diff --git a/Modules/Applications/AppClassification/app/otbZonalStatistics.cxx b/Modules/Applications/AppClassification/app/otbZonalStatistics.cxx
index 1697e13bde6670ef50672d2c960766ab83f2306b..7d78276c47c3050368e09f2d04832780ebf09025 100644
--- a/Modules/Applications/AppClassification/app/otbZonalStatistics.cxx
+++ b/Modules/Applications/AppClassification/app/otbZonalStatistics.cxx
@@ -79,7 +79,7 @@ public:
typedef itk::BinaryThresholdImageFilter<LabelImageType,
LabelImageType> ThresholdFilterType;
- template<class TInput, class TOutput>
+ template <class TInput, class TOutput>
struct EncoderFunctorType
{
StatsFilterType::LabelPopulationMapType* m_CountMap;
@@ -93,17 +93,17 @@ public:
static constexpr size_t m_NbStatsPerBand{4};
static constexpr size_t m_NbGlobalStats{1};
- size_t OutputSize(const std::array<size_t,1> & ) const
+ size_t OutputSize(const std::array<size_t, 1>&) const
{
return m_NbInputComponents*m_NbStatsPerBand+m_NbGlobalStats;
}
size_t OutputSize() const
{
- return m_NbInputComponents*m_NbStatsPerBand+m_NbGlobalStats;
+ return m_NbInputComponents * m_NbStatsPerBand + m_NbGlobalStats;
}
- TOutput operator()(TInput const &pix)
+ TOutput operator()(TInput const& pix)
{
TOutput outPix(OutputSize());
outPix.Fill(m_OutBvValue);
@@ -135,11 +135,8 @@ public:
else return false;
}
};
- typedef otb::FunctorImageFilter<EncoderFunctorType<
- LabelValueType,
- FloatVectorImageType::PixelType
- >> EncoderFilterType;
-
+ typedef otb::FunctorImageFilter<EncoderFunctorType<LabelValueType, FloatVectorImageType::PixelType>> EncoderFilterType;
+
/** Standard macro */
itkNewMacro(Self);
itkTypeMacro(ZonalStatistics, Application);
@@ -414,19 +411,18 @@ public:
m_EncoderFilter->SetInput(m_RasterizeFilter->GetOutput());
}
- m_EncoderFilter->GetModifiableFunctor().m_CountMap = &m_CountMap;
- m_EncoderFilter->GetModifiableFunctor().m_MeanMap = &m_MeanMap;
- m_EncoderFilter->GetModifiableFunctor().m_StdMap = &m_StdMap;
- m_EncoderFilter->GetModifiableFunctor().m_MinMap = &m_MinMap;
- m_EncoderFilter->GetModifiableFunctor().m_MaxMap = &m_MaxMap;
- m_EncoderFilter->GetModifiableFunctor().m_NbInputComponents = m_InputImage->GetNumberOfComponentsPerPixel();
- m_EncoderFilter->GetModifiableFunctor().m_InNoData = m_IntNoData;
- m_EncoderFilter->GetModifiableFunctor().m_OutBvValue = m_OutBvValue;
-
- otbAppLogINFO("Output raster image will have " <<
- (m_EncoderFilter->GetFunctor()).OutputSize() << " bands\n");
- AddProcess(m_EncoderFilter, "Encode output raster image");
- SetParameterOutputImage("out.raster.filename", m_EncoderFilter->GetOutput());
+ m_EncoderFilter->GetModifiableFunctor().m_CountMap = &m_CountMap;
+ m_EncoderFilter->GetModifiableFunctor().m_MeanMap = &m_MeanMap;
+ m_EncoderFilter->GetModifiableFunctor().m_StdMap = &m_StdMap;
+ m_EncoderFilter->GetModifiableFunctor().m_MinMap = &m_MinMap;
+ m_EncoderFilter->GetModifiableFunctor().m_MaxMap = &m_MaxMap;
+ m_EncoderFilter->GetModifiableFunctor().m_NbInputComponents = m_InputImage->GetNumberOfComponentsPerPixel();
+ m_EncoderFilter->GetModifiableFunctor().m_InNoData = m_IntNoData;
+ m_EncoderFilter->GetModifiableFunctor().m_OutBvValue = m_OutBvValue;
+
+ otbAppLogINFO("Output raster image will have " << (m_EncoderFilter->GetFunctor()).OutputSize() << " bands\n");
+ AddProcess(m_EncoderFilter, "Encode output raster image");
+ SetParameterOutputImage("out.raster.filename", m_EncoderFilter->GetOutput());
}
void WriteXMLStatsFile()
diff --git a/Modules/Applications/AppFiltering/app/otbContrastEnhancement.cxx b/Modules/Applications/AppFiltering/app/otbContrastEnhancement.cxx
index 4a1bc5880b271d8ef7b0af3e8b3f69cd7a79de05..bbb8f2757b801c60d4254f6c6662c02e0ca82120 100644
--- a/Modules/Applications/AppFiltering/app/otbContrastEnhancement.cxx
+++ b/Modules/Applications/AppFiltering/app/otbContrastEnhancement.cxx
