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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 otbOpenCVUtils_h
#define otbOpenCVUtils_h
#if defined(__GNUC__) || defined(__clang__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wcast-align"
#include <opencv2/core/core.hpp>
#include <opencv2/core/core_c.h>
#pragma GCC diagnostic pop
#else
#include <opencv2/core/core.hpp>
#include <opencv2/core/core_c.h>
#endif
#if defined(__GNUC__) || defined(__clang__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Woverloaded-virtual"
#include <opencv2/ml/ml.hpp>
#pragma GCC diagnostic pop
#else
#include <opencv2/ml/ml.hpp>
#endif
#include "otb_opencv_api.h"
#include "OTBSupervisedExport.h"
#include "itkListSample.h"
#define CV_TYPE_NAME_ML_SVM "opencv-ml-svm"
#define CV_TYPE_NAME_ML_RTREES "opencv-ml-random-trees"
#define CV_TYPE_NAME_ML_BOOSTING "opencv-ml-boost-tree"
#define CV_TYPE_NAME_ML_ANN_MLP "opencv-ml-ann-mlp"
#define CV_TYPE_NAME_ML_NBAYES "opencv-ml-bayesian"
#define CV_TYPE_NAME_ML_TREE "opencv-ml-tree"
#define CvSVM cv::ml::SVM
#define CvANN_MLP_TrainParams cv::ml::ANN_MLP
#define CvANN_MLP cv::ml::ANN_MLP
#define CvBoost cv::ml::Boost
#define CV_VAR_NUMERICAL cv::ml::VAR_NUMERICAL
#define CV_VAR_CATEGORICAL cv::ml::VAR_CATEGORICAL
namespace otb
{
template <class T>
void SampleToMat(const T& sample, cv::Mat& output)
{
output.create(1, sample.Size(), CV_32FC1);
// Loop on sample size
for (unsigned int i = 0; i < sample.Size(); ++i)
{
output.at<float>(0, i) = sample[i];
}
}
/** Converts a ListSample of VariableLengthVector to a CvMat. The user
* is responsible for freeing the output pointer with the
* cvReleaseMat function. A null pointer is resturned in case the
* conversion failed.
*/
template <class T>
void ListSampleToMat(const T* listSample, cv::Mat& output)
{
// Sample index
unsigned int sampleIdx = 0;
// Check for valid listSample
if (listSample != nullptr && listSample->Size() > 0)
{
// Retrieve samples count
unsigned int sampleCount = listSample->Size();
// Build an iterator
typename T::ConstIterator sampleIt = listSample->Begin();
// Retrieve samples size alike
const unsigned int sampleSize = listSample->GetMeasurementVectorSize();
// Allocate CvMat
output.create(sampleCount, sampleSize, CV_32FC1);
// Fill the cv matrix
for (; sampleIt != listSample->End(); ++sampleIt, ++sampleIdx)
{
// Retrieve sample
typename T::MeasurementVectorType sample = sampleIt.GetMeasurementVector();
// Loop on sample size
for (unsigned int i = 0; i < sampleSize; ++i)
{
output.at<float>(sampleIdx, i) = sample[i];
}
}
}
}
template <typename T>
void ListSampleToMat(typename T::Pointer listSample, cv::Mat& output)
{
return ListSampleToMat(listSample.GetPointer(), output);
}
template <typename T>
void ListSampleToMat(typename T::ConstPointer listSample, cv::Mat& output)
{
return ListSampleToMat(listSample.GetPointer(), output);
}
template <typename T>
typename T::Pointer MatToListSample(const cv::Mat& cvmat)
{
// Build output type
typename T::Pointer output = T::New();
// Get samples count
unsigned sampleCount = cvmat.rows;
// Get samples size
unsigned int sampleSize = cvmat.cols;
// Loop on samples
for (unsigned int i = 0; i < sampleCount; ++i)
{
typename T::MeasurementVectorType sample;
itk::NumericTraits<typename T::MeasurementVectorType>::SetLength(sample, sampleSize);
unsigned int realSampleSize = sample.Size();
for (unsigned int j = 0; j < realSampleSize; ++j)
{
// Don't forget to cast
sample[j] = static_cast<typename T::MeasurementVectorType::ValueType>(cvmat.at<float>(i, j));
}
// PushBack the new sample
output->PushBack(sample);
}
// return the output
return output;
}
}
#endif
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