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https://github.com/opencv/opencv.git
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Apply ov::Core WA
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@@ -52,11 +52,6 @@ void normAssert(cv::InputArray ref, cv::InputArray test,
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EXPECT_LE(normInf, lInf) << comment;
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}
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ov::Core getCore() {
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static ov::Core core;
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return core;
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}
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// TODO: AGNetGenComp, AGNetTypedComp, AGNetOVComp, AGNetOVCompiled
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// can be generalized to work with any model and used as parameters for tests.
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@@ -228,7 +223,8 @@ public:
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const std::string &bin_path,
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const std::string &device)
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: m_device(device) {
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m_model = getCore().read_model(xml_path, bin_path);
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m_model = cv::gapi::ov::wrap::getCore()
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.read_model(xml_path, bin_path);
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}
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using PrePostProcessF = std::function<void(ov::preprocess::PrePostProcessor&)>;
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@@ -240,7 +236,8 @@ public:
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}
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AGNetOVCompiled compile() {
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auto compiled_model = getCore().compile_model(m_model, m_device);
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auto compiled_model = cv::gapi::ov::wrap::getCore()
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.compile_model(m_model, m_device);
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return {std::move(compiled_model)};
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}
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