Difference between revisions of "DeepLens - deep learning enabled video camera"
(→I just got my DeepLens!) |
(→I just got my DeepLens!) |
||
| Line 46: | Line 46: | ||
== I just got my DeepLens! == | == I just got my DeepLens! == | ||
* [http://blog.kloud.com.au/2018/02/27/aws-deeplens-part-1-getting-the-deeplens-online/ Part 1 - Getting Online | SAMZAKKOUR @ Kloud] | * [http://blog.kloud.com.au/2018/02/27/aws-deeplens-part-1-getting-the-deeplens-online/ Part 1 - Getting Online | SAMZAKKOUR @ Kloud] | ||
| − | * [http://www.deeplearning.team Deep Learning Team] | + | * [http://www.deeplearning.team Deep Learning Team | Jovon Weathers] |
* [http://www.lynda.com/Amazon-Web-Services-tutorials/Setting-up-your-AWS-DeepLens/706932/737910-4.html Lynda.com Setting up your AWS DeepLens] | * [http://www.lynda.com/Amazon-Web-Services-tutorials/Setting-up-your-AWS-DeepLens/706932/737910-4.html Lynda.com Setting up your AWS DeepLens] | ||
* [http://blog.soracom.io/aws-deeplens-meets-soracom-fc121858cd70 AWS DeepLens meets SORACOM; cellular enabled cloud-connectivity-as-a-service platform] | * [http://blog.soracom.io/aws-deeplens-meets-soracom-fc121858cd70 AWS DeepLens meets SORACOM; cellular enabled cloud-connectivity-as-a-service platform] | ||
Revision as of 18:33, 18 June 2018
Contents
Integrated Components/Technologies
- Lex - conversational interfaces using voice and text
- SageMaker - build, train, and deploy
- Polly - text to speech
- Rekognition - video analysis service
- Kinesis - collect, process, and analyze real-time, streaming data
- Lambda - run code without managing servers
- AWS IoT Services Overview
- Internet of Things (IoT) Core - process and route those messages to AWS endpoints
- AWS IoT Button
- Greengrass - connected devices can run AWS Lambda functions, keep device data in sync
- Intel® Compute Library for Deep Neural Networks (clDNN) & OpenVINO - deep learning primitives for computer vision
- Simple Queue Service (SQS) - message queuing
- Simple Notification Service (SNS) - pub/sub messaging and mobile notifications
- DynamoDB - NoSQL database
- Simple Storage Service (S3) - object storage
- Management Console - manage web services
- Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI
- SoftAP - software enabled access point
- Ubuntu - operating system
Frameworks
I just got my DeepLens!
- Part 1 - Getting Online | SAMZAKKOUR @ Kloud
- Deep Learning Team | Jovon Weathers
- Lynda.com Setting up your AWS DeepLens
- AWS DeepLens meets SORACOM; cellular enabled cloud-connectivity-as-a-service platform
THE VIDEO BELOW IS BEING UPDATED -- I AM WAITING, I HAVE 2 DeepLens THAT DO NOT SETUP CORRECTLY
Learn More
Projects
- aws-ml-vision-end2end - Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens) for common CV use-cases | GitHub
- Deploy Gluon models to AWS DeepLens using a simple Python API
Processor
With over 100 GFLOPS of compute power on the device, it can process deep learning predictions on HD video for real time.
