Video Data Processing with Python and OpenCV

Learn how to process video data using Python and OpenCV in this comprehensive tutorial. Explore the fundamentals of video data, including its structure and applications in machine learning. Set up your environment, convert video formats, and display video content. Dive into extracting video metadata and pulling individual frames. Master the art of adding annotations to video frames and save your processed videos. Follow along with step-by-step examples and gain practical skills for working with video data in Python. By the end of this tutorial, you'll have a solid foundation for implementing video processing techniques in your machine learning projects, such as object detection, pose estimation, and object tracking.

Video Data & Python
What is Video Data?
Getting Setup
Converting Videos
Displaying Video
Video Metadata
Pulling Images
Add Annotations
Saving processed video
Summary