This repository provides a PyTorch implementation of the seminal SiameseFC object tracker from the 2016 paper. The project trains a Siamese neural network to learn a similarity metric between image patches, enabling visual object tracking by correlating embeddings of template and search images. It includes training code, tracking inference, and a visualization application for the correlation-based tracking process.