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