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Merge pull request #12674 from dmatveev:gapi_upd270918
* 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
This commit is contained in:
committed by
Alexander Alekhin
parent
66fdddc339
commit
2c6ab65476
@@ -5,4 +5,5 @@
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// Copyright (C) 2018 Intel Corporation
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#include "test_precomp.hpp"
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#include "gapi_core_tests_inl.hpp"
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@@ -5,4 +5,5 @@
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// Copyright (C) 2018 Intel Corporation
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#include "test_precomp.hpp"
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#include "gapi_imgproc_tests_inl.hpp"
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@@ -5,4 +5,5 @@
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// Copyright (C) 2018 Intel Corporation
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#include "test_precomp.hpp"
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#include "gapi_operators_tests_inl.hpp"
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@@ -5,6 +5,7 @@
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// Copyright (C) 2018 Intel Corporation
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#include "test_precomp.hpp"
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#include "../common/gapi_operators_tests.hpp"
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#include "opencv2/gapi/cpu/core.hpp"
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@@ -50,7 +50,7 @@ TEST(FluidBuffer, InputTest)
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const cv::Size buffer_size = {8,8};
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cv::Mat in_mat = cv::Mat::eye(buffer_size, CV_8U);
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cv::gapi::fluid::Buffer buffer(in_mat, true);
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cv::gapi::fluid::Buffer buffer(to_own(in_mat), true);
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cv::gapi::fluid::View view = buffer.mkView(1, 0, {}, false);
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view.priv().reset(1);
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int this_y = 0;
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@@ -152,7 +152,7 @@ TEST(FluidBuffer, OutputTest)
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const cv::Size buffer_size = {8,16};
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cv::Mat out_mat = cv::Mat(buffer_size, CV_8U);
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cv::gapi::fluid::Buffer buffer(out_mat, false);
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cv::gapi::fluid::Buffer buffer(to_own(out_mat), false);
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int num_writes = 0;
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while (num_writes < buffer_size.height)
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{
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@@ -417,7 +417,7 @@ TEST(Fluid, MultipleReaders_DifferentLatency)
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EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
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}
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TEST(Fluid, DISABLED_MultipleOutputs)
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TEST(Fluid, MultipleOutputs)
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{
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// in -> AddC -> a -> AddC ------------------> out1
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// `--> Id7x7 --> b --> AddC -> out2
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@@ -464,7 +464,7 @@ TEST(Fluid, EmptyOutputMatTest)
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}
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struct LPISequenceTest : public TestWithParam<int>{};
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TEST_P(LPISequenceTest, DISABLED_LPISequenceTest)
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TEST_P(LPISequenceTest, LPISequenceTest)
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{
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// in -> AddC -> a -> Blur (2lpi) -> out
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@@ -4,6 +4,8 @@
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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 <iomanip>
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#include "gapi_fluid_test_kernels.hpp"
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#include <opencv2/gapi/core.hpp>
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@@ -33,12 +33,46 @@ TEST(OwnMat, Create)
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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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@@ -160,5 +194,194 @@ TEST(OwnMatConversion, WithStep)
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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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