haarcascade_frontalcatface_extended.xml

<?xml version="1.0"?>
<!----------------------------------------------------------------------------
 A frontal cat face detector using the basic set of Haar features, i.e.
 horizontal and vertical features but not diagonal features.

 Contributed by Joseph Howse (josephhowse@nummist.com).

 More information can be found in the following publications and
 presentations:

 Joseph Howse. OpenCV for Secret Agents (book). Packt Publishing, January
   2015.
 Joseph Howse. "Training Detectors and Recognizers in Python and OpenCV"
   (tutorial). ISMAR 2014. September 9, 2014.
   http://nummist.com/opencv/Howse_ISMAR_20140909.pdf
 Joseph Howse. "Training Intelligent Camera Systems with Python and OpenCV"
   (webcast). O’Reilly Media. June 17, 2014.
   http://www.oreilly.com/pub/e/3077

 Build scripts and demo applications can be found in the following repository:
 https://bitbucket.org/Joe_Howse/angora-blue

 KNOWN LIMITATIONS:

 Sometimes, the detector mistakenly thinks that a human face is a cat face. In
 situations where either a human or a cat might be encountered, use both a
 human face detector and a cat face detector. Then, if a detected human face
 and a detected cat face intersect, reject the cat face.

 An upright subject is assumed. In situations where the cat's face might be
 sideways or upside down (e.g. the cat is rolling over), try various rotations
 of the input image.

 //////////////////////////////////////////////////////////////////////////
 | Contributors License Agreement
 | IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 |   By downloading, copying, installing or using the software you agree
 |   to this license.
 |   If you do not agree to this license, do not download, install,
 |   copy or use the software.
 |
 | Copyright (c) 2014, Joseph Howse (Nummist Media Corporation Limited,
 | Halifax, Nova Scotia, Canada). All rights reserved.
 |
 | Redistribution and use in source and binary forms, with or without
 | modification, are permitted provided that the following conditions are
 | met:
 |
 |    * Redistributions of source code must retain the above copyright
 |       notice, this list of conditions and the following disclaimer.
 |    * Redistributions in binary form must reproduce the above
 |      copyright notice, this list of conditions and the following
 |      disclaimer in the documentation and/or other materials provided
 |      with the distribution.
 |    * The name of Contributor may not used to endorse or promote products
 |      derived from this software without specific prior written permission.
 |
 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
 | "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
 | LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
 | A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
 | CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
 | EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
 | PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
 | PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
 | LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
 | NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.  Back to
 | Top
 //////////////////////////////////////////////////////////////////////////
 ---------------------------------------------------------------------------->
<opencv_storage>
<cascade>
  <stageType>BOOST</stageType>
  <featureType>HAAR</featureType>
  <height>24</height>
  <width>24</width>
  <stageParams>
    <boostType>GAB</boostType>
    <minHitRate>9.9900001287460327e-01</minHitRate>
    <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
    <weightTrimRate>9.4999999999999996e-01</weightTrimRate>
    <maxDepth>1</maxDepth>
    <maxWeakCount>100</maxWeakCount></stageParams>
  <featureParams>
    <maxCatCount>0</maxCatCount>
    <featSize>1</featSize>
    <mode>BASIC</mode></featureParams>
  <stageNum>15</stageNum>
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