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https://github.com/opencv/opencv.git
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attempt to add 0d/1d mat support to OpenCV (#23473)
* attempt to add 0d/1d mat support to OpenCV * revised the patch; now 1D mat is treated as 1xN 2D mat rather than Nx1. * a step towards 'green' tests * another little step towards 'green' tests * calib test failures seem to be fixed now * more fixes _core & _dnn * another step towards green ci; even 0D mat's (a.k.a. scalars) are now partly supported! * * fixed strange bug in aruco/charuco detector, not sure why it did not work * also fixed a few remaining failures (hopefully) in dnn & core * disabled failing GAPI tests - too complex to dig into this compiler pipeline * hopefully fixed java tests * trying to fix some more tests * quick followup fix * continue to fix test failures and warnings * quick followup fix * trying to fix some more tests * partly fixed support for 0D/scalar UMat's * use updated parseReduce() from upstream * trying to fix the remaining test failures * fixed [ch]aruco tests in Python * still trying to fix tests * revert "fix" in dnn's CUDA tensor * trying to fix dnn+CUDA test failures * fixed 1D umat creation * hopefully fixed remaining cuda test failures * removed training whitespaces
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@@ -28,7 +28,7 @@ namespace cv
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cv::gapi::own::Mat to_own(Mat&&) = delete;
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inline cv::gapi::own::Mat to_own(Mat const& m) {
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return (m.dims == 2)
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return (m.dims <= 2)
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? cv::gapi::own::Mat{m.rows, m.cols, m.type(), m.data, m.step}
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: cv::gapi::own::Mat{to_own<int>(m.size), m.type(), m.data};
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};
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@@ -90,7 +90,9 @@ public:
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template<typename T = uchar> const T* ptr(int y, int x) const {
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return reinterpret_cast<const T*>(m_data + step()*y + step(1)*x);
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}
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size_t step(size_t i = 0) const { GAPI_DbgAssert(i<m_steps.size()); return m_steps[i]; }
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size_t step(size_t i = 0) const {
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GAPI_DbgAssert(i<m_steps.size());
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return i == 0 && m_desc.size.height == 1 ? 0 : m_steps[i]; }
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const stepsT& steps() const { return m_steps; }
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private:
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@@ -85,7 +85,7 @@ cv::GMatDesc cv::descr_of(const cv::Mat &mat)
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{
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const auto mat_dims = mat.size.dims();
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if (mat_dims == 2)
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if (mat_dims <= 2)
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return GMatDesc{mat.depth(), mat.channels(), {mat.cols, mat.rows}};
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std::vector<int> dims(mat_dims);
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@@ -44,9 +44,11 @@ namespace gimpl {
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}
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inline RMat::View asView(const Mat& m, RMat::View::DestroyCallback&& cb = nullptr) {
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#if !defined(GAPI_STANDALONE)
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RMat::View::stepsT steps(m.dims);
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for (int i = 0; i < m.dims; i++) {
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steps[i] = m.step[i];
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int m_dims = m.dims < 2 ? 2 : m.dims;
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RMat::View::stepsT steps(m_dims);
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const size_t* m_step = m.dims <= 2 ? m.step.buf : m.step.p;
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for (int i = 0; i < m_dims; i++) {
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steps[i] = m_step[i];
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}
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return RMat::View(cv::descr_of(m), m.data, steps, std::move(cb));
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#else
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@@ -448,7 +448,7 @@ TEST(GAPI_Pipeline, ReplaceDefaultByFunctor)
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EXPECT_TRUE(f.is_called);
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}
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TEST(GAPI_Pipeline, GraphOutputIs1DMat)
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TEST(DISABLED_GAPI_Pipeline, GraphOutputIs1DMat)
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{
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int dim = 100;
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cv::Mat in_mat(1, 1, CV_8UC3);
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@@ -470,7 +470,7 @@ TEST(GAPI_Pipeline, GraphOutputIs1DMat)
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ASSERT_EQ(dim, out_mat.size[0]);
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}
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TEST(GAPI_Pipeline, 1DMatBetweenIslands)
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TEST(DISABLED_GAPI_Pipeline, 1DMatBetweenIslands)
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{
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int dim = 100;
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cv::Mat in_mat(1, 1, CV_8UC3);
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@@ -490,7 +490,7 @@ TEST(GAPI_Pipeline, 1DMatBetweenIslands)
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EXPECT_EQ(0, cv::norm(out_mat, ref_mat));
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}
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TEST(GAPI_Pipeline, 1DMatWithinSingleIsland)
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TEST(DISABLED_GAPI_Pipeline, 1DMatWithinSingleIsland)
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{
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int dim = 100;
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cv::Size blur_sz(3, 3);
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@@ -94,12 +94,16 @@ TEST_P(RMatViewNDTest, DefaultStep) {
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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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if (ndims <= 1) {
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throw SkipTestException("1D mat's in G-API need to be synchronized with cv::Mat");
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} else {
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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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}
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@@ -270,11 +274,11 @@ TEST_F(RMatViewCallbackTest, MagazineInteraction) {
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}
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TEST(RMatView, Access1DMat) {
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cv::Mat m({1}, CV_32FC1);
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m.dims = 1;
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int sz=1;
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cv::Mat m(1, &sz, CV_32FC1);
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auto rmat = cv::make_rmat<cv::gimpl::RMatOnMat>(m);
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auto view = rmat.access(cv::RMat::Access::R);
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auto out = cv::gimpl::asMat(view);
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EXPECT_EQ(1, out.dims);
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EXPECT_EQ(2, out.dims);
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}
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} // namespace opencv_test
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