Computer Vision techniques, implemented in Python, using OpenCV library.
The code from Jupyter notebooks follows Udacity Computer Vision nanodegree logic.
More Computer Vision exercises can be found under Udacity CVND repo: https://github.com/udacity/CVND_Exercises
- Colorspaces and Classification based on brightness
- Edge detection and Convolutional filters
- Corner detection
- Feature vectors
Custom filtering with Gaussian blur
Canny Edge detection
Face detection with Haar cascade
Medical image filtering
