REFAC: replace vcl_xxx with std:xxx

app/otbLabelImageSampleSelection.cxx

@@ -22,6 +22,7 @@
 
 // image utils
 #include "otbTensorflowCommon.h"
+#include <algorithm>
 
 namespace otb
 {
@@ -211,7 +212,7 @@ public:
     // Check the smallest number of samples amongst classes
     IndexValueType min_elem_in_class = itk::NumericTraits<IndexValueType>::max();
     for (LabelImageType::InternalPixelType classIdx = 0 ; classIdx < number_of_classes ; classIdx++)
-      min_elem_in_class = vcl_min(min_elem_in_class, number_of_samples[classIdx]);
+      min_elem_in_class = std::min(min_elem_in_class, number_of_samples[classIdx]);
 
     // If one class is empty, throw an error
     if (min_elem_in_class == 0)

include/otbTensorflowMultisourceModelFilter.hxx

@@ -224,8 +224,8 @@ TensorflowMultisourceModelFilter<TInputImage, TOutputImage>
     }
 
   // Set final size
-  m_OutputSize[0] = vcl_floor( (extentSup[0] - extentInf[0]) / vcl_abs(m_OutputSpacing[0]) ) + 1;
-  m_OutputSize[1] = vcl_floor( (extentSup[1] - extentInf[1]) / vcl_abs(m_OutputSpacing[1]) ) + 1;
+  m_OutputSize[0] = std::floor( (extentSup[0] - extentInf[0]) / std::abs(m_OutputSpacing[0]) ) + 1;
+  m_OutputSize[1] = std::floor( (extentSup[1] - extentInf[1]) / std::abs(m_OutputSpacing[1]) ) + 1;
 
   // Set final origin
   m_OutputOrigin[0] =  extentInf[0];

include/otbTensorflowMultisourceModelLearningBase.h

@@ -14,6 +14,7 @@
 #include "itkProcessObject.h"
 #include "itkNumericTraits.h"
 #include "itkSimpleDataObjectDecorator.h"
+#include <algorithm>
 
 // Base
 #include "otbTensorflowMultisourceModelBase.h"

include/otbTensorflowMultisourceModelLearningBase.hxx

@@ -124,7 +124,7 @@ TensorflowMultisourceModelLearningBase<TInputImage>
  {
 
   // Batches loop
-  const IndexValueType nBatches = vcl_ceil(m_NumberOfSamples / m_BatchSize);
+  const IndexValueType nBatches = std::ceil(m_NumberOfSamples / m_BatchSize);
   const IndexValueType rest = m_NumberOfSamples % m_BatchSize;
 
   itk::ProgressReporter progress(this, 0, nBatches);