opencv/modules/gapi/test/gapi_gcomputation_tests.cpp
Anatoliy Talamanov eb82ba36a3
Merge pull request from TolyaTalamanov:at/python-callbacks
[G-API] Introduce cv.gin/cv.descr_of for python

* Implement cv.gin/cv.descr_of

* Fix macos build

* Fix gcomputation tests

* Add test

* Add using to a void exceeded length for windows build

* Add using to a void exceeded length for windows build

* Fix comments to review

* Fix comments to review

* Update from latest master

* Avoid graph compilation to obtain in/out info

* Fix indentation

* Fix comments to review

* Avoid using default in switches

* Post output meta for giebackend
2021-03-01 15:52:11 +00:00

197 lines
6.2 KiB
C++

// 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 <opencv2/gapi/s11n.hpp>
#include <opencv2/gapi/cpu/gcpukernel.hpp>
#include <ade/util/zip_range.hpp>
namespace opencv_test
{
namespace
{
G_TYPED_KERNEL(CustomResize, <cv::GMat(cv::GMat, cv::Size, double, double, int)>, "org.opencv.customk.resize")
{
static cv::GMatDesc outMeta(cv::GMatDesc in, cv::Size sz, double fx, double fy, int) {
if (sz.width != 0 && sz.height != 0)
{
return in.withSize(sz);
}
else
{
GAPI_Assert(fx != 0. && fy != 0.);
return in.withSize
(cv::Size(static_cast<int>(std::round(in.size.width * fx)),
static_cast<int>(std::round(in.size.height * fy))));
}
}
};
GAPI_OCV_KERNEL(CustomResizeImpl, CustomResize)
{
static void run(const cv::Mat& in, cv::Size sz, double fx, double fy, int interp, cv::Mat &out)
{
cv::resize(in, out, sz, fx, fy, interp);
}
};
struct GComputationApplyTest: public ::testing::Test
{
cv::GMat in;
cv::Mat in_mat;
cv::Mat out_mat;
cv::GComputation m_c;
GComputationApplyTest() : in_mat(300, 300, CV_8UC1),
m_c(cv::GIn(in), cv::GOut(CustomResize::on(in, cv::Size(100, 100),
0.0, 0.0, cv::INTER_LINEAR)))
{
}
};
struct GComputationVectorMatsAsOutput: public ::testing::Test
{
cv::Mat in_mat;
cv::GComputation m_c;
std::vector<cv::Mat> ref_mats;
GComputationVectorMatsAsOutput() : in_mat(300, 300, CV_8UC3),
m_c([&](){
cv::GMat in;
cv::GMat out[3];
std::tie(out[0], out[1], out[2]) = cv::gapi::split3(in);
return cv::GComputation({in}, {out[0], out[1], out[2]});
})
{
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar::all(255));
cv::split(in_mat, ref_mats);
}
void run(std::vector<cv::Mat>& out_mats)
{
m_c.apply({in_mat}, out_mats);
}
void check(const std::vector<cv::Mat>& out_mats)
{
for (const auto it : ade::util::zip(ref_mats, out_mats))
{
const auto& ref_mat = std::get<0>(it);
const auto& out_mat = std::get<1>(it);
EXPECT_EQ(0, cvtest::norm(ref_mat, out_mat, NORM_INF));
}
}
};
struct GComputationPythonApplyTest: public ::testing::Test
{
cv::Size sz;
MatType type;
cv::Mat in_mat1, in_mat2, out_mat_ocv;
cv::GComputation m_c;
GComputationPythonApplyTest() : sz(cv::Size(300,300)), type(CV_8UC1),
in_mat1(sz, type), in_mat2(sz, type), out_mat_ocv(sz, type),
m_c([&](){
cv::GMat in1, in2;
cv::GMat out = in1 + in2;
return cv::GComputation(cv::GIn(in1, in2), cv::GOut(out));
})
{
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
out_mat_ocv = in_mat1 + in_mat2;
}
};
}
TEST_F(GComputationPythonApplyTest, WithoutSerialization)
{
auto output = m_c.apply(cv::detail::ExtractArgsCallback{[this](const cv::GTypesInfo& info)
{
GAPI_Assert(info[0].shape == cv::GShape::GMAT);
GAPI_Assert(info[1].shape == cv::GShape::GMAT);
return cv::GRunArgs{in_mat1, in_mat2};
}
});
EXPECT_EQ(1u, output.size());
const auto& out_mat_gapi = cv::util::get<cv::Mat>(output[0]);
EXPECT_EQ(0, cvtest::norm(out_mat_ocv, out_mat_gapi, NORM_INF));
}
TEST_F(GComputationPythonApplyTest, WithSerialization)
{
auto p = cv::gapi::serialize(m_c);
auto c = cv::gapi::deserialize<cv::GComputation>(p);
auto output = c.apply(cv::detail::ExtractArgsCallback{[this](const cv::GTypesInfo& info)
{
GAPI_Assert(info[0].shape == cv::GShape::GMAT);
GAPI_Assert(info[1].shape == cv::GShape::GMAT);
return cv::GRunArgs{in_mat1, in_mat2};
}
});
EXPECT_EQ(1u, output.size());
const auto& out_mat_gapi = cv::util::get<cv::Mat>(output[0]);
EXPECT_EQ(0, cvtest::norm(out_mat_ocv, out_mat_gapi, NORM_INF));
}
TEST_F(GComputationApplyTest, ThrowDontPassCustomKernel)
{
EXPECT_THROW(m_c.apply(in_mat, out_mat), std::logic_error);
}
TEST_F(GComputationApplyTest, NoThrowPassCustomKernel)
{
const auto pkg = cv::gapi::kernels<CustomResizeImpl>();
ASSERT_NO_THROW(m_c.apply(in_mat, out_mat, cv::compile_args(pkg)));
}
TEST_F(GComputationVectorMatsAsOutput, OutputAllocated)
{
std::vector<cv::Mat> out_mats(3);
for (auto& out_mat : out_mats)
{
out_mat.create(in_mat.size(), CV_8UC1);
}
run(out_mats);
check(out_mats);
}
TEST_F(GComputationVectorMatsAsOutput, OutputNotAllocated)
{
std::vector<cv::Mat> out_mats(3);
run(out_mats);
check(out_mats);
}
TEST_F(GComputationVectorMatsAsOutput, OutputAllocatedWithInvalidMeta)
{
std::vector<cv::Mat> out_mats(3);
for (auto& out_mat : out_mats)
{
out_mat.create(in_mat.size() / 2, CV_8UC1);
}
run(out_mats);
check(out_mats);
}
} // namespace opencv_test