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Merge pull request #19707 from AsyaPronina:asyadev/upstream_fixes_from_release
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commit
4c1d5840bb
@ -30,9 +30,21 @@ public:
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View access(Access) const;
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cv::GFrameDesc desc() const;
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// Cast underlying MediaFrame adapter to the particular adapter type,
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// return nullptr if underlying type is different
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template<typename T> T* get() const
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{
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static_assert(std::is_base_of<IAdapter, T>::value,
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"T is not derived from cv::MediaFrame::IAdapter!");
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auto* adapter = getAdapter();
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GAPI_Assert(adapter != nullptr);
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return dynamic_cast<T*>(adapter);
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}
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private:
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struct Priv;
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std::shared_ptr<Priv> m;
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IAdapter* getAdapter() const;
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};
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template<class T, class... Args>
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@ -26,6 +26,10 @@ cv::MediaFrame::View cv::MediaFrame::access(Access code) const {
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return m->adapter->access(code);
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}
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cv::MediaFrame::IAdapter* cv::MediaFrame::getAdapter() const {
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return m->adapter.get();
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}
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cv::MediaFrame::View::View(Ptrs&& ptrs, Strides&& strs, Callback &&cb)
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: ptr (std::move(ptrs))
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, stride(std::move(strs))
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@ -126,25 +126,20 @@ inline IE::TensorDesc toIE(const cv::Mat &mat, cv::gapi::ie::TraitAs hint) {
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if (sz.dims() == 2 && hint == cv::gapi::ie::TraitAs::IMAGE)
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{
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// NB: This logic is mainly taken from IE samples
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const size_t pixsz = CV_ELEM_SIZE1(mat.type());
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const size_t channels = mat.channels();
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const size_t height = mat.size().height;
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const size_t width = mat.size().width;
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const size_t strideH = mat.step.buf[0];
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const size_t strideW = mat.step.buf[1];
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const size_t strideH = mat.step[0];
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const bool is_dense =
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strideW == pixsz * channels &&
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strideH == strideW * width;
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if (!is_dense)
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cv::util::throw_error(std::logic_error("Doesn't support conversion"
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" from non-dense cv::Mat"));
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IE::BlockingDesc bdesc({1, height, width, channels} /* dims */,
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{0, 2, 3, 1} /* order for NHWC */,
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0 /* offset */,
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{0, 0, 0, 0} /* offsets for dims */,
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{strideH * height, strideH, channels, 1} /* strides for dims */);
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return IE::TensorDesc(toIE(mat.depth()),
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IE::SizeVector{1, channels, height, width},
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IE::Layout::NHWC);
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IE::SizeVector{1, channels, height, width}, bdesc);
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}
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return IE::TensorDesc(toIE(mat.depth()), toIE(sz), toIELayout(sz.dims()));
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