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opencv/modules/ocl/test/test_arithm.cpp
Roman Donchenko ec409a436d Merge pull request #1545 from alalek:ocl_test_fix_rng
2013-10-08 12:59:50 +04:00

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///////////////////////////////////////////////////////////////////////////////////////
//
// 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, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Niko Li, newlife20080214@gmail.com
// Jia Haipeng, jiahaipeng95@gmail.com
// Shengen Yan, yanshengen@gmail.com
// Jiang Liyuan,jlyuan001.good@163.com
// Rock Li, Rock.Li@amd.com
// Zailong Wu, bullet@yeah.net
// Yao Wang, bitwangyaoyao@gmail.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 "test_precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
//////////////////////////////// LUT /////////////////////////////////////////////////
PARAM_TEST_CASE(Lut, int, int, bool, bool)
{
int lut_depth;
int cn;
bool use_roi, same_cn;
// src mat
cv::Mat src;
cv::Mat lut;
cv::Mat dst;
// src mat with roi
cv::Mat src_roi;
cv::Mat lut_roi;
cv::Mat dst_roi;
// ocl dst mat for testing
cv::ocl::oclMat gsrc_whole;
cv::ocl::oclMat glut_whole;
cv::ocl::oclMat gdst_whole;
// ocl mat with roi
cv::ocl::oclMat gsrc_roi;
cv::ocl::oclMat glut_roi;
cv::ocl::oclMat gdst_roi;
virtual void SetUp()
{
lut_depth = GET_PARAM(0);
cn = GET_PARAM(1);
same_cn = GET_PARAM(2);
use_roi = GET_PARAM(3);
}
void random_roi()
{
const int src_type = CV_MAKE_TYPE(CV_8U, cn);
const int lut_type = CV_MAKE_TYPE(lut_depth, same_cn ? cn : 1);
const int dst_type = CV_MAKE_TYPE(lut_depth, cn);
Size roiSize = randomSize(1, MAX_VALUE);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, src_type, 0, 256);
Size lutRoiSize = Size(256, 1);
Border lutBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(lut, lut_roi, lutRoiSize, lutBorder, lut_type, 5, 16);
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, roiSize, dstBorder, dst_type, 5, 16);
generateOclMat(gsrc_whole, gsrc_roi, src, roiSize, srcBorder);
generateOclMat(glut_whole, glut_roi, lut, lutRoiSize, lutBorder);
generateOclMat(gdst_whole, gdst_roi, dst, roiSize, dstBorder);
}
void Near(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst, Mat(gdst_whole), threshold);
EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), threshold);
}
};
TEST_P(Lut, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::LUT(src_roi, lut_roi, dst_roi);
cv::ocl::LUT(gsrc_roi, glut_roi, gdst_roi);
Near();
}
}
///////////////////////// ArithmTestBase ///////////////////////////
PARAM_TEST_CASE(ArithmTestBase, int, int, bool)
{
int depth;
int cn;
bool use_roi;
cv::Scalar val;
// src mat
cv::Mat src1;
cv::Mat src2;
cv::Mat mask;
cv::Mat dst1;
cv::Mat dst2;
// src mat with roi
cv::Mat src1_roi;
cv::Mat src2_roi;
cv::Mat mask_roi;
cv::Mat dst1_roi;
cv::Mat dst2_roi;
// ocl dst mat for testing
cv::ocl::oclMat gsrc1_whole;
cv::ocl::oclMat gsrc2_whole;
cv::ocl::oclMat gdst1_whole;
cv::ocl::oclMat gdst2_whole;
cv::ocl::oclMat gmask_whole;
// ocl mat with roi
cv::ocl::oclMat gsrc1_roi;
cv::ocl::oclMat gsrc2_roi;
cv::ocl::oclMat gdst1_roi;
cv::ocl::oclMat gdst2_roi;
cv::ocl::oclMat gmask_roi;
virtual void SetUp()
{
depth = GET_PARAM(0);
cn = GET_PARAM(1);
use_roi = GET_PARAM(2);
val = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0),
rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0));
}
void random_roi()
{
const int type = CV_MAKE_TYPE(depth, cn);
Size roiSize = randomSize(1, MAX_VALUE);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, srcBorder, type, 2, 11);
Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src2, src2_roi, roiSize, src2Border, type, -1540, 1740);
Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst1, dst1_roi, roiSize, dst1Border, type, 5, 16);
Border dst2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst2, dst2_roi, roiSize, dst2Border, type, 5, 16);
Border maskBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(mask, mask_roi, roiSize, maskBorder, CV_8UC1, 0, 2);
cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
