diff --git a/modules/dnn/src/op_inf_engine.cpp b/modules/dnn/src/op_inf_engine.cpp index d5f6902..b663428 100644 --- a/modules/dnn/src/op_inf_engine.cpp +++ b/modules/dnn/src/op_inf_engine.cpp @@ -53,7 +53,9 @@ Mat infEngineBlobToMat(const ov::Tensor& blob) default: CV_Error(Error::StsNotImplemented, "Unsupported blob precision"); } - return Mat(size, type, blob.data()); + // OpenVINO 2026 exposes const data for const tensors, but OpenCV still + // wraps infer request buffers in mutable Mats for its existing copy paths. + return Mat(size, type, const_cast(blob.data())); } void infEngineBlobsToMats(const ov::TensorVector& blobs, diff --git a/modules/gapi/src/backends/ov/govbackend.cpp b/modules/gapi/src/backends/ov/govbackend.cpp --- a/modules/gapi/src/backends/ov/govbackend.cpp +++ b/modules/gapi/src/backends/ov/govbackend.cpp @@ -87,7 +87,7 @@ static ov::element::Type toOV(int depth) { case CV_16F: return ov::element::f16; default: GAPI_Error("OV Backend: Unsupported data type"); } - return ov::element::undefined; + return ov::element::dynamic; } static ov::preprocess::ResizeAlgorithm toOVInterp(int interpolation) { @@ -141,7 +141,7 @@ static void copyFromOV(const ov::Tensor &tensor, cv::Mat &mat) { cv::gimpl::convertInt64ToInt32(tensor.data(), mat.ptr(), total); } else { - std::copy_n(reinterpret_cast(tensor.data()), + std::copy_n(reinterpret_cast(tensor.data()), tensor.get_byte_size(), mat.ptr()); }