
Conflicts: modules/core/include/opencv2/core/cuda.hpp modules/cudacodec/src/thread.cpp modules/cudacodec/src/thread.hpp modules/superres/perf/perf_superres.cpp modules/superres/src/btv_l1_cuda.cpp modules/superres/src/optical_flow.cpp modules/videostab/src/global_motion.cpp modules/videostab/src/inpainting.cpp samples/cpp/stitching_detailed.cpp samples/cpp/videostab.cpp samples/gpu/stereo_multi.cpp
190 lines
6.6 KiB
C++
190 lines
6.6 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) || !defined(HAVE_OPENCV_CUDAFILTERS)
|
|
|
|
Ptr<cuda::CornernessCriteria> cv::cuda::createHarrisCorner(int, int, int, double, int) { throw_no_cuda(); return Ptr<cuda::CornernessCriteria>(); }
|
|
Ptr<cuda::CornernessCriteria> cv::cuda::createMinEigenValCorner(int, int, int, int) { throw_no_cuda(); return Ptr<cuda::CornernessCriteria>(); }
|
|
|
|
#else /* !defined (HAVE_CUDA) */
|
|
|
|
namespace cv { namespace cuda { namespace device
|
|
{
|
|
namespace imgproc
|
|
{
|
|
void cornerHarris_gpu(int block_size, float k, PtrStepSzf Dx, PtrStepSzf Dy, PtrStepSzf dst, int border_type, cudaStream_t stream);
|
|
void cornerMinEigenVal_gpu(int block_size, PtrStepSzf Dx, PtrStepSzf Dy, PtrStepSzf dst, int border_type, cudaStream_t stream);
|
|
}
|
|
}}}
|
|
|
|
namespace
|
|
{
|
|
class CornerBase : public CornernessCriteria
|
|
{
|
|
protected:
|
|
CornerBase(int srcType, int blockSize, int ksize, int borderType);
|
|
|
|
void extractCovData(const GpuMat& src, Stream& stream);
|
|
|
|
int srcType_;
|
|
int blockSize_;
|
|
int ksize_;
|
|
int borderType_;
|
|
GpuMat Dx_, Dy_;
|
|
|
|
private:
|
|
Ptr<cuda::Filter> filterDx_, filterDy_;
|
|
};
|
|
|
|
CornerBase::CornerBase(int srcType, int blockSize, int ksize, int borderType) :
|
|
srcType_(srcType), blockSize_(blockSize), ksize_(ksize), borderType_(borderType)
|
|
{
|
|
CV_Assert( borderType_ == BORDER_REFLECT101 || borderType_ == BORDER_REPLICATE || borderType_ == BORDER_REFLECT );
|
|
|
|
const int sdepth = CV_MAT_DEPTH(srcType_);
|
|
const int cn = CV_MAT_CN(srcType_);
|
|
|
|
CV_Assert( cn == 1 );
|
|
|
|
double scale = static_cast<double>(1 << ((ksize_ > 0 ? ksize_ : 3) - 1)) * blockSize_;
|
|
|
|
if (ksize_ < 0)
|
|
scale *= 2.;
|
|
|
|
if (sdepth == CV_8U)
|
|
scale *= 255.;
|
|
|
|
scale = 1./scale;
|
|
|
|
if (ksize_ > 0)
|
|
{
|
|
filterDx_ = cuda::createSobelFilter(srcType, CV_32F, 1, 0, ksize_, scale, borderType_);
|
|
filterDy_ = cuda::createSobelFilter(srcType, CV_32F, 0, 1, ksize_, scale, borderType_);
|
|
}
|
|
else
|
|
{
|
|
filterDx_ = cuda::createScharrFilter(srcType, CV_32F, 1, 0, scale, borderType_);
|
|
filterDy_ = cuda::createScharrFilter(srcType, CV_32F, 0, 1, scale, borderType_);
|
|
}
|
|
}
|
|
|
|
void CornerBase::extractCovData(const GpuMat& src, Stream& stream)
|
|
{
|
|
CV_Assert( src.type() == srcType_ );
|
|
filterDx_->apply(src, Dx_, stream);
|
|
filterDy_->apply(src, Dy_, stream);
|
|
}
|
|
|
|
class Harris : public CornerBase
|
|
{
|
|
public:
|
|
Harris(int srcType, int blockSize, int ksize, double k, int borderType) :
|
|
CornerBase(srcType, blockSize, ksize, borderType), k_(static_cast<float>(k))
|
|
{
|
|
}
|
|
|
|
void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
|
|
|
|
private:
|
|
float k_;
|
|
};
|
|
|
|
void Harris::compute(InputArray _src, OutputArray _dst, Stream& stream)
|
|
{
|
|
using namespace cv::cuda::device::imgproc;
|
|
|
|
GpuMat src = _src.getGpuMat();
|
|
|
|
extractCovData(src, stream);
|
|
|
|
_dst.create(src.size(), CV_32FC1);
|
|
GpuMat dst = _dst.getGpuMat();
|
|
|
|
cornerHarris_gpu(blockSize_, k_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream));
|
|
}
|
|
|
|
class MinEigenVal : public CornerBase
|
|
{
|
|
public:
|
|
MinEigenVal(int srcType, int blockSize, int ksize, int borderType) :
|
|
CornerBase(srcType, blockSize, ksize, borderType)
|
|
{
|
|
}
|
|
|
|
void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
|
|
|
|
private:
|
|
float k_;
|
|
};
|
|
|
|
void MinEigenVal::compute(InputArray _src, OutputArray _dst, Stream& stream)
|
|
{
|
|
using namespace cv::cuda::device::imgproc;
|
|
|
|
GpuMat src = _src.getGpuMat();
|
|
|
|
extractCovData(src, stream);
|
|
|
|
_dst.create(src.size(), CV_32FC1);
|
|
GpuMat dst = _dst.getGpuMat();
|
|
|
|
cornerMinEigenVal_gpu(blockSize_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream));
|
|
}
|
|
}
|
|
|
|
Ptr<cuda::CornernessCriteria> cv::cuda::createHarrisCorner(int srcType, int blockSize, int ksize, double k, int borderType)
|
|
{
|
|
return makePtr<Harris>(srcType, blockSize, ksize, k, borderType);
|
|
}
|
|
|
|
Ptr<cuda::CornernessCriteria> cv::cuda::createMinEigenValCorner(int srcType, int blockSize, int ksize, int borderType)
|
|
{
|
|
return makePtr<MinEigenVal>(srcType, blockSize, ksize, borderType);
|
|
}
|
|
|
|
#endif /* !defined (HAVE_CUDA) */
|