Merge branch 2.4
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@@ -2507,7 +2507,7 @@ static void generateRandomCenter(const vector<Vec2f>& box, float* center, RNG& r
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center[j] = ((float)rng*(1.f+margin*2.f)-margin)*(box[j][1] - box[j][0]) + box[j][0];
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}
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class KMeansPPDistanceComputer
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class KMeansPPDistanceComputer : public ParallelLoopBody
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{
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public:
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KMeansPPDistanceComputer( float *_tdist2,
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@@ -2523,10 +2523,10 @@ public:
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step(_step),
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stepci(_stepci) { }
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void operator()( const cv::BlockedRange& range ) const
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void operator()( const cv::Range& range ) const
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{
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const int begin = range.begin();
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const int end = range.end();
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const int begin = range.start;
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const int end = range.end;
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for ( int i = begin; i<end; i++ )
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{
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@@ -2582,7 +2582,7 @@ static void generateCentersPP(const Mat& _data, Mat& _out_centers,
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break;
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int ci = i;
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parallel_for(BlockedRange(0, N),
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parallel_for_(Range(0, N),
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KMeansPPDistanceComputer(tdist2, data, dist, dims, step, step*ci));
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for( i = 0; i < N; i++ )
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{
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@@ -2610,7 +2610,7 @@ static void generateCentersPP(const Mat& _data, Mat& _out_centers,
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}
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}
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class KMeansDistanceComputer
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class KMeansDistanceComputer : public ParallelLoopBody
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{
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public:
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KMeansDistanceComputer( double *_distances,
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@@ -2624,10 +2624,10 @@ public:
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{
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}
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void operator()( const BlockedRange& range ) const
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void operator()( const Range& range ) const
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{
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const int begin = range.begin();
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const int end = range.end();
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const int begin = range.start;
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const int end = range.end;
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const int K = centers.rows;
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const int dims = centers.cols;
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@@ -2884,7 +2884,7 @@ double cv::kmeans( InputArray _data, int K,
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// assign labels
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Mat dists(1, N, CV_64F);
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double* dist = dists.ptr<double>(0);
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parallel_for(BlockedRange(0, N),
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parallel_for_(Range(0, N),
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KMeansDistanceComputer(dist, labels, data, centers));
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compactness = 0;
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for( i = 0; i < N; i++ )
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