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https://github.com/archlinuxarm/PKGBUILDs.git
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community/vigra to 1.11.1-8
This commit is contained in:
Kevin Mihelich
parent
aef39f5a4e
commit
3ca4d51b8f
2 changed files with 148 additions and 4 deletions
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@ -9,21 +9,26 @@
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pkgbase=vigra
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pkgname=('vigra' 'vigra-doc')
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pkgver=1.11.1
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pkgrel=6
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pkgrel=8
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pkgdesc="Computer vision library"
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arch=('x86_64')
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url="https://ukoethe.github.io/vigra/"
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license=('custom:MIT')
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makedepends=(# runtime deps
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'libpng' 'libtiff' 'openexr' 'gcc-libs' 'sh' 'hdf5' 'fftw'
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# additional makedeps
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# additional makedeps
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'cmake' 'boost' 'python-numpy')
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checkdepends=('python-nose')
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source=("https://github.com/ukoethe/vigra/releases/download/Version-${pkgver//./-}/vigra-${pkgver}-src.tar.gz")
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sha256sums=('a5564e1083f6af6a885431c1ee718bad77d11f117198b277557f8558fa461aaf')
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source=("https://github.com/ukoethe/vigra/releases/download/Version-${pkgver//./-}/vigra-${pkgver}-src.tar.gz"
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'fix-incorrect-template-parameter-type.patch')
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sha256sums=('a5564e1083f6af6a885431c1ee718bad77d11f117198b277557f8558fa461aaf'
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'f151f902483dfa2b1f3d431f54bb161300cf184158c9f416fa653d19ab363cc4')
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prepare() {
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mkdir -p build
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cd ${pkgbase}-${pkgver}
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# https://github.com/ukoethe/vigra/issues/414
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patch -Np1 -i ../fix-incorrect-template-parameter-type.patch
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}
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build() {
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139
community/vigra/fix-incorrect-template-parameter-type.patch
Normal file
139
community/vigra/fix-incorrect-template-parameter-type.patch
Normal file
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@ -0,0 +1,139 @@
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From 81958d302494e137f98a8b1d7869841532f90388 Mon Sep 17 00:00:00 2001
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From: JaimeIvanCervantes <jimmycc80@hotmail.com>
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Date: Fri, 16 Jun 2017 13:21:45 -0700
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Subject: [PATCH] multi_convolution: Fix for incorrect template parameter type
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when using unsigned int N for TinyVector SIZE. (Fixes #414)
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---
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include/vigra/multi_convolution.hxx | 28 ++++++++++++++--------------
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1 file changed, 14 insertions(+), 14 deletions(-)
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diff --git a/include/vigra/multi_convolution.hxx b/include/vigra/multi_convolution.hxx
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index 1b5efa740..ec89bcf58 100644
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--- a/include/vigra/multi_convolution.hxx
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+++ b/include/vigra/multi_convolution.hxx
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@@ -1426,7 +1426,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
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class T2, class S2>
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void
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gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
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- MultiArrayView<N, TinyVector<T2, N>, S2> dest,
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+ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
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double sigma,
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ConvolutionOptions<N> opt = ConvolutionOptions<N>());
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@@ -1435,7 +1435,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
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class T2, class S2>
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void
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gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
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- MultiArrayView<N, TinyVector<T2, N>, S2> dest,
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+ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
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ConvolutionOptions<N> opt);
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// likewise, but execute algorithm in parallel
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@@ -1443,7 +1443,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
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class T2, class S2>
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void
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gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
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- MultiArrayView<N, TinyVector<T2, N>, S2> dest,
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+ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
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BlockwiseConvolutionOptions<N> opt);
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}
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\endcode
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@@ -1590,7 +1590,7 @@ template <unsigned int N, class T1, class S1,
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class T2, class S2>
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inline void
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gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
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- MultiArrayView<N, TinyVector<T2, N>, S2> dest,
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+ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
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ConvolutionOptions<N> opt )
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{
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if(opt.to_point != typename MultiArrayShape<N>::type())
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@@ -1614,7 +1614,7 @@ template <unsigned int N, class T1, class S1,
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class T2, class S2>
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inline void
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gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
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- MultiArrayView<N, TinyVector<T2, N>, S2> dest,
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+ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
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double sigma,
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ConvolutionOptions<N> opt = ConvolutionOptions<N>())
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{
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@@ -1653,7 +1653,7 @@ gaussianGradientMagnitudeImpl(MultiArrayView<N+1, T1, S1> const & src,
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dest.init(0.0);
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typedef typename NumericTraits<T1>::RealPromote TmpType;
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- MultiArray<N, TinyVector<TmpType, N> > grad(dest.shape());
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+ MultiArray<N, TinyVector<TmpType, int(N)> > grad(dest.shape());
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using namespace multi_math;
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@@ -1771,7 +1771,7 @@ gaussianGradientMagnitude(MultiArrayView<N+1, Multiband<T1>, S1> const & src,
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class T2, class S2>
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void
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symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
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- MultiArrayView<N, TinyVector<T2, N>, S2> dest,
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+ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
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ConvolutionOptions<N> opt = ConvolutionOptions<N>());
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// execute algorithm in parallel
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@@ -1779,7 +1779,7 @@ gaussianGradientMagnitude(MultiArrayView<N+1, Multiband<T1>, S1> const & src,
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class T2, class S2>
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void
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symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
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- MultiArrayView<N, TinyVector<T2, N>, S2> dest,
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+ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
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BlockwiseConvolutionOptions<N> opt);
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}
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\endcode
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@@ -1895,7 +1895,7 @@ template <unsigned int N, class T1, class S1,
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class T2, class S2>
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inline void
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symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
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- MultiArrayView<N, TinyVector<T2, N>, S2> dest,
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+ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
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ConvolutionOptions<N> opt = ConvolutionOptions<N>())
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{
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if(opt.to_point != typename MultiArrayShape<N>::type())
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@@ -2214,14 +2214,14 @@ laplacianOfGaussianMultiArray(MultiArrayView<N, T1, S1> const & source,
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template <unsigned int N, class T1, class S1,
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class T2, class S2>
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void
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- gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
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+ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
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MultiArrayView<N, T2, S2> divergence,
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ConvolutionOptions<N> const & opt);
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template <unsigned int N, class T1, class S1,
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class T2, class S2>
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void
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- gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
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+ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
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MultiArrayView<N, T2, S2> divergence,
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double sigma,
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ConvolutionOptions<N> opt = ConvolutionOptions<N>());
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@@ -2231,7 +2231,7 @@ laplacianOfGaussianMultiArray(MultiArrayView<N, T1, S1> const & source,
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template <unsigned int N, class T1, class S1,
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class T2, class S2>
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void
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- gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
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+ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
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MultiArrayView<N, T2, S2> divergence,
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BlockwiseConvolutionOptions<N> const & opt);
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}
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@@ -2324,7 +2324,7 @@ gaussianDivergenceMultiArray(Iterator vectorField, Iterator vectorFieldEnd,
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template <unsigned int N, class T1, class S1,
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class T2, class S2>
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inline void
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-gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
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+gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
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MultiArrayView<N, T2, S2> divergence,
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ConvolutionOptions<N> const & opt)
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{
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@@ -2338,7 +2338,7 @@ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & ve
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template <unsigned int N, class T1, class S1,
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class T2, class S2>
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inline void
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-gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
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+gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
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MultiArrayView<N, T2, S2> divergence,
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double sigma,
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ConvolutionOptions<N> opt = ConvolutionOptions<N>())
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