mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
183 lines
4.6 KiB
183 lines
4.6 KiB
// 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) 2019 Intel Corporation |
|
|
|
#include <tuple> |
|
|
|
#include "test_precomp.hpp" |
|
#include "opencv2/gapi/gtransform.hpp" |
|
|
|
namespace opencv_test |
|
{ |
|
|
|
namespace |
|
{ |
|
using GMat = cv::GMat; |
|
using GMat2 = std::tuple<GMat, GMat>; |
|
using GMat3 = std::tuple<GMat, GMat, GMat>; |
|
using GScalar = cv::GScalar; |
|
template <typename T> using GArray = cv::GArray<T>; |
|
|
|
GAPI_TRANSFORM(gmat_in_gmat_out, <GMat(GMat)>, "gmat_in_gmat_out") |
|
{ |
|
static GMat pattern(GMat) { return {}; } |
|
static GMat substitute(GMat) { return {}; } |
|
}; |
|
|
|
GAPI_TRANSFORM(gmat2_in_gmat_out, <GMat(GMat, GMat)>, "gmat2_in_gmat_out") |
|
{ |
|
static GMat pattern(GMat, GMat) { return {}; } |
|
static GMat substitute(GMat, GMat) { return {}; } |
|
}; |
|
|
|
GAPI_TRANSFORM(gmat2_in_gmat3_out, <GMat3(GMat, GMat)>, "gmat2_in_gmat3_out") |
|
{ |
|
static GMat3 pattern(GMat, GMat) { return {}; } |
|
static GMat3 substitute(GMat, GMat) { return {}; } |
|
}; |
|
|
|
GAPI_TRANSFORM(gmatp_in_gmatp_out, <GMatP(GMatP)>, "gmatp_in_gmatp_out") |
|
{ |
|
static GMatP pattern(GMatP) { return {}; } |
|
static GMatP substitute(GMatP) { return {}; } |
|
}; |
|
|
|
GAPI_TRANSFORM(gsc_in_gmat_out, <GMat(GScalar)>, "gsc_in_gmat_out") |
|
{ |
|
static GMat pattern(GScalar) { return {}; } |
|
static GMat substitute(GScalar) { return {}; } |
|
}; |
|
|
|
GAPI_TRANSFORM(gmat_in_gsc_out, <GScalar(GMat)>, "gmat_in_gsc_out") |
|
{ |
|
static GScalar pattern(GMat) { return {}; } |
|
static GScalar substitute(GMat) { return {}; } |
|
}; |
|
|
|
GAPI_TRANSFORM(garr_in_gmat_out, <GMat(GArray<int>)>, "garr_in_gmat_out") |
|
{ |
|
static GMat pattern(GArray<int>) { return {}; } |
|
static GMat substitute(GArray<int>) { return {}; } |
|
}; |
|
|
|
GAPI_TRANSFORM(gmat_in_garr_out, <GArray<int>(GMat)>, "gmat_in_garr_out") |
|
{ |
|
static GArray<int> pattern(GMat) { return {}; } |
|
static GArray<int> substitute(GMat) { return {}; } |
|
}; |
|
|
|
} // anonymous namespace |
|
|
|
TEST(KernelPackageTransform, CreatePackage) |
|
{ |
|
auto pkg = cv::gapi::kernels |
|
< gmat_in_gmat_out |
|
, gmat2_in_gmat_out |
|
, gmat2_in_gmat3_out |
|
, gsc_in_gmat_out |
|
, gmat_in_gsc_out |
|
>(); |
|
|
|
auto tr = pkg.get_transformations(); |
|
EXPECT_EQ(5u, tr.size()); |
|
} |
|
|
|
TEST(KernelPackageTransform, Include) |
|
{ |
|
cv::gapi::GKernelPackage pkg; |
|
pkg.include<gmat_in_gmat_out>(); |
|
pkg.include<gmat2_in_gmat_out>(); |
|
pkg.include<gmat2_in_gmat3_out>(); |
|
auto tr = pkg.get_transformations(); |
|
EXPECT_EQ(3u, tr.size()); |
|
} |
|
|
|
TEST(KernelPackageTransform, Combine) |
|
{ |
|
auto pkg1 = cv::gapi::kernels<gmat_in_gmat_out>(); |
|
auto pkg2 = cv::gapi::kernels<gmat2_in_gmat_out>(); |
|
auto pkg_comb = cv::gapi::combine(pkg1, pkg2); |
|
auto tr = pkg_comb.get_transformations(); |
|
EXPECT_EQ(2u, tr.size()); |
|
} |
|
|
|
TEST(KernelPackageTransform, Pattern) |
|
{ |
|
auto tr = gmat2_in_gmat3_out::transformation(); |
|
GMat a, b; |
|
auto pattern = tr.pattern({cv::GArg(a), cv::GArg(b)}); |
|
|
|
// return type of '2gmat_in_gmat3_out' is GMat3 |
|
EXPECT_EQ(3u, pattern.size()); |
|
for (const auto& p : pattern) |
|
{ |
|
EXPECT_NO_THROW(p.get<GMat>()); |
|
} |
|
} |
|
|
|
TEST(KernelPackageTransform, Substitute) |
|
{ |
|
auto tr = gmat2_in_gmat3_out::transformation(); |
|
GMat a, b; |
|
auto subst = tr.substitute({cv::GArg(a), cv::GArg(b)}); |
|
|
|
EXPECT_EQ(3u, subst.size()); |
|
for (const auto& s : subst) |
|
{ |
|
EXPECT_NO_THROW(s.get<GMat>()); |
|
} |
|
} |
|
|
|
template <typename Transformation, typename InType, typename OutType> |
|
static void transformTest() |
|
{ |
|
auto tr = Transformation::transformation(); |
|
InType in; |
|
auto pattern = tr.pattern({cv::GArg(in)}); |
|
auto subst = tr.substitute({cv::GArg(in)}); |
|
|
|
EXPECT_EQ(1u, pattern.size()); |
|
EXPECT_EQ(1u, subst.size()); |
|
|
|
auto checkOut = [](GArg& garg) { |
|
EXPECT_TRUE(garg.kind == cv::detail::GTypeTraits<OutType>::kind); |
|
EXPECT_NO_THROW(garg.get<OutType>()); |
|
}; |
|
|
|
checkOut(pattern[0]); |
|
checkOut(subst[0]); |
|
} |
|
|
|
TEST(KernelPackageTransform, GMat) |
|
{ |
|
transformTest<gmat_in_gmat_out, GMat, GMat>(); |
|
} |
|
|
|
TEST(KernelPackageTransform, GMatP) |
|
{ |
|
transformTest<gmatp_in_gmatp_out, GMatP, GMatP>(); |
|
} |
|
|
|
TEST(KernelPackageTransform, GScalarIn) |
|
{ |
|
transformTest<gsc_in_gmat_out, GScalar, GMat>(); |
|
} |
|
|
|
TEST(KernelPackageTransform, GScalarOut) |
|
{ |
|
transformTest<gmat_in_gsc_out, GMat, GScalar>(); |
|
} |
|
|
|
TEST(KernelPackageTransform, DISABLED_GArrayIn) |
|
{ |
|
transformTest<garr_in_gmat_out, GArray<int>, GMat>(); |
|
} |
|
|
|
TEST(KernelPackageTransform, DISABLED_GArrayOut) |
|
{ |
|
transformTest<gmat_in_garr_out, GMat, GArray<int>>(); |
|
} |
|
|
|
} // namespace opencv_test
|
|
|