Nvidia wants to help you turn any old video shot on your phone into a blur-free, slow-motion masterpiece, and it’s using artificial intelligence to do it.
Researchers at the company have developed a new deep-learning system that can convert standard video into slow-mo by adding additional frames after the video has been shot. The result would turn a video shot at 30 frames per second (standard for a phone shooting a regular video) into something that appears as a 240 fps video.
To create the slow-mo AI, researchers used 11,000 videos of sport and everyday activities shot at 240 fps to train a neural network, which learned to predict the extra frames.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7:30pm ET! To join, head over to YouTube and check out the show’s live chat and our Discord!
Python for Microcontrollers – Adafruit Daily — Python on Microcontrollers Newsletter: A New Arduino MicroPython Package Manager, How-Tos and Much More! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey