Learn how to create a Region of Interest (ROI) in OpenCV using mouse events and clicks. Explore techniques for defining window parameters, setting up mouse event functions, and implementing a while loop to capture and process frames. Master the process of copying the ROI and troubleshoot common issues. Gain hands-on experience with practical examples and step-by-step guidance for running Python files effectively in this comprehensive video lesson on AI development for the Jetson Nano platform.
AI on the Jetson Nano - Creating ROI in OpenCV With Mouse Clicks
Overview
Syllabus
Intro
Lesson Intro
Lesson 21 Homework
New Python Program
Webcam
Move Window
Create Mouse Event
Define Window
Parameters
Function
Variables
GoFlag
Reset GoFlag
Lower Right Coordinate
While Loop
Frame
Thickness
Frames
Rows
Copy ROI
Troubleshooting
Running Python File
Running Python File Again
Magic Word
Taught by
Paul McWhorter
Related Courses
-
AI on the Jetson Nano - Understanding Region of Interest in OpenCV
-
AI on the Jetson Nano - Working With Region of Interest in OpenCV
-
AI on the Jetson Nano - Reading and Writing Video Files in OpenCV
-
AI on the Jetson Nano - Resizing Images in OpenCV
-
AI on the Jetson Nano - Running the Raspberry Pi Camera in OpenCV
-
AI on the Jetson Nano - Face and Eye Detection with Haar Cascades in OpenCV
