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/*
* Copyright (C) 2005-2017 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.
*/
#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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