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

RoiImageFeatureToBatchWithResize

class RoiImageFeatureToBatchWithResize extends MTImageFeatureToBatch

A transformer pipeline wrapper to create RoiMiniBatch in multiple threads. Image features may have different sizes, so firstly we need to calculate max size in one batch, then padding all features to one batch with max size.

Linear Supertypes
MTImageFeatureToBatch, Transformer[ImageFeature, MiniBatch[Float]], Serializable, Serializable, AnyRef, Any
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Inherited
  1. RoiImageFeatureToBatchWithResize
  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(batchSize: Int): MiniBatch[Float]

    Attributes
    protected
    Definition Classes
    RoiImageFeatureToBatchWithResize → 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
    RoiImageFeatureToBatchWithResize → 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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