::OpenCLContext::GetInstance();
if( !context->GetDefaultDevice().HasDouble() )
{
std::cerr << "Your OpenCL device: " << context->GetDefaultDevice().GetName()
<< ", does not support 'double' computations. Consider updating it." << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// Create a command line argument parser
itk::CommandLineArgumentParser::Pointer parser = itk::CommandLineArgumentParser::New();
parser->SetCommandLineArguments( argc, argv );
parser->SetProgramHelpText( GetHelpString() );
parser->MarkArgumentAsRequired( "-in", "The input filename" );
parser->MarkArgumentAsRequired( "-out", "The output filenames" );
parser->MarkArgumentAsRequired( "-rmse", "The acceptable rmse error" );
itk::CommandLineArgumentParser::ReturnValue validateArguments = parser->CheckForRequiredArguments();
if( validateArguments == itk::CommandLineArgumentParser::FAILED )
{
itk::ReleaseContext();
return EXIT_FAILURE;
}
else if( validateArguments == itk::CommandLineArgumentParser::HELPREQUESTED )
{
itk::ReleaseContext();
return EXIT_SUCCESS;
}
// Get command line arguments
std::string inputFileName = "";
parser->GetCommandLineArgument( "-in", inputFileName );
std::vector< std::string > outputFileNames( 2, "" );
parser->GetCommandLineArgument( "-out", outputFileNames );
// Get acceptable rmse error
double rmseError;
parser->GetCommandLineArgument( "-rmse", rmseError );
// interpolator argument
std::string interpolator = "NearestNeighbor";
parser->GetCommandLineArgument( "-i", interpolator );
if( interpolator != "NearestNeighbor"
&& interpolator != "Linear"
&& interpolator != "BSpline" )
{
std::cerr << "ERROR: interpolator \"-i\" should be one of {NearestNeighbor, Linear, BSpline}." << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// transform argument
const bool useComboTransform = parser->ArgumentExists( "-c" );
std::vector< std::string > transforms;
transforms.push_back( "Affine" );
parser->GetCommandLineArgument( "-t", transforms );
// check that use combo transform provided when used multiple transforms
if( transforms.size() > 1 && !useComboTransform )
{
std::cerr << "ERROR: for multiple transforms option \"-c\" should provided." << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// check for supported transforms
for( std::size_t i = 0; i < transforms.size(); i++ )
{
const std::string transformName = transforms[ i ];
if( transformName != "Affine"
&& transformName != "Translation"
&& transformName != "BSpline"
&& transformName != "Euler"
&& transformName != "Similarity" )
{
std::cerr << "ERROR: transforms \"-t\" should be one of "
<< "{Affine, Translation, BSpline, Euler, Similarity}"
<< " or combination of them." << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
}
unsigned int runTimes = 1;
std::string parametersFileName = "";
for( std::size_t i = 0; i < transforms.size(); i++ )
{
if( transforms[ i ] == "BSpline" )
{
const bool retp = parser->GetCommandLineArgument( "-p", parametersFileName );
if( !retp )
{
std::cerr << "ERROR: You should specify parameters file \"-p\" for the B-spline transform." << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// Faster B-spline tests
runTimes = 1;
}
}
// Threads.
unsigned int maximumNumberOfThreads = itk::MultiThreaderBase::GetGlobalDefaultNumberOfThreads();
parser->GetCommandLineArgument( "-threads", maximumNumberOfThreads );
itk::MultiThreaderBase::SetGlobalMaximumNumberOfThreads( maximumNumberOfThreads );
// Setup for debugging.
itk::SetupForDebugging();
const unsigned int splineOrderInterpolator = 3;
std::cout << std::showpoint << std::setprecision( 4 );
// Typedefs.
