Using FFMPEG to Encode-Decode Video for Offline Video-Based Machine Learning

Using FFMPEG to Encode-Decode Video for Offline Video-Based Machine Learning

Learn how to use FFMPEG for video encoding and decoding in machine learning applications. This 21-minute tutorial demonstrates techniques for processing individual video frames, generating new videos, and converting between formats like MP4/MOV and JPEG images. Explore three Jupyter notebooks covering topics such as generating faces, prototyping seeds, latent vectors, morphing, randomness, and syncing audio. Discover how to modify images, build video files, and implement YOLO object detection. Gain practical insights into file setup, virtual machine configuration, and optimizing output quality for offline video-based machine learning projects.