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Merge pull request #13008 from dbudniko:dbudniko/gpu_opencl_backend

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G-API GPU-OpenCL backend (#13008)

* gpu/ocl backend core

* accuracy tests added and adjusted + license headers

* GPU perf. tests added; almost all adjusted to pass

* all tests adjusted and passed - ready for pull request

* missing license headers

* fix warning (workaround RGB2Gray)

* fix c++ magic

* precompiled header

* white spaces

* try to fix warning and blur test

* try to fix Blur perf tests

* more alignments with the latest cpu backend

* more gapi tests refactoring + 1 more UB issue fix + more informative tolerance exceed reports

* white space fix

* try workaround for SumTest

* GAPI_EXPORTS instead CV_EXPORTS
This commit is contained in:
Dmitry Budnikov 2018-11-08 22:14:53 +03:00 committed by Alexander Alekhin
parent ebc8015638
commit 5087ff0814
39 changed files with 3677 additions and 729 deletions
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8
modules/gapi/CMakeLists.txt
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@ -22,6 +22,7 @@ file(GLOB gapi_ext_hdrs
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/*.h"
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/util/*.hpp"
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/cpu/*.hpp"
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/gpu/*.hpp"
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/fluid/*.hpp"
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/own/*.hpp"
)
@ -70,6 +71,13 @@ set(gapi_srcs
src/backends/fluid/gfluidimgproc.cpp
src/backends/fluid/gfluidcore.cpp
# GPU Backend (currently built-in)
src/backends/gpu/ggpubackend.cpp
src/backends/gpu/ggpukernel.cpp
src/backends/gpu/ggpuimgproc.cpp
src/backends/gpu/ggpucore.cpp
# Compound
src/backends/common/gcompoundbackend.cpp
src/backends/common/gcompoundkernel.cpp

2
modules/gapi/include/opencv2/gapi/garg.hpp
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@ -90,6 +90,7 @@ using GRunArg = util::variant<
#if !defined(GAPI_STANDALONE)
cv::Mat,
cv::Scalar,
cv::UMat,
#endif // !defined(GAPI_STANDALONE)
cv::gapi::own::Mat,
cv::gapi::own::Scalar,
@ -101,6 +102,7 @@ using GRunArgP = util::variant<
#if !defined(GAPI_STANDALONE)
cv::Mat*,
cv::Scalar*,
cv::UMat*,
#endif // !defined(GAPI_STANDALONE)
cv::gapi::own::Mat*,
cv::gapi::own::Scalar*,

1
modules/gapi/include/opencv2/gapi/gmat.hpp
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@ -119,6 +119,7 @@ static inline GMatDesc empty_gmat_desc() { return GMatDesc{-1,-1,{-1,-1}}; }
#if !defined(GAPI_STANDALONE)
class Mat;
GAPI_EXPORTS GMatDesc descr_of(const cv::Mat &mat);
GAPI_EXPORTS GMatDesc descr_of(const cv::UMat &mat);
#endif // !defined(GAPI_STANDALONE)
namespace gapi { namespace own {

27
modules/gapi/include/opencv2/gapi/gpu/core.hpp Normal file
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@ -0,0 +1,27 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#ifndef OPENCV_GAPI_GPU_CORE_API_HPP
#define OPENCV_GAPI_GPU_CORE_API_HPP
#include <opencv2/core/cvdef.h> // GAPI_EXPORTS
#include <opencv2/gapi/gkernel.hpp> // GKernelPackage
namespace cv {
namespace gapi {
namespace core {
namespace gpu {
GAPI_EXPORTS GKernelPackage kernels();
} // namespace gpu
} // namespace core
} // namespace gapi
} // namespace cv
#endif // OPENCV_GAPI_GPU_CORE_API_HPP

230
modules/gapi/include/opencv2/gapi/gpu/ggpukernel.hpp Normal file
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@ -0,0 +1,230 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#ifndef OPENCV_GAPI_GGPUKERNEL_HPP
#define OPENCV_GAPI_GGPUKERNEL_HPP
#include <vector>
#include <functional>
#include <map>
#include <unordered_map>
#include <opencv2/core/mat.hpp>
#include <opencv2/gapi/gcommon.hpp>
#include <opencv2/gapi/gkernel.hpp>
#include <opencv2/gapi/garg.hpp>
// FIXME: namespace scheme for backends?
namespace cv {
namespace gimpl
{
// Forward-declare an internal class
class GGPUExecutable;
} // namespace gimpl
namespace gapi
{
namespace gpu
{
GAPI_EXPORTS cv::gapi::GBackend backend();
} // namespace gpu
} // namespace gapi
// Represents arguments which are passed to a wrapped GPU function
// FIXME: put into detail?
class GAPI_EXPORTS GGPUContext
{
public:
// Generic accessor API
template<typename T>
const T& inArg(int input) { return m_args.at(input).get<T>(); }
// Syntax sugar
const cv::UMat& inMat(int input);
cv::UMat& outMatR(int output); // FIXME: Avoid cv::Mat m = ctx.outMatR()
const cv::gapi::own::Scalar& inVal(int input);
cv::gapi::own::Scalar& outValR(int output); // FIXME: Avoid cv::gapi::own::Scalar s = ctx.outValR()
template<typename T> std::vector<T>& outVecR(int output) // FIXME: the same issue
{
return outVecRef(output).wref<T>();
}
protected:
detail::VectorRef& outVecRef(int output);
std::vector<GArg> m_args;
std::unordered_map<std::size_t, GRunArgP> m_results;
friend class gimpl::GGPUExecutable;
};
class GAPI_EXPORTS GGPUKernel
{
public:
// This function is kernel's execution entry point (does the processing work)
using F = std::function<void(GGPUContext &)>;
GGPUKernel();
explicit GGPUKernel(const F& f);
void apply(GGPUContext &ctx);
protected:
F m_f;
};
// FIXME: This is an ugly ad-hoc imlpementation. TODO: refactor
namespace detail
{
template<class T> struct gpu_get_in;
template<> struct gpu_get_in<cv::GMat>
{
static cv::UMat get(GGPUContext &ctx, int idx) { return ctx.inMat(idx); }
};
template<> struct gpu_get_in<cv::GScalar>
{
static cv::Scalar get(GGPUContext &ctx, int idx) { return to_ocv(ctx.inVal(idx)); }
};
template<typename U> struct gpu_get_in<cv::GArray<U> >
{
static const std::vector<U>& get(GGPUContext &ctx, int idx) { return ctx.inArg<VectorRef>(idx).rref<U>(); }
};
template<class T> struct gpu_get_in
{
static T get(GGPUContext &ctx, int idx) { return ctx.inArg<T>(idx); }
};
struct tracked_cv_umat{
//TODO Think if T - API could reallocate UMat to a proper size - how do we handle this ?
//tracked_cv_umat(cv::UMat& m) : r{(m)}, original_data{m.getMat(ACCESS_RW).data} {}
tracked_cv_umat(cv::UMat& m) : r{ (m) }, original_data{ nullptr } {}
cv::UMat r;
uchar* original_data;
operator cv::UMat& (){ return r;}
void validate() const{
//if (r.getMat(ACCESS_RW).data != original_data)
//{
// util::throw_error
// (std::logic_error
// ("OpenCV kernel output parameter was reallocated. \n"
// "Incorrect meta data was provided ?"));
//}
}
};
struct scalar_wrapper_gpu
{
//FIXME reuse CPU (OpenCV) plugin code
scalar_wrapper_gpu(cv::gapi::own::Scalar& s) : m_s{cv::gapi::own::to_ocv(s)}, m_org_s{s} {};
operator cv::Scalar& () { return m_s; }
void writeBack() const { m_org_s = to_own(m_s); }
cv::Scalar m_s;
cv::gapi::own::Scalar& m_org_s;
};
template<typename... Outputs>
void postprocess_gpu(Outputs&... outs)
{
struct
{
void operator()(tracked_cv_umat* bm) { bm->validate(); }
void operator()(scalar_wrapper_gpu* sw) { sw->writeBack(); }
void operator()(...) { }
} validate;
//dummy array to unfold parameter pack
int dummy[] = { 0, (validate(&outs), 0)... };
cv::util::suppress_unused_warning(dummy);
}
template<class T> struct gpu_get_out;
template<> struct gpu_get_out<cv::GMat>
{
static tracked_cv_umat get(GGPUContext &ctx, int idx)
{
auto& r = ctx.outMatR(idx);
return{ r };
}
};
template<> struct gpu_get_out<cv::GScalar>
{
static scalar_wrapper_gpu get(GGPUContext &ctx, int idx)
{
auto& s = ctx.outValR(idx);
return{ s };
}
};
template<typename U> struct gpu_get_out<cv::GArray<U> >
{
static std::vector<U>& get(GGPUContext &ctx, int idx) { return ctx.outVecR<U>(idx); }
};
template<typename, typename, typename>
struct GPUCallHelper;
// FIXME: probably can be simplified with std::apply or analogue.
template<typename Impl, typename... Ins, typename... Outs>
struct GPUCallHelper<Impl, std::tuple<Ins...>, std::tuple<Outs...> >
{
template<typename... Inputs>
struct call_and_postprocess
{
template<typename... Outputs>
static void call(Inputs&&... ins, Outputs&&... outs)
{
//not using a std::forward on outs is deliberate in order to
//cause compilation error, by tring to bind rvalue references to lvalue references
Impl::run(std::forward<Inputs>(ins)..., outs...);
postprocess_gpu(outs...);
}
};
template<int... IIs, int... OIs>
static void call_impl(GGPUContext &ctx, detail::Seq<IIs...>, detail::Seq<OIs...>)
{
//TODO: Make sure that OpenCV kernels do not reallocate memory for output parameters
//by comparing it's state (data ptr) before and after the call.
//Convert own::Scalar to cv::Scalar before call kernel and run kernel
//convert cv::Scalar to own::Scalar after call kernel and write back results
call_and_postprocess<decltype(gpu_get_in<Ins>::get(ctx, IIs))...>::call(gpu_get_in<Ins>::get(ctx, IIs)..., gpu_get_out<Outs>::get(ctx, OIs)...);
}
static void call(GGPUContext &ctx)
{
call_impl(ctx,
typename detail::MkSeq<sizeof...(Ins)>::type(),
typename detail::MkSeq<sizeof...(Outs)>::type());
}
};
} // namespace detail
template<class Impl, class K>
class GGPUKernelImpl: public detail::GPUCallHelper<Impl, typename K::InArgs, typename K::OutArgs>
{
using P = detail::GPUCallHelper<Impl, typename K::InArgs, typename K::OutArgs>;
public:
using API = K;
static cv::gapi::GBackend backend() { return cv::gapi::gpu::backend(); }
static cv::GGPUKernel kernel() { return GGPUKernel(&P::call); }
};
#define GAPI_GPU_KERNEL(Name, API) struct Name: public cv::GGPUKernelImpl<Name, API>
} // namespace cv
#endif // OPENCV_GAPI_GGPUKERNEL_HPP

27
modules/gapi/include/opencv2/gapi/gpu/imgproc.hpp Normal file
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@ -0,0 +1,27 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#ifndef OPENCV_GAPI_GPU_IMGPROC_API_HPP
#define OPENCV_GAPI_GPU_IMGPROC_API_HPP
#include <opencv2/core/cvdef.h> // GAPI_EXPORTS
#include <opencv2/gapi/gkernel.hpp> // GKernelPackage
namespace cv {
namespace gapi {
namespace imgproc {
namespace gpu {
GAPI_EXPORTS GKernelPackage kernels();
} // namespace gpu
} // namespace imgproc
} // namespace gapi
} // namespace cv
#endif // OPENCV_GAPI_GPU_IMGPROC_API_HPP

18
modules/gapi/perf/common/gapi_core_perf_tests.hpp
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@ -34,13 +34,13 @@ namespace opencv_test
class MulPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
class MulDoublePerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
class MulCPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
class DivPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
class DivPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, MatType, int, cv::GCompileArgs>> {};
class DivCPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
class DivRCPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
class DivRCPerfTest : public TestPerfParams<tuple<compare_f,cv::Size, MatType, int, cv::GCompileArgs>> {};
class MaskPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class MeanPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class Polar2CartPerfTest : public TestPerfParams<tuple<cv::Size, cv::GCompileArgs>> {};
class Cart2PolarPerfTest : public TestPerfParams<tuple<cv::Size, cv::GCompileArgs>> {};
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>> {};
@ -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, cv::GCompileArgs>> {};
class AddWeightedPerfTest : public TestPerfParams<tuple<cv::Size, MatType, int, cv::GCompileArgs>> {};
class NormPerfTest : public TestPerfParams<tuple<NormTypes, 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 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>> {};
@ -70,7 +70,7 @@ namespace opencv_test
class ConcatVertVecPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class LUTPerfTest : public TestPerfParams<tuple<MatType, MatType, cv::Size, cv::GCompileArgs>> {};
class ConvertToPerfTest : public TestPerfParams<tuple<MatType, int, cv::Size, cv::GCompileArgs>> {};
class ResizePerfTest : public TestPerfParams<tuple<MatType, int, cv::Size, cv::Size, double, cv::GCompileArgs>> {};
class ResizeFxFyPerfTest : public TestPerfParams<tuple<MatType, int, cv::Size, double, double, double, cv::GCompileArgs>> {};
class ResizePerfTest : public TestPerfParams<tuple<compare_f, MatType, int, cv::Size, cv::Size, cv::GCompileArgs>> {};
class ResizeFxFyPerfTest : public TestPerfParams<tuple<compare_f, MatType, int, cv::Size, double, double, cv::GCompileArgs>> {};
}
#endif // OPENCV_GAPI_CORE_PERF_TESTS_HPP

