precommit

Author: Borda

src/torchmetrics/detection/panoptic_quality.py

@@ -35,9 +35,9 @@ class PanopticQuality(Metric):
         .. math::
             PQ = \frac{IOU}{TP + 0.5 FP + 0.5 FN}
 
-        where IOU, TP, FP and FN are respectively the sum of the intersection over union for true positives, the number of
-        true postitives, false positives and false negatives. This metric is inspired by the PQ implementation of
-        panopticapi, a standard implementation for the PQ metric for object detection.
+        where IOU, TP, FP and FN are respectively the sum of the intersection over union for true positives,
+        the number of true postitives, false positives and false negatives. This metric is inspired by the PQ
+        implementati on of panopticapi, a standard implementation for the PQ metric for object detection.
 
     .. note:
         Metric is currently experimental