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fix code snippet showing how to use SparseMat

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generate indices within the size limit (modulo)
This commit is contained in:
Amro 2016-01-23 17:28:49 +02:00
parent 1cd3c6f364
commit c35b00a97e
1 changed files with 3 additions and 2 deletions
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modules/core/include/opencv2/core/mat.hpp
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@ -2359,15 +2359,16 @@ Elements can be accessed using the following methods:
SparseMat::find), for example: SparseMat::find), for example:
@code @code
const int dims = 5; const int dims = 5;
int size[] = {10, 10, 10, 10, 10}; int size[5] = {10, 10, 10, 10, 10};
SparseMat sparse_mat(dims, size, CV_32F); SparseMat sparse_mat(dims, size, CV_32F);
for(int i = 0; i < 1000; i++) for(int i = 0; i < 1000; i++)
{ {
int idx[dims]; int idx[dims];
for(int k = 0; k < dims; k++) for(int k = 0; k < dims; k++)
idx[k] = rand() idx[k] = rand() % size[k];
sparse_mat.ref<float>(idx) += 1.f; sparse_mat.ref<float>(idx) += 1.f;
} }
cout << "nnz = " << sparse_mat.nzcount() << endl;
@endcode @endcode
- Sparse matrix iterators. They are similar to MatIterator but different from NAryMatIterator. - Sparse matrix iterators. They are similar to MatIterator but different from NAryMatIterator.
That is, the iteration loop is familiar to STL users: That is, the iteration loop is familiar to STL users: