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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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