Refactor model scene definitions (#24508)

* Refactor model scene definitions

* Cleanup

* Validate model paths in the UI

* Handle form validation

frigate/app.py

@@ -49,7 +49,6 @@ from frigate.debug_replay import (
     DebugReplayManager,
     cleanup_replay_cameras,
 )
-from frigate.detectors.detector_config import SceneEnum
 from frigate.detectors.detector_types import api_types
 from frigate.detectors.device import build_detector_config, runner_names
 from frigate.embeddings import EmbeddingProcess, EmbeddingsContext
@@ -108,7 +107,7 @@ class FrigateApp:
         self.metrics_manager = manager
         self.audio_process: mp.Process | None = None
         self.stop_event = stop_event
-        self.detection_queues: dict[SceneEnum, Queue] = {
+        self.detection_queues: dict[str, Queue] = {
             model.scene: mp.Queue() for model in config.models
         }
         self.detectors: dict[str, ObjectDetectProcess] = {}
@@ -395,7 +394,7 @@ class FrigateApp:
                 logger.error("Unable to prepare the %s runtime: %s", detector_type, err)
 
     def start_detectors(self) -> None:
-        model_cameras: dict[SceneEnum, list[str]] = {
+        model_cameras: dict[str, list[str]] = {
             model.scene: [] for model in self.config.models
         }
 

frigate/camera/maintainer.py

@@ -15,7 +15,6 @@ from frigate.config.camera.updater import (
     CameraConfigUpdateSubscriber,
 )
 from frigate.const import REPLAY_CAMERA_PREFIX
-from frigate.detectors.detector_config import SceneEnum
 from frigate.models import Regions
 from frigate.object_detection.util import detection_frame_size
 from frigate.util.builtin import empty_and_close_queue
@@ -31,7 +30,7 @@ class CameraMaintainer(threading.Thread):
     def __init__(
         self,
         config: FrigateConfig,
-        detection_queues: dict[SceneEnum, Queue],
+        detection_queues: dict[str, Queue],
         detected_frames_queue: Queue,
         camera_metrics: DictProxy,
         ptz_metrics: dict[str, PTZMetrics],

frigate/config/camera/detect.py

@@ -1,6 +1,6 @@
 from pydantic import Field, model_validator
 
-from frigate.detectors.detector_config import SceneEnum
+from frigate.detectors.detector_config import DEFAULT_SCENE, SCENE_PATTERN
 
 from ..base import FrigateBaseModel
 
@@ -62,10 +62,11 @@ class DetectConfig(FrigateBaseModel):
         title="Detect width",
         description="Width (pixels) of frames used for the detect stream; leave empty to use the native stream resolution.",
     )
-    scene: SceneEnum = Field(
-        default=SceneEnum.all,
+    scene: str = Field(
+        default=DEFAULT_SCENE,
+        pattern=SCENE_PATTERN,
         title="Detect scene",
-        description="The environment this camera looks at, used to pick which of the configured models runs on it. Cameras left on 'all' run the model configured with a scene of 'all'.",
+        description="The environment this camera looks at, used to pick which of the configured models runs on it. Cameras left on 'default' run the model configured with a scene of 'default'.",
     )
     fps: int = Field(
         default=5,

frigate/config/config.py

@@ -19,7 +19,7 @@ from ruamel.yaml import YAML
 
 from frigate.const import REGEX_JSON
 from frigate.detectors import ModelConfig
-from frigate.detectors.detector_config import SceneEnum
+from frigate.detectors.detector_config import DEFAULT_SCENE
 from frigate.detectors.device import DeviceParseError, DeviceSpec, parse_device
 from frigate.plus import PlusApi
 from frigate.util.builtin import (
@@ -35,6 +35,7 @@ from frigate.util.config import (
     migrate_frigate_config,
 )
 from frigate.util.image import create_mask
+from frigate.util.runtime_deps import sha256_of
 from frigate.util.services import auto_detect_hwaccel
 
 from .auth import AuthConfig
@@ -536,7 +537,7 @@ class FrigateConfig(FrigateBaseModel):
     models: list[ModelConfig] = Field(
         default_factory=_default_models,
         title="Detection models",
-        description="Object detection models and the hardware each one runs on. Cameras pick a model by matching their detect.scene against a model's scene.",
+        description="Object detection models and the hardware each one runs on. Cameras pick a model by matching their detect.scene against a model's scene, falling back to the 'default' model.",
     )
 
