OpenCV_4.2.0/opencv_contrib-4.2.0/modules/reg/perf/perf_reg.cpp

264 lines
8.1 KiB
C++

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#include "perf_precomp.hpp"
namespace opencv_test { namespace {
using namespace perf;
Vec<double, 2> perfShift(const Mat& img1)
{
Mat img2;
// Warp original image
Vec<double, 2> shift(5., 5.);
MapShift mapTest(shift);
mapTest.warp(img1, img2);
// Register
Ptr<MapperGradShift> mapper = makePtr<MapperGradShift>();
MapperPyramid mappPyr(mapper);
Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
MapShift* mapShift = dynamic_cast<MapShift*>(mapPtr.get());
return mapShift->getShift();
}
Matx<double, 2, 6> perfEuclidean(const Mat& img1)
{
Mat img2;
Matx<double, 2, 6> transf;
// Warp original image
double theta = 3*CV_PI/180;
double cosT = cos(theta);
double sinT = sin(theta);
Matx<double, 2, 2> linTr(cosT, -sinT, sinT, cosT);
Vec<double, 2> shift(5., 5.);
MapAffine mapTest(linTr, shift);
mapTest.warp(img1, img2);
// Register
Ptr<MapperGradEuclid> mapper = makePtr<MapperGradEuclid>();
MapperPyramid mappPyr(mapper);
Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
MapAffine* mapAff = dynamic_cast<MapAffine*>(mapPtr.get());
Matx<double, 2, 2> resLinTr = mapAff->getLinTr();
transf(0, 0) = resLinTr(0, 0), transf(0, 1) = resLinTr(0, 1);
transf(1, 0) = resLinTr(1, 0), transf(1, 1) = resLinTr(1, 1);
Vec<double, 2> resShift = mapAff->getShift();
transf(0, 2) = resShift(0);
transf(1, 2) = resShift(1);
return transf;
}
Matx<double, 2, 6> perfSimilarity(const Mat& img1)
{
Mat img2;
Matx<double, 2, 6> transf;
// Warp original image
double theta = 3*CV_PI/180;
double scale = 0.95;
double a = scale*cos(theta);
double b = scale*sin(theta);
Matx<double, 2, 2> linTr(a, -b, b, a);
Vec<double, 2> shift(5., 5.);
MapAffine mapTest(linTr, shift);
mapTest.warp(img1, img2);
// Register
Ptr<MapperGradSimilar> mapper = makePtr<MapperGradSimilar>();
MapperPyramid mappPyr(mapper);
Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
MapAffine* mapAff = dynamic_cast<MapAffine*>(mapPtr.get());
Matx<double, 2, 2> resLinTr = mapAff->getLinTr();
transf(0, 0) = resLinTr(0, 0), transf(0, 1) = resLinTr(0, 1);
transf(1, 0) = resLinTr(1, 0), transf(1, 1) = resLinTr(1, 1);
Vec<double, 2> resShift = mapAff->getShift();
transf(0, 2) = resShift(0);
transf(1, 2) = resShift(1);
return transf;
}
Matx<double, 2, 6> perfAffine(const Mat& img1)
{
Mat img2;
Matx<double, 2, 6> transf;
// Warp original image
Matx<double, 2, 2> linTr(1., 0.1, -0.01, 1.);
Vec<double, 2> shift(1., 1.);
MapAffine mapTest(linTr, shift);
mapTest.warp(img1, img2);
// Register
Ptr<MapperGradAffine> mapper = makePtr<MapperGradAffine>();
MapperPyramid mappPyr(mapper);
Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
MapAffine* mapAff = dynamic_cast<MapAffine*>(mapPtr.get());
Matx<double, 2, 2> resLinTr = mapAff->getLinTr();
transf(0, 0) = resLinTr(0, 0), transf(0, 1) = resLinTr(0, 1);
transf(1, 0) = resLinTr(1, 0), transf(1, 1) = resLinTr(1, 1);
Vec<double, 2> resShift = mapAff->getShift();
transf(0, 2) = resShift(0);
transf(1, 2) = resShift(1);
return transf;
}
Matx<double, 3, 3> perfProjective(const Mat& img1)
{
Mat img2;
// Warp original image
Matx<double, 3, 3> projTr(1., 0., 0., 0., 1., 0., 0.0001, 0.0001, 1);
MapProjec mapTest(projTr);
mapTest.warp(img1, img2);
// Register
Ptr<MapperGradProj> mapper = makePtr<MapperGradProj>();
MapperPyramid mappPyr(mapper);
Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
MapProjec* mapProj = dynamic_cast<MapProjec*>(mapPtr.get());
mapProj->normalize();
return mapProj->getProjTr();
}
PERF_TEST_P(Size_MatType, Registration_Shift,
Combine(Values(szSmall64, szSmall128),
Values(MatType(CV_64FC1), MatType(CV_64FC3))))
{
declare.time(60);
const Size size = get<0>(GetParam());
const int type = get<1>(GetParam());
Mat frame(size, type);
Vec<double, 2> shift;
declare.in(frame, WARMUP_RNG).out(shift);
TEST_CYCLE() shift = perfShift(frame);
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(Size_MatType, Registration_Euclidean,
Combine(Values(szSmall64, szSmall128),
Values(MatType(CV_64FC1), MatType(CV_64FC3))))
{
declare.time(60);
const Size size = get<0>(GetParam());
const int type = get<1>(GetParam());
Mat frame(size, type);
Matx<double, 2, 6> result;
declare.in(frame, WARMUP_RNG).out(result);
TEST_CYCLE() result = perfEuclidean(frame);
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(Size_MatType, Registration_Similarity,
Combine(Values(szSmall64, szSmall128),
Values(MatType(CV_64FC1), MatType(CV_64FC3))))
{
declare.time(60);
const Size size = get<0>(GetParam());
const int type = get<1>(GetParam());
Mat frame(size, type);
Matx<double, 2, 6> result;
declare.in(frame, WARMUP_RNG).out(result);
TEST_CYCLE() result = perfSimilarity(frame);
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(Size_MatType, Registration_Affine,
Combine(Values(szSmall64, szSmall128),
Values(MatType(CV_64FC1), MatType(CV_64FC3))))
{
declare.time(60);
const Size size = get<0>(GetParam());
const int type = get<1>(GetParam());
Mat frame(size, type);
Matx<double, 2, 6> result;
declare.in(frame, WARMUP_RNG).out(result);
TEST_CYCLE() result = perfAffine(frame);
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(Size_MatType, Registration_Projective,
Combine(Values(szSmall64, szSmall128),
Values(MatType(CV_64FC1), MatType(CV_64FC3))))
{
declare.time(60);
const Size size = get<0>(GetParam());
const int type = get<1>(GetParam());
Mat frame(size, type);
Matx<double, 3, 3> result;
declare.in(frame, WARMUP_RNG).out(result);
TEST_CYCLE() result = perfProjective(frame);
SANITY_CHECK_NOTHING();
}
}} // namespace