Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
PERF_TEST_P(Size_MatType, pyrDown, testing::Combine(
testing::Values(sz1080p, sz720p, szVGA, szQVGA, szODD),
testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_16SC1, CV_16SC3, CV_16SC4, CV_32FC1, CV_32FC3, CV_32FC4)
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
const double eps = CV_MAT_DEPTH(matType) <= CV_32S ? 1 : 1e-5;
perf::ERROR_TYPE error_type = CV_MAT_DEPTH(matType) <= CV_32S ? ERROR_ABSOLUTE : ERROR_RELATIVE;
Mat src(sz, matType);
Mat dst((sz.height + 1)/2, (sz.width + 1)/2, matType);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() pyrDown(src, dst);
SANITY_CHECK(dst, eps, error_type);
}
PERF_TEST_P(Size_MatType, pyrDown_ovx, testing::Combine(
testing::Values(sz1080p, sz720p, szVGA, szQVGA, szODD),
testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_16SC1, CV_16SC3, CV_16SC4, CV_32FC1, CV_32FC3, CV_32FC4)
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
const double eps = CV_MAT_DEPTH(matType) <= CV_32S ? 1 : 1e-5;
perf::ERROR_TYPE error_type = CV_MAT_DEPTH(matType) <= CV_32S ? ERROR_ABSOLUTE : ERROR_RELATIVE;
Mat src(sz, matType);
Mat dst((sz.height + 1) / 2, (sz.width + 1) / 2, matType);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() pyrDown(src, dst, cv::Size(), BORDER_REPLICATE);
SANITY_CHECK(dst, eps, error_type);
}
PERF_TEST_P(Size_MatType, pyrUp, testing::Combine(
testing::Values(sz720p, szVGA, szQVGA, szODD),
testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_16SC1, CV_16SC3, CV_16SC4, CV_32FC1, CV_32FC3, CV_32FC4)
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
const double eps = CV_MAT_DEPTH(matType) <= CV_32S ? 1 : 1e-5;
perf::ERROR_TYPE error_type = CV_MAT_DEPTH(matType) <= CV_32S ? ERROR_ABSOLUTE : ERROR_RELATIVE;
Mat src(sz, matType);
Mat dst(sz.height*2, sz.width*2, matType);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() pyrUp(src, dst);
SANITY_CHECK(dst, eps, error_type);
}
PERF_TEST_P(Size_MatType, buildPyramid, testing::Combine(
testing::Values(sz1080p, sz720p, szVGA, szQVGA, szODD),
testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4)
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
int maxLevel = 5;
const double eps = CV_MAT_DEPTH(matType) <= CV_32S ? 1 : 1e-5;
perf::ERROR_TYPE error_type = CV_MAT_DEPTH(matType) <= CV_32S ? ERROR_ABSOLUTE : ERROR_RELATIVE;
Mat src(sz, matType);
std::vector<Mat> dst(maxLevel);
declare.in(src, WARMUP_RNG);
TEST_CYCLE() buildPyramid(src, dst, maxLevel);
Mat dst0 = dst[0], dst1 = dst[1], dst2 = dst[2], dst3 = dst[3], dst4 = dst[4];
SANITY_CHECK(dst0, eps, error_type);
SANITY_CHECK(dst1, eps, error_type);
SANITY_CHECK(dst2, eps, error_type);
SANITY_CHECK(dst3, eps, error_type);
SANITY_CHECK(dst4, eps, error_type);
}