101–110 of 134 posts
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.
The unintentional ones deviate on both bases, creating a more chaotic result.
("Creating chaos" being an interesting notion itself....)
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.
Whew... the continuous motion started triggering migraine symptoms until I closed the window. But it does have a nice 3d effect. For me, the cycle speed seems excessive. I believe someone suggested tying wiggle effect to mouse movement?
Does anyone know what is the technique they use in some of the documentaries where they use really old photos, but they make them look like this wiggle gram? I know it's not AI because the photos can be decades old, but they still do some stuff which that makes them almost see like 3D.
Could these use some frame interpolation and smoothing to make them less jerky? Or would that make them just a video clip then? The first couple of examples were good but later examples were not so impressive. I think the later examples suffered from having too little of perspective change between frames and too much of subject movement -- which defeats the illusion of 3d from a "static" image. Ideal one would have a…
Would be nice to have the script, or at least the choice of perceptual hashing algorithm.
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...
> 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.
> 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.
And the hashing library used: https://pypi.org/project/ImageHash/
In the example images (which others have noted are stable horizontally) - This alignment gives some control over the parallax and has a very big effect on the quality of the 3D and the ultimate experience of the image.
If you put your mouse, for example, over the marlboro pack that is most directly facing the camera, you'll see it is perfectly stable relative to the screen (despite looking like it's wiggling). In the second image, this point is at the eye of the singer.
On the accidental images, which are also mostly not stable horizontally, this type of alignment can also have a very big impact. An extreme example of how this plays out can be seen in this image - which for example -- locks onto the face
https://strickgifs.tumblr.com/post/48624241536
(NB - like 12 years ago I used to do make a lot of wiggle images -- including spending some time making wigglegrams out of a set of 3D images of the 1906 San Francisco Earthquake & Fire -- https://thesanfranciscowiggle.com/)