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License: MIT No Attribution
Detect Personal Protective Equipment using Amazon Rekognition
License: MIT No Attribution
Hi,
How different is this architecture if i use Kinesis video stream for the input feed instead of API gateway ?
The downstream flow is same as your architecture. But i saw the same object detection using Kinesis video stream (uploading the frames to s3, and passing those frames to rekognition).
I'm very much interested to know how these twp architectures makes a difference. It would be very helpful if you share some insights.
Thanks
Hi Team,
Thanks for sharing sample application.
As per guidelines, I had deployed in AWS through Cloud Formation then got URL. I can able to run application with URL.
Now..
I would like to run this application locally before deploying in AWS through Cloud Formation and like to do some changes in source code.
Please help me.
Thanks and Regards
Ram
Hi Team,
Thanks for sharing...
Please help me in below 2 points.
As per guidelines I can able to run demo from local machine, I placed some breakpoints but while running demo break points are not hit - directly executed. how can I run this demo with breakpoints to execute step by step in IDE: PyCham.
Demo application is working with Web Camera, how can I test with IP Camera in this demo. where I need to made required changes.
Thanks
Ramachandra Reddy
After trying to deploy this solution and struggling a little bit to identify which tool was used, I found that AWS SAM was able to bundle the template to be uploaded.
The demo application states pre-built CloudFormation templates but if you want to build your own you need to dig and try which tools to use.
It would be nice to have the README updated with the tooling used to create the solution/steps.
boto3 appears to be unaware of 'detect_protective_equipment'
boto3 - do i have to update anything?
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