提交 51cc78b2 编写于 作者: D Dmitry Budnikov 提交者: Alexander Alekhin

Merge pull request #13251 from dbudniko:dbudniko/gapi_more_fixes_for_tests

More fixes for G-API tests (#13251)

* scalar comparator and more fixes for tests

* add weighted aligned

* white space

* more white space

* Add weighted test accuracy check enabled
上级 8f4e5c2f
......@@ -50,9 +50,9 @@ namespace opencv_test
class MaxPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class AbsDiffPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class AbsDiffCPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class SumPerfTest : public TestPerfParams<tuple<cv::Size, MatType, double, cv::GCompileArgs>> {};
class AddWeightedPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, double, cv::GCompileArgs>> {};
class NormPerfTest : public TestPerfParams<tuple<NormTypes, cv::Size, MatType, double, cv::GCompileArgs>> {};
class SumPerfTest : public TestPerfParams<tuple<compare_scalar_f, cv::Size, MatType, cv::GCompileArgs>> {};
class AddWeightedPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, MatType, int, cv::GCompileArgs>> {};
class NormPerfTest : public TestPerfParams<tuple<compare_scalar_f, NormTypes, cv::Size, MatType, cv::GCompileArgs>> {};
class IntegralPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class ThresholdPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
class ThresholdOTPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
......
......@@ -900,13 +900,13 @@ PERF_TEST_P_(AbsDiffCPerfTest, TestPerformance)
PERF_TEST_P_(SumPerfTest, TestPerformance)
{
cv::Size sz_in = get<0>(GetParam());
MatType type = get<1>(GetParam());
double tolerance = get<2>(GetParam());
compare_scalar_f cmpF = get<0>(GetParam());
cv::Size sz_in = get<1>(GetParam());
MatType type = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
initMatrixRandU(type, sz_in, false);
initMatrixRandU(type, sz_in, type, false);
cv::Scalar out_sum;
cv::Scalar out_sum_ocv;
......@@ -928,8 +928,7 @@ PERF_TEST_P_(SumPerfTest, TestPerformance)
// Comparison ////////////////////////////////////////////////////////////
{
EXPECT_LE(std::abs(out_sum[0] - out_sum_ocv[0]) / std::max(1.0, std::abs(out_sum_ocv[0])), tolerance)
<< "OCV=" << out_sum_ocv[0] << " GAPI=" << out_sum[0];
EXPECT_TRUE(cmpF(out_sum, out_sum_ocv));
}
SANITY_CHECK_NOTHING();
......@@ -939,10 +938,10 @@ PERF_TEST_P_(SumPerfTest, TestPerformance)
PERF_TEST_P_(AddWeightedPerfTest, TestPerformance)
{
cv::Size sz_in = get<0>(GetParam());
MatType type = get<1>(GetParam());
int dtype = get<2>(GetParam());
double tolerance = get<3>(GetParam());
compare_f cmpF = get<0>(GetParam());
cv::Size sz_in = get<1>(GetParam());
MatType type = get<2>(GetParam());
int dtype = get<3>(GetParam());
cv::GCompileArgs compile_args = get<4>(GetParam());
auto& rng = cv::theRNG();
......@@ -968,45 +967,9 @@ PERF_TEST_P_(AddWeightedPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
// FIXIT unrealiable check
if (0)
{
// Note, that we cannot expect bitwise results for add-weighted:
//
// tmp = src1*alpha + src2*beta + gamma;
// dst = saturate<DST>( round(tmp) );
//
// Because tmp is floating-point, dst depends on compiler optimizations
//
// However, we must expect good accuracy of tmp, and rounding correctly
cv::Mat failures;
if (out_mat_ocv.type() == CV_32FC1)
{
// result: float - may vary in 7th decimal digit
failures = abs(out_mat_gapi - out_mat_ocv) > abs(out_mat_ocv) * 1e-6;
}
else
{
// result: integral - rounding may vary if fractional part of tmp
// is nearly 0.5
cv::Mat inexact, incorrect, diff, tmp;
inexact = out_mat_gapi != out_mat_ocv;
// even if rounded differently, check if still rounded correctly
