Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
PERF_TEST_P(DevInfo_Size_MatType_Interpolation_BorderMode, remap, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_32FC1),
testing::Values((int)INTER_NEAREST, (int)INTER_LINEAR, (int)INTER_CUBIC),
testing::Values((int)BORDER_REFLECT101, (int)BORDER_REPLICATE, (int)BORDER_CONSTANT)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
int interpolation = std::tr1::get<3>(GetParam());
int borderMode = std::tr1::get<4>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, type);
Mat xmap_host(size, CV_32FC1);
Mat ymap_host(size, CV_32FC1);
randu(xmap_host, -300, size.width + 300);
randu(ymap_host, -300, size.height + 300);
GpuMat xmap(xmap_host);
GpuMat ymap(ymap_host);
declare.time(3.0).iterations(100);
SIMPLE_TEST_CYCLE()
{
remap(src, dst, xmap, ymap, interpolation, borderMode);
}
Mat dst_host = dst;
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo, meanShiftFiltering, testing::ValuesIn(devices()))
{
DeviceInfo devInfo = GetParam();
setDevice(devInfo.deviceID());
Mat img = readImage("gpu/meanshift/cones.png");
ASSERT_FALSE(img.empty());
Mat rgba;
cvtColor(img, rgba, CV_BGR2BGRA);
GpuMat src(rgba);
GpuMat dst(src.size(), CV_8UC4);
declare.time(5.0).iterations(100);
SIMPLE_TEST_CYCLE()
{
meanShiftFiltering(src, dst, 50, 50);
}
Mat dst_host = dst;
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo, meanShiftProc, testing::ValuesIn(devices()))
{
DeviceInfo devInfo = GetParam();
setDevice(devInfo.deviceID());
Mat img = readImage("gpu/meanshift/cones.png");
ASSERT_FALSE(img.empty());
Mat rgba;
cvtColor(img, rgba, CV_BGR2BGRA);
GpuMat src(rgba);
GpuMat dstr(src.size(), CV_8UC4);
GpuMat dstsp(src.size(), CV_16SC2);
declare.time(5.0).iterations(100);
SIMPLE_TEST_CYCLE()
{
meanShiftProc(src, dstr, dstsp, 50, 50);
}
Mat dstr_host = dstr;
Mat dstsp_host = dstsp;
SANITY_CHECK(dstr_host);
SANITY_CHECK(dstsp_host);
}
PERF_TEST_P(DevInfo, meanShiftSegmentation, testing::ValuesIn(devices()))
{
DeviceInfo devInfo = GetParam();
setDevice(devInfo.deviceID());
Mat img = readImage("gpu/meanshift/cones.png");
ASSERT_FALSE(img.empty());
Mat rgba;
cvtColor(img, rgba, CV_BGR2BGRA);
GpuMat src(rgba);
Mat dst(src.size(), CV_8UC4);
declare.time(5.0).iterations(100);
SIMPLE_TEST_CYCLE()
{
meanShiftSegmentation(src, dst, 10, 10, 20);
}
SANITY_CHECK(dst);
}
PERF_TEST_P(DevInfo_Size_MatType, drawColorDisp, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_16SC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_8UC1);
declare.in(src_host, WARMUP_RNG);
src_host.convertTo(src_host, type);
GpuMat src(src_host);
GpuMat dst(size, CV_8UC4);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
drawColorDisp(src, dst, 255);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType, reprojectImageTo3D, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_16SC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, CV_32FC4);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
reprojectImageTo3D(src, dst, Mat::ones(4, 4, CV_32FC1));
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType_CvtColorInfo, cvtColor, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_16UC1, CV_32FC1),
testing::Values(CvtColorInfo(4, 4, CV_RGBA2BGRA), CvtColorInfo(4, 1, CV_BGRA2GRAY), CvtColorInfo(1, 4, CV_GRAY2BGRA),
CvtColorInfo(4, 4, CV_BGR2XYZ), CvtColorInfo(4, 4, CV_BGR2YCrCb), CvtColorInfo(4, 4, CV_YCrCb2BGR),
CvtColorInfo(4, 4, CV_BGR2HSV), CvtColorInfo(4, 4, CV_HSV2BGR))))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
CvtColorInfo info = std::tr1::get<3>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_MAKETYPE(type, info.scn));
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, CV_MAKETYPE(type, info.dcn));
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
cvtColor(src, dst, info.code, info.dcn);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType, threshold, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_16UC1, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, type);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
threshold(src, dst, 100.0, 255.0, THRESH_BINARY);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType_Interpolation_SizeCoeff, resize, testing::Combine(testing::ValuesIn(devices()),
testing::Values(szSXGA, sz1080p),
testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_32FC1),
testing::Values((int)INTER_NEAREST, (int)INTER_LINEAR, (int)INTER_CUBIC),
testing::Values(0.5, 2.0)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
