opencv

Commit Graph

Author	SHA1	Message	Date
Kumataro	602caa9cd6	Merge pull request #21937 from Kumataro:4.x-fix-21911 * Fix warnings for clang15 * Fix warnings: Remove unnecessary code * Fix warnings: Remove unnecessary code	3 years ago
Suleyman TURKMEN	0e6a2c0491	fix legacy constants	3 years ago
yuki takehara	a6277370ca	Merge pull request #21107 from take1014:remove_assert_21038 resolves #21038 * remove C assert * revert C header * fix several points in review * fix test_ds.cpp	3 years ago
utibenkei	9d61c18143	fix testSaveLoad	3 years ago
Alexander Alekhin	0bdbc745c4	ml: update checks	4 years ago
Alexander Alekhin	b9b19185bc	ml: fix legacy import in DTreesImpl	4 years ago
Danny	a9a6801c6d	Merge pull request #19884 from danielenricocahall:fix-prediction-features-bug Fix bug with predictions in RTrees/Boost * address bug where predict functions with invalid feature count in rtrees/boost models * compact matrix rep in tests * check 1..n-1 and n+1 in feature size validation test	4 years ago
Alexander Alekhin	7664e6d090	ml: use OpenCV license header for logistic regression	4 years ago
Alexander Alekhin	97bb91d5fa	ml: fix python test	4 years ago
Danny	c31164bf1e	Merge pull request #18126 from danielenricocahall:add-oob-error-sample-weighting Account for sample weights in calculating OOB Error * account for sample weights in oob error calculation * redefine oob error functions * fix ABI compatibility	4 years ago
Danny	20b23da8e2	Merge pull request #18061 from danielenricocahall:fix-kd-tree Fix KD Tree kNN Implementation * Make KDTree mode in kNN functional remove docs and revert change Make KDTree mode in kNN functional spacing Make KDTree mode in kNN functional fix window compilations warnings Make KDTree mode in kNN functional fix window compilations warnings Make KDTree mode in kNN functional casting Make KDTree mode in kNN functional formatting Make KDTree mode in kNN functional * test coding style	4 years ago
Giles Payne	02385472b6	Merge pull request #17165 from komakai:objc-binding Objc binding * Initial work on Objective-C wrapper * Objective-C generator script; update manually generated wrappers * Add Mat tests * Core Tests * Imgproc wrapper generation and tests * Fixes for Imgcodecs wrapper * Miscellaneous fixes. Swift build support * Objective-C wrapper build/install * Add Swift wrappers for videoio/objdetect/feature2d * Framework build;iOS support * Fix toArray functions;Use enum types whenever possible * Use enum types where possible;prepare test build * Update test * Add test runner scripts for iOS and macOS * Add test scripts and samples * Build fixes * Fix build (cmake 3.17.x compatibility) * Fix warnings * Fix enum name conflicting handling * Add support for document generation with Jazzy * Swift/Native fast accessor functions * Add Objective-C wrapper for calib3d, dnn, ml, photo and video modules * Remove IntOut/FloatOut/DoubleOut classes * Fix iOS default test platform value * Fix samples * Revert default framework name to opencv2 * Add converter util functions * Fix failing test * Fix whitespace * Add handling for deprecated methods;fix warnings;define __OPENCV_BUILD * Suppress cmake warnings * Reduce severity of "jazzy not found" log message * Fix incorrect #include of compatibility header in ios.h * Use explicit returns in subscript/get implementation * Reduce minimum required cmake version to 3.15 for Objective-C/Swift binding	5 years ago
Peter Würtz	8aebef2459	Use global RNG for training RTrees.	5 years ago
Brian Wignall	f9c514b391	Fix spelling typos backport commit `659ffaddb4`	5 years ago
Brian Wignall	659ffaddb4	Fix spelling typos	5 years ago
berak	0dfab6bbd0	ml: fix check in SVM::trainAuto	5 years ago
Maksim Shabunin	5ff1fababc	Merge pull request #15959 from mshabunin:refactor-ml-tests ml: refactored tests * use parametrized tests where appropriate * use stable theRNG in most tests * use modern style with EXPECT_/ASSERT_ checks	5 years ago
Alexander Alekhin	7ec91aefc1	python: force using of ArgInfo	5 years ago
Alexander Alekhin	fef7fc343e	ml: add checks of empty train data	5 years ago
luz.paz	fcc7d8dd4e	Fix modules/ typos Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint` backporting of commit: `ec43292e1e`	5 years ago
luz.paz	ec43292e1e	Fix modules/ typos Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`	5 years ago
Ahmed Ashour	5c56b8ce92	java: generated code to have javadoc	6 years ago
seungju	ceff82877d	fix a typo in md file fix a typo in ml_intro.md, tress -> trees	6 years ago
LaurentBerger	621e3eaed8	Add Ptr KNearest::load and python binding	6 years ago
Alexander Alekhin	a0a1fb5fec	python: discover tests from module/misc/python/test paths	6 years ago
npochhi	f1a99995c4	Changed eps checking condition	6 years ago
