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opencv: Use cv::AutoBuffer<>::data()

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Alexander Alekhin
2018-06-10 22:42:00 +00:00
committed by Alexander Alekhin
parent 135ea264ef
commit b09a4a98d4
90 changed files with 333 additions and 339 deletions
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modules/core/src/kmeans.cpp
+3 -3
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@@ -330,7 +330,7 @@ double cv::kmeans( InputArray _data, int K,
else
{
for (int k = 0; k < K; k++)
generateRandomCenter(dims, box, centers.ptr<float>(k), rng);
generateRandomCenter(dims, box.data(), centers.ptr<float>(k), rng);
}
}
else
@@ -429,14 +429,14 @@ double cv::kmeans( InputArray _data, int K,
if (isLastIter)
{
// don't re-assign labels to avoid creation of empty clusters
parallel_for_(Range(0, N), KMeansDistanceComputer<true>(dists, labels, data, centers), (double)divUp((size_t)(dims * N), CV_KMEANS_PARALLEL_GRANULARITY));
parallel_for_(Range(0, N), KMeansDistanceComputer<true>(dists.data(), labels, data, centers), (double)divUp((size_t)(dims * N), CV_KMEANS_PARALLEL_GRANULARITY));
compactness = sum(Mat(Size(N, 1), CV_64F, &dists[0]))[0];
break;
}
else
{
// assign labels
parallel_for_(Range(0, N), KMeansDistanceComputer<false>(dists, labels, data, centers), (double)divUp((size_t)(dims * N * K), CV_KMEANS_PARALLEL_GRANULARITY));
parallel_for_(Range(0, N), KMeansDistanceComputer<false>(dists.data(), labels, data, centers), (double)divUp((size_t)(dims * N * K), CV_KMEANS_PARALLEL_GRANULARITY));
}
}