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Commit 374e3a08 authored by Vadim Pisarevsky's avatar Vadim Pisarevsky
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rewritten several functions from calib3d: findhomography, findfundamentalmat,… 

rewritten several functions from calib3d: findhomography, findfundamentalmat, findessentialmat, estimateaffine3d, computecorrespondepilines, convert points{to/from}homogeneous to C++.
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modules/calib3d/src/_modelest.h → modules/calib3d/src/calib3d_init.cpp
View file @ 374e3a08
......@@ -7,10 +7,11 @@
// copy or use the software.
//
//
// Intel License Agreement
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
......@@ -23,7 +24,7 @@
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
......@@ -39,44 +40,27 @@
//
//M*/
#include "precomp.hpp"
#ifndef _CV_MODEL_EST_H_
#define _CV_MODEL_EST_H_
using namespace cv;
#include "opencv2/calib3d/calib3d.hpp"
//////////////////////////////////////////////////////////////////////////////////////////////////////////
class CV_EXPORTS CvModelEstimator2
{
public:
CvModelEstimator2(int _modelPoints, CvSize _modelSize, int _maxBasicSolutions);
virtual ~CvModelEstimator2();
virtual int runKernel( const CvMat* m1, const CvMat* m2, CvMat* model )=0;
virtual bool runLMeDS( const CvMat* m1, const CvMat* m2, CvMat* model,
CvMat* mask, double confidence=0.99, int maxIters=2000 );
virtual bool runRANSAC( const CvMat* m1, const CvMat* m2, CvMat* model,
CvMat* mask, double threshold,
double confidence=0.99, int maxIters=2000 );
virtual bool refine( const CvMat*, const CvMat*, CvMat*, int ) { return true; }
virtual void setSeed( int64 seed );
//////////////////////////////////////////////////////////////////////////////////////////////////////////
protected:
virtual void computeReprojError( const CvMat* m1, const CvMat* m2,
const CvMat* model, CvMat* error ) = 0;
virtual int findInliers( const CvMat* m1, const CvMat* m2,
const CvMat* model, CvMat* error,
CvMat* mask, double threshold );
virtual bool getSubset( const CvMat* m1, const CvMat* m2,
CvMat* ms1, CvMat* ms2, int maxAttempts=1000 );
virtual bool checkSubset( const CvMat* ms1, int count );
virtual bool isMinimalSetConsistent( const CvMat* /*m1*/, const CvMat* /*m2*/ ) { return true; };
CvRNG rng;
int modelPoints;
CvSize modelSize;
int maxBasicSolutions;
bool checkPartialSubsets;
};
///////////////////////////////////////////////////////////////////////////////////////////////////////////
#endif // _CV_MODEL_EST_H_
#if 0
bool cv::initModule_calib3d(void)
{
bool all = true;
all &= !RANSACPointSetRegistrator_info_auto.name().empty();
all &= !LMeDSPointSetRegistrator_info_auto.name().empty();
all &= !LMSolverImpl_info_auto.name().empty();
return all;
}
#endif
modules/calib3d/src/calibration.cpp
View file @ 374e3a08
......@@ -55,247 +55,6 @@
using namespace cv;
CvLevMarq::CvLevMarq()
{
mask = prevParam = param = J = err = JtJ = JtJN = JtErr = JtJV = JtJW = Ptr<CvMat>();
lambdaLg10 = 0; state = DONE;
criteria = cvTermCriteria(0,0,0);
iters = 0;
completeSymmFlag = false;
}
CvLevMarq::CvLevMarq( int nparams, int nerrs, CvTermCriteria criteria0, bool _completeSymmFlag )
{
mask = prevParam = param = J = err = JtJ = JtJN = JtErr = JtJV = JtJW = Ptr<CvMat>();
init(nparams, nerrs, criteria0, _completeSymmFlag);
}
void CvLevMarq::clear()
{
mask.release();
prevParam.release();
param.release();
J.release();
err.release();
JtJ.release();
JtJN.release();
JtErr.release();
JtJV.release();
JtJW.release();
}
CvLevMarq::~CvLevMarq()
{
clear();
}
void CvLevMarq::init( int nparams, int nerrs, CvTermCriteria criteria0, bool _completeSymmFlag )
{
if( !param || param->rows != nparams || nerrs != (err ? err->rows : 0) )
clear();
mask = cvCreateMat( nparams, 1, CV_8U );
cvSet(mask, cvScalarAll(1));
prevParam = cvCreateMat( nparams, 1, CV_64F );
