opencv/modules/softcascade/test/test_softcascade.cpp

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#include <string>
#include <fstream>

#include "test_precomp.hpp"

using namespace cv::softcascade;

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, detect)
{
    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::noArray(), objects);

    ASSERT_EQ(719, (int)objects.size());
}

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, 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());
}

TEST(SoftCascadeDetector, detectNoRoi)
{
    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;

    cascade.detect(colored, rois, objects);

    ASSERT_EQ(719, (int)objects.size());
}

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());
}