face-alignment
The project provides an accurate method for detecting 2D and 3D facial landmarks through Python, utilizing FAN's deep learning techniques. It is compatible with several face detectors such as SFD, Dlib, and BlazeFace and can handle batch processing for directories. Operating efficiently on both CPU and GPU, it is optimized for devices with CUDA capabilities. Users can select different precision settings to improve performance. The installation is simple via pip or conda, with options for source builds and Docker support. User contributions and feedback are welcomed to enhance the project.
