From 8efe2364e85c1deb2d776ddae2c0104ec724cdd6 Mon Sep 17 00:00:00 2001 From: Blake Blackshear Date: Sat, 6 Sep 2025 13:24:31 -0500 Subject: [PATCH] footnote memryx suport --- docs/docs/plus/index.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/docs/docs/plus/index.md b/docs/docs/plus/index.md index 35cecb2ae..f1fdaa7f6 100644 --- a/docs/docs/plus/index.md +++ b/docs/docs/plus/index.md @@ -15,11 +15,13 @@ There are three model types offered in Frigate+, `mobiledet`, `yolonas`, and `yo Not all model types are supported by all detectors, so it's important to choose a model type to match your detector as shown in the table under [supported detector types](#supported-detector-types). You can test model types for compatibility and speed on your hardware by using the base models. -| Model Type | Description | -| ----------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs. | -| `yolonas` | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs. | -| `yolov9` | A leading SOTA (state of the art) object detection model with similar performance to yolonas, but on a wider range of hardware options. Runs on Intel, NVidia GPUs, AMD GPUs, Hailo, MemryX, and Rockchip NPUs. | +| Model Type | Description | +| ----------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs. | +| `yolonas` | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs. | +| `yolov9` | A leading SOTA (state of the art) object detection model with similar performance to yolonas, but on a wider range of hardware options. Runs on Intel, NVidia GPUs, AMD GPUs, Hailo, MemryX\*, and Rockchip NPUs. | + +_\* Support coming in 0.17_ ### YOLOv9