UI fixes

docs/docs/configuration/object_detectors.md

@@ -72,7 +72,7 @@ This does not affect using hardware for accelerating other tasks such as [semant
 
 # Officially Supported Detectors
 
-Frigate provides a number of builtin detector types. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
+Frigate provides a number of builtin detector types. By default, Frigate will use a single OpenVINO detector running on the CPU. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
 
 ## Edge TPU Detector
 

docs/docs/guides/getting_started.md

@@ -192,7 +192,7 @@ cameras:
 
 ### Step 4: Configure detectors
 
-By default, Frigate will use a single CPU detector.
+By default, Frigate will use a single OpenVINO detector running on the CPU.
 
 In many cases, the integrated graphics on Intel CPUs provides sufficient performance for typical Frigate setups. If you have an Intel processor, you can follow the configuration below.
 

frigate/api/app.py

@@ -499,6 +499,40 @@ def config_save(save_option: str, body: Any = Body(media_type="text/plain")):
         )
 
 
+def _restore_masked_camera_paths(config_data: dict, config: FrigateConfig) -> None:
+    """Substitute incoming `*:*` masked credentials with the in-memory ones.
+
+    The /config response masks ffmpeg input credentials, so the settings UI
+    sends the masked path back when sibling fields (e.g. hwaccel_args) are
+    edited.  Without this we'd write `rtsp://*:*@host` into YAML and lose
+    the real credentials.  Mutates `config_data` in place.
+    """
+    cameras = config_data.get("cameras")
+    if not isinstance(cameras, dict):
+        return
+
+    for camera_name, camera_data in cameras.items():
+        if not isinstance(camera_data, dict):
+            continue
+        inputs = camera_data.get("ffmpeg", {}).get("inputs")
+        if not isinstance(inputs, list):
+            continue
+        existing = config.cameras.get(camera_name)
+        if existing is None:
+            continue
+        existing_paths = [inp.path for inp in existing.ffmpeg.inputs]
+        for index, input_obj in enumerate(inputs):
+            if not isinstance(input_obj, dict):
+                continue
+            path = input_obj.get("path")
+            if not isinstance(path, str):
+                continue
+            if ("://*:*@" in path or "user=*&password=*" in path) and index < len(
+                existing_paths
+            ):
+                input_obj["path"] = existing_paths[index]
+
+
 def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONResponse:
     """Apply config changes in-memory only, without writing to YAML.
 
@@ -509,6 +543,7 @@ def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONRespo
     try:
         updates = {}
         if body.config_data:
+            _restore_masked_camera_paths(body.config_data, request.app.frigate_config)
             updates = flatten_config_data(body.config_data)
             updates = {k: ("" if v is None else v) for k, v in updates.items()}
 
@@ -615,6 +650,9 @@ def config_set(request: Request, body: AppConfigSetBody):
                 if query_string:
                     updates = process_config_query_string(query_string)
                 elif body.config_data:
+                    _restore_masked_camera_paths(
+                        body.config_data, request.app.frigate_config
+                    )
                     updates = flatten_config_data(body.config_data)
                     # Convert None values to empty strings for deletion (e.g., when deleting masks)
                     updates = {k: ("" if v is None else v) for k, v in updates.items()}

frigate/config/camera/genai.py

@@ -41,8 +41,7 @@ class GenAIConfig(FrigateBaseModel):
         title="Model",
         description="The model to use from the provider for generating descriptions or summaries.",
     )
-    provider: GenAIProviderEnum | None = Field(
-        default=None,
+    provider: GenAIProviderEnum = Field(
         title="Provider",
         description="The GenAI provider to use (for example: ollama, gemini, openai).",
     )

frigate/config/camera/updater.py

@@ -121,7 +121,10 @@ def __update_config(
         elif update_type == CameraConfigUpdateEnum.objects:
             config.objects = updated_config
         elif update_type == CameraConfigUpdateEnum.record:
+            old_enabled_in_config = config.record.enabled_in_config
             config.record = updated_config
+            if old_enabled_in_config != updated_config.enabled_in_config:
+                config.recreate_ffmpeg_cmds()
         elif update_type == CameraConfigUpdateEnum.review:
             config.review = updated_config
         elif update_type == CameraConfigUpdateEnum.review_genai:

frigate/config/classification.py

@@ -26,6 +26,11 @@ class EnrichmentsDeviceEnum(str, Enum):
     CPU = "CPU"
 
