Exemplos de eigenVec em C++ (Cpp)

Exemplo n.º 1

Arquivo: adaptive_manifold_filter_n.cpp Projeto: 23pointsNorth/opencv_contrib

void AdaptiveManifoldFilterN::computeClusters(Mat1b& cluster, Mat1b& cluster_minus, Mat1b& cluster_plus)
{
    Mat difEtaSrc;
    {
        vector<Mat> eta_difCn(jointCnNum);
        for (int i = 0; i < jointCnNum; i++)
            subtract(jointCn[i], etaFull[i], eta_difCn[i]);

        merge(eta_difCn, difEtaSrc);
        difEtaSrc = difEtaSrc.reshape(1, (int)difEtaSrc.total());
        CV_DbgAssert(difEtaSrc.cols == jointCnNum);
    }

    Mat1f initVec(1, jointCnNum);
    if (useRNG)
    {
        rnd.fill(initVec, RNG::UNIFORM, -0.5, 0.5);
    }
    else
    {
        for (int i = 0; i < (int)initVec.total(); i++)
            initVec(0, i) = (i % 2 == 0) ? 0.5f : -0.5f;
    }

    Mat1f eigenVec(1, jointCnNum);
    computeEigenVector(difEtaSrc, cluster, eigenVec, num_pca_iterations_, initVec);

    Mat1f difOreientation;
    gemm(difEtaSrc, eigenVec, 1, noArray(), 0, difOreientation, GEMM_2_T);
    difOreientation = difOreientation.reshape(1, srcSize.height);
    CV_DbgAssert(difOreientation.size() == srcSize);

    compare(difOreientation, 0, cluster_minus, CMP_LT);
    bitwise_and(cluster_minus, cluster, cluster_minus);

    compare(difOreientation, 0, cluster_plus, CMP_GE);
    bitwise_and(cluster_plus, cluster, cluster_plus);
}

Exemplo n.º 2

Arquivo: adaptive_manifold_filter_n.cpp Projeto: HapeMask/opencv_contrib

void AdaptiveManifoldFilterN::computeClusters(Mat1b& cluster, Mat1b& cluster_minus, Mat1b& cluster_plus)
{
    
    Mat1f difOreientation;
    if (jointCnNum > 1)
    {
        Mat1f initVec(1, jointCnNum);
        if (useRNG)
        {
            rnd.fill(initVec, RNG::UNIFORM, -0.5, 0.5);
        }
        else
        {
            for (int i = 0; i < (int)initVec.total(); i++)
                initVec(0, i) = (i % 2 == 0) ? 0.5f : -0.5f;
        }

        vector<Mat> difEtaSrc(jointCnNum);
        for (int i = 0; i < jointCnNum; i++)
            subtract(jointCn[i], etaFull[i], difEtaSrc[i]);

        Mat1f eigenVec(1, jointCnNum);
        computeEigenVector(difEtaSrc, cluster, eigenVec, num_pca_iterations_, initVec);

        computeOrientation(difEtaSrc, eigenVec, difOreientation);
        CV_DbgAssert(difOreientation.size() == srcSize);
    }
    else
    {
        subtract(jointCn[0], etaFull[0], difOreientation);
    }

    compare(difOreientation, 0, cluster_minus, CMP_LT);
    bitwise_and(cluster_minus, cluster, cluster_minus);

    compare(difOreientation, 0, cluster_plus, CMP_GE);
    bitwise_and(cluster_plus, cluster, cluster_plus);
}

Exemplo n.º 3

Arquivo: Configurator.cpp Projeto: SaschaKaden/RobotMotionPlanner

VectorX Configurator::stdVectorToEigen(std::vector<double> vec) {
    VectorX eigenVec(vec.size());
    for (size_t i = 0; i < vec.size(); ++i)
        eigenVec[i] = vec[i];
    return eigenVec;
}