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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.
*
*=========================================================================*/
/**
* Test program for itkGPUImageToImageFilter class
*
* This program creates a GPU Mean filter and a CPU threshold filter using
* object factory framework and test pipelining of GPU and CPU filters.
*/
//#include "pathToOpenCLSourceCode.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkMeanImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkGPUImage.h"
#include "itkGPUKernelManager.h"
#include "itkGPUContextManager.h"
#include "itkGPUImageToImageFilter.h"
#include "itkGPUMeanImageFilter.h"
#include <string>
template <unsigned int VImageDimension>
int
runGPUImageFilterTest(const std::string & inFile, const std::string & outFile)
{
using InputPixelType = unsigned char;
using OutputPixelType = unsigned char;
using InputImageType = itk::Image<InputPixelType, VImageDimension>;
using OutputImageType = itk::Image<OutputPixelType, VImageDimension>;
using ReaderType = itk::ImageFileReader<InputImageType>;
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto reader = ReaderType::New();
auto writer = WriterType::New();
reader->SetFileName(inFile);
writer->SetFileName(outFile);
//
// Note: We use regular itk filter type here but factory will automatically create
// GPU filter for Median filter and CPU filter for threshold filter.
//
using MeanFilterType = itk::MeanImageFilter<InputImageType, OutputImageType>;
using ThresholdFilterType = itk::BinaryThresholdImageFilter<InputImageType, OutputImageType>;
auto filter1 = MeanFilterType::New();
auto filter2 = MeanFilterType::New();
auto filter3 = ThresholdFilterType::New();
// Mean filter kernel radius
typename InputImageType::SizeType indexRadius;
indexRadius[0] = 2; // radius along x
indexRadius[1] = 2; // radius along y
if (VImageDimension > 2)
{
indexRadius[2] = 2; // radius along z
}
// threshold parameters
constexpr InputPixelType upperThreshold = 255;
constexpr InputPixelType lowerThreshold = 175;
constexpr OutputPixelType outsideValue = 0;
constexpr OutputPixelType insideValue = 255;
filter1->SetRadius(indexRadius);
filter2->SetRadius(indexRadius);
filter3->SetOutsideValue(outsideValue);
filter3->SetInsideValue(insideValue);
filter3->SetUpperThreshold(upperThreshold);
filter3->SetLowerThreshold(lowerThreshold);
// build pipeline
filter1->SetInput(reader->GetOutput()); // copy CPU->GPU implicilty
filter2->SetInput(filter1->GetOutput());
filter3->SetInput(filter2->GetOutput());
writer->SetInput(filter3->GetOutput()); // copy GPU->CPU implicilty
// execute pipeline filter and write output
writer->Update();
return EXIT_SUCCESS;
}
int
itkGPUImageFilterTest(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 = std::stoi(argv[3]);
}
if (dim == 2)
{
return runGPUImageFilterTest<2>(inFile, outFile);
}
else if (dim == 3)
{
return runGPUImageFilterTest<3>(inFile, outFile);
}
else
{
std::cerr << "Error: only 2 or 3 dimensions allowed, " << dim << " selected." << std::endl;
return EXIT_FAILURE;
}
}
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