Struct opencv::features2d::FastFeatureDetector
source · pub struct FastFeatureDetector { /* private fields */ }
Expand description
Wrapping class for feature detection using the FAST method. :
Implementations§
source§impl FastFeatureDetector
impl FastFeatureDetector
sourcepub fn create(
threshold: i32,
nonmax_suppression: bool,
typ: FastFeatureDetector_DetectorType
) -> Result<Ptr<FastFeatureDetector>>
pub fn create( threshold: i32, nonmax_suppression: bool, typ: FastFeatureDetector_DetectorType ) -> Result<Ptr<FastFeatureDetector>>
C++ default parameters
- threshold: 10
- nonmax_suppression: true
- typ: FastFeatureDetector::TYPE_9_16
sourcepub fn create_def() -> Result<Ptr<FastFeatureDetector>>
pub fn create_def() -> Result<Ptr<FastFeatureDetector>>
Note
This alternative version of FastFeatureDetector::create function uses the following default values for its arguments:
- threshold: 10
- nonmax_suppression: true
- typ: FastFeatureDetector::TYPE_9_16
Trait Implementations§
source§impl AlgorithmTrait for FastFeatureDetector
impl AlgorithmTrait for FastFeatureDetector
source§impl AlgorithmTraitConst for FastFeatureDetector
impl AlgorithmTraitConst for FastFeatureDetector
fn as_raw_Algorithm(&self) -> *const c_void
source§fn write(&self, fs: &mut FileStorage) -> Result<()>
fn write(&self, fs: &mut FileStorage) -> Result<()>
Stores algorithm parameters in a file storage
source§fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
Stores algorithm parameters in a file storage Read more
source§fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
@deprecated Read more
source§fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>
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: Read more
source§fn empty(&self) -> Result<bool>
fn empty(&self) -> Result<bool>
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
source§fn save(&self, filename: &str) -> Result<()>
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).
source§fn get_default_name(&self) -> Result<String>
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.
source§impl Boxed for FastFeatureDetector
impl Boxed for FastFeatureDetector
source§impl Debug for FastFeatureDetector
impl Debug for FastFeatureDetector
source§impl Drop for FastFeatureDetector
impl Drop for FastFeatureDetector
source§impl FastFeatureDetectorTraitConst for FastFeatureDetector
impl FastFeatureDetectorTraitConst for FastFeatureDetector
fn as_raw_FastFeatureDetector(&self) -> *const c_void
fn get_threshold(&self) -> Result<i32>
fn get_nonmax_suppression(&self) -> Result<bool>
fn get_type(&self) -> Result<FastFeatureDetector_DetectorType>
fn get_default_name(&self) -> Result<String>
source§impl Feature2DTrait for FastFeatureDetector
impl Feature2DTrait for FastFeatureDetector
fn as_raw_mut_Feature2D(&mut self) -> *mut c_void
source§fn detect(
&mut self,
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
mask: &impl ToInputArray
) -> Result<()>
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). Read more
source§fn detect_def(
&mut self,
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>
) -> Result<()>
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). Read more
source§fn detect_multiple(
&mut self,
images: &impl ToInputArray,
keypoints: &mut Vector<Vector<KeyPoint>>,
masks: &impl ToInputArray
) -> Result<()>
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). Read more
source§fn detect_multiple_def(
&mut self,
images: &impl ToInputArray,
keypoints: &mut Vector<Vector<KeyPoint>>
) -> Result<()>
fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>> ) -> Result<()>
@overload Read more
source§fn compute(
&mut self,
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
descriptors: &mut impl ToOutputArray
) -> Result<()>
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). Read more
source§fn compute_multiple(
&mut self,
images: &impl ToInputArray,
keypoints: &mut Vector<Vector<KeyPoint>>,
descriptors: &mut impl ToOutputArray
) -> Result<()>
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). Read more
source§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<()>
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 Read more
source§fn detect_and_compute_def(
&mut self,
image: &impl ToInputArray,
mask: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
descriptors: &mut impl ToOutputArray
) -> Result<()>
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 Read more
fn read(&mut self, file_name: &str) -> Result<()>
fn read_1(&mut self, unnamed: &FileNode) -> Result<()>
source§impl Feature2DTraitConst for FastFeatureDetector
impl Feature2DTraitConst for FastFeatureDetector
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_1(&self, unnamed: &mut FileStorage) -> Result<()>
fn get_default_name(&self) -> Result<String>
fn write_2(&self, fs: &mut FileStorage, name: &str) -> Result<()>
fn write_3(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
source§impl From<FastFeatureDetector> for Algorithm
impl From<FastFeatureDetector> for Algorithm
source§fn from(s: FastFeatureDetector) -> Self
fn from(s: FastFeatureDetector) -> Self
Converts to this type from the input type.
source§impl From<FastFeatureDetector> for Feature2D
impl From<FastFeatureDetector> for Feature2D
source§fn from(s: FastFeatureDetector) -> Self
fn from(s: FastFeatureDetector) -> Self
Converts to this type from the input type.
source§impl TryFrom<Feature2D> for FastFeatureDetector
impl TryFrom<Feature2D> for FastFeatureDetector
impl Send for FastFeatureDetector
Auto Trait Implementations§
impl RefUnwindSafe for FastFeatureDetector
impl !Sync for FastFeatureDetector
impl Unpin for FastFeatureDetector
impl UnwindSafe for FastFeatureDetector
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more