renamed gpuimgproc -> cudaimgproc
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modules/cudaimgproc/src/mean_shift.cpp
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128
modules/cudaimgproc/src/mean_shift.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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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::meanShiftFiltering(InputArray, OutputArray, int, int, TermCriteria, Stream&) { throw_no_cuda(); }
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void cv::cuda::meanShiftProc(InputArray, OutputArray, OutputArray, int, int, TermCriteria, Stream&) { throw_no_cuda(); }
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#else /* !defined (HAVE_CUDA) */
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////////////////////////////////////////////////////////////////////////
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// meanShiftFiltering
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namespace cv { namespace cuda { namespace device
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{
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namespace imgproc
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{
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void meanShiftFiltering_gpu(const PtrStepSzb& src, PtrStepSzb dst, int sp, int sr, int maxIter, float eps, cudaStream_t stream);
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}
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}}}
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void cv::cuda::meanShiftFiltering(InputArray _src, OutputArray _dst, int sp, int sr, TermCriteria criteria, Stream& stream)
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{
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using namespace ::cv::cuda::device::imgproc;
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GpuMat src = _src.getGpuMat();
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CV_Assert( src.type() == CV_8UC4 );
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_dst.create(src.size(), CV_8UC4);
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GpuMat dst = _dst.getGpuMat();
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if (!(criteria.type & TermCriteria::MAX_ITER))
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criteria.maxCount = 5;
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int maxIter = std::min(std::max(criteria.maxCount, 1), 100);
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if (!(criteria.type & TermCriteria::EPS))
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criteria.epsilon = 1.f;
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float eps = (float) std::max(criteria.epsilon, 0.0);
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meanShiftFiltering_gpu(src, dst, sp, sr, maxIter, eps, StreamAccessor::getStream(stream));
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}
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////////////////////////////////////////////////////////////////////////
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// meanShiftProc_GPU
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namespace cv { namespace cuda { namespace device
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{
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namespace imgproc
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{
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void meanShiftProc_gpu(const PtrStepSzb& src, PtrStepSzb dstr, PtrStepSzb dstsp, int sp, int sr, int maxIter, float eps, cudaStream_t stream);
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}
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}}}
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void cv::cuda::meanShiftProc(InputArray _src, OutputArray _dstr, OutputArray _dstsp, int sp, int sr, TermCriteria criteria, Stream& stream)
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{
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using namespace ::cv::cuda::device::imgproc;
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GpuMat src = _src.getGpuMat();
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CV_Assert( src.type() == CV_8UC4 );
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_dstr.create(src.size(), CV_8UC4);
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_dstsp.create(src.size(), CV_16SC2);
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GpuMat dstr = _dstr.getGpuMat();
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GpuMat dstsp = _dstsp.getGpuMat();
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if (!(criteria.type & TermCriteria::MAX_ITER))
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criteria.maxCount = 5;
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int maxIter = std::min(std::max(criteria.maxCount, 1), 100);
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if (!(criteria.type & TermCriteria::EPS))
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criteria.epsilon = 1.f;
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float eps = (float) std::max(criteria.epsilon, 0.0);
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meanShiftProc_gpu(src, dstr, dstsp, sp, sr, maxIter, eps, StreamAccessor::getStream(stream));
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}
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#endif /* !defined (HAVE_CUDA) */
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