pigo

Why we included this project

Most Go face-detection libraries are thin wrappers over C/C++ code, which means cgo and all the setup pain that comes with it. Pigo takes a different route: it is a pure-Go implementation of the Pixel Intensity Comparison-based Object detection method, so it needs no OpenCV install and no preprocessing or integral-image pyramids to produce results quickly. Beyond drawing boxes around faces, it also finds pupils and eyes and returns facial landmark points, which opens up attention tracking, photo analysis, and small embedded or WebAssembly deployments. The lack of cgo is the real draw here: teams that want a compact, portable binary often trip over the usual OpenCV or dlib bindings, and Pigo avoids that entirely. It is a focused library rather than a full pipeline, so you will handle image loading and post-processing yourself.