cv::addWeighted(in_mat1, alpha, in_mat2, beta, gamma, tmp, CV_32F);
cv::subtract(out_mat_gapi, tmp, diff, cv::noArray(), CV_32F);
incorrect = abs(diff) >= tolerance;// 0.5000005f; // relative to 6 digits
failures = inexact & incorrect;
}
EXPECT_EQ(0, cv::countNonZero(failures));
EXPECT_EQ(out_mat_gapi.size(), sz_in);
}
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz_in);
SANITY_CHECK_NOTHING();
}
......@@ -1015,10 +978,10 @@ PERF_TEST_P_(AddWeightedPerfTest, TestPerformance)
PERF_TEST_P_(NormPerfTest, TestPerformance)
{
NormTypes opType = get<0>(GetParam());
cv::Size sz = get<1>(GetParam());
MatType type = get<2>(GetParam());
double tolerance = get<3>(GetParam());
compare_scalar_f cmpF = get<0>(GetParam());
NormTypes opType = get<1>(GetParam());
cv::Size sz = get<2>(GetParam());
MatType type = get<3>(GetParam());
cv::GCompileArgs compile_args = get<4>(GetParam());
......@@ -1051,8 +1014,7 @@ PERF_TEST_P_(NormPerfTest, TestPerformance)
// Comparison ////////////////////////////////////////////////////////////
{
EXPECT_LE(std::abs(out_norm[0] - out_norm_ocv[0]) / std::max(1.0, std::abs(out_norm_ocv[0])), tolerance)
<< "OCV=" << out_norm_ocv[0] << " GAPI=" << out_norm[0];
EXPECT_TRUE(cmpF(out_norm, out_norm_ocv));
}
SANITY_CHECK_NOTHING();
......
......@@ -152,24 +152,24 @@ INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestCPU, AbsDiffCPerfTest,
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(SumPerfTestCPU, SumPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Combine(Values(AbsToleranceScalar(0.0).to_compare_f()),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(0.0),
//Values(0.0),
Values(cv::compile_args(CORE_CPU))));
// FIXME: Comparison introduced by YL doesn't work with C3
INSTANTIATE_TEST_CASE_P(AddWeightedPerfTestCPU, AddWeightedPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, /*CV_8UC3,*/ CV_16UC1, CV_16SC1, CV_32FC1),
Combine(Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_f()),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(-1, CV_8U, CV_16U, CV_32F),
Values(0.5000005),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(NormPerfTestCPU, NormPerfTest,
Combine(Values(NORM_INF, NORM_L1, NORM_L2),
Combine(Values(AbsToleranceScalar(0.0).to_compare_f()),
Values(NORM_INF, NORM_L1, NORM_L2),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(0.0),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(IntegralPerfTestCPU, IntegralPerfTest,
......
......@@ -153,24 +153,23 @@ INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestGPU, AbsDiffCPerfTest,
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(SumPerfTestGPU, SumPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Combine(Values(AbsToleranceScalar(1e-5).to_compare_f()),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(4.0), //TODO: too relaxed?
Values(cv::compile_args(CORE_GPU))));
// FIXME: Comparison introduced by YL doesn't work with C3
INSTANTIATE_TEST_CASE_P(AddWeightedPerfTestGPU, AddWeightedPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, /*CV_8UC3,*/ CV_16UC1, CV_16SC1, CV_32FC1 ),
Combine(Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_f()),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(0.50005),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(NormPerfTestGPU, NormPerfTest,
Combine(Values(NORM_INF, NORM_L1, NORM_L2),
Combine(Values(AbsToleranceScalar(1e-5).to_compare_f()),
Values(NORM_INF, NORM_L1, NORM_L2),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(4.0), //TODO: too relaxed?
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(IntegralPerfTestGPU, IntegralPerfTest,
......
