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added debayer to gpu::cvtColor

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This commit is contained in:
Vladislav Vinogradov 2012-08-02 15:04:00 +04:00
parent c0d3adef25
commit 7b025474e2
3 changed files with 414 additions and 4 deletions
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58
modules/gpu/src/color.cpp
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@ -54,6 +54,15 @@ void cv::gpu::gammaCorrection(const GpuMat&, GpuMat&, bool, Stream&) { throw_nog
#else /* !defined (HAVE_CUDA) */
#include <cvt_colot_internal.h>
namespace cv { namespace gpu {
namespace device
{
template <typename T, int cn>
void Bayer2BGR_gpu(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
}
}}
using namespace ::cv::gpu::device;
namespace
@ -1302,6 +1311,47 @@ namespace
nppSafeCall( nppiAlphaPremul_16u_AC4R(src.ptr<Npp16u>(), static_cast<int>(src.step), dst.ptr<Npp16u>(), static_cast<int>(dst.step), oSizeROI) );
#endif
}
void bayer_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, bool blue_last, bool start_with_green, Stream& stream)
{
typedef void (*func_t)(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
static const func_t funcs[3][4] =
{
{0,0,Bayer2BGR_gpu<uchar, 3>, Bayer2BGR_gpu<uchar, 4>},
{0,0,0,0},
{0,0,Bayer2BGR_gpu<ushort, 3>, Bayer2BGR_gpu<ushort, 4>}
};
if (dcn <= 0) dcn = 3;
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_16UC1);
CV_Assert(src.rows > 2 && src.cols > 2);
CV_Assert(dcn == 3 || dcn == 4);
dst.create(src.size(), CV_MAKETYPE(src.depth(), dcn));
funcs[src.depth()][dcn - 1](src, dst, blue_last, start_with_green, StreamAccessor::getStream(stream));
}
void bayerBG_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
bayer_to_bgr(src, dst, dcn, false, false, stream);
}
void bayerGB_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
bayer_to_bgr(src, dst, dcn, false, true, stream);
}
void bayerRG_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
bayer_to_bgr(src, dst, dcn, true, false, stream);
}
void bayerGR_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
bayer_to_bgr(src, dst, dcn, true, true, stream);
}
}
void cv::gpu::cvtColor(const GpuMat& src, GpuMat& dst, int code, int dcn, Stream& stream)
@ -1366,10 +1416,10 @@ void cv::gpu::cvtColor(const GpuMat& src, GpuMat& dst, int code, int dcn, Stream
bgr_to_lab, // CV_BGR2Lab =44
rgb_to_lab, // CV_RGB2Lab =45
0, // CV_BayerBG2BGR =46
0, // CV_BayerGB2BGR =47
0, // CV_BayerRG2BGR =48
0, // CV_BayerGR2BGR =49
bayerBG_to_bgr, // CV_BayerBG2BGR =46
bayerGB_to_bgr, // CV_BayerGB2BGR =47
bayerRG_to_bgr, // CV_BayerRG2BGR =48
bayerGR_to_bgr, // CV_BayerGR2BGR =49
bgr_to_luv, // CV_BGR2Luv =50
rgb_to_luv, // CV_RGB2Luv =51

208
modules/gpu/src/cuda/debayer.cu Normal file
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@ -0,0 +1,208 @@
/*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/gpu/device/common.hpp>
#include <opencv2/gpu/device/vec_traits.hpp>
namespace cv { namespace gpu {
namespace device
{
template <class SrcPtr, typename T>
__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)
{
const int tx = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
if (y >= height)
