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Merge commit 'b51a1a7d' (PR #895 from 2.4)

Browse Source 
Conflicts:
	modules/ocl/CMakeLists.txt
	modules/ocl/perf/perf_color.cpp
	modules/ocl/perf/perf_match_template.cpp
	modules/ocl/perf/precomp.cpp
	modules/ocl/perf/precomp.hpp
This commit is contained in:
Roman Donchenko 2013-05-22 17:21:19 +04:00
commit 5e0e1fac87
24 changed files with 1192 additions and 374 deletions
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2
modules/ocl/CMakeLists.txt
View File

@ -3,5 +3,5 @@ if(NOT HAVE_OPENCL)
endif()
set(the_description "OpenCL-accelerated Computer Vision")
ocv_define_module(ocl opencv_core opencv_imgproc opencv_objdetect opencv_video opencv_features2d)
ocv_define_module(ocl opencv_core opencv_imgproc opencv_features2d opencv_objdetect opencv_video opencv_calib3d)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshadow)

430
modules/ocl/perf/perf_arithm.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// Lut ////////////////////////
TEST(lut)
PERFTEST(lut)
{
Mat src, lut, dst;
ocl::oclMat d_src, d_lut, d_dst;
@ -61,7 +62,7 @@ TEST(lut)
gen(src, size, size, all_type[j], 0, 256);
gen(lut, 1, 256, CV_8UC1, 0, 1);
gen(dst, size, size, all_type[j], 0, 256);
dst = src;
LUT(src, lut, dst);
@ -76,9 +77,13 @@ TEST(lut)
ocl::LUT(d_src, d_lut, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 0));
GPU_ON;
ocl::LUT(d_src, d_lut, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -94,7 +99,7 @@ TEST(lut)
}
///////////// Exp ////////////////////////
TEST(Exp)
PERFTEST(Exp)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -103,8 +108,7 @@ TEST(Exp)
{
SUBTEST << size << 'x' << size << "; CV_32FC1";
gen(src, size, size, CV_32FC1, 0, 256);
gen(dst, size, size, CV_32FC1, 0, 256);
gen(src, size, size, CV_32FC1, 5, 16);
exp(src, dst);
@ -117,9 +121,13 @@ TEST(Exp)
ocl::exp(d_src, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 2));
GPU_ON;
ocl::exp(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -131,7 +139,7 @@ TEST(Exp)
}
///////////// LOG ////////////////////////
TEST(Log)
PERFTEST(Log)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -153,9 +161,13 @@ TEST(Log)
ocl::log(d_src, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 1));
GPU_ON;
ocl::log(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -167,7 +179,7 @@ TEST(Log)
}
///////////// Add ////////////////////////
TEST(Add)
PERFTEST(Add)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -196,9 +208,13 @@ TEST(Add)
ocl::add(d_src1, d_src2, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 0.0));
GPU_ON;
ocl::add(d_src1, d_src2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -213,7 +229,7 @@ TEST(Add)
}
///////////// Mul ////////////////////////
TEST(Mul)
PERFTEST(Mul)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -229,8 +245,8 @@ TEST(Mul)
gen(src1, size, size, all_type[j], 0, 256);
gen(src2, size, size, all_type[j], 0, 256);
gen(dst, size, size, all_type[j], 0, 256);
dst = src1;
dst.setTo(0);
multiply(src1, src2, dst);
@ -244,9 +260,13 @@ TEST(Mul)
ocl::multiply(d_src1, d_src2, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 0.0));
GPU_ON;
ocl::multiply(d_src1, d_src2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -261,7 +281,7 @@ TEST(Mul)
}
///////////// Div ////////////////////////
TEST(Div)
PERFTEST(Div)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -276,8 +296,8 @@ TEST(Div)
gen(src1, size, size, all_type[j], 0, 256);
gen(src2, size, size, all_type[j], 0, 256);
gen(dst, size, size, all_type[j], 0, 256);
dst = src1;
dst.setTo(0);
divide(src1, src2, dst);
@ -291,9 +311,13 @@ TEST(Div)
ocl::divide(d_src1, d_src2, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 1));
GPU_ON;
ocl::divide(d_src1, d_src2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -308,7 +332,7 @@ TEST(Div)
}
///////////// Absdiff ////////////////////////
TEST(Absdiff)
PERFTEST(Absdiff)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -326,7 +350,6 @@ TEST(Absdiff)
gen(src2, size, size, all_type[j], 0, 256);
gen(dst, size, size, all_type[j], 0, 256);
absdiff(src1, src2, dst);
CPU_ON;
@ -339,9 +362,13 @@ TEST(Absdiff)
ocl::absdiff(d_src1, d_src2, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 0.0));
GPU_ON;
ocl::absdiff(d_src1, d_src2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -356,7 +383,7 @@ TEST(Absdiff)
}
///////////// CartToPolar ////////////////////////
TEST(CartToPolar)
PERFTEST(CartToPolar)
{
Mat src1, src2, dst, dst1;
ocl::oclMat d_src1, d_src2, d_dst, d_dst1;
@ -388,9 +415,16 @@ TEST(CartToPolar)
ocl::cartToPolar(d_src1, d_src2, d_dst, d_dst1, 1);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
cv::Mat ocl_mat_dst1;
d_dst1.download(ocl_mat_dst1);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst1, dst1, 0.5)&&ExpectedMatNear(ocl_mat_dst, dst, 0.5));
GPU_ON;
ocl::cartToPolar(d_src1, d_src2, d_dst, d_dst1, 1);
;
GPU_OFF;
GPU_FULL_ON;
@ -406,7 +440,7 @@ TEST(CartToPolar)
}
///////////// PolarToCart ////////////////////////
TEST(PolarToCart)
PERFTEST(PolarToCart)
{
Mat src1, src2, dst, dst1;
ocl::oclMat d_src1, d_src2, d_dst, d_dst1;
@ -438,9 +472,16 @@ TEST(PolarToCart)
ocl::polarToCart(d_src1, d_src2, d_dst, d_dst1, 1);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
cv::Mat ocl_mat_dst1;
d_dst1.download(ocl_mat_dst1);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst1, dst1, 0.5)&&ExpectedMatNear(ocl_mat_dst, dst, 0.5));
GPU_ON;
ocl::polarToCart(d_src1, d_src2, d_dst, d_dst1, 1);
;
GPU_OFF;
GPU_FULL_ON;
@ -456,7 +497,7 @@ TEST(PolarToCart)
}
///////////// Magnitude ////////////////////////
TEST(magnitude)
PERFTEST(magnitude)
{
Mat x, y, mag;
ocl::oclMat d_x, d_y, d_mag;
@ -485,9 +526,13 @@ TEST(magnitude)
ocl::magnitude(d_x, d_y, d_mag);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_mag.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, mag, 1e-5));
GPU_ON;
ocl::magnitude(d_x, d_y, d_mag);
;
GPU_OFF;
GPU_FULL_ON;
@ -502,7 +547,7 @@ TEST(magnitude)
}
///////////// Transpose ////////////////////////
TEST(Transpose)
PERFTEST(Transpose)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -530,9 +575,13 @@ TEST(Transpose)
ocl::transpose(d_src, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 1e-5));
GPU_ON;
ocl::transpose(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -546,7 +595,7 @@ TEST(Transpose)
}
///////////// Flip ////////////////////////
TEST(Flip)
PERFTEST(Flip)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -574,9 +623,13 @@ TEST(Flip)
ocl::flip(d_src, d_dst, 0);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 1e-5));
GPU_ON;
ocl::flip(d_src, d_dst, 0);
;
GPU_OFF;
GPU_FULL_ON;
@ -590,12 +643,13 @@ TEST(Flip)
}
///////////// minMax ////////////////////////
TEST(minMax)
PERFTEST(minMax)
{
Mat src;
ocl::oclMat d_src;
double min_val, max_val;
double min_val = 0.0, max_val = 0.0;
double min_val_ = 0.0, max_val_ = 0.0;
Point min_loc, max_loc;
int all_type[] = {CV_8UC1, CV_32FC1};
std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
@ -614,12 +668,13 @@ TEST(minMax)
d_src.upload(src);
WARMUP_ON;
ocl::minMax(d_src, &min_val, &max_val);
ocl::minMax(d_src, &min_val_, &max_val_);
WARMUP_OFF;
TestSystem::instance().setAccurate(EeceptDoubleEQ<double>(max_val_, max_val)&&EeceptDoubleEQ<double>(min_val_, min_val));
GPU_ON;
ocl::minMax(d_src, &min_val, &max_val);
;
GPU_OFF;
GPU_FULL_ON;
@ -633,13 +688,15 @@ TEST(minMax)
}
///////////// minMaxLoc ////////////////////////
TEST(minMaxLoc)
PERFTEST(minMaxLoc)
{
Mat src;
ocl::oclMat d_src;
double min_val, max_val;
double min_val = 0.0, max_val = 0.0;
double min_val_ = 0.0, max_val_ = 0.0;
Point min_loc, max_loc;
Point min_loc_, max_loc_;
int all_type[] = {CV_8UC1, CV_32FC1};
std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
@ -657,12 +714,83 @@ TEST(minMaxLoc)
d_src.upload(src);
WARMUP_ON;
ocl::minMaxLoc(d_src, &min_val, &max_val, &min_loc, &max_loc);
ocl::minMaxLoc(d_src, &min_val_, &max_val_, &min_loc_, &max_loc_);
WARMUP_OFF;
double error0 = 0., error1 = 0., minlocVal = 0., minlocVal_ = 0., maxlocVal = 0., maxlocVal_ = 0.;
if(src.depth() == 0)
{
minlocVal = src.at<unsigned char>(min_loc);
minlocVal_ = src.at<unsigned char>(min_loc_);
maxlocVal = src.at<unsigned char>(max_loc);
maxlocVal_ = src.at<unsigned char>(max_loc_);
error0 = ::abs(src.at<unsigned char>(min_loc_) - src.at<unsigned char>(min_loc));
error1 = ::abs(src.at<unsigned char>(max_loc_) - src.at<unsigned char>(max_loc));
}
if(src.depth() == 1)
{
minlocVal = src.at<signed char>(min_loc);
minlocVal_ = src.at<signed char>(min_loc_);
maxlocVal = src.at<signed char>(max_loc);
maxlocVal_ = src.at<signed char>(max_loc_);
error0 = ::abs(src.at<signed char>(min_loc_) - src.at<signed char>(min_loc));
error1 = ::abs(src.at<signed char>(max_loc_) - src.at<signed char>(max_loc));
}
