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Update Nvidia Hwaccel Docs #5172

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Jan 21, 2023
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Update Nvidia Hwaccel Docs #5172

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Update hardware_acceleration.md
NickM-27 Jan 20, 2023
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Update docs/docs/configuration/hardware_acceleration.md
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18 changes: 16 additions & 2 deletions docs/docs/configuration/hardware_acceleration.md
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Expand Up @@ -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:
Expand All @@ -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)
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