Repository for OpenCV's extra modules
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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.
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//
// 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.
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// Redistribution and use in source and binary forms, with or without modification,
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#if defined(ENABLE_CAFFE_MODEL_TESTS) && defined(ENABLE_CAFFE_ALEXNET_TEST) //AlexNet is disabled now
#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(Reproducibility_AlexNet, Accuracy)
{
Net net;
{
Ptr<Importer> importer = createCaffeImporter(_tf("bvlc_alexnet.prototxt"), _tf("bvlc_alexnet.caffemodel"));
ASSERT_TRUE(importer != NULL);
importer->populateNet(net);
}
std::vector<Mat> inpMats;
inpMats.push_back( imread(_tf("alexnet_0.png")) );
inpMats.push_back( imread(_tf("alexnet_1.png")) );
ASSERT_TRUE(!inpMats[0].empty() && !inpMats[1].empty());
net.setBlob(".data", Blob(inpMats));
net.forward();
Blob out = net.getBlob("prob");
Blob ref = blobFromNPY(_tf("alexnet.npy"));
normAssert(ref, out, "prob");
}
}
#endif