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Merge pull request #2127 from apavlenko:perf_cascades

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Roman Donchenko 2014-01-16 12:37:02 +04:00 committed by OpenCV Buildbot
commit b0af6a2b58
2 changed files with 61 additions and 56 deletions
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61
modules/objdetect/perf/opencl/perf_cascades.cpp Normal file
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#include "perf_precomp.hpp"
#include <opencv2/imgproc.hpp>
#include "opencv2/ts/ocl_perf.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef std::tr1::tuple<std::string, std::string, int> Cascade_Image_MinSize_t;
typedef perf::TestBaseWithParam<Cascade_Image_MinSize_t> Cascade_Image_MinSize;
#ifdef HAVE_OPENCL
OCL_PERF_TEST_P(Cascade_Image_MinSize, CascadeClassifier,
testing::Combine(
testing::Values( string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt.xml"),
string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt_old.xml"),
string("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml") ),
testing::Values( string("cv/shared/lena.png"),
string("cv/cascadeandhog/images/bttf301.png"),
string("cv/cascadeandhog/images/class57.png") ),
testing::Values(30, 64, 90) ) )
{
const string cascasePath = get<0>(GetParam());
const string imagePath = get<1>(GetParam());
int min_size = get<2>(GetParam());
Size minSize(min_size, min_size);
CascadeClassifier cc( getDataPath(cascasePath) );
if (cc.empty())
FAIL() << "Can't load cascade file: " << getDataPath(cascasePath);
Mat img = imread(getDataPath(imagePath), IMREAD_GRAYSCALE);
if (img.empty())
FAIL() << "Can't load source image: " << getDataPath(imagePath);
vector<Rect> faces;
equalizeHist(img, img);
declare.in(img).time(60);
UMat uimg = img.getUMat(ACCESS_READ);
while(next())
{
faces.clear();
cvtest::ocl::perf::safeFinish();
startTimer();
cc.detectMultiScale(uimg, faces, 1.1, 3, 0, minSize);
stopTimer();
}
sort(faces.begin(), faces.end(), comparators::RectLess());
SANITY_CHECK(faces, min_size/5);
}
#endif //HAVE_OPENCL

56
modules/objdetect/perf/perf_cascadeclassifier.cpp
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#include "perf_precomp.hpp"
#include <opencv2/imgproc.hpp>
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef std::tr1::tuple<std::string, int> ImageName_MinSize_t;
typedef perf::TestBaseWithParam<ImageName_MinSize_t> ImageName_MinSize;
PERF_TEST_P(ImageName_MinSize, CascadeClassifierLBPFrontalFace,
testing::Combine(testing::Values( std::string("cv/shared/lena.png"),
std::string("cv/shared/1_itseez-0000289.png"),
std::string("cv/shared/1_itseez-0000492.png"),
std::string("cv/shared/1_itseez-0000573.png")),
testing::Values(24, 30, 40, 50, 60, 70, 80, 90)
)
)
{
const string filename = get<0>(GetParam());
int min_size = get<1>(GetParam());
Size minSize(min_size, min_size);
CascadeClassifier cc(getDataPath("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml"));
if (cc.empty())
FAIL() << "Can't load cascade file";
Mat img = imread(getDataPath(filename), 0);
if (img.empty())
FAIL() << "Can't load source image";
vector<Rect> faces;
equalizeHist(img, img);
declare.in(img);
while(next())
{
faces.clear();
startTimer();
cc.detectMultiScale(img, faces, 1.1, 3, 0, minSize);
stopTimer();
}
// for some reason OpenCL version detects the face, which CPU version does not detect, we just remove it
// TODO better solution: implement smart way of comparing two set of rectangles
if( filename == "cv/shared/1_itseez-0000492.png" && faces.size() == (size_t)3 )
{
faces.erase(faces.begin());
}
std::sort(faces.begin(), faces.end(), comparators::RectLess());
SANITY_CHECK(faces, 3.001 * faces.size());
}