diff --git a/docs/docs/configuration/license_plate_recognition.md b/docs/docs/configuration/license_plate_recognition.md index a9c487b0e..91d9c63fb 100644 --- a/docs/docs/configuration/license_plate_recognition.md +++ b/docs/docs/configuration/license_plate_recognition.md @@ -103,7 +103,7 @@ Fine-tune the LPR feature using these optional parameters: ## Configuration Examples -These configuration parameters are available at the global level of your config. The only optional parameters that should be set at the camera level are `enabled` and `min_area`. +These configuration parameters are available at the global level of your config. The only optional parameters that should be set at the camera level are `enabled`, `min_area`, and `enhancement`. ```yaml lpr: diff --git a/docs/docs/frigate/installation.md b/docs/docs/frigate/installation.md index fe4262313..8fade1a78 100644 --- a/docs/docs/frigate/installation.md +++ b/docs/docs/frigate/installation.md @@ -242,17 +242,15 @@ docker run -d \ The official docker image tags for the current stable version are: -- `stable` - Standard Frigate build for amd64 & RPi Optimized Frigate build for arm64 +- `stable` - Standard Frigate build for amd64 & RPi Optimized Frigate build for arm64. This build includes support for Hailo devices as well. - `stable-standard-arm64` - Standard Frigate build for arm64 - `stable-tensorrt` - Frigate build specific for amd64 devices running an nvidia GPU +- `stable-rocm` - Frigate build for [AMD GPUs](../configuration/object_detectors.md#amdrocm-gpu-detector) The community supported docker image tags for the current stable version are: -- `stable-tensorrt-jp5` - Frigate build optimized for nvidia Jetson devices running Jetpack 5 - `stable-tensorrt-jp6` - Frigate build optimized for nvidia Jetson devices running Jetpack 6 - `stable-rk` - Frigate build for SBCs with Rockchip SoC -- `stable-rocm` - Frigate build for [AMD GPUs](../configuration/object_detectors.md#amdrocm-gpu-detector) - - `stable-h8l` - Frigate build for the Hailo-8L M.2 PICe Raspberry Pi 5 hat ## Home Assistant Add-on