LIBPMK is a C++ implementation of Grauman and Darrell's pyramid match algorithm. This toolkit provides a flexible framework with which developers can quickly match sets of image features and run experiments. LIBPMK provides functionality for $k$-means and hierarchical clustering, dealing with data sets too large to fit in memory, building multi-resolution histograms, quickly performing pyramid matches, and training and testing support vector machines (SVMs). This report provides a tutorial on how to use the LIBPMK code, and gives the specifications of the LIBPMK API.
