This repository contains all Computer Vision class practicals, including experiments, assignments, and practice implementations covered during coursework.
The goal of this repository is to:
- Maintain a centralized collection of all computer vision practical work
- Serve as a learning reference for concepts, algorithms, and implementations
- Help with revision, experimentation, and future projects
This repository will include (but is not limited to):
- Image processing basics
- OpenCV fundamentals
- Image transformations
- Feature detection and extraction
- Image segmentation techniques
- Object detection basics
- Classical computer vision algorithms
- Practical lab assignments and exercises
- Python
- OpenCV
- NumPy
- Matplotlib
- Jupyter Notebook / Python scripts