pub trait DISOpticalFlowTrait: DISOpticalFlowTraitConst + DenseOpticalFlowTrait {
// Required method
fn as_raw_mut_DISOpticalFlow(&mut self) -> *mut c_void;
// Provided methods
fn set_finest_scale(&mut self, val: i32) -> Result<()> { ... }
fn set_patch_size(&mut self, val: i32) -> Result<()> { ... }
fn set_patch_stride(&mut self, val: i32) -> Result<()> { ... }
fn set_gradient_descent_iterations(&mut self, val: i32) -> Result<()> { ... }
fn set_variational_refinement_iterations(&mut self, val: i32) -> Result<()> { ... }
fn set_variational_refinement_alpha(&mut self, val: f32) -> Result<()> { ... }
fn set_variational_refinement_delta(&mut self, val: f32) -> Result<()> { ... }
fn set_variational_refinement_gamma(&mut self, val: f32) -> Result<()> { ... }
fn set_variational_refinement_epsilon(&mut self, val: f32) -> Result<()> { ... }
fn set_use_mean_normalization(&mut self, val: bool) -> Result<()> { ... }
fn set_use_spatial_propagation(&mut self, val: bool) -> Result<()> { ... }
}Expand description
Mutable methods for crate::video::DISOpticalFlow
Required Methods§
fn as_raw_mut_DISOpticalFlow(&mut self) -> *mut c_void
Provided Methods§
Sourcefn set_finest_scale(&mut self, val: i32) -> Result<()>
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.
§See also
setFinestScale getFinestScale
Sourcefn set_patch_size(&mut self, val: i32) -> Result<()>
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.
§See also
setPatchSize getPatchSize
Sourcefn set_patch_stride(&mut self, val: i32) -> Result<()>
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.
§See also
setPatchStride getPatchStride
Sourcefn set_gradient_descent_iterations(&mut self, val: i32) -> Result<()>
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.
§See also
setGradientDescentIterations getGradientDescentIterations
Sourcefn set_variational_refinement_iterations(&mut self, val: i32) -> Result<()>
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.
§See also
setGradientDescentIterations getGradientDescentIterations
Sourcefn set_variational_refinement_alpha(&mut self, val: f32) -> Result<()>
fn set_variational_refinement_alpha(&mut self, val: f32) -> Result<()>
Sourcefn set_variational_refinement_delta(&mut self, val: f32) -> Result<()>
fn set_variational_refinement_delta(&mut self, val: f32) -> Result<()>
Weight of the color constancy term
§See also
setVariationalRefinementDelta getVariationalRefinementDelta
Sourcefn set_variational_refinement_gamma(&mut self, val: f32) -> Result<()>
fn set_variational_refinement_gamma(&mut self, val: f32) -> Result<()>
Weight of the gradient constancy term
§See also
setVariationalRefinementGamma getVariationalRefinementGamma
Sourcefn set_variational_refinement_epsilon(&mut self, val: f32) -> Result<()>
fn set_variational_refinement_epsilon(&mut self, val: f32) -> Result<()>
Norm value shift for robust penalizer
§See also
setVariationalRefinementEpsilon getVariationalRefinementEpsilon
Sourcefn set_use_mean_normalization(&mut self, val: bool) -> Result<()>
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.
§See also
setUseMeanNormalization getUseMeanNormalization
Sourcefn set_use_spatial_propagation(&mut self, val: bool) -> Result<()>
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.
§See also
setUseSpatialPropagation getUseSpatialPropagation
Dyn Compatibility§
This trait is not dyn compatible.
In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.