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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.
*
*=========================================================================*/
/**
* Test program for itkGPUBinaryThresholdImageFilter class
*
*/
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkTimeProbe.h"
#include "itkGPUImage.h"
#include "itkGPUKernelManager.h"
#include "itkGPUContextManager.h"
#include "itkGPUImageToImageFilter.h"
#include "itkGPUBinaryThresholdImageFilter.h"
template< unsigned int VImageDimension >
int runGPUBinaryThresholdImageFilterTest(const std::string& inFile, const std::string& outFile)
{
typedef unsigned char InputPixelType;
typedef unsigned char OutputPixelType;
typedef itk::GPUImage< InputPixelType, VImageDimension > InputImageType;
typedef itk::GPUImage< OutputPixelType, VImageDimension > OutputImageType;
typedef itk::ImageFileReader< InputImageType > ReaderType;
typedef itk::ImageFileWriter< OutputImageType > WriterType;
typename ReaderType::Pointer reader = ReaderType::New();
typename WriterType::Pointer writer = WriterType::New();
if(!itk::IsGPUAvailable())
{
std::cerr << "OpenCL-enabled GPU is not present." << std::endl;
return EXIT_FAILURE;
}
reader->SetFileName( inFile );
writer->SetFileName( outFile );
typedef itk::BinaryThresholdImageFilter< InputImageType, OutputImageType > ThresholdFilterType;
typedef itk::GPUBinaryThresholdImageFilter< InputImageType, OutputImageType > GPUThresholdFilterType;
// threshold parameters
const InputPixelType upperThreshold = 255;
const InputPixelType lowerThreshold = 175;
const OutputPixelType outsideValue = 0;
const OutputPixelType insideValue = 255;
for(int nThreads = 1; nThreads <= 8; nThreads++)
{
typename ThresholdFilterType::Pointer CPUFilter = ThresholdFilterType::New();
itk::TimeProbe cputimer;
cputimer.Start();
// build pipeline
CPUFilter->SetNumberOfThreads( nThreads );
CPUFilter->SetOutsideValue( outsideValue );
CPUFilter->SetInsideValue( insideValue );
CPUFilter->SetUpperThreshold( upperThreshold );
CPUFilter->SetLowerThreshold( lowerThreshold );
//CPUFilter->SetInPlace( true );
CPUFilter->SetInput( reader->GetOutput() );
CPUFilter->Update();
cputimer.Stop();
std::cout << "CPU binary threshold took " << cputimer.GetMean() << " seconds with "
<< CPUFilter->GetNumberOfThreads() << " threads.\n" << std::endl;
if( nThreads == 8 )
{
typename GPUThresholdFilterType::Pointer GPUFilter = GPUThresholdFilterType::New();
itk::TimeProbe gputimer;
gputimer.Start();
GPUFilter->SetOutsideValue( outsideValue );
GPUFilter->SetInsideValue( insideValue );
GPUFilter->SetUpperThreshold( upperThreshold );
GPUFilter->SetLowerThreshold( lowerThreshold );
//GPUFilter->SetInPlace( true );
GPUFilter->SetInput( reader->GetOutput() );
GPUFilter->Update();
GPUFilter->GetOutput()->UpdateBuffers(); // synchronization point
gputimer.Stop();
std::cout << "GPU binary threshold took " << gputimer.GetMean() << " seconds.\n" << std::endl;
// ---------------
// RMS Error check
// ---------------
double diff = 0;
unsigned int nPix = 0;
itk::ImageRegionIterator<OutputImageType> cit(CPUFilter->GetOutput(), CPUFilter->GetOutput()->GetLargestPossibleRegion());
itk::ImageRegionIterator<OutputImageType> git(GPUFilter->GetOutput(), GPUFilter->GetOutput()->GetLargestPossibleRegion());
for(cit.GoToBegin(), git.GoToBegin(); !cit.IsAtEnd(); ++cit, ++git)
{
double err = (double)(cit.Get()) - (double)(git.Get());
diff += err*err;
nPix++;
}
if (nPix > 0)
{
double RMSError = sqrt( diff / (double)nPix );
std::cout << "RMS Error : " << RMSError << std::endl;
double RMSThreshold = 0;
writer->SetInput( GPUFilter->GetOutput() );
// execute pipeline filter and write output
writer->Update();
if (itk::Math::isnan(RMSError))
{
std::cout << "RMS Error is NaN! nPix: " << nPix << std::endl;
return EXIT_FAILURE;
}
if (RMSError > RMSThreshold)
{
std::cout << "RMS Error exceeds threshold (" << RMSThreshold << ")" << std::endl;
return EXIT_FAILURE;
}
}
else
{
std::cout << "No pixels in output!" << std::endl;
return EXIT_FAILURE;
}
}
}
return EXIT_SUCCESS;
}
int itkGPUBinaryThresholdImageFilterTest(int argc, char *argv[])
{
if( argc < 3 )
{
std::cerr << "Error: missing arguments" << std::endl;
std::cerr << "inputfile outputfile [num_dimensions]" << std::endl;
return EXIT_FAILURE;
}
std::string inFile( argv[1] );
std::string outFile( argv[2] );
unsigned int dim = 3;
if( argc >= 4 )
{
dim = atoi( argv[3] );
}
if( dim == 2 )
{
return runGPUBinaryThresholdImageFilterTest<2>(inFile, outFile);
}
else if( dim == 3 )
{
return runGPUBinaryThresholdImageFilterTest<3>(inFile, outFile);
}
else
{
std::cerr << "Error: only 2 or 3 dimensions allowed, " << dim << " selected." << std::endl;
return EXIT_FAILURE;
}
}
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