Reading, Transforming, and Exporting Videos Using OpenCV and Python
Offered By: Nicholas Renotte via YouTube
Course Description
Overview
Learn the fundamentals of working with videos using OpenCV and Python in this comprehensive tutorial. Discover how to load and render videos using cv2.VideoCapture, transform and access video properties with cap.get and cv2.CAP_PROP, and export video transformations using cv2.VideoWriter. Follow along as the instructor guides you through importing dependencies, setting up video capture, accessing video properties, rendering videos, and exporting the results. Gain practical skills in OpenCV basics and enhance your ability to manipulate video content programmatically. Access provided code samples, documentation links, and additional resources to further your learning experience.
Syllabus
- Start
- Intro
- Explainer
- Whiteboard
- Import Dependencies
- Setting Up Video Capture
- Accessing Video Properties
- Rendering Videos
- Exporting Videos
Taught by
Nicholas Renotte
Related Courses
Artificial Intelligence for RoboticsStanford University via Udacity Intro to Computer Science
University of Virginia via Udacity Design of Computer Programs
Stanford University via Udacity Web Development
Udacity Programming Languages
University of Virginia via Udacity