diff --git a/Modules/Learning/DimensionalityReductionLearning/include/otbAutoencoderModelFactory.h b/Modules/Learning/DimensionalityReductionLearning/include/otbAutoencoderModelFactory.h index b94b3b8154c657cb7292a32f06bb1c0a9b5bd9a1..ca411f0e707437fa3f75886e876f56721cf87702 100644 --- a/Modules/Learning/DimensionalityReductionLearning/include/otbAutoencoderModelFactory.h +++ b/Modules/Learning/DimensionalityReductionLearning/include/otbAutoencoderModelFactory.h @@ -30,11 +30,11 @@ namespace otb { template <class TInputValue, class TTargetValue, class NeuronType> -class ITK_EXPORT AutoencoderModelFactoryBase : public itk::ObjectFactoryBase +class ITK_EXPORT AutoencoderModelFactory : public itk::ObjectFactoryBase { public: /** Standard class typedefs. */ - typedef AutoencoderModelFactoryBase Self; + typedef AutoencoderModelFactory Self; typedef itk::ObjectFactoryBase Superclass; typedef itk::SmartPointer<Self> Pointer; typedef itk::SmartPointer<const Self> ConstPointer; @@ -47,21 +47,21 @@ public: itkFactorylessNewMacro(Self); /** Run-time type information (and related methods). */ - itkTypeMacro(AutoencoderModelFactoryBase, itk::ObjectFactoryBase); + itkTypeMacro(AutoencoderModelFactory, itk::ObjectFactoryBase); /** Register one factory of this type */ static void RegisterOneFactory(void) { - Pointer AEFactory = AutoencoderModelFactoryBase::New(); + Pointer AEFactory = AutoencoderModelFactory::New(); itk::ObjectFactoryBase::RegisterFactory(AEFactory); } protected: - AutoencoderModelFactoryBase(); - ~AutoencoderModelFactoryBase() ITK_OVERRIDE; + AutoencoderModelFactory(); + ~AutoencoderModelFactory() ITK_OVERRIDE; private: - AutoencoderModelFactoryBase(const Self &); //purposely not implemented + AutoencoderModelFactory(const Self &); //purposely not implemented void operator =(const Self&); //purposely not implemented }; diff --git a/Modules/Learning/DimensionalityReductionLearning/include/otbAutoencoderModelFactory.txx b/Modules/Learning/DimensionalityReductionLearning/include/otbAutoencoderModelFactory.txx index b7c8a231d7d78687bea92c337b31f5e713e6d331..53201871abf2721f551d29bea4e3797d7b1a5879 100644 --- a/Modules/Learning/DimensionalityReductionLearning/include/otbAutoencoderModelFactory.txx +++ b/Modules/Learning/DimensionalityReductionLearning/include/otbAutoencoderModelFactory.txx @@ -30,7 +30,7 @@ namespace otb { template <class TInputValue, class TOutputValue, class NeuronType> -AutoencoderModelFactoryBase<TInputValue,TOutputValue, NeuronType>::AutoencoderModelFactoryBase() +AutoencoderModelFactory<TInputValue,TOutputValue, NeuronType>::AutoencoderModelFactory() { std::string classOverride = std::string("DimensionalityReductionModel"); @@ -45,18 +45,18 @@ AutoencoderModelFactoryBase<TInputValue,TOutputValue, NeuronType>::AutoencoderMo } template <class TInputValue, class TOutputValue, class NeuronType> -AutoencoderModelFactoryBase<TInputValue,TOutputValue, NeuronType>::~AutoencoderModelFactoryBase() +AutoencoderModelFactory<TInputValue,TOutputValue, NeuronType>::~AutoencoderModelFactory() { } template <class TInputValue, class TOutputValue, class NeuronType> -const char* AutoencoderModelFactoryBase<TInputValue,TOutputValue, NeuronType>::GetITKSourceVersion(void) const +const char* AutoencoderModelFactory<TInputValue,TOutputValue, NeuronType>::GetITKSourceVersion(void) const { return ITK_SOURCE_VERSION; } template <class TInputValue, class TOutputValue, class NeuronType> -const char* AutoencoderModelFactoryBase<TInputValue,TOutputValue, NeuronType>::GetDescription() const +const char* AutoencoderModelFactory<TInputValue,TOutputValue, NeuronType>::GetDescription() const { return "Autoencoder model factory"; } diff --git a/Modules/Learning/DimensionalityReductionLearning/include/otbDimensionalityReductionModelFactory.txx b/Modules/Learning/DimensionalityReductionLearning/include/otbDimensionalityReductionModelFactory.txx index 7eeeda6d5a7df269b7eb1025857ecd303b200699..5a9b9b7740bebc06856a6c0ad1b330ff297a7fa8 100644 --- a/Modules/Learning/DimensionalityReductionLearning/include/otbDimensionalityReductionModelFactory.txx +++ b/Modules/Learning/DimensionalityReductionLearning/include/otbDimensionalityReductionModelFactory.txx @@ -38,7 +38,7 @@ namespace otb template <class TInputValue, class TTargetValue> -using AutoencoderModelFactory = AutoencoderModelFactoryBase<TInputValue, TTargetValue, shark::LogisticNeuron> ; +using LogAutoencoderModelFactory = AutoencoderModelFactory<TInputValue, TTargetValue, shark::LogisticNeuron> ; template <class TInputValue, class TTargetValue> @@ -121,7 +121,7 @@ DimensionalityReductionModelFactory<TInputValue,TOutputValue> #ifdef OTB_USE_SHARK RegisterFactory(PCAModelFactory<TInputValue,TOutputValue>::New()); - RegisterFactory(AutoencoderModelFactory<TInputValue,TOutputValue>::New()); + RegisterFactory(LogAutoencoderModelFactory<TInputValue,TOutputValue>::New()); // RegisterFactory(TiedAutoencoderModelFactory<TInputValue,TOutputValue>::New()); #endif @@ -188,8 +188,8 @@ DimensionalityReductionModelFactory<TInputValue,TOutputValue> #ifdef OTB_USE_SHARK - AutoencoderModelFactory<TInputValue,TOutputValue> *aeFactory = - dynamic_cast<AutoencoderModelFactory<TInputValue,TOutputValue> *>(*itFac); + LogAutoencoderModelFactory<TInputValue,TOutputValue> *aeFactory = + dynamic_cast<LogAutoencoderModelFactory<TInputValue,TOutputValue> *>(*itFac); if (aeFactory) { itk::ObjectFactoryBase::UnRegisterFactory(aeFactory);