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Performance testing branch is merged back into trunk

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This commit is contained in:
Andrey Kamaev
2011-09-06 15:30:28 +00:00
parent df9f707ff0
commit 5cce038958
36 changed files with 7764 additions and 1485 deletions
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25
modules/core/perf/perf_abs.cpp Normal file
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
#define TYPICAL_MAT_SIZES_ABS TYPICAL_MAT_SIZES
#define TYPICAL_MAT_TYPES_ABS CV_8SC1, CV_8SC4, CV_32SC1, CV_32FC1
#define TYPICAL_MATS_ABS testing::Combine( testing::Values( TYPICAL_MAT_SIZES_ABS), testing::Values( TYPICAL_MAT_TYPES_ABS) )
PERF_TEST_P(Size_MatType, abs, TYPICAL_MATS_ABS)
{
Size sz = std::tr1::get<0>(GetParam());
int type = std::tr1::get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, ::perf::TestBase::WARMUP_RNG).out(c).time(0.5);
TEST_CYCLE(100) c = cv::abs(a);
SANITY_CHECK(c);
}

25
modules/core/perf/perf_bitwise.cpp Normal file
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
#define TYPICAL_MAT_SIZES_BITWNOT TYPICAL_MAT_SIZES
#define TYPICAL_MAT_TYPES_BITWNOT CV_8SC1, CV_8SC4, CV_32SC1, CV_32SC4
#define TYPICAL_MATS_BITWNOT testing::Combine( testing::Values( TYPICAL_MAT_SIZES_BITWNOT), testing::Values( TYPICAL_MAT_TYPES_BITWNOT) )
PERF_TEST_P(Size_MatType, bitwise_not, TYPICAL_MATS_BITWNOT)
{
Size sz = std::tr1::get<0>(GetParam());
int type = std::tr1::get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, WARMUP_RNG).out(c);
TEST_CYCLE(100) cv::bitwise_not(a, c);
SANITY_CHECK(c);
}

66
modules/core/perf/perf_core_arithm.cpp Normal file
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
#define TYPICAL_MAT_SIZES_CORE_ARITHM TYPICAL_MAT_SIZES
#define TYPICAL_MAT_TYPES_CORE_ARITHM CV_8UC1, CV_8SC1, 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 ) )
#define TYPICAL_MAT_TYPES_BITW_ARITHM CV_8UC1, CV_8SC1, CV_8UC4, CV_32SC1, CV_32SC4
#define TYPICAL_MATS_BITW_ARITHM testing::Combine( testing::Values( TYPICAL_MAT_SIZES_CORE_ARITHM ), testing::Values( TYPICAL_MAT_TYPES_BITW_ARITHM ) )
#define PERF_TEST_P__CORE_ARITHM(__f, __testset) \
PERF_TEST_P(Size_MatType, core_arithm__ ## __f, __testset) \
{ \
Size sz = std::tr1::get<0>(GetParam()); \
int type = std::tr1::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(100) __f(a,b, c); \
\
SANITY_CHECK(c); \
}
#define PERF_TEST_P__CORE_ARITHM_SCALAR(__f, __testset) \
PERF_TEST_P(Size_MatType, core_arithm__ ## __f ##__Scalar, __testset) \
{ \
Size sz = std::tr1::get<0>(GetParam()); \
int type = std::tr1::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(100) __f(a,b, c); \
\
SANITY_CHECK(c); \
}
PERF_TEST_P__CORE_ARITHM(bitwise_and, TYPICAL_MATS_BITW_ARITHM)
PERF_TEST_P__CORE_ARITHM(bitwise_or, TYPICAL_MATS_BITW_ARITHM)
PERF_TEST_P__CORE_ARITHM(bitwise_xor, TYPICAL_MATS_BITW_ARITHM)
PERF_TEST_P__CORE_ARITHM(add, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM(subtract, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM(min, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM(max, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM(absdiff, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM_SCALAR(bitwise_and, TYPICAL_MATS_BITW_ARITHM)
PERF_TEST_P__CORE_ARITHM_SCALAR(bitwise_or, TYPICAL_MATS_BITW_ARITHM)
PERF_TEST_P__CORE_ARITHM_SCALAR(bitwise_xor, TYPICAL_MATS_BITW_ARITHM)
PERF_TEST_P__CORE_ARITHM_SCALAR(add, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM_SCALAR(subtract, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM_SCALAR(min, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM_SCALAR(max, TYPICAL_MATS_CORE_ARITHM)
PERF_TEST_P__CORE_ARITHM_SCALAR(absdiff, TYPICAL_MATS_CORE_ARITHM)

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modules/core/perf/perf_main.cpp Normal file
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#include "perf_precomp.hpp"
CV_PERF_TEST_MAIN(core)

1
modules/core/perf/perf_precomp.cpp Normal file
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#include "perf_precomp.hpp"

10
modules/core/perf/perf_precomp.hpp Normal file
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#ifndef __OPENCV_PERF_PRECOMP_HPP__
#define __OPENCV_PERF_PRECOMP_HPP__
#include "opencv2/ts/ts.hpp"
#if GTEST_CREATE_SHARED_LIBRARY
#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined
#endif
#endif

426
modules/core/perf/perf_stat.cpp Normal file
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#include "perf_precomp.hpp"
#include "opencv2/core/core_c.h"
using namespace std;
using namespace cv;
using namespace perf;
/*
// Scalar sum(InputArray arr)
*/
PERF_TEST_P( Size_MatType, sum, TYPICAL_MATS )
{
Size sz = std::tr1::get<0>(GetParam());
int type = std::tr1::get<1>(GetParam());
Mat arr(sz, type);
Scalar s;
declare.in(arr, WARMUP_RNG);
TEST_CYCLE(100) { s = sum(arr); }
SANITY_CHECK(s);
}
/*
// Scalar mean(InputArray src)
*/
PERF_TEST_P( Size_MatType, mean, TYPICAL_MATS )
{
Size sz = std::tr1::get<0>(GetParam());
int type = std::tr1::get<1>(GetParam());
Mat src(sz, type);
Scalar s;
declare.in(src, WARMUP_RNG);
TEST_CYCLE(100) { s = mean(src); }
SANITY_CHECK(s);
}
/*
// Scalar mean(InputArray src, InputArray mask=noArray())
*/
PERF_TEST_P( Size_MatType, mean_mask, TYPICAL_MATS )
{
Size sz = std::tr1::get<0>(GetParam());
int type = std::tr1::get<1>(GetParam());
Mat src(sz, type);
Mat mask = Mat::ones(src.size(), CV_8U);
Scalar s;
declare.in(src, WARMUP_RNG).in(mask);
TEST_CYCLE(100) { s = mean(src, mask); }
SANITY_CHECK(s);
}
CV_FLAGS(NormType, NORM_INF, NORM_L1, NORM_L2, NORM_TYPE_MASK, NORM_RELATIVE, NORM_MINMAX)
typedef std::tr1::tuple<Size, MatType, NormType> Size_MatType_NormType_t;
typedef perf::TestBaseWithParam<Size_MatType_NormType_t> Size_MatType_NormType;
/*
// double norm(InputArray src1, int normType=NORM_L2)
*/
PERF_TEST_P( Size_MatType_NormType, norm,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( (int)NORM_INF, (int)NORM_L1, (int)NORM_L2 )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int normType = std::tr1::get<2>(GetParam());
Mat src1(sz, matType);
double n;
declare.in(src1, WARMUP_RNG);
TEST_CYCLE(100) { n = norm(src1, normType); }
SANITY_CHECK(n);
}
/*
// double norm(InputArray src1, int normType=NORM_L2, InputArray mask=noArray())
*/
PERF_TEST_P( Size_MatType_NormType, norm_mask,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( (int)NORM_INF, (int)NORM_L1, (int)NORM_L2 )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int normType = std::tr1::get<2>(GetParam());
Mat src1(sz, matType);
Mat mask = Mat::ones(sz, CV_8U);
double n;
declare.in(src1, WARMUP_RNG).in(mask);
TEST_CYCLE(100) { n = norm(src1, normType, mask); }
SANITY_CHECK(n);
}
/*
// double norm(InputArray src1, InputArray src2, int normType)
*/
PERF_TEST_P( Size_MatType_NormType, norm2,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( (int)NORM_INF, (int)NORM_L1, (int)NORM_L2, (int)(NORM_RELATIVE+NORM_INF), (int)(NORM_RELATIVE+NORM_L1), (int)(NORM_RELATIVE+NORM_L2) )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int normType = std::tr1::get<2>(GetParam());
