mirror of
https://github.com/opencv/opencv.git
synced 2024-12-14 17:29:17 +08:00
eb82ba36a3
[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
197 lines
6.2 KiB
C++
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
|