1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
|
/*
* Copyright (C) 2005-2020 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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
*
* 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 otbStreamingShrinkImageFilter_hxx
#define otbStreamingShrinkImageFilter_hxx
#include "otbStreamingShrinkImageFilter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "otbMacro.h"
#include "itkProgressReporter.h"
namespace otb
{
template <class TImage>
StreamingShrinkStreamingManager<TImage>::StreamingShrinkStreamingManager() : m_ShrinkFactor(10)
{
}
template <class TImage>
StreamingShrinkStreamingManager<TImage>::~StreamingShrinkStreamingManager()
{
}
template <class TImage>
void StreamingShrinkStreamingManager<TImage>::PrepareStreaming(itk::DataObject* input, const RegionType& region)
{
typedef otb::StreamingShrinkImageRegionSplitter TileSplitterType;
TileSplitterType::Pointer splitter = TileSplitterType::New();
splitter->SetShrinkFactor(m_ShrinkFactor);
this->m_Splitter = splitter;
unsigned long nbDivisions = this->EstimateOptimalNumberOfDivisions(input, region, 0);
this->m_ComputedNumberOfSplits = this->m_Splitter->GetNumberOfSplits(region, nbDivisions);
otbMsgDevMacro(<< "Number of split : " << this->m_ComputedNumberOfSplits)
// Save the region to generate the splits later
this->m_Region = region;
}
/** Constructor */
template <class TInputImage, class TOutputImage>
PersistentShrinkImageFilter<TInputImage, TOutputImage>::PersistentShrinkImageFilter() : m_ShrinkFactor(10)
{
this->SetNumberOfRequiredInputs(1);
this->SetNumberOfRequiredOutputs(1);
}
/** Destructor */
template <class TInputImage, class TOutputImage>
PersistentShrinkImageFilter<TInputImage, TOutputImage>::~PersistentShrinkImageFilter()
{
}
template <class TInputImage, class TOutputImage>
void PersistentShrinkImageFilter<TInputImage, TOutputImage>::GenerateOutputInformation()
{
Superclass::GenerateOutputInformation();
const InputImageType* input = this->GetInput();
OutputImageType* output = this->GetOutput();
if (input)
{
output->CopyInformation(input);
output->SetLargestPossibleRegion(input->GetLargestPossibleRegion());
if (output->GetRequestedRegion().GetNumberOfPixels() == 0)
{
output->SetRequestedRegion(output->GetLargestPossibleRegion());
}
}
}
template <class TInputImage, class TOutputImage>
void PersistentShrinkImageFilter<TInputImage, TOutputImage>::AllocateOutputs()
{
// This is commented to prevent the streaming of the whole image for the first stream strip
// It shall not cause any problem because the output image of this filter is not intended to be used.
// InputImagePointer image = const_cast< TInputImage * >( this->GetInput() );
// this->GraftOutput( image );
// Nothing that needs to be allocated for the remaining outputs
}
template <class TInputImage, class TOutputImage>
void PersistentShrinkImageFilter<TInputImage, TOutputImage>::Reset()
{
// Get pointers to the input and output
InputImageType* inputPtr = const_cast<InputImageType*>(this->GetInput());
inputPtr->UpdateOutputInformation();
m_ShrunkOutput = OutputImageType::New();
m_ShrunkOutput->CopyInformation(inputPtr);
const typename InputImageType::SpacingType& inputSpacing = inputPtr->GetSignedSpacing();
const typename InputImageType::SizeType& inputSize = inputPtr->GetLargestPossibleRegion().GetSize();
const typename InputImageType::IndexType& inputIndex = inputPtr->GetLargestPossibleRegion().GetIndex();
typename InputImageType::IndexType startIndex;
typename OutputImageType::SpacingType shrunkOutputSpacing;
typename OutputImageType::RegionType shrunkOutputLargestPossibleRegion;
typename OutputImageType::SizeType shrunkOutputSize;
typename OutputImageType::IndexType shrunkOutputStartIndex;
typename OutputImageType::PointType shrunkOutputOrigin;
for (unsigned int i = 0; i < OutputImageType::ImageDimension; ++i)
{
startIndex[i] = inputIndex[i] + (m_ShrinkFactor - 1) / 2;
if (m_ShrinkFactor > inputSize[i])
startIndex[i] = inputIndex[i] + (inputSize[i] - 1) / 2;
m_Offset[i] = startIndex[i] % m_ShrinkFactor;
shrunkOutputSpacing[i] = inputSpacing[i] * static_cast<double>(m_ShrinkFactor);
shrunkOutputSize[i] = inputSize[i] > m_ShrinkFactor ? inputSize[i] / m_ShrinkFactor : 1;
shrunkOutputOrigin[i] = inputPtr->GetOrigin()[i] + inputSpacing[i] * startIndex[i];
// we choose to output a region with a start index [0,0]
// the origin is set accordingly
shrunkOutputStartIndex[i] = 0;
}
m_ShrunkOutput->SetSignedSpacing(shrunkOutputSpacing);
m_ShrunkOutput->SetOrigin(shrunkOutputOrigin);
shrunkOutputLargestPossibleRegion.SetSize(shrunkOutputSize);
shrunkOutputLargestPossibleRegion.SetIndex(shrunkOutputStartIndex);
m_ShrunkOutput->SetRegions(shrunkOutputLargestPossibleRegion);
m_ShrunkOutput->Allocate();
}
template <class TInputImage, class TOutputImage>
void PersistentShrinkImageFilter<TInputImage, TOutputImage>::Synthetize()
{
}
template <class TInputImage, class TOutputImage>
void PersistentShrinkImageFilter<TInputImage, TOutputImage>::BeforeThreadedGenerateData()
{
}
template <class TInputImage, class TOutputImage>
void PersistentShrinkImageFilter<TInputImage, TOutputImage>::ThreadedGenerateData(const RegionType& outputRegionForThread, itk::ThreadIdType threadId)
{
// std::cout << "outputRegionForThread " << threadId << " " << outputRegionForThread << std::endl;
itk::ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
const InputImageType* inputPtr = this->GetInput();
itk::ImageRegionConstIteratorWithIndex<InputImageType> inIt(inputPtr, outputRegionForThread);
for (inIt.GoToBegin(); !inIt.IsAtEnd(); ++inIt, progress.CompletedPixel())
{
const IndexType& inIndex = inIt.GetIndex();
// TODO the pixel value should be taken near the centre of the cell, not at the corners
if ((inIndex[0] - m_Offset[0]) % m_ShrinkFactor == 0 && (inIndex[1] - m_Offset[1]) % m_ShrinkFactor == 0)
{
IndexType shrunkIndex;
shrunkIndex[0] = (inIndex[0] - m_Offset[0]) / m_ShrinkFactor;
shrunkIndex[1] = (inIndex[1] - m_Offset[1]) / m_ShrinkFactor;
if (m_ShrunkOutput->GetLargestPossibleRegion().IsInside(shrunkIndex))
m_ShrunkOutput->SetPixel(shrunkIndex, inIt.Get());
}
}
}
template <class TInputImage, class TOutputImage>
void PersistentShrinkImageFilter<TInputImage, TOutputImage>::AfterThreadedGenerateData()
{
}
template <class TImage, class TOutputImage>
void PersistentShrinkImageFilter<TImage, TOutputImage>::PrintSelf(std::ostream& os, itk::Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Shrink factor: " << m_ShrinkFactor << std::endl;
}
} // End namespace otb
#endif
|