if(src.depth() == 2)
{
minlocVal = src.at<unsigned short>(min_loc);
minlocVal_ = src.at<unsigned short>(min_loc_);
maxlocVal = src.at<unsigned short>(max_loc);
maxlocVal_ = src.at<unsigned short>(max_loc_);
error0 = ::abs(src.at<unsigned short>(min_loc_) - src.at<unsigned short>(min_loc));
error1 = ::abs(src.at<unsigned short>(max_loc_) - src.at<unsigned short>(max_loc));
}
if(src.depth() == 3)
{
minlocVal = src.at<signed short>(min_loc);
minlocVal_ = src.at<signed short>(min_loc_);
maxlocVal = src.at<signed short>(max_loc);
maxlocVal_ = src.at<signed short>(max_loc_);
error0 = ::abs(src.at<signed short>(min_loc_) - src.at<signed short>(min_loc));
error1 = ::abs(src.at<signed short>(max_loc_) - src.at<signed short>(max_loc));
}
if(src.depth() == 4)
{
minlocVal = src.at<int>(min_loc);
minlocVal_ = src.at<int>(min_loc_);
maxlocVal = src.at<int>(max_loc);
maxlocVal_ = src.at<int>(max_loc_);
error0 = ::abs(src.at<int>(min_loc_) - src.at<int>(min_loc));
error1 = ::abs(src.at<int>(max_loc_) - src.at<int>(max_loc));
}
if(src.depth() == 5)
{
minlocVal = src.at<float>(min_loc);
minlocVal_ = src.at<float>(min_loc_);
maxlocVal = src.at<float>(max_loc);
maxlocVal_ = src.at<float>(max_loc_);
error0 = ::abs(src.at<float>(min_loc_) - src.at<float>(min_loc));
error1 = ::abs(src.at<float>(max_loc_) - src.at<float>(max_loc));
}
if(src.depth() == 6)
{
minlocVal = src.at<double>(min_loc);
minlocVal_ = src.at<double>(min_loc_);
maxlocVal = src.at<double>(max_loc);
maxlocVal_ = src.at<double>(max_loc_);
error0 = ::abs(src.at<double>(min_loc_) - src.at<double>(min_loc));
error1 = ::abs(src.at<double>(max_loc_) - src.at<double>(max_loc));
}
TestSystem::instance().setAccurate(EeceptDoubleEQ<double>(error1, 0.0)
&&EeceptDoubleEQ<double>(error0, 0.0)
&&EeceptDoubleEQ<double>(maxlocVal_, maxlocVal)
&&EeceptDoubleEQ<double>(minlocVal_, minlocVal)
&&EeceptDoubleEQ<double>(max_val_, max_val)
&&EeceptDoubleEQ<double>(min_val_, min_val));
GPU_ON;
ocl::minMaxLoc(d_src, &min_val, &max_val, &min_loc, &max_loc);
;
GPU_OFF;
GPU_FULL_ON;
@ -675,7 +803,7 @@ TEST(minMaxLoc)
}
///////////// Sum ////////////////////////
TEST(Sum)
PERFTEST(Sum)
{
Mat src;
Scalar cpures, gpures;
@ -690,7 +818,7 @@ TEST(Sum)
{
SUBTEST << size << 'x' << size << "; " << type_name[j] ;
gen(src, size, size, all_type[j], 0, 256);
gen(src, size, size, all_type[j], 0, 60);
cpures = sum(src);
@ -703,9 +831,14 @@ TEST(Sum)
gpures = ocl::sum(d_src);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExceptDoubleNear(cpures[3], gpures[3], 0.1)
&&ExceptDoubleNear(cpures[2], gpures[2], 0.1)
&&ExceptDoubleNear(cpures[1], gpures[1], 0.1)
&&ExceptDoubleNear(cpures[0], gpures[0], 0.1));
GPU_ON;
gpures = ocl::sum(d_src);
;
GPU_OFF;
GPU_FULL_ON;
@ -718,7 +851,7 @@ TEST(Sum)
}
///////////// countNonZero ////////////////////////
TEST(countNonZero)
PERFTEST(countNonZero)
{
Mat src;
ocl::oclMat d_src;
@ -736,18 +869,20 @@ TEST(countNonZero)
countNonZero(src);
int cpures = 0, gpures = 0;
CPU_ON;
countNonZero(src);
cpures = countNonZero(src);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::countNonZero(d_src);
gpures = ocl::countNonZero(d_src);
WARMUP_OFF;
TestSystem::instance().setAccurate((EeceptDoubleEQ<double>((double)cpures, (double)gpures)));
GPU_ON;
ocl::countNonZero(d_src);
;
GPU_OFF;
GPU_FULL_ON;
@ -760,7 +895,7 @@ TEST(countNonZero)
}
///////////// Phase ////////////////////////
TEST(Phase)
PERFTEST(Phase)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -791,9 +926,13 @@ TEST(Phase)
ocl::phase(d_src1, d_src2, d_dst, 1);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 1e-2));
GPU_ON;
ocl::phase(d_src1, d_src2, d_dst, 1);
;
GPU_OFF;
GPU_FULL_ON;
@ -808,7 +947,7 @@ TEST(Phase)
}
///////////// bitwise_and////////////////////////
TEST(bitwise_and)
PERFTEST(bitwise_and)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -839,9 +978,13 @@ TEST(bitwise_and)
ocl::bitwise_and(d_src1, d_src2, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 0.0));
GPU_ON;
ocl::bitwise_and(d_src1, d_src2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -855,104 +998,8 @@ TEST(bitwise_and)
}
}
///////////// bitwise_or////////////////////////
TEST(bitwise_or)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
int all_type[] = {CV_8UC1, CV_32SC1};
std::string type_name[] = {"CV_8UC1", "CV_32SC1"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
SUBTEST << size << 'x' << size << "; " << type_name[j];
gen(src1, size, size, all_type[j], 0, 256);
gen(src2, size, size, all_type[j], 0, 256);
gen(dst, size, size, all_type[j], 0, 256);
bitwise_or(src1, src2, dst);
CPU_ON;
bitwise_or(src1, src2, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::bitwise_or(d_src1, d_src2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::bitwise_or(d_src1, d_src2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::bitwise_or(d_src1, d_src2, d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
}
}
}
///////////// bitwise_xor////////////////////////
TEST(bitwise_xor)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
int all_type[] = {CV_8UC1, CV_32SC1};
std::string type_name[] = {"CV_8UC1", "CV_32SC1"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
SUBTEST << size << 'x' << size << "; " << type_name[j];
gen(src1, size, size, all_type[j], 0, 256);
gen(src2, size, size, all_type[j], 0, 256);
gen(dst, size, size, all_type[j], 0, 256);
bitwise_xor(src1, src2, dst);
CPU_ON;
bitwise_xor(src1, src2, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::bitwise_xor(d_src1, d_src2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::bitwise_xor(d_src1, d_src2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::bitwise_xor(d_src1, d_src2, d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
}
}
}
///////////// bitwise_not////////////////////////
TEST(bitwise_not)
PERFTEST(bitwise_not)
{
Mat src1, dst;
ocl::oclMat d_src1, d_dst;
@ -981,9 +1028,13 @@ TEST(bitwise_not)
ocl::bitwise_not(d_src1, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 0.0));
GPU_ON;
ocl::bitwise_not(d_src1, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -997,7 +1048,7 @@ TEST(bitwise_not)
}
///////////// compare////////////////////////
TEST(compare)
PERFTEST(compare)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -1029,9 +1080,13 @@ TEST(compare)
ocl::compare(d_src1, d_src2, d_dst, CMP_EQ);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 0.0));
GPU_ON;
ocl::compare(d_src1, d_src2, d_dst, CMP_EQ);
;
GPU_OFF;
GPU_FULL_ON;
@ -1046,7 +1101,7 @@ TEST(compare)
}
///////////// pow ////////////////////////
TEST(pow)
PERFTEST(pow)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -1060,8 +1115,7 @@ TEST(pow)
{
SUBTEST << size << 'x' << size << "; " << type_name[j] ;
gen(src, size, size, all_type[j], 0, 100);
gen(dst, size, size, all_type[j], 0, 100);
gen(src, size, size, all_type[j], 5, 16);
pow(src, -2.0, dst);
@ -1075,9 +1129,13 @@ TEST(pow)
ocl::pow(d_src, -2.0, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 1.0));
GPU_ON;
ocl::pow(d_src, -2.0, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -1091,7 +1149,7 @@ TEST(pow)
}
///////////// MagnitudeSqr////////////////////////
TEST(MagnitudeSqr)
PERFTEST(MagnitudeSqr)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -1121,44 +1179,48 @@ TEST(MagnitudeSqr)
}
CPU_ON;
CPU_ON;
for (int i = 0; i < src1.rows; ++i)
for (int j = 0; j < src1.cols; ++j)
{
float val1 = src1.at<float>(i, j);
float val2 = src2.at<float>(i, j);
for (int i = 0; i < src1.rows; ++i)
for (int j = 0; j < src1.cols; ++j)
{
float val1 = src1.at<float>(i, j);
float val2 = src2.at<float>(i, j);
((float *)(dst.data))[i * dst.step / 4 + j] = val1 * val1 + val2 * val2;
((float *)(dst.data))[i * dst.step / 4 + j] = val1 * val1 + val2 * val2;
}
}
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::magnitudeSqr(d_src1, d_src2, d_dst);
WARMUP_OFF;
WARMUP_ON;
ocl::magnitudeSqr(d_src1, d_src2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::magnitudeSqr(d_src1, d_src2, d_dst);
;
GPU_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::magnitudeSqr(d_src1, d_src2, d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 1.0));
GPU_ON;
ocl::magnitudeSqr(d_src1, d_src2, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::magnitudeSqr(d_src1, d_src2, d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
}
}
}
///////////// AddWeighted////////////////////////
TEST(AddWeighted)
PERFTEST(AddWeighted)
{
Mat src1, src2, dst;
ocl::oclMat d_src1, d_src2, d_dst;
@ -1190,9 +1252,13 @@ TEST(AddWeighted)
ocl::addWeighted(d_src1, alpha, d_src2, beta, gama, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat_dst;
d_dst.download(ocl_mat_dst);
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat_dst, dst, 1e-5));
GPU_ON;
ocl::addWeighted(d_src1, alpha, d_src2, beta, gama, d_dst);
;
GPU_OFF;
GPU_FULL_ON;

