adopt official HA language, change add-on to app (#22258)

This commit is contained in:
Josh Hawkins
2026-03-05 16:20:02 -07:00
committed by GitHub
parent c338533c83
commit ab3cef813c
13 changed files with 64 additions and 78 deletions
@@ -10,6 +10,7 @@ import CommunityBadge from '@site/src/components/CommunityBadge';
It is highly recommended to use an integrated or discrete GPU for hardware acceleration video decoding in Frigate.
Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated decoding in ffmpeg. To verify that hardware acceleration is working:
- Check the logs: A message will either say that hardware acceleration was automatically detected, or there will be a warning that no hardware acceleration was automatically detected
- If hardware acceleration is specified in the config, verification can be done by ensuring the logs are free from errors. There is no CPU fallback for hardware acceleration.
@@ -67,7 +68,7 @@ Frigate can utilize most Intel integrated GPUs and Arc GPUs to accelerate video
:::note
The default driver is `iHD`. You may need to change the driver to `i965` by adding the following environment variable `LIBVA_DRIVER_NAME=i965` to your docker-compose file or [in the `config.yml` for HA Add-on users](advanced.md#environment_vars).
The default driver is `iHD`. You may need to change the driver to `i965` by adding the following environment variable `LIBVA_DRIVER_NAME=i965` to your docker-compose file or [in the `config.yml` for HA App users](advanced.md#environment_vars).
See [The Intel Docs](https://www.intel.com/content/www/us/en/support/articles/000005505/processors.html) to figure out what generation your CPU is.
@@ -188,7 +189,7 @@ Frigate can utilize modern AMD integrated GPUs and AMD GPUs to accelerate video
### 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).
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 App users](advanced.md#environment_vars).
### Via VAAPI
@@ -292,7 +293,7 @@ These instructions were originally based on the [Jellyfin documentation](https:/
## Raspberry Pi 3/4
Ensure you increase the allocated RAM for your GPU to at least 128 (`raspi-config` > Performance Options > GPU Memory).
If you are using the HA Add-on, you may need to use the full access variant and turn off _Protection mode_ for hardware acceleration.
If you are using the HA App, you may need to use the full access variant and turn off _Protection mode_ for hardware acceleration.
```yaml
# if you want to decode a h264 stream