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[packages/vigra.git] / vigra-multi_convolution.patch
1 From 81958d302494e137f98a8b1d7869841532f90388 Mon Sep 17 00:00:00 2001
2 From: JaimeIvanCervantes <jimmycc80@hotmail.com>
3 Date: Fri, 16 Jun 2017 13:21:45 -0700
4 Subject: [PATCH] multi_convolution: Fix for incorrect template parameter type
5  when using unsigned int N for TinyVector SIZE. (Fixes #414)
6
7 ---
8  include/vigra/multi_convolution.hxx | 28 ++++++++++++++--------------
9  1 file changed, 14 insertions(+), 14 deletions(-)
10
11 diff --git a/include/vigra/multi_convolution.hxx b/include/vigra/multi_convolution.hxx
12 index 1b5efa740..ec89bcf58 100644
13 --- a/include/vigra/multi_convolution.hxx
14 +++ b/include/vigra/multi_convolution.hxx
15 @@ -1426,7 +1426,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
16                    class T2, class S2>
17          void
18          gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
19 -                                   MultiArrayView<N, TinyVector<T2, N>, S2> dest,
20 +                                   MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
21                                     double sigma,
22                                     ConvolutionOptions<N> opt = ConvolutionOptions<N>());
23  
24 @@ -1435,7 +1435,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
25                                    class T2, class S2>
26          void
27          gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
28 -                                   MultiArrayView<N, TinyVector<T2, N>, S2> dest,
29 +                                   MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
30                                     ConvolutionOptions<N> opt);
31  
32          // likewise, but execute algorithm in parallel
33 @@ -1443,7 +1443,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
34                                    class T2, class S2>
35          void
36          gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
37 -                                   MultiArrayView<N, TinyVector<T2, N>, S2> dest,
38 +                                   MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
39                                     BlockwiseConvolutionOptions<N> opt);
40      }
41      \endcode
42 @@ -1590,7 +1590,7 @@ template <unsigned int N, class T1, class S1,
43                            class T2, class S2>
44  inline void
45  gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
46 -                           MultiArrayView<N, TinyVector<T2, N>, S2> dest,
47 +                           MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
48                             ConvolutionOptions<N> opt )
49  {
50      if(opt.to_point != typename MultiArrayShape<N>::type())
51 @@ -1614,7 +1614,7 @@ template <unsigned int N, class T1, class S1,
52            class T2, class S2>
53  inline void
54  gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
55 -                           MultiArrayView<N, TinyVector<T2, N>, S2> dest,
56 +                           MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
57                             double sigma,
58                             ConvolutionOptions<N> opt = ConvolutionOptions<N>())
59  {
60 @@ -1653,7 +1653,7 @@ gaussianGradientMagnitudeImpl(MultiArrayView<N+1, T1, S1> const & src,
61      dest.init(0.0);
62  
63      typedef typename NumericTraits<T1>::RealPromote TmpType;
64 -    MultiArray<N, TinyVector<TmpType, N> > grad(dest.shape());
65 +    MultiArray<N, TinyVector<TmpType, int(N)> > grad(dest.shape());
66  
67      using namespace multi_math;
68  
69 @@ -1771,7 +1771,7 @@ gaussianGradientMagnitude(MultiArrayView<N+1, Multiband<T1>, S1> const & src,
70                                    class T2, class S2>
71          void
72          symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
73 -                                    MultiArrayView<N, TinyVector<T2, N>, S2> dest,
74 +                                    MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
75                                      ConvolutionOptions<N> opt = ConvolutionOptions<N>());
76  
77          // execute algorithm in parallel
78 @@ -1779,7 +1779,7 @@ gaussianGradientMagnitude(MultiArrayView<N+1, Multiband<T1>, S1> const & src,
79                                    class T2, class S2>
80          void
81          symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
82 -                                    MultiArrayView<N, TinyVector<T2, N>, S2> dest,
83 +                                    MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
84                                      BlockwiseConvolutionOptions<N> opt);
85      }
86      \endcode
87 @@ -1895,7 +1895,7 @@ template <unsigned int N, class T1, class S1,
88                            class T2, class S2>
89  inline void
90  symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
91 -                            MultiArrayView<N, TinyVector<T2, N>, S2> dest,
92 +                            MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
93                              ConvolutionOptions<N> opt = ConvolutionOptions<N>())
94  {
95      if(opt.to_point != typename MultiArrayShape<N>::type())
96 @@ -2214,14 +2214,14 @@ laplacianOfGaussianMultiArray(MultiArrayView<N, T1, S1> const & source,
97          template <unsigned int N, class T1, class S1,
98                                    class T2, class S2>
99          void
100 -        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
101 +        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
102                                       MultiArrayView<N, T2, S2> divergence,
103                                       ConvolutionOptions<N> const & opt);
104  
105          template <unsigned int N, class T1, class S1,
106                                    class T2, class S2>
107          void
108 -        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
109 +        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
110                                       MultiArrayView<N, T2, S2> divergence,
111                                       double sigma,
112                                       ConvolutionOptions<N> opt = ConvolutionOptions<N>());
113 @@ -2231,7 +2231,7 @@ laplacianOfGaussianMultiArray(MultiArrayView<N, T1, S1> const & source,
114          template <unsigned int N, class T1, class S1,
115                                    class T2, class S2>
116          void
117 -        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
118 +        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
119                                       MultiArrayView<N, T2, S2> divergence,
120                                       BlockwiseConvolutionOptions<N> const & opt);
121      }
122 @@ -2324,7 +2324,7 @@ gaussianDivergenceMultiArray(Iterator vectorField, Iterator vectorFieldEnd,
123  template <unsigned int N, class T1, class S1,
124                            class T2, class S2>
125  inline void
126 -gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
127 +gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
128                               MultiArrayView<N, T2, S2> divergence,
129                               ConvolutionOptions<N> const & opt)
130  {
131 @@ -2338,7 +2338,7 @@ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & ve
132  template <unsigned int N, class T1, class S1,
133                            class T2, class S2>
134  inline void
135 -gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
136 +gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
137                               MultiArrayView<N, T2, S2> divergence,
138                               double sigma,
139                               ConvolutionOptions<N> opt = ConvolutionOptions<N>())
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