generateOclMat(gsrc1_whole, gsrc1_roi, src1, roiSize, srcBorder);
generateOclMat(gsrc2_whole, gsrc2_roi, src2, roiSize, src2Border);
generateOclMat(gdst1_whole, gdst1_roi, dst1, roiSize, dst1Border);
generateOclMat(gdst2_whole, gdst2_roi, dst2, roiSize, dst2Border);
generateOclMat(gmask_whole, gmask_roi, mask, roiSize, maskBorder);
}
void Near(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst1, Mat(gdst1_whole), threshold);
EXPECT_MAT_NEAR(dst1_roi, Mat(gdst1_roi), threshold);
}
void Near1(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst2, Mat(gdst2_whole), threshold);
EXPECT_MAT_NEAR(dst2_roi, Mat(gdst2_roi), threshold);
}
};
//////////////////////////////// Exp /////////////////////////////////////////////////
typedef ArithmTestBase Exp;
TEST_P(Exp, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::exp(src1_roi, dst1_roi);
cv::ocl::exp(gsrc1_roi, gdst1_roi);
Near(2);
}
}
//////////////////////////////// Log /////////////////////////////////////////////////
typedef ArithmTestBase Log;
TEST_P(Log, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::log(src1_roi, dst1_roi);
cv::ocl::log(gsrc1_roi, gdst1_roi);
Near(1);
}
}
//////////////////////////////// Add /////////////////////////////////////////////////
typedef ArithmTestBase Add;
TEST_P(Add, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::add(src1_roi, src2_roi, dst1_roi);
cv::ocl::add(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
TEST_P(Add, Mat_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::add(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::add(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
TEST_P(Add, Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::add(src1_roi, val, dst1_roi);
cv::ocl::add(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
TEST_P(Add, Scalar_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::add(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::add(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
//////////////////////////////// Sub /////////////////////////////////////////////////
typedef ArithmTestBase Sub;
TEST_P(Sub, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::subtract(src1_roi, src2_roi, dst1_roi);
cv::ocl::subtract(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
TEST_P(Sub, Mat_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::subtract(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::subtract(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
TEST_P(Sub, Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::subtract(src1_roi, val, dst1_roi);
cv::ocl::subtract(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
TEST_P(Sub, Scalar_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::subtract(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::subtract(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
//////////////////////////////// Mul /////////////////////////////////////////////////
typedef ArithmTestBase Mul;
TEST_P(Mul, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::multiply(src1_roi, src2_roi, dst1_roi);
cv::ocl::multiply(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
TEST_P(Mul, Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::multiply(val[0], src1_roi, dst1_roi);
cv::ocl::multiply(val[0], gsrc1_roi, gdst1_roi);
Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1);
}
}
TEST_P(Mul, Mat_Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::multiply(src1_roi, src2_roi, dst1_roi, val[0]);
cv::ocl::multiply(gsrc1_roi, gsrc2_roi, gdst1_roi, val[0]);
Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1);
}
}
//////////////////////////////// Div /////////////////////////////////////////////////
typedef ArithmTestBase Div;
TEST_P(Div, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::divide(src1_roi, src2_roi, dst1_roi);
cv::ocl::divide(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(1);
}
}
TEST_P(Div, Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::divide(val[0], src1_roi, dst1_roi);
cv::ocl::divide(val[0], gsrc1_roi, gdst1_roi);
Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1);
}
}