@@ -46,25 +46,23 @@ namespace Wrapper
namespace Functor
{
-template<class TInput, class TOutput>
+template <class TInput, class TOutput>
class LuminanceOperator
{
public:
LuminanceOperator() = default;
-
- size_t OutputSize(const std::array<size_t,1> &) const
+
+ size_t OutputSize(const std::array<size_t, 1>&) const
{
return 1;
}
virtual ~LuminanceOperator() = default;
- TOutput operator() ( TInput input )
- {
- TOutput out(1);
- out[0] = m_LumCoef[0] * input[m_Rgb[0]] +
- m_LumCoef[1] * input[m_Rgb[1]] +
- m_LumCoef[2] * input[m_Rgb[2]] ;
- return out;
+ TOutput operator()(TInput input)
+ {
+ TOutput out(1);
+ out[0] = m_LumCoef[0] * input[m_Rgb[0]] + m_LumCoef[1] * input[m_Rgb[1]] + m_LumCoef[2] * input[m_Rgb[2]];
+ return out;
} // end operator ()
@@ -86,7 +84,7 @@ private:
std::vector<float> m_LumCoef;
}; // end of functor class LuminanceOperator
-} // namespace functor
+} // namespace functor
class ContrastEnhancement : public Application
{
@@ -127,9 +125,7 @@ public:
typedef otb::StreamingStatisticsImageFilter < FloatImageType >
StatsFilterType;
- typedef otb::FunctorImageFilter < Functor::LuminanceOperator
- <FloatVectorImageType::PixelType, FloatVectorImageType::PixelType> >
- LuminanceFunctorType;
+ typedef otb::FunctorImageFilter<Functor::LuminanceOperator<FloatVectorImageType::PixelType, FloatVectorImageType::PixelType>> LuminanceFunctorType;
typedef itk::StreamingImageFilter < LutType , LutType >
StreamingImageFilterType;
@@ -705,8 +701,8 @@ private:
lumCoef[i] /= sum;
}
m_LuminanceFunctor = LuminanceFunctorType::New() ;
- m_LuminanceFunctor->GetModifiableFunctor().SetRgb( rgb );
- m_LuminanceFunctor->GetModifiableFunctor().SetLumCoef( lumCoef );
+ m_LuminanceFunctor->GetModifiableFunctor().SetRgb(rgb);
+ m_LuminanceFunctor->GetModifiableFunctor().SetLumCoef(lumCoef);
m_LuminanceFunctor->SetInput( inImage );
m_LuminanceFunctor->UpdateOutputInformation();
}
diff --git a/Modules/Applications/AppImageUtils/app/otbColorMapping.cxx b/Modules/Applications/AppImageUtils/app/otbColorMapping.cxx
index b34512b1cc5ece6abd394e5dfb250308807deff5..e2078b324c452888e803dbb950ad7a3fe6f7dac6 100644
--- a/Modules/Applications/AppImageUtils/app/otbColorMapping.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbColorMapping.cxx
@@ -92,8 +92,8 @@ public:
{
m_OutputSize = nb;
}
-
- size_t OutputSize(const std::array<size_t,1> & ) const
+
+ size_t OutputSize(const std::array<size_t, 1>&) const
{
return m_OutputSize;
}
@@ -224,9 +224,7 @@ public:
StreamingStatisticsMapFromLabelImageFilterType;
// Inverse mapper for color->label operation
- typedef otb::FunctorImageFilter
- <Functor::VectorMapping
- <RGBPixelType, LabelVectorType> > ColorToLabelFilterType;
+ typedef otb::FunctorImageFilter<Functor::VectorMapping<RGBPixelType, LabelVectorType>> ColorToLabelFilterType;
// Streaming the input image for color->label operation
typedef RGBImageType::RegionType RegionType;
diff --git a/Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx b/Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx
index 8f39edc15f6d2414cbc5659dcbbbe75df4106053..dcc25d7101c02f9a879009032c1640d2a03f8c11 100644
--- a/Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx
+++ b/Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx
@@ -43,11 +43,11 @@ public:
typedef std::vector<TOutput> ColorListType;
- size_t OutputSize(const std::array<size_t,1> &) const
+ size_t OutputSize(const std::array<size_t, 1>&) const
{
return 3;
}
-
+
void AddColor(const TOutput& color)
{
m_ScoreColors.push_back(color);
@@ -124,9 +124,7 @@ public:
typedef otb::HooverInstanceFilter<LabelMapType> InstanceFilterType;
typedef otb::LabelMapToAttributeImageFilter
<LabelMapType, FloatVectorImageType> AttributeImageFilterType;
- typedef otb::FunctorImageFilter
