Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity
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.
8088 Commits
6 Branches
126 Tags
3.0 GiB
 
 
 
 
 
 
Tag: Branch: Tree: 0d8cb2e319
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '0d8cb2e319'
${ noResults }
opencv/modules/ocl/perf/perf_arithm.cpp

1197 lines
33 KiB
Raw Blame History

/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "perf_precomp.hpp"
///////////// Lut ////////////////////////
PERFTEST(lut)
{
Mat src, lut, dst, ocl_dst;
ocl::oclMat d_src, d_lut, d_dst;
int all_type[] = {CV_8UC1, CV_8UC3};
std::string type_name[] = {"CV_8UC1", "CV_8UC3"};
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(src, size, size, all_type[j], 0, 256);
gen(lut, 1, 256, CV_8UC1, 0, 1);
LUT(src, lut, dst);
CPU_ON;
LUT(src, lut, dst);
CPU_OFF;
d_src.upload(src);
d_lut.upload(lut);
WARMUP_ON;
ocl::LUT(d_src, d_lut, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::LUT(d_src, d_lut, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
d_lut.upload(lut);
ocl::LUT(d_src, d_lut, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 0);
}
}
}
///////////// Exp ////////////////////////
PERFTEST(Exp)
{
Mat src, dst, ocl_dst;
ocl::oclMat d_src, d_dst;
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
SUBTEST << size << 'x' << size << "; CV_32FC1";
gen(src, size, size, CV_32FC1, 5, 16);
exp(src, dst);
CPU_ON;
exp(src, dst);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::exp(d_src, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::exp(d_src, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::exp(d_src, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 2);
}
}
///////////// LOG ////////////////////////
PERFTEST(Log)
{
Mat src, dst, ocl_dst;
ocl::oclMat d_src, d_dst;
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
SUBTEST << size << 'x' << size << "; 32F";
gen(src, size, size, CV_32F, 1, 10);
log(src, dst);
CPU_ON;
log(src, dst);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::log(d_src, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::log(d_src, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::log(d_src, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1);
}
}
///////////// Add ////////////////////////
PERFTEST(Add)
{
Mat src1, src2, dst, ocl_dst;
ocl::oclMat d_src1, d_src2, d_dst;
int all_type[] = {CV_8UC1, CV_32FC1};
std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
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, 1);
gen(src2, size, size, all_type[j], 0, 1);
add(src1, src2, dst);
CPU_ON;
add(src1, src2, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::add(d_src1, d_src2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::add(d_src1, d_src2, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::add(d_src1, d_src2, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 0.0);
}
}
}
///////////// Mul ////////////////////////
PERFTEST(Mul)
{
Mat src1, src2, dst, ocl_dst;
ocl::oclMat d_src1, d_src2, d_dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
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);
multiply(src1, src2, dst);
CPU_ON;
multiply(src1, src2, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::multiply(d_src1, d_src2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::multiply(d_src1, d_src2, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::multiply(d_src1, d_src2, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 0.0);
}
}
}
///////////// Div ////////////////////////
PERFTEST(Div)
{
Mat src1, src2, dst, ocl_dst;
ocl::oclMat d_src1, d_src2, d_dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
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);
divide(src1, src2, dst);
CPU_ON;
divide(src1, src2, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::divide(d_src1, d_src2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::divide(d_src1, d_src2, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::divide(d_src1, d_src2, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1);
}
}
}
///////////// Absdiff ////////////////////////
PERFTEST(Absdiff)
{
Mat src1, src2, dst, ocl_dst;
ocl::oclMat d_src1, d_src2, d_dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
