added debayer to gpu::cvtColor
This commit is contained in:
Vladislav Vinogradov
208
modules/gpu/src/cuda/debayer.cu
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208
modules/gpu/src/cuda/debayer.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// loss of use, data, or profits; or business interruption) however caused
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include <opencv2/gpu/device/common.hpp>
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#include <opencv2/gpu/device/vec_traits.hpp>
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namespace cv { namespace gpu {
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namespace device
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{
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template <class SrcPtr, typename T>
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__global__ void Bayer2BGR(const SrcPtr src, PtrStep_<T> dst, const int width, const int height, const bool glob_blue_last, const bool glob_start_with_green)
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{
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const int tx = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (y >= height)
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return;
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const bool blue_last = (y & 1) ? !glob_blue_last : glob_blue_last;
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const bool start_with_green = (y & 1) ? !glob_start_with_green : glob_start_with_green;
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int x = tx * 2;
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if (start_with_green)
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{
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--x;
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if (tx == 0)
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{
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const int t0 = (src(y, 1) + src(y + 2, 1) + 1) >> 1;
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const int t1 = (src(y + 1, 0) + src(y + 1, 2) + 1) >> 1;
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T res;
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res.x = blue_last ? t0 : t1;
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res.y = src(y + 1, 1);
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res.z = blue_last ? t1 : t0;
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dst(y + 1, 0) = dst(y + 1, 1) = res;
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if (y == 0)
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{
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dst(0, 0) = dst(0, 1) = res;
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}
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else if (y == height - 1)
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{
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dst(height + 1, 0) = dst(height + 1, 1) = res;
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}
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}
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}
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if (x >= 0 && x <= width - 2)
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{
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const int t0 = (src(y, x) + src(y, x + 2) + src(y + 2, x) + src(y + 2, x + 2) + 2) >> 2;
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const int t1 = (src(y, x + 1) + src(y + 1, x) + src(y + 1, x + 2) + src(y + 2, x + 1) + 2) >> 2;
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const int t2 = (src(y, x + 2) + src(y + 2, x + 2) + 1) >> 1;
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const int t3 = (src(y + 1, x + 1) + src(y + 1, x + 3) + 1) >> 1;
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T res1, res2;
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if (blue_last)
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{
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res1.x = t0;
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res1.y = t1;
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res1.z = src(y + 1, x + 1);
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res2.x = t2;
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res2.y = src(y + 1, x + 2);
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res2.z = t3;
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}
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else
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{
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res1.x = src(y + 1, x + 1);
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res1.y = t1;
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res1.z = t0;
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res2.x = t3;
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res2.y = src(y + 1, x + 2);
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res2.z = t2;
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}
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dst(y + 1, x + 1) = res1;
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dst(y + 1, x + 2) = res2;
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if (y == 0)
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{
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dst(0, x + 1) = res1;
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dst(0, x + 2) = res2;
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if (x == 0)
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{
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dst(0, 0) = res1;
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}
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else if (x == width - 2)
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{
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dst(0, width + 1) = res2;
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}
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}
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else if (y == height - 1)
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{
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dst(height + 1, x + 1) = res1;
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dst(height + 1, x + 2) = res2;
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if (x == 0)
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{
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dst(height + 1, 0) = res1;
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}
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else if (x == width - 2)
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{
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dst(height + 1, width + 1) = res2;
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}
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}
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if (x == 0)
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{
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dst(y + 1, 0) = res1;
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}
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else if (x == width - 2)
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{
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dst(y + 1, width + 1) = res2;
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}
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}
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else if (x == width - 1)
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{
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const int t0 = (src(y, x) + src(y, x + 2) + src(y + 2, x) + src(y + 2, x + 2) + 2) >> 2;
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const int t1 = (src(y, x + 1) + src(y + 1, x) + src(y + 1, x + 2) + src(y + 2, x + 1) + 2) >> 2;
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T res;
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res.x = blue_last ? t0 : src(y + 1, x + 1);
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res.y = t1;
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res.z = blue_last ? src(y + 1, x + 1) : t0;
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dst(y + 1, x + 1) = dst(y + 1, x + 2) = res;
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if (y == 0)
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{
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dst(0, x + 1) = dst(0, x + 2) = res;
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}
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else if (y == height - 1)
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{
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dst(height + 1, x + 1) = dst(height + 1, x + 2) = res;
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}
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}
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}
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template <typename T, int cn>
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void Bayer2BGR_gpu(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream)
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{
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typedef typename TypeVec<T, cn>::vec_type dst_t;
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const int width = src.cols - 2;
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const int height = src.rows - 2;
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const dim3 total(divUp(width, 2), height);
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const dim3 block(32, 8);
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const dim3 grid(divUp(total.x, block.x), divUp(total.y, block.y));
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Bayer2BGR<PtrStep_<T>, dst_t><<<grid, block, 0, stream>>>((DevMem2D_<T>)src, (DevMem2D_<dst_t>)dst, width, height, blue_last, start_with_green);
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cudaSafeCall( cudaGetLastError() );
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if (stream == 0)
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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template void Bayer2BGR_gpu<uchar, 3>(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
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template void Bayer2BGR_gpu<uchar, 4>(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
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template void Bayer2BGR_gpu<ushort, 3>(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
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template void Bayer2BGR_gpu<ushort, 4>(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
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}
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}}
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