dlib is a C++ library for developing portable applications dealing with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks.
|Tags||Scientific/Engineering Artificial Intelligence Software Development Libraries Internet Web HTTP Servers|
|Operating Systems||Windows OS Independent Mac OS X POSIX|
Release Notes: A bug in the way file serialization was being handled on MS Windows platforms was fixed.
Release Notes: This release has been focused on minor bugfixes and usability improvements.
Release Notes: The major new feature in this release is a Python API for training histogram-of-oriented-gradient based object detectors and examples showing how to use this type of detector to perform real-time face detection. Simpler interfaces were provided for learning to solve assignment and multi-target tracking problems.
Release Notes: This release added a tool for training histogram-of-oriented-gradient based object detectors and examples showing how to use this type of detector to perform real-time face detection. It also added multi-threaded training options for the multiclass classifiers as well as numerous other usability improvements.
Release Notes: This release adds bound constrained non-linear optimizers using the BFGS and L-BFGS methods. It also includes a new tool for learning a max-margin Mahalanobis distance metric as well as routines for easily computing Felzenszwalb's 31 channel HOG image representation.