Add average precision computation to pr curves if needed

src/batdetect2/plotting/metrics.py

@@ -5,6 +5,7 @@ import seaborn as sns
 from cycler import cycler
 from matplotlib import axes
 
+from batdetect2.evaluate.metrics.common import _average_precision
 from batdetect2.plotting.common import create_ax
 
 
@@ -80,15 +81,21 @@ def plot_pr_curves(
     figsize: Optional[Tuple[int, int]] = None,
     add_legend: bool = True,
     add_labels: bool = True,
+    include_ap: bool = False,
 ) -> axes.Axes:
     ax = create_ax(ax=ax, figsize=figsize)
     ax = set_default_style(ax)
 
     for name, (precision, recall, thresholds) in data.items():
+        label = name
+
+        if include_ap:
+            label += f" (AP={_average_precision(recall, precision):.2f})"
+
         ax.plot(
             recall,
             precision,
-            label=name,
+            label=label,
             markevery=_get_marker_positions(thresholds),
         )