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Merge pull request #23595 from TolyaTalamanov:at/implement-openvino-backend
[G-API] Implement OpenVINO 2.0 backend #23595 ### Pull Request Readiness Checklist Implemented basic functionality for `OpenVINO` 2.0 G-API backend. #### Overview - [x] Implement `Infer` kernel with some of essential configurable parameters + IR/Blob models format support. - [ ] Implement the rest of kernels: `InferList`, `InferROI`, `Infer2` + other configurable params (e.g reshape) - [x] Asyncrhonous execution support - [ ] Remote context support See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
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@@ -15,6 +15,7 @@ using gapi_GKernelPackage = cv::GKernelPackage;
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using gapi_GNetPackage = cv::gapi::GNetPackage;
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using gapi_ie_PyParams = cv::gapi::ie::PyParams;
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using gapi_onnx_PyParams = cv::gapi::onnx::PyParams;
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using gapi_ov_PyParams = cv::gapi::ov::PyParams;
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using gapi_wip_IStreamSource_Ptr = cv::Ptr<cv::gapi::wip::IStreamSource>;
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using detail_ExtractArgsCallback = cv::detail::ExtractArgsCallback;
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using detail_ExtractMetaCallback = cv::detail::ExtractMetaCallback;
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@@ -22,6 +23,11 @@ using vector_GNetParam = std::vector<cv::gapi::GNetParam>;
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using vector_GMat = std::vector<cv::GMat>;
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using gapi_streaming_queue_capacity = cv::gapi::streaming::queue_capacity;
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using GStreamerSource_OutputType = cv::gapi::wip::GStreamerSource::OutputType;
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using map_string_and_int = std::map<std::string, int>;
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using map_string_and_string = std::map<std::string, std::string>;
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using map_string_and_string = std::map<std::string, std::string>;
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using map_string_and_vector_size_t = std::map<std::string, std::vector<size_t>>;
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using map_string_and_vector_float = std::map<std::string, std::vector<float>>;
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// NB: Python wrapper generate T_U for T<U>
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// This behavior is only observed for inputs
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