Add dynamic configuration for more fields (#22295)

* face recognition dynamic config

* lpr dynamic config

* safe changes for birdseye dynamic config

* bird classification dynamic config

* always assign new config to stats emitter to make telemetry fields dynamic

* add wildcard support for camera config updates in config_set

* update restart required fields for global sections

* add test

* fix rebase issue

* collapsible settings sidebar

use the preexisting control available with shadcn's sidebar (cmd/ctrl-B) to give users more space to set masks/zones on smaller screens

* dynamic ffmpeg

* ensure previews dir exists

when ffmpeg processes restart, there's a brief window where the preview frame generation pipeline is torn down and restarted. before these changes, ffmpeg only restarted on crash/stall recovery or full Frigate restart. Now that ffmpeg restarts happen on-demand via config changes, there's a higher chance a frontend request hits the preview_mp4 or preview_gif endpoints during that brief restart window when the directory might not exist yet. The existing os.listdir() call would throw FileNotFoundError without a directory existence check. this fix just checks if the directory exists and returns 404 if not, exactly how preview_thumbnail already handles the same scenario a few lines below

* global ffmpeg section

* clean up

* tweak

* fix test

frigate/data_processing/real_time/face.py

@@ -19,6 +19,7 @@ from frigate.comms.event_metadata_updater import (
 )
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
+from frigate.config.classification import FaceRecognitionConfig
 from frigate.const import FACE_DIR, MODEL_CACHE_DIR
 from frigate.data_processing.common.face.model import (
     ArcFaceRecognizer,
@@ -95,6 +96,11 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
         self.recognizer.build()
 
+    def update_config(self, face_config: FaceRecognitionConfig) -> None:
+        """Update face recognition config at runtime."""
+        self.face_config = face_config
+        logger.debug("Face recognition config updated dynamically")
+
     def __download_models(self, path: str) -> None:
         try:
             file_name = os.path.basename(path)