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	docker/rocm: readme about running on AMD GPUs
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# AMD/ROCm GPU based detector
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## Docker settings
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AMD/ROCm needs access to `/dev/kfd` and `/dev/dri`. When running as user also needs the `video group. Sometimes also needs the `render` and `ssh/_ssh` groups.
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For reference/comparison see [running ROCm PyTorch Docker image](https://rocm.docs.amd.com/projects/install-on-linux/en/develop/how-to/3rd-party/pytorch-install.html#using-docker-with-pytorch-pre-installed).
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```bash
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$ docker run -it --device=/dev/kfd --device=/dev/dri --group-add video \
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    ...
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```
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## Frigate configuration
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An example of a working configuration:
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```yaml
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model:
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  path: /yolov8n_320x320.onnx
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  labelmap_path: /yolov8s_labels.txt
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  model_type: yolov8
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detectors:
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  rocm:
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    type: rocm
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```
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