Struct opencv::hfs::HfsSegment
source · pub struct HfsSegment { /* private fields */ }
Implementations§
source§impl HfsSegment
impl HfsSegment
sourcepub fn create(
height: i32,
width: i32,
seg_egb_threshold_i: f32,
min_region_size_i: i32,
seg_egb_threshold_ii: f32,
min_region_size_ii: i32,
spatial_weight: f32,
slic_spixel_size: i32,
num_slic_iter: i32
) -> Result<Ptr<HfsSegment>>
pub fn create( height: i32, width: i32, seg_egb_threshold_i: f32, min_region_size_i: i32, seg_egb_threshold_ii: f32, min_region_size_ii: i32, spatial_weight: f32, slic_spixel_size: i32, num_slic_iter: i32 ) -> Result<Ptr<HfsSegment>>
create a hfs object
§Parameters
- height: : the height of the input image
- width: : the width of the input image
- segEgbThresholdI: : parameter segEgbThresholdI
- minRegionSizeI: : parameter minRegionSizeI
- segEgbThresholdII: : parameter segEgbThresholdII
- minRegionSizeII: : parameter minRegionSizeII
- spatialWeight: : parameter spatialWeight
- slicSpixelSize: : parameter slicSpixelSize
- numSlicIter: : parameter numSlicIter
§C++ default parameters
- seg_egb_threshold_i: 0.08f
- min_region_size_i: 100
- seg_egb_threshold_ii: 0.28f
- min_region_size_ii: 200
- spatial_weight: 0.6f
- slic_spixel_size: 8
- num_slic_iter: 5
sourcepub fn create_def(height: i32, width: i32) -> Result<Ptr<HfsSegment>>
pub fn create_def(height: i32, width: i32) -> Result<Ptr<HfsSegment>>
create a hfs object
§Parameters
- height: : the height of the input image
- width: : the width of the input image
- segEgbThresholdI: : parameter segEgbThresholdI
- minRegionSizeI: : parameter minRegionSizeI
- segEgbThresholdII: : parameter segEgbThresholdII
- minRegionSizeII: : parameter minRegionSizeII
- spatialWeight: : parameter spatialWeight
- slicSpixelSize: : parameter slicSpixelSize
- numSlicIter: : parameter numSlicIter
§Note
This alternative version of HfsSegment::create function uses the following default values for its arguments:
- seg_egb_threshold_i: 0.08f
- min_region_size_i: 100
- seg_egb_threshold_ii: 0.28f
- min_region_size_ii: 200
- spatial_weight: 0.6f
- slic_spixel_size: 8
- num_slic_iter: 5
Trait Implementations§
source§impl AlgorithmTrait for HfsSegment
impl AlgorithmTrait for HfsSegment
source§impl AlgorithmTraitConst for HfsSegment
impl AlgorithmTraitConst for HfsSegment
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 HfsSegment
impl Boxed for HfsSegment
source§unsafe fn from_raw(ptr: <HfsSegment as OpenCVFromExtern>::ExternReceive) -> Self
unsafe fn from_raw(ptr: <HfsSegment as OpenCVFromExtern>::ExternReceive) -> Self
Wrap the specified raw pointer Read more
source§fn into_raw(self) -> <HfsSegment as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw(self) -> <HfsSegment as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
source§fn as_raw(&self) -> <HfsSegment as OpenCVTypeExternContainer>::ExternSend
fn as_raw(&self) -> <HfsSegment as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
source§fn as_raw_mut(
&mut self
) -> <HfsSegment as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self ) -> <HfsSegment as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
source§impl Debug for HfsSegment
impl Debug for HfsSegment
source§impl Drop for HfsSegment
impl Drop for HfsSegment
source§impl From<HfsSegment> for Algorithm
impl From<HfsSegment> for Algorithm
source§fn from(s: HfsSegment) -> Self
fn from(s: HfsSegment) -> Self
Converts to this type from the input type.
source§impl HfsSegmentTrait for HfsSegment
impl HfsSegmentTrait for HfsSegment
fn as_raw_mut_HfsSegment(&mut self) -> *mut c_void
source§fn set_seg_egb_threshold_i(&mut self, c: f32) -> Result<()>
fn set_seg_egb_threshold_i(&mut self, c: f32) -> Result<()>
set and get the parameter segEgbThresholdI.
This parameter is used in the second stage mentioned above.
