Overview
Learn how to build a Real-Time Weed Detection Model using YOLOR to detect weeds and extract their coordinates through coding in OpenCV Python. The course covers topics such as training, testing, printing coordinates, creating a definition, and fixing typos. The intended audience for this course includes individuals interested in computer vision, image processing, and real-world problem-solving using YOLOv7 and OpenCV. The teaching method involves practical hands-on coding exercises and demonstrations.
Syllabus
Intro
Altium
Training
Testing
Coordinates
Printing coordinates
Creating a definition
Fixing a typo
Taught by
Augmented Startups