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complete_profiling.txt
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complete_profiling.txt
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Flat profile:
Each sample counts as 0.01 seconds.
% cumulative self self total
time seconds seconds calls ms/call ms/call name
83.95 2474.05 2474.05 10025000 0.25 0.25 Covariance(double*, double*, int)
3.36 2572.99 98.94 5000 19.79 520.32 FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat)
3.07 2663.51 90.52 1346600000 0.00 0.00 FernTrain::ApplyMini(cv::Mat, std::vector<double, std::allocator<double> >&) const
2.15 2726.85 63.35 RegressorTrain::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, DataPoint const&) const
2.05 2787.41 60.56 cv::Mat::~Mat()
1.41 2828.87 41.46 1346600000 0.00 0.00 FernTrain::Apply(cv::Mat) const
0.97 2857.54 28.66 1349293200 0.00 0.00 ShapeAdjustment(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
0.92 2884.65 27.11 1349293200 0.00 0.00 ShapeDifference(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
0.69 2905.13 20.48 RegressorTrain::Regress(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, std::vector<DataPoint, std::allocator<DataPoint> > const&)
0.67 2924.92 19.79 160000 0.12 0.12 OMP(cv::Mat, cv::Mat, int)
0.50 2939.70 14.78 cv::MatExpr::~MatExpr()
0.15 2944.10 4.40 std::__cxx11::to_string(int)
0.07 2946.07 1.97 10772810 0.00 0.00 Transform::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, bool)
0.04 2947.17 1.10 10907460 0.00 0.00 Procrustes(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
0.00 2947.22 0.05 219 0.23 0.23 void std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_realloc_insert<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&>(__gnu_cxx::__normal_iterator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > > >, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
0.00 2947.27 0.05 1 50.01 50.01 FernTrain::FernTrain(TrainingParameters const&)
0.00 2947.31 0.04 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&)
0.00 2947.34 0.03 5000 0.01 0.01 FernTrain::write(cv::FileStorage&) const
0.00 2947.37 0.03 RegressorTrain::CompressFerns()
0.00 2947.39 0.02 1 20.00 30.00 ArgumentData(std::vector<DataPoint, std::allocator<DataPoint> > const&, int)
0.00 2947.40 0.01 596066 0.00 0.00 frame_dummy
0.00 2947.41 0.01 1 10.00 23.58 MeanShape(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >, TrainingParameters const&)
0.00 2947.42 0.01 GetTrainingData(TrainingParameters const&)
0.00 2947.42 0.00 1185008 0.00 0.00 void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> const&>(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double> const&)
0.00 2947.42 0.00 640000 0.00 0.00 void std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >::_M_realloc_insert<std::pair<int, double> >(__gnu_cxx::__normal_iterator<std::pair<int, double>*, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > >, std::pair<int, double>&&)
0.00 2947.42 0.00 282786 0.00 0.00 MapShape(cv::Rect_<int>, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, cv::Rect_<int>)
0.00 2947.42 0.00 5500 0.00 0.00 std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >*>(__gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, __gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >*)
0.00 2947.42 0.00 5000 0.00 0.00 write(cv::FileStorage&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, FernTrain const&)
0.00 2947.42 0.00 5000 0.00 0.00 std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_fill_assign(unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
0.00 2947.42 0.00 5000 0.00 0.00 std::vector<std::pair<int, int>, std::allocator<std::pair<int, int> > >::_M_fill_assign(unsigned long, std::pair<int, int> const&)
0.00 2947.42 0.00 5000 0.00 0.00 std::vector<double, std::allocator<double> >::_M_fill_assign(unsigned long, double const&)
0.00 2947.42 0.00 5000 0.00 0.00 std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >* std::__do_uninit_fill_n<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
0.00 2947.42 0.00 90 0.00 0.00 TrimStr(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)
0.00 2947.42 0.00 30 0.00 0.00 DataPoint* std::__do_uninit_copy<DataPoint const*, DataPoint*>(DataPoint const*, DataPoint const*, DataPoint*)
0.00 2947.42 0.00 20 0.00 0.00 void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> >(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double>&&)
0.00 2947.42 0.00 15 0.00 0.00 void std::vector<DataPoint, std::allocator<DataPoint> >::_M_realloc_insert<DataPoint const&>(__gnu_cxx::__normal_iterator<DataPoint*, std::vector<DataPoint, std::allocator<DataPoint> > >, DataPoint const&)
0.00 2947.42 0.00 15 0.00 0.00 std::_Rb_tree<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::_Select1st<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_get_insert_hint_unique_pos(std::_Rb_tree_const_iterator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)
0.00 2947.42 0.00 10 0.00 86.40 ComputeNormalizedTargets(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::vector<DataPoint, std::allocator<DataPoint> > const&)
0.00 2947.42 0.00 10 0.00 0.00 FernTrain* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*>(__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, __gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*)
0.00 2947.42 0.00 1 0.00 0.00 _GLOBAL__sub_I__Z14ReadParametersRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE
0.00 2947.42 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN9FernTrainC2ERK18TrainingParameters
0.00 2947.42 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN9Transform5ApplyEPSt6vectorIN2cv6Point_IdEESaIS3_EEb
0.00 2947.42 0.00 1 0.00 0.91 CreateTestInitShapes(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&)
0.00 2947.42 0.00 1 0.00 0.00 std::_Rb_tree<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::_Select1st<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_get_insert_unique_pos(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)
0.00 2947.42 0.00 1 0.00 0.00 RegressorTrain* std::__do_uninit_fill_n<RegressorTrain*, unsigned long, RegressorTrain>(RegressorTrain*, unsigned long, RegressorTrain const&)
% the percentage of the total running time of the
time program used by this function.
