Open Source Computer Vision Library https://opencv.org/
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
#include "test_precomp.hpp"
namespace opencv_test { namespace {
const string FEATURES2D_DIR = "features2d";
const string IMAGE_FILENAME = "tsukuba.png";
const string DETECTOR_DIR = FEATURES2D_DIR + "/feature_detectors";
}} // namespace
#include "test_detectors_regression.impl.hpp"
namespace opencv_test { namespace {
/****************************************************************************************\
* Tests registrations *
\****************************************************************************************/
TEST( Features2d_Detector_SIFT, regression )
{
CV_FeatureDetectorTest test( "detector-sift", SIFT::create() );
test.safe_run();
}
TEST( Features2d_Detector_BRISK, regression )
{
CV_FeatureDetectorTest test( "detector-brisk", BRISK::create() );
test.safe_run();
}
TEST( Features2d_Detector_FAST, regression )
{
CV_FeatureDetectorTest test( "detector-fast", FastFeatureDetector::create() );
test.safe_run();
}
TEST( Features2d_Detector_AGAST, regression )
{
CV_FeatureDetectorTest test( "detector-agast", AgastFeatureDetector::create() );
test.safe_run();
}
TEST( Features2d_Detector_GFTT, regression )
{
CV_FeatureDetectorTest test( "detector-gftt", GFTTDetector::create() );
test.safe_run();
}
TEST( Features2d_Detector_Harris, regression )
{
Ptr<GFTTDetector> gftt = GFTTDetector::create();
gftt->setHarrisDetector(true);
CV_FeatureDetectorTest test( "detector-harris", gftt);
test.safe_run();
}
TEST( Features2d_Detector_MSER, DISABLED_regression )
{
CV_FeatureDetectorTest test( "detector-mser", MSER::create() );
test.safe_run();
}
TEST( Features2d_Detector_ORB, regression )
{
CV_FeatureDetectorTest test( "detector-orb", ORB::create() );
test.safe_run();
}
TEST( Features2d_Detector_KAZE, regression )
{
CV_FeatureDetectorTest test( "detector-kaze", KAZE::create() );
test.safe_run();
}
TEST( Features2d_Detector_AKAZE, regression )
{
CV_FeatureDetectorTest test( "detector-akaze", AKAZE::create() );
test.safe_run();
}
Merge pull request #8869 from hrnr:akaze_part1 [GSOC] Speeding-up AKAZE, part #1 (#8869) * ts: expand arguments before stringifications in CV_ENUM and CV_FLAGS added protective macros to always force macro expansion of arguments. This allows using CV_ENUM and CV_FLAGS with macro arguments. * feature2d: unify perf test use the same test for all detectors/descriptors we have. * added AKAZE tests * features2d: extend perf tests * add BRISK, KAZE, MSER * run all extract tests on AKAZE keypoints, so that the test si more comparable for the speed of extraction * feature2d: rework opencl perf tests use the same configuration as cpu tests * feature2d: fix descriptors allocation for AKAZE and KAZE fix crash when descriptors are UMat * feature2d: name enum to fix build with older gcc * Revert "ts: expand arguments before stringifications in CV_ENUM and CV_FLAGS" This reverts commit 19538cac1e45b0cec98190cf06a5ecb07d9b596e. This wasn't a great idea after all. There is a lot of flags implemented as #define, that we don't want to expand. * feature2d: fix expansion problems with CV_ENUM in perf * expand arguments before passing them to CV_ENUM. This does not need modifications of CV_ENUM. * added include guards to `perf_feature2d.hpp` * feature2d: fix crash in AKAZE when using KAZE descriptors * out-of-bound access in Get_MSURF_Descriptor_64 * this happened reliably when running on provided keypoints (not computed by the same instance) * feature2d: added regression tests for AKAZE * test with both MLDB and KAZE keypoints * feature2d: do not compute keypoints orientation twice * always compute keypoints orientation, when computing keypoints * do not recompute keypoint orientation when computing descriptors this allows to test detection and extraction separately * features2d: fix crash in AKAZE * out-of-bound reads near the image edge * same as the bug in KAZE descriptors * feature2d: refactor invariance testing * split detectors and descriptors tests * rewrite to google test to simplify debugging * add tests for AKAZE and one test for ORB * stitching: add tests with AKAZE feature finder * added basic stitching cpu and ocl tests * fix bug in AKAZE wrapper for stitching pipeline causing lots of ! OPENCV warning: getUMat()/getMat() call chain possible problem. ! Base object is dead, while nested/derived object is still alive or processed. ! Please check lifetime of UMat/Mat objects!
8 years ago
TEST( Features2d_Detector_AKAZE_DESCRIPTOR_KAZE, regression )
{
CV_FeatureDetectorTest test( "detector-akaze-with-kaze-desc", AKAZE::create(AKAZE::DESCRIPTOR_KAZE) );
test.safe_run();
}
}} // namespace