Struct CUDA_ORB

pub struct CUDA_ORB { /* private fields */ }

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor

See also

cv::ORB

Implementations

impl CUDA_ORB

pub const X_ROW: i32 = 0i32

pub const Y_ROW: i32 = 1i32

pub const RESPONSE_ROW: i32 = 2i32

pub const ANGLE_ROW: i32 = 3i32

pub const OCTAVE_ROW: i32 = 4i32

pub const SIZE_ROW: i32 = 5i32

pub const ROWS_COUNT: i32 = 6i32

pub fn create( nfeatures: i32, scale_factor: f32, nlevels: i32, edge_threshold: i32, first_level: i32, wta_k: i32, score_type: i32, patch_size: i32, fast_threshold: i32, blur_for_descriptor: bool, ) -> Result<Ptr<CUDA_ORB>>

C++ default parameters

• nfeatures: 500
• scale_factor: 1.2f
• nlevels: 8
• edge_threshold: 31
• first_level: 0
• wta_k: 2
• score_type: cv::ORB::HARRIS_SCORE
• patch_size: 31
• fast_threshold: 20
• blur_for_descriptor: false

pub fn create_def() -> Result<Ptr<CUDA_ORB>>

Note

This alternative version of CUDA_ORB::create function uses the following default values for its arguments:

• nfeatures: 500
• scale_factor: 1.2f
• nlevels: 8
• edge_threshold: 31
• first_level: 0
• wta_k: 2
• score_type: cv::ORB::HARRIS_SCORE
• patch_size: 31
• fast_threshold: 20
• blur_for_descriptor: false

Trait Implementations

impl AlgorithmTrait for CUDA_ORB

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_ORB

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_ORB

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

Wrap the specified raw pointer

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

Return the underlying raw pointer while consuming this wrapper.

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

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl CUDA_Feature2DAsyncTrait for CUDA_ORB

fn as_raw_mut_CUDA_Feature2DAsync(&mut self) -> *mut c_void

fn detect_async( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Detects keypoints in an image.

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

Detects keypoints in an image.

fn compute_async( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image.

fn compute_async_def( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image.

fn detect_and_compute_async( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, stream: &mut impl StreamTrait, ) -> Result<()>

Detects keypoints and computes the descriptors.

fn detect_and_compute_async_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors.

fn convert( &mut self, gpu_keypoints: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Converts keypoints array from internal representation to standard vector.

impl CUDA_Feature2DAsyncTraitConst for CUDA_ORB

fn as_raw_CUDA_Feature2DAsync(&self) -> *const c_void

impl CUDA_ORBTrait for CUDA_ORB

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

fn set_max_features(&mut self, max_features: i32) -> Result<()>

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

fn set_n_levels(&mut self, nlevels: i32) -> Result<()>

fn set_edge_threshold(&mut self, edge_threshold: i32) -> Result<()>

fn set_first_level(&mut self, first_level: i32) -> Result<()>

fn set_wta_k(&mut self, wta_k: i32) -> Result<()>

fn set_score_type(&mut self, score_type: i32) -> Result<()>

fn set_patch_size(&mut self, patch_size: i32) -> Result<()>

fn set_fast_threshold(&mut self, fast_threshold: i32) -> Result<()>

fn set_blur_for_descriptor(&mut self, blur_for_descriptor: bool) -> Result<()>

if true, image will be blurred before descriptors calculation

impl CUDA_ORBTraitConst for CUDA_ORB

fn as_raw_CUDA_ORB(&self) -> *const c_void

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

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

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

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

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

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

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

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

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

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

impl Debug for CUDA_ORB

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

Formats the value using the given formatter.

impl Drop for CUDA_ORB

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for CUDA_ORB

fn as_raw_mut_Feature2D(&mut self) -> *mut c_void

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTraitConst for CUDA_ORB

fn as_raw_Feature2D(&self) -> *const c_void

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

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

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

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

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

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

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

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

impl From<CUDA_ORB> for Algorithm

fn from(s: CUDA_ORB) -> Self

Converts to this type from the input type.

impl From<CUDA_ORB> for CUDA_Feature2DAsync

fn from(s: CUDA_ORB) -> Self

Converts to this type from the input type.

impl From<CUDA_ORB> for Feature2D

fn from(s: CUDA_ORB) -> Self

Converts to this type from the input type.

impl TryFrom<CUDA_Feature2DAsync> for CUDA_ORB

type Error = Error

The type returned in the event of a conversion error.

fn try_from(s: CUDA_Feature2DAsync) -> Result<Self>

Performs the conversion.

impl Send for CUDA_ORB