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