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fix cudaoptflow tests build

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This commit is contained in:
Vladislav Vinogradov 2014-12-31 15:36:31 +03:00
parent 381216aa54
commit 2dc3b0f7f9
4 changed files with 98 additions and 72 deletions
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79
modules/cudaoptflow/perf/perf_optflow.cpp
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@ -71,13 +71,19 @@ PERF_TEST_P(ImagePair, BroxOpticalFlow,
{
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat u;
cv::cuda::GpuMat v;
cv::cuda::GpuMat flow;
cv::cuda::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
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_flow(d_frame0, d_frame1, u, v);
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);
@ -129,17 +135,17 @@ PERF_TEST_P(ImagePair_Gray_NPts_WinSz_Levels_Iters, PyrLKOpticalFlowSparse,
{
const cv::cuda::GpuMat d_pts(pts.reshape(2, 1));
cv::cuda::PyrLKOpticalFlow d_pyrLK;
d_pyrLK.winSize = cv::Size(winSize, winSize);
d_pyrLK.maxLevel = levels - 1;
d_pyrLK.iters = iters;
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.sparse(d_frame0, d_frame1, d_pts, nextPts, status);
TEST_CYCLE() d_pyrLK->calc(d_frame0, d_frame1, d_pts, nextPts, status);
CUDA_SANITY_CHECK(nextPts);
CUDA_SANITY_CHECK(status);
@ -189,15 +195,20 @@ PERF_TEST_P(ImagePair_WinSz_Levels_Iters, PyrLKOpticalFlowDense,
{
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat u;
cv::cuda::GpuMat v;
cv::cuda::GpuMat flow;
cv::cuda::PyrLKOpticalFlow d_pyrLK;
d_pyrLK.winSize = cv::Size(winSize, winSize);
d_pyrLK.maxLevel = levels - 1;
d_pyrLK.iters = iters;
cv::Ptr<cv::cuda::DensePyrLKOpticalFlow> d_pyrLK =
cv::cuda::DensePyrLKOpticalFlow::create(cv::Size(winSize, winSize),
levels - 1,
iters);
TEST_CYCLE() d_pyrLK.dense(d_frame0, d_frame1, u, v);
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);
@ -234,19 +245,19 @@ PERF_TEST_P(ImagePair, FarnebackOpticalFlow,
{
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat u;
cv::cuda::GpuMat v;
cv::cuda::GpuMat flow;
cv::cuda::FarnebackOpticalFlow d_farneback;
d_farneback.numLevels = numLevels;
d_farneback.pyrScale = pyrScale;
d_farneback.winSize = winSize;
d_farneback.numIters = numIters;
d_farneback.polyN = polyN;
d_farneback.polySigma = polySigma;
d_farneback.flags = flags;
cv::Ptr<cv::cuda::FarnebackOpticalFlow> d_farneback =
cv::cuda::FarnebackOpticalFlow::create(numLevels, pyrScale, false, winSize,
numIters, polyN, polySigma, flags);
TEST_CYCLE() d_farneback(d_frame0, d_frame1, u, v);
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);
@ -279,12 +290,18 @@ PERF_TEST_P(ImagePair, OpticalFlowDual_TVL1,
{
const cv::cuda::GpuMat d_frame0(frame0);
const cv::cuda::GpuMat d_frame1(frame1);
cv::cuda::GpuMat u;
cv::cuda::GpuMat v;
cv::cuda::GpuMat flow;
cv::cuda::OpticalFlowDual_TVL1_CUDA d_alg;
cv::Ptr<cv::cuda::OpticalFlowDual_TVL1> d_alg =
cv::cuda::OpticalFlowDual_TVL1::create();
TEST_CYCLE() d_alg(d_frame0, d_frame1, u, v);
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);

1
modules/cudaoptflow/perf/perf_precomp.hpp
View File

@ -55,6 +55,7 @@
#include "opencv2/ts/cuda_perf.hpp"
#include "opencv2/cudaoptflow.hpp"
#include "opencv2/cudaarithm.hpp"
#include "opencv2/video.hpp"
#ifdef GTEST_CREATE_SHARED_LIBRARY

