opencv/modules/video/test/test_accum.cpp

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#include "test_precomp.hpp"
#include "opencv2/imgproc/imgproc_c.h"

namespace opencv_test { namespace {

class CV_AccumBaseTest : public cvtest::ArrayTest
{
public:
    CV_AccumBaseTest();

protected:
    void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
    double get_success_error_level( int test_case_idx, int i, int j );
    double alpha;
};


CV_AccumBaseTest::CV_AccumBaseTest()
{
    test_array[INPUT].push_back(NULL);
    test_array[INPUT_OUTPUT].push_back(NULL);
    test_array[REF_INPUT_OUTPUT].push_back(NULL);
    test_array[MASK].push_back(NULL);
    optional_mask = true;
    element_wise_relative_error = false;
} // ctor


void CV_AccumBaseTest::get_test_array_types_and_sizes( int test_case_idx,
                        vector<vector<Size> >& sizes, vector<vector<int> >& types )
{
    RNG& rng = ts->get_rng();
    int depth = cvtest::randInt(rng) % 4, cn = cvtest::randInt(rng) & 1 ? 3 : 1;
    int accdepth = (int)(cvtest::randInt(rng) % 2 + 1);
    int i, input_count = (int)test_array[INPUT].size();
    cvtest::ArrayTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
    depth = depth == 0 ? CV_8U : depth == 1 ? CV_16U : depth == 2 ? CV_32F : CV_64F;
    accdepth = accdepth == 1 ? CV_32F : CV_64F;
    accdepth = MAX(accdepth, depth);

    for( i = 0; i < input_count; i++ )
        types[INPUT][i] = CV_MAKETYPE(depth,cn);

    types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(accdepth,cn);

    alpha = cvtest::randReal(rng);
}


double CV_AccumBaseTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
    return test_mat[INPUT_OUTPUT][0].depth() < CV_64F ||
           test_mat[INPUT][0].depth() == CV_32F ? FLT_EPSILON*100 : DBL_EPSILON*1000;
}


/// acc
class CV_AccTest : public CV_AccumBaseTest
{
public:
    CV_AccTest() { }
protected:
    void run_func();
    void prepare_to_validation( int );
};


void CV_AccTest::run_func(void)
{
    cvAcc( test_array[INPUT][0], test_array[INPUT_OUTPUT][0], test_array[MASK][0] );
}


void CV_AccTest::prepare_to_validation( int )
{
    const Mat& src = test_mat[INPUT][0];
    Mat& dst = test_mat[REF_INPUT_OUTPUT][0];
    const Mat& mask = test_array[MASK][0] ? test_mat[MASK][0] : Mat();
    Mat temp;
    cvtest::add( src, 1, dst, 1, cvScalarAll(0.), temp, dst.type() );
    cvtest::copy( temp, dst, mask );
}


/// square acc
class CV_SquareAccTest : public CV_AccumBaseTest
{
public:
    CV_SquareAccTest();
protected:
    void run_func();
    void prepare_to_validation( int );
};


CV_SquareAccTest::CV_SquareAccTest()
{
}


void CV_SquareAccTest::run_func()
{
    cvSquareAcc( test_array[INPUT][0], test_array[INPUT_OUTPUT][0], test_array[MASK][0] );
}


void CV_SquareAccTest::prepare_to_validation( int )
{
    const Mat& src = test_mat[INPUT][0];
    Mat& dst = test_mat[REF_INPUT_OUTPUT][0];
    const Mat& mask = test_array[MASK][0] ? test_mat[MASK][0] : Mat();
    Mat temp;

    cvtest::convert( src, temp, dst.type() );
    cvtest::multiply( temp, temp, temp, 1 );
    cvtest::add( temp, 1, dst, 1, cvScalarAll(0.), temp, dst.depth() );
    cvtest::copy( temp, dst, mask );
}


/// multiply acc
class CV_MultiplyAccTest : public CV_AccumBaseTest
{
public:
    CV_MultiplyAccTest();
protected:
    void run_func();
    void prepare_to_validation( int );
};


CV_MultiplyAccTest::CV_MultiplyAccTest()
{
    test_array[INPUT].push_back(NULL);
}


void CV_MultiplyAccTest::run_func()
{
    cvMultiplyAcc( test_array[INPUT][0], test_array[INPUT][1],
                   test_array[INPUT_OUTPUT][0], test_array[MASK][0] );
}


void CV_MultiplyAccTest::prepare_to_validation( int )
{
    const Mat& src1 = test_mat[INPUT][0];
    const Mat& src2 = test_mat[INPUT][1];
    Mat& dst = test_mat[REF_INPUT_OUTPUT][0];
    const Mat& mask = test_array[MASK][0] ? test_mat[MASK][0] : Mat();
    Mat temp1, temp2;

    cvtest::convert( src1, temp1, dst.type() );
    cvtest::convert( src2, temp2, dst.type() );

    cvtest::multiply( temp1, temp2, temp1, 1 );
    cvtest::add( temp1, 1, dst, 1, cvScalarAll(0.), temp1, dst.depth() );
    cvtest::copy( temp1, dst, mask );
}


