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Implement facenet tflite for small face recognition model (#17402)

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Nicolas Mowen
2025-03-27 05:31:29 -06:00
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docs/docs/configuration/face_recognition.md
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@@ -23,15 +23,15 @@ 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 FaceNet embedding model 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 large ArcFace embedding model that 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 `large` model is optimized for accuracy and an integrated or discrete GPU is highly recommended.
The `small` model is optimized for efficiency and runs on the CPU, most CPUs should run the model efficiently.
The `large` model is optimized for accuracy, an integrated or discrete GPU is highly recommended.
## Configuration