From 16d128ad8be6d761fcaa071fdfbcae6928129e22 Mon Sep 17 00:00:00 2001 From: Nicolas Mowen Date: Thu, 26 Sep 2024 15:23:10 -0600 Subject: [PATCH] Moce CPU to bottom --- docs/docs/configuration/object_detectors.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md index b02828586..82a6525b7 100644 --- a/docs/docs/configuration/object_detectors.md +++ b/docs/docs/configuration/object_detectors.md @@ -28,6 +28,9 @@ Frigate supports multiple different detectors that work on different types of ha **Rockchip** - [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs. +**For Testing** +- [CPU Detector (not recommended for actual use](#cpu-detector-not-recommended): Use a CPU to run tflite model, this is not recommended and in most cases OpenVINO can be used in CPU mode with better results. + ::: # Officially Supported Detectors @@ -464,9 +467,9 @@ Note that the labelmap uses a subset of the complete COCO label set that has onl The CPU detector type runs a TensorFlow Lite model utilizing the CPU without hardware acceleration. It is recommended to use a hardware accelerated detector type instead for better performance. To configure a CPU based detector, set the `"type"` attribute to `"cpu"`. -:::tip +:::danger -If you do not have GPU or Edge TPU hardware, using the [OpenVINO Detector](#openvino-detector) is often more efficient than using the CPU detector. +The CPU detector is not recommended for general use. If you do not have GPU or Edge TPU hardware, using the [OpenVINO Detector](#openvino-detector) in CPU mode is often more efficient than using the CPU detector. :::