debian/control

   1 Source: openvino
   2 Maintainer: Wook Song <wook16.song@samsung.com>
   3 Section: libs
   4 Priority: optional
   5 Build-Depends: debhelper (>= 9.0.0), quilt,
   6  cmake, pkg-config,
   7  gcc-10 | gcc-8 | gcc-7 | gcc-6 | gcc-5,
   8  g++-10 | g++-8 | g++-7 | g++-6 | g++-5,
   9  libusb-1.0-0-dev
  10 Standards-Version: 4.1.4
  11 Vcs-Git: git://git.tizen.org/platform/upstream/dldt
  12 Vcs-Browser: https://git.tizen.org/cgit/platform/upstream/dldt
  13
  14 Package: openvino
  15 Section: libs
  16 Priority: optional
  17 Architecture: any
  18 Multi-Arch: same
  19 Depends: ${shlibs:Depends}, ${misc:Depends}
  20 Recommends: openvino-cpu-mkldnn [amd64], ncs2-firmware
  21 Description: OpenVINO™ Toolkit - Deep Learning Deployment Toolkit
  22  OpenVINO™ toolkit, short for Open Visual Inference and Neural network
  23  Optimization toolkit, provides developers with improved neural network
  24  performance on a variety of Intel® processors and helps them further
  25  unlock cost-effective, real-time vision applications.
  26  .
  27  The toolkit enables deep learning inference and easy heterogeneous
  28  execution across multiple Intel® platforms (CPU, Intel® Processor Graphics)
  29  —providing implementations across cloud architectures to edge devices.
  30  This open source distribution provides flexibility and availability to
  31  the developer community to innovate deep learning and AI solutions.
  32
  33 Package: openvino-dev
  34 Section: libs
  35 Priority: optional
  36 Architecture: any
  37 Multi-Arch: same
  38 Depends: ${shlibs:Depends}, ${misc:Depends}, openvino
  39 Description: OpenVINO™ Toolkit Development package
  40  This is development package for Intel® OpenVINO™ Toolkit.
  41
  42 Package: openvino-cpu-mkldnn
  43 Section: libs
  44 Priority: optional
  45 Architecture: amd64
  46 Multi-Arch: same
  47 Depends: ${shlibs:Depends}, ${misc:Depends}, openvino
  48 Description: CPU plugin for OpenVINO™ Toolkit
  49  This package contains the CPU plugin, which was developed in order to provide
  50  opportunity for high performance scoring of neural networks on CPU, using the
  51  Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN),
  52  of the OpenVINO™ toolkit