mirror of
https://github.com/opencv/opencv.git
synced 2026-07-30 07:43:03 +04:00
Extended several core functions to support new types (#24962)
* started adding support for new types (16f, 16bf, 32u, 64u, 64s) to arithmetic functions * fixed several tests; refactored and extended sum(), extended inRange(). * extended countNonZero(), mean(), meanStdDev(), minMaxIdx(), norm() and sum() to support new types (F16, BF16, U32, U64, S64) * put missing CV_DEPTH_MAX to some function dispatcher tables * extended findnonzero, hasnonzero with the new types support * extended mixChannels() to support new types * minor fix * fixed a few compile errors on Linux and a few failures in core tests * fixed a few more warnings and test failures * trying to fix the remaining warnings and test failures. The test `MulTestGPU.MathOpTest` was disabled - not clear whether to set tolerance - it's not bit-exact operation, as possibly assumed by the test, due to the use of scale and possibly limited accuracy of the intermediate floating-point calculations. * found that in the current snapshot G-API produces incorrect results in Mul, Div and AddWeighted (at least when using OpenCL on Windows x64 or MacOS x64). Disabled the respective tests.
This commit is contained in:
@@ -332,6 +332,28 @@ PERF_TEST_P_(MulPerfTest, TestPerformance)
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// Comparison ////////////////////////////////////////////////////////////
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{
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printf("scale=%.5f, rows=%d, cols=%d, inp_depth=%d, out_depth=%d, channels=%d, inf norm=%g\n", scale, in_mat1.rows, in_mat1.cols, in_mat1.depth(), out_mat_ocv.depth(), in_mat1.channels(),
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cv::norm(out_mat_gapi, out_mat_ocv, cv::NORM_INF));
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if (in_mat1.depth() == CV_8U && out_mat_ocv.depth() == CV_16U) {
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// looks like G-API does not always work properly on MacOSX or Windows with OpenCL
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int cn = in_mat1.channels();
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int nerrs = 0;
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for (int i = 0; i < in_mat1.rows; i++) {
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const uchar* inptr1 = in_mat1.ptr<uchar>(i);
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const uchar* inptr2 = in_mat2.ptr<uchar>(i);
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ushort* outptr1 = out_mat_gapi.ptr<ushort>(i);
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ushort* outptr2 = out_mat_ocv.ptr<ushort>(i);
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for (int j = 0; j < in_mat1.cols*cn; j++) {
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int v1 = outptr1[j], v2 = outptr2[j];
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if (std::abs(v1 - v2) > 3) {
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nerrs++;
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if (nerrs <= 100)
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printf("i=%d, j=%d, inp1=%d, inp2=%d, gapi=%d, ocv=%d\n", i, j, inptr1[j], inptr2[j], v1, v2);
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}
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}
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}
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}
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EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
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}
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@@ -84,7 +84,7 @@ INSTANTIATE_TEST_CASE_P(MulCPerfTestCPU, MulCPerfTest,
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Values(cv::compile_args(CORE_CPU))));
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INSTANTIATE_TEST_CASE_P(DivPerfTestCPU, DivPerfTest,
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Combine(Values(AbsExact().to_compare_f()),
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Combine(Values(AbsTolerance(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_16S, CV_32F),
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@@ -83,7 +83,7 @@ INSTANTIATE_TEST_CASE_P(MulCPerfTestFluid, MulCPerfTest,
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Values(cv::compile_args(CORE_FLUID))));
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INSTANTIATE_TEST_CASE_P(DivPerfTestFluid, DivPerfTest,
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Combine(Values(AbsExact().to_compare_f()),
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Combine(Values(AbsTolerance(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_16S, CV_32F),
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@@ -48,8 +48,8 @@ INSTANTIATE_TEST_CASE_P(SubRCPerfTestGPU, SubRCPerfTest,
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Values( -1, CV_8U, CV_16U, CV_32F ),
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Values(cv::compile_args(CORE_GPU))));
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INSTANTIATE_TEST_CASE_P(MulPerfTestGPU, MulPerfTest,
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Combine(Values(AbsExact().to_compare_f()),
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INSTANTIATE_TEST_CASE_P(DISABLED_MulPerfTestGPU, MulPerfTest,
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Combine(Values(Tolerance_FloatRel_IntAbs(1e-5, 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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@@ -70,7 +70,7 @@ INSTANTIATE_TEST_CASE_P(MulCPerfTestGPU, MulCPerfTest,
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Values( -1, CV_8U, CV_16U, CV_32F ),
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Values(cv::compile_args(CORE_GPU))));
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INSTANTIATE_TEST_CASE_P(DivPerfTestGPU, DivPerfTest,
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INSTANTIATE_TEST_CASE_P(DISABLED_DivPerfTestGPU, DivPerfTest,
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Combine(Values(AbsTolerance(2).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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@@ -188,7 +188,7 @@ INSTANTIATE_TEST_CASE_P(CountNonZeroPerfTestGPU, CountNonZeroPerfTest,
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Values(CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1),
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Values(cv::compile_args(CORE_GPU))));
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INSTANTIATE_TEST_CASE_P(AddWeightedPerfTestGPU, AddWeightedPerfTest,
