arnemunthekaas

Author here: it's not AI-generated. All art is public domain and made by real people. This project doesn't run generative AI models.

See https://github.com/arnegiacomo/fugleramme/blob/main/assets/a... for all the sources

Author here: Fair, i could've been more explicit in my writing. Concretely:

Every bird is a cutout from a real scanned 1800s plate (Gould, the von Wright brothers, Dresser...). The manifest (https://github.com/arnegiacomo/fugleramme/blob/main/assets/a...) links to each source, so you can compare them to the original scans. No bird has been prompt/diffusion generated, although I did use diffusion-based tools to remove birds from the perches (https://github.com/arnegiacomo/fugleramme/tree/main/assets/a...).

Nothing at runtime uses AI either, at least in the sense of LLMs or diffusion. The collage is Pillow and numpy, and detection is BirdNET, which is a classifier, not a generative model.

However I have used LLMs for code-related work, and for writing scripts for programatically editing the images, like cutting, contrast and colour corrections.

Added, see README. Thanks for the feedback!

Less than you'd think, because you likely wouldn't need full "Texas coverage", you mostly need the birds that actually show up. BirdNET filters by location, you'll likely need a couple of dozen. Over the summer I've had about 40 visitors where I live.

Right now the coverage of North America is relatively sparse, but the interest has been high and I'm hoping for some contributions.

Edit: For North America the most obvious source is Audubon's Birds of America, which is public domain and should provide a lot of coverage. This collection includes some beautiful plates.

I'm actually currently working on implementing Iberian species, and added some yesterday. There's another user also contributing with some beautiful Spanish birds. Feel free to contribute if you have some cool visitors in your garden!

Thanks, I’ll do that, and ofc link to this beautiful poster I have that actually originally sparked the idea: https://www.axelthorenfeldt.com/news/wwf-verdens-naturfonds-...

Yeah, all art i attributed an linked in https://github.com/arnegiacomo/fugleramme/tree/main/assets/a.... Check the manifest for exact sources

Duly noted, I'll reference this, as well as other similar projects in the readme. Thanks for the feedback

Author here: It doesn't, well at least not art-wise. All sources are attributed in https://github.com/arnegiacomo/fugleramme/blob/main/assets/a... and https://github.com/arnegiacomo/fugleramme/blob/main/assets/a...

Author here: I'll take any feedback and critisism. I haven't based any of my work directly on his project, but will be referencing it as a similar one in the readme, as well as e.g. https://github.com/veteranbv/inky-bird-frame.

Hi, yeah I'm not basing any of my coding or feature-work on that project. My biggest source of inspiration is actually just a paper poster I have hanging on my wall https://www.axelthorenfeldt.com/news/wwf-verdens-naturfonds-.... I wanted to make a version of that, showing the actual birds in my garden.

Original author here. Fair point, this project was one of my inspirations, but I chose to take a different approach. This uses public domain natural history art and builds on top of BirdNET-Go which is a popular way of self-hosting bird-detections. (This is really a BirdNET-Go companion, as it cannot run without).

I've seen other similar projects pop up like https://github.com/veteranbv/inky-bird-frame and https://github.com/adamoberley/HABirdDashboard/tree/HABirdDa..., each with their own spin.

Author here. A mic listens to the sounds in my garden, BirdNET-Go (an open-source BirdNET classifier) detects birds by sound, and the e-ink frame draws a real 1800s natural-history illustration of each one as it hears them. Here’s a live web-demo from my garden in Bergen, Norway: https://fugleramme.arnegiacomo.dev

A few things that might be interesting:

- The screen only redraws when the set of birds changes, and dithers the collage down to six colours for the e-ink display.

- Bigger birds sit toward the centre, scaled by real body mass.

- 800+ cutouts across 400+ species, each cut from a real public domain plate. All art is historic and human-made. Coverage is currently best for the Nordics, Britain and Germany (but other parts of the world are in the works).

- Runs fully local on a Raspberry Pi or your homelab (yes, even the classifier runs great on a RPI)

The e-ink panel is optional and it can run web-only in a container against a BirdNET-Go you already have.

Happy to answer any questions!

(Shameless self-plug)

I’ve been working on a far nicer way of appreciating bird detections: https://github.com/arnegiacomo/fugleramme

I'm working on bringing birds, sounds and art to life through https://github.com/arnegiacomo/fugleramme.

An E-ink bird frame for Raspberry Pi - with real-time bird detection by audio, fully local AI, driven by BirdNET-Go rendered as real, hand-cut 1800s bird illustrations.

I've also done basically the same this year, I just use a Raspberry pi + a usb mic. https://github.com/arnegiacomo/fugleramme

Its very popular with friends and family, especially with older people that dont enjoy traditional tech.