Struct opencv::saliency::ObjectnessBING

pub struct ObjectnessBING { /* fields omitted */ }

the Binarized normed gradients algorithm from BING

Implementations

impl ObjectnessBING

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

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

impl ObjectnessBING

pub fn default() -> Result<ObjectnessBING>

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

Trait Implementations

impl AlgorithmTrait for ObjectnessBING

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 ObjectnessBING

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 ObjectnessBING

pub fn drop(&mut self)

Executes the destructor for this type.

impl Objectness for ObjectnessBING

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

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

impl ObjectnessBINGTrait for ObjectnessBING

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

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

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

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

pub fn write(&self) -> Result<()>

pub fn getobjectness_values(&mut self) -> Result<Vector<f32>>

Return the list of the rectangles' objectness value,

pub fn set_training_path(&mut self, training_path: &str) -> Result<()>

This is a utility function that allows to set the correct path from which the algorithm will load the trained model.

pub fn set_bb_res_dir(&mut self, results_dir: &str) -> Result<()>

This is a utility function that allows to set an arbitrary path in which the algorithm will save the optional results

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

pub fn set_base(&mut self, val: f64) -> Result<()>

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

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

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

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

impl Saliency for ObjectnessBING

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 ObjectnessBING