generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

gpuwarping module for image warping

Browse Source
This commit is contained in:
Vladislav Vinogradov
2013-04-18 10:45:48 +04:00
parent 71eeaa7276
commit fc3730fcc2
50 changed files with 2068 additions and 1537 deletions
Download Patch File Download Diff File Expand all files Collapse all files

583
modules/gpuimgproc/perf/perf_imgproc.cpp
View File

@@ -46,323 +46,6 @@ using namespace std;
using namespace testing;
using namespace perf;
//////////////////////////////////////////////////////////////////////
// Remap
enum { HALF_SIZE=0, UPSIDE_DOWN, REFLECTION_X, REFLECTION_BOTH };
CV_ENUM(RemapMode, HALF_SIZE, UPSIDE_DOWN, REFLECTION_X, REFLECTION_BOTH);
void generateMap(cv::Mat& map_x, cv::Mat& map_y, int remapMode)
{
for (int j = 0; j < map_x.rows; ++j)
{
for (int i = 0; i < map_x.cols; ++i)
{
switch (remapMode)
{
case HALF_SIZE:
if (i > map_x.cols*0.25 && i < map_x.cols*0.75 && j > map_x.rows*0.25 && j < map_x.rows*0.75)
{
map_x.at<float>(j,i) = 2.f * (i - map_x.cols * 0.25f) + 0.5f;
map_y.at<float>(j,i) = 2.f * (j - map_x.rows * 0.25f) + 0.5f;
}
else
{
map_x.at<float>(j,i) = 0.f;
map_y.at<float>(j,i) = 0.f;
}
break;
case UPSIDE_DOWN:
map_x.at<float>(j,i) = static_cast<float>(i);
map_y.at<float>(j,i) = static_cast<float>(map_x.rows - j);
break;
case REFLECTION_X:
map_x.at<float>(j,i) = static_cast<float>(map_x.cols - i);
map_y.at<float>(j,i) = static_cast<float>(j);
break;
case REFLECTION_BOTH:
map_x.at<float>(j,i) = static_cast<float>(map_x.cols - i);
map_y.at<float>(j,i) = static_cast<float>(map_x.rows - j);
break;
} // end of switch
}
}
}
DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Border_Mode, cv::Size, MatDepth, MatCn, Interpolation, BorderMode, RemapMode);
PERF_TEST_P(Sz_Depth_Cn_Inter_Border_Mode, ImgProc_Remap,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4,
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),
ALL_BORDER_MODES,
RemapMode::all()))
{
declare.time(20.0);
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int interpolation = GET_PARAM(3);
const int borderMode = GET_PARAM(4);
const int remapMode = GET_PARAM(5);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
cv::Mat xmap(size, CV_32FC1);
cv::Mat ymap(size, CV_32FC1);
generateMap(xmap, ymap, remapMode);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
const cv::gpu::GpuMat d_xmap(xmap);
const cv::gpu::GpuMat d_ymap(ymap);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::remap(d_src, dst, d_xmap, d_ymap, interpolation, borderMode);
GPU_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::remap(src, dst, xmap, ymap, interpolation, borderMode);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// Resize
DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Scale, cv::Size, MatDepth, MatCn, Interpolation, double);
PERF_TEST_P(Sz_Depth_Cn_Inter_Scale, ImgProc_Resize,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4,
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),
Values(0.5, 0.3, 2.0)))
{
declare.time(20.0);
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int interpolation = GET_PARAM(3);
const double f = GET_PARAM(4);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::resize(d_src, dst, cv::Size(), f, f, interpolation);
GPU_SANITY_CHECK(dst, 1e-3, ERROR_RELATIVE);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::resize(src, dst, cv::Size(), f, f, interpolation);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// ResizeArea
DEF_PARAM_TEST(Sz_Depth_Cn_Scale, cv::Size, MatDepth, MatCn, double);
PERF_TEST_P(Sz_Depth_Cn_Scale, ImgProc_ResizeArea,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4,
Values(0.2, 0.1, 0.05)))
{
declare.time(1.0);
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int interpolation = cv::INTER_AREA;
const double f = GET_PARAM(3);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::resize(d_src, dst, cv::Size(), f, f, interpolation);
GPU_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::resize(src, dst, cv::Size(), f, f, interpolation);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// WarpAffine
DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Border, cv::Size, MatDepth, MatCn, Interpolation, BorderMode);
PERF_TEST_P(Sz_Depth_Cn_Inter_Border, ImgProc_WarpAffine,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4,
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),
ALL_BORDER_MODES))
{
declare.time(20.0);
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int interpolation = GET_PARAM(3);
const int borderMode = GET_PARAM(4);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
const double aplha = CV_PI / 4;
const double mat[2 * 3] =
{
std::cos(aplha), -std::sin(aplha), src.cols / 2,
std::sin(aplha), std::cos(aplha), 0
};
const cv::Mat M(2, 3, CV_64F, (void*) mat);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::warpAffine(d_src, dst, M, size, interpolation, borderMode);
GPU_SANITY_CHECK(dst, 1);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::warpAffine(src, dst, M, size, interpolation, borderMode);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// WarpPerspective
PERF_TEST_P(Sz_Depth_Cn_Inter_Border, ImgProc_WarpPerspective,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4,
