com.intel.analytics.bigdl.dataset.segmentation

RLEMasks

class RLEMasks extends SegmentationMasks

A mask of regions defined by RLE. The masked object(s) should have the same label. This class corresponds to "uncompressed RLE" of COCO dataset. RLE is a compact format for binary masks. Binary masks defines the region by assigning a boolean to every pixel of the image. RLE compresses the binary masks by instead recording the runs of trues and falses in the binary masks. RLE is an array of integer. The first element is the length of run of falses staring from the first pixel. The second element of RLE is the is the length of first run of trues. e.g. binary masks: 00001110000011 RLE: ---4--3----5-2 ====> 4,3,5,2

Also note that we don't use COCO's "compact" RLE string here because this RLE class has better time & space performance.

Linear Supertypes
SegmentationMasks, Serializable, Serializable, AnyRef, Any
Known Subclasses
COCORLE
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Inherited
  1. RLEMasks
  2. SegmentationMasks
  3. Serializable
  4. Serializable
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Instance Constructors

  1. new RLEMasks(counts: Array[Int], height: Int, width: Int)

    counts

    the RLE counts

    height

    height of the image

    width

    width of the image

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. lazy val area: Long

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. lazy val bbox: (Float, Float, Float, Float)

  9. def clone(): AnyRef

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

  10. val counts: Array[Int]

    the RLE counts

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

    Definition Classes
    AnyRef

  12. def equals(obj: Any): Boolean

    Definition Classes
    RLEMasks → AnyRef → Any

  13. def finalize(): Unit

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

  14. def get(idx: Int): Long

    Get an element in the counts.

    Get an element in the counts. Process the overflowed int

    idx
    returns

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

    Definition Classes
    AnyRef → Any

  16. def hashCode(): Int

    Definition Classes
    RLEMasks → AnyRef → Any

  17. val height: Int

    height of the image

  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  20. final def notify(): Unit

    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  22. def size: (Int, Int)

    Get the height and width

    Get the height and width

    Definition Classes
    RLEMasks → SegmentationMasks

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

    Definition Classes
    AnyRef

  24. def toRLE: RLEMasks

    Convert to a RLE encoded masks

    Convert to a RLE encoded masks

    Definition Classes
    RLEMasks → SegmentationMasks

  25. def toString(): String

    Definition Classes
    AnyRef → Any

  26. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  29. val width: Int

    width of the image

Inherited from SegmentationMasks

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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