Mat src1(sz, matType);
Mat src2(sz, matType);
double n;
declare.in(src1, src2, WARMUP_RNG);
TEST_CYCLE(100) { n = norm(src1, src2, normType); }
SANITY_CHECK(n);
}
/*
// double norm(InputArray src1, InputArray src2, int normType, InputArray mask=noArray())
*/
PERF_TEST_P( Size_MatType_NormType, norm2_mask,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( (int)NORM_INF, (int)NORM_L1, (int)NORM_L2, (int)(NORM_RELATIVE+NORM_INF), (int)(NORM_RELATIVE+NORM_L1), (int)(NORM_RELATIVE+NORM_L2) )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int normType = std::tr1::get<2>(GetParam());
Mat src1(sz, matType);
Mat src2(sz, matType);
Mat mask = Mat::ones(sz, CV_8U);
double n;
declare.in(src1, src2, WARMUP_RNG).in(mask);
TEST_CYCLE(100) { n = norm(src1, src2, normType, mask); }
SANITY_CHECK(n);
}
/*
// void normalize(const InputArray src, OutputArray dst, double alpha=1, double beta=0, int normType=NORM_L2)
*/
PERF_TEST_P( Size_MatType_NormType, normalize,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( (int)NORM_INF, (int)NORM_L1, (int)NORM_L2 )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int normType = std::tr1::get<2>(GetParam());
Mat src(sz, matType);
Mat dst(sz, matType);
double alpha = 100.;
if(normType==NORM_L1) alpha = (double)src.total() * src.channels();
if(normType==NORM_L2) alpha = (double)src.total()/10;
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE(100) { normalize(src, dst, alpha, 0., normType); }
SANITY_CHECK(dst);
}
/*
// void normalize(const InputArray src, OutputArray dst, double alpha=1, double beta=0, int normType=NORM_L2, int rtype=-1, InputArray mask=noArray())
*/
PERF_TEST_P( Size_MatType_NormType, normalize_mask,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( (int)NORM_INF, (int)NORM_L1, (int)NORM_L2 )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int normType = std::tr1::get<2>(GetParam());
Mat src(sz, matType);
Mat dst(sz, matType);
Mat mask = Mat::ones(sz, CV_8U);
double alpha = 100.;
if(normType==NORM_L1) alpha = (double)src.total() * src.channels();
if(normType==NORM_L2) alpha = (double)src.total()/10;
declare.in(src, WARMUP_RNG).in(mask).out(dst);
TEST_CYCLE(100) { normalize(src, dst, alpha, 0., normType, -1, mask); }
SANITY_CHECK(dst);
}
/*
// void normalize(const InputArray src, OutputArray dst, double alpha=1, double beta=0, int normType=NORM_L2, int rtype=-1)
*/
PERF_TEST_P( Size_MatType_NormType, normalize_32f,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( (int)NORM_INF, (int)NORM_L1, (int)NORM_L2 )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int normType = std::tr1::get<2>(GetParam());
Mat src(sz, matType);
Mat dst(sz, matType);
double alpha = 100.;
if(normType==NORM_L1) alpha = (double)src.total() * src.channels();
if(normType==NORM_L2) alpha = (double)src.total()/10;
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE(100) { normalize(src, dst, alpha, 0., normType, CV_32F); }
SANITY_CHECK(dst);
}
/*
// void normalize(const InputArray src, OutputArray dst, double alpha=1, double beta=0, int normType=NORM_L2)
*/
PERF_TEST_P( Size_MatType, normalize_minmax, TYPICAL_MATS )