int interpolation = std::tr1::get<3>(GetParam());
double f = std::tr1::get<4>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
declare.time(1.0).iterations(100);
SIMPLE_TEST_CYCLE()
{
resize(src, dst, Size(), f, f, interpolation);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType_Interpolation, warpAffine, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_32FC1),
testing::Values((int)INTER_NEAREST, (int)INTER_LINEAR, (int)INTER_CUBIC)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
int interpolation = std::tr1::get<3>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, type);
static double reflect[2][3] = { {-1, 0, 0},
{ 0, -1, 0}};
reflect[0][2] = size.width;
reflect[1][2] = size.height;
Mat M(2, 3, CV_64F, (void*)reflect);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
warpAffine(src, dst, M, size, interpolation);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType_Interpolation, warpPerspective, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_32FC1),
testing::Values((int)INTER_NEAREST, (int)INTER_LINEAR, (int)INTER_CUBIC)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
int interpolation = std::tr1::get<3>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, type);
static double reflect[3][3] = { {-1, 0, 0},
{ 0, -1, 0},
{ 0, 0, 1}};
reflect[0][2] = size.width;
reflect[1][2] = size.height;
Mat M(3, 3, CV_64F, (void*)reflect);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
warpPerspective(src, dst, M, size, interpolation);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size, buildWarpPlaneMaps, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
GpuMat map_x(size, CV_32FC1);
GpuMat map_y(size, CV_32FC1);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
buildWarpPlaneMaps(size, Rect(0, 0, size.width, size.height), Mat::ones(3, 3, CV_32FC1), 1.0, 1.0, 1.0, map_x, map_y);
}
Mat map_x_host(map_x);
Mat map_y_host(map_y);
SANITY_CHECK(map_x_host);
SANITY_CHECK(map_y_host);
}
PERF_TEST_P(DevInfo_Size, buildWarpCylindricalMaps, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
GpuMat map_x(size, CV_32FC1);
GpuMat map_y(size, CV_32FC1);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
buildWarpCylindricalMaps(size, Rect(0, 0, size.width, size.height), Mat::ones(3, 3, CV_32FC1), 1.0, 1.0, map_x, map_y);
}
Mat map_x_host(map_x);
Mat map_y_host(map_y);
SANITY_CHECK(map_x_host);
SANITY_CHECK(map_y_host);
}
PERF_TEST_P(DevInfo_Size, buildWarpSphericalMaps, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
GpuMat map_x(size, CV_32FC1);
GpuMat map_y(size, CV_32FC1);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
buildWarpSphericalMaps(size, Rect(0, 0, size.width, size.height), Mat::ones(3, 3, CV_32FC1), 1.0, 1.0, map_x, map_y);
}
Mat map_x_host(map_x);
Mat map_y_host(map_y);
SANITY_CHECK(map_x_host);
SANITY_CHECK(map_y_host);
}
PERF_TEST_P(DevInfo_Size_MatType_Interpolation, rotate, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4),
testing::Values((int)INTER_NEAREST, (int)INTER_LINEAR, (int)INTER_CUBIC)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
int interpolation = std::tr1::get<3>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, type);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
rotate(src, dst, size, 30.0, 0, 0, interpolation);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType, copyMakeBorder, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_32SC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
copyMakeBorder(src, dst, 5, 5, 5, 5);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size, integralBuffered, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_8UC1);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
GpuMat buf;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
integralBuffered(src, dst, buf);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size, integral, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_8UC1);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat sum, sqsum;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
integral(src, sum, sqsum);
}
Mat sum_host(sum);
Mat sqsum_host(sqsum);
SANITY_CHECK(sum_host);
SANITY_CHECK(sqsum_host);
}
PERF_TEST_P(DevInfo_Size, sqrIntegral, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_8UC1);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
sqrIntegral(src, dst);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size, columnSum, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_32FC1);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
