Updating RPi docker build to armhf for tensorflow support

2 years ago · dd3f0dbae4
parent 893531c107
commit dd3f0dbae4
1 changed files with 1 additions and 1 deletions
--- a/4-manufacturing/lessons/3-run-fruit-detector-edge/README.md
+++ b/4-manufacturing/lessons/3-run-fruit-detector-edge/README.md
@ -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 .
    ```

-    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.