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photo module fixes

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This commit is contained in:
Vladislav Vinogradov 2013-04-18 10:33:42 +04:00
parent 12f16b7a26
commit f375c86dfb
5 changed files with 36 additions and 28 deletions
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2
modules/photo/CMakeLists.txt
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@ -4,4 +4,4 @@ if(HAVE_CUDA)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef -Wmissing-declarations)
endif()
ocv_define_module(photo opencv_imgproc OPTIONAL opencv_gpuimgproc)
ocv_define_module(photo opencv_imgproc OPTIONAL opencv_gpuarithm opencv_gpuimgproc)

12
modules/photo/perf/perf_gpu.cpp
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@ -45,6 +45,10 @@
#include "opencv2/photo/gpu.hpp"
#include "opencv2/ts/gpu_perf.hpp"
#include "opencv2/opencv_modules.hpp"
#if defined (HAVE_CUDA) && defined(HAVE_OPENCV_GPUARITHM) && defined(HAVE_OPENCV_GPUIMGPROC)
using namespace std;
using namespace testing;
using namespace perf;
@ -56,7 +60,7 @@ using namespace perf;
DEF_PARAM_TEST(Sz_Depth_Cn_WinSz_BlockSz, cv::Size, MatDepth, MatCn, int, int);
PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_NonLocalMeans,
PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, GPU_NonLocalMeans,
Combine(GPU_DENOISING_IMAGE_SIZES,
Values<MatDepth>(CV_8U),
GPU_CHANNELS_1_3,
@ -100,7 +104,7 @@ PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_NonLocalMeans,
DEF_PARAM_TEST(Sz_Depth_Cn_WinSz_BlockSz, cv::Size, MatDepth, MatCn, int, int);
PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_FastNonLocalMeans,
PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, GPU_FastNonLocalMeans,
Combine(GPU_DENOISING_IMAGE_SIZES,
Values<MatDepth>(CV_8U),
GPU_CHANNELS_1_3,
@ -146,7 +150,7 @@ PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_FastNonLocalMeans,
DEF_PARAM_TEST(Sz_Depth_WinSz_BlockSz, cv::Size, MatDepth, int, int);
PERF_TEST_P(Sz_Depth_WinSz_BlockSz, Denoising_FastNonLocalMeansColored,
PERF_TEST_P(Sz_Depth_WinSz_BlockSz, GPU_FastNonLocalMeansColored,
Combine(GPU_DENOISING_IMAGE_SIZES,
Values<MatDepth>(CV_8U),
Values(21),
@ -185,3 +189,5 @@ PERF_TEST_P(Sz_Depth_WinSz_BlockSz, Denoising_FastNonLocalMeansColored,
CPU_SANITY_CHECK(dst);
}
}
#endif

5
modules/photo/src/cuda/nlm.cu
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@ -40,8 +40,6 @@
//
//M*/
#if !defined CUDA_DISABLER
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
@ -564,6 +562,3 @@ namespace cv { namespace gpu { namespace cudev
}
}
}}}
#endif /* CUDA_DISABLER */

17
modules/photo/src/denoising_gpu.cpp
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@ -44,13 +44,21 @@
#include "opencv2/photo/gpu.hpp"
#include "opencv2/core/gpu_private.hpp"
#include "opencv2/gpuarithm.hpp"
#include "opencv2/gpuimgproc.hpp"
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_GPUARITHM
# include "opencv2/gpuarithm.hpp"
#endif
#ifdef HAVE_OPENCV_GPUIMGPROC
# include "opencv2/gpuimgproc.hpp"
#endif
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
#if !defined (HAVE_CUDA) || !defined(HAVE_OPENCV_GPUARITHM) || !defined(HAVE_OPENCV_GPUIMGPROC)
void cv::gpu::nonLocalMeans(const GpuMat&, GpuMat&, float, int, int, int, Stream&) { throw_no_cuda(); }
void cv::gpu::FastNonLocalMeansDenoising::simpleMethod(const GpuMat&, GpuMat&, float, int, int, Stream&) { throw_no_cuda(); }
@ -147,7 +155,4 @@ void cv::gpu::FastNonLocalMeansDenoising::labMethod( const GpuMat& src, GpuMat&
cv::gpu::cvtColor(lab, dst, cv::COLOR_Lab2BGR, 0, s);
}
#endif

28
modules/photo/test/test_denoising_gpu.cpp
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@ -45,18 +45,20 @@
#include "opencv2/photo/gpu.hpp"
#include "opencv2/ts/gpu_test.hpp"
#ifdef HAVE_CUDA
#include "opencv2/opencv_modules.hpp"
#if defined (HAVE_CUDA) && defined(HAVE_OPENCV_GPUARITHM) && defined(HAVE_OPENCV_GPUIMGPROC)
using namespace cvtest;
////////////////////////////////////////////////////////
// Brute Force Non local means
TEST(BruteForceNonLocalMeans, Regression)
TEST(GPU_BruteForceNonLocalMeans, Regression)
{
using cv::gpu::GpuMat;
cv::Mat bgr = readImage("denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
cv::Mat bgr = readImage("../gpu/denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
ASSERT_FALSE(bgr.empty());
cv::Mat gray;
@ -67,12 +69,12 @@ TEST(BruteForceNonLocalMeans, Regression)
cv::gpu::nonLocalMeans(GpuMat(gray), dgray, 20);
#if 0
dumpImage("denoising/nlm_denoised_lena_bgr.png", cv::Mat(dbgr));
dumpImage("denoising/nlm_denoised_lena_gray.png", cv::Mat(dgray));
dumpImage("../gpu/denoising/nlm_denoised_lena_bgr.png", cv::Mat(dbgr));
dumpImage("../gpu/denoising/nlm_denoised_lena_gray.png", cv::Mat(dgray));
#endif
cv::Mat bgr_gold = readImage("denoising/nlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
cv::Mat gray_gold = readImage("denoising/nlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
cv::Mat bgr_gold = readImage("../gpu/denoising/nlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
cv::Mat gray_gold = readImage("../gpu/denoising/nlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty());
EXPECT_MAT_NEAR(bgr_gold, dbgr, 1e-4);
@ -82,11 +84,11 @@ TEST(BruteForceNonLocalMeans, Regression)
////////////////////////////////////////////////////////
// Fast Force Non local means
TEST(FastNonLocalMeans, Regression)
TEST(GPU_FastNonLocalMeans, Regression)
{
using cv::gpu::GpuMat;
cv::Mat bgr = readImage("denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
cv::Mat bgr = readImage("../gpu/denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
ASSERT_FALSE(bgr.empty());
cv::Mat gray;
@ -99,12 +101,12 @@ TEST(FastNonLocalMeans, Regression)
fnlmd.labMethod(GpuMat(bgr), dbgr, 20, 10);
#if 0
dumpImage("denoising/fnlm_denoised_lena_bgr.png", cv::Mat(dbgr));
dumpImage("denoising/fnlm_denoised_lena_gray.png", cv::Mat(dgray));
dumpImage("../gpu/denoising/fnlm_denoised_lena_bgr.png", cv::Mat(dbgr));
dumpImage("../gpu/denoising/fnlm_denoised_lena_gray.png", cv::Mat(dgray));
#endif
cv::Mat bgr_gold = readImage("denoising/fnlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
cv::Mat gray_gold = readImage("denoising/fnlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
cv::Mat bgr_gold = readImage("../gpu/denoising/fnlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
cv::Mat gray_gold = readImage("../gpu/denoising/fnlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty());
EXPECT_MAT_NEAR(bgr_gold, dbgr, 1);