pub trait DISOpticalFlowConst: DenseOpticalFlowConst {
    fn as_raw_DISOpticalFlow(&self) -> *const c_void;

    fn get_finest_scale(&self) -> Result<i32> { ... }
    fn get_patch_size(&self) -> Result<i32> { ... }
    fn get_patch_stride(&self) -> Result<i32> { ... }
    fn get_gradient_descent_iterations(&self) -> Result<i32> { ... }
    fn get_variational_refinement_iterations(&self) -> Result<i32> { ... }
    fn get_variational_refinement_alpha(&self) -> Result<f32> { ... }
    fn get_variational_refinement_delta(&self) -> Result<f32> { ... }
    fn get_variational_refinement_gamma(&self) -> Result<f32> { ... }
    fn get_use_mean_normalization(&self) -> Result<bool> { ... }
    fn get_use_spatial_propagation(&self) -> Result<bool> { ... }
}
Expand description

Constant methods for crate::video::DISOpticalFlow

Required Methods§

Provided Methods§

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

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

See also

setPatchSize

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

See also

setPatchStride

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

See also

setGradientDescentIterations

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.

See also

setGradientDescentIterations

Weight of the smoothness term

See also

setVariationalRefinementAlpha

Weight of the color constancy term

See also

setVariationalRefinementDelta

Weight of the gradient constancy term

See also

setVariationalRefinementGamma

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

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

Implementors§