libvigraimpex 1.11.1+dfsg-11ubuntu1 source package in Ubuntu

Changelog

libvigraimpex (1.11.1+dfsg-11ubuntu1) lunar; urgency=low

  * Merge from Debian unstable. Remaining changes:
    - Build with --no-parallel to fix FTBFS.

libvigraimpex (1.11.1+dfsg-11) unstable; urgency=medium

  * 54_use_tuples_for_numpy_indexing.diff and 55_no_bool_import_numpy.diff:
    Fix build error with numpy 1.23. Closes: #1026487
  * 56_python311.diff Fix build error with python 3.11.
  * [lintian] b-d on libtiff-dev instead of libtiff5-dev.
  * Run wrap-and-sort -a -s -t.
  * Add Built-Using: ${sphinxdoc:Built-Using} to python-vigra-doc.

 -- Steve Langasek <email address hidden>  Tue, 24 Jan 2023 13:02:59 -0800

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Uploaded by:
Steve Langasek
Uploaded to:
Lunar
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
libvigraimpex_1.11.1+dfsg.orig.tar.xz 18.6 MiB 5ddbfb435da7bd12536c7181ce3c7825ab4bea91d0c1518a952cebba445da6c0
libvigraimpex_1.11.1+dfsg-11ubuntu1.debian.tar.xz 24.0 KiB 58de31fd2567fe80307050167f1c2397183f5d31318428ff93863160fd5caebf
libvigraimpex_1.11.1+dfsg-11ubuntu1.dsc 2.7 KiB 59f798ced618f3df754cdb2c6e46c49ba0eaa774b1dcf374787d3a1e95b84965

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Binary packages built by this source

libvigraimpex-dev: development files 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 contains the header and development files needed to
 build programs and packages using VIGRA.

libvigraimpex-doc: Documentation 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 contains documentation for the VIGRA library.

libvigraimpex11: 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.

libvigraimpex11-dbgsym: debug symbols for libvigraimpex11
python-vigra-doc: Documentation for 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 contains documentation for Python3 bindings for the VIGRA library.

python3-vigra: 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.

python3-vigra-dbgsym: debug symbols for python3-vigra