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Updated vigra to 1.11.1. Changes from Version 1.11.0 to 1.11.1 Added 3D convex hull computation and features (David Stöckel). Added Random Forest version 3, inspired by LEMON's graph API, to simplify customization of RF variants (Philip Schill). Improved hierarchical clustering (Cpnstantin Pape). Minor improvements and bug fixes in the code and documentation.
2017-05-29 14:35:06 +02:00
$NetBSD: distinfo,v 1.14 2017/05/29 12:35:06 wiz Exp $
Import vigra-1.6.0. VIGRA is a computer vision library that puts its main emphasize 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. Alternatively, you can also use the data structures provided within VIGRA, which can be easily adapted to a wide range of applications. VIGRA's flexibility comes almost for free: Since the design uses compile-time polymorphism (templates), performance of the compiled program approaches that of a traditional, hand tuned, inflexible, solution.
2008-08-25 20:17:56 +02:00
Updated vigra to 1.11.1. Changes from Version 1.11.0 to 1.11.1 Added 3D convex hull computation and features (David Stöckel). Added Random Forest version 3, inspired by LEMON's graph API, to simplify customization of RF variants (Philip Schill). Improved hierarchical clustering (Cpnstantin Pape). Minor improvements and bug fixes in the code and documentation.
2017-05-29 14:35:06 +02:00
SHA1 (vigra-1.11.1-src.tar.gz) = b50e8f57116948c85a42770d9188453e6052c8e0
RMD160 (vigra-1.11.1-src.tar.gz) = 7dfb92a2c9a0e29a5075baa5d491c2f09640697e
SHA512 (vigra-1.11.1-src.tar.gz) = 9c1638d626d658fa4b13069e5850b628d91db02bb18b8a9f0a4642fee501ede8a6f4f267d79ca5cd5baf3991e704163345cd18ab7919ff2a93db6bd496096de3
Size (vigra-1.11.1-src.tar.gz) = 55119047 bytes
Changes 1.10.0: * VIGRA got a tutorial. * Significant simplification of the API: MultiArrayView arguments can now be passed to functions directly. The old syntax with Argument Object Factories (srcImageRange(), srcMultiArray() and relatives) remains valid, but is only required when the arguments are old-style BasicImages. * Made StridedArrayTag the default for vigra::MultiArrayView . * Added an efficient multi-dimensional vigra::GridGraph class which support both the LEMON and boost::graph APIs. * Generalized various algorithms to arbitrary dimensions (gaussianGradientMultiArray(), hessianOfGaussianMultiArray(), gaussianDivergenceMultiArray(), localMinima(), localMaxima(), labelMultiArray(), watershedsMultiArray()). * Added slicSuperpixels() for arbitrary dimensions. * Added automatic differentiation (see vigra::autodiff::DualVector). * Added nonlinearLeastSquares() using the Levenberg-Marquardt algorithm and automatic differentiation. More information about the changes can be found on the changelog page.
2014-05-18 13:31:09 +02:00
SHA1 (patch-include-vigra-mathutil.hxx) = 45a3e37c24d28a5a5ff9f70281f93c9e0e77348d
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