 
+class ModelSizeEnum(str, Enum):
+    small = "small"
+    large = "large"
+
+
 class TriggerType(str, Enum):
     THUMBNAIL = "thumbnail"
     DESCRIPTION = "description"
@@ -53,13 +58,13 @@ class AudioTranscriptionConfig(FrigateBaseModel):
         title="Transcription language",
         description="Language code used for transcription/translation (for example 'en' for English). See https://whisper-api.com/docs/languages/ for supported language codes.",
     )
-    device: Optional[EnrichmentsDeviceEnum] = Field(
+    device: EnrichmentsDeviceEnum = Field(
         default=EnrichmentsDeviceEnum.CPU,
         title="Transcription device",
         description="Device key (CPU/GPU) to run the transcription model on. Only NVIDIA CUDA GPUs are currently supported for transcription.",
     )
-    model_size: str = Field(
-        default="small",
+    model_size: ModelSizeEnum = Field(
+        default=ModelSizeEnum.small,
         title="Model size",
         description="Model size to use for offline audio event transcription.",
     )
@@ -189,8 +194,8 @@ def coerce_model_enum(cls, v):
                 return v
         return v
 
-    model_size: str = Field(
-        default="small",
+    model_size: ModelSizeEnum = Field(
+        default=ModelSizeEnum.small,
         title="Model size",
         description="Select model size; 'small' runs on CPU and 'large' typically requires GPU.",
     )
@@ -253,8 +258,8 @@ class FaceRecognitionConfig(FrigateBaseModel):
         title="Enable face recognition",
         description="Enable or disable face recognition for all cameras; can be overridden per-camera.",
     )
-    model_size: str = Field(
-        default="small",
+    model_size: ModelSizeEnum = Field(
+        default=ModelSizeEnum.small,
         title="Model size",
         description="Model size to use for face embeddings (small/large); larger may require GPU.",
     )
@@ -335,8 +340,8 @@ class LicensePlateRecognitionConfig(FrigateBaseModel):
         title="Enable LPR",
         description="Enable or disable license plate recognition for all cameras; can be overridden per-camera.",
     )
-    model_size: str = Field(
-        default="small",
+    model_size: ModelSizeEnum = Field(
+        default=ModelSizeEnum.small,
         title="Model size",
         description="Model size used for text detection/recognition. Most users should use 'small'.",
     )

frigate/config/config.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import io
 import json
 import logging
 import os
@@ -80,17 +81,40 @@
 
 yaml = YAML()
 
+DEFAULT_DETECTORS = {
+    "ov": {
+        "type": "openvino",
+        "device": "CPU",
+    }
+}
+DEFAULT_MODEL = {
+    "width": 300,
+    "height": 300,
+    "input_tensor": "nhwc",
+    "input_pixel_format": "bgr",
+    "path": "/openvino-model/ssdlite_mobilenet_v2.xml",
+    "labelmap_path": "/openvino-model/coco_91cl_bkgr.txt",
+}
+DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720}
+
+
+def _render_default_yaml(data: dict) -> str:
+    buf = io.StringIO()
+    _yaml_writer = YAML()
+    _yaml_writer.indent(mapping=2, sequence=4, offset=2)
+    _yaml_writer.dump(data, buf)
+    return buf.getvalue()
+
+
 DEFAULT_CONFIG = f"""
 mqtt:
   enabled: False
 
+{_render_default_yaml({"detectors": DEFAULT_DETECTORS, "model": DEFAULT_MODEL})}
 cameras: {{}}  # No cameras defined, UI wizard should be used
 version: {CURRENT_CONFIG_VERSION}
 """
 