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
Mat src(sz, matType);
randu(src, 0, 256);
Mat dst(sz, matType);
declare.in(src).out(dst);
TEST_CYCLE(100) { normalize(src, dst, 20., 100., NORM_MINMAX); }
SANITY_CHECK(dst);
}
/*
// void meanStdDev(InputArray src, OutputArray mean, OutputArray stddev)
*/
PERF_TEST_P( Size_MatType, meanStdDev, TYPICAL_MATS )
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
Mat src(sz, matType);
Mat mean, dev;
declare.in(src, WARMUP_RNG);
TEST_CYCLE(100) { meanStdDev(src, mean, dev); }
SANITY_CHECK(mean);
SANITY_CHECK(dev);
}
/*
// void meanStdDev(InputArray src, OutputArray mean, OutputArray stddev, InputArray mask=noArray())
*/
PERF_TEST_P( Size_MatType, meanStdDev_mask, TYPICAL_MATS )
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
Mat src(sz, matType);
Mat mask = Mat::ones(sz, CV_8U);
Mat mean, dev;
declare.in(src, WARMUP_RNG).in(mask);
TEST_CYCLE(100) { meanStdDev(src, mean, dev, mask); }
SANITY_CHECK(mean);
SANITY_CHECK(dev);
}
/*
// int countNonZero(InputArray mtx)
*/
PERF_TEST_P( Size_MatType, countNonZero, TYPICAL_MATS_C1 )
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
Mat src(sz, matType);
int cnt = 0;
declare.in(src, WARMUP_RNG);
TEST_CYCLE(100) { cnt = countNonZero(src); }
SANITY_CHECK(cnt);
}
/*
// void minMaxLoc(InputArray src, double* minVal, double* maxVal=0, Point* minLoc=0, Point* maxLoc=0, InputArray mask=noArray())
*/
PERF_TEST_P( Size_MatType, minMaxLoc, TYPICAL_MATS_C1 )
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
Mat src(sz, matType);
double minVal, maxVal;
Point minLoc, maxLoc;
declare.in(src, WARMUP_RNG);
TEST_CYCLE(100) { minMaxLoc(src, &minVal, &maxVal, &minLoc, &maxLoc); }
SANITY_CHECK(minVal);
SANITY_CHECK(maxVal);
}
CV_ENUM(ROp, CV_REDUCE_SUM, CV_REDUCE_AVG, CV_REDUCE_MAX, CV_REDUCE_MIN)
typedef std::tr1::tuple<Size, MatType, ROp> Size_MatType_ROp_t;
typedef perf::TestBaseWithParam<Size_MatType_ROp_t> Size_MatType_ROp;
/*
// void reduce(InputArray mtx, OutputArray vec, int dim, int reduceOp, int dtype=-1)
*/
PERF_TEST_P( Size_MatType_ROp, reduceR,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( CV_REDUCE_SUM, CV_REDUCE_AVG, CV_REDUCE_MAX, CV_REDUCE_MIN )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int reduceOp = std::tr1::get<2>(GetParam());
int ddepth = -1;
if( CV_MAT_DEPTH(matType)< CV_32S && (reduceOp == CV_REDUCE_SUM || reduceOp == CV_REDUCE_AVG) )
ddepth = CV_32S;
Mat src(sz, matType);
Mat vec;
declare.in(src, WARMUP_RNG);
TEST_CYCLE(100) { reduce(src, vec, 0, reduceOp, ddepth); }
SANITY_CHECK(vec);
}
/*
// void reduce(InputArray mtx, OutputArray vec, int dim, int reduceOp, int dtype=-1)
*/
PERF_TEST_P( Size_MatType_ROp, reduceC,
testing::Combine(
testing::Values( TYPICAL_MAT_SIZES ),
testing::Values( TYPICAL_MAT_TYPES ),
testing::Values( CV_REDUCE_SUM, CV_REDUCE_AVG, CV_REDUCE_MAX, CV_REDUCE_MIN )
)
)
{
Size sz = std::tr1::get<0>(GetParam());
int matType = std::tr1::get<1>(GetParam());
int reduceOp = std::tr1::get<2>(GetParam());
int ddepth = -1;
if( CV_MAT_DEPTH(matType)< CV_32S && (reduceOp == CV_REDUCE_SUM || reduceOp == CV_REDUCE_AVG) )
ddepth = CV_32S;
Mat src(sz, matType);
Mat vec;
declare.in(src, WARMUP_RNG);
TEST_CYCLE(100) { reduce(src, vec, 1, reduceOp, ddepth); }
SANITY_CHECK(vec);
}