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updated build names for documentation

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Indrek Mandre 2024-02-09 14:04:02 +02:00
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commit 7237a79cb2
2 changed files with 8 additions and 4 deletions
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8
docs/docs/configuration/object_detectors.md
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@ -402,13 +402,13 @@ detectors:
The `rocm` detector allows one to use [ultralytics](https://github.com/ultralytics/ultralytics) yolov8 models on AMD GPUs and iGPUs. You need the special frigate build that contains the AMD/ROCm software stack:
- `ghcr.io/harakas/frigate:latest-rocm`
- `ghcr.io/blakeblackshear/frigate:stable-rocm`
As the ROCm software stack is quite bloated, there are also smaller versions for specific GPU chipsets:
- `ghcr.io/harakas/frigate:latest-rocm-gfx900`
- `ghcr.io/harakas/frigate:latest-rocm-gfx1030`
- `ghcr.io/harakas/frigate:latest-rocm-gfx1100`
- `ghcr.io/blakeblackshear/frigate:stable-rocm-gfx900`
- `ghcr.io/blakeblackshear/frigate:stable-rocm-gfx1030`
- `ghcr.io/blakeblackshear/frigate:stable-rocm-gfx1100`
### Docker settings for GPU access

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docs/docs/frigate/installation.md
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@ -150,6 +150,10 @@ The community supported docker image tags for the current stable version are:
- `stable-tensorrt-jp5` - Frigate build optimized for nvidia Jetson devices running Jetpack 5
- `stable-tensorrt-jp4` - Frigate build optimized for nvidia Jetson devices running Jetpack 4.6
- `stable-rk` - Frigate build for SBCs with Rockchip SoC
- `stable-rocm` - Frigate build for [AMD GPUs and iGPUs](../configuration/object_detectors.md#amdrocm-gpu-detector), all drivers
- `stable-rocm-gfx900` - AMD gfx900 driver only
- `stable-rocm-gfx1030` - AMD gfx1030 driver only
- `stable-rocm-gfx1100` - AMD gfx1100 driver only
## Home Assistant Addon