Source: openni
Priority: optional
Section: libs
Maintainer: Debian Multimedia Maintainers <pkg-multimedia-maintainers@lists.alioth.debian.org>
DM-Upload-Allowed: yes
Uploaders: Hans-Christoph Steiner <hans@eds.org>,
           Cosimo Alfarano <kalfa@debian.org>,
           Nobuhiro Iwamatsu <iwamatsu@debian.org>
Build-Depends: debhelper (>= 7.0.50~),
               freeglut3-dev,
               libusb-1.0-0-dev (>= 1.0.8),
               python (>= 2.6),
               doxygen,
               graphviz,
               libjpeg-dev,
               libtinyxml-dev,
               default-jdk
Standards-Version: 3.9.2
Homepage: http://www.openni.org
Vcs-Git: git://anonscm.debian.org/pkg-multimedia/openni.git
Vcs-Browser: http://anonscm.debian.org/git/pkg-multimedia/openni.git

Package: libopenni0
Section: libs
Architecture: any
Depends: ${shlibs:Depends},
         ${misc:Depends}
Recommends: libopenni-sensor-primesense0
Conflicts: openni-dev
Description: framework for sensor-based 'Natural Interaction'
 OpenNI is a framework for getting data to support 'Natural Interaction',
 i.e. skeleton tracking, gesture tracking, and similar ways of getting data
 from humans. OpenNI provides the interface for physical devices and for
 middleware components. The API enables modules to be registered in the OpenNI
 framework, which then produce sensory data. OpenNI also allows selection of
 different hardware and middleware modules.

Package: libopenni-java
Section: java
Architecture: any
Depends: ${shlibs:Depends},
         ${misc:Depends},
         libopenni0 (= ${binary:Version})
Description: framework for sensor-based 'Natural Interaction'
 OpenNI is a framework for getting data to support 'Natural Interaction',
 i.e. skeleton tracking, gesture tracking, and similar ways of getting data
 from humans. OpenNI provides the interface for physical devices and for
 middleware components. The API enables modules to be registered in the OpenNI
 framework, which then produce sensory data. OpenNI also allows selection of
 different hardware and middleware modules.
 .
 This package provides Java bindings for OpenNI.

Package: openni-utils
Section: utils
Architecture: any
Depends: ${shlibs:Depends},
         ${misc:Depends}
Description: debug and test utilities OpenNI framework
 OpenNI is a framework for getting data to support 'Natural Interaction',
 i.e. skeleton tracking, gesture tracking, and similar ways of getting data
 from humans. OpenNI provides the interface for physical devices and for
 middleware components. The API enables modules to be registered in the OpenNI
 framework, which then produce sensory data. OpenNI also allows selection of
 different hardware and middleware modules.
 .
 This package provides a number of related utilities for debugging, testing,
 and view the results of the sensor modules.

Package: libopenni-dev
Section: libdevel
Architecture: any
Depends: ${misc:Depends},
         libopenni0 (= ${binary:Version})
Suggests: openni-doc
Description: headers for OpenNI 'Natural Interaction' frameworks
 OpenNI is a framework for getting data to support 'Natural Interaction',
 i.e. skeleton tracking, gesture tracking, and similar ways of getting data
 from humans. OpenNI provides the interface for physical devices and for
 middleware components. The API enables modules to be registered in the OpenNI
 framework, which then produce sensory data. OpenNI also allows selection of
 different hardware and middleware modules.

Package: openni-doc
Section: doc
Architecture: all
Depends: ${misc:Depends}
Description: developer documentation for OpenNI frameworks
 OpenNI is a framework for getting data to support 'Natural Interaction',
 i.e. skeleton tracking, gesture tracking, and similar ways of getting data
 from humans. OpenNI provides the interface for physical devices and for
 middleware components. The API enables modules to be registered in the OpenNI
 framework, which then produce sensory data. OpenNI also allows selection of
 different hardware and middleware modules.
 .
 This package provides developer documentation for developing using the OpenNI
 frameworks.
