From 1ec169b7c9604ff70f873b3393d60cc9cd521678 Mon Sep 17 00:00:00 2001 From: Kshitij Sisodia Date: Wed, 1 Jun 2022 09:06:21 +0100 Subject: MLECO-2968 Create a docker image with all requirements Added a Dockerfile to setup and install requirements for the ml-embedded-evaluation-kit repository. Also included minor change (MLCE-859) for NPU components' source file. Signed-off-by: Matthew Sloyan Change-Id: I621fb2991218a451a0e8c33e14032b9c9e36709e --- Readme.md | 1 + 1 file changed, 1 insertion(+) (limited to 'Readme.md') diff --git a/Readme.md b/Readme.md index 4d6e03c..fd3a67c 100644 --- a/Readme.md +++ b/Readme.md @@ -99,6 +99,7 @@ could be used in all tools/IDEs (for example, To run an ML application on the Cortex-M and Ethos-U NPU, please, follow these steps: 1. Set up your environment by installing [the required prerequisites](./docs/sections/building.md#Build-prerequisites). +> **NOTE**: A Docker image built from the `Dockerfile` provided will have all the required packages installed. 2. Generate an optimized neural network model for Ethos-U with a Vela compiler by following instructions [here](./docs/sections/building.md#Add-custom-model). 3. [Configure the build system](./docs/sections/building.md#Build-process). 4. [Compile the project](./docs/sections/building.md#Building-the-configured-project) with a `make` command. -- cgit v1.2.1