Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
#include <opencv2/imgproc.hpp>
using cv::Rect;
using std::tr1::get;
using namespace cv::softcascade;
typedef std::tr1::tuple<std::string, std::string> fixture;
typedef perf::TestBaseWithParam<fixture> detect;
namespace {
void extractRacts(std::vector<Detection> objectBoxes, std::vector<Rect>& rects)
{
rects.clear();
for (int i = 0; i < (int)objectBoxes.size(); ++i)
rects.push_back(objectBoxes[i].bb());
}
}
PERF_TEST_P(detect, SoftCascadeDetector,
testing::Combine(testing::Values(std::string("cv/cascadeandhog/cascades/inria_caltech-17.01.2013.xml")),
testing::Values(std::string("cv/cascadeandhog/images/image_00000000_0.png"))))
{
cv::Mat colored = cv::imread(getDataPath(get<1>(GetParam())));
ASSERT_FALSE(colored.empty());
Detector cascade;
cv::FileStorage fs(getDataPath(get<0>(GetParam())), cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
std::vector<Detection> objectBoxes;
TEST_CYCLE()
{
cascade.detect(colored, cv::noArray(), objectBoxes);
}
std::vector<Rect> rects;
extractRacts(objectBoxes, rects);
std::sort(rects.begin(), rects.end(), perf::comparators::RectLess());
SANITY_CHECK(rects);
}