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Docs updates (#14590)

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* Update motion docs to make note of recordings

* Make note of genai on CPU
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Nicolas Mowen 2024-10-25 07:09:25 -06:00 committed by GitHub
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8
docs/docs/configuration/genai.md
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@ -29,7 +29,13 @@ cameras:
## Ollama
[Ollama](https://ollama.com/) allows you to self-host large language models and keep everything running locally. It provides a nice API over [llama.cpp](https://github.com/ggerganov/llama.cpp). It is highly recommended to host this server on a machine with an Nvidia graphics card, or on a Apple silicon Mac for best performance. CPU inference is not recommended.
:::warning
Using Ollama on CPU is not recommended, high inference times make using generative AI impractical.
:::
[Ollama](https://ollama.com/) allows you to self-host large language models and keep everything running locally. It provides a nice API over [llama.cpp](https://github.com/ggerganov/llama.cpp). It is highly recommended to host this server on a machine with an Nvidia graphics card, or on a Apple silicon Mac for best performance.
Most of the 7b parameter 4-bit vision models will fit inside 8GB of VRAM. There is also a [docker container](https://hub.docker.com/r/ollama/ollama) available.

8
docs/docs/configuration/motion_detection.md
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@ -92,10 +92,16 @@ motion:
lightning_threshold: 0.8
```
:::tip
:::warning
Some cameras like doorbell cameras may have missed detections when someone walks directly in front of the camera and the lightning_threshold causes motion detection to be re-calibrated. In this case, it may be desirable to increase the `lightning_threshold` to ensure these objects are not missed.
:::
:::note
Lightning threshold does not stop motion based recordings from being saved.
:::
Large changes in motion like PTZ moves and camera switches between Color and IR mode should result in no motion detection. This is done via the `lightning_threshold` configuration. It is defined as the percentage of the image used to detect lightning or other substantial changes where motion detection needs to recalibrate. Increasing this value will make motion detection more likely to consider lightning or IR mode changes as valid motion. Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching a doorbell camera.