pub struct GFTTDetector { /* private fields */ }
Expand description
Wrapping class for feature detection using the goodFeaturesToTrack function. :
Implementations§
Source§impl GFTTDetector
impl GFTTDetector
Sourcepub fn create(
max_corners: i32,
quality_level: f64,
min_distance: f64,
block_size: i32,
use_harris_detector: bool,
k: f64,
) -> Result<Ptr<GFTTDetector>>
pub fn create( max_corners: i32, quality_level: f64, min_distance: f64, block_size: i32, use_harris_detector: bool, k: f64, ) -> Result<Ptr<GFTTDetector>>
§C++ default parameters
- max_corners: 1000
- quality_level: 0.01
- min_distance: 1
- block_size: 3
- use_harris_detector: false
- k: 0.04
Sourcepub fn create_def() -> Result<Ptr<GFTTDetector>>
pub fn create_def() -> Result<Ptr<GFTTDetector>>
§Note
This alternative version of GFTTDetector::create function uses the following default values for its arguments:
- max_corners: 1000
- quality_level: 0.01
- min_distance: 1
- block_size: 3
- use_harris_detector: false
- k: 0.04
Sourcepub fn create_with_gradient(
max_corners: i32,
quality_level: f64,
min_distance: f64,
block_size: i32,
gradiant_size: i32,
use_harris_detector: bool,
k: f64,
) -> Result<Ptr<GFTTDetector>>
pub fn create_with_gradient( max_corners: i32, quality_level: f64, min_distance: f64, block_size: i32, gradiant_size: i32, use_harris_detector: bool, k: f64, ) -> Result<Ptr<GFTTDetector>>
§C++ default parameters
- use_harris_detector: false
- k: 0.04
Sourcepub fn create_with_gradient_def(
max_corners: i32,
quality_level: f64,
min_distance: f64,
block_size: i32,
gradiant_size: i32,
) -> Result<Ptr<GFTTDetector>>
pub fn create_with_gradient_def( max_corners: i32, quality_level: f64, min_distance: f64, block_size: i32, gradiant_size: i32, ) -> Result<Ptr<GFTTDetector>>
§Note
This alternative version of GFTTDetector::create_with_gradient function uses the following default values for its arguments:
- use_harris_detector: false
- k: 0.04
Trait Implementations§
Source§impl AlgorithmTrait for GFTTDetector
impl AlgorithmTrait for GFTTDetector
Source§impl AlgorithmTraitConst for GFTTDetector
impl AlgorithmTraitConst for GFTTDetector
fn as_raw_Algorithm(&self) -> *const c_void
Source§fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
Stores algorithm parameters in a file storage
Source§fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
fn write_1(&self, fs: &mut impl FileStorageTrait, 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 GFTTDetector
impl Boxed for GFTTDetector
Source§unsafe fn from_raw(
ptr: <GFTTDetector as OpenCVFromExtern>::ExternReceive,
) -> Self
unsafe fn from_raw( ptr: <GFTTDetector as OpenCVFromExtern>::ExternReceive, ) -> Self
Wrap the specified raw pointer Read more
Source§fn into_raw(self) -> <GFTTDetector as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw(self) -> <GFTTDetector as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
Source§fn as_raw(&self) -> <GFTTDetector as OpenCVTypeExternContainer>::ExternSend
fn as_raw(&self) -> <GFTTDetector as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
Source§fn as_raw_mut(
&mut self,
) -> <GFTTDetector as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self, ) -> <GFTTDetector as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
Source§impl Debug for GFTTDetector
impl Debug for GFTTDetector
Source§impl Drop for GFTTDetector
impl Drop for GFTTDetector
Source§impl Feature2DTrait for GFTTDetector
impl Feature2DTrait for GFTTDetector
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<()>
Detects keypoints in an image (first variant) or image set (second variant). 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_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>
Source§impl Feature2DTraitConst for GFTTDetector
impl Feature2DTraitConst for GFTTDetector
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 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<()>
Source§impl From<GFTTDetector> for Algorithm
impl From<GFTTDetector> for Algorithm
Source§fn from(s: GFTTDetector) -> Self
fn from(s: GFTTDetector) -> Self
Converts to this type from the input type.
Source§impl From<GFTTDetector> for Feature2D
impl From<GFTTDetector> for Feature2D
Source§fn from(s: GFTTDetector) -> Self
fn from(s: GFTTDetector) -> Self
Converts to this type from the input type.
Source§impl GFTTDetectorTrait for GFTTDetector
impl GFTTDetectorTrait for GFTTDetector
fn as_raw_mut_GFTTDetector(&mut self) -> *mut c_void
fn set_max_features(&mut self, max_features: i32) -> Result<()>
fn set_quality_level(&mut self, qlevel: f64) -> Result<()>
fn set_min_distance(&mut self, min_distance: f64) -> Result<()>
fn set_block_size(&mut self, block_size: i32) -> Result<()>
fn set_gradient_size(&mut self, gradient_size_: i32) -> Result<()>
fn get_gradient_size(&mut self) -> Result<i32>
fn set_harris_detector(&mut self, val: bool) -> Result<()>
fn set_k(&mut self, k: f64) -> Result<()>
Source§impl GFTTDetectorTraitConst for GFTTDetector
impl GFTTDetectorTraitConst for GFTTDetector
fn as_raw_GFTTDetector(&self) -> *const c_void
fn get_max_features(&self) -> Result<i32>
fn get_quality_level(&self) -> Result<f64>
fn get_min_distance(&self) -> Result<f64>
fn get_block_size(&self) -> Result<i32>
fn get_harris_detector(&self) -> Result<bool>
fn get_k(&self) -> Result<f64>
fn get_default_name(&self) -> Result<String>
Source§impl TryFrom<Feature2D> for GFTTDetector
impl TryFrom<Feature2D> for GFTTDetector
impl Send for GFTTDetector
Auto Trait Implementations§
impl Freeze for GFTTDetector
impl RefUnwindSafe for GFTTDetector
impl !Sync for GFTTDetector
impl Unpin for GFTTDetector
impl UnwindSafe for GFTTDetector
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
Source§impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
Source§unsafe fn modify_inplace<Res>(
&mut self,
f: impl FnOnce(&Mat, &mut Mat) -> Res,
) -> Res
unsafe fn modify_inplace<Res>( &mut self, f: impl FnOnce(&Mat, &mut Mat) -> Res, ) -> Res
Helper function to call OpenCV functions that allow in-place modification of a
Mat
or another similar object. By passing
a mutable reference to the Mat
to this function your closure will get called with the read reference and a write references
to the same Mat
. This is unsafe in a general case as it leads to having non-exclusive mutable access to the internal data,
but it can be useful for some performance sensitive operations. One example of an OpenCV function that allows such in-place
modification is imgproc::threshold
. Read more