From 3ab7ac97bbc741ded3762406182c309f7d007b47 Mon Sep 17 00:00:00 2001
From: Emmanuel Christophe <emmanuel.christophe@orfeo-toolbox.org>
Date: Wed, 11 Mar 2009 16:53:24 +0800
Subject: [PATCH] STYLE: no space before ;
---
.../BayesianPluginClassifier.cxx | 16 +++++++-------
...ationMaximizationMixtureModelEstimator.cxx | 10 ++++-----
.../KdTreeBasedKMeansClustering.cxx | 10 ++++-----
.../ScalarImageKmeansClassifier.cxx | 2 +-
.../ScalarImageKmeansModelEstimator.cxx | 2 +-
Examples/DataRepresentation/Image/Image5.cxx | 2 +-
Examples/DataRepresentation/Image/Image6.cxx | 2 +-
.../InnerProductPCAExample.cxx | 2 +-
.../RightAngleDetectionExample.cxx | 2 +-
Examples/FeatureExtraction/SIFTExample.cxx | 2 +-
.../FeatureExtraction/SIFTFastExample.cxx | 2 +-
Examples/FeatureExtraction/SURFExample.cxx | 2 +-
Examples/IO/ImageSeriesIOExample.cxx | 2 +-
Examples/IO/MetadataExample.cxx | 12 +++++-----
Examples/IO/VectorDataIOExample.cxx | 2 +-
.../Learning/SEMModelEstimatorExample.cxx | 6 ++---
Examples/Learning/SOMClassifierExample.cxx | 8 +++----
Examples/Learning/SOMExample.cxx | 2 +-
...enericKernelImageClassificationExample.cxx | 20 ++++++++---------
.../SVMImageClassificationExample.cxx | 22 +++++++++----------
...ageEstimatorClassificationMultiExample.cxx | 20 ++++++++---------
.../SVMPointSetClassificationExample.cxx | 18 +++++++--------
Examples/Learning/SVMPointSetExample.cxx | 18 +++++++--------
.../Projections/OrthoRectificationExample.cxx | 4 ++--
.../AtmosphericCorrectionSequencement.cxx | 8 +++----
Examples/Tutorials/OrthoFusion.cxx | 4 ++--
26 files changed, 100 insertions(+), 100 deletions(-)
diff --git a/Examples/Classification/BayesianPluginClassifier.cxx b/Examples/Classification/BayesianPluginClassifier.cxx
index 01c98617f3..2db1482995 100644
--- a/Examples/Classification/BayesianPluginClassifier.cxx
+++ b/Examples/Classification/BayesianPluginClassifier.cxx
@@ -127,7 +127,7 @@ int main( int, char *[])
typedef itk::Statistics::Subsample< SampleType > ClassSampleType;
std::vector< ClassSampleType::Pointer > classSamples;
- for ( unsigned int i = 0 ; i < 2 ; ++i )
+ for ( unsigned int i = 0; i < 2; ++i )
{
classSamples.push_back( ClassSampleType::New() );
classSamples[i]->SetSample( sample );
@@ -163,7 +163,7 @@ int main( int, char *[])
double mean = 100;
double standardDeviation = 30;
SampleType::InstanceIdentifier id = 0UL;
- for ( unsigned int i = 0 ; i < 100 ; ++i )
+ for ( unsigned int i = 0; i < 100; ++i )
{
mv.Fill( (normalGenerator->GetVariate() * standardDeviation ) + mean);
sample->PushBack( mv );
@@ -174,7 +174,7 @@ int main( int, char *[])
normalGenerator->Initialize( 3024 );
mean = 200;
standardDeviation = 30;
- for ( unsigned int i = 0 ; i < 100 ; ++i )
+ for ( unsigned int i = 0; i < 100; ++i )
{
mv.Fill( (normalGenerator->GetVariate() * standardDeviation ) + mean);
sample->PushBack( mv );
@@ -201,7 +201,7 @@ int main( int, char *[])
std::vector< MeanEstimatorType::Pointer > meanEstimators;
std::vector< CovarianceEstimatorType::Pointer > covarianceEstimators;
- for ( unsigned int i = 0 ; i < 2 ; ++i )
+ for ( unsigned int i = 0; i < 2; ++i )
{
meanEstimators.push_back( MeanEstimatorType::New() );
meanEstimators[i]->SetInputSample( classSamples[i] );
@@ -221,7 +221,7 @@ int main( int, char *[])
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
- for ( unsigned int i = 0 ; i < 2 ; ++i )
+ for ( unsigned int i = 0; i < 2; ++i )
{
std::cout << "class[" << i << "] " << std::endl;
std::cout << " estimated mean : "
@@ -267,9 +267,9 @@ int main( int, char *[])
DecisionRuleType::APrioriVectorType aPrioris;
aPrioris.push_back( classSamples[0]->GetTotalFrequency()
