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Move Inference Engine to new API
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@@ -180,7 +180,7 @@ TEST_P(DNNTestNetwork, MobileNet_SSD_v2_TensorFlow)
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throw SkipTestException("");
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Mat sample = imread(findDataFile("dnn/street.png", false));
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Mat inp = blobFromImage(sample, 1.0f, Size(300, 300), Scalar(), false);
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float l1 = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.013 : 0.0;
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float l1 = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.013 : 2e-5;
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float lInf = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.062 : 0.0;
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processNet("dnn/ssd_mobilenet_v2_coco_2018_03_29.pb", "dnn/ssd_mobilenet_v2_coco_2018_03_29.pbtxt",
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inp, "detection_out", "", l1, lInf, 0.25);
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@@ -288,7 +288,7 @@ TEST_P(DNNTestNetwork, FastNeuralStyle_eccv16)
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Mat inp = blobFromImage(img, 1.0, Size(320, 240), Scalar(103.939, 116.779, 123.68), false, false);
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// Output image has values in range [-143.526, 148.539].
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float l1 = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.3 : 4e-5;
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float lInf = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 7.0 : 2e-3;
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float lInf = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 7.28 : 2e-3;
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processNet("dnn/fast_neural_style_eccv16_starry_night.t7", "", inp, "", "", l1, lInf);
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}
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