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Commit Graph

5 Commits (3c70d966cb548915a569eb23af9308ca2de43bdd)

Author	SHA1	Message	Date
Alexander Alekhin	4a297a2443	ts: refactor OpenCV tests ... - removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers	7 years ago
Vitaly Tuzov	51cb56ef2c	Implementation of bit-exact resize. Internal calls to linear resize updated to use bit-exact version. (#9468)	7 years ago
Alexander Alekhin	63ae5f00b1	features2d(test): enable debug messages	8 years ago
Jiri Horner	3166d0c667	Merge pull request #9249 from hrnr:akaze_part3 ... [GSOC] Speeding-up AKAZE, part #3 (#9249) * use finding of scale extremas from fast_akaze * incorporade finding of extremas and subpixel refinement from Hideaki Suzuki's fast_akaze (https://github.com/h2suzuki/fast_akaze) * use opencv parallel framework * do not search for keypoints near the border, where we can't compute sensible descriptors (bugs fixed in ffd9ad99f4, 2c5389594b), but the descriptors were not 100% correct. this is a better solution this version produces less keypoints with the same treshold. It is more effective in pruning similar keypoints (which do not bring any new information), so we have less keypoints, but with high quality. Accuracy is about the same. * incorporate bugfix from upstream * fix bug in subpixel refinement * see commit db3dc22981e856ca8111f2f7fe57d9c2e0286efc in Pablo's repo * rework finding of scale space extremas * store just keypoints positions * store positions in uchar mask for effective spatial search for neighbours * construct keypoints structs at the very end * lower inlier threshold in test * win32 has lower accuracy	8 years ago
Jiri Horner	5f20e802d2	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 19538cac1e. 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