- / sample->GetTotalFrequency() ) ;
+ / sample->GetTotalFrequency() );
aPrioris.push_back( classSamples[1]->GetTotalFrequency()
- / sample->GetTotalFrequency() ) ;
+ / sample->GetTotalFrequency() );
decisionRule->SetAPriori( aPrioris );
typedef itk::Statistics::SampleClassifier< SampleType > ClassifierType;
@@ -303,7 +303,7 @@ int main( int, char *[])
// Software Guide : BeginCodeSnippet
std::vector< MembershipFunctionType::Pointer > membershipFunctions;
- for ( unsigned int i = 0 ; i < 2 ; i++ )
+ for ( unsigned int i = 0; i < 2; i++ )
{
membershipFunctions.push_back(MembershipFunctionType::New());
membershipFunctions[i]->SetMean( meanEstimators[i]->GetOutput() );
diff --git a/Examples/Classification/ExpectationMaximizationMixtureModelEstimator.cxx b/Examples/Classification/ExpectationMaximizationMixtureModelEstimator.cxx
index 13bdc76223..e96d063bf7 100644
--- a/Examples/Classification/ExpectationMaximizationMixtureModelEstimator.cxx
+++ b/Examples/Classification/ExpectationMaximizationMixtureModelEstimator.cxx
@@ -160,7 +160,7 @@ int main()
MeasurementVectorType mv;
double mean = 100;
double standardDeviation = 30;
- for ( unsigned int i = 0 ; i < 100 ; ++i )
+ for ( unsigned int i = 0; i < 100; ++i )
{
mv[0] = ( normalGenerator->GetVariate() * standardDeviation ) + mean;
sample->PushBack( mv );
@@ -169,7 +169,7 @@ int main()
normalGenerator->Initialize( 3024 );
mean = 200;
standardDeviation = 30;
- for ( unsigned int i = 0 ; i < 100 ; ++i )
+ for ( unsigned int i = 0; i < 100; ++i )
{
mv[0] = ( normalGenerator->GetVariate() * standardDeviation ) + mean;
sample->PushBack( mv );
@@ -203,7 +203,7 @@ int main()
ComponentType;
std::vector< ComponentType::Pointer > components;
- for ( unsigned int i = 0 ; i < numberOfClasses ; i++ )
+ for ( unsigned int i = 0; i < numberOfClasses; i++ )
{
components.push_back( ComponentType::New() );
(components[i])->SetSample( sample );
@@ -231,7 +231,7 @@ int main()
estimator->SetInitialProportions( initialProportions );
- for ( unsigned int i = 0 ; i < numberOfClasses ; i++)
+ for ( unsigned int i = 0; i < numberOfClasses; i++)
{
estimator->AddComponent( (ComponentType::Superclass*)
(components[i]).GetPointer() );
@@ -247,7 +247,7 @@ int main()
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
- for ( unsigned int i = 0 ; i < numberOfClasses ; i++ )
+ for ( unsigned int i = 0; i < numberOfClasses; i++ )
{
std::cout << "Cluster[" << i << "]" << std::endl;
std::cout << " Parameters:" << std::endl;
diff --git a/Examples/Classification/KdTreeBasedKMeansClustering.cxx b/Examples/Classification/KdTreeBasedKMeansClustering.cxx
index 6c12bb7e44..6412f51cf7 100644
--- a/Examples/Classification/KdTreeBasedKMeansClustering.cxx
+++ b/Examples/Classification/KdTreeBasedKMeansClustering.cxx
@@ -184,7 +184,7 @@ int main()
MeasurementVectorType mv;
double mean = 100;
double standardDeviation = 30;
- for ( unsigned int i = 0 ; i < 100 ; ++i )
+ for ( unsigned int i = 0; i < 100; ++i )
{
mv[0] = ( normalGenerator->GetVariate() * standardDeviation ) + mean;
sample->PushBack( mv );
@@ -193,7 +193,7 @@ int main()
normalGenerator->Initialize( 3024 );
mean = 200;
standardDeviation = 30;
- for ( unsigned int i = 0 ; i < 100 ; ++i )
+ for ( unsigned int i = 0; i < 100; ++i )
{
mv[0] = ( normalGenerator->GetVariate() * standardDeviation ) + mean;
sample->PushBack( mv );
@@ -263,7 +263,7 @@ int main()
EstimatorType::ParametersType estimatedMeans = estimator->GetParameters();
- for ( unsigned int i = 0 ; i < 2 ; ++i )
+ for ( unsigned int i = 0; i < 2; ++i )
{
std::cout << "cluster[" << i << "] " << std::endl;
std::cout << " estimated mean : " << estimatedMeans[i] << std::endl;
