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272 lines
8.4 KiB
C++
272 lines
8.4 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 <opencv2/gapi/util/compiler_hints.hpp>
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#include "../src/backends/common/gbackend.hpp"
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namespace opencv_test
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{
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using cv::GMatDesc;
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using View = cv::RMat::View;
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using cv::Mat;
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using cv::gimpl::asMat;
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using cv::gimpl::asView;
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using namespace ::testing;
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static void expect_eq_desc(const GMatDesc& desc, const View& view) {
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EXPECT_EQ(desc.size, view.size());
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EXPECT_EQ(desc.dims, view.dims());
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EXPECT_EQ(desc.size.width, view.cols());
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EXPECT_EQ(desc.size.height, view.rows());
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EXPECT_EQ(desc.depth, view.depth());
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EXPECT_EQ(desc.chan, view.chan());
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EXPECT_EQ(desc.depth, view.depth());
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EXPECT_EQ(desc.chan, view.chan());
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}
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TEST(RMatView, TestDefaultConstruction) {
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View view;
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GMatDesc desc{};
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expect_eq_desc(desc, view);
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EXPECT_EQ(nullptr, view.ptr());
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EXPECT_EQ(0u, view.step());
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}
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struct RMatViewTest : public TestWithParam<int /*dataType*/>{};
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TEST_P(RMatViewTest, ConstructionFromMat) {
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auto type = GetParam();
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Mat mat(8,8,type);
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const auto desc = cv::descr_of(mat);
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View view = asView(mat);
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expect_eq_desc(desc, view);
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EXPECT_EQ(mat.ptr(), view.ptr());
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EXPECT_EQ(mat.step, view.step());
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}
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TEST(RMatView, TestConstructionFromMatND) {
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std::vector<int> dims(4, 8);
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Mat mat(dims, CV_8UC1);
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const auto desc = cv::descr_of(mat);
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View view(cv::descr_of(mat), mat.ptr());
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expect_eq_desc(desc, view);
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EXPECT_EQ(mat.ptr(), view.ptr());
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}
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TEST_P(RMatViewTest, DefaultStep) {
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auto type = GetParam();
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GMatDesc desc;
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desc.chan = CV_MAT_CN(type);
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desc.depth = CV_MAT_DEPTH(type);
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desc.size = {8,8};
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std::vector<unsigned char> data(desc.size.width*desc.size.height*CV_ELEM_SIZE(type));
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View view(desc, data.data());
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EXPECT_EQ(static_cast<size_t>(desc.size.width)*CV_ELEM_SIZE(type), view.step());
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}
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struct RMatViewNDTest : public TestWithParam<
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std::tuple<int /*depth*/, int /*ndims*/>>{};
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TEST_P(RMatViewNDTest, DefaultStep) {
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int depth = 0, ndims = 0;
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std::tie(depth, ndims) = GetParam();
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std::vector<int> dims(ndims, 12);
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GMatDesc desc;
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desc.dims = dims;
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desc.depth = depth;
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GAPI_Assert(desc.chan == -1);
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auto elemSize = CV_ELEM_SIZE(depth);
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auto total = std::accumulate(dims.begin(), dims.end(), elemSize, std::multiplies<int>());
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std::vector<unsigned char> data(total);
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View view(desc, data.data());
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auto step = static_cast<size_t>(total/dims[0]);
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EXPECT_EQ(step, view.step(0));
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for (int i = 1; i < ndims; i++) {
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step /= dims[i];
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EXPECT_EQ(step, view.step(i));
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}
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}
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TEST_P(RMatViewNDTest, StepFromMat) {
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int depth = 0, ndims = 0;
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std::tie(depth, ndims) = GetParam();
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std::vector<int> dims(ndims, 12);
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cv::Mat mat(dims, depth);
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auto view = asView(mat);
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EXPECT_EQ(mat.ptr(), view.ptr());
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for (int i = 0; i < ndims; i++) {
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EXPECT_EQ(mat.step[i], view.step(i));
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}
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}
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TEST_P(RMatViewNDTest, StepFromView) {
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int depth = 0, ndims = 0;
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std::tie(depth, ndims) = GetParam();
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std::vector<int> dims(ndims, 12);
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std::vector<int> aligned(ndims, 16);
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GMatDesc desc;
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desc.dims = dims;
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desc.depth = depth;
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GAPI_Assert(desc.chan == -1);
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auto elemSize = CV_ELEM_SIZE(depth);
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auto total = std::accumulate(aligned.begin(), aligned.end(), elemSize, std::multiplies<int>());
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std::vector<unsigned char> data(total);
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View::stepsT steps(ndims);
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auto step = static_cast<size_t>(total/aligned[0]);
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steps[0] = step;
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for (int i = 1; i < ndims; i++) {
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step /= aligned[i];
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steps[i] = step;
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}
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View view(desc, data.data(), steps);
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auto mat = asMat(view);
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EXPECT_EQ(mat.ptr(), view.ptr());
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for (int i = 0; i < ndims; i++) {
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EXPECT_EQ(mat.step[i], view.step(i));
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}
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}
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INSTANTIATE_TEST_CASE_P(Test, RMatViewNDTest,
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Combine(Values(CV_8U, CV_32F), // depth
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Values(1,2,3,4,7))); // ndims
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struct RMatViewNDTestNegative : public TestWithParam<
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std::tuple<int /*depth*/, int /*chan*/, int /*ndims*/>>{};
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TEST_P(RMatViewNDTestNegative, DefaultStep) {
