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Look inside
In this quick liveProject, you’ll develop a low-resource way to add a background to a green screen video using thresholding. You’ll read the frames of a green screen video, perform thresholding to separate the green screen background, apply the new background image, and write the revised frames to a new video.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book resources
When you start your liveProject, you get full access to the following books for 90 days.
prerequisites
This liveProject is for aspiring OpenCV developers with some knowledge of Python. To begin these liveProjects, you will need to be familiar with:TOOLS
- Basics of Python
- Basics of NumPy
- Creating NumPy arrays
- NumPy array datatypes
- Extracting values from NumPy array using binary logic
- Basics of OpenCV
- Reading and writing images using OpenCV
- Displaying images using OpenCV
you will learn
In this liveProject you’ll learn essential OpenCV skills for developing useful computer vision applications.- Reading and writing videos
- Binary thresholding
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
