Add detection threshold override option to postprocessor

src/batdetect2/postprocess/postprocessor.py

@@ -63,7 +63,14 @@ class Postprocessor(torch.nn.Module, PostprocessorProtocol):
     def forward(
         self,
         output: ModelOutput,
+        detection_threshold: float | None = None,
     ) -> list[ClipDetectionsTensor]:
+        threshold = (
+            self.detection_threshold
+            if detection_threshold is None
+            else detection_threshold
+        )
+
         detection_heatmap = non_max_suppression(
             output.detection_probs.detach(),
             kernel_size=self.nms_kernel_size,
@@ -78,7 +85,7 @@ class Postprocessor(torch.nn.Module, PostprocessorProtocol):
             feature_heatmap=output.features,
             classification_heatmap=output.class_probs,
             max_detections=max_detections,
-            threshold=self.detection_threshold,
+            threshold=threshold,
         )
 
         return [

src/batdetect2/postprocess/types.py

@@ -81,5 +81,8 @@ class ClipPrediction:
 
 class PostprocessorProtocol(Protocol):
     def __call__(
-        self, output: "ModelOutput"
+        self,
+        output: "ModelOutput",
+        *,
+        detection_threshold: float | None = None,
     ) -> list[ClipDetectionsTensor]: ...