Type Definition opencv::types::PtrOfMACE

type PtrOfMACE = Ptr<dyn MACE>;

Implementations

impl PtrOfMACE

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfMACE

fn as_raw_Algorithm(&self) -> *const c_void

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

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

Clears the algorithm state

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

Stores algorithm parameters in a file storage

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

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

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

Reads algorithm parameters from a file storage

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 MACE for PtrOfMACE

fn as_raw_MACE(&self) -> *const c_void

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

fn salt(&mut self, passphrase: &str) -> Result<()>

optionally encrypt images with random convolution

fn train(&mut self, images: &dyn ToInputArray) -> Result<()>

train it on positive features compute the mace filter: h = D(-1) * X * (X(+) * D(-1) * X)(-1) * C also calculate a minimal threshold for this class, the smallest self-similarity from the train images

fn same(&self, query: &dyn ToInputArray) -> Result<bool>

correlate query img and threshold to min class value