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/*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::pyrDown(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
void cv::cuda::pyrUp(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
Ptr<ImagePyramid> cv::cuda::createImagePyramid(InputArray, int, Stream&) { throw_no_cuda(); return Ptr<ImagePyramid>(); }
#else // HAVE_CUDA
//////////////////////////////////////////////////////////////////////////////
// pyrDown
namespace cv { namespace cuda { namespace device
{
namespace imgproc
{
template <typename T> void pyrDown_gpu(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
}
}}}
void cv::cuda::pyrDown(InputArray _src, OutputArray _dst, Stream& stream)
{
using namespace cv::cuda::device::imgproc;
typedef void (*func_t)(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[6][4] =
{
{pyrDown_gpu<uchar> , 0 /*pyrDown_gpu<uchar2>*/ , pyrDown_gpu<uchar3> , pyrDown_gpu<uchar4> },
{0 /*pyrDown_gpu<schar>*/, 0 /*pyrDown_gpu<schar2>*/ , 0 /*pyrDown_gpu<schar3>*/, 0 /*pyrDown_gpu<schar4>*/},
{pyrDown_gpu<ushort> , 0 /*pyrDown_gpu<ushort2>*/, pyrDown_gpu<ushort3> , pyrDown_gpu<ushort4> },
{pyrDown_gpu<short> , 0 /*pyrDown_gpu<short2>*/ , pyrDown_gpu<short3> , pyrDown_gpu<short4> },
{0 /*pyrDown_gpu<int>*/ , 0 /*pyrDown_gpu<int2>*/ , 0 /*pyrDown_gpu<int3>*/ , 0 /*pyrDown_gpu<int4>*/ },
{pyrDown_gpu<float> , 0 /*pyrDown_gpu<float2>*/ , pyrDown_gpu<float3> , pyrDown_gpu<float4> }
};
GpuMat src = _src.getGpuMat();
CV_Assert( src.depth() <= CV_32F && src.channels() <= 4 );
const func_t func = funcs[src.depth()][src.channels() - 1];
CV_Assert( func != 0 );
_dst.create((src.rows + 1) / 2, (src.cols + 1) / 2, src.type());
GpuMat dst = _dst.getGpuMat();
func(src, dst, StreamAccessor::getStream(stream));
}
//////////////////////////////////////////////////////////////////////////////
// pyrUp
namespace cv { namespace cuda { namespace device
{
namespace imgproc
{
template <typename T> void pyrUp_gpu(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
}
}}}
void cv::cuda::pyrUp(InputArray _src, OutputArray _dst, Stream& stream)
{
using namespace cv::cuda::device::imgproc;
typedef void (*func_t)(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[6][4] =
{
{pyrUp_gpu<uchar> , 0 /*pyrUp_gpu<uchar2>*/ , pyrUp_gpu<uchar3> , pyrUp_gpu<uchar4> },
{0 /*pyrUp_gpu<schar>*/, 0 /*pyrUp_gpu<schar2>*/ , 0 /*pyrUp_gpu<schar3>*/, 0 /*pyrUp_gpu<schar4>*/},
{pyrUp_gpu<ushort> , 0 /*pyrUp_gpu<ushort2>*/, pyrUp_gpu<ushort3> , pyrUp_gpu<ushort4> },
{pyrUp_gpu<short> , 0 /*pyrUp_gpu<short2>*/ , pyrUp_gpu<short3> , pyrUp_gpu<short4> },
{0 /*pyrUp_gpu<int>*/ , 0 /*pyrUp_gpu<int2>*/ , 0 /*pyrUp_gpu<int3>*/ , 0 /*pyrUp_gpu<int4>*/ },
{pyrUp_gpu<float> , 0 /*pyrUp_gpu<float2>*/ , pyrUp_gpu<float3> , pyrUp_gpu<float4> }
};
GpuMat src = _src.getGpuMat();
CV_Assert( src.depth() <= CV_32F && src.channels() <= 4 );
const func_t func = funcs[src.depth()][src.channels() - 1];
CV_Assert( func != 0 );
_dst.create(src.rows * 2, src.cols * 2, src.type());
GpuMat dst = _dst.getGpuMat();
func(src, dst, StreamAccessor::getStream(stream));
}
//////////////////////////////////////////////////////////////////////////////
// ImagePyramid
#ifdef HAVE_OPENCV_CUDALEGACY
namespace
{
class ImagePyramidImpl : public ImagePyramid
{
public:
ImagePyramidImpl(InputArray img, int nLayers, Stream& stream);
void getLayer(OutputArray outImg, Size outRoi, Stream& stream = Stream::Null()) const;
private:
GpuMat layer0_;
std::vector<GpuMat> pyramid_;
int nLayers_;
};
ImagePyramidImpl::ImagePyramidImpl(InputArray _img, int numLayers, Stream& stream)
{
GpuMat img = _img.getGpuMat();
CV_Assert( img.depth() <= CV_32F && img.channels() <= 4 );
img.copyTo(layer0_, stream);
Size szLastLayer = img.size();
nLayers_ = 1;
if (numLayers <= 0)
numLayers = 255; // it will cut-off when any of the dimensions goes 1
pyramid_.resize(numLayers);
for (int i = 0; i < numLayers - 1; ++i)
{
Size szCurLayer(szLastLayer.width / 2, szLastLayer.height / 2);
if (szCurLayer.width == 0 || szCurLayer.height == 0)
break;
ensureSizeIsEnough(szCurLayer, img.type(), pyramid_[i]);
nLayers_++;
const GpuMat& prevLayer = i == 0 ? layer0_ : pyramid_[i - 1];
cv::cuda::device::pyramid::downsampleX2(prevLayer, pyramid_[i], img.depth(), img.channels(), StreamAccessor::getStream(stream));
szLastLayer = szCurLayer;
}
}
void ImagePyramidImpl::getLayer(OutputArray _outImg, Size outRoi, Stream& stream) const
{
CV_Assert( outRoi.width <= layer0_.cols && outRoi.height <= layer0_.rows && outRoi.width > 0 && outRoi.height > 0 );
ensureSizeIsEnough(outRoi, layer0_.type(), _outImg);
GpuMat outImg = _outImg.getGpuMat();
if (outRoi.width == layer0_.cols && outRoi.height == layer0_.rows)
{
layer0_.copyTo(outImg, stream);
return;
}
float lastScale = 1.0f;
float curScale;
GpuMat lastLayer = layer0_;
GpuMat curLayer;
for (int i = 0; i < nLayers_ - 1; ++i)
{
curScale = lastScale * 0.5f;
curLayer = pyramid_[i];
if (outRoi.width == curLayer.cols && outRoi.height == curLayer.rows)
{
curLayer.copyTo(outImg, stream);
}
if (outRoi.width >= curLayer.cols && outRoi.height >= curLayer.rows)
break;
lastScale = curScale;
lastLayer = curLayer;
}
cv::cuda::device::pyramid::interpolateFrom1(lastLayer, outImg, outImg.depth(), outImg.channels(), StreamAccessor::getStream(stream));
}
}
#endif
Ptr<ImagePyramid> cv::cuda::createImagePyramid(InputArray img, int nLayers, Stream& stream)
{
#ifndef HAVE_OPENCV_CUDALEGACY
(void) img;
(void) nLayers;
(void) stream;
throw_no_cuda();
return Ptr<ImagePyramid>();
#else
return Ptr<ImagePyramid>(new ImagePyramidImpl(img, nLayers, stream));
#endif
}
#endif // HAVE_CUDA