Introduction to OpenCV

A comprehensive OpenCV curriculum with 11 modules, 30+ tutorials, and real-world applications.

Curriculum Overview

Module	Topics	Tutorials
01 Core	Image basics, NumPy arrays, pixel operations	1
02 Image Processing	Filtering, morphology, edges, contours, histograms	4
03 I/O & GUI	Image/video I/O, windows, trackbars, drawing	3
04 Features2D	Corner detection, SIFT, ORB, feature matching	3
05 Object Detection	Haar cascades, template matching	2
06 Video Analysis	Optical flow, background subtraction	2
07 Machine Learning	KNN, SVM, K-Means, HOG+SVM	4
08 Deep Learning	DNN module, model loading, inference	3
09 Multi-Object Tracking	MOT, MCMOT, person Re-ID	5
10 3D Vision	Camera calibration, stereo, SfM	5
11 Image Stitching	Panoramas, homography, blending	4

Quick Start

# Install dependencies
pip install opencv-python opencv-contrib-python numpy

# Download sample images/videos
python curriculum/sample_data/download_samples.py

# Run any tutorial
python curriculum/01_core/01_basics.py
python curriculum/02_imgproc/01_filtering.py

Documentation

• Online Docs - GitHub Pages documentation
• Teaching Materials - PDF guides for each module
• Curriculum Details - Full module breakdown

Learning Path

Week 1: Foundations
├── Day 1: Core + I/O & GUI
├── Day 2: Image Processing (filtering, morphology)
└── Day 3: Image Processing (contours, histograms)

Week 2: Features & Detection
├── Day 1: Features2D (detectors, matchers)
├── Day 2: Object Detection (Haar, templates)
└── Day 3: Video Analysis (optical flow, background subtraction)

Week 3: ML & Deep Learning
├── Day 1: Machine Learning (KNN, SVM, K-Means)
├── Day 2: Deep Learning (DNN module)
└── Day 3: Multi-Object Tracking (MOT, Re-ID)

Week 4: 3D Vision & Panoramas
├── Day 1: Camera Calibration & Stereo
├── Day 2: 3D Reconstruction & SfM
└── Day 3: Image Stitching & Panoramas

Practical Applications

Real-world projects combining multiple techniques:

Application	Description
Document Scanner	Edge detection, perspective transform
Color Tracker	Real-time object tracking by color
Face Blur	Privacy protection with face detection
Motion Alarm	Security camera with background subtraction
QR/Barcode Reader	Decode QR codes and barcodes
Lane Detection	Road lane detection for ADAS
ArUco Detection	Augmented reality markers
Panorama Stitcher	Create wide panoramas

See curriculum/applications/ for full implementations.

Official OpenCV Documentation

• OpenCV Python Tutorials
• Image Processing
• Feature Detection
• Video Analysis
• Machine Learning
• Deep Learning

Requirements

• Python 3.8+
• OpenCV 4.x
• NumPy
• Webcam (for real-time demos)

pip install -r requirements.txt