cumulative a running sum of the number of seconds accounted
seconds for by this function and those listed above it.
self the number of seconds accounted for by this
seconds function alone. This is the major sort for this
listing.
calls the number of times this function was invoked, if
this function is profiled, else blank.
self the average number of milliseconds spent in this
ms/call function per call, if this function is profiled,
else blank.
total the average number of milliseconds spent in this
ms/call function and its descendents per call, if this
function is profiled, else blank.
name the name of the function. This is the minor sort
for this listing. The index shows the location of
the function in the gprof listing. If the index is
in parenthesis it shows where it would appear in
the gprof listing if it were to be printed.
Copyright (C) 2012-2016 Free Software Foundation, Inc.
Copying and distribution of this file, with or without modification,
are permitted in any medium without royalty provided the copyright
notice and this notice are preserved.
Call graph (explanation follows)
granularity: each sample hit covers 2 byte(s) for 0.00% of 2947.42 seconds
index % time self children called name
<spontaneous>
[1] 91.3 20.48 2670.88 RegressorTrain::Regress(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, std::vector<DataPoint, std::allocator<DataPoint> > const&) [1]
98.94 2502.66 5000/5000 FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat) [2]
41.46 0.00 1346600000/1346600000 FernTrain::Apply(cv::Mat) const [7]
27.06 0.00 1346600000/1349293200 ShapeDifference(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [9]
0.49 0.00 2693200/10772810 Transform::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, bool) [14]
0.27 0.00 2693200/10907460 Procrustes(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [16]
-----------------------------------------------
98.94 2502.66 5000/5000 RegressorTrain::Regress(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, std::vector<DataPoint, std::allocator<DataPoint> > const&) [1]
[2] 88.3 98.94 2502.66 5000 FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat) [2]
2474.05 0.00 10025000/10025000 Covariance(double*, double*, int) [3]
28.61 0.00 1346600000/1349293200 ShapeAdjustment(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [8]
0.00 0.00 5000/5000 std::vector<std::pair<int, int>, std::allocator<std::pair<int, int> > >::_M_fill_assign(unsigned long, std::pair<int, int> const&) [41]
0.00 0.00 5000/5000 std::vector<double, std::allocator<double> >::_M_fill_assign(unsigned long, double const&) [42]
0.00 0.00 5000/5000 std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_fill_assign(unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [40]
-----------------------------------------------
2474.05 0.00 10025000/10025000 FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat) [2]
[3] 83.9 2474.05 0.00 10025000 Covariance(double*, double*, int) [3]
-----------------------------------------------
<spontaneous>
[4] 5.2 63.35 91.28 RegressorTrain::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, DataPoint const&) const [4]
90.52 0.00 1346600000/1346600000 FernTrain::ApplyMini(cv::Mat, std::vector<double, std::allocator<double> >&) const [5]
0.49 0.00 2693200/10772810 Transform::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, bool) [14]
0.27 0.00 2693200/10907460 Procrustes(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [16]
-----------------------------------------------
90.52 0.00 1346600000/1346600000 RegressorTrain::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, DataPoint const&) const [4]
[5] 3.1 90.52 0.00 1346600000 FernTrain::ApplyMini(cv::Mat, std::vector<double, std::allocator<double> >&) const [5]
-----------------------------------------------
<spontaneous>
[6] 2.1 60.56 0.00 cv::Mat::~Mat() [6]
-----------------------------------------------
41.46 0.00 1346600000/1346600000 RegressorTrain::Regress(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, std::vector<DataPoint, std::allocator<DataPoint> > const&) [1]
[7] 1.4 41.46 0.00 1346600000 FernTrain::Apply(cv::Mat) const [7]
-----------------------------------------------
0.06 0.00 2693200/1349293200 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
28.61 0.00 1346600000/1349293200 FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat) [2]
[8] 1.0 28.66 0.00 1349293200 ShapeAdjustment(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [8]
-----------------------------------------------
0.05 0.00 2693200/1349293200 ComputeNormalizedTargets(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::vector<DataPoint, std::allocator<DataPoint> > const&) [17]
27.06 0.00 1346600000/1349293200 RegressorTrain::Regress(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, std::vector<DataPoint, std::allocator<DataPoint> > const&) [1]
[9] 0.9 27.11 0.00 1349293200 ShapeDifference(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [9]
-----------------------------------------------
<spontaneous>
