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
Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth (Vietnamese)Amazon Web Services via AWS Skill Builder Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth (German)
Amazon Web Services via AWS Skill Builder Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth (Korean)
Amazon Web Services via AWS Skill Builder Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth (French)
Amazon Web Services via AWS Skill Builder Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth (Indonesian)
Amazon Web Services via AWS Skill Builder