This document provides instructions for installing OpenCV with Python on Windows and macOS systems. It also summarizes 9 example programs that demonstrate various computer vision techniques using OpenCV, such as reading and displaying images, opening video files and webcams, edge detection, line detection, color-based object tracking, contour classification, corner feature matching, and face recognition. The examples and more information are available at a provided GitHub URL. Reference materials for learning OpenCV with Python are also listed.
Ex9: Face recognition/tracking
â˘Download the training model (haarcascade_frontalface_default.xml')
and put it in the same folder with the code cv_ex9.py.
â˘
References
⢠You canaccess the example from
https://github.com/ntudavid/CV_lab
⢠Reference : OpenCV â Python Tutorials
https://opencv-python-tutroals.readthedocs.org/en/latest/