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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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@@ -190,6 +190,14 @@ _PREDEFINED_TYPES = (
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PrimitiveTypeNode.float_(),
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PrimitiveTypeNode.str_())
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), export_name="SearchParams"),
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AliasTypeNode.dict_("map_string_and_string", PrimitiveTypeNode.str_("map_string_and_string::key"),
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PrimitiveTypeNode.str_("map_string_and_string::key::value")),
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AliasTypeNode.dict_("map_string_and_int", PrimitiveTypeNode.str_("map_string_and_int::key"),
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PrimitiveTypeNode.int_("map_string_and_int::key::value")),
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AliasTypeNode.dict_("map_string_and_vector_size_t", PrimitiveTypeNode.str_("map_string_and_vector_size_t::key"),
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SequenceTypeNode("map_string_and_vector_size_t::key::value", PrimitiveTypeNode.int_("size_t"))),
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AliasTypeNode.dict_("map_string_and_vector_float", PrimitiveTypeNode.str_("map_string_and_vector_float::key"),
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SequenceTypeNode("map_string_and_vector_float::key::value", PrimitiveTypeNode.float_())),
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)
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PREDEFINED_TYPES = dict(zip((t.ctype_name for t in _PREDEFINED_TYPES), _PREDEFINED_TYPES))
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