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Refactor model scene definitions (#24508)
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* Refactor model scene definitions * Cleanup * Validate model paths in the UI * Handle form validation
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@@ -152,9 +152,10 @@ auth:
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models:
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# Optional: the camera environment this model is for (default: shown below)
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# Cameras select a model by setting detect -> scene to a matching value, and
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# a model with a scene of all is used by any camera that does not set one.
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# Valid values are all, indoor, outdoor, indoor_thermal, outdoor_thermal
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- scene: all
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# the model with a scene of default is used by any camera that does not set one.
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# Any name made up of letters, numbers, _ and - is valid, such as thermal.
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# Models that use the same model file are combined into one model.
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- scene: default
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# Required: hardware this model runs on, as <detector> or <detector>:<device>
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# See https://docs.frigate.video/configuration/object_detectors for the
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# detectors available and the devices each one accepts. All of a model's
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@@ -316,9 +317,9 @@ detect:
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# Optional: height of the frame for the input with the detect role (default: use native stream resolution)
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height: 720
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# Optional: the environment this camera looks at, which picks the model it runs on
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# (default: the model with a scene of all)
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# Valid values are all, indoor, outdoor, indoor_thermal, outdoor_thermal
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scene: outdoor
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# (default: the model with a scene of default)
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# Must match the scene of a configured model
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scene: thermal
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# Optional: desired fps for your camera for the input with the detect role (default: shown below)
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# NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
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fps: 5
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@@ -103,32 +103,36 @@ Coral EdgeTPU and MemryX accelerators can only be opened by one process, so thos
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### Running more than one model
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Cameras can be split across models by scene, which is useful when indoor and outdoor cameras benefit from differently trained models. Each model declares the `scene` it is for, and each camera picks one with `detect -> scene`:
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Cameras can be split across models by scene, which is useful when some cameras benefit from a differently trained model, such as thermal cameras. Each model declares the `scene` it is for, and each camera picks one with `detect -> scene`:
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```yaml
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models:
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- scene: outdoor
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path: plus://your-outdoor-model
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- scene: default
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path: plus://your-model
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devices:
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- edgetpu:pci:0
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- scene: indoor
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path: /config/model_cache/indoor.onnx
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- scene: thermal
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path: /config/model_cache/thermal.onnx
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model_type: yolo-generic
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devices:
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- openvino:GPU
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cameras:
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driveway:
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detect:
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scene: outdoor
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...
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hallway:
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backyard_thermal:
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detect:
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scene: indoor
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scene: thermal
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...
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```
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Available scenes are `all`, `indoor`, `outdoor`, `indoor_thermal`, and `outdoor_thermal`. A model with a scene of `all` is used by every camera that does not set one, and `all` is the default when a model does not declare a scene. Changing a camera's scene requires a restart.
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A scene is any name made up of letters, numbers, `_`, and `-`. The model with a scene of `default` is used by every camera that does not set one (or sets a scene that no model is configured for), and `default` is used when a model does not declare a scene. Changing a camera's scene requires a restart.
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:::warning
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Scenes are for running **different** models. Do not configure the same model under several scenes to dedicate a detector to specific cameras: every detector of a model already serves every camera using it, and splitting them only leaves some detectors idle while others fall behind. Frigate detects models that use the same model file, even under a different path or file name, combines them into one model with all of their hardware, and logs a warning.
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:::
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### Choosing a model size
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