Uses of Class
net.imglib2.algorithm.metrics.segmentation.MultiMetrics.Metrics

Packages that use MultiMetrics.Metrics

Package	Description
net.imglib2.algorithm.metrics.segmentation

Uses of MultiMetrics.Metrics in net.imglib2.algorithm.metrics.segmentation

Methods in net.imglib2.algorithm.metrics.segmentation that return MultiMetrics.Metrics

Modifier and Type	Method and Description
static MultiMetrics.Metrics	MultiMetrics.Metrics.valueOf(String name) Returns the enum constant of this type with the specified name.
static MultiMetrics.Metrics[]	MultiMetrics.Metrics.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in net.imglib2.algorithm.metrics.segmentation that return types with arguments of type MultiMetrics.Metrics

Modifier and Type	Method and Description
static <T,I extends net.imglib2.type.numeric.IntegerType<I>,U,J extends net.imglib2.type.numeric.IntegerType<J>> HashMap<MultiMetrics.Metrics,Double>	MultiMetrics.computeMetrics(net.imglib2.roi.labeling.ImgLabeling<T,I> groundTruth, net.imglib2.roi.labeling.ImgLabeling<U,J> prediction, double threshold) Compute the global metrics scores between labels from a ground-truth and a predicted image.
static <I extends net.imglib2.type.numeric.IntegerType<I>,J extends net.imglib2.type.numeric.IntegerType<J>> HashMap<MultiMetrics.Metrics,Double>	MultiMetrics.computeMetrics(net.imglib2.RandomAccessibleInterval<I> groundTruth, net.imglib2.RandomAccessibleInterval<J> prediction, double threshold) Compute the global metrics scores between labels from a ground-truth and a predicted image.
HashMap<MultiMetrics.Metrics,Double>	LazyMultiMetrics.computeScore() Compute the total MultiMetrics scores.
HashMap<MultiMetrics.Metrics,Double>	MultiMetrics.MetricsSummary.getScores() Compute all metrics scores from the aggregates.
static Stream<MultiMetrics.Metrics>	MultiMetrics.Metrics.stream() Return a stream of the available metrics.