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Comment by SahAssar | Hacker News Reader

> Maybe I’m missing something but does this blog post conclude with a service to do inference off device?

You didn't answer this question. Your "sorta-answer" suggests "yes", but the title "How to easily Detect Objects with Deep Learning on Raspberry Pi" suggests that your answer should be "no".

The title wasn't "How to easily Detect Objects with Deep Learning on Raspberry Pi with cloud services".

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Hey the blog has a way to implement the entire algorithm yourself in python or implement using a docker image on your own machine or see The source code for the Docker image that uses tensorflow so you can play around with it. To answer your question, yes, the last part of the blog has a way to do the same thing with a cloud based API. Up to the user to pick their preferred method.

> Your "sorta-answer" suggests "yes", but the title "How to easily Detect Objects with Deep Learning on Raspberry Pi" suggests that your answer should be "no".

How am I suggesting "yes"? And how the title is suggesting answer as "no"? There are pros and cons of both methods. If you are doing inference on a remote place with no access to internet, off-device is out of question. We are just trying to give a complete landscape so that if someone has a use case and trying to come up with solution, it might be helpful. Depending on use case, can pick on-device or off-device.

Exactly. I’m certainly interested in “How to easily Detect Objects with Deep Learning on Raspberry Pi”. Because I’m interested in that, I am most definitely not interested in “How to easily Detect Objects with Deep Learning on Raspberry Pi with cloud services”.

Then I hope you found the first 90% of the blog interesting. If there was something we can imporve happy to hear about it.

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