From a3f32014109301b48285bca3df8307dc9c82b038 Mon Sep 17 00:00:00 2001 From: Nicolas Mowen Date: Mon, 3 Feb 2025 06:49:34 -0700 Subject: [PATCH] Improve hierarchy --- docs/docs/frigate/hardware.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md index 2f6ef988c..6d25ac955 100644 --- a/docs/docs/frigate/hardware.md +++ b/docs/docs/frigate/hardware.md @@ -88,25 +88,25 @@ Inference speeds will vary greatly depending on the GPU and the model used. | Quadro P400 2GB | 20 - 25 ms | | | Quadro P2000 | ~ 12 ms | | -#### AMD GPUs +### AMD GPUs With the [rocm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs. -#### Hailo-8l PCIe +### Hailo-8l PCIe Frigate supports the Hailo-8l M.2 card on any hardware but currently it is only tested on the Raspberry Pi5 PCIe hat from the AI kit. The inference time for the Hailo-8L chip at time of writing is around 17-21 ms for the SSD MobileNet Version 1 model. -### Community Supported: +## Community Supported Detectors: -#### Nvidia Jetson +### Nvidia Jetson Frigate supports all Jetson boards, from the inexpensive Jetson Nano to the powerful Jetson Orin AGX. It will [make use of the Jetson's hardware media engine](/configuration/hardware_acceleration#nvidia-jetson-orin-agx-orin-nx-orin-nano-xavier-agx-xavier-nx-tx2-tx1-nano) when configured with the [appropriate presets](/configuration/ffmpeg_presets#hwaccel-presets), and will make use of the Jetson's GPU and DLA for object detection when configured with the [TensorRT detector](/configuration/object_detectors#nvidia-tensorrt-detector). Inference speed will vary depending on the YOLO model, jetson platform and jetson nvpmodel (GPU/DLA/EMC clock speed). It is typically 20-40 ms for most models. The DLA is more efficient than the GPU, but not faster, so using the DLA will reduce power consumption but will slightly increase inference time. -#### Rockchip platform +### Rockchip platform Frigate supports hardware video processing on all Rockchip boards. However, hardware object detection is only supported on these boards: