Struct opencv::features2d::BOWKMeansTrainer

pub struct BOWKMeansTrainer { /* fields omitted */ }

kmeans -based class to train visual vocabulary using the bag of visual words approach. :

Implementations

impl BOWKMeansTrainer

pub fn as_raw_BOWKMeansTrainer(&self) -> *const c_void

pub fn as_raw_mut_BOWKMeansTrainer(&mut self) -> *mut c_void

impl BOWKMeansTrainer

pub fn new(
    cluster_count: i32,
    termcrit: TermCriteria,
    attempts: i32,
    flags: i32
) -> Result<BOWKMeansTrainer>

The constructor.

See also

cv::kmeans

C++ default parameters

• termcrit: TermCriteria()
• attempts: 3
• flags: KMEANS_PP_CENTERS

Trait Implementations

impl BOWKMeansTrainerTrait for BOWKMeansTrainer

fn as_raw_BOWKMeansTrainer(&self) -> *const c_void

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

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

fn cluster_1(&self, descriptors: &Mat) -> Result<Mat>

impl BOWTrainer for BOWKMeansTrainer

fn as_raw_BOWTrainer(&self) -> *const c_void

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

fn add(&mut self, descriptors: &Mat) -> Result<()>

Adds descriptors to a training set.

fn get_descriptors(&self) -> Result<Vector<Mat>>

Returns a training set of descriptors.

fn descriptors_count(&self) -> Result<i32>

Returns the count of all descriptors stored in the training set.

fn clear(&mut self) -> Result<()>

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

Clusters train descriptors.

fn cluster_with_descriptors(&self, descriptors: &Mat) -> Result<Mat>

Clusters train descriptors.

impl Boxed for BOWKMeansTrainer

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 Drop for BOWKMeansTrainer

fn drop(&mut self)

Executes the destructor for this type.

impl Send for BOWKMeansTrainer