param = cvCreateMat( nparams, 1, CV_64F );
JtJ = cvCreateMat( nparams, nparams, CV_64F );
JtJN = cvCreateMat( nparams, nparams, CV_64F );
JtJV = cvCreateMat( nparams, nparams, CV_64F );
JtJW = cvCreateMat( nparams, 1, CV_64F );
JtErr = cvCreateMat( nparams, 1, CV_64F );
if( nerrs > 0 )
{
J = cvCreateMat( nerrs, nparams, CV_64F );
err = cvCreateMat( nerrs, 1, CV_64F );
}
prevErrNorm = DBL_MAX;
lambdaLg10 = -3;
criteria = criteria0;
if( criteria.type & CV_TERMCRIT_ITER )
criteria.max_iter = MIN(MAX(criteria.max_iter,1),1000);
else
criteria.max_iter = 30;
if( criteria.type & CV_TERMCRIT_EPS )
criteria.epsilon = MAX(criteria.epsilon, 0);
else
criteria.epsilon = DBL_EPSILON;
state = STARTED;
iters = 0;
completeSymmFlag = _completeSymmFlag;
}
bool CvLevMarq::update( const CvMat*& _param, CvMat*& matJ, CvMat*& _err )
{
double change;
matJ = _err = 0;
assert( !err.empty() );
if( state == DONE )
{
_param = param;
return false;
}
if( state == STARTED )
{
_param = param;
cvZero( J );
cvZero( err );
matJ = J;
_err = err;
state = CALC_J;
return true;
}
if( state == CALC_J )
{
cvMulTransposed( J, JtJ, 1 );
cvGEMM( J, err, 1, 0, 0, JtErr, CV_GEMM_A_T );
cvCopy( param, prevParam );
step();
if( iters == 0 )
prevErrNorm = cvNorm(err, 0, CV_L2);
_param = param;
cvZero( err );
_err = err;
state = CHECK_ERR;
return true;
}
assert( state == CHECK_ERR );
errNorm = cvNorm( err, 0, CV_L2 );
if( errNorm > prevErrNorm )
{
if( ++lambdaLg10 <= 16 )
{
step();
_param = param;
cvZero( err );
_err = err;
state = CHECK_ERR;
return true;
}
}
lambdaLg10 = MAX(lambdaLg10-1, -16);
if( ++iters >= criteria.max_iter ||
(change = cvNorm(param, prevParam, CV_RELATIVE_L2)) < criteria.epsilon )
{
_param = param;
state = DONE;
return true;
}
prevErrNorm = errNorm;
_param = param;
cvZero(J);
matJ = J;
_err = err;
state = CALC_J;
return true;
}
bool CvLevMarq::updateAlt( const CvMat*& _param, CvMat*& _JtJ, CvMat*& _JtErr, double*& _errNorm )
{
double change;
CV_Assert( err.empty() );
if( state == DONE )
{
_param = param;
return false;
}
if( state == STARTED )
{
_param = param;
cvZero( JtJ );
cvZero( JtErr );
errNorm = 0;
_JtJ = JtJ;
_JtErr = JtErr;
_errNorm = &errNorm;
state = CALC_J;
return true;
}
if( state == CALC_J )
{
cvCopy( param, prevParam );
step();
_param = param;
prevErrNorm = errNorm;
errNorm = 0;
_errNorm = &errNorm;
state = CHECK_ERR;
return true;
}
assert( state == CHECK_ERR );
if( errNorm > prevErrNorm )
{
if( ++lambdaLg10 <= 16 )
{
step();
_param = param;
errNorm = 0;
_errNorm = &errNorm;
state = CHECK_ERR;
return true;
}
}
lambdaLg10 = MAX(lambdaLg10-1, -16);
if( ++iters >= criteria.max_iter ||
(change = cvNorm(param, prevParam, CV_RELATIVE_L2)) < criteria.epsilon )
{
_param = param;
state = DONE;
return false;
}
prevErrNorm = errNorm;
cvZero( JtJ );
cvZero( JtErr );
_param = param;
_JtJ = JtJ;
_JtErr = JtErr;
state = CALC_J;
return true;
}
void CvLevMarq::step()
{
const double LOG10 = log(10.);
double lambda = exp(lambdaLg10*LOG10);
int i, j, nparams = param->rows;
for( i = 0; i < nparams; i++ )
if( mask->data.ptr[i] == 0 )
{
double *row = JtJ->data.db + i*nparams, *col = JtJ->data.db + i;
for( j = 0; j < nparams; j++ )
row[j] = col[j*nparams] = 0;
JtErr->data.db[i] = 0;
}
if( !err )
cvCompleteSymm( JtJ, completeSymmFlag );
#if 1
cvCopy( JtJ, JtJN );
for( i = 0; i < nparams; i++ )
JtJN->data.db[(nparams+1)*i] *= 1. + lambda;
#else
cvSetIdentity(JtJN, cvRealScalar(lambda));
cvAdd( JtJ, JtJN, JtJN );
#endif
cvSVD( JtJN, JtJW, 0, JtJV, CV_SVD_MODIFY_A + CV_SVD_U_T + CV_SVD_V_T );
cvSVBkSb( JtJW, JtJV, JtJV, JtErr, param, CV_SVD_U_T + CV_SVD_V_T );
for( i = 0; i < nparams; i++ )
param->data.db[i] = prevParam->data.db[i] - (mask->data.ptr[i] ? param->data.db[i] : 0);
}
// reimplementation of dAB.m
CV_IMPL void cvCalcMatMulDeriv( const CvMat* A, const CvMat* B, CvMat* dABdA, CvMat* dABdB )
{
......
