opencv

Commit Graph

Author	SHA1	Message	Date
Hamdi Sahloul	a39e0daacf	Utilize CV_UNUSED macro	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
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
luz.paz	e805a55a5b	Misc. modules/ typos (cont.) Found via `codespell`	7 years ago
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
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	7 years ago
Vladislav Sovrasov	3eb9a655c7	ml: disable not implemented k-fold validation in RTrees	7 years ago
David Geldreich	7c334f45c6	trainAuto: uses parallel_for_ to dispatch all parameters combination to test	7 years ago
Rink Springer	3ce1bca670	Prevent crash when attempting to create training data without responses. This is at least useful when using an SVM one-class linear classifier, so there are valid use cases.	7 years ago
Maksim Shabunin	a769d69a9d	Fixed several issues found by static analysis	8 years ago
Maksim Shabunin	32d4af36e2	Fixing some static analysis issues	8 years ago
Alexander Alekhin	006966e629	trace: initial support for code trace	8 years ago
David Carlier	bacc210606	fixing segfaults occuring when launching those unit tests	8 years ago
Maksim Shabunin	8b455e8bb3	Fixed Algorithm.save and other methods work in Java	8 years ago
Julian Tanke	f70cc29edb	export SVM::trainAuto to python #7224 (#8373 ) * export SVM::trainAuto to python #7224 * workaround for ABI compatibility of SVM::trainAuto * add parameter comments to new SVM::trainAuto function * Export ParamGrid member variables	8 years ago
Vladislav Sovrasov	195c12f2db	ml: remove useless namespace identifiers in SVM	8 years ago
mrquorr	d8425d8881	finished for one sample Finished with several samples support, need regression testing Gave a more relevant name to function (getVotes) Finished implicit implementation Removed printf, finished regresion testing Fixed conversion warning Finished test for Rtrees Fixed documentation Initialized variable Added doxygen documentation Added parameter name	8 years ago
Vladislav Sovrasov	a789c08588	ml::EM: add documentation for predict() method	8 years ago
chrizandr	519fbdb8ab	Wrappers for load methods of EM, LR, SVMSGD and Normal Bayes Classifier	8 years ago
chrizandr	d22df8c41f	Add wrappers for load functions for DTrees and Boost classifiers	8 years ago
chrizandr	e3ec3566d9	RTrees: Add wrapper for RTrees_load method to enable loading trained RTrees	8 years ago
berak	89a740a62f	Merge pull request #8019 from berak:patch-2 ml: fix small typo in lr.cpp (#8019)	8 years ago
BadrinathS	d1f727191f	Resolving issue #7924	8 years ago
logic1988	de059567d7	Update inner_functions.cpp Fix #4958 cv::ml::StatModel::calcError not working for responses of type CV_32S	8 years ago
Vladislav Sovrasov	d2e5bea1fb	Disable training of RTrees when CVFolds > 0	8 years ago
Alexander Alekhin	cc09f5a7de	Merge pull request #7854 from alalek:backports_2016 (2.4) Backports from master branch (#7854)	8 years ago
mshabunin	7a7a2749e0	Fixed java wrappers	8 years ago
sourin	a34fbf7bb1	Fixed identifiers warns	8 years ago
Vadim Pisarevsky	40b870704e	add 2 extra methods to ml::TrainData (#7169 ) * expose 2 extra methods from ml::TrainData: getNames() and getVarSymbolFlags(). The first one returns text labels from CSV (if the data has been loaded from CSV); the second one returns a matrix of boolean values; its n-th element is 1 iff the corresponding column in the CSV uses symbolic names, not numbers. * check that the dynamic_cast succeeds	8 years ago

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524 Commits (dc80f9d0fb6ef149e3d2d03b780056a655a74618)