......@@ -109,10 +109,20 @@ INSTANTIATE_TEST_CASE_P(Dilate3x3PerfTestGPU, Dilate3x3PerfTest,
INSTANTIATE_TEST_CASE_P(SobelPerfTestGPU, SobelPerfTest,
Combine(Values(ToleranceFilter(1e-4f, 0.01).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1/*, CV_32FC1*/), //TODO: CV_32FC1 fails accuracy
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(-1, CV_32F),
Values(-1, CV_16S, CV_32F),
Values(0, 1),
Values(1, 2),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(SobelPerfTestGPU32F, SobelPerfTest,
Combine(Values(ToleranceFilter(1e-4f, 0.01).to_compare_f()),
Values(CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(CV_32F),
Values(0, 1),
Values(1, 2),
Values(cv::compile_args(IMGPROC_GPU))));
......
......@@ -124,9 +124,9 @@ struct MinTest : public TestParams<std::tuple<int,cv::Size,bool, cv::G
struct MaxTest : public TestParams<std::tuple<int,cv::Size,bool, cv::GCompileArgs>>{};
struct AbsDiffTest : public TestParams<std::tuple<int,cv::Size,bool, cv::GCompileArgs>>{};
struct AbsDiffCTest : public TestParams<std::tuple<int,cv::Size,bool, cv::GCompileArgs>> {};
struct SumTest : public TestParams<std::tuple<int, cv::Size,bool,double,cv::GCompileArgs>> {};
struct AddWeightedTest : public TestParams<std::tuple<int,cv::Size,int,bool,double,cv::GCompileArgs>>{};
struct NormTest : public TestParams<std::tuple<NormTypes,int,cv::Size, double, cv::GCompileArgs>>{};
struct SumTest : public TestParams<std::tuple<int, cv::Size,bool, compare_scalar_f, cv::GCompileArgs>> {};
struct AddWeightedTest : public TestParams<std::tuple<int,cv::Size,int,bool, compare_f,cv::GCompileArgs>>{};
struct NormTest : public TestParams<std::tuple<NormTypes,int,cv::Size, compare_scalar_f, cv::GCompileArgs>>{};
struct IntegralTest : public TestWithParam<std::tuple<int,cv::Size, cv::GCompileArgs>> {};
struct ThresholdTest : public TestParams<std::tuple<int,cv::Size,int,bool, cv::GCompileArgs>> {};
struct ThresholdOTTest : public TestParams<std::tuple<int,cv::Size,int,bool, cv::GCompileArgs>> {};
......
......@@ -681,10 +681,11 @@ TEST_P(AbsDiffCTest, AccuracyTest)
TEST_P(SumTest, AccuracyTest)
{
auto param = GetParam();
compare_scalar_f cmpF = get<3>(GetParam());
MatType type = std::get<0>(param);
cv::Size sz_in = std::get<1>(param);
auto tolerance = std::get<3>(param);
auto compile_args = std::get<4>(param);
initMatrixRandU(std::get<0>(param), sz_in, std::get<2>(param));
initMatrixRandU(type, sz_in, type, std::get<2>(param));
cv::Scalar out_sum;
......@@ -702,8 +703,7 @@ TEST_P(SumTest, AccuracyTest)
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_LE(std::abs(out_sum[0] - out_sum_ocv[0]) / std::max(1.0, std::abs(out_sum_ocv[0])), tolerance)
<< "OCV=" << out_sum_ocv[0] << " GAPI=" << out_sum[0];
EXPECT_TRUE(cmpF(out_sum, out_sum_ocv));
}
}
......@@ -713,8 +713,8 @@ TEST_P(AddWeightedTest, AccuracyTest)
cv::Size sz_in;
bool initOut = false;
cv::GCompileArgs compile_args;
double tolerance = 0.0;
std::tie(type, sz_in, dtype, initOut, tolerance, compile_args) = GetParam();
compare_f cmpF;
std::tie(type, sz_in, dtype, initOut, cmpF, compile_args) = GetParam();
auto& rng = cv::theRNG();
double alpha = rng.uniform(0.0, 1.0);
......@@ -734,53 +734,19 @@ TEST_P(AddWeightedTest, AccuracyTest)
cv::addWeighted(in_mat1, alpha, in_mat2, beta, gamma, out_mat_ocv, dtype);
}
// Comparison //////////////////////////////////////////////////////////////