[10] 0.7 0.03 19.79 RegressorTrain::CompressFerns() [10]
19.79 0.00 160000/160000 OMP(cv::Mat, cv::Mat, int) [11]
-----------------------------------------------
19.79 0.00 160000/160000 RegressorTrain::CompressFerns() [10]
[11] 0.7 19.79 0.00 160000 OMP(cv::Mat, cv::Mat, int) [11]
0.00 0.00 640000/640000 void std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >::_M_realloc_insert<std::pair<int, double> >(__gnu_cxx::__normal_iterator<std::pair<int, double>*, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > >, std::pair<int, double>&&) [36]
-----------------------------------------------
<spontaneous>
[12] 0.5 14.78 0.00 cv::MatExpr::~MatExpr() [12]
-----------------------------------------------
<spontaneous>
[13] 0.1 4.40 0.00 std::__cxx11::to_string(int) [13]
-----------------------------------------------
0.00 0.00 10/10772810 MeanShape(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >, TrainingParameters const&) [24]
0.49 0.00 2693200/10772810 ComputeNormalizedTargets(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::vector<DataPoint, std::allocator<DataPoint> > const&) [17]
0.49 0.00 2693200/10772810 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
0.49 0.00 2693200/10772810 RegressorTrain::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, DataPoint const&) const [4]
0.49 0.00 2693200/10772810 RegressorTrain::Regress(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, std::vector<DataPoint, std::allocator<DataPoint> > const&) [1]
[14] 0.1 1.97 0.00 10772810 Transform::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, bool) [14]
-----------------------------------------------
<spontaneous>
[15] 0.1 0.04 1.74 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
0.00 0.86 10/10 ComputeNormalizedTargets(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::vector<DataPoint, std::allocator<DataPoint> > const&) [17]
0.49 0.00 2693200/10772810 Transform::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, bool) [14]
0.27 0.00 2693200/10907460 Procrustes(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [16]
0.06 0.00 2693200/1349293200 ShapeAdjustment(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [8]
0.02 0.01 1/1 ArgumentData(std::vector<DataPoint, std::allocator<DataPoint> > const&, int) [23]
0.01 0.01 1/1 MeanShape(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >, TrainingParameters const&) [24]
0.00 0.00 15/219 void std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_realloc_insert<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&>(__gnu_cxx::__normal_iterator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > > >, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [18]
0.00 0.00 1/1 CreateTestInitShapes(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [27]
0.00 0.00 1/1 RegressorTrain* std::__do_uninit_fill_n<RegressorTrain*, unsigned long, RegressorTrain>(RegressorTrain*, unsigned long, RegressorTrain const&) [54]
-----------------------------------------------
0.01 0.00 134660/10907460 MeanShape(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >, TrainingParameters const&) [24]
0.27 0.00 2693200/10907460 ComputeNormalizedTargets(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::vector<DataPoint, std::allocator<DataPoint> > const&) [17]
0.27 0.00 2693200/10907460 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
0.27 0.00 2693200/10907460 RegressorTrain::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, DataPoint const&) const [4]
0.27 0.00 2693200/10907460 RegressorTrain::Regress(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, std::vector<DataPoint, std::allocator<DataPoint> > const&) [1]
[16] 0.0 1.10 0.00 10907460 Procrustes(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [16]
-----------------------------------------------
0.00 0.86 10/10 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
[17] 0.0 0.00 0.86 10 ComputeNormalizedTargets(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::vector<DataPoint, std::allocator<DataPoint> > const&) [17]
0.49 0.00 2693200/10772810 Transform::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, bool) [14]
0.27 0.00 2693200/10907460 Procrustes(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [16]
0.05 0.00 2693200/1349293200 ShapeDifference(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [9]
0.05 0.00 200/219 void std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_realloc_insert<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&>(__gnu_cxx::__normal_iterator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > > >, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [18]
-----------------------------------------------
0.00 0.00 4/219 CreateTestInitShapes(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [27]
0.00 0.00 15/219 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
0.05 0.00 200/219 ComputeNormalizedTargets(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::vector<DataPoint, std::allocator<DataPoint> > const&) [17]
