litiv::IMetricsCalculatorPtr litiv::IDatasetEvaluator_<litiv::eDatasetEval_BinaryClassifier>::getMetrics(bool bAverage) const {
if(bAverage) {
IDataHandlerPtrArray vpBatches = getBatches(true);
auto ppBatchIter = vpBatches.begin();
for(; ppBatchIter!=vpBatches.end() && !(*ppBatchIter)->getTotPackets(); ++ppBatchIter);
CV_Assert(ppBatchIter!=vpBatches.end());
IMetricsCalculatorPtr pMetrics = dynamic_cast<const IDataReporter_<eDatasetEval_BinaryClassifier>&>(**ppBatchIter).getMetrics(bAverage);
for(; ppBatchIter!=vpBatches.end(); ++ppBatchIter)
if((*ppBatchIter)->getTotPackets())
pMetrics->accumulate(dynamic_cast<const IDataReporter_<eDatasetEval_BinaryClassifier>&>(**ppBatchIter).getMetrics(bAverage));
return pMetrics;
}
return BinClassifMetricsCalculator::create(getMetricsBase());
}
/// accumulates and returns high-level evaluation metrics, e.g. computes F-Measure from classification counters
virtual IIMetricsCalculatorPtr getMetrics(bool bAverage) const override final {
if(bAverage && this->isGroup() && !this->isBare()) {
IDataHandlerPtrArray vpBatches = this->getBatches(true);
auto ppBatchIter = vpBatches.begin();
for(; ppBatchIter!=vpBatches.end() && (*ppBatchIter)->getCurrentOutputCount()==0; ++ppBatchIter) {}
lvAssert_(ppBatchIter!=vpBatches.end(),"found no processed output packets");
IIMetricsCalculatorPtr pMetrics = dynamic_cast<const IIMetricRetriever&>(**ppBatchIter).getMetrics(bAverage);
for(; ppBatchIter!=vpBatches.end(); ++ppBatchIter)
if((*ppBatchIter)->getCurrentOutputCount()>0)
pMetrics->accumulate(dynamic_cast<const IIMetricRetriever&>(**ppBatchIter).getMetrics(bAverage));
return pMetrics;
}
return IIMetricsCalculator::create<MetricsCalculator_<eDatasetEval,eDataset>>(getMetricsBase());
}
