Using Computer Vision to Play ‘DOOM’ on Spatially-Mapped Christmas Tree LEDs | #doomgame #OpenCV @DOOM
Wait for it:
Also ch00ftech has a great, expansive write-up on their blog with lots more thoughts and details:
In order to make fun animations on the LEDs, we need to know the exact location of each LED. With the MPC Renaissance, I started with a picture of the device and wrote a script that would record where I clicked on that picture. By clicking on the LEDs in the order they were addressed in software, I essentially mapped the LED software address to their physical locations.
We’re in 2017 now though and everything is supposed to be solved with computer vision (or neural nets).
There’s a great open source project called OpenCV (Open Computer Vision) which has a bunch of awesome tools for giving robots eyeballs and letting them do the boring work for you like read license plates.
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This reminds me of Kyle McDonald’s “Light Leaks”. A projector (or maybe a couple of projectors) is pointed at a pile of mirrorball’s in the center of a room. They then do a pixel for pixel mapping from projector to final reflected destination, allowing them to send very “noisy” 2d images that map to actual images after they reflect off the balls.
This reminds me of Kyle McDonald’s “Light Leaks”. A projector (or maybe a couple of projectors) is pointed at a pile of mirrorball’s in the center of a room. They then do a pixel for pixel mapping from projector to final reflected destination, allowing them to send very “noisy” 2d images that map to actual images after they reflect off the balls.
https://vimeo.com/66167082
Very cool! Thanks for sharing.