const unsigned int Dimension = 3;
typedef short InputPixelType;
typedef short OutputPixelType;
typedef itk::Image< InputPixelType, Dimension > InputImageType;
typedef itk::Image< OutputPixelType, Dimension > OutputImageType;
typedef InputImageType::SizeType::SizeValueType SizeValueType;
typedef typelist::MakeTypeList< short >::Type OCLImageTypes;
// CPU typedefs
typedef float InterpolatorPrecisionType;
typedef float ScalarType;
typedef itk::ResampleImageFilter
< InputImageType, OutputImageType, InterpolatorPrecisionType > FilterType;
// Transform typedefs
typedef itk::Transform< ScalarType, Dimension, Dimension > TransformType;
typedef itk::AffineTransform< ScalarType, Dimension > AffineTransformType;
typedef itk::TranslationTransform< ScalarType, Dimension > TranslationTransformType;
typedef itk::BSplineTransform< ScalarType, Dimension, 3 > BSplineTransformType;
typedef itk::Euler3DTransform< ScalarType > EulerTransformType;
typedef itk::Similarity3DTransform< ScalarType > SimilarityTransformType;
// Advanced transform typedefs
typedef itk::AdvancedCombinationTransform< ScalarType, Dimension >
AdvancedCombinationTransformType;
typedef itk::AdvancedTransform< ScalarType, Dimension, Dimension >
AdvancedTransformType;
typedef itk::AdvancedMatrixOffsetTransformBase< ScalarType, Dimension, Dimension >
AdvancedAffineTransformType;
typedef itk::AdvancedTranslationTransform< ScalarType, Dimension >
AdvancedTranslationTransformType;
typedef itk::AdvancedBSplineDeformableTransform< ScalarType, Dimension, 3 >
AdvancedBSplineTransformType;
typedef itk::AdvancedEuler3DTransform< ScalarType >
AdvancedEulerTransformType;
typedef itk::AdvancedSimilarity3DTransform< ScalarType >
AdvancedSimilarityTransformType;
// Transform copiers
typedef itk::GPUAdvancedCombinationTransformCopier< OCLImageTypes, OCLImageDims, AdvancedCombinationTransformType, ScalarType >
AdvancedTransformCopierType;
typedef itk::GPUTransformCopier< OCLImageTypes, OCLImageDims, TransformType, ScalarType > TransformCopierType;
// Interpolate typedefs
typedef itk::InterpolateImageFunction<
InputImageType, InterpolatorPrecisionType > InterpolatorType;
// typedef itk::NearestNeighborInterpolateImageFunction<
// InputImageType, InterpolatorPrecisionType > NearestNeighborInterpolatorType;
// typedef itk::LinearInterpolateImageFunction<
// InputImageType, InterpolatorPrecisionType > LinearInterpolatorType;
// typedef itk::BSplineInterpolateImageFunction<
// InputImageType, ScalarType, InterpolatorPrecisionType > BSplineInterpolatorType;
// Interpolator copier
typedef itk::GPUInterpolatorCopier< OCLImageTypes, OCLImageDims, InterpolatorType, InterpolatorPrecisionType >
InterpolateCopierType;
typedef itk::ImageFileReader< InputImageType > ReaderType;
typedef itk::ImageFileWriter< OutputImageType > WriterType;
// CPU part
ReaderType::Pointer cpuReader;
FilterType::Pointer cpuFilter;
InterpolatorType::Pointer cpuInterpolator;
TransformType::Pointer cpuTransform;
// Keep BSpline transform parameters in memory
typedef BSplineTransformType::ParametersType BSplineParametersType;
std::vector< BSplineParametersType > bsplineParameters;
// CPU Reader
cpuReader = ReaderType::New();
cpuReader->SetFileName( inputFileName );
try
{
cpuReader->Update();
}
catch( itk::ExceptionObject & e )
{
std::cerr << "ERROR: Caught ITK exception during cpuReader->Update(): " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// Construct and setup the resample filter
cpuFilter = FilterType::New();
typedef itk::Statistics::MersenneTwisterRandomVariateGenerator RandomNumberGeneratorType;
RandomNumberGeneratorType::Pointer randomNum = RandomNumberGeneratorType::GetInstance();
InputImageType::ConstPointer inputImage = cpuReader->GetOutput();
const InputImageType::SpacingType inputSpacing = inputImage->GetSpacing();
const InputImageType::PointType inputOrigin = inputImage->GetOrigin();
const InputImageType::DirectionType inputDirection = inputImage->GetDirection();
const InputImageType::RegionType inputRegion = inputImage->GetBufferedRegion();
const InputImageType::SizeType inputSize = inputRegion.GetSize();
OutputImageType::SpacingType outputSpacing;
OutputImageType::PointType outputOrigin;
OutputImageType::DirectionType outputDirection;
OutputImageType::SizeType outputSize;
std::stringstream s; s << std::setprecision( 4 ) << std::setiosflags( std::ios_base::fixed );
double tmp1, tmp2;
for( std::size_t i = 0; i < Dimension; i++ )
{
tmp1 = randomNum->GetUniformVariate( 0.9, 1.1 );
tmp2 = inputSpacing[ i ] * tmp1;
s << tmp2; s >> outputSpacing[ i ]; s.clear();
tmp1 = randomNum->GetUniformVariate( -10.0, 10.0 );
tmp2 = inputOrigin[ i ] + tmp1;
s << tmp2; s >> outputOrigin[ i ]; s.clear();
for( unsigned int j = 0; j < Dimension; j++ )
{
//tmp = randomNum->GetUniformVariate( 0.9 * inputOrigin[ i ], 1.1 *
// inputOrigin[ i ] );
outputDirection[ i ][ j ] = inputDirection[ i ][ j ]; // * tmp;
}
tmp1 = randomNum->GetUniformVariate( 0.9, 1.1 );
outputSize[ i ] = itk::Math::Round< SizeValueType >( inputSize[ i ] * tmp1 );
}
cpuFilter->SetDefaultPixelValue( -1.0 );
cpuFilter->SetOutputSpacing( outputSpacing );
cpuFilter->SetOutputOrigin( outputOrigin );
cpuFilter->SetOutputDirection( outputDirection );
cpuFilter->SetSize( outputSize );
cpuFilter->SetOutputStartIndex( inputRegion.GetIndex() );
// Construct, select and setup transform
if( !useComboTransform )
{
AdvancedCombinationTransformType::Pointer dummy;
SetTransform<
// ITK Transforms
TransformType, AffineTransformType, TranslationTransformType,
BSplineTransformType, EulerTransformType, SimilarityTransformType,
// elastix Transforms
AdvancedCombinationTransformType, AdvancedAffineTransformType, AdvancedTranslationTransformType,
AdvancedBSplineTransformType, AdvancedEulerTransformType, AdvancedSimilarityTransformType,
InputImageType >
( 0, transforms[ 0 ], cpuTransform, dummy, inputImage, bsplineParameters, parametersFileName );
}
else
{
AdvancedTransformType::Pointer currentTransform;
AdvancedCombinationTransformType::Pointer initialTransform;
AdvancedCombinationTransformType::Pointer tmpTransform
= AdvancedCombinationTransformType::New();
initialTransform = tmpTransform;
cpuTransform = tmpTransform;
for( std::size_t i = 0; i < transforms.size(); i++ )
{
if( i == 0 )
{
SetTransform<
// ITK Transforms
TransformType, AffineTransformType, TranslationTransformType,
BSplineTransformType, EulerTransformType, SimilarityTransformType,
// elastix Transforms
AdvancedCombinationTransformType, AdvancedAffineTransformType, AdvancedTranslationTransformType,
AdvancedBSplineTransformType, AdvancedEulerTransformType, AdvancedSimilarityTransformType,
InputImageType >
( i, transforms[ i ], cpuTransform, initialTransform, inputImage, bsplineParameters, parametersFileName );
}
else
{
AdvancedCombinationTransformType::Pointer initialNext
= AdvancedCombinationTransformType::New();
SetTransform<
// ITK Transforms
TransformType, AffineTransformType, TranslationTransformType,
BSplineTransformType, EulerTransformType, SimilarityTransformType,
// elastix Transforms
AdvancedCombinationTransformType, AdvancedAffineTransformType, AdvancedTranslationTransformType,
AdvancedBSplineTransformType, AdvancedEulerTransformType, AdvancedSimilarityTransformType,
InputImageType >
( i, transforms[ i ], cpuTransform, initialNext, inputImage, bsplineParameters, parametersFileName );
initialTransform->SetInitialTransform( initialNext );
initialTransform = initialNext;
}
}
}
// Create CPU interpolator here
DefineInterpolator< InterpolatorType >(
cpuInterpolator, interpolator, splineOrderInterpolator );
// Print info
std::cout << "Testing the ResampleImageFilter, CPU vs GPU:\n";
std::cout << "CPU/GPU transform interpolator #threads time speedup RMSE\n";
// Time the filter, run on the CPU
