Type Definition opencv::types::PtrOfCascadeClassifier

type PtrOfCascadeClassifier = Ptr<dyn CascadeClassifier>;

Implementations

impl PtrOfCascadeClassifier

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfCascadeClassifier

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 CascadeClassifier for PtrOfCascadeClassifier

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

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

pub fn set_max_object_size(&mut self, max_object_size: Size) -> Result<()>

Maximum possible object size. Objects larger than that are ignored. Used for second signature and supported only for LBP cascades.

pub fn get_max_object_size(&self) -> Result<Size>

pub fn set_min_object_size(&mut self, min_size: Size) -> Result<()>

Minimum possible object size. Objects smaller than that are ignored.

pub fn get_min_object_size(&self) -> Result<Size>

pub fn set_scale_factor(&mut self, scale_factor: f64) -> Result<()>

Parameter specifying how much the image size is reduced at each image scale.

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

pub fn set_min_neighbors(&mut self, min_neighbors: i32) -> Result<()>

Parameter specifying how many neighbors each candidate rectangle should have to retain it.

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

pub fn set_find_largest_object(
    &mut self,
    find_largest_object: bool
) -> Result<()>

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

pub fn set_max_num_objects(&mut self, max_num_objects: i32) -> Result<()>

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

pub fn get_classifier_size(&self) -> Result<Size>

pub fn detect_multi_scale(
    &mut self,
    image: &dyn ToInputArray,
    objects: &mut dyn ToOutputArray,
    stream: &mut Stream
) -> Result<()>

Detects objects of different sizes in the input image.

pub fn convert(
    &mut self,
    gpu_objects: &mut dyn ToOutputArray,
    objects: &mut Vector<Rect>
) -> Result<()>

Converts objects array from internal representation to standard vector.