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3 Commits

Author SHA1 Message Date
Josh Hawkins
6fdae883bd add note about detect stream to face rec docs 2025-06-01 15:37:16 -05:00
Josh Hawkins
ee30e814d8 clarify 2025-06-01 15:27:15 -05:00
Josh Hawkins
4d798370cc clarify hardware accelerated enrichments 2025-06-01 14:28:15 -05:00
2 changed files with 3 additions and 1 deletions

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@ -45,6 +45,8 @@ face_recognition:
enabled: true
```
Like the other real-time processors in Frigate, face recognition runs on the camera stream defined by the `detect` role in your config. To ensure optimal performance, select a suitable resolution for this stream in your camera's firmware that fits your specific scene and requirements.
## Advanced Configuration
Fine-tune face recognition with these optional parameters at the global level of your config. The only optional parameters that can be set at the camera level are `enabled` and `min_area`.

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@ -23,7 +23,7 @@ Object detection and enrichments (like Semantic Search, Face Recognition, and Li
- Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image.
- Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware for object detection.
Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is TensorRT for object detection and OpenVINO for enrichments.
:::note