RingNet is a computer vision system that reconstructs 3D face meshes from single images using a deep neural network trained with triplet losses. The method leverages the FLAME parametric face model and operates without needing 3D ground truth for training. The repository includes inference code, evaluation tools for the NoW benchmark dataset, and a PyTorch implementation of the FLAME decoder.