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
This commit is contained in:
committed by
Alexander Alekhin
parent
8f4e5c2fb8
commit
51cc78b2a2
@@ -50,9 +50,9 @@ namespace opencv_test
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class MaxPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
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class AbsDiffPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
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class AbsDiffCPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
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class SumPerfTest : public TestPerfParams<tuple<cv::Size, MatType, double, cv::GCompileArgs>> {};
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class AddWeightedPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, double, cv::GCompileArgs>> {};
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class NormPerfTest : public TestPerfParams<tuple<NormTypes, cv::Size, MatType, double, cv::GCompileArgs>> {};
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class SumPerfTest : public TestPerfParams<tuple<compare_scalar_f, cv::Size, MatType, cv::GCompileArgs>> {};
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class AddWeightedPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, MatType, int, cv::GCompileArgs>> {};
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class NormPerfTest : public TestPerfParams<tuple<compare_scalar_f, NormTypes, cv::Size, MatType, cv::GCompileArgs>> {};
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class IntegralPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
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class ThresholdPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
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class ThresholdOTPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
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@@ -900,13 +900,13 @@ PERF_TEST_P_(AbsDiffCPerfTest, TestPerformance)
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PERF_TEST_P_(SumPerfTest, TestPerformance)
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{
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cv::Size sz_in = get<0>(GetParam());
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MatType type = get<1>(GetParam());
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double tolerance = get<2>(GetParam());
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compare_scalar_f cmpF = get<0>(GetParam());
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cv::Size sz_in = get<1>(GetParam());
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MatType type = get<2>(GetParam());
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cv::GCompileArgs compile_args = get<3>(GetParam());
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initMatrixRandU(type, sz_in, false);
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initMatrixRandU(type, sz_in, type, false);
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cv::Scalar out_sum;
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cv::Scalar out_sum_ocv;
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@@ -928,8 +928,7 @@ PERF_TEST_P_(SumPerfTest, TestPerformance)
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// Comparison ////////////////////////////////////////////////////////////
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{
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EXPECT_LE(std::abs(out_sum[0] - out_sum_ocv[0]) / std::max(1.0, std::abs(out_sum_ocv[0])), tolerance)
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<< "OCV=" << out_sum_ocv[0] << " GAPI=" << out_sum[0];
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EXPECT_TRUE(cmpF(out_sum, out_sum_ocv));
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}
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SANITY_CHECK_NOTHING();
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@@ -939,10 +938,10 @@ PERF_TEST_P_(SumPerfTest, TestPerformance)
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PERF_TEST_P_(AddWeightedPerfTest, TestPerformance)
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{
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cv::Size sz_in = get<0>(GetParam());
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MatType type = get<1>(GetParam());
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int dtype = get<2>(GetParam());
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double tolerance = get<3>(GetParam());
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compare_f cmpF = get<0>(GetParam());
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cv::Size sz_in = get<1>(GetParam());
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MatType type = get<2>(GetParam());
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int dtype = get<3>(GetParam());
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cv::GCompileArgs compile_args = get<4>(GetParam());
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auto& rng = cv::theRNG();
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@@ -968,45 +967,9 @@ PERF_TEST_P_(AddWeightedPerfTest, TestPerformance)
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}
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// Comparison ////////////////////////////////////////////////////////////
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// FIXIT unrealiable check
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if (0)
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{
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// Note, that we cannot expect bitwise results for add-weighted:
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//
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// tmp = src1*alpha + src2*beta + gamma;
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// dst = saturate<DST>( round(tmp) );
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//
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// Because tmp is floating-point, dst depends on compiler optimizations
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//
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// However, we must expect good accuracy of tmp, and rounding correctly
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EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
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EXPECT_EQ(out_mat_gapi.size(), sz_in);
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cv::Mat failures;
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if (out_mat_ocv.type() == CV_32FC1)
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{
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// result: float - may vary in 7th decimal digit
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failures = abs(out_mat_gapi - out_mat_ocv) > abs(out_mat_ocv) * 1e-6;
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}
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else
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{
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// result: integral - rounding may vary if fractional part of tmp
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// is nearly 0.5
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cv::Mat inexact, incorrect, diff, tmp;
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inexact = out_mat_gapi != out_mat_ocv;
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// even if rounded differently, check if still rounded correctly
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cv::addWeighted(in_mat1, alpha, in_mat2, beta, gamma, tmp, CV_32F);
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cv::subtract(out_mat_gapi, tmp, diff, cv::noArray(), CV_32F);
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incorrect = abs(diff) >= tolerance;// 0.5000005f; // relative to 6 digits
