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Update docs / settings model info

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Nicolas Mowen 2025-03-26 13:28:47 -06:00
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6
docs/docs/configuration/face_recognition.md
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@ -23,14 +23,14 @@ Frigate needs to first detect a `face` before it can recognize a face.
Frigate has support for two face recognition model types:
- **small**: Frigate will use CV2 Local Binary Pattern Face Recognizer to recognize faces, which runs locally on the CPU. This model is optimized for efficiency and is not as accurate.
- **large**: Frigate will run a face embedding model, this model is optimized for accuracy. It is only recommended to be run when an integrated or dedicated GPU is available.
- **small**: Frigate will run a small FaceNet embedding model, which runs locally on the CPU. This model is optimized for efficiency and is not as accurate.
- **large**: Frigate will run a large ArcFace embedding model, this model is optimized for accuracy. It is only recommended to be run when an integrated or dedicated GPU is available.
In both cases a lightweight face landmark detection model is also used to align faces before running the recognition model.
## Minimum System Requirements
The `small` model is optimized for efficiency and runs on the CPU, there are no significantly different system requirements.
The `small` model is optimized for efficiency and runs on the CPU, there are no significantly different system requirements, though users on ultra efficient systems may see CPU spikes.
The `large` model is optimized for accuracy and an integrated or discrete GPU is highly recommended.
## Configuration

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web/public/locales/en/views/settings.json
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@ -113,11 +113,11 @@
"desc": "The size of the model used for face recognition.",
"small": {
"title": "small",
"desc": "Using <em>small</em> employs a Local Binary Pattern Histogram model via OpenCV that runs efficiently on most CPUs."
"desc": "Using <em>small</em> employs a FaceNet face embedding that runs efficiently on most CPUs."
},
"large": {
"title": "large",
"desc": "Using <em>large</em> employs an ArcFace Face embedding model and will automatically run on the GPU if applicable."
"desc": "Using <em>large</em> employs an ArcFace face embedding model and will automatically run on the GPU if applicable."
}
}
},