Welcome to Master OpenCV: From Basics to Object Detection in Python! In this tutorial series, you’ll learn how to use OpenCV, a powerful computer vision library, to process images and videos. Whether you're a beginner or an experienced developer, this course will help you master image processing, video handling, transformations, edge detection, and even object detection with YOLO!
🔥 Course Modules:
✅ Module 1: Working with Images – Loading, resizing, and grayscale conversion
✅ Module 2: Drawing Shapes – Adding text, lines, rectangles, circles, and arrows
✅ Module 3: Working with Videos – Reading and writing video files
✅ Module 4: Image Transformations – Cropping and rotating images
✅ Module 5: Blurring & Edge Detection – Gaussian blur, Canny edge detection
✅ Module 6: Object Detection – YOLO object detection in real-time
🔧 Requirements:
Python 3.13.2
OpenCV (pip install opencv-python)
YOLO (pip install ultralytics)
🚀 By the end of this course, you'll be able to build real-world computer vision applications using OpenCV!
Link to Course Recourses: https://github.com/Tech-Watt/OpenCV-C...
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