perf_batchDistance.cpp 5.19 KB
Newer Older
wester committed
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167
#include "perf_precomp.hpp"

using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;

CV_ENUM(NormType, NORM_L1, NORM_L2, NORM_L2SQR, NORM_HAMMING, NORM_HAMMING2)

typedef std::tr1::tuple<NormType, MatType, bool> Norm_Destination_CrossCheck_t;
typedef perf::TestBaseWithParam<Norm_Destination_CrossCheck_t> Norm_Destination_CrossCheck;

typedef std::tr1::tuple<NormType, bool> Norm_CrossCheck_t;
typedef perf::TestBaseWithParam<Norm_CrossCheck_t> Norm_CrossCheck;

typedef std::tr1::tuple<MatType, bool> Source_CrossCheck_t;
typedef perf::TestBaseWithParam<Source_CrossCheck_t> Source_CrossCheck;

void generateData( Mat& query, Mat& train, const int sourceType );

PERF_TEST_P(Norm_Destination_CrossCheck, batchDistance_8U,
            testing::Combine(testing::Values((int)NORM_L1, (int)NORM_L2SQR),
                             testing::Values(CV_32S, CV_32F),
                             testing::Bool()
                             )
            )
{
    NormType normType = get<0>(GetParam());
    int destinationType = get<1>(GetParam());
    bool isCrossCheck = get<2>(GetParam());
    int knn = isCrossCheck ? 1 : 0;

    Mat queryDescriptors;
    Mat trainDescriptors;
    Mat dist;
    Mat ndix;

    generateData(queryDescriptors, trainDescriptors, CV_8U);

    TEST_CYCLE()
    {
        batchDistance(queryDescriptors, trainDescriptors, dist, destinationType, (isCrossCheck) ? ndix : noArray(),
                      normType, knn, Mat(), 0, isCrossCheck);
    }

    SANITY_CHECK(dist);
    if (isCrossCheck) SANITY_CHECK(ndix);
}

PERF_TEST_P(Norm_CrossCheck, batchDistance_Dest_32S,
            testing::Combine(testing::Values((int)NORM_HAMMING, (int)NORM_HAMMING2),
                             testing::Bool()
                             )
            )
{
    NormType normType = get<0>(GetParam());
    bool isCrossCheck = get<1>(GetParam());
    int knn = isCrossCheck ? 1 : 0;

    Mat queryDescriptors;
    Mat trainDescriptors;
    Mat dist;
    Mat ndix;

    generateData(queryDescriptors, trainDescriptors, CV_8U);

    TEST_CYCLE()
    {
        batchDistance(queryDescriptors, trainDescriptors, dist, CV_32S, (isCrossCheck) ? ndix : noArray(),
                      normType, knn, Mat(), 0, isCrossCheck);
    }

    SANITY_CHECK(dist);
    if (isCrossCheck) SANITY_CHECK(ndix);
}

PERF_TEST_P(Source_CrossCheck, batchDistance_L2,
            testing::Combine(testing::Values(CV_8U, CV_32F),
                             testing::Bool()
                             )
            )
{
    int sourceType = get<0>(GetParam());
    bool isCrossCheck = get<1>(GetParam());
    int knn = isCrossCheck ? 1 : 0;

    Mat queryDescriptors;
    Mat trainDescriptors;
    Mat dist;
    Mat ndix;

    generateData(queryDescriptors, trainDescriptors, sourceType);

    declare.time(50);
    TEST_CYCLE()
    {
        batchDistance(queryDescriptors, trainDescriptors, dist, CV_32F, (isCrossCheck) ? ndix : noArray(),
                      NORM_L2, knn, Mat(), 0, isCrossCheck);
    }

    SANITY_CHECK(dist);
    if (isCrossCheck) SANITY_CHECK(ndix);
}

PERF_TEST_P(Norm_CrossCheck, batchDistance_32F,
            testing::Combine(testing::Values((int)NORM_L1, (int)NORM_L2SQR),
                             testing::Bool()
                             )
            )
{
    NormType normType = get<0>(GetParam());
    bool isCrossCheck = get<1>(GetParam());
    int knn = isCrossCheck ? 1 : 0;

    Mat queryDescriptors;
    Mat trainDescriptors;
    Mat dist;
    Mat ndix;

    generateData(queryDescriptors, trainDescriptors, CV_32F);
    declare.time(100);

    TEST_CYCLE()
    {
        batchDistance(queryDescriptors, trainDescriptors, dist, CV_32F, (isCrossCheck) ? ndix : noArray(),
                      normType, knn, Mat(), 0, isCrossCheck);
    }

    SANITY_CHECK(dist, 1e-4);
    if (isCrossCheck) SANITY_CHECK(ndix);
}

void generateData( Mat& query, Mat& train, const int sourceType )
{
    const int dim = 500;
    const int queryDescCount = 300; // must be even number because we split train data in some cases in two
    const int countFactor = 4; // do not change it
    RNG& rng = theRNG();

    // Generate query descriptors randomly.
    // Descriptor vector elements are integer values.
    Mat buf( queryDescCount, dim, CV_32SC1 );
    rng.fill( buf, RNG::UNIFORM, Scalar::all(0), Scalar(3) );
    buf.convertTo( query, sourceType );

    // Generate train decriptors as follows:
    // copy each query descriptor to train set countFactor times
    // and perturb some one element of the copied descriptors in
    // in ascending order. General boundaries of the perturbation
    // are (0.f, 1.f).
    train.create( query.rows*countFactor, query.cols, sourceType );
    float step = (sourceType == CV_8U ? 256.f : 1.f) / countFactor;
    for( int qIdx = 0; qIdx < query.rows; qIdx++ )
    {
        Mat queryDescriptor = query.row(qIdx);
        for( int c = 0; c < countFactor; c++ )
        {
            int tIdx = qIdx * countFactor + c;
            Mat trainDescriptor = train.row(tIdx);
            queryDescriptor.copyTo( trainDescriptor );
            int elem = rng(dim);
            float diff = rng.uniform( step*c, step*(c+1) );
            trainDescriptor.col(elem) += diff;
        }
    }
}