- <Functor::HooverColorMapping
- <FloatPixelType, Int16PixelType> > HooverColorFilterType;
+ typedef otb::FunctorImageFilter<Functor::HooverColorMapping<FloatPixelType, Int16PixelType>> HooverColorFilterType;
private:
void DoInit() override
diff --git a/Modules/Core/Functor/include/otbDotProductImageFilter.h b/Modules/Core/Functor/include/otbDotProductImageFilter.h
index 471787a8fd0280510f22c00f10056ab60ee36155..57af72b6e9f28a52d38d522f131c2e7529f09899 100644
--- a/Modules/Core/Functor/include/otbDotProductImageFilter.h
+++ b/Modules/Core/Functor/include/otbDotProductImageFilter.h
@@ -27,7 +27,8 @@
namespace otb
{
-namespace Functor {
+namespace Functor
+{
/** \class DotProductFunctor
*
@@ -35,14 +36,14 @@ namespace Functor {
*
* \ingroup OTBCommon
*/
-template<class TInput, class TOutput>
+template <class TInput, class TOutput>
class DotProductFunctor
{
public:
- typedef TInput InputType;
- typedef TOutput OutputType;
+ typedef TInput InputType;
+ typedef TOutput OutputType;
- DotProductFunctor() = default;
+ DotProductFunctor() = default;
virtual ~DotProductFunctor() = default;
const InputType& GetVector()
@@ -55,14 +56,14 @@ public:
m_Vector = m;
}
- OutputType operator ()(const InputType& in)
+ OutputType operator()(const InputType& in)
{
assert(in.Size() == m.Size());
OutputType result = 0;
- for(unsigned int i = 0; i < in.Size(); ++i)
- {
+ for (unsigned int i = 0; i < in.Size(); ++i)
+ {
result += in[i] * m_Vector[i];
- }
+ }
return result;
}
@@ -79,15 +80,14 @@ private:
* with respect to the specified vector
*
* \sa otb::Functor::DotProductFunctor
- *
+ *
* \ingroup Streamed
* \ingroup Threaded
*
* \ingroup OTBFunctor
*/
template <typename TInputImage, typename TOutputImage>
-using DotProductImageFilter = FunctorImageFilter<
- Functor::DotProductFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType> >;
+using DotProductImageFilter = FunctorImageFilter<Functor::DotProductFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType>>;
} // namespace otb
#endif
diff --git a/Modules/Filtering/Projection/include/otbProjectiveProjectionImageFilter.h b/Modules/Filtering/Projection/include/otbProjectiveProjectionImageFilter.h
index 8eeaf539b2858f0add4837138b404511b29bfe84..8734cbfc6ac8c67780a8c20e2d1383d3c5da0d24 100644
--- a/Modules/Filtering/Projection/include/otbProjectiveProjectionImageFilter.h
+++ b/Modules/Filtering/Projection/include/otbProjectiveProjectionImageFilter.h
@@ -48,13 +48,13 @@ public:
ProjectiveProjectionFunctor() : m_OutputSize(0) {}
virtual ~ProjectiveProjectionFunctor() {}
- size_t OutputSize(const std::array<size_t,1> & nbBands) const;
+ size_t OutputSize(const std::array<size_t, 1>& nbBands) const;
const InputType& GetProjectionDirection();
void SetProjectionDirection(const InputType& p);
- OutputType operator ()(const InputType& in);
+ OutputType operator()(const InputType& in);
private:
unsigned int m_OutputSize;
@@ -72,9 +72,8 @@ private:
* \ingroup OTBProjection
*/
template <typename TInputImage, typename TOutputImage, typename TPrecision>
-using ProjectiveProjectionImageFilter = FunctorImageFilter<
- Functor::ProjectiveProjectionFunctor<typename TInputImage::PixelType,
- typename TOutputImage::PixelType, TPrecision> >;
+using ProjectiveProjectionImageFilter =
+ FunctorImageFilter<Functor::ProjectiveProjectionFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType, TPrecision>>;
} // end namespace otb
diff --git a/Modules/Hyperspectral/Unmixing/include/otbISRAUnmixingImageFilter.h b/Modules/Hyperspectral/Unmixing/include/otbISRAUnmixingImageFilter.h
index 3306472785a8859fdd18a2626863d22e730ac816..9ab74bfde39ce562daafa25af5ba81be74a0111c 100644
--- a/Modules/Hyperspectral/Unmixing/include/otbISRAUnmixingImageFilter.h
+++ b/Modules/Hyperspectral/Unmixing/include/otbISRAUnmixingImageFilter.h