TEST_P(Div, Mat_Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::divide(src1_roi, src2_roi, dst1_roi, val[0]);
cv::ocl::divide(gsrc1_roi, gsrc2_roi, gdst1_roi, val[0]);
Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1);
}
}
//////////////////////////////// Absdiff /////////////////////////////////////////////////
typedef ArithmTestBase Absdiff;
TEST_P(Absdiff, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::absdiff(src1_roi, src2_roi, dst1_roi);
cv::ocl::absdiff(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
TEST_P(Absdiff, Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::absdiff(src1_roi, val, dst1_roi);
cv::ocl::absdiff(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
//////////////////////////////// CartToPolar /////////////////////////////////////////////////
typedef ArithmTestBase CartToPolar;
TEST_P(CartToPolar, angleInDegree)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi, true);
cv::ocl::cartToPolar(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi, true);
Near(.5);
Near1(.5);
}
}
TEST_P(CartToPolar, angleInRadians)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi);
cv::ocl::cartToPolar(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi);
Near(.5);
Near1(.5);
}
}
//////////////////////////////// PolarToCart /////////////////////////////////////////////////
typedef ArithmTestBase PolarToCart;
TEST_P(PolarToCart, angleInDegree)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi, true);
cv::ocl::polarToCart(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi, true);
Near(.5);
Near1(.5);
}
}
TEST_P(PolarToCart, angleInRadians)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi);
cv::ocl::polarToCart(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi);
Near(.5);
Near1(.5);
}
}
//////////////////////////////// Magnitude /////////////////////////////////////////////////
typedef ArithmTestBase Magnitude;
TEST_P(Magnitude, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::magnitude(src1_roi, src2_roi, dst1_roi);
cv::ocl::magnitude(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(depth == CV_64F ? 1e-5 : 1e-2);
}
}
//////////////////////////////// Transpose /////////////////////////////////////////////////
typedef ArithmTestBase Transpose;
TEST_P(Transpose, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::transpose(src1_roi, dst1_roi);
cv::ocl::transpose(gsrc1_roi, gdst1_roi);
Near(1e-5);
}
}
TEST_P(Transpose, SquareInplace)
{
const int type = CV_MAKE_TYPE(depth, cn);
for (int j = 0; j < LOOP_TIMES; j++)
{
Size roiSize = randomSize(1, MAX_VALUE);
roiSize.height = roiSize.width; // make it square
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, srcBorder, type, 5, 16);
generateOclMat(gsrc1_whole, gsrc1_roi, src1, roiSize, srcBorder);
cv::transpose(src1_roi, src1_roi);
cv::ocl::transpose(gsrc1_roi, gsrc1_roi);
EXPECT_MAT_NEAR(src1, Mat(gsrc1_whole), 0.0);
EXPECT_MAT_NEAR(src1_roi, Mat(gsrc1_roi), 0.0);
}
}
//////////////////////////////// Flip /////////////////////////////////////////////////
typedef ArithmTestBase Flip;
TEST_P(Flip, X)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::flip(src1_roi, dst1_roi, 0);
cv::ocl::flip(gsrc1_roi, gdst1_roi, 0);
Near(1e-5);
}
}
TEST_P(Flip, Y)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::flip(src1_roi, dst1_roi, 1);
cv::ocl::flip(gsrc1_roi, gdst1_roi, 1);
Near(1e-5);
}
}
TEST_P(Flip, BOTH)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::flip(src1_roi, dst1_roi, -1);
cv::ocl::flip(gsrc1_roi, gdst1_roi, -1);
Near(1e-5);
}
}
//////////////////////////////// MinMax /////////////////////////////////////////////////
typedef ArithmTestBase MinMax;
TEST_P(MinMax, MAT)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
double minVal, maxVal;
if (src1.depth() != CV_8S)
cv::minMaxIdx(src1_roi, &minVal, &maxVal, NULL, NULL);
else
{
minVal = std::numeric_limits<double>::max();
maxVal = -std::numeric_limits<double>::max();
for (int i = 0; i < src1_roi.rows; ++i)
for (int j = 0; j < src1_roi.cols; ++j)
{
signed char val = src1_roi.at<signed char>(i, j);
if (val < minVal) minVal = val;
if (val > maxVal) maxVal = val;
}
}
double minVal_, maxVal_;
