套件: python3-vigra (1.11.1+dfsg-7ubuntu1)
python3-vigra 的相關超連結
Trisquel 的資源:
下載原始碼套件 libvigraimpex:
- [libvigraimpex_1.11.1+dfsg-7ubuntu1.dsc]
- [libvigraimpex_1.11.1+dfsg.orig.tar.xz]
- [libvigraimpex_1.11.1+dfsg-7ubuntu1.debian.tar.xz]
維護者:
Original Maintainers:
- Debian Science Maintainers (郵件存檔)
- Andreas Metzler
外部的資源:
- 主頁 [ukoethe.github.io]
相似套件:
Python3 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 Python3.
其他與 python3-vigra 有關的套件
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- dep: libboost-python1.71.0
- Boost.Python Library
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- dep: libboost-python1.71.0-py38
- 本虛擬套件由這些套件提供: libboost-python1.71.0
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- dep: libc6 (>= 2.29)
- GNU C Library: Shared libraries
同時作為一個虛擬套件由這些套件提供: libc6-udeb
-
- dep: libfftw3-single3 (>= 3.3.5)
- Library for computing Fast Fourier Transforms - Single precision
-
- dep: libgcc-s1 (>= 3.0) [amd64]
- GCC support library
- dep: libgcc-s1 (>= 3.5) [armhf]
-
- dep: libhdf5-103
- Hierarchical Data Format 5 (HDF5) - runtime files - serial version
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- dep: libstdc++6 (>= 9)
- GNU Standard C++ Library v3
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- dep: libvigraimpex11 (= 1.11.1+dfsg-7ubuntu1)
- C++ computer vision library
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.9)
- dep: python3 (>= 3.8~)
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- dep: python3-numpy (>= 1:1.16.0~rc1)
- Fast array facility to the Python 3 language
-
- dep: python3-numpy-abi9
- 本虛擬套件由這些套件提供: python3-numpy
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- sug: python-vigra-doc
- Documentation for Python3 bindings for the C++ computer vision library
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- sug: python3-h5py
- general-purpose Python interface to hdf5 (Python 3)