Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

304 lines
8.5 KiB

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "perf_precomp.hpp"
namespace opencv_test {
typedef tuple<Size, MatType, int> Size_MatType_kSize_t;
typedef perf::TestBaseWithParam<Size_MatType_kSize_t> Size_MatType_kSize;
PERF_TEST_P(Size_MatType_kSize, medianBlur,
testing::Combine(
testing::Values(szODD, szQVGA, szVGA, sz720p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_16SC1, CV_32FC1),
testing::Values(3, 5)
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
int ksize = get<2>(GetParam());
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
if (CV_MAT_DEPTH(type) > CV_16S || CV_MAT_CN(type) > 1)
declare.time(15);
TEST_CYCLE() medianBlur(src, dst, ksize);
SANITY_CHECK(dst);
}
CV_ENUM(BorderType3x3, BORDER_REPLICATE, BORDER_CONSTANT)
CV_ENUM(BorderType, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_REFLECT101)
typedef tuple<Size, MatType, BorderType3x3> Size_MatType_BorderType3x3_t;
typedef perf::TestBaseWithParam<Size_MatType_BorderType3x3_t> Size_MatType_BorderType3x3;
typedef tuple<Size, MatType, BorderType> Size_MatType_BorderType_t;
typedef perf::TestBaseWithParam<Size_MatType_BorderType_t> Size_MatType_BorderType;
typedef tuple<Size, int, BorderType3x3> Size_ksize_BorderType_t;
typedef perf::TestBaseWithParam<Size_ksize_BorderType_t> Size_ksize_BorderType;
PERF_TEST_P(Size_MatType_BorderType3x3, gaussianBlur3x3,
testing::Combine(
testing::Values(szODD, szQVGA, szVGA, sz720p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_16SC1, CV_32FC1),
BorderType3x3::all()
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
BorderType3x3 btype = get<2>(GetParam());
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() GaussianBlur(src, dst, Size(3,3), 0, 0, btype);
SANITY_CHECK(dst, 1);
}
PERF_TEST_P(Size_MatType_BorderType3x3, blur3x3,
testing::Combine(
testing::Values(szODD, szQVGA, szVGA, sz720p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_16SC1, CV_32FC1),
BorderType3x3::all()
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
BorderType3x3 btype = get<2>(GetParam());
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() blur(src, dst, Size(3,3), Point(-1,-1), btype);
SANITY_CHECK(dst, 1);
}
PERF_TEST_P(Size_MatType_BorderType, blur16x16,
testing::Combine(
testing::Values(szVGA, sz720p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_16SC1, CV_32FC1),
BorderType::all()
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
BorderType btype = get<2>(GetParam());
double eps = 1e-3;
eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : eps;
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() blur(src, dst, Size(16,16), Point(-1,-1), btype);
SANITY_CHECK(dst, eps);
}
PERF_TEST_P(Size_MatType_BorderType3x3, box3x3,
testing::Combine(
testing::Values(szODD, szQVGA, szVGA, sz720p),
testing::Values(CV_8UC1, CV_16SC1, CV_32SC1, CV_32FC1, CV_32FC3),
BorderType3x3::all()
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
BorderType3x3 btype = get<2>(GetParam());
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() boxFilter(src, dst, -1, Size(3,3), Point(-1,-1), false, btype);
SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
PERF_TEST_P(Size_ksize_BorderType, box_CV8U_CV16U,
testing::Combine(
testing::Values(szODD, szQVGA, szVGA, sz720p),
testing::Values(3, 5, 15),
BorderType3x3::all()
)
)
{
Size size = get<0>(GetParam());
int ksize = get<1>(GetParam());
BorderType3x3 btype = get<2>(GetParam());
Mat src(size, CV_8UC1);
Mat dst(size, CV_16UC1);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() boxFilter(src, dst, CV_16UC1, Size(ksize, ksize), Point(-1,-1), false, btype);
SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
PERF_TEST_P(Size_MatType_BorderType3x3, box3x3_inplace,
testing::Combine(
testing::Values(szODD, szQVGA, szVGA, sz720p),
testing::Values(CV_8UC1, CV_16SC1, CV_32SC1, CV_32FC1, CV_32FC3),
BorderType3x3::all()
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
BorderType3x3 btype = get<2>(GetParam());
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
while(next())
{
src.copyTo(dst);
startTimer();
boxFilter(dst, dst, -1, Size(3,3), Point(-1,-1), false, btype);
stopTimer();
}
SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
PERF_TEST_P(Size_MatType_BorderType, gaussianBlur5x5,
testing::Combine(
testing::Values(szODD, szQVGA, szVGA, sz720p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_16SC1, CV_32FC1),
BorderType::all()
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
BorderType btype = get<2>(GetParam());
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() GaussianBlur(src, dst, Size(5,5), 0, 0, btype);
SANITY_CHECK(dst, 1);
}
PERF_TEST_P(Size_MatType_BorderType, blur5x5,
testing::Combine(
testing::Values(szVGA, sz720p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_16SC1, CV_32FC1, CV_32FC3),
BorderType::all()
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
BorderType btype = get<2>(GetParam());
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() blur(src, dst, Size(5,5), Point(-1,-1), btype);
SANITY_CHECK(dst, 1);
}
///////////// BlendLinear ////////////////////////
PERF_TEST_P(Size_MatType, BlendLinear,
testing::Combine(
testing::Values(szVGA, sz720p, sz1080p, sz2160p),
testing::Values(CV_8UC1, CV_32FC1, CV_8UC3, CV_32FC3, CV_8UC4, CV_32FC4)
)
)
{
const Size srcSize = get<0>(GetParam());
const int srcType = get<1>(GetParam());
Mat src1(srcSize, srcType), src2(srcSize, srcType), dst(srcSize, srcType);
Mat weights1(srcSize, CV_32FC1), weights2(srcSize, CV_32FC1);
declare.in(src1, src2, WARMUP_RNG).in(weights1, weights2, WARMUP_READ).out(dst);
randu(weights1, 0, 1);
randu(weights2, 0, 1);
TEST_CYCLE() blendLinear(src1, src2, weights1, weights2, dst);
SANITY_CHECK_NOTHING();
}
///////////// Stackblur ////////////////////////
PERF_TEST_P(Size_MatType, stackblur3x3,
testing::Combine(
testing::Values(sz720p, sz1080p, sz2160p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_16SC1, CV_32FC1)
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
double eps = 1e-3;
eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : eps;
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() stackBlur(src, dst, Size(3,3));
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(Size_MatType, stackblur101x101,
testing::Combine(
testing::Values(sz720p, sz1080p, sz2160p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_16SC1, CV_32FC1)
)
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
double eps = 1e-3;
eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : eps;
Mat src(size, type);
Mat dst(size, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() stackBlur(src, dst, Size(101,101));
SANITY_CHECK_NOTHING();
}
} // namespace