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Pigo is a pure Go face detection, pupil/eyes localization and facial landmark points detection library based on the Pixel Intensity Comparison-based Object detection paper.

Rectangle face marker	Circle face marker

Motivation

The reason why Pigo has been developed is because almost all of the currently existing solutions for face detection in the Go ecosystem are purely bindings to some C/C++ libraries like OpenCV or dlib, but calling a C program through cgo introduces huge latencies and implies a significant trade-off in terms of performance. Also, in many cases installing OpenCV on various platforms is cumbersome.

The Pigo library does not require any additional modules or third party applications to be installed, although you might need to install Python and OpenCV if you wish to run the library in a real time desktop application. Head over to this subtopic for more details.

Key features

• Does not require OpenCV or any 3rd party modules to be installed
• High processing speed
• There is no need for image preprocessing prior to detection
• There is no need for the computation of integral images, image pyramid, HOG pyramid or any other similar data structure
• The face detection is based on pixel intensity comparison encoded in the binary file tree structure
• Fast detection of in-plane rotated faces
• The library can detect even faces with eyeglasses
• Pupils/eyes localization
• Facial landmark points detection
• Webassembly support