diff --git a/docker/tensorrt/requirements-arm64.txt b/docker/tensorrt/requirements-arm64.txt
index c9b618180..78d659746 100644
--- a/docker/tensorrt/requirements-arm64.txt
+++ b/docker/tensorrt/requirements-arm64.txt
@@ -1 +1,2 @@
 cuda-python == 12.6.*; platform_machine == 'aarch64'
+numpy == 1.26.*; platform_machine == 'aarch64'
diff --git a/frigate/data_processing/real_time/face.py b/frigate/data_processing/real_time/face.py
index 6148e8c05..2c6b02103 100644
--- a/frigate/data_processing/real_time/face.py
+++ b/frigate/data_processing/real_time/face.py
@@ -166,6 +166,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
         camera = obj_data["camera"]
 
         if not self.config.cameras[camera].face_recognition.enabled:
+            logger.debug(f"Face recognition disabled for camera {camera}, skipping")
             return
 
         start = datetime.datetime.now().timestamp()
@@ -208,6 +209,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
             person_box = obj_data.get("box")
 
             if not person_box:
+                logger.debug(f"No person box available for {id}")
                 return
 
             rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
@@ -233,7 +235,8 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
             try:
                 face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)
-            except Exception:
+            except Exception as e:
+                logger.debug(f"Failed to convert face frame color for {id}: {e}")
                 return
         else:
             # don't run for object without attributes
@@ -251,6 +254,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
             # no faces detected in this frame
             if not face:
+                logger.debug(f"No face attributes found for {id}")
                 return
 
             face_box = face.get("box")
@@ -274,6 +278,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
         res = self.recognizer.classify(face_frame)
 
         if not res:
+            logger.debug(f"Face recognizer returned no result for {id}")
             self.__update_metrics(datetime.datetime.now().timestamp() - start)
             return
 
diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index 4ab8132c1..d169d2d88 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -158,11 +158,13 @@ class EmbeddingMaintainer(threading.Thread):
         self.realtime_processors: list[RealTimeProcessorApi] = []
 
         if self.config.face_recognition.enabled:
+            logger.debug("Face recognition enabled, initializing FaceRealTimeProcessor")
             self.realtime_processors.append(
                 FaceRealTimeProcessor(
                     self.config, self.requestor, self.event_metadata_publisher, metrics
                 )
             )
+            logger.debug("FaceRealTimeProcessor initialized successfully")
 
         if self.config.classification.bird.enabled:
             self.realtime_processors.append(
diff --git a/web/src/views/classification/ModelSelectionView.tsx b/web/src/views/classification/ModelSelectionView.tsx
index b353be65f..b1b462497 100644
--- a/web/src/views/classification/ModelSelectionView.tsx
+++ b/web/src/views/classification/ModelSelectionView.tsx
@@ -214,7 +214,7 @@ function ModelCard({ config, onClick, onDelete }: ModelCardProps) {
 
   const handleDelete = useCallback(async () => {
     try {
-      // First, remove from config to stop the processor
+      await axios.delete(`classification/${config.name}`);
       await axios.put("/config/set", {
         requires_restart: 0,
         update_topic: `config/classification/custom/${config.name}`,
@@ -227,9 +227,6 @@ function ModelCard({ config, onClick, onDelete }: ModelCardProps) {
         },
       });
 
-      // Then, delete the model data and files
-      await axios.delete(`classification/${config.name}`);
-
       toast.success(t("toast.success.deletedModel", { count: 1 }), {
         position: "top-center",
       });