     # GenAI config (named provider configs: name -> GenAIConfig)
@@ -651,7 +652,9 @@ class FrigateConfig(FrigateBaseModel):
     )
 
     _plus_api: PlusApi
-    _model_devices: dict[SceneEnum, list[DeviceSpec]]
+    _model_devices: dict[str, list[DeviceSpec]]
+    # scene -> model, including the scenes of duplicate models folded into another
+    _scene_models: dict[str, ModelConfig]
     _camera_models: dict[str, ModelConfig]
     _all_attributes: list[str]
     _all_attribute_logos: list[str]
@@ -686,7 +689,7 @@ class FrigateConfig(FrigateBaseModel):
     def primary_model(self) -> ModelConfig:
         """The model used when no specific camera is in play."""
         for model in self.models:
-            if model.scene == SceneEnum.all:
+            if model.scene == DEFAULT_SCENE:
                 return model
 
         return self.models[0]
@@ -708,7 +711,7 @@ class FrigateConfig(FrigateBaseModel):
 
         if model is None:
             camera = self.cameras.get(camera_name)
-            scene = camera.detect.scene if camera is not None else SceneEnum.all
+            scene = camera.detect.scene if camera is not None else DEFAULT_SCENE
             model = self._resolve_camera_model(camera_name, scene)
             self._camera_models[camera_name] = model
 
@@ -768,14 +771,14 @@ class FrigateConfig(FrigateBaseModel):
         if not self.models:
             raise ValueError("At least one model must be configured under models")
 
-        model_devices: dict[SceneEnum, list[DeviceSpec]] = {}
+        model_devices: dict[str, list[DeviceSpec]] = {}
         # device string -> the scene of the model that already claimed it
-        claimed_devices: dict[str, SceneEnum] = {}
+        claimed_devices: dict[str, str] = {}
 
         for index, model in enumerate(self.models):
-            scene = model.scene.value
+            scene = model.scene
 
-            if model.scene in model_devices:
+            if scene in model_devices:
                 raise ValueError(
                     f"Multiple models are configured with a scene of '{scene}'. Each model must use a different scene."
                 )
@@ -804,17 +807,20 @@ class FrigateConfig(FrigateBaseModel):
                     other = claimed_devices[device.raw]
                     where = (
                         f"twice by model '{scene}'"
-                        if other == model.scene
-                        else f"by both the '{other.value}' and '{scene}' models"
+                        if other == scene
+                        else f"by both the '{other}' and '{scene}' models"
                     )
                     raise ValueError(
                         f"Device '{device.raw}' is used {where}, but it can only run one detection process."
                     )
 
-                claimed_devices[device.raw] = model.scene
+                claimed_devices[device.raw] = scene
 
             self.models[index] = self._load_model(model, devices[0].detector)
-            model_devices[model.scene] = devices
+            model_devices[scene] = devices
+
+        self._scene_models = {model.scene: model for model in self.models}
+        self._consolidate_duplicate_models(model_devices)
 
         attributes: set[str] = set()
         attribute_logos: set[str] = set()
@@ -838,36 +844,107 @@ class FrigateConfig(FrigateBaseModel):
         }
         self._all_labels = labels
 
-    def _resolve_camera_model(self, name: str, scene: SceneEnum) -> ModelConfig:
+    def _consolidate_duplicate_models(
+        self, model_devices: dict[str, list[DeviceSpec]]
+    ) -> None:
+        """Fold models that load the same model file into a single model.
+
+        Separate scenes for one model only split the same work across separate
+        detection queues, so each device serves fewer cameras and is slower
+        overall than one shared model. The duplicate's devices are moved to the
+        model it duplicates and its scene resolves to that model.
+
+        Args:
+            model_devices: Scene to parsed devices, updated in place
+        """
+        kept: list[ModelConfig] = []
+        hashes: dict[str, str | None] = {}
+
+        def file_hash(path: str) -> str | None:
+            if path not in hashes:
+                hashes[path] = sha256_of(path) if os.path.isfile(path) else None
+
+            return hashes[path]
+
+        def same_model(a: ModelConfig, b: ModelConfig) -> bool:
+            # a model's devices all share a detector, so folding across
+            # detectors would produce an invalid model
+            if model_devices[a.scene][0].detector != model_devices[b.scene][0].detector:
+                return False
+
+            if not a.path or not b.path:
+                return False
+
+            if os.path.realpath(a.path) == os.path.realpath(b.path):
+                return True
+
+            a_hash = file_hash(a.path)
+            return a_hash is not None and a_hash == file_hash(b.path)
+
+        for model in self.models:
+            original = next((other for other in kept if same_model(other, model)), None)
+
+            if original is None:
+                kept.append(model)
+                continue
+
+            # keep the default model so cameras without a scene still find it
+            if model.scene == DEFAULT_SCENE:
+                kept[kept.index(original)] = model
+                original, model = model, original
+
+            logger.warning(
+                "Models '%s' and '%s' use the same model file, so they have been combined into the '%s' model. Defining one model under several scenes to assign detectors to specific cameras is slower and less efficient than letting every detector serve every camera. Remove the '%s' model and list its devices under the '%s' model instead",
+                original.scene,
+                model.scene,
+                original.scene,
+                model.scene,
+                original.scene,
+            )
+            original.devices = [*original.devices, *model.devices]
+            model_devices[original.scene] = [
+                *model_devices[original.scene],
+                *model_devices.pop(model.scene),
+            ]
+            self._scene_models[model.scene] = original
+
+            # anything already folded into the duplicate follows it
+            for scene, target in self._scene_models.items():
+                if target is model:
+                    self._scene_models[scene] = original
+
+        self.models = kept
+
+    def _resolve_camera_model(self, name: str, scene: str) -> ModelConfig:
         """Resolve which model a camera runs on.
 
         A camera may name a scene no model is configured for, which is valid as
-        long as an 'all' model is there to fall back to.
+        long as a 'default' model is there to fall back to.
 
         Args:
             name: Name of the camera
-            scene: The camera's detect scene, which defaults to 'all'
+            scene: The camera's detect scene, which defaults to 'default'
 
         Returns:
             The model the camera runs on
         """
-        by_scene = {model.scene: model for model in self.models}
-        model = by_scene.get(scene)
+        model = self._scene_models.get(scene)
 
         if model is not None:
             return model
 
-        default = by_scene.get(SceneEnum.all)
+        default = self._scene_models.get(DEFAULT_SCENE)
 
         if default is None:
             raise ValueError(
-                f"Camera '{name}' has a detect scene of '{scene.value}', but no model is configured for that scene or for 'all'."
+                f"Camera '{name}' has a detect scene of '{scene}', but no model is configured for that scene or for '{DEFAULT_SCENE}'."
             )
 
         logger.warning(
-            "Camera '%s' has a detect scene of '%s', but no model is configured for that scene, so the 'all' model is used",
+            "Camera '%s' has a detect scene of '%s', but no model is configured for that scene, so the '%s' model is used",
             name,
-            scene.value,
+            scene,
+            DEFAULT_SCENE,
         )
         return default
 
@@ -998,6 +1075,10 @@ class FrigateConfig(FrigateBaseModel):
             camera_model = self._resolve_camera_model(name, camera_config.detect.scene)
             self._camera_models[name] = camera_model
 
+            # point cameras at the model their duplicate scene was folded into
+            if camera_config.detect.scene in self._scene_models:
+                camera_config.detect.scene = camera_model.scene
+
             if camera_config.ffmpeg.hwaccel_args == "auto":
                 camera_config.ffmpeg.hwaccel_args = self.ffmpeg.hwaccel_args
 

frigate/detectors/detector_config.py

@@ -47,21 +47,17 @@ class ModelTypeEnum(str, Enum):
     yologeneric = "yolo-generic"
 
 
-class SceneEnum(str, Enum):
-    """The camera environment a detection model is intended for."""
-
-    all = "all"
-    indoor = "indoor"
-    outdoor = "outdoor"
-    indoor_thermal = "indoor_thermal"
-    outdoor_thermal = "outdoor_thermal"
+# the scene of the model used by cameras that don't name one
+DEFAULT_SCENE = "default"
+SCENE_PATTERN = r"^[A-Za-z0-9_-]+$"
 
