Perform machine learning inference

This page was generated from content adapted from the AWS Developer Guide

Use Lookout for Vision

• Note AWS IoT Greengrass doesn't currently support this feature on Windows core devices.

Customize your machine learning components

• Note This step creates the component in the AWS IoT Greengrass service in the AWS Cloud. You can use the Greengrass CLI to develop, test, and deploy your component locally before you upload it to the cloud. For more information, see Develop AWS IoT Greengrass components.

• NoteYou must store your artifacts in S3 buckets that are in the same AWS account and AWS Region as the components. To enable AWS IoT Greengrass to access these artifacts, the Greengrass device role must allow the s3:GetObject action. For more information about the device role, see Authorize core devices to interact with AWS services.

• NoteYou must store your artifacts in S3 buckets that are in the same AWS account and AWS Region as the components. To enable AWS IoT Greengrass to access these artifacts, the Greengrass device role must allow the s3:GetObject action. For more information about the device role, see Authorize core devices to interact with AWS services.

• Note This step creates the component in the AWS IoT Greengrass service in the AWS Cloud. You can use the Greengrass CLI to develop, test, and deploy your component locally before you upload it to the cloud. For more information, see Develop AWS IoT Greengrass components.

Troubleshooting

• Note For the DLR component v1.3.x, you set the MLRootPath parameter in the configuration of the inference component, and the default value is $HOME/greengrass_ml.