Struct opencv::core::LDA

pub struct LDA { /* private fields */ }

Linear Discriminant Analysis @todo document this class

Implementations

impl LDA

pub fn new(num_components: i32) -> Result<LDA>

constructor Initializes a LDA with num_components (default 0).

C++ default parameters

• num_components: 0

pub fn new_with_data( src: &impl ToInputArray, labels: &impl ToInputArray, num_components: i32 ) -> Result<LDA>

Initializes and performs a Discriminant Analysis with Fisher’s Optimization Criterion on given data in src and corresponding labels in labels. If 0 (or less) number of components are given, they are automatically determined for given data in computation.

C++ default parameters

• num_components: 0

pub fn subspace_project( w: &impl ToInputArray, mean: &impl ToInputArray, src: &impl ToInputArray ) -> Result<Mat>

pub fn subspace_reconstruct( w: &impl ToInputArray, mean: &impl ToInputArray, src: &impl ToInputArray ) -> Result<Mat>

Trait Implementations

impl Boxed for LDA

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

fn as_raw_mut(&mut self) -> *mut c_void

Return the underlying mutable raw pointer

impl Debug for LDA

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for LDA

fn drop(&mut self)

Executes the destructor for this type.

impl LDATrait for LDA

fn as_raw_mut_LDA(&mut self) -> *mut c_void

fn load(&mut self, filename: &str) -> Result<()>

Deserializes this object from a given filename.

fn load_1(&mut self, node: &FileStorage) -> Result<()>

Deserializes this object from a given cv::FileStorage.

fn compute( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray ) -> Result<()>

Compute the discriminants for data in src (row aligned) and labels.

fn project(&mut self, src: &impl ToInputArray) -> Result<Mat>

Projects samples into the LDA subspace. src may be one or more row aligned samples.

fn reconstruct(&mut self, src: &impl ToInputArray) -> Result<Mat>

Reconstructs projections from the LDA subspace. src may be one or more row aligned projections.

impl LDATraitConst for LDA

fn as_raw_LDA(&self) -> *const c_void

fn save(&self, filename: &str) -> Result<()>

Serializes this object to a given filename.

fn save_1(&self, fs: &mut FileStorage) -> Result<()>

Serializes this object to a given cv::FileStorage.

fn eigenvectors(&self) -> Result<Mat>

Returns the eigenvectors of this LDA.

fn eigenvalues(&self) -> Result<Mat>

Returns the eigenvalues of this LDA.

impl Send for LDA