Function calc_covar_matrix 

pub fn calc_covar_matrix(
    samples: &impl ToInputArray,
    covar: &mut impl ToOutputArray,
    mean: &mut impl ToInputOutputArray,
    flags: i32,
    ctype: i32,
) -> Result<()>

Calculates the covariance matrix of a set of vectors.

The function cv::calcCovarMatrix calculates the covariance matrix and, optionally, the mean vector of the set of input vectors.

Parameters

• samples: samples stored as separate matrices
• nsamples: number of samples
• covar: output covariance matrix of the type ctype and square size.
• mean: input or output (depending on the flags) array as the average value of the input vectors.
• flags: operation flags as a combination of [covar_flags]
• ctype: type of the matrixl; it equals ‘CV_64F’ by default.

See also

PCA, mulTransposed, Mahalanobis @todo InputArrayOfArrays

Overloaded parameters

Note: use COVAR_ROWS or COVAR_COLS flag

• samples: samples stored as rows/columns of a single matrix.
• covar: output covariance matrix of the type ctype and square size.
• mean: input or output (depending on the flags) array as the average value of the input vectors.
• flags: operation flags as a combination of [covar_flags]
• ctype: type of the matrixl; it equals ‘CV_64F’ by default.

C++ default parameters

• ctype: CV_64F