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Fixed issues found by static analysis
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@ -1188,6 +1188,7 @@ void ONNXImporter::parseSlice(LayerParams& layerParams, const opencv_onnx::NodeP
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CV_Assert(starts.size() == ends.size());
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if (axis > 0) {
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CV_CheckLE(axis, 1024, "Slice layer can't have more than 1024 axes"); // arbitrary limit
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begin.resize(axis, 0);
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end.resize(axis, -1);
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}
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@ -1470,6 +1471,13 @@ void ONNXImporter::parseLSTM(LayerParams& layerParams, const opencv_onnx::NodePr
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const int numDirs = Wx.size[0]; // Is 1 for forward only and 2 for bidirectional LSTM.
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const int numFeatures = Wx.size[2];
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// Following checks are deduced from the IFGO->IGFO loop below
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// Wx is numDirs X numHidden*3 X numFeatures
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// Wh is numDirs X numHidden*3 X numHidden
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CV_CheckLE(numHidden * 3, Wx.size[1], "Wx should have beat least 3x hidden_size in dimension 1");
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CV_CheckLE(numHidden * 3, Wh.size[1], "Wh should have be at least 3x hidden_size in dimension 1");
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CV_CheckLE(numHidden, Wh.size[2], "Wh should have be at least hidden_size in dimension 2");
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Mat h0, c0;
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if (!node_proto.input(5).empty()) {
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h0 = getBlob(node_proto, 5);
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@ -1491,6 +1499,9 @@ void ONNXImporter::parseLSTM(LayerParams& layerParams, const opencv_onnx::NodePr
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Mat bh = b.colRange(b.cols / 2, b.cols);
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b = bx + bh;
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// b is numDirs X numHidden*3
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CV_CheckLE(numHidden * 3, b.cols, "Bias data should have at least 3x hidden_size columns");
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// IFGO->IGFO
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for (int k = 0; k < numDirs; ++k)
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{
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@ -36,7 +36,7 @@ cv::MediaFrame::IAdapter* cv::MediaFrame::getAdapter() const {
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}
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void cv::MediaFrame::serialize(cv::gapi::s11n::IOStream& os) const {
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return m->adapter->serialize(os);
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m->adapter->serialize(os);
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}
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cv::MediaFrame::View::View(Ptrs&& ptrs, Strides&& strs, Callback &&cb)
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