111–120 of 134 posts
This is the kind of content that young techies and artists gobble up, and it's not the kind of thing I would want in content shared with children or teenagers.
> So I wrote a little script to hash all my pictures: Would be nice to have the script, or at least the choice of perceptual hashing algorithm.
> Would be nice to have... the choice of perceptual hashing algorithm
Funny enough the script does some of this - there's a handful of algorithms the library supports and it computes/saves all of them. "Perceptual" seemed to work the best but if you want to experiment w/ the others they'll be there for you.
The first ones shown are quite neat and pleasant. The "accidental" ones pretty quickly gave me motion sickness as I scrolled through them. They also weren't nearly as interesting, though I couldn't look at them for very long.
I've been taking pictures to be more effective wigglegrams now that I know I can auto-GIF them. I'll do a followup post at some point. The big trick is that they look better when the subject stays in the center of the frame, with the camera "orbiting" it to create a sort of parallax effect.
If you're using an iPhone, couldn't you automate this by extracting "Live images" which are kind of "mini-videos" around the photo you took?
Found a guy on instagram who builds a custom stereoscopic camera with 4 identical pi cams spaced evenly (about 1 inch (2.54cm)) away from each other on a line. It creates wigglegrams https://k4mera.world/
Cool concept, but implementation is bad. The exposures vary so much between the separate shots it's giving a stroboscopic effect. Hopefully they fix it in later revisions.
It's probably a few milliseconds difference in timing between when the (short) exposure is taken, resulting in different brightness of lights powered by 60Hz AC.
Somehow the extra motion seems to reduce the illusion of depth, it just seems like a disjointed animation to me.
That was fun, and the script on github looks hand-written which is refreshing after having been reading AI-written code for months. I have 120k photos in iCloud that I'm sure have duplicates (I exported my library to Google Photos years ago and exported it back to iCloud). The iOS duplicate detection stopped flagging duplicates for me to merge a while back. I gotta do something like this script...
(Plus I didn't know if it would work. The first version was just some Python functions I had to call from the REPL, livecoding style)
To the people pointing out the lower quality of the author's wigglegrams: it's because they're accidental...
Interestingly, the pixelization/noise effect is applied clientside, so if you open an image in a new tab, you can see the original. Originals look much better, in my opinion.
The dithering happens server-side (er, laptop-side). Experimented with a JS filter but it just didn't hit the way I wanted it to. Plus I save a lot of bandwidth this way