Computer Vision with OpenCV

web-development.

🎓 Course Modules:

📦 Module 1: Introduction to Computer Vision

What is Computer Vision?

Applications in real life (self-driving, AR, surveillance)

Role of OpenCV and why it matters

🖼️ Module 2: Image Basics & Operations

Reading, displaying, and saving images

Image resizing, cropping, and channels

Color spaces: RGB, HSV, Grayscale

🔧 Module 3: Image Processing Fundamentals

Thresholding and masking

Filtering and blurring

Edge detection (Sobel, Canny)

📐 Module 4: Geometric Transformations

Image rotation, translation, and scaling

Affine and perspective transformations

Warping and stitching basics

📊 Module 5: Drawing & Annotation Tools

Drawing lines, shapes, and text on images

Creating custom annotation tools

Overlaying graphics on video streams

🧠 Module 6: Contours and Shape Detection

Finding contours

Shape approximation and matching

Bounding boxes and convex hulls

🧍 Module 7: Object Detection Basics

Template matching

Background subtraction

Motion detection in video feeds

😊 Module 8: Facial & Feature Detection

Haar cascades and face detection

Eye, smile, and body part detection

Live webcam tracking

🎥 Module 9: Working with Video

Reading and writing video files

Real-time video capture and processing

Frame-by-frame analysis

🤖 Module 10: Integrating OpenCV with AI Models

Using pretrained deep learning models

Object detection with YOLO/SSD using OpenCV DNN

Face recognition with embeddings

✅ Module 11: Capstone Project

Choose from object tracking, facial attendance system, or motion alert system

Full pipeline development and submission

Evaluation and feedback

 

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