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most of the performance tests was rewritten in google-test manner

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ilya-lavrenov
2013-08-22 18:03:05 +04:00
parent 6c4ad9b597
commit 4c28a6f0f6
22 changed files with 2817 additions and 2735 deletions
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82
modules/ocl/perf/perf_gftt.cpp
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@@ -46,56 +46,54 @@
#include "perf_precomp.hpp"
using namespace perf;
using std::tr1::tuple;
using std::tr1::get;
///////////// GoodFeaturesToTrack ////////////////////////
PERFTEST(GoodFeaturesToTrack)
typedef tuple<string, double> GoodFeaturesToTrackParams;
typedef TestBaseWithParam<GoodFeaturesToTrackParams> GoodFeaturesToTrackFixture;
PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrack,
::testing::Combine(::testing::Values(string("gpu/opticalflow/rubberwhale1.png"),
string("gpu/stereobm/aloe-L.png")),
::testing::Range(0.0, 4.0, 3.0)))
{
using namespace cv;
std::vector<cv::Point2f> pts_gold;
int maxCorners = 2000;
double qualityLevel = 0.01;
// getting params
GoodFeaturesToTrackParams param = GetParam();
const string fileName = getDataPath(get<0>(param)), impl = getSelectedImpl();
const int maxCorners = 2000;
const double qualityLevel = 0.01, minDistance = get<1>(param);
std::string images[] = { "rubberwhale1.png", "aloeL.jpg" };
Mat frame = imread(fileName, IMREAD_GRAYSCALE);
declare.in(frame);
ASSERT_TRUE(!frame.empty()) << "no input image";
std::vector<cv::Point2f> pts_gold, pts_ocl;
for(size_t imgIdx = 0; imgIdx < (sizeof(images)/sizeof(std::string)); ++imgIdx)
if (impl == "ocl")
{
Mat frame = imread(abspath(images[imgIdx]), IMREAD_GRAYSCALE);
CV_Assert(!frame.empty());
ocl::oclMat oclFrame(frame), pts_oclmat;
cv::ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance);
for(float minDistance = 0; minDistance < 4; minDistance += 3.0)
{
SUBTEST << "image = " << images[imgIdx] << "; ";
SUBTEST << "minDistance = " << minDistance << "; ";
TEST_CYCLE() detector(oclFrame, pts_oclmat);
cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance);
detector.downloadPoints(pts_oclmat, pts_gold);
CPU_ON;
cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance);
CPU_OFF;
cv::ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance);
ocl::oclMat frame_ocl(frame), pts_oclmat;
WARMUP_ON;
detector(frame_ocl, pts_oclmat);
WARMUP_OFF;
detector.downloadPoints(pts_oclmat, pts_ocl);
double diff = abs(static_cast<float>(pts_gold.size() - pts_ocl.size()));
TestSystem::instance().setAccurate(diff == 0.0, diff);
GPU_ON;
detector(frame_ocl, pts_oclmat);
GPU_OFF;
GPU_FULL_ON;
frame_ocl.upload(frame);
detector(frame_ocl, pts_oclmat);
detector.downloadPoints(pts_oclmat, pts_ocl);
GPU_FULL_OFF;
}
SANITY_CHECK(pts_gold);
}
else if (impl == "plain")
{
TEST_CYCLE() cv::goodFeaturesToTrack(frame, pts_gold,
maxCorners, qualityLevel, minDistance);
SANITY_CHECK(pts_gold);
}
#ifdef HAVE_OPENCV_GPU
else if (impl == "gpu")
CV_TEST_FAIL_NO_IMPL();
#endif
else
CV_TEST_FAIL_NO_IMPL();
}