 
 class ModelConfig(BaseModel):
-    scene: SceneEnum = Field(
-        default=SceneEnum.all,
+    scene: str = Field(
+        default=DEFAULT_SCENE,
+        pattern=SCENE_PATTERN,
         title="Model scene",
-        description="The camera environment this model is used for. Cameras select a model by setting detect.scene to a matching value, and 'all' is used by any camera that does not set one.",
+        description="A name for the camera environment this model is used for, such as 'thermal'. Cameras select a model by setting detect.scene to a matching value, and the 'default' model is used by any camera that does not set one.",
     )
     devices: list[str] = Field(
         default_factory=list,

frigate/test/test_camera_config_updater.py

@@ -9,7 +9,6 @@ from frigate.config.camera.updater import (
     CameraConfigUpdateSubscriber,
 )
 from frigate.const import SUB_CACHE_TAG
-from frigate.detectors.detector_config import SceneEnum
 
 
 def _build_scene_frigate_config(scene: str | None) -> FrigateConfig:
@@ -119,7 +118,7 @@ class TestRecordUpdateRecreatesFfmpegCmds(unittest.TestCase):
         subscriber = CameraConfigUpdateSubscriber(
             config, {}, [CameraConfigUpdateEnum.add, CameraConfigUpdateEnum.remove]
         )
-        assert config.model_for_camera("front_door").scene == SceneEnum.outdoor
+        assert config.model_for_camera("front_door").scene == "outdoor"
 
         subscriber.subscriber.check_for_update.side_effect = [
             ("config/cameras/front_door/remove", config.cameras["front_door"]),
@@ -136,7 +135,7 @@ class TestRecordUpdateRecreatesFfmpegCmds(unittest.TestCase):
         ]
         subscriber.check_for_updates()
 
-        assert config.model_for_camera("front_door").scene == SceneEnum.all
+        assert config.model_for_camera("front_door").scene == "default"
 
     def test_unchanged_record_update_keeps_existing_cmds(self):
         camera_config = _build_camera_config(sub_enabled=False)

frigate/test/test_config.py

@@ -1,5 +1,6 @@
 import json
 import os
+import tempfile
 import unittest
 from copy import deepcopy
 from unittest.mock import patch
@@ -11,7 +12,6 @@ from ruamel.yaml.constructor import DuplicateKeyError
 from frigate.config import BirdseyeModeEnum, FrigateConfig, RetainModeEnum
 from frigate.const import MODEL_CACHE_DIR
 from frigate.detectors import DetectorTypeEnum
-from frigate.detectors.detector_config import SceneEnum
 from frigate.detectors.device import build_detector_config, runner_names
 from frigate.util.builtin import deep_merge
 
@@ -68,7 +68,7 @@ class TestConfig(unittest.TestCase):
     def test_config_class(self):
         frigate_config = FrigateConfig(**self.minimal)
         model = frigate_config.primary_model
-        assert model.scene == SceneEnum.all
+        assert model.scene == "default"
         assert model.width == 320
         assert frigate_config.devices_for_model(model)[0].detector == (
             DetectorTypeEnum.cpu
@@ -140,8 +140,8 @@ class TestConfig(unittest.TestCase):
 
         frigate_config = FrigateConfig(**(deep_merge(config, self.minimal)))
 
-        assert frigate_config.model_for_camera("back").scene == SceneEnum.outdoor
-        assert frigate_config.model_for_camera("front").scene == SceneEnum.indoor
+        assert frigate_config.model_for_camera("back").scene == "outdoor"
+        assert frigate_config.model_for_camera("front").scene == "indoor"
         assert frigate_config.model_for_camera("back").width == 320
         assert frigate_config.model_for_camera("front").width == 300
 
@@ -177,7 +177,7 @@ class TestConfig(unittest.TestCase):
 
         frigate_config = FrigateConfig(**(deep_merge(config, self.minimal)))
 
-        assert frigate_config.model_for_camera("back").scene == SceneEnum.all
+        assert frigate_config.model_for_camera("back").scene == "default"
 
     @patch("frigate.detectors.detector_config.load_labels")
     def test_model_for_camera_resolves_camera_added_after_parse(self, mock_labels):
@@ -205,7 +205,7 @@ class TestConfig(unittest.TestCase):
         new_config = FrigateConfig(**(deep_merge(deepcopy(config), added)))
         frigate_config.cameras["new_cam"] = new_config.cameras["new_cam"]
 
