Aper.io: 36 hours of Pizza Rat

Hackathon #2. UCLA. 1000 people. I wanted to go big or go home. My team Nihar Sheth, Markie Wagner, and Zane Durante,  felt the same.

After a series of disputes and disagreement, we eventually found the perfect idea: using ML to improve frame rate of videos, by predicting what frame should come between any two given frames. It was complex, it was visual, it was potentially boom, and it was definitely potentially bust: Continue reading “Aper.io: 36 hours of Pizza Rat”