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Docs updates (#22131)

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* fix config examples

* remove reference to trt model generation script

* tweak tmpfs comment

* update old version

* tweak tmpfs comment

* clean up and clarify tensorrt

* re-add size

* Update docs/docs/configuration/hardware_acceleration_enrichments.md

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
This commit is contained in:
Josh Hawkins
2026-02-26 10:57:33 -07:00
committed by GitHub
co-authored by Nicolas Mowen
parent 352d271fe4
commit a0d6cb5c15
7 changed files with 50 additions and 59 deletions
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docs/docs/configuration/object_detectors.md
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@@ -34,7 +34,7 @@ Frigate supports multiple different detectors that work on different types of ha
**Nvidia GPU**
- [ONNX](#onnx): TensorRT will automatically be detected and used as a detector in the `-tensorrt` Frigate image when a supported ONNX model is configured.
- [ONNX](#onnx): Nvidia GPUs will automatically be detected and used as a detector in the `-tensorrt` Frigate image when a supported ONNX model is configured.
**Nvidia Jetson** <CommunityBadge />
@@ -65,7 +65,7 @@ This does not affect using hardware for accelerating other tasks such as [semant
# Officially Supported Detectors
Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `hailo8l`, `memryx`, `onnx`, `openvino`, `rknn`, and `tensorrt`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
Frigate provides a number of builtin detector types. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
## Edge TPU Detector
@@ -654,11 +654,9 @@ ONNX is an open format for building machine learning models, Frigate supports ru
If the correct build is used for your GPU then the GPU will be detected and used automatically.
- **AMD**
- ROCm will automatically be detected and used with the ONNX detector in the `-rocm` Frigate image.
- **Intel**
- OpenVINO will automatically be detected and used with the ONNX detector in the default Frigate image.
- **Nvidia**