-        assert frigate_config.model_for_camera("new_cam").scene == SceneEnum.outdoor
+        assert frigate_config.model_for_camera("new_cam").scene == "outdoor"
         assert frigate_config.model_for_camera("new_cam").width == 416
 
     @patch("frigate.detectors.detector_config.load_labels")
@@ -221,7 +221,7 @@ class TestConfig(unittest.TestCase):
         frigate_config = FrigateConfig(**(deep_merge(deepcopy(config), self.minimal)))
 
         # a caller racing a runtime remove may still name the popped camera
-        assert frigate_config.model_for_camera("removed").scene == SceneEnum.all
+        assert frigate_config.model_for_camera("removed").scene == "default"
 
     @patch("frigate.detectors.detector_config.load_labels")
     def test_camera_scene_without_a_model_or_a_default(self, mock_labels):
@@ -256,6 +256,124 @@ class TestConfig(unittest.TestCase):
         with self.assertRaises(ValidationError):
             FrigateConfig(**(deep_merge(config, self.minimal)))
 
+    @patch("frigate.detectors.detector_config.load_labels")
+    def test_scene_names_are_not_a_fixed_list(self, mock_labels):
+        mock_labels.return_value = {}
+        config = {
+            "models": [
+                {"devices": ["cpu"]},
+                {"scene": "garage_thermal", "devices": ["openvino:CPU"]},
+            ],
+            "cameras": {"back": {"detect": {"scene": "garage_thermal"}}},
+        }
+
+        frigate_config = FrigateConfig(**(deep_merge(config, self.minimal)))
+
+        assert frigate_config.model_for_camera("back").scene == "garage_thermal"
+
+    @patch("frigate.detectors.detector_config.load_labels")
+    def test_scene_names_must_be_simple_identifiers(self, mock_labels):
+        mock_labels.return_value = {}
+        config = {"models": [{"scene": "front yard", "devices": ["cpu"]}]}
+
+        with self.assertRaises(ValidationError):
+            FrigateConfig(**(deep_merge(config, self.minimal)))
+
+    def _two_scene_config(self, default_path: str, outdoor_path: str) -> dict:
+        return {
+            "models": [
+                {"path": default_path, "devices": ["openvino:CPU"]},
+                {"scene": "outdoor", "path": outdoor_path, "devices": ["openvino:GPU"]},
+            ],
+            "cameras": {"back": {"detect": {"scene": "outdoor"}}},
+        }
+
+    @patch("frigate.detectors.detector_config.load_labels")
+    def test_models_with_the_same_path_are_combined(self, mock_labels):
+        mock_labels.return_value = {}
+        config = self._two_scene_config("/etc/hosts", "/etc/hosts")
+
+        with self.assertLogs("frigate.config.config", level="WARNING") as logs:
+            frigate_config = FrigateConfig(**(deep_merge(config, self.minimal)))
+
+        assert len(frigate_config.models) == 1
+        model = frigate_config.primary_model
+        assert model.devices == ["openvino:CPU", "openvino:GPU"]
+        assert [d.raw for d in frigate_config.devices_for_model(model)] == [
+            "openvino:CPU",
+            "openvino:GPU",
+        ]
+        assert frigate_config.model_for_camera("back") is model
+        assert frigate_config.cameras["back"].detect.scene == "default"
+        assert any("same model file" in line for line in logs.output)
+
+    @patch("frigate.detectors.detector_config.load_labels")
+    def test_models_with_the_same_file_contents_are_combined(self, mock_labels):
+        mock_labels.return_value = {}
+
+        with tempfile.TemporaryDirectory() as temp_dir:
+            first = os.path.join(temp_dir, "model.onnx")
+            copy = os.path.join(temp_dir, "renamed.onnx")
+
+            for path in (first, copy):
+                with open(path, "wb") as f:
+                    f.write(b"same weights")
+
+            config = self._two_scene_config(first, copy)
+            frigate_config = FrigateConfig(**(deep_merge(config, self.minimal)))
+
+        assert len(frigate_config.models) == 1
+        assert frigate_config.model_for_camera("back").scene == "default"
+
+    @patch("frigate.detectors.detector_config.load_labels")
+    def test_models_with_different_files_are_kept_apart(self, mock_labels):
+        mock_labels.return_value = {}
+
+        with tempfile.TemporaryDirectory() as temp_dir:
+            first = os.path.join(temp_dir, "model.onnx")
+            other = os.path.join(temp_dir, "thermal.onnx")
+
+            for path, contents in ((first, b"visible"), (other, b"thermal")):
+                with open(path, "wb") as f:
+                    f.write(contents)
+
+            config = self._two_scene_config(first, other)
+            frigate_config = FrigateConfig(**(deep_merge(config, self.minimal)))
+
+        assert len(frigate_config.models) == 2
+        assert frigate_config.model_for_camera("back").scene == "outdoor"
+
+    @patch("frigate.detectors.detector_config.load_labels")
+    def test_combined_models_keep_the_default_model(self, mock_labels):
+        mock_labels.return_value = {}
+        config = {
+            "models": [
+                {"scene": "outdoor", "path": "/etc/hosts", "devices": ["openvino:GPU"]},
+                {"path": "/etc/hosts", "devices": ["openvino:CPU"]},
+            ],
+            "cameras": {"back": {"detect": {"scene": "outdoor"}}},
+        }
+
+        frigate_config = FrigateConfig(**(deep_merge(config, self.minimal)))
+
+        assert [model.scene for model in frigate_config.models] == ["default"]
+        assert frigate_config.primary_model.devices == ["openvino:CPU", "openvino:GPU"]
+        assert frigate_config.model_for_camera("back").scene == "default"
+
+    @patch("frigate.detectors.detector_config.load_labels")
+    def test_models_on_different_detectors_are_kept_apart(self, mock_labels):
+        mock_labels.return_value = {}
+        config = {
+            "models": [
+                {"path": "/etc/hosts", "devices": ["openvino:CPU"]},
+                {"scene": "outdoor", "path": "/etc/hosts", "devices": ["onnx"]},
+            ],
+        }
+
+        frigate_config = FrigateConfig(**(deep_merge(config, self.minimal)))
+
+        assert len(frigate_config.models) == 2
+
     @patch("frigate.detectors.detector_config.load_labels")
     def test_model_devices_must_share_a_detector(self, mock_labels):
         mock_labels.return_value = {}

