Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def bboxTransformInv(boxes: Tensor[Float], deltas: Tensor[Float], normalized: Boolean = false): Tensor[Float]

   Note that the output are stored in input deltas

   Note that the output are stored in input deltas

   boxes

   (N, 4)

   deltas

   (N, 4a)

6.  def bboxVote(scoresNms: Tensor[Float], bboxNms: Tensor[Float], scoresAll: Tensor[Float], bboxAll: Tensor[Float], areasBuf: Tensor[Float] = null): RoiLabel
   scoresNms

   N

   bboxNms

   N * 4

   scoresAll

   M

   bboxAll

   M * 4

7.  def clipBoxes(bboxes: Tensor[Float]): Tensor[Float]
8.  def clipBoxes(boxes: Tensor[Float], height: Float, width: Float, minH: Float = 0, minW: Float = 0, scores: Tensor[Float] = null): Int

   Clip boxes to image boundaries.

   Clip boxes to image boundaries. set the score of all boxes with any side smaller than minSize to 0

   boxes

   N * 4a

   height

   height of image

   width

   width of image

   minH

   min height limit

   minW

   min width limit

   scores

   scores for boxes

   returns

   the number of boxes kept (score > 0)

9.  def clone(): AnyRef

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   protected[java.lang]

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10.  def decodeBboxesAll(allLocPreds: Array[Array[Tensor[Float]]], priorBoxes: Tensor[Float], priorVariances: Tensor[Float], nClasses: Int, bgLabel: Int, clipBoxes: Boolean, varianceEncodedInTarget: Boolean, shareLocation: Boolean, output: Array[Array[Tensor[Float]]] = null): Array[Array[Tensor[Float]]]
11.  def decodeBoxes(priorBoxes: Tensor[Float], priorVariances: Tensor[Float], isClipBoxes: Boolean, bboxes: Tensor[Float], varianceEncodedInTarget: Boolean, output: Tensor[Float] = null): Tensor[Float]
12.  def decodeRois(output: Tensor[Float]): Tensor[Float]
13.  def decodeWithWeight(encodeBox: Tensor[Float], bbox: Tensor[Float], weight: Array[Float], decodeBox: Tensor[Float]): Unit
14.  final def eq(arg0: AnyRef): Boolean

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15.  def equals(arg0: Any): Boolean

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16.  def finalize(): Unit

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17.  def getAreas(boxes: Tensor[Float], areas: Tensor[Float], startInd: Int = 1, normalized: Boolean = false): Tensor[Float]

    get the areas of boxes

    get the areas of boxes

    boxes

    N * 4 tensor

    areas

    buffer to store the results

    returns

    areas array

18.  final def getClass(): Class[_]

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    @native()

19.  def getConfidenceScores(conf: Tensor[Float], numPredsPerClass: Int, numClasses: Int, confBuf: Array[Array[Tensor[Float]]] = null): Array[Array[Tensor[Float]]]
20.  def getGroundTruthIndices(result: Tensor[Float]): Map[Int, (Int, Int)]
21.  def getGroundTruths(result: Tensor[Float]): Map[Int, Tensor[Float]]
22.  def getLocPredictions(loc: Tensor[Float], numPredsPerClass: Int, numClasses: Int, shareLocation: Boolean, locPredsBuf: Array[Array[Tensor[Float]]] = null): Array[Array[Tensor[Float]]]
23.  def getPriorBboxes(prior: Tensor[Float], nPriors: Int): (Tensor[Float], Tensor[Float])
24.  def hashCode(): Int

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25.  final def isInstanceOf[T0]: Boolean

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26.  val logger: Logger
27.  final def ne(arg0: AnyRef): Boolean

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28.  final def notify(): Unit

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    @native()

29.  final def notifyAll(): Unit

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30.  def scaleBBox(bboxes: Tensor[Float], height: Float, width: Float): Unit
31.  final def synchronized[T0](arg0: ⇒ T0): T0

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32.  def toString(): String

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33.  final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

35.  final def wait(arg0: Long): Unit

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    @native() @throws( ... )