columnSum(src, dst);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_MatType, cornerHarris, testing::Combine(testing::ValuesIn(devices()),
testing::Values(CV_8UC1, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
int type = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat img = readImage("gpu/stereobm/aloe-L.png", CV_LOAD_IMAGE_GRAYSCALE);
ASSERT_FALSE(img.empty());
img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);
GpuMat src(img);
GpuMat dst;
GpuMat Dx;
GpuMat Dy;
int blockSize = 3;
int ksize = 7;
double k = 0.5;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
cornerHarris(src, dst, Dx, Dy, blockSize, ksize, k);
}
Mat dst_host(dst);
Mat Dx_host(Dx);
Mat Dy_host(Dy);
SANITY_CHECK(dst_host);
SANITY_CHECK(Dx_host);
SANITY_CHECK(Dy_host);
}
PERF_TEST_P(DevInfo_MatType, cornerMinEigenVal, testing::Combine(testing::ValuesIn(devices()),
testing::Values(CV_8UC1, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
int type = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat img = readImage("gpu/stereobm/aloe-L.png", CV_LOAD_IMAGE_GRAYSCALE);
ASSERT_FALSE(img.empty());
img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);
GpuMat src(img);
GpuMat dst;
GpuMat Dx;
GpuMat Dy;
int blockSize = 3;
int ksize = 7;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
cornerMinEigenVal(src, dst, Dx, Dy, blockSize, ksize);
}
Mat dst_host(dst);
Mat Dx_host(Dx);
Mat Dy_host(Dy);
SANITY_CHECK(dst_host);
SANITY_CHECK(Dx_host);
SANITY_CHECK(Dy_host);
}
PERF_TEST_P(DevInfo_Size_MatType, mulSpectrums, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat a_host(size, CV_32FC2);
Mat b_host(size, CV_32FC2);
declare.in(a_host, b_host, WARMUP_RNG);
GpuMat a(a_host);
GpuMat b(b_host);
GpuMat dst;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
mulSpectrums(a, b, dst, 0);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size, dft, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_32FC2);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
declare.time(2.0).iterations(100);
SIMPLE_TEST_CYCLE()
{
dft(src, dst, size);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size, convolve, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat image_host(size, CV_32FC1);
Mat templ_host(size, CV_32FC1);
declare.in(image_host, templ_host, WARMUP_RNG);
GpuMat image(image_host);
GpuMat templ(templ_host);
GpuMat dst;
ConvolveBuf buf;
declare.time(2.0).iterations(100);
SIMPLE_TEST_CYCLE()
{
convolve(image, templ, dst, false, buf);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType, pyrDown, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_16SC3, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
pyrDown(src, dst);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType, pyrUp, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_16SC3, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
pyrUp(src, dst);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType, blendLinear, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat img1_host(size, type);
Mat img2_host(size, type);
declare.in(img1_host, img2_host, WARMUP_RNG);
GpuMat img1(img1_host);
GpuMat img2(img2_host);
GpuMat weights1(size, CV_32FC1, Scalar::all(0.5));
GpuMat weights2(size, CV_32FC1, Scalar::all(0.5));
GpuMat dst;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
blendLinear(img1, img2, weights1, weights2, dst);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo, Canny, testing::ValuesIn(devices()))
{
DeviceInfo devInfo = GetParam();
setDevice(devInfo.deviceID());
Mat image_host = readImage("gpu/perf/aloe.jpg", CV_LOAD_IMAGE_GRAYSCALE);
ASSERT_FALSE(image_host.empty());
GpuMat image(image_host);
GpuMat dst;
CannyBuf buf;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
Canny(image, buf, dst, 50.0, 100.0);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size, calcHist, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_8UC1);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat hist;
GpuMat buf;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
calcHist(src, hist, buf);
}
Mat hist_host(hist);
SANITY_CHECK(hist_host);
}
PERF_TEST_P(DevInfo_Size, equalizeHist, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, CV_8UC1);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst;
GpuMat hist;
GpuMat buf;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
equalizeHist(src, dst, hist, buf);
}
Mat dst_host(dst);
SANITY_CHECK(dst_host);
}