opencv/modules/cudaarithm/src/cuda/lut.cu
2013-10-01 15:24:17 +04:00

208 lines
6.6 KiB
Plaintext

/*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 "opencv2/opencv_modules.hpp"
#ifndef HAVE_OPENCV_CUDEV
#error "opencv_cudev is required"
#else
#include "opencv2/cudaarithm.hpp"
#include "opencv2/cudev.hpp"
using namespace cv;
using namespace cv::cudev;
namespace
{
texture<uchar, cudaTextureType1D, cudaReadModeElementType> texLutTable;
class LookUpTableImpl : public LookUpTable
{
public:
LookUpTableImpl(InputArray lut);
~LookUpTableImpl();
void transform(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
private:
GpuMat d_lut;
cudaTextureObject_t texLutTableObj;
bool cc30;
};
LookUpTableImpl::LookUpTableImpl(InputArray _lut)
{
if (_lut.kind() == _InputArray::GPU_MAT)
{
d_lut = _lut.getGpuMat();
}
else
{
Mat h_lut = _lut.getMat();
d_lut.upload(Mat(1, 256, h_lut.type(), h_lut.data));
}
CV_Assert( d_lut.depth() == CV_8U );
CV_Assert( d_lut.rows == 1 && d_lut.cols == 256 );
cc30 = deviceSupports(FEATURE_SET_COMPUTE_30);
if (cc30)
{
// Use the texture object
cudaResourceDesc texRes;
std::memset(&texRes, 0, sizeof(texRes));
texRes.resType = cudaResourceTypeLinear;
texRes.res.linear.devPtr = d_lut.data;
texRes.res.linear.desc = cudaCreateChannelDesc<uchar>();
texRes.res.linear.sizeInBytes = 256 * d_lut.channels() * sizeof(uchar);
cudaTextureDesc texDescr;
std::memset(&texDescr, 0, sizeof(texDescr));
CV_CUDEV_SAFE_CALL( cudaCreateTextureObject(&texLutTableObj, &texRes, &texDescr, 0) );
}
else
{
// Use the texture reference
cudaChannelFormatDesc desc = cudaCreateChannelDesc<uchar>();
CV_CUDEV_SAFE_CALL( cudaBindTexture(0, &texLutTable, d_lut.data, &desc) );
}
}
LookUpTableImpl::~LookUpTableImpl()
{
if (cc30)
{
// Use the texture object
cudaDestroyTextureObject(texLutTableObj);
}
else
{
// Use the texture reference
cudaUnbindTexture(texLutTable);
}
}
struct LutTablePtrC1
{
typedef uchar value_type;
typedef uchar index_type;
cudaTextureObject_t texLutTableObj;
__device__ __forceinline__ uchar operator ()(uchar, uchar x) const
{
#if CV_CUDEV_ARCH < 300
// Use the texture reference
return tex1Dfetch(texLutTable, x);
#else
// Use the texture object
return tex1Dfetch<uchar>(texLutTableObj, x);
#endif
}
};
struct LutTablePtrC3
{
typedef uchar3 value_type;
typedef uchar3 index_type;
cudaTextureObject_t texLutTableObj;
__device__ __forceinline__ uchar3 operator ()(const uchar3&, const uchar3& x) const
{
#if CV_CUDEV_ARCH < 300
// Use the texture reference
return make_uchar3(tex1Dfetch(texLutTable, x.x * 3), tex1Dfetch(texLutTable, x.y * 3 + 1), tex1Dfetch(texLutTable, x.z * 3 + 2));
#else
// Use the texture object
return make_uchar3(tex1Dfetch<uchar>(texLutTableObj, x.x * 3), tex1Dfetch<uchar>(texLutTableObj, x.y * 3 + 1), tex1Dfetch<uchar>(texLutTableObj, x.z * 3 + 2));
#endif
}
};
void LookUpTableImpl::transform(InputArray _src, OutputArray _dst, Stream& stream)
{
GpuMat src = _src.getGpuMat();
const int cn = src.channels();
const int lut_cn = d_lut.channels();
CV_Assert( src.type() == CV_8UC1 || src.type() == CV_8UC3 );
CV_Assert( lut_cn == 1 || lut_cn == cn );
_dst.create(src.size(), src.type());
GpuMat dst = _dst.getGpuMat();
if (lut_cn == 1)
{
GpuMat_<uchar> src1(src.reshape(1));
GpuMat_<uchar> dst1(dst.reshape(1));
LutTablePtrC1 tbl;
tbl.texLutTableObj = texLutTableObj;
dst1.assign(lut_(src1, tbl), stream);
}
else if (lut_cn == 3)
{
GpuMat_<uchar3>& src3 = (GpuMat_<uchar3>&) src;
GpuMat_<uchar3>& dst3 = (GpuMat_<uchar3>&) dst;
LutTablePtrC3 tbl;
tbl.texLutTableObj = texLutTableObj;
dst3.assign(lut_(src3, tbl), stream);
}
}
}
Ptr<LookUpTable> cv::cuda::createLookUpTable(InputArray lut)
{
return makePtr<LookUpTableImpl>(lut);
}
#endif