Struct opencv::objdetect::CascadeClassifier

pub struct CascadeClassifier { /* private fields */ }

@example samples/cpp/facedetect.cpp This program demonstrates usage of the Cascade classifier class \image html Cascade_Classifier_Tutorial_Result_Haar.jpg “Sample screenshot” width=321 height=254

Cascade classifier class for object detection.

Implementations

impl CascadeClassifier

pub fn default() -> Result<CascadeClassifier>

pub fn new(filename: &str) -> Result<CascadeClassifier>

Loads a classifier from a file.

Parameters

• filename: Name of the file from which the classifier is loaded.

pub fn convert(oldcascade: &str, newcascade: &str) -> Result<bool>

Trait Implementations

impl Boxed for CascadeClassifier

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 CascadeClassifierTrait for CascadeClassifier

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

fn cc(&mut self) -> Ptr<dyn BaseCascadeClassifier>

fn set_cc(&mut self, val: Ptr<dyn BaseCascadeClassifier>)

fn load(&mut self, filename: &str) -> Result<bool>

Loads a classifier from a file.

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

Reads a classifier from a FileStorage node.

fn detect_multi_scale(
    &mut self,
    image: &dyn ToInputArray,
    objects: &mut Vector<Rect>,
    scale_factor: f64,
    min_neighbors: i32,
    flags: i32,
    min_size: Size,
    max_size: Size
) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale2(
    &mut self,
    image: &dyn ToInputArray,
    objects: &mut Vector<Rect>,
    num_detections: &mut Vector<i32>,
    scale_factor: f64,
    min_neighbors: i32,
    flags: i32,
    min_size: Size,
    max_size: Size
) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale3(
    &mut self,
    image: &dyn ToInputArray,
    objects: &mut Vector<Rect>,
    reject_levels: &mut Vector<i32>,
    level_weights: &mut Vector<f64>,
    scale_factor: f64,
    min_neighbors: i32,
    flags: i32,
    min_size: Size,
    max_size: Size,
    output_reject_levels: bool
) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn get_old_cascade(&mut self) -> Result<*mut c_void>

fn set_mask_generator(
    &mut self,
    mask_generator: &Ptr<dyn BaseCascadeClassifier_MaskGenerator>
) -> Result<()>

fn get_mask_generator(
    &mut self
) -> Result<Ptr<dyn BaseCascadeClassifier_MaskGenerator>>

impl CascadeClassifierTraitConst for CascadeClassifier

fn as_raw_CascadeClassifier(&self) -> *const c_void

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

Checks whether the classifier has been loaded.

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

fn get_original_window_size(&self) -> Result<Size>

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

impl Drop for CascadeClassifier

fn drop(&mut self)

Executes the destructor for this type.

impl Send for CascadeClassifier