Struct opencv::saliency::MotionSaliencyBinWangApr2014

pub struct MotionSaliencyBinWangApr2014 { /* fields omitted */ }

!

• A Fast Self-tuning Background Subtraction Algorithm.
• This background subtraction algorithm is inspired to the work of B. Wang and P. Dudek [2]
• [2] B. Wang and P. Dudek "A Fast Self-tuning Background Subtraction Algorithm", in proc of IEEE Workshop on Change Detection, 2014

the Fast Self-tuning Background Subtraction Algorithm from BinWangApr2014

Implementations

impl MotionSaliencyBinWangApr2014

pub fn as_raw_MotionSaliencyBinWangApr2014(&self) -> *const c_void

pub fn as_raw_mut_MotionSaliencyBinWangApr2014(&mut self) -> *mut c_void

impl MotionSaliencyBinWangApr2014

pub fn default() -> Result<MotionSaliencyBinWangApr2014>

pub fn create() -> Result<Ptr<MotionSaliencyBinWangApr2014>>

Trait Implementations

impl AlgorithmTrait for MotionSaliencyBinWangApr2014

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 Boxed for MotionSaliencyBinWangApr2014

pub unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

pub fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

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

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl Drop for MotionSaliencyBinWangApr2014

pub fn drop(&mut self)

Executes the destructor for this type.

impl MotionSaliency for MotionSaliencyBinWangApr2014

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

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

impl MotionSaliencyBinWangApr2014Trait for MotionSaliencyBinWangApr2014

pub fn as_raw_MotionSaliencyBinWangApr2014(&self) -> *const c_void

pub fn as_raw_mut_MotionSaliencyBinWangApr2014(&mut self) -> *mut c_void

pub fn compute_saliency(
    &mut self,
    image: &dyn ToInputArray,
    saliency_map: &mut dyn ToOutputArray
) -> Result<bool>

pub fn set_imagesize(&mut self, w: i32, h: i32) -> Result<()>

This is a utility function that allows to set the correct size (taken from the input image) in the corresponding variables that will be used to size the data structures of the algorithm.

pub fn init(&mut self) -> Result<bool>

This function allows the correct initialization of all data structures that will be used by the algorithm.

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

pub fn set_image_width(&mut self, val: i32) -> Result<()>

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

pub fn set_image_height(&mut self, val: i32) -> Result<()>

impl Saliency for MotionSaliencyBinWangApr2014

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

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

pub fn compute_saliency(
    &mut self,
    image: &dyn ToInputArray,
    saliency_map: &mut dyn ToOutputArray
) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl Send for MotionSaliencyBinWangApr2014