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

BatchSampler

class BatchSampler extends Serializable

sample box from given parameters, and regard it as positive if it satisfies overlap constraints

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Instance Constructors

  1. new BatchSampler(maxSample: Int = 1, maxTrials: Int = 50, minScale: Double = 1, maxScale: Double = 1, minAspectRatio: Double = 1, maxAspectRatio: Double = 1, minOverlap: Option[Double] = scala.None, maxOverlap: Option[Double] = scala.None)

    maxSample

    maximum random crop samples to be generated

    maxTrials

    maximum trials, if exceed this number, give up anyway

    minScale

    min scale

    maxScale

    max scale

    minAspectRatio

    min aspect ratio

    maxAspectRatio

    max aspect ratio

    minOverlap

    min overlap between sampled box and gt box

    maxOverlap

    max overlap between sampled box and gt box

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def sample(sourceBox: BoundingBox, target: RoiLabel, sampledBoxes: ArrayBuffer[BoundingBox]): Unit

  18. def satisfySampleConstraint(sampledBox: BoundingBox, target: RoiLabel): Boolean

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

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