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);
absdiff(src1, src2, dst);
CPU_ON;
absdiff(src1, src2, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::absdiff(d_src1, d_src2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::absdiff(d_src1, d_src2, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::absdiff(d_src1, d_src2, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 0.0);
}
}
}
///////////// CartToPolar ////////////////////////
PERFTEST(CartToPolar)
{
Mat src1, src2, dst, dst1, ocl_dst, ocl_dst1;
ocl::oclMat d_src1, d_src2, d_dst, d_dst1;
int all_type[] = {CV_32FC1};
std::string type_name[] = {"CV_32FC1"};
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);
gen(dst1, size, size, all_type[j], 0, 256);
cartToPolar(src1, src2, dst, dst1, 1);
CPU_ON;
cartToPolar(src1, src2, dst, dst1, 1);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::cartToPolar(d_src1, d_src2, d_dst, d_dst1, 1);
WARMUP_OFF;
GPU_ON;
ocl::cartToPolar(d_src1, d_src2, d_dst, d_dst1, 1);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::cartToPolar(d_src1, d_src2, d_dst, d_dst1, 1);
d_dst.download(ocl_dst);
d_dst1.download(ocl_dst1);
GPU_FULL_OFF;
double diff1 = checkNorm(ocl_dst1, dst1);
double diff2 = checkNorm(ocl_dst, dst);
double max_diff = max(diff1, diff2);
TestSystem::instance().setAccurate(max_diff<=.5?1:0, max_diff);
}
}
}
///////////// PolarToCart ////////////////////////
PERFTEST(PolarToCart)
{
Mat src1, src2, dst, dst1, ocl_dst, ocl_dst1;
ocl::oclMat d_src1, d_src2, d_dst, d_dst1;
int all_type[] = {CV_32FC1};
std::string type_name[] = {"CV_32FC1"};
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);
gen(dst1, size, size, all_type[j], 0, 256);
polarToCart(src1, src2, dst, dst1, 1);
CPU_ON;
polarToCart(src1, src2, dst, dst1, 1);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::polarToCart(d_src1, d_src2, d_dst, d_dst1, 1);
WARMUP_OFF;
GPU_ON;
ocl::polarToCart(d_src1, d_src2, d_dst, d_dst1, 1);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::polarToCart(d_src1, d_src2, d_dst, d_dst1, 1);
d_dst.download(ocl_dst);
d_dst1.download(ocl_dst1);
GPU_FULL_OFF;
double diff1 = checkNorm(ocl_dst1, dst1);
double diff2 = checkNorm(ocl_dst, dst);
double max_diff = max(diff1, diff2);
TestSystem::instance().setAccurate(max_diff<=.5?1:0, max_diff);
}
}
}
///////////// Magnitude ////////////////////////
PERFTEST(magnitude)
{
Mat x, y, mag, ocl_mag;
ocl::oclMat d_x, d_y, d_mag;
int all_type[] = {CV_32FC1};
std::string type_name[] = {"CV_32FC1"};
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(x, size, size, all_type[j], 0, 1);
gen(y, size, size, all_type[j], 0, 1);
magnitude(x, y, mag);
CPU_ON;
magnitude(x, y, mag);
CPU_OFF;
d_x.upload(x);
d_y.upload(y);
WARMUP_ON;
ocl::magnitude(d_x, d_y, d_mag);
WARMUP_OFF;
GPU_ON;
ocl::magnitude(d_x, d_y, d_mag);
GPU_OFF;
GPU_FULL_ON;
d_x.upload(x);
d_y.upload(y);
ocl::magnitude(d_x, d_y, d_mag);
d_mag.download(ocl_mag);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_mag, mag, 1e-5);
}
}
}
///////////// Transpose ////////////////////////
PERFTEST(Transpose)
{
Mat src, dst, ocl_dst;
ocl::oclMat d_src, d_dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
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(src, size, size, all_type[j], 0, 256);
gen(dst, size, size, all_type[j], 0, 256);
transpose(src, dst);
CPU_ON;
transpose(src, dst);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::transpose(d_src, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::transpose(d_src, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::transpose(d_src, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1e-5);
}
}
}
///////////// Flip ////////////////////////
PERFTEST(Flip)
{
Mat src, dst, ocl_dst;
ocl::oclMat d_src, d_dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
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] << " ; FLIP_BOTH";
gen(src, size, size, all_type[j], 0, 256);
gen(dst, size, size, all_type[j], 0, 256);
flip(src, dst, 0);
CPU_ON;
flip(src, dst, 0);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::flip(d_src, d_dst, 0);
WARMUP_OFF;
GPU_ON;
ocl::flip(d_src, d_dst, 0);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::flip(d_src, d_dst, 0);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1e-5);
