DISOpticalFlow (OpenCV 4.8.0 Java documentation)

java.lang.Object
- org.opencv.core.Algorithm
- - org.opencv.video.DenseOpticalFlow
  - - org.opencv.video.DISOpticalFlow

```
public class DISOpticalFlow
extends 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).

Field Summary

Fields
Modifier and Type Field and Description

static int PRESET_FAST

static int PRESET_MEDIUM

static int PRESET_ULTRAFAST

Fields
Modifier and Type	Field and Description
`static int`	`PRESET_FAST`
`static int`	`PRESET_MEDIUM`
`static int`	`PRESET_ULTRAFAST`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`static DISOpticalFlow`	`__fromPtr__(long addr)`
`static DISOpticalFlow`	`create()` Creates an instance of DISOpticalFlow
`static DISOpticalFlow`	`create(int preset)` Creates an instance of DISOpticalFlow
`int`	`getFinestScale()` Finest level of the Gaussian pyramid on which the flow is computed (zero level corresponds to the original image resolution).
`int`	`getGradientDescentIterations()` Maximum number of gradient descent iterations in the patch inverse search stage.
`int`	`getPatchSize()` Size of an image patch for matching (in pixels).
`int`	`getPatchStride()` Stride between neighbor patches.
`boolean`	`getUseMeanNormalization()` Whether to use mean-normalization of patches when computing patch distance.
`boolean`	`getUseSpatialPropagation()` Whether to use spatial propagation of good optical flow vectors.
`float`	`getVariationalRefinementAlpha()` Weight of the smoothness term SEE: setVariationalRefinementAlpha
`float`	`getVariationalRefinementDelta()` Weight of the color constancy term SEE: setVariationalRefinementDelta
`float`	`getVariationalRefinementGamma()` Weight of the gradient constancy term SEE: setVariationalRefinementGamma
`int`	`getVariationalRefinementIterations()` Number of fixed point iterations of variational refinement per scale.
`void`	`setFinestScale(int val)` getFinestScale SEE: getFinestScale
`void`	`setGradientDescentIterations(int val)` getGradientDescentIterations SEE: getGradientDescentIterations
`void`	`setPatchSize(int val)` getPatchSize SEE: getPatchSize
`void`	`setPatchStride(int val)` getPatchStride SEE: getPatchStride
`void`	`setUseMeanNormalization(boolean val)` getUseMeanNormalization SEE: getUseMeanNormalization
`void`	`setUseSpatialPropagation(boolean val)` getUseSpatialPropagation SEE: getUseSpatialPropagation
`void`	`setVariationalRefinementAlpha(float val)` getVariationalRefinementAlpha SEE: getVariationalRefinementAlpha
`void`	`setVariationalRefinementDelta(float val)` getVariationalRefinementDelta SEE: getVariationalRefinementDelta
`void`	`setVariationalRefinementGamma(float val)` getVariationalRefinementGamma SEE: getVariationalRefinementGamma
`void`	`setVariationalRefinementIterations(int val)` getGradientDescentIterations SEE: getGradientDescentIterations

Methods inherited from class org.opencv.video.DenseOpticalFlow
calc, collectGarbage

Methods inherited from class org.opencv.core.Algorithm
clear, empty, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - PRESET_FAST
```
public static final int PRESET_FAST
```
    See Also:
    
    Constant Field Values
  - PRESET_MEDIUM
```
public static final int PRESET_MEDIUM
```
    See Also:
    
    Constant Field Values
  - PRESET_ULTRAFAST
```
public static final int PRESET_ULTRAFAST
```
    See Also:
    
    Constant Field Values
- Method Detail
  - __fromPtr__
```
public static DISOpticalFlow __fromPtr__(long addr)
```
  - create
```
public static DISOpticalFlow create()
```
    Creates an instance of DISOpticalFlow
    
    Returns:
    
    automatically generated
  - create
```
public static DISOpticalFlow create(int preset)
```
    Creates an instance of DISOpticalFlow
    
    Parameters:
    
    preset - one of PRESET_ULTRAFAST, PRESET_FAST and PRESET_MEDIUM
    
    Returns:
    
    automatically generated
  - getFinestScale
```
public int getFinestScale()
```
    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
    
    Returns:
    
    automatically generated
  - getGradientDescentIterations
```
public int getGradientDescentIterations()
```
    Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases. SEE: setGradientDescentIterations
    
    Returns:
    
    automatically generated
  - getPatchSize
```
public int getPatchSize()
```
    Size of an image patch for matching (in pixels). Normally, default 8x8 patches work well enough in most cases. SEE: setPatchSize
    
