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

RandomAspectScale

class RandomAspectScale extends FeatureTransformer

resize the image by randomly choosing a scale

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

  1. new RandomAspectScale(scales: Array[Int], scaleMultipleOf: Int = 1, maxSize: Int = 1000)

    scales

    array of scale options that for random choice

    scaleMultipleOf

    Resize test images so that its width and height are multiples of

    maxSize

    Max pixel size of the longest side of a scaled input image

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    FeatureTransformer → Transformer

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

    Definition Classes
    FeatureTransformer

  6. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  8. def apply(imageFrame: ImageFrame): ImageFrame

    Definition Classes
    FeatureTransformer

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

    Definition Classes
    FeatureTransformer → Transformer

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

    Apply this transformer to rdd

    Apply this transformer to rdd

    dataset

    Definition Classes
    Transformer

  11. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  12. def clone(): AnyRef

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

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

    Definition Classes
    Transformer

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

    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  16. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  18. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  21. final def notify(): Unit

    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  23. def setOutKey(key: String): RandomAspectScale.this.type

    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

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

    Definition Classes
    AnyRef

  25. def toString(): String

    Definition Classes
    AnyRef → Any

  26. def transform(feature: ImageFeature): ImageFeature

    transform feature

    transform feature

    feature

    ImageFeature

    returns

    ImageFeature

    Definition Classes
    FeatureTransformer

  27. def transformMat(feature: ImageFeature): Unit

    transform mat

    transform mat

    Definition Classes
    RandomAspectScale → FeatureTransformer

  28. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from FeatureTransformer

Inherited from Transformer[ImageFeature, ImageFeature]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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