8
modules/ocl/perf/perf_blend.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -68,7 +69,7 @@ void blendLinearGold(const cv::Mat &img1, const cv::Mat &img2, const cv::Mat &we
}
}
}
TEST(blend)
PERFTEST(blend)
{
Mat src1, src2, weights1, weights2, dst;
ocl::oclMat d_src1, d_src2, d_weights1, d_weights2, d_dst;
@ -102,9 +103,12 @@ TEST(blend)
ocl::blendLinear(d_src1, d_src2, d_weights1, d_weights2, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat;
d_dst.download(ocl_mat);
TestSystem::instance().setAccurate(ExpectedMatNear(dst, ocl_mat, 1.f));
GPU_ON;
ocl::blendLinear(d_src1, d_src2, d_weights1, d_weights2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;

18
modules/ocl/perf/perf_brute_force_matcher.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
//////////////////// BruteForceMatch /////////////////
TEST(BruteForceMatcher)
PERFTEST(BruteForceMatcher)
{
Mat trainIdx_cpu;
Mat distance_cpu;
@ -66,6 +67,7 @@ TEST(BruteForceMatcher)
gen(train, size, desc_len, CV_32F, 0, 1);
// Output
vector< vector<DMatch> > matches(2);
vector< vector<DMatch> > d_matches(2);
// Init GPU matcher
ocl::BruteForceMatcher_OCL_base d_matcher(ocl::BruteForceMatcher_OCL_base::L2Dist);
@ -86,9 +88,11 @@ TEST(BruteForceMatcher)
d_matcher.matchSingle(d_query, d_train, d_trainIdx, d_distance);
WARMUP_OFF;
d_matcher.match(d_query, d_train, d_matches[0]);
TestSystem::instance().setAccurate(AssertEQ<size_t>(d_matches[0].size(), matches[0].size()));
GPU_ON;
d_matcher.matchSingle(d_query, d_train, d_trainIdx, d_distance);
;
GPU_OFF;
GPU_FULL_ON;
@ -111,15 +115,16 @@ TEST(BruteForceMatcher)
GPU_ON;
d_matcher.knnMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_allDist, 2);
;
GPU_OFF;
GPU_FULL_ON;
d_query.upload(query);
d_train.upload(train);
d_matcher.knnMatch(d_query, d_train, matches, 2);
d_matcher.knnMatch(d_query, d_train, d_matches, 2);
GPU_FULL_OFF;
TestSystem::instance().setAccurate(AssertEQ<size_t>(d_matches[0].size(), matches[0].size()));
SUBTEST << size << "; radiusMatch";
float max_distance = 2.0f;
@ -138,13 +143,14 @@ TEST(BruteForceMatcher)
GPU_ON;
d_matcher.radiusMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_nMatches, max_distance);
;
GPU_OFF;
GPU_FULL_ON;
d_query.upload(query);
d_train.upload(train);
d_matcher.radiusMatch(d_query, d_train, matches, max_distance);
d_matcher.radiusMatch(d_query, d_train, d_matches, max_distance);
GPU_FULL_OFF;
TestSystem::instance().setAccurate(AssertEQ<size_t>(d_matches[0].size(), matches[0].size()));
}
}

6
modules/ocl/perf/perf_canny.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// Canny ////////////////////////
TEST(Canny)
PERFTEST(Canny)
{
Mat img = imread(abspath("aloeL.jpg"), IMREAD_GRAYSCALE);
@ -70,9 +71,10 @@ TEST(Canny)
ocl::Canny(d_img, d_buf, d_edges, 50.0, 100.0);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExceptedMatSimilar(edges, d_edges, 2e-2));
GPU_ON;
ocl::Canny(d_img, d_buf, d_edges, 50.0, 100.0);
;
GPU_OFF;
GPU_FULL_ON;

10
modules/ocl/perf/perf_color.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// cvtColor////////////////////////
TEST(cvtColor)
PERFTEST(cvtColor)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -72,9 +73,12 @@ TEST(cvtColor)
ocl::cvtColor(d_src, d_dst, COLOR_RGBA2GRAY, 4);
WARMUP_OFF;
cv::Mat ocl_mat;
d_dst.download(ocl_mat);
TestSystem::instance().setAccurate(ExceptedMatSimilar(dst, ocl_mat, 1e-5));
GPU_ON;
ocl::cvtColor(d_src, d_dst, COLOR_RGBA2GRAY, 4);
;
GPU_OFF;
GPU_FULL_ON;
@ -88,4 +92,4 @@ TEST(cvtColor)
}
}
}

15
modules/ocl/perf/perf_columnsum.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// columnSum////////////////////////
TEST(columnSum)
PERFTEST(columnSum)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -58,12 +59,13 @@ TEST(columnSum)
CPU_ON;
dst.create(src.size(), src.type());
for (int j = 0; j < src.cols; j++)
dst.at<float>(0, j) = src.at<float>(0, j);
for (int i = 1; i < src.rows; ++i)
{
for (int j = 0; j < src.cols; ++j)
{for (int j = 0; j < src.cols; ++j)
{
dst.at<float>(i, j) = src.at<float>(i, j) += src.at<float>(i - 1, j);
dst.at<float>(i, j) = dst.at<float>(i - 1 , j) + src.at<float>(i , j);
}
}
@ -74,9 +76,12 @@ TEST(columnSum)
ocl::columnSum(d_src, d_dst);
WARMUP_OFF;
cv::Mat ocl_mat;
d_dst.download(ocl_mat);
TestSystem::instance().setAccurate(ExpectedMatNear(dst, ocl_mat, 5e-1));
GPU_ON;
ocl::columnSum(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;

10
modules/ocl/perf/perf_fft.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,13 +46,13 @@
#include "precomp.hpp"
///////////// dft ////////////////////////
TEST(dft)
PERFTEST(dft)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
int all_type[] = {CV_32FC1, CV_32FC2};
std::string type_name[] = {"CV_32FC1", "CV_32FC2"};
int all_type[] = {CV_32FC2};
std::string type_name[] = {"CV_32FC2"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
@ -73,9 +74,10 @@ TEST(dft)
ocl::dft(d_src, d_dst, Size(size, size));
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), src.size().area() * 1e-4));
GPU_ON;
ocl::dft(d_src, d_dst, Size(size, size));
;
GPU_OFF;
GPU_FULL_ON;

46
modules/ocl/perf/perf_filters.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// Blur////////////////////////
TEST(Blur)
PERFTEST(Blur)
{
Mat src1, dst;
ocl::oclMat d_src1, d_dst;
@ -77,9 +78,10 @@ TEST(Blur)
ocl::blur(d_src1, d_dst, ksize, Point(-1, -1), bordertype);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(d_dst), dst, 1.0));
GPU_ON;
ocl::blur(d_src1, d_dst, ksize, Point(-1, -1), bordertype);
;
GPU_OFF;
GPU_FULL_ON;
@ -92,7 +94,7 @@ TEST(Blur)
}
}
///////////// Laplacian////////////////////////
TEST(Laplacian)
PERFTEST(Laplacian)
{
Mat src1, dst;
ocl::oclMat d_src1, d_dst;
@ -123,9 +125,10 @@ TEST(Laplacian)
ocl::Laplacian(d_src1, d_dst, -1, ksize, 1);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(d_dst), dst, 1e-5));
GPU_ON;
ocl::Laplacian(d_src1, d_dst, -1, ksize, 1);
;
GPU_OFF;
GPU_FULL_ON;
@ -139,7 +142,7 @@ TEST(Laplacian)
}
///////////// Erode ////////////////////
TEST(Erode)
PERFTEST(Erode)
{
Mat src, dst, ker;
ocl::oclMat d_src, d_dst;
@ -168,9 +171,10 @@ TEST(Erode)
ocl::erode(d_src, d_dst, ker);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(d_dst), dst, 1e-5));
GPU_ON;
ocl::erode(d_src, d_dst, ker);
;
GPU_OFF;
GPU_FULL_ON;
@ -184,7 +188,7 @@ TEST(Erode)
}
///////////// Sobel ////////////////////////
TEST(Sobel)
PERFTEST(Sobel)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -214,9 +218,10 @@ TEST(Sobel)
ocl::Sobel(d_src, d_dst, -1, dx, dy);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(d_dst), dst, 1));
GPU_ON;
ocl::Sobel(d_src, d_dst, -1, dx, dy);
;
GPU_OFF;
GPU_FULL_ON;
@ -229,7 +234,7 @@ TEST(Sobel)
}
}
///////////// Scharr ////////////////////////
TEST(Scharr)
PERFTEST(Scharr)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -259,9 +264,10 @@ TEST(Scharr)
ocl::Scharr(d_src, d_dst, -1, dx, dy);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(d_dst), dst, 1));
GPU_ON;
ocl::Scharr(d_src, d_dst, -1, dx, dy);
;
GPU_OFF;
GPU_FULL_ON;
@ -275,7 +281,7 @@ TEST(Scharr)
}
///////////// GaussianBlur ////////////////////////
TEST(GaussianBlur)
PERFTEST(GaussianBlur)
{
Mat src, dst;
int all_type[] = {CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4};
@ -288,6 +294,8 @@ TEST(GaussianBlur)
SUBTEST << size << 'x' << size << "; " << type_name[j] ;
gen(src, size, size, all_type[j], 0, 256);
dst = src;
dst.setTo(0);
GaussianBlur(src, dst, Size(9, 9), 0);
@ -303,9 +311,11 @@ TEST(GaussianBlur)
ocl::GaussianBlur(d_src, d_dst, Size(9, 9), 0);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(d_dst), dst, 1.0));
GPU_ON;
ocl::GaussianBlur(d_src, d_dst, Size(9, 9), 0);
;
GPU_OFF;
GPU_FULL_ON;
@ -319,7 +329,7 @@ TEST(GaussianBlur)
}
///////////// filter2D////////////////////////
TEST(filter2D)
PERFTEST(filter2D)
{
Mat src;
@ -339,7 +349,8 @@ TEST(filter2D)
Mat kernel;
gen(kernel, ksize, ksize, CV_32FC1, 0.0, 1.0);
Mat dst;
Mat dst(src);
dst.setTo(0);
cv::filter2D(src, dst, -1, kernel);
CPU_ON;
@ -347,15 +358,18 @@ TEST(filter2D)
CPU_OFF;
ocl::oclMat d_src(src);
ocl::oclMat d_dst;
ocl::oclMat d_dst(d_src);
d_dst.setTo(0);
WARMUP_ON;
ocl::filter2D(d_src, d_dst, -1, kernel);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(d_dst), dst, 1e-5));
GPU_ON;
ocl::filter2D(d_src, d_dst, -1, kernel);
;
GPU_OFF;
GPU_FULL_ON;

5
modules/ocl/perf/perf_gemm.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// gemm ////////////////////////
TEST(gemm)
PERFTEST(gemm)
{
Mat src1, src2, src3, dst;
ocl::oclMat d_src1, d_src2, d_src3, d_dst;
@ -71,10 +72,10 @@ TEST(gemm)
WARMUP_ON;
ocl::gemm(d_src1, d_src2, 1.0, d_src3, 1.0, d_dst);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(d_dst), dst, src1.cols * src1.rows * 1e-4));
GPU_ON;
ocl::gemm(d_src1, d_src2, 1.0, d_src3, 1.0, d_dst);
;
GPU_OFF;
GPU_FULL_ON;

17
modules/ocl/perf/perf_haar.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -84,7 +85,7 @@ public:
}
}
TEST(Haar)
PERFTEST(Haar)
{
Mat img = imread(abspath("basketball1.png"), IMREAD_GRAYSCALE);
@ -108,6 +109,8 @@ TEST(Haar)
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
CPU_OFF;
vector<Rect> oclfaces;
ocl::CascadeClassifier_GPU faceCascade;
if (!faceCascade.load(abspath("haarcascade_frontalface_alt.xml")))
@ -117,24 +120,24 @@ TEST(Haar)
ocl::oclMat d_img(img);
faces.clear();
WARMUP_ON;
faceCascade.detectMultiScale(d_img, faces,
faceCascade.detectMultiScale(d_img, oclfaces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
WARMUP_OFF;
//Testing whether the expected is equal to the actual.
TestSystem::instance().setAccurate(ExpectedEQ<vector<Rect>::size_type, vector<Rect>::size_type>(faces.size(), oclfaces.size()));
faces.clear();
GPU_ON;
faceCascade.detectMultiScale(d_img, faces,
faceCascade.detectMultiScale(d_img, oclfaces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
;
GPU_OFF;
GPU_FULL_ON;
d_img.upload(img);
faceCascade.detectMultiScale(d_img, faces,
faceCascade.detectMultiScale(d_img, oclfaces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
GPU_FULL_OFF;
}

80
modules/ocl/perf/perf_hog.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,13 @@
#include "precomp.hpp"
///////////// HOG////////////////////////
TEST(HOG)
bool match_rect(cv::Rect r1, cv::Rect r2, int threshold)
{
return ((abs(r1.x - r2.x) < threshold) && (abs(r1.y - r2.y) < threshold) &&
(abs(r1.width - r2.width) < threshold) && (abs(r1.height - r2.height) < threshold));
}
PERFTEST(HOG)
{
Mat src = imread(abspath("road.png"), cv::IMREAD_GRAYSCALE);
@ -58,6 +65,7 @@ TEST(HOG)
cv::HOGDescriptor hog;
hog.setSVMDetector(hog.getDefaultPeopleDetector());
std::vector<cv::Rect> found_locations;
std::vector<cv::Rect> d_found_locations;
SUBTEST << 768 << 'x' << 576 << "; road.png";
@ -73,12 +81,78 @@ TEST(HOG)
d_src.upload(src);
WARMUP_ON;
ocl_hog.detectMultiScale(d_src, found_locations);
ocl_hog.detectMultiScale(d_src, d_found_locations);
WARMUP_OFF;
// Ground-truth rectangular people window
cv::Rect win1_64x128(231, 190, 72, 144);
cv::Rect win2_64x128(621, 156, 97, 194);
cv::Rect win1_48x96(238, 198, 63, 126);
cv::Rect win2_48x96(619, 161, 92, 185);
cv::Rect win3_48x96(488, 136, 56, 112);
// Compare whether ground-truth windows are detected and compare the number of windows detected.
std::vector<int> d_comp(4);
std::vector<int> comp(4);
for(int i = 0; i < (int)d_comp.size(); i++)
{
d_comp[i] = 0;
comp[i] = 0;
}
int threshold = 10;
int val = 32;
d_comp[0] = (int)d_found_locations.size();
comp[0] = (int)found_locations.size();
cv::Size winSize = hog.winSize;
if (winSize == cv::Size(48, 96))
{
for(int i = 0; i < (int)d_found_locations.size(); i++)
{
if (match_rect(d_found_locations[i], win1_48x96, threshold))
d_comp[1] = val;
if (match_rect(d_found_locations[i], win2_48x96, threshold))
d_comp[2] = val;
if (match_rect(d_found_locations[i], win3_48x96, threshold))
d_comp[3] = val;
}
for(int i = 0; i < (int)found_locations.size(); i++)
{
if (match_rect(found_locations[i], win1_48x96, threshold))
comp[1] = val;
if (match_rect(found_locations[i], win2_48x96, threshold))
comp[2] = val;
if (match_rect(found_locations[i], win3_48x96, threshold))
comp[3] = val;
}
}
else if (winSize == cv::Size(64, 128))
{
for(int i = 0; i < (int)d_found_locations.size(); i++)
{
if (match_rect(d_found_locations[i], win1_64x128, threshold))
d_comp[1] = val;
if (match_rect(d_found_locations[i], win2_64x128, threshold))
d_comp[2] = val;
}
for(int i = 0; i < (int)found_locations.size(); i++)
{
if (match_rect(found_locations[i], win1_64x128, threshold))
comp[1] = val;
if (match_rect(found_locations[i], win2_64x128, threshold))
comp[2] = val;
}
}
cv::Mat ocl_mat;
ocl_mat = cv::Mat(d_comp);
ocl_mat.convertTo(ocl_mat, cv::Mat(comp).type());
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat, cv::Mat(comp), 3));
GPU_ON;
ocl_hog.detectMultiScale(d_src, found_locations);
;
GPU_OFF;
GPU_FULL_ON;

10
modules/ocl/perf/perf_hough.cpp
View File

@ -80,18 +80,18 @@ PERF_TEST_P(Size_Dp_MinDist, OCL_HoughCircles,
cv::circle(src, center, radius, cv::Scalar::all(255), -1);
}
cv::ocl::oclMat ocl_src(src);
cv::ocl::oclMat ocl_circles;
declare.time(10.0).iterations(25);
TEST_CYCLE()
{
cv::ocl::HoughCircles(ocl_src, ocl_circles, CV_HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
cv::ocl::HoughCircles(ocl_src, ocl_circles, HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
}
cv::Mat circles(ocl_circles);
cv::Mat circles(ocl_circles);
SANITY_CHECK(circles);
}

