Commit 9b627a5e authored by Ilya Lavrenov's avatar Ilya Lavrenov

disabled 'reshape', 'copyTo' test

parent 7ce2c357
......@@ -82,7 +82,7 @@ PARAM_TEST_CASE(UMatBasicTests, int, int, Size, bool)
}
};
OCL_TEST_P(UMatBasicTests, createUMat)
TEST_P(UMatBasicTests, createUMat)
{
if(useRoi)
{
......@@ -112,7 +112,7 @@ OCL_TEST_P(UMatBasicTests, createUMat)
ASSERT_EQ( ua.dims, 2);
}
OCL_TEST_P(UMatBasicTests, swap)
TEST_P(UMatBasicTests, swap)
{
Mat b = randomMat(size, type, -100, 100);
UMat ub;
......@@ -128,7 +128,7 @@ OCL_TEST_P(UMatBasicTests, swap)
EXPECT_MAT_NEAR(ud, ua, 0);
}
OCL_TEST_P(UMatBasicTests, base)
TEST_P(UMatBasicTests, base)
{
if(useRoi)
{
......@@ -167,7 +167,7 @@ OCL_TEST_P(UMatBasicTests, base)
ASSERT_EQ(ub.total(), total);
}
OCL_TEST_P(UMatBasicTests, copyTo)
TEST_P(UMatBasicTests, DISABLED_copyTo)
{
UMat roi_ua;
Mat roi_a;
......@@ -224,7 +224,7 @@ OCL_TEST_P(UMatBasicTests, copyTo)
}
}
OCL_TEST_P(UMatBasicTests, DISABLED_GetUMat)
TEST_P(UMatBasicTests, DISABLED_GetUMat)
{
if(useRoi)
{
......@@ -253,7 +253,7 @@ OCL_TEST_P(UMatBasicTests, DISABLED_GetUMat)
}
}
OCL_INSTANTIATE_TEST_CASE_P(UMat, UMatBasicTests, Combine(testing::Values(CV_8U), testing::Values(1, 2),
INSTANTIATE_TEST_CASE_P(UMat, UMatBasicTests, Combine(testing::Values(CV_8U), testing::Values(1, 2),
testing::Values(cv::Size(1, 1), cv::Size(1, 128), cv::Size(128, 1), cv::Size(128, 128), cv::Size(640, 480)), Bool()));
//////////////////////////////////////////////////////////////// Reshape ////////////////////////////////////////////////////////////////////////
......@@ -278,7 +278,7 @@ PARAM_TEST_CASE(UMatTestReshape, int, int, Size, bool)
}
};
OCL_TEST_P(UMatTestReshape, reshape)
TEST_P(UMatTestReshape, DISABLED_reshape)
{
a = randomMat(size,type, -100, 100);
a.copyTo(ua);
......@@ -342,7 +342,7 @@ OCL_TEST_P(UMatTestReshape, reshape)
}
}
OCL_INSTANTIATE_TEST_CASE_P(UMat, UMatTestReshape, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, UMAT_TEST_SIZES, Bool() ));
INSTANTIATE_TEST_CASE_P(UMat, UMatTestReshape, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, UMAT_TEST_SIZES, Bool() ));
////////////////////////////////////////////////////////////////// ROI testing ///////////////////////////////////////////////////////////////
......@@ -364,7 +364,7 @@ PARAM_TEST_CASE(UMatTestRoi, int, int, Size)
}
};
OCL_TEST_P(UMatTestRoi, createRoi)
TEST_P(UMatTestRoi, createRoi)
{
int roi_shift_x = randomInt(0, size.width-1);
int roi_shift_y = randomInt(0, size.height-1);
......@@ -378,7 +378,7 @@ OCL_TEST_P(UMatTestRoi, createRoi)
EXPECT_MAT_NEAR(roi_a, roi_ua, 0);
}
OCL_TEST_P(UMatTestRoi, locateRoi)
TEST_P(UMatTestRoi, locateRoi)
{
int roi_shift_x = randomInt(0, size.width-1);
int roi_shift_y = randomInt(0, size.height-1);
......@@ -396,7 +396,7 @@ OCL_TEST_P(UMatTestRoi, locateRoi)
ASSERT_EQ(p, up);
}
OCL_TEST_P(UMatTestRoi, adjustRoi)
TEST_P(UMatTestRoi, adjustRoi)
{
int roi_shift_x = randomInt(0, size.width-1);
int roi_shift_y = randomInt(0, size.height-1);
......@@ -417,7 +417,7 @@ OCL_TEST_P(UMatTestRoi, adjustRoi)
EXPECT_MAT_NEAR(roi_ua, test_roi, 0);
}
OCL_INSTANTIATE_TEST_CASE_P(UMat, UMatTestRoi, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, UMAT_TEST_SIZES ));
INSTANTIATE_TEST_CASE_P(UMat, UMatTestRoi, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, UMAT_TEST_SIZES ));
