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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) 2020 Intel Corporation
#include "../test_precomp.hpp"
#include <opencv2/gapi/rmat.hpp>
#include "rmat_test_common.hpp"
namespace opencv_test {
namespace {
void randomizeMat(cv::Mat& m) {
auto ref = m.clone();
while (cv::norm(m, ref, cv::NORM_INF) == 0) {
cv::randu(m, cv::Scalar::all(127), cv::Scalar::all(40));
}
}
template <typename RMatAdapterT>
struct RMatTest {
using AdapterT = RMatAdapterT;
RMatTest()
: m_deviceMat(cv::Mat::zeros(8,8,CV_8UC1))
, m_rmat(make_rmat<RMatAdapterT>(m_deviceMat, m_callbackCalled)) {
randomizeMat(m_deviceMat);
expectNoCallbackCalled();
}
RMat& rmat() { return m_rmat; }
cv::Mat cloneDeviceMat() { return m_deviceMat.clone(); }
void expectCallbackCalled() { EXPECT_TRUE(m_callbackCalled); }
void expectNoCallbackCalled() { EXPECT_FALSE(m_callbackCalled); }
void expectDeviceDataEqual(const cv::Mat& mat) {
EXPECT_EQ(0, cv::norm(mat, m_deviceMat, NORM_INF));
}
void expectDeviceDataNotEqual(const cv::Mat& mat) {
EXPECT_NE(0, cv::norm(mat, m_deviceMat, NORM_INF));
}
private:
cv::Mat m_deviceMat;
bool m_callbackCalled = false;
cv::RMat m_rmat;
};
} // anonymous namespace
template<typename T>
struct RMatTypedTest : public ::testing::Test, public T { using Type = T; };
using RMatTestTypes = ::testing::Types< RMatTest<RMatAdapterRef>
, RMatTest<RMatAdapterCopy>
>;
TYPED_TEST_CASE(RMatTypedTest, RMatTestTypes);
TYPED_TEST(RMatTypedTest, Smoke) {
auto view = this->rmat().access(RMat::Access::R);
auto matFromDevice = cv::Mat(view.size(), view.type(), view.ptr());
EXPECT_TRUE(cv::descr_of(this->cloneDeviceMat()) == this->rmat().desc());
this->expectDeviceDataEqual(matFromDevice);
}
static Mat asMat(RMat::View& view) {
return Mat(view.size(), view.type(), view.ptr(), view.step());
}
TYPED_TEST(RMatTypedTest, BasicWorkflow) {
{
auto view = this->rmat().access(RMat::Access::R);
this->expectDeviceDataEqual(asMat(view));
}
this->expectNoCallbackCalled();
cv::Mat dataToWrite = this->cloneDeviceMat();
randomizeMat(dataToWrite);
this->expectDeviceDataNotEqual(dataToWrite);
{
auto view = this->rmat().access(RMat::Access::W);
dataToWrite.copyTo(asMat(view));
}
this->expectCallbackCalled();
this->expectDeviceDataEqual(dataToWrite);
}
TEST(RMat, TestEmptyAdapter) {
RMat rmat;
EXPECT_ANY_THROW(rmat.get<RMatAdapterCopy>());
}
TYPED_TEST(RMatTypedTest, CorrectAdapterCast) {
using T = typename TestFixture::Type::AdapterT;
EXPECT_NE(nullptr, this->rmat().template get<T>());
}
class DummyAdapter : public RMat::Adapter {
virtual RMat::View access(RMat::Access) override { return {}; }
virtual cv::GMatDesc desc() const override { return {}; }
};
TYPED_TEST(RMatTypedTest, IncorrectAdapterCast) {
EXPECT_EQ(nullptr, this->rmat().template get<DummyAdapter>());
}
class RMatAdapterForBackend : public RMat::Adapter {
int m_i;
public:
RMatAdapterForBackend(int i) : m_i(i) {}
virtual RMat::View access(RMat::Access) override { return {}; }
virtual GMatDesc desc() const override { return {}; }
int deviceSpecificData() const { return m_i; }
};
// RMat's usage scenario in the backend:
// we have some specific data hidden under RMat,
// test that we can obtain it via RMat.as<T>() method
TEST(RMat, UsageInBackend) {
int i = 123456;
auto rmat = cv::make_rmat<RMatAdapterForBackend>(i);
auto adapter = rmat.get<RMatAdapterForBackend>();
ASSERT_NE(nullptr, adapter);
EXPECT_EQ(i, adapter->deviceSpecificData());
}
} // namespace opencv_test
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