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failures = inexact & incorrect;
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}
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EXPECT_EQ(0, cv::countNonZero(failures));
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EXPECT_EQ(out_mat_gapi.size(), sz_in);
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}
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SANITY_CHECK_NOTHING();
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}
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@@ -1015,10 +978,10 @@ PERF_TEST_P_(AddWeightedPerfTest, TestPerformance)
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PERF_TEST_P_(NormPerfTest, TestPerformance)
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{
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NormTypes opType = get<0>(GetParam());
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cv::Size sz = get<1>(GetParam());
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MatType type = get<2>(GetParam());
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double tolerance = get<3>(GetParam());
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compare_scalar_f cmpF = get<0>(GetParam());
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NormTypes opType = get<1>(GetParam());
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cv::Size sz = get<2>(GetParam());
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MatType type = get<3>(GetParam());
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cv::GCompileArgs compile_args = get<4>(GetParam());
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@@ -1051,8 +1014,7 @@ PERF_TEST_P_(NormPerfTest, TestPerformance)
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// Comparison ////////////////////////////////////////////////////////////
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{
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EXPECT_LE(std::abs(out_norm[0] - out_norm_ocv[0]) / std::max(1.0, std::abs(out_norm_ocv[0])), tolerance)
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<< "OCV=" << out_norm_ocv[0] << " GAPI=" << out_norm[0];
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EXPECT_TRUE(cmpF(out_norm, out_norm_ocv));
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}
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SANITY_CHECK_NOTHING();
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@@ -152,24 +152,24 @@ INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestCPU, AbsDiffCPerfTest,
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Values(cv::compile_args(CORE_CPU))));
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INSTANTIATE_TEST_CASE_P(SumPerfTestCPU, SumPerfTest,
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Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
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Combine(Values(AbsToleranceScalar(0.0).to_compare_f()),
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Values(szSmall128, szVGA, sz720p, sz1080p),
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Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
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Values(0.0),
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//Values(0.0),
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Values(cv::compile_args(CORE_CPU))));
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// FIXME: Comparison introduced by YL doesn't work with C3
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INSTANTIATE_TEST_CASE_P(AddWeightedPerfTestCPU, AddWeightedPerfTest,
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Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
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Values(CV_8UC1, /*CV_8UC3,*/ CV_16UC1, CV_16SC1, CV_32FC1),
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Combine(Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_f()),
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Values(szSmall128, szVGA, sz720p, sz1080p),
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Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
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Values(-1, CV_8U, CV_16U, CV_32F),
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Values(0.5000005),
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Values(cv::compile_args(CORE_CPU))));
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INSTANTIATE_TEST_CASE_P(NormPerfTestCPU, NormPerfTest,
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Combine(Values(NORM_INF, NORM_L1, NORM_L2),
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Combine(Values(AbsToleranceScalar(0.0).to_compare_f()),
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Values(NORM_INF, NORM_L1, NORM_L2),
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Values(szSmall128, szVGA, sz720p, sz1080p),
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Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
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Values(0.0),
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Values(cv::compile_args(CORE_CPU))));
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INSTANTIATE_TEST_CASE_P(IntegralPerfTestCPU, IntegralPerfTest,
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@@ -153,24 +153,23 @@ INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestGPU, AbsDiffCPerfTest,
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Values(cv::compile_args(CORE_GPU))));
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INSTANTIATE_TEST_CASE_P(SumPerfTestGPU, SumPerfTest,
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Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
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Combine(Values(AbsToleranceScalar(1e-5).to_compare_f()),
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Values( szSmall128, szVGA, sz720p, sz1080p ),
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Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
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Values(4.0), //TODO: too relaxed?
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Values(cv::compile_args(CORE_GPU))));
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// FIXME: Comparison introduced by YL doesn't work with C3
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INSTANTIATE_TEST_CASE_P(AddWeightedPerfTestGPU, AddWeightedPerfTest,
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Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
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Values( CV_8UC1, /*CV_8UC3,*/ CV_16UC1, CV_16SC1, CV_32FC1 ),
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Combine(Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_f()),
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Values( szSmall128, szVGA, sz720p, sz1080p ),
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Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
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Values( -1, CV_8U, CV_16U, CV_32F ),
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Values(0.50005),
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Values(cv::compile_args(CORE_GPU))));
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INSTANTIATE_TEST_CASE_P(NormPerfTestGPU, NormPerfTest,
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Combine(Values(NORM_INF, NORM_L1, NORM_L2),
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Combine(Values(AbsToleranceScalar(1e-5).to_compare_f()),
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Values(NORM_INF, NORM_L1, NORM_L2),
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Values( szSmall128, szVGA, sz720p, sz1080p ),
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Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
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Values(4.0), //TODO: too relaxed?