129
modules/gapi/perf/common/gapi_core_perf_tests_inl.hpp
View File

@ -298,10 +298,11 @@ PERF_TEST_P_(MulCPerfTest, TestPerformance)
PERF_TEST_P_(DivPerfTest, TestPerformance)
{
Size sz = get<0>(GetParam());
MatType type = get<1>(GetParam());
int dtype = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
compare_f cmpF = get<0>(GetParam());
Size sz = get<1>(GetParam());
MatType type = get<2>(GetParam());
int dtype = get<3>(GetParam());
cv::GCompileArgs compile_args = get<4>(GetParam());
initMatsRandU(type, sz, dtype, false);
@ -322,7 +323,7 @@ PERF_TEST_P_(DivPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
SANITY_CHECK_NOTHING();
@ -367,10 +368,11 @@ PERF_TEST_P_(DivCPerfTest, TestPerformance)
PERF_TEST_P_(DivRCPerfTest, TestPerformance)
{
Size sz = get<0>(GetParam());
MatType type = get<1>(GetParam());
int dtype = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
compare_f cmpF = get<0>(GetParam());
Size sz = get<1>(GetParam());
MatType type = get<2>(GetParam());
int dtype = get<3>(GetParam());
cv::GCompileArgs compile_args = get<4>(GetParam());
initMatsRandU(type, sz, dtype, false);
@ -392,7 +394,7 @@ PERF_TEST_P_(DivRCPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
SANITY_CHECK_NOTHING();
@ -472,8 +474,9 @@ PERF_TEST_P_(MeanPerfTest, TestPerformance)
PERF_TEST_P_(Polar2CartPerfTest, TestPerformance)
{
Size sz_in = get<0>(GetParam());
cv::GCompileArgs compile_args = get<1>(GetParam());
compare_f cmpF = get<0>(GetParam());
Size sz_in = get<1>(GetParam());
cv::GCompileArgs compile_args = get<2>(GetParam());
initMatsRandU(CV_32FC1, sz_in, CV_32FC1, false);
cv::Mat out_mat2;
@ -494,10 +497,9 @@ PERF_TEST_P_(Polar2CartPerfTest, TestPerformance)
{
c.apply(gin(in_mat1, in_mat2), gout(out_mat_gapi, out_mat2), std::move(compile_args));
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(0, cv::countNonZero(out_mat_ocv2 != out_mat2));
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_TRUE(cmpF(out_mat_ocv2, out_mat2));
EXPECT_EQ(out_mat_gapi.size(), sz_in);
SANITY_CHECK_NOTHING();
@ -507,8 +509,9 @@ PERF_TEST_P_(Polar2CartPerfTest, TestPerformance)
PERF_TEST_P_(Cart2PolarPerfTest, TestPerformance)
{
Size sz_in = get<0>(GetParam());
cv::GCompileArgs compile_args = get<1>(GetParam());
compare_f cmpF = get<0>(GetParam());
Size sz_in = get<1>(GetParam());
cv::GCompileArgs compile_args = get<2>(GetParam());
initMatsRandU(CV_32FC1, sz_in, CV_32FC1, false);
cv::Mat out_mat2(sz_in, CV_32FC1);
@ -531,8 +534,8 @@ PERF_TEST_P_(Cart2PolarPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(0, cv::countNonZero(out_mat_ocv2 != out_mat2));
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_TRUE(cmpF(out_mat_ocv2, out_mat2));
EXPECT_EQ(out_mat_gapi.size(), sz_in);
SANITY_CHECK_NOTHING();
@ -892,7 +895,8 @@ PERF_TEST_P_(SumPerfTest, TestPerformance)
{
cv::Size sz_in = get<0>(GetParam());
MatType type = get<1>(GetParam());
cv::GCompileArgs compile_args = get<2>(GetParam());
double tolerance = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
initMatrixRandU(type, sz_in, false);
@ -916,7 +920,9 @@ PERF_TEST_P_(SumPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(out_sum[0], out_sum_ocv[0]);
{
EXPECT_LE(abs(out_sum[0] - out_sum_ocv[0]), tolerance);
}
SANITY_CHECK_NOTHING();
}
@ -928,7 +934,8 @@ PERF_TEST_P_(AddWeightedPerfTest, TestPerformance)
cv::Size sz_in = get<0>(GetParam());
MatType type = get<1>(GetParam());
int dtype = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
double tolerance = get<3>(GetParam());
cv::GCompileArgs compile_args = get<4>(GetParam());
auto& rng = cv::theRNG();
double alpha = rng.uniform(0.0, 1.0);
@ -953,8 +960,43 @@ PERF_TEST_P_(AddWeightedPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
{
// 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);
}
SANITY_CHECK_NOTHING();
}
@ -966,7 +1008,8 @@ PERF_TEST_P_(NormPerfTest, TestPerformance)
NormTypes opType = get<0>(GetParam());
cv::Size sz = get<1>(GetParam());
MatType type = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
double tolerance = get<3>(GetParam());
cv::GCompileArgs compile_args = get<4>(GetParam());
initMatrixRandU(type, sz, type, false);
@ -997,7 +1040,9 @@ PERF_TEST_P_(NormPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(out_norm[0], out_norm_ocv[0]);
{
EXPECT_LE(abs(out_norm[0] - out_norm_ocv[0]), tolerance);
}
SANITY_CHECK_NOTHING();
}
@ -1696,11 +1741,11 @@ PERF_TEST_P_(ConvertToPerfTest, TestPerformance)
PERF_TEST_P_(ResizePerfTest, TestPerformance)
{
MatType type = get<0>(GetParam());
int interp = get<1>(GetParam());
cv::Size sz_in = get<2>(GetParam());
cv::Size sz_out = get<3>(GetParam());
double tolerance = get<4>(GetParam());
compare_f cmpF = get<0>(GetParam());
MatType type = get<1>(GetParam());
int interp = get<2>(GetParam());
cv::Size sz_in = get<3>(GetParam());
cv::Size sz_out = get<4>(GetParam());
cv::GCompileArgs compile_args = get<5>(GetParam());
in_mat1 = cv::Mat(sz_in, type);
@ -1727,9 +1772,9 @@ PERF_TEST_P_(ResizePerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
cv::Mat absDiff;
cv::absdiff(out_mat_gapi, out_mat_ocv, absDiff);
EXPECT_EQ(0, cv::countNonZero(absDiff > tolerance));
{
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
}
SANITY_CHECK_NOTHING();
}
@ -1738,12 +1783,12 @@ PERF_TEST_P_(ResizePerfTest, TestPerformance)
PERF_TEST_P_(ResizeFxFyPerfTest, TestPerformance)
{
MatType type = get<0>(GetParam());
int interp = get<1>(GetParam());
cv::Size sz_in = get<2>(GetParam());
double fx = get<3>(GetParam());
double fy = get<4>(GetParam());
double tolerance = get<5>(GetParam());
compare_f cmpF = get<0>(GetParam());
MatType type = get<1>(GetParam());
int interp = get<2>(GetParam());
cv::Size sz_in = get<3>(GetParam());
double fx = get<4>(GetParam());
double fy = get<5>(GetParam());
cv::GCompileArgs compile_args = get<6>(GetParam());
in_mat1 = cv::Mat(sz_in, type);
@ -1771,9 +1816,9 @@ PERF_TEST_P_(ResizeFxFyPerfTest, TestPerformance)
}
// Comparison ////////////////////////////////////////////////////////////
cv::Mat absDiff;
cv::absdiff(out_mat_gapi, out_mat_ocv, absDiff);
EXPECT_EQ(0, cv::countNonZero(absDiff > tolerance));
{
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
}
SANITY_CHECK_NOTHING();
}

129
modules/gapi/perf/cpu/gapi_core_perf_tests_cpu.cpp
View File

@ -14,264 +14,273 @@
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(AddPerfTestCPU, AddPerfTest,
INSTANTIATE_TEST_CASE_P(AddPerfTestCPU, AddPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(AddCPerfTestCPU, AddCPerfTest,
INSTANTIATE_TEST_CASE_P(AddCPerfTestCPU, AddCPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(SubPerfTestCPU, SubPerfTest,
INSTANTIATE_TEST_CASE_P(SubPerfTestCPU, SubPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(SubCPerfTestCPU, SubCPerfTest,
INSTANTIATE_TEST_CASE_P(SubCPerfTestCPU, SubCPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(SubRCPerfTestCPU, SubRCPerfTest,
INSTANTIATE_TEST_CASE_P(SubRCPerfTestCPU, SubRCPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(MulPerfTestCPU, MulPerfTest,
INSTANTIATE_TEST_CASE_P(MulPerfTestCPU, MulPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(MulDoublePerfTestCPU, MulDoublePerfTest,
INSTANTIATE_TEST_CASE_P(MulDoublePerfTestCPU, MulDoublePerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(MulCPerfTestCPU, MulCPerfTest,
INSTANTIATE_TEST_CASE_P(MulCPerfTestCPU, MulCPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(DivPerfTestCPU, DivPerfTest,
INSTANTIATE_TEST_CASE_P(DivPerfTestCPU, DivPerfTest,
Combine(Values(AbsExact().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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(DivCPerfTestCPU, DivCPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(DivCPerfTestCPU, DivCPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
INSTANTIATE_TEST_CASE_P(DivRCPerfTestCPU, DivRCPerfTest,
Combine(Values(AbsExact().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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(DivRCPerfTestCPU, DivRCPerfTest,
Combine(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(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(MaskPerfTestCPU, MaskPerfTest,
INSTANTIATE_TEST_CASE_P(MaskPerfTestCPU, MaskPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(MeanPerfTestCPU, MeanPerfTest,
INSTANTIATE_TEST_CASE_P(MeanPerfTestCPU, MeanPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(Polar2CartPerfTestCPU, Polar2CartPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
INSTANTIATE_TEST_CASE_P(Polar2CartPerfTestCPU, Polar2CartPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(Cart2PolarPerfTestCPU, Cart2PolarPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
INSTANTIATE_TEST_CASE_P(Cart2PolarPerfTestCPU, Cart2PolarPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(CmpPerfTestCPU, CmpPerfTest,
INSTANTIATE_TEST_CASE_P(CmpPerfTestCPU, CmpPerfTest,
Combine(Values(CMP_EQ, CMP_GE, CMP_NE, CMP_GT, CMP_LT, CMP_LE),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(CmpWithScalarPerfTestCPU, CmpWithScalarPerfTest,
INSTANTIATE_TEST_CASE_P(CmpWithScalarPerfTestCPU, CmpWithScalarPerfTest,
Combine(Values(CMP_EQ, CMP_GE, CMP_NE, CMP_GT, CMP_LT, CMP_LE),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(BitwisePerfTestCPU, BitwisePerfTest,
INSTANTIATE_TEST_CASE_P(BitwisePerfTestCPU, BitwisePerfTest,
Combine(Values(AND, OR, XOR),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(BitwiseNotPerfTestCPU, BitwiseNotPerfTest,
INSTANTIATE_TEST_CASE_P(BitwiseNotPerfTestCPU, BitwiseNotPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(SelectPerfTestCPU, SelectPerfTest,
INSTANTIATE_TEST_CASE_P(SelectPerfTestCPU, SelectPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(MinPerfTestCPU, MinPerfTest,
INSTANTIATE_TEST_CASE_P(MinPerfTestCPU, MinPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(MaxPerfTestCPU, MaxPerfTest,
INSTANTIATE_TEST_CASE_P(MaxPerfTestCPU, MaxPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffPerfTestCPU, AbsDiffPerfTest,
INSTANTIATE_TEST_CASE_P(AbsDiffPerfTestCPU, AbsDiffPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestCPU, AbsDiffCPerfTest,
INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestCPU, AbsDiffCPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(SumPerfTestCPU, SumPerfTest,
INSTANTIATE_TEST_CASE_P(SumPerfTestCPU, SumPerfTest,
Combine(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(AddWeightedPerfTestCPU, AddWeightedPerfTest,
// 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),
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,
INSTANTIATE_TEST_CASE_P(NormPerfTestCPU, NormPerfTest,
Combine(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,
INSTANTIATE_TEST_CASE_P(IntegralPerfTestCPU, IntegralPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ThresholdPerfTestCPU, ThresholdPerfTest,
INSTANTIATE_TEST_CASE_P(ThresholdPerfTestCPU, ThresholdPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ThresholdPerfTestCPU, ThresholdOTPerfTest,
INSTANTIATE_TEST_CASE_P(ThresholdPerfTestCPU, ThresholdOTPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1),
Values(cv::THRESH_OTSU, cv::THRESH_TRIANGLE),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(InRangePerfTestCPU, InRangePerfTest,
INSTANTIATE_TEST_CASE_P(InRangePerfTestCPU, InRangePerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(Split3PerfTestCPU, Split3PerfTest,
INSTANTIATE_TEST_CASE_P(Split3PerfTestCPU, Split3PerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(Split4PerfTestCPU, Split4PerfTest,
INSTANTIATE_TEST_CASE_P(Split4PerfTestCPU, Split4PerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(Merge3PerfTestCPU, Merge3PerfTest,
INSTANTIATE_TEST_CASE_P(Merge3PerfTestCPU, Merge3PerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(Merge4PerfTestCPU, Merge4PerfTest,
INSTANTIATE_TEST_CASE_P(Merge4PerfTestCPU, Merge4PerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(RemapPerfTestCPU, RemapPerfTest,
INSTANTIATE_TEST_CASE_P(RemapPerfTestCPU, RemapPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(FlipPerfTestCPU, FlipPerfTest,
INSTANTIATE_TEST_CASE_P(FlipPerfTestCPU, FlipPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(0, 1, -1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(CropPerfTestCPU, CropPerfTest,
INSTANTIATE_TEST_CASE_P(CropPerfTestCPU, CropPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Rect(10, 8, 20, 35), cv::Rect(4, 10, 37, 50)),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ConcatHorPerfTestCPU, ConcatHorPerfTest,
INSTANTIATE_TEST_CASE_P(ConcatHorPerfTestCPU, ConcatHorPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ConcatHorVecPerfTestCPU, ConcatHorVecPerfTest,
INSTANTIATE_TEST_CASE_P(ConcatHorVecPerfTestCPU, ConcatHorVecPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ConcatVertPerfTestCPU, ConcatVertPerfTest,
INSTANTIATE_TEST_CASE_P(ConcatVertPerfTestCPU, ConcatVertPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ConcatVertVecPerfTestCPU, ConcatVertVecPerfTest,
INSTANTIATE_TEST_CASE_P(ConcatVertVecPerfTestCPU, ConcatVertVecPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(LUTPerfTestCPU, LUTPerfTest,
INSTANTIATE_TEST_CASE_P(LUTPerfTestCPU, LUTPerfTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(CV_8UC1),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(LUTPerfTestCustomCPU, LUTPerfTest,
INSTANTIATE_TEST_CASE_P(LUTPerfTestCustomCPU, LUTPerfTest,
Combine(Values(CV_8UC3),
Values(CV_8UC3),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ConvertToPerfTestCPU, ConvertToPerfTest,
INSTANTIATE_TEST_CASE_P(ConvertToPerfTestCPU, ConvertToPerfTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_32FC1),
Values(CV_8U, CV_16U, CV_16S, CV_32F),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ResizePerfTestCPU, ResizePerfTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
INSTANTIATE_TEST_CASE_P(ResizePerfTestCPU, ResizePerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(cv::Size(64, 64),
cv::Size(30, 30)),
Values(0.0),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ResizeFxFyPerfTestCPU, ResizeFxFyPerfTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
INSTANTIATE_TEST_CASE_P(ResizeFxFyPerfTestCPU, ResizeFxFyPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(0.5, 0.1),
Values(0.5, 0.1),
Values(0.0),
Values(cv::compile_args(CORE_CPU))));
}

72
modules/gapi/perf/cpu/gapi_imgproc_perf_tests_cpu.cpp
View File

@ -15,29 +15,7 @@
namespace opencv_test
{
class AbsExact : public Wrappable<AbsExact>
{
public:
AbsExact() {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const { return cv::countNonZero(in1 != in2) == 0; }
private:
};
class AbsTolerance : public Wrappable<AbsTolerance>
{
public:
AbsTolerance(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
cv::Mat absDiff; cv::absdiff(in1, in2, absDiff);
return cv::countNonZero(absDiff > _tol) == 0;
}
private:
double _tol;
};
INSTANTIATE_TEST_CASE_P(SepFilterPerfTestCPU_8U, SepFilterPerfTest,
INSTANTIATE_TEST_CASE_P(SepFilterPerfTestCPU_8U, SepFilterPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3),
Values(3),
@ -45,7 +23,7 @@ namespace opencv_test
Values(-1, CV_16S, CV_32F),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(SepFilterPerfTestCPU_other, SepFilterPerfTest,
INSTANTIATE_TEST_CASE_P(SepFilterPerfTestCPU_other, SepFilterPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_16UC1, CV_16SC1, CV_32FC1),
Values(3),
@ -55,7 +33,7 @@ namespace opencv_test
INSTANTIATE_TEST_CASE_P(Filter2DPerfTestCPU, Filter2DPerfTest,
INSTANTIATE_TEST_CASE_P(Filter2DPerfTestCPU, Filter2DPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 4, 5, 7),
@ -64,8 +42,8 @@ namespace opencv_test
Values(-1, CV_32F),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(BoxFilterPerfTestCPU, BoxFilterPerfTest,
Combine(Values(AbsTolerance(1e-6).to_compare_f()),
INSTANTIATE_TEST_CASE_P(BoxFilterPerfTestCPU, BoxFilterPerfTest,
Combine(Values(AbsTolerance(0).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
@ -73,29 +51,29 @@ namespace opencv_test
Values(-1, CV_32F),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(BlurPerfTestCPU, BlurPerfTest,
Combine(Values(AbsTolerance(1e-6).to_compare_f()),
INSTANTIATE_TEST_CASE_P(BlurPerfTestCPU, BlurPerfTest,
Combine(Values(AbsTolerance(0).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(cv::BORDER_DEFAULT),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(GaussianBlurPerfTestCPU, GaussianBlurPerfTest,
INSTANTIATE_TEST_CASE_P(GaussianBlurPerfTestCPU, GaussianBlurPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(MedianBlurPerfTestCPU, MedianBlurPerfTest,
INSTANTIATE_TEST_CASE_P(MedianBlurPerfTestCPU, MedianBlurPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(ErodePerfTestCPU, ErodePerfTest,
INSTANTIATE_TEST_CASE_P(ErodePerfTestCPU, ErodePerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
@ -105,14 +83,14 @@ namespace opencv_test
cv::MorphShapes::MORPH_ELLIPSE),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(Erode3x3PerfTestCPU, Erode3x3PerfTest,
INSTANTIATE_TEST_CASE_P(Erode3x3PerfTestCPU, Erode3x3PerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(szVGA, sz720p, sz1080p),
Values(1, 2, 4),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(DilatePerfTestCPU, DilatePerfTest,
INSTANTIATE_TEST_CASE_P(DilatePerfTestCPU, DilatePerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
@ -122,14 +100,14 @@ namespace opencv_test
cv::MorphShapes::MORPH_ELLIPSE),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(Dilate3x3PerfTestCPU, Dilate3x3PerfTest,
INSTANTIATE_TEST_CASE_P(Dilate3x3PerfTestCPU, Dilate3x3PerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(szVGA, sz720p, sz1080p),
Values(1, 2, 4),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(SobelPerfTestCPU, SobelPerfTest,
INSTANTIATE_TEST_CASE_P(SobelPerfTestCPU, SobelPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
@ -139,7 +117,7 @@ namespace opencv_test
Values(1, 2),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(CannyPerfTestCPU, CannyPerfTest,
INSTANTIATE_TEST_CASE_P(CannyPerfTestCPU, CannyPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3),
Values(szVGA, sz720p, sz1080p),
@ -149,52 +127,52 @@ namespace opencv_test
Values(true, false),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(EqHistPerfTestCPU, EqHistPerfTest,
INSTANTIATE_TEST_CASE_P(EqHistPerfTestCPU, EqHistPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(RGB2GrayPerfTestCPU, RGB2GrayPerfTest,
INSTANTIATE_TEST_CASE_P(RGB2GrayPerfTestCPU, RGB2GrayPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(BGR2GrayPerfTestCPU, BGR2GrayPerfTest,
INSTANTIATE_TEST_CASE_P(BGR2GrayPerfTestCPU, BGR2GrayPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(RGB2YUVPerfTestCPU, RGB2YUVPerfTest,
INSTANTIATE_TEST_CASE_P(RGB2YUVPerfTestCPU, RGB2YUVPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(YUV2RGBPerfTestCPU, YUV2RGBPerfTest,
INSTANTIATE_TEST_CASE_P(YUV2RGBPerfTestCPU, YUV2RGBPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(RGB2LabPerfTestCPU, RGB2LabPerfTest,
INSTANTIATE_TEST_CASE_P(RGB2LabPerfTestCPU, RGB2LabPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(BGR2LUVPerfTestCPU, BGR2LUVPerfTest,
INSTANTIATE_TEST_CASE_P(BGR2LUVPerfTestCPU, BGR2LUVPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(LUV2BGRPerfTestCPU, LUV2BGRPerfTest,
INSTANTIATE_TEST_CASE_P(LUV2BGRPerfTestCPU, LUV2BGRPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(BGR2YUVPerfTestCPU, BGR2YUVPerfTest,
INSTANTIATE_TEST_CASE_P(BGR2YUVPerfTestCPU, BGR2YUVPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(YUV2BGRPerfTestCPU, YUV2BGRPerfTest,
INSTANTIATE_TEST_CASE_P(YUV2BGRPerfTestCPU, YUV2BGRPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_CPU))));

