Vadim Pisarevsky
c9ccf3b55d
Merge pull request #5346 from art-programmer:art-programmer-patch-1
2015-09-21 12:06:46 +00:00
art-programmer
e0ef293645
Update em.cpp
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Fix a bug. When reading from a saved model, function decomposeCovs() will be called. And if covMatType is COV_MAT_DIAGONAL, covsEigenValues is computed using SVD and eigen values are sorted so that the order of eigen values is not preserved. This would lead to different result when calling function predict2. This issues is discussed here: http://stackoverflow.com/questions/23485982/got-different-empredict-results-after-emread-saved-model-in-opencv .
2015-09-14 19:35:53 -05:00
Ilya Lavrenov
ee2008abe8
fixed "Conditional jump or move depends on uninitialised value(s)" in GBD
2015-09-13 12:36:57 +02:00
Ilya Lavrenov
1d77d697ef
fixed memory leak in GBTrees
2015-09-13 12:15:30 +02:00
Lorena García
c545857ea6
Indent fix
2015-08-04 16:50:55 +02:00
Lorena García
4cd78bc7ad
Whitespace error
2015-08-04 16:45:39 +02:00
Lorena García
fe62243805
Whitespace error
2015-08-04 16:37:41 +02:00
Lorena García
2cb47b4191
Update data.cpp
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Update to allow loading data from a .csv file that only contains training samples values and not the associated responses. To allow this behavior, function must be called with parameters ResponsesStartIdx <= -2 and ResponsesEndIdx = 0
2015-08-04 15:58:24 +02:00
Jie Yang
2ba0d31785
Fix SVM::trainAuto (Bug #4464 )
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Fix SVM::trainAuto (Bug #4464 )
2015-07-06 01:20:26 +09:30
berak
b29e473c21
fix plausability check, #issue 4429
2015-07-01 15:32:37 +02:00
Maksim Shabunin
b95769333c
Fixed ANN_MLP dw initialization when moment is not 0
2015-05-13 16:56:34 +03:00
Vadim Pisarevsky
a69b435c92
Merge pull request #3909 from Nuzhny007:master
2015-04-21 14:02:59 +00:00
Maksim Shabunin
cb00c7036f
Fix cache error during SVM train
2015-04-15 15:46:07 +03:00
Сергей Нужный
4a65f3cee2
Squashed commit of the following:
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commit 5c379aa1b8
Merge: e800800
3646967
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date: Wed Apr 8 12:44:46 2015 +0300
Merge branch 'master' of https://github.com/Nuzhny007/opencv
commit e800800bec
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date: Wed Apr 8 12:43:38 2015 +0300
Squashed commit of the following:
commit 3646967deb
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date: Tue Apr 7 15:48:30 2015 +0300
Fix bug in SVM::trainAuto
commit 0c24ccf538
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date: Tue Apr 7 15:43:59 2015 +0300
Revert "Fix bug in SVM::trainAuto"
This reverts commit 225da0226e
.
commit 225da0226e
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date: Tue Apr 7 15:09:47 2015 +0300
Fix bug in SVM::trainAuto
commit 3646967deb
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date: Tue Apr 7 15:48:30 2015 +0300
Fix bug in SVM::trainAuto
commit 0c24ccf538
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date: Tue Apr 7 15:43:59 2015 +0300
Revert "Fix bug in SVM::trainAuto"
This reverts commit 225da0226e
.
commit 225da0226e
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date: Tue Apr 7 15:09:47 2015 +0300
Fix bug in SVM::trainAuto
2015-04-08 12:51:57 +03:00
Vadim Pisarevsky
052593c760
1. Input/OutputArray optimizations;
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2. Algorithm::load/save added (moved from StatModel)
3. copyrights updated; added copyright/licensing info for ffmpeg
4. some warnings from Xcode 6.x are fixed
2015-04-07 16:44:26 +03:00
Sancho McCann
6593422c05
Bugfix: #4030 SVM auto-training.
2015-04-01 20:44:51 +00:00
Evgeny Agafonchikov
91bd7df8c1
Fixing invalid opencv_test_ml calls
2015-03-20 17:49:03 +03:00
ippei ito
518fd59a10
fixed whitespace error
2015-03-12 01:09:15 +09:00
ippei ito
49b38fe793
Fixed compile error build with VisualStudio2013 on windows.
