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539 Commits

Author SHA1 Message Date
Vadim Pisarevsky
fbc221d334 Merge pull request #6096 from mnoskova:mn/SVMSGD_to_opencv3_0 2016-03-12 17:16:35 +00:00
Marina Noskova
3f0a51bda1 Fixed documentation. 2016-02-26 14:40:23 +03:00
Marina Noskova
53711ec29d Deleted default value for parameters in docs. 
Added some asserts.
 2016-02-25 19:12:54 +03:00
Marina Noskova
d484893839 Deleted functions makeTrainData() and makeTestData() in test_svmsgd.cpp. 
Added function makeData() in test_svmsgd.cpp.
 2016-02-25 16:57:03 +03:00
Marina Noskova
74c87a26a5 Delete function areClassesEmpty(). 2016-02-25 15:31:07 +03:00
Marina Noskova
068677ad50 Fixed documentation. 2016-02-24 14:41:51 +03:00
Marina Noskova
9d9a5bbbfd Fixed documentation. 2016-02-24 13:33:43 +03:00
Marina Noskova
f3c4a6aab8 Rename parameters lambda, gamma0 and c. 2016-02-24 13:22:07 +03:00
Marina Noskova
02cd8cf039 Deleted illegal type values. 2016-02-15 15:09:59 +03:00
Marina Noskova
ff54952769 Corrected spelling mistakes 2016-02-15 14:35:36 +03:00
Maksim Shabunin
54abb83c82 ml: moved getTestSamples implementation to src 2016-02-12 12:32:26 +03:00
ahb
15793b1301 add TestData::getTestSamples() 2016-02-12 12:11:10 +03:00
Marina Noskova
5496dedd6a Fixed warnings. 2016-02-10 19:46:24 +03:00
Marina Noskova
0307dd19fd Minor fix in declaration of SVMSGD::setOptimalParameters 2016-02-10 18:21:45 +03:00
Marina Noskova
617dd5db5b Fixed doc/opencv.bib 2016-02-10 17:57:36 +03:00
Marina Noskova
c522172367 Fixed small bug in SVMSGD::clear(). 2016-02-10 16:59:12 +03:00
Marina Noskova
05353a1492 Removed trailing whitespaces 2016-02-10 16:59:12 +03:00
Marina Noskova
41c0a38344 Fixed test samples for tests with different borders 
Added new test (separating two points)
 2016-02-10 16:59:12 +03:00
Marina Noskova
bfdca05f25 Added margin type, added tests with different scales of features. 
Also fixed documentation, refactored sample.
 2016-02-10 16:59:12 +03:00
Marina Noskova
acd74037b3 Increasing the dimension of features space in the SVMSGD::train function. 2016-02-10 16:59:11 +03:00
Marina Noskova
40bf97c6d1 Refactored SVMSGD class 2016-02-10 16:56:14 +03:00
joao.faro
a2f0963d66 SVMSGD class added 2016-02-10 16:53:15 +03:00
Alexander Alekhin
df89e76fb1 Merge pull request #5922 from DarwinsBuddy:fix_no_py_load_svm_bug 2016-01-14 14:44:27 +00:00
Alexander Alekhin
cb0b2bd1af Merge pull request #5965 from amroamroamro:fix_concentric_spheres 2016-01-14 12:09:25 +00:00
Amro
47cdb041f2 fix assignment of class labels 
by using the indices from the sorted distance vector of pairs.
 2016-01-14 02:56:34 +02:00
Amro
542f2b2e3c clean up code for train and predict methods of LR 2016-01-13 20:47:07 +02:00
Amro
e67178c696 fix LR predict with raw output in 2-class case 
In case of binary class, pred_m is initialized as zero vector and later
returned when raw outputs are requested, but it is never filled.
