Open Source Computer Vision Library https://opencv.org/
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#include "perf_cpu_precomp.hpp"
#ifdef HAVE_CUDA
//////////////////////////////////////////////////////////////////////
// StereoBM
GPU_PERF_TEST_1(StereoBM, cv::gpu::DeviceInfo)
{
cv::Mat img_l = readImage("gpu/perf/aloe.jpg", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img_l.empty());
cv::Mat img_r = readImage("gpu/perf/aloeR.jpg", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img_r.empty());
cv::StereoBM bm(0, 256);
cv::Mat dst;
bm(img_l, img_r, dst);
declare.time(5.0);
TEST_CYCLE()
{
bm(img_l, img_r, dst);
}
}
INSTANTIATE_TEST_CASE_P(Calib3D, StereoBM, ALL_DEVICES);
//////////////////////////////////////////////////////////////////////
// ProjectPoints
IMPLEMENT_PARAM_CLASS(Count, int)
GPU_PERF_TEST(ProjectPoints, cv::gpu::DeviceInfo, Count)
{
int count = GET_PARAM(1);
cv::Mat src(1, count, CV_32FC3);
fill(src, -100, 100);
cv::Mat rvec = cv::Mat::ones(1, 3, CV_32FC1);
cv::Mat tvec = cv::Mat::ones(1, 3, CV_32FC1);
cv::Mat camera_mat = cv::Mat::ones(3, 3, CV_32FC1);
cv::Mat dst;
cv::projectPoints(src, rvec, tvec, camera_mat, cv::noArray(), dst);
TEST_CYCLE()
{
cv::projectPoints(src, rvec, tvec, camera_mat, cv::noArray(), dst);
}
}
INSTANTIATE_TEST_CASE_P(Calib3D, ProjectPoints, testing::Combine(
ALL_DEVICES,
testing::Values<Count>(5000, 10000, 20000)));
//////////////////////////////////////////////////////////////////////
// SolvePnPRansac
GPU_PERF_TEST(SolvePnPRansac, cv::gpu::DeviceInfo, Count)
{
int count = GET_PARAM(1);
cv::Mat object(1, count, CV_32FC3);
fill(object, -100, 100);
cv::Mat camera_mat(3, 3, CV_32FC1);
fill(camera_mat, 0.5, 1);
camera_mat.at<float>(0, 1) = 0.f;
camera_mat.at<float>(1, 0) = 0.f;
camera_mat.at<float>(2, 0) = 0.f;
camera_mat.at<float>(2, 1) = 0.f;
cv::Mat dist_coef(1, 8, CV_32F, cv::Scalar::all(0));
std::vector<cv::Point2f> image_vec;
cv::Mat rvec_gold(1, 3, CV_32FC1);
fill(rvec_gold, 0, 1);
cv::Mat tvec_gold(1, 3, CV_32FC1);
fill(tvec_gold, 0, 1);
cv::projectPoints(object, rvec_gold, tvec_gold, camera_mat, dist_coef, image_vec);
cv::Mat image(1, count, CV_32FC2, &image_vec[0]);
cv::Mat rvec;
cv::Mat tvec;
cv::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec);
declare.time(10.0);
TEST_CYCLE()
{
cv::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec);
}
}
INSTANTIATE_TEST_CASE_P(Calib3D, SolvePnPRansac, testing::Combine(
ALL_DEVICES,
testing::Values<Count>(5000, 10000, 20000)));
//////////////////////////////////////////////////////////////////////
// ReprojectImageTo3D
GPU_PERF_TEST(ReprojectImageTo3D, cv::gpu::DeviceInfo, cv::Size, MatDepth)
{
cv::Size size = GET_PARAM(1);
int depth = GET_PARAM(2);
cv::Mat src(size, depth);
fill(src, 5.0, 30.0);
cv::Mat Q(4, 4, CV_32FC1);
fill(Q, 0.1, 1.0);
cv::Mat dst;
cv::reprojectImageTo3D(src, dst, Q);
TEST_CYCLE()
{
cv::reprojectImageTo3D(src, dst, Q);
}
}
INSTANTIATE_TEST_CASE_P(Calib3D, ReprojectImageTo3D, testing::Combine(
ALL_DEVICES,
GPU_TYPICAL_MAT_SIZES,
testing::Values<MatDepth>(CV_8U, CV_16S)));
#endif