Analyzing Video with OpenCV and NumPy
Offered By: Coursera Project Network via Coursera
Course Description
Overview
In this one hour long project-based course, you will learn the basics of reading, analyzing and writing video using Python, NumPy and OpenCV. We will be working with a short documentary film which is in the public domain, so we are free to download and manipulate it. We will read in the video data frame-by-frame, examine the contents and modify them from Python.
By the end of this project, you will have analyzed a video at the pixel level, modified its contents and created a new video file
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Syllabus
- Project Overview
- In this one hour long project-based course, you will learn the basics of reading, analyzing and writing video using Python, NumPy and OpenCV. We will be working with a short documentary film which is in the public domain, so we are free to download and manipulate it. We will read in the video data frame-by-frame, examine the contents and modify them from Python. By the end of this project, you will have analyzed a video at the pixel level, modified its contents and created a new video file.
Taught by
Daniel Romaniuk
Related Courses
Computational Investing, Part IGeorgia Institute of Technology via Coursera Введение в машинное обучение
Higher School of Economics via Coursera Математика и Python для анализа данных
Moscow Institute of Physics and Technology via Coursera Introduction to Python for Data Science
Microsoft via edX Using Python for Research
Harvard University via edX