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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
36 lines
1.7 KiB
Markdown
36 lines
1.7 KiB
Markdown
---
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id: hardware_acceleration_enrichments
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title: Enrichments
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---
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# Enrichments
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Some of Frigate's enrichments can use a discrete GPU / NPU for accelerated processing.
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## Requirements
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Object detection and enrichments (like Semantic Search, Face Recognition, and License Plate Recognition) are independent features. To use a GPU / NPU for object detection, see the [Object Detectors](/configuration/object_detectors.md) documentation. If you want to use your GPU for any supported enrichments, you must choose the appropriate Frigate Docker image for your GPU / NPU and configure the enrichment according to its specific documentation.
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- **AMD**
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- ROCm will automatically be detected and used for enrichments in the `-rocm` Frigate image.
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- **Intel**
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- OpenVINO will automatically be detected and used for enrichments in the default Frigate image.
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- **Nvidia**
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- Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image.
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- Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
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- **RockChip**
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- RockChip NPU will automatically be detected and used for semantic search v1 and face recognition in the `-rk` Frigate image.
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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.
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:::note
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A Google Coral is a TPU (Tensor Processing Unit), not a dedicated GPU (Graphics Processing Unit) and therefore does not provide any kind of acceleration for Frigate's enrichments.
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:::
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