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update reference configuration
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@ -546,6 +546,9 @@ semantic_search:
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# Optional: Set the model size used for embeddings. (default: shown below)
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# Optional: Set the model size used for embeddings. (default: shown below)
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# NOTE: small model runs on CPU and large model runs on GPU
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# NOTE: small model runs on CPU and large model runs on GPU
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model_size: "small"
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model_size: "small"
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# Optional: Target a specific device to run the model (default: None)
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# NOTE: See https://onnxruntime.ai/docs/execution-providers/ for more information
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#device:
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# Optional: Configuration for face recognition capability
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# Optional: Configuration for face recognition capability
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# NOTE: enabled, min_area can be overridden at the camera level
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# NOTE: enabled, min_area can be overridden at the camera level
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@ -569,6 +572,9 @@ face_recognition:
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blur_confidence_filter: True
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blur_confidence_filter: True
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# Optional: Set the model size used face recognition. (default: shown below)
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# Optional: Set the model size used face recognition. (default: shown below)
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model_size: small
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model_size: small
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# Optional: Target a specific device to run the model (default: None)
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# NOTE: See https://onnxruntime.ai/docs/execution-providers/ for more information
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#device:
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# Optional: Configuration for license plate recognition capability
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# Optional: Configuration for license plate recognition capability
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# NOTE: enabled, min_area, and enhancement can be overridden at the camera level
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# NOTE: enabled, min_area, and enhancement can be overridden at the camera level
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@ -576,6 +582,7 @@ lpr:
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# Optional: Enable license plate recognition (default: shown below)
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# Optional: Enable license plate recognition (default: shown below)
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enabled: False
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enabled: False
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# Optional: The device to run the models on (default: shown below)
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# Optional: The device to run the models on (default: shown below)
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# NOTE: See https://onnxruntime.ai/docs/execution-providers/ for more information
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device: CPU
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device: CPU
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# Optional: Set the model size used for text detection. (default: shown below)
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# Optional: Set the model size used for text detection. (default: shown below)
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model_size: small
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model_size: small
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