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the code was refactored and old test system code was removed

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This commit is contained in:
ilya-lavrenov
2013-08-23 18:38:31 +04:00
parent 4c28a6f0f6
commit d02ccc9590
23 changed files with 547 additions and 2286 deletions
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318
modules/ocl/perf/perf_opticalflow.cpp
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@@ -70,25 +70,25 @@ typedef tuple<int, tuple<string, string, LoadMode> > PyrLKOpticalFlowParamType;
typedef TestBaseWithParam<PyrLKOpticalFlowParamType> PyrLKOpticalFlowFixture;
PERF_TEST_P(PyrLKOpticalFlowFixture,
PyrLKOpticalFlow,
DISABLED_PyrLKOpticalFlow,
::testing::Combine(
::testing::Values(1000, 2000, 4000),
::testing::Values(
make_tuple<string, string, LoadMode>
(
string("gpu/opticalflow/rubberwhale1.png"),
string("gpu/opticalflow/rubberwhale1.png"),
string("gpu/opticalflow/rubberwhale2.png"),
LoadMode(IMREAD_COLOR)
)
// , make_tuple<string, string, LoadMode>
// (
// string("gpu/stereobm/aloe-L.png"),
// string("gpu/stereobm/aloe-R.png"),
// LoadMode(IMREAD_GRAYSCALE)
// )
, make_tuple<string, string, LoadMode>
(
string("gpu/stereobm/aloe-L.png"),
string("gpu/stereobm/aloe-R.png"),
LoadMode(IMREAD_GRAYSCALE)
)
)
)
)
) // TODO to big difference between implementations
{
PyrLKOpticalFlowParamType params = GetParam();
tuple<string, string, LoadMode> fileParam = get<1>(params);
@@ -97,7 +97,6 @@ PERF_TEST_P(PyrLKOpticalFlowFixture,
const string fileName0 = get<0>(fileParam), fileName1 = get<1>(fileParam);
Mat frame0 = imread(getDataPath(fileName0), openMode);
Mat frame1 = imread(getDataPath(fileName1), openMode);
const string impl = getSelectedImpl();
ASSERT_FALSE(frame0.empty()) << "can't load " << fileName0;
ASSERT_FALSE(frame1.empty()) << "can't load " << fileName1;
@@ -108,14 +107,12 @@ PERF_TEST_P(PyrLKOpticalFlowFixture,
else
grayFrame = frame0;
// initialization
vector<Point2f> pts, nextPts;
vector<unsigned char> status;
vector<float> err;
goodFeaturesToTrack(grayFrame, pts, pointsCount, 0.01, 0.0);
// selecting implementation
if (impl == "plain")
if (RUN_PLAIN_IMPL)
{
TEST_CYCLE()
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, err);
@@ -124,7 +121,7 @@ PERF_TEST_P(PyrLKOpticalFlowFixture,
SANITY_CHECK(status);
SANITY_CHECK(err);
}
else if (impl == "ocl")
else if (RUN_OCL_IMPL)
{
ocl::PyrLKOpticalFlow oclPyrLK;
ocl::oclMat oclFrame0(frame0), oclFrame1(frame1);
@@ -142,228 +139,135 @@ PERF_TEST_P(PyrLKOpticalFlowFixture,
SANITY_CHECK(status);
SANITY_CHECK(err);
}
#ifdef HAVE_OPENCV_GPU
else if (impl == "gpu")
CV_TEST_FAIL_NO_IMPL();
#endif
else
CV_TEST_FAIL_NO_IMPL();
// size_t mismatch = 0;
// for (int i = 0; i < (int)nextPts.size(); ++i)
// {
// if(status[i] != ocl_status.at<unsigned char>(0, i))
// {
// mismatch++;
// continue;
// }
// if(status[i])
// {
// Point2f gpu_rst = ocl_nextPts.at<Point2f>(0, i);
// Point2f cpu_rst = nextPts[i];
// if(fabs(gpu_rst.x - cpu_rst.x) >= 1. || fabs(gpu_rst.y - cpu_rst.y) >= 1.)
