dlib C++ Library

Dlib is a C++ toolkit containing machine learning algorithms and tools that facilitate creating complex software in C++ to solve real world problems. This release has been focused on minor bug fixing and usability improvements. The latest release of ... [More] the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] and text parsing, numerical optimization, Bayesian nets and numerous other tasks. 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. Additionally, this release also adds simpler interfaces for learning to solve assignment and multi-target tracking problems. The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] and text parsing, numerical optimization, Bayesian nets and numerous other tasks. This release adds 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. The release also adds multi-threaded training options for the multiclass classifiers as well as numerous other usability improvements. The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] and text parsing, numerical optimization, Bayesian nets and numerous other tasks. 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. The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] and text parsing, numerical optimization, Bayesian nets and numerous other tasks. This release has been focused on improving the speed and usability of dlib's structural support vector machine solver. This includes two new tutorial style example programs showing how to use the solver from either C++ or Python. The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] 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 a python interface to a number of dlib's machine learning tools. The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] and text parsing, numerical optimization, Bayesian nets and numerous other tasks. This release has primarily focused on improving the flexibility and ease of use of the object detection tools. The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] and text parsing, numerical optimization, Bayesian nets and numerous other tasks. In addition to some bug fixes, this release also brings the following notable improvements to the library: The SURF feature extraction tool has higher matching accuracy than in previous dlib releases. The cutting plane optimizer is now faster A new tool for computing the singular value decomposition of very large matrices A new tool for performing canonical correlation analysis on large datasets A new tool for easily writing parallel for loops The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] and text parsing, numerical optimization, Bayesian nets and numerous other tasks. This release includes a large number of new minor features and usability improvements. It also includes a new machine learning tool for learning to rank objects. This is the dlib::svm_rank_trainer, an implementation of the well known SVM-Rank algorithm. Moreover, the implementation runs in O(n*log(n)) time and is therefore suitable for use with large training datasets. The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]

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 ... [More] and text parsing, numerical optimization, Bayesian nets and numerous other tasks. This release brings a number of new features to the library. The highlights include a probabilistic CKY parser, tools for creating applications using the Bulk Synchronous Parallel computing model, and two new clustering algorithms: Chinese Whispers and Newman's modularity clustering. The latest release of the library can be downloaded from: https://sourceforge.net/project/platformdownload.php?group_id=130373 [Less]