All releases of dlib C++ Library
Release Notes: This release has focused mostly on minor usability and feature improvements. Some highlights are better support for learning to do sequence labeleing from unbalanced data, new image processing routines, and new tools tools for performing Kalman filtering and recursive least squares filtering.
Release Notes: This release contains a number of new features, bugfixes, and usability improvements. Highlights include a structural support vector machine method for learning to solve assignment problems and new feature extractors for detecting objects in images.
Release Notes: This release contains a number of new features and bugfixes. Some highlights are a structural support vector machine method for learning to do sequence labeling, as well as a graph-based image segmentation tool.
Release Notes: This release contains a number of new features and bugfixes. Some highlights are a structural support vector machine method for learning to detect objects in images, and two new general purpose tools for solving the MAP problem in graphical models.
Release Notes: This release has been focused on minor bug fixing and usability improvements.
Release Notes: This release fixes a bug introduced in the previous release which could cause linker errors in some instances. It also includes usability improvements for the thread_pool and optimizations for the threaded and distributed structural svm solvers.
Release Notes: This release has been focused mainly on usability and documentation improvements.
Release Notes: This release enables dlib::pipe objects to be used for interprocess or network communication. It also adds the ability to distribute the work involved in optimizing a structural support vector machine across many networked computers and multi-core processors.
Release Notes: This release has been focused mainly on usability improvements.
Release Notes: In addition to some minor bug fixes, this release adds a multiclass support vector machine, as well as a tool for solving the optimization problem associated with structural support vector machines.
