Haar Cascade XML, what format?

[jfisher]

I pulled a new xml file from openCV. It looked like some performance optimization had been done (according to the git notes).

I seems that the current xml does not match what was included with the lab packs.

This being the case, I can't use a new haar trainer to generate xml for my project, and I current;y have no way to determine what version/variant of an older haar trainer would be compatible.

Help!

Example:
LabPack

Code:

<opencv_storage>
<haarcascade_frontaleye type_id="opencv-haar-classifier">
  <size>
    20 20</size>
  <stages>
    <_>
      <!-- stage 0 -->
      <trees>
        <_>
          <!-- tree 0 -->
          <_>
            <!-- root node -->
            <feature>
              <rects>
                <_>
                  0 8 20 12 -1.</_>
                <_>
                  0 14 20 6 2.</_></rects>
              <tilted>0</tilted></feature>
            <threshold>0.1296395957469940</threshold>
            <left_val>-0.7730420827865601</left_val>
            <right_val>0.6835014820098877</right_val></_></_>
        <_>
          <!-- tree 1 -->
          <_>
            <!-- root node -->
            <feature>
              <rects>
                <_>
                  9 1 4 15 -1.</_>
                <_>
                  9 6 4 5 3.</_></rects>
              <tilted>0</tilted></feature>
            <threshold>-0.0463268086314201</threshold>
            <left_val>0.5735275149345398</left_val>
            <right_val>-0.4909768998622894</right_val></_></_>
        <_>

Current OpenCV

Code:

<opencv_storage>
<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
  <featureType>HAAR</featureType>
  <height>20</height>
  <width>20</width>
  <stageParams>
    <maxWeakCount>93</maxWeakCount></stageParams>
  <featureParams>
    <maxCatCount>0</maxCatCount></featureParams>
  <stageNum>24</stageNum>
  <stages>
    <_>
      <maxWeakCount>6</maxWeakCount>
      <stageThreshold>-1.4562760591506958e+00</stageThreshold>
      <weakClassifiers>
        <_>
          <internalNodes>
            0 -1 0 1.2963959574699402e-01</internalNodes>
          <leafValues>
            -7.7304208278656006e-01 6.8350148200988770e-01</leafValues></_>
        <_>
          <internalNodes>
            0 -1 1 -4.6326808631420135e-02</internalNodes>
          <leafValues>
            5.7352751493453979e-01 -4.9097689986228943e-01</leafValues></_>
        <_>
          <internalNodes>
            0 -1 2 -1.6173090785741806e-02</internalNodes>
          <leafValues>
            6.0254341363906860e-01 -3.1610709428787231e-01</leafValues></_>
        <_>
          <internalNodes>
            0 -1 3 -4.5828841626644135e-02</internalNodes>
          <leafValues>
            6.4177548885345459e-01 -1.5545040369033813e-01</leafValues></_>
        <_>
          <internalNodes>
            0 -1 4 -5.3759619593620300e-02</internalNodes>
          <leafValues>
            5.4219317436218262e-01 -2.0480829477310181e-01</leafValues></_>
        <_>
          <internalNodes>
            0 -1 5 3.4171190112829208e-02</internalNodes>
          <leafValues>
            -2.3388190567493439e-01 4.8410901427268982e-01</leafValues></_></weakClassifiers></_>
    <_>