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REG_NONE defined in ml.hpp conflicts with defined in Winnt.h
2015-03-12 00:32:17 +09:00
Maksim Shabunin
79e8f0680c
Updated ml module interfaces and documentation
2015-02-17 11:46:14 +03:00
Maksim Shabunin
c85197da55
Fixed allocated vector size in ML ANN algorithm
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- updated return value of points_classifier sample
2015-02-03 18:16:20 +03:00
Maksim Shabunin
38d37d2b00
Fixed uninitialized memory usage in ANN_MLP
2014-12-31 12:16:26 +03:00
Maksim Shabunin
d004ee58c5
Support loading old models in ML module
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- added test for loading legacy files
- added version to new written models
- fixed loading of several fields in some models
- added generation of new fields from old data
2014-12-31 12:16:25 +03:00
Julien Nabet
2d5e3b57ea
Fix cppcheck reports warnings:
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(performance) Possible inefficient checking for 'lmap' emptiness
(warning) Assignment of function parameter has no effect outside the function. Did you forget dereferencing it?
(style) Array index '<xxx>' is used before limits check
2014-12-27 10:54:34 +01:00
bartaandras
21227ba092
Fixed calc_output_scale with NO_OUTPUT_SCALE flag set.
2014-11-04 11:35:45 +01:00
Vadim Pisarevsky
b37a641cc9
fixed bug in automatic SVM training
2014-10-18 20:53:39 +04:00
Benoit Seguin
450734cc32
Correction of the integer data treated as floating point data bug, already corrected in the 2.4 branch.
2014-09-23 14:03:20 +02:00
Vadim Pisarevsky
4057e27539
Merge pull request #3126 from avdmitry:move_KDTree_to_ml
2014-09-14 18:57:23 +00:00
Dmitriy Anisimov
a6b29be55b
minor change: moved algorithm type to the end of params
2014-09-13 15:06:07 +04:00
Dmitriy Anisimov
dfaf75f502
moving algorithm type to param
2014-09-06 09:29:32 +04:00
Dmitriy Anisimov
5f3ee657ce
removed kdtree declaration from interface
2014-08-31 21:39:47 +04:00
Dmitriy Anisimov
9ddb23e025
first implementation KNearest wrapper on KDTree
2014-08-23 18:41:32 +04:00
Dmitriy Anisimov
37b1a7560c
first version of moving KDTree from core to ml
2014-08-18 22:40:31 +04:00
Maksim Shabunin
108caae216
Modified logistic regression module according to comments
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- Reworked documentation to reflect actual code
- Removed some unused variables
- Removed unnecessary 'cv::' modifiers
2014-08-18 19:13:59 +04:00
Maksim Shabunin
4667e18831
Updated logistic regression example
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- Extracted common operations to separate functions.
- Activated first parameters set.
- Some output formatting.
- Fixed loop break condition in mini_batch_gradient function.
2014-08-18 19:06:58 +04:00
Maksim Shabunin
3e26086f82
Reworked ML logistic regression implementation, initial version
2014-08-18 19:06:58 +04:00
Maksim Shabunin
71770eb790
Fixed ML module build after merge
2014-08-18 19:06:58 +04:00
Rahul Kavi
a23836231f
fixed warnings in type conversions
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fixed warnings in type conversions from size_t to int (in getting size of number of unique classes in a training problem).
2014-08-18 19:06:58 +04:00
Rahul Kavi
d20b2a5a97
removed extra comments in train method
2014-08-18 19:06:58 +04:00
Rahul Kavi
ae02ecec60
removed a couple of unnecessary comments in Logistic Regression training method
2014-08-18 19:06:58 +04:00
Rahul Kavi
65eb52a247
removed default value from LogisticRegression constructor function definition
2014-08-18 19:06:57 +04:00
Rahul Kavi
8995921cc5
fixed white space in logistic regression classifier
2014-08-18 19:06:57 +04:00
Rahul Kavi
b3b4e83aed
updated logistic regression definition
2014-08-18 19:06:57 +04:00
Rahul Kavi
5bb43f69ab
removed trailing whitespaces from predict function
2014-08-18 19:06:52 +04:00
Rahul Kavi
0e13f33193
rewrote the code to update API, removed inheritance from CvStatModel.
2014-08-18 19:06:48 +04:00
Rahul Kavi
6c74439d56
fixed trailing white-space in logistic regression class
2014-08-18 19:06:48 +04:00
Rahul Kavi
6ae43a2243
added logistic regression classifier
2014-08-18 19:06:48 +04:00
Adil Ibragimov
8a4a1bb018
Several type of formal refactoring:
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1. someMatrix.data -> someMatrix.prt()
2. someMatrix.data + someMatrix.step * lineIndex -> someMatrix.ptr( lineIndex )
3. (SomeType*) someMatrix.data -> someMatrix.ptr<SomeType>()
4. someMatrix.data -> !someMatrix.empty() ( or !someMatrix.data -> someMatrix.empty() ) in logical expressions
2014-08-13 15:21:35 +04:00
Vadim Pisarevsky
05e7c29de5
fixed various warnings and obvious errors reported by clang compiler and the coverity tool.
2014-08-10 00:10:05 +04:00
Vadim Pisarevsky
222f8a3d5e
hopefully fixed test failure on Linux
2014-08-04 01:16:45 +04:00