@@ -339,10 +339,10 @@ int main()
std::vector< MembershipFunctionType::Pointer > membershipFunctions;
MembershipFunctionType::OriginType origin( sample->GetMeasurementVectorSize() );
int index = 0;
- for ( unsigned int i = 0 ; i < 2 ; i++ )
+ for ( unsigned int i = 0; i < 2; i++ )
{
membershipFunctions.push_back( MembershipFunctionType::New() );
- for ( unsigned int j = 0 ; j < sample->GetMeasurementVectorSize(); j++ )
+ for ( unsigned int j = 0; j < sample->GetMeasurementVectorSize(); j++ )
{
origin[j] = estimatedMeans[index++];
}
diff --git a/Examples/Classification/ScalarImageKmeansClassifier.cxx b/Examples/Classification/ScalarImageKmeansClassifier.cxx
index cf33eda775..8250acb696 100644
--- a/Examples/Classification/ScalarImageKmeansClassifier.cxx
+++ b/Examples/Classification/ScalarImageKmeansClassifier.cxx
@@ -231,7 +231,7 @@ int main( int argc, char * argv [] )
const unsigned int numberOfClasses = estimatedMeans.Size();
- for ( unsigned int i = 0 ; i < numberOfClasses ; ++i )
+ for ( unsigned int i = 0; i < numberOfClasses; ++i )
{
std::cout << "cluster[" << i << "] ";
std::cout << " estimated mean : " << estimatedMeans[i] << std::endl;
diff --git a/Examples/Classification/ScalarImageKmeansModelEstimator.cxx b/Examples/Classification/ScalarImageKmeansModelEstimator.cxx
index b5635b2d59..563eca63e1 100644
--- a/Examples/Classification/ScalarImageKmeansModelEstimator.cxx
+++ b/Examples/Classification/ScalarImageKmeansModelEstimator.cxx
@@ -136,7 +136,7 @@ int main( int argc, char * argv [] )
EstimatorType::ParametersType estimatedMeans = estimator->GetParameters();
- for ( unsigned int i = 0 ; i < numberOfClasses ; ++i )
+ for ( unsigned int i = 0; i < numberOfClasses; ++i )
{
std::cout << "cluster[" << i << "] " << std::endl;
std::cout << " estimated mean : " << estimatedMeans[i] << std::endl;
diff --git a/Examples/DataRepresentation/Image/Image5.cxx b/Examples/DataRepresentation/Image/Image5.cxx
index 52b036e28c..55096271cf 100644
--- a/Examples/DataRepresentation/Image/Image5.cxx
+++ b/Examples/DataRepresentation/Image/Image5.cxx
@@ -210,7 +210,7 @@ int main(int argc, char * argv[])
for (unsigned int x=0; x < size[0]; x++)
{
const double dx = static_cast<double>( x ) - static_cast<double>(size[0])/2.0;
- const double d2 = dx*dx + dy*dy ;
+ const double d2 = dx*dx + dy*dy;
*it++ = ( d2 < radius2 ) ? 255 : 0;
}
}
diff --git a/Examples/DataRepresentation/Image/Image6.cxx b/Examples/DataRepresentation/Image/Image6.cxx
index e8897c49c9..78c47a9d5b 100644
--- a/Examples/DataRepresentation/Image/Image6.cxx
+++ b/Examples/DataRepresentation/Image/Image6.cxx
@@ -217,7 +217,7 @@ int main(int argc, char * argv[])
for (unsigned int x=0; x < size[0]; x++)
{
const double dx = static_cast<double>( x ) - static_cast<double>(size[0])/2.0;
- const double d2 = dx*dx + dy*dy ;
+ const double d2 = dx*dx + dy*dy;
PixelType pTmp = ( d2 < radius2 ) ? 255 : 0;
for (unsigned int nbBandsTmp=0; nbBandsTmp<numberOfBands; nbBandsTmp++)
*it++ = pTmp;
diff --git a/Examples/FeatureExtraction/InnerProductPCAExample.cxx b/Examples/FeatureExtraction/InnerProductPCAExample.cxx
index 008e4bf643..602692b729 100644
--- a/Examples/FeatureExtraction/InnerProductPCAExample.cxx
+++ b/Examples/FeatureExtraction/InnerProductPCAExample.cxx
@@ -161,7 +161,7 @@ int main( int argc, char* argv[] )
typedef otb::ImageFileWriter< OutputImageType > WriterType2;
typedef itk::RescaleIntensityImageFilter< MonoImageType, OutputImageType> RescalerType;
- for(unsigned int cpt=0 ; cpt < numberOfPrincipalComponentsRequired ; cpt++)
+ for(unsigned int cpt=0; cpt < numberOfPrincipalComponentsRequired; cpt++)
{
