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C++ 如何在OpenCV 3.1中通过LibSVM加载svm训练数据模型_C++_Opencv - Fatal编程技术网
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C++ 如何在OpenCV 3.1中通过LibSVM加载svm训练数据模型

c++ opencv

C++ 如何在OpenCV 3.1中通过LibSVM加载svm训练数据模型,c++,opencv,C++,Opencv,我在Opencv 3.1中加载SVM数据时遇到问题。模型。我在train_hog.cpp示例中查找加载SVM的代码： // Load the trained SVM. svm = StatModel::load<SVM>( "my_people_detector.yml" ); // Set the trained svm to my_hog vector< float > hog_detector; get_svm_detector( s

我在Opencv 3.1中加载SVM
数据时遇到问题。模型
。我在train_hog.cpp示例中查找加载SVM的代码：

// Load the trained SVM.
    svm = StatModel::load<SVM>( "my_people_detector.yml" );
    // Set the trained svm to my_hog
    vector< float > hog_detector;
    get_svm_detector( svm, hog_detector );
    my_hog.setSVMDetector( hog_detector );
那么，我下一步要做什么？。到目前为止，我对如何理解load my model data感到非常困惑。我知道load my model:：load
statModel:：load
load.xml或.yml.你有什么想法吗？
最简单的方法可能是在OpenCV项目中使用libsvm，如下面的答案所示：
你只能加载使用
statModel:：save
保存的模型，如果我想使用我的
data.model
进行检测，请使用
hog.setsvmtector（）
，我必须在@Miki执行什么操作？

svm_type nu_svc
kernel_type linear
nr_class 2
total_sv 41
rho -0.4447
label 1 -1
nr_sv 21 20
SV
0.06074145976542984 1:0.0516209 2:0.0526671 3:0.0621273 4:0.162602 5:0.252267 6:0.220246 7:0.116933 8:0.0665012 9:0.040535 10:0.0810178 11:0.0799648 12:0.0989393 13:0.204468 14:0.252267 15:0.232619 16:0.10104 17:0.0503855 18:0.0872255 19:0.109535 20:0.135352 21:0.252267 22:0.252267 23:0.252267 24:0.19159 25:0.139957 26:0.0849861 27:0.0621954 28:0.180085 29:0.220934 30:0.252267 31:0.252267 32:0.252267 33:0.14686 34:0.133376 35:0.0798698 36:0.143804 37:0.154667 38:0.175837 39:0.175819 40:0.185156 41:0.242682 42:0.143323 43:0.0656771 
44:0.0752698 45:0.120002 46:0.125042 47:0.137929 48:0.141668 49:0.238362 50:0.242682 51:0.187268 52:0.0587663 53:0.0820198 54:0.0561508 55:0.173739 56:0.235661 57:0.176866 58:0.242682 59:0.242682 60:0.120697 61:0.0926801 62:0.074838 63:0.120294 64:0.099418 65:0.165938 66:0.223667 67:0.242682 68:0.242682