{
// Note, that we cannot expect bitwise results for add-weighted:
//
// tmp = src1*alpha + src2*beta + gamma;
// dst = saturate<DST>( round(tmp) );
//
// Because tmp is floating-point, dst depends on compiler optimizations
//
// However, we must expect good accuracy of tmp, and rounding correctly
cv::Mat failures;
if (out_mat_ocv.type() == CV_32FC1)
{
// result: float - may vary in 7th decimal digit
failures = abs(out_mat_gapi - out_mat_ocv) > abs(out_mat_ocv) * 1e-6;
}
else
{
// result: integral - rounding may vary if fractional part of tmp
// is nearly 0.5
cv::Mat inexact, incorrect, diff, tmp;
inexact = out_mat_gapi != out_mat_ocv;
// even if rounded differently, check if still rounded correctly
cv::addWeighted(in_mat1, alpha, in_mat2, beta, gamma, tmp, CV_32F);
cv::subtract(out_mat_gapi, tmp, diff, cv::noArray(), CV_32F);
incorrect = abs(diff) >= tolerance;// 0.5000005f; // relative to 6 digits
failures = inexact & incorrect;
}
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz_in);
EXPECT_EQ(0, cv::countNonZero(failures));
EXPECT_EQ(out_mat_gapi.size(), sz_in);
}
}
TEST_P(NormTest, AccuracyTest)
{
compare_scalar_f cmpF;
NormTypes opType = NORM_INF;
int type = 0;
cv::Size sz;
double tolerance = 0.0;
cv::GCompileArgs compile_args;
std::tie(opType, type, sz, tolerance, compile_args) = GetParam();
std::tie(opType, type, sz, cmpF, compile_args) = GetParam();
initMatrixRandU(type, sz, type, false);
cv::Scalar out_norm;
......@@ -802,8 +768,7 @@ TEST_P(NormTest, AccuracyTest)
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_LE(std::abs(out_norm[0] - out_norm_ocv[0]) / std::max(1.0, std::abs(out_norm_ocv[0])), tolerance)
<< "OCV=" << out_norm_ocv[0] << " GAPI=" << out_norm[0];
EXPECT_TRUE(cmpF(out_norm, out_norm_ocv));
}
}
......
......@@ -115,6 +115,9 @@ class TestPerfParams: public TestFunctional, public perf::TestBaseWithParam<T>{}
using compare_f = std::function<bool(const cv::Mat &a, const cv::Mat &b)>;
using compare_scalar_f = std::function<bool(const cv::Scalar &a, const cv::Scalar &b)>;
template<typename T>
struct Wrappable
{
......@@ -128,6 +131,20 @@ struct Wrappable
}
};
template<typename T>
struct WrappableScalar
{
compare_scalar_f to_compare_f()
{
T t = *static_cast<T*const>(this);
return [t](const cv::Scalar &a, const cv::Scalar &b)
{
return t(a, b);
};
}
};
class AbsExact : public Wrappable<AbsExact>
{
public:
......@@ -285,6 +302,28 @@ private:
double _tol;
double _inf_tol;
};
class AbsToleranceScalar : public WrappableScalar<AbsToleranceScalar>
{
public:
AbsToleranceScalar(double tol) : _tol(tol) {}
bool operator() (const cv::Scalar& in1, const cv::Scalar& in2) const
{
double abs_err = std::abs(in1[0] - in2[0]) / std::max(1.0, std::abs(in2[0]));
if (abs_err > _tol)
{
std::cout << "AbsToleranceScalar error: abs_err=" << abs_err << " tolerance=" << _tol << " in1[0]" << in1[0] << " in2[0]" << in2[0] << std::endl;;
return false;
}
else
{
return true;
}
}
private:
double _tol;
};
} // namespace opencv_test
namespace
......@@ -294,3 +333,11 @@ namespace
return os << "compare_f";
}
}
namespace
{
inline std::ostream& operator<<(std::ostream& os, const opencv_test::compare_scalar_f&)
{
return os << "compare_scalar_f";
}
}
......@@ -203,7 +203,8 @@ INSTANTIATE_TEST_CASE_P(SumTestCPU, SumTest,
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(1e-5),
//Values(1e-5),
