Class/Object

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

BatchSampler

Related Docs: object BatchSampler | package roi

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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] = None, maxOverlap: Option[Double] = None)

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    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

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 clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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