Yes! I started doing this a few months ago and I’m glad I was able to familiarize myself with it before spring hit!

During installation, I’d recommend using the curl command provided by this fork: https://github.com/Nachtzuster/BirdNET-Pi That’s what worked best for me anyway.

The avocet was my spark bird! So elegant!

Ah, so maybe the “rigging” was just incompetence all along

You might enjoy the show “The Good Place”

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My heart can’t take this!

I’m a little late so this one includes the Thursday night game

I’m not sure. Everything looks normal to me.

Not Boston Dynamics, but a copy cat robotics company.

For real! The offense looks like they need a soft reset. It will be interesting to see what happens at WR.

I’ve been posting these weekly updates over at c/kansascitychiefs, but thought they might be appreciated here also.

Fastenating!

INFP = I Need Four People

Love this! Thanks for posting!

This uses the same detection model as the whoBIRD android app. I’ve used it in a side by side test with Merlin and they do not give consistent results. They’re in the same ball park, but really every detection (for both apps) should be verified with human ears. And I’m not sure that’s possible with a 24/7 setup.

IT’S STILL AWESOME AND FUN! I hope the talented people that made this continue to develop it. I’m glad this was posted, but like OP said, not super practical.

It did seem odd, we nearly stepped on them. But after looking into it more, it’s apparently pretty common: https://old.reddit.com/r/Ornithology/comments/npzykp/killdeer_eggs_i_was_walking_along_a_gravel_path/h09ps9t/

Yeah, I think you’re right 👍 Thanks!

I don’t follow much college football, so I’m really only familiar with the first few picks. Do we think any of the UDFA’s have a shot at the 53 man? Maybe an RB?

Unreal drive to end the game. Mahomes comes through again, using his legs and his arm!

Yeah, this doesn’t include community posts. I haven’t tried finding one tho