frigate/test/test_config_migration.py

@@ -20,7 +20,7 @@ class TestMigrateModels(unittest.TestCase):
     def test_single_cpu_detector(self):
         migrated = migrate_models({"detectors": {"cpu": {"type": "cpu"}}})
 
-        self.assertEqual(migrated["models"], [{"scene": "all", "devices": ["cpu"]}])
+        self.assertEqual(migrated["models"], [{"scene": "default", "devices": ["cpu"]}])
         self.assertNotIn("detectors", migrated)
 
     def test_model_settings_are_carried_over(self):
@@ -35,7 +35,7 @@ class TestMigrateModels(unittest.TestCase):
             migrated["models"],
             [
                 {
-                    "scene": "all",
+                    "scene": "default",
                     "path": "plus://abc",
                     "width": 320,
                     "devices": ["edgetpu:pci:0"],
@@ -262,7 +262,7 @@ class TestMigrateConfigFile(unittest.TestCase):
             "mqtt:\n"
             "  enabled: false\n"
             "models:\n"
-            "  - scene: all\n"
+            "  - scene: default\n"
             "    devices:\n"
             "      - openvino:GPU\n"
             "cameras: {}\n"
@@ -270,7 +270,7 @@ class TestMigrateConfigFile(unittest.TestCase):
         )
 
         self.assertEqual(
-            migrated["models"], [{"scene": "all", "devices": ["openvino:GPU"]}]
+            migrated["models"], [{"scene": "default", "devices": ["openvino:GPU"]}]
         )
         self.assertFalse(
             os.path.exists(os.path.join(self.temp_dir.name, "backup_config.yaml"))
@@ -298,7 +298,7 @@ class TestMigrateConfigFile(unittest.TestCase):
             "mqtt:\n"
             "  enabled: false\n"
             "models:\n"
-            "  - scene: all\n"
+            "  - scene: default\n"
             "    devices:\n"
             "      - hailo8l:PCIe\n"
             "cameras: {}\n"

frigate/util/config.py

@@ -978,7 +978,7 @@ def migrate_models(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any
             ", ".join(sorted(detector_types)),
         )
 
-    entry: dict[str, Any] = {"scene": "all", **model}
+    entry: dict[str, Any] = {"scene": "default", **model}
 
     if model_path:
         entry["path"] = model_path