So, it's like *very* easy to process and reconstruct actual images with only a few lines of code. As in plotting software redrawing the image, pixel by pixel.
Here's is a gif of me made with #ggplot2 and #gganimate. Sunday = fun day!
And look! With some clever coding you can pixelate your gifs!
OK I've played around with image processing most of the day, from reading and modifying pixel data to plotting and animating. It's fun! 8bit-Calle is happy.
#Python, #RStats and #ggplot2 are like tools for creating and solving puzzles. Try it, you might like it.
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Last night I was playing a little with Openpose data in #RStats. I realized it's not too hard to wrangle the Openpose output and plot signing directly using #ggplot2 and #gganimate, like so:
But I decided to make some tweaks so you can change the color of the signer+clothes, which makes seeing the hands a bit easier (contrast!)...
But also, why not give your signer a pretty turtleneck to wear?
You guys know that IKEA products are basically just #Swedish words and place names, right? Walking around an IKEA store is like walking through a dictionary.
This is a script simulating the idea in Swedish and other places/languages: github.com/borstell/fakea
So you can now input a video and it outputs it slower and/or repeated. Here's an example of a sign for 'deaf' in STS rendered with a repeated 30% speed playback!
(Oh, and passed to the make_gif() function as well!)
And the automatic face blurring works great! Even with multiple people in the image (or, like here, multiple repetitions of the same person in one composite image)!
In class today we had read @ortega_ger (2017) on iconicity and sign acquisition. Students were asking how iconicity could be positive and negative for learning. Sometimes showing is better than telling, so I had them play a round of telephone across 12 generations (=students)...
@ortega_ger First person was presented with 10 signs from a "new sign language": 5 iconic (e.g. PEN, AIRPLANE, TELEPHONE) and 5 arbitrary signs for colors. The iconic signs had been spiced with some marked phonological form detail (e.g. marked handshape), but a clear iconic mapping.
@ortega_ger After 12 generations, all 5 iconic signs were remembered, but with modified (less marked, often more iconic) form, whereas only 2/5 non-iconic signs were remembered at all, both of which had changed in form (one slightly, the other completely).