improve debugging messages

frigate/config/config.py

@@ -513,10 +513,14 @@ class FrigateConfig(FrigateBaseModel):
                     )
 
             # Warn if detect fps > 10
-            if camera_config.detect.fps > 10:
+            if camera_config.detect.fps > 10 and camera_config.type != "lpr":
                 logger.warning(
                     f"{camera_config.name} detect fps is set to {camera_config.detect.fps}. This does NOT need to match your camera's frame rate. High values could lead to reduced performance. Recommended value is 5."
                 )
+            if camera_config.detect.fps > 15 and camera_config.type == "lpr":
+                logger.warning(
+                    f"{camera_config.name} detect fps is set to {camera_config.detect.fps}. This does NOT need to match your camera's frame rate. High values could lead to reduced performance. Recommended value for LPR cameras are between 5-15."
+                )
 
             # Default min_initialized configuration
             min_initialized = int(camera_config.detect.fps / 2)

frigate/data_processing/common/license_plate/mixin.py

@@ -490,10 +490,6 @@ class LicensePlateProcessingMixin:
                 merged_boxes.append(current_box)
                 current_box = next_box
 
-            logger.debug(
-                f"Provided plate_width: {plate_width}, max_gap: {max_gap}, horizontal_gap: {horizontal_gap}"
-            )
-
         # Add the last box
         merged_boxes.append(current_box)
 
@@ -1133,7 +1129,7 @@ class LicensePlateProcessingMixin:
         # 4. Log the comparison
         logger.debug(
             f"Plate comparison - Current: {top_plate} (score: {curr_score:.3f}, min_conf: {curr_min_conf:.2f}) vs "
-            f"Previous: {prev_plate} (score: {prev_score:.3f}, min_conf: {prev_min_conf:.2f})\n"
+            f"Previous: {prev_plate} (score: {prev_score:.3f}, min_conf: {prev_min_conf:.2f}) "
             f"Metrics - Length: {len(top_plate)} vs {len(prev_plate)} (scores: {curr_length_score:.2f} vs {prev_length_score:.2f}), "
             f"Area: {top_area} vs {prev_area}, "
             f"Avg Conf: {avg_confidence:.2f} vs {prev_avg_confidence:.2f}, "
@@ -1263,6 +1259,15 @@ class LicensePlateProcessingMixin:
                 )
                 return
 
+            # don't run for objects with no position changes
+            # this is the initial state after registering a new tracked object
+            # LPR will run 2 frames after detect.min_initialized is reached
+            if obj_data.get("position_changes", 0) == 0:
+                logger.debug(
+                    f"{camera}: Plate detected in {self.config.cameras[camera].detect.min_initialized + 1} concurrent frames, LPR frame threshold ({self.config.cameras[camera].detect.min_initialized + 2})"
+                )
+                return
+
             license_plate: Optional[dict[str, any]] = None
 
             if "license_plate" not in self.config.cameras[camera].objects.track:
@@ -1401,6 +1406,8 @@ class LicensePlateProcessingMixin:
                     license_plate_frame,
                 )
 
+        logger.debug(f"{camera}: Running plate recognition.")
+
         # run detection, returns results sorted by confidence, best first
         start = datetime.datetime.now().timestamp()
         license_plates, confidences, areas = self._process_license_plate(

frigate/track/tracked_object.py

@@ -138,11 +138,13 @@ class TrackedObject:
 
         if not self.false_positive and has_valid_frame:
             # determine if this frame is a better thumbnail
-            if self.thumbnail_data is None or is_better_thumbnail(
+            if self.thumbnail_data is None or (
-                self.obj_data["label"],
+                better_thumb := is_better_thumbnail(
-                self.thumbnail_data,
+                    self.obj_data["label"],
-                obj_data,
+                    self.thumbnail_data,
-                self.camera_config.frame_shape,
+                    obj_data,
+                    self.camera_config.frame_shape,
+                )
             ):
                 # use the current frame time if the object's frame time isn't in the frame cache
                 selected_frame_time = (
@@ -150,6 +152,13 @@ class TrackedObject:
                     if obj_data["frame_time"] not in self.frame_cache.keys()
                     else obj_data["frame_time"]
                 )
+                if (
+                    obj_data["frame_time"] not in self.frame_cache.keys()
+                    and not better_thumb
+                ):
+                    logger.warning(
+                        f"Frame time {obj_data['frame_time']} not not in frame cache, using current frame time {selected_frame_time}"
+                    )
                 self.thumbnail_data = {
                     "frame_time": selected_frame_time,
                     "box": obj_data["box"],