DeepDreamVideo

Why we included this project

Turning a movie clip into a deep dream sequence takes more than just running an algorithm, and this repository walks through the whole pipeline. It's a collection of shell and Python scripts that split a video into frames, run Google's original deep dream code on each frame, and reassemble them into an animation. The author is upfront about the practical constraints, with CPU versus GPU benchmarks, notes on how frame resolution affects processing time, and the exact parameters used for the included Fear & Loathing in Las Vegas experiment. So it reads more like a reproducible recipe than a ready-made product; you'll be comfortable here if you want to understand how the pieces fit together rather than click a single button. It also captures a moment in the early deep dream wave, with links to the resulting YouTube video for reference.