[18] 0.0 0.05 0.00 219 void std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_realloc_insert<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&>(__gnu_cxx::__normal_iterator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > > >, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [18]
-----------------------------------------------
0.05 0.00 1/1 RegressorTrain::RegressorTrain(TrainingParameters const&) [20]
[19] 0.0 0.05 0.00 1 FernTrain::FernTrain(TrainingParameters const&) [19]
-----------------------------------------------
<spontaneous>
[20] 0.0 0.00 0.05 RegressorTrain::RegressorTrain(TrainingParameters const&) [20]
0.05 0.00 1/1 FernTrain::FernTrain(TrainingParameters const&) [19]
-----------------------------------------------
0.03 0.00 5000/5000 RegressorTrain::write(cv::FileStorage&) const [22]
[21] 0.0 0.03 0.00 5000 FernTrain::write(cv::FileStorage&) const [21]
-----------------------------------------------
<spontaneous>
[22] 0.0 0.00 0.03 RegressorTrain::write(cv::FileStorage&) const [22]
0.03 0.00 5000/5000 FernTrain::write(cv::FileStorage&) const [21]
0.00 0.00 5000/5000 write(cv::FileStorage&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, FernTrain const&) [39]
-----------------------------------------------
0.02 0.01 1/1 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
[23] 0.0 0.02 0.01 1 ArgumentData(std::vector<DataPoint, std::allocator<DataPoint> > const&, int) [23]
0.01 0.00 596049/596066 frame_dummy [25]
0.00 0.00 269320/282786 MapShape(cv::Rect_<int>, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, cv::Rect_<int>) [37]
-----------------------------------------------
0.01 0.01 1/1 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
[24] 0.0 0.01 0.01 1 MeanShape(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >, TrainingParameters const&) [24]
0.01 0.00 134660/10907460 Procrustes(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [16]
0.00 0.00 10/10772810 Transform::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, bool) [14]
-----------------------------------------------
0.00 0.00 17/596066 ReadParameters(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [28]
0.01 0.00 596049/596066 ArgumentData(std::vector<DataPoint, std::allocator<DataPoint> > const&, int) [23]
[25] 0.0 0.01 0.00 596066 frame_dummy [25]
-----------------------------------------------
<spontaneous>
[26] 0.0 0.01 0.00 GetTrainingData(TrainingParameters const&) [26]
0.00 0.00 53864/1185008 void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> const&>(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double> const&) [35]
0.00 0.00 15/15 void std::vector<DataPoint, std::allocator<DataPoint> >::_M_realloc_insert<DataPoint const&>(__gnu_cxx::__normal_iterator<DataPoint*, std::vector<DataPoint, std::allocator<DataPoint> > >, DataPoint const&) [47]
-----------------------------------------------
0.00 0.00 1/1 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
[27] 0.0 0.00 0.00 1 CreateTestInitShapes(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [27]
0.00 0.00 4/219 void std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_realloc_insert<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&>(__gnu_cxx::__normal_iterator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > > >, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [18]
0.00 0.00 13466/282786 MapShape(cv::Rect_<int>, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, cv::Rect_<int>) [37]
0.00 0.00 20/20 void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> >(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double>&&) [46]
-----------------------------------------------
<spontaneous>
[28] 0.0 0.00 0.00 ReadParameters(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [28]
0.00 0.00 17/596066 frame_dummy [25]
0.00 0.00 90/90 TrimStr(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [44]
0.00 0.00 15/15 std::_Rb_tree<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::_Select1st<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_get_insert_hint_unique_pos(std::_Rb_tree_const_iterator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [48]
0.00 0.00 1/1 std::_Rb_tree<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::_Select1st<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_get_insert_unique_pos(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [53]
-----------------------------------------------
0.00 0.00 53864/1185008 GetTrainingData(TrainingParameters const&) [26]
0.00 0.00 1131144/1185008 MapShape(cv::Rect_<int>, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, cv::Rect_<int>) [37]
[35] 0.0 0.00 0.00 1185008 void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> const&>(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double> const&) [35]
-----------------------------------------------
0.00 0.00 640000/640000 OMP(cv::Mat, cv::Mat, int) [11]
[36] 0.0 0.00 0.00 640000 void std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >::_M_realloc_insert<std::pair<int, double> >(__gnu_cxx::__normal_iterator<std::pair<int, double>*, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > >, std::pair<int, double>&&) [36]
