#include "perf_precomp.hpp" #include using cv::Rect; using std::tr1::get; using namespace cv::softcascade; typedef std::tr1::tuple fixture; typedef perf::TestBaseWithParam detect; namespace { void extractRacts(std::vector objectBoxes, std::vector& 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 objectBoxes; TEST_CYCLE() { cascade.detect(colored, cv::noArray(), objectBoxes); } std::vector rects; extractRacts(objectBoxes, rects); std::sort(rects.begin(), rects.end(), perf::comparators::RectLess()); SANITY_CHECK(rects); }