Values(AbsToleranceScalar(1e-5).to_compare_f()),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffTestCPU, AbsDiffTest,
......@@ -222,15 +223,14 @@ INSTANTIATE_TEST_CASE_P(AbsDiffCTestCPU, AbsDiffCTest,
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_CPU))));
// FIXME: Comparison introduced by YL doesn't work with C3
INSTANTIATE_TEST_CASE_P(AddWeightedTestCPU, AddWeightedTest,
Combine(Values( CV_8UC1/*, CV_8UC3*/, CV_16UC1, CV_16SC1, CV_32FC1 ),
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
/*init output matrices or not*/ testing::Bool(),
Values(0.5000005),
Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_f()),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(NormTestCPU, NormTest,
......@@ -239,7 +239,8 @@ INSTANTIATE_TEST_CASE_P(NormTestCPU, NormTest,
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(1e-5),
//Values(1e-5),
Values(AbsToleranceScalar(1e-5).to_compare_f()),
Values(cv::compile_args(CORE_CPU))),
opencv_test::PrintNormCoreParams());
......
......@@ -121,7 +121,8 @@ INSTANTIATE_TEST_CASE_P(AddWeightedTestFluid, AddWeightedTest,
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
testing::Bool(),
Values(0.5000005),
Values(Tolerance_FloatRel_IntAbs(1e-5, 2).to_compare_f()),
//Values(0.5000005),
Values(cv::compile_args(CORE_FLUID))));
INSTANTIATE_TEST_CASE_P(LUTTestFluid, LUTTest,
......
......@@ -190,7 +190,7 @@ INSTANTIATE_TEST_CASE_P(SumTestGPU, SumTest,
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(1e-3), //TODO: too relaxed?
Values(AbsToleranceScalar(1e-3).to_compare_f()),//TODO: too relaxed?
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffTestGPU, AbsDiffTest,
......@@ -209,15 +209,14 @@ INSTANTIATE_TEST_CASE_P(AbsDiffCTestGPU, AbsDiffCTest,
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
// FIXME: Comparison introduced by YL doesn't work with C3
INSTANTIATE_TEST_CASE_P(AddWeightedTestGPU, AddWeightedTest,
Combine(Values( CV_8UC1/*, CV_8UC3*/, CV_16UC1, CV_16SC1, CV_32FC1 ),
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
/*init output matrices or not*/ testing::Bool(),
Values(0.50005),
Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_f()),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(NormTestGPU, NormTest,
......@@ -226,7 +225,7 @@ INSTANTIATE_TEST_CASE_P(NormTestGPU, NormTest,
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(1e-3), //TODO: too relaxed?
Values(AbsToleranceScalar(1e-3).to_compare_f()), //TODO: too relaxed?
Values(cv::compile_args(CORE_GPU))),
opencv_test::PrintNormCoreParams());
......
......@@ -131,11 +131,23 @@ INSTANTIATE_TEST_CASE_P(Dilate3x3TestGPU, Dilate3x3Test,
INSTANTIATE_TEST_CASE_P(SobelTestGPU, SobelTest,
Combine(Values(Tolerance_FloatRel_IntAbs(1e-4, 2).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1/*, CV_32FC1*/), //TODO: CV_32FC1 fails accuracy
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(3, 5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_32F),
Values(-1, CV_16S, CV_32F),
Values(0, 1),
Values(1, 2),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(SobelTestGPU32F, SobelTest,
Combine(Values(Tolerance_FloatRel_IntAbs(1e-4, 2).to_compare_f()),
Values(CV_32FC1),
Values(3, 5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_32F),
Values(0, 1),
Values(1, 2),
/*init output matrices or not*/ testing::Bool(),
......
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