cv::ocl::minMax(gsrc1_roi, &minVal_, &maxVal_);
EXPECT_DOUBLE_EQ(minVal_, minVal);
EXPECT_DOUBLE_EQ(maxVal_, maxVal);
}
}
TEST_P(MinMax, MASK)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
double minVal, maxVal;
cv::Point minLoc, maxLoc;
if (src1.depth() != CV_8S)
cv::minMaxLoc(src1_roi, &minVal, &maxVal, &minLoc, &maxLoc, mask_roi);
else
{
minVal = std::numeric_limits<double>::max();
maxVal = -std::numeric_limits<double>::max();
for (int i = 0; i < src1_roi.rows; ++i)
for (int j = 0; j < src1_roi.cols; ++j)
{
signed char val = src1_roi.at<signed char>(i, j);
unsigned char m = mask_roi.at<unsigned char>(i, j);
if (val < minVal && m) minVal = val;
if (val > maxVal && m) maxVal = val;
}
}
double minVal_, maxVal_;
cv::ocl::minMax(gsrc1_roi, &minVal_, &maxVal_, gmask_roi);
EXPECT_DOUBLE_EQ(minVal, minVal_);
EXPECT_DOUBLE_EQ(maxVal, maxVal_);
}
}
//////////////////////////////// MinMaxLoc /////////////////////////////////////////////////
typedef ArithmTestBase MinMaxLoc;
TEST_P(MinMaxLoc, MAT)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
double minVal, maxVal;
cv::Point minLoc, maxLoc;
int depth = src1.depth();
if (depth != CV_8S)
cv::minMaxLoc(src1_roi, &minVal, &maxVal, &minLoc, &maxLoc);
else
{
minVal = std::numeric_limits<double>::max();
maxVal = -std::numeric_limits<double>::max();
for (int i = 0; i < src1_roi.rows; ++i)
for (int j = 0; j < src1_roi.cols; ++j)
{
signed char val = src1_roi.at<signed char>(i, j);
if (val < minVal)
{
minVal = val;
minLoc.x = j;
minLoc.y = i;
}
if (val > maxVal)
{
maxVal = val;
maxLoc.x = j;
maxLoc.y = i;
}
}
}
double minVal_, maxVal_;
cv::Point minLoc_, maxLoc_;
cv::ocl::minMaxLoc(gsrc1_roi, &minVal_, &maxVal_, &minLoc_, &maxLoc_, cv::ocl::oclMat());
double error0 = 0., error1 = 0., minlocVal = 0., minlocVal_ = 0., maxlocVal = 0., maxlocVal_ = 0.;
if (depth == 0)
{
minlocVal = src1_roi.at<unsigned char>(minLoc);
minlocVal_ = src1_roi.at<unsigned char>(minLoc_);
maxlocVal = src1_roi.at<unsigned char>(maxLoc);
maxlocVal_ = src1_roi.at<unsigned char>(maxLoc_);
error0 = ::abs(src1_roi.at<unsigned char>(minLoc_) - src1_roi.at<unsigned char>(minLoc));
error1 = ::abs(src1_roi.at<unsigned char>(maxLoc_) - src1_roi.at<unsigned char>(maxLoc));
}
if (depth == 1)
{
minlocVal = src1_roi.at<signed char>(minLoc);
minlocVal_ = src1_roi.at<signed char>(minLoc_);
maxlocVal = src1_roi.at<signed char>(maxLoc);
maxlocVal_ = src1_roi.at<signed char>(maxLoc_);
error0 = ::abs(src1_roi.at<signed char>(minLoc_) - src1_roi.at<signed char>(minLoc));
error1 = ::abs(src1_roi.at<signed char>(maxLoc_) - src1_roi.at<signed char>(maxLoc));
}
if (depth == 2)
{
minlocVal = src1_roi.at<unsigned short>(minLoc);
minlocVal_ = src1_roi.at<unsigned short>(minLoc_);
maxlocVal = src1_roi.at<unsigned short>(maxLoc);
maxlocVal_ = src1_roi.at<unsigned short>(maxLoc_);
error0 = ::abs(src1_roi.at<unsigned short>(minLoc_) - src1_roi.at<unsigned short>(minLoc));
error1 = ::abs(src1_roi.at<unsigned short>(maxLoc_) - src1_roi.at<unsigned short>(maxLoc));
}
if (depth == 3)
{
minlocVal = src1_roi.at<signed short>(minLoc);
minlocVal_ = src1_roi.at<signed short>(minLoc_);
maxlocVal = src1_roi.at<signed short>(maxLoc);
maxlocVal_ = src1_roi.at<signed short>(maxLoc_);
error0 = ::abs(src1_roi.at<signed short>(minLoc_) - src1_roi.at<signed short>(minLoc));
error1 = ::abs(src1_roi.at<signed short>(maxLoc_) - src1_roi.at<signed short>(maxLoc));
}
if (depth == 4)
{
minlocVal = src1_roi.at<int>(minLoc);
minlocVal_ = src1_roi.at<int>(minLoc_);
maxlocVal = src1_roi.at<int>(maxLoc);
maxlocVal_ = src1_roi.at<int>(maxLoc_);
error0 = ::abs(src1_roi.at<int>(minLoc_) - src1_roi.at<int>(minLoc));
error1 = ::abs(src1_roi.at<int>(maxLoc_) - src1_roi.at<int>(maxLoc));
}
if (depth == 5)
{
minlocVal = src1_roi.at<float>(minLoc);
minlocVal_ = src1_roi.at<float>(minLoc_);
maxlocVal = src1_roi.at<float>(maxLoc);
maxlocVal_ = src1_roi.at<float>(maxLoc_);
error0 = ::abs(src1_roi.at<float>(minLoc_) - src1_roi.at<float>(minLoc));
error1 = ::abs(src1_roi.at<float>(maxLoc_) - src1_roi.at<float>(maxLoc));
}
if (depth == 6)
{
minlocVal = src1_roi.at<double>(minLoc);