85
modules/cudaoptflow/test/test_optflow.cpp
View File

@ -71,12 +71,18 @@ CUDA_TEST_P(BroxOpticalFlow, Regression)
cv::Mat frame1 = readImageType("opticalflow/frame1.png", CV_32FC1);
ASSERT_FALSE(frame1.empty());
cv::cuda::BroxOpticalFlow brox(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
cv::Ptr<cv::cuda::BroxOpticalFlow> brox =
cv::cuda::BroxOpticalFlow::create(0.197 /*alpha*/, 50.0 /*gamma*/, 0.8 /*scale_factor*/,
10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
cv::cuda::GpuMat u;
cv::cuda::GpuMat v;
brox(loadMat(frame0), loadMat(frame1), u, v);
cv::cuda::GpuMat flow;
brox->calc(loadMat(frame0), loadMat(frame1), flow);
cv::cuda::GpuMat flows[2];
cv::cuda::split(flow, flows);
cv::cuda::GpuMat u = flows[0];
cv::cuda::GpuMat v = flows[1];
std::string fname(cvtest::TS::ptr()->get_data_path());
if (devInfo.majorVersion() >= 2)
@ -133,12 +139,18 @@ CUDA_TEST_P(BroxOpticalFlow, OpticalFlowNan)
cv::resize(frame0, r_frame0, cv::Size(1380,1000));
cv::resize(frame1, r_frame1, cv::Size(1380,1000));
cv::cuda::BroxOpticalFlow brox(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
5 /*inner_iterations*/, 150 /*outer_iterations*/, 10 /*solver_iterations*/);
cv::Ptr<cv::cuda::BroxOpticalFlow> brox =
cv::cuda::BroxOpticalFlow::create(0.197 /*alpha*/, 50.0 /*gamma*/, 0.8 /*scale_factor*/,
10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
cv::cuda::GpuMat u;
cv::cuda::GpuMat v;
brox(loadMat(r_frame0), loadMat(r_frame1), u, v);
cv::cuda::GpuMat flow;
brox->calc(loadMat(frame0), loadMat(frame1), flow);
cv::cuda::GpuMat flows[2];
cv::cuda::split(flow, flows);
cv::cuda::GpuMat u = flows[0];
cv::cuda::GpuMat v = flows[1];
cv::Mat h_u, h_v;
u.download(h_u);
@ -193,11 +205,12 @@ CUDA_TEST_P(PyrLKOpticalFlow, Sparse)
cv::Mat pts_mat(1, (int) pts.size(), CV_32FC2, (void*) &pts[0]);
d_pts.upload(pts_mat);
cv::cuda::PyrLKOpticalFlow pyrLK;
cv::Ptr<cv::cuda::SparsePyrLKOpticalFlow> pyrLK =
cv::cuda::SparsePyrLKOpticalFlow::create();
cv::cuda::GpuMat d_nextPts;
cv::cuda::GpuMat d_status;
pyrLK.sparse(loadMat(frame0), loadMat(frame1), d_pts, d_nextPts, d_status);
pyrLK->calc(loadMat(frame0), loadMat(frame1), d_pts, d_nextPts, d_status);
std::vector<cv::Point2f> nextPts(d_nextPts.cols);
cv::Mat nextPts_mat(1, d_nextPts.cols, CV_32FC2, (void*) &nextPts[0]);
@ -285,34 +298,30 @@ CUDA_TEST_P(FarnebackOpticalFlow, Accuracy)
double polySigma = polyN <= 5 ? 1.1 : 1.5;
cv::cuda::FarnebackOpticalFlow farn;
farn.pyrScale = pyrScale;
farn.polyN = polyN;
farn.polySigma = polySigma;
farn.flags = flags;
cv::Ptr<cv::cuda::FarnebackOpticalFlow> farn =
cv::cuda::FarnebackOpticalFlow::create();
farn->setPyrScale(pyrScale);
farn->setPolyN(polyN);
farn->setPolySigma(polySigma);
farn->setFlags(flags);
cv::cuda::GpuMat d_flowx, d_flowy;
farn(loadMat(frame0), loadMat(frame1), d_flowx, d_flowy);
cv::cuda::GpuMat d_flow;
farn->calc(loadMat(frame0), loadMat(frame1), d_flow);
cv::Mat flow;
if (useInitFlow)
{
cv::Mat flowxy[] = {cv::Mat(d_flowx), cv::Mat(d_flowy)};
cv::merge(flowxy, 2, flow);
d_flow.download(flow);
farn.flags |= cv::OPTFLOW_USE_INITIAL_FLOW;
farn(loadMat(frame0), loadMat(frame1), d_flowx, d_flowy);
farn->setFlags(farn->getFlags() | cv::OPTFLOW_USE_INITIAL_FLOW);
farn->calc(loadMat(frame0), loadMat(frame1), d_flow);
}
cv::calcOpticalFlowFarneback(
frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize,
farn.numIters, farn.polyN, farn.polySigma, farn.flags);
frame0, frame1, flow, farn->getPyrScale(), farn->getNumLevels(), farn->getWinSize(),
farn->getNumIters(), farn->getPolyN(), farn->getPolySigma(), farn->getFlags());
std::vector<cv::Mat> flowxy;
cv::split(flow, flowxy);
EXPECT_MAT_SIMILAR(flowxy[0], d_flowx, 0.1);
EXPECT_MAT_SIMILAR(flowxy[1], d_flowy, 0.1);
EXPECT_MAT_SIMILAR(flow, d_flow, 0.1);
}
INSTANTIATE_TEST_CASE_P(CUDA_OptFlow, FarnebackOpticalFlow, testing::Combine(
@ -352,26 +361,24 @@ CUDA_TEST_P(OpticalFlowDual_TVL1, Accuracy)
cv::Mat frame1 = readImage("opticalflow/rubberwhale2.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty());
cv::cuda::OpticalFlowDual_TVL1_CUDA d_alg;
d_alg.iterations = 10;
d_alg.gamma = gamma;
cv::Ptr<cv::cuda::OpticalFlowDual_TVL1> d_alg =
cv::cuda::OpticalFlowDual_TVL1::create();
d_alg->setNumIterations(10);
d_alg->setGamma(gamma);
cv::cuda::GpuMat d_flowx, d_flowy;
d_alg(loadMat(frame0), loadMat(frame1), d_flowx, d_flowy);
cv::cuda::GpuMat d_flow;
d_alg->calc(loadMat(frame0), loadMat(frame1), d_flow);
cv::Ptr<cv::DenseOpticalFlow> alg = cv::createOptFlow_DualTVL1();
alg->set("medianFiltering", 1);
alg->set("innerIterations", 1);
alg->set("outerIterations", d_alg.iterations);
alg->set("outerIterations", d_alg->getNumIterations());
alg->set("gamma", gamma);
cv::Mat flow;
alg->calc(frame0, frame1, flow);
cv::Mat gold[2];
cv::split(flow, gold);
EXPECT_MAT_SIMILAR(gold[0], d_flowx, 4e-3);
EXPECT_MAT_SIMILAR(gold[1], d_flowy, 4e-3);
EXPECT_MAT_SIMILAR(flow, d_flow, 4e-3);
}
INSTANTIATE_TEST_CASE_P(CUDA_OptFlow, OpticalFlowDual_TVL1, testing::Combine(

1
modules/cudaoptflow/test/test_precomp.hpp
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@ -57,6 +57,7 @@
#include "opencv2/ts/cuda_test.hpp"
#include "opencv2/cudaoptflow.hpp"
#include "opencv2/cudaarithm.hpp"
#include "opencv2/video.hpp"
#include "cvconfig.h"