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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.
*
*=========================================================================*/
#include "itkConvolutionImageFilter.h"
#include "itkFFTConvolutionImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
#include "itkGaussianImageSource.h"
#include "itkPipelineMonitorImageFilter.h"
#include "itkStreamingImageFilter.h"
using KernelImageType = itk::Image<float, 2>;
typename KernelImageType::Pointer
GenerateKernelForStreamingTest()
{
using SourceType = itk::GaussianImageSource<KernelImageType>;
using KernelSizeType = typename SourceType::SizeType;
auto source = SourceType::New();
KernelSizeType kernelSize{ { 3, 5 } };
source->SetSize(kernelSize);
source->SetMean(2);
source->SetSigma(3.0);
source->SetScale(1.0);
source->SetNormalized(true);
source->Update();
return source->GetOutput();
}
template <typename ConvolutionFilterType>
int
doConvolutionImageFilterStreamingTest(int argc, char * argv[])
{
constexpr int ImageDimension = 2;
using PixelType = float;
using ImageType = itk::Image<PixelType, ImageDimension>;
using RegionType = typename ImageType::RegionType;
using SizeType = typename RegionType::SizeType;
using IndexType = typename RegionType::IndexType;
// Request a subregion of the largest possible output
IndexType requestedIndex;
requestedIndex[0] = std::atoi(argv[4]);
requestedIndex[1] = std::atoi(argv[5]);
SizeType requestedSize;
requestedSize[0] = std::atoi(argv[6]);
requestedSize[1] = std::atoi(argv[7]);
RegionType requestedRegion(requestedIndex, requestedSize);
auto regionMode = (argc > 9 && std::string("valid").compare(argv[8]) == 0
? itk::ConvolutionImageFilterBaseEnums::ConvolutionImageFilterOutputRegion::VALID
: itk::ConvolutionImageFilterBaseEnums::ConvolutionImageFilterOutputRegion::SAME);
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader1 = ReaderType::New();
reader1->SetFileName(argv[2]);
// Verify the requested region is a subregion of the largest possible region
reader1->UpdateOutputInformation();
ITK_TEST_EXPECT_TRUE(reader1->GetOutput()->GetLargestPossibleRegion().IsInside(requestedRegion));
using PipelineMonitorType = itk::PipelineMonitorImageFilter<ImageType>;
auto inputMonitor = PipelineMonitorType::New();
inputMonitor->SetInput(reader1->GetOutput());
KernelImageType::Pointer kernelImage = GenerateKernelForStreamingTest();
auto convoluter = ConvolutionFilterType::New();
convoluter->SetInput(inputMonitor->GetOutput());
convoluter->SetKernelImage(kernelImage);
convoluter->SetOutputRegionMode(regionMode);
convoluter->SetReleaseDataFlag(true);
itk::SimpleFilterWatcher watcher(convoluter, "filter");
using PipelineMonitorType = itk::PipelineMonitorImageFilter<ImageType>;
auto outputMonitor = PipelineMonitorType::New();
outputMonitor->SetInput(convoluter->GetOutput());
using StreamingFilterType = itk::StreamingImageFilter<ImageType, ImageType>;
auto streamer = StreamingFilterType::New();
streamer->SetInput(outputMonitor->GetOutput());
const unsigned int numStreamDivisions = 10;
streamer->SetNumberOfStreamDivisions(numStreamDivisions);
streamer->GetOutput()->SetRequestedRegion(requestedRegion);
ITK_TRY_EXPECT_NO_EXCEPTION(streamer->Update());
// Verify the pipeline executed as expected
// Expect requested region propagates twice due to ConvolutionImageFilter having
// two inputs (Primary and KernelImage)
const unsigned int requestsPerStream = 2;
// Verify ConvolutionImageFilter upstream requests
ITK_TEST_EXPECT_EQUAL(inputMonitor->GetOutputRequestedRegions().size(), requestsPerStream * numStreamDivisions);
ITK_TEST_EXPECT_EQUAL(inputMonitor->GetNumberOfUpdates(), numStreamDivisions);
// Verify ConvolutionImageFilter downstream outputs
ITK_TEST_EXPECT_EQUAL(outputMonitor->GetNumberOfUpdates(), numStreamDivisions);
ITK_TEST_EXPECT_EQUAL(outputMonitor->GetOutputRequestedRegions().size(), numStreamDivisions);
ITK_TEST_EXPECT_TRUE(outputMonitor->VerifyInputFilterBufferedRequestedRegions());
ITK_TEST_EXPECT_TRUE(outputMonitor->VerifyAllInputCanStream(numStreamDivisions));
ITK_TEST_EXPECT_TRUE(outputMonitor->VerifyInputFilterMatchedUpdateOutputInformation());
//// Write out buffered region resulting from convolution
using RegionOfInterestFilterType = itk::RegionOfInterestImageFilter<ImageType, ImageType>;
auto cropFilter = RegionOfInterestFilterType::New();
cropFilter->SetInput(streamer->GetOutput());
cropFilter->SetRegionOfInterest(streamer->GetOutput()->GetBufferedRegion());
cropFilter->Update();
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[3]);
writer->SetInput(cropFilter->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
std::cout << "Wrote output image to " << argv[3] << std::endl;
return EXIT_SUCCESS;
}
int
itkConvolutionImageFilterStreamingTest(int argc, char * argv[])
{
if (argc < 8)
{
std::cout << "Usage: " << itkNameOfTestExecutableMacro(argv) << "convolutionType "
<< "inputImage "
<< "outputImage "
<< "indexX indexY sizeX sizeY "
<< "[regionMode]" << std::endl;
return EXIT_FAILURE;
}
constexpr int ImageDimension = 2;
using PixelType = float;
using ImageType = itk::Image<PixelType, ImageDimension>;
if (std::string("frequency").compare(argv[1]) == 0)
{
using FrequencyConvolutionType = itk::FFTConvolutionImageFilter<ImageType>;
// Do a quick filter sanity check before the test
auto convoluter = FrequencyConvolutionType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(convoluter, FFTConvolutionImageFilter, ConvolutionImageFilterBase);
return doConvolutionImageFilterStreamingTest<FrequencyConvolutionType>(argc, argv);
}
else // spatial
{
using SpatialConvolutionType = itk::ConvolutionImageFilter<ImageType>;
// Do a quick filter sanity check before the test
auto convoluter = SpatialConvolutionType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(convoluter, ConvolutionImageFilter, ConvolutionImageFilterBase);
return doConvolutionImageFilterStreamingTest<SpatialConvolutionType>(argc, argv);
}
}
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