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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.
*
*=========================================================================*/
#ifndef itkMiniPipelineSeparableImageFilter_hxx
#define itkMiniPipelineSeparableImageFilter_hxx
#include "itkProgressAccumulator.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage, typename TFilter>
MiniPipelineSeparableImageFilter<TInputImage, TOutputImage, TFilter>::MiniPipelineSeparableImageFilter()
{
// create the pipeline
for (unsigned int i = 0; i < ImageDimension; ++i)
{
m_Filters[i] = FilterType::New();
m_Filters[i]->ReleaseDataFlagOn();
if (i > 0)
{
m_Filters[i]->SetInput(m_Filters[i - 1]->GetOutput());
}
}
m_Cast = CastType::New();
m_Cast->SetInput(m_Filters[ImageDimension - 1]->GetOutput());
m_Cast->SetInPlace(true);
}
template <typename TInputImage, typename TOutputImage, typename TFilter>
void
MiniPipelineSeparableImageFilter<TInputImage, TOutputImage, TFilter>::Modified() const
{
Superclass::Modified();
for (unsigned int i = 0; i < ImageDimension; ++i)
{
m_Filters[i]->Modified();
}
m_Cast->Modified();
}
template <typename TInputImage, typename TOutputImage, typename TFilter>
void
MiniPipelineSeparableImageFilter<TInputImage, TOutputImage, TFilter>::SetNumberOfWorkUnits(ThreadIdType nb)
{
Superclass::SetNumberOfWorkUnits(nb);
for (unsigned int i = 0; i < ImageDimension; ++i)
{
m_Filters[i]->SetNumberOfWorkUnits(nb);
}
m_Cast->SetNumberOfWorkUnits(nb);
}
template <typename TInputImage, typename TOutputImage, typename TFilter>
void
MiniPipelineSeparableImageFilter<TInputImage, TOutputImage, TFilter>::SetRadius(const RadiusType & radius)
{
Superclass::SetRadius(radius);
// set up the kernels
for (unsigned int i = 0; i < ImageDimension; ++i)
{
RadiusType rad;
rad.Fill(0);
rad[i] = radius[i];
m_Filters[i]->SetRadius(rad);
}
}
template <typename TInputImage, typename TOutputImage, typename TFilter>
void
MiniPipelineSeparableImageFilter<TInputImage, TOutputImage, TFilter>::GenerateData()
{
this->AllocateOutputs();
// set up the pipeline
m_Filters[0]->SetInput(this->GetInput());
// Create a process accumulator for tracking the progress of this minipipeline
auto progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
for (unsigned int i = 0; i < ImageDimension; ++i)
{
progress->RegisterInternalFilter(m_Filters[i], 1.0 / ImageDimension);
}
m_Cast->GraftOutput(this->GetOutput());
m_Cast->Update();
this->GraftOutput(m_Cast->GetOutput());
}
} // namespace itk
#endif
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