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gaussianmixture_c.cpp
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/*
* Copyright (c) 2016 Denis Steckelmacher
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "gaussianmixture.h"
#include <stdlib.h>
#include <iostream>
extern "C"
GaussianMixture *GaussianMixture_New(int input_dim,
int output_dim,
float initial_variance,
float max_error)
{
return new GaussianMixture(input_dim, output_dim, initial_variance, max_error);
}
extern "C"
void GaussianMixture_Del(GaussianMixture *m)
{
delete m;
}
extern "C"
void GaussianMixture_SetValue(GaussianMixture *m,
float *in, int inS,
float *val, int valS)
{
m->setValue(
Eigen::Map<Eigen::VectorXf, Eigen::Aligned>(in, inS),
Eigen::Map<Eigen::VectorXf, Eigen::Aligned>(val, valS)
);
}
extern "C"
void GaussianMixture_GetValue(GaussianMixture *m,
float *in, int inS,
float *out)
{
float weight;
Eigen::VectorXf rs = m->value(
Eigen::Map<Eigen::VectorXf, Eigen::Aligned>(in, inS),
weight
);
memcpy((void *)out, (void *)rs.data(), rs.rows() * sizeof(float));
}
extern "C"
int GaussianMixture_NumClusters(GaussianMixture *m)
{
return m->numClusters();
}