}
}
}
///////////// minMax ////////////////////////
PERFTEST(minMax)
{
Mat src;
ocl::oclMat d_src;
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"};
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(src, size, size, all_type[j], 0, 256);
CPU_ON;
minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::minMax(d_src, &min_val_, &max_val_);
WARMUP_OFF;
if(EeceptDoubleEQ<double>(max_val_, max_val) && EeceptDoubleEQ<double>(min_val_, min_val))
TestSystem::instance().setAccurate(1, max(fabs(max_val_-max_val), fabs(min_val_-min_val)));
else
TestSystem::instance().setAccurate(0, max(fabs(max_val_-max_val), fabs(min_val_-min_val)));
GPU_ON;
ocl::minMax(d_src, &min_val, &max_val);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::minMax(d_src, &min_val, &max_val);
GPU_FULL_OFF;
}
}
}
///////////// minMaxLoc ////////////////////////
PERFTEST(minMaxLoc)
{
Mat src;
ocl::oclMat d_src;
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"};
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(src, size, size, all_type[j], 0, 1);
CPU_ON;
minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
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_);
}
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_);
}
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_);
}
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_);
}
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_);
}
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_);
}
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(minlocVal_ - minlocVal);
error1 = ::abs(maxlocVal_ - maxlocVal);
if( EeceptDoubleEQ<double>(maxlocVal_, maxlocVal)
&&EeceptDoubleEQ<double>(minlocVal_, minlocVal)
&&EeceptDoubleEQ<double>(max_val_, max_val)
&&EeceptDoubleEQ<double>(min_val_, min_val))
TestSystem::instance().setAccurate(1, 0.);
else
TestSystem::instance().setAccurate(0, max(error0, error1));
GPU_ON;
ocl::minMaxLoc(d_src, &min_val, &max_val, &min_loc, &max_loc);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::minMaxLoc(d_src, &min_val, &max_val, &min_loc, &max_loc);
GPU_FULL_OFF;
}
}
}
///////////// Sum ////////////////////////
PERFTEST(Sum)
{
Mat src;
Scalar cpures, gpures;
ocl::oclMat d_src;
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(src, size, size, all_type[j], 0, 60);
cpures = sum(src);
CPU_ON;
cpures = sum(src);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
gpures = ocl::sum(d_src);
WARMUP_OFF;
vector<double> diffs(4);
diffs[3] = fabs(cpures[3] - gpures[3]);
diffs[2] = fabs(cpures[2] - gpures[2]);
diffs[1] = fabs(cpures[1] - gpures[1]);
diffs[0] = fabs(cpures[0] - gpures[0]);
double max_diff = *max_element(diffs.begin(), diffs.end());
TestSystem::instance().setAccurate(max_diff<0.1?1:0, max_diff);
GPU_ON;
gpures = ocl::sum(d_src);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
gpures = ocl::sum(d_src);
GPU_FULL_OFF;
}
}
}
///////////// countNonZero ////////////////////////
PERFTEST(countNonZero)
{
Mat src;
ocl::oclMat d_src;
int all_type[] = {CV_8UC1, CV_32FC1};
std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
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(src, size, size, all_type[j], 0, 256);
countNonZero(src);
int cpures = 0, gpures = 0;
CPU_ON;
cpures = countNonZero(src);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
gpures = ocl::countNonZero(d_src);
WARMUP_OFF;
int diff = abs(cpures - gpures);
if(diff == 0)
TestSystem::instance().setAccurate(1, 0);
else
TestSystem::instance().setAccurate(0, diff);
GPU_ON;
ocl::countNonZero(d_src);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::countNonZero(d_src);
GPU_FULL_OFF;
}
}
}
///////////// Phase ////////////////////////
PERFTEST(Phase)
{
Mat src1, src2, dst, ocl_dst;
ocl::oclMat d_src1, d_src2, d_dst;
int all_type[] = {CV_32FC1};
std::string type_name[] = {"CV_32FC1"};
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);
phase(src1, src2, dst, 1);
CPU_ON;
phase(src1, src2, dst, 1);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::phase(d_src1, d_src2, d_dst, 1);
WARMUP_OFF;
GPU_ON;
ocl::phase(d_src1, d_src2, d_dst, 1);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::phase(d_src1, d_src2, d_dst, 1);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1e-2);