 2016-01-13 19:48:21 +02:00
Christoph Spörk
3f172731b2 added wrapped load function for python as suggested by gat3way 2016-01-11 10:59:15 +01:00
Christoph Spörk
66eda72f66 fixed a doxygen issue 2016-01-07 08:19:06 +01:00
Christoph Spörk
6c8bc6a25b fixed ABI incompatibilities as proposed by alalek 
related to issue 4969
fixes issue 5891
fixes issue 5922
 2016-01-07 08:00:01 +01:00
Christoph Spörk
a7aa198b4c fixing issue #4969 of Itseez/opencv. 
Someone forgot to wrap the load function for SVMs in the
corresponding ml python module. Fixed that.
 2016-01-04 15:47:26 +01:00
berak
5afd0e211e ml: fix NormalBayesClassifier bulk prediction(#5911) 2016-01-04 11:47:08 +01:00
Philip
1ba2286c6d fix uninitialized matrix in EM::predict fixes #5443 
fixes #5443
 2015-12-23 11:19:48 +01:00
Ishank gulati
9636b5e821 reduce k_fold parameter 2015-12-22 15:47:11 +05:30
Dikay900
4f3b58d1e7 fix reshape call not being an inplace method 
fixes #5853 #4740
 2015-12-21 21:10:35 +01:00
Vadim Pisarevsky
e0395a79ec Merge pull request #5616 from afriesen:lr_predict 2015-12-11 12:22:56 +00:00
Vadim Pisarevsky
7a7b0bcfcb fixed the upper boundary when calling checkRange (thanks to alalek) 2015-12-10 20:17:17 +03:00
Deanna Hood
0d706f6796 Return uncompressed support vectors for getSupportVectors on linear SVM (Bug #4096) 2015-12-10 18:31:02 +03:00
Vadim Pisarevsky
544990e377 couple of small fixes in rtrees variable importance calculation 2015-12-10 18:13:54 +03:00
Vadim Pisarevsky
fda17273de applying patch by rxtsolar: https://github.com/Itseez/opencv/pull/5422 for the master branch (even though it's actually not that important here) 2015-12-10 18:10:27 +03:00
niederb
d8e3971e7f Fixed variable importance in rtrees 2015-12-10 18:09:15 +03:00
Tian Zhi
f0434d60b0 fixed the type inconsistent with document. 
Document say probs will have CV_64F type. But in effect, it has CV_32F type.
http://docs.opencv.org/3.0.0/d1/dfb/classcv_1_1ml_1_1EM.html#a2ea7da92a75bc7a7d665c241f547b9b9
 2015-11-12 02:54:18 +08:00
Vadim Pisarevsky
18f4e55692 Merge pull request #5472 from StevenPuttemans:remove_unexisting_function 2015-11-10 16:14:43 +00:00
Abe Friesen
9c6ff4d955 - LogisticRegressionImpl::predict() was changed to return the predicted value and to only write to the OutputArray results if specified (no longer segfaults). 
- Refactored batch and mini_batch training to use a common gradient computation function (removed duplicate code).
- Altered the cost computation so that NAN is not computed unnecessarily.
- Greatly simplified (and sped up) the code that appends a column of 1s to the data.
- Minor code cleanup.

Removed unused variables.

Added cast to float to remove warning
 2015-11-02 17:49:06 -08:00
Alexander Alekhin
dfec99691b Merge pull request #5370 from berak:fix_svm_autoTrain 2015-10-26 10:47:29 +00:00
Alexander Alekhin
1648e9292c Merge pull request #5431 from MiguelAlgaba:em_one_cluster 2015-10-19 15:27:35 +00:00
Amro
13a0a37e63 fix randMVNormal in ML (#5469) 
Fix the failed assertion by replacing the GEMM call.

Also random numbers are generated from normal distribution ~N(0,1),
instead of uniform distribution ~U(0,1).