295
modules/ocl/perf/perf_imgproc.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// equalizeHist ////////////////////////
TEST(equalizeHist)
PERFTEST(equalizeHist)
{
Mat src, dst;
int all_type[] = {CV_8UC1};
@ -74,9 +75,11 @@ TEST(equalizeHist)
ocl::equalizeHist(d_src, d_dst);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.1));
GPU_ON;
ocl::equalizeHist(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -89,7 +92,7 @@ TEST(equalizeHist)
}
}
/////////// CopyMakeBorder //////////////////////
TEST(CopyMakeBorder)
PERFTEST(CopyMakeBorder)
{
Mat src, dst;
ocl::oclMat d_dst;
@ -119,9 +122,11 @@ TEST(CopyMakeBorder)
ocl::copyMakeBorder(d_src, d_dst, 7, 5, 5, 7, bordertype, cv::Scalar(1.0));
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 0.0));
GPU_ON;
ocl::copyMakeBorder(d_src, d_dst, 7, 5, 5, 7, bordertype, cv::Scalar(1.0));
;
GPU_OFF;
GPU_FULL_ON;
@ -134,7 +139,7 @@ TEST(CopyMakeBorder)
}
}
///////////// cornerMinEigenVal ////////////////////////
TEST(cornerMinEigenVal)
PERFTEST(cornerMinEigenVal)
{
Mat src, dst;
ocl::oclMat d_dst;
@ -165,9 +170,11 @@ TEST(cornerMinEigenVal)
ocl::cornerMinEigenVal(d_src, d_dst, blockSize, apertureSize, borderType);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
GPU_ON;
ocl::cornerMinEigenVal(d_src, d_dst, blockSize, apertureSize, borderType);
;
GPU_OFF;
GPU_FULL_ON;
@ -180,7 +187,7 @@ TEST(cornerMinEigenVal)
}
}
///////////// cornerHarris ////////////////////////
TEST(cornerHarris)
PERFTEST(cornerHarris)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -208,9 +215,10 @@ TEST(cornerHarris)
ocl::cornerHarris(d_src, d_dst, 5, 7, 0.1, BORDER_REFLECT);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
GPU_ON;
ocl::cornerHarris(d_src, d_dst, 5, 7, 0.1, BORDER_REFLECT);
;
GPU_OFF;
GPU_FULL_ON;
@ -224,7 +232,7 @@ TEST(cornerHarris)
}
}
///////////// integral ////////////////////////
TEST(integral)
PERFTEST(integral)
{
Mat src, sum;
ocl::oclMat d_src, d_sum, d_buf;
@ -252,9 +260,14 @@ TEST(integral)
ocl::integral(d_src, d_sum);
WARMUP_OFF;
cv::Mat ocl_mat;
d_sum.download(ocl_mat);
if(sum.type() == ocl_mat.type()) //we won't test accuracy when cpu function overlow
TestSystem::instance().setAccurate(ExpectedMatNear(sum, ocl_mat, 0.0));
GPU_ON;
ocl::integral(d_src, d_sum);
;
GPU_OFF;
GPU_FULL_ON;
@ -267,15 +280,15 @@ TEST(integral)
}
}
///////////// WarpAffine ////////////////////////
TEST(WarpAffine)
PERFTEST(WarpAffine)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
static const double coeffs[2][3] =
{
{cos(3.14 / 6), -sin(3.14 / 6), 100.0},
{sin(3.14 / 6), cos(3.14 / 6), -100.0}
{cos(CV_PI / 6), -sin(CV_PI / 6), 100.0},
{sin(CV_PI / 6), cos(CV_PI / 6), -100.0}
};
Mat M(2, 3, CV_64F, (void *)coeffs);
int interpolation = INTER_NEAREST;
@ -306,9 +319,10 @@ TEST(WarpAffine)
ocl::warpAffine(d_src, d_dst, M, size1, interpolation);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
GPU_ON;
ocl::warpAffine(d_src, d_dst, M, size1, interpolation);
;
GPU_OFF;
GPU_FULL_ON;
@ -321,19 +335,19 @@ TEST(WarpAffine)
}
}
///////////// WarpPerspective ////////////////////////
TEST(WarpPerspective)
PERFTEST(WarpPerspective)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
static const double coeffs[3][3] =
{
{cos(3.14 / 6), -sin(3.14 / 6), 100.0},
{sin(3.14 / 6), cos(3.14 / 6), -100.0},
{cos(CV_PI / 6), -sin(CV_PI / 6), 100.0},
{sin(CV_PI / 6), cos(CV_PI / 6), -100.0},
{0.0, 0.0, 1.0}
};
Mat M(3, 3, CV_64F, (void *)coeffs);
int interpolation = INTER_NEAREST;
int interpolation = INTER_LINEAR;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
@ -360,9 +374,10 @@ TEST(WarpPerspective)
ocl::warpPerspective(d_src, d_dst, M, size1, interpolation);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
GPU_ON;
ocl::warpPerspective(d_src, d_dst, M, size1, interpolation);
;
GPU_OFF;
GPU_FULL_ON;
@ -376,7 +391,7 @@ TEST(WarpPerspective)
}
///////////// resize ////////////////////////
TEST(resize)
PERFTEST(resize)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -405,9 +420,11 @@ TEST(resize)
ocl::resize(d_src, d_dst, Size(), 2.0, 2.0);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
GPU_ON;
ocl::resize(d_src, d_dst, Size(), 2.0, 2.0);
;
GPU_OFF;
GPU_FULL_ON;
@ -439,9 +456,10 @@ TEST(resize)
ocl::resize(d_src, d_dst, Size(), 0.5, 0.5);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
GPU_ON;
ocl::resize(d_src, d_dst, Size(), 0.5, 0.5);
;
GPU_OFF;
GPU_FULL_ON;
@ -454,7 +472,7 @@ TEST(resize)
}
}
///////////// threshold////////////////////////
TEST(threshold)
PERFTEST(threshold)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -478,9 +496,11 @@ TEST(threshold)
ocl::threshold(d_src, d_dst, 50.0, 0.0, THRESH_BINARY);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
GPU_ON;
ocl::threshold(d_src, d_dst, 50.0, 0.0, THRESH_BINARY);
;
GPU_OFF;
GPU_FULL_ON;
@ -509,9 +529,10 @@ TEST(threshold)
ocl::threshold(d_src, d_dst, 50.0, 0.0, THRESH_TRUNC);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
GPU_ON;
ocl::threshold(d_src, d_dst, 50.0, 0.0, THRESH_TRUNC);
;
GPU_OFF;
GPU_FULL_ON;
@ -522,9 +543,189 @@ TEST(threshold)
}
}
///////////// meanShiftFiltering////////////////////////
TEST(meanShiftFiltering)
COOR do_meanShift(int x0, int y0, uchar *sptr, uchar *dptr, int sstep, cv::Size size, int sp, int sr, int maxIter, float eps, int *tab)
{
int sp = 10, sr = 10;
int isr2 = sr * sr;
int c0, c1, c2, c3;
int iter;
uchar *ptr = NULL;
uchar *pstart = NULL;
int revx = 0, revy = 0;
c0 = sptr[0];
c1 = sptr[1];
c2 = sptr[2];
c3 = sptr[3];
// iterate meanshift procedure
for(iter = 0; iter < maxIter; iter++ )
{
int count = 0;
int s0 = 0, s1 = 0, s2 = 0, sx = 0, sy = 0;
//mean shift: process pixels in window (p-sigmaSp)x(p+sigmaSp)
int minx = x0 - sp;
int miny = y0 - sp;
int maxx = x0 + sp;
int maxy = y0 + sp;
//deal with the image boundary
if(minx < 0) minx = 0;
if(miny < 0) miny = 0;
if(maxx >= size.width) maxx = size.width - 1;
if(maxy >= size.height) maxy = size.height - 1;
if(iter == 0)
{
pstart = sptr;
}
else
{
pstart = pstart + revy * sstep + (revx << 2); //point to the new position
}
ptr = pstart;
ptr = ptr + (miny - y0) * sstep + ((minx - x0) << 2); //point to the start in the row
for( int y = miny; y <= maxy; y++, ptr += sstep - ((maxx - minx + 1) << 2))
{
int rowCount = 0;
int x = minx;
#if CV_ENABLE_UNROLLED
for( ; x + 4 <= maxx; x += 4, ptr += 16)
{
int t0, t1, t2;
t0 = ptr[0], t1 = ptr[1], t2 = ptr[2];
if(tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
{
s0 += t0;
s1 += t1;
s2 += t2;
sx += x;
rowCount++;
}
t0 = ptr[4], t1 = ptr[5], t2 = ptr[6];
if(tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
{
s0 += t0;
s1 += t1;
s2 += t2;
sx += x + 1;
rowCount++;
}
t0 = ptr[8], t1 = ptr[9], t2 = ptr[10];
if(tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
{
s0 += t0;
s1 += t1;
s2 += t2;
sx += x + 2;
rowCount++;
}
t0 = ptr[12], t1 = ptr[13], t2 = ptr[14];
if(tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
{
s0 += t0;
s1 += t1;
s2 += t2;
sx += x + 3;
rowCount++;
}
}
#endif
for(; x <= maxx; x++, ptr += 4)
{
int t0 = ptr[0], t1 = ptr[1], t2 = ptr[2];
if(tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
{
s0 += t0;
s1 += t1;
s2 += t2;
sx += x;
rowCount++;
}
}
if(rowCount == 0)
continue;
count += rowCount;
sy += y * rowCount;
}
if( count == 0 )
break;
int x1 = sx / count;
int y1 = sy / count;
s0 = s0 / count;
s1 = s1 / count;
s2 = s2 / count;
bool stopFlag = (x0 == x1 && y0 == y1) || (abs(x1 - x0) + abs(y1 - y0) +
tab[s0 - c0 + 255] + tab[s1 - c1 + 255] + tab[s2 - c2 + 255] <= eps);
//revise the pointer corresponding to the new (y0,x0)
revx = x1 - x0;
revy = y1 - y0;
x0 = x1;
y0 = y1;
c0 = s0;
c1 = s1;
c2 = s2;
if( stopFlag )
break;
} //for iter
dptr[0] = (uchar)c0;
dptr[1] = (uchar)c1;
dptr[2] = (uchar)c2;
dptr[3] = (uchar)c3;
COOR coor;
coor.x = static_cast<short>(x0);
coor.y = static_cast<short>(y0);
return coor;
}
void meanShiftFiltering_(const Mat &src_roi, Mat &dst_roi, int sp, int sr, cv::TermCriteria crit);
void meanShiftFiltering_(const Mat &src_roi, Mat &dst_roi, int sp, int sr, cv::TermCriteria crit)
{
if( src_roi.empty() )
CV_Error( Error::StsBadArg, "The input image is empty" );
if( src_roi.depth() != CV_8U || src_roi.channels() != 4 )
CV_Error( Error::StsUnsupportedFormat, "Only 8-bit, 4-channel images are supported" );
CV_Assert( (src_roi.cols == dst_roi.cols) && (src_roi.rows == dst_roi.rows) );
CV_Assert( !(dst_roi.step & 0x3) );
if( !(crit.type & cv::TermCriteria::MAX_ITER) )
crit.maxCount = 5;
int maxIter = std::min(std::max(crit.maxCount, 1), 100);
float eps;
if( !(crit.type & cv::TermCriteria::EPS) )
eps = 1.f;
eps = (float)std::max(crit.epsilon, 0.0);
int tab[512];
for(int i = 0; i < 512; i++)
tab[i] = (i - 255) * (i - 255);
uchar *sptr = src_roi.data;
uchar *dptr = dst_roi.data;
int sstep = (int)src_roi.step;
int dstep = (int)dst_roi.step;
cv::Size size = src_roi.size();
for(int i = 0; i < size.height; i++, sptr += sstep - (size.width << 2),
dptr += dstep - (size.width << 2))
{
for(int j = 0; j < size.width; j++, sptr += 4, dptr += 4)
{
do_meanShift(j, i, sptr, dptr, sstep, size, sp, sr, maxIter, eps, tab);
}
}
}
PERFTEST(meanShiftFiltering)
{
int sp = 5, sr = 6;
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -533,25 +734,32 @@ TEST(meanShiftFiltering)
{
SUBTEST << size << 'x' << size << "; 8UC3 vs 8UC4";
gen(src, size, size, CV_8UC3, Scalar::all(0), Scalar::all(256));
gen(src, size, size, CV_8UC4, Scalar::all(0), Scalar::all(256));
//gen(dst, size, size, CV_8UC4, Scalar::all(0), Scalar::all(256));
dst = src;
dst.setTo(0);
pyrMeanShiftFiltering(src, dst, sp, sr);
cv::TermCriteria crit(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, 5, 1);
meanShiftFiltering_(src, dst, sp, sr, crit);
CPU_ON;
pyrMeanShiftFiltering(src, dst, sp, sr);
meanShiftFiltering_(src, dst, sp, sr, crit);
CPU_OFF;
gen(src, size, size, CV_8UC4, Scalar::all(0), Scalar::all(256));
d_src.upload(src);
WARMUP_ON;
ocl::meanShiftFiltering(d_src, d_dst, sp, sr);
ocl::meanShiftFiltering(d_src, d_dst, sp, sr, crit);
WARMUP_OFF;
cv::Mat ocl_mat;
d_dst.download(ocl_mat);
TestSystem::instance().setAccurate(ExpectedMatNear(dst, ocl_mat, 0.0));
GPU_ON;
ocl::meanShiftFiltering(d_src, d_dst, sp, sr);
;
GPU_OFF;
GPU_FULL_ON;
@ -562,6 +770,7 @@ TEST(meanShiftFiltering)
}
}
///////////// meanShiftProc////////////////////////
#if 0
COOR do_meanShift(int x0, int y0, uchar *sptr, uchar *dptr, int sstep, cv::Size size, int sp, int sr, int maxIter, float eps, int *tab)
{
@ -740,6 +949,7 @@ COOR do_meanShift(int x0, int y0, uchar *sptr, uchar *dptr, int sstep, cv::Size
coor.y = static_cast<short>(y0);
return coor;
}
#endif
void meanShiftProc_(const Mat &src_roi, Mat &dst_roi, Mat &dstCoor_roi, int sp, int sr, cv::TermCriteria crit)
{
@ -798,7 +1008,7 @@ void meanShiftProc_(const Mat &src_roi, Mat &dst_roi, Mat &dstCoor_roi, int sp,
}
}
TEST(meanShiftProc)
PERFTEST(meanShiftProc)
{
Mat src, dst, dstCoor_roi;
ocl::oclMat d_src, d_dst, d_dstCoor_roi;
@ -825,9 +1035,11 @@ TEST(meanShiftProc)
ocl::meanShiftProc(d_src, d_dst, d_dstCoor_roi, 5, 6, crit);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dstCoor_roi, cv::Mat(d_dstCoor_roi), 0.0)
&&ExpectedMatNear(dst, cv::Mat(d_dst), 0.0));
GPU_ON;
ocl::meanShiftProc(d_src, d_dst, d_dstCoor_roi, 5, 6, crit);
;
GPU_OFF;
GPU_FULL_ON;
@ -841,7 +1053,7 @@ TEST(meanShiftProc)
}
///////////// remap////////////////////////
TEST(remap)
PERFTEST(remap)
{
Mat src, dst, xmap, ymap;
ocl::oclMat d_src, d_dst, d_xmap, d_ymap;
@ -892,9 +1104,14 @@ TEST(remap)
ocl::remap(d_src, d_dst, d_xmap, d_ymap, interpolation, borderMode);
WARMUP_OFF;
if(interpolation == 0)
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 1.0));
else
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 2.0));
GPU_ON;
ocl::remap(d_src, d_dst, d_xmap, d_ymap, interpolation, borderMode);
;
GPU_OFF;
GPU_FULL_ON;
@ -905,4 +1122,4 @@ TEST(remap)
}
}
}
}