291
modules/gapi/perf/gpu/gapi_core_perf_tests_gpu.cpp Normal file
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@ -0,0 +1,291 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "../perf_precomp.hpp"
#include "../common/gapi_core_perf_tests.hpp"
#include "opencv2/gapi/gpu/core.hpp"
#define CORE_GPU cv::gapi::core::gpu::kernels()
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(AddPerfTestGPU, AddPerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(AddCPerfTestGPU, AddCPerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(SubPerfTestGPU, SubPerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(SubCPerfTestGPU, SubCPerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(SubRCPerfTestGPU, SubRCPerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MulPerfTestGPU, MulPerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MulDoublePerfTestGPU, MulDoublePerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MulCPerfTestGPU, MulCPerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(DivPerfTestGPU, DivPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-5, 1e-2).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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(DivCPerfTestGPU, DivCPerfTest,
Combine(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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(DivRCPerfTestGPU, DivRCPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-5, 1e-2).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(cv::compile_args(CORE_GPU))));
//TODO: mask test doesn't work
#if 0
INSTANTIATE_TEST_CASE_P(MaskPerfTestGPU, MaskPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::compile_args(CORE_GPU))));
#endif
INSTANTIATE_TEST_CASE_P(MeanPerfTestGPU, MeanPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Polar2CartPerfTestGPU, Polar2CartPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-5, 1e-2).to_compare_f()),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Cart2PolarPerfTestGPU, Cart2PolarPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-2, 1e-2).to_compare_f()),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(CmpPerfTestGPU, CmpPerfTest,
Combine(Values(CMP_EQ, CMP_GE, CMP_NE, CMP_GT, CMP_LT, CMP_LE),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(CmpWithScalarPerfTestGPU, CmpWithScalarPerfTest,
Combine(Values(CMP_EQ, CMP_GE, CMP_NE, CMP_GT, CMP_LT, CMP_LE),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(BitwisePerfTestGPU, BitwisePerfTest,
Combine(Values(AND, OR, XOR),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(BitwiseNotPerfTestGPU, BitwiseNotPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(SelectPerfTestGPU, SelectPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MinPerfTestGPU, MinPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MaxPerfTestGPU, MaxPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffPerfTestGPU, AbsDiffPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestGPU, AbsDiffCPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(SumPerfTestGPU, SumPerfTest,
Combine(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 ),
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),
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,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ThresholdPerfTestGPU, ThresholdPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ThresholdPerfTestGPU, ThresholdOTPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1 ),
Values(cv::THRESH_OTSU, cv::THRESH_TRIANGLE),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(InRangePerfTestGPU, InRangePerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Split3PerfTestGPU, Split3PerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Split4PerfTestGPU, Split4PerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Merge3PerfTestGPU, Merge3PerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Merge4PerfTestGPU, Merge4PerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(RemapPerfTestGPU, RemapPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(FlipPerfTestGPU, FlipPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(0,1,-1),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(CropPerfTestGPU, CropPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Rect(10, 8, 20, 35), cv::Rect(4, 10, 37, 50)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ConcatHorPerfTestGPU, ConcatHorPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ConcatVertPerfTestGPU, ConcatVertPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
//TODO: fix this backend to allow ConcatVertVec ConcatHorVec
#if 0
INSTANTIATE_TEST_CASE_P(ConcatHorVecPerfTestGPU, ConcatHorVecPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ConcatVertVecPerfTestGPU, ConcatVertVecPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU))));
#endif
INSTANTIATE_TEST_CASE_P(LUTPerfTestGPU, LUTPerfTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(CV_8UC1),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(LUTPerfTestCustomGPU, LUTPerfTest,
Combine(Values(CV_8UC3),
Values(CV_8UC3),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ConvertToPerfTestGPU, ConvertToPerfTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_32FC1),
Values(CV_8U, CV_16U, CV_16S, CV_32F),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ResizePerfTestGPU, ResizePerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-3, 1e-0).to_compare_f()), //TODO: too relaxed?
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(cv::Size(64,64),
cv::Size(30,30)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ResizeFxFyPerfTestGPU, ResizeFxFyPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-1, 1e-0).to_compare_f()), //TODO: too relaxed?
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values(0.5, 0.1),
Values(0.5, 0.1),
Values(cv::compile_args(CORE_GPU))));
}

180
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@ -0,0 +1,180 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "../perf_precomp.hpp"
#include "../common/gapi_imgproc_perf_tests.hpp"
#include "opencv2/gapi/gpu/imgproc.hpp"
#define IMGPROC_GPU cv::gapi::imgproc::gpu::kernels()
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(SepFilterPerfTestGPU_8U, SepFilterPerfTest,
Combine(Values(AbsToleranceSepFilter(1e-4f).to_compare_f()),
Values(CV_8UC1, CV_8UC3),
Values(3),
Values(szVGA, sz720p, sz1080p),
Values(-1, CV_16S, CV_32F),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(SepFilterPerfTestGPU_other, SepFilterPerfTest,
Combine(Values(AbsToleranceSepFilter(1e-4f).to_compare_f()),
Values(CV_16UC1, CV_16SC1, CV_32FC1),
Values(3),
Values(szVGA, sz720p, sz1080p),
Values(-1, CV_32F),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(Filter2DPerfTestGPU, Filter2DPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-5, 1e-3).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 4, 5, 7),
Values(szVGA, sz720p, sz1080p),
Values(cv::BORDER_DEFAULT),
Values(-1, CV_32F),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BoxFilterPerfTestGPU, BoxFilterPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-5, 1e-3).to_compare_f()),
Values(/*CV_8UC1,*/ CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3,5),
Values(szVGA, sz720p, sz1080p),
Values(cv::BORDER_DEFAULT),
Values(-1, CV_32F),
Values(cv::compile_args(IMGPROC_GPU)))); //TODO: 8UC1 doesn't work
INSTANTIATE_TEST_CASE_P(BlurPerfTestGPU, BlurPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-4, 1e-2).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(cv::BORDER_DEFAULT),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(GaussianBlurPerfTestGPU, GaussianBlurPerfTest,
Combine(Values(AbsToleranceGaussianBlur_Float_Int(1e-5, 0.05).to_compare_f()), //TODO: too relaxed?
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(MedianBlurPerfTestGPU, MedianBlurPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(ErodePerfTestGPU, ErodePerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(cv::MorphShapes::MORPH_RECT,
cv::MorphShapes::MORPH_CROSS,
cv::MorphShapes::MORPH_ELLIPSE),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(Erode3x3PerfTestGPU, Erode3x3PerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(szVGA, sz720p, sz1080p),
Values(1,2,4),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(DilatePerfTestGPU, DilatePerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(cv::MorphShapes::MORPH_RECT,
cv::MorphShapes::MORPH_CROSS,
cv::MorphShapes::MORPH_ELLIPSE),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(Dilate3x3PerfTestGPU, Dilate3x3PerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(szVGA, sz720p, sz1080p),
Values(1,2,4),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(SobelPerfTestGPU, SobelPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-4, 1e-4).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1/*, CV_32FC1*/), //TODO: CV_32FC1 fails accuracy
Values(3, 5),
Values(szVGA, sz720p, sz1080p),
Values(-1, CV_32F),
Values(0, 1),
Values(1, 2),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(CannyPerfTestGPU, CannyPerfTest,
Combine(Values(AbsTolerance_Float_Int(1e-4, 1e-2).to_compare_f()),
Values(CV_8UC1, CV_8UC3),
Values(szVGA, sz720p, sz1080p),
Values(3.0, 120.0),
Values(125.0, 240.0),
Values(3, 5),
Values(true, false),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(EqHistPerfTestGPU, EqHistPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(RGB2GrayPerfTestGPU, RGB2GrayPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BGR2GrayPerfTestGPU, BGR2GrayPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(RGB2YUVPerfTestGPU, RGB2YUVPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(YUV2RGBPerfTestGPU, YUV2RGBPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(RGB2LabPerfTestGPU, RGB2LabPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BGR2LUVPerfTestGPU, BGR2LUVPerfTest,
Combine(Values(ToleranceTriple(0.25 * 3, 0.01 * 3, 0.0001 * 3).to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(LUV2BGRPerfTestGPU, LUV2BGRPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BGR2YUVPerfTestGPU, BGR2YUVPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(YUV2BGRPerfTestGPU, YUV2BGRPerfTest,
Combine(Values(AbsExact().to_compare_f()),
Values(szVGA, sz720p, sz1080p),
Values(cv::compile_args(IMGPROC_GPU))));
}

1
modules/gapi/perf/perf_precomp.hpp
View File

@ -16,6 +16,7 @@
#include "opencv2/gapi/imgproc.hpp"
#include "opencv2/gapi/core.hpp"
#include "opencv2/gapi/cpu/gcpukernel.hpp"
#include "opencv2/gapi/gpu/ggpukernel.hpp"
#include "opencv2/gapi/operators.hpp"
#endif

78
modules/gapi/src/api/gbackend.cpp
View File

@ -83,18 +83,39 @@ namespace magazine {
// FIXME implement the below functions with visit()?
void bindInArg(Mag& mag, const RcDesc &rc, const GRunArg &arg)
void bindInArg(Mag& mag, const RcDesc &rc, const GRunArg &arg, bool is_umat)
{
switch (rc.shape)
{
case GShape::GMAT:
{
auto& mag_mat = mag.template slot<cv::gapi::own::Mat>()[rc.id];
switch (arg.index())
{
case GRunArg::index_of<cv::gapi::own::Mat>() : mag_mat = util::get<cv::gapi::own::Mat>(arg); break;
case GRunArg::index_of<cv::gapi::own::Mat>() :
if (is_umat)
{
auto& mag_umat = mag.template slot<cv::UMat>()[rc.id];
mag_umat = to_ocv(util::get<cv::gapi::own::Mat>(arg)).getUMat(ACCESS_READ);
}
else
{
auto& mag_mat = mag.template slot<cv::gapi::own::Mat>()[rc.id];
mag_mat = util::get<cv::gapi::own::Mat>(arg);
}
break;
#if !defined(GAPI_STANDALONE)
case GRunArg::index_of<cv::Mat>() : mag_mat = to_own(util::get<cv::Mat>(arg)); break;
case GRunArg::index_of<cv::Mat>() :
if (is_umat)
{
auto& mag_umat = mag.template slot<cv::UMat>()[rc.id];
mag_umat = (util::get<cv::UMat>(arg));
}
else
{
auto& mag_mat = mag.template slot<cv::gapi::own::Mat>()[rc.id];
mag_mat = to_own(util::get<cv::Mat>(arg));
}
break;
#endif // !defined(GAPI_STANDALONE)
default: util::throw_error(std::logic_error("content type of the runtime argument does not match to resource description ?"));
}
@ -125,18 +146,39 @@ void bindInArg(Mag& mag, const RcDesc &rc, const GRunArg &arg)
}
}
void bindOutArg(Mag& mag, const RcDesc &rc, const GRunArgP &arg)
void bindOutArg(Mag& mag, const RcDesc &rc, const GRunArgP &arg, bool is_umat)
{
switch (rc.shape)
{
case GShape::GMAT:
{
auto& mag_mat = mag.template slot<cv::gapi::own::Mat>()[rc.id];
switch (arg.index())
{
case GRunArgP::index_of<cv::gapi::own::Mat*>() : mag_mat = * util::get<cv::gapi::own::Mat*>(arg); break;
case GRunArgP::index_of<cv::gapi::own::Mat*>() :
if (is_umat)
{
auto& mag_umat = mag.template slot<cv::UMat>()[rc.id];
mag_umat = to_ocv(*(util::get<cv::gapi::own::Mat*>(arg))).getUMat(ACCESS_RW);
}
else
{
auto& mag_mat = mag.template slot<cv::gapi::own::Mat>()[rc.id];
mag_mat = *util::get<cv::gapi::own::Mat*>(arg);
}
break;
#if !defined(GAPI_STANDALONE)
case GRunArgP::index_of<cv::Mat*>() : mag_mat = to_own(* util::get<cv::Mat*>(arg)); break;
case GRunArgP::index_of<cv::Mat*>() :
if (is_umat)
{
auto& mag_umat = mag.template slot<cv::UMat>()[rc.id];
mag_umat = (*util::get<cv::UMat*>(arg));
}
else
{
auto& mag_mat = mag.template slot<cv::gapi::own::Mat>()[rc.id];
mag_mat = to_own(*util::get<cv::Mat*>(arg));
}
break;
#endif // !defined(GAPI_STANDALONE)
default: util::throw_error(std::logic_error("content type of the runtime argument does not match to resource description ?"));
}
@ -208,11 +250,15 @@ cv::GRunArg getArg(const Mag& mag, const RcDesc &ref)
}
}
cv::GRunArgP getObjPtr(Mag& mag, const RcDesc &rc)
cv::GRunArgP getObjPtr(Mag& mag, const RcDesc &rc, bool is_umat)
{
switch (rc.shape)
{
case GShape::GMAT: return GRunArgP(&mag.template slot<cv::gapi::own::Mat>() [rc.id]);
case GShape::GMAT:
if (is_umat)
return GRunArgP(&mag.template slot<cv::UMat>()[rc.id]);
else
return GRunArgP(&mag.template slot<cv::gapi::own::Mat>()[rc.id]);
case GShape::GSCALAR: return GRunArgP(&mag.template slot<cv::gapi::own::Scalar>()[rc.id]);
// Note: .at() is intentional for GArray as object MUST be already there
// (and constructer by either bindIn/Out or resetInternal)
@ -230,7 +276,7 @@ cv::GRunArgP getObjPtr(Mag& mag, const RcDesc &rc)
}
}
void writeBack(const Mag& mag, const RcDesc &rc, GRunArgP &g_arg)
void writeBack(const Mag& mag, const RcDesc &rc, GRunArgP &g_arg, bool is_umat)
{
switch (rc.shape)
{
@ -248,12 +294,20 @@ void writeBack(const Mag& mag, const RcDesc &rc, GRunArgP &g_arg)
case GRunArgP::index_of<cv::gapi::own::Mat*>() : out_arg_data = util::get<cv::gapi::own::Mat*>(g_arg)->data; break;
#if !defined(GAPI_STANDALONE)
case GRunArgP::index_of<cv::Mat*>() : out_arg_data = util::get<cv::Mat*>(g_arg)->data; break;
case GRunArgP::index_of<cv::UMat*>() : out_arg_data = (util::get<cv::UMat*>(g_arg))->getMat(ACCESS_RW).data; break;
#endif // !defined(GAPI_STANDALONE)
default: util::throw_error(std::logic_error("content type of the runtime argument does not match to resource description ?"));
}
if (is_umat)
{
auto& in_mag = mag.template slot<cv::UMat>().at(rc.id);
GAPI_Assert((out_arg_data == (in_mag.getMat(ACCESS_RW).data)) && " data for output parameters was reallocated ?");
}
else
{
auto& in_mag = mag.template slot<cv::gapi::own::Mat>().at(rc.id);
GAPI_Assert((out_arg_data == in_mag.data) && " data for output parameters was reallocated ?");
}
break;
}

4
modules/gapi/src/api/gmat.cpp
View File

@ -38,6 +38,10 @@ cv::GMatDesc cv::descr_of(const cv::Mat &mat)
{
return GMatDesc{mat.depth(), mat.channels(), {mat.cols, mat.rows}};
}
cv::GMatDesc cv::descr_of(const cv::UMat &mat)
{
return GMatDesc{ mat.depth(), mat.channels(),{ mat.cols, mat.rows } };
}
#endif
cv::GMatDesc cv::gapi::own::descr_of(const cv::gapi::own::Mat &mat)

1
modules/gapi/src/api/gproto.cpp
View File

@ -122,6 +122,7 @@ cv::GMetaArg cv::descr_of(const cv::GRunArgP &argp)
{
#if !defined(GAPI_STANDALONE)
case GRunArgP::index_of<cv::Mat*>(): return GMetaArg(descr_of(*util::get<cv::Mat*>(argp)));
case GRunArgP::index_of<cv::UMat*>(): return GMetaArg(descr_of(*util::get<cv::UMat*>(argp)));
case GRunArgP::index_of<cv::Scalar*>(): return GMetaArg(descr_of(*util::get<cv::Scalar*>(argp)));
#endif // !defined(GAPI_STANDALONE)
case GRunArgP::index_of<cv::gapi::own::Mat*>(): return GMetaArg(descr_of(*util::get<cv::gapi::own::Mat*>(argp)));

