DISOpticalFlow
Objective-C
@interface DISOpticalFlow : DenseOpticalFlow
Swift
class DISOpticalFlow : DenseOpticalFlow
DIS optical flow algorithm.
This class implements the Dense Inverse Search (DIS) optical flow algorithm. More details about the algorithm can be found at CITE: Kroeger2016 . Includes three presets with preselected parameters to provide reasonable trade-off between speed and quality. However, even the slowest preset is still relatively fast, use DeepFlow if you need better quality and don’t care about speed.
This implementation includes several additional features compared to the algorithm described in the paper, including spatial propagation of flow vectors (REF: getUseSpatialPropagation), as well as an option to utilize an initial flow approximation passed to REF: calc (which is, essentially, temporal propagation, if the previous frame’s flow field is passed).
Member of Video
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Declaration
Objective-C
@property (class, readonly) int PRESET_ULTRAFAST
Swift
class var PRESET_ULTRAFAST: Int32 { get }
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Declaration
Objective-C
@property (class, readonly) int PRESET_FAST
Swift
class var PRESET_FAST: Int32 { get }
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Declaration
Objective-C
@property (class, readonly) int PRESET_MEDIUM
Swift
class var PRESET_MEDIUM: Int32 { get }
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Creates an instance of DISOpticalFlow
Declaration
Objective-C
+ (nonnull DISOpticalFlow *)create:(int)preset;
Swift
class func create(preset: Int32) -> DISOpticalFlow
Parameters
preset
one of PRESET_ULTRAFAST, PRESET_FAST and PRESET_MEDIUM
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Creates an instance of DISOpticalFlow
Declaration
Objective-C
+ (nonnull DISOpticalFlow *)create;
Swift
class func create() -> DISOpticalFlow
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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.
Declaration
Objective-C
- (BOOL)getUseMeanNormalization;
Swift
func getUseMeanNormalization() -> Bool
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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.
Declaration
Objective-C
- (BOOL)getUseSpatialPropagation;
Swift
func getUseSpatialPropagation() -> Bool
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Weight of the smoothness term
Declaration
Objective-C
- (float)getVariationalRefinementAlpha;
Swift
func getVariationalRefinementAlpha() -> Float
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Weight of the color constancy term
Declaration
Objective-C
- (float)getVariationalRefinementDelta;
Swift
func getVariationalRefinementDelta() -> Float
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Weight of the gradient constancy term
Declaration
Objective-C
- (float)getVariationalRefinementGamma;
Swift
func getVariationalRefinementGamma() -> Float
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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
-setFinestScale:
Declaration
Objective-C
- (int)getFinestScale;
Swift
func getFinestScale() -> Int32
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Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases.
Declaration
Objective-C
- (int)getGradientDescentIterations;
Swift
func getGradientDescentIterations() -> Int32
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Size of an image patch for matching (in pixels). Normally, default 8x8 patches work well enough in most cases.
See
-setPatchSize:
Declaration
Objective-C
- (int)getPatchSize;
Swift
func getPatchSize() -> Int32
-
Stride between neighbor patches. Must be less than patch size. Lower values correspond to higher flow quality.
See
-setPatchStride:
Declaration
Objective-C
- (int)getPatchStride;
Swift
func getPatchStride() -> Int32
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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.
Declaration
Objective-C
- (int)getVariationalRefinementIterations;
Swift
func getVariationalRefinementIterations() -> Int32
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getFinestScale - see:
-getFinestScale:
Declaration
Objective-C
- (void)setFinestScale:(int)val;
Swift
func setFinestScale(val: Int32)
-
getGradientDescentIterations - see:
-getGradientDescentIterations:
Declaration
Objective-C
- (void)setGradientDescentIterations:(int)val;
Swift
func setGradientDescentIterations(val: Int32)
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getPatchSize - see:
-getPatchSize:
Declaration
Objective-C
- (void)setPatchSize:(int)val;
Swift
func setPatchSize(val: Int32)
-
getPatchStride - see:
-getPatchStride:
Declaration
Objective-C
- (void)setPatchStride:(int)val;
Swift
func setPatchStride(val: Int32)
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getUseMeanNormalization - see:
-getUseMeanNormalization:
Declaration
Objective-C
- (void)setUseMeanNormalization:(BOOL)val;
Swift
func setUseMeanNormalization(val: Bool)
-
getUseSpatialPropagation - see:
-getUseSpatialPropagation:
Declaration
Objective-C
- (void)setUseSpatialPropagation:(BOOL)val;
Swift
func setUseSpatialPropagation(val: Bool)
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getVariationalRefinementAlpha - see:
-getVariationalRefinementAlpha:
Declaration
Objective-C
- (void)setVariationalRefinementAlpha:(float)val;
Swift
func setVariationalRefinementAlpha(val: Float)
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getVariationalRefinementDelta - see:
-getVariationalRefinementDelta:
Declaration
Objective-C
- (void)setVariationalRefinementDelta:(float)val;
Swift
func setVariationalRefinementDelta(val: Float)
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getVariationalRefinementGamma - see:
-getVariationalRefinementGamma:
Declaration
Objective-C
- (void)setVariationalRefinementGamma:(float)val;
Swift
func setVariationalRefinementGamma(val: Float)
-
getGradientDescentIterations - see:
-getGradientDescentIterations:
Declaration
Objective-C
- (void)setVariationalRefinementIterations:(int)val;
Swift
func setVariationalRefinementIterations(val: Int32)