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

ClassificationMTImageFeatureToBatch

class ClassificationMTImageFeatureToBatch extends MTImageFeatureToBatch

A transformer pipeline wrapper to create labeled Minibatch in multiple threads for classification

Linear Supertypes
MTImageFeatureToBatch, Transformer[ImageFeature, MiniBatch[Float]], Serializable, Serializable, AnyRef, Any
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  1. ClassificationMTImageFeatureToBatch
  2. MTImageFeatureToBatch
  3. Transformer
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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  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[MiniBatch[Float], C]): Transformer[ImageFeature, C]

    Definition Classes
    Transformer

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  7. def apply(prev: Iterator[ImageFeature]): Iterator[MiniBatch[Float]]

    Definition Classes
    MTImageFeatureToBatch → Transformer

  8. def apply(dataset: RDD[ImageFeature])(implicit evidence: ClassTag[MiniBatch[Float]]): RDD[MiniBatch[Float]]

    Apply this transformer to rdd

    Apply this transformer to rdd

    dataset

    Definition Classes
    Transformer

  9. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  10. val batchSize: Int

    Attributes
    protected
    Definition Classes
    MTImageFeatureToBatch

  11. def clone(): AnyRef

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

  12. def cloneTransformer(): Transformer[ImageFeature, MiniBatch[Float]]

    Definition Classes
    Transformer

  13. def createBatch(batch: Int): MiniBatch[Float]

    Attributes
    protected
    Definition Classes
    ClassificationMTImageFeatureToBatch → MTImageFeatureToBatch

  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. val parallelism: Int

    Attributes
    protected
    Definition Classes
    MTImageFeatureToBatch

  24. def processImageFeature(img: ImageFeature, position: Int): Unit

    Attributes
    protected
    Definition Classes
    ClassificationMTImageFeatureToBatch → MTImageFeatureToBatch

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

    Definition Classes
    AnyRef

  26. def toString(): String

    Definition Classes
    AnyRef → Any

  27. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from MTImageFeatureToBatch

Inherited from Transformer[ImageFeature, MiniBatch[Float]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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