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Fix spelling (#18827)

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Glenn Jocher 2025-01-22 19:13:06 +01:00 • committed by GitHub
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docs/en/guides/raspberry-pi.md
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@ -95,7 +95,7 @@ Here we will install Ultralytics package on the Raspberry Pi with optional depen
## Use NCNN on Raspberry Pi
Out of all the model export formats supported by Ultralytics, [NCNN](https://docs.ultralytics.com/integrations/ncnn/) delivers the best inference performance when working with Raspberry Pi devices because NCNN is highly optimized for mobile/ embedded platforms (such as ARM architecture). Therefor our recommendation is to use NCNN with Raspberry Pi.
Out of all the model export formats supported by Ultralytics, [NCNN](https://docs.ultralytics.com/integrations/ncnn/) delivers the best inference performance when working with Raspberry Pi devices because NCNN is highly optimized for mobile/ embedded platforms (such as ARM architecture).
## Convert Model to NCNN and Run Inference