OpenCV

2020

[OpenCV] Face Recognition

Explains how to perform face detection with OpenCV's Haar cascade classifier and extract facial landmarks and orientation using dlib's 68-point shape predictor.

[OpenCV] Image Transformation

Explains OpenCV image transformation techniques including rotation, contour-based region extraction, Gaussian blurring, and Canny edge detection, with Python examples.

[OpenCV] The Basics

Covers basic OpenCV operations in Python: loading and saving images, converting to grayscale, inverting black and white, and binarizing images, with example code.