minlocVal_ = src1_roi.at<double>(minLoc_);
maxlocVal = src1_roi.at<double>(maxLoc);
maxlocVal_ = src1_roi.at<double>(maxLoc_);
error0 = ::abs(src1_roi.at<double>(minLoc_) - src1_roi.at<double>(minLoc));
error1 = ::abs(src1_roi.at<double>(maxLoc_) - src1_roi.at<double>(maxLoc));
}
EXPECT_DOUBLE_EQ(minVal_, minVal);
EXPECT_DOUBLE_EQ(maxVal_, maxVal);
EXPECT_DOUBLE_EQ(minlocVal_, minlocVal);
EXPECT_DOUBLE_EQ(maxlocVal_, maxlocVal);
EXPECT_DOUBLE_EQ(error0, 0.0);
EXPECT_DOUBLE_EQ(error1, 0.0);
}
}
TEST_P(MinMaxLoc, MASK)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
double minVal, maxVal;
cv::Point minLoc, maxLoc;
int depth = src1.depth();
if (depth != CV_8S)
cv::minMaxLoc(src1_roi, &minVal, &maxVal, &minLoc, &maxLoc, mask_roi);
else
{
minVal = std::numeric_limits<double>::max();
maxVal = -std::numeric_limits<double>::max();
for (int i = 0; i < src1_roi.rows; ++i)
for (int j = 0; j < src1_roi.cols; ++j)
{
signed char val = src1_roi.at<signed char>(i, j);
unsigned char m = mask_roi.at<unsigned char>(i , j);
if (val < minVal && m)
{
minVal = val;
minLoc.x = j;
minLoc.y = i;
}
if (val > maxVal && m)
{
maxVal = val;
maxLoc.x = j;
maxLoc.y = i;
}
}
}
double minVal_, maxVal_;
cv::Point minLoc_, maxLoc_;
cv::ocl::minMaxLoc(gsrc1_roi, &minVal_, &maxVal_, &minLoc_, &maxLoc_, gmask_roi);
double error0 = 0., error1 = 0., minlocVal = 0., minlocVal_ = 0., maxlocVal = 0., maxlocVal_ = 0.;
if (minLoc_.x == -1 || minLoc_.y == -1 || maxLoc_.x == -1 || maxLoc_.y == -1) continue;
if (depth == 0)
{
minlocVal = src1_roi.at<unsigned char>(minLoc);
minlocVal_ = src1_roi.at<unsigned char>(minLoc_);
maxlocVal = src1_roi.at<unsigned char>(maxLoc);
maxlocVal_ = src1_roi.at<unsigned char>(maxLoc_);
error0 = ::abs(src1_roi.at<unsigned char>(minLoc_) - src1_roi.at<unsigned char>(minLoc));
error1 = ::abs(src1_roi.at<unsigned char>(maxLoc_) - src1_roi.at<unsigned char>(maxLoc));
}
if (depth == 1)
{
minlocVal = src1_roi.at<signed char>(minLoc);
minlocVal_ = src1_roi.at<signed char>(minLoc_);
maxlocVal = src1_roi.at<signed char>(maxLoc);
maxlocVal_ = src1_roi.at<signed char>(maxLoc_);
error0 = ::abs(src1_roi.at<signed char>(minLoc_) - src1_roi.at<signed char>(minLoc));
error1 = ::abs(src1_roi.at<signed char>(maxLoc_) - src1_roi.at<signed char>(maxLoc));
}
if (depth == 2)
{
minlocVal = src1_roi.at<unsigned short>(minLoc);
minlocVal_ = src1_roi.at<unsigned short>(minLoc_);
maxlocVal = src1_roi.at<unsigned short>(maxLoc);
maxlocVal_ = src1_roi.at<unsigned short>(maxLoc_);
error0 = ::abs(src1_roi.at<unsigned short>(minLoc_) - src1_roi.at<unsigned short>(minLoc));
error1 = ::abs(src1_roi.at<unsigned short>(maxLoc_) - src1_roi.at<unsigned short>(maxLoc));
}
if (depth == 3)
{
minlocVal = src1_roi.at<signed short>(minLoc);
minlocVal_ = src1_roi.at<signed short>(minLoc_);
maxlocVal = src1_roi.at<signed short>(maxLoc);
maxlocVal_ = src1_roi.at<signed short>(maxLoc_);
error0 = ::abs(src1_roi.at<signed short>(minLoc_) - src1_roi.at<signed short>(minLoc));
error1 = ::abs(src1_roi.at<signed short>(maxLoc_) - src1_roi.at<signed short>(maxLoc));
}
if (depth == 4)
{
minlocVal = src1_roi.at<int>(minLoc);
minlocVal_ = src1_roi.at<int>(minLoc_);
maxlocVal = src1_roi.at<int>(maxLoc);
maxlocVal_ = src1_roi.at<int>(maxLoc_);
error0 = ::abs(src1_roi.at<int>(minLoc_) - src1_roi.at<int>(minLoc));
error1 = ::abs(src1_roi.at<int>(maxLoc_) - src1_roi.at<int>(maxLoc));
}
if (depth == 5)
{
minlocVal = src1_roi.at<float>(minLoc);
minlocVal_ = src1_roi.at<float>(minLoc_);
maxlocVal = src1_roi.at<float>(maxLoc);
maxlocVal_ = src1_roi.at<float>(maxLoc_);
error0 = ::abs(src1_roi.at<float>(minLoc_) - src1_roi.at<float>(minLoc));
error1 = ::abs(src1_roi.at<float>(maxLoc_) - src1_roi.at<float>(maxLoc));
}
if (depth == 6)
{
minlocVal = src1_roi.at<double>(minLoc);
minlocVal_ = src1_roi.at<double>(minLoc_);
maxlocVal = src1_roi.at<double>(maxLoc);
maxlocVal_ = src1_roi.at<double>(maxLoc_);
error0 = ::abs(src1_roi.at<double>(minLoc_) - src1_roi.at<double>(minLoc));
error1 = ::abs(src1_roi.at<double>(maxLoc_) - src1_roi.at<double>(maxLoc));
}
EXPECT_DOUBLE_EQ(minVal_, minVal);
EXPECT_DOUBLE_EQ(maxVal_, maxVal);
