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

This foundational course demonstrates offline video processing with FFMPEG: extracting frames and audio, modifying images, applying YOLO object detection, and rebuilding synchronized videos with Python notebooks.

Syllabus

Introduction
Generating Faces
Prototype Seeds
Latent vectors
Morph step
Randomness
Running FFMPEG
Results
Putting Images Together
Basic Example
Uploading Longer Videos
Execute Command
Run FFMPEG
Output
Input
Output Quality
Extracting Audio
Syncing Audio
Running Process
Demonstration
Ball Speed
File Setup
Modifying Images
Building the Video File
File Names
File Download
Demo
Modifications
Yolo
Collab
Fixing Hardcoded Video
Yolo Eve
Tensorflow
Virtual Machine
Yellow Waits
Set Up Yellow
Time Formatter
Process Image
Fast Forward
Build Video File
Final Output