-DEFAULT_DETECTORS = {"cpu": {"type": "cpu"}}
-DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720}
-
 # stream info handler
 stream_info_retriever = StreamInfoRetriever()
 
@@ -679,6 +703,9 @@ def post_validation(self, info: ValidationInfo) -> Self:
                     model_config["path"] = "/cpu_model.tflite"
                 elif detector_config.type == "edgetpu":
                     model_config["path"] = "/edgetpu_model.tflite"
+                elif detector_config.type == "openvino":
+                    for default_key, default_value in DEFAULT_MODEL.items():
+                        model_config.setdefault(default_key, default_value)
 
             model = ModelConfig.model_validate(model_config)
             model.check_and_load_plus_model(self.plus_api, detector_config.type)

frigate/test/test_config.py

@@ -64,9 +64,9 @@ def setUp(self):
 
     def test_config_class(self):
         frigate_config = FrigateConfig(**self.minimal)
-        assert "cpu" in frigate_config.detectors.keys()
-        assert frigate_config.detectors["cpu"].type == DetectorTypeEnum.cpu
-        assert frigate_config.detectors["cpu"].model.width == 320
+        assert "ov" in frigate_config.detectors.keys()
+        assert frigate_config.detectors["ov"].type == DetectorTypeEnum.openvino
+        assert frigate_config.detectors["ov"].model.width == 300
 
     @patch("frigate.detectors.detector_config.load_labels")
     def test_detector_custom_model_path(self, mock_labels):
@@ -1005,6 +1005,7 @@ def test_plus_labelmap(self):
 
         config = {
             "mqtt": {"host": "mqtt"},
+            "detectors": {"cpu": {"type": "cpu"}},
             "model": {"path": "plus://test"},
             "cameras": {
                 "back": {

frigate/video/ffmpeg.py

@@ -174,6 +174,7 @@ def __init__(
         )
         self.requestor = InterProcessRequestor()
         self.was_enabled = self.config.enabled
+        self.was_record_enabled_in_config = self.config.record.enabled_in_config
 
         self.segment_subscriber = RecordingsDataSubscriber(RecordingsDataTypeEnum.all)
         self.latest_valid_segment_time: float = 0
@@ -323,6 +324,22 @@ def run(self) -> None:
                 self.was_enabled = enabled
                 continue
 
+            record_enabled_in_config = self.config.record.enabled_in_config
+            if record_enabled_in_config != self.was_record_enabled_in_config:
+                if record_enabled_in_config and enabled:
+                    self.logger.debug(
+                        f"Record enabled in config for {self.config.name}, restarting ffmpeg"
+                    )
+                    self.stop_all_ffmpeg()
+                    self.start_all_ffmpeg()
+                    self.latest_valid_segment_time = 0
+                    self.latest_invalid_segment_time = 0
+                    self.latest_cache_segment_time = 0
+                    self.record_enable_time = datetime.now().astimezone(timezone.utc)
+                    last_restart_time = datetime.now().timestamp()
+                self.was_record_enabled_in_config = record_enabled_in_config
+                continue
+
             if not enabled:
                 continue
 

web/public/locales/en/views/live.json

@@ -70,7 +70,8 @@
   },
   "recording": {
     "enable": "Enable Recording",
-    "disable": "Disable Recording"
+    "disable": "Disable Recording",
+    "disabledInConfig": "Recording must first be enabled in Settings for this camera."
   },
   "snapshots": {
     "enable": "Enable Snapshots",