// mismatch++;
// }
// }
// double ratio = (double)mismatch / (double)nextPts.size();
// if(ratio < .02)
// TestSystem::instance().setAccurate(1, ratio);
// else
// TestSystem::instance().setAccurate(0, ratio);
OCL_PERF_ELSE
}
PERFTEST(tvl1flow)
PERF_TEST(tvl1flowFixture, tvl1flow)
{
cv::Mat frame0 = imread("rubberwhale1.png", cv::IMREAD_GRAYSCALE);
assert(!frame0.empty());
Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png";
cv::Mat frame1 = imread("rubberwhale2.png", cv::IMREAD_GRAYSCALE);
assert(!frame1.empty());
Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png";
cv::ocl::OpticalFlowDual_TVL1_OCL d_alg;
cv::ocl::oclMat d_flowx(frame0.size(), CV_32FC1);
cv::ocl::oclMat d_flowy(frame1.size(), CV_32FC1);
const Size srcSize = frame0.size();
const double eps = 1.2;
Mat flow(srcSize, CV_32FC2), flow1(srcSize, CV_32FC1), flow2(srcSize, CV_32FC1);
declare.in(frame0, frame1).out(flow1, flow2).time(159);
cv::Ptr<cv::DenseOpticalFlow> alg = cv::createOptFlow_DualTVL1();
cv::Mat flow;
if (RUN_PLAIN_IMPL)
{
Ptr<DenseOpticalFlow> alg = createOptFlow_DualTVL1();
TEST_CYCLE() alg->calc(frame0, frame1, flow);
SUBTEST << frame0.cols << 'x' << frame0.rows << "; rubberwhale1.png; "<<frame1.cols<<'x'<<frame1.rows<<"; rubberwhale2.png";
alg->collectGarbage();
Mat flows[2] = { flow1, flow2 };
split(flow, flows);
alg->calc(frame0, frame1, flow);
SANITY_CHECK(flow1, eps);
SANITY_CHECK(flow2, eps);
}
else if (RUN_OCL_IMPL)
{
ocl::OpticalFlowDual_TVL1_OCL oclAlg;
ocl::oclMat oclFrame0(frame0), oclFrame1(frame1), oclFlow1(srcSize, CV_32FC1),
oclFlow2(srcSize, CV_32FC1);
CPU_ON;
alg->calc(frame0, frame1, flow);
CPU_OFF;
TEST_CYCLE() oclAlg(oclFrame0, oclFrame1, oclFlow1, oclFlow2);
cv::Mat gold[2];
cv::split(flow, gold);
oclAlg.collectGarbage();
cv::ocl::oclMat d0(frame0.size(), CV_32FC1);
d0.upload(frame0);
cv::ocl::oclMat d1(frame1.size(), CV_32FC1);
d1.upload(frame1);
oclFlow1.download(flow1);
oclFlow2.download(flow2);
WARMUP_ON;
d_alg(d0, d1, d_flowx, d_flowy);
WARMUP_OFF;
/*
double diff1 = 0.0, diff2 = 0.0;
if(ExceptedMatSimilar(gold[0], cv::Mat(d_flowx), 3e-3, diff1) == 1
&&ExceptedMatSimilar(gold[1], cv::Mat(d_flowy), 3e-3, diff2) == 1)
TestSystem::instance().setAccurate(1);
else
TestSystem::instance().setAccurate(0);
TestSystem::instance().setDiff(diff1);
TestSystem::instance().setDiff(diff2);
*/
GPU_ON;
d_alg(d0, d1, d_flowx, d_flowy);
d_alg.collectGarbage();
GPU_OFF;
cv::Mat flowx, flowy;
GPU_FULL_ON;
d0.upload(frame0);
d1.upload(frame1);
d_alg(d0, d1, d_flowx, d_flowy);
d_alg.collectGarbage();
d_flowx.download(flowx);
d_flowy.download(flowy);
GPU_FULL_OFF;
TestSystem::instance().ExceptedMatSimilar(gold[0], flowx, 3e-3);
TestSystem::instance().ExceptedMatSimilar(gold[1], flowy, 3e-3);
SANITY_CHECK(flow1, eps);
SANITY_CHECK(flow2, eps);
}
else
OCL_PERF_ELSE
}
///////////// FarnebackOpticalFlow ////////////////////////
PERFTEST(FarnebackOpticalFlow)
CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
typedef tuple<tuple<int, double>, farneFlagType, bool> FarnebackOpticalFlowParams;
typedef TestBaseWithParam<FarnebackOpticalFlowParams> FarnebackOpticalFlowFixture;
PERF_TEST_P(FarnebackOpticalFlowFixture, FarnebackOpticalFlow,
::testing::Combine(
::testing::Values(make_tuple<int, double>(5, 1.1),
make_tuple<int, double>(7, 1.5)),
farneFlagType::all(),
::testing::Bool()))
{
cv::Mat frame0 = imread("rubberwhale1.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty());
Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png";
cv::Mat frame1 = imread("rubberwhale2.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty());
Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png";
cv::ocl::oclMat d_frame0(frame0), d_frame1(frame1);
const Size srcSize = frame0.size();
int polyNs[2] = { 5, 7 };
double polySigmas[2] = { 1.1, 1.5 };
int farneFlags[2] = { 0, cv::OPTFLOW_FARNEBACK_GAUSSIAN };
bool UseInitFlows[2] = { false, true };
double pyrScale = 0.5;
const FarnebackOpticalFlowParams params = GetParam();
const tuple<int, double> polyParams = get<0>(params);
const int polyN = get<0>(polyParams), flags = get<1>(params);
const double polySigma = get<1>(polyParams), pyrScale = 0.5;
const bool useInitFlow = get<2>(params);
const double eps = 1.5;
string farneFlagStrs[2] = { "BoxFilter", "GaussianBlur" };
string useInitFlowStrs[2] = { "", "UseInitFlow" };
Mat flowx(srcSize, CV_32FC1), flowy(srcSize, CV_32FC1), flow(srcSize, CV_32FC2);
declare.in(frame0, frame1).out(flowx, flowy);
for ( int i = 0; i < 2; ++i)
ocl::FarnebackOpticalFlow farn;
farn.pyrScale = pyrScale;
farn.polyN = polyN;
farn.polySigma = polySigma;
farn.flags = flags;
if (RUN_PLAIN_IMPL)
{
int polyN = polyNs[i];
double polySigma = polySigmas[i];
for ( int j = 0; j < 2; ++j)
if (useInitFlow)
{
int flags = farneFlags[j];
calcOpticalFlowFarneback(
frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize,
farn.numIters, farn.polyN, farn.polySigma, farn.flags);
farn.flags |= OPTFLOW_USE_INITIAL_FLOW;
}
for ( int k = 0; k < 2; ++k)
{
bool useInitFlow = UseInitFlows[k];
SUBTEST << "polyN(" << polyN << "); " << farneFlagStrs[j] << "; " << useInitFlowStrs[k];
cv::ocl::FarnebackOpticalFlow farn;
farn.pyrScale = pyrScale;
farn.polyN = polyN;
farn.polySigma = polySigma;
farn.flags = flags;
cv::ocl::oclMat d_flowx, d_flowy;
cv::Mat flow, flowBuf, flowxBuf, flowyBuf;
WARMUP_ON;
farn(d_frame0, d_frame1, d_flowx, d_flowy);
if (useInitFlow)
{
cv::Mat flowxy[] = {cv::Mat(d_flowx), cv::Mat(d_flowy)};
cv::merge(flowxy, 2, flow);
flow.copyTo(flowBuf);
flowxy[0].copyTo(flowxBuf);
flowxy[1].copyTo(flowyBuf);
farn.flags |= cv::OPTFLOW_USE_INITIAL_FLOW;
farn(d_frame0, d_frame1, d_flowx, d_flowy);
}
WARMUP_OFF;
cv::calcOpticalFlowFarneback(
TEST_CYCLE()
calcOpticalFlowFarneback(
frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize,
farn.numIters, farn.polyN, farn.polySigma, farn.flags);
std::vector<cv::Mat> flowxy;
cv::split(flow, flowxy);
Mat flowxy[2] = { flowx, flowy };
split(flow, flowxy);
Mat md_flowx = cv::Mat(d_flowx);
Mat md_flowy = cv::Mat(d_flowy);
TestSystem::instance().ExceptedMatSimilar(flowxy[0], md_flowx, 0.1);
TestSystem::instance().ExceptedMatSimilar(flowxy[1], md_flowy, 0.1);
if (useInitFlow)
{
cv::Mat flowx, flowy;
farn.flags = (flags | cv::OPTFLOW_USE_INITIAL_FLOW);
CPU_ON;
cv::calcOpticalFlowFarneback(
frame0, frame1, flowBuf, farn.pyrScale, farn.numLevels, farn.winSize,
farn.numIters, farn.polyN, farn.polySigma, farn.flags);
CPU_OFF;
GPU_ON;
farn(d_frame0, d_frame1, d_flowx, d_flowy);
GPU_OFF;
GPU_FULL_ON;
d_frame0.upload(frame0);
d_frame1.upload(frame1);
d_flowx.upload(flowxBuf);
d_flowy.upload(flowyBuf);
farn(d_frame0, d_frame1, d_flowx, d_flowy);
d_flowx.download(flowx);
d_flowy.download(flowy);
GPU_FULL_OFF;
}
else
{
cv::Mat flow, flowx, flowy;
cv::ocl::oclMat d_flowx, d_flowy;
farn.flags = flags;
CPU_ON;
cv::calcOpticalFlowFarneback(
frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize,
farn.numIters, farn.polyN, farn.polySigma, farn.flags);
CPU_OFF;
GPU_ON;
farn(d_frame0, d_frame1, d_flowx, d_flowy);
GPU_OFF;
GPU_FULL_ON;
d_frame0.upload(frame0);
d_frame1.upload(frame1);
farn(d_frame0, d_frame1, d_flowx, d_flowy);
d_flowx.download(flowx);
d_flowy.download(flowy);
GPU_FULL_OFF;
}
}
}
SANITY_CHECK(flowx, eps);
SANITY_CHECK(flowy, eps);
}
else if (RUN_OCL_IMPL)
{
ocl::oclMat oclFrame0(frame0), oclFrame1(frame1),
oclFlowx(srcSize, CV_32FC1), oclFlowy(srcSize, CV_32FC1);
if (useInitFlow)
{
farn(oclFrame0, oclFrame1, oclFlowx, oclFlowy);
farn.flags |= OPTFLOW_USE_INITIAL_FLOW;
}
TEST_CYCLE()
farn(oclFrame0, oclFrame1, oclFlowx, oclFlowy);
oclFlowx.download(flowx);
oclFlowy.download(flowy);
SANITY_CHECK(flowx, eps);
SANITY_CHECK(flowy, eps);
}
else
OCL_PERF_ELSE
}