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fix test for a new test data

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marina.kolpakova 2012-12-24 08:43:04 +04:00
parent 9efd668a57
commit 913faf2ef4
2 changed files with 61 additions and 119 deletions
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6
modules/objdetect/perf/perf_cascadeclassifier.cpp
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@ -65,15 +65,15 @@ namespace {
}
PERF_TEST_P(detect, SCascade,
testing::Combine(testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png"))))
testing::Combine(testing::Values(std::string("cv/softcascade/soft-cascade-17.12.2012.xml")),
testing::Values(std::string("cv/softcascade/bahnhof/image_00000000_0.png"))))
{
typedef cv::SCascade::Detection Detection;
cv::Mat colored = imread(getDataPath(get<1>(GetParam())));
ASSERT_FALSE(colored.empty());
cv::SCascade cascade;
cv::FileStorage fs("/home/kellan/soft-cascade-17.12.2012/first-soft-cascade-composide-octave_1.xml", cv::FileStorage::READ);
cv::FileStorage fs(getDataPath(get<0>(GetParam())), cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));

172
modules/objdetect/test/test_softcascade.cpp
View File

@ -43,143 +43,85 @@
#include <string>
#include <fstream>
static std::string itoa(int i)
{
static char s[65];
sprintf(s, "%03d", i);
return std::string(s);
}
#include "test_precomp.hpp"
#include <opencv2/highgui/highgui.hpp>
TEST(SCascade, detect1)
{
typedef cv::SCascade::Detection Detection;
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::SCascade cascade;
cascade.set("rejCriteria", cv::SCascade::DOLLAR);
// cascade.set("minScale", 0.5);
// cascade.set("scales", 2);
cv::FileStorage fs("/home/kellan/soft-cascade-17.12.2012/first-soft-cascade-composide-octave_1.xml", cv::FileStorage::READ);
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
for (int sample = 0; sample < 1000; ++sample)
{
// std::cout << itoa(sample) << std::endl;
std::cout << std::string("/home/kellan/bahnhof-l/image_00000" + itoa(sample) + "_0.png") << std::endl;
cv::Mat colored = cv::imread(std::string("/home/kellan/bahnhof-l/image_00000" + itoa(sample) + "_0.png"));
ASSERT_FALSE(colored.empty());
std::vector<Detection> objects;
cascade.detect(colored, cv::noArray(), objects);
for (int i = 0; i < (int)objects.size(); ++i)
cv::rectangle(colored, objects[i].bb, cv::Scalar(51, 160, 255, 255), 1);
// cv::Mat res;
// cv::resize(colored, res, cv::Size(), 4,4);
cv::imshow("detections", colored);
cv::waitKey(20);
// cv::imwrite(std::string("/home/kellan/res/image_00000" + itoa(sample) + ".png"), colored);
}
// ASSERT_EQ(1459, (int)objects.size());
}
TEST(SCascade, readCascade)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/test-simple-cascade.xml";
std::string xml = cvtest::TS::ptr()->get_data_path() + "softcascade/soft-cascade-17.12.2012.xml";
cv::SCascade cascade;
cv::FileStorage fs("/home/kellan/soft-cascade-17.12.2012/first-soft-cascade-composide-octave_1.xml", cv::FileStorage::READ);
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
}
// TEST(SCascade, detect)
// {
// typedef cv::SCascade::Detection Detection;
// std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml";
// cv::SCascade cascade;
// // cascade.set("maxScale", 0.5);
// // cascade.set("minScale", 0.5);
// // cascade.set("scales", 2);
TEST(SCascade, detect)
{
typedef cv::SCascade::Detection Detection;
std::string xml = cvtest::TS::ptr()->get_data_path() + "softcascade/soft-cascade-17.12.2012.xml";
cv::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
// cv::FileStorage fs("/home/kellan/soft-cascade-17.12.2012/first-soft-cascade-composide-octave_1.xml", cv::FileStorage::READ);
// ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "softcascade/bahnhof/image_00000000_0.png");
ASSERT_FALSE(colored.empty());
// // 454
// cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png");//"/home/kellan/datasets/INRIA/training_set/pos/octave_-1/sample_1.png");//cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png");
// ASSERT_FALSE(colored.empty());
std::vector<Detection> objects;
cascade.detect(colored, cv::noArray(), objects);
// std::vector<Detection> objects;
ASSERT_EQ(823, (int)objects.size());
}
// cascade.detect(colored, cv::noArray(), objects);
TEST(SCascade, detectSeparate)
{
typedef cv::SCascade::Detection Detection;
std::string xml = cvtest::TS::ptr()->get_data_path() + "softcascade/soft-cascade-17.12.2012.xml";
cv::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
// for (int i = 0; i < objects.size(); ++i)
// cv::rectangle(colored, objects[i].bb, cv::Scalar::all(255), 1);
cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "softcascade/bahnhof/image_00000000_0.png");
ASSERT_FALSE(colored.empty());
// cv::Mat res;
// cv::resize(colored, res, cv::Size(), 4,4);
// cv::imshow("detections", colored);
// cv::waitKey(0);
cv::Mat rects, confs;
// // ASSERT_EQ(1459, (int)objects.size());
// }
cascade.detect(colored, cv::noArray(), rects, confs);
ASSERT_EQ(823, confs.cols);
}
// 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()));
TEST(SCascade, detectRoi)
{
typedef cv::SCascade::Detection Detection;
std::string xml = cvtest::TS::ptr()->get_data_path() + "softcascade/soft-cascade-17.12.2012.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 colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "softcascade/bahnhof/image_00000000_0.png");
ASSERT_FALSE(colored.empty());
// cv::Mat rects, confs;
std::vector<Detection> objects;
std::vector<cv::Rect> rois;
rois.push_back(cv::Rect(0, 0, 640, 480));
// cascade.detect(colored, cv::noArray(), rects, confs);
// ASSERT_EQ(1459, confs.cols);
// }
cascade.detect(colored, rois, objects);
ASSERT_EQ(823, (int)objects.size());
}
// TEST(SCascade, detectRoi)
// {
// 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()));
TEST(SCascade, detectNoRoi)
{
typedef cv::SCascade::Detection Detection;
std::string xml = cvtest::TS::ptr()->get_data_path() + "softcascade/soft-cascade-17.12.2012.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 colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "softcascade/bahnhof/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));
std::vector<Detection> objects;
std::vector<cv::Rect> rois;
// cascade.detect(colored, rois, objects);
// ASSERT_EQ(1459, (int)objects.size());
// }
cascade.detect(colored, rois, objects);
// TEST(SCascade, detectNoRoi)
// {
// 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());
// std::vector<Detection> objects;
// std::vector<cv::Rect> rois;
// cascade.detect(colored, rois, objects);
// ASSERT_EQ(0, (int)objects.size());
// }
ASSERT_EQ(0, (int)objects.size());
}