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add sanity checks into the denoising gpu performance tests

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This commit is contained in:
marina.kolpakova 2012-10-10 13:34:50 +04:00
parent 45190aea47
commit 715a0032e0
1 changed files with 40 additions and 26 deletions
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66
modules/gpu/perf/perf_denoising.cpp
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@ -11,7 +11,7 @@ using namespace testing;
DEF_PARAM_TEST(Sz_Depth_Cn_KernelSz, cv::Size, MatDepth, MatCn, int);
PERF_TEST_P(Sz_Depth_Cn_KernelSz, Denoising_BilateralFilter,
PERF_TEST_P(Sz_Depth_Cn_KernelSz, Denoising_BilateralFilter,
Combine(GPU_DENOISING_IMAGE_SIZES, Values(CV_8U, CV_32F), GPU_CHANNELS_1_3, Values(3, 5, 9)))
{
declare.time(60.0);
@ -30,7 +30,7 @@ PERF_TEST_P(Sz_Depth_Cn_KernelSz, Denoising_BilateralFilter,
cv::Mat src(size, type);
fillRandom(src);
if (runOnGpu)
if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
@ -41,6 +41,8 @@ PERF_TEST_P(Sz_Depth_Cn_KernelSz, Denoising_BilateralFilter,
{
cv::gpu::bilateralFilter(d_src, d_dst, kernel_size, sigma_color, sigma_spatial, borderMode);
}
GPU_SANITY_CHECK(d_dst);
}
else
{
@ -52,6 +54,8 @@ PERF_TEST_P(Sz_Depth_Cn_KernelSz, Denoising_BilateralFilter,
{
cv::bilateralFilter(src, dst, kernel_size, sigma_color, sigma_spatial, borderMode);
}
CPU_SANITY_CHECK(dst);
}
}
@ -61,27 +65,27 @@ PERF_TEST_P(Sz_Depth_Cn_KernelSz, Denoising_BilateralFilter,
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, Denoising_NonLocalMeans,
Combine(GPU_DENOISING_IMAGE_SIZES, Values<MatDepth>(CV_8U), GPU_CHANNELS_1_3, Values(21), Values(5, 7)))
{
declare.time(60.0);
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int channels = GET_PARAM(2);
int depth = GET_PARAM(1);
int channels = GET_PARAM(2);
int search_widow_size = GET_PARAM(3);
int block_size = GET_PARAM(4);
float h = 10;
int borderMode = cv::BORDER_REFLECT101;
int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
fillRandom(src);
if (runOnGpu)
if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
@ -92,10 +96,12 @@ PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_NonLocalMeans,
{
cv::gpu::nonLocalMeans(d_src, d_dst, h, search_widow_size, block_size, borderMode);
}
GPU_SANITY_CHECK(d_dst);
}
else
{
FAIL();
FAIL() << "No such CPU implementation analogy";
}
}
@ -105,35 +111,37 @@ 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, Denoising_FastNonLocalMeans,
Combine(GPU_DENOISING_IMAGE_SIZES, Values<MatDepth>(CV_8U), GPU_CHANNELS_1_3, Values(21), Values(7)))
{
declare.time(150.0);
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int depth = GET_PARAM(1);
int search_widow_size = GET_PARAM(2);
int block_size = GET_PARAM(3);
float h = 10;
int type = CV_MAKE_TYPE(depth, 1);
float h = 10;
int type = CV_MAKE_TYPE(depth, 1);
cv::Mat src(size, type);
fillRandom(src);
if (runOnGpu)
if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::FastNonLocalMeansDenoising fnlmd;
fnlmd.simpleMethod(d_src, d_dst, h, search_widow_size, block_size);
fnlmd.simpleMethod(d_src, d_dst, h, search_widow_size, block_size);
TEST_CYCLE()
{
fnlmd.simpleMethod(d_src, d_dst, h, search_widow_size, block_size);
fnlmd.simpleMethod(d_src, d_dst, h, search_widow_size, block_size);
}
GPU_SANITY_CHECK(d_dst);
}
else
{
@ -144,6 +152,8 @@ PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_FastNonLocalMeans,
{
cv::fastNlMeansDenoising(src, dst, h, block_size, search_widow_size);
}
CPU_SANITY_CHECK(dst);
}
}
@ -152,35 +162,37 @@ 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, Denoising_FastNonLocalMeansColored,
Combine(GPU_DENOISING_IMAGE_SIZES, Values<MatDepth>(CV_8U), Values(21), Values(7)))
{
declare.time(350.0);
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int search_widow_size = GET_PARAM(2);
int block_size = GET_PARAM(3);
float h = 10;
float h = 10;
int type = CV_MAKE_TYPE(depth, 3);
cv::Mat src(size, type);
fillRandom(src);
if (runOnGpu)
if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::FastNonLocalMeansDenoising fnlmd;
fnlmd.labMethod(d_src, d_dst, h, h, search_widow_size, block_size);
fnlmd.labMethod(d_src, d_dst, h, h, search_widow_size, block_size);
TEST_CYCLE()
{
fnlmd.labMethod(d_src, d_dst, h, h, search_widow_size, block_size);
fnlmd.labMethod(d_src, d_dst, h, h, search_widow_size, block_size);
}
GPU_SANITY_CHECK(d_dst);
}
else
{
@ -191,5 +203,7 @@ PERF_TEST_P(Sz_Depth_WinSz_BlockSz, Denoising_FastNonLocalMeansColored,
{
cv::fastNlMeansDenoisingColored(src, dst, h, h, block_size, search_widow_size);
}
CPU_SANITY_CHECK(dst);
}
}