Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// 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.
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//
// 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.
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// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
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//M*/
#include "precomp.hpp"
using namespace cv;
using namespace cv::cuda;
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
Ptr<ImagePyramid> cv::cuda::createImagePyramid(InputArray, int, Stream&) { throw_no_cuda(); return Ptr<ImagePyramid>(); }
#else // HAVE_CUDA
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));
}
}
Ptr<ImagePyramid> cv::cuda::createImagePyramid(InputArray img, int nLayers, Stream& stream)
{
return Ptr<ImagePyramid>(new ImagePyramidImpl(img, nLayers, stream));
}
#endif