#else /* !defined (HAVE_CUDA) */\r
\r
#include <cvt_colot_internal.h>\r
+\r
+namespace cv { namespace gpu {\r
+ namespace device\r
+ {\r
+ template <typename T, int cn>\r
+ void Bayer2BGR_gpu(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);\r
+ }\r
+}}\r
+\r
using namespace ::cv::gpu::device;\r
\r
namespace\r
nppSafeCall( nppiAlphaPremul_16u_AC4R(src.ptr<Npp16u>(), static_cast<int>(src.step), dst.ptr<Npp16u>(), static_cast<int>(dst.step), oSizeROI) );\r
#endif\r
}\r
+\r
+ void bayer_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, bool blue_last, bool start_with_green, Stream& stream)\r
+ {\r
+ typedef void (*func_t)(DevMem2Db src, DevMem2Db dst, bool blue_last, bool start_with_green, cudaStream_t stream);\r
+ static const func_t funcs[3][4] =\r
+ {\r
+ {0,0,Bayer2BGR_gpu<uchar, 3>, Bayer2BGR_gpu<uchar, 4>},\r
+ {0,0,0,0},\r
+ {0,0,Bayer2BGR_gpu<ushort, 3>, Bayer2BGR_gpu<ushort, 4>}\r
+ };\r
+\r
+ if (dcn <= 0) dcn = 3;\r
+\r
+ CV_Assert(src.type() == CV_8UC1 || src.type() == CV_16UC1);\r
+ CV_Assert(src.rows > 2 && src.cols > 2);\r
+ CV_Assert(dcn == 3 || dcn == 4);\r
+\r
+ dst.create(src.size(), CV_MAKETYPE(src.depth(), dcn));\r
+\r
+ funcs[src.depth()][dcn - 1](src, dst, blue_last, start_with_green, StreamAccessor::getStream(stream));\r
+ }\r
+\r
+ void bayerBG_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)\r
+ {\r
+ bayer_to_bgr(src, dst, dcn, false, false, stream);\r
+ }\r
+\r
+ void bayerGB_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)\r
+ {\r
+ bayer_to_bgr(src, dst, dcn, false, true, stream);\r
+ }\r
+\r
+ void bayerRG_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)\r
+ {\r
+ bayer_to_bgr(src, dst, dcn, true, false, stream);\r
+ }\r
+\r
+ void bayerGR_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)\r
+ {\r
+ bayer_to_bgr(src, dst, dcn, true, true, stream);\r
+ }\r
}\r
\r
void cv::gpu::cvtColor(const GpuMat& src, GpuMat& dst, int code, int dcn, Stream& stream)\r
bgr_to_lab, // CV_BGR2Lab =44\r
rgb_to_lab, // CV_RGB2Lab =45\r
\r
- 0, // CV_BayerBG2BGR =46\r
- 0, // CV_BayerGB2BGR =47\r
- 0, // CV_BayerRG2BGR =48\r
- 0, // CV_BayerGR2BGR =49\r
+ bayerBG_to_bgr, // CV_BayerBG2BGR =46\r
+ bayerGB_to_bgr, // CV_BayerGB2BGR =47\r
+ bayerRG_to_bgr, // CV_BayerRG2BGR =48\r
+ bayerGR_to_bgr, // CV_BayerGR2BGR =49\r
\r
bgr_to_luv, // CV_BGR2Luv =50\r
rgb_to_luv, // CV_RGB2Luv =51\r
--- /dev/null
+/*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);
+ }
+}}
}
}
+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,
projects / profile / ivi / opencv.git / commitdiff