MAP
- class easypl.metrics.detection.mean_average_precision.MAP(iou_thresholds: Optional[List[float]] = None, rec_thresholds: Optional[List[float]] = None, max_detection_thresholds: Optional[List[int]] = None, class_metrics: bool = False, **kwargs)
Wrapper for MeanAveragePrecision from torchmetrics.
- iou_thresholds
Iou threshold/thresholds for boxes.
- Type:
Optional[List[float]]
- rec_thresholds
Recall thresholds for evaluation.
- Type:
Optional[List[float]]
- max_detection_thresholds
Thresholds on max detections per image.
- Type:
Optional[List[int]]
- class_metrics
Option to enable per-class metrics for mAP and mAR_100.
- Type:
bool
- kwargs
Torchmetrics Metric args.
- reset()
This method automatically resets the metric state variables to their default value.