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提交 881e8375 编写于 作者: A Alexander Alekhin
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ocl/core: added prototype for tests

上级 c1f59c4c
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Showing with 663 addition and 5 deletion
cmake/OpenCVModule.cmake
浏览文件 @ 881e8375
......@@ -690,8 +690,8 @@ function(ocv_add_perf_tests)
ocv_module_include_directories(${perf_deps} "${perf_path}")
if(NOT OPENCV_PERF_${the_module}_SOURCES)
file(GLOB perf_srcs "${perf_path}/*.cpp")
file(GLOB perf_hdrs "${perf_path}/*.hpp" "${perf_path}/*.h")
file(GLOB_RECURSE perf_srcs "${perf_path}/*.cpp")
file(GLOB_RECURSE perf_hdrs "${perf_path}/*.hpp" "${perf_path}/*.h")
source_group("Src" FILES ${perf_srcs})
source_group("Include" FILES ${perf_hdrs})
set(OPENCV_PERF_${the_module}_SOURCES ${perf_srcs} ${perf_hdrs})
......@@ -740,8 +740,8 @@ function(ocv_add_accuracy_tests)
ocv_module_include_directories(${test_deps} "${test_path}")
if(NOT OPENCV_TEST_${the_module}_SOURCES)
file(GLOB test_srcs "${test_path}/*.cpp")
file(GLOB test_hdrs "${test_path}/*.hpp" "${test_path}/*.h")
file(GLOB_RECURSE test_srcs "${test_path}/*.cpp")
file(GLOB_RECURSE test_hdrs "${test_path}/*.hpp" "${test_path}/*.h")
source_group("Src" FILES ${test_srcs})
source_group("Include" FILES ${test_hdrs})
set(OPENCV_TEST_${the_module}_SOURCES ${test_srcs} ${test_hdrs})
......
modules/core/include/opencv2/core/mat.hpp
浏览文件 @ 881e8375
......@@ -2340,6 +2340,31 @@ CV_EXPORTS MatExpr max(double s, const Mat& a);
CV_EXPORTS MatExpr abs(const Mat& m);
CV_EXPORTS MatExpr abs(const MatExpr& e);
namespace traits {
template <typename T>
struct GetMatForRead
{
};
template <>
struct GetMatForRead<Mat>
{
static const Mat get(const Mat& m) { return m; }
};
template <>
struct GetMatForRead<UMat>
{
static const Mat get(const UMat& m) { return m.getMat(ACCESS_READ); }
};
} // namespace traits
template <typename T>
const Mat getMatForRead(const T& mat)
{
return traits::GetMatForRead<T>::get(mat);
}
} // cv
#include "opencv2/core/mat.inl.hpp"
......
modules/core/src/arithm.cpp
浏览文件 @ 881e8375
......@@ -1410,7 +1410,7 @@ static void arithm_op(InputArray _src1, InputArray _src2, OutputArray _dst,
int wtype, dims1 = psrc1->dims(), dims2 = psrc2->dims();
Size sz1 = dims1 <= 2 ? psrc1->size() : Size();
Size sz2 = dims2 <= 2 ? psrc2->size() : Size();
bool use_opencl = (kind1 == _InputArray::UMAT || kind2 == _InputArray::UMAT) &&
bool use_opencl = (kind1 == _InputArray::UMAT || kind2 == _InputArray::UMAT || _dst.kind() == _OutputArray::UMAT) &&
ocl::useOpenCL() && dims1 <= 2 && dims2 <= 2;
bool src1Scalar = checkScalar(*psrc1, type2, kind1, kind2);
bool src2Scalar = checkScalar(*psrc2, type1, kind2, kind1);
......