return;
const bool blue_last = (y & 1) ? !glob_blue_last : glob_blue_last;
const bool start_with_green = (y & 1) ? !glob_start_with_green : glob_start_with_green;
int x = tx * 2;
if (start_with_green)
{
--x;
if (tx == 0)
{
const int t0 = (src(y, 1) + src(y + 2, 1) + 1) >> 1;
const int t1 = (src(y + 1, 0) + src(y + 1, 2) + 1) >> 1;
T res;
res.x = blue_last ? t0 : t1;
res.y = src(y + 1, 1);
res.z = blue_last ? t1 : t0;
dst(y + 1, 0) = dst(y + 1, 1) = res;
if (y == 0)
{
dst(0, 0) = dst(0, 1) = res;
}
else if (y == height - 1)
{
dst(height + 1, 0) = dst(height + 1, 1) = res;
}
}
}
if (x >= 0 && x <= width - 2)
{
const int t0 = (src(y, x) + src(y, x + 2) + src(y + 2, x) + src(y + 2, x + 2) + 2) >> 2;
const int t1 = (src(y, x + 1) + src(y + 1, x) + src(y + 1, x + 2) + src(y + 2, x + 1) + 2) >> 2;
const int t2 = (src(y, x + 2) + src(y + 2, x + 2) + 1) >> 1;
const int t3 = (src(y + 1, x + 1) + src(y + 1, x + 3) + 1) >> 1;
T res1, res2;
if (blue_last)
{
res1.x = t0;
res1.y = t1;
res1.z = src(y + 1, x + 1);
res2.x = t2;
res2.y = src(y + 1, x + 2);
res2.z = t3;
}
else
{
res1.x = src(y + 1, x + 1);
res1.y = t1;
res1.z = t0;
res2.x = t3;
res2.y = src(y + 1, x + 2);
res2.z = t2;
}
dst(y + 1, x + 1) = res1;
dst(y + 1, x + 2) = res2;
if (y == 0)
{
dst(0, x + 1) = res1;
dst(0, x + 2) = res2;
if (x == 0)
{
dst(0, 0) = res1;
}
else if (x == width - 2)
{
dst(0, width + 1) = res2;
}
}
else if (y == height - 1)
{
dst(height + 1, x + 1) = res1;
dst(height + 1, x + 2) = res2;
if (x == 0)
{
dst(height + 1, 0) = res1;
}
else if (x == width - 2)
{
dst(height + 1, width + 1) = res2;
}
}
if (x == 0)
{
dst(y + 1, 0) = res1;
}
else if (x == width - 2)
{
dst(y + 1, width + 1) = res2;
}
}
else if (x == width - 1)
{
const int t0 = (src(y, x) + src(y, x + 2) + src(y + 2, x) + src(y + 2, x + 2) + 2) >> 2;
const int t1 = (src(y, x + 1) + src(y + 1, x) + src(y + 1, x + 2) + src(y + 2, x + 1) + 2) >> 2;
T res;
res.x = blue_last ? t0 : src(y + 1, x + 1);
res.y = t1;
res.z = blue_last ? src(y + 1, x + 1) : t0;
dst(y + 1, x + 1) = dst(y + 1, x + 2) = res;
if (y == 0)
{
dst(0, x + 1) = dst(0, x + 2) = res;
}
else if (y == height - 1)
{
dst(height + 1, x + 1) = dst(height + 1, x + 2) = res;
}
}
}
template <typename T, int cn>
void Bayer2BGR_gpu(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream)
{
typedef typename TypeVec<T, cn>::vec_type dst_t;
const int width = src.cols - 2;
const int height = src.rows - 2;
const dim3 total(divUp(width, 2), height);
const dim3 block(32, 8);
const dim3 grid(divUp(total.x, block.x), divUp(total.y, block.y));
Bayer2BGR<PtrStep_<T>, dst_t><<<grid, block, 0, stream>>>((DevMem2D_<T>)src, (DevMem2D_<dst_t>)dst, width, height, blue_last, start_with_green);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
template void Bayer2BGR_gpu<uchar, 3>(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
template void Bayer2BGR_gpu<uchar, 4>(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
template void Bayer2BGR_gpu<ushort, 3>(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
template void Bayer2BGR_gpu<ushort, 4>(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);
}
}}

152
modules/gpu/test/test_color.cpp
