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Open Source Computer Vision Library
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107 lines
3.8 KiB
107 lines
3.8 KiB
/*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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#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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const string proto = findDataFile("dnn/bvlc_googlenet.prototxt", false); |
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const string model = findDataFile("dnn/bvlc_googlenet.caffemodel", false); |
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Ptr<Importer> importer = createCaffeImporter(proto, model); |
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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.png")) ); |
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inpMats.push_back( imread(_tf("googlenet_1.png")) ); |
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ASSERT_TRUE(!inpMats[0].empty() && !inpMats[1].empty()); |
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net.setInput(blobFromImages(inpMats), "data"); |
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Mat out = net.forward("prob"); |
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Mat ref = blobFromNPY(_tf("googlenet_prob.npy")); |
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normAssert(out, ref); |
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std::vector<String> blobsNames; |
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blobsNames.push_back("conv1/7x7_s2"); |
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blobsNames.push_back("conv1/relu_7x7"); |
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blobsNames.push_back("inception_4c/1x1"); |
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blobsNames.push_back("inception_4c/relu_1x1"); |
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std::vector<Mat> outs; |
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Mat in = blobFromImage(inpMats[0]); |
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net.setInput(in, "data"); |
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net.forward(outs, blobsNames); |
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CV_Assert(outs.size() == blobsNames.size()); |
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for (int i = 0; i < blobsNames.size(); i++) |
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{ |
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std::string filename = blobsNames[i]; |
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std::replace( filename.begin(), filename.end(), '/', '#'); |
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Mat ref = blobFromNPY(_tf("googlenet_" + filename + ".npy")); |
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//normAssert(outs[i], ref, "", 1E-4, 1E-2); |
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} |
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} |
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TEST(Reproducibility_GoogLeNet, Accuracy) |
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{ |
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launchGoogleNetTest(); |
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} |
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}
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