Class/Object

com.intel.analytics.bigdl.transform.vision.image.augmentation

ChannelScaledNormalizer

Related Docs: object ChannelScaledNormalizer | package augmentation

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class ChannelScaledNormalizer extends FeatureTransformer

Channel normalization with scale factor

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

  1. new ChannelScaledNormalizer(meanR: Int, meanG: Int, meanB: Int, scale: Double)

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    meanR

    mean value for channel R

    meanG

    mean value for channel G

    meanB

    mean value for channel B

    scale

    scale value applied for all channels

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

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    Definition Classes
    FeatureTransformerTransformer
  4. def ->(other: FeatureTransformer): FeatureTransformer

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    Definition Classes
    FeatureTransformer
  5. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  6. def apply(imageFrame: ImageFrame): ImageFrame

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    Definition Classes
    FeatureTransformer
  7. def apply(prev: Iterator[ImageFeature]): Iterator[ImageFeature]

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    Definition Classes
    FeatureTransformerTransformer
  8. def apply(dataset: RDD[ImageFeature])(implicit evidence: ClassTag[ImageFeature]): RDD[ImageFeature]

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    Apply this transformer to rdd

    Apply this transformer to rdd

    Definition Classes
    Transformer
  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. def cloneTransformer(): Transformer[ImageFeature, ImageFeature]

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    Definition Classes
    Transformer
  12. def enableIgnoreException(): ChannelScaledNormalizer.this.type

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    catch the exception of the transformer to avoid crashing.

    catch the exception of the transformer to avoid crashing.

    Definition Classes
    FeatureTransformer
  13. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  15. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  16. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  17. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  19. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  20. final def notify(): Unit

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    Definition Classes
    AnyRef
  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  22. def setOutKey(key: String): ChannelScaledNormalizer.this.type

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    set the output key to store current transformed result if the key is not set, or same as default, then the transformed result will be overwritted by the following transformer

    set the output key to store current transformed result if the key is not set, or same as default, then the transformed result will be overwritted by the following transformer

    key

    output key

    Definition Classes
    FeatureTransformer
  23. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  24. def toString(): String

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    Definition Classes
    AnyRef → Any
  25. def transform(feature: ImageFeature): ImageFeature

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    transform feature

    transform feature

    feature

    ImageFeature

    returns

    ImageFeature

    Definition Classes
    FeatureTransformer
  26. def transformMat(feature: ImageFeature): Unit

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    transform mat

    transform mat

    Attributes
    protected
    Definition Classes
    ChannelScaledNormalizerFeatureTransformer
  27. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from FeatureTransformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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