Type Definition opencv::types::PtrOfDISOpticalFlow

pub type PtrOfDISOpticalFlow = Ptr<dyn DISOpticalFlow>;

Implementations

impl PtrOfDISOpticalFlow

pub fn as_raw_PtrOfDISOpticalFlow(&self) -> *const c_void

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

Trait Implementations

impl AlgorithmTrait for PtrOfDISOpticalFlow

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for PtrOfDISOpticalFlow

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

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).

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.

impl DISOpticalFlow for PtrOfDISOpticalFlow

fn as_raw_mut_DISOpticalFlow(&mut self) -> *mut c_void

fn set_finest_scale(&mut self, val: i32) -> Result<()>

Finest level of the Gaussian pyramid on which the flow is computed (zero level corresponds to the original image resolution). The final flow is obtained by bilinear upscaling.

fn set_patch_size(&mut self, val: i32) -> Result<()>

Size of an image patch for matching (in pixels). Normally, default 8x8 patches work well enough in most cases.

fn set_patch_stride(&mut self, val: i32) -> Result<()>

Stride between neighbor patches. Must be less than patch size. Lower values correspond to higher flow quality.

fn set_gradient_descent_iterations(&mut self, val: i32) -> Result<()>

Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases.

fn set_variational_refinement_iterations(&mut self, val: i32) -> Result<()>

Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases.

fn set_variational_refinement_alpha(&mut self, val: f32) -> Result<()>

Weight of the smoothness term

fn set_variational_refinement_delta(&mut self, val: f32) -> Result<()>

Weight of the color constancy term

fn set_variational_refinement_gamma(&mut self, val: f32) -> Result<()>

Weight of the gradient constancy term

fn set_use_mean_normalization(&mut self, val: bool) -> Result<()>

Whether to use mean-normalization of patches when computing patch distance. It is turned on by default as it typically provides a noticeable quality boost because of increased robustness to illumination variations. Turn it off if you are certain that your sequence doesn’t contain any changes in illumination.

fn set_use_spatial_propagation(&mut self, val: bool) -> Result<()>

Whether to use spatial propagation of good optical flow vectors. This option is turned on by default, as it tends to work better on average and can sometimes help recover from major errors introduced by the coarse-to-fine scheme employed by the DIS optical flow algorithm. Turning this option off can make the output flow field a bit smoother, however.

impl DISOpticalFlowConst for PtrOfDISOpticalFlow

fn as_raw_DISOpticalFlow(&self) -> *const c_void

fn get_finest_scale(&self) -> Result<i32>

Finest level of the Gaussian pyramid on which the flow is computed (zero level corresponds to the original image resolution). The final flow is obtained by bilinear upscaling.

fn get_patch_size(&self) -> Result<i32>

Size of an image patch for matching (in pixels). Normally, default 8x8 patches work well enough in most cases.

fn get_patch_stride(&self) -> Result<i32>

Stride between neighbor patches. Must be less than patch size. Lower values correspond to higher flow quality.

fn get_gradient_descent_iterations(&self) -> Result<i32>

Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases.

fn get_variational_refinement_iterations(&self) -> Result<i32>

Number of fixed point iterations of variational refinement per scale. Set to zero to disable variational refinement completely. Higher values will typically result in more smooth and high-quality flow.

fn get_variational_refinement_alpha(&self) -> Result<f32>

Weight of the smoothness term

fn get_variational_refinement_delta(&self) -> Result<f32>

Weight of the color constancy term

fn get_variational_refinement_gamma(&self) -> Result<f32>

Weight of the gradient constancy term

fn get_use_mean_normalization(&self) -> Result<bool>

Whether to use mean-normalization of patches when computing patch distance. It is turned on by default as it typically provides a noticeable quality boost because of increased robustness to illumination variations. Turn it off if you are certain that your sequence doesn’t contain any changes in illumination.

fn get_use_spatial_propagation(&self) -> Result<bool>

Whether to use spatial propagation of good optical flow vectors. This option is turned on by default, as it tends to work better on average and can sometimes help recover from major errors introduced by the coarse-to-fine scheme employed by the DIS optical flow algorithm. Turning this option off can make the output flow field a bit smoother, however.

impl DenseOpticalFlow for PtrOfDISOpticalFlow

fn as_raw_mut_DenseOpticalFlow(&mut self) -> *mut c_void

fn calc(
    &mut self,
    i0: &dyn ToInputArray,
    i1: &dyn ToInputArray,
    flow: &mut dyn ToInputOutputArray
) -> Result<()>

Calculates an optical flow.

fn collect_garbage(&mut self) -> Result<()>

Releases all inner buffers.

impl DenseOpticalFlowConst for PtrOfDISOpticalFlow

fn as_raw_DenseOpticalFlow(&self) -> *const c_void