opencv/modules/ocl/perf/perf_gftt.cpp
2013-07-15 16:27:27 +08:00

102 lines
3.9 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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// @Authors
// Peng Xiao, pengxiao@outlook.com
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#include "precomp.hpp"
///////////// GoodFeaturesToTrack ////////////////////////
PERFTEST(GoodFeaturesToTrack)
{
using namespace cv;
int maxCorners = 2000;
double qualityLevel = 0.01;
std::string images[] = { "rubberwhale1.png", "aloeL.jpg" };
std::vector<cv::Point2f> pts_gold, pts_ocl;
for(int imgIdx = 0; imgIdx < sizeof(images)/sizeof(std::string); ++imgIdx)
{
Mat frame = imread(abspath(images[imgIdx]), IMREAD_GRAYSCALE);
CV_Assert(!frame.empty());
for(float minDistance = 0; minDistance < 4; minDistance += 3.0)
{
SUBTEST << "image = " << images[imgIdx] << "; ";
SUBTEST << "minDistance = " << minDistance << "; ";
cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance);
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;
}
}
}