Eigen::Matrix与array数据转换

1. 数组转化为Eigen::Matrix

int array[];

cout << "colMajor matrix = \n" << Map<Matrix3i>(array) << endl;                      // map a contiguous array as a column-major matrix
cout << "rowMajor matrix = \n" << Map<Matrix<int, , , RowMajor>>(array) << endl;   // map a contiguous array as a row-major matrix

Map<MatrixXi>  eigMat1(array, , );                     // eigMat1和array指向的是同一个内存空间，是绑定在一起的
MatrixXi       eigMat2 = Map<MatrixXi>(array, , );    //  eigMat1和array指向不同的内存空间，互不影响

2. Eigen::Matrix转化为数组

Matrix3d eigMat;

double* eigMatptr = eigMat.data();
double* eigMatptrnew = new double[eigMat.size()];
Map<MatrixXd>(eigMatptrnew, eigMat.rows(), eigMat.cols()) = eigMat;

3.更多转化

下面的代码是我写的互相转化的测试

#include <iostream>
#include <vector>
#include <Eigen/Dense>

using namespace std;
using namespace Eigen;

void array2eigenMat();
void eigenMat2array();

void array2eigenVec();
void eigenVec2array();

void vector2eigenMat();
void eigenMat2vector();

void vector2eigenVec();
void eigenVec2vector();

int main()
{
    cout << "hello world" <<endl;
    array2eigenMat();
    eigenMat2array();

    array2eigenVec();
    eigenVec2array();

    vector2eigenMat();
    eigenMat2vector();

    vector2eigenVec();
    eigenVec2vector();
    return ;
}

void array2eigenMat()
{
    cout << "-------------------------- array2eigenMat  --------------------------" << endl;

    int array[];
    for (int i = ; i < ; ++i) array[i] = i;
    cout << "array = [ "; for (int i = ; i < ; ++i) cout << array[i] << " "; cout << "]" << endl;

    cout << "colMajor matrix = \n" << Map<Matrix3i>(array) << endl;                     // map a contiguous array as a column-major matrix
    cout << "rowMajor matrix = \n" << Map<Matrix<int, , , RowMajor>>(array) << endl;  // map a contiguous array as a row-major matrix

    cout << "stride matrix = \n" << Map<MatrixXi, , OuterStride<>>(array, , , OuterStride<>()) << endl;
    //mapping an array while specifying an outer stride. Here, since we're mapping as a column-major matrix,
    // 'outer stride' means the pointer increment between two consecutive columns

    Map<MatrixXi> eigMat1(array, , );
    MatrixXi      eigMat2 = Map<MatrixXi>(array, , );
    array[] = ;

    cout << "eigMat1 matrix = \n"; cout << eigMat1 << endl;
    cout << "eigMat2 matrix = \n"; cout << eigMat2 << endl;
    cout << "---------------------------------------------------------------------" << endl;

}
void eigenMat2array()
{
    cout << "-------------------------- eigenMat2array  --------------------------" << endl;
    Matrix3d eigMat;
    eigMat <<
        , , ,
        , , ,
        , , ;
    cout << "init eigMat = \n";    cout << eigMat << endl;

    double* eigMatptr = eigMat.data();
    cout << "array = [ "; for (int i = ; i < ; ++i) cout << eigMatptr[i] << " "; cout << "]" << endl;

    eigMat(, ) = ;
    cout << "array = [ "; for (int i = ; i < ; ++i) cout << eigMatptr[i] << " "; cout << "]" << endl;

    double *eigMatptrnew = new double[eigMat.size()];
    Map<MatrixXd>(eigMatptrnew, eigMat.rows(), eigMat.cols()) = eigMat;

    eigMat(, ) = ;
    cout << "init matrix = \n"; cout << eigMat << endl;
    cout << "array = [ "; for (int i = ; i < ; ++i) cout << eigMatptr[i] << " "; cout << "]" << endl;
    cout << "---------------------------------------------------------------------" << endl;
}

void array2eigenVec()
{
    cout << "-------------------------- array2eigenVec  --------------------------" << endl;

    int array[];
    for (int i = ; i < ; ++i) array[i] = i;
    cout << "data array = [ "; for (int i = ; i < ; ++i) cout << array[i] << " "; cout << "]" << endl;