itk::TimeProbe cputimer;
cputimer.Start();
for( std::size_t i = 0; i < runTimes; i++ )
{
cpuFilter->SetInput( cpuReader->GetOutput() );
cpuFilter->SetTransform( cpuTransform );
cpuFilter->SetInterpolator( cpuInterpolator );
try
{
cpuFilter->Update();
}
catch( itk::ExceptionObject & e )
{
std::cerr << "ERROR: Caught ITK exception during cpuFilter->Update(): " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// Modify the filter, only not the last iteration
if( i != runTimes - 1 )
{
cpuFilter->Modified();
}
}
cputimer.Stop();
std::cout << "CPU " << cpuTransform->GetNameOfClass()
<< " " << cpuInterpolator->GetNameOfClass()
<< " " << cpuFilter->GetNumberOfWorkUnits()
<< " " << cputimer.GetMean() / runTimes << std::endl;
/** Write the CPU result. */
WriterType::Pointer cpuWriter = WriterType::New();
cpuWriter->SetInput( cpuFilter->GetOutput() );
cpuWriter->SetFileName( outputFileNames[ 0 ].c_str() );
try
{
cpuWriter->Update();
}
catch( itk::ExceptionObject & e )
{
std::cerr << "ERROR: Caught ITK exception during cpuWriter->Update(): " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// Register object factory for GPU image and filter
// All these filters that are constructed after this point are
// turned into a GPU filter.
itk::GPUImageFactory2< OCLImageTypes, OCLImageDims >
::RegisterOneFactory();
itk::GPUResampleImageFilterFactory2< OCLImageTypes, OCLImageTypes, OCLImageDims >
::RegisterOneFactory();
itk::GPUCastImageFilterFactory2< OCLImageTypes, OCLImageTypes, OCLImageDims >
::RegisterOneFactory();
// Transforms factory registration
itk::GPUAffineTransformFactory2< OCLImageDims >::RegisterOneFactory();
itk::GPUTranslationTransformFactory2< OCLImageDims >::RegisterOneFactory();
itk::GPUBSplineTransformFactory2< OCLImageDims >::RegisterOneFactory();
itk::GPUEuler3DTransformFactory2< OCLImageDims >::RegisterOneFactory();
itk::GPUSimilarity3DTransformFactory2< OCLImageDims >::RegisterOneFactory();
// Interpolators factory registration
itk::GPUNearestNeighborInterpolateImageFunctionFactory2< OCLImageTypes, OCLImageDims >
::RegisterOneFactory();
itk::GPULinearInterpolateImageFunctionFactory2< OCLImageTypes, OCLImageDims >
::RegisterOneFactory();
itk::GPUBSplineInterpolateImageFunctionFactory2< OCLImageTypes, OCLImageDims >
::RegisterOneFactory();
itk::GPUBSplineDecompositionImageFilterFactory2< OCLImageTypes, OCLImageTypes, OCLImageDims >
::RegisterOneFactory();
// Advanced transforms factory registration
itk::GPUAdvancedCombinationTransformFactory2< OCLImageDims >::RegisterOneFactory();
itk::GPUAdvancedMatrixOffsetTransformBaseFactory2< OCLImageDims >::RegisterOneFactory();
itk::GPUAdvancedTranslationTransformFactory2< OCLImageDims >::RegisterOneFactory();
itk::GPUAdvancedBSplineDeformableTransformFactory2< OCLImageDims >::RegisterOneFactory();
//itk::GPUAdvancedEuler3DTransformFactory2< OCLImageDims >::RegisterOneFactory();
itk::GPUAdvancedSimilarity3DTransformFactory2< OCLImageDims >::RegisterOneFactory();
// GPU part
ReaderType::Pointer gpuReader;
FilterType::Pointer gpuFilter;
InterpolatorType::Pointer gpuInterpolator;
TransformType::Pointer gpuTransform;
// Construct the filter
// Use a try/catch, because construction of this filter will trigger
// OpenCL compilation, which may fail.
try
{
gpuFilter = FilterType::New();
itk::ITKObjectEnableWarnings( gpuFilter.GetPointer() );
}
catch( itk::ExceptionObject & e )
{
std::cerr << "Caught ITK exception during gpuFilter::New(): " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
gpuFilter->SetDefaultPixelValue( -1.0 );
gpuFilter->SetOutputSpacing( outputSpacing );
gpuFilter->SetOutputOrigin( outputOrigin );
gpuFilter->SetOutputDirection( outputDirection );
gpuFilter->SetSize( outputSize );
gpuFilter->SetOutputStartIndex( inputRegion.GetIndex() );
// Also need to re-construct the image reader, so that it now
// reads a GPUImage instead of a normal image.
