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-9 | gcc-8 | gcc-7 | gcc-6 | gcc-5,
   8  g++-9 | g++-8 | g++-7 | g++-6 | g++-5,
   9  libtbb-dev (>=2019~U9-0),
  10  libusb-1.0-0-dev
  11 Standards-Version: 4.1.4
  12 Vcs-Git: git://git.tizen.org/platform/upstream/dldt
  13 Vcs-Browser: https://git.tizen.org/cgit/platform/upstream/dldt
  14
  15 Package: openvino
  16 Section: libs
  17 Priority: optional
  18 Architecture: any
  19 Multi-Arch: same
  20 Depends: ${shlibs:Depends}, ${misc:Depends}, libtbb
  21 Recommends: openvino-cpu-mkldnn [amd64]
  22 Description: OpenVINO™ Toolkit - Deep Learning Deployment Toolkit
  23  OpenVINO™ toolkit, short for Open Visual Inference and Neural network
  24  Optimization toolkit, provides developers with improved neural network
  25  performance on a variety of Intel® processors and helps them further
  26  unlock cost-effective, real-time vision applications.
  27  .
  28  The toolkit enables deep learning inference and easy heterogeneous
  29  execution across multiple Intel® platforms (CPU, Intel® Processor Graphics)
  30  —providing implementations across cloud architectures to edge devices.
  31  This open source distribution provides flexibility and availability to
  32  the developer community to innovate deep learning and AI solutions.
  33
  34 Package: openvino-dev
  35 Section: libs
  36 Priority: optional
  37 Architecture: any
  38 Multi-Arch: same
  39 Depends: ${shlibs:Depends}, ${misc:Depends}, openvino
  40 Description: OpenVINO™ Toolkit Development package
  41  This is development package for Intel® OpenVINO™ Toolkit.
  42
  43 Package: openvino-cpu-mkldnn
  44 Section: libs
  45 Priority: optional
  46 Architecture: amd64
  47 Multi-Arch: same
  48 Depends: ${shlibs:Depends}, ${misc:Depends}, openvino
  49 Description: CPU plugin for OpenVINO™ Toolkit
  50  This package contains the CPU plugin, which was developed in order to provide
  51  opportunity for high performance scoring of neural networks on CPU, using the
  52  Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN),
  53  of the OpenVINO™ toolkit