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com.intel.analytics.zoo.models.image.objectdetection.common.evaluation

EvalUtil

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object EvalUtil

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

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  2. final def ##(): Int

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  6. def computeAP(results: Array[(Float, Int, Int)], use07Metric: Boolean, nLabelPos: Int): Double

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    compute average precision

    compute average precision

    results

    (score, tp, fp)

    use07Metric

    is true, use 11 points evaluation

    nLabelPos

    number of positive lables

    returns

    ap

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

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  9. def evaluateBatch(results: Array[Array[RoiLabel]], gt: Tensor[Float], gtAreas: Tensor[Float], clsInd: Int, ovThresh: Double = 0.5, use07Metric: Boolean = false, normalized: Boolean = false): (Int, Array[(Float, Int, Int)])

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    Evaluate batch from result

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  19. final def wait(): Unit

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

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