arnemunthekaas
Joined 1 year ago
Karma
873
Submissions
19
Member since
Jul 14
Recent submissions
Comment · 1 month ago
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
Comment · 1 month ago
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.
Comment · 1 month ago
Added, see README. Thanks for the feedback!
Comment · 1 month ago
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.
Comment · 1 month ago
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!
Comment · 1 month ago
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-...
Comment · 1 month ago
Yeah, all art i attributed an linked in https://github.com/arnegiacomo/fugleramme/tree/main/assets/a.... Check the manifest for exact sources
Comment · 1 month ago
Duly noted, I'll reference this, as well as other similar projects in the readme. Thanks for the feedback
Comment · 1 month ago
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...
Comment · 1 month ago
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.
Comment · 1 month ago
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.
Comment · 1 month ago
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.
Comment · 1 month ago
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!
Comment · 1 month ago
(Shameless self-plug)
I’ve been working on a far nicer way of appreciating bird detections: https://github.com/arnegiacomo/fugleramme
<https://github.com/arnegiacomo>