-----------------------------------------------
0.00 0.00 13466/282786 CreateTestInitShapes(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [27]
0.00 0.00 269320/282786 ArgumentData(std::vector<DataPoint, std::allocator<DataPoint> > const&, int) [23]
[37] 0.0 0.00 0.00 282786 MapShape(cv::Rect_<int>, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, cv::Rect_<int>) [37]
0.00 0.00 1131144/1185008 void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> const&>(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double> const&) [35]
-----------------------------------------------
0.00 0.00 500/5500 FernTrain* std::__do_uninit_fill_n<FernTrain*, unsigned long, FernTrain>(FernTrain*, unsigned long, FernTrain const&) [167]
0.00 0.00 5000/5500 FernTrain* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*>(__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, __gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*) [49]
[38] 0.0 0.00 0.00 5500 std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >*>(__gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, __gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >*) [38]
-----------------------------------------------
0.00 0.00 5000/5000 RegressorTrain::write(cv::FileStorage&) const [22]
[39] 0.0 0.00 0.00 5000 write(cv::FileStorage&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, FernTrain const&) [39]
-----------------------------------------------
0.00 0.00 5000/5000 FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat) [2]
[40] 0.0 0.00 0.00 5000 std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_fill_assign(unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [40]
0.00 0.00 5000/5000 std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >* std::__do_uninit_fill_n<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [43]
-----------------------------------------------
0.00 0.00 5000/5000 FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat) [2]
[41] 0.0 0.00 0.00 5000 std::vector<std::pair<int, int>, std::allocator<std::pair<int, int> > >::_M_fill_assign(unsigned long, std::pair<int, int> const&) [41]
-----------------------------------------------
0.00 0.00 5000/5000 FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat) [2]
[42] 0.0 0.00 0.00 5000 std::vector<double, std::allocator<double> >::_M_fill_assign(unsigned long, double const&) [42]
-----------------------------------------------
0.00 0.00 5000/5000 std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_fill_assign(unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [40]
[43] 0.0 0.00 0.00 5000 std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >* std::__do_uninit_fill_n<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [43]
-----------------------------------------------
0.00 0.00 90/90 ReadParameters(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [28]
[44] 0.0 0.00 0.00 90 TrimStr(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [44]
-----------------------------------------------
0.00 0.00 30/30 void std::vector<DataPoint, std::allocator<DataPoint> >::_M_realloc_insert<DataPoint const&>(__gnu_cxx::__normal_iterator<DataPoint*, std::vector<DataPoint, std::allocator<DataPoint> > >, DataPoint const&) [47]
[45] 0.0 0.00 0.00 30 DataPoint* std::__do_uninit_copy<DataPoint const*, DataPoint*>(DataPoint const*, DataPoint const*, DataPoint*) [45]
-----------------------------------------------
0.00 0.00 20/20 CreateTestInitShapes(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [27]
[46] 0.0 0.00 0.00 20 void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> >(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double>&&) [46]
-----------------------------------------------
0.00 0.00 15/15 GetTrainingData(TrainingParameters const&) [26]
[47] 0.0 0.00 0.00 15 void std::vector<DataPoint, std::allocator<DataPoint> >::_M_realloc_insert<DataPoint const&>(__gnu_cxx::__normal_iterator<DataPoint*, std::vector<DataPoint, std::allocator<DataPoint> > >, DataPoint const&) [47]
0.00 0.00 30/30 DataPoint* std::__do_uninit_copy<DataPoint const*, DataPoint*>(DataPoint const*, DataPoint const*, DataPoint*) [45]
-----------------------------------------------
0.00 0.00 15/15 ReadParameters(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [28]
[48] 0.0 0.00 0.00 15 std::_Rb_tree<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::_Select1st<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_get_insert_hint_unique_pos(std::_Rb_tree_const_iterator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [48]
-----------------------------------------------
0.00 0.00 10/10 RegressorTrain* std::__do_uninit_fill_n<RegressorTrain*, unsigned long, RegressorTrain>(RegressorTrain*, unsigned long, RegressorTrain const&) [54]
[49] 0.0 0.00 0.00 10 FernTrain* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*>(__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, __gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*) [49]
