Struct opencv::features2d::BOWKMeansTrainer
source · pub struct BOWKMeansTrainer { /* private fields */ }
Expand description
kmeans -based class to train visual vocabulary using the bag of visual words approach. :
Implementations§
source§impl BOWKMeansTrainer
impl BOWKMeansTrainer
sourcepub fn new(
cluster_count: i32,
termcrit: TermCriteria,
attempts: i32,
flags: i32
) -> Result<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§
source§impl BOWKMeansTrainerTrait for BOWKMeansTrainer
impl BOWKMeansTrainerTrait for BOWKMeansTrainer
fn as_raw_mut_BOWKMeansTrainer(&mut self) -> *mut c_void
source§impl BOWTrainer for BOWKMeansTrainer
impl BOWTrainer for BOWKMeansTrainer
source§impl BOWTrainerConst for BOWKMeansTrainer
impl BOWTrainerConst for BOWKMeansTrainer
fn as_raw_BOWTrainer(&self) -> *const c_void
source§fn descriptors_count(&self) -> Result<i32>
fn descriptors_count(&self) -> Result<i32>
Returns the count of all descriptors stored in the training set.