Save for later
Analyzing Video with OpenCV and NumPy
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.
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 1 hour |
Starts | Jun 26 (40 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Daniel Romaniuk |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science Software Development |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
RN-12 hour shift $36k
Clinical Dietitian Short Hour Variable Shift $40k
Power Hour Instructor $41k
Long Term Care $46k
RN - 72 Hour $51k
U.S. Bank 24 Hour Banking Trainer $53k
Concierge Support Representative ($13 per hour) $54k
RN1 - 12 HOUR $65k
Long Realty Corporate $66k
Long Term Observer $76k
Associate Analyst, ERCOT 24 Hour Trader $97k
Analyst, ERCOT 24 Hour Trader $104k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 1 hour |
Starts | Jun 26 (40 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Daniel Romaniuk |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science Software Development |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course