Struct opencv::tracking::TrackerFeatureHAAR

pub struct TrackerFeatureHAAR { /* fields omitted */ }

TrackerFeature based on HAAR features, used by TrackerMIL and many others algorithms

Note: HAAR features implementation is copied from apps/traincascade and modified according to MIL

Implementations

impl TrackerFeatureHAAR

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

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

impl TrackerFeatureHAAR

pub fn new(parameters: &TrackerFeatureHAAR_Params) -> Result<TrackerFeatureHAAR>

Constructor

Parameters

• parameters: TrackerFeatureHAAR parameters TrackerFeatureHAAR::Params

C++ default parameters

• parameters: TrackerFeatureHAAR::Params()

Trait Implementations

impl Boxed for TrackerFeatureHAAR

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 TrackerFeatureHAAR

fn drop(&mut self)

Executes the destructor for this type.

impl Send for TrackerFeatureHAAR

impl TrackerFeature for TrackerFeatureHAAR

fn as_raw_TrackerFeature(&self) -> *const c_void

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

fn compute(&mut self, images: &Vector<Mat>, response: &mut Mat) -> Result<()>

Compute the features in the images collection

fn selection(&mut self, response: &mut Mat, npoints: i32) -> Result<()>

Identify most effective features

fn get_class_name(&self) -> Result<String>

Get the name of the specific TrackerFeature

impl TrackerFeatureHAARTrait for TrackerFeatureHAAR

fn as_raw_TrackerFeatureHAAR(&self) -> *const c_void

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

fn extract_selected(
    &mut self,
    sel_features: Vector<i32>,
    images: &Vector<Mat>,
    response: &mut Mat
) -> Result<bool>

Compute the features only for the selected indices in the images collection

fn selection(&mut self, response: &mut Mat, npoints: i32) -> Result<()>

Identify most effective features

fn swap_feature(&mut self, source: i32, target: i32) -> Result<bool>

Swap the feature in position source with the feature in position target

fn swap_feature_1(
    &mut self,
    id: i32,
    feature: &mut CvHaarEvaluator_FeatureHaar
) -> Result<bool>

Swap the feature in position id with the feature input

fn get_feature_at(&mut self, id: i32) -> Result<CvHaarEvaluator_FeatureHaar>

Get the feature in position id