modules/core/test/ocl/test_arithm.cpp 0 → 100644
浏览文件 @ 881e8375
/*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) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 materials 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 OpenCV Foundation 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 "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////////////////// ArithmTestBase ///////////////////////////
PARAM_TEST_CASE(ArithmTestBase, MatDepth, Channels, bool)
{
int depth;
int cn;
bool use_roi;
cv::Scalar val;
// declare Mat + UMat mirrors
TEST_DECLARE_INPUT_PARATEMER(src1)
TEST_DECLARE_INPUT_PARATEMER(src2)
TEST_DECLARE_INPUT_PARATEMER(mask)
TEST_DECLARE_OUTPUT_PARATEMER(dst1)
TEST_DECLARE_OUTPUT_PARATEMER(dst2)
virtual void SetUp()
{
depth = GET_PARAM(0);
cn = GET_PARAM(1);
use_roi = GET_PARAM(2);
}
virtual void generateTestData()
{
const int type = CV_MAKE_TYPE(depth, cn);
Size roiSize = randomSize(1, MAX_VALUE);
Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, src1Border, 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);
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));
UMAT_UPLOAD_INPUT_PARAMETER(src1)
UMAT_UPLOAD_INPUT_PARAMETER(src2)
UMAT_UPLOAD_INPUT_PARAMETER(mask)
UMAT_UPLOAD_OUTPUT_PARAMETER(dst1)
UMAT_UPLOAD_OUTPUT_PARAMETER(dst2)
}
void Near(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst1, udst1, threshold);
EXPECT_MAT_NEAR(dst1_roi, udst1_roi, threshold);
}
void Near1(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst2, udst2, threshold);
EXPECT_MAT_NEAR(dst2_roi, udst2_roi, threshold);
}
};
//////////////////////////////// Add /////////////////////////////////////////////////
typedef ArithmTestBase Add;
OCL_TEST_P(Add, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::add(src1_roi, src2_roi, dst1_roi));
OCL_ON(cv::add(usrc1_roi, usrc2_roi, udst1_roi));
Near(0);
}
}
OCL_TEST_P(Add, Mat_Mask)
{
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::add(src1_roi, src2_roi, dst1_roi, mask_roi));
OCL_ON(cv::add(usrc1_roi, usrc2_roi, udst1_roi, umask_roi));
Near(0);
}
}
OCL_TEST_P(Add, Scalar)
{
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::add(src1_roi, val, dst1_roi));
OCL_ON(cv::add(usrc1_roi, val, udst1_roi));
Near(1e-5);
}
}
OCL_TEST_P(Add, Scalar_Mask)
{
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::add(src1_roi, val, dst1_roi, mask_roi));
OCL_ON(cv::add(usrc1_roi, val, udst1_roi, umask_roi));
Near(1e-5);
}
}
//////////////////////////////////////// Instantiation /////////////////////////////////////////
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Add, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL
modules/ts/include/opencv2/ts/ocl_test.hpp 0 → 100644
浏览文件 @ 881e8375
/*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) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 materials 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 OpenCV Foundation 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*/
#ifndef __OPENCV_TS_OCL_TEST_HPP__
#define __OPENCV_TS_OCL_TEST_HPP__
#ifdef HAVE_OPENCL
#include "cvconfig.h"
#include "opencv2/opencv_modules.hpp"
#include "opencv2/ts.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgproc/types_c.h"
#include "opencv2/core/ocl.hpp"
namespace cvtest {
namespace ocl {
using namespace cv;
using namespace testing;
extern int test_loop_times;
#define MAX_VALUE 357