    Map<VectorXi> eigVec(array, );
    cout << "eigen  vector transpose = " << eigVec.transpose() << endl;
    cout << "stride vector transpose = " << Map<VectorXi, , InnerStride<> >(array, ).transpose() << endl;
    // map an array as a vector, specifying an inner stride, that is, the pointer increment between two consecutive coefficients

    array[] = ;
    cout << "eigen  vector transpose = " << eigVec.transpose() << endl;
    cout << "stride vector transpose = " << Map<VectorXi, , InnerStride<> >(array, ).transpose() << endl;

    cout << "---------------------------------------------------------------------" << endl;
}
void eigenVec2array()
{
    cout << "-------------------------- eigenVec2array  --------------------------" << endl;
    VectorXf eigvec();
    eigvec << , , , , ;
    cout << "eigen  vector transpose = " << eigvec.transpose() << endl;

    float *array = new float;
    array = eigvec.data();
    cout << "data array = [ "; for (int i = ; i < eigvec.size(); ++i) cout << array[i] << " "; cout << "]" << endl;

    eigvec() = ;
    cout << "data array = [ "; for (int i = ; i < eigvec.size(); ++i) cout << array[i] << " "; cout << "]" << endl;

    array[] = ;
    cout << "eigen  vector transpose = " << eigvec.transpose() << endl;

    cout << "---------------------------------------------------------------------" << endl;
}

void vector2eigenMat()
{
    cout << "-------------------------- vector2eigenMat --------------------------" << endl;
    vector<int> stdvec{ , , , , , , , ,  };
    Map<Matrix<int, , , RowMajor>> eigMat1(stdvec.data());
    MatrixXi                         eigMat2 = Map<Matrix<int, , , RowMajor>>(stdvec.data());

    cout << "eigMat1 matrix = \n"; cout << eigMat1 << endl;
    cout << "eigMat2 matrix = \n"; cout << eigMat2 << endl;

    stdvec[] = ;
    cout << "eigMat1 matrix = \n"; cout << eigMat1 << endl;
    cout << "eigMat2 matrix = \n"; cout << eigMat2 << endl;

    cout << "---------------------------------------------------------------------" << endl;
}
void eigenMat2vector()
{
    cout << "-------------------------- eigenMat2vector --------------------------" << endl;
    Matrix3d eigMatCol;
    eigMatCol <<
        , , ,
        , , ,
        , , ;
    cout << "eigen matrix col = \n";    cout << eigMatCol << endl;
    vector<double> stdvec1(eigMatCol.data(), eigMatCol.data() + eigMatCol.size());
    cout << "std   vector1 = ["; for (int i = ; i < stdvec1.size(); ++i) cout << stdvec1[i] << " "; cout << "]" << endl;

    Matrix<double, , , RowMajor> eigMatRow = eigMatCol;
    cout << "eigen matrix row = \n";    cout << eigMatCol << endl;
    vector<double> stdvec2(eigMatRow.data(), eigMatRow.data() + eigMatRow.size());
    cout << "std   vector2 = ["; for (int i = ; i < stdvec2.size(); ++i) cout << stdvec2[i] << " "; cout << "]" << endl;

    cout << "---------------------------------------------------------------------" << endl;
}

void vector2eigenVec()
{
    cout << "-------------------------- vector2eigenVec --------------------------" << endl;
    vector<int> stdvec{ , , , ,  };
    cout << "std   vector = ["; for (int i = ; i < stdvec.size(); ++i) cout << stdvec[i] << " "; cout << "]" << endl;

    Map<VectorXi> eigVec1(stdvec.data(), stdvec.size());
    VectorXi eigVec2 = Map<VectorXi>(stdvec.data(), stdvec.size());
    cout << "eigen  vector1 transpose = " << eigVec1.transpose() << endl;
    cout << "eigen  vector2 transpose = " << eigVec2.transpose() << endl;
    cout << "stride vector  transpose = " << Map<VectorXi, , InnerStride<> >(stdvec.data(), ).transpose() << endl;

    stdvec[] = ;
    cout << "eigen  vector1 transpose = " << eigVec1.transpose() << endl;
    cout << "eigen  vector2 transpose = " << eigVec2.transpose() << endl;

    cout << "stride vector  transpose = " << Map<VectorXi, , InnerStride<> >(stdvec.data(), ).transpose() << endl;

    cout << "---------------------------------------------------------------------" << endl;
}
void eigenVec2vector()
{
    cout << "-------------------------- eigenVec2vector --------------------------" << endl;
    VectorXf eigvec();
    eigvec << , , , , ;
    cout << "eigen  vector transpose = " << eigvec.transpose() << endl;

    vector<float> stdvec(eigvec.data(), eigvec.data() + eigvec.size());
    cout << "std   vector = ["; for (int i = ; i < stdvec.size(); ++i) cout << stdvec[i] << " "; cout << "]" << endl;

    eigvec() = ;
    cout << "std   vector = ["; for (int i = ; i < stdvec.size(); ++i) cout << stdvec[i] << " "; cout << "]" << endl;
    cout << "---------------------------------------------------------------------" << endl;
}

程序运行结果

4. 参考

1. Eigen::Map

2. Eigen quick reference guide

3. Vlad's Blog