web/public/locales/en/views/settings.json

@@ -1663,12 +1663,12 @@
       "fpsGreaterThanFive": "Setting the detect FPS higher than 5 is not recommended. Higher values may cause performance issues and will not provide any benefit."
     },
     "faceRecognition": {
-      "globalDisabled": "Face recognition is not enabled at the global level. Enable it in Enrichments for camera-level face recognition to function.",
-      "personNotTracked": "Face recognition requires the 'person' object to be tracked. Ensure 'person' is in the object tracking list."
+      "globalDisabled": "The face recognition enrichment must be enabled for face recognition features to function on this camera.",
+      "personNotTracked": "Face recognition requires the 'person' object to be tracked. Enable 'person' in Objects for this camera."
     },
     "lpr": {
-      "globalDisabled": "License plate recognition is not enabled at the global level. Enable it in Enrichments for camera-level LPR to function.",
-      "vehicleNotTracked": "License plate recognition requires 'car' or 'motorcycle' to be tracked."
+      "globalDisabled": "The license plate recognition enrichment must be enabled for LPR features to function on this camera.",
+      "vehicleNotTracked": "License plate recognition requires 'car' or 'motorcycle' to be tracked. Enable 'car' or 'motorcycle' in Objects for this camera."
     },
     "record": {
       "noRecordRole": "No streams have the record role defined. Recording will not function."

web/public/locales/en/views/system.json

@@ -177,6 +177,9 @@
       }
     },
     "framesAndDetections": "Frames / Detections",
+    "noCameras": {
+      "title": "No Cameras Found"
+    },
     "label": {
       "camera": "camera",
       "detect": "detect",

web/src/components/config-form/section-configs/audio_transcription.ts

@@ -10,7 +10,11 @@ const audioTranscription: SectionConfigOverrides = {
         severity: "warning",
         condition: (ctx) => {
           if (ctx.level === "camera" && ctx.fullCameraConfig) {
-            return ctx.fullCameraConfig.audio.enabled === false;
+            return (
+              !ctx.fullCameraConfig.ffmpeg?.inputs?.some((input) =>
+                input.roles?.includes("audio"),
+              ) || ctx.fullCameraConfig.audio.enabled === false
+            );
           }
           return false;
         },

web/src/components/config-form/section-configs/face_recognition.ts

@@ -53,6 +53,11 @@ const faceRecognition: SectionConfigOverrides = {
       "device",
     ],
     restartRequired: ["enabled", "model_size", "device"],
+    uiSchema: {
+      model_size: {
+        "ui:options": { size: "xs" },
+      },
+    },
   },
 };
 

web/src/components/config-form/section-configs/lpr.ts

@@ -83,6 +83,9 @@ const lpr: SectionConfigOverrides = {
           suppressDescription: true,
         },
       },
+      model_size: {
+        "ui:options": { size: "xs" },
+      },
     },
   },
 };

web/src/components/config-form/section-configs/objects.ts

@@ -1,5 +1,13 @@
+import type { FrigateConfig } from "@/types/frigateConfig";
 import type { SectionConfigOverrides } from "./types";
 
+// Attribute labels (face, license_plate, Frigate+ couriers like DHL/Amazon,
+// etc.) are populated into objects.filters by the backend even when the
+// model can't actually detect them. They aren't user-settable, so hide any
+// `filters.<attr>` patterns from forms and override comparisons.
+const hideAttributeFilters = (config: FrigateConfig): string[] =>
+  (config.model?.all_attributes ?? []).map((attr) => `filters.${attr}`);
+
 const objects: SectionConfigOverrides = {
   base: {
     sectionDocs: "/configuration/object_filters",
@@ -26,6 +34,7 @@ const objects: SectionConfigOverrides = {
       "filters.*.raw_mask",
       "filters.mask",
       "filters.raw_mask",
+      hideAttributeFilters,
     ],
     advancedFields: ["genai"],
     uiSchema: {
@@ -99,6 +108,7 @@ const objects: SectionConfigOverrides = {
       "filters.mask",
       "filters.raw_mask",
       "genai.required_zones",
+      hideAttributeFilters,
     ],
   },
   camera: {
@@ -123,6 +133,7 @@ const objects: SectionConfigOverrides = {
       "filters.*.raw_mask",
       "filters.mask",
       "filters.raw_mask",
+      hideAttributeFilters,
     ],
     advancedFields: [],
   },