#define EXPECT_MAT_NORM(mat, eps) \
{ \
EXPECT_LE(checkNorm(mat), eps) \
}
#define EXPECT_MAT_NEAR(mat1, mat2, eps) \
{ \
ASSERT_EQ(mat1.type(), mat2.type()); \
ASSERT_EQ(mat1.size(), mat2.size()); \
EXPECT_LE(checkNorm(mat1, mat2), eps) \
<< cv::format("Size: %d x %d", mat1.size().width, mat1.size().height) << std::endl; \
}
#define EXPECT_MAT_NEAR_RELATIVE(mat1, mat2, eps) \
{ \
ASSERT_EQ(mat1.type(), mat2.type()); \
ASSERT_EQ(mat1.size(), mat2.size()); \
EXPECT_LE(checkNormRelative(mat1, mat2), eps) \
<< cv::format("Size: %d x %d", mat1.size().width, mat1.size().height) << std::endl; \
}
#define EXPECT_MAT_SIMILAR(mat1, mat2, eps) \
{ \
ASSERT_EQ(mat1.type(), mat2.type()); \
ASSERT_EQ(mat1.size(), mat2.size()); \
EXPECT_LE(checkSimilarity(mat1, mat2), eps); \
<< cv::format("Size: %d x %d", mat1.size().width, mat1.size().height) << std::endl; \
}
using perf::MatDepth;
using perf::MatType;
#define OCL_RNG_SEED 123456
struct TestUtils
{
cv::RNG rng;
TestUtils()
{
rng = cv::RNG(OCL_RNG_SEED);
}
int randomInt(int minVal, int maxVal)
{
return rng.uniform(minVal, maxVal);
}
double randomDouble(double minVal, double maxVal)
{
return rng.uniform(minVal, maxVal);
}
double randomDoubleLog(double minVal, double maxVal)
{
double logMin = log((double)minVal + 1);
double logMax = log((double)maxVal + 1);
double pow = rng.uniform(logMin, logMax);
double v = exp(pow) - 1;
CV_Assert(v >= minVal && (v < maxVal || (v == minVal && v == maxVal)));
return v;
}
Size randomSize(int minVal, int maxVal)
{
#if 1
return cv::Size((int)randomDoubleLog(minVal, maxVal), (int)randomDoubleLog(minVal, maxVal));
#else
return cv::Size(randomInt(minVal, maxVal), randomInt(minVal, maxVal));
#endif
}
Size randomSize(int minValX, int maxValX, int minValY, int maxValY)
{
#if 1
return cv::Size((int)randomDoubleLog(minValX, maxValX), (int)randomDoubleLog(minValY, maxValY));
#else
return cv::Size(randomInt(minVal, maxVal), randomInt(minVal, maxVal));
#endif
}
Scalar randomScalar(double minVal, double maxVal)
{
return Scalar(randomDouble(minVal, maxVal), randomDouble(minVal, maxVal), randomDouble(minVal, maxVal), randomDouble(minVal, maxVal));
}
Mat randomMat(Size size, int type, double minVal, double maxVal, bool useRoi = false)
{
RNG dataRng(rng.next());
return cvtest::randomMat(dataRng, size, type, minVal, maxVal, useRoi);
}
struct Border
{
int top, bot, lef, rig;
};
Border randomBorder(int minValue = 0, int maxValue = MAX_VALUE)
{
Border border = {
(int)randomDoubleLog(minValue, maxValue),
(int)randomDoubleLog(minValue, maxValue),
(int)randomDoubleLog(minValue, maxValue),
(int)randomDoubleLog(minValue, maxValue)
};
return border;
}
void randomSubMat(Mat& whole, Mat& subMat, const Size& roiSize, const Border& border, int type, double minVal, double maxVal)
{
Size wholeSize = Size(roiSize.width + border.lef + border.rig, roiSize.height + border.top + border.bot);
whole = randomMat(wholeSize, type, minVal, maxVal, false);
subMat = whole(Rect(border.lef, border.top, roiSize.width, roiSize.height));
}
// If the two vectors are not equal, it will return the difference in vector size
// Else it will return (total diff of each 1 and 2 rects covered pixels)/(total 1 rects covered pixels)
// The smaller, the better matched
static double checkRectSimilarity(cv::Size sz, std::vector<cv::Rect>& ob1, std::vector<cv::Rect>& ob2);
//! read image from testdata folder.
