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https://github.com/opencv/opencv.git
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2c6ab65476
* Update G-API code base to 27-Sep-18 Changes mostly improve standalone build support * G-API code base update 28-09-2018 * Windows/Documentation warnings should be fixed * Fixed stability issues in Fluid backend * Fixed precompiled headers issues in G-API source files * G-API code base update 28-09-18 EOD * Fixed several static analysis issues * Fixed issues found when G-API is built in a standalone mode
388 lines
11 KiB
C++
388 lines
11 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) 2018 Intel Corporation
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#include "test_precomp.hpp"
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#include "opencv2/gapi/own/mat.hpp"
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#include <opencv2/gapi/util/compiler_hints.hpp> //suppress_unused_warning
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namespace opencv_test
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{
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using Mat = cv::gapi::own::Mat;
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TEST(OwnMat, DefaultConstruction)
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{
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Mat m;
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ASSERT_EQ(m.data, nullptr);
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ASSERT_EQ(m.cols, 0);
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ASSERT_EQ(m.rows, 0);
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ASSERT_EQ(m.cols, 0);
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ASSERT_EQ(m.type(), 0);
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ASSERT_EQ(m.depth(), 0);
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}
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TEST(OwnMat, Create)
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{
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auto size = cv::gapi::own::Size{32,16};
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Mat m;
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m.create(size, CV_8UC1);
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ASSERT_NE(m.data, nullptr);
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ASSERT_EQ((cv::gapi::own::Size{m.cols, m.rows}), size);
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ASSERT_EQ(m.total(), static_cast<size_t>(size.height*size.width));
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ASSERT_EQ(m.type(), CV_8UC1);
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ASSERT_EQ(m.depth(), CV_8U);
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ASSERT_EQ(m.channels(), 1);
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ASSERT_EQ(m.elemSize(), sizeof(uint8_t));
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ASSERT_EQ(m.step, sizeof(uint8_t) * m.cols);
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}
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TEST(OwnMat, CreateOverload)
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{
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auto size = cv::gapi::own::Size{32,16};
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Mat m;
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m.create(size.height,size.width, CV_8UC1);
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ASSERT_NE(m.data, nullptr);
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ASSERT_EQ((cv::Size{m.cols, m.rows}), size);
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ASSERT_EQ(m.total(), static_cast<size_t>(size.height*size.width));
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ASSERT_EQ(m.type(), CV_8UC1);
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ASSERT_EQ(m.depth(), CV_8U);
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ASSERT_EQ(m.channels(), 1);
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ASSERT_EQ(m.elemSize(), sizeof(uint8_t));
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ASSERT_EQ(m.step, sizeof(uint8_t) * m.cols);
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}
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TEST(OwnMat, Create3chan)
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{
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auto size = cv::Size{32,16};
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Mat m;
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m.create(size, CV_8UC3);
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ASSERT_NE(m.data, nullptr);
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ASSERT_EQ((cv::Size{m.cols, m.rows}), size);
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ASSERT_EQ(m.type(), CV_8UC3);
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ASSERT_EQ(m.depth(), CV_8U);
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ASSERT_EQ(m.channels(), 3);
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ASSERT_EQ(m.elemSize(), 3 * sizeof(uint8_t));
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ASSERT_EQ(m.step, 3* sizeof(uint8_t) * m.cols);
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}
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struct NonEmptyMat {
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cv::gapi::own::Size size{32,16};
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Mat m;
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NonEmptyMat() {
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m.create(size, CV_8UC1);
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}
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};
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struct OwnMatSharedSemantics : NonEmptyMat, ::testing::Test {};
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namespace {
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auto state_of = [](Mat const& mat) {
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return std::make_tuple(
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mat.data,
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cv::Size{mat.cols, mat.rows},
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mat.type(),
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mat.depth(),
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mat.channels()
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);
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};
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void ensure_mats_are_same(Mat const& copy, Mat const& m){
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EXPECT_NE(copy.data, nullptr);
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EXPECT_EQ(state_of(copy), state_of(m));
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}
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}
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TEST_F(OwnMatSharedSemantics, CopyConstruction)
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{
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Mat copy(m);
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ensure_mats_are_same(copy, m);
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}
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TEST_F(OwnMatSharedSemantics, CopyAssignment)
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{
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Mat copy;
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copy = m;
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ensure_mats_are_same(copy, m);
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}
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struct OwnMatMoveSemantics : NonEmptyMat, ::testing::Test {
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Mat& moved_from = m;
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decltype(state_of(moved_from)) initial_state = state_of(moved_from);
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void ensure_state_moved_to(Mat const& moved_to)
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{
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EXPECT_EQ(state_of(moved_to), initial_state);
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EXPECT_EQ(state_of(moved_from), state_of(Mat{}));
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}
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};
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TEST_F(OwnMatMoveSemantics, MoveConstruction)
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{
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Mat moved_to(std::move(moved_from));
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ensure_state_moved_to(moved_to);
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}
