Submitted 17 hours ago by chaospatterns@lemmy.world to selfhosted@lemmy.world
https://github.com/tphakala/birdnet-go/
Birdnet-go is a real-time sound analyzer that detects bird species. It can take in audio from microphones. I set mine up to stream audio from my security cameras that I already had installed. There’s even a Home Assistant App, if you’re using it.
I live in a more suburban/semi-urban environment, but was really surprised to so many different bird species.
If you need something on the go I quite enjoy whoBIRD (available from F-Droid). Wonder if these use the same model.
irmadlad@lemmy.world 3 hours ago I use both Song Sleuth and Smart Bird ID (iOS). Fairly decent. I wouldn’t bet any significant bet on it’s accuracy 100% of the time. I’m no birder, but it seems to work well enough for my purposes.
There is also this similar software, which is a little clunky but not slop github.com/Nachtzuster/BirdNET-Pi
A quick general awareness comment:
A post about a project not by the original creator is not a promo post. A user will not necessarily know the details to provide a disclosure unless a project explicitly has on in their repo.
Requiring it on a project post like this (“Here’s a cool thing I found!”) is not doable.
How does this compare to merlin? I dont currently have any reason to distrust the cornell university department of ornithology… but if they ever turn evil its good to know there’s a backup
It is the same back end, but this one runs continuously on a server instwad of on your phone.
Vandals_handle@lemmy.world 9 hours ago I’m afraid Merlin’s addition of videos of automatically running when birds are detected is the beginning of enshitification. Phone charge no longer lasts a full field day with this additional drain on battery. Bird of the day, x number of people listening, I don’t need of want any of this shit. Also dislike can no longer immediately cancel recording without saving, have to wait while application buffers or something before can exit without saving, for a long recording this can take more than 15 seconds. Pity, app is generally very helpful.
Yeah, Merlin has been my go-to forever.
A_norny_mousse@piefed.zip 13 hours ago Let this post be the one to ask a question that’s been bothering me (not a coder):
Multi-model local AI inference, runs 24/7 on a Raspberry Pi.
This and similar claims in other software suggest - to me - that the AI is running locally on the raspi, no need to exchange data with sites providing AI APIs or whatever.
I struggle to believe that this is possible, let alone on a raspi.
So, how “local” ar the AIs that help more and more software with various tasks?
Is “local AI” some sort of selling point that is often false or deliberately misleading? “Localwashing”?
Audio processing by ai can absolutely happen on a pi.
As an example, whisper.cpp is a high performance speech recognition model, and it does a great job. The biggest version of it as a model requires less than 5GB to live fully in memory, the large model at about 1.5billion parameters, and it works great even CPU only.
The one used most often is small, which has about 244million parameters, and needs about a gig of ram and nothing more.
For a pi 5, usually the base or tiny model are used. Small could be used in most scenarios, but tiny and base are able to run real-time.
So it depends for how local - sometimes its all self contained and can do just fine on a pi, sometimes its local in that it needs an LLM endpoint to hit, but that can be running on another system entirely.
It would really depend on the project for how/where/why for a definition of local.
Specialized models can be made incredibly efficient. The big tech guys are trying to replace humans which is why their crap takes such huge servers to run. Building local-first/only just means you need to specialize the model and the pipeline to match what you’re doing
Listen, everything that they are doing by scorching the planet and turning the tap water brown, could be achieved on CPU or much smaller GPUs on local machines - it’s a question of focused, tight training. What they’re doing instead is literally attempting to build gigantic models that take in absolutely everything (burning real books in the process because fuck history we got money to make) and attempting to sell the idea that this brute force, one-thing-does-it-all approach, which requires us to give up everything else that is good in the world, is the only way forward, and yes, we must build the roko basilisk now.
It’s a big, big grift.
irmadlad@lemmy.world 6 hours ago Listen, everything that they are doing by scorching the planet and turning the tap water brown, could be achieved on CPU or much smaller GPUs on local machines
Didn’t downvote you however, are you saying if I ran an AI model local, that scorching the planet and turning the tap water brown is ok with you, just because it’s local?. Because that’s exactly what we’re are doing when we access the internet. Throw AI out of the scope, and we’re still pumping massive amounts of carbon in to the air, still turning the water brown. There are 8.4 billion people on this planet. Approximately 6.3 billion of them are online. That’s just individual humans. That doesn’t include the hundreds of thousands of data centers that aren’t even connected with AI.
So, who will be the first to actually practice what you preach and shut down your servers and internet devices? C’mon…make the first step towards a cleaner planet.
robottoaster@mander.xyz@mander.xyz 11 hours ago It can run on device on your phone birdnet.cornell.edu
I haven’t verified it, but it local ML models on audio is pretty efficient and should run fine on a raspberry pi.
irmadlad@lemmy.world 6 hours ago If you’re speaking of audio analysis ML or AI models, they are quite efficient. As a mediocre musician, who is clinically deaf and cannot hear some frequencies with enough clarity to make a judgement either way, I lean on AI assisted audio mastering. I haven’t dabbled in AI generated music, but with the right DAW and a handful of plugins, some keyboards and instruments, you can do a lot right in the comfort of your home.
It’s a small model that runs on your machine using a TFLite model. AI/ML models come in many different sizes. Some more conducive for running locally than others. There’s more info on the detection pipeline here.
I didn’t write this, just found and self hosted it.
Rule 7
Jake_Farm@sopuli.xyz 16 hours ago Someone share this with the bird voyeurs.
Vandals_handle@lemmy.world 9 hours ago Stated Jake Farm
call_me_xale@lemmy.zip 16 hours ago
Ditch the AI slop logo, please.
terranoid@lemmy.cafe 15 hours ago
🔗 AI Logo
🔗 and probably everything else too
🔗 Including the readme
*Takes a look at the top three folders*
.agents/skills.claude/skills.cursor/rulesYep…
It’s an AI program specifically to use AI models to recognise birds. If you’re against AI you should probably learn to recognise them manually.
Oh you’ll smoke a turd in hell for your insolence. That would make sense. It’s easier to complain.
Yaky@slrpnk.net 10 hours ago
“AI” is a pretty bad blanket term. BirdNet / Merlin is a model trained specifically on bird calls (and some noises) built to recognize bird calls. App and logo use huge general-purpose models to create content of questionable quality.
And yes, a decent birder should never trust just Merlin ID.
Xale, the logo is pretty l, on topic and quite cute. Is it made with AI? No idea. Does it really matter?
Give open source projects a break will you?
If you don’t like the logo just say so.
call_me_xale@lemmy.zip 15 hours ago
That’s literally what I did.
I guess if you spend enough time chatting with sparkling autocomplete you forget how real conversations work.
_g_be@lemmy.world 15 hours ago
They did express their displeasure. Even said please
brb@sh.itjust.works 15 hours ago
It is AI. 2min doodle would be better than this