13
modules/gapi/src/backends/common/gbackend.hpp
View File

@ -45,18 +45,21 @@ namespace magazine {
};
} // namespace magazine
#if !defined(GAPI_STANDALONE)
using Mag = magazine::Class<cv::gapi::own::Mat, cv::UMat, cv::gapi::own::Scalar, cv::detail::VectorRef>;
#else
using Mag = magazine::Class<cv::gapi::own::Mat, cv::gapi::own::Scalar, cv::detail::VectorRef>;
#endif
namespace magazine
{
void bindInArg (Mag& mag, const RcDesc &rc, const GRunArg &arg);
void bindOutArg(Mag& mag, const RcDesc &rc, const GRunArgP &arg);
void bindInArg (Mag& mag, const RcDesc &rc, const GRunArg &arg, bool is_umat = false);
void bindOutArg(Mag& mag, const RcDesc &rc, const GRunArgP &arg, bool is_umat = false);
void resetInternalData(Mag& mag, const Data &d);
cv::GRunArg getArg (const Mag& mag, const RcDesc &ref);
cv::GRunArgP getObjPtr ( Mag& mag, const RcDesc &rc);
void writeBack (const Mag& mag, const RcDesc &rc, GRunArgP &g_arg);
cv::GRunArgP getObjPtr ( Mag& mag, const RcDesc &rc, bool is_umat = false);
void writeBack (const Mag& mag, const RcDesc &rc, GRunArgP &g_arg, bool is_umat = false);
} // namespace magazine
namespace detail

226
modules/gapi/src/backends/gpu/ggpubackend.cpp Normal file
View File

@ -0,0 +1,226 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "precomp.hpp"
#include <functional>
#include <unordered_set>
#include <ade/util/algorithm.hpp>
#include <ade/util/range.hpp>
#include <ade/util/zip_range.hpp>
#include <ade/util/chain_range.hpp>
#include <ade/typed_graph.hpp>
#include "opencv2/gapi/gcommon.hpp"
#include "opencv2/gapi/util/any.hpp"
#include "opencv2/gapi/gtype_traits.hpp"
#include "compiler/gobjref.hpp"
#include "compiler/gmodel.hpp"
#include "backends/gpu/ggpubackend.hpp"
#include "backends/gpu/ggpuimgproc.hpp"
#include "backends/gpu/ggpucore.hpp"
#include "api/gbackend_priv.hpp" // FIXME: Make it part of Backend SDK!
// FIXME: Is there a way to take a typed graph (our GModel),
// and create a new typed graph _ATOP_ of that (by extending with a couple of
// new types?).
// Alternatively, is there a way to compose types graphs?
//
// If not, we need to introduce that!
using GGPUModel = ade::TypedGraph
< cv::gimpl::Unit
, cv::gimpl::Protocol
>;
// FIXME: Same issue with Typed and ConstTyped
using GConstGGPUModel = ade::ConstTypedGraph
< cv::gimpl::Unit
, cv::gimpl::Protocol
>;
namespace
{
class GGPUBackendImpl final: public cv::gapi::GBackend::Priv
{
virtual void unpackKernel(ade::Graph &graph,
const ade::NodeHandle &op_node,
const cv::GKernelImpl &impl) override
{
GGPUModel gm(graph);
auto gpu_impl = cv::util::any_cast<cv::GGPUKernel>(impl.opaque);
gm.metadata(op_node).set(cv::gimpl::Unit{gpu_impl});
}
virtual EPtr compile(const ade::Graph &graph,
const cv::GCompileArgs &,
const std::vector<ade::NodeHandle> &nodes) const override
{
return EPtr{new cv::gimpl::GGPUExecutable(graph, nodes)};
}
};
}
cv::gapi::GBackend cv::gapi::gpu::backend()
{
static cv::gapi::GBackend this_backend(std::make_shared<GGPUBackendImpl>());
return this_backend;
}
// GGPUExcecutable implementation //////////////////////////////////////////////
cv::gimpl::GGPUExecutable::GGPUExecutable(const ade::Graph &g,
const std::vector<ade::NodeHandle> &nodes)
: m_g(g), m_gm(m_g)
{
// Convert list of operations (which is topologically sorted already)
// into an execution script.
for (auto &nh : nodes)
{
switch (m_gm.metadata(nh).get<NodeType>().t)
{
case NodeType::OP: m_script.push_back({nh, GModel::collectOutputMeta(m_gm, nh)}); break;
case NodeType::DATA:
{
m_dataNodes.push_back(nh);
const auto &desc = m_gm.metadata(nh).get<Data>();
if (desc.storage == Data::Storage::CONST)
{
auto rc = RcDesc{desc.rc, desc.shape, desc.ctor};
magazine::bindInArg(m_res, rc, m_gm.metadata(nh).get<ConstValue>().arg);
}
//preallocate internal Mats in advance
if (desc.storage == Data::Storage::INTERNAL && desc.shape == GShape::GMAT)
{
const auto mat_desc = util::get<cv::GMatDesc>(desc.meta);
const auto type = CV_MAKETYPE(mat_desc.depth, mat_desc.chan);
m_res.slot<cv::UMat>()[desc.rc].create(mat_desc.size.width, mat_desc.size.height, type);
}
break;
}
default: util::throw_error(std::logic_error("Unsupported NodeType type"));
}
}
}
// FIXME: Document what it does
cv::GArg cv::gimpl::GGPUExecutable::packArg(const GArg &arg)
{
// No API placeholders allowed at this point
// FIXME: this check has to be done somewhere in compilation stage.
GAPI_Assert( arg.kind != cv::detail::ArgKind::GMAT
&& arg.kind != cv::detail::ArgKind::GSCALAR
&& arg.kind != cv::detail::ArgKind::GARRAY);
if (arg.kind != cv::detail::ArgKind::GOBJREF)
{
// All other cases - pass as-is, with no transformations to GArg contents.
return arg;
}
GAPI_Assert(arg.kind == cv::detail::ArgKind::GOBJREF);
// Wrap associated CPU object (either host or an internal one)
// FIXME: object can be moved out!!! GExecutor faced that.
const cv::gimpl::RcDesc &ref = arg.get<cv::gimpl::RcDesc>();
switch (ref.shape)
{
case GShape::GMAT: return GArg(m_res.slot<cv::UMat>()[ref.id]);
case GShape::GSCALAR: return GArg(m_res.slot<cv::gapi::own::Scalar>()[ref.id]);
// Note: .at() is intentional for GArray as object MUST be already there
// (and constructed by either bindIn/Out or resetInternal)
case GShape::GARRAY: return GArg(m_res.slot<cv::detail::VectorRef>().at(ref.id));
default:
util::throw_error(std::logic_error("Unsupported GShape type"));
break;
}
}
void cv::gimpl::GGPUExecutable::run(std::vector<InObj> &&input_objs,
std::vector<OutObj> &&output_objs)
{
// Update resources with run-time information - what this Island
// has received from user (or from another Island, or mix...)
// FIXME: Check input/output objects against GIsland protocol
for (auto& it : input_objs) magazine::bindInArg (m_res, it.first, it.second, true);
for (auto& it : output_objs) magazine::bindOutArg(m_res, it.first, it.second, true);
// Initialize (reset) internal data nodes with user structures
// before processing a frame (no need to do it for external data structures)
GModel::ConstGraph gm(m_g);
for (auto nh : m_dataNodes)
{
const auto &desc = gm.metadata(nh).get<Data>();
if ( desc.storage == Data::Storage::INTERNAL
&& !util::holds_alternative<util::monostate>(desc.ctor))
{
// FIXME: Note that compile-time constant data objects (like
// a value-initialized GArray<T>) also satisfy this condition
// and should be excluded, but now we just don't support it
magazine::resetInternalData(m_res, desc);
}
}
// OpenCV backend execution is not a rocket science at all.
// Simply invoke our kernels in the proper order.
GConstGGPUModel gcm(m_g);
for (auto &op_info : m_script)
{
const auto &op = m_gm.metadata(op_info.nh).get<Op>();
// Obtain our real execution unit
// TODO: Should kernels be copyable?
GGPUKernel k = gcm.metadata(op_info.nh).get<Unit>().k;
// Initialize kernel's execution context:
// - Input parameters
GGPUContext context;
context.m_args.reserve(op.args.size());
using namespace std::placeholders;
ade::util::transform(op.args,
std::back_inserter(context.m_args),
std::bind(&GGPUExecutable::packArg, this, _1));
// - Output parameters.
// FIXME: pre-allocate internal Mats, etc, according to the known meta
for (const auto &out_it : ade::util::indexed(op.outs))
{
// FIXME: Can the same GArg type resolution mechanism be reused here?
const auto out_port = ade::util::index(out_it);
const auto out_desc = ade::util::value(out_it);
context.m_results[out_port] = magazine::getObjPtr(m_res, out_desc, true);
}
// Now trigger the executable unit
k.apply(context);
for (const auto &out_it : ade::util::indexed(op_info.expected_out_metas))
{
const auto out_index = ade::util::index(out_it);
const auto expected_meta = ade::util::value(out_it);
const auto out_meta = descr_of(context.m_results[out_index]);
if (expected_meta != out_meta)
{
util::throw_error
(std::logic_error
("Output meta doesn't "
"coincide with the generated meta\n"
"Expected: " + ade::util::to_string(expected_meta) + "\n"
"Actual : " + ade::util::to_string(out_meta)));
}
}
} // for(m_script)
for (auto &it : output_objs) magazine::writeBack(m_res, it.first, it.second, true);
}

72
modules/gapi/src/backends/gpu/ggpubackend.hpp Normal file
View File

@ -0,0 +1,72 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#ifndef OPENCV_GAPI_GGPUBACKEND_HPP
#define OPENCV_GAPI_GGPUBACKEND_HPP
#include <map> // map
#include <unordered_map> // unordered_map
#include <tuple> // tuple
#include <ade/util/algorithm.hpp> // type_list_index
#include "opencv2/gapi/garg.hpp"
#include "opencv2/gapi/gproto.hpp"
#include "opencv2/gapi/gpu/ggpukernel.hpp"
#include "api/gapi_priv.hpp"
#include "backends/common/gbackend.hpp"
#include "compiler/gislandmodel.hpp"
namespace cv { namespace gimpl {
struct Unit
{
static const char *name() { return "GPUKernel"; }
GGPUKernel k;
};
class GGPUExecutable final: public GIslandExecutable
{
const ade::Graph &m_g;
GModel::ConstGraph m_gm;
struct OperationInfo
{
ade::NodeHandle nh;
GMetaArgs expected_out_metas;
};
// Execution script, currently absolutely naive
std::vector<OperationInfo> m_script;
// List of all resources in graph (both internal and external)
std::vector<ade::NodeHandle> m_dataNodes;
// Actual data of all resources in graph (both internal and external)
Mag m_res;
GArg packArg(const GArg &arg);
public:
GGPUExecutable(const ade::Graph &graph,
const std::vector<ade::NodeHandle> &nodes);
virtual inline bool canReshape() const override { return false; }
virtual inline void reshape(ade::Graph&, const GCompileArgs&) override
{
// FIXME: GPU plugin is in fact reshapeable (as it was initially,
// even before outMeta() has been introduced), so this limitation
// should be dropped.
util::throw_error(std::logic_error("GGPUExecutable::reshape() should never be called"));
}
virtual void run(std::vector<InObj> &&input_objs,
std::vector<OutObj> &&output_objs) override;
};
}}
#endif // OPENCV_GAPI_GGPUBACKEND_HPP

