AWS DeepLens
Developer Guide

Document History for AWS DeepLens

  • API version: 2017-08-31

The following table describes the additions and changes to the AWS DeepLens Developer Guide documentation.

Change Description Date

Support for models created with TensorFlow and Caffe

Adds TensorFlow and Caffe as supported modeling frameworks. For more information see Supported TensorFlow Models and Layers and Supported Caffe Models and Layers.

June 14, 2018

Simplified IAM roles creation

Enables creation of required IAM roles to run your AWS DeepLens app project with a single click of a button in the AWS DeepLens console. For more information, see Register Your Device.

June 14, 2018

Secure boot

Adds secure booting. The AWS DeepLens device securely boots to prevent the installation of unauthorized operating systems. For more information see Securely Boot Your Device.

June 14, 2018

Integration with Amazon Kinesis Video Streams

Uses the Kinesis Video Streams for AWS DeepLens Video library to send video feeds from an AWS DeepLens device to Kinesis Video Streams for a specified period. The feeds can be used as input for additional vision analysis or as training data for your computer vision deep-learning model. For more information, see AWS DeepLens Kinesis Video Integration Library Module.

June 14, 2018

Ability to view device output streams in a browser

Adds support for using a browser to view unprocessed device streams or processed project streams. For more information, see View Your AWS DeepLens Device Output in a Browser.

June 14, 2018

Named device setup URL

Makes the AWS DeepLens device setup app accessible through the URL of http://deeplens.config. For more information see Set up Your Device.

June 5, 2018

Troubleshooting Guide

Provides a list of commonly asked questions and answers about troubleshooting common AWS DeepLens issues. For more information see Troubleshooting Guide.

May 3, 2018

Gluon support

Adds support for Gluon models. For more information, see Supported MXNet Models Exposed by the Gluon API.

March 13, 2018

Importing from Amazon SageMaker

Simplifies the process for importing a model trained with Amazon SageMaker. For more information, see Importing Your Amazon SageMaker-Trained Model.

February 22, 2018

Model optimization

Adds support for optimizing your custom model so that it runs on the GPU instead of the CPU. For more information, see Optimize a Custom Model and Model Optimization (mo) Module.

January 31, 2018

AWS DeepLens Developer Guide

The first release of the programmer's guide to building edge-optimized computer vision applications using AWS DeepLens with inference models trained in common deep learning frameworks, including MXNet.

November 29, 2017