Skip to content
Sections
>> Trisquel >> Paketler >> etiona >> python >> python-vigra
etiona  ]
[ Kaynak: libvigraimpex  ]

Paket: python-vigra (1.10.0+git20160211.167be93+dfsg-5ubuntu1)

Python bindings for the C++ computer vision library

Vision with Generic Algorithms (VIGRA) is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principle know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment.

This package exports the functionality of the VIGRA library to Python.

python-vigra ile İlgili Diğer Paketler

  • bağımlılıklar
  • tavsiye edilen
  • önerilen
  • dep: libboost-python1.65.1
    Boost.Python Library
  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
  • dep: libfftw3-single3 (>= 3.3.5)
    Library for computing Fast Fourier Transforms - Single precision
  • dep: libgcc1 (>= 1:3.0)
    GCC support library
  • dep: libhdf5-100
    Hierarchical Data Format 5 (HDF5) - runtime files - serial version
  • dep: libstdc++6 (>= 7)
    GNU Standard C++ Library v3
  • dep: libvigraimpex6 (>= 1.10.0+git20160211.167be93)
    C++ computer vision library
  • dep: python
    interactive high-level object-oriented language (default version)
    dep: python (<< 2.8)
    dep: python (>= 2.7~)
  • dep: python-numpy (>= 1:1.13.1)
    Numerical Python adds a fast array facility to the Python language
  • dep: python-numpy-abi9
    sanal paketi sağlayan python-numpy
  • sug: python-h5py
    general-purpose Python interface to hdf5 (Python 2)
  • sug: python-vigra-doc
    Documentation for Python bindings for the C++ computer vision library

python-vigra indir

Tüm mevcut mimariler için indir
Mimari Paket Boyutu Kurulu Boyut Dosyalar
i386 3.945,8 kB27682 kB [dosya listesi]