static cv::Mat readImage(const String &fileName, int flags = cv::IMREAD_COLOR);
static cv::Mat readImageType(const String &fname, int type);
static double checkNorm(const cv::Mat &m);
static double checkNorm(const cv::Mat &m1, const cv::Mat &m2);
static double checkSimilarity(const cv::Mat &m1, const cv::Mat &m2);
static inline double checkNormRelative(const Mat &m1, const Mat &m2)
{
return cv::norm(m1, m2, cv::NORM_INF) /
std::max((double)std::numeric_limits<float>::epsilon(),
(double)std::max(cv::norm(m1, cv::NORM_INF), norm(m2, cv::NORM_INF)));
}
static void showDiff(const Mat& src, const Mat& gold, const Mat& actual, double eps, bool alwaysShow = false);
template <typename T1>
static double checkNorm(const T1& m)
{
return checkNorm(cv::getMatForRead(m));
}
template <typename T1, typename T2>
static double checkNorm(const T1& m1, const T2& m2)
{
return checkNorm(cv::getMatForRead(m1), cv::getMatForRead(m2));
}
template <typename T1, typename T2>
static double checkSimilarity(const T1& m1, const T2& m2)
{
return checkSimilarity(cv::getMatForRead(m1), cv::getMatForRead(m2));
}
template <typename T1, typename T2>
static inline double checkNormRelative(const T1& m1, const T2& m2)
{
const Mat _m1 = cv::getMatForRead(m1);
const Mat _m2 = cv::getMatForRead(m2);
return checkNormRelative(_m1, _m2);
}
template <typename T1, typename T2, typename T3>
static void showDiff(const T1& src, const T2& gold, const T3& actual, double eps, bool alwaysShow = false)
{
const Mat _src = cv::getMatForRead(src);
const Mat _gold = cv::getMatForRead(gold);
const Mat _actual = cv::getMatForRead(actual);
showDiff(_src, _gold, _actual, eps, alwaysShow);
}
};
#define TEST_DECLARE_INPUT_PARATEMER(name) Mat name, name ## _roi; UMat u ## name, u ## name ## _roi;
#define TEST_DECLARE_OUTPUT_PARATEMER(name) TEST_DECLARE_INPUT_PARATEMER(name)
#define UMAT_UPLOAD_INPUT_PARAMETER(name) \
{ \
name.copyTo(u ## name); \
Size wholeSize; Point ofs; name ## _roi.locateROI(wholeSize, ofs); \
u ## name ## _roi = u ## name(Rect(ofs.x, ofs.y, name ## _roi.size().width, name ## _roi.size().height)); \
}
#define UMAT_UPLOAD_OUTPUT_PARAMETER(name) UMAT_UPLOAD_INPUT_PARAMETER(name)
template <typename T>
struct TSTestWithParam : public TestUtils, public ::testing::TestWithParam<T>
{
};
#define PARAM_TEST_CASE(name, ...) struct name : public TSTestWithParam< std::tr1::tuple< __VA_ARGS__ > >
#define GET_PARAM(k) std::tr1::get< k >(GetParam())
#ifndef IMPLEMENT_PARAM_CLASS
#define IMPLEMENT_PARAM_CLASS(name, type) \
class name \
{ \
public: \
name ( type arg = type ()) : val_(arg) {} \
operator type () const {return val_;} \
private: \
type val_; \
}; \
inline void PrintTo( name param, std::ostream* os) \
{ \
*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
}
IMPLEMENT_PARAM_CLASS(Channels, int)
#endif // IMPLEMENT_PARAM_CLASS
#define OCL_TEST_P TEST_P
#define OCL_OFF(fn) cv::ocl::setUseOpenCL(false); fn
#define OCL_ON(fn) cv::ocl::setUseOpenCL(true); fn
#define OCL_ALL_DEPTHS Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F)
#define OCL_ALL_CHANNELS Values(1, 2, 3, 4)
#define OCL_INSTANTIATE_TEST_CASE_P(prefix, test_case_name, generator) \
INSTANTIATE_TEST_CASE_P(OCL_ ## prefix, test_case_name, generator)
}} // namespace cvtest::ocl
