Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Reading, Transforming, and Exporting Videos Using OpenCV and Python

Nicholas Renotte via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Reviews

Start your review of Reading, Transforming, and Exporting Videos Using OpenCV and Python

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.