com.intel.analytics.bigdl.optim

MAPUtil

object MAPUtil

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  11. def findTopK(k: Int, arr: Array[Array[Float]], column: Int): Array[(Int, Float)]

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  13. def gtTablesToGroundTruthRegions(gtTable: Table, classes: Int, numIOU: Int, isCOCO: Boolean, isSegmentation: Boolean): (Array[ArrayBuffer[GroundTruthRegion]], Array[Int])

    convert the ground truth into parsed GroundTruthRegions

    convert the ground truth into parsed GroundTruthRegions

    gtTable
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    isCOCO

    if using COCO's algorithm for IOU computation

    isSegmentation
    returns

    (array of GT BBoxes of images, # of GT bboxes for each class)

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  19. def parseDetection(gtBbox: ArrayBuffer[GroundTruthRegion], label: Int, score: Float, x1: Float, y1: Float, x2: Float, y2: Float, mask: RLEMasks, classes: Int, iou: Array[Float], predictByClasses: Array[Array[ArrayBuffer[(Float, Boolean)]]]): Unit

    For a detection, match it with all GT boxes.

    For a detection, match it with all GT boxes. Record the match in "predictByClass"

  20. def parseSegmentationTensorResult(outTensor: Tensor[Float], func: (Int, Int, Float, Float, Float, Float, Float) ⇒ Unit): Unit

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