11
modules/ocl/perf/perf_match_template.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -52,7 +53,7 @@
// ocl::oclMat d_src(src), d_templ(templ), d_dst;
// ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
//}
TEST(matchTemplate)
PERFTEST(matchTemplate)
{
//InitMatchTemplate();
@ -89,9 +90,10 @@ TEST(matchTemplate)
ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), templ.rows * templ.cols * 1e-1));
GPU_ON;
ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR);
;
GPU_OFF;
GPU_FULL_ON;
@ -129,9 +131,10 @@ TEST(matchTemplate)
ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR_NORMED);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), templ.rows * templ.cols * 1e-1));
GPU_ON;
ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR_NORMED);
;
GPU_OFF;
GPU_FULL_ON;
@ -143,4 +146,4 @@ TEST(matchTemplate)
}
}
}
}
}

19
modules/ocl/perf/perf_matrix_operation.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// ConvertTo////////////////////////
TEST(ConvertTo)
PERFTEST(ConvertTo)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -76,9 +77,11 @@ TEST(ConvertTo)
d_src.convertTo(d_dst, CV_32FC1);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 0.0));
GPU_ON;
d_src.convertTo(d_dst, CV_32FC1);
;
GPU_OFF;
GPU_FULL_ON;
@ -91,7 +94,7 @@ TEST(ConvertTo)
}
}
///////////// copyTo////////////////////////
TEST(copyTo)
PERFTEST(copyTo)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
@ -122,9 +125,11 @@ TEST(copyTo)
d_src.copyTo(d_dst);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), 0.0));
GPU_ON;
d_src.copyTo(d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -137,7 +142,7 @@ TEST(copyTo)
}
}
///////////// setTo////////////////////////
TEST(setTo)
PERFTEST(setTo)
{
Mat src, dst;
Scalar val(1, 2, 3, 4);
@ -166,9 +171,11 @@ TEST(setTo)
d_src.setTo(val);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(src, cv::Mat(d_src), 1.0));
GPU_ON;
d_src.setTo(val);
;
GPU_OFF;
GPU_FULL_ON;

6
modules/ocl/perf/perf_norm.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// norm////////////////////////
TEST(norm)
PERFTEST(norm)
{
Mat src, buf;
ocl::oclMat d_src, d_buf;
@ -71,9 +72,10 @@ TEST(norm)
ocl::norm(d_src, d_buf, NORM_INF);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(src, cv::Mat(d_buf), .5));
GPU_ON;
ocl::norm(d_src, d_buf, NORM_INF);
;
GPU_OFF;
GPU_FULL_ON;

7
modules/ocl/perf/perf_pyrdown.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// pyrDown //////////////////////
TEST(pyrDown)
PERFTEST(pyrDown)
{
Mat src, dst;
int all_type[] = {CV_8UC1, CV_8UC4};
@ -72,9 +73,11 @@ TEST(pyrDown)
ocl::pyrDown(d_src, d_dst);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), dst.depth() == CV_32F ? 1e-4f : 1.0f));
GPU_ON;
ocl::pyrDown(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;

10
modules/ocl/perf/perf_pyrlk.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// PyrLKOpticalFlow ////////////////////////
TEST(PyrLKOpticalFlow)
PERFTEST(PyrLKOpticalFlow)
{
std::string images1[] = {"rubberwhale1.png", "aloeL.jpg"};
std::string images2[] = {"rubberwhale2.png", "aloeR.jpg"};
@ -115,9 +116,14 @@ TEST(PyrLKOpticalFlow)
d_pyrLK.sparse(d_frame0, d_frame1, d_pts, d_nextPts, d_status, &d_err);
WARMUP_OFF;
std::vector<cv::Point2f> ocl_nextPts(d_nextPts.cols);
std::vector<unsigned char> ocl_status(d_status.cols);
TestSystem::instance().setAccurate(AssertEQ<size_t>(nextPts.size(), ocl_nextPts.size()));
TestSystem::instance().setAccurate(AssertEQ<size_t>(status.size(), ocl_status.size()));
GPU_ON;
d_pyrLK.sparse(d_frame0, d_frame1, d_pts, d_nextPts, d_status, &d_err);
;
GPU_OFF;
GPU_FULL_ON;

6
modules/ocl/perf/perf_pyrup.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// pyrUp ////////////////////////
TEST(pyrUp)
PERFTEST(pyrUp)
{
Mat src, dst;
int all_type[] = {CV_8UC1, CV_8UC4};
@ -72,9 +73,10 @@ TEST(pyrUp)
ocl::pyrUp(d_src, d_dst);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(dst, cv::Mat(d_dst), (src.depth() == CV_32F ? 1e-4f : 1.0)));
GPU_ON;
ocl::pyrUp(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;

24
modules/ocl/perf/perf_split_merge.cpp
View File

@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -45,7 +46,7 @@
#include "precomp.hpp"
///////////// Merge////////////////////////
TEST(Merge)
PERFTEST(Merge)
{
Mat dst;
ocl::oclMat d_dst;
@ -84,9 +85,10 @@ TEST(Merge)
ocl::merge(d_src, d_dst);
WARMUP_OFF;
TestSystem::instance().setAccurate(ExpectedMatNear(cv::Mat(dst), cv::Mat(d_dst), 0.0));
GPU_ON;
ocl::merge(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
@ -105,7 +107,7 @@ TEST(Merge)
}
///////////// Split////////////////////////
TEST(Split)
PERFTEST(Split)
{
//int channels = 4;
int all_type[] = {CV_8UC1, CV_32FC1};
@ -135,9 +137,23 @@ TEST(Split)
ocl::split(d_src, d_dst);
WARMUP_OFF;
if(d_dst.size() == dst.size())
{
TestSystem::instance().setAccurate(1);
for(size_t i = 0; i < dst.size(); i++)
{
if(ExpectedMatNear(dst[i], cv::Mat(d_dst[i]), 0.0) == 0)
{
TestSystem::instance().setAccurate(0);
break;
}
}
}else
TestSystem::instance().setAccurate(0);
GPU_ON;
ocl::split(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;

