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95 lines
3.2 KiB
C++
95 lines
3.2 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#if defined(ENABLE_CAFFE_MODEL_TESTS)
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#include "test_precomp.hpp"
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#include "npy_blob.hpp"
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#include <opencv2/core/ocl.hpp>
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#include <opencv2/ts/ocl_test.hpp>
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namespace cvtest
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{
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using namespace cv;
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using namespace cv::dnn;
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template<typename TString>
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static std::string _tf(TString filename)
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{
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return (getOpenCVExtraDir() + "/dnn/") + filename;
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}
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static void launchGoogleNetTest()
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{
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Net net;
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{
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Ptr<Importer> importer = createCaffeImporter(_tf("bvlc_googlenet.prototxt"), _tf("bvlc_googlenet.caffemodel"));
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ASSERT_TRUE(importer != NULL);
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importer->populateNet(net);
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}
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std::vector<Mat> inpMats;
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inpMats.push_back( imread(_tf("googlenet_0.jpg")) );
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inpMats.push_back( imread(_tf("googlenet_1.jpg")) );
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ASSERT_TRUE(!inpMats[0].empty() && !inpMats[1].empty());
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net.setBlob(".data", Blob::fromImages(inpMats));
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net.forward();
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Blob out = net.getBlob("prob");
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Blob ref = blobFromNPY(_tf("googlenet_prob.npy"));
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normAssert(out, ref);
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}
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TEST(Reproducibility_GoogLeNet, Accuracy)
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{
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OCL_OFF(launchGoogleNetTest());
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}
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OCL_TEST(Reproducibility_GoogLeNet, Accuracy)
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{
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OCL_ON(launchGoogleNetTest());
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OCL_OFF();
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}
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}
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#endif
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