dlib

Why we included this project

Dlib's best-known pieces are its face detection and 68-point facial landmark predictor, with face recognition close behind, and they run fast enough for embedded devices, robotics, and mobile without dragging in external dependencies. Behind those headline features sits a broader toolkit: classical machine learning such as SVMs and clustering, plus a compact deep learning module, all reached through one C++ API that also offers Python bindings. It is built for product work rather than research demos. There are no package requirements, the per-class documentation includes debugging checks on function preconditions, and the examples are numerous enough to copy from freely. Teams that need dependable vision features on modest hardware and want to avoid a heavyweight framework stack will find dlib a pragmatic base to build on.