 2015-10-11 01:54:11 +03:00
StevenPuttemans
47db20eced removing unexisting functionality in ML header 2015-10-08 11:10:05 +02:00
Miguel Algaba
b71a27b96c Assert fix: allow one cluster as valid parameter 2015-10-01 16:45:59 +02:00
berak
74fc9acdd1 initialize temp_train_samples in SVM::autoTrain 
add smoke test
 2015-09-23 11:08:48 +02:00
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 
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
Vadim Pisarevsky
32c386786e Merge pull request #5294 from LorenaGdL:master 2015-09-09 13:41:39 +00:00
Lorena García
4e7bd86fad TrainData doc update 
Update docs according to PR #5127
 2015-09-03 05:52:04 +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 
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
berak
d9148ea604 Update ml.hpp 
misplaced CV_WRAP statement lead to not exposing EM::getCovs() to python/java/matlab wrappers

add a CV_OUT to return the covs properly
 2015-07-25 08:22:39 +02:00
Jie Yang
2ba0d31785 Fix SVM::trainAuto (Bug #4464) 
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
Maksim Shabunin
c137ba53a0 Wrap ANN_MLP class into Python 2015-05-06 15:21:23 +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: 
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; 
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
Vadim Pisarevsky
d7cb99254e Merge pull request #3858 from MSOpenTech:fix-ml-test 2015-03-24 15:09:53 +00:00
Evgeny Agafonchikov
91bd7df8c1 Fixing invalid opencv_test_ml calls 2015-03-20 17:49:03 +03:00
Maksim Shabunin
9f08310307 Disabled TrainData::getNormCatValues wrapping due to pointer in parameters 2015-03-19 15:45:34 +03:00
Maksim Shabunin
5709ec85d7 Disabled missing python method for static ml function 2015-03-19 15:11:49 +03:00
Maksim Shabunin
5247eacc3c Add python and java support for ml module 2015-03-19 13:22:30 +03:00
Maksim Shabunin
7335a40a61 Replaced CV_PURE_PROPERTY macros with corresponding code 2015-03-18 17:23:42 +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. 
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 
- updated return value of points_classifier sample
 2015-02-03 18:16:20 +03:00
Maksim Shabunin
53c9460454 Reorganized ML module documentation 
- fixed one BiB record
- moved algorithms overview to separate page
- added docs for some enumerations
- fixed some small documentation errors
 2015-01-23 23:43:06 +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 
- 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
Vadim Pisarevsky
1c8493fb0d Merge pull request #3549 from mshabunin:sphinx-doc-remove 2014-12-31 09:14:22 +00:00
Julien Nabet
2d5e3b57ea Fix cppcheck reports warnings: 
(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
Maksim Shabunin
d01bedbc61 Removed Sphinx documentation files 2014-12-26 19:12:19 +03:00
TobyWanKenobi
b35f5d115f Removed "FORMAT_XML" to generalize format 
Removed the "FileStorage::FORMAT_XML" to generalize format of the String
model.
 2014-12-08 09:21:55 +01:00
TobyWanKenobi
f54b80d2c8 Re-edition of documentation 
Re-edited the documentation again.
 2014-12-03 17:13:11 +01:00
TobyWanKenobi
b3bba3476d Re-editing Documentation 
Attempting to re-editing the documentation, to satisfy buildbot error
status.
 2014-12-03 15:54:25 +01:00
TobyWanKenobi
270af2ca79 Changing tabs to spaces. 
Edited previous code to change tabs into spaces.
 2014-12-03 15:40:12 +01:00
TobyWanKenobi
a1e04c98aa Add method in StatModel class, to load from String 
Added a method "loadFromString" which is based on the "load" one. It
allow to directly pass the XML string which can be usefull and faster
when you have a huge file in a variable.