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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "precomp.hpp"
#include "opencv2/gapi/core.hpp"
#include "opencv2/gapi/gpu/core.hpp"
#include "backends/gpu/ggpucore.hpp"
GAPI_GPU_KERNEL(GGPUAdd, cv::gapi::core::GAdd)
{
static void run(const cv::UMat& a, const cv::UMat& b, int dtype, cv::UMat& out)
{
cv::add(a, b, out, cv::noArray(), dtype);
}
};
GAPI_GPU_KERNEL(GGPUAddC, cv::gapi::core::GAddC)
{
static void run(const cv::UMat& a, const cv::Scalar& b, int dtype, cv::UMat& out)
{
cv::add(a, b, out, cv::noArray(), dtype);
}
};
GAPI_GPU_KERNEL(GGPUSub, cv::gapi::core::GSub)
{
static void run(const cv::UMat& a, const cv::UMat& b, int dtype, cv::UMat& out)
{
cv::subtract(a, b, out, cv::noArray(), dtype);
}
};
GAPI_GPU_KERNEL(GGPUSubC, cv::gapi::core::GSubC)
{
static void run(const cv::UMat& a, const cv::Scalar& b, int dtype, cv::UMat& out)
{
cv::subtract(a, b, out, cv::noArray(), dtype);
}
};
GAPI_GPU_KERNEL(GGPUSubRC, cv::gapi::core::GSubRC)
{
static void run(const cv::Scalar& a, const cv::UMat& b, int dtype, cv::UMat& out)
{
cv::subtract(a, b, out, cv::noArray(), dtype);
}
};
GAPI_GPU_KERNEL(GGPUMul, cv::gapi::core::GMul)
{
static void run(const cv::UMat& a, const cv::UMat& b, double scale, int dtype, cv::UMat& out)
{
cv::multiply(a, b, out, scale, dtype);
}
};
GAPI_GPU_KERNEL(GGPUMulCOld, cv::gapi::core::GMulCOld)
{
static void run(const cv::UMat& a, double b, int dtype, cv::UMat& out)
{
cv::multiply(a, b, out, 1, dtype);
}
};
GAPI_GPU_KERNEL(GGPUMulC, cv::gapi::core::GMulC)
{
static void run(const cv::UMat& a, const cv::Scalar& b, int dtype, cv::UMat& out)
{
cv::multiply(a, b, out, 1, dtype);
}
};
GAPI_GPU_KERNEL(GGPUDiv, cv::gapi::core::GDiv)
{
static void run(const cv::UMat& a, const cv::UMat& b, double scale, int dtype, cv::UMat& out)
{
cv::divide(a, b, out, scale, dtype);
}
};
GAPI_GPU_KERNEL(GGPUDivC, cv::gapi::core::GDivC)
{
static void run(const cv::UMat& a, const cv::Scalar& b, double scale, int dtype, cv::UMat& out)
{
cv::divide(a, b, out, scale, dtype);
}
};
GAPI_GPU_KERNEL(GGPUDivRC, cv::gapi::core::GDivRC)
{
static void run(const cv::Scalar& a, const cv::UMat& b, double scale, int dtype, cv::UMat& out)
{
cv::divide(a, b, out, scale, dtype);
}
};
GAPI_GPU_KERNEL(GGPUMask, cv::gapi::core::GMask)
{
static void run(const cv::UMat& in, const cv::UMat& mask, cv::UMat& out)
{
out = cv::UMat::zeros(in.size(), in.type());
in.copyTo(out, mask);
}
};
GAPI_GPU_KERNEL(GGPUMean, cv::gapi::core::GMean)
{
static void run(const cv::UMat& in, cv::Scalar& out)
{
out = cv::mean(in);
}
};
GAPI_GPU_KERNEL(GGPUPolarToCart, cv::gapi::core::GPolarToCart)
{
static void run(const cv::UMat& magn, const cv::UMat& angle, bool angleInDegrees, cv::UMat& outx, cv::UMat& outy)
{
cv::polarToCart(magn, angle, outx, outy, angleInDegrees);
}
};
GAPI_GPU_KERNEL(GGPUCartToPolar, cv::gapi::core::GCartToPolar)
{
static void run(const cv::UMat& x, const cv::UMat& y, bool angleInDegrees, cv::UMat& outmagn, cv::UMat& outangle)
{
cv::cartToPolar(x, y, outmagn, outangle, angleInDegrees);
}
};
GAPI_GPU_KERNEL(GGPUCmpGT, cv::gapi::core::GCmpGT)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_GT);
}
};
GAPI_GPU_KERNEL(GGPUCmpGE, cv::gapi::core::GCmpGE)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_GE);
}
};
GAPI_GPU_KERNEL(GGPUCmpLE, cv::gapi::core::GCmpLE)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_LE);
}
};
GAPI_GPU_KERNEL(GGPUCmpLT, cv::gapi::core::GCmpLT)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_LT);
}
};
GAPI_GPU_KERNEL(GGPUCmpEQ, cv::gapi::core::GCmpEQ)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_EQ);
}
};
GAPI_GPU_KERNEL(GGPUCmpNE, cv::gapi::core::GCmpNE)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_NE);
}
};
GAPI_GPU_KERNEL(GGPUCmpGTScalar, cv::gapi::core::GCmpGTScalar)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_GT);
}
};
GAPI_GPU_KERNEL(GGPUCmpGEScalar, cv::gapi::core::GCmpGEScalar)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_GE);
}
};
GAPI_GPU_KERNEL(GGPUCmpLEScalar, cv::gapi::core::GCmpLEScalar)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_LE);
}
};
GAPI_GPU_KERNEL(GGPUCmpLTScalar, cv::gapi::core::GCmpLTScalar)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_LT);
}
};
GAPI_GPU_KERNEL(GGPUCmpEQScalar, cv::gapi::core::GCmpEQScalar)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_EQ);
}
};
GAPI_GPU_KERNEL(GGPUCmpNEScalar, cv::gapi::core::GCmpNEScalar)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::compare(a, b, out, cv::CMP_NE);
}
};
GAPI_GPU_KERNEL(GGPUAnd, cv::gapi::core::GAnd)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::bitwise_and(a, b, out);
}
};
GAPI_GPU_KERNEL(GGPUAndS, cv::gapi::core::GAndS)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::bitwise_and(a, b, out);
}
};
GAPI_GPU_KERNEL(GGPUOr, cv::gapi::core::GOr)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::bitwise_or(a, b, out);
}
};
GAPI_GPU_KERNEL(GGPUOrS, cv::gapi::core::GOrS)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::bitwise_or(a, b, out);
}
};
GAPI_GPU_KERNEL(GGPUXor, cv::gapi::core::GXor)
{
static void run(const cv::UMat& a, const cv::UMat& b, cv::UMat& out)
{
cv::bitwise_xor(a, b, out);
}
};
GAPI_GPU_KERNEL(GGPUXorS, cv::gapi::core::GXorS)
{
static void run(const cv::UMat& a, const cv::Scalar& b, cv::UMat& out)
{
cv::bitwise_xor(a, b, out);
}
};
GAPI_GPU_KERNEL(GGPUNot, cv::gapi::core::GNot)
{
static void run(const cv::UMat& a, cv::UMat& out)
{
cv::bitwise_not(a, out);
}
};
GAPI_GPU_KERNEL(GGPUSelect, cv::gapi::core::GSelect)
{
static void run(const cv::UMat& src1, const cv::UMat& src2, const cv::UMat& mask, cv::UMat& out)
{
src2.copyTo(out);
src1.copyTo(out, mask);
}
};
////TODO: doesn't compiled with UMat
//GAPI_GPU_KERNEL(GGPUMin, cv::gapi::core::GMin)
//{
// static void run(const cv::UMat& in1, const cv::UMat& in2, cv::UMat& out)
// {
// out = cv::min(in1, in2);
// }
//};
//
////TODO: doesn't compiled with UMat
//GAPI_GPU_KERNEL(GGPUMax, cv::gapi::core::GMax)
//{
// static void run(const cv::UMat& in1, const cv::UMat& in2, cv::UMat& out)
// {
// out = cv::max(in1, in2);
// }
//};
GAPI_GPU_KERNEL(GGPUAbsDiff, cv::gapi::core::GAbsDiff)
{
static void run(const cv::UMat& in1, const cv::UMat& in2, cv::UMat& out)
{
cv::absdiff(in1, in2, out);
}
};
GAPI_GPU_KERNEL(GGPUAbsDiffC, cv::gapi::core::GAbsDiffC)
{
static void run(const cv::UMat& in1, const cv::Scalar& in2, cv::UMat& out)
{
cv::absdiff(in1, in2, out);
}
};
GAPI_GPU_KERNEL(GGPUSum, cv::gapi::core::GSum)
{
static void run(const cv::UMat& in, cv::Scalar& out)
{
out = cv::sum(in);
}
};
GAPI_GPU_KERNEL(GGPUAddW, cv::gapi::core::GAddW)
{
static void run(const cv::UMat& in1, double alpha, const cv::UMat& in2, double beta, double gamma, int dtype, cv::UMat& out)
{
cv::addWeighted(in1, alpha, in2, beta, gamma, out, dtype);
}
};
GAPI_GPU_KERNEL(GGPUNormL1, cv::gapi::core::GNormL1)
{
static void run(const cv::UMat& in, cv::Scalar& out)
{
out = cv::norm(in, cv::NORM_L1);
}
};
GAPI_GPU_KERNEL(GGPUNormL2, cv::gapi::core::GNormL2)
{
static void run(const cv::UMat& in, cv::Scalar& out)
{
out = cv::norm(in, cv::NORM_L2);
}
};
GAPI_GPU_KERNEL(GGPUNormInf, cv::gapi::core::GNormInf)
{
static void run(const cv::UMat& in, cv::Scalar& out)
{
out = cv::norm(in, cv::NORM_INF);
}
};
GAPI_GPU_KERNEL(GGPUIntegral, cv::gapi::core::GIntegral)
{
static void run(const cv::UMat& in, int sdepth, int sqdepth, cv::UMat& out, cv::UMat& outSq)
{
cv::integral(in, out, outSq, sdepth, sqdepth);
}
};
GAPI_GPU_KERNEL(GGPUThreshold, cv::gapi::core::GThreshold)
{
static void run(const cv::UMat& in, const cv::Scalar& a, const cv::Scalar& b, int type, cv::UMat& out)
{
cv::threshold(in, out, a.val[0], b.val[0], type);
}
};
GAPI_GPU_KERNEL(GGPUThresholdOT, cv::gapi::core::GThresholdOT)
{
static void run(const cv::UMat& in, const cv::Scalar& b, int type, cv::UMat& out, cv::Scalar& outScalar)
{
outScalar = cv::threshold(in, out, b.val[0], b.val[0], type);
}
};
GAPI_GPU_KERNEL(GGPUInRange, cv::gapi::core::GInRange)
{
static void run(const cv::UMat& in, const cv::Scalar& low, const cv::Scalar& up, cv::UMat& out)
{
cv::inRange(in, low, up, out);
}
};
GAPI_GPU_KERNEL(GGPUSplit3, cv::gapi::core::GSplit3)
{
static void run(const cv::UMat& in, cv::UMat &m1, cv::UMat &m2, cv::UMat &m3)
{
std::vector<cv::UMat> outMats = {m1, m2, m3};
cv::split(in, outMats);
// Write back FIXME: Write a helper or avoid this nonsence completely!
m1 = outMats[0];
m2 = outMats[1];
m3 = outMats[2];
}
};
GAPI_GPU_KERNEL(GGPUSplit4, cv::gapi::core::GSplit4)
{
static void run(const cv::UMat& in, cv::UMat &m1, cv::UMat &m2, cv::UMat &m3, cv::UMat &m4)
{
std::vector<cv::UMat> outMats = {m1, m2, m3, m4};
cv::split(in, outMats);
// Write back FIXME: Write a helper or avoid this nonsence completely!
m1 = outMats[0];
m2 = outMats[1];
m3 = outMats[2];
m4 = outMats[3];
}
};
GAPI_GPU_KERNEL(GGPUMerge3, cv::gapi::core::GMerge3)
{
static void run(const cv::UMat& in1, const cv::UMat& in2, const cv::UMat& in3, cv::UMat &out)
{
std::vector<cv::UMat> inMats = {in1, in2, in3};
cv::merge(inMats, out);
}
};
GAPI_GPU_KERNEL(GGPUMerge4, cv::gapi::core::GMerge4)
{
static void run(const cv::UMat& in1, const cv::UMat& in2, const cv::UMat& in3, const cv::UMat& in4, cv::UMat &out)
{
std::vector<cv::UMat> inMats = {in1, in2, in3, in4};
cv::merge(inMats, out);
}
};
GAPI_GPU_KERNEL(GGPUResize, cv::gapi::core::GResize)
{
static void run(const cv::UMat& in, cv::Size sz, double fx, double fy, int interp, cv::UMat &out)
{
cv::resize(in, out, sz, fx, fy, interp);
}
};
GAPI_GPU_KERNEL(GGPURemap, cv::gapi::core::GRemap)
{
static void run(const cv::UMat& in, const cv::Mat& x, const cv::Mat& y, int a, int b, cv::Scalar s, cv::UMat& out)
{
cv::remap(in, out, x, y, a, b, s);
}
};
GAPI_GPU_KERNEL(GGPUFlip, cv::gapi::core::GFlip)
{
static void run(const cv::UMat& in, int code, cv::UMat& out)
{
cv::flip(in, out, code);
}
};
GAPI_GPU_KERNEL(GGPUCrop, cv::gapi::core::GCrop)
{
static void run(const cv::UMat& in, cv::Rect rect, cv::UMat& out)
{
cv::UMat(in, rect).copyTo(out);
}
};
GAPI_GPU_KERNEL(GGPUConcatHor, cv::gapi::core::GConcatHor)
{
static void run(const cv::UMat& in1, const cv::UMat& in2, cv::UMat& out)
{
cv::hconcat(in1, in2, out);
}
};
GAPI_GPU_KERNEL(GGPUConcatVert, cv::gapi::core::GConcatVert)
{
static void run(const cv::UMat& in1, const cv::UMat& in2, cv::UMat& out)
{
cv::vconcat(in1, in2, out);
}
};
GAPI_GPU_KERNEL(GGPULUT, cv::gapi::core::GLUT)
{
static void run(const cv::UMat& in, const cv::Mat& lut, cv::UMat& out)
{
cv::LUT(in, lut, out);
}
};
GAPI_GPU_KERNEL(GGPUConvertTo, cv::gapi::core::GConvertTo)
{
static void run(const cv::UMat& in, int rtype, double alpha, double beta, cv::UMat& out)
{
in.convertTo(out, rtype, alpha, beta);
}
};
cv::gapi::GKernelPackage cv::gapi::core::gpu::kernels()
{
static auto pkg = cv::gapi::kernels
< GGPUAdd
, GGPUAddC
, GGPUSub
, GGPUSubC
, GGPUSubRC
, GGPUMul
, GGPUMulC
, GGPUMulCOld
, GGPUDiv
, GGPUDivC
, GGPUDivRC
, GGPUMean
, GGPUMask
, GGPUPolarToCart
, GGPUCartToPolar
, GGPUCmpGT
, GGPUCmpGE
, GGPUCmpLE
, GGPUCmpLT
, GGPUCmpEQ
, GGPUCmpNE
, GGPUCmpGTScalar
, GGPUCmpGEScalar
, GGPUCmpLEScalar
, GGPUCmpLTScalar
, GGPUCmpEQScalar
, GGPUCmpNEScalar
, GGPUAnd
, GGPUAndS
, GGPUOr
, GGPUOrS
, GGPUXor
, GGPUXorS
, GGPUNot
, GGPUSelect
//, GGPUMin
//, GGPUMax
, GGPUAbsDiff
, GGPUAbsDiffC
, GGPUSum
, GGPUAddW
, GGPUNormL1
, GGPUNormL2
, GGPUNormInf
, GGPUIntegral
, GGPUThreshold
, GGPUThresholdOT
, GGPUInRange
, GGPUSplit3
, GGPUSplit4
, GGPUResize
, GGPUMerge3
, GGPUMerge4
, GGPURemap
, GGPUFlip
, GGPUCrop
, GGPUConcatHor
, GGPUConcatVert
, GGPULUT
, GGPUConvertTo
>();
return pkg;
}

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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#ifndef OPENCV_GAPI_GGPUCORE_HPP
#define OPENCV_GAPI_GGPUCORE_HPP
#include <map>
#include <string>
#include "opencv2/gapi/gpu/ggpukernel.hpp"
namespace cv { namespace gimpl {
// NB: This is what a "Kernel Package" from the original Wiki doc should be.
void loadGPUCore(std::map<std::string, cv::GGPUKernel> &kmap);
}
}
#endif // OPENCV_GAPI_GGPUCORE_HPP

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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "precomp.hpp"
#include "opencv2/gapi/imgproc.hpp"
#include "opencv2/gapi/gpu/imgproc.hpp"
#include "backends/gpu/ggpuimgproc.hpp"
GAPI_GPU_KERNEL(GGPUSepFilter, cv::gapi::imgproc::GSepFilter)
{
static void run(const cv::UMat& in, int ddepth, const cv::Mat& kernX, const cv::Mat& kernY, const cv::Point& anchor, const cv::Scalar& delta,
int border, const cv::Scalar& bordVal, cv::UMat &out)
{
if( border == cv::BORDER_CONSTANT )
{
cv::UMat temp_in;
int width_add = (kernY.cols - 1) / 2;
int height_add = (kernX.rows - 1) / 2;
cv::copyMakeBorder(in, temp_in, height_add, height_add, width_add, width_add, border, bordVal);
cv::Rect rect = cv::Rect(height_add, width_add, in.cols, in.rows);
cv::sepFilter2D(temp_in(rect), out, ddepth, kernX, kernY, anchor, delta.val[0], border);
}
else
cv::sepFilter2D(in, out, ddepth, kernX, kernY, anchor, delta.val[0], border);
}
};
GAPI_GPU_KERNEL(GGPUBoxFilter, cv::gapi::imgproc::GBoxFilter)
{
static void run(const cv::UMat& in, int ddepth, const cv::Size& ksize, const cv::Point& anchor, bool normalize, int borderType, const cv::Scalar& bordVal, cv::UMat &out)
{
if( borderType == cv::BORDER_CONSTANT )
{
cv::UMat temp_in;
int width_add = (ksize.width - 1) / 2;
int height_add = (ksize.height - 1) / 2;
cv::copyMakeBorder(in, temp_in, height_add, height_add, width_add, width_add, borderType, bordVal);
cv::Rect rect = cv::Rect(height_add, width_add, in.cols, in.rows);
cv::boxFilter(temp_in(rect), out, ddepth, ksize, anchor, normalize, borderType);
}
else
cv::boxFilter(in, out, ddepth, ksize, anchor, normalize, borderType);
}
};
GAPI_GPU_KERNEL(GGPUBlur, cv::gapi::imgproc::GBlur)
{
static void run(const cv::UMat& in, const cv::Size& ksize, const cv::Point& anchor, int borderType, const cv::Scalar& bordVal, cv::UMat &out)
{
if( borderType == cv::BORDER_CONSTANT )
{
cv::UMat temp_in;
int width_add = (ksize.width - 1) / 2;
int height_add = (ksize.height - 1) / 2;
cv::copyMakeBorder(in, temp_in, height_add, height_add, width_add, width_add, borderType, bordVal);
cv::Rect rect = cv::Rect(height_add, width_add, in.cols, in.rows);
cv::blur(temp_in(rect), out, ksize, anchor, borderType);
}
else
cv::blur(in, out, ksize, anchor, borderType);
}
};
GAPI_GPU_KERNEL(GGPUFilter2D, cv::gapi::imgproc::GFilter2D)
{
static void run(const cv::UMat& in, int ddepth, const cv::Mat& k, const cv::Point& anchor, const cv::Scalar& delta, int border,
const cv::Scalar& bordVal, cv::UMat &out)
{
if( border == cv::BORDER_CONSTANT )
{
cv::UMat temp_in;
int width_add = (k.cols - 1) / 2;
int height_add = (k.rows - 1) / 2;
cv::copyMakeBorder(in, temp_in, height_add, height_add, width_add, width_add, border, bordVal );
cv::Rect rect = cv::Rect(height_add, width_add, in.cols, in.rows);
cv::filter2D(temp_in(rect), out, ddepth, k, anchor, delta.val[0], border);
}
else
cv::filter2D(in, out, ddepth, k, anchor, delta.val[0], border);
}
};
GAPI_GPU_KERNEL(GGPUGaussBlur, cv::gapi::imgproc::GGaussBlur)
{
static void run(const cv::UMat& in, const cv::Size& ksize, double sigmaX, double sigmaY, int borderType, const cv::Scalar& bordVal, cv::UMat &out)
{
if( borderType == cv::BORDER_CONSTANT )
{
cv::UMat temp_in;
int width_add = (ksize.width - 1) / 2;
int height_add = (ksize.height - 1) / 2;
cv::copyMakeBorder(in, temp_in, height_add, height_add, width_add, width_add, borderType, bordVal );
cv::Rect rect = cv::Rect(height_add, width_add, in.cols, in.rows);
cv::GaussianBlur(temp_in(rect), out, ksize, sigmaX, sigmaY, borderType);
}
else
cv::GaussianBlur(in, out, ksize, sigmaX, sigmaY, borderType);
}
};
GAPI_GPU_KERNEL(GGPUMedianBlur, cv::gapi::imgproc::GMedianBlur)
{
static void run(const cv::UMat& in, int ksize, cv::UMat &out)
{
cv::medianBlur(in, out, ksize);
}
};
GAPI_GPU_KERNEL(GGPUErode, cv::gapi::imgproc::GErode)
{
static void run(const cv::UMat& in, const cv::Mat& kernel, const cv::Point& anchor, int iterations, int borderType, const cv::Scalar& borderValue, cv::UMat &out)
{
cv::erode(in, out, kernel, anchor, iterations, borderType, borderValue);
}
};
GAPI_GPU_KERNEL(GGPUDilate, cv::gapi::imgproc::GDilate)
{
static void run(const cv::UMat& in, const cv::Mat& kernel, const cv::Point& anchor, int iterations, int borderType, const cv::Scalar& borderValue, cv::UMat &out)
{
cv::dilate(in, out, kernel, anchor, iterations, borderType, borderValue);
}
};
GAPI_GPU_KERNEL(GGPUSobel, cv::gapi::imgproc::GSobel)
{
static void run(const cv::UMat& in, int ddepth, int dx, int dy, int ksize, double scale, double delta, int borderType,
const cv::Scalar& bordVal, cv::UMat &out)
{
if( borderType == cv::BORDER_CONSTANT )
{
cv::UMat temp_in;
int add = (ksize - 1) / 2;
cv::copyMakeBorder(in, temp_in, add, add, add, add, borderType, bordVal );
cv::Rect rect = cv::Rect(add, add, in.cols, in.rows);
cv::Sobel(temp_in(rect), out, ddepth, dx, dy, ksize, scale, delta, borderType);
}
else
cv::Sobel(in, out, ddepth, dx, dy, ksize, scale, delta, borderType);
}
};
GAPI_GPU_KERNEL(GGPUEqualizeHist, cv::gapi::imgproc::GEqHist)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::equalizeHist(in, out);
}
};
GAPI_GPU_KERNEL(GGPUCanny, cv::gapi::imgproc::GCanny)
{
static void run(const cv::UMat& in, double thr1, double thr2, int apSize, bool l2gradient, cv::UMat &out)
{
cv::Canny(in, out, thr1, thr2, apSize, l2gradient);
}
};
GAPI_GPU_KERNEL(GGPURGB2YUV, cv::gapi::imgproc::GRGB2YUV)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_RGB2YUV);
}
};
GAPI_GPU_KERNEL(GGPUYUV2RGB, cv::gapi::imgproc::GYUV2RGB)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_YUV2RGB);
}
};
GAPI_GPU_KERNEL(GGPURGB2Lab, cv::gapi::imgproc::GRGB2Lab)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_RGB2Lab);
}
};
GAPI_GPU_KERNEL(GGPUBGR2LUV, cv::gapi::imgproc::GBGR2LUV)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_BGR2Luv);
}
};
GAPI_GPU_KERNEL(GGPUBGR2YUV, cv::gapi::imgproc::GBGR2YUV)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_BGR2YUV);
}
};
GAPI_GPU_KERNEL(GGPULUV2BGR, cv::gapi::imgproc::GLUV2BGR)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_Luv2BGR);
}
};
GAPI_GPU_KERNEL(GGPUYUV2BGR, cv::gapi::imgproc::GYUV2BGR)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_YUV2BGR);
}
};
GAPI_GPU_KERNEL(GGPURGB2Gray, cv::gapi::imgproc::GRGB2Gray)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_RGB2GRAY);
}
};
GAPI_GPU_KERNEL(GGPUBGR2Gray, cv::gapi::imgproc::GBGR2Gray)
{
static void run(const cv::UMat& in, cv::UMat &out)
{
cv::cvtColor(in, out, cv::COLOR_BGR2GRAY);
}
};
GAPI_GPU_KERNEL(GGPURGB2GrayCustom, cv::gapi::imgproc::GRGB2GrayCustom)
{
//TODO: avoid copy
static void run(const cv::UMat& in, float rY, float bY, float gY, cv::UMat &out)
{
cv::Mat planes[3];
cv::split(in.getMat(cv::ACCESS_READ), planes);
cv::Mat tmp_out = (planes[0]*rY + planes[1]*bY + planes[2]*gY);
tmp_out.copyTo(out);
}
};
cv::gapi::GKernelPackage cv::gapi::imgproc::gpu::kernels()
{
static auto pkg = cv::gapi::kernels
< GGPUFilter2D
, GGPUSepFilter
, GGPUBoxFilter
, GGPUBlur
, GGPUGaussBlur
, GGPUMedianBlur
, GGPUErode
, GGPUDilate
, GGPUSobel
, GGPUCanny
, GGPUEqualizeHist
, GGPURGB2YUV
, GGPUYUV2RGB
, GGPURGB2Lab
, GGPUBGR2LUV
, GGPUBGR2YUV
, GGPUYUV2BGR
, GGPULUV2BGR
, GGPUBGR2Gray
, GGPURGB2Gray
, GGPURGB2GrayCustom
>();
return pkg;
}

