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