Struct opencv::features2d::BOWKMeansTrainer

pub struct BOWKMeansTrainer { /* fields omitted */ }

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

Methods

impl BOWKMeansTrainer

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

The constructor.

@see cv::kmeans

C++ default parameters

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

pub fn default(&self) -> Result<Mat>

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

Trait Implementations

impl BOWTrainer for BOWKMeansTrainer

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

Adds descriptors to a training set.

fn get_descriptors(&self) -> Result<VectorOfMat>

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>

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

Clusters train descriptors.

impl Drop for BOWKMeansTrainer

fn drop(&mut self)

Executes the destructor for this type.