Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

added test to check keypoints returned by FeatureDetector (center, size, angle)

Browse Source
pull/2/head
Maria Dimashova 13 years ago
parent 017895dd93
commit 438c1444eb
2 changed files with 296 additions and 0 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 164
      modules/features2d/test/test_keypoints.cpp
  2. 132
      modules/nonfree/test/test_keypoints.cpp

164
modules/features2d/test/test_keypoints.cpp
Unescape View File

@ -0,0 +1,164 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/highgui/highgui.hpp"
using namespace std;
using namespace cv;
const string FEATURES2D_DIR = "features2d";
const string IMAGE_FILENAME = "tsukuba.png";
/****************************************************************************************\
* Test for KeyPoint *
\****************************************************************************************/
class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest
{
public:
CV_FeatureDetectorKeypointsTest(const Ptr<FeatureDetector>& _detector) :
detector(_detector) {}
protected:
virtual void run(int)
{
cv::initModule_features2d();
CV_Assert(!detector.empty());
string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME;
// Read the test image.
Mat image = imread(imgFilename);
if(image.empty())
{
ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str());
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
vector<KeyPoint> keypoints;
detector->detect(image, keypoints);
if(keypoints.empty())
{
ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n");
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
Rect r(0, 0, image.cols, image.rows);
for(size_t i = 0; i < keypoints.size(); i++)
{
const KeyPoint& kp = keypoints[i];
if(!r.contains(kp.pt))
{
ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
if(kp.size <= 0.f)
{
ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f)
{
ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
}
ts->set_failed_test_info(cvtest::TS::OK);
}
Ptr<FeatureDetector> detector;
};
// Registration of tests
TEST(Features2d_Detector_Keypoints_FAST, validation)
{
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.FAST"));
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_HARRIS, validation)
{
CV_FeatureDetectorKeypointsTest test(FeatureDetector::create("HARRIS"));
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_GFTT, validation)
{
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.GFTT"));
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_MSER, validation)
{
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.MSER"));
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_ORB, validation)
{
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.ORB"));
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_Star, validation)
{
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.STAR"));
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_Dense, validation)
{
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.Dense"));
test.safe_run();
}

132
modules/nonfree/test/test_keypoints.cpp
Unescape View File

@ -0,0 +1,132 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/highgui/highgui.hpp"
using namespace std;
using namespace cv;
const string FEATURES2D_DIR = "features2d";
const string IMAGE_FILENAME = "tsukuba.png";
/****************************************************************************************\
* Test for KeyPoint *
\****************************************************************************************/
class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest
{
public:
CV_FeatureDetectorKeypointsTest(const Ptr<FeatureDetector>& _detector) :
detector(_detector) {}
protected:
virtual void run(int)
{
cv::initModule_features2d();
CV_Assert(!detector.empty());
string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME;
// Read the test image.
Mat image = imread(imgFilename);
if(image.empty())
{
ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str());
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
vector<KeyPoint> keypoints;
detector->detect(image, keypoints);
if(keypoints.empty())
{
ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n");
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
Rect r(0, 0, image.cols, image.rows);
for(size_t i = 0; i < keypoints.size(); i++)
{
const KeyPoint& kp = keypoints[i];
if(!r.contains(kp.pt))
{
ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
if(kp.size <= 0.f)
{
ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f)
{
ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
}
ts->set_failed_test_info(cvtest::TS::OK);
}
Ptr<FeatureDetector> detector;
};
// Registration of tests
TEST(Features2d_Detector_Keypoints_SURF, validation)
{
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.SURF"));
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_SIFT, validation)
{
CV_FeatureDetectorKeypointsTest test(FeatureDetector::create("SIFT"));
test.safe_run();
}
Write Preview
Loading…
Cancel
Save