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Remove jp4 build and add notes for jp6 (#16670)

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Nicolas Mowen
2025-02-18 11:20:35 -07:00
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parent c819961cc8
commit ab797c95af
5 changed files with 5 additions and 49 deletions
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6
docs/docs/configuration/hardware_acceleration.md
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@@ -295,10 +295,8 @@ These instructions were originally based on the [Jellyfin documentation](https:/
## NVIDIA Jetson (Orin AGX, Orin NX, Orin Nano\*, Xavier AGX, Xavier NX, TX2, TX1, Nano)
A separate set of docker images is available that is based on Jetpack/L4T. They come with an `ffmpeg` build
with codecs that use the Jetson's dedicated media engine. If your Jetson host is running Jetpack 4.6, use the
`stable-tensorrt-jp4` tagged image, or if your Jetson host is running Jetpack 5.0+, use the `stable-tensorrt-jp5`
tagged image. Note that the Orin Nano has no video encoder, so frigate will use software encoding on this platform,
but the image will still allow hardware decoding and tensorrt object detection.
with codecs that use the Jetson's dedicated media engine. If your Jetson host is running Jetpack 5.0+ use the `stable-tensorrt-jp5`
tagged image, or if your Jetson host is running Jetpack 6.0+ use the `stable-tensorrt-jp6` tagged image. Note that the Orin Nano has no video encoder, so frigate will use software encoding on this platform, but the image will still allow hardware decoding and tensorrt object detection.
You will need to use the image with the nvidia container runtime:

2
docs/docs/frigate/installation.md
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@@ -250,7 +250,7 @@ The official docker image tags for the current stable version are:
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-tensorrt-jp6` - Frigate build optimized for nvidia Jetson devices running Jetpack 6
- `stable-rk` - Frigate build for SBCs with Rockchip SoC
- `stable-rocm` - Frigate build for [AMD GPUs](../configuration/object_detectors.md#amdrocm-gpu-detector)
- `stable-h8l` - Frigate build for the Hailo-8L M.2 PICe Raspberry Pi 5 hat