It is a constant used to threshold weights of the edge when merging
adjacent nodes when applying EGB algorithm. The segmentation result
tends to have more regions remained if this value is large and vice versa.
fn get_seg_egb_threshold_i(&mut self) -> Result<f32>
source§fn set_min_region_size_i(&mut self, n: i32) -> Result<()>
fn set_min_region_size_i(&mut self, n: i32) -> Result<()>
set and get the parameter minRegionSizeI.
This parameter is used in the second stage
mentioned above. After the EGB segmentation, regions that have fewer
pixels then this parameter will be merged into it’s adjacent region.
fn get_min_region_size_i(&mut self) -> Result<i32>
source§fn set_seg_egb_threshold_ii(&mut self, c: f32) -> Result<()>
fn set_seg_egb_threshold_ii(&mut self, c: f32) -> Result<()>
set and get the parameter segEgbThresholdII.
This parameter is used in the third stage
mentioned above. It serves the same purpose as segEgbThresholdI.
The segmentation result tends to have more regions remained if
this value is large and vice versa.
fn get_seg_egb_threshold_ii(&mut self) -> Result<f32>
source§fn set_min_region_size_ii(&mut self, n: i32) -> Result<()>
fn set_min_region_size_ii(&mut self, n: i32) -> Result<()>
set and get the parameter minRegionSizeII.
This parameter is used in the third stage
mentioned above. It serves the same purpose as minRegionSizeI
fn get_min_region_size_ii(&mut self) -> Result<i32>
source§fn set_spatial_weight(&mut self, w: f32) -> Result<()>
fn set_spatial_weight(&mut self, w: f32) -> Result<()>
set and get the parameter spatialWeight.
This parameter is used in the first stage
mentioned above(the SLIC stage). It describes how important is the role
of position when calculating the distance between each pixel and it’s
center. The exact formula to calculate the distance is
inline formula.
The segmentation result tends to have more local consistency
if this value is larger. Read more
fn get_spatial_weight(&mut self) -> Result<f32>
source§fn set_slic_spixel_size(&mut self, n: i32) -> Result<()>
fn set_slic_spixel_size(&mut self, n: i32) -> Result<()>
set and get the parameter slicSpixelSize.
This parameter is used in the first stage mentioned
above(the SLIC stage). It describes the size of each
superpixel when initializing SLIC. Every superpixel
approximately has inline formula
pixels in the beginning. Read more
fn get_slic_spixel_size(&mut self) -> Result<i32>
source§fn set_num_slic_iter(&mut self, n: i32) -> Result<()>
fn set_num_slic_iter(&mut self, n: i32) -> Result<()>
set and get the parameter numSlicIter.
This parameter is used in the first stage. It
describes how many iteration to perform when executing SLIC.
fn get_num_slic_iter(&mut self) -> Result<i32>
source§fn perform_segment_gpu(
&mut self,
src: &impl ToInputArray,
if_draw: bool
) -> Result<Mat>
fn perform_segment_gpu( &mut self, src: &impl ToInputArray, if_draw: bool ) -> Result<Mat>
do segmentation gpu Read more
source§fn perform_segment_gpu_def(&mut self, src: &impl ToInputArray) -> Result<Mat>
fn perform_segment_gpu_def(&mut self, src: &impl ToInputArray) -> Result<Mat>
do segmentation gpu Read more
source§fn perform_segment_cpu(
&mut self,
src: &impl ToInputArray,
if_draw: bool
) -> Result<Mat>
fn perform_segment_cpu( &mut self, src: &impl ToInputArray, if_draw: bool ) -> Result<Mat>
do segmentation with cpu
This method is only implemented for reference.
It is highly NOT recommanded to use it. Read more
source§fn perform_segment_cpu_def(&mut self, src: &impl ToInputArray) -> Result<Mat>
fn perform_segment_cpu_def(&mut self, src: &impl ToInputArray) -> Result<Mat>
do segmentation with cpu
This method is only implemented for reference.
It is highly NOT recommanded to use it. Read more
source§impl HfsSegmentTraitConst for HfsSegment
impl HfsSegmentTraitConst for HfsSegment
fn as_raw_HfsSegment(&self) -> *const c_void
impl Send for HfsSegment
Auto Trait Implementations§
impl Freeze for HfsSegment
impl RefUnwindSafe for HfsSegment
impl !Sync for HfsSegment
impl Unpin for HfsSegment
impl UnwindSafe for HfsSegment
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 of course unsafe as it breaks the Rust aliasing rules, but it might be useful for some performance
sensitive operations. One example of an OpenCV function that allows such in-place modification is imgproc::threshold
. Read more