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Update Nvidia Hwaccel Docs (#5172)

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* Update hardware_acceleration.md

* Update hardware_acceleration.md

* Update hardware_acceleration.md

* Update hardware_acceleration.md

* Update docs/docs/configuration/hardware_acceleration.md

Co-authored-by: Felipe Santos <felipecassiors@gmail.com>

Co-authored-by: Felipe Santos <felipecassiors@gmail.com>
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Nicolas Mowen 2023-01-20 19:41:34 -07:00 committed by GitHub
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docs/docs/configuration/hardware_acceleration.md
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@ -45,8 +45,10 @@ ffmpeg:
These instructions are based on the [jellyfin documentation](https://jellyfin.org/docs/general/administration/hardware-acceleration.html#nvidia-hardware-acceleration-on-docker-linux)
Add `--gpus all` to your docker run command or update your compose file.
If you have multiple Nvidia graphic card, you can add them with their ids obtained via `nvidia-smi` command
Additional configuration is needed for the docker container to be able to access the Nvidia GPU and this depends on how docker is being run:
#### Docker Compose
```yaml
services:
frigate:
@ -62,6 +64,18 @@ services:
capabilities: [gpu]
```
#### Docker Run CLI
```bash
docker run -d \
--name frigate \
...
--gpus=all \
ghcr.io/blakeblackshear/frigate:stable
```
#### Setup Decoder
The decoder you need to pass in the `hwaccel_args` will depend on the input video.
A list of supported codecs (you can use `ffmpeg -decoders | grep cuvid` in the container to get a list)