Adjust min_score config to unknown_score

frigate/config/classification.py

@@ -54,8 +54,8 @@ class FaceRecognitionConfig(FrigateBaseModel):
     model_size: str = Field(
         default="small", title="The size of the embeddings model used."
     )
-    min_score: float = Field(
-        title="Minimum face distance score required to save the attempt.",
+    unknown_score: float = Field(
+        title="Minimum face distance score required to be marked as a potential match.",
         default=0.8,
         gt=0.0,
         le=1.0,

frigate/data_processing/common/face/model.py

@@ -164,9 +164,7 @@ class LBPHRecognizer(FaceRecognizer):
             return
 
         self.recognizer: cv2.face.LBPHFaceRecognizer = (
-            cv2.face.LBPHFaceRecognizer_create(
-                radius=2, threshold=(1 - self.config.face_recognition.min_score) * 1000
-            )
+            cv2.face.LBPHFaceRecognizer_create(radius=2, threshold=400)
         )
         self.recognizer.train(faces, np.array(labels))
 
@@ -304,7 +302,4 @@ class ArcFaceRecognizer(FaceRecognizer):
                 score = confidence
                 label = name
 
-        if score < self.config.face_recognition.min_score:
-            return None
-
         return label, round(score * blur_factor, 2)

frigate/data_processing/real_time/face.py

@@ -241,6 +241,9 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
         sub_label, score = res
 
+        if score < self.face_config.unknown_score:
+            sub_label = "unknown"
+
         logger.debug(
             f"Detected best face for person as: {sub_label} with probability {score}"
         )