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Did you check out the steps in the discussion here? |
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Also, take a look at #250. I was able to get gotty working, but ran into other issues. I was able to get my hands on a Pi4 so I gave up for the moment. However, would love to see this working on a VM or via Docker. |
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I'm also interested in running this in an x86 Docker container. I have a Xeon-D server with a Google Coral TPU, which can accelerate Tensorflow Lite workloads. It's working splendidly for object detection in video (I have a DIY smart doorbell), so would be interested to see it working for recognising birdcalls. Of course, I only discovered Birdnet-Pi about an hour ago so I need to sort out a microphone first... |
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I'm also really interested in this. |
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I've not tried this myself, however, I suppose you could install Raspbian into a Virtualbox. Doesn't even have to be Virtualbox... You could download the official software and do it that way? Might be worth a try. Here's a link to Raspberry Pi OS downloads |
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So I really would prefer to run this on a VM. I only have a pi3b, and IMHO the hardware can barely keep up, but I have gobs and gobs of CPU at my disposal in x86 land.
So far, I've done the install, and gotten the basic stuff working, (on debian 11) but I'm stuck on 2 parts:
I can't get tflite working on the x86. I downloaded one that was in the history of the repo, but it was linked against the wrong glibc. I then tried to install the one off pip, but it's missing the flex stuff, and I can't figure out how to get that without building tflite-runtime from scratch.
gotty doesn't work. It looks like you ship a modified pre-compiled version that has a path argument, that the base one does not?
Anyone else given this a shot? Got anywhere? Maybe have bins of those?
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