Miscellaneous fixes (0.17 Beta) (#21489)

* Correctly set query padding

* Adjust AMD headers and add community badge

* Simplify getting started guide for camera wizard

* add optimizing performance guide

* tweaks

* fix character issue

* fix more characters

* fix links

* fix more links

* Refactor new docs

* Add import

* Fix link

* Don't list hardware

* Reduce redundancy in titles

* Add note about Intel NPU and addon

* Fix ability to specify if card is using heading

* improve display of area percentage

* fix text color on genai summary chip

* fix indentation in genai docs

* Adjust default config model to align with recommended

* add correct genai key

---------

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>

docs/docs/configuration/genai.md

@@ -211,7 +211,7 @@ You are also able to define custom prompts in your configuration.
 genai:
   provider: ollama
   base_url: http://localhost:11434
-  model: llava
+  model: qwen3-vl:8b-instruct
 
 objects:
   prompt: "Analyze the {label} in these images from the {camera} security camera. Focus on the actions, behavior, and potential intent of the {label}, rather than just describing its appearance."

docs/docs/configuration/genai/objects.md

@@ -39,9 +39,10 @@ You are also able to define custom prompts in your configuration.
 genai:
   provider: ollama
   base_url: http://localhost:11434
-  model: llava
+  model: qwen3-vl:8b-instruct
 
 objects:
+  genai:
     prompt: "Analyze the {label} in these images from the {camera} security camera. Focus on the actions, behavior, and potential intent of the {label}, rather than just describing its appearance."
     object_prompts:
       person: "Examine the main person in these images. What are they doing and what might their actions suggest about their intent (e.g., approaching a door, leaving an area, standing still)? Do not describe the surroundings or static details."

docs/docs/configuration/hardware_acceleration_video.md

@@ -3,6 +3,8 @@ id: hardware_acceleration_video
 title: Video Decoding
 ---
 
+import CommunityBadge from '@site/src/components/CommunityBadge';
+
 # Video Decoding
 
 It is highly recommended to use an integrated or discrete GPU for hardware acceleration video decoding in Frigate.
@@ -31,11 +33,11 @@ Frigate supports presets for optimal hardware accelerated video decoding:
 
 - [Raspberry Pi](#raspberry-pi-34): Frigate can utilize the media engine in the Raspberry Pi 3 and 4 to slightly accelerate video decoding.
 
-**Nvidia Jetson**
+**Nvidia Jetson** <CommunityBadge />
 
 - [Jetson](#nvidia-jetson): Frigate can utilize the media engine in Jetson hardware to accelerate video decoding.
 
-**Rockchip**
+**Rockchip** <CommunityBadge />
 
 - [RKNN](#rockchip-platform): Frigate can utilize the media engine in RockChip SOCs to accelerate video decoding.
 
@@ -184,11 +186,11 @@ If you are passing in a device path, make sure you've passed the device through
 
 Frigate can utilize modern AMD integrated GPUs and AMD GPUs to accelerate video decoding using VAAPI.
 
-:::note
+### Configuring Radeon Driver
 
 You need to change the driver to `radeonsi` by adding the following environment variable `LIBVA_DRIVER_NAME=radeonsi` to your docker-compose file or [in the `config.yml` for HA Add-on users](advanced.md#environment_vars).
 
-:::
+### Via VAAPI
 
 VAAPI supports automatic profile selection so it will work automatically with both H.264 and H.265 streams.