Not the most conventional application for self-hosting, but thought it might make for a fun weekend project for someone.

BirdNET-Pi is built off the back of Cornell University’s BirdNET Sound ID neural network model (https://birdnet.cornell.edu/). It can be used to classify what birds are in your vicinity by listening to their calls.

  • 35qam@lemmy.world
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    1 year ago

    This is a very cool idea! What microphone would be well suited for this purpose?

  • hillbicks@feddit.de
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    1 year ago

    Thanks. This definitely goes onto the pile of things I’ll build at the new house.

  • Froyn@kbin.social
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    1 year ago

    Loving this sweet sweet, this is what this magazine is here for, new toy.

    Wife and I are into birding locally around the house. “Babe, it can listen all day and ID what it hears” might just be the tipping point to get her onboard with a couple cameras for the house.

  • Protegee9850@lemmy.world
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    1 year ago

    The Cornell app is magical. If i self host this is it mobile compatible? I’d love to be able to host and share this with the family if so.

    • moosemouse@lemmy.world
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      1 year ago

      Yes the website looks just fine from mobile, I have had one running for weeks and my phone is the primary way I access it.

  • 486@kbin.social
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    1 year ago

    BirdNet-Pi is awesome. Highly recommended for anyone who likes birds. The BirdNet app for phones is also nice.
    Btw, BirdNet-Pi also works fine on the non-plus Raspberry Pi 3.

    • zen@lemmy.amyjnobody.com
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      1 year ago

      The default install instructions explicitly prevent installation on a Pi3 or Pi3+. If you have armv7l cpu architecture, the script just exits. I banged at it for a bit, but the tensorflow lite runtime install tripped me up. Going to look into the docker project mentioned elsewhere in this thread instead.