Struct opencv::video::BackgroundSubtractorMOG2

pub struct BackgroundSubtractorMOG2 { /* private fields */ }

Gaussian Mixture-based Background/Foreground Segmentation Algorithm.

The class implements the Gaussian mixture model background subtraction described in Zivkovic2004 and Zivkovic2006 .

Trait Implementations

impl AlgorithmTrait for BackgroundSubtractorMOG2

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

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

Clears the algorithm state

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

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for BackgroundSubtractorMOG2

fn as_raw_Algorithm(&self) -> *const c_void

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

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

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

@deprecated

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

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

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).

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 BackgroundSubtractorMOG2Trait for BackgroundSubtractorMOG2

fn as_raw_mut_BackgroundSubtractorMOG2(&mut self) -> *mut c_void

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

Sets the number of last frames that affect the background model

fn set_n_mixtures(&mut self, nmixtures: i32) -> Result<()>

Sets the number of gaussian components in the background model.

fn set_background_ratio(&mut self, ratio: f64) -> Result<()>

Sets the “background ratio” parameter of the algorithm

fn set_var_threshold(&mut self, var_threshold: f64) -> Result<()>

Sets the variance threshold for the pixel-model match

fn set_var_threshold_gen(&mut self, var_threshold_gen: f64) -> Result<()>

Sets the variance threshold for the pixel-model match used for new mixture component generation

fn set_var_init(&mut self, var_init: f64) -> Result<()>

Sets the initial variance of each gaussian component

fn set_var_min(&mut self, var_min: f64) -> Result<()>

fn set_var_max(&mut self, var_max: f64) -> Result<()>

fn set_complexity_reduction_threshold(&mut self, ct: f64) -> Result<()>

Sets the complexity reduction threshold

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

Enables or disables shadow detection

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

Sets the shadow value

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

Sets the shadow threshold

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

Computes a foreground mask.

impl BackgroundSubtractorMOG2TraitConst for BackgroundSubtractorMOG2

fn as_raw_BackgroundSubtractorMOG2(&self) -> *const c_void

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

Returns the number of last frames that affect the background model

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

Returns the number of gaussian components in the background model

fn get_background_ratio(&self) -> Result<f64>

Returns the “background ratio” parameter of the algorithm

fn get_var_threshold(&self) -> Result<f64>

Returns the variance threshold for the pixel-model match

fn get_var_threshold_gen(&self) -> Result<f64>

Returns the variance threshold for the pixel-model match used for new mixture component generation

fn get_var_init(&self) -> Result<f64>

Returns the initial variance of each gaussian component

fn get_var_min(&self) -> Result<f64>

fn get_var_max(&self) -> Result<f64>

fn get_complexity_reduction_threshold(&self) -> Result<f64>

Returns the complexity reduction threshold

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

Returns the shadow detection flag

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

Returns the shadow value

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

Returns the shadow threshold

impl BackgroundSubtractorTrait for BackgroundSubtractorMOG2

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

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

Computes a foreground mask.

impl BackgroundSubtractorTraitConst for BackgroundSubtractorMOG2

fn as_raw_BackgroundSubtractor(&self) -> *const c_void

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

Computes a background image.

impl Boxed for BackgroundSubtractorMOG2

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 Debug for BackgroundSubtractorMOG2

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for BackgroundSubtractorMOG2

fn drop(&mut self)

Executes the destructor for this type.

impl From<BackgroundSubtractorMOG2> for Algorithm

fn from(s: BackgroundSubtractorMOG2) -> Self

Converts to this type from the input type.

impl From<BackgroundSubtractorMOG2> for BackgroundSubtractor

fn from(s: BackgroundSubtractorMOG2) -> Self

Converts to this type from the input type.

impl From<CUDA_BackgroundSubtractorMOG2> for BackgroundSubtractorMOG2

fn from(s: CUDA_BackgroundSubtractorMOG2) -> Self

Converts to this type from the input type.

impl TryFrom<BackgroundSubtractor> for BackgroundSubtractorMOG2

type Error = Error

The type returned in the event of a conversion error.

fn try_from(s: BackgroundSubtractor) -> Result<Self>

Performs the conversion.

impl Send for BackgroundSubtractorMOG2