 2014-12-02 15:15:06 +01:00
Maksim Shabunin
03e213ccae Doxygen documentation: BiB references and fixes 2014-12-01 15:50:55 +03:00
Maksim Shabunin
1523fdcc1c Doxygen documentation: more fixes and cleanups 2014-12-01 15:50:36 +03:00
Maksim Shabunin
8e9ea0e3d1 Doxygen doucmentation: ml module 2014-12-01 15:47:13 +03:00
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 
- 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 
- 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 
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
f20db35b78 fixed logistic regression documentation warnings 2014-08-18 19:06:58 +04:00
Rahul Kavi
21de04b4a2 fixed default constructor for LogisticRegression class declaration 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
e7f14f3d0e fixed missing semicolon in logistic regression documentation 2014-08-18 19:06:57 +04:00
Rahul Kavi
3622de2621 updated mini_batch_size description for LogisticRegressionParams in documentation 2014-08-18 19:06:57 +04:00
Rahul Kavi
e4ef0e0ca8 fixed indentation in logistic regression documentation 2014-08-18 19:06:57 +04:00
Rahul Kavi
7c97dbc196 fixed indentation in logistic regression documentation 2014-08-18 19:06:57 +04:00
Rahul Kavi
aa35835cfc fixed white space in logistic regression prototype 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
a9df50eefc updated test for logistic regression 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
95ea09c3dc updated prototype for logistic regression classifier 2014-08-18 19:06:57 +04:00
Rahul Kavi
bf2ee3c58a updated prototype for logistic regression classifier 2014-08-18 19:06:52 +04:00
Rahul Kavi
3a6deb3ed3 updated documentation to reflect new api changes for logistic regression 2014-08-18 19:06:52 +04:00
Rahul Kavi
af88f0c067 updated documentation to do reflect changes to logistic regression class 2014-08-18 19:06:52 +04:00
Rahul Kavi
1652b2a443 fixed trailing whitespaces in LogisticRegression code. 2014-08-18 19:06:52 +04:00
Rahul Kavi
5bb43f69ab removed trailing whitespaces from predict function 2014-08-18 19:06:52 +04:00
Rahul Kavi
50031ffb15 removed trailing whitespaces from updated logistic regression definition 2014-08-18 19:06:52 +04:00
Rahul Kavi
78f3b0ad1f removed unnecessary semicolon in LogisticRegression class documentation 2014-08-18 19:06:52 +04:00
Rahul Kavi
56d715b091 fixed typedef for LogisticRegression. Updated LogisticRegression prototype with newer C++ API 2014-08-18 19:06:52 +04:00
Rahul Kavi
e4a90c19cc updated documentation to reflect newer changes to LogisticRegression class 2014-08-18 19:06:48 +04:00
Rahul Kavi
64aaa6e1ae updated test for logistic regression after changes to LogisticRegression class 2014-08-18 19:06:48 +04:00
Rahul Kavi
d5ad4f3255 added updated logistic regression prototype with newer C++ API 2014-08-18 19:06:48 +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
Rahul Kavi
fcfeb2451b added logistic regression prototype 2014-08-18 19:06:48 +04:00
Rahul Kavi
3039ed7682 added test for logistic regression 2014-08-18 19:06:36 +04:00
Rahul Kavi
3bf6c3c2aa added documentation for logistic regression classifier 2014-08-18 19:06:36 +04:00
Rahul Kavi
b9902f39b7 added reference to logistic regression document 2014-08-18 19:06:36 +04:00
Adil Ibragimov
8a4a1bb018 Several type of formal refactoring: 
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
Vadim Pisarevsky
24b01a8e4f continuing to debug boost and fix MSVC compile errors 2014-08-03 21:21:11 +04:00
Vadim Pisarevsky
98a1181240 fixed the condition 2014-08-03 13:15:43 +04:00
Vadim Pisarevsky
79b593d8d8 more fixes and more debugging code 2014-08-03 13:08:03 +04:00
Vadim Pisarevsky
eeb786fcfd fixed compile warnings from MSVC; fixed warnings in Python bindings; added some debugging code 2014-08-03 12:46:28 +04:00
Vadim Pisarevsky
8e9d1d9fe6 temporarily disabled java bindings for ml; hopefully fixed warnings etc. 2014-08-03 04:28:20 +04:00
Vadim Pisarevsky
2520e335d1 removed many extra whitespaces; fixed 1 warning 2014-08-03 03:08:25 +04:00
Vadim Pisarevsky
28ca6ac05e fixed building html docs 2014-08-03 02:34:47 +04:00