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Values(cv::compile_args(CORE_GPU))));
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INSTANTIATE_TEST_CASE_P(IntegralPerfTestGPU, IntegralPerfTest,
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@@ -109,10 +109,20 @@ INSTANTIATE_TEST_CASE_P(Dilate3x3PerfTestGPU, Dilate3x3PerfTest,
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INSTANTIATE_TEST_CASE_P(SobelPerfTestGPU, SobelPerfTest,
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Combine(Values(ToleranceFilter(1e-4f, 0.01).to_compare_f()),
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Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1/*, CV_32FC1*/), //TODO: CV_32FC1 fails accuracy
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Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
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Values(3, 5),
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Values(szVGA, sz720p, sz1080p),
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Values(-1, CV_32F),
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Values(-1, CV_16S, CV_32F),
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Values(0, 1),
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Values(1, 2),
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Values(cv::compile_args(IMGPROC_GPU))));
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INSTANTIATE_TEST_CASE_P(SobelPerfTestGPU32F, SobelPerfTest,
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Combine(Values(ToleranceFilter(1e-4f, 0.01).to_compare_f()),
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Values(CV_32FC1),
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Values(3, 5),
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Values(szVGA, sz720p, sz1080p),
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Values(CV_32F),
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Values(0, 1),
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Values(1, 2),
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Values(cv::compile_args(IMGPROC_GPU))));
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@@ -124,9 +124,9 @@ struct MinTest : public TestParams<std::tuple<int,cv::Size,bool, cv::G
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struct MaxTest : public TestParams<std::tuple<int,cv::Size,bool, cv::GCompileArgs>>{};
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struct AbsDiffTest : public TestParams<std::tuple<int,cv::Size,bool, cv::GCompileArgs>>{};
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struct AbsDiffCTest : public TestParams<std::tuple<int,cv::Size,bool, cv::GCompileArgs>> {};
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struct SumTest : public TestParams<std::tuple<int, cv::Size,bool,double,cv::GCompileArgs>> {};
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struct AddWeightedTest : public TestParams<std::tuple<int,cv::Size,int,bool,double,cv::GCompileArgs>>{};
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struct NormTest : public TestParams<std::tuple<NormTypes,int,cv::Size, double, cv::GCompileArgs>>{};
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struct SumTest : public TestParams<std::tuple<int, cv::Size,bool, compare_scalar_f, cv::GCompileArgs>> {};
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struct AddWeightedTest : public TestParams<std::tuple<int,cv::Size,int,bool, compare_f,cv::GCompileArgs>>{};
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struct NormTest : public TestParams<std::tuple<NormTypes,int,cv::Size, compare_scalar_f, cv::GCompileArgs>>{};
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struct IntegralTest : public TestWithParam<std::tuple<int,cv::Size, cv::GCompileArgs>> {};
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struct ThresholdTest : public TestParams<std::tuple<int,cv::Size,int,bool, cv::GCompileArgs>> {};
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struct ThresholdOTTest : public TestParams<std::tuple<int,cv::Size,int,bool, cv::GCompileArgs>> {};
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@@ -681,10 +681,11 @@ TEST_P(AbsDiffCTest, AccuracyTest)
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TEST_P(SumTest, AccuracyTest)
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{
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auto param = GetParam();
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compare_scalar_f cmpF = get<3>(GetParam());
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MatType type = std::get<0>(param);
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cv::Size sz_in = std::get<1>(param);
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auto tolerance = std::get<3>(param);
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auto compile_args = std::get<4>(param);
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initMatrixRandU(std::get<0>(param), sz_in, std::get<2>(param));
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initMatrixRandU(type, sz_in, type, std::get<2>(param));
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cv::Scalar out_sum;
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@@ -702,8 +703,7 @@ TEST_P(SumTest, AccuracyTest)
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}
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// Comparison //////////////////////////////////////////////////////////////
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{
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EXPECT_LE(std::abs(out_sum[0] - out_sum_ocv[0]) / std::max(1.0, std::abs(out_sum_ocv[0])), tolerance)
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<< "OCV=" << out_sum_ocv[0] << " GAPI=" << out_sum[0];
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EXPECT_TRUE(cmpF(out_sum, out_sum_ocv));
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}
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}
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@@ -713,8 +713,8 @@ TEST_P(AddWeightedTest, AccuracyTest)
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cv::Size sz_in;
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bool initOut = false;
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cv::GCompileArgs compile_args;
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double tolerance = 0.0;
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std::tie(type, sz_in, dtype, initOut, tolerance, compile_args) = GetParam();
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compare_f cmpF;
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std::tie(type, sz_in, dtype, initOut, cmpF, compile_args) = GetParam();
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auto& rng = cv::theRNG();
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double alpha = rng.uniform(0.0, 1.0);
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@@ -734,53 +734,19 @@ TEST_P(AddWeightedTest, AccuracyTest)