23
modules/gapi/src/backends/gpu/ggpuimgproc.hpp Normal file
View File

@ -0,0 +1,23 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#ifndef OPENCV_GAPI_GGPUIMGPROC_HPP
#define OPENCV_GAPI_GGPUIMGPROC_HPP
#include <map>
#include <string>
#include "opencv2/gapi/gpu/ggpukernel.hpp"
namespace cv { namespace gimpl {
// NB: This is what a "Kernel Package" from the origianl Wiki doc should be.
void loadGPUImgProc(std::map<std::string, cv::GGPUKernel> &kmap);
}}
#endif // OPENCV_GAPI_GGPUIMGPROC_HPP

50
modules/gapi/src/backends/gpu/ggpukernel.cpp Normal file
View File

@ -0,0 +1,50 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include <cassert>
#include "opencv2/gapi/gpu/ggpukernel.hpp"
const cv::UMat& cv::GGPUContext::inMat(int input)
{
return (inArg<cv::UMat>(input));
}
cv::UMat& cv::GGPUContext::outMatR(int output)
{
return (*(util::get<cv::UMat*>(m_results.at(output))));
}
const cv::gapi::own::Scalar& cv::GGPUContext::inVal(int input)
{
return inArg<cv::gapi::own::Scalar>(input);
}
cv::gapi::own::Scalar& cv::GGPUContext::outValR(int output)
{
return *util::get<cv::gapi::own::Scalar*>(m_results.at(output));
}
cv::detail::VectorRef& cv::GGPUContext::outVecRef(int output)
{
return util::get<cv::detail::VectorRef>(m_results.at(output));
}
cv::GGPUKernel::GGPUKernel()
{
}
cv::GGPUKernel::GGPUKernel(const GGPUKernel::F &f)
: m_f(f)
{
}
void cv::GGPUKernel::apply(GGPUContext &ctx)
{
CV_Assert(m_f);
m_f(ctx);
}

10
modules/gapi/test/common/gapi_core_tests.hpp
View File

@ -124,17 +124,17 @@ 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, cv::GCompileArgs>> {};
struct AddWeightedTest : public TestParams<std::tuple<int,cv::Size,int,bool, cv::GCompileArgs>>{};
struct NormTest : public TestParams<std::tuple<NormTypes,int,cv::Size, 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 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>> {};
struct InRangeTest : public TestParams<std::tuple<int,cv::Size,bool, cv::GCompileArgs>> {};
struct Split3Test : public TestParams<std::tuple<cv::Size, cv::GCompileArgs>> {};
struct Split4Test : public TestParams<std::tuple<cv::Size, cv::GCompileArgs>> {};
struct ResizeTest : public TestWithParam<std::tuple<int, int, cv::Size, cv::Size, double, cv::GCompileArgs>> {};
struct ResizeTestFxFy : public TestWithParam<std::tuple<int, int, cv::Size, double, double, double, cv::GCompileArgs>> {};
struct ResizeTest : public TestWithParam<std::tuple<compare_f, int, int, cv::Size, cv::Size, cv::GCompileArgs>> {};
struct ResizeTestFxFy : public TestWithParam<std::tuple<compare_f, int, int, cv::Size, double, double, cv::GCompileArgs>> {};
struct Merge3Test : public TestParams<std::tuple<cv::Size, cv::GCompileArgs>> {};
struct Merge4Test : public TestParams<std::tuple<cv::Size, cv::GCompileArgs>> {};
struct RemapTest : public TestParams<std::tuple<int,cv::Size,bool, cv::GCompileArgs>> {};

43
modules/gapi/test/common/gapi_core_tests_inl.hpp
View File

@ -682,8 +682,11 @@ TEST_P(SumTest, AccuracyTest)
{
auto param = GetParam();
cv::Size sz_in = std::get<1>(param);
auto compile_args = std::get<3>(param);
initMatrixRandU(std::get<0>(param), sz_in, std::get<2>(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));
initMatsRandN(std::get<0>(param), sz_in, std::get<2>(param)); //TODO: workaround trying to fix SumTest failures
cv::Scalar out_sum;
cv::Scalar out_sum_ocv;
@ -700,7 +703,7 @@ TEST_P(SumTest, AccuracyTest)
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(out_sum[0], out_sum_ocv[0]);
EXPECT_LE(abs(out_sum[0] - out_sum_ocv[0]), tolerance);
}
}
@ -710,7 +713,8 @@ TEST_P(AddWeightedTest, AccuracyTest)
cv::Size sz_in;
bool initOut = false;
cv::GCompileArgs compile_args;
std::tie(type, sz_in, dtype, initOut, compile_args) = GetParam();
double tolerance = 0.0;
std::tie(type, sz_in, dtype, initOut, tolerance, compile_args) = GetParam();
auto& rng = cv::theRNG();
double alpha = rng.uniform(0.0, 1.0);
@ -759,7 +763,7 @@ TEST_P(AddWeightedTest, AccuracyTest)
// 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) >= 0.5000005f; // relative to 6 digits
incorrect = abs(diff) >= tolerance;// 0.5000005f; // relative to 6 digits
failures = inexact & incorrect;
}
@ -774,8 +778,9 @@ TEST_P(NormTest, AccuracyTest)
NormTypes opType = NORM_INF;
int type = 0;
cv::Size sz;
double tolerance = 0.0;
cv::GCompileArgs compile_args;
std::tie(opType, type, sz, compile_args) = GetParam();
std::tie(opType, type, sz, tolerance, compile_args) = GetParam();
initMatrixRandU(type, sz, type, false);
cv::Scalar out_norm;
@ -797,7 +802,7 @@ TEST_P(NormTest, AccuracyTest)
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(out_norm[0], out_norm_ocv[0]);
EXPECT_LE(abs(out_norm[0] - out_norm_ocv[0]), tolerance);
}
}
@ -845,9 +850,8 @@ TEST_P(ThresholdTest, AccuracyTestBinary)
int tt = std::get<2>(param);
auto compile_args = std::get<4>(param);
auto& rng = cv::theRNG();
cv::Scalar thr = cv::Scalar(rng(50),rng(50),rng(50),rng(50));
cv::Scalar maxval = cv::Scalar(50 + rng(50),50 + rng(50),50 + rng(50),50 + rng(50));
cv::Scalar thr = initScalarRandU(50);
cv::Scalar maxval = initScalarRandU(50) + cv::Scalar(50, 50, 50, 50);
initMatrixRandU(type, sz_in, type, std::get<3>(param));
cv::Scalar out_scalar;
@ -994,7 +998,7 @@ TEST_P(Split4Test, AccuracyTest)
}
}
static void ResizeAccuracyTest(int type, int interp, cv::Size sz_in, cv::Size sz_out, double fx, double fy, double tolerance, cv::GCompileArgs&& compile_args)
static void ResizeAccuracyTest(compare_f cmpF, int type, int interp, cv::Size sz_in, cv::Size sz_out, double fx, double fy, cv::GCompileArgs&& compile_args)
{
cv::Mat in_mat1 (sz_in, type );
cv::Scalar mean = cv::Scalar::all(127);
@ -1020,30 +1024,29 @@ static void ResizeAccuracyTest(int type, int interp, cv::Size sz_in, cv::Size sz
}
// Comparison //////////////////////////////////////////////////////////////
{
cv::Mat absDiff;
cv::absdiff(out_mat, out_mat_ocv, absDiff);
EXPECT_EQ(0, cv::countNonZero(absDiff > tolerance));
EXPECT_TRUE(cmpF(out_mat, out_mat_ocv));
}
}
TEST_P(ResizeTest, AccuracyTest)
{
compare_f cmpF;
int type = 0, interp = 0;
cv::Size sz_in, sz_out;
double tolerance = 0.0;
cv::GCompileArgs compile_args;
std::tie(type, interp, sz_in, sz_out, tolerance, compile_args) = GetParam();
ResizeAccuracyTest(type, interp, sz_in, sz_out, 0.0, 0.0, tolerance, std::move(compile_args));
std::tie(cmpF, type, interp, sz_in, sz_out, compile_args) = GetParam();
ResizeAccuracyTest(cmpF, type, interp, sz_in, sz_out, 0.0, 0.0, std::move(compile_args));
}
TEST_P(ResizeTestFxFy, AccuracyTest)
{
compare_f cmpF;
int type = 0, interp = 0;
cv::Size sz_in;
double fx = 0.0, fy = 0.0, tolerance = 0.0;
double fx = 0.0, fy = 0.0;
cv::GCompileArgs compile_args;
std::tie(type, interp, sz_in, fx, fy, tolerance, compile_args) = GetParam();
ResizeAccuracyTest(type, interp, sz_in, cv::Size{0, 0}, fx, fy, tolerance, std::move(compile_args));
std::tie(cmpF, type, interp, sz_in, fx, fy, compile_args) = GetParam();
ResizeAccuracyTest(cmpF, type, interp, sz_in, cv::Size{0, 0}, fx, fy, std::move(compile_args));
}
TEST_P(Merge3Test, AccuracyTest)

4
modules/gapi/test/common/gapi_operators_tests.hpp
View File

@ -184,8 +184,8 @@ g_api_ocv_pair_mat_mat opXor = {std::string{"operator^"},
[](const cv::Mat& in1, const cv::Mat& in2, cv::Mat& out){cv::bitwise_xor(in1, in2, out);}};
} // anonymous namespace
struct MathOperatorMatScalarTest : public TestParams<std::tuple<g_api_ocv_pair_mat_scalar,int,cv::Size,int,bool,cv::GCompileArgs>>{};
struct MathOperatorMatMatTest : public TestParams<std::tuple<g_api_ocv_pair_mat_mat,int,cv::Size,int,bool,cv::GCompileArgs>>{};
struct MathOperatorMatScalarTest : public TestParams<std::tuple<compare_f, g_api_ocv_pair_mat_scalar,int,cv::Size,int,bool,cv::GCompileArgs>>{};
struct MathOperatorMatMatTest : public TestParams<std::tuple<compare_f, g_api_ocv_pair_mat_mat,int,cv::Size,int,bool,cv::GCompileArgs>>{};
struct NotOperatorTest : public TestParams<std::tuple<int,cv::Size,bool,cv::GCompileArgs>> {};
} // opencv_test

10
modules/gapi/test/common/gapi_operators_tests_inl.hpp
View File

@ -14,12 +14,13 @@ namespace opencv_test
{
TEST_P(MathOperatorMatScalarTest, OperatorAccuracyTest )
{
compare_f cmpF;
g_api_ocv_pair_mat_scalar op;
int type = 0, dtype = 0;
cv::Size sz;
bool initOutMatr = false;
cv::GCompileArgs compile_args;
std::tie(op, type, sz, dtype, initOutMatr, compile_args) = GetParam();
std::tie(cmpF, op, type, sz, dtype, initOutMatr, compile_args) = GetParam();
initMatsRandU(type, sz, dtype, initOutMatr);
auto fun_gapi = op.g_api_function;
@ -38,19 +39,20 @@ TEST_P(MathOperatorMatScalarTest, OperatorAccuracyTest )
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
}
TEST_P(MathOperatorMatMatTest, OperatorAccuracyTest )
{
compare_f cmpF;
g_api_ocv_pair_mat_mat op;
int type = 0, dtype = 0;
cv::Size sz;
bool initOutMatr = false;
cv::GCompileArgs compile_args;
std::tie(op, type, sz, dtype, initOutMatr, compile_args) = GetParam();
std::tie(cmpF, op, type, sz, dtype, initOutMatr, compile_args) = GetParam();
initMatsRandU(type, sz, dtype, initOutMatr);
auto fun_gapi = op.g_api_function;
@ -69,7 +71,7 @@ TEST_P(MathOperatorMatMatTest, OperatorAccuracyTest )
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
}

