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#include "perf_precomp.hpp"
using namespace std;
using namespace testing;
using namespace perf;
typedef pair<string, string> pair_string;
DEF_PARAM_TEST_1(ImagePair, pair_string);
//////////////////////////////////////////////////////
// BroxOpticalFlow
PERF_TEST_P(ImagePair, BroxOpticalFlow,
Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")))
{
declare.time(300);
cv::Mat frame0 = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty());
cv::Mat frame1 = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty());
frame0.convertTo(frame0, CV_32FC1, 1.0 / 255.0);
frame1.convertTo(frame1, CV_32FC1, 1.0 / 255.0);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat flow;
cv::Ptr<cv::cuda::BroxOpticalFlow> d_alg =
cv::cuda::BroxOpticalFlow::create(0.197 /*alpha*/, 50.0 /*gamma*/, 0.8 /*scale_factor*/,
10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
TEST_CYCLE() d_alg->calc(d_frame0, d_frame1, flow);
cv::cuda::GpuMat flows[2];
cv::cuda::split(flow, flows);
cv::cuda::GpuMat u = flows[0];
cv::cuda::GpuMat v = flows[1];
CUDA_SANITY_CHECK(u, 1e-1);
CUDA_SANITY_CHECK(v, 1e-1);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////
// PyrLKOpticalFlowSparse
DEF_PARAM_TEST(ImagePair_Gray_NPts_WinSz_Levels_Iters, pair_string, bool, int, int, int, int);
PERF_TEST_P(ImagePair_Gray_NPts_WinSz_Levels_Iters, PyrLKOpticalFlowSparse,
Combine(Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")),
Bool(),
Values(8000),
Values(21),
Values(1, 3),
Values(1, 30)))
{
declare.time(20.0);
const pair_string imagePair = GET_PARAM(0);
const bool useGray = GET_PARAM(1);
const int points = GET_PARAM(2);
const int winSize = GET_PARAM(3);
const int levels = GET_PARAM(4);
const int iters = GET_PARAM(5);
const cv::Mat frame0 = readImage(imagePair.first, useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
ASSERT_FALSE(frame0.empty());
const cv::Mat frame1 = readImage(imagePair.second, useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
ASSERT_FALSE(frame1.empty());
cv::Mat gray_frame;
if (useGray)
gray_frame = frame0;
else
cv::cvtColor(frame0, gray_frame, cv::COLOR_BGR2GRAY);
cv::Mat pts;
cv::goodFeaturesToTrack(gray_frame, pts, points, 0.01, 0.0);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_pts(pts.reshape(2, 1));
cv::Ptr<cv::cuda::SparsePyrLKOpticalFlow> d_pyrLK =
cv::cuda::SparsePyrLKOpticalFlow::create(cv::Size(winSize, winSize),
levels - 1,
iters);
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat nextPts;
cv::cuda::GpuMat status;
TEST_CYCLE() d_pyrLK->calc(d_frame0, d_frame1, d_pts, nextPts, status);
CUDA_SANITY_CHECK(nextPts);
CUDA_SANITY_CHECK(status);
}
else
{
cv::Mat nextPts;
cv::Mat status;
TEST_CYCLE()
{
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, cv::noArray(),
cv::Size(winSize, winSize), levels - 1,
cv::TermCriteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, iters, 0.01));
}
CPU_SANITY_CHECK(nextPts);
CPU_SANITY_CHECK(status);
}
}
//////////////////////////////////////////////////////
// PyrLKOpticalFlowDense
DEF_PARAM_TEST(ImagePair_WinSz_Levels_Iters, pair_string, int, int, int);
PERF_TEST_P(ImagePair_WinSz_Levels_Iters, PyrLKOpticalFlowDense,
Combine(Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")),
Values(3, 5, 7, 9, 13, 17, 21),
Values(1, 3),
Values(1, 10)))
{
declare.time(30);
const pair_string imagePair = GET_PARAM(0);
const int winSize = GET_PARAM(1);
const int levels = GET_PARAM(2);
const int iters = GET_PARAM(3);
const cv::Mat frame0 = readImage(imagePair.first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty());
const cv::Mat frame1 = readImage(imagePair.second, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty());
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat flow;
cv::Ptr<cv::cuda::DensePyrLKOpticalFlow> d_pyrLK =
cv::cuda::DensePyrLKOpticalFlow::create(cv::Size(winSize, winSize),
levels - 1,
iters);
TEST_CYCLE() d_pyrLK->calc(d_frame0, d_frame1, flow);
cv::cuda::GpuMat flows[2];
cv::cuda::split(flow, flows);
cv::cuda::GpuMat u = flows[0];
cv::cuda::GpuMat v = flows[1];
CUDA_SANITY_CHECK(u);
CUDA_SANITY_CHECK(v);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////
// FarnebackOpticalFlow
PERF_TEST_P(ImagePair, FarnebackOpticalFlow,
Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")))
{
declare.time(10);
const cv::Mat frame0 = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty());
const cv::Mat frame1 = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty());
const int numLevels = 5;
const double pyrScale = 0.5;
const int winSize = 13;
const int numIters = 10;
const int polyN = 5;
const double polySigma = 1.1;
const int flags = 0;
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat flow;
cv::Ptr<cv::cuda::FarnebackOpticalFlow> d_farneback =
cv::cuda::FarnebackOpticalFlow::create(numLevels, pyrScale, false, winSize,
numIters, polyN, polySigma, flags);
TEST_CYCLE() d_farneback->calc(d_frame0, d_frame1, flow);
cv::cuda::GpuMat flows[2];
cv::cuda::split(flow, flows);
cv::cuda::GpuMat u = flows[0];
cv::cuda::GpuMat v = flows[1];
CUDA_SANITY_CHECK(u, 1e-4);
CUDA_SANITY_CHECK(v, 1e-4);
}
else
{
cv::Mat flow;
TEST_CYCLE() cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
CPU_SANITY_CHECK(flow);
}
}
//////////////////////////////////////////////////////
// OpticalFlowDual_TVL1
PERF_TEST_P(ImagePair, OpticalFlowDual_TVL1,
Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")))
{
declare.time(20);
const cv::Mat frame0 = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty());
const cv::Mat frame1 = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty());
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat flow;
cv::Ptr<cv::cuda::OpticalFlowDual_TVL1> d_alg =
cv::cuda::OpticalFlowDual_TVL1::create();
TEST_CYCLE() d_alg->calc(d_frame0, d_frame1, flow);
cv::cuda::GpuMat flows[2];
cv::cuda::split(flow, flows);
cv::cuda::GpuMat u = flows[0];
cv::cuda::GpuMat v = flows[1];
CUDA_SANITY_CHECK(u, 1e-1);
CUDA_SANITY_CHECK(v, 1e-1);
}
else
{
cv::Mat flow;
cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1();
alg->setMedianFiltering(1);
alg->setInnerIterations(1);
alg->setOuterIterations(300);
TEST_CYCLE() alg->calc(frame0, frame1, flow);
CPU_SANITY_CHECK(flow);
}
}