This repository provides in-depth coverage of computer vision techniques, including image processing, object detection, face recognition, and deep neural networks. It covers 31 chapters with real-world problems, intuitive explanations, formulas where needed, and copy-paste-ready Python code examples. The guide targets both university students and software developers looking to build computer vision applications.