// Otherwise, you will get an exception when running the GPU filter:
// "ERROR: The GPU InputImage is NULL. Filter unable to perform."
gpuReader = ReaderType::New();
gpuReader->SetFileName( inputFileName );
try
{
gpuReader->Update(); // needed?
}
catch( itk::ExceptionObject & e )
{
std::cerr << "ERROR: Caught ITK exception during cpuReader->Update(): " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
try
{
if( !useComboTransform )
{
TransformCopierType::Pointer copier = TransformCopierType::New();
copier->SetInputTransform( cpuTransform );
copier->SetExplicitMode( false );
copier->Update();
gpuTransform = copier->GetModifiableOutput();
}
else
{
// Get CPU AdvancedCombinationTransform
const AdvancedCombinationTransformType * CPUAdvancedCombinationTransform
= dynamic_cast< const AdvancedCombinationTransformType * >( cpuTransform.GetPointer() );
if( CPUAdvancedCombinationTransform )
{
AdvancedTransformCopierType::Pointer copier = AdvancedTransformCopierType::New();
copier->SetInputTransform( CPUAdvancedCombinationTransform );
copier->SetExplicitMode( false );
copier->Update();
gpuTransform = copier->GetModifiableOutput();
}
else
{
std::cerr << "ERROR: Unable to retrieve CPU AdvancedCombinationTransform." << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
}
}
catch( itk::ExceptionObject & e )
{
std::cerr << "ERROR: Caught ITK exception during copy transforms: " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// Create GPU copy for interpolator here
InterpolateCopierType::Pointer interpolateCopier = InterpolateCopierType::New();
interpolateCopier->SetInputInterpolator( cpuInterpolator );
interpolateCopier->SetExplicitMode( false );
interpolateCopier->Update();
gpuInterpolator = interpolateCopier->GetModifiableOutput();
// Time the filter, run on the GPU
itk::TimeProbe gputimer;
gputimer.Start();
for( std::size_t i = 0; i < runTimes; i++ )
{
try
{
gpuFilter->SetInput( gpuReader->GetOutput() );
gpuFilter->SetTransform( gpuTransform );
gpuFilter->SetInterpolator( gpuInterpolator );
}
catch( itk::ExceptionObject & e )
{
std::cerr << "ERROR: " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
try
{
gpuFilter->Update();
}
catch( itk::ExceptionObject & e )
{
std::cerr << "ERROR: " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// Modify the filter, only not the last iteration
if( i != runTimes - 1 )
{
gpuFilter->Modified();
}
}
gputimer.Stop();
std::cout << "GPU " << cpuTransform->GetNameOfClass()
<< " " << cpuInterpolator->GetNameOfClass()
<< " x " << gputimer.GetMean() / runTimes
<< " " << cputimer.GetMean() / gputimer.GetMean();
/** Write the GPU result. */
WriterType::Pointer gpuWriter = WriterType::New();
gpuWriter->SetInput( gpuFilter->GetOutput() );
gpuWriter->SetFileName( outputFileNames[ 1 ].c_str() );
try
{
gpuWriter->Update();
}
catch( itk::ExceptionObject & e )
{
std::cerr << "ERROR: " << e << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// Compute RMSE
double RMSrelative = 0.0;
const double RMSerror = itk::ComputeRMSE< double, OutputImageType, OutputImageType >
( cpuFilter->GetOutput(), gpuFilter->GetOutput(), RMSrelative );
std::cout << " " << RMSerror << std::endl;
// Check
if( RMSerror > rmseError )
{
std::cerr << "ERROR: the RMSE between the CPU and GPU results is "
<< RMSerror << ", which is larger than the expected "
<< rmseError << std::endl;
itk::ReleaseContext();
return EXIT_FAILURE;
}
// End program.
itk::ReleaseContext();
return EXIT_SUCCESS;
}
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