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Merge pull request #18257 from OrestChura:oc/fluid_operator_bitwise_and_scalar
[G-API]: Add Fluid bitwise operations implementation for (GMat, GScalar) * Added Fluid `bitwise` with `Scalar` + acc.tests - simple loop implementation for Fluid used (no `hal`); - `Scalar` is casted to `int` in the beginning - tests just modified to work with `Scalar` - expected output in operators' tests fixed (operators can't change Mat's depth) - `float` `Scalar` `RNG` added, `RNG` reworked (`time` is used now), initialization of test fixtures reworked - if input or output is `float` Scalar is initialized by `float` - some problems with Fluid/OCV floating-point comparison difference stashed by `AbsSimilarPoints()` usage, FIXME added - divide-by-zero is now fixed differently and everywhere * - Added perf_tests for bitwise_Scalar operations - due to errors of Fluid floating-point comparison operations, added support of different validation in Cmp perf_tests; added FIXME - reworked integral initialization of Scalar * Addressing comments - NULL -> nullptr - Scalar convertion moved to the function - avoid -> avoiding * Addressing comments * CV_assert -> GAPI_assert * Addressed DM comments - refactored convertScalarForBitwise() - removed unnecessary braces for switch * Changed the operators tests - switch via `enum` implemented - infrastructure for that refactored
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@@ -43,8 +43,8 @@ namespace opencv_test
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class Polar2CartPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, cv::GCompileArgs>> {};
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class Cart2PolarPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, cv::GCompileArgs>> {};
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class CmpPerfTest : public TestPerfParams<tuple<CmpTypes, cv::Size, MatType, cv::GCompileArgs>> {};
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class CmpWithScalarPerfTest : public TestPerfParams<tuple<CmpTypes, cv::Size, MatType, cv::GCompileArgs>> {};
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class BitwisePerfTest : public TestPerfParams<tuple<bitwiseOp, cv::Size, MatType, cv::GCompileArgs>> {};
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class CmpWithScalarPerfTest : public TestPerfParams<tuple<compare_f, CmpTypes, cv::Size, MatType, cv::GCompileArgs>> {};
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class BitwisePerfTest : public TestPerfParams<tuple<bitwiseOp, bool, cv::Size, MatType, cv::GCompileArgs>> {};
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class BitwiseNotPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
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class SelectPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
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class MinPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
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@@ -402,10 +402,6 @@ PERF_TEST_P_(DivRCPerfTest, TestPerformance)
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// FIXIT Unstable input data for divide
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initMatsRandU(type, sz, dtype, false);
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// FIXIT Unstable input data for divide, don't process zeros
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sc += Scalar::all(1);
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in_mat1 += 1;
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// OpenCV code ///////////////////////////////////////////////////////////
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cv::divide(sc, in_mat1, out_mat_ocv, 1.0, dtype);
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@@ -426,7 +422,7 @@ PERF_TEST_P_(DivRCPerfTest, TestPerformance)
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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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// FIXIT unrealiable check: EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
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EXPECT_EQ(out_mat_gapi.size(), sz);
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SANITY_CHECK_NOTHING();
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@@ -630,10 +626,12 @@ PERF_TEST_P_(CmpPerfTest, TestPerformance)
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PERF_TEST_P_(CmpWithScalarPerfTest, TestPerformance)
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{
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CmpTypes 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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cv::GCompileArgs compile_args = get<3>(GetParam());
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MatType type = -1;
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CmpTypes opType = CMP_EQ;
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cv::Size sz;
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compare_f cmpF;
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cv::GCompileArgs compile_args;
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std::tie(cmpF, opType, sz, type, compile_args) = GetParam();
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initMatsRandU(type, sz, CV_8U, false);
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@@ -666,8 +664,8 @@ PERF_TEST_P_(CmpWithScalarPerfTest, TestPerformance)
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}
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// Comparison ////////////////////////////////////////////////////////////
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EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF));
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EXPECT_EQ(out_mat_gapi.size(), sz);
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EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
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SANITY_CHECK_NOTHING();
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}
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@@ -676,50 +674,76 @@ PERF_TEST_P_(CmpWithScalarPerfTest, TestPerformance)
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PERF_TEST_P_(BitwisePerfTest, TestPerformance)
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{
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bitwiseOp 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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cv::GCompileArgs compile_args = get<3>(GetParam());
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MatType type = -1;
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bitwiseOp opType = AND;
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bool testWithScalar = false;
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cv::Size sz;
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cv::GCompileArgs compile_args;
