siamfc-tf

Why we included this project

SiamFC is the fully-convolutional Siamese tracker that the widely cited paper introduced, and this repo is a TensorFlow port of it. If you work on single-object visual tracking and want to study or reproduce a classic baseline without wrestling with the original MatConvNet code, this is a compact place to see how the siamese architecture and correlation matching fit together. It runs a pretrained network in forward mode over standard tracking sequences, with optional visualization, so it works well for benchmarking or for getting a feel for how these trackers behave. Just keep in mind it is research code, not a maintained library: the setup still assumes Python 2.7, and there is no training path, only forward tracking.