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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 <iostream>
#include "itkWarpImageFilter.h"
#include "itkStreamingImageFilter.h"
#include "itkPipelineMonitorImageFilter.h"
#include "itkMath.h"
#include "itkTestingMacros.h"
using ImageType = itk::Image<float, 3>;
using DisplacementFieldType = itk::Image<itk::Vector<double, 3>, 3>;
using WarpFilterType = itk::WarpImageFilter<ImageType, ImageType, DisplacementFieldType>;
using MonitorFilter = itk::PipelineMonitorImageFilter<ImageType>;
#define AllocateImageFromRegionAndSpacing(ImageType, rval, region, spacing) \
{ \
rval = ImageType::New(); \
rval->SetSpacing(spacing); \
rval->SetRegions(region); \
rval->Allocate(); \
} \
ITK_MACROEND_NOOP_STATEMENT
namespace
{
ImageType::Pointer
MakeCheckerboard()
{
using IteratorType = itk::ImageRegionIterator<ImageType>;
ImageType::SizeType size = { { 16, 16, 16 } };
ImageType::SpacingType spacing;
spacing[0] = spacing[1] = spacing[2] = 1.0;
ImageType::IndexType index = { { 0, 0, 0 } };
ImageType::RegionType region{ index, size };
ImageType::Pointer image;
AllocateImageFromRegionAndSpacing(ImageType, image, region, spacing);
image->FillBuffer(0.0);
for (IteratorType it(image, image->GetLargestPossibleRegion()); !it.IsAtEnd(); ++it)
{
ImageType::IndexType ind(it.GetIndex());
// initially checkboard 4 pixels wide
int x = ind[0] / 4;
int y = ind[1] / 4;
int z = ind[2] / 4;
bool black(((x & 1) + (y & 1)) & 1);
if (z & 1)
{
black = !black;
}
it.Set(black ? 255.0 : 0.0);
}
return image;
}
template <long unsigned int TImageIndexSpaceSize>
typename DisplacementFieldType::Pointer
MakeDisplacementField()
{
using IteratorType = itk::ImageRegionIterator<DisplacementFieldType>;
const DisplacementFieldType::SizeType size = { { TImageIndexSpaceSize, TImageIndexSpaceSize, TImageIndexSpaceSize } };
DisplacementFieldType::SpacingType spacing;
spacing[0] = spacing[1] = spacing[2] = 16.0 / static_cast<double>(TImageIndexSpaceSize);
DisplacementFieldType::IndexType index = { { 0, 0, 0 } };
DisplacementFieldType::RegionType region{ index, size };
DisplacementFieldType::Pointer image;
AllocateImageFromRegionAndSpacing(DisplacementFieldType, image, region, spacing);
for (IteratorType it(image, image->GetLargestPossibleRegion()); !it.IsAtEnd(); ++it)
{
DisplacementFieldType::PixelType pix;
for (unsigned int i = 0; i < 3; ++i)
{
pix[i] = 1.0;
}
it.Set(pix);
}
return image;
}
} // namespace
int
itkWarpImageFilterTest2(int, char *[])
{
// itk::MultiThreaderBase::SetGlobalDefaultNumberOfThreads(1);
// Make test image
ImageType::Pointer image = MakeCheckerboard();
// Make full-res displacement field
DisplacementFieldType::Pointer defField1 = MakeDisplacementField<16u>();
// Make half-res displacement field
DisplacementFieldType::Pointer defField2 = MakeDisplacementField<8u>();
auto filter = WarpFilterType::New();
// Test with full res
filter->SetDisplacementField(defField1);
filter->SetInput(image);
filter->SetOutputParametersFromImage(image);
filter->Update();
// Save output for later comparison
ImageType::Pointer result1 = filter->GetOutput();
// Disconnect to create new output
result1->DisconnectPipeline();
// Test with half res
filter->SetDisplacementField(defField2);
filter->SetInput(image);
filter->SetOutputParametersFromImage(image);
// Enforce re-execution just to be sure
filter->Modified();
filter->Update();
ImageType::Pointer result2 = filter->GetOutput();
itk::ImageRegionIterator<ImageType> it1(result1, result1->GetLargestPossibleRegion()),
it2(result2, result1->GetLargestPossibleRegion());
for (it1.GoToBegin(), it2.GoToBegin(); !it1.IsAtEnd() && !it2.IsAtEnd(); ++it1, ++it2)
{
if (itk::Math::NotAlmostEquals(it1.Value(), it2.Value()))
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in pixel value at index [" << it1.GetIndex() << "]" << std::endl;
std::cerr << "Expected value " << it1.Value() << std::endl;
std::cerr << " differs from " << it2.Value();
return EXIT_FAILURE;
}
}
ITK_TEST_EXPECT_EQUAL(it1.IsAtEnd(), it2.IsAtEnd());
// Try streaming
auto monitor1 = MonitorFilter::New();
monitor1->SetInput(image);
auto filter2 = WarpFilterType::New();
filter2->SetDisplacementField(defField2);
filter2->SetInput(monitor1->GetOutput());
filter2->SetOutputParametersFromImage(image);
auto monitor2 = MonitorFilter::New();
monitor2->SetInput(filter2->GetOutput());
using StreamerType = itk::StreamingImageFilter<ImageType, ImageType>;
auto streamer = StreamerType::New();
streamer->SetInput(monitor2->GetOutput());
streamer->SetNumberOfStreamDivisions(4);
streamer->Update();
itk::ImageRegionIterator<ImageType> streamIt(streamer->GetOutput(), streamer->GetOutput()->GetBufferedRegion());
for (streamIt.GoToBegin(), it2.GoToBegin(); !streamIt.IsAtEnd() && !it2.IsAtEnd(); ++streamIt, ++it2)
{
if (itk::Math::NotAlmostEquals(streamIt.Value(), it2.Value()))
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in pixel value at index [" << streamIt.GetIndex() << "]" << std::endl;
std::cerr << "Expected value " << it2.Value() << std::endl;
std::cerr << " differs from " << streamIt.Value();
return EXIT_FAILURE;
}
}
ITK_TEST_EXPECT_EQUAL(streamIt.IsAtEnd(), it2.IsAtEnd());
// Verify that the pipeline was executed as expected along with correct region propagation and output information
ITK_TEST_EXPECT_TRUE(monitor2->VerifyAllInputCanStream(4));
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
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