com.intel.analytics.bigdl.nn

Anchor

class Anchor extends Serializable

Generates a regular grid of multi-scale, multi-aspect anchor boxes.

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Instance Constructors

  1. new Anchor(ratios: Array[Float], scales: Array[Float])

Value Members

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

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

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  3. final def ##(): Int

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

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

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  6. val anchorNum: Int

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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

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  11. def finalize(): Unit

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  12. def generateAnchors(width: Int, height: Int, featStride: Float = 16): Tensor[Float]

    first generate shiftX and shiftY over the whole feature map then apply shifts for each basic anchors

    first generate shiftX and shiftY over the whole feature map then apply shifts for each basic anchors

    width

    feature map width

    height

    feature map height

    featStride

    stride to move

    returns

    all anchors over the feature map

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

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  14. def hashCode(): Int

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  15. var hs: Tensor[Float]

  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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  25. var ws: Tensor[Float]

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