How to load a previously saved svm classifier?

Question

I am working with openCV SVM in Visual Studio. (OpenCV 2.4.4.0)

I trained him:

mySVM.train(trainingDataMat, labelsMat, Mat(), Mat(), params);

Saved:

mySVM.save("classifier.xml");

I load it like this:

CvSVM mySVM1;
mySVM1.load("C:\classifier.xml");
mySVM1.predict(testingDataMat0,result0);

And I want to use in another project. But when I try to load the classifier, this error constantly sounds:

"Bad argument (The SVM should be trained first) in CvSVM::predict"

The path is correct and the .xml seems to be properly saved.

Does anyone know what I'm doing wrong or where the problem could be?

classifier.xml:

<?xml version="1.0"?>
<opencv_storage>
<my_svm type_id="opencv-ml-svm">
  <svm_type>C_SVC</svm_type>
  <kernel><type>RBF</type>
    <gamma>5.0625000000000009e-001</gamma></kernel>
  <C>2.5000000000000000e+000</C>
  <term_criteria><epsilon>2.2204460492503131e-016</epsilon>
    <iterations>100</iterations></term_criteria>
  <var_all>3</var_all>
  <var_count>3</var_count>
  <class_count>2</class_count>
  <class_labels type_id="opencv-matrix">
    <rows>1</rows>
    <cols>2</cols>
    <dt>i</dt>
    <data>
      -1 1</data></class_labels>
  <sv_total>10</sv_total>
  <support_vectors>
    <_>
      9.09866020e-002 5.56291997e-001 2.43510995e-002</_>
    <_>
      9.46519971e-001 2.94328004e-001 2.08841003e-002</_>
    <_>
      1. 3.68389994e-001 1.15272999e-002</_>
    <_>
      9.41470027e-001 3.73109013e-001 1.25126000e-002</_>
    <_>
      1. 2.23776996e-001 9.57737025e-003</_>
    <_>
      4.68845010e-001 3.62690985e-002 9.11400989e-002</_>
    <_>
      7.98106015e-001 2.73550004e-002 9.26491022e-002</_>
    <_>
      7.02144980e-001 3.98130007e-002 9.00894031e-002</_>
    <_>
      4.99359012e-001 4.31513004e-002 8.61563012e-002</_>
    <_>
      7.39947975e-001 4.39946018e-002 9.60593969e-002</_></support_vectors>
  <decision_functions>
    <_>
      <sv_count>10</sv_count>
      <rho>-5.7845965027809154e-001</rho>
      <alpha>
        2.5000000000000000e+000 2.5000000000000000e+000
        1.4641912158132706e+000 2.5000000000000000e+000
        2.5000000000000000e+000 -1.4641912158132708e+000
        -2.5000000000000000e+000 -2.5000000000000000e+000
        -2.5000000000000000e+000 -2.5000000000000000e+000</alpha>
      <index>
        0 1 2 3 4 5 6 7 8 9</index></_></decision_functions></my_svm>
</opencv_storage>

Answer 1

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