This repository provides a pretrained SuperPoint model, a fully convolutional deep neural network trained to detect interest points and compute their accompanying descriptors. The model enables image-to-image matching tasks and includes a demo script for sparse optical flow point tracking across video sequences. It uses OpenCV and PyTorch for deployment and was developed by researchers at Magic Leap for visual SLAM and related applications.