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cv::addWeighted(in_mat1, alpha, in_mat2, beta, gamma, out_mat_ocv, dtype);
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}
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// Comparison //////////////////////////////////////////////////////////////
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{
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// Note, that we cannot expect bitwise results for add-weighted:
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//
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// tmp = src1*alpha + src2*beta + gamma;
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// dst = saturate<DST>( round(tmp) );
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//
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// Because tmp is floating-point, dst depends on compiler optimizations
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//
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// However, we must expect good accuracy of tmp, and rounding correctly
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EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
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EXPECT_EQ(out_mat_gapi.size(), sz_in);
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cv::Mat failures;
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if (out_mat_ocv.type() == CV_32FC1)
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{
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// result: float - may vary in 7th decimal digit
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failures = abs(out_mat_gapi - out_mat_ocv) > abs(out_mat_ocv) * 1e-6;
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}
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else
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{
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// result: integral - rounding may vary if fractional part of tmp
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// is nearly 0.5
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cv::Mat inexact, incorrect, diff, tmp;
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inexact = out_mat_gapi != out_mat_ocv;
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// even if rounded differently, check if still rounded correctly
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cv::addWeighted(in_mat1, alpha, in_mat2, beta, gamma, tmp, CV_32F);
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cv::subtract(out_mat_gapi, tmp, diff, cv::noArray(), CV_32F);
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incorrect = abs(diff) >= tolerance;// 0.5000005f; // relative to 6 digits
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failures = inexact & incorrect;
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}
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EXPECT_EQ(0, cv::countNonZero(failures));
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EXPECT_EQ(out_mat_gapi.size(), sz_in);
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}
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}
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TEST_P(NormTest, AccuracyTest)
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{
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compare_scalar_f cmpF;
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NormTypes opType = NORM_INF;
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int type = 0;
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cv::Size sz;
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double tolerance = 0.0;
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cv::GCompileArgs compile_args;
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std::tie(opType, type, sz, tolerance, compile_args) = GetParam();
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std::tie(opType, type, sz, cmpF, compile_args) = GetParam();
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initMatrixRandU(type, sz, type, false);
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cv::Scalar out_norm;
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@@ -802,8 +768,7 @@ TEST_P(NormTest, AccuracyTest)
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// Comparison //////////////////////////////////////////////////////////////
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{
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EXPECT_LE(std::abs(out_norm[0] - out_norm_ocv[0]) / std::max(1.0, std::abs(out_norm_ocv[0])), tolerance)
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<< "OCV=" << out_norm_ocv[0] << " GAPI=" << out_norm[0];
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EXPECT_TRUE(cmpF(out_norm, out_norm_ocv));
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}
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}
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@@ -115,6 +115,9 @@ class TestPerfParams: public TestFunctional, public perf::TestBaseWithParam<T>{}
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using compare_f = std::function<bool(const cv::Mat &a, const cv::Mat &b)>;
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using compare_scalar_f = std::function<bool(const cv::Scalar &a, const cv::Scalar &b)>;
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template<typename T>
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struct Wrappable
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{
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@@ -128,6 +131,20 @@ struct Wrappable
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}
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};
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template<typename T>
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struct WrappableScalar
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{
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compare_scalar_f to_compare_f()
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{
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T t = *static_cast<T*const>(this);
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return [t](const cv::Scalar &a, const cv::Scalar &b)
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{
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return t(a, b);
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};
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}
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};
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class AbsExact : public Wrappable<AbsExact>
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{
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public:
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@@ -285,6 +302,28 @@ private:
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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(),
|
||||
|
||||
Reference in New Issue
Block a user