438
modules/ocl/perf/precomp.cpp
View File

@ -41,6 +41,10 @@
//M*/
#include "precomp.hpp"
#if GTEST_OS_WINDOWS
#define NOMINMAX
# include <windows.h>
#endif
// This program test most of the functions in ocl module and generate data metrix of x-factor in .csv files
// All images needed in this test are in samples/gpu folder.
@ -110,6 +114,7 @@ void TestSystem::finishCurrentSubtest()
return;
}
int is_accurate = is_accurate_;
double cpu_time = cpu_elapsed_ / getTickFrequency() * 1000.0;
double gpu_time = gpu_elapsed_ / getTickFrequency() * 1000.0;
double gpu_full_time = gpu_full_elapsed_ / getTickFrequency() * 1000.0;
@ -166,8 +171,8 @@ void TestSystem::finishCurrentSubtest()
deviation = std::sqrt(sum / gpu_times_.size());
}
printMetrics(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup);
writeMetrics(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, gpu_min, gpu_max, deviation);
printMetrics(is_accurate, cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup);
writeMetrics(is_accurate, cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, gpu_min, gpu_max, deviation);
num_subtests_called_++;
resetCurrentSubtest();
@ -184,10 +189,19 @@ double TestSystem::meanTime(const vector<int64> &samples)
void TestSystem::printHeading()
{
cout << endl;
cout << setiosflags(ios_base::left);
cout << TAB << setw(10) << "CPU, ms" << setw(10) << "GPU, ms"
<< setw(14) << "SPEEDUP" << setw(14) << "GPUTOTAL, ms" << setw(14) << "TOTALSPEEDUP"
<< "DESCRIPTION\n";
cout<< setiosflags(ios_base::left);
#if 0
cout<<TAB<<setw(7)<< "Accu." << setw(10) << "CPU (ms)" << setw(10) << "GPU, ms"
<< setw(8) << "Speedup"<< setw(10)<<"GPUTotal" << setw(10) << "Total"
<< "Description\n";
cout<<TAB<<setw(7)<<""<<setw(10)<<""<<setw(10)<<""<<setw(8)<<""<<setw(10)<<"(ms)"<<setw(10)<<"Speedup\n";
#endif
cout<<TAB<< setw(10) << "CPU (ms)" << setw(10) << "GPU, ms"
<< setw(8) << "Speedup"<< setw(10)<<"GPUTotal" << setw(10) << "Total"
<< "Description\n";
cout<<TAB<<setw(10)<<""<<setw(10)<<""<<setw(8)<<""<<setw(10)<<"(ms)"<<setw(10)<<"Speedup\n";
cout << resetiosflags(ios_base::left);
}
@ -198,9 +212,14 @@ void TestSystem::writeHeading()
{
recordname_ += "_OCL.csv";
record_ = fopen(recordname_.c_str(), "w");
if(record_ == NULL)
{
cout<<".csv file open failed.\n";
exit(0);
}
}
fprintf(record_, "NAME,DESCRIPTION,CPU (ms),GPU (ms),SPEEDUP,GPUTOTAL (ms),TOTALSPEEDUP,GPU Min (ms),GPU Max (ms), Standard deviation (ms)\n");
fprintf(record_, "NAME,DESCRIPTION,ACCURACY,CPU (ms),GPU (ms),SPEEDUP,GPUTOTAL (ms),TOTALSPEEDUP,GPU Min (ms),GPU Max (ms), Standard deviation (ms)\n");
fflush(record_);
}
@ -209,54 +228,82 @@ void TestSystem::printSummary()
{
cout << setiosflags(ios_base::fixed);
cout << "\naverage GPU speedup: x"
<< setprecision(3) << speedup_total_ / std::max(1, num_subtests_called_)
<< endl;
<< setprecision(3) << speedup_total_ / std::max(1, num_subtests_called_)
<< endl;
cout << "\nGPU exceeded: "
<< setprecision(3) << speedup_faster_count_
<< "\nGPU passed: "
<< setprecision(3) << speedup_equal_count_
<< "\nGPU failed: "
<< setprecision(3) << speedup_slower_count_
<< endl;
<< setprecision(3) << speedup_faster_count_
<< "\nGPU passed: "
<< setprecision(3) << speedup_equal_count_
<< "\nGPU failed: "
<< setprecision(3) << speedup_slower_count_
<< endl;
cout << "\nGPU exceeded rate: "
<< setprecision(3) << (float)speedup_faster_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPU passed rate: "
<< setprecision(3) << (float)speedup_equal_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPU failed rate: "
<< setprecision(3) << (float)speedup_slower_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< endl;
<< setprecision(3) << (float)speedup_faster_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPU passed rate: "
<< setprecision(3) << (float)speedup_equal_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPU failed rate: "
<< setprecision(3) << (float)speedup_slower_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< endl;
cout << "\naverage GPUTOTAL speedup: x"
<< setprecision(3) << speedup_full_total_ / std::max(1, num_subtests_called_)
<< endl;
<< setprecision(3) << speedup_full_total_ / std::max(1, num_subtests_called_)
<< endl;
cout << "\nGPUTOTAL exceeded: "
<< setprecision(3) << speedup_full_faster_count_
<< "\nGPUTOTAL passed: "
<< setprecision(3) << speedup_full_equal_count_
<< "\nGPUTOTAL failed: "
<< setprecision(3) << speedup_full_slower_count_
<< endl;
<< setprecision(3) << speedup_full_faster_count_
<< "\nGPUTOTAL passed: "
<< setprecision(3) << speedup_full_equal_count_
<< "\nGPUTOTAL failed: "
<< setprecision(3) << speedup_full_slower_count_
<< endl;
cout << "\nGPUTOTAL exceeded rate: "
<< setprecision(3) << (float)speedup_full_faster_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPUTOTAL passed rate: "
<< setprecision(3) << (float)speedup_full_equal_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPUTOTAL failed rate: "
<< setprecision(3) << (float)speedup_full_slower_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< endl;
<< setprecision(3) << (float)speedup_full_faster_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPUTOTAL passed rate: "
<< setprecision(3) << (float)speedup_full_equal_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< "\nGPUTOTAL failed rate: "
<< setprecision(3) << (float)speedup_full_slower_count_ / std::max(1, num_subtests_called_) * 100
<< "%"
<< endl;
cout << resetiosflags(ios_base::fixed);
}
void TestSystem::printMetrics(double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup)
{
cout << TAB << setiosflags(ios_base::left);
stringstream stream;
enum GTestColor {
COLOR_DEFAULT,
COLOR_RED,
COLOR_GREEN,
COLOR_YELLOW
};
#if GTEST_OS_WINDOWS&&!GTEST_OS_WINDOWS_MOBILE
// Returns the character attribute for the given color.
WORD GetColorAttribute(GTestColor color) {
switch (color) {
case COLOR_RED: return FOREGROUND_RED;
case COLOR_GREEN: return FOREGROUND_GREEN;
case COLOR_YELLOW: return FOREGROUND_RED | FOREGROUND_GREEN;
default: return 0;
}
}
#else
static const char* GetAnsiColorCode(GTestColor color) {
switch (color) {
case COLOR_RED: return "1";
case COLOR_GREEN: return "2";
case COLOR_YELLOW: return "3";
default: return NULL;
};
}
#endif
static void printMetricsUti(double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup, std::stringstream& stream, std::stringstream& cur_subtest_description)
{
//cout <<TAB<< setw(7) << stream.str();
cout <<TAB;
stream.str("");
stream << cpu_time;
cout << setw(10) << stream.str();
@ -266,21 +313,86 @@ void TestSystem::printMetrics(double cpu_time, double gpu_time, double gpu_full_
stream.str("");
stream << "x" << setprecision(3) << speedup;
cout << setw(14) << stream.str();
cout << setw(8) << stream.str();
stream.str("");
stream << gpu_full_time;
cout << setw(14) << stream.str();
cout << setw(10) << stream.str();
stream.str("");
stream << "x" << setprecision(3) << fullspeedup;
cout << setw(14) << stream.str();
cout << setw(10) << stream.str();
cout << cur_subtest_description_.str();
cout << cur_subtest_description.str();
cout << resetiosflags(ios_base::left) << endl;
}
void TestSystem::writeMetrics(double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup, double gpu_min, double gpu_max, double std_dev)
void TestSystem::printMetrics(int is_accurate, double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup)
{
cout << setiosflags(ios_base::left);
stringstream stream;
#if 0
if(is_accurate == 1)
stream << "Pass";
else if(is_accurate_ == 0)
stream << "Fail";
else if(is_accurate == -1)
stream << " ";
else
{
std::cout<<"is_accurate errer: "<<is_accurate<<"\n";
exit(-1);
}
#endif
std::stringstream &cur_subtest_description = getCurSubtestDescription();
#if GTEST_OS_WINDOWS&&!GTEST_OS_WINDOWS_MOBILE
WORD color;
const HANDLE stdout_handle = GetStdHandle(STD_OUTPUT_HANDLE);
// Gets the current text color.
CONSOLE_SCREEN_BUFFER_INFO buffer_info;
GetConsoleScreenBufferInfo(stdout_handle, &buffer_info);
const WORD old_color_attrs = buffer_info.wAttributes;
// We need to flush the stream buffers into the console before each
// SetConsoleTextAttribute call lest it affect the text that is already
// printed but has not yet reached the console.
fflush(stdout);
if(is_accurate == 1||is_accurate == -1)
{
color = old_color_attrs;
printMetricsUti(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, stream, cur_subtest_description);
}else
{
color = GetColorAttribute(COLOR_RED);
SetConsoleTextAttribute(stdout_handle,
color| FOREGROUND_INTENSITY);
printMetricsUti(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, stream, cur_subtest_description);
fflush(stdout);
// Restores the text color.
SetConsoleTextAttribute(stdout_handle, old_color_attrs);
}
#else
GTestColor color = COLOR_RED;
if(is_accurate == 1|| is_accurate == -1)
{
printMetricsUti(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, stream, cur_subtest_description);
}else
{
printf("\033[0;3%sm", GetAnsiColorCode(color));
printMetricsUti(cpu_time, gpu_time, gpu_full_time, speedup, fullspeedup, stream, cur_subtest_description);
printf("\033[m"); // Resets the terminal to default.
}
#endif
}
void TestSystem::writeMetrics(int is_accurate, double cpu_time, double gpu_time, double gpu_full_time, double speedup, double fullspeedup, double gpu_min, double gpu_max, double std_dev)
{
if (!record_)
{
@ -288,10 +400,24 @@ void TestSystem::writeMetrics(double cpu_time, double gpu_time, double gpu_full_
record_ = fopen(recordname_.c_str(), "w");
}
fprintf(record_, "%s,%s,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f\n", itname_changed_ ? itname_.c_str() : "",
cur_subtest_description_.str().c_str(),
cpu_time, gpu_time, speedup, gpu_full_time, fullspeedup,
gpu_min, gpu_max, std_dev);
string _is_accurate_;
if(is_accurate == 1)
_is_accurate_ = "Pass";
else if(is_accurate == 0)
_is_accurate_ = "Fail";
else if(is_accurate == -1)
_is_accurate_ = " ";
else
{
std::cout<<"is_accurate errer: "<<is_accurate<<"\n";
exit(-1);
}
fprintf(record_, "%s,%s,%s,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f\n", itname_changed_ ? itname_.c_str() : "",
cur_subtest_description_.str().c_str(),
_is_accurate_.c_str(), cpu_time, gpu_time, speedup, gpu_full_time, fullspeedup,
gpu_min, gpu_max, std_dev);
if (itname_changed_)
{
@ -310,22 +436,22 @@ void TestSystem::writeSummary()
}
fprintf(record_, "\nAverage GPU speedup: %.3f\n"
"exceeded: %d (%.3f%%)\n"
"passed: %d (%.3f%%)\n"
"failed: %d (%.3f%%)\n"
"\nAverage GPUTOTAL speedup: %.3f\n"
"exceeded: %d (%.3f%%)\n"
"passed: %d (%.3f%%)\n"
"failed: %d (%.3f%%)\n",
speedup_total_ / std::max(1, num_subtests_called_),
speedup_faster_count_, (float)speedup_faster_count_ / std::max(1, num_subtests_called_) * 100,
speedup_equal_count_, (float)speedup_equal_count_ / std::max(1, num_subtests_called_) * 100,
speedup_slower_count_, (float)speedup_slower_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_total_ / std::max(1, num_subtests_called_),
speedup_full_faster_count_, (float)speedup_full_faster_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_equal_count_, (float)speedup_full_equal_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_slower_count_, (float)speedup_full_slower_count_ / std::max(1, num_subtests_called_) * 100
);
"exceeded: %d (%.3f%%)\n"
"passed: %d (%.3f%%)\n"
"failed: %d (%.3f%%)\n"
"\nAverage GPUTOTAL speedup: %.3f\n"
"exceeded: %d (%.3f%%)\n"
"passed: %d (%.3f%%)\n"
"failed: %d (%.3f%%)\n",
speedup_total_ / std::max(1, num_subtests_called_),
speedup_faster_count_, (float)speedup_faster_count_ / std::max(1, num_subtests_called_) * 100,
speedup_equal_count_, (float)speedup_equal_count_ / std::max(1, num_subtests_called_) * 100,
speedup_slower_count_, (float)speedup_slower_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_total_ / std::max(1, num_subtests_called_),
speedup_full_faster_count_, (float)speedup_full_faster_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_equal_count_, (float)speedup_full_equal_count_ / std::max(1, num_subtests_called_) * 100,
speedup_full_slower_count_, (float)speedup_full_slower_count_ / std::max(1, num_subtests_called_) * 100
);
fflush(record_);
}
@ -343,9 +469,181 @@ void gen(Mat &mat, int rows, int cols, int type, Scalar low, Scalar high)
RNG rng(0);
rng.fill(mat, RNG::UNIFORM, low, high);
}
#if 0
void gen(Mat &mat, int rows, int cols, int type, int low, int high, int n)
{
assert(n > 0&&n <= cols * rows);
assert(type == CV_8UC1||type == CV_8UC3||type == CV_8UC4
||type == CV_32FC1||type == CV_32FC3||type == CV_32FC4);
RNG rng;
//generate random position without duplication
std::vector<int> pos;
for(int i = 0; i < cols * rows; i++)
{
pos.push_back(i);
}
for(int i = 0; i < cols * rows; i++)
{
int temp = i + rng.uniform(0, cols * rows - 1 - i);
int temp1 = pos[temp];
pos[temp]= pos[i];
pos[i] = temp1;
}
std::vector<int> selected_pos;
for(int i = 0; i < n; i++)
{
selected_pos.push_back(pos[i]);
}
pos.clear();
//end of generating random y without duplication
if(type == CV_8UC1)
{
typedef struct coorStruct_
{
int x;
int y;
uchar xy;
}coorStruct;
coorStruct coor_struct;
std::vector<coorStruct> coor;
for(int i = 0; i < n; i++)
{
coor_struct.x = -1;
coor_struct.y = -1;
coor_struct.xy = (uchar)rng.uniform(low, high);
coor.push_back(coor_struct);
}
for(int i = 0; i < n; i++)
{
coor[i].y = selected_pos[i]/cols;
coor[i].x = selected_pos[i]%cols;
}
selected_pos.clear();
mat.create(rows, cols, type);
mat.setTo(0);
for(int i = 0; i < n; i++)
{
mat.at<unsigned char>(coor[i].y, coor[i].x) = coor[i].xy;
}
}
if(type == CV_8UC4 || type == CV_8UC3)
{
mat.create(rows, cols, type);
mat.setTo(0);
typedef struct Coor
{
int x;
int y;
uchar r;
uchar g;
uchar b;
uchar alpha;
}coor;
std::vector<coor> coor_vect;
coor xy_coor;
for(int i = 0; i < n; i++)
{
xy_coor.r = (uchar)rng.uniform(low, high);
xy_coor.g = (uchar)rng.uniform(low, high);
xy_coor.b = (uchar)rng.uniform(low, high);
if(type == CV_8UC4)
xy_coor.alpha = (uchar)rng.uniform(low, high);
coor_vect.push_back(xy_coor);
}
for(int i = 0; i < n; i++)
{
coor_vect[i].y = selected_pos[i]/((int)mat.step1()/mat.elemSize());
coor_vect[i].x = selected_pos[i]%((int)mat.step1()/mat.elemSize());
//printf("coor_vect[%d] = (%d, %d)\n", i, coor_vect[i].y, coor_vect[i].x);
}
if(type == CV_8UC4)
{
for(int i = 0; i < n; i++)
{
mat.at<unsigned char>(coor_vect[i].y, 4 * coor_vect[i].x) = coor_vect[i].r;
mat.at<unsigned char>(coor_vect[i].y, 4 * coor_vect[i].x + 1) = coor_vect[i].g;
mat.at<unsigned char>(coor_vect[i].y, 4 * coor_vect[i].x + 2) = coor_vect[i].b;
mat.at<unsigned char>(coor_vect[i].y, 4 * coor_vect[i].x + 3) = coor_vect[i].alpha;
}
}else if(type == CV_8UC3)
{
for(int i = 0; i < n; i++)
{
mat.at<unsigned char>(coor_vect[i].y, 3 * coor_vect[i].x) = coor_vect[i].r;
mat.at<unsigned char>(coor_vect[i].y, 3 * coor_vect[i].x + 1) = coor_vect[i].g;
mat.at<unsigned char>(coor_vect[i].y, 3 * coor_vect[i].x + 2) = coor_vect[i].b;
}
}
}
}
#endif
string abspath(const string &relpath)
{
return TestSystem::instance().workingDir() + relpath;
}
double checkNorm(const Mat &m)
{
return norm(m, NORM_INF);
}
double checkNorm(const Mat &m1, const Mat &m2)
{
return norm(m1, m2, NORM_INF);
}
double checkSimilarity(const Mat &m1, const Mat &m2)
{
Mat diff;
matchTemplate(m1, m2, diff, TM_CCORR_NORMED);
return std::abs(diff.at<float>(0, 0) - 1.f);
}
int ExpectedMatNear(cv::Mat dst, cv::Mat cpu_dst, double eps)
{
assert(dst.type() == cpu_dst.type());
assert(dst.size() == cpu_dst.size());
if(checkNorm(cv::Mat(dst), cv::Mat(cpu_dst)) < eps ||checkNorm(cv::Mat(dst), cv::Mat(cpu_dst)) == eps)
return 1;
return 0;
}
int ExceptDoubleNear(double val1, double val2, double abs_error)
{
const double diff = fabs(val1 - val2);
if (diff <= abs_error)
return 1;
return 0;
}
int ExceptedMatSimilar(cv::Mat dst, cv::Mat cpu_dst, double eps)
{
assert(dst.type() == cpu_dst.type());
assert(dst.size() == cpu_dst.size());
if(checkSimilarity(cv::Mat(cpu_dst), cv::Mat(dst)) <= eps)
return 1;
return 0;
}

