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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.
*
*=========================================================================*/
#ifndef itkGPUMeanImageFilter_hxx
#define itkGPUMeanImageFilter_hxx
#include "itkGPUMeanImageFilter.h"
namespace itk
{
template< typename TInputImage, typename TOutputImage >
GPUMeanImageFilter< TInputImage, TOutputImage >::GPUMeanImageFilter()
{
std::ostringstream defines;
if(TInputImage::ImageDimension > 3)
{
itkExceptionMacro("GPUMeanImageFilter supports 1/2/3D image.");
}
defines << "#define DIM_" << TInputImage::ImageDimension << "\n";
defines << "#define PIXELTYPE ";
GetTypenameInString( typeid ( typename TInputImage::PixelType ), defines );
const char* GPUSource = GPUMeanImageFilter::GetOpenCLSource();
// load and build program
this->m_GPUKernelManager->LoadProgramFromString( GPUSource, defines.str().c_str() );
// create kernel
m_MeanFilterGPUKernelHandle = this->m_GPUKernelManager->CreateKernel("MeanFilter");
}
template< typename TInputImage, typename TOutputImage >
GPUMeanImageFilter< TInputImage, TOutputImage >::~GPUMeanImageFilter()
{
}
template< typename TInputImage, typename TOutputImage >
void
GPUMeanImageFilter< TInputImage, TOutputImage >::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
}
template< typename TInputImage, typename TOutputImage >
void
GPUMeanImageFilter< TInputImage, TOutputImage >::GPUGenerateData()
{
typedef typename itk::GPUTraits< TInputImage >::Type GPUInputImage;
typedef typename itk::GPUTraits< TOutputImage >::Type GPUOutputImage;
typename GPUInputImage::Pointer inPtr = dynamic_cast< GPUInputImage * >( this->ProcessObject::GetInput(0) );
typename GPUOutputImage::Pointer otPtr = dynamic_cast< GPUOutputImage * >( this->ProcessObject::GetOutput(0) );
typename GPUOutputImage::SizeType outSize = otPtr->GetLargestPossibleRegion().GetSize();
int radius[3];
int imgSize[3];
radius[0] = radius[1] = radius[2] = 0;
imgSize[0] = imgSize[1] = imgSize[2] = 1;
int ImageDim = (int)TInputImage::ImageDimension;
for(int i=0; i<ImageDim; i++)
{
radius[i] = (this->GetRadius() )[i];
imgSize[i] = outSize[i];
}
size_t localSize[3], globalSize[3];
localSize[0] = localSize[1] = localSize[2] = OpenCLGetLocalBlockSize(ImageDim);
for(int i=0; i<ImageDim; i++)
{
globalSize[i] = localSize[i]*(unsigned int)ceil( (float)outSize[i]/(float)localSize[i]); //
// total
// #
// of
// threads
}
// arguments set up
int argidx = 0;
this->m_GPUKernelManager->SetKernelArgWithImage(m_MeanFilterGPUKernelHandle, argidx++, inPtr->GetGPUDataManager() );
this->m_GPUKernelManager->SetKernelArgWithImage(m_MeanFilterGPUKernelHandle, argidx++, otPtr->GetGPUDataManager() );
for(int i=0; i<ImageDim; i++)
{
this->m_GPUKernelManager->SetKernelArg(m_MeanFilterGPUKernelHandle, argidx++, sizeof(int), &(radius[i]) );
}
for(int i=0; i<ImageDim; i++)
{
this->m_GPUKernelManager->SetKernelArg(m_MeanFilterGPUKernelHandle, argidx++, sizeof(int), &(imgSize[i]) );
}
// launch kernel
this->m_GPUKernelManager->LaunchKernel( m_MeanFilterGPUKernelHandle, (int)TInputImage::ImageDimension, globalSize,
localSize );
}
} // end namespace itk
#endif
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