modules/calib3d/src/circlesgrid.cpp
View file @ 374e3a08
......@@ -402,14 +402,16 @@ void CirclesGridClusterFinder::parsePatternPoints(const std::vector<cv::Point2f>
else
idealPt = Point2f(j*squareSize, i*squareSize);
std::vector<float> query = Mat(idealPt);
Mat query(1, 2, CV_32F, &idealPt);
int knn = 1;
std::vector<int> indices(knn);
std::vector<float> dists(knn);
int indicesbuf = 0;
float distsbuf = 0.f;
Mat indices(1, knn, CV_32S, &indicesbuf);
Mat dists(1, knn, CV_32F, &distsbuf);
flannIndex.knnSearch(query, indices, dists, knn, flann::SearchParams());
centers.push_back(patternPoints.at(indices[0]));
centers.push_back(patternPoints.at(indicesbuf));
if(dists[0] > maxRectifiedDistance)
if(distsbuf > maxRectifiedDistance)
{
#ifdef DEBUG_CIRCLES
cout << "Pattern not detected: too large rectified distance" << endl;
......
modules/calib3d/src/compat_ptsetreg.cpp 0 → 100644
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modules/calib3d/src/five-point.cpp
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modules/calib3d/src/fundam.cpp
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modules/calib3d/src/levmarq.cpp 0 → 100644
View file @ 374e3a08
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// 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.
//
// * Redistribution's 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.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// 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 Intel Corporation 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.
//
//M*/
#include "precomp.hpp"
#include <stdio.h>
/*
This is translation to C++ of 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 : 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
{
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.empty() );
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) { cb = _cb; }
AlgorithmInfo* info() const;
Ptr<LMSolver::Callback> cb;
double epsx;
double epsf;
int maxIters;
int printInterval;
};
CV_INIT_ALGORITHM(LMSolverImpl, "LMSolver",
obj.info()->addParam(obj, "epsx", obj.epsx);
obj.info()->addParam(obj, "epsf", obj.epsf);
obj.info()->addParam(obj, "maxIters", obj.maxIters);
obj.info()->addParam(obj, "printInterval", obj.printInterval));
CV_EXPORTS Ptr<LMSolver> createLMSolver(const Ptr<LMSolver::Callback>& cb, int maxIters)
{
CV_Assert( !LMSolverImpl_info_auto.name().empty() );
return new LMSolverImpl(cb, maxIters);
}
}
modules/calib3d/src/modelest.cpp deleted 100644 → 0
View file @ 891d7da6
This diff is collapsed.
modules/calib3d/src/precomp.hpp
View file @ 374e3a08
......@@ -59,4 +59,51 @@
#define GET_OPTIMIZED(func) (func)
#endif
namespace cv
{
int RANSACUpdateNumIters( double p, double ep, int modelPoints, int maxIters );
class CV_EXPORTS LMSolver : public Algorithm
{
public:
class CV_EXPORTS Callback
{
public:
virtual ~Callback() {}
virtual bool compute(InputArray param, OutputArray err, OutputArray J) const = 0;
};
virtual void setCallback(const Ptr<LMSolver::Callback>& cb) = 0;
virtual int run(InputOutputArray _param0) const = 0;
};
CV_EXPORTS Ptr<LMSolver> createLMSolver(const Ptr<LMSolver::Callback>& cb, int maxIters);
class PointSetRegistrator : public Algorithm
{
public:
class CV_EXPORTS Callback
{
public:
virtual ~Callback() {}
virtual int runKernel(InputArray m1, InputArray m2, OutputArray model) const = 0;
virtual void computeError(InputArray m1, InputArray m2, InputArray model, OutputArray err) const = 0;
virtual bool checkSubset(InputArray, InputArray, int) const { return true; }
};
virtual void setCallback(const Ptr<PointSetRegistrator::Callback>& cb) = 0;
virtual bool run(InputArray m1, InputArray m2, OutputArray model, OutputArray mask) const = 0;
};
CV_EXPORTS Ptr<PointSetRegistrator> createRANSACPointSetRegistrator(const Ptr<PointSetRegistrator::Callback>& cb,
int modelPoints, double threshold,
double confidence=0.99, int maxIters=1000 );
CV_EXPORTS Ptr<PointSetRegistrator> createLMeDSPointSetRegistrator(const Ptr<PointSetRegistrator::Callback>& cb,
int modelPoints, double confidence=0.99, int maxIters=1000 );
}
#endif
modules/calib3d/src/ptsetreg.cpp 0 → 100644
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modules/calib3d/test/test_affine3d_estimator.cpp
View file @ 374e3a08
......@@ -163,6 +163,8 @@ bool CV_Affine3D_EstTest::testNPoints()
const double thres = 1e-4;
if (norm(aff_est, aff, NORM_INF) > thres)
{
cout << "aff est: " << aff_est << endl;
cout << "aff ref: " << aff << endl;
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
return false;
}
......
