opencv/modules/softcascade/test/test_softcascade.cpp

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