axis-aws-rekognition
aws-robomaker-sample-application-meirorunner
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| axis-aws-rekognition | aws-robomaker-sample-application-meirorunner | |
|---|---|---|
| 2 | 1 | |
| 1 | 4 | |
| - | - | |
| 1.8 | 3.0 | |
| over 2 years ago | about 2 years ago | |
| Go | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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axis-aws-rekognition
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Boosting the assembly process with AWS serverless & Axis camera
For us, this is a big step towards bringing AWS into our assembly process to enable other use cases with the same setup, at the same time, gain quick wins for us. To support the community and the speed of transformation at manufacturers, we will also release our POC (proof of concept) code at GitHub that brings the powerful OCR function from Rekognition and the result delivered over MQTT together with powerful cameras. With some simple code changes, you could quickly get the object Rekognition with thousands of supported objects/scenes and custom labels to train it for your own object detection with a few images.
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AWS open source news and updates No.41
axis-aws-rekognition Lezgin Bakircioglu got in touch this week to tell me about this project and how they are integrating AI services such as AWS Rekognition into the Axis range of cameras in order to do OCR. He has put together this blog post, Boosting the assembly process with AWS serverless & Axis camera to help you understand how this all fits together. This is still experimental, so get in touch with Lezgin if you think this is something you would like to contribute to.
aws-robomaker-sample-application-meirorunner
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AWS open source news and updates No.41
aws-robomaker-sample-application-meirorunner this is a cool open source sample application that you can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics. The folks have also written a supporting blog post, Escape from the maze by training a Reinforcement Learning model on AWS RoboMaker Takuji Kawata and Tatsuya Arai provide additional information to help you run this yourself.
What are some alternatives?
amazon-s3-presigned-urls-aws-sam - For more serverless learning resources, visit https://serverlessland.com/.
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
cfn-diagram - CLI tool to visualise CloudFormation/SAM/CDK stacks as visjs networks, draw.io or ascii-art diagrams.
booster - Software development framework specialized in building highly scalable microservices with CQRS and Event-Sourcing. It uses the semantics of the code to build a fully working GraphQL API that supports real-time subscriptions.
ha-mqtt-iot - A simple configurable MQTT client that allows actions to be taken or values be reported from a PC
Lambda-Extension-Secrets-Wrapper-Python - Repository with my AWS Lambda Wrapper for reading parameters from SSM
aws-sdk-js-v3 - Modularized AWS SDK for JavaScript.
aws-auto-cleanup - Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings
acaps - Axis System Integration ACAP
awslambdahandler - Linter for AWS Lambda handler
cdk-appsync-project - Projen managed AppSync Transformer project