ExtractROIFilterType::Pointer extractROIFilter = ExtractROIFilterType::New();
RescalerType::Pointer rescaler = RescalerType::New();
diff --git a/Examples/FeatureExtraction/RightAngleDetectionExample.cxx b/Examples/FeatureExtraction/RightAngleDetectionExample.cxx
index f69574a16b..c4a3e7e502 100644
--- a/Examples/FeatureExtraction/RightAngleDetectionExample.cxx
+++ b/Examples/FeatureExtraction/RightAngleDetectionExample.cxx
@@ -183,7 +183,7 @@ int main( int argc, char * argv[] )
LineVectorType outputVectorLines;
LinesListType::Pointer outputLinesList = LinesListType::New();
- for (unsigned int i = 0; i<segmentOrtho->GetNumberOfPoints() ; i++)
+ for (unsigned int i = 0; i<segmentOrtho->GetNumberOfPoints(); i++)
{
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
diff --git a/Examples/FeatureExtraction/SIFTExample.cxx b/Examples/FeatureExtraction/SIFTExample.cxx
index 7bc9598d18..b84ee8955c 100644
--- a/Examples/FeatureExtraction/SIFTExample.cxx
+++ b/Examples/FeatureExtraction/SIFTExample.cxx
@@ -79,7 +79,7 @@ int main(int argc, char * argv[])
{
if (argc != 8)
{
- std::cerr << "Usage: " << argv[0] ;
+ std::cerr << "Usage: " << argv[0];
std::cerr << " InputImage OutputImage OutputSIFTFile octaves scales threshold ratio" << std::endl;
return 1;
}
diff --git a/Examples/FeatureExtraction/SIFTFastExample.cxx b/Examples/FeatureExtraction/SIFTFastExample.cxx
index 95ef738d68..12f65deddb 100644
--- a/Examples/FeatureExtraction/SIFTFastExample.cxx
+++ b/Examples/FeatureExtraction/SIFTFastExample.cxx
@@ -57,7 +57,7 @@ int main(int argc, char * argv[])
{
if (argc != 4)
{
- std::cerr << "Usage: " << argv[0] ;
+ std::cerr << "Usage: " << argv[0];
std::cerr << " InputImage OutputImage scales" << std::endl;
return 1;
}
diff --git a/Examples/FeatureExtraction/SURFExample.cxx b/Examples/FeatureExtraction/SURFExample.cxx
index f2f668915d..5747801b4a 100644
--- a/Examples/FeatureExtraction/SURFExample.cxx
+++ b/Examples/FeatureExtraction/SURFExample.cxx
@@ -53,7 +53,7 @@ int main(int argc, char * argv[])
{
if (argc != 5)
{
- std::cerr << "Usage: " << argv[0] ;
+ std::cerr << "Usage: " << argv[0];
std::cerr << " InputImage OutputImage octaves scales" << std::endl;
return 1;
}
diff --git a/Examples/IO/ImageSeriesIOExample.cxx b/Examples/IO/ImageSeriesIOExample.cxx
index 014886ded5..3dc6cb69d7 100644
--- a/Examples/IO/ImageSeriesIOExample.cxx
+++ b/Examples/IO/ImageSeriesIOExample.cxx
@@ -58,7 +58,7 @@ int main(int argc, char** argv)
{
if (argc < 4 )
{
- std::cerr << "Usage: " << argv[0] ;
+ std::cerr << "Usage: " << argv[0];
std::cerr << "outputImage image1 image2 ... " << std::endl;
}
diff --git a/Examples/IO/MetadataExample.cxx b/Examples/IO/MetadataExample.cxx
index 32a99cb880..d890592e53 100644
--- a/Examples/IO/MetadataExample.cxx
+++ b/Examples/IO/MetadataExample.cxx
@@ -145,7 +145,7 @@ int main(int argc, char* argv[])
// SoftwareGuide: BeginCodeSnippet
- for (unsigned int GCPnum = 0 ; GCPnum < GCPCount ; GCPnum++ )
+ for (unsigned int GCPnum = 0; GCPnum < GCPCount; GCPnum++ )
{
file << "GCP[" << GCPnum << "] Id " << image->GetGCPId(GCPnum) << std::endl;
file << "GCP[" << GCPnum << "] Info " << image->GetGCPInfo(GCPnum) << std::endl;
@@ -170,7 +170,7 @@ int main(int argc, char* argv[])
InputImageType::VectorType tab = image->GetGeoTransform();
file << "Geo Transform " << std::endl;
- for (unsigned int i = 0 ; i < tab.size() ; i++ )
+ for (unsigned int i = 0; i < tab.size(); i++ )
{
file << " " <<i<<" -> "<<tab[i]<< std::endl;
}
@@ -178,28 +178,28 @@ int main(int argc, char* argv[])
tab = image->GetUpperLeftCorner();
file << "Corners " << std::endl;
- for (unsigned int i = 0 ; i < tab.size() ; i++ )
+ for (unsigned int i = 0; i < tab.size(); i++ )
