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opencv/modules/ocl/perf/perf_arithm.cpp

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/*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
//
// 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 "precomp.hpp"
///////////// Lut ////////////////////////
TEST(lut)
{
Mat src, lut, 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);
gen(dst, size, size, all_type[j], 0, 256);
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(dst);
GPU_FULL_OFF;
}
}
}
///////////// Exp ////////////////////////
TEST(Exp)
{
Mat src, 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, 0, 256);
gen(dst, size, size, CV_32FC1, 0, 256);
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(dst);
GPU_FULL_OFF;
}
}
///////////// LOG ////////////////////////
TEST(Log)
{
Mat src, 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(dst);
GPU_FULL_OFF;
}
}
///////////// Add ////////////////////////
TEST(Add)
{
Mat src1, src2, 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(dst);
GPU_FULL_OFF;
}
}
}
///////////// Mul ////////////////////////
TEST(Mul)
{
Mat src1, src2, 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);
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(dst);
GPU_FULL_OFF;
}
}
}
///////////// Div ////////////////////////
TEST(Div)
{
Mat src1, src2, 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);
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(dst);
GPU_FULL_OFF;
}
}
}
///////////// Absdiff ////////////////////////
TEST(Absdiff)
{
Mat src1, src2, 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(dst);
GPU_FULL_OFF;
}
}
}
///////////// CartToPolar ////////////////////////
TEST(CartToPolar)
{
Mat src1, src2, dst, 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(dst);
d_dst1.download(dst1);
GPU_FULL_OFF;
}
}
}
///////////// PolarToCart ////////////////////////
TEST(PolarToCart)
{
Mat src1, src2, dst, 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(dst);
d_dst1.download(dst1);
GPU_FULL_OFF;
}
}
}
///////////// Magnitude ////////////////////////
TEST(magnitude)
{
Mat x, y, 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(mag);
GPU_FULL_OFF;
}
}
}
///////////// Transpose ////////////////////////
TEST(Transpose)
{
Mat src, 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(dst);
GPU_FULL_OFF;
}
}
}
///////////// Flip ////////////////////////
TEST(Flip)
{
Mat src, 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(dst);
GPU_FULL_OFF;
}
}
}
///////////// minMax ////////////////////////
TEST(minMax)
{
Mat src;
ocl::oclMat d_src;
double min_val, max_val;
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;
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 ////////////////////////
TEST(minMaxLoc)
{
Mat src;
ocl::oclMat d_src;
double min_val, max_val;
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;
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 ////////////////////////
TEST(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, 256);
cpures = sum(src);
CPU_ON;
cpures = sum(src);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
gpures = ocl::sum(d_src);
WARMUP_OFF;
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 ////////////////////////
TEST(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);
CPU_ON;
countNonZero(src);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::countNonZero(d_src);
WARMUP_OFF;
GPU_ON;
ocl::countNonZero(d_src);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::countNonZero(d_src);
GPU_FULL_OFF;
}
}
}
///////////// Phase ////////////////////////
TEST(Phase)
{
Mat src1, src2, 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(dst);
GPU_FULL_OFF;
}
}
}
///////////// bitwise_and////////////////////////
TEST(bitwise_and)
{
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_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(dst);
GPU_FULL_OFF;
}
}
}
///////////// 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)
{
Mat src1, 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(dst);
GPU_FULL_OFF;
}
}
}
///////////// compare////////////////////////
TEST(compare)
{
Mat src1, src2, 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(dst);
GPU_FULL_OFF;
}
}
}
///////////// pow ////////////////////////
TEST(pow)
{
Mat src, 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], 0, 100);
gen(dst, size, size, all_type[j], 0, 100);
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(dst);
GPU_FULL_OFF;
}
}
}
///////////// MagnitudeSqr////////////////////////
TEST(MagnitudeSqr)
{
Mat src1, src2, 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);
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_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(dst);
GPU_FULL_OFF;
}
}
}
///////////// AddWeighted////////////////////////
TEST(AddWeighted)
{
Mat src1, src2, 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(dst);
GPU_FULL_OFF;
}
}
}
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