251
modules/gapi/test/common/gapi_tests_common.hpp
View File

@ -128,4 +128,255 @@ struct Wrappable
}
};
class AbsExact : public Wrappable<AbsExact>
{
public:
AbsExact() {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
if (cv::countNonZero(in1 != in2) != 0)
{
std::cout << "AbsExact error: G-API output and reference output matrixes are not bitexact equal." << std::endl;
return false;
}
else
{
return true;
}
}
private:
};
class AbsTolerance : public Wrappable<AbsTolerance>
{
public:
AbsTolerance(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
cv::Mat absDiff; cv::absdiff(in1, in2, absDiff);
if(cv::countNonZero(absDiff > _tol))
{
std::cout << "AbsTolerance error: Number of different pixels in " << std::endl;
std::cout << "G-API output and reference output matrixes exceeds " << _tol << " pixels threshold." << std::endl;
return false;
}
else
{
return true;
}
}
private:
double _tol;
};
class AbsTolerance_Float_Int : public Wrappable<AbsTolerance_Float_Int>
{
public:
AbsTolerance_Float_Int(double tol, double tol8u) : _tol(tol), _tol8u(tol8u) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
if (CV_MAT_DEPTH(in1.type()) == CV_32F)
{
if (cv::countNonZero(cv::abs(in1 - in2) > (_tol)*cv::abs(in2)))
{
std::cout << "AbsTolerance_Float_Int error (Float): One or more of pixels in" << std::endl;
std::cout << "G-API output exceeds relative threshold value defined by reference_pixel_value * tolerance" << std::endl;
std::cout << "for tolerance " << _tol << std::endl;
return false;
}
else
{
return true;
}
}
else
{
if (cv::countNonZero(in1 != in2) <= (_tol8u)* in2.total())
{
return true;
}
else
{
std::cout << "AbsTolerance_Float_Int error (Integer): Number of different pixels in" << std::endl;
std::cout << "G-API output and reference output matrixes exceeds relative threshold value" << std::endl;
std::cout << "defined by reference_total_pixels_number * tolerance" << std::endl;
std::cout << "for tolerance " << _tol8u << std::endl;
return false;
}
}
}
private:
double _tol;
double _tol8u;
};
class AbsToleranceSepFilter : public Wrappable<AbsToleranceSepFilter>
{
public:
AbsToleranceSepFilter(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
if ((cv::countNonZero(cv::abs(in1 - in2) > (_tol)* cv::abs(in2)) <= 0.01 * in2.total()))
{
return true;
}
else
{
std::cout << "AbsToleranceSepFilter error: Number of different pixels in" << std::endl;
std::cout << "G-API output and reference output matrixes which exceeds relative threshold value" << std::endl;
std::cout << "defined by reference_pixel_value * tolerance" << std::endl;
std::cout << "for tolerance " << _tol << " is more then 1% of total number of pixels in the reference matrix." << std::endl;
return false;
}
}
private:
double _tol;
};
class AbsToleranceGaussianBlur_Float_Int : public Wrappable<AbsToleranceGaussianBlur_Float_Int>
{
public:
AbsToleranceGaussianBlur_Float_Int(double tol, double tol8u) : _tol(tol), _tol8u(tol8u) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
if (CV_MAT_DEPTH(in1.type()) == CV_32F || CV_MAT_DEPTH(in1.type()) == CV_64F)
{
if (cv::countNonZero(cv::abs(in1 - in2) > (_tol)*cv::abs(in2)))
{
std::cout << "AbsToleranceGaussianBlur_Float_Int error (Float): Number of different pixels in" << std::endl;
std::cout << "G-API output and reference output matrixes which exceeds relative threshold value" << std::endl;
std::cout << "defined by reference_pixel_value * tolerance" << std::endl;
std::cout << "for tolerance " << _tol << " is more then 0." << std::endl;
return false;
}
else
{
return true;
}
}
else
{
if (CV_MAT_DEPTH(in1.type()) == CV_8U)
{
bool a = (cv::countNonZero(cv::abs(in1 - in2) > 1) <= _tol8u * in2.total());
if (((a == 1 ? 0 : 1) && ((cv::countNonZero(cv::abs(in1 - in2) > 2) <= 0) == 1 ? 0 : 1)) == 1)
{
std::cout << "AbsToleranceGaussianBlur_Float_Int error (8U): Number of pixels in" << std::endl;
std::cout << "G-API output and reference output matrixes with absolute difference which is more than 1 but less than 3" << std::endl;
std::cout << "exceeds relative threshold value defined by reference_total_pixels_number * tolerance" << std::endl;
std::cout << "for tolerance " << _tol8u << std::endl;
return false;
}
else
{
return true;
}
}
else
{
if (cv::countNonZero(in1 != in2) != 0)
{
std::cout << "AbsToleranceGaussianBlur_Float_Int error: G-API output and reference output matrixes are not bitexact equal." << std::endl;
return false;
}
else
{
return true;
}
}
}
}
private:
double _tol;
double _tol8u;
};
class ToleranceRGBBGR : public Wrappable<ToleranceRGBBGR>
{
public:
ToleranceRGBBGR(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
bool a = (cv::countNonZero((in1 - in2) > 0) <= _tol * in2.total());
if (((a == 1 ? 0 : 1) && ((cv::countNonZero((in1 - in2) > 1) <= 0) == 1 ? 0 : 1)) == 1)
{
std::cout << "ToleranceRGBBGR error: Number of pixels in" << std::endl;
std::cout << "G-API output and reference output matrixes with difference which is more than 0 but no more than 1" << std::endl;
std::cout << "exceeds relative threshold value defined by reference_total_pixels_number * tolerance" << std::endl;
std::cout << "for tolerance " << _tol << std::endl;
return false;
}
else
{
return true;
}
}
private:
double _tol;
};
class ToleranceTriple: public Wrappable<ToleranceTriple>
{
public:
ToleranceTriple(double tol1, double tol2, double tol3) : _tol1(tol1), _tol2(tol2), _tol3(tol3) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
bool a = (cv::countNonZero((in1 - in2) > 0) <= _tol1 * in2.total());
if ((((a == 1 ? 0 : 1) &&
((cv::countNonZero((in1 - in2) > 1) <= _tol2 * in2.total()) == 1 ? 0 : 1) &&
((cv::countNonZero((in1 - in2) > 2) <= _tol3 * in2.total()) == 1 ? 0 : 1))) == 1)
{
std::cout << "ToleranceTriple error: Number of pixels in" << std::endl;
std::cout << "G-API output and reference output matrixes with difference which is more than 0 but no more than 1" << std::endl;
std::cout << "exceeds relative threshold value defined by reference_total_pixels_number * tolerance1" << std::endl;
std::cout << "for tolerance1 " << _tol1 << std::endl;
std::cout << "AND with difference which is more than 1 but no more than 2" << std::endl;
std::cout << "exceeds relative threshold value defined by reference_total_pixels_number * tolerance2" << std::endl;
std::cout << "for tolerance2 " << _tol2 << std::endl;
std::cout << "AND with difference which is more than 2" << std::endl;
std::cout << "exceeds relative threshold value defined by reference_total_pixels_number * tolerance3" << std::endl;
std::cout << "for tolerance3 " << _tol3 << std::endl;
return false;
}
else
{
return true;
}
}
private:
double _tol1, _tol2, _tol3;
};
class AbsToleranceSobel : public Wrappable<AbsToleranceSobel>
{
public:
AbsToleranceSobel(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
cv::Mat diff, a1, a2, b, base;
cv::absdiff(in1, in2, diff);
a1 = cv::abs(in1);
a2 = cv::abs(in2);
cv::max(a1, a2, b);
cv::max(1, b, base); // base = max{1, |in1|, |in2|}
if(cv::countNonZero(diff > _tol*base) != 0)
{
std::cout << "AbsToleranceSobel error: Number of pixels in" << std::endl;
std::cout << "G-API output and reference output matrixes with absolute difference which is more than relative threshold defined by tolerance * max{1, |in1|, |in2|}" << std::endl;
std::cout << "relative threshold defined by tolerance * max{1, |in1|, |in2|} exceeds 0"<< std::endl;
std::cout << "for tolerance " << _tol << std::endl;
return false;
}
else
{
return true;
}
}
private:
double _tol;
};
}

12
modules/gapi/test/cpu/gapi_core_tests_cpu.cpp
View File

@ -14,6 +14,7 @@
namespace opencv_test
{
// FIXME: Wut? See MulTestCPU/MathOpTest below (duplicate?)
INSTANTIATE_TEST_CASE_P(AddTestCPU, MathOpTest,
Combine(Values(ADD, MUL),
@ -187,6 +188,7 @@ INSTANTIATE_TEST_CASE_P(SumTestCPU, SumTest,
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(0.0),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffTestCPU, AbsDiffTest,
@ -213,6 +215,7 @@ INSTANTIATE_TEST_CASE_P(AddWeightedTestCPU, AddWeightedTest,
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
/*init output matrices or not*/ testing::Bool(),
Values(0.5000005),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(NormTestCPU, NormTest,
@ -221,6 +224,7 @@ INSTANTIATE_TEST_CASE_P(NormTestCPU, NormTest,
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(0.0),
Values(cv::compile_args(CORE_CPU))),
opencv_test::PrintNormCoreParams());
@ -271,25 +275,25 @@ INSTANTIATE_TEST_CASE_P(Split4TestCPU, Split4Test,
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ResizeTestCPU, ResizeTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Combine(Values(AbsExact().to_compare_f()),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::Size(64,64),
cv::Size(30,30)),
Values(0.0),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(ResizeTestCPU, ResizeTestFxFy,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Combine(Values(AbsExact().to_compare_f()),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(0.5, 0.1),
Values(0.5, 0.1),
Values(0.0),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(Merge3TestCPU, Merge3Test,

14
modules/gapi/test/cpu/gapi_core_tests_fluid.cpp
View File

@ -14,6 +14,7 @@ namespace opencv_test
#define CORE_FLUID cv::gapi::core::fluid::kernels()
// FIXME: Windows accuracy problems after recent update!
INSTANTIATE_TEST_CASE_P(MathOpTestFluid, MathOpTest,
Combine(Values(ADD, SUB, DIV, MUL),
@ -121,6 +122,7 @@ INSTANTIATE_TEST_CASE_P(AddWeightedTestFluid, AddWeightedTest,
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
testing::Bool(),
Values(0.5000005),
Values(cv::compile_args(CORE_FLUID))));
INSTANTIATE_TEST_CASE_P(LUTTestFluid, LUTTest,
@ -212,8 +214,10 @@ INSTANTIATE_TEST_CASE_P(InRangeTestFluid, InRangeTest,
testing::Bool(),
Values(cv::compile_args(CORE_FLUID))));
INSTANTIATE_TEST_CASE_P(ResizeTestFluid, ResizeTest,
Combine(Values(CV_8UC3/*CV_8UC1, CV_16UC1, CV_16SC1*/),
INSTANTIATE_TEST_CASE_P(
ResizeTestFluid, ResizeTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC3/*CV_8UC1, CV_16UC1, CV_16SC1*/),
Values(/*cv::INTER_NEAREST,*/ cv::INTER_LINEAR/*, cv::INTER_AREA*/),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
@ -225,7 +229,6 @@ INSTANTIATE_TEST_CASE_P(ResizeTestFluid, ResizeTest,
cv::Size(128, 128),
cv::Size(64, 64),
cv::Size(30, 30)),
Values(0.0),
Values(cv::compile_args(CORE_FLUID))));
//----------------------------------------------------------------------
@ -341,7 +344,9 @@ INSTANTIATE_TEST_CASE_P(SumTestCPU, SumTest,
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool()));
/*init output matrices or not*/ testing::Bool())
Values(0.0),
);
INSTANTIATE_TEST_CASE_P(AbsDiffTestCPU, AbsDiffTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
@ -371,6 +376,7 @@ INSTANTIATE_TEST_CASE_P(NormTestCPU, NormTest,
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128))),
Values(0.0),
opencv_test::PrintNormCoreParams());
INSTANTIATE_TEST_CASE_P(IntegralTestCPU, IntegralTest,

22
modules/gapi/test/cpu/gapi_imgproc_tests_cpu.cpp
View File

@ -15,26 +15,6 @@
namespace opencv_test
{
class AbsExact : public Wrappable<AbsExact>
{
public:
AbsExact() {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const { return cv::countNonZero(in1 != in2)==0; }
private:
};
class AbsTolerance : public Wrappable<AbsTolerance>
{
public:
AbsTolerance(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
cv::Mat absDiff; cv::absdiff(in1, in2, absDiff);
return cv::countNonZero(absDiff > _tol) == 0;
}
private:
double _tol;
};
INSTANTIATE_TEST_CASE_P(Filter2DTestCPU, Filter2DTest,
Combine(Values(AbsExact().to_compare_f()),
@ -49,7 +29,7 @@ INSTANTIATE_TEST_CASE_P(Filter2DTestCPU, Filter2DTest,
Values(cv::compile_args(IMGPROC_CPU))));
INSTANTIATE_TEST_CASE_P(BoxFilterTestCPU, BoxFilterTest,
Combine(Values(AbsTolerance(1e-6).to_compare_f()),
Combine(Values(AbsTolerance(0).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3,5),
Values(cv::Size(1280, 720),

151
modules/gapi/test/cpu/gapi_imgproc_tests_fluid.cpp
View File

@ -14,155 +14,36 @@
namespace opencv_test
{
class AbsExactFluid : public Wrappable<AbsExactFluid>
{
public:
AbsExactFluid() {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const { return cv::countNonZero(in1 != in2) == 0; }
private:
};
class AbsToleranceFluid : public Wrappable<AbsToleranceFluid>
{
public:
AbsToleranceFluid(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
cv::Mat absDiff; cv::absdiff(in1, in2, absDiff);
return cv::countNonZero(absDiff > _tol) == 0;
}
private:
double _tol;
};
class AbsToleranceSobelFluid : public Wrappable<AbsToleranceSobelFluid>
{
public:
AbsToleranceSobelFluid(double tol) : tolerance(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
cv::Mat diff, a1, a2, b, base;
cv::absdiff(in1, in2, diff);
a1 = cv::abs(in1);
a2 = cv::abs(in2);
cv::max(a1, a2, b);
cv::max(1, b, base); // base = max{1, |in1|, |in2|}
return cv::countNonZero(diff > tolerance*base) == 0;
}
private:
double tolerance;
};
class AbsTolerance32FFluid : public Wrappable<AbsTolerance32FFluid>
{
public:
AbsTolerance32FFluid(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
if (CV_MAT_DEPTH(in1.type()) == CV_32F)
return ((cv::countNonZero(cv::abs(in1 - in2) > (_tol)*cv::abs(in2))) ? false : true);
else
return ((cv::countNonZero(in1 != in2) <= (_tol * 100) * in2.total()) ? true : false);
}
private:
double _tol;
};
class AbsToleranceSepFilterFluid : public Wrappable<AbsToleranceSepFilterFluid>
{
public:
AbsToleranceSepFilterFluid(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
return ((cv::countNonZero(cv::abs(in1 - in2) > (_tol)* cv::abs(in2)) <= 0.01 * in2.total()) ? true : false);
}
private:
double _tol;
};
class AbsToleranceGaussianBlurFluid : public Wrappable<AbsToleranceGaussianBlurFluid>
{
public:
AbsToleranceGaussianBlurFluid(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
if (CV_MAT_DEPTH(in1.type()) == CV_32F || CV_MAT_DEPTH(in1.type()) == CV_64F)
{
return ((cv::countNonZero(cv::abs(in1 - in2) > (_tol)*cv::abs(in2))) ? false : true);
}
else
{
if (CV_MAT_DEPTH(in1.type()) == CV_8U)
{
bool a = (cv::countNonZero(cv::abs(in1 - in2) > 1) <= _tol * in2.total());
return ((a == 1 ? 0 : 1) && ((cv::countNonZero(cv::abs(in1 - in2) > 2) <= 0) == 1 ? 0 : 1)) == 1 ? false : true;
}
else return cv::countNonZero(in1 != in2)==0;
}
}
private:
double _tol;
};
class AbsToleranceRGBBGRFluid : public Wrappable<AbsToleranceRGBBGRFluid>
{
public:
AbsToleranceRGBBGRFluid(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
bool a = (cv::countNonZero((in1 - in2) > 0) <= _tol * in2.total());
return ((a == 1 ? 0 : 1) && ((cv::countNonZero((in1 - in2) > 1) <= 0) == 1 ? 0 : 1)) == 1 ? false : true;
}
private:
double _tol;
};
class ToleranceTripleFluid : public Wrappable<ToleranceTripleFluid>
{
public:
ToleranceTripleFluid(double tol1, double tol2, double tol3) : _tol1(tol1), _tol2(tol2), _tol3(tol3) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
bool a = (cv::countNonZero((in1 - in2) > 0) <= _tol1 * in2.total());
return (((a == 1 ? 0 : 1) &&
((cv::countNonZero((in1 - in2) > 1) <= _tol2 * in2.total()) == 1 ? 0 : 1) &&
((cv::countNonZero((in1 - in2) > 2) <= _tol3 * in2.total()) == 1 ? 0 : 1))) == 1 ? false : true;
}
private:
double _tol1, _tol2, _tol3;
};
INSTANTIATE_TEST_CASE_P(RGB2GrayTestFluid, RGB2GrayTest,
Combine(Values(AbsToleranceRGBBGRFluid(0.001).to_compare_f()),
Combine(Values(ToleranceRGBBGR(0.001).to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(true, false),
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(BGR2GrayTestFluid, BGR2GrayTest,
Combine(Values(AbsToleranceRGBBGRFluid(0.001).to_compare_f()),
Combine(Values(ToleranceRGBBGR(0.001).to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(true, false),
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(RGB2YUVTestFluid, RGB2YUVTest,
Combine(Values(AbsToleranceRGBBGRFluid(0.15*3).to_compare_f()),
Combine(Values(ToleranceRGBBGR(0.15*3).to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(true, false),
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(YUV2RGBTestFluid, YUV2RGBTest,
Combine(Values(ToleranceTripleFluid(0.25 * 3, 0.01 * 3, 1e-5 * 3).to_compare_f()),
Combine(Values(ToleranceTriple(0.25 * 3, 0.01 * 3, 1e-5 * 3).to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(true, false),
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(RGB2LabTestFluid, RGB2LabTest,
Combine(Values(ToleranceTripleFluid(0.25 * 3, 0.0, 1e-5 * 3).to_compare_f()),
Combine(Values(ToleranceTriple(0.25 * 3, 0.0, 1e-5 * 3).to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(true, false),
@ -170,14 +51,14 @@ INSTANTIATE_TEST_CASE_P(RGB2LabTestFluid, RGB2LabTest,
// FIXME: Not supported by Fluid yet (no kernel implemented)
INSTANTIATE_TEST_CASE_P(BGR2LUVTestFluid, BGR2LUVTest,
Combine(Values(ToleranceTripleFluid(0.25 * 3, 0.01 * 3, 0.0001 * 3).to_compare_f()),
Combine(Values(ToleranceTriple(0.25 * 3, 0.01 * 3, 0.0001 * 3).to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(true, false),
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(blurTestFluid, BlurTest,
Combine(Values(AbsToleranceFluid(0.0).to_compare_f()),
Combine(Values(AbsTolerance(0.0).to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -187,7 +68,7 @@ INSTANTIATE_TEST_CASE_P(blurTestFluid, BlurTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(gaussBlurTestFluid, GaussianBlurTest,
Combine(Values(AbsToleranceGaussianBlurFluid(1e-6).to_compare_f()),
Combine(Values(AbsToleranceGaussianBlur_Float_Int(1e-6, 1e-6).to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -196,7 +77,7 @@ INSTANTIATE_TEST_CASE_P(gaussBlurTestFluid, GaussianBlurTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(medianBlurTestFluid, MedianBlurTest,
Combine(Values(AbsExactFluid().to_compare_f()),
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -205,7 +86,7 @@ INSTANTIATE_TEST_CASE_P(medianBlurTestFluid, MedianBlurTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(erodeTestFluid, ErodeTest,
Combine(Values(AbsExactFluid().to_compare_f()),
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -217,7 +98,7 @@ INSTANTIATE_TEST_CASE_P(erodeTestFluid, ErodeTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(dilateTestFluid, DilateTest,
Combine(Values(AbsExactFluid().to_compare_f()),
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -229,7 +110,7 @@ INSTANTIATE_TEST_CASE_P(dilateTestFluid, DilateTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(SobelTestFluid, SobelTest,
Combine(Values(AbsExactFluid().to_compare_f()),
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -241,7 +122,7 @@ INSTANTIATE_TEST_CASE_P(SobelTestFluid, SobelTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(SobelTestFluid32F, SobelTest,
Combine(Values(AbsToleranceSobelFluid(1e-3).to_compare_f()),
Combine(Values(AbsToleranceSobel(1e-3).to_compare_f()),
Values(CV_32FC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -253,7 +134,7 @@ INSTANTIATE_TEST_CASE_P(SobelTestFluid32F, SobelTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(boxFilterTestFluid32, BoxFilterTest,
Combine(Values(AbsTolerance32FFluid(1e-6).to_compare_f()),
Combine(Values(AbsTolerance_Float_Int(1e-6, 1e-4).to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -264,7 +145,7 @@ INSTANTIATE_TEST_CASE_P(boxFilterTestFluid32, BoxFilterTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(sepFilterTestFluid, SepFilterTest,
Combine(Values(AbsToleranceSepFilterFluid(1e-5f).to_compare_f()),
Combine(Values(AbsToleranceSepFilter(1e-5f).to_compare_f()),
Values(CV_32FC1),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::Size(1280, 720),
@ -274,7 +155,7 @@ INSTANTIATE_TEST_CASE_P(sepFilterTestFluid, SepFilterTest,
Values(cv::compile_args(IMGPROC_FLUID))));
INSTANTIATE_TEST_CASE_P(filter2DTestFluid, Filter2DTest,
Combine(Values(AbsTolerance32FFluid(1e-6).to_compare_f()),
Combine(Values(AbsTolerance_Float_Int(1e-6, 1e-4).to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(3), // add kernel size=4,5,7 when implementation ready
Values(cv::Size(1280, 720),