0.00 0.00 5000/5500 std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >*>(__gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, __gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >*) [38]
-----------------------------------------------
0.00 0.00 1/1 __libc_csu_init [174]
[50] 0.0 0.00 0.00 1 _GLOBAL__sub_I__Z14ReadParametersRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE [50]
-----------------------------------------------
0.00 0.00 1/1 __libc_csu_init [174]
[51] 0.0 0.00 0.00 1 _GLOBAL__sub_I__ZN9FernTrainC2ERK18TrainingParameters [51]
-----------------------------------------------
0.00 0.00 1/1 __libc_csu_init [174]
[52] 0.0 0.00 0.00 1 _GLOBAL__sub_I__ZN9Transform5ApplyEPSt6vectorIN2cv6Point_IdEESaIS3_EEb [52]
-----------------------------------------------
0.00 0.00 1/1 ReadParameters(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [28]
[53] 0.0 0.00 0.00 1 std::_Rb_tree<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::_Select1st<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_get_insert_unique_pos(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [53]
-----------------------------------------------
0.00 0.00 1/1 TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [15]
[54] 0.0 0.00 0.00 1 RegressorTrain* std::__do_uninit_fill_n<RegressorTrain*, unsigned long, RegressorTrain>(RegressorTrain*, unsigned long, RegressorTrain const&) [54]
0.00 0.00 10/10 FernTrain* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*>(__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, __gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*) [49]
-----------------------------------------------
This table describes the call tree of the program, and was sorted by
the total amount of time spent in each function and its children.
Each entry in this table consists of several lines. The line with the
index number at the left hand margin lists the current function.
The lines above it list the functions that called this function,
and the lines below it list the functions this one called.
This line lists:
index A unique number given to each element of the table.
Index numbers are sorted numerically.
The index number is printed next to every function name so
it is easier to look up where the function is in the table.
% time This is the percentage of the `total' time that was spent
in this function and its children. Note that due to
different viewpoints, functions excluded by options, etc,
these numbers will NOT add up to 100%.
self This is the total amount of time spent in this function.
children This is the total amount of time propagated into this
function by its children.
called This is the number of times the function was called.
If the function called itself recursively, the number
only includes non-recursive calls, and is followed by
a `+' and the number of recursive calls.
name The name of the current function. The index number is
printed after it. If the function is a member of a
cycle, the cycle number is printed between the
function's name and the index number.
For the function's parents, the fields have the following meanings:
self This is the amount of time that was propagated directly
from the function into this parent.
children This is the amount of time that was propagated from
the function's children into this parent.
called This is the number of times this parent called the
function `/' the total number of times the function
was called. Recursive calls to the function are not
included in the number after the `/'.
name This is the name of the parent. The parent's index
number is printed after it. If the parent is a
member of a cycle, the cycle number is printed between
the name and the index number.
If the parents of the function cannot be determined, the word
`<spontaneous>' is printed in the `name' field, and all the other
fields are blank.
For the function's children, the fields have the following meanings:
self This is the amount of time that was propagated directly
from the child into the function.
children This is the amount of time that was propagated from the
child's children to the function.
called This is the number of times the function called
this child `/' the total number of times the child
was called. Recursive calls by the child are not
listed in the number after the `/'.
name This is the name of the child. The child's index
number is printed after it. If the child is a
member of a cycle, the cycle number is printed
between the name and the index number.
If there are any cycles (circles) in the call graph, there is an
entry for the cycle-as-a-whole. This entry shows who called the
cycle (as parents) and the members of the cycle (as children.)
The `+' recursive calls entry shows the number of function calls that
were internal to the cycle, and the calls entry for each member shows,
for that member, how many times it was called from other members of
the cycle.
Copyright (C) 2012-2016 Free Software Foundation, Inc.