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std::tie(opType, testWithScalar, sz, type, compile_args) = GetParam();
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initMatsRandU(type, sz, type, false);
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// G-API code & corresponding OpenCV code ////////////////////////////////
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cv::GMat in1, in2, out;
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switch (opType)
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if( testWithScalar )
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{
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case AND:
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{
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out = cv::gapi::bitwise_and(in1, in2);
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cv::bitwise_and(in_mat1, in_mat2, out_mat_ocv);
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break;
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}
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case OR:
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{
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out = cv::gapi::bitwise_or(in1, in2);
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cv::bitwise_or(in_mat1, in_mat2, out_mat_ocv);
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break;
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}
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case XOR:
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{
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out = cv::gapi::bitwise_xor(in1, in2);
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cv::bitwise_xor(in_mat1, in_mat2, out_mat_ocv);
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break;
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}
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default:
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{
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FAIL() << "no such bitwise operation type!";
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}
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}
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cv::GComputation c(GIn(in1, in2), GOut(out));
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cv::GScalar sc1;
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switch (opType)
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{
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case AND:
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out = cv::gapi::bitwise_and(in1, sc1);
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cv::bitwise_and(in_mat1, sc, out_mat_ocv);
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break;
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case OR:
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out = cv::gapi::bitwise_or(in1, sc1);
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cv::bitwise_or(in_mat1, sc, out_mat_ocv);
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break;
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case XOR:
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out = cv::gapi::bitwise_xor(in1, sc1);
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cv::bitwise_xor(in_mat1, sc, out_mat_ocv);
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break;
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default:
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FAIL() << "no such bitwise operation type!";
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}
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cv::GComputation c(GIn(in1, sc1), GOut(out));
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// Warm-up graph engine:
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auto cc = c.compile(descr_of(gin(in_mat1, in_mat2)),
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std::move(compile_args));
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cc(gin(in_mat1, in_mat2), gout(out_mat_gapi));
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// Warm-up graph engine:
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c.apply(gin(in_mat1, sc), gout(out_mat_gapi), std::move(compile_args));
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TEST_CYCLE()
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TEST_CYCLE()
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{
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c.apply(gin(in_mat1, sc), gout(out_mat_gapi));
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}
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}
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else
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{
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cc(gin(in_mat1, in_mat2), gout(out_mat_gapi));
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switch (opType)
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{
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case AND:
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out = cv::gapi::bitwise_and(in1, in2);
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cv::bitwise_and(in_mat1, in_mat2, out_mat_ocv);
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break;
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case OR:
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out = cv::gapi::bitwise_or(in1, in2);
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cv::bitwise_or(in_mat1, in_mat2, out_mat_ocv);
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break;
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case XOR:
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out = cv::gapi::bitwise_xor(in1, in2);
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cv::bitwise_xor(in_mat1, in_mat2, out_mat_ocv);
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break;
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default:
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FAIL() << "no such bitwise operation type!";
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}
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cv::GComputation c(GIn(in1, in2), GOut(out));
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// Warm-up graph engine:
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c.apply(gin(in_mat1, in_mat2), gout(out_mat_gapi), std::move(compile_args));
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TEST_CYCLE()
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{
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c.apply(gin(in_mat1, in_mat2), gout(out_mat_gapi));
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}
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}
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// Comparison ////////////////////////////////////////////////////////////
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