@@ -36,7 +36,7 @@ namespace Functor {
* \brief Perform fully constrained least squares on a pixel
*
* \sa ISRAUnmixingImageFilter
- *
+ *
* \ingroup OTBUnmixing
*/
template<class TInput, class TOutput, class TPrecision>
@@ -53,9 +53,9 @@ public:
typedef vnl_matrix<PrecisionType> MatrixType;
ISRAUnmixingFunctor();
- virtual ~ISRAUnmixingFunctor() =default;
+ virtual ~ISRAUnmixingFunctor() = default;
- size_t OutputSize(const std::array<size_t,1> & nbBands) const;
+ size_t OutputSize(const std::array<size_t, 1>& nbBands) const;
void SetEndmembersMatrix(const MatrixType& U);
const MatrixType& GetEndmembersMatrix(void) const;
@@ -116,9 +116,7 @@ private:
* \ingroup OTBUnmixing
*/
template <typename TInputImage, typename TOutputImage, typename TPrecision>
-using ISRAUnmixingImageFilter = FunctorImageFilter<
- Functor::ISRAUnmixingFunctor<typename TInputImage::PixelType,
- typename TOutputImage::PixelType, TPrecision> >;
+using ISRAUnmixingImageFilter = FunctorImageFilter<Functor::ISRAUnmixingFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType, TPrecision>>;
} // end namespace otb
diff --git a/Modules/Hyperspectral/Unmixing/include/otbNCLSUnmixingImageFilter.h b/Modules/Hyperspectral/Unmixing/include/otbNCLSUnmixingImageFilter.h
index 28afc9d914592542f5955712ed09b6aeb64b29d9..aa3ef08ce40742422f2a3db3e12875be8ad46fe1 100644
--- a/Modules/Hyperspectral/Unmixing/include/otbNCLSUnmixingImageFilter.h
+++ b/Modules/Hyperspectral/Unmixing/include/otbNCLSUnmixingImageFilter.h
@@ -56,7 +56,7 @@ public:
NCLSUnmixingFunctor();
virtual ~NCLSUnmixingFunctor() = default;
- size_t OutputSize(const std::array<size_t,1> & nbBands) const;
+ size_t OutputSize(const std::array<size_t, 1>& nbBands) const;
void SetEndmembersMatrix(const MatrixType& U);
const MatrixType& GetEndmembersMatrix(void) const;
@@ -119,9 +119,7 @@ private:
* \ingroup OTBUnmixing
*/
template <typename TInputImage, typename TOutputImage, typename TPrecision>
-using NCLSUnmixingImageFilter = FunctorImageFilter<
- Functor::NCLSUnmixingFunctor<typename TInputImage::PixelType,
- typename TOutputImage::PixelType, TPrecision> >;
+using NCLSUnmixingImageFilter = FunctorImageFilter<Functor::NCLSUnmixingFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType, TPrecision>>;
} // end namespace otb
diff --git a/Modules/Hyperspectral/Unmixing/include/otbUnConstrainedLeastSquareImageFilter.h b/Modules/Hyperspectral/Unmixing/include/otbUnConstrainedLeastSquareImageFilter.h
index 82d541808c4745a271ebb3f78e0b1c28cb242019..ae57d18a5b2df21e48401d0c6a33d7b0c530f219 100644
--- a/Modules/Hyperspectral/Unmixing/include/otbUnConstrainedLeastSquareImageFilter.h
+++ b/Modules/Hyperspectral/Unmixing/include/otbUnConstrainedLeastSquareImageFilter.h
@@ -50,14 +50,14 @@ public:
typedef vnl_vector<PrecisionType> VectorType;
typedef vnl_matrix<PrecisionType> MatrixType;
- UnConstrainedLeastSquareFunctor() : m_OutputSize(0) {};
+ UnConstrainedLeastSquareFunctor() : m_OutputSize(0){};
virtual ~UnConstrainedLeastSquareFunctor() = default;
- size_t OutputSize(const std::array<size_t,1> & nbBands) const;
+ size_t OutputSize(const std::array<size_t, 1>& nbBands) const;
void SetMatrix(const MatrixType& m);
- OutputType operator ()(const InputType& in) const;
+ OutputType operator()(const InputType& in) const;
private:
@@ -92,9 +92,8 @@ private:
* \ingroup OTBUnmixing
*/
template <typename TInputImage, typename TOutputImage, typename TPrecision>
-using UnConstrainedLeastSquareImageFilter = FunctorImageFilter<
- Functor::UnConstrainedLeastSquareFunctor<typename TInputImage::PixelType,
- typename TOutputImage::PixelType, TPrecision> >;
+using UnConstrainedLeastSquareImageFilter =
+ FunctorImageFilter<Functor::UnConstrainedLeastSquareFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType, TPrecision>>;
} // end namespace otb