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TEST_F(OwnMatMoveSemantics, MoveAssignment)
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{
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Mat moved_to(std::move(moved_from));
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ensure_state_moved_to(moved_to);
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}
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struct OwnMatNonOwningView : NonEmptyMat, ::testing::Test {
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decltype(state_of(m)) initial_state = state_of(m);
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void TearDown() override {
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EXPECT_EQ(state_of(m), initial_state)<<"State of the source matrix changed?";
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//ASAN should complain here if memory is freed here (e.g. by bug in non owning logic of own::Mat)
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volatile uchar dummy = m.data[0];
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cv::util::suppress_unused_warning(dummy);
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}
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};
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TEST_F(OwnMatNonOwningView, Construction)
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{
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Mat non_owning_view(m.rows, m.cols, m.type(), static_cast<void*>(m.data));
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ensure_mats_are_same(non_owning_view, m);
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}
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TEST_F(OwnMatNonOwningView, CopyConstruction)
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{
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Mat non_owning_view{m.rows, m.cols, m.type(), static_cast<void*>(m.data)};
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Mat non_owning_view_copy = non_owning_view;
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ensure_mats_are_same(non_owning_view_copy, m);
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}
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TEST_F(OwnMatNonOwningView, Assignment)
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{
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Mat non_owning_view{m.rows, m.cols, m.type(), static_cast<void*>(m.data)};
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Mat non_owning_view_copy;
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non_owning_view_copy = non_owning_view;
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ensure_mats_are_same(non_owning_view_copy, m);
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}
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TEST(OwnMatConversion, WithStep)
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{
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constexpr int width = 8;
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constexpr int height = 8;
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constexpr int stepInPixels = 16;
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std::array<int, height * stepInPixels> data;
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for (size_t i = 0; i < data.size(); i++)
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{
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data[i] = static_cast<int>(i);
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}
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cv::Mat cvMat(cv::Size{width, height}, CV_32S, data.data(), stepInPixels * sizeof(int));
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auto ownMat = to_own(cvMat);
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auto cvMatFromOwn = cv::gapi::own::to_ocv(ownMat);
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EXPECT_EQ(0, cv::countNonZero(cvMat != cvMatFromOwn))
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<< cvMat << std::endl
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<< (cvMat != cvMatFromOwn);
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}
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TEST(OwnMat, PtrWithStep)
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{
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constexpr int width = 8;
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constexpr int height = 8;
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constexpr int stepInPixels = 16;
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std::array<int, height * stepInPixels> data;
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for (size_t i = 0; i < data.size(); i++)
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{
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data[i] = static_cast<int>(i);
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}
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Mat mat(height, width, CV_32S, data.data(), stepInPixels * sizeof(int));
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EXPECT_EQ(& data[0], reinterpret_cast<int*>(mat.ptr(0)));
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EXPECT_EQ(& data[1], reinterpret_cast<int*>(mat.ptr(0, 1)));
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EXPECT_EQ(& data[stepInPixels], reinterpret_cast<int*>(mat.ptr(1)));
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EXPECT_EQ(& data[stepInPixels +1], reinterpret_cast<int*>(mat.ptr(1,1)));
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auto const& cmat = mat;
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EXPECT_EQ(& data[0], reinterpret_cast<const int*>(cmat.ptr(0)));
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EXPECT_EQ(& data[1], reinterpret_cast<const int*>(cmat.ptr(0, 1)));
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EXPECT_EQ(& data[stepInPixels], reinterpret_cast<const int*>(cmat.ptr(1)));
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EXPECT_EQ(& data[stepInPixels +1], reinterpret_cast<const int*>(cmat.ptr(1,1)));
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}
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TEST(OwnMat, CopyToWithStep)
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{
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constexpr int width = 8;
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constexpr int height = 8;
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constexpr int stepInPixels = 16;
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std::array<int, height * stepInPixels> data;
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for (size_t i = 0; i < data.size(); i++)
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{
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data[i] = static_cast<int>(i);
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}
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Mat mat(height, width, CV_32S, data.data(), stepInPixels * sizeof(int));
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Mat dst;
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mat.copyTo(dst);
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EXPECT_NE(mat.data, dst.data);
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EXPECT_EQ(0, cv::countNonZero(to_ocv(mat) != to_ocv(dst)))
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<< to_ocv(mat) << std::endl
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<< (to_ocv(mat) != to_ocv(dst));
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}
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TEST(OwnMat, ScalarAssign32SC1)
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{
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constexpr int width = 8;
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constexpr int height = 8;
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constexpr int stepInPixels = 16;
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std::array<int, height * stepInPixels> data;
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for (size_t i = 0; i < data.size(); i++)
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{
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data[i] = static_cast<int>(i);
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}
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Mat mat(height, width, CV_32S, data.data(), stepInPixels * sizeof(data[0]));
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mat = cv::gapi::own::Scalar{-1};
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std::array<int, height * stepInPixels> expected;
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for (size_t row = 0; row < height; row++)
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{
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for (size_t col = 0; col < stepInPixels; col++)
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{
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auto index = row*stepInPixels + col;
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expected[index] = col < width ? -1 : static_cast<int>(index);
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}
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}
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auto cmp_result_mat = (cv::Mat{height, stepInPixels, CV_32S, data.data()} != cv::Mat{height, stepInPixels, CV_32S, expected.data()});
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EXPECT_EQ(0, cv::countNonZero(cmp_result_mat))
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<< cmp_result_mat << std::endl;
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}
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TEST(OwnMat, ScalarAssign8UC1)
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{
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constexpr int width = 8;
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constexpr int height = 8;
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constexpr int stepInPixels = 16;
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std::array<uchar, height * stepInPixels> data;
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for (size_t i = 0; i < data.size(); i++)
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{
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data[i] = static_cast<uchar>(i);
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}
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Mat mat(height, width, CV_8U, data.data(), stepInPixels * sizeof(data[0]));
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mat = cv::gapi::own::Scalar{-1};
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std::array<uchar, height * stepInPixels> expected;
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for (size_t row = 0; row < height; row++)
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{
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for (size_t col = 0; col < stepInPixels; col++)
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{
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auto index = row*stepInPixels + col;
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expected[index] = col < width ? cv::saturate_cast<uchar>(-1) : static_cast<uchar>(index);
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}
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}
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auto cmp_result_mat = (cv::Mat{height, stepInPixels, CV_8U, data.data()} != cv::Mat{height, stepInPixels, CV_8U, expected.data()});
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EXPECT_EQ(0, cv::countNonZero(cmp_result_mat))
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<< cmp_result_mat << std::endl;
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}
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TEST(OwnMat, ScalarAssign8UC3)
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{
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constexpr auto cv_type = CV_8SC3;
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constexpr int channels = 3;
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constexpr int width = 8;
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constexpr int height = 8;
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constexpr int stepInPixels = 16;
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std::array<schar, height * stepInPixels * channels> data;
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for (size_t i = 0; i < data.size(); i+= channels)
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{
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data[i + 0] = static_cast<schar>(10 * i + 0);
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data[i + 1] = static_cast<schar>(10 * i + 1);
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data[i + 2] = static_cast<schar>(10 * i + 2);
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}
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Mat mat(height, width, cv_type, data.data(), channels * stepInPixels * sizeof(data[0]));
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mat = cv::gapi::own::Scalar{-10, -11, -12};
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std::array<schar, data.size()> expected;
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for (size_t row = 0; row < height; row++)
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{
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for (size_t col = 0; col < stepInPixels; col++)
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{
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int index = static_cast<int>(channels * (row*stepInPixels + col));
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expected[index + 0] = static_cast<schar>(col < width ? -10 : 10 * index + 0);
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expected[index + 1] = static_cast<schar>(col < width ? -11 : 10 * index + 1);
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expected[index + 2] = static_cast<schar>(col < width ? -12 : 10 * index + 2);
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}
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}
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auto cmp_result_mat = (cv::Mat{height, stepInPixels, cv_type, data.data()} != cv::Mat{height, stepInPixels, cv_type, expected.data()});
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EXPECT_EQ(0, cv::countNonZero(cmp_result_mat))
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<< cmp_result_mat << std::endl
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<< "data : " << std::endl
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<< cv::Mat{height, stepInPixels, cv_type, data.data()} << std::endl
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<< "expected : " << std::endl
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<< cv::Mat{height, stepInPixels, cv_type, expected.data()} << std::endl;
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}
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TEST(OwnMat, ROIView)
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{
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constexpr int width = 8;
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constexpr int height = 8;
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constexpr int stepInPixels = 16;
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std::array<uchar, height * stepInPixels> data;
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for (size_t i = 0; i < data.size(); i++)
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{
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data[i] = static_cast<uchar>(i);
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}
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// std::cout<<cv::Mat{height, stepInPixels, CV_8U, data.data()}<<std::endl;
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std::array<uchar, 4 * 4> expected;
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for (size_t row = 0; row < 4; row++)
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{
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for (size_t col = 0; col < 4; col++)
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{
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expected[row*4 +col] = static_cast<uchar>(stepInPixels * (2 + row) + 2 + col);
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}
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}
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Mat mat(height, width, CV_8U, data.data(), stepInPixels * sizeof(data[0]));
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Mat roi_view (mat, cv::gapi::own::Rect{2,2,4,4});
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// std::cout<<cv::Mat{4, 4, CV_8U, expected.data()}<<std::endl;
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//
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auto expected_cv_mat = cv::Mat{4, 4, CV_8U, expected.data()};
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auto cmp_result_mat = (to_ocv(roi_view) != expected_cv_mat);
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EXPECT_EQ(0, cv::countNonZero(cmp_result_mat))
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<< cmp_result_mat << std::endl
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<< to_ocv(roi_view) << std::endl
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<< expected_cv_mat << std::endl;
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}
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} // namespace opencv_test
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