JerryR's profile - activity

I just registered on code.opencv.org, logged in, and clicked on "New Issue". I get a "You are not authorized to access this page" 403 error. Is there something else I need to do before I can report an issue?

I just tried it with a file, and it crashed in the same place on read. Code:

cv::FileStorage fsWrite("D:\\test.xml", cv::FileStorage::WRITE + FileStorage::FORMAT_XML);
m_ptrModel->write(fsWrite);
FileStorage fs("D:\\test.xml", FileStorage::READ + FileStorage::FORMAT_XML);
m_ptrModel = cv::Algorithm::read<ml::RTrees>(fs.getFirstTopLevelNode());

In rtrees.cpp, line 335, in the read() method of DTreesImplForRTrees:

oobError = (double)fn["oob_error"];

the FileNode passed in seems to not have any of the nodes expected, despite the file containing them.

I'll give this another day for any responses in case I'm doing the reading incorrectly, and then log a bug on the OpenCV issue site.

In OpenCV 3.1, it's either broken or I'm using it wrong. Can anyone either tell me what I'm doing wrong or confirm that it's broken?

My code:

cv::FileStorage fsWrite("my_tree", cv::FileStorage::WRITE + cv::FileStorage::MEMORY + FileStorage::FORMAT_XML);
Ptr<cv::ml::Rtrees> model;
[code to train model]
model->write(fsWrite);
std::string modelString = fsWrite.releaseAndGetString(); // produces proper-looking string with xml in it

Ptr<cv::ml::RTrees> resultModel = Algorithm::read<ml::RTrees>(fsWrite.getFirstTopLevelNode());

resultModel ends up having a null contained Rtrees.

This is what modelString looks like:

<?xml version="1.0"?>
<opencv_storage>
<is_classifier>0</is_classifier>
<var_all>13</var_all>
<var_count>12</var_count>
<ord_var_count>13</ord_var_count>
<cat_var_count>0</cat_var_count>
<training_params>
  <use_surrogates>0</use_surrogates>
  <max_categories>10</max_categories>
  <regression_accuracy>9.9999997764825821e-03</regression_accuracy>
  <max_depth>25</max_depth>
  <min_sample_count>10</min_sample_count>
  <cross_validation_folds>0</cross_validation_folds>
  <nactive_vars>4</nactive_vars></training_params>
<global_var_idx>1</global_var_idx>
<var_idx>
  0 1 2 3 4 5 6 7 8 9 10 11</var_idx>
<var_type>
  0 0 0 0 0 0 0 0 0 0 0 0 0</var_type>
<cat_ofs>
  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0</cat_ofs>
<missing_subst>
  0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.</missing_subst>
<oob_error>0.</oob_error>
<ntrees>1</ntrees>
<trees>
  <_>
    <nodes>
      <_>
        <depth>0</depth>
        <value>2.7725000000000000e+00</value>
        <splits>
          <_><var>7</var>
            <quality>1.2565179687500000e+04</quality>
            <le>5.8210000991821289e+00</le></_></splits></_>
      <_>
        <depth>1</depth>
        <value>2.9880095923261392e+00</value>
        <splits>
          <_><var>7</var>
            <quality>1.1172947265625000e+04</quality>
            <le>1.2557047605514526e+00</le></_></splits></_>
      <_>
        <depth>2</depth>
        <value>3.</value></_>
      <_>
        <depth>2</depth>
        <value>2.7368421052631580e+00</value>
        <splits>
          <_><var>3</var>
            <quality>438.</quality>
            <le>-1.2632201194763184e+01</le></_></splits></_>
      <_>
        <depth>3</depth>
        <value>3.</value></_>
      <_>
        <depth>3</depth>
        <value>2.</value></_>
      <_>
        <depth>1</depth>
        <value>2.</value></_></nodes></_></trees>
</opencv_storage>