Class

com.intel.analytics.zoo.models.image.objectdetection

ScaleDetection

Related Doc: package objectdetection

Permalink

case class ScaleDetection() extends ImageProcessing with Product with Serializable

If the detection is normalized, for example, ssd detected bounding box is in [0, 1], need to scale the bbox according to the original image size. Note that in this transformer, the tensor from model output will be decoded, just like DecodeOutput

Linear Supertypes
Product, Equals, ImageProcessing, Preprocessing[ImageFeature, ImageFeature], FeatureTransformer, Transformer[ImageFeature, ImageFeature], Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ScaleDetection
  2. Product
  3. Equals
  4. ImageProcessing
  5. Preprocessing
  6. FeatureTransformer
  7. Transformer
  8. Serializable
  9. Serializable
  10. AnyRef
  11. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new ScaleDetection()

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  3. def ->(other: ImageProcessing): ImageProcessing

    Permalink
    Definition Classes
    ImageProcessing

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

    Permalink
    Definition Classes
    Preprocessing

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

    Permalink
    Definition Classes
    FeatureTransformer → Transformer

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

    Permalink
    Definition Classes
    FeatureTransformer

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

    Permalink
    Definition Classes
    AnyRef → Any

  8. def apply(textSet: TextSet): TextSet

    Permalink
    Definition Classes
    Preprocessing

  9. def apply(imageSet: ImageSet): ImageSet

    Permalink
    Definition Classes
    Preprocessing

  10. def apply(imageFrame: ImageFrame): ImageFrame

    Permalink
    Definition Classes
    FeatureTransformer

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

    Permalink
    Definition Classes
    FeatureTransformer → Transformer

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

    Permalink
    Definition Classes
    Transformer

  13. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  14. def clipBoxes(bboxes: Tensor[Float]): Tensor[Float]

    Permalink

  15. def clone(): AnyRef

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

  16. def clonePreprocessing(): Preprocessing[ImageFeature, ImageFeature]

    Permalink
    Definition Classes
    Preprocessing

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

    Permalink
    Definition Classes
    Transformer

  18. def enableIgnoreException(): ScaleDetection.this.type

    Permalink
    Definition Classes
    FeatureTransformer

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

    Permalink
    Definition Classes
    AnyRef

  20. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef → Any

  22. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

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

    Permalink
    Definition Classes
    AnyRef

  24. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  25. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  26. def setOutKey(key: String): ScaleDetection.this.type

    Permalink
    Definition Classes
    FeatureTransformer

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

    Permalink
    Definition Classes
    AnyRef

  28. def transform(feature: ImageFeature): ImageFeature

    Permalink
    Definition Classes
    FeatureTransformer

  29. def transformMat(imageFeature: ImageFeature): Unit

    Permalink
    Definition Classes
    ScaleDetection → FeatureTransformer

  30. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from ImageProcessing

Inherited from Preprocessing[ImageFeature, ImageFeature]

Inherited from FeatureTransformer

Inherited from Transformer[ImageFeature, ImageFeature]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped