Selfhosted

39435 readers

9 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.
No spam posting.
Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.
Don't duplicate the full text of your blog or github here. Just post the link for folks to click.
Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).
No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago

MODERATORS

[email protected]

142

BirdNET-Pi: A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET. (github.com)

submitted 1 year ago by [email protected] to c/[email protected]

13 comments fedilink hide all child comments

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.

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 2 points 1 year ago* (last edited 1 year ago) (1 children)

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.

[–] [email protected] 2 points 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.