mirror of
https://github.com/opencv/opencv.git
synced 2024-12-14 00:39:13 +08:00
129 lines
4.7 KiB
C++
129 lines
4.7 KiB
C++
/*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) */
|