opencv

Commit Graph

Author	SHA1	Message	Date
Alexander Smorkalov	daa8f7dfc6	Partially back-port #25075 to 4.x	11 months ago
Sean McBride	5fb3869775	Merge pull request #23109 from seanm:misc-warnings * Fixed clang -Wnewline-eof warnings * Fixed all trivial clang -Wextra-semi and -Wc++98-compat-extra-semi warnings * Removed trailing semi from various macros * Fixed various -Wunused-macros warnings * Fixed some trivial -Wdocumentation warnings * Fixed some -Wdocumentation-deprecated-sync warnings * Fixed incorrect indentation * Suppressed some clang warnings in 3rd party code * Fixed QRCodeEncoder::Params documentation. --------- Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>	1 year ago
tkram01	ea7efd57d8	Fix for using sampleIdx to limit training data	2 years ago
Alexander Smorkalov	3d635cb4a7	Warning supression fix for XCode 13.1 and newer. Backport #23203	2 years ago
Sean McBride	1829eba584	Fixed most clang -Wextra-semi warnings	2 years ago
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
Yulv-git	15ac54d5d6	Fix some typos in modules/.	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
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
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	5 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	5 years ago
Peter Würtz	8aebef2459	Use global RNG for training RTrees.	5 years ago
berak	0dfab6bbd0	ml: fix check in SVM::trainAuto	5 years ago
Alexander Alekhin	fef7fc343e	ml: add checks of empty train data	5 years ago
LaurentBerger	621e3eaed8	Add Ptr KNearest::load and python binding	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
Hamdi Sahloul	a39e0daacf	Utilize CV_UNUSED macro	7 years ago
berak	e13f6ded7f	ml: fix adjusting K in KNearest (#12358 )	7 years ago
Alexander Alekhin	6e84abc746	ml: don't use "getSubVector()" with 2D matrix It is designed for 1D vectors only	7 years ago
luz.paz	2003eb1b9b	Misc. typos Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`	7 years ago
Maksim Shabunin	cbb1e867e5	More issues found by static analysis	7 years ago
Maksim Shabunin	1da46fe6fb	Fixed issues found by static analysis (mostly DBZ)	7 years ago
Alexander Alekhin	b09a4a98d4	opencv: Use cv::AutoBuffer<>::data()	7 years ago
berak	9b0ef7bb17	ml: fix caching of internal state when changing the impl in KNearest	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
luz.paz	e805a55a5b	Misc. modules/ typos (cont.) Found via `codespell`	7 years ago
Alexander Alekhin	00e43a9022	ml(ANN_MLP): ensure that train() call is always successful	7 years ago
Alexander Alekhin	289a8da39e	ml: simplify interfaces of SimulatedAnnealingSolver	7 years ago
LaurentBerger	e43997dbb5	Calcerror uses now weighted samples (#10346 ) * Calcerror uses now sample weights * catree comment in #10319	7 years ago
Alexander Alekhin	aef3019152	ml: fix SimulatedAnnealingSolver interface	7 years ago
catree	0a439570a0	Move SimulatedAnnealingSolver::Impl in cpp file. Fix some typos.	7 years ago
LaurentBerger	7ad308ea47	Simulated Annealing for ANN_MLP training method (#10213 ) * Simulated Annealing for ANN_MLP training method * EXPECT_LT * just to test new data * manage RNG * Try again * Just run buildbot with new data * try to understand * Test layer * New data- new test * Force RNG in backprop * Use Impl to avoid virtual method * reset all weights * try to solve ABI * retry * ABI solved? * till problem with dynamic_cast * Something is wrong * Solved? * disable backprop test * remove ANN_MLP_ANNEALImpl * Disable weight in varmap * Add example for SimulatedAnnealing	7 years ago
LaurentBerger	a44573c43b	Add ReLU and LeakyReLU activation function in ml module	7 years ago
LaurentBerger	606a5fd537	Try to solve issue 10166	7 years ago
LaurentBerger	b9cf65e905	Parallel version of calcError in statmodel	7 years ago
Maksim Shabunin	248e2c7d47	Fixed some issues found by static analysis	8 years ago
Vladislav Sovrasov	3eb9a655c7	ml: disable not implemented k-fold validation in RTrees	8 years ago

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398 Commits (5bad694b7f48f1bf0041541e801faeaedcf195c0)