libvigraimpex 1.7.1+dfsg1-2ubuntu1 source package in Ubuntu
Changelog
libvigraimpex (1.7.1+dfsg1-2ubuntu1) precise; urgency=low * Merge with Debian testing. Remaining Ubuntu changes: - Remove build dependency on libhdf5-serial-dev (universe). LP: #635891. - debian/patches/no-hdf5.diff: Comment out additional methods requiring HDF5. - debian/libvigraimpex3.symbols: Mark additional HDF5 related symbols as optional since these won't appear in the library. -- Barry Warsaw <email address hidden> Thu, 20 Oct 2011 09:30:45 -0400
Upload details
- Uploaded by:
- Barry Warsaw
- Uploaded to:
- Precise
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any
- Section:
- libs
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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libvigraimpex_1.7.1+dfsg1.orig.tar.gz | 21.5 MiB | 6f4a6d2e3b9c0fe0da83878c01ccd68fc75c7e0d426b5372e2c0819b24975f7b |
libvigraimpex_1.7.1+dfsg1-2ubuntu1.debian.tar.gz | 28.6 KiB | 6eae502e81869d6f6eadcee0875d240d1f18dddfda40c3dc183bb7a4f7b73f94 |
libvigraimpex_1.7.1+dfsg1-2ubuntu1.dsc | 2.2 KiB | 37536511e716c18dab1b047ba319a586e446a6511df6c976a5d94f42f62a819e |
Available diffs
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.
- libvigraimpex3: 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.
- python-vigra: 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-doc: Documentation for 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 contains documentation for Python bindings for the VIGRA library.