Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
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// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// this list of conditions and the following disclaimer in the documentation
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// derived from this software without specific prior written permission.
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// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
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//M*/
#include "precomp.hpp"
#include <stdio.h>
/*
This is a translation to C++ from the Matlab's LMSolve package by Miroslav Balda.
Here is the original copyright:
============================================================================
Copyright (c) 2007, Miroslav Balda
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
*/
namespace cv
{
class LMSolverImpl CV_FINAL : public LMSolver
{
public:
LMSolverImpl() : maxIters(100) { init(); }
LMSolverImpl(const Ptr<LMSolver::Callback>& _cb, int _maxIters) : cb(_cb), maxIters(_maxIters) { init(); }
void init()
{
epsx = epsf = FLT_EPSILON;
printInterval = 0;
}
int run(InputOutputArray _param0) const CV_OVERRIDE
{
Mat param0 = _param0.getMat(), x, xd, r, rd, J, A, Ap, v, temp_d, d;
int ptype = param0.type();
CV_Assert( (param0.cols == 1 || param0.rows == 1) && (ptype == CV_32F || ptype == CV_64F));
CV_Assert( cb );
int lx = param0.rows + param0.cols - 1;
param0.convertTo(x, CV_64F);
if( x.cols != 1 )
transpose(x, x);
if( !cb->compute(x, r, J) )
return -1;
double S = norm(r, NORM_L2SQR);
int nfJ = 2;
mulTransposed(J, A, true);
gemm(J, r, 1, noArray(), 0, v, GEMM_1_T);
Mat D = A.diag().clone();
const double Rlo = 0.25, Rhi = 0.75;
double lambda = 1, lc = 0.75;
int i, iter = 0;
if( printInterval != 0 )
{
printf("************************************************************************************\n");
printf("\titr\tnfJ\t\tSUM(r^2)\t\tx\t\tdx\t\tl\t\tlc\n");
printf("************************************************************************************\n");
}
for( ;; )
{
CV_Assert( A.type() == CV_64F && A.rows == lx );
A.copyTo(Ap);
for( i = 0; i < lx; i++ )
Ap.at<double>(i, i) += lambda*D.at<double>(i);
solve(Ap, v, d, DECOMP_EIG);
subtract(x, d, xd);
if( !cb->compute(xd, rd, noArray()) )
return -1;
nfJ++;
double Sd = norm(rd, NORM_L2SQR);
gemm(A, d, -1, v, 2, temp_d);
double dS = d.dot(temp_d);
double R = (S - Sd)/(fabs(dS) > DBL_EPSILON ? dS : 1);
if( R > Rhi )
{
lambda *= 0.5;
if( lambda < lc )
lambda = 0;
}
else if( R < Rlo )
{
// find new nu if R too low
double t = d.dot(v);
double nu = (Sd - S)/(fabs(t) > DBL_EPSILON ? t : 1) + 2;
nu = std::min(std::max(nu, 2.), 10.);
if( lambda == 0 )
{
invert(A, Ap, DECOMP_EIG);
double maxval = DBL_EPSILON;
for( i = 0; i < lx; i++ )
maxval = std::max(maxval, std::abs(Ap.at<double>(i,i)));
lambda = lc = 1./maxval;
nu *= 0.5;
}
lambda *= nu;
}
if( Sd < S )
{
nfJ++;
S = Sd;
std::swap(x, xd);
if( !cb->compute(x, r, J) )
return -1;
mulTransposed(J, A, true);
gemm(J, r, 1, noArray(), 0, v, GEMM_1_T);
}
iter++;
bool proceed = iter < maxIters && norm(d, NORM_INF) >= epsx && norm(r, NORM_INF) >= epsf;
if( printInterval != 0 && (iter % printInterval == 0 || iter == 1 || !proceed) )
{
printf("%c%10d %10d %15.4e %16.4e %17.4e %16.4e %17.4e\n",
(proceed ? ' ' : '*'), iter, nfJ, S, x.at<double>(0), d.at<double>(0), lambda, lc);
}
if(!proceed)
break;
}
if( param0.size != x.size )
transpose(x, x);
x.convertTo(param0, ptype);
if( iter == maxIters )
iter = -iter;
return iter;
}
void setCallback(const Ptr<LMSolver::Callback>& _cb) CV_OVERRIDE { cb = _cb; }
Ptr<LMSolver::Callback> cb;
double epsx;
double epsf;
int maxIters;
int printInterval;
};
Ptr<LMSolver> createLMSolver(const Ptr<LMSolver::Callback>& cb, int maxIters)
{
return makePtr<LMSolverImpl>(cb, maxIters);
}
}