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Support face recognition via RKNN (#19687)

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* Add support for face recognition via RKNN

* Fix crash when adding camera in via UI

* Update docs regarding support for face recognition

* Formatting
This commit is contained in:
Nicolas Mowen
2025-08-21 06:18:55 -06:00
committed by GitHub
parent 1be84d6833
commit f39475a383
5 changed files with 24 additions and 26 deletions
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4
docs/docs/configuration/face_recognition.md
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@@ -24,7 +24,7 @@ Frigate needs to first detect a `person` before it can detect and recognize a fa
Frigate has support for two face recognition model types:
- **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.
- **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 / NPU is available.
In both cases, a lightweight face landmark detection model is also used to align faces before running recognition.
@@ -34,7 +34,7 @@ All of these features run locally on your system.
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 required. See the [Hardware Accelerated Enrichments](/configuration/hardware_acceleration_enrichments.md) documentation.
The `large` model is optimized for accuracy, an integrated or discrete GPU / NPU is required. See the [Hardware Accelerated Enrichments](/configuration/hardware_acceleration_enrichments.md) documentation.
## Configuration

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docs/docs/configuration/hardware_acceleration_enrichments.md
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@@ -24,7 +24,7 @@ Object detection and enrichments (like Semantic Search, Face Recognition, and Li
- Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
- **RockChip**
- RockChip NPU will automatically be detected and used for semantic search (v1 only) in the `-rk` Frigate image.
- RockChip NPU will automatically be detected and used for semantic search v1 and face recognition in the `-rk` 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 like a Coral or Hailo for object detection. However, one combination that is not supported is TensorRT for object detection and OpenVINO for enrichments.