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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 <iostream>
#include <iterator>
#include "otbImage.h"
#include "otbRadiometricMomentsImageFunction.h"
#include "itkListSample.h"
#include "itkVariableLengthVector.h"
#include "otbObjectDetectionClassifier.h"
#include "otbImageFileReader.h"
#include "otbImageFunctionAdaptor.h"
#include "otbStatisticsXMLFileReader.h"
#include "itkPreOrderTreeIterator.h"
const unsigned int Dimension = 2;
typedef int LabelType;
typedef double PixelType;
typedef double FunctionPrecisionType;
typedef double CoordRepType;
typedef otb::Image<PixelType, Dimension> ImageType;
typedef otb::VectorData<> VectorDataType;
typedef VectorDataType::PointType PointType;
typedef itk::PreOrderTreeIterator<VectorDataType::DataTreeType> TreeIteratorType;
typedef otb::ObjectDetectionClassifier
< ImageType,
VectorDataType,
LabelType,
FunctionPrecisionType,
CoordRepType > ObjectDetectionClassifierType;
typedef otb::RadiometricMomentsImageFunction<ImageType, CoordRepType> FunctionType;
typedef otb::ImageFunctionAdaptor<FunctionType, FunctionPrecisionType> AdaptedFunctionType;
typedef otb::ImageFileReader<ImageType> ImageReaderType;
typedef ObjectDetectionClassifierType::SVMModelType SVMModelType;
typedef ObjectDetectionClassifierType::SVMModelPointerType SVMModelPointerType;
typedef otb::StatisticsXMLFileReader<AdaptedFunctionType::OutputType> StatisticsXMLFileReaderType;
struct ComparePoint
{
bool operator () (PointType p, PointType q)
{
// order with the y axis position
if (p[1] < q[1])
return true;
if (p[1] > q[1])
return false;
// If one the same line,
// order with the x axis position
if (p[0] < q[0])
return true;
return false;
}
};
std::ostream &operator<<(std::ostream &stream, PointType p)
{
stream << p[0] << " " << p[1];
return stream;
}
int otbObjectDetectionClassifierNew(int itkNotUsed(argc), char* itkNotUsed(argv)[])
{
ObjectDetectionClassifierType::Pointer object = ObjectDetectionClassifierType::New();
std::cout << object << std::endl;
return EXIT_SUCCESS;
}
int otbObjectDetectionClassifier(int argc, char* argv[])
{
if (argc != 7)
{
std::cerr << "Wrong number of arguments" << std::endl;
return EXIT_FAILURE;
}
const char* inputImageFileName = argv[1];
const char* inputFeatureStats = argv[2];
const char* inputSVMModel = argv[3];
const char* outputVectorDataFileName = argv[4];
int streaming = atoi(argv[5]);
int neighborhood = atoi(argv[6]);
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(inputImageFileName);
StatisticsXMLFileReaderType::Pointer statisticsReader = StatisticsXMLFileReaderType::New();
statisticsReader->SetFileName(inputFeatureStats);
SVMModelPointerType svmModel = SVMModelType::New();
svmModel->LoadModel(inputSVMModel);
AdaptedFunctionType::Pointer descriptorsFunction = AdaptedFunctionType::New();
descriptorsFunction->SetInputImage(imageReader->GetOutput());
descriptorsFunction->GetInternalImageFunction()->SetNeighborhoodRadius(neighborhood);
ObjectDetectionClassifierType::Pointer classifier = ObjectDetectionClassifierType::New();
classifier->SetInputImage(imageReader->GetOutput());
classifier->SetNeighborhoodRadius(neighborhood);
classifier->SetSVMModel(svmModel);
classifier->SetDescriptorsFunction(descriptorsFunction);
classifier->SetNoClassLabel(0);
classifier->SetClassKey("Class");
classifier->SetShifts(statisticsReader->GetStatisticVectorByName("mean"));
classifier->SetScales(statisticsReader->GetStatisticVectorByName("stddev"));
classifier->GetStreamer()->SetNumberOfLinesStrippedStreaming( streaming );
classifier->SetGridStep(neighborhood/2);
classifier->Update();
std::vector<ObjectDetectionClassifierType::PointType> points;
VectorDataType::Pointer vectorData = classifier->GetOutputVectorData();
TreeIteratorType itVector(vectorData->GetDataTree());
itVector.GoToBegin();
while (!itVector.IsAtEnd())
{
if (itVector.Get()->IsPointFeature())
{
points.push_back(itVector.Get()->GetPoint());
}
++itVector;
}
std::sort(points.begin(), points.end(), ComparePoint());
std::ofstream file(outputVectorDataFileName);
std::copy(points.begin(), points.end(), std::ostream_iterator<PointType>(file, "\n"));
file.close();
return EXIT_SUCCESS;
}
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