Gitea Mirror Bot
50 lines
1.7 KiB
C++
50 lines
1.7 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "precomp.hpp"
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using namespace cv;
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using namespace cv::cuda;
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#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
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void cv::cuda::connectedComponents(InputArray, OutputArray, int, int, ConnectedComponentsAlgorithmsTypes) { throw_no_cuda(); }
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void cv::cuda::connectedComponents(InputArray, OutputArray, int, int) { throw_no_cuda(); }
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#else /* !defined (HAVE_CUDA) */
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namespace cv { namespace cuda { namespace device { namespace imgproc {
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void BlockBasedKomuraEquivalence(const cv::cuda::GpuMat& img, cv::cuda::GpuMat& labels);
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}}}}
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void cv::cuda::connectedComponents(InputArray img_, OutputArray labels_, int connectivity,
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int ltype, ConnectedComponentsAlgorithmsTypes ccltype) {
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const cv::cuda::GpuMat img = img_.getGpuMat();
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cv::cuda::GpuMat& labels = labels_.getGpuMatRef();
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CV_Assert(img.channels() == 1);
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CV_Assert(connectivity == 8);
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CV_Assert(ltype == CV_32S);
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CV_Assert(ccltype == CCL_BKE || ccltype == CCL_DEFAULT);
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int iDepth = img_.depth();
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CV_Assert(iDepth == CV_8U || iDepth == CV_8S);
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labels.create(img.size(), CV_MAT_DEPTH(ltype));
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if ((ccltype == CCL_BKE || ccltype == CCL_DEFAULT) && connectivity == 8 && ltype == CV_32S) {
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using cv::cuda::device::imgproc::BlockBasedKomuraEquivalence;
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BlockBasedKomuraEquivalence(img, labels);
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}
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}
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void cv::cuda::connectedComponents(InputArray img_, OutputArray labels_, int connectivity, int ltype) {
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cv::cuda::connectedComponents(img_, labels_, connectivity, ltype, CCL_DEFAULT);
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}
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#endif /* !defined (HAVE_CUDA) */
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