Alexander Alekhin	7d24727184	ml: handle sigmoid NaN result (should be Inf) - added more debug checks	6 years ago
klemens	5d9c6723ee	spelling fixes backport `997b7b18af`	6 years ago
klemens	997b7b18af	spelling fixes	6 years ago
Hannah McLaughlin	418898029c	Merge pull request #13718 from lochsh:svm-sigmoid-fix SVM sigmoid kernel fix (issue #13621) (#13718) * Added test for sigmoid case for retrieving support vectors * undo unhelpful test * add test for sigmoid SVM with data that is easily separable into two concentric circles * Update sigmoid kernel to use tanh(gamma * <x, y> + coef0) instead of -tanh(gamma * <x, y> + coef0) * remove unnecessary constraint on coef0 * cleanup * fixing inappropriate use of doubles * Add f to float literal * replace CV_Assert with ASSERT_EQ where appropriate	6 years ago
Vadim Pisarevsky	0f622206e4	completely new C++ persistence implementation (#13011 ) * integrated the new C++ persistence; removed old persistence; most of OpenCV compiles fine! the tests have not been run yet * fixed multiple bugs in the new C++ persistence * fixed raw size of the parsed empty sequences * [temporarily] excluded obsolete applications traincascade and createsamples from build * fixed several compiler warnings and multiple test failures * undo changes in cocoa window rendering (that was fixed in another PR) * fixed more compile warnings and the remaining test failures (hopefully) * trying to fix the last little warning	6 years ago
Alexander Alekhin	df8b057b44	avoid `Ptr<> == NULL` checks	6 years ago
Hamdi Sahloul	a39e0daacf	Utilize CV_UNUSED macro	6 years ago
Jakub Golinowski	9f1218b00b	Merge pull request #11897 from Jakub-Golinowski:hpx_backend * Add HPX backend for OpenCV implementation Adds hpx backend for cv::parallel_for_() calls respecting the nstripes chunking parameter. C++ code for the backend is added to modules/core/parallel.cpp. Also, the necessary changes to cmake files are introduced. Backend can operate in 2 versions (selectable by cmake build option WITH_HPX_STARTSTOP): hpx (runtime always on) and hpx_startstop (start and stop the backend for each cv::parallel_for_() call) * WIP: Conditionally include hpx_main.hpp to tests in core module Header hpx_main.hpp is included to both core/perf/perf_main.cpp and core/test/test_main.cpp. The changes to cmake files for linking hpx library to above mentioned test executalbles are proposed but have issues. * Add coditional iclusion of hpx_main.hpp to cpp cpu modules * Remove start/stop version of hpx backend	6 years ago
berak	e13f6ded7f	ml: fix adjusting K in KNearest (#12358 )	6 years ago
Alexander Alekhin	6e84abc746	ml: don't use "getSubVector()" with 2D matrix It is designed for 1D vectors only	6 years ago
Alexander Alekhin	7ee69740e8	ml(test): test different samples layout of TrainData	6 years ago
luz.paz	2003eb1b9b	Misc. typos Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`	6 years ago
Maksim Shabunin	cbb1e867e5	More issues found by static analysis	6 years ago
Maksim Shabunin	1da46fe6fb	Fixed issues found by static analysis (mostly DBZ)	6 years ago
Alexander Alekhin	b09a4a98d4	opencv: Use cv::AutoBuffer<>::data()	6 years ago
berak	9b0ef7bb17	ml: fix caching of internal state when changing the impl in KNearest	7 years ago
Alexander Alekhin	6b581c4e51	build: unreachable code after CV_Error() (part 2)	7 years ago
berak	fc5bba66af	ml: refactor non-virtual methods	7 years ago
Alexander Alekhin	2385a5870e	next(ml): eliminate dummy interface class ANN_MLP_ANNEAL	7 years ago
lopespt	65d816c3b5	Adds efficient sort algorithm to KNearest	7 years ago
Alexander Alekhin	4d0dd3e509	ml: apply CV_OVERRIDE/CV_FINAL	7 years ago
codingforfun	24e2e0d3f9	#11143 [FIX] Normalize node risk with sample weight sum In case of regression trees, node risk is computed as sum of squared error. To get a meaningfull value to compare with it needs to be normalized to the number of samples in the node (or more generally to the sum of sample weights in this node). Otherwise the sum of squared error is highly dependend on the number of samples in the node and comparision with `regressionAccuracy` parameter is not very meaningful. After normalization `node_risk` means in fact sample variance for all samples in the node, which makes much more sence and seams to be what was originaly intended by the code given that node risk is later used as a split termination criteria by ``` sqrt(node.node_risk) < params.getRegressionAccuracy() ```	7 years ago
Maksim Shabunin	92e9d4ec3a	Fixed several issues detected by static analysis	7 years ago
Alexander Alekhin	12d2bd4adb	ml: refactor ML_ANN test	7 years ago

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587 Commits (602caa9cd61a7dd88e86d049d0e5e27be0e68ad7)