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Make external cv::dnn::Importer usage is deprecated
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@@ -66,11 +66,8 @@ static std::string _tf(TStr filename, bool inTorchDir = true)
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TEST(Torch_Importer, simple_read)
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{
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Net net;
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Ptr<Importer> importer;
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ASSERT_NO_THROW( importer = createTorchImporter(_tf("net_simple_net.txt"), false) );
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ASSERT_TRUE( importer != NULL );
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importer->populateNet(net);
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ASSERT_NO_THROW(net = readNetFromTorch(_tf("net_simple_net.txt"), false));
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ASSERT_FALSE(net.empty());
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}
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static void runTorchNet(String prefix, String outLayerName = "",
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@@ -78,10 +75,8 @@ static void runTorchNet(String prefix, String outLayerName = "",
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{
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String suffix = (isBinary) ? ".dat" : ".txt";
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Net net;
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Ptr<Importer> importer = createTorchImporter(_tf(prefix + "_net" + suffix), isBinary);
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ASSERT_TRUE(importer != NULL);
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importer->populateNet(net);
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Net net = readNetFromTorch(_tf(prefix + "_net" + suffix), isBinary);
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ASSERT_FALSE(net.empty());
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Mat inp, outRef;
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ASSERT_NO_THROW( inp = readTorchBlob(_tf(prefix + "_input" + suffix), isBinary) );
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@@ -200,9 +195,8 @@ TEST(Torch_Importer, ENet_accuracy)
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Net net;
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{
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const string model = findDataFile("dnn/Enet-model-best.net", false);
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Ptr<Importer> importer = createTorchImporter(model, true);
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ASSERT_TRUE(importer != NULL);
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importer->populateNet(net);
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net = readNetFromTorch(model, true);
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ASSERT_FALSE(net.empty());
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}
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Mat sample = imread(_tf("street.png", false));
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