Type Definition opencv::types::PtrOfBackgroundSubtractorKNN

type PtrOfBackgroundSubtractorKNN = Ptr<dyn BackgroundSubtractorKNN>;

Implementations

impl PtrOfBackgroundSubtractorKNN

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfBackgroundSubtractorKNN

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

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

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

Clears the algorithm state

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

Stores algorithm parameters in a file storage

pub fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

pub fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

pub fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

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

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

pub fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl BackgroundSubtractor for PtrOfBackgroundSubtractorKNN

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

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

pub fn apply(
    &mut self,
    image: &dyn ToInputArray,
    fgmask: &mut dyn ToOutputArray,
    learning_rate: f64
) -> Result<()>

Computes a foreground mask.

pub fn get_background_image(
    &self,
    background_image: &mut dyn ToOutputArray
) -> Result<()>

Computes a background image.

impl BackgroundSubtractorKNN for PtrOfBackgroundSubtractorKNN

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

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

pub fn get_history(&self) -> Result<i32>

Returns the number of last frames that affect the background model

pub fn set_history(&mut self, history: i32) -> Result<()>

Sets the number of last frames that affect the background model

pub fn get_n_samples(&self) -> Result<i32>

Returns the number of data samples in the background model

pub fn set_n_samples(&mut self, _n_n: i32) -> Result<()>

Sets the number of data samples in the background model.

pub fn get_dist2_threshold(&self) -> Result<f64>

Returns the threshold on the squared distance between the pixel and the sample

pub fn set_dist2_threshold(&mut self, _dist2_threshold: f64) -> Result<()>

Sets the threshold on the squared distance

pub fn getk_nn_samples(&self) -> Result<i32>

Returns the number of neighbours, the k in the kNN.

pub fn setk_nn_samples(&mut self, _nk_nn: i32) -> Result<()>

Sets the k in the kNN. How many nearest neighbours need to match.

pub fn get_detect_shadows(&self) -> Result<bool>

Returns the shadow detection flag

pub fn set_detect_shadows(&mut self, detect_shadows: bool) -> Result<()>

Enables or disables shadow detection

pub fn get_shadow_value(&self) -> Result<i32>

Returns the shadow value

pub fn set_shadow_value(&mut self, value: i32) -> Result<()>

Sets the shadow value

pub fn get_shadow_threshold(&self) -> Result<f64>

Returns the shadow threshold

pub fn set_shadow_threshold(&mut self, threshold: f64) -> Result<()>

Sets the shadow threshold