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/*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#include "otbImageClassificationFilter.h"
#include "otbVectorImage.h"
#include "otbImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "otbMachineLearningModelFactory.h"
const unsigned int Dimension = 2;
typedef double PixelType;
typedef unsigned short LabeledPixelType;
typedef otb::VectorImage<PixelType, Dimension> ImageType;
typedef otb::Image<LabeledPixelType, Dimension> LabeledImageType;
typedef otb::ImageClassificationFilter<ImageType, LabeledImageType> ClassificationFilterType;
typedef ClassificationFilterType::ModelType ModelType;
typedef ClassificationFilterType::ValueType ValueType;
typedef ClassificationFilterType::LabelType LabelType;
typedef otb::MachineLearningModelFactory<ValueType, LabelType> MachineLearningModelFactoryType;
typedef otb::ImageFileReader<ImageType> ReaderType;
typedef otb::ImageFileWriter<LabeledImageType> WriterType;
int otbImageClassificationFilterNew(int itkNotUsed(argc), char * itkNotUsed(argv) [])
{
ClassificationFilterType::Pointer filter = ClassificationFilterType::New();
return EXIT_SUCCESS;
}
int otbImageClassificationFilterLoadModel(int itkNotUsed(argc), char * argv[])
{
const char * infname = argv[1];
const char * modelfname = argv[2];
// Instantiating object
ClassificationFilterType::Pointer filter = ClassificationFilterType::New();
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(infname);
ModelType::Pointer model;
model = MachineLearningModelFactoryType::CreateMachineLearningModel(modelfname,
MachineLearningModelFactoryType::ReadMode);
if (model.IsNull())
{
std::cerr << "Unable to create a model from " << modelfname << std::endl;
return EXIT_FAILURE;
}
model->Load(modelfname);
return EXIT_SUCCESS;
}
int otbImageClassificationFilter(int itkNotUsed(argc), char * argv[])
{
const char * infname = argv[1];
const char * modelfname = argv[2];
const char * outfname = argv[3];
// Instantiating object
ClassificationFilterType::Pointer filter = ClassificationFilterType::New();
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(infname);
ModelType::Pointer model;
model = MachineLearningModelFactoryType::CreateMachineLearningModel(modelfname,
MachineLearningModelFactoryType::ReadMode);
if (model.IsNull())
{
std::cerr << "Unable to create a model from " << modelfname << std::endl;
return EXIT_FAILURE;
}
model->Load(modelfname);
filter->SetModel(model);
filter->SetInput(reader->GetOutput());
WriterType::Pointer writer = WriterType::New();
writer->SetInput(filter->GetOutput());
writer->SetFileName(outfname);
writer->Update();
return EXIT_SUCCESS;
}
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