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Updating RPi docker build to armhf for tensorflow support

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Jim Bennett 2 years ago committed by GitHub
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4-manufacturing/lessons/3-run-fruit-detector-edge/README.md
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@ -267,7 +267,7 @@ What you downloaded from Custom Vision was a DockerFile containing instructions
docker build --platform <platform> -t <Container registry name>.azurecr.io/classifier:v1 . docker build --platform <platform> -t <Container registry name>.azurecr.io/classifier:v1 .
``` ```
Replace `<platform>` with the platform that this container will run on. If you are running IoT Edge on a Raspberry Pi, set this to `linux/arm64`, otherwise set this to `linux/amd64`. Replace `<platform>` with the platform that this container will run on. If you are running IoT Edge on a Raspberry Pi, set this to `linux/armhf`, otherwise set this to `linux/amd64`.
> 💁 If you are running this command from the device you are running IoT Edge from, such as running this from your Raspberry Pi, you can omit the `--platform <platform>` part as it defaults to the current platform. > 💁 If you are running this command from the device you are running IoT Edge from, such as running this from your Raspberry Pi, you can omit the `--platform <platform>` part as it defaults to the current platform.

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