Fixes (#18139)

* Catch error and show toast when failing to delete review items

* i18n keys

* add link to speed estimation docs in zone edit pane

* Implement reset of tracked object update for each camera

* Cleanup

* register mqtt callbacks for toggling alerts and detections

* clarify snapshots docs

* clarify semantic search reindexing

* add ukrainian

* adjust date granularity for last recording time

The api endpoint only returns granularity down to the day

* Add amd hardware

* fix crash in face library on initial start after enabling

* Fix recordings view for mobile landscape

The events view incorrectly was displaying two columns on landscape view and it only took up 20% of the screen width. Additionally, in landscape view the timeline was too wide (especially on iPads of various screen sizes) and would overlap the main video

* face rec overfitting instructions

* Clarify

* face docs

* clarify

* clarify

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

frigate/data_processing/common/license_plate/mixin.py

@@ -1552,6 +1552,12 @@ class LicensePlateProcessingMixin:
                 (base64.b64encode(encoded_img).decode("ASCII"), id, camera),
             )
 
+        if id not in self.detected_license_plates:
+            if camera not in self.camera_current_cars:
+                self.camera_current_cars[camera] = []
+
+            self.camera_current_cars[camera].append(id)
+
         self.detected_license_plates[id] = {
             "plate": top_plate,
             "char_confidences": top_char_confidences,
@@ -1564,7 +1570,7 @@ class LicensePlateProcessingMixin:
     def handle_request(self, topic, request_data) -> dict[str, any] | None:
         return
 
-    def expire_object(self, object_id: str):
+    def expire_object(self, object_id: str, camera: str):
         if object_id in self.detected_license_plates:
             self.detected_license_plates.pop(object_id)
 

frigate/data_processing/real_time/api.py

@@ -50,10 +50,11 @@ class RealTimeProcessorApi(ABC):
         pass
 
     @abstractmethod
-    def expire_object(self, object_id: str) -> None:
+    def expire_object(self, object_id: str, camera: str) -> None:
         """Handle objects that are no longer detected.
         Args:
             object_id (str): id of object that is no longer detected.
+            camera (str): name of camera that object was detected on.
 
         Returns:
             None.

frigate/data_processing/real_time/bird.py

@@ -152,6 +152,6 @@ class BirdRealTimeProcessor(RealTimeProcessorApi):
     def handle_request(self, topic, request_data):
         return None
 
-    def expire_object(self, object_id):
+    def expire_object(self, object_id, camera):
         if object_id in self.detected_birds:
             self.detected_birds.pop(object_id)

frigate/data_processing/real_time/face.py

@@ -54,6 +54,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
         self.face_detector: cv2.FaceDetectorYN = None
         self.requires_face_detection = "face" not in self.config.objects.all_objects
         self.person_face_history: dict[str, list[tuple[str, float, int]]] = {}
+        self.camera_current_people: dict[str, list[str]] = {}
         self.recognizer: FaceRecognizer | None = None
         self.faces_per_second = EventsPerSecond()
         self.inference_speed = InferenceSpeed(self.metrics.face_rec_speed)
@@ -282,9 +283,13 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
         if id not in self.person_face_history:
             self.person_face_history[id] = []
 
+            if camera not in self.camera_current_people:
+                self.camera_current_people[camera] = []
+
         self.person_face_history[id].append(
             (sub_label, score, face_frame.shape[0] * face_frame.shape[1])
         )
+        self.camera_current_people[camera].append(id)
         (weighted_sub_label, weighted_score) = self.weighted_average(
             self.person_face_history[id]
         )
@@ -420,10 +425,25 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
                 )
                 shutil.move(current_file, new_file)
 
-    def expire_object(self, object_id: str):
+    def expire_object(self, object_id: str, camera: str):
         if object_id in self.person_face_history:
             self.person_face_history.pop(object_id)
 
+            if object_id in self.camera_current_people.get(camera, []):
+                self.camera_current_people[camera].remove(object_id)
+
+                if len(self.camera_current_people[camera]) == 0:
+                    self.requestor.send_data(
+                        "tracked_object_update",
+                        json.dumps(
+                            {
+                                "type": TrackedObjectUpdateTypesEnum.face,
+                                "name": None,
+                                "camera": camera,
+                            }
+                        ),
+                    )
+
     def weighted_average(
         self, results_list: list[tuple[str, float, int]], max_weight: int = 4000
     ):

frigate/data_processing/real_time/license_plate.py

@@ -1,5 +1,6 @@
 """Handle processing images for face detection and recognition."""
 
+import json
 import logging
 
 import numpy as np
@@ -13,6 +14,7 @@ from frigate.data_processing.common.license_plate.mixin import (
 from frigate.data_processing.common.license_plate.model import (
     LicensePlateModelRunner,
 )
+from frigate.types import TrackedObjectUpdateTypesEnum
 
 from ..types import DataProcessorMetrics
 from .api import RealTimeProcessorApi
@@ -36,6 +38,7 @@ class LicensePlateRealTimeProcessor(LicensePlateProcessingMixin, RealTimeProcess
         self.lpr_config = config.lpr
         self.config = config
         self.sub_label_publisher = sub_label_publisher
+        self.camera_current_cars: dict[str, list[str]] = {}
         super().__init__(config, metrics)
 
     def process_frame(
@@ -50,6 +53,22 @@ class LicensePlateRealTimeProcessor(LicensePlateProcessingMixin, RealTimeProcess
     def handle_request(self, topic, request_data) -> dict[str, any] | None:
         return
 
-    def expire_object(self, object_id: str):
+    def expire_object(self, object_id: str, camera: str):
         if object_id in self.detected_license_plates:
             self.detected_license_plates.pop(object_id)
+
+            if object_id in self.camera_current_cars.get(camera, []):
+                self.camera_current_cars[camera].remove(object_id)
+
+                if len(self.camera_current_cars[camera]) == 0:
+                    self.requestor.send_data(
+                        "tracked_object_update",
+                        json.dumps(
+                            {
+                                "type": TrackedObjectUpdateTypesEnum.lpr,
+                                "name": None,
+                                "plate": None,
+                                "camera": camera,
+                            }
+                        ),
+                    )