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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
This commit is contained in:
Orest Chura
2020-09-18 16:44:47 +03:00
committed by GitHub
parent 7163781639
commit d1cdef596c
17 changed files with 606 additions and 284 deletions
@@ -43,8 +43,8 @@ namespace opencv_test
class Polar2CartPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, cv::GCompileArgs>> {};
class Cart2PolarPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, cv::GCompileArgs>> {};
class CmpPerfTest : public TestPerfParams<tuple<CmpTypes, cv::Size, MatType, cv::GCompileArgs>> {};
class CmpWithScalarPerfTest : public TestPerfParams<tuple<CmpTypes, cv::Size, MatType, cv::GCompileArgs>> {};
class BitwisePerfTest : public TestPerfParams<tuple<bitwiseOp, cv::Size, MatType, cv::GCompileArgs>> {};
class CmpWithScalarPerfTest : public TestPerfParams<tuple<compare_f, CmpTypes, cv::Size, MatType, cv::GCompileArgs>> {};
class BitwisePerfTest : public TestPerfParams<tuple<bitwiseOp, bool, cv::Size, MatType, cv::GCompileArgs>> {};
class BitwiseNotPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class SelectPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class MinPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
@@ -402,10 +402,6 @@ PERF_TEST_P_(DivRCPerfTest, TestPerformance)
// FIXIT Unstable input data for divide
initMatsRandU(type, sz, dtype, false);
// FIXIT Unstable input data for divide, don't process zeros
sc += Scalar::all(1);
in_mat1 += 1;
// OpenCV code ///////////////////////////////////////////////////////////
cv::divide(sc, in_mat1, out_mat_ocv, 1.0, dtype);
@@ -426,7 +422,7 @@ PERF_TEST_P_(DivRCPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
// FIXIT unrealiable check: EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
SANITY_CHECK_NOTHING();
@@ -630,10 +626,12 @@ PERF_TEST_P_(CmpPerfTest, TestPerformance)
PERF_TEST_P_(CmpWithScalarPerfTest, TestPerformance)
{
CmpTypes opType = get<0>(GetParam());
cv::Size sz = get<1>(GetParam());
MatType type = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
MatType type = -1;
CmpTypes opType = CMP_EQ;
cv::Size sz;
compare_f cmpF;
cv::GCompileArgs compile_args;
std::tie(cmpF, opType, sz, type, compile_args) = GetParam();
initMatsRandU(type, sz, CV_8U, false);
@@ -666,8 +664,8 @@ PERF_TEST_P_(CmpWithScalarPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF));
EXPECT_EQ(out_mat_gapi.size(), sz);
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
SANITY_CHECK_NOTHING();
}
@@ -676,50 +674,76 @@ PERF_TEST_P_(CmpWithScalarPerfTest, TestPerformance)
PERF_TEST_P_(BitwisePerfTest, TestPerformance)
{
bitwiseOp opType = get<0>(GetParam());
cv::Size sz = get<1>(GetParam());
MatType type = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
MatType type = -1;
bitwiseOp opType = AND;
bool testWithScalar = false;
cv::Size sz;
cv::GCompileArgs compile_args;
std::tie(opType, testWithScalar, sz, type, compile_args) = GetParam();
initMatsRandU(type, sz, type, false);
// G-API code & corresponding OpenCV code ////////////////////////////////
cv::GMat in1, in2, out;
switch (opType)
if( testWithScalar )
{
case AND:
{
out = cv::gapi::bitwise_and(in1, in2);
cv::bitwise_and(in_mat1, in_mat2, out_mat_ocv);
break;
}
case OR:
{
out = cv::gapi::bitwise_or(in1, in2);
cv::bitwise_or(in_mat1, in_mat2, out_mat_ocv);
break;
}
case XOR:
{
out = cv::gapi::bitwise_xor(in1, in2);
cv::bitwise_xor(in_mat1, in_mat2, out_mat_ocv);
break;
}
default:
{
FAIL() << "no such bitwise operation type!";
}
}
cv::GComputation c(GIn(in1, in2), GOut(out));
cv::GScalar sc1;
switch (opType)
{
case AND:
out = cv::gapi::bitwise_and(in1, sc1);
cv::bitwise_and(in_mat1, sc, out_mat_ocv);
break;
case OR:
out = cv::gapi::bitwise_or(in1, sc1);
cv::bitwise_or(in_mat1, sc, out_mat_ocv);
break;
case XOR:
out = cv::gapi::bitwise_xor(in1, sc1);
cv::bitwise_xor(in_mat1, sc, out_mat_ocv);
break;
default:
FAIL() << "no such bitwise operation type!";
}
cv::GComputation c(GIn(in1, sc1), GOut(out));
// Warm-up graph engine:
auto cc = c.compile(descr_of(gin(in_mat1, in_mat2)),
std::move(compile_args));
cc(gin(in_mat1, in_mat2), gout(out_mat_gapi));
// Warm-up graph engine:
c.apply(gin(in_mat1, sc), gout(out_mat_gapi), std::move(compile_args));
TEST_CYCLE()
TEST_CYCLE()
{
c.apply(gin(in_mat1, sc), gout(out_mat_gapi));
}
}
else
{
cc(gin(in_mat1, in_mat2), gout(out_mat_gapi));
switch (opType)
{
case AND:
out = cv::gapi::bitwise_and(in1, in2);
cv::bitwise_and(in_mat1, in_mat2, out_mat_ocv);
break;
case OR:
out = cv::gapi::bitwise_or(in1, in2);
cv::bitwise_or(in_mat1, in_mat2, out_mat_ocv);
break;
case XOR:
out = cv::gapi::bitwise_xor(in1, in2);
cv::bitwise_xor(in_mat1, in_mat2, out_mat_ocv);
break;
default:
FAIL() << "no such bitwise operation type!";
}
cv::GComputation c(GIn(in1, in2), GOut(out));
// Warm-up graph engine:
c.apply(gin(in_mat1, in_mat2), gout(out_mat_gapi), std::move(compile_args));
TEST_CYCLE()
{
c.apply(gin(in_mat1, in_mat2), gout(out_mat_gapi));
}
}
// Comparison ////////////////////////////////////////////////////////////