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Merge remote-tracking branch 'origin/2.4' into merge-2.4

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Conflicts:
	doc/tutorials/introduction/linux_install/linux_install.rst
	modules/core/doc/operations_on_arrays.rst
	modules/core/include/opencv2/core/core.hpp
	modules/core/src/system.cpp
	modules/gpu/src/cuda/resize.cu
	modules/imgproc/doc/miscellaneous_transformations.rst
	modules/imgproc/doc/structural_analysis_and_shape_descriptors.rst
	modules/video/src/bgfg_gaussmix2.cpp
This commit is contained in:
Roman Donchenko
2014-05-19 18:39:20 +04:00
parent c6113c6cb3 0b4eb6a964
commit 3d7a457c97
26 changed files with 248 additions and 96 deletions
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14
modules/core/src/matrix.cpp
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@@ -4050,16 +4050,18 @@ double cv::kmeans( InputArray _data, int K,
int flags, OutputArray _centers )
{
const int SPP_TRIALS = 3;
Mat data = _data.getMat();
bool isrow = data.rows == 1 && data.channels() > 1;
int N = !isrow ? data.rows : data.cols;
int dims = (!isrow ? data.cols : 1)*data.channels();
int type = data.depth();
Mat data0 = _data.getMat();
bool isrow = data0.rows == 1 && data0.channels() > 1;
int N = !isrow ? data0.rows : data0.cols;
int dims = (!isrow ? data0.cols : 1)*data0.channels();
int type = data0.depth();
attempts = std::max(attempts, 1);
CV_Assert( data.dims <= 2 && type == CV_32F && K > 0 );
CV_Assert( data0.dims <= 2 && type == CV_32F && K > 0 );
CV_Assert( N >= K );
Mat data(N, dims, CV_32F, data0.data, isrow ? dims * sizeof(float) : static_cast<size_t>(data0.step));
_bestLabels.create(N, 1, CV_32S, -1, true);
Mat _labels, best_labels = _bestLabels.getMat();