dnn: move module from opencv_contrib

https://github.com/opencv/opencv_contrib/tree/e6f63c7a38ca40c5dc33e38736e3027e3528d6cb/modules/dnn

modules/dnn/test/test_tf_importer.cpp

@@ -0,0 +1,74 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+
+// Copyright (C) 2016, Intel Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+
+/*
+Test for Tensorflow models loading
+*/
+
+#include "test_precomp.hpp"
+#include "npy_blob.hpp"
+
+namespace cvtest
+{
+
+using namespace cv;
+using namespace cv::dnn;
+
+template<typename TString>
+static std::string _tf(TString filename)
+{
+    return (getOpenCVExtraDir() + "/dnn/") + filename;
+}
+
+TEST(Test_TensorFlow, read_inception)
+{
+    Net net;
+    {
+        const string model = findDataFile("dnn/tensorflow_inception_graph.pb", false);
+        Ptr<Importer> importer = createTensorflowImporter(model);
+        ASSERT_TRUE(importer != NULL);
+        importer->populateNet(net);
+    }
+
+    Mat sample = imread(_tf("grace_hopper_227.png"));
+    ASSERT_TRUE(!sample.empty());
+    Mat input;
+    resize(sample, input, Size(224, 224));
+    input -= 128; // mean sub
+
+    Mat inputBlob = blobFromImage(input);
+
+    net.setInput(inputBlob, "input");
+    Mat out = net.forward("softmax2");
+
+    std::cout << out.dims << std::endl;
+}
+
+TEST(Test_TensorFlow, inception_accuracy)
+{
+    Net net;
+    {
+        const string model = findDataFile("dnn/tensorflow_inception_graph.pb", false);
+        Ptr<Importer> importer = createTensorflowImporter(model);
+        ASSERT_TRUE(importer != NULL);
+        importer->populateNet(net);
+    }
+
+    Mat sample = imread(_tf("grace_hopper_227.png"));
+    ASSERT_TRUE(!sample.empty());
+    resize(sample, sample, Size(224, 224));
+    Mat inputBlob = blobFromImage(sample);
+
+    net.setInput(inputBlob, "input");
+    Mat out = net.forward("softmax2");
+
+    Mat ref = blobFromNPY(_tf("tf_inception_prob.npy"));
+
+    normAssert(ref, out);
+}
+
+}