TEST(SoftCascadeDetector, readCascade)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/cascades/inria_caltech-17.01.2013.xml";
Detector cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
}
TEST(SoftCascadeDetector, detectSeparate)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/cascades/inria_caltech-17.01.2013.xml";
Detector cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/images/image_00000000_0.png");
ASSERT_FALSE(colored.empty());
cv::Mat rects, confs;
cascade.detect(colored, cv::noArray(), rects, confs);
ASSERT_EQ(719, confs.cols);
}
TEST(SoftCascadeDetector, detectEmptyRoi)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/cascades/inria_caltech-17.01.2013.xml";
Detector cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/images/image_00000000_0.png");
ASSERT_FALSE(colored.empty());
std::vector<Detection> objects;
cascade.detect(colored, cv::Mat::zeros(colored.size(), CV_8UC1), objects);
ASSERT_EQ(0, (int)objects.size());
}
TEST(SoftCascadeDetector, detectRoi)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/cascades/inria_caltech-17.01.2013.xml";
Detector cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/images/image_00000000_0.png");
ASSERT_FALSE(colored.empty());
std::vector<Detection> objects;
std::vector<cv::Rect> rois;
rois.push_back(cv::Rect(0, 0, 640, 480));
cascade.detect(colored, rois, objects);
ASSERT_EQ(719, (int)objects.size());
}
{
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);
}
