Class/Object

com.intel.analytics.zoo.feature.image

PerImageNormalize

Related Docs: object PerImageNormalize | package image

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class PerImageNormalize extends ImageProcessing

Normalizes the norm or value range Per image, similar to opencv::normalize https://docs.opencv.org/ref/master/d2/de8/groupcorearray.html #ga87eef7ee3970f86906d69a92cbf064bd ImageNormalize normalizes scale and shift the input features. Various normalize methods are supported. Eg. NORM_INF, NORM_L1, NORM_L2 or NORM_MINMAX. Pleas notice it's a per image normalization.

Linear Supertypes
ImageProcessing, Preprocessing[ImageFeature, ImageFeature], FeatureTransformer, Transformer[ImageFeature, ImageFeature], Serializable, Serializable, AnyRef, Any
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Inherited
  1. PerImageNormalize
  2. ImageProcessing
  3. Preprocessing
  4. FeatureTransformer
  5. Transformer
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
  1. Public
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Instance Constructors

  1. new PerImageNormalize(min: Double, max: Double, normType: Int = Core.NORM_MINMAX)

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    min

    lower range boundary in case of the range normalization or norm value to normalize

    max

    upper range boundary in case of the range normalization; it is not used for the norm normalization.

    normType

    normalization type, see opencv:NormTypes. https://docs.opencv.org/ref/master/d2/de8/groupcorearray.html #gad12cefbcb5291cf958a85b4b67b6149f Default Core.NORM_MINMAX

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. def ->(other: ImageProcessing): ImageProcessing

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    Definition Classes
    ImageProcessing

  4. def ->[C](other: Preprocessing[ImageFeature, C]): Preprocessing[ImageFeature, C]

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    Definition Classes
    Preprocessing

  5. def ->[C](other: Transformer[ImageFeature, C]): Transformer[ImageFeature, C]

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    Definition Classes
    FeatureTransformer → Transformer

  6. def ->(other: FeatureTransformer): FeatureTransformer

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    Definition Classes
    FeatureTransformer

  7. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  8. def apply(textSet: TextSet): TextSet

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    Definition Classes
    Preprocessing

  9. def apply(imageSet: ImageSet): ImageSet

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    Definition Classes
    Preprocessing

  10. def apply(imageFrame: ImageFrame): ImageFrame

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    Definition Classes
    FeatureTransformer

  11. def apply(prev: Iterator[ImageFeature]): Iterator[ImageFeature]

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    Definition Classes
    FeatureTransformer → Transformer

  12. def apply(dataset: RDD[ImageFeature])(implicit evidence: ClassTag[ImageFeature]): RDD[ImageFeature]

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    Definition Classes
    Transformer

  13. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  14. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  15. def clonePreprocessing(): Preprocessing[ImageFeature, ImageFeature]

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    Definition Classes
    Preprocessing

  16. def cloneTransformer(): Transformer[ImageFeature, ImageFeature]

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    Definition Classes
    Transformer

  17. def enableIgnoreException(): PerImageNormalize.this.type

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    Definition Classes
    FeatureTransformer

  18. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  19. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  20. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  21. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  22. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  23. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  24. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  25. final def notify(): Unit

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    Definition Classes
    AnyRef

  26. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  27. def setOutKey(key: String): PerImageNormalize.this.type

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    Definition Classes
    FeatureTransformer

  28. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  29. def toString(): String

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    Definition Classes
    AnyRef → Any

  30. def transform(feature: ImageFeature): ImageFeature

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    Definition Classes
    FeatureTransformer

  31. def transformMat(feature: ImageFeature): Unit

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    Definition Classes
    PerImageNormalize → FeatureTransformer

  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  33. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  34. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ImageProcessing

Inherited from Preprocessing[ImageFeature, ImageFeature]

Inherited from FeatureTransformer

Inherited from Transformer[ImageFeature, ImageFeature]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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