modules/calib3d/test/test_fundam.cpp
View file @ 374e3a08
......@@ -1020,7 +1020,7 @@ void CV_FundamentalMatTest::prepare_to_validation( int test_case_idx )
F0 *= 1./f0[8];
uchar* status = test_mat[TEMP][1].data;
double err_level = get_success_error_level( test_case_idx, OUTPUT, 1 );
double err_level = method <= CV_FM_8POINT ? 1 : get_success_error_level( test_case_idx, OUTPUT, 1 );
uchar* mtfm1 = test_mat[REF_OUTPUT][1].data;
uchar* mtfm2 = test_mat[OUTPUT][1].data;
double* f_prop1 = (double*)test_mat[REF_OUTPUT][0].data;
......
modules/calib3d/test/test_modelest.cpp
View file @ 374e3a08
......@@ -40,6 +40,8 @@
//M*/
#include "test_precomp.hpp"
#if 0
#include "_modelest.h"
using namespace std;
......@@ -225,3 +227,6 @@ void CV_ModelEstimator2_Test::run_func()
}
TEST(Calib3d_ModelEstimator2, accuracy) { CV_ModelEstimator2_Test test; test.safe_run(); }
#endif
modules/core/src/matrix.cpp
View file @ 374e3a08
......@@ -1145,7 +1145,7 @@ Size _InputArray::size(int i) const
const std::vector<uchar>& v = *(const std::vector<uchar>*)obj;
const std::vector<int>& iv = *(const std::vector<int>*)obj;
size_t szb = v.size(), szi = iv.size();
return szb == szi ? Size((int)szb, 1) : Size((int)(szb/CV_ELEM_SIZE(flags)), 1);
return szb == szi ? Size(1, (int)szb) : Size(1, (int)(szb/CV_ELEM_SIZE(flags)));
}
if( k == NONE )
......@@ -1155,19 +1155,19 @@ Size _InputArray::size(int i) const
{
const std::vector<std::vector<uchar> >& vv = *(const std::vector<std::vector<uchar> >*)obj;
if( i < 0 )
return vv.empty() ? Size() : Size((int)vv.size(), 1);
return vv.empty() ? Size() : Size(1, (int)vv.size());
CV_Assert( i < (int)vv.size() );
const std::vector<std::vector<int> >& ivv = *(const std::vector<std::vector<int> >*)obj;
size_t szb = vv[i].size(), szi = ivv[i].size();
return szb == szi ? Size((int)szb, 1) : Size((int)(szb/CV_ELEM_SIZE(flags)), 1);
return szb == szi ? Size(1, (int)szb) : Size(1, (int)(szb/CV_ELEM_SIZE(flags)));
}
if( k == STD_VECTOR_MAT )
{
const std::vector<Mat>& vv = *(const std::vector<Mat>*)obj;
if( i < 0 )
return vv.empty() ? Size() : Size((int)vv.size(), 1);
return vv.empty() ? Size() : Size(1, (int)vv.size());
CV_Assert( i < (int)vv.size() );
return vv[i].size();
......
modules/core/test/test_operations.cpp
View file @ 374e3a08
......@@ -487,7 +487,7 @@ bool CV_OperationsTest::TestSubMatAccess()
coords.push_back(T_bs(i));
//std::cout << T_bs1(i) << std::endl;
}
CV_Assert( norm(coords, T_bs.reshape(1,1), NORM_INF) == 0 );
CV_Assert( norm(coords, T_bs.reshape(1,1).t(), NORM_INF) == 0 );
}
catch (const test_excep& e)
{
......
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