This folder contains modular implementations of essential Computer Vision algorithms using OpenCV, NumPy, and Matplotlib.

• flip_augmentation.py – Image flipping and rotation augmentation
• mosaic_augmentation.py – Dataset mosaic augmentation
• cnn_classification.py – Basic CNN image classification example
• harris_corner.py – Harris Corner Detection algorithm
• horn_schunck.py – Optical flow estimation (Horn-Schunck method)
• haralick_descriptors.py – Texture feature extraction using Haralick features
• mean_threshold.py – Adaptive image thresholding
• utils/common_imports.py – Shared imports and helper utilities

Install dependencies before running any script:

pip install opencv-python numpy matplotlib