// the find
murtazahassan/Learn-OpenCV-cpp-in-4-Hours
Companion code for a YouTube tutorial series on OpenCV with C++, covering the basics from image I/O through three small projects: a virtual painter, document scanner, and license plate detector. It's aimed at absolute beginners who learn better watching someone code than reading documentation.
The three projects are well-chosen for a beginner course — each one applies a distinct set of primitives (HSV masking, perspective warp, Haar cascades) in a way that produces a visible result. The flat file structure (Chapter1.cpp through Chapter8.cpp) makes it trivially easy to follow along with the video. Bundling the Haar cascade XML files in Resources means the face and plate detection projects actually run without hunting down assets separately.
The repo hasn't been touched since December 2020, and OpenCV 4.x has moved on enough that some of the build setup screenshots are already stale. There are no comments in the code — every .cpp file is just raw OpenCV calls, so if you're not watching the video simultaneously it's hard to understand why any particular step exists. The license plate detector uses a pre-trained Haar cascade that was trained on Russian plates specifically, which is buried in the filename but never mentioned in the README. And everything depends on a single 4-hour YouTube video with no fallback text explanation.