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frigate/docs/docs/configuration/hardware_acceleration_enrichments.md
Nicolas Mowen 1be84d6833 Add automatic RKNN conversion and support for semantic search model (#19676)
* Create RKNN model runner and and use for jina v1 clip

* Formatting

* Handle model type inference

* Properly provide input to RKNN

* Adjust rknn conversion

* Update docs

* Formatting

* Fix path handling

* Handle inputs

* Cleanup

* Change normalization for better accuracy

* Clarify supported models

* Remove testing
2025-08-21 05:30:14 -06:00

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---
id: hardware_acceleration_enrichments
title: Enrichments
---
# Enrichments
Some of Frigate's enrichments can use a discrete GPU / NPU for accelerated processing.
## Requirements
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.
- **AMD**
- ROCm will automatically be detected and used for enrichments in the `-rocm` Frigate image.
- **Intel**
- OpenVINO will automatically be detected and used for enrichments in the default Frigate image.
- **Nvidia**
- 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.
- **RockChip**
- RockChip NPU will automatically be detected and used for semantic search (v1 only) 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.
:::note
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.
:::