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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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Inherited
  1. ClassificationMTImageFeatureToBatch
  2. MTImageFeatureToBatch
  3. Transformer
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def ->[C](other: Transformer[MiniBatch[Float], C]): Transformer[ImageFeature, C]
    Definition Classes
    Transformer
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def apply(prev: Iterator[ImageFeature]): Iterator[MiniBatch[Float]]
    Definition Classes
    MTImageFeatureToBatch → Transformer
  6. def apply(dataset: RDD[ImageFeature])(implicit evidence: ClassTag[MiniBatch[Float]]): RDD[MiniBatch[Float]]

    Apply this transformer to rdd

    Apply this transformer to rdd

    Definition Classes
    Transformer
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. val batchSize: Int
    Attributes
    protected
    Definition Classes
    MTImageFeatureToBatch
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  10. def cloneTransformer(): Transformer[ImageFeature, MiniBatch[Float]]
    Definition Classes
    Transformer
  11. def createBatch(batch: Int): MiniBatch[Float]
    Attributes
    protected
    Definition Classes
    ClassificationMTImageFeatureToBatch → MTImageFeatureToBatch
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. val parallelism: Int
    Attributes
    protected
    Definition Classes
    MTImageFeatureToBatch
  22. def processImageFeature(img: ImageFeature, position: Int): Unit
    Attributes
    protected
    Definition Classes
    ClassificationMTImageFeatureToBatch → MTImageFeatureToBatch
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
    AnyRef → Any
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @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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