generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

export to python/java

Browse Source
This commit is contained in:
marina.kolpakova
2012-11-13 02:49:35 +04:00
parent 665bf430d5
commit bd9ca48fab
4 changed files with 57 additions and 57 deletions
Download Patch File Download Diff File Expand all files Collapse all files

67
modules/objdetect/test/test_softcascade.cpp
View File

@@ -66,34 +66,26 @@ TEST(SCascade, detect)
std::vector<Detection> objects;
cascade.detect(colored, cv::noArray(), objects);
// cv::Mat out = colored.clone();
// int level = 0, total = 0;
// int levelWidth = objects[0].bb.width;
// for(int i = 0 ; i < (int)objects.size(); ++i)
// {
// if (objects[i].bb.width != levelWidth)
// {
// std::cout << "Level: " << level << " total " << total << std::endl;
// cv::imshow("out", out);
// cv::waitKey(0);
// out = colored.clone();
// levelWidth = objects[i].bb.width;
// total = 0;
// level++;
// }
// cv::rectangle(out, objects[i].bb, cv::Scalar(255, 0, 0, 255), 1);
// std::cout << "detection: " << objects[i].bb.x
// << " " << objects[i].bb.y
// << " " << objects[i].bb.width
// << " " << objects[i].bb.height << std::endl;
// total++;
// }
// std::cout << "detected: " << (int)objects.size() << std::endl;
ASSERT_EQ((int)objects.size(), 3498);
}
TEST(SCascade, detectSeparate)
{
typedef cv::SCascade::Detection Detection;
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::SCascade 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/bahnhof/image_00000000_0.png");
ASSERT_FALSE(colored.empty());
cv::Mat rects, confs;
cascade.detect(colored, cv::noArray(), rects, confs);
ASSERT_EQ(confs.cols, 3498);
}
TEST(SCascade, detectRoi)
{
typedef cv::SCascade::Detection Detection;
@@ -110,31 +102,6 @@ TEST(SCascade, detectRoi)
rois.push_back(cv::Rect(0, 0, 640, 480));
cascade.detect(colored, rois, objects);
// cv::Mat out = colored.clone();
// int level = 0, total = 0;
// int levelWidth = objects[0].bb.width;
// for(int i = 0 ; i < (int)objects.size(); ++i)
// {
// if (objects[i].bb.width != levelWidth)
// {
// std::cout << "Level: " << level << " total " << total << std::endl;
// cv::imshow("out", out);
// cv::waitKey(0);
// out = colored.clone();
// levelWidth = objects[i].bb.width;
// total = 0;
// level++;
// }
// cv::rectangle(out, objects[i].bb, cv::Scalar(255, 0, 0, 255), 1);
// std::cout << "detection: " << objects[i].bb.x
// << " " << objects[i].bb.y
// << " " << objects[i].bb.width
// << " " << objects[i].bb.height << std::endl;
// total++;
// }
// std::cout << "detected: " << (int)objects.size() << std::endl;
ASSERT_EQ((int)objects.size(), 3498);
}