/// running average
class CV_RunningAvgTest : public CV_AccumBaseTest
{
public:
    CV_RunningAvgTest();
protected:
    void run_func();
    void prepare_to_validation( int );
};


CV_RunningAvgTest::CV_RunningAvgTest()
{
}


void CV_RunningAvgTest::run_func()
{
    cvRunningAvg( test_array[INPUT][0], test_array[INPUT_OUTPUT][0],
                  alpha, test_array[MASK][0] );
}


void CV_RunningAvgTest::prepare_to_validation( int )
{
    const Mat& src = test_mat[INPUT][0];
    Mat& dst = test_mat[REF_INPUT_OUTPUT][0];
    Mat temp;
    const Mat& mask = test_array[MASK][0] ? test_mat[MASK][0] : Mat();
    double a[1], b[1];
    int accdepth = test_mat[INPUT_OUTPUT][0].depth();
    CvMat A = cvMat(1,1,accdepth,a), B = cvMat(1,1,accdepth,b);
    cvSetReal1D( &A, 0, alpha);
    cvSetReal1D( &B, 0, 1 - cvGetReal1D(&A, 0));

    cvtest::convert( src, temp, dst.type() );
    cvtest::add( src, cvGetReal1D(&A, 0), dst, cvGetReal1D(&B, 0), cvScalarAll(0.), temp, temp.depth() );
    cvtest::copy( temp, dst, mask );
}


TEST(Video_Acc, accuracy) { CV_AccTest test; test.safe_run(); }
TEST(Video_AccSquared, accuracy) { CV_SquareAccTest test; test.safe_run(); }
TEST(Video_AccProduct, accuracy) { CV_MultiplyAccTest test; test.safe_run(); }
TEST(Video_RunningAvg, accuracy) { CV_RunningAvgTest test; test.safe_run(); }

typedef testing::TestWithParam<tuple<Size, int, int> > Video_Acc_Cn4;

TEST_P(Video_Acc_Cn4, accuracy)
{
    const Size size = get<0>(GetParam());
    const int pattern = get<1>(GetParam());
    const int srcType = get<2>(GetParam());

    RNG& rng = theRNG();

    Mat src(size, srcType);
    Mat dst(size, CV_32FC4);
    Mat mask(size, CV_8UC1);

    if (srcType == CV_8UC4)
        rng.fill(src, RNG::UNIFORM, Scalar::all(0), Scalar::all(256));
    else
        rng.fill(src, RNG::UNIFORM, Scalar::all(-10.0), Scalar::all(10.0));

    rng.fill(dst, RNG::UNIFORM, Scalar::all(-1000.0), Scalar::all(1000.0));

    for (int y = 0; y < mask.rows; ++y)
    {
        uchar* row = mask.ptr<uchar>(y);

        for (int x = 0; x < mask.cols; ++x)
        {
            switch (pattern)
            {
            case 0:
                row[x] = 0;
                break;
            case 1:
                row[x] = 255;
                break;
            case 2:
                row[x] = ((x + y) % 2) ? 255 : 0;
                break;
            case 3:
                row[x] = ((x * 13 + y * 7) % 5) ? 255 : 0;
                break;
            default:
                row[x] = ((x * 17 + y * 11) % 3) ? 255 : 0;
                break;
            }
        }
    }

    Mat dstRef = dst.clone();

    if (srcType == CV_32FC4)
    {
        for (int y = 0; y < src.rows; ++y)
        {
            const Vec4f* srcRow = src.ptr<Vec4f>(y);
            Vec4f* dstRefRow = dstRef.ptr<Vec4f>(y);
            const uchar* maskRow = mask.ptr<uchar>(y);

            for (int x = 0; x < src.cols; ++x)
            {
                if (maskRow[x])
                {
                    for (int c = 0; c < 4; ++c)
                        dstRefRow[x][c] += srcRow[x][c];
                }
            }
        }
    }
    else
    {
        CV_Assert(srcType == CV_8UC4);

        for (int y = 0; y < src.rows; ++y)
        {
            const Vec4b* srcRow = src.ptr<Vec4b>(y);
            Vec4f* dstRefRow = dstRef.ptr<Vec4f>(y);
            const uchar* maskRow = mask.ptr<uchar>(y);

            for (int x = 0; x < src.cols; ++x)
            {
                if (maskRow[x])
                {
                    for (int c = 0; c < 4; ++c)
                        dstRefRow[x][c] += static_cast<float>(srcRow[x][c]);
                }
            }
        }
    }

    cv::accumulate(src, dst, mask);

    const double err = cv::norm(dst, dstRef, NORM_INF);

    EXPECT_EQ(0.0, err)
        << "size=" << size
        << ", pattern=" << pattern
        << ", srcType=" << srcType;
}

INSTANTIATE_TEST_CASE_P(Accumulate,
    Video_Acc_Cn4,
    testing::Combine(
        testing::Values(Size(1, 1),
                        Size(3, 5),
                        Size(17, 7),
                        Size(37, 19),
                        Size(128, 16),
                        Size(641, 37)),
        testing::Values(0, 1, 2, 3, 4),
        testing::Values(CV_32FC4, CV_8UC4)));

}} // namespace