如何使用EigenObjectRecognizer训练图像

Question

我正在开发一个带有emguCV的C＃应用​​程序，我是emguCV的新手。我在互联网上看过这个例子。

Image<Gray, Byte>[] trainingImages = new Image<Gray,Byte>[5]; 
     trainingImages[0] = new Image<Gray, byte>("brad.jpg"); 
     trainingImages[1] = new Image<Gray, byte>("david.jpg"); 
     trainingImages[2] = new Image<Gray, byte>("foof.jpg"); 
     trainingImages[3] = new Image<Gray, byte>("irfan.jpg"); 
     trainingImages[4] = new Image<Gray, byte>("joel.jpg"); 
String[] labels = new String[] { "Brad", "David", "Foof", "Irfan" , "Joel"} 
    MCvTermCriteria termCrit = new MCvTermCriteria(16, 0.001); 

    EigenObjectRecognizer recognizer = new EigenObjectRecognizer(
     trainingImages, 
     labels, 
     5000, 
     ref termCrit); 
     Image<Gray,Byte> testImage = new Image<Gray,Byte>("brad_test.jpg"); 

    String label = recognizer.Recognize(testImage); 
    Console.Write(label); 

我需要知道的是如何训练所有图像？

Answer 1

recognizer.Recognize(testImage) RETURN EigenObjectRecognizer.RecognitionResult 

所以你可以尝试：

EigenObjectRecognizer.RecognitionResult helo = recognizer.Recognize(result); 

Console.Write(helo.lable);