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identation, device Id (#3921)

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* identation, device Id

indentation issue : "deploy"  need to ne at th esame level as "image"
Device ID : use "device id" instead of "count: 1" cf : https://docs.docker.com/compose/gpu-support/

* Update docs/docs/configuration/hardware_acceleration.md

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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docs/docs/configuration/hardware_acceleration.md
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@ -46,7 +46,7 @@ ffmpeg:
These instructions are based on the [jellyfin documentation](https://jellyfin.org/docs/general/administration/hardware-acceleration.html#nvidia-hardware-acceleration-on-docker-linux) 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. 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
```yaml ```yaml
services: services:
frigate: frigate:
@ -57,7 +57,7 @@ services:
reservations: reservations:
devices: devices:
- driver: nvidia - driver: nvidia
count: 1 device_ids: ['0'] # this is only needed when using multiple GPUs
capabilities: [gpu] capabilities: [gpu]
``` ```
@ -86,7 +86,7 @@ ffmpeg:
``` ```
If everything is working correctly, you should see a significant improvement in performance. If everything is working correctly, you should see a significant improvement in performance.
Verify that hardware decoding is working by running `nvidia-smi`, which should show the ffmpeg Verify that hardware decoding is working by running `docker exec -it frigate nvidia-smi`, which should show the ffmpeg
processes: processes:
``` ```