{
file << " UL[" <<i<<"] -> "<<tab[i]<< std::endl;
}
tab.clear();
tab = image->GetUpperRightCorner();
- for (unsigned int i = 0 ; i < tab.size() ; i++ )
+ for (unsigned int i = 0; i < tab.size(); i++ )
{
file << " UR[" <<i<<"] -> "<<tab[i]<< std::endl;
}
tab.clear();
tab = image->GetLowerLeftCorner();
- for (unsigned int i = 0 ; i < tab.size() ; i++ )
+ for (unsigned int i = 0; i < tab.size(); i++ )
{
file << " LL[" <<i<<"] -> "<<tab[i]<< std::endl;
}
tab.clear();
tab = image->GetLowerRightCorner();
- for (unsigned int i = 0 ; i < tab.size() ; i++ )
+ for (unsigned int i = 0; i < tab.size(); i++ )
{
file << " LR[" <<i<<"] -> "<<tab[i]<< std::endl;
}
diff --git a/Examples/IO/VectorDataIOExample.cxx b/Examples/IO/VectorDataIOExample.cxx
index 9ae8e02c3f..f2476d806c 100644
--- a/Examples/IO/VectorDataIOExample.cxx
+++ b/Examples/IO/VectorDataIOExample.cxx
@@ -68,7 +68,7 @@ int main(int argc, char * argv[])
if ( argc != 3 )
{
- std::cerr << "Usage: " << argv[0] ;
+ std::cerr << "Usage: " << argv[0];
std::cerr << "inputFile outputFile" << std::endl;
return EXIT_FAILURE;
}
diff --git a/Examples/Learning/SEMModelEstimatorExample.cxx b/Examples/Learning/SEMModelEstimatorExample.cxx
index a2748e3b7f..4c86b83e1e 100644
--- a/Examples/Learning/SEMModelEstimatorExample.cxx
+++ b/Examples/Learning/SEMModelEstimatorExample.cxx
@@ -78,7 +78,7 @@ int main ( int argc, char * argv[] )
std::cerr << "Unsupervised Image Segmentation with SEM approach\n";
std::cerr << argv[0] << " imageIn imgClassif num_of_class ";
std::cerr << "nbIteration size_of_the_neighborhood\n";
- return EXIT_FAILURE ;
+ return EXIT_FAILURE;
}
// Software Guide : BeginLatex
@@ -131,7 +131,7 @@ int main ( int argc, char * argv[] )
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
- classifier->SetNumberOfClasses( numberOfClasses ) ;
+ classifier->SetNumberOfClasses( numberOfClasses );
classifier->SetMaximumIteration( numberOfIteration );
classifier->SetNeighborhood( neighborhood );
classifier->SetTerminationThreshold( terminationThreshold );
@@ -187,7 +187,7 @@ int main ( int argc, char * argv[] )
// Software Guide : BeginCodeSnippet
try
{
- classifier->Update() ;
+ classifier->Update();
}
// Software Guide : EndCodeSnippet
diff --git a/Examples/Learning/SOMClassifierExample.cxx b/Examples/Learning/SOMClassifierExample.cxx
index ed4cf46df7..3f78951e19 100644
--- a/Examples/Learning/SOMClassifierExample.cxx
+++ b/Examples/Learning/SOMClassifierExample.cxx
@@ -61,7 +61,7 @@ int main(int argc, char* argv[] )
if (argc != 4)
{
std::cout << "Usage : " << argv[0] << " inputImage modelFile outputImage"
- << std::endl ;
+ << std::endl;
return EXIT_FAILURE;
}
@@ -184,10 +184,10 @@ int main(int argc, char* argv[] )
// Software Guide : BeginCodeSnippet
- ClassifierType::Pointer classifier = ClassifierType::New() ;
+ ClassifierType::Pointer classifier = ClassifierType::New();
classifier->SetSample(sample.GetPointer());
classifier->SetMap(somreader->GetOutput());
- classifier->Update() ;
+ classifier->Update();
// Software Guide : EndCodeSnippet
//
@@ -264,7 +264,7 @@ int main(int argc, char* argv[] )
while (m_iter != m_last && !outIt.IsAtEnd())
{
outIt.Set(m_iter.GetClassLabel());
- ++m_iter ;
+ ++m_iter;
++outIt;
}
diff --git a/Examples/Learning/SOMExample.cxx b/Examples/Learning/SOMExample.cxx
index 7a64a59fe6..cc1812ed0a 100644
--- a/Examples/Learning/SOMExample.cxx
+++ b/Examples/Learning/SOMExample.cxx
@@ -9,7 +9,7 @@
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
- Copyright (c) Institut Telecom ; Telecom Bretagne. All rights reserved.
+ Copyright (c) Institut Telecom; Telecom Bretagne. All rights reserved.
See GETCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
diff --git a/Examples/Learning/SVMGenericKernelImageClassificationExample.cxx b/Examples/Learning/SVMGenericKernelImageClassificationExample.cxx
index c4b9c35c3a..b63ecef8c0 100644
--- a/Examples/Learning/SVMGenericKernelImageClassificationExample.cxx
+++ b/Examples/Learning/SVMGenericKernelImageClassificationExample.cxx
@@ -60,7 +60,7 @@ int main(int argc, char* argv[] )
if (argc != 4)
{
std::cout << "Usage : " << argv[0]
- << " inputImage outputImage modelFile " << std::endl ;
+ << " inputImage outputImage modelFile " << std::endl;
return EXIT_FAILURE;
}
@@ -129,14 +129,14 @@ int main(int argc, char* argv[] )
model->LoadModel( modelFilename );
// Software Guide : EndCodeSnippet
- typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType ;
- ClassifierType::Pointer classifier = ClassifierType::New() ;
+ typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType;
+ ClassifierType::Pointer classifier = ClassifierType::New();
int numberOfClasses = model->GetNumberOfClasses();
- classifier->SetNumberOfClasses(numberOfClasses) ;
+ classifier->SetNumberOfClasses(numberOfClasses);
classifier->SetModel( model );
- classifier->SetSample(sample.GetPointer()) ;
- classifier->Update() ;
+ classifier->SetSample(sample.GetPointer());
+ classifier->Update();
typedef ClassifierType::ClassLabelType OutputPixelType;
typedef otb::Image< OutputPixelType, Dimension > OutputImageType;
@@ -163,11 +163,11 @@ int main(int argc, char* argv[] )
outputImage->Allocate();
ClassifierType::OutputType* membershipSample =
- classifier->GetOutput() ;
+ classifier->GetOutput();
ClassifierType::OutputType::ConstIterator m_iter =
- membershipSample->Begin() ;
+ membershipSample->Begin();
ClassifierType::OutputType::ConstIterator m_last =
- membershipSample->End() ;
+ membershipSample->End();
typedef itk::ImageRegionIterator< OutputImageType> OutputIteratorType;
OutputIteratorType outIt( outputImage,
@@ -179,7 +179,7 @@ int main(int argc, char* argv[] )
while (m_iter != m_last && !outIt.IsAtEnd())
{
outIt.Set(m_iter.GetClassLabel());
- ++m_iter ;
+ ++m_iter;
++outIt;
}
diff --git a/Examples/Learning/SVMImageClassificationExample.cxx b/Examples/Learning/SVMImageClassificationExample.cxx
index 66e6219eac..d127c208f3 100644
--- a/Examples/Learning/SVMImageClassificationExample.cxx
+++ b/Examples/Learning/SVMImageClassificationExample.cxx
@@ -67,12 +67,12 @@
int main(int argc, char* argv[] )
{
- namespace stat = itk::Statistics ;
+ namespace stat = itk::Statistics;
if (argc != 4)
{
std::cout << "Usage : " << argv[0] << " inputImage outputImage modelFile "
- << std::endl ;
+ << std::endl;
return EXIT_FAILURE;
}
@@ -213,9 +213,9 @@ int main(int argc, char* argv[] )
// Software Guide : BeginCodeSnippet
- typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType ;
+ typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType;
- ClassifierType::Pointer classifier = ClassifierType::New() ;
+ ClassifierType::Pointer classifier = ClassifierType::New();
// Software Guide : EndCodeSnippet
@@ -230,10 +230,10 @@ int main(int argc, char* argv[] )
// Software Guide : BeginCodeSnippet
int numberOfClasses = model->GetNumberOfClasses();
- classifier->SetNumberOfClasses(numberOfClasses) ;
+ classifier->SetNumberOfClasses(numberOfClasses);
classifier->SetModel( model );
- classifier->SetSample(sample.GetPointer()) ;
- classifier->Update() ;
+ classifier->SetSample(sample.GetPointer());
+ classifier->Update();
// Software Guide : EndCodeSnippet
@@ -303,11 +303,11 @@ int main(int argc, char* argv[] )
ClassifierType::OutputType* membershipSample =
- classifier->GetOutput() ;
+ classifier->GetOutput();
ClassifierType::OutputType::ConstIterator m_iter =
- membershipSample->Begin() ;
+ membershipSample->Begin();
ClassifierType::OutputType::ConstIterator m_last =
- membershipSample->End() ;
+ membershipSample->End();
typedef itk::ImageRegionIterator< OutputImageType> OutputIteratorType;
OutputIteratorType outIt( outputImage,
@@ -332,7 +332,7 @@ int main(int argc, char* argv[] )
while (m_iter != m_last && !outIt.IsAtEnd())
{
outIt.Set(m_iter.GetClassLabel());
- ++m_iter ;
+ ++m_iter;
++outIt;
}
diff --git a/Examples/Learning/SVMImageEstimatorClassificationMultiExample.cxx b/Examples/Learning/SVMImageEstimatorClassificationMultiExample.cxx
index fd880df31d..a19467c752 100644
--- a/Examples/Learning/SVMImageEstimatorClassificationMultiExample.cxx
+++ b/Examples/Learning/SVMImageEstimatorClassificationMultiExample.cxx
@@ -257,7 +257,7 @@ int main( int argc, char *argv[])
// Software Guide : BeginCodeSnippet
- typedef InputPixelType LabelPixelType ;
+ typedef InputPixelType LabelPixelType;
typedef otb::SVMModel< InputPixelType, LabelPixelType > ModelType;
@@ -277,9 +277,9 @@ int main( int argc, char *argv[])
// Software Guide : BeginCodeSnippet
- typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType ;
+ typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType;
- ClassifierType::Pointer classifier = ClassifierType::New() ;
+ ClassifierType::Pointer classifier = ClassifierType::New();
// Software Guide : EndCodeSnippet
@@ -293,10 +293,10 @@ int main( int argc, char *argv[])
// Software Guide : BeginCodeSnippet
int numberOfClasses = model->GetNumberOfClasses();
- classifier->SetNumberOfClasses(numberOfClasses) ;
+ classifier->SetNumberOfClasses(numberOfClasses);
classifier->SetModel( model );
- classifier->SetSample(sample.GetPointer()) ;
- classifier->Update() ;
+ classifier->SetSample(sample.GetPointer());
+ classifier->Update();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
@@ -364,11 +364,11 @@ int main( int argc, char *argv[])
ClassifierType::OutputType* membershipSample =
- classifier->GetOutput() ;
+ classifier->GetOutput();
ClassifierType::OutputType::ConstIterator m_iter =
- membershipSample->Begin() ;
+ membershipSample->Begin();
ClassifierType::OutputType::ConstIterator m_last =
- membershipSample->End() ;
+ membershipSample->End();
typedef itk::ImageRegionIterator< OutputImageType> OutputIteratorType;
OutputIteratorType outIt( outputImage,
@@ -392,7 +392,7 @@ int main( int argc, char *argv[])
while (m_iter != m_last && !outIt.IsAtEnd())
{
outIt.Set(m_iter.GetClassLabel());
- ++m_iter ;
+ ++m_iter;
++outIt;
}
std::cout << "---" << std::endl;
diff --git a/Examples/Learning/SVMPointSetClassificationExample.cxx b/Examples/Learning/SVMPointSetClassificationExample.cxx
index e6a4d7459c..85684b11d9 100644
--- a/Examples/Learning/SVMPointSetClassificationExample.cxx
+++ b/Examples/Learning/SVMPointSetClassificationExample.cxx
@@ -268,9 +268,9 @@ int main( int argc, char* argv[] )
- typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType ;
+ typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType;
- ClassifierType::Pointer classifier = ClassifierType::New() ;
+ ClassifierType::Pointer classifier = ClassifierType::New();
// Software Guide : EndCodeSnippet
@@ -285,10 +285,10 @@ int main( int argc, char* argv[] )
// Software Guide : BeginCodeSnippet
int numberOfClasses = model->GetNumberOfClasses();
- classifier->SetNumberOfClasses(numberOfClasses) ;
+ classifier->SetNumberOfClasses(numberOfClasses);
classifier->SetModel( model );
- classifier->SetSample(sample.GetPointer()) ;
- classifier->Update() ;
+ classifier->SetSample(sample.GetPointer());
+ classifier->Update();
// Software Guide : EndCodeSnippet
@@ -305,12 +305,12 @@ int main( int argc, char* argv[] )
ClassifierType::OutputType* membershipSample =
- classifier->GetOutput() ;
+ classifier->GetOutput();
ClassifierType::OutputType::ConstIterator m_iter =
- membershipSample->Begin() ;
+ membershipSample->Begin();
ClassifierType::OutputType::ConstIterator m_last =
- membershipSample->End() ;
+ membershipSample->End();
// Software Guide : EndCodeSnippet
@@ -370,7 +370,7 @@ int main( int argc, char* argv[] )
++pointId;
- ++m_iter ;
+ ++m_iter;
}
std::cout << "Error = " << error/pointId << " % " << std::endl;
diff --git a/Examples/Learning/SVMPointSetExample.cxx b/Examples/Learning/SVMPointSetExample.cxx
index 1a941a898a..3e9c5a6371 100644
--- a/Examples/Learning/SVMPointSetExample.cxx
+++ b/Examples/Learning/SVMPointSetExample.cxx
@@ -180,14 +180,14 @@ int main( int argc, char* argv[] )
std::cout << "Classification for " << numberOfClasses << " classes " << std::endl;
- typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType ;
+ typedef otb::SVMClassifier< SampleType, LabelPixelType > ClassifierType;
- ClassifierType::Pointer classifier = ClassifierType::New() ;
+ ClassifierType::Pointer classifier = ClassifierType::New();
- classifier->SetNumberOfClasses(numberOfClasses) ;
+ classifier->SetNumberOfClasses(numberOfClasses);
classifier->SetModel( model );
- classifier->SetSample(sample.GetPointer()) ;
- classifier->Update() ;
+ classifier->SetSample(sample.GetPointer());
+ classifier->Update();
/* Build the class map */
std::cout << "Output image creation" << std::endl;
@@ -195,12 +195,12 @@ int main( int argc, char* argv[] )
std::cout << "classifier get output" << std::endl;
ClassifierType::OutputType* membershipSample =
- classifier->GetOutput() ;
+ classifier->GetOutput();
std::cout << "Sample iterators" << std::endl;
ClassifierType::OutputType::ConstIterator m_iter =
- membershipSample->Begin() ;
+ membershipSample->Begin();
ClassifierType::OutputType::ConstIterator m_last =
- membershipSample->End() ;
+ membershipSample->End();
double error = 0.0;
@@ -228,7 +228,7 @@ int main( int argc, char* argv[] )
++pointId;
- ++m_iter ;
+ ++m_iter;
}
std::cout << "Error = " << error/pointId << std::endl;
diff --git a/Examples/Projections/OrthoRectificationExample.cxx b/Examples/Projections/OrthoRectificationExample.cxx
index 209d8cb18f..fefacda1a9 100644
--- a/Examples/Projections/OrthoRectificationExample.cxx
+++ b/Examples/Projections/OrthoRectificationExample.cxx
@@ -111,9 +111,9 @@ int main( int argc, char* argv[] )
- typedef otb::UtmInverseProjection utmMapProjectionType ;
+ typedef otb::UtmInverseProjection utmMapProjectionType;
typedef otb::OrthoRectificationFilter<ImageType, ImageType,
- utmMapProjectionType> OrthoRectifFilterType ;
+ utmMapProjectionType> OrthoRectifFilterType;
OrthoRectifFilterType::Pointer orthoRectifFilter =
diff --git a/Examples/Radiometry/AtmosphericCorrectionSequencement.cxx b/Examples/Radiometry/AtmosphericCorrectionSequencement.cxx
index 7fc1a83af7..953024ec54 100644
--- a/Examples/Radiometry/AtmosphericCorrectionSequencement.cxx
+++ b/Examples/Radiometry/AtmosphericCorrectionSequencement.cxx
@@ -184,7 +184,7 @@ int main( int argc, char *argv[] )
std::ifstream fin;
fin.open(argv[3]);
double dalpha(0.), dbeta(0.);
- for ( unsigned int i=0 ; i < nbOfComponent ; i++)
+ for ( unsigned int i=0; i < nbOfComponent; i++)
{
fin >> dalpha;
fin >> dbeta;
@@ -244,7 +244,7 @@ int main( int argc, char *argv[] )
fin.open(argv[4]);
double dsolarIllumination(0.);
- for ( unsigned int i=0 ; i < nbOfComponent ; i++)
+ for ( unsigned int i=0; i < nbOfComponent; i++)
{
fin >> dsolarIllumination;
solarIllumination[i] = dsolarIllumination;
@@ -318,7 +318,7 @@ int main( int argc, char *argv[] )
fin.open(argv[5]);
fin >> nbBands;
- for (unsigned int i=0 ; i<nbBands ; i++)
+ for (unsigned int i=0; i<nbBands; i++)
{
vector.clear();
fin >> sString;
@@ -326,7 +326,7 @@ int main( int argc, char *argv[] )
fin >> maxSpectralValue;
fin >> userStep;
fin >> nbValuesPerBand;
- for ( unsigned int j=0 ; j < nbValuesPerBand ; j++)
+ for ( unsigned int j=0; j < nbValuesPerBand; j++)
{
fin >> value;
vector.push_back(value);
diff --git a/Examples/Tutorials/OrthoFusion.cxx b/Examples/Tutorials/OrthoFusion.cxx
index df7e3f9852..8bd1c3a779 100644
--- a/Examples/Tutorials/OrthoFusion.cxx
+++ b/Examples/Tutorials/OrthoFusion.cxx
@@ -123,7 +123,7 @@ int main( int argc, char* argv[] )
// Software Guide : BeginCodeSnippet
- typedef otb::UtmInverseProjection utmMapProjectionType ;
+ typedef otb::UtmInverseProjection utmMapProjectionType;
utmMapProjectionType::Pointer utmMapProjection =
utmMapProjectionType::New();
utmMapProjection->SetZone(atoi(argv[4]));
@@ -165,7 +165,7 @@ int main( int argc, char* argv[] )
// Software Guide : BeginCodeSnippet
typedef otb::OrthoRectificationFilter<ImageType, DoubleImageType,
- utmMapProjectionType> OrthoRectifFilterType ;
+ utmMapProjectionType> OrthoRectifFilterType;
OrthoRectifFilterType::Pointer orthoRectifPAN =
OrthoRectifFilterType::New();
--
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