#endif // HAVE_OPENCL
#endif // __OPENCV_TS_OCL_TEST_HPP__
modules/ts/src/ocl_test.cpp 0 → 100644
浏览文件 @ 881e8375
/*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) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 materials 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 OpenCV Foundation 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"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
using namespace cv;
int test_loop_times = 1; // TODO Read from command line / environment
Mat TestUtils::readImage(const String &fileName, int flags)
{
return cv::imread(cvtest::TS::ptr()->get_data_path() + fileName, flags);
}
Mat TestUtils::readImageType(const String &fname, int type)
{
Mat src = readImage(fname, CV_MAT_CN(type) == 1 ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
if (CV_MAT_CN(type) == 4)
{
Mat temp;
cv::cvtColor(src, temp, cv::COLOR_BGR2BGRA);
swap(src, temp);
}
src.convertTo(src, CV_MAT_DEPTH(type));
return src;
}
double TestUtils::checkNorm(const Mat &m)
{
return norm(m, NORM_INF);
}
double TestUtils::checkNorm(const Mat &m1, const Mat &m2)
{
return norm(m1, m2, NORM_INF);
}
double TestUtils::checkSimilarity(const Mat &m1, const Mat &m2)
{
Mat diff;
matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED);
return std::abs(diff.at<float>(0, 0) - 1.f);
}
double TestUtils::checkRectSimilarity(Size sz, std::vector<Rect>& ob1, std::vector<Rect>& ob2)
{
double final_test_result = 0.0;
size_t sz1 = ob1.size();
size_t sz2 = ob2.size();
if(sz1 != sz2)
{
return sz1 > sz2 ? (double)(sz1 - sz2) : (double)(sz2 - sz1);
}
else
{
if(sz1==0 && sz2==0)
return 0;
cv::Mat cpu_result(sz, CV_8UC1);
cpu_result.setTo(0);
for(vector<Rect>::const_iterator r = ob1.begin(); r != ob1.end(); r++)
{
cv::Mat cpu_result_roi(cpu_result, *r);
cpu_result_roi.setTo(1);
cpu_result.copyTo(cpu_result);
}
int cpu_area = cv::countNonZero(cpu_result > 0);
cv::Mat gpu_result(sz, CV_8UC1);
gpu_result.setTo(0);
for(vector<Rect>::const_iterator r2 = ob2.begin(); r2 != ob2.end(); r2++)
{
cv::Mat gpu_result_roi(gpu_result, *r2);
gpu_result_roi.setTo(1);
gpu_result.copyTo(gpu_result);
}
cv::Mat result_;
multiply(cpu_result, gpu_result, result_);
int result = cv::countNonZero(result_ > 0);
if(cpu_area!=0 && result!=0)
final_test_result = 1.0 - (double)result/(double)cpu_area;
else if(cpu_area==0 && result!=0)
final_test_result = -1;
}
return final_test_result;
}
void TestUtils::showDiff(const Mat& src, const Mat& gold, const Mat& actual, double eps, bool alwaysShow)
{
Mat diff, diff_thresh;
absdiff(gold, actual, diff);
diff.convertTo(diff, CV_32F);
threshold(diff, diff_thresh, eps, 255.0, cv::THRESH_BINARY);
if (alwaysShow || cv::countNonZero(diff_thresh.reshape(1)) > 0)
{
#if 0
std::cout << "Source: " << std::endl << src << std::endl;
std::cout << "Expected: " << std::endl << gold << std::endl;
std::cout << "Actual: " << std::endl << actual << std::endl;
#endif
namedWindow("src", WINDOW_NORMAL);
namedWindow("gold", WINDOW_NORMAL);
namedWindow("actual", WINDOW_NORMAL);
namedWindow("diff", WINDOW_NORMAL);
imshow("src", src);
imshow("gold", gold);
imshow("actual", actual);
imshow("diff", diff);
cv::waitKey();
}
}
}} // namespace cvtest::ocl
#endif // HAVE_OPENCL
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