CODEWITHSUNDEEP
opencvneural-network
SH.0x90
SH.0x90

Reputation: 532

ANN - Artificial Neural Network training

I know that is possible to save a trained ANN into a file using CvFileStorage, but I really don't like the way that CvFileStorage saves the training, then I was wondering: Is that possible to retrieve the informations of a training and save it in a custom way?

Thanks in advance.

Upvotes: 0

Views: 613

Answers (1)

Andrey Smorodov
Andrey Smorodov

Reputation: 10850

Just look at xml structure, it's very simple. The names of objects are the same as in ANN class. Here is a XOR solving network:

<?xml version="1.0"?>
<opencv_storage>
<my_nn type_id="opencv-ml-ann-mlp">
  <layer_sizes type_id="opencv-matrix">
    <rows>1</rows>
    <cols>3</cols>
    <dt>i</dt>
    <data>
      2 3 1</data></layer_sizes>
  <activation_function>SIGMOID_SYM</activation_function>
  <f_param1>1.</f_param1>
  <f_param2>1.</f_param2>
  <min_val>-9.4999999999999996e-001</min_val>
  <max_val>9.4999999999999996e-001</max_val>
  <min_val1>-9.7999999999999998e-001</min_val1>
  <max_val1>9.7999999999999998e-001</max_val1>
  <training_params>
    <train_method>RPROP</train_method>
    <dw0>1.0000000000000001e-001</dw0>
    <dw_plus>1.2000000000000000e+000</dw_plus>
    <dw_minus>5.0000000000000000e-001</dw_minus>
    <dw_min>1.1920928955078125e-007</dw_min>
    <dw_max>50.</dw_max>
    <term_criteria><epsilon>9.9999997764825821e-003</epsilon>
      <iterations>1000</iterations></term_criteria></training_params>
  <input_scale>
    2. -1. 2. -1.</input_scale>
  <output_scale>
    5.2631578947368418e-001 4.9999999999999994e-001</output_scale>
  <inv_output_scale>
    1.8999999999999999e+000 -9.4999999999999996e-001</inv_output_scale>
  <weights>
    <_>
      -3.8878915951440729e+000 -3.7728173427563569e+000
      -1.9587678786875042e+000 3.7898767378369680e+000
      3.0354324494246829e+000 1.9757881693499044e+000
      -3.5862527376978406e+000 -3.2701446005792296e+000
      1.3000011629911392e+000</_>
    <_>
      3.1017381376627204e+000 1.1052842857439200e+000
      -4.6739037571329822e+000 3.2282702769334666e+000</_></weights></my_nn>
</opencv_storage>

You can save the same parameters to you oun formated file. Some of the fields are protected, but you can make child class from CvANN_MLP and make your oun file saver.

Upvotes: 1

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