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;
#define TYPICAL_MAT_SIZES_CORE_ARITHM TYPICAL_MAT_SIZES
#define TYPICAL_MAT_TYPES_CORE_ARITHM CV_8UC1, CV_8SC1, CV_16SC1, CV_16SC2, CV_16SC3, CV_16SC4, CV_8UC4, CV_32SC1, CV_32FC1
#define TYPICAL_MATS_CORE_ARITHM testing::Combine( testing::Values( TYPICAL_MAT_SIZES_CORE_ARITHM ), testing::Values( TYPICAL_MAT_TYPES_CORE_ARITHM ) )
PERF_TEST_P(Size_MatType, min, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat b = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
TEST_CYCLE() min(a, b, c);
SANITY_CHECK(c);
}
PERF_TEST_P(Size_MatType, minScalar, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Scalar b;
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
TEST_CYCLE() min(a, b, c);
SANITY_CHECK(c);
}
PERF_TEST_P(Size_MatType, max, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat b = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
TEST_CYCLE() max(a, b, c);
SANITY_CHECK(c);
}
PERF_TEST_P(Size_MatType, maxScalar, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Scalar b;
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
TEST_CYCLE() max(a, b, c);
SANITY_CHECK(c);
}
PERF_TEST_P(Size_MatType, absdiff, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat b = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
if (CV_MAT_DEPTH(type) == CV_32S)
{
//see ticket 1529: absdiff can be without saturation on 32S
a /= 2;
b /= 2;
}
TEST_CYCLE() absdiff(a, b, c);
SANITY_CHECK(c, 1e-8);
}
PERF_TEST_P(Size_MatType, absdiffScalar, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Scalar b;
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
if (CV_MAT_DEPTH(type) == CV_32S)
{
//see ticket 1529: absdiff can be without saturation on 32S
a /= 2;
b /= 2;
}
TEST_CYCLE() absdiff(a, b, c);
SANITY_CHECK(c, 1e-8);
}
PERF_TEST_P(Size_MatType, add, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat b = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
if (CV_MAT_DEPTH(type) == CV_32S)
{
//see ticket 1529: add can be without saturation on 32S
a /= 2;
b /= 2;
}
TEST_CYCLE() add(a, b, c);
SANITY_CHECK(c, 1e-8);
}
PERF_TEST_P(Size_MatType, addScalar, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Scalar b;
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
if (CV_MAT_DEPTH(type) == CV_32S)
{
//see ticket 1529: add can be without saturation on 32S
a /= 2;
b /= 2;
}
TEST_CYCLE() add(a, b, c);
SANITY_CHECK(c, 1e-8);
}
PERF_TEST_P(Size_MatType, subtract, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat b = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
if (CV_MAT_DEPTH(type) == CV_32S)
{
//see ticket 1529: subtract can be without saturation on 32S
a /= 2;
b /= 2;
}
TEST_CYCLE() subtract(a, b, c);
SANITY_CHECK(c, 1e-8);
}
PERF_TEST_P(Size_MatType, subtractScalar, TYPICAL_MATS_CORE_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Scalar b;
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
if (CV_MAT_DEPTH(type) == CV_32S)
{
//see ticket 1529: subtract can be without saturation on 32S
a /= 2;
b /= 2;
}
TEST_CYCLE() subtract(a, b, c);
SANITY_CHECK(c, 1e-8);
}