Source: dlib Maintainer: Debian Science Maintainers Uploaders: Séverin Lemaignan , Hugo Lefeuvre , Pierre Gruet Section: libs Priority: optional Build-Depends: bzip2, cmake, debhelper-compat (= 13), libblas-dev, libjpeg-dev, liblapack-dev, libpng-dev, libsqlite3-dev Standards-Version: 4.6.1 Vcs-Browser: https://salsa.debian.org/science-team/dlib Vcs-Git: https://salsa.debian.org/science-team/dlib.git Homepage: http://dlib.net/ Rules-Requires-Root: no Package: libdlib-dev Architecture: any Multi-Arch: same Section: libdevel Depends: libdlib19.1 (= ${binary:Version}), ${misc:Depends}, libopencv-core-dev, libpng-dev, libsqlite3-dev, libx11-dev, pybind11-dev Description: C++ toolkit for machine learning and computer vision - development Dlib is a general purpose cross-platform open source software library written in the C++ programming language. It now contains software components for dealing with networking, threads, graphical interfaces, complex data structures, linear algebra, statistical machine learning, image processing, data mining, XML and text parsing, numerical optimization, Bayesian networks, and numerous other tasks. . This package contains the development headers. Package: libdlib19.1 Architecture: any Multi-Arch: same Depends: libdlib-data, ${misc:Depends}, ${shlibs:Depends} Pre-Depends: ${misc:Pre-Depends} Description: C++ toolkit for machine learning and computer vision - library Dlib is a general purpose cross-platform open source software library written in the C++ programming language. It now contains software components for dealing with networking, threads, graphical interfaces, complex data structures, linear algebra, statistical machine learning, image processing, data mining, XML and text parsing, numerical optimization, Bayesian networks, and numerous other tasks. Package: libdlib-data Architecture: all Multi-Arch: foreign Depends: ${misc:Depends} Description: C++ toolkit for machine learning and computer vision - models Dlib is a general purpose cross-platform open source software library written in the C++ programming language. It now contains software components for dealing with networking, threads, graphical interfaces, complex data structures, linear algebra, statistical machine learning, image processing, data mining, XML and text parsing, numerical optimization, Bayesian networks, and numerous other tasks. . This package contains the trained models provided with dlib.