    Returns:
    
    automatically generated
  - getPatchStride
```
public int getPatchStride()
```
    Stride between neighbor patches. Must be less than patch size. Lower values correspond to higher flow quality. SEE: setPatchStride
    
    Returns:
    
    automatically generated
  - getUseMeanNormalization
```
public boolean getUseMeanNormalization()
```
    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: setUseMeanNormalization
    
    Returns:
    
    automatically generated
  - getUseSpatialPropagation
```
public boolean getUseSpatialPropagation()
```
    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: setUseSpatialPropagation
    
    Returns:
    
    automatically generated
  - getVariationalRefinementAlpha
```
public float getVariationalRefinementAlpha()
```
    Weight of the smoothness term SEE: setVariationalRefinementAlpha
    
    Returns:
    
    automatically generated
  - getVariationalRefinementDelta
```
public float getVariationalRefinementDelta()
```
    Weight of the color constancy term SEE: setVariationalRefinementDelta
    
    Returns:
    
    automatically generated
  - getVariationalRefinementGamma
```
public float getVariationalRefinementGamma()
```
    Weight of the gradient constancy term SEE: setVariationalRefinementGamma
    
    Returns:
    
    automatically generated
  - getVariationalRefinementIterations
```
public int getVariationalRefinementIterations()
```
    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: setGradientDescentIterations
    
    Returns:
    
    automatically generated
  - setFinestScale
```
public void setFinestScale(int val)
```
    getFinestScale SEE: getFinestScale
    
    Parameters:
    
    val - automatically generated
  - setGradientDescentIterations
```
public void setGradientDescentIterations(int val)
```
    getGradientDescentIterations SEE: getGradientDescentIterations
    
    Parameters:
    
    val - automatically generated
  - setPatchSize
```
public void setPatchSize(int val)
```
    getPatchSize SEE: getPatchSize
    
    Parameters:
    
    val - automatically generated
  - setPatchStride
```
public void setPatchStride(int val)
```
    getPatchStride SEE: getPatchStride
    
    Parameters:
    
    val - automatically generated
  - setUseMeanNormalization
```
public void setUseMeanNormalization(boolean val)
```
    getUseMeanNormalization SEE: getUseMeanNormalization
    
    Parameters:
    
    val - automatically generated
  - setUseSpatialPropagation
```
public void setUseSpatialPropagation(boolean val)
```
    getUseSpatialPropagation SEE: getUseSpatialPropagation
    
    Parameters:
    
    val - automatically generated
  - setVariationalRefinementAlpha
```
public void setVariationalRefinementAlpha(float val)
```
    getVariationalRefinementAlpha SEE: getVariationalRefinementAlpha
    
    Parameters:
    
    val - automatically generated
  - setVariationalRefinementDelta
```
public void setVariationalRefinementDelta(float val)
```
    getVariationalRefinementDelta SEE: getVariationalRefinementDelta
    
    Parameters:
    
    val - automatically generated
  - setVariationalRefinementGamma
```
public void setVariationalRefinementGamma(float val)
```
    getVariationalRefinementGamma SEE: getVariationalRefinementGamma
    
    Parameters:
    
    val - automatically generated
  - setVariationalRefinementIterations
```
public void setVariationalRefinementIterations(int val)
```
    getGradientDescentIterations SEE: getGradientDescentIterations
    
    Parameters:
    
    val - automatically generated

Class DISOpticalFlow

Field Summary

Method Summary

Methods inherited from class org.opencv.video.DenseOpticalFlow

Methods inherited from class org.opencv.core.Algorithm

Methods inherited from class java.lang.Object

Field Detail

PRESET_FAST

PRESET_MEDIUM

PRESET_ULTRAFAST

Method Detail

__fromPtr__

create

create

getFinestScale

getGradientDescentIterations

getPatchSize

getPatchStride

getUseMeanNormalization

getUseSpatialPropagation

getVariationalRefinementAlpha

getVariationalRefinementDelta

getVariationalRefinementGamma

getVariationalRefinementIterations

setFinestScale

setGradientDescentIterations

setPatchSize

setPatchStride

setUseMeanNormalization

setUseSpatialPropagation

setVariationalRefinementAlpha

setVariationalRefinementDelta

setVariationalRefinementGamma

setVariationalRefinementIterations

fromPtr