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Merge pull request #21424 from dbudniko:dbudniko/media_frame_adapter_enabling
Adapt remote inference to operate with NV12 blobs * Media Frame Adapter support * address comments
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@ -19,6 +19,8 @@
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#include <functional>
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#include <unordered_set>
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#include <atomic>
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#include <tuple>
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#include <ade/util/algorithm.hpp>
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@ -507,18 +509,27 @@ inline IE::Blob::Ptr extractRemoteBlob(IECallContext& ctx, std::size_t i) {
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cv::util::any any_blob_params = ctx.inFrame(i).blobParams();
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auto ie_core = cv::gimpl::ie::wrap::getCore();
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using ParamType = std::pair<InferenceEngine::TensorDesc,
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InferenceEngine::ParamMap>;
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using ParamType = std::pair<InferenceEngine::TensorDesc, InferenceEngine::ParamMap>;
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using NV12ParamType = std::pair<ParamType, ParamType>;
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ParamType* blob_params = cv::util::any_cast<ParamType>(&any_blob_params);
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NV12ParamType* blob_params = cv::util::any_cast<NV12ParamType>(&any_blob_params);
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if (blob_params == nullptr) {
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GAPI_Assert(false && "Incorrect type of blobParams: "
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"expected std::pair<InferenceEngine::TensorDesc,"
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"InferenceEngine::ParamMap>");
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GAPI_Assert(false && "Incorrect type of blobParams:"
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"expected std::pair<ParamType, ParamType>,"
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"with ParamType std::pair<InferenceEngine::TensorDesc,"
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"InferenceEngine::ParamMap >>");
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}
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return ctx.uu.rctx->CreateBlob(blob_params->first,
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blob_params->second);
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//The parameters are TensorDesc and ParamMap for both y and uv blobs
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auto y_blob = ctx.uu.rctx->CreateBlob(blob_params->first.first, blob_params->first.second);
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auto uv_blob = ctx.uu.rctx->CreateBlob(blob_params->second.first, blob_params->second.second);
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#if INF_ENGINE_RELEASE >= 2021010000
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return IE::make_shared_blob<IE::NV12Blob>(y_blob, uv_blob);
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#else
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return IE::make_shared_blob<InferenceEngine::NV12Blob>(y_blob, uv_blob);
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#endif
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}
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inline IE::Blob::Ptr extractBlob(IECallContext& ctx,
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