From dd3f0dbae4164402dfe4aae30b6988b10732c805 Mon Sep 17 00:00:00 2001 From: Jim Bennett Date: Mon, 15 Aug 2022 09:48:38 -0700 Subject: [PATCH] Updating RPi docker build to armhf for tensorflow support --- 4-manufacturing/lessons/3-run-fruit-detector-edge/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/4-manufacturing/lessons/3-run-fruit-detector-edge/README.md b/4-manufacturing/lessons/3-run-fruit-detector-edge/README.md index 31e6097..ddc268a 100644 --- 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 -t .azurecr.io/classifier:v1 . ``` - Replace `` 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 `` 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 ` part as it defaults to the current platform.