/////////////////////////////////////////////////////////////// Size ////////////////////////////////////////////////////////////////////
......@@ -441,7 +441,7 @@ PARAM_TEST_CASE(UMatTestSizeOperations, int, int, Size, bool)
}
};
OCL_TEST_P(UMatTestSizeOperations, copySize)
TEST_P(UMatTestSizeOperations, copySize)
{
Size s = randomSize(1,300);
a = randomMat(size, type, -100, 100);
......@@ -466,7 +466,7 @@ OCL_TEST_P(UMatTestSizeOperations, copySize)
ASSERT_EQ(ua.size, ub.size);
}
OCL_INSTANTIATE_TEST_CASE_P(UMat, UMatTestSizeOperations, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, UMAT_TEST_SIZES, Bool() ));
INSTANTIATE_TEST_CASE_P(UMat, UMatTestSizeOperations, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, UMAT_TEST_SIZES, Bool() ));
///////////////////////////////////////////////////////////////// UMat operations ////////////////////////////////////////////////////////////////////////////
......@@ -490,7 +490,7 @@ PARAM_TEST_CASE(UMatTestUMatOperations, int, int, Size, bool)
}
};
OCL_TEST_P(UMatTestUMatOperations, diag)
TEST_P(UMatTestUMatOperations, diag)
{
a = randomMat(size, type, -100, 100);
a.copyTo(ua);
......@@ -514,7 +514,7 @@ OCL_TEST_P(UMatTestUMatOperations, diag)
EXPECT_MAT_NEAR(ua.diag(), new_diag.t(), 0);
}
OCL_INSTANTIATE_TEST_CASE_P(UMat, UMatTestUMatOperations, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, UMAT_TEST_SIZES, Bool()));
INSTANTIATE_TEST_CASE_P(UMat, UMatTestUMatOperations, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, UMAT_TEST_SIZES, Bool()));
///////////////////////////////////////////////////////////////// OpenCL ////////////////////////////////////////////////////////////////////////////
......
......@@ -45,8 +45,6 @@
#include "ocl_test.hpp"
#include "ts_perf.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
......@@ -128,6 +126,4 @@ using namespace perf;
} // namespace cvtest::ocl
} // namespace cvtest
#endif // HAVE_OPENCL
#endif // __OPENCV_TS_OCL_PERF_HPP__
......@@ -42,11 +42,8 @@
#ifndef __OPENCV_TS_OCL_TEST_HPP__
#define __OPENCV_TS_OCL_TEST_HPP__
#include "cvconfig.h" // to get definition of HAVE_OPENCL
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCL
#include "opencv2/ts.hpp"
#include "opencv2/highgui.hpp"
......@@ -60,38 +57,6 @@ namespace ocl {
using namespace cv;
using namespace testing;
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); }
};
template <>
struct GetMatForRead<MatExpr>
{
static const Mat get(const MatExpr& m) { return m; }
};
} // namespace traits
template <typename T>
const Mat getMatForRead(const T& mat)
{
return traits::GetMatForRead<T>::get(mat);
}
extern int test_loop_times;
#define MAX_VALUE 357
......@@ -234,54 +199,22 @@ struct CV_EXPORTS TestUtils
// 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);
static double checkRectSimilarity(const 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);
static double checkNorm(InputArray m);
static double checkNorm(InputArray m1, InputArray m2);
static double checkSimilarity(InputArray m1, InputArray m2);
static void showDiff(InputArray _src, InputArray _gold, InputArray _actual, double eps, bool alwaysShow);
template <typename T1>
static double checkNorm(const T1& m)
{
return checkNorm(getMatForRead(m));
}
template <typename T1, typename T2>
static double checkNorm(const T1& m1, const T2& m2)
static inline double checkNormRelative(InputArray m1, InputArray m2)
{
return checkNorm(getMatForRead(m1), getMatForRead(m2));
