learnopencv

Why we included this project

LearnOpenCV is a large collection of runnable C++ and Python examples, each paired with a tutorial on the LearnOpenCV blog. It is not a library you install but a steadily growing set of projects that move from basic image and video I/O up through edge detection, HOG features, object tracking, and newer YOLO-based detection and segmentation. Students and developers who want to see a technique implemented end-to-end before adapting it to their own work will find the code easy to follow and reuse. The repository also keeps pace with current research topics, so it doubles as a practical way to stay current with newer models and deployment patterns. For teams evaluating OpenCV workflows, it is a handy reference for how common vision tasks are structured in both languages.