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YouTube

Python Weeds Detection Using YOLOR - OpenCV | 2021

Augmented Startups via YouTube

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

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