[−][src]Struct opencv::stitching::Stitcher
High level image stitcher.
It's possible to use this class without being aware of the entire stitching pipeline. However, to be able to achieve higher stitching stability and quality of the final images at least being familiar with the theory is recommended.
Note:
- A basic example on image stitching can be found at opencv_source_code/samples/cpp/stitching.cpp
- A basic example on image stitching in Python can be found at opencv_source_code/samples/python/stitching.py
- A detailed example on image stitching can be found at opencv_source_code/samples/cpp/stitching_detailed.cpp
Methods
impl Stitcher
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pub fn as_raw_Stitcher(&self) -> *mut c_void
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pub unsafe fn from_raw_ptr(ptr: *mut c_void) -> Self
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impl Stitcher
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pub fn create(mode: Stitcher_Mode) -> Result<PtrOfStitcher>
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Creates a Stitcher configured in one of the stitching modes.
Parameters
- mode: Scenario for stitcher operation. This is usually determined by source of images to stitch and their transformation. Default parameters will be chosen for operation in given scenario.
Returns
Stitcher class instance.
C++ default parameters
- mode: Stitcher::PANORAMA
pub fn registration_resol(&self) -> Result<f64>
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pub fn set_registration_resol(&mut self, resol_mpx: f64) -> Result<()>
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pub fn seam_estimation_resol(&self) -> Result<f64>
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pub fn set_seam_estimation_resol(&mut self, resol_mpx: f64) -> Result<()>
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pub fn compositing_resol(&self) -> Result<f64>
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pub fn set_compositing_resol(&mut self, resol_mpx: f64) -> Result<()>
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pub fn pano_confidence_thresh(&self) -> Result<f64>
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pub fn set_pano_confidence_thresh(&mut self, conf_thresh: f64) -> Result<()>
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pub fn wave_correction(&self) -> Result<bool>
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pub fn set_wave_correction(&mut self, flag: bool) -> Result<()>
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pub fn interpolation_flags(&self) -> Result<InterpolationFlags>
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pub fn set_interpolation_flags(
&mut self,
interp_flags: InterpolationFlags
) -> Result<()>
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&mut self,
interp_flags: InterpolationFlags
) -> Result<()>
pub fn features_finder(&mut self) -> Result<PtrOfFeature2D>
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pub fn features_finder_1(&self) -> Result<PtrOfFeature2D>
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pub fn set_features_finder(
&mut self,
features_finder: &PtrOfFeature2D
) -> Result<()>
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&mut self,
features_finder: &PtrOfFeature2D
) -> Result<()>
pub fn matching_mask(&self) -> Result<UMat>
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pub fn set_matching_mask(&mut self, mask: &UMat) -> Result<()>
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pub fn estimate_transform(
&mut self,
images: &dyn ToInputArray,
masks: &dyn ToInputArray
) -> Result<Stitcher_Status>
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&mut self,
images: &dyn ToInputArray,
masks: &dyn ToInputArray
) -> Result<Stitcher_Status>
These functions try to match the given images and to estimate rotations of each camera.
Note: Use the functions only if you're aware of the stitching pipeline, otherwise use Stitcher::stitch.
Parameters
- images: Input images.
- masks: Masks for each input image specifying where to look for keypoints (optional).
Returns
Status code.
C++ default parameters
- masks: noArray()
pub fn compose_panorama(
&mut self,
pano: &mut dyn ToOutputArray
) -> Result<Stitcher_Status>
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&mut self,
pano: &mut dyn ToOutputArray
) -> Result<Stitcher_Status>
pub fn compose_panorama_images(
&mut self,
images: &dyn ToInputArray,
pano: &mut dyn ToOutputArray
) -> Result<Stitcher_Status>
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&mut self,
images: &dyn ToInputArray,
pano: &mut dyn ToOutputArray
) -> Result<Stitcher_Status>
These functions try to compose the given images (or images stored internally from the other function calls) into the final pano under the assumption that the image transformations were estimated before.
Note: Use the functions only if you're aware of the stitching pipeline, otherwise use Stitcher::stitch.
Parameters
- images: Input images.
- pano: Final pano.
Returns
Status code.
pub fn stitch(
&mut self,
images: &dyn ToInputArray,
pano: &mut dyn ToOutputArray
) -> Result<Stitcher_Status>
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&mut self,
images: &dyn ToInputArray,
pano: &mut dyn ToOutputArray
) -> Result<Stitcher_Status>
pub fn stitch_mask(
&mut self,
images: &dyn ToInputArray,
masks: &dyn ToInputArray,
pano: &mut dyn ToOutputArray
) -> Result<Stitcher_Status>
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&mut self,
images: &dyn ToInputArray,
masks: &dyn ToInputArray,
pano: &mut dyn ToOutputArray
) -> Result<Stitcher_Status>
These functions try to stitch the given images.
Parameters
- images: Input images.
- masks: Masks for each input image specifying where to look for keypoints (optional).
- pano: Final pano.
Returns
Status code.
pub fn component(&self) -> Result<VectorOfint>
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pub fn work_scale(&self) -> Result<f64>
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pub fn result_mask(&self) -> Result<UMat>
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Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for Stitcher
impl !Sync for Stitcher
impl Unpin for Stitcher
impl UnwindSafe for Stitcher
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,