EXPECT_DOUBLE_EQ(minlocVal_, minlocVal);
EXPECT_DOUBLE_EQ(maxlocVal_, maxlocVal);
EXPECT_DOUBLE_EQ(error0, 0.0);
EXPECT_DOUBLE_EQ(error1, 0.0);
}
}
//////////////////////////////// Sum /////////////////////////////////////////////////
typedef ArithmTestBase Sum;
TEST_P(Sum, MAT)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
Scalar cpures = cv::sum(src1_roi);
Scalar gpures = cv::ocl::sum(gsrc1_roi);
// check results
EXPECT_NEAR(cpures[0], gpures[0], 0.1);
EXPECT_NEAR(cpures[1], gpures[1], 0.1);
EXPECT_NEAR(cpures[2], gpures[2], 0.1);
EXPECT_NEAR(cpures[3], gpures[3], 0.1);
}
}
typedef ArithmTestBase SqrSum;
template <typename T, typename WT>
static Scalar sqrSum(const Mat & src)
{
Scalar sum = Scalar::all(0);
int cn = src.channels();
WT data[4] = { 0, 0, 0, 0 };
int cols = src.cols * cn;
for (int y = 0; y < src.rows; ++y)
{
const T * const sdata = src.ptr<T>(y);
for (int x = 0; x < cols; )
for (int i = 0; i < cn; ++i, ++x)
{
WT t = static_cast<WT>(sdata[x]);
data[i] += t * t;
}
}
for (int i = 0; i < cn; ++i)
sum[i] = static_cast<double>(data[i]);
return sum;
}
typedef Scalar (*sumFunc)(const Mat &);
TEST_P(SqrSum, MAT)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
static sumFunc funcs[] = { sqrSum<uchar, int>,
sqrSum<char, int>,
sqrSum<ushort, int>,
sqrSum<short, int>,
sqrSum<int, int>,
sqrSum<float, double>,
sqrSum<double, double>,
0 };
sumFunc func = funcs[src1_roi.depth()];
CV_Assert(func != 0);
Scalar cpures = func(src1_roi);
Scalar gpures = cv::ocl::sqrSum(gsrc1_roi);
// check results
EXPECT_NEAR(cpures[0], gpures[0], 1.0);
EXPECT_NEAR(cpures[1], gpures[1], 1.0);
EXPECT_NEAR(cpures[2], gpures[2], 1.0);
EXPECT_NEAR(cpures[3], gpures[3], 1.0);
}
}
typedef ArithmTestBase AbsSum;
template <typename T, typename WT>
static Scalar absSum(const Mat & src)
{
Scalar sum = Scalar::all(0);
int cn = src.channels();
WT data[4] = { 0, 0, 0, 0 };
int cols = src.cols * cn;
for (int y = 0; y < src.rows; ++y)
{
const T * const sdata = src.ptr<T>(y);
for (int x = 0; x < cols; )
for (int i = 0; i < cn; ++i, ++x)
{
WT t = static_cast<WT>(sdata[x]);
data[i] += t >= 0 ? t : -t;
}
}
for (int i = 0; i < cn; ++i)
sum[i] = static_cast<double>(data[i]);
return sum;
}
TEST_P(AbsSum, MAT)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
static sumFunc funcs[] = { absSum<uchar, int>,
absSum<char, int>,
absSum<ushort, int>,
absSum<short, int>,
absSum<int, int>,
absSum<float, double>,
absSum<double, double>,
0 };
sumFunc func = funcs[src1_roi.depth()];
CV_Assert(func != 0);
Scalar cpures = func(src1_roi);
Scalar gpures = cv::ocl::absSum(gsrc1_roi);
// check results
EXPECT_NEAR(cpures[0], gpures[0], 0.1);
EXPECT_NEAR(cpures[1], gpures[1], 0.1);
EXPECT_NEAR(cpures[2], gpures[2], 0.1);
EXPECT_NEAR(cpures[3], gpures[3], 0.1);
}
}
//////////////////////////////// CountNonZero /////////////////////////////////////////////////
typedef ArithmTestBase CountNonZero;
TEST_P(CountNonZero, MAT)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
int cpures = cv::countNonZero(src1_roi);
int gpures = cv::ocl::countNonZero(gsrc1_roi);
EXPECT_DOUBLE_EQ((double)cpures, (double)gpures);
}
}
//////////////////////////////// Phase /////////////////////////////////////////////////
typedef ArithmTestBase Phase;
TEST_P(Phase, angleInDegrees)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::phase(src1_roi, src2_roi, dst1_roi, true);
cv::ocl::phase(gsrc1_roi, gsrc2_roi, gdst1_roi, true);
Near(1e-2);
}
}
TEST_P(Phase, angleInRadians)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::phase(src1_roi, src2_roi, dst1_roi);
cv::ocl::phase(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(1e-2);
}
}
//////////////////////////////// Bitwise_and /////////////////////////////////////////////////
typedef ArithmTestBase Bitwise_and;
TEST_P(Bitwise_and, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_and(src1_roi, src2_roi, dst1_roi);
cv::ocl::bitwise_and(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
TEST_P(Bitwise_and, Mat_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_and(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::bitwise_and(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
