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Merge pull request #24059 from TolyaTalamanov:at/add-onnx-cuda-execution-provider
G-API: Support CUDA & TensoRT Execution Providers for ONNXRT Backend #24059 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] 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 - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
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@@ -31,6 +31,8 @@ using map_string_and_vector_float = std::map<std::string, std::vector<float>>;
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using map_int_and_double = std::map<int, double>;
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using ep_OpenVINO = cv::gapi::onnx::ep::OpenVINO;
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using ep_DirectML = cv::gapi::onnx::ep::DirectML;
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using ep_CUDA = cv::gapi::onnx::ep::CUDA;
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using ep_TensorRT = cv::gapi::onnx::ep::TensorRT;
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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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