36
modules/gapi/test/cpu/gapi_operators_tests_cpu.cpp
View File

@ -13,20 +13,24 @@
namespace opencv_test
{
// FIXME: CPU test runs are disabled since Fluid is an exclusive plugin now!
INSTANTIATE_TEST_CASE_P(MathOperatorTestCPU, MathOperatorMatMatTest,
Combine(Values( opPlusM, opMinusM, opDivM,
// FIXME: CPU test runs are disabled since Fluid is an exclusive plugin now!
INSTANTIATE_TEST_CASE_P(MathOperatorTestCPU, MathOperatorMatMatTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opPlusM, opMinusM, opDivM,
opGreater, opLess, opGreaterEq, opLessEq, opEq, opNotEq),
Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(MathOperatorTestCPU, MathOperatorMatScalarTest,
Combine(Values( opPlus, opPlusR, opMinus, opMinusR, opMul, opMulR, opDiv, opDivR,
INSTANTIATE_TEST_CASE_P(MathOperatorTestCPU, MathOperatorMatScalarTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opPlus, opPlusR, opMinus, opMinusR, opMul, opMulR, opDiv, opDivR,
opGT, opLT, opGE, opLE, opEQ, opNE,
opGTR, opLTR, opGER, opLER, opEQR, opNER),
Values(CV_8UC1, CV_16SC1, CV_32FC1),
@ -34,34 +38,36 @@ namespace opencv_test
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestCPU, MathOperatorMatMatTest,
Combine(Values( opAnd, opOr, opXor ),
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestCPU, MathOperatorMatMatTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opAnd, opOr, opXor ),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestCPU, MathOperatorMatScalarTest,
Combine(Values( opAND, opOR, opXOR, opANDR, opORR, opXORR ),
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestCPU, MathOperatorMatScalarTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opAND, opOR, opXOR, opANDR, opORR, opXORR ),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(BitwiseNotOperatorTestCPU, NotOperatorTest,
INSTANTIATE_TEST_CASE_P(BitwiseNotOperatorTestCPU, NotOperatorTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_CPU))));
}

37
modules/gapi/test/cpu/gapi_operators_tests_fluid.cpp
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@ -13,20 +13,23 @@
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(MathOperatorTestFluid, MathOperatorMatMatTest,
Combine(Values( opPlusM, opMinusM, opDivM,
INSTANTIATE_TEST_CASE_P(MathOperatorTestFluid, MathOperatorMatMatTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opPlusM, opMinusM, opDivM,
opGreater, opLess, opGreaterEq, opLessEq, opEq, opNotEq),
Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_FLUID))));
//FIXME: Some Mat/Scalar Fluid kernels are not there yet!
INSTANTIATE_TEST_CASE_P(DISABLED_MathOperatorTestFluid, MathOperatorMatScalarTest,
Combine(Values( opPlus, opPlusR, opMinus, opMinusR, opMul, opMulR, opDiv, opDivR,
//FIXME: Some Mat/Scalar Fluid kernels are not there yet!
INSTANTIATE_TEST_CASE_P(DISABLED_MathOperatorTestFluid, MathOperatorMatScalarTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opPlus, opPlusR, opMinus, opMinusR, opMul, opMulR, opDiv, opDivR,
opGT, opLT, opGE, opLE, opEQ, opNE,
opGTR, opLTR, opGER, opLER, opEQR, opNER),
Values(CV_8UC1, CV_16SC1, CV_32FC1),
@ -34,35 +37,37 @@ namespace opencv_test
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_FLUID))));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestFluid, MathOperatorMatMatTest,
Combine(Values( opAnd, opOr, opXor ),
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestFluid, MathOperatorMatMatTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opAnd, opOr, opXor ),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_FLUID))));
//FIXME: Some Mat/Scalar Fluid kernels are not there yet!
INSTANTIATE_TEST_CASE_P(DISABLED_BitwiseOperatorTestFluid, MathOperatorMatScalarTest,
Combine(Values( opAND, opOR, opXOR, opANDR, opORR, opXORR ),
//FIXME: Some Mat/Scalar Fluid kernels are not there yet!
INSTANTIATE_TEST_CASE_P(DISABLED_BitwiseOperatorTestFluid, MathOperatorMatScalarTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opAND, opOR, opXOR, opANDR, opORR, opXORR ),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_FLUID))));
INSTANTIATE_TEST_CASE_P(BitwiseNotOperatorTestFluid, NotOperatorTest,
INSTANTIATE_TEST_CASE_P(BitwiseNotOperatorTestFluid, NotOperatorTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_FLUID))));
}

395
modules/gapi/test/gpu/gapi_core_tests_gpu.cpp Normal file
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@ -0,0 +1,395 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_core_tests.hpp"
#include "opencv2/gapi/gpu/core.hpp"
#define CORE_GPU cv::gapi::core::gpu::kernels()
namespace opencv_test
{
// FIXME: Wut? See MulTestGPU/MathOpTest below (duplicate?)
INSTANTIATE_TEST_CASE_P(AddTestGPU, MathOpTest,
Combine(Values(ADD, MUL),
testing::Bool(),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(1.0),
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(false),
Values(cv::compile_args(CORE_GPU))),
opencv_test::PrintMathOpCoreParams());
INSTANTIATE_TEST_CASE_P(MulTestGPU, MathOpTest,
Combine(Values(MUL),
testing::Bool(),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(1.0, 0.5, 2.0),
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(false),
Values(cv::compile_args(CORE_GPU))),
opencv_test::PrintMathOpCoreParams());
INSTANTIATE_TEST_CASE_P(SubTestGPU, MathOpTest,
Combine(Values(SUB),
testing::Bool(),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values (1.0),
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(),
testing::Bool(),
Values(cv::compile_args(CORE_GPU))),
opencv_test::PrintMathOpCoreParams());
INSTANTIATE_TEST_CASE_P(DivTestGPU, MathOpTest,
Combine(Values(DIV),
testing::Bool(),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values (1.0, 0.5, 2.0),
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(),
testing::Bool(),
Values(cv::compile_args(CORE_GPU))),
opencv_test::PrintMathOpCoreParams());
INSTANTIATE_TEST_CASE_P(MulTestGPU, MulDoubleTest,
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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(DivTestGPU, DivTest,
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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(DivCTestGPU, DivCTest,
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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MeanTestGPU, MeanTest,
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)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
//TODO: mask test doesn't work
#if 0
INSTANTIATE_TEST_CASE_P(MaskTestGPU, MaskTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
#endif
INSTANTIATE_TEST_CASE_P(SelectTestGPU, SelectTest,
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)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Polar2CartGPU, Polar2CartTest,
Combine(Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Cart2PolarGPU, Cart2PolarTest,
Combine(Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(CompareTestGPU, CmpTest,
Combine(Values(CMP_EQ, CMP_GE, CMP_NE, CMP_GT, CMP_LT, CMP_LE),
testing::Bool(),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))),
opencv_test::PrintCmpCoreParams());
INSTANTIATE_TEST_CASE_P(BitwiseTestGPU, BitwiseTest,
Combine(Values(AND, OR, XOR),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))),
opencv_test::PrintBWCoreParams());
INSTANTIATE_TEST_CASE_P(BitwiseNotTestGPU, NotTest,
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)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MinTestGPU, MinTest,
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)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MaxTestGPU, MaxTest,
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)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(SumTestGPU, SumTest,
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)),
/*init output matrices or not*/ testing::Bool(),
Values(0.5), //Values(0.04), //TODO: too relaxed?
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffTestGPU, AbsDiffTest,
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)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffCTestGPU, AbsDiffCTest,
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)),
/*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 ),
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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(NormTestGPU, NormTest,
Combine(Values(NORM_INF, NORM_L1, NORM_L2),
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(0.04), //TODO: too relaxed?
Values(cv::compile_args(CORE_GPU))),
opencv_test::PrintNormCoreParams());
INSTANTIATE_TEST_CASE_P(IntegralTestGPU, IntegralTest,
Combine(Values( CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ThresholdTestGPU, ThresholdTest,
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(cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ThresholdTestGPU, ThresholdOTTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::THRESH_OTSU, cv::THRESH_TRIANGLE),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(InRangeTestGPU, InRangeTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Split3TestGPU, Split3Test,
Combine(Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Split4TestGPU, Split4Test,
Combine(Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ResizeTestGPU, ResizeTest,
Combine(Values(AbsTolerance_Float_Int(1e-3, 1e-0).to_compare_f()), //TODO: too relaxed?
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::Size(64,64),
cv::Size(30,30)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ResizeTestGPU, ResizeTestFxFy,
Combine(Values(AbsTolerance_Float_Int(1e-1, 1e-0).to_compare_f()), //TODO: too relaxed?
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(0.5, 0.1),
Values(0.5, 0.1),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Merge3TestGPU, Merge3Test,
Combine(Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(Merge4TestGPU, Merge4Test,
Combine(Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(RemapTestGPU, RemapTest,
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)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(FlipTestGPU, FlipTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(0,1,-1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(CropTestGPU, CropTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Rect(10, 8, 20, 35), cv::Rect(4, 10, 37, 50)),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(LUTTestGPU, LUTTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(LUTTestCustomGPU, LUTTest,
Combine(Values(CV_8UC3),
Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ConvertToGPU, ConvertToTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(CV_8U, CV_16U, CV_16S, CV_32F),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ConcatHorTestGPU, ConcatHorTest,
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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ConcatVertTestGPU, ConcatVertTest,
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(cv::compile_args(CORE_GPU))));
//TODO: fix this backend to allow ConcatVertVec ConcatHorVec
#if 0
INSTANTIATE_TEST_CASE_P(ConcatVertVecTestGPU, ConcatVertVecTest,
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(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(ConcatHorVecTestGPU, ConcatHorVecTest,
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(cv::compile_args(CORE_GPU))));
#endif
}

227
modules/gapi/test/gpu/gapi_imgproc_tests_gpu.cpp Normal file
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@ -0,0 +1,227 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_imgproc_tests.hpp"
#include "opencv2/gapi/gpu/imgproc.hpp"
#define IMGPROC_GPU cv::gapi::imgproc::gpu::kernels()
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(Filter2DTestGPU, Filter2DTest,
Combine(Values(AbsTolerance_Float_Int(1e-5, 1e-3).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 4, 5, 7),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(cv::BORDER_DEFAULT),
Values(-1, CV_32F),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BoxFilterTestGPU, BoxFilterTest,
Combine(Values(AbsTolerance_Float_Int(1e-5, 1e-3).to_compare_f()),
Values(/*CV_8UC1,*/ CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3,5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(cv::BORDER_DEFAULT),
Values(-1, CV_32F),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU)))); //TODO: 8UC1 doesn't work
INSTANTIATE_TEST_CASE_P(SepFilterTestGPU_8U, SepFilterTest,
Combine(Values(AbsToleranceSepFilter(1e-4f).to_compare_f()),
Values(CV_8UC1, CV_8UC3),
Values(3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_16S, CV_32F),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(SepFilterTestGPU_other, SepFilterTest,
Combine(Values(AbsToleranceSepFilter(1e-4f).to_compare_f()),
Values(CV_16UC1, CV_16SC1, CV_32FC1),
Values(3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_32F),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BlurTestGPU, BlurTest,
Combine(Values(AbsTolerance_Float_Int(1e-4, 1e-2).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3,5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(cv::BORDER_DEFAULT),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(gaussBlurTestGPU, GaussianBlurTest,
Combine(Values(AbsToleranceGaussianBlur_Float_Int(1e-5, 0.05).to_compare_f()), //TODO: too relaxed?
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(MedianBlurTestGPU, MedianBlurTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(ErodeTestGPU, ErodeTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(cv::MorphShapes::MORPH_RECT,
cv::MorphShapes::MORPH_CROSS,
cv::MorphShapes::MORPH_ELLIPSE),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(Erode3x3TestGPU, Erode3x3Test,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(1,2,4),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(DilateTestGPU, DilateTest,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(3, 5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(cv::MorphShapes::MORPH_RECT,
cv::MorphShapes::MORPH_CROSS,
cv::MorphShapes::MORPH_ELLIPSE),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(Dilate3x3TestGPU, Dilate3x3Test,
Combine(Values(AbsExact().to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(1,2,4),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(SobelTestGPU, SobelTest,
Combine(Values(AbsTolerance_Float_Int(1e-4, 1e-4).to_compare_f()),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1/*, CV_32FC1*/), //TODO: CV_32FC1 fails accuracy
Values(3, 5),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, 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(EqHistTestGPU, EqHistTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(CannyTestGPU, CannyTest,
Combine(Values(AbsTolerance_Float_Int(1e-4, 1e-2).to_compare_f()),
Values(CV_8UC1, CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(3.0, 120.0),
Values(125.0, 240.0),
Values(3, 5),
testing::Bool(),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(RGB2GrayTestGPU, RGB2GrayTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BGR2GrayTestGPU, BGR2GrayTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(RGB2YUVTestGPU, RGB2YUVTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(YUV2RGBTestGPU, YUV2RGBTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(RGB2LabTestGPU, RGB2LabTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BGR2LUVTestGPU, BGR2LUVTest,
Combine(Values(ToleranceTriple(0.25 * 3, 0.01 * 3, 0.0001 * 3).to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(LUV2BGRTestGPU, LUV2BGRTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(BGR2YUVTestGPU, BGR2YUVTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
INSTANTIATE_TEST_CASE_P(YUV2BGRTestGPU, YUV2BGRTest,
Combine(Values(AbsExact().to_compare_f()),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(IMGPROC_GPU))));
} // opencv_test

72
modules/gapi/test/gpu/gapi_operators_tests_gpu.cpp Normal file
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@ -0,0 +1,72 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_operators_tests.hpp"
#include "opencv2/gapi/gpu/core.hpp"
#define CORE_GPU cv::gapi::core::gpu::kernels()
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(MathOperatorTestGPU, MathOperatorMatMatTest,
Combine(Values(AbsTolerance_Float_Int(1e-5, 1e-3).to_compare_f()),
Values( opPlusM, opMinusM, opDivM,
opGreater, opLess, opGreaterEq, opLessEq, opEq, opNotEq),
Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(MathOperatorTestGPU, MathOperatorMatScalarTest,
Combine(Values(AbsTolerance_Float_Int(1e-4, 1e-2).to_compare_f()),
Values( opPlus, opPlusR, opMinus, opMinusR, opMul, opMulR, opDiv, opDivR,
opGT, opLT, opGE, opLE, opEQ, opNE,
opGTR, opLTR, opGER, opLER, opEQR, opNER),
Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestGPU, MathOperatorMatMatTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opAnd, opOr, opXor ),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestGPU, MathOperatorMatScalarTest,
Combine(Values(AbsExact().to_compare_f()),
Values( opAND, opOR, opXOR, opANDR, opORR, opXORR ),
Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(BitwiseNotOperatorTestGPU, NotOperatorTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
/*init output matrices or not*/ testing::Bool(),
Values(cv::compile_args(CORE_GPU))));
}

1
modules/gapi/test/test_precomp.hpp
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@ -18,6 +18,7 @@
#include "opencv2/gapi/imgproc.hpp"
#include "opencv2/gapi/core.hpp"
#include "opencv2/gapi/cpu/gcpukernel.hpp"
#include "opencv2/gapi/gpu/ggpukernel.hpp"
#include "opencv2/gapi/gcompoundkernel.hpp"
#include "opencv2/gapi/operators.hpp"