TEST_P(Bitwise_and, Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_and(src1_roi, val, dst1_roi);
cv::ocl::bitwise_and(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
TEST_P(Bitwise_and, Scalar_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_and(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::bitwise_and(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
//////////////////////////////// Bitwise_or /////////////////////////////////////////////////
typedef ArithmTestBase Bitwise_or;
TEST_P(Bitwise_or, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_or(src1_roi, src2_roi, dst1_roi);
cv::ocl::bitwise_or(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
TEST_P(Bitwise_or, Mat_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_or(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::bitwise_or(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
TEST_P(Bitwise_or, Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_or(src1_roi, val, dst1_roi);
cv::ocl::bitwise_or(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
TEST_P(Bitwise_or, Scalar_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_or(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::bitwise_or(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
//////////////////////////////// Bitwise_xor /////////////////////////////////////////////////
typedef ArithmTestBase Bitwise_xor;
TEST_P(Bitwise_xor, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_xor(src1_roi, src2_roi, dst1_roi);
cv::ocl::bitwise_xor(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
TEST_P(Bitwise_xor, Mat_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_xor(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::bitwise_xor(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
TEST_P(Bitwise_xor, Scalar)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_xor(src1_roi, val, dst1_roi);
cv::ocl::bitwise_xor(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
TEST_P(Bitwise_xor, Scalar_Mask)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_xor(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::bitwise_xor(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
//////////////////////////////// Bitwise_not /////////////////////////////////////////////////
typedef ArithmTestBase Bitwise_not;
TEST_P(Bitwise_not, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::bitwise_not(src1_roi, dst1_roi);
cv::ocl::bitwise_not(gsrc1_roi, gdst1_roi);
Near(0);
}
}
//////////////////////////////// Compare /////////////////////////////////////////////////
typedef ArithmTestBase Compare;
TEST_P(Compare, Mat)
{
int cmp_codes[] = { CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE };
int cmp_num = sizeof(cmp_codes) / sizeof(int);
for (int i = 0; i < cmp_num; ++i)
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::compare(src1_roi, src2_roi, dst1_roi, cmp_codes[i]);
cv::ocl::compare(gsrc1_roi, gsrc2_roi, gdst1_roi, cmp_codes[i]);
Near(0);
}
}
//////////////////////////////// Pow /////////////////////////////////////////////////
typedef ArithmTestBase Pow;
TEST_P(Pow, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
double p = 4.5;
cv::pow(src1_roi, p, dst1_roi);
cv::ocl::pow(gsrc1_roi, p, gdst1_roi);
Near(1);
}
}
//////////////////////////////// AddWeighted /////////////////////////////////////////////////
typedef ArithmTestBase AddWeighted;
TEST_P(AddWeighted, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
const double alpha = 2.0, beta = 1.0, gama = 3.0;
cv::addWeighted(src1_roi, alpha, src2_roi, beta, gama, dst1_roi);
cv::ocl::addWeighted(gsrc1_roi, alpha, gsrc2_roi, beta, gama, gdst1_roi);
Near(1e-5);
}
}
//////////////////////////////// setIdentity /////////////////////////////////////////////////
typedef ArithmTestBase SetIdentity;
TEST_P(SetIdentity, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::setIdentity(dst1_roi, val);
cv::ocl::setIdentity(gdst1_roi, val);
Near(0);
}
}
//////////////////////////////// meanStdDev /////////////////////////////////////////////////
typedef ArithmTestBase MeanStdDev;
