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Detect Edges with OpenCV and Python - Computer Vision Tutorial

Offered By: Nicholas Renotte via YouTube

Tags

OpenCV Courses Python Courses Computer Vision Courses Image Processing Courses Gaussian Blur Courses

Course Description

Overview

Learn edge detection techniques using OpenCV and Python in this comprehensive computer vision tutorial. Discover how to apply Canny Edge Detection to images, fine-tune detection parameters for improved results, and export final detections. Follow along as the instructor guides you through importing dependencies, loading and resizing images, applying edge detection algorithms, reducing noise with Gaussian blur, preprocessing with grayscale, and exporting the final results. Gain practical skills in computer vision and image processing while working with real-world examples. Access provided documentation and code resources to enhance your learning experience.

Syllabus

- Start
- Intro
- Gameplan
- Tutorial Start
- Import Dependencies
- Load Image
- Viewing and Resizing Images
- Applying Canny Edge Detection
- Reducing Noise with a Gaussian Blur
- Preprocessing with Grayscale
- Exporting Results


Taught by

Nicholas Renotte

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