MeanAveragePrecision

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7. def classification(nClasses: Int, topK: Int = 1): MeanAveragePrecision[Float]

   Calculate the Mean Average Precision (MAP) for classification output and target The algorithm follows VOC Challenge after 2007 Require class label beginning with 0

   Calculate the Mean Average Precision (MAP) for classification output and target The algorithm follows VOC Challenge after 2007 Require class label beginning with 0

   nClasses

   The number of classes

   topK

   Take top-k confident predictions into account. If k=-1,calculate on all predictions

8. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. def cocoBBox(nClasses: Int, topK: Int = 1, skipClass: Int = 0, iouThres: (Float, Float, Int) = (0.5f, 0.05f, 10)): MeanAveragePrecisionObjectDetection[Float]

   Create MeanAveragePrecision validation method using COCO's algorithm for object detection.

   Create MeanAveragePrecision validation method using COCO's algorithm for object detection. IOU computed by the bounding boxes

   nClasses

   the number of classes (including skipped class)

   topK

   only take topK confident predictions (-1 for all predictions)

   skipClass

   skip calculating on a specific class (e.g. background) the class index starts from 0, or is -1 if no skipping

   iouThres

   the IOU thresholds, (rangeStart, stepSize, numOfThres), inclusive

   returns

   MeanAveragePrecisionObjectDetection

10. def cocoSegmentation(nClasses: Int, topK: Int = 1, skipClass: Int = 0, iouThres: (Float, Float, Int) = (0.5f, 0.05f, 10)): MeanAveragePrecisionObjectDetection[Float]

    Create MeanAveragePrecision validation method using COCO's algorithm for object detection.

    Create MeanAveragePrecision validation method using COCO's algorithm for object detection. IOU computed by the segmentation masks

    nClasses

    the number of classes (including skipped class)

    topK

    only take topK confident predictions (-1 for all predictions)

    skipClass

    skip calculating on a specific class (e.g. background) the class index starts from 0, or is -1 if no skipping

    iouThres

    the IOU thresholds, (rangeStart, stepSize, numOfThres), inclusive

    returns

    MeanAveragePrecisionObjectDetection

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

    Definition Classes

    AnyRef

12. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

13. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes

    AnyRef → Any

15. def hashCode(): Int

    Definition Classes

    AnyRef → Any

16. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

18. final def notify(): Unit

    Definition Classes

    AnyRef

19. final def notifyAll(): Unit

    Definition Classes

    AnyRef

20. def pascalVOC(nClasses: Int, useVoc2007: Boolean = false, topK: Int = 1, skipClass: Int = 0): MeanAveragePrecisionObjectDetection[Float]

    Create MeanAveragePrecision validation method using Pascal VOC's algorithm for object detection

    Create MeanAveragePrecision validation method using Pascal VOC's algorithm for object detection

    nClasses

    the number of classes

    useVoc2007

    if using the algorithm in Voc2007 (11 points). Otherwise, use Voc2010

    topK

    only take topK confident predictions (-1 for all predictions)

    skipClass

    skip calculating on a specific class (e.g. background) the class index starts from 0, or is -1 if no skipping

    returns

    MeanAveragePrecisionObjectDetection

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

    Definition Classes

    AnyRef

22. def toString(): String

    Definition Classes

    AnyRef → Any

23. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )