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Darknet cleanup
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@@ -212,8 +212,9 @@ PERF_TEST_P_(DNNTestNetwork, YOLOv3)
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#endif
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Mat sample = imread(findDataFile("dnn/dog416.png"));
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cv::resize(sample, sample, Size(640, 640));
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Mat inp = blobFromImage(sample, 1.0 / 255.0, Size(), Scalar(), true);
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processNet("dnn/yolov3.weights", "dnn/yolov3.cfg", inp);
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processNet("dnn/yolov3.onnx", "", inp);
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}
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PERF_TEST_P_(DNNTestNetwork, YOLOv4)
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@@ -231,8 +232,9 @@ PERF_TEST_P_(DNNTestNetwork, YOLOv4)
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throw SkipTestException("Test is disabled in OpenVINO 2020.4");
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#endif
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Mat sample = imread(findDataFile("dnn/dog416.png"));
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cv::resize(sample, sample, Size(608, 608));
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Mat inp = blobFromImage(sample, 1.0 / 255.0, Size(), Scalar(), true);
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processNet("dnn/yolov4.weights", "dnn/yolov4.cfg", inp);
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processNet("dnn/yolov4.onnx", "", inp);
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}
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PERF_TEST_P_(DNNTestNetwork, YOLOv4_tiny)
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@@ -243,7 +245,7 @@ PERF_TEST_P_(DNNTestNetwork, YOLOv4_tiny)
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#endif
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Mat sample = imread(findDataFile("dnn/dog416.png"));
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Mat inp = blobFromImage(sample, 1.0 / 255.0, Size(), Scalar(), true);
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processNet("dnn/yolov4-tiny-2020-12.weights", "dnn/yolov4-tiny-2020-12.cfg", inp);
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processNet("dnn/yolov4-tiny.onnx", "", inp);
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}
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PERF_TEST_P_(DNNTestNetwork, YOLOv5) {
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