Struct opencv::cudaobjdetect::CUDA_CascadeClassifier

pub struct CUDA_CascadeClassifier { /* private fields */ }

Cascade classifier class used for object detection. Supports HAAR and LBP cascades. :

Note:

• A cascade classifier example can be found at opencv_source_code/samples/gpu/cascadeclassifier.cpp
• A Nvidea API specific cascade classifier example can be found at opencv_source_code/samples/gpu/cascadeclassifier_nvidia_api.cpp

Implementations

impl CUDA_CascadeClassifier

pub fn create(filename: &str) -> Result<Ptr<CUDA_CascadeClassifier>>

Loads the classifier from a file. Cascade type is detected automatically by constructor parameter.

Parameters

• filename: Name of the file from which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA’s nvbin are supported for HAAR and only new type of OpenCV XML cascade supported for LBP. The working haar models can be found at opencv_folder/data/haarcascades_cuda/

pub fn create_1( file: &impl FileStorageTraitConst ) -> Result<Ptr<CUDA_CascadeClassifier>>

Loads the classifier from a file. Cascade type is detected automatically by constructor parameter.

Parameters

• filename: Name of the file from which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA’s nvbin are supported for HAAR and only new type of OpenCV XML cascade supported for LBP. The working haar models can be found at opencv_folder/data/haarcascades_cuda/

Overloaded parameters

Trait Implementations

impl AlgorithmTrait for CUDA_CascadeClassifier

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

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

Clears the algorithm state

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

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for CUDA_CascadeClassifier

fn as_raw_Algorithm(&self) -> *const c_void

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

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

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

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

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 Boxed for CUDA_CascadeClassifier

unsafe fn from_raw( ptr: <CUDA_CascadeClassifier as OpenCVFromExtern>::ExternReceive ) -> Self

Wrap the specified raw pointer

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

Return the underlying raw pointer while consuming this wrapper.

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

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl CUDA_CascadeClassifierTrait for CUDA_CascadeClassifier

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

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.

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

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

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

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

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

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

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

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

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

fn detect_multi_scale( &mut self, image: &impl ToInputArray, objects: &mut impl ToOutputArray, stream: &mut impl StreamTrait ) -> Result<()>

Detects objects of different sizes in the input image.

fn detect_multi_scale_def( &mut self, image: &impl ToInputArray, objects: &mut impl ToOutputArray ) -> Result<()>

Detects objects of different sizes in the input image.

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

Converts objects array from internal representation to standard vector.

impl CUDA_CascadeClassifierTraitConst for CUDA_CascadeClassifier

fn as_raw_CUDA_CascadeClassifier(&self) -> *const c_void

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

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

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

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

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

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

impl Debug for CUDA_CascadeClassifier

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

Formats the value using the given formatter.

impl Drop for CUDA_CascadeClassifier

fn drop(&mut self)

Executes the destructor for this type.

impl From<CUDA_CascadeClassifier> for Algorithm

fn from(s: CUDA_CascadeClassifier) -> Self

Converts to this type from the input type.

impl Send for CUDA_CascadeClassifier