C++ (Cpp) CV_SUM_PTRS Examples

Example #1

File: cascadedetect.hpp Project: ROUISSI/OpenCV

inline void LBPEvaluator::Feature :: updatePtrs( const Mat& sum )
{
    const int* ptr = (const int*)sum.data;
    size_t step = sum.step/sizeof(ptr[0]);
    Rect tr = rect;
    CV_SUM_PTRS( p[0], p[1], p[4], p[5], ptr, tr, step );
    tr.x += 2*rect.width;
    CV_SUM_PTRS( p[2], p[3], p[6], p[7], ptr, tr, step );
    tr.y += 2*rect.height;
    CV_SUM_PTRS( p[10], p[11], p[14], p[15], ptr, tr, step );
    tr.x -= 2*rect.width;
    CV_SUM_PTRS( p[8], p[9], p[12], p[13], ptr, tr, step );
}

Example #2

File: cascadedetect.hpp Project: ROUISSI/OpenCV

inline void HOGEvaluator::Feature :: updatePtrs( const vector<Mat> &_hist, const Mat &_normSum )
{
    int binIdx = featComponent % BIN_NUM;
    int cellIdx = featComponent / BIN_NUM;
    Rect normRect = Rect( rect[0].x, rect[0].y, 2*rect[0].width, 2*rect[0].height );

    const float* featBuf = (const float*)_hist[binIdx].data;
    size_t featStep = _hist[0].step / sizeof(featBuf[0]);

    const float* normBuf = (const float*)_normSum.data;
    size_t normStep = _normSum.step / sizeof(normBuf[0]);

    CV_SUM_PTRS( pF[0], pF[1], pF[2], pF[3], featBuf, rect[cellIdx], featStep );
    CV_SUM_PTRS( pN[0], pN[1], pN[2], pN[3], normBuf, normRect, normStep );
}

Example #3

File: cascadedetect.hpp Project: ROUISSI/OpenCV

inline void HaarEvaluator::Feature :: updatePtrs( const Mat& sum )
{
    const int* ptr = (const int*)sum.data;
    size_t step = sum.step/sizeof(ptr[0]);
    if (tilted)
    {
        CV_TILTED_PTRS( p[0][0], p[0][1], p[0][2], p[0][3], ptr, rect[0].r, step );
        CV_TILTED_PTRS( p[1][0], p[1][1], p[1][2], p[1][3], ptr, rect[1].r, step );
        if (rect[2].weight)
            CV_TILTED_PTRS( p[2][0], p[2][1], p[2][2], p[2][3], ptr, rect[2].r, step );
    }
    else
    {
        CV_SUM_PTRS( p[0][0], p[0][1], p[0][2], p[0][3], ptr, rect[0].r, step );
        CV_SUM_PTRS( p[1][0], p[1][1], p[1][2], p[1][3], ptr, rect[1].r, step );
        if (rect[2].weight)
            CV_SUM_PTRS( p[2][0], p[2][1], p[2][2], p[2][3], ptr, rect[2].r, step );
    }
}

Example #4

File: cascadedetect.cpp Project: MarkBelmont/opencv

bool HaarEvaluator::setImage( const Mat &image, Size _origWinSize )
{
    int rn = image.rows+1, cn = image.cols+1;
    origWinSize = _origWinSize;
    normrect = Rect(1, 1, origWinSize.width-2, origWinSize.height-2);

    if (image.cols < origWinSize.width || image.rows < origWinSize.height)
        return false;

    if( sum0.rows < rn || sum0.cols < cn )
    {
        sum0.create(rn, cn, CV_32S);
        sqsum0.create(rn, cn, CV_64F);
        if (hasTiltedFeatures)
            tilted0.create( rn, cn, CV_32S);
    }
    sum = Mat(rn, cn, CV_32S, sum0.data);
    sqsum = Mat(rn, cn, CV_64F, sqsum0.data);

    if( hasTiltedFeatures )
    {
        tilted = Mat(rn, cn, CV_32S, tilted0.data);
        integral(image, sum, sqsum, tilted);
    }
    else
        integral(image, sum, sqsum);
    const int* sdata = (const int*)sum.data;
    const double* sqdata = (const double*)sqsum.data;
    size_t sumStep = sum.step/sizeof(sdata[0]);
    size_t sqsumStep = sqsum.step/sizeof(sqdata[0]);

    CV_SUM_PTRS( p[0], p[1], p[2], p[3], sdata, normrect, sumStep );
    CV_SUM_PTRS( pq[0], pq[1], pq[2], pq[3], sqdata, normrect, sqsumStep );

    size_t fi, nfeatures = features->size();

    for( fi = 0; fi < nfeatures; fi++ )
        featuresPtr[fi].updatePtrs( !featuresPtr[fi].tilted ? sum : tilted );
    return true;
}