TEST_P(MeanStdDev, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
Scalar cpu_mean, cpu_stddev;
Scalar gpu_mean, gpu_stddev;
cv::meanStdDev(src1_roi, cpu_mean, cpu_stddev);
cv::ocl::meanStdDev(gsrc1_roi, gpu_mean, gpu_stddev);
for (int i = 0; i < 4; ++i)
{
EXPECT_NEAR(cpu_mean[i], gpu_mean[i], 0.1);
EXPECT_NEAR(cpu_stddev[i], gpu_stddev[i], 0.1);
}
}
}
//////////////////////////////// Norm /////////////////////////////////////////////////
typedef ArithmTestBase Norm;
TEST_P(Norm, NORM_INF)
{
for (int relative = 0; relative < 2; ++relative)
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
int type = NORM_INF;
if (relative == 1)
type |= NORM_RELATIVE;
const double cpuRes = cv::norm(src1_roi, src2_roi, type);
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type);
EXPECT_NEAR(cpuRes, gpuRes, 0.1);
}
}
TEST_P(Norm, NORM_L1)
{
for (int relative = 0; relative < 2; ++relative)
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
int type = NORM_L1;
if (relative == 1)
type |= NORM_RELATIVE;
const double cpuRes = cv::norm(src1_roi, src2_roi, type);
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type);
EXPECT_NEAR(cpuRes, gpuRes, 0.1);
}
}
TEST_P(Norm, NORM_L2)
{
for (int relative = 0; relative < 2; ++relative)
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
int type = NORM_L2;
if (relative == 1)
type |= NORM_RELATIVE;
const double cpuRes = cv::norm(src1_roi, src2_roi, type);
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type);
EXPECT_NEAR(cpuRes, gpuRes, 0.1);
}
}
//////////////////////////////////////// Instantiation /////////////////////////////////////////
INSTANTIATE_TEST_CASE_P(Arithm, Lut, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool(), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Exp, Combine(testing::Values(CV_32F, CV_64F), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Log, Combine(testing::Values(CV_32F, CV_64F), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Add, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Sub, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Mul, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Div, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Absdiff, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, CartToPolar, Combine(Values(CV_32F, CV_64F), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, PolarToCart, Combine(Values(CV_32F, CV_64F), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Magnitude, Combine(Values(CV_32F, CV_64F), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Transpose, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Flip, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, MinMax, Combine(testing::Range(CV_8U, CV_USRTYPE1), Values(1), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, MinMaxLoc, Combine(testing::Range(CV_8U, CV_USRTYPE1), Values(1), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Sum, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, SqrSum, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, AbsSum, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, CountNonZero, Combine(testing::Range(CV_8U, CV_USRTYPE1), Values(1), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Phase, Combine(Values(CV_32F, CV_64F), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_and, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_or, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_xor, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_not, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Compare, Combine(testing::Range(CV_8U, CV_USRTYPE1), Values(1), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Pow, Combine(Values(CV_32F, CV_64F), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, AddWeighted, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, SetIdentity, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, MeanStdDev, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(Arithm, Norm, Combine(testing::Range(CV_8U, CV_USRTYPE1), testing::Range(1, 5), Bool()));
#endif // HAVE_OPENCL
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