}
template <typename T1, typename T2>
static double checkSimilarity(const T1& m1, const T2& m2)
{
return checkSimilarity(getMatForRead(m1), getMatForRead(m2));
}
template <typename T1, typename T2>
static inline double checkNormRelative(const T1& m1, const T2& m2)
{
const Mat _m1 = getMatForRead(m1);
const Mat _m2 = 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 = getMatForRead(src);
const Mat _gold = getMatForRead(gold);
const Mat _actual = getMatForRead(actual);
showDiff(_src, _gold, _actual, eps, alwaysShow);
return cv::norm(m1.getMat(), m2.getMat(), cv::NORM_INF) /
std::max((double)std::numeric_limits<float>::epsilon(),
(double)std::max(cv::norm(m1.getMat(), cv::NORM_INF), norm(m2.getMat(), cv::NORM_INF)));
}
};
......@@ -341,8 +274,6 @@ CV_ENUM(BorderType, BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT, BORDER_WR
#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
} } // namespace cvtest::ocl
#endif // __OPENCV_TS_OCL_TEST_HPP__
......@@ -43,8 +43,6 @@
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
......@@ -82,6 +80,4 @@ void randu(InputOutputArray dst)
} // namespace perf
}} // namespace cvtest::ocl
#endif // HAVE_OPENCL
} } // namespace cvtest::ocl
......@@ -43,8 +43,6 @@
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
......@@ -197,41 +195,39 @@ Mat TestUtils::readImageType(const String &fname, int type)
return src;
}
double TestUtils::checkNorm(const Mat &m)
double TestUtils::checkNorm(InputArray m)
{
return norm(m, NORM_INF);
return norm(m.getMat(), NORM_INF);
}
double TestUtils::checkNorm(const Mat &m1, const Mat &m2)
double TestUtils::checkNorm(InputArray m1, InputArray m2)
{
return norm(m1, m2, NORM_INF);
return norm(m1.getMat(), m2.getMat(), NORM_INF);
}
double TestUtils::checkSimilarity(const Mat &m1, const Mat &m2)
double TestUtils::checkSimilarity(InputArray m1, InputArray m2)
{
Mat diff;
matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED);
matchTemplate(m1.getMat(), m2.getMat(), 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 TestUtils::checkRectSimilarity(const 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)
{
if (sz1 != sz2)
return sz1 > sz2 ? (double)(sz1 - sz2) : (double)(sz2 - sz1);
}
else
{
if(sz1==0 && sz2==0)
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++)
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);
......@@ -251,7 +247,7 @@ double TestUtils::checkRectSimilarity(Size sz, std::vector<Rect>& ob1, std::vect
cv::Mat result_;
multiply(cpu_result, gpu_result, result_);
int result = cv::countNonZero(result_ > 0);
if(cpu_area!=0 && 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;
......@@ -259,8 +255,10 @@ double TestUtils::checkRectSimilarity(Size sz, std::vector<Rect>& ob1, std::vect
return final_test_result;
}
void TestUtils::showDiff(const Mat& src, const Mat& gold, const Mat& actual, double eps, bool alwaysShow)
void TestUtils::showDiff(InputArray _src, InputArray _gold, InputArray _actual, double eps, bool alwaysShow)
{
Mat src = _src.getMat(), actual = _actual.getMat(), gold = _gold.getMat();
Mat diff, diff_thresh;
absdiff(gold, actual, diff);
diff.convertTo(diff, CV_32F);
......@@ -288,6 +286,4 @@ void TestUtils::showDiff(const Mat& src, const Mat& gold, const Mat& actual, dou
}
}
}} // namespace cvtest::ocl
#endif // HAVE_OPENCL
} } // namespace cvtest::ocl
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