Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace testing;
namespace {
//////////////////////////////////////////////////////////////////////
// StereoBM
typedef pair<string, string> pair_string;
DEF_PARAM_TEST_1(ImagePair, pair_string);
PERF_TEST_P(ImagePair, Calib3D_StereoBM, Values(make_pair<string, string>("gpu/perf/aloe.jpg", "gpu/perf/aloeR.jpg")))
{
declare.time(5.0);
const cv::Mat imgLeft = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(imgLeft.empty());
const cv::Mat imgRight = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(imgRight.empty());
const int preset = 0;
const int ndisp = 256;
if (runOnGpu)
{
cv::gpu::StereoBM_GPU d_bm(preset, ndisp);
cv::gpu::GpuMat d_imgLeft(imgLeft);
cv::gpu::GpuMat d_imgRight(imgRight);
cv::gpu::GpuMat d_dst;
d_bm(d_imgLeft, d_imgRight, d_dst);
TEST_CYCLE()
{
d_bm(d_imgLeft, d_imgRight, d_dst);
}
}
else
{
cv::StereoBM bm(preset, ndisp);
cv::Mat dst;
bm(imgLeft, imgRight, dst);
TEST_CYCLE()
{
bm(imgLeft, imgRight, dst);
}
}
}
//////////////////////////////////////////////////////////////////////
// StereoBeliefPropagation
PERF_TEST_P(ImagePair, Calib3D_StereoBeliefPropagation, Values(make_pair<string, string>("gpu/stereobp/aloe-L.png", "gpu/stereobp/aloe-R.png")))
{
declare.time(10.0);
const cv::Mat imgLeft = readImage(GetParam().first);
ASSERT_FALSE(imgLeft.empty());
const cv::Mat imgRight = readImage(GetParam().second);
ASSERT_FALSE(imgRight.empty());
const int ndisp = 64;
if (runOnGpu)
{
cv::gpu::StereoBeliefPropagation d_bp(ndisp);
cv::gpu::GpuMat d_imgLeft(imgLeft);
cv::gpu::GpuMat d_imgRight(imgRight);
cv::gpu::GpuMat d_dst;
d_bp(d_imgLeft, d_imgRight, d_dst);
TEST_CYCLE()
{
d_bp(d_imgLeft, d_imgRight, d_dst);
}
}
else
{
FAIL();
}
}
//////////////////////////////////////////////////////////////////////
// StereoConstantSpaceBP
PERF_TEST_P(ImagePair, Calib3D_StereoConstantSpaceBP, Values(make_pair<string, string>("gpu/stereobm/aloe-L.png", "gpu/stereobm/aloe-R.png")))
{
declare.time(10.0);
const cv::Mat imgLeft = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(imgLeft.empty());
const cv::Mat imgRight = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(imgRight.empty());
const int ndisp = 128;
if (runOnGpu)
{
cv::gpu::StereoConstantSpaceBP d_csbp(ndisp);
cv::gpu::GpuMat d_imgLeft(imgLeft);
cv::gpu::GpuMat d_imgRight(imgRight);
cv::gpu::GpuMat d_dst;
d_csbp(d_imgLeft, d_imgRight, d_dst);
TEST_CYCLE()
{
d_csbp(d_imgLeft, d_imgRight, d_dst);
}
}
else
{
FAIL();
}
}
//////////////////////////////////////////////////////////////////////
// DisparityBilateralFilter
PERF_TEST_P(ImagePair, Calib3D_DisparityBilateralFilter, Values(make_pair<string, string>("gpu/stereobm/aloe-L.png", "gpu/stereobm/aloe-disp.png")))
{
const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
const cv::Mat disp = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(disp.empty());
const int ndisp = 128;
if (runOnGpu)
{
cv::gpu::DisparityBilateralFilter d_filter(ndisp);
cv::gpu::GpuMat d_img(img);
cv::gpu::GpuMat d_disp(disp);
cv::gpu::GpuMat d_dst;
d_filter(d_disp, d_img, d_dst);
TEST_CYCLE()
{
d_filter(d_disp, d_img, d_dst);
}
}
else
{
FAIL();
}
}
//////////////////////////////////////////////////////////////////////
// TransformPoints
