OpenCV_4.2.0/opencv_contrib-4.2.0/modules/stereo/perf/perf_bm.cpp

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#include "perf_precomp.hpp"
namespace opencv_test { namespace {
typedef tuple<Size, MatType, MatDepth> s_bm_test_t;
typedef perf::TestBaseWithParam<s_bm_test_t> s_bm;
PERF_TEST_P( s_bm, sgm_perf,
testing::Combine(
testing::Values( cv::Size(512, 283), cv::Size(320, 240)),
testing::Values( CV_8U ),
testing::Values( CV_8U,CV_16S )
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
int sdepth = get<2>(GetParam());
Mat left(sz, matType);
Mat right(sz, matType);
Mat out1(sz, sdepth);
Ptr<StereoBinarySGBM> sgbm = StereoBinarySGBM::create(0, 16, 5);
sgbm->setBinaryKernelType(CV_DENSE_CENSUS);
declare.in(left, WARMUP_RNG)
.out(out1)
.time(0.1)
.iterations(20);
TEST_CYCLE()
{
sgbm->compute(left, right, out1);
}
SANITY_CHECK(out1);
}
PERF_TEST_P( s_bm, bm_perf,
testing::Combine(
testing::Values( cv::Size(512, 383), cv::Size(320, 240) ),
testing::Values( CV_8U ),
testing::Values( CV_8U )
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
int sdepth = get<2>(GetParam());
Mat left(sz, matType);
Mat right(sz, matType);
Mat out1(sz, sdepth);
Ptr<StereoBinaryBM> sbm = StereoBinaryBM::create(16, 9);
// we set the corresponding parameters
sbm->setPreFilterCap(31);
sbm->setMinDisparity(0);
sbm->setTextureThreshold(10);
sbm->setUniquenessRatio(0);
sbm->setSpeckleWindowSize(400);
sbm->setDisp12MaxDiff(0);
sbm->setAgregationWindowSize(11);
// the user can choose between the average speckle removal algorithm or
// the classical version that was implemented in OpenCV
sbm->setSpekleRemovalTechnique(CV_SPECKLE_REMOVAL_AVG_ALGORITHM);
sbm->setUsePrefilter(false);
declare.in(left, WARMUP_RNG)
.out(out1)
.time(0.1)
.iterations(20);
TEST_CYCLE()
{
sbm->compute(left, right, out1);
}
SANITY_CHECK(out1);
}
}} // namespace