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Support Coral USB Accelerator #21

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Nexulo opened this issue Jun 20, 2020 · 10 comments
Open

Support Coral USB Accelerator #21

Nexulo opened this issue Jun 20, 2020 · 10 comments

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@Nexulo
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Nexulo commented Jun 20, 2020

Is the USB stick not supported (Why not?)? Will the (optional?) support come in the future?

@robmarkcole
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I did that in https://github.com/robmarkcole/coral-pi-rest-server
It is not necessary for my use cases. Keeping this issue open as I am sure it will be asked again

@wjcloudy
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Was guided here by the coral-pi-rest-server (deprecated) - have you dropped coral support entirely?

@robmarkcole
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I might add it in a branch, this whole repo is for experimentation

@wibimaster
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Ahah, was redirect here from deprecated repository too, when looking for face recognition with Coral USB ;) Hope you can do it soon ! :D

@robmarkcole robmarkcole changed the title Coral USB Accelerator Support Coral USB Accelerator Sep 4, 2020
@robmarkcole
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I am thinking about processing video feeds again, so might consider this

@jazzmonger
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@robmarkcole, I see this new Deepstack deposit on .github just appeared 2 days ago

https://github.com/johnolafenwa/DeepStack

Any chance we will get a docker container that supports our Coral stick that can be called from home assistant without having to wedge the rest server you wrote onto Linux?

I did this port of your server and it works, but it's not optimal... Docker would be way better.

https://community.home-assistant.io/t/image-object-detection-w-google-coral-on-intel-nuc/208248

@robmarkcole
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@jazzmonger the issue is that Coral, which uses TensorFlow-lite, is incompatible with the Pytorch approach we have taken in the rest of Deepstack. Feel free to continue this discussion on the Deepstack issue johnolafenwa/DeepStack#36

@fgonza2
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fgonza2 commented May 10, 2021

Any chance this will work on Intel NCS2?

@robmarkcole
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@fgonza2 similar to my reply re deepstack, I believe NCS2 uses intel specific modes, not tflite

@robmarkcole
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I've unarchived the coral repo, so people can make PR to add functionality

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