}
}
}
///////////// bitwise_and////////////////////////
PERFTEST(bitwise_and)
{
Mat src1, src2, dst, ocl_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_and(src1, src2, dst);
CPU_ON;
bitwise_and(src1, src2, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::bitwise_and(d_src1, d_src2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::bitwise_and(d_src1, d_src2, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::bitwise_and(d_src1, d_src2, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 0.0);
}
}
}
///////////// bitwise_not////////////////////////
PERFTEST(bitwise_not)
{
Mat src1, dst, ocl_dst;
ocl::oclMat d_src1, 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(dst, size, size, all_type[j], 0, 256);
bitwise_not(src1, dst);
CPU_ON;
bitwise_not(src1, dst);
CPU_OFF;
d_src1.upload(src1);
WARMUP_ON;
ocl::bitwise_not(d_src1, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::bitwise_not(d_src1, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
ocl::bitwise_not(d_src1, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 0.0);
}
}
}
///////////// compare////////////////////////
PERFTEST(compare)
{
Mat src1, src2, dst, ocl_dst;
ocl::oclMat d_src1, d_src2, d_dst;
int CMP_EQ = 0;
int all_type[] = {CV_8UC1, CV_32FC1};
std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
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);
compare(src1, src2, dst, CMP_EQ);
CPU_ON;
compare(src1, src2, dst, CMP_EQ);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::compare(d_src1, d_src2, d_dst, CMP_EQ);
WARMUP_OFF;
GPU_ON;
ocl::compare(d_src1, d_src2, d_dst, CMP_EQ);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::compare(d_src1, d_src2, d_dst, CMP_EQ);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 0.0);
}
}
}
///////////// pow ////////////////////////
PERFTEST(pow)
{
Mat src, dst, ocl_dst;
ocl::oclMat d_src, d_dst;
int all_type[] = {CV_32FC1};
std::string type_name[] = {"CV_32FC1"};
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(src, size, size, all_type[j], 5, 16);
pow(src, -2.0, dst);
CPU_ON;
pow(src, -2.0, dst);
CPU_OFF;
d_src.upload(src);
d_dst.upload(dst);
WARMUP_ON;
ocl::pow(d_src, -2.0, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::pow(d_src, -2.0, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::pow(d_src, -2.0, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1.0);
}
}
}
///////////// MagnitudeSqr////////////////////////
PERFTEST(MagnitudeSqr)
{
Mat src1, src2, dst, ocl_dst;
ocl::oclMat d_src1, d_src2, d_dst;
int all_type[] = {CV_32FC1};
std::string type_name[] = {"CV_32FC1"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
for (size_t t = 0; t < sizeof(all_type) / sizeof(int); t++)
{
SUBTEST << size << 'x' << size << "; " << type_name[t];
gen(src1, size, size, all_type[t], 0, 256);
gen(src2, size, size, all_type[t], 0, 256);
gen(dst, size, size, all_type[t], 0, 256);
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);
((float *)(dst.data))[i * dst.step / 4 + j] = val1 * val1 + val2 * val2;
}
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::magnitudeSqr(d_src1, d_src2, d_dst);
WARMUP_OFF;
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(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1.0);
}
}
}
///////////// AddWeighted////////////////////////
PERFTEST(AddWeighted)
{
Mat src1, src2, dst, ocl_dst;
ocl::oclMat d_src1, d_src2, d_dst;
double alpha = 2.0, beta = 1.0, gama = 3.0;
int all_type[] = {CV_8UC1, CV_32FC1};
std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
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);
addWeighted(src1, alpha, src2, beta, gama, dst);
CPU_ON;
addWeighted(src1, alpha, src2, beta, gama, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
WARMUP_ON;
ocl::addWeighted(d_src1, alpha, d_src2, beta, gama, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::addWeighted(d_src1, alpha, d_src2, beta, gama, d_dst);
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
ocl::addWeighted(d_src1, alpha, d_src2, beta, gama, d_dst);
d_dst.download(ocl_dst);
GPU_FULL_OFF;
TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1e-5);
}
}
}