91
modules/ocl/perf/precomp.hpp
View File

@ -40,6 +40,14 @@
//
//M*/
#ifdef __GNUC__
# pragma GCC diagnostic ignored "-Wmissing-declarations"
# if defined __clang__ || defined __APPLE__
# pragma GCC diagnostic ignored "-Wmissing-prototypes"
# pragma GCC diagnostic ignored "-Wextra"
# endif
#endif
#include <iomanip>
#include <stdexcept>
#include <string>
@ -50,10 +58,14 @@
#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/calib3d.hpp"
#include "opencv2/video.hpp"
#include "opencv2/objdetect.hpp"
#include "opencv2/features2d.hpp"
#include "opencv2/ocl.hpp"
#include "opencv2/ts.hpp"
#include "opencv2/ts/ts_perf.hpp"
#include "opencv2/ts/ts_gtest.h"
#include "opencv2/core/utility.hpp"
@ -66,6 +78,8 @@ using namespace std;
using namespace cv;
void gen(Mat &mat, int rows, int cols, int type, Scalar low, Scalar high);
void gen(Mat &mat, int rows, int cols, int type, int low, int high, int n);
string abspath(const string &relpath);
typedef struct
@ -78,6 +92,50 @@ COOR do_meanShift(int x0, int y0, uchar *sptr, uchar *dptr, int sstep,
void meanShiftProc_(const Mat &src_roi, Mat &dst_roi, Mat &dstCoor_roi,
int sp, int sr, cv::TermCriteria crit);
template<class T1, class T2>
int ExpectedEQ(T1 expected, T2 actual)
{
if(expected == actual)
return 1;
return 0;
}
template<class T1>
int EeceptDoubleEQ(T1 expected, T1 actual)
{
testing::internal::Double lhs(expected);
testing::internal::Double rhs(actual);
if (lhs.AlmostEquals(rhs))
{
return 1;
}
return 0;
}
template<class T>
int AssertEQ(T expected, T actual)
{
if(expected == actual)
{
return 1;
}
return 0;
}
int ExceptDoubleNear(double val1, double val2, double abs_error);
bool match_rect(cv::Rect r1, cv::Rect r2, int threshold);
double checkNorm(const cv::Mat &m);
double checkNorm(const cv::Mat &m1, const cv::Mat &m2);
double checkSimilarity(const cv::Mat &m1, const cv::Mat &m2);
int ExpectedMatNear(cv::Mat dst, cv::Mat cpu_dst, double eps);
int ExceptedMatSimilar(cv::Mat dst, cv::Mat cpu_dst, double eps);
class Runnable
{
public:
@ -173,6 +231,16 @@ public:
return cur_iter_idx_ >= cpu_num_iters_;
}
int get_cur_iter_idx()
{
return cur_iter_idx_;
}
int get_cpu_num_iters()
{
return cpu_num_iters_;
}
bool warmupStop()
{
return cur_warmup_idx_++ >= gpu_warmup_iters_;
@ -254,6 +322,16 @@ public:
itname_changed_ = true;
}
void setAccurate(int is_accurate = -1)
{
is_accurate_ = is_accurate;
}
std::stringstream &getCurSubtestDescription()
{
return cur_subtest_description_;
}
private:
TestSystem():
cur_subtest_is_empty_(true), cpu_elapsed_(0),
@ -263,7 +341,8 @@ private:
speedup_full_faster_count_(0), speedup_full_slower_count_(0), speedup_full_equal_count_(0), is_list_mode_(false),
num_iters_(10), cpu_num_iters_(2),
gpu_warmup_iters_(1), cur_iter_idx_(0), cur_warmup_idx_(0),
record_(0), recordname_("performance"), itname_changed_(true)
record_(0), recordname_("performance"), itname_changed_(true),
is_accurate_(-1)
{
cpu_times_.reserve(num_iters_);
gpu_times_.reserve(num_iters_);
@ -279,20 +358,22 @@ private:
cur_subtest_description_.str("");
cur_subtest_is_empty_ = true;
cur_iter_idx_ = 0;
cur_warmup_idx_ = 0;
cpu_times_.clear();
gpu_times_.clear();
gpu_full_times_.clear();
is_accurate_ = -1;
}
double meanTime(const std::vector<int64> &samples);
void printHeading();
void printSummary();
void printMetrics(double cpu_time, double gpu_time = 0.0f, double gpu_full_time = 0.0f, double speedup = 0.0f, double fullspeedup = 0.0f);
void printMetrics(int is_accurate, double cpu_time, double gpu_time = 0.0f, double gpu_full_time = 0.0f, double speedup = 0.0f, double fullspeedup = 0.0f);
void writeHeading();
void writeSummary();
void writeMetrics(double cpu_time, double gpu_time = 0.0f, double gpu_full_time = 0.0f,
void writeMetrics(int is_accurate, double cpu_time, double gpu_time = 0.0f, double gpu_full_time = 0.0f,
double speedup = 0.0f, double fullspeedup = 0.0f,
double gpu_min = 0.0f, double gpu_max = 0.0f, double std_dev = 0.0f);
@ -342,6 +423,8 @@ private:
std::string recordname_;
std::string itname_;
bool itname_changed_;
int is_accurate_;
};
@ -355,7 +438,7 @@ struct name##_init: Runnable { \
void name##_init::run()
#define TEST(name) \
#define PERFTEST(name) \
struct name##_test: Runnable { \
name##_test(): Runnable(#name) { \
TestSystem::instance().addTest(this); \

2
modules/ocl/test/test_gemm.cpp
View File

@ -74,7 +74,7 @@ TEST_P(Gemm, Accuracy)
cv::gemm(a, b, 1.0, c, 1.0, dst, flags);
cv::ocl::gemm(cv::ocl::oclMat(a), cv::ocl::oclMat(b), 1.0, cv::ocl::oclMat(c), 1.0, ocl_dst, flags);
EXPECT_MAT_NEAR(dst, ocl_dst, mat_size.area() * 1e-4, "");
EXPECT_MAT_NEAR(dst, ocl_dst, mat_size.area() * 1e-4);
}
INSTANTIATE_TEST_CASE_P(ocl_gemm, Gemm, testing::Combine(