负载训练的SVM – Emgu CV [英] Load Trained SVM – Emgu CV

问题描述

我对SVM和对象识别有些陌生，目前正在尝试使用Emgu CV 3.0训练SVM，将其保存到文件中，然后加载(在HOGDescriptor.SetSVMDetector中使用).

I am somewhat new to SVMs and object recognition, and am currently attempting to train an SVM using Emgu CV 3.0, save it to a file, and then load it (for use in HOGDescriptor.SetSVMDetector).

但是，除其他问题外，保存后我无法找到加载SVM的方法.

However, among other problems, I cannot find a way to load the SVM after I have saved it.

到目前为止，我的代码基本上执行以下操作:

So far, my code basically does the following:

SVM myFirstSVM = new SVM();

// do some stuff, set some parameters...

myFirstSVM.Train(someParameters);

myFirstSVM.Save("filePath");

从这里开始，问题出在保存后重新加载 SVM.我检查了几个帮助主题和页面，发现的唯一相关内容与OpenCV有关，它使用以下方法:

From here, the problem lies with reloading the SVM after being saved. I have checked several help topics and pages, and the only related things I could find pertained to OpenCV, which used the following method:

SVM mySecondSVM;

mySecondSVM.load("filePath");

但是，尽管在以前的版本中似乎没有提供方法".load()"，但在Emgu 3.0中却找不到该方法. Emgu 3.0中是否有与此OpenCV方法等效的方法?我以为有，而且我相信它很简单，但是我一生都找不到.

However, I could find no method ".load()" in Emgu 3.0, although it appeared to be present in previous versions. Is there an equivalent of this OpenCV method in Emgu 3.0? I would assume there is, and I am sure it is fairly simple, but I cannot for the life of me find it.

推荐答案

对于EmguCV 3.0.0，似乎不支持Save/Load功能(Load不存在)，可以使用.

For EmguCV 3.0.0, the Save/Load functionality doesn't seem to be supported (Load doesn't exist), you could use Write/Read instead.

保存SVM模型的功能:

A function to save an SVM model:

public static void SaveSVMToFile(SVM model, String path) {
    if (File.Exists(path)) File.Delete(path);
    FileStorage fs = new FileStorage(path, FileStorage.Mode.Write);
    model.Write(fs);
    fs.ReleaseAndGetString();
}

用于加载SVM模型的函​​数提供了正确的路径:

A function to load the SVM model provided the correct path:

public static SVM LoadSVMFromFile(String path) {
    SVM svm = new SVM();
    FileStorage fs = new FileStorage(path, FileStorage.Mode.Read);
    svm.Read(fs.GetRoot());
    fs.ReleaseAndGetString();
    return svm;
}

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