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),
ALL_BORDER_MODES))
{
declare.time(20.0);
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int interpolation = GET_PARAM(3);
const int borderMode = GET_PARAM(4);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
const double aplha = CV_PI / 4;
double mat[3][3] = { {std::cos(aplha), -std::sin(aplha), src.cols / 2},
{std::sin(aplha), std::cos(aplha), 0},
{0.0, 0.0, 1.0}};
const cv::Mat M(3, 3, CV_64F, (void*) mat);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::warpPerspective(d_src, dst, M, size, interpolation, borderMode);
GPU_SANITY_CHECK(dst, 1);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::warpPerspective(src, dst, M, size, interpolation, borderMode);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// Threshold
CV_ENUM(ThreshOp, THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO, THRESH_TOZERO_INV)
DEF_PARAM_TEST(Sz_Depth_Op, cv::Size, MatDepth, ThreshOp);
PERF_TEST_P(Sz_Depth_Op, ImgProc_Threshold,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F, CV_64F),
ThreshOp::all()))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int threshOp = GET_PARAM(2);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::threshold(d_src, dst, 100.0, 255.0, threshOp);
GPU_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::threshold(src, dst, 100.0, 255.0, threshOp);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// HistEvenC1
@@ -892,196 +575,6 @@ PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, CornerMinEigenVal,
}
}
//////////////////////////////////////////////////////////////////////
// BuildWarpPlaneMaps
PERF_TEST_P(Sz, ImgProc_BuildWarpPlaneMaps,
GPU_TYPICAL_MAT_SIZES)
{
const cv::Size size = GetParam();
const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1);
const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);
const cv::Mat T = cv::Mat::zeros(1, 3, CV_32F);
if (PERF_RUN_GPU())
{
cv::gpu::GpuMat map_x;
cv::gpu::GpuMat map_y;
TEST_CYCLE() cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, map_x, map_y);
GPU_SANITY_CHECK(map_x);
GPU_SANITY_CHECK(map_y);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// BuildWarpCylindricalMaps
PERF_TEST_P(Sz, ImgProc_BuildWarpCylindricalMaps,
GPU_TYPICAL_MAT_SIZES)
{
const cv::Size size = GetParam();
const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1);
const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);
if (PERF_RUN_GPU())
{
cv::gpu::GpuMat map_x;
cv::gpu::GpuMat map_y;
TEST_CYCLE() cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y);
GPU_SANITY_CHECK(map_x);
GPU_SANITY_CHECK(map_y);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// BuildWarpSphericalMaps
PERF_TEST_P(Sz, ImgProc_BuildWarpSphericalMaps,
GPU_TYPICAL_MAT_SIZES)
{
const cv::Size size = GetParam();
const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1);
const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);
if (PERF_RUN_GPU())
{
cv::gpu::GpuMat map_x;
cv::gpu::GpuMat map_y;
TEST_CYCLE() cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y);
GPU_SANITY_CHECK(map_x);
GPU_SANITY_CHECK(map_y);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// Rotate
DEF_PARAM_TEST(Sz_Depth_Cn_Inter, cv::Size, MatDepth, MatCn, Interpolation);
PERF_TEST_P(Sz_Depth_Cn_Inter, ImgProc_Rotate,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4,
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC))))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int interpolation = GET_PARAM(3);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::rotate(d_src, dst, size, 30.0, 0, 0, interpolation);
GPU_SANITY_CHECK(dst, 1e-3, ERROR_RELATIVE);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// PyrDown
PERF_TEST_P(Sz_Depth_Cn, ImgProc_PyrDown,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::pyrDown(d_src, dst);
GPU_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::pyrDown(src, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// PyrUp
PERF_TEST_P(Sz_Depth_Cn, ImgProc_PyrUp,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::pyrUp(d_src, dst);
GPU_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::pyrUp(src, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// CvtColor
@@ -1284,82 +777,6 @@ PERF_TEST_P(Sz_Type_Op, AlphaComp,
}
}
//////////////////////////////////////////////////////////////////////
// ImagePyramidBuild
PERF_TEST_P(Sz_Depth_Cn, ImgProc_ImagePyramidBuild,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
const int nLayers = 5;
const cv::Size dstSize(size.width / 2 + 10, size.height / 2 + 10);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::ImagePyramid d_pyr;
TEST_CYCLE() d_pyr.build(d_src, nLayers);
cv::gpu::GpuMat dst;
d_pyr.getLayer(dst, dstSize);
GPU_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// ImagePyramidGetLayer
PERF_TEST_P(Sz_Depth_Cn, ImgProc_ImagePyramidGetLayer,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F),
GPU_CHANNELS_1_3_4))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
const int nLayers = 3;
const cv::Size dstSize(size.width / 2 + 10, size.height / 2 + 10);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
cv::gpu::ImagePyramid d_pyr(d_src, nLayers);
TEST_CYCLE() d_pyr.getLayer(dst, dstSize);
GPU_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// HoughLines