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Refactor detector and model management (#23995)
* Refactor detector and model management * Fix model resolution field
This commit is contained in:
Nicolas Mowen
@@ -56,17 +56,6 @@ mqtt:
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# 2 = exactly once
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qos: 0
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# Optional: Detectors configuration. Defaults to a single CPU detector
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detectors:
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# Required: name of the detector
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detector_name:
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# Required: type of the detector
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# Frigate provides many types, see https://docs.frigate.video/configuration/object_detectors for more details (default: shown below)
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# Additional detector types can also be plugged in.
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# Detectors may require additional configuration.
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# Refer to the Detectors configuration page for more information.
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type: cpu
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# Optional: Database configuration
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database:
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# The path to store the SQLite DB (default: shown below)
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@@ -157,44 +146,56 @@ auth:
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- front_door
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- back_yard
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# Optional: model modifications
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# Optional: object detection models. Defaults to a single model on a CPU detector.
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# NOTE: The default values are for the EdgeTPU detector.
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# Other detectors will require the model config to be set.
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model:
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# Required: path to the model. Frigate+ models use plus://<model_id> (default: automatic based on detector)
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path: /edgetpu_model.tflite
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# Required: path to the labelmap (default: shown below)
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labelmap_path: /labelmap.txt
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# Required: Object detection model input width (default: shown below)
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width: 320
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# Required: Object detection model input height (default: shown below)
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height: 320
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# Required: Object detection model input colorspace
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# Valid values are rgb, bgr, or yuv. (default: shown below)
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input_pixel_format: rgb
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# Required: Object detection model input tensor format
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# Valid values are nhwc, nchw, hwnc, or hwcn (default: shown below)
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input_tensor: nhwc
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# Optional: Data type of the model input tensor
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# Valid values are float, float_denorm, or int (default: shown below)
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input_dtype: int
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# Required: Object detection model architecture, used by detectors that support more
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# than one model type (openvino, onnx, rknn, memryx, axengine, synaptics, and others)
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# Valid values are ssd, yolox, yolonas, yolo-generic, rfdetr, dfine (default: shown below)
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model_type: ssd
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# Required: Label name modifications. These are merged into the standard labelmap.
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labelmap:
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2: vehicle
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# Optional: Map of object labels to their attribute labels (default: depends on model)
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attributes_map:
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person:
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- amazon
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- face
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car:
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- amazon
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- fedex
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- license_plate
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- ups
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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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# 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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# devices must use the same detector. Listing the same device more than once
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# runs additional inference processes on it.
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devices:
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- edgetpu:pci:0
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# Required: path to the model. Frigate+ models use plus://<model_id> (default: automatic based on detector)
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path: /edgetpu_model.tflite
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# Required: path to the labelmap (default: shown below)
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labelmap_path: /labelmap.txt
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# Required: Object detection model input width (default: shown below)
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width: 320
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# Required: Object detection model input height (default: shown below)
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height: 320
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# Required: Object detection model input colorspace
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# Valid values are rgb, bgr, or yuv. (default: shown below)
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input_pixel_format: rgb
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# Required: Object detection model input tensor format
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# Valid values are nhwc, nchw, hwnc, or hwcn (default: shown below)
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input_tensor: nhwc
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# Optional: Data type of the model input tensor
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# Valid values are float, float_denorm, or int (default: shown below)
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input_dtype: int
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# Required: Object detection model architecture, used by detectors that support more
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# than one model type (openvino, onnx, rknn, memryx, axengine, synaptics, and others)
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# Valid values are ssd, yolox, yolonas, yolo-generic, rfdetr, dfine (default: shown below)
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model_type: ssd
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# Required: Label name modifications. These are merged into the standard labelmap.
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labelmap:
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2: vehicle
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# Optional: Map of object labels to their attribute labels (default: depends on model)
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attributes_map:
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person:
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- amazon
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- face
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car:
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- amazon
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- fedex
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- license_plate
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- ups
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# Optional: Audio Events Configuration
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# NOTE: Can be overridden at the camera level
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@@ -314,6 +315,10 @@ detect:
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width: 1280
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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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# 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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