A comprehensive collection of Computer Vision and Image Processing projects built using OpenCV and Python. This repository serves as a learning resource for beginners and an implementation reference for students, developers, and AI enthusiasts interested in computer vision.
OpenCV (Open Source Computer Vision Library) is one of the most widely used open-source libraries for computer vision, image processing, and machine learning applications. It provides a rich set of tools for analyzing images and videos, detecting objects, recognizing faces, tracking motion, and building real-time AI-powered vision systems.
This repository demonstrates practical implementations of OpenCV concepts through various projects and examples.
- Reading and displaying images
- Image resizing and cropping
- Color space conversions
- Image rotation and flipping
- Drawing shapes and text
- Blurring and smoothing
- Thresholding techniques
- Histogram analysis
- Edge detection
- Contour detection
- Shape recognition
- Feature extraction
- Image segmentation
- Template matching
- Face detection
- Eye detection
- Smile detection
- Human detection
- Vehicle detection
- Custom object detection
- Video capture and playback
- Webcam integration
- Real-time frame processing
- Motion detection
- Object tracking
- Background subtraction
- Optical Character Recognition (OCR)
- Deep Learning with OpenCV
- Pose Estimation
- Gesture Recognition
- Image Classification
- Real-Time AI Vision Systems
- Python 3.x
- OpenCV
- NumPy
- VS Code
- Google Colab
Aurthor: Muhammad Abubakar