Struct opencv::types::StitcherRefMut

pub struct StitcherRefMut<'o> { /* fields omitted */ }

Methods from Deref<Target = Stitcher>

pub fn as_raw_Stitcher(&self) -> *mut c_void

pub fn registration_resol(&self) -> Result<f64>

pub fn set_registration_resol(&mut self, resol_mpx: f64) -> Result<()>

pub fn seam_estimation_resol(&self) -> Result<f64>

pub fn set_seam_estimation_resol(&mut self, resol_mpx: f64) -> Result<()>

pub fn compositing_resol(&self) -> Result<f64>

pub fn set_compositing_resol(&mut self, resol_mpx: f64) -> Result<()>

pub fn pano_confidence_thresh(&self) -> Result<f64>

pub fn set_pano_confidence_thresh(&mut self, conf_thresh: f64) -> Result<()>

pub fn wave_correction(&self) -> Result<bool>

pub fn set_wave_correction(&mut self, flag: bool) -> Result<()>

pub fn interpolation_flags(&self) -> Result<InterpolationFlags>

pub fn set_interpolation_flags(
    &mut self,
    interp_flags: InterpolationFlags
) -> Result<()>

pub fn features_finder(&mut self) -> Result<PtrOfFeature2D>

pub fn features_finder_1(&self) -> Result<PtrOfFeature2D>

pub fn set_features_finder(
    &mut self,
    features_finder: &PtrOfFeature2D
) -> Result<()>

pub fn matching_mask(&self) -> Result<UMat>

pub fn set_matching_mask(&mut self, mask: &UMat) -> Result<()>

pub fn estimate_transform(
    &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>

pub fn compose_panorama_images(
    &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>

pub fn stitch_mask(
    &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>

pub fn work_scale(&self) -> Result<f64>

pub fn result_mask(&self) -> Result<UMat>

Trait Implementations

impl<'_> Deref for StitcherRefMut<'_>

type Target = Stitcher

The resulting type after dereferencing.

fn deref(&self) -> &Self::Target

Dereferences the value.

impl<'_> DerefMut for StitcherRefMut<'_>

fn deref_mut(&mut self) -> &mut Self::Target

Mutably dereferences the value.