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: <CascadeClassifier as OpenCVType<'_>>::ExternReceive ) -> Self

Wrap the specified raw pointer

fn into_raw( self ) -> <CascadeClassifier as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> <CascadeClassifier as OpenCVTypeExternContainer>::ExternSend

Return the underlying raw pointer.

fn as_raw_mut( &mut self ) -> <CascadeClassifier as OpenCVTypeExternContainer>::ExternSendMut

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<BaseCascadeClassifier>

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

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

Loads a classifier from a file.

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

Reads a classifier from a FileStorage node.

fn detect_multi_scale( &mut self, image: &impl 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_scale_def( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect> ) -> 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: &impl 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_scale2_def( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, num_detections: &mut Vector<i32> ) -> Result<()>

@overload

fn detect_multi_scale3( &mut self, image: &impl 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 detect_multi_scale3_def( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, reject_levels: &mut Vector<i32>, level_weights: &mut Vector<f64> ) -> Result<()>

@overload This function allows you to retrieve the final stage decision certainty of classification. For this, one needs to set outputRejectLevels on true and provide the rejectLevels and levelWeights parameter. For each resulting detection, levelWeights will then contain the certainty of classification at the final stage. This value can then be used to separate strong from weaker classifications.

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

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

fn get_mask_generator( &mut self ) -> Result<Ptr<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 Debug for CascadeClassifier

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for CascadeClassifier

fn drop(&mut self)

Executes the destructor for this type.

impl Send for CascadeClassifier