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int depth = 0, chan = 0, ndims = 0;
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std::tie(depth, chan, ndims) = GetParam();
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std::vector<int> dims(ndims, 12);
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GMatDesc desc;
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desc.dims = dims;
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desc.depth = depth;
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desc.chan = chan;
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auto elemSize = CV_ELEM_SIZE(depth);
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auto total = std::accumulate(dims.begin(), dims.end(), elemSize, std::multiplies<int>());
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std::vector<unsigned char> data(total);
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EXPECT_ANY_THROW(View view(desc, data.data()));
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}
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INSTANTIATE_TEST_CASE_P(Test, RMatViewNDTestNegative,
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Combine(Values(CV_8U, CV_32F), // depth
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Values(1,2,3,4), // chan
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Values(2,4,7))); // ndims
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TEST_P(RMatViewTest, NonDefaultStepInput) {
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auto type = GetParam();
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Mat bigMat(16,16,type);
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cv::randn(bigMat, cv::Scalar::all(127), cv::Scalar::all(40));
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Mat mat = bigMat(cv::Rect{4,4,8,8});
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View view = asView(mat);
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const auto viewMat = asMat(view);
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Mat ref, out;
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cv::Size ksize{1,1};
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cv::blur(viewMat, out, ksize);
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cv::blur( mat, ref, ksize);
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EXPECT_EQ(0, cvtest::norm(ref, out, NORM_INF));
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}
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TEST_P(RMatViewTest, NonDefaultStepOutput) {
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auto type = GetParam();
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Mat mat(8,8,type);
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cv::randn(mat, cv::Scalar::all(127), cv::Scalar::all(40));
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Mat bigMat = Mat::zeros(16,16,type);
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Mat out = bigMat(cv::Rect{4,4,8,8});
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View view = asView(out);
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auto viewMat = asMat(view);
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Mat ref;
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cv::Size ksize{1,1};
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cv::blur(mat, viewMat, ksize);
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cv::blur(mat, ref, ksize);
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EXPECT_EQ(0, cvtest::norm(ref, out, NORM_INF));
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}
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TEST_P(RMatViewTest, NonDefaultStep2DInput) {
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auto type = GetParam();
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Mat bigMat(16,16,type);
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cv::randn(bigMat, cv::Scalar::all(127), cv::Scalar::all(40));
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Mat mat = bigMat(cv::Rect{4,4,8,8});
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View view(cv::descr_of(mat), mat.data, mat.step);
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const auto viewMat = asMat(view);
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Mat ref, out;
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cv::Size ksize{1,1};
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cv::blur(viewMat, out, ksize);
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cv::blur( mat, ref, ksize);
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EXPECT_EQ(0, cvtest::norm(ref, out, NORM_INF));
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}
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TEST_P(RMatViewTest, NonDefaultStep2DOutput) {
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auto type = GetParam();
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Mat mat(8,8,type);
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cv::randn(mat, cv::Scalar::all(127), cv::Scalar::all(40));
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Mat bigMat = Mat::zeros(16,16,type);
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Mat out = bigMat(cv::Rect{4,4,8,8});
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View view(cv::descr_of(out), out.data, out.step);
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auto viewMat = asMat(view);
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Mat ref;
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cv::Size ksize{1,1};
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cv::blur(mat, viewMat, ksize);
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cv::blur(mat, ref, ksize);
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EXPECT_EQ(0, cvtest::norm(ref, out, NORM_INF));
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}
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INSTANTIATE_TEST_CASE_P(Test, RMatViewTest,
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Values(CV_8UC1, CV_8UC3, CV_32FC1));
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struct RMatViewCallbackTest : public ::testing::Test {
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RMatViewCallbackTest()
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: mat(8,8,CV_8UC1) {
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cv::randn(mat, cv::Scalar::all(127), cv::Scalar::all(40));
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}
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View getView() { return asView(mat, [this](){ callbackCalls++; }); }
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int callbackCalls = 0;
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Mat mat;
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};
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TEST_F(RMatViewCallbackTest, MoveCtor) {
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{
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View copy(getView());
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cv::util::suppress_unused_warning(copy);
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EXPECT_EQ(0, callbackCalls);
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}
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EXPECT_EQ(1, callbackCalls);
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}
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TEST_F(RMatViewCallbackTest, MoveCopy) {
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{
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View copy;
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copy = getView();
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cv::util::suppress_unused_warning(copy);
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EXPECT_EQ(0, callbackCalls);
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}
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EXPECT_EQ(1, callbackCalls);
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}
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static int firstElement(const View& view) { return *view.ptr(); }
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static void setFirstElement(View& view, uchar value) { *view.ptr() = value; }
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TEST_F(RMatViewCallbackTest, MagazineInteraction) {
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cv::gimpl::magazine::Class<View> mag;
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constexpr int rc = 1;
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constexpr uchar value = 11;
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mag.slot<View>()[rc] = getView();
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{
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auto& mag_view = mag.slot<View>()[rc];
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setFirstElement(mag_view, value);
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auto mag_el = firstElement(mag_view);
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EXPECT_EQ(value, mag_el);
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}
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{
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const auto& mag_view = mag.slot<View>()[rc];
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auto mag_el = firstElement(mag_view);
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EXPECT_EQ(value, mag_el);
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}
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EXPECT_EQ(0, callbackCalls);
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mag.slot<View>().erase(rc);
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EXPECT_EQ(1, callbackCalls);
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}
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} // namespace opencv_test
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