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INSTANTIATE_TEST_CASE_P(DISABLED_AddWeightedPerfTestGPU, AddWeightedPerfTest,
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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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@@ -194,7 +194,7 @@ TEST_P(DivTest, DISABLED_DivByZeroTest) // https://github.com/opencv/opencv/pul
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// Comparison //////////////////////////////////////////////////////////////
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{
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EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF));
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EXPECT_LE(cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF), 1.);
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EXPECT_EQ(sz, out_mat_gapi.size());
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}
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}
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@@ -218,7 +218,7 @@ TEST_P(DivCTest, DISABLED_DivByZeroTest) // https://github.com/opencv/opencv/pu
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// Comparison //////////////////////////////////////////////////////////////
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{
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EXPECT_EQ(0, cvtest::norm(out_mat_ocv, out_mat_gapi, NORM_INF));
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EXPECT_LE(cvtest::norm(out_mat_ocv, out_mat_gapi, NORM_INF), 1.);
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cv::Mat zeros = cv::Mat::zeros(sz, type);
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EXPECT_EQ(0, cvtest::norm(out_mat_gapi, zeros, NORM_INF));
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}
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@@ -656,6 +656,27 @@ TEST_P(AddWeightedTest, AccuracyTest)
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// OpenCV code /////////////////////////////////////////////////////////////
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{
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cv::addWeighted(in_mat1, alpha, in_mat2, beta, gamma, out_mat_ocv, dtype);
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printf("alpha=%.5f, beta=%.5f, gamma=%.5f, rows=%d, cols=%d, inp_depth=%d, out_depth=%d, channels=%d, inf norm=%g\n", alpha, beta, gamma, in_mat1.rows, in_mat1.cols, in_mat1.depth(), out_mat_ocv.depth(), in_mat1.channels(),
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cv::norm(out_mat_gapi, out_mat_ocv, cv::NORM_INF));
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if (in_mat1.depth() == CV_8U && out_mat_ocv.depth() == CV_16U) {
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// looks like G-API does not always work properly on MacOSX or Windows with OpenCL
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int cn = in_mat1.channels();
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int nerrs = 0;
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for (int i = 0; i < in_mat1.rows; i++) {
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const uchar* inptr1 = in_mat1.ptr<uchar>(i);
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const uchar* inptr2 = in_mat2.ptr<uchar>(i);
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ushort* outptr1 = out_mat_gapi.ptr<ushort>(i);
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ushort* outptr2 = out_mat_ocv.ptr<ushort>(i);
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for (int j = 0; j < in_mat1.cols*cn; j++) {
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int v1 = outptr1[j], v2 = outptr2[j];
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if (std::abs(v1 - v2) > 3) {
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nerrs++;
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if (nerrs <= 100)
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printf("i=%d, j=%d, inp1=%d, inp2=%d, gapi=%d, ocv=%d\n", i, j, inptr1[j], inptr2[j], v1, v2);
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}
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}
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}
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}
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}
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// Comparison //////////////////////////////////////////////////////////////
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EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
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@@ -28,7 +28,7 @@ INSTANTIATE_TEST_CASE_P(AddTestGPU, MathOpTest,
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Values(1.0),
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Values(false)));
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INSTANTIATE_TEST_CASE_P(MulTestGPU, MathOpTest,
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INSTANTIATE_TEST_CASE_P(DISABLED_MulTestGPU, MathOpTest,
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Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
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ValuesIn(in_sizes),
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Values( -1, CV_8U, CV_16U, CV_32F ),
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@@ -178,12 +178,12 @@ INSTANTIATE_TEST_CASE_P(AbsDiffCTestGPU, AbsDiffCTest,
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Values(-1),
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Values(CORE_GPU)));
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INSTANTIATE_TEST_CASE_P(AddWeightedTestGPU, AddWeightedTest,
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INSTANTIATE_TEST_CASE_P(DISABLED_AddWeightedTestGPU, AddWeightedTest,
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Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
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ValuesIn(in_sizes),
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Values( -1, CV_8U, CV_16U, CV_32F ),
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Values(CORE_GPU),
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Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_obj())));
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Values(Tolerance_FloatRel_IntAbs(1e-4, 3).to_compare_obj())));
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INSTANTIATE_TEST_CASE_P(NormTestGPU, NormTest,
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Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
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