Learn about Region of Interest (ROI) in OpenCV for AI applications on the Jetson Nano. Explore practical examples and techniques for working with live video windows, including setting up OpenCV and the PICam, understanding image representation, changing ROI to CV, copying ROI, and addressing data mismatches. Gain hands-on experience through provided homework assignments to reinforce your understanding of this crucial computer vision concept.
AI on the Jetson Nano - Understanding Region of Interest in OpenCV
Overview
Syllabus
Intro
Setting up OpenCV
Setting up the PICam
What is a picture
Understanding ROI
Changing ROI to CV
Copying ROI
Data Mismatch
Homework
Taught by
Paul McWhorter
Related Courses
-
AI on the Jetson Nano - Working With Region of Interest in OpenCV
-
Self Driving Car with Jetson Nano : Lane Tracking , OpenCV
-
AI on the Jetson Nano - Resizing Images in OpenCV
-
AI on the Jetson Nano - Creating ROI in OpenCV With Mouse Clicks
-
AI on the Jetson Nano - Face and Eye Detection with Haar Cascades in OpenCV
-
AI on the Jetson Nano - Recognizing and Locating Objects of Interest in OpenCV