DEF_PARAM_TEST_1(Count, int);
PERF_TEST_P(Count, Calib3D_TransformPoints, Values(5000, 10000, 20000))
{
const int count = GetParam();
cv::Mat src(1, count, CV_32FC3);
fillRandom(src, -100, 100);
const cv::Mat rvec = cv::Mat::ones(1, 3, CV_32FC1);
const cv::Mat tvec = cv::Mat::ones(1, 3, CV_32FC1);
if (runOnGpu)
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::transformPoints(d_src, rvec, tvec, d_dst);
TEST_CYCLE()
{
cv::gpu::transformPoints(d_src, rvec, tvec, d_dst);
}
}
else
{
FAIL();
}
}
//////////////////////////////////////////////////////////////////////
// ProjectPoints
PERF_TEST_P(Count, Calib3D_ProjectPoints, Values(5000, 10000, 20000))
{
const int count = GetParam();
cv::Mat src(1, count, CV_32FC3);
fillRandom(src, -100, 100);
const cv::Mat rvec = cv::Mat::ones(1, 3, CV_32FC1);
const cv::Mat tvec = cv::Mat::ones(1, 3, CV_32FC1);
const cv::Mat camera_mat = cv::Mat::ones(3, 3, CV_32FC1);
if (runOnGpu)
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::projectPoints(d_src, rvec, tvec, camera_mat, cv::Mat(), d_dst);
TEST_CYCLE()
{
cv::gpu::projectPoints(d_src, rvec, tvec, camera_mat, cv::Mat(), d_dst);
}
}
else
{
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);
}
}
}
//////////////////////////////////////////////////////////////////////
// SolvePnPRansac
PERF_TEST_P(Count, Calib3D_SolvePnPRansac, Values(5000, 10000, 20000))
{
declare.time(10.0);
const int count = GetParam();
cv::Mat object(1, count, CV_32FC3);
fillRandom(object, -100, 100);
cv::Mat camera_mat(3, 3, CV_32FC1);
fillRandom(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;
const 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);
fillRandom(rvec_gold, 0, 1);
cv::Mat tvec_gold(1, 3, CV_32FC1);
fillRandom(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;
if (runOnGpu)
{
cv::gpu::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec);
TEST_CYCLE()
{
cv::gpu::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec);
}
}
else
{
cv::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec);
TEST_CYCLE()
{
cv::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec);
}
}
}
//////////////////////////////////////////////////////////////////////
// ReprojectImageTo3D
PERF_TEST_P(Sz_Depth, Calib3D_ReprojectImageTo3D, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16S)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
fillRandom(src, 5.0, 30.0);
cv::Mat Q(4, 4, CV_32FC1);
fillRandom(Q, 0.1, 1.0);
if (runOnGpu)
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::reprojectImageTo3D(d_src, d_dst, Q);
TEST_CYCLE()
{
cv::gpu::reprojectImageTo3D(d_src, d_dst, Q);
}
}
else
{
cv::Mat dst;
cv::reprojectImageTo3D(src, dst, Q);
TEST_CYCLE()
{
cv::reprojectImageTo3D(src, dst, Q);
}
}
}
//////////////////////////////////////////////////////////////////////
// DrawColorDisp
PERF_TEST_P(Sz_Depth, Calib3D_DrawColorDisp, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16S)))
{
const cv::Size size = GET_PARAM(0);
const int type = GET_PARAM(1);
cv::Mat src(size, type);
fillRandom(src, 0, 255);
if (runOnGpu)
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::drawColorDisp(d_src, d_dst, 255);
TEST_CYCLE()
{
cv::gpu::drawColorDisp(d_src, d_dst, 255);
}
}
else
{
FAIL();
}
}
} // namespace