Metrics

• Classification metrics
  • SearchAccuracy
  • SearchMAP
• Segmentation metrics
  • Pixel level metrics
    • Pixel level Accuracy
    • Pixel level Precision
    • Pixel level Recall
    • Pixel level FBeta
    • Pixel level F1
• Detection metrics
  • MAP
  • BaseDetectionMetric
  • FBetaDetection

class easypl.metrics.base.MetricsList(dist_sync_on_step: bool = False, compute_on_step: bool = True)

List of metrics

clone()

Make a copy of the metric.

class easypl.metrics.torch.TorchMetric(metric: Metric, class_names: Optional[List] = None)

Wrapper for metrics from torchmetrics

metric

Metric object from torchmetrics.

Type

Metric

class_names

Names of classes.

Type

Optional[List]

Examples

>>> from torchmetrics import F1
... from easypl.metrics import TorchMetric
... result_metric = TorchMetric(F1(), class_names=None)