Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
#include <opencv2/imgproc/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"),
std::string("cv/shared/1_itseez-0000892.png"),
std::string("cv/shared/1_itseez-0001238.png"),
std::string("cv/shared/1_itseez-0001438.png"),
std::string("cv/shared/1_itseez-0002524.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();
}
std::sort(faces.begin(), faces.end(), comparators::RectLess());
SANITY_CHECK(faces, 3.001 * faces.size());
}
typedef std::tr1::tuple<std::string, std::string> fixture;
typedef perf::TestBaseWithParam<fixture> detect;
namespace {
typedef cv::SCascade::Detection detection_t;
void extractRacts(std::vector<detection_t> objectBoxes, vector<Rect> rects)
{
rects.clear();
for (int i = 0; i < (int)objectBoxes.size(); ++i)
rects.push_back(objectBoxes[i].bb);
}
}
PERF_TEST_P(detect, SCascade,
testing::Combine(testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png"))))
{
typedef cv::SCascade::Detection Detection;
cv::Mat colored = imread(getDataPath(get<1>(GetParam())));
ASSERT_FALSE(colored.empty());
cv::SCascade cascade;
cv::FileStorage fs(getDataPath(get<0>(GetParam())), cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
std::vector<detection_t> objectBoxes;
cascade.detect(colored, cv::noArray(), objectBoxes);
TEST_CYCLE()
{
cascade.detect(colored, cv::noArray(), objectBoxes);
}
vector<Rect> rects;
extractRacts(objectBoxes, rects);
std::sort(rects.begin(), rects.end(), comparators::RectLess());
SANITY_CHECK(rects);
}