Copying and distribution of this file, with or without modification,
are permitted in any medium without royalty provided the copyright
notice and this notice are preserved.
Index by function name
[50] _GLOBAL__sub_I__Z14ReadParametersRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE [37] MapShape(cv::Rect_<int>, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, cv::Rect_<int>) [46] void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> >(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double>&&)
[51] _GLOBAL__sub_I__ZN9FernTrainC2ERK18TrainingParameters [24] MeanShape(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >, TrainingParameters const&) [40] std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_fill_assign(unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
[52] _GLOBAL__sub_I__ZN9Transform5ApplyEPSt6vectorIN2cv6Point_IdEESaIS3_EEb [10] RegressorTrain::CompressFerns() [18] void std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >::_M_realloc_insert<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&>(__gnu_cxx::__normal_iterator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > > >, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
[3] Covariance(double*, double*, int) [1] RegressorTrain::Regress(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, std::vector<DataPoint, std::allocator<DataPoint> > const&) [36] void std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >::_M_realloc_insert<std::pair<int, double> >(__gnu_cxx::__normal_iterator<std::pair<int, double>*, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > >, std::pair<int, double>&&)
[16] Procrustes(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [6] cv::Mat::~Mat() [41] std::vector<std::pair<int, int>, std::allocator<std::pair<int, int> > >::_M_fill_assign(unsigned long, std::pair<int, int> const&)
[15] TrainModel(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [12] cv::MatExpr::~MatExpr() [42] std::vector<double, std::allocator<double> >::_M_fill_assign(unsigned long, double const&)
[23] ArgumentData(std::vector<DataPoint, std::allocator<DataPoint> > const&, int) [2] FernTrain::Regress(std::vector<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::allocator<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > > >*, cv::Mat, cv::Mat) [13] std::__cxx11::to_string(int)
[26] GetTrainingData(TrainingParameters const&) [19] FernTrain::FernTrain(TrainingParameters const&) [53] std::_Rb_tree<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::_Select1st<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_get_insert_unique_pos(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)
[8] ShapeAdjustment(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [14] Transform::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, bool) [48] std::_Rb_tree<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::_Select1st<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_get_insert_hint_unique_pos(std::_Rb_tree_const_iterator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)
[9] ShapeDifference(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&) [4] RegressorTrain::Apply(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&, DataPoint const&) const [49] FernTrain* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*>(__gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, __gnu_cxx::__normal_iterator<FernTrain const*, std::vector<FernTrain, std::allocator<FernTrain> > >, FernTrain*)
[27] CreateTestInitShapes(std::vector<DataPoint, std::allocator<DataPoint> > const&, TrainingParameters const&) [7] FernTrain::Apply(cv::Mat) const [38] std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >* std::__do_uninit_copy<__gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >*>(__gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, __gnu_cxx::__normal_iterator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > const*, std::vector<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >, std::allocator<std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > > > > >, std::vector<std::pair<int, double>, std::allocator<std::pair<int, double> > >*)
[17] ComputeNormalizedTargets(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >, std::vector<DataPoint, std::allocator<DataPoint> > const&) [21] FernTrain::write(cv::FileStorage&) const [45] DataPoint* std::__do_uninit_copy<DataPoint const*, DataPoint*>(DataPoint const*, DataPoint const*, DataPoint*)
[11] OMP(cv::Mat, cv::Mat, int) [5] FernTrain::ApplyMini(cv::Mat, std::vector<double, std::allocator<double> >&) const [54] RegressorTrain* std::__do_uninit_fill_n<RegressorTrain*, unsigned long, RegressorTrain>(RegressorTrain*, unsigned long, RegressorTrain const&)
[39] write(cv::FileStorage&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, FernTrain const&) [47] void std::vector<DataPoint, std::allocator<DataPoint> >::_M_realloc_insert<DataPoint const&>(__gnu_cxx::__normal_iterator<DataPoint*, std::vector<DataPoint, std::allocator<DataPoint> > >, DataPoint const&) [43] std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >* std::__do_uninit_fill_n<std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >(std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >*, unsigned long, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > const&)
[44] TrimStr(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) [35] void std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > >::_M_realloc_insert<cv::Point_<double> const&>(__gnu_cxx::__normal_iterator<cv::Point_<double>*, std::vector<cv::Point_<double>, std::allocator<cv::Point_<double> > > >, cv::Point_<double> const&) [25] frame_dummy