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/*
* Copyright (C) 2005-2022 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 otbLabelMapClassifier_hxx
#define otbLabelMapClassifier_hxx
#include "otbLabelMapClassifier.h"
namespace otb
{
template <class TInputImage>
LabelMapClassifier<TInputImage>::LabelMapClassifier()
{
// Force to single-threaded in case the learning model is not thread safe
// This way, we benefit of the LabelMapFilter design and only need
// to implement ThreadedProcessLabelObject
this->SetNumberOfThreads(1); // TODO : check if still needed
}
template <class TInputImage>
void LabelMapClassifier<TInputImage>::ReleaseInputs()
{
// by pass itk::InPlaceLabelMapFilter::ReleaseInputs() implementation,
// which caused memory issue when ran inplace
this->itk::LabelMapFilter<TInputImage, TInputImage>::ReleaseInputs();
}
template <class TInputImage>
void LabelMapClassifier<TInputImage>::ThreadedProcessLabelObject(LabelObjectType* labelObject)
{
ClassLabelType classLabel = (m_Model->Predict(m_MeasurementFunctor(labelObject)))[0];
labelObject->SetClassLabel(classLabel);
}
} // end namespace otb
#endif
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