Dlib is a cross platform software library written in the C++ programming language. It provides tools for developing portable applications that deal with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets and numerous other tasks.
This release brings a tool for solving large scale support vector regression problems to the library as well as a structural SVM tool for learning BIO or BILOU style sequence tagging models. It also adds python interfaces to a number of dlib's machine learning tools.
The latest release of the library can be downloaded from: