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

Packages that use MultiMetrics.MetricsSummary

Package	Description
net.imglib2.algorithm.metrics.segmentation

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

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

Modifier and Type	Method and Description
protected static MultiMetrics.MetricsSummary	MultiMetrics.computeFinalScores(ConfusionMatrix confusionMatrix, double[][] costMatrix, double threshold) Compute all metrics scores by matching ground-truth labels (row indices) with predicted labels (column indices).
protected static <I extends IntegerType<I>,J extends IntegerType<J>> MultiMetrics.MetricsSummary	MultiMetrics.runAverageOverTime(RandomAccessibleInterval<I> groundTruth, RandomAccessibleInterval<J> prediction, double threshold) Compute the metrics score per time-point and return the aggregated scores.
protected static <I extends IntegerType<I>,J extends IntegerType<J>> MultiMetrics.MetricsSummary	MultiMetrics.runSingle(RandomAccessibleInterval<I> groundTruth, RandomAccessibleInterval<J> prediction, double threshold) Compute the metrics scores between ground-truth and prediction images.

Methods in net.imglib2.algorithm.metrics.segmentation with parameters of type MultiMetrics.MetricsSummary

Modifier and Type	Method and Description
void	MultiMetrics.MetricsSummary.addPoint(MultiMetrics.MetricsSummary otherMetrics) Add the otherMetrics values to the aggregate of the current object.
protected void	LazyMultiMetrics.addPoint(MultiMetrics.MetricsSummary newResult) Update the atomic aggregates with the values held by the MultiMetrics.MetricsSummary.