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@ -1744,6 +1744,158 @@ TEST_P(CvtColor, RGBA2mRGBA)
}
}
TEST_P(CvtColor, BayerBG2BGR)
{
if (depth != CV_8U && depth != CV_16U)
return;
cv::Mat src = randomMat(size, CV_8UC1);
cv::gpu::GpuMat dst;
cv::gpu::cvtColor(loadMat(src, useRoi), dst, cv::COLOR_BayerBG2BGR);
cv::Mat dst_gold;
cv::cvtColor(src, dst_gold, cv::COLOR_BayerBG2BGR);
EXPECT_MAT_NEAR(dst_gold, dst, 0);
}
TEST_P(CvtColor, BayerBG2BGR4)
{
if (depth != CV_8U && depth != CV_16U)
return;
cv::Mat src = randomMat(size, CV_8UC1);
cv::gpu::GpuMat dst;
cv::gpu::cvtColor(loadMat(src, useRoi), dst, cv::COLOR_BayerBG2BGR, 4);
ASSERT_EQ(4, dst.channels());
cv::Mat dst_gold;
cv::cvtColor(src, dst_gold, cv::COLOR_BayerBG2BGR);
cv::Mat dst4(dst);
cv::Mat dst3;
cv::cvtColor(dst4, dst3, cv::COLOR_BGRA2BGR);
EXPECT_MAT_NEAR(dst_gold, dst3, 0);
}
TEST_P(CvtColor, BayerGB2BGR)
{
if (depth != CV_8U && depth != CV_16U)
return;
cv::Mat src = randomMat(size, CV_8UC1);
cv::gpu::GpuMat dst;
cv::gpu::cvtColor(loadMat(src, useRoi), dst, cv::COLOR_BayerGB2BGR);
cv::Mat dst_gold;
cv::cvtColor(src, dst_gold, cv::COLOR_BayerGB2BGR);
EXPECT_MAT_NEAR(dst_gold, dst, 0);
}
TEST_P(CvtColor, BayerGB2BGR4)
{
if (depth != CV_8U && depth != CV_16U)
return;
cv::Mat src = randomMat(size, CV_8UC1);
cv::gpu::GpuMat dst;
cv::gpu::cvtColor(loadMat(src, useRoi), dst, cv::COLOR_BayerGB2BGR, 4);
ASSERT_EQ(4, dst.channels());
cv::Mat dst_gold;
cv::cvtColor(src, dst_gold, cv::COLOR_BayerGB2BGR);
cv::Mat dst4(dst);
cv::Mat dst3;
cv::cvtColor(dst4, dst3, cv::COLOR_BGRA2BGR);
EXPECT_MAT_NEAR(dst_gold, dst3, 0);
}
TEST_P(CvtColor, BayerRG2BGR)
{
if (depth != CV_8U && depth != CV_16U)
return;
cv::Mat src = randomMat(size, CV_8UC1);
cv::gpu::GpuMat dst;
cv::gpu::cvtColor(loadMat(src, useRoi), dst, cv::COLOR_BayerRG2BGR);
cv::Mat dst_gold;
cv::cvtColor(src, dst_gold, cv::COLOR_BayerRG2BGR);
EXPECT_MAT_NEAR(dst_gold, dst, 0);
}
TEST_P(CvtColor, BayerRG2BGR4)
{
if (depth != CV_8U && depth != CV_16U)
return;
cv::Mat src = randomMat(size, CV_8UC1);
cv::gpu::GpuMat dst;
cv::gpu::cvtColor(loadMat(src, useRoi), dst, cv::COLOR_BayerRG2BGR, 4);
ASSERT_EQ(4, dst.channels());
cv::Mat dst_gold;
cv::cvtColor(src, dst_gold, cv::COLOR_BayerRG2BGR);
cv::Mat dst4(dst);
cv::Mat dst3;
cv::cvtColor(dst4, dst3, cv::COLOR_BGRA2BGR);
EXPECT_MAT_NEAR(dst_gold, dst3, 0);
}
TEST_P(CvtColor, BayerGR2BGR)
{
if (depth != CV_8U && depth != CV_16U)
return;
cv::Mat src = randomMat(size, CV_8UC1);
cv::gpu::GpuMat dst;
cv::gpu::cvtColor(loadMat(src, useRoi), dst, cv::COLOR_BayerGR2BGR);
cv::Mat dst_gold;
cv::cvtColor(src, dst_gold, cv::COLOR_BayerGR2BGR);
EXPECT_MAT_NEAR(dst_gold, dst, 0);
}
TEST_P(CvtColor, BayerGR2BGR4)
{
if (depth != CV_8U && depth != CV_16U)
return;
cv::Mat src = randomMat(size, CV_8UC1);
cv::gpu::GpuMat dst;
cv::gpu::cvtColor(loadMat(src, useRoi), dst, cv::COLOR_BayerGR2BGR, 4);
ASSERT_EQ(4, dst.channels());
cv::Mat dst_gold;
cv::cvtColor(src, dst_gold, cv::COLOR_BayerGR2BGR);
cv::Mat dst4(dst);
cv::Mat dst3;
cv::cvtColor(dst4, dst3, cv::COLOR_BGRA2BGR);
EXPECT_MAT_NEAR(dst_gold, dst3, 0);
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, CvtColor, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,