Class/Object

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

MTImageFeatureToBatch

Related Docs: object MTImageFeatureToBatch | package image

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abstract class MTImageFeatureToBatch extends Transformer[ImageFeature, MiniBatch[Float]]

An abstract class to convert ImageFeature iterator to MiniBatches. This transformer will be run on each image feature. "processImageFeature" will be called to buffer the image features. When there are enough buffered image features to form a batch, "createBatch" will be called. You should override processImageFeature to buffer each image feature, and createBatch to convert the buffered data into a mini-batch

Linear Supertypes
Transformer[ImageFeature, MiniBatch[Float]], Serializable, Serializable, AnyRef, Any
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Inherited
  1. MTImageFeatureToBatch
  2. Transformer
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  4. Serializable
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Abstract Value Members

  1. abstract def createBatch(batchSize: Int): MiniBatch[Float]

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    Attributes
    protected
  2. abstract def processImageFeature(img: ImageFeature, position: Int): Unit

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    Attributes
    protected

Concrete 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[MiniBatch[Float], C]): Transformer[ImageFeature, C]

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    Definition Classes
    Transformer
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. def apply(prev: Iterator[ImageFeature]): Iterator[MiniBatch[Float]]

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    Definition Classes
    MTImageFeatureToBatchTransformer
  6. def apply(dataset: RDD[ImageFeature])(implicit evidence: ClassTag[MiniBatch[Float]]): RDD[MiniBatch[Float]]

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    Apply this transformer to rdd

    Apply this transformer to rdd

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

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    Definition Classes
    Any
  8. val batchSize: Int

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    Attributes
    protected
  9. def clone(): AnyRef

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

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    Definition Classes
    Transformer
  11. final def eq(arg0: AnyRef): Boolean

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

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

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

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

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    AnyRef → Any
  16. final def isInstanceOf[T0]: Boolean

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    Any
  17. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  20. val parallelism: Int

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    Attributes
    protected
  21. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  22. def toString(): String

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    Definition Classes
    AnyRef → Any
  23. final def wait(): Unit

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    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

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    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit

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    Definition Classes
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    @throws( ... )

Inherited from Transformer[ImageFeature, MiniBatch[Float]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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