opencv

Why we included this project

OpenCV has been the default starting point for computer vision for years, and for good reason. It packs hundreds of optimized routines for object detection, face recognition, camera calibration, feature matching, and image filtering behind a single C++ API, with Python, Java, and JavaScript bindings so you can stay in your language of choice. The library is built for real-time use and runs on CPUs, GPUs, and embedded boards, which is why it shows up in robotics, autonomous vehicles, medical imaging, and industrial inspection. It also includes a machine learning module and a deep neural network module that can load models trained in other frameworks, so you can mix classical vision techniques with modern neural nets in one codebase. For most teams, OpenCV isn't a single feature you add; it's the layer that the rest of your vision stack sits on.