3769 lines
136 KiB
XML
3769 lines
136 KiB
XML
<?xml version="1.0"?>
|
||
<!--
|
||
A frontal cat face detector using LBP 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:
|
||
|
||
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.
|
||
|
||
CHANGELOG:
|
||
|
||
2016-08-06: Re-trained with more negative samples and more stages. False
|
||
positives are much rarer now. If you tailored your code for the cascade's
|
||
previous version, now you should re-adjust the arguments of
|
||
CascadeClassifier::detectMultiScale. For example, decrease the value of the
|
||
minNeighbors argument. You do not need to use a human face detector to
|
||
cross-check the positives anymore.
|
||
2014-04-25: First release (at https://bitbucket.org/Joe_Howse/angora-blue)
|
||
|
||
//////////////////////////////////////////////////////////////////////////
|
||
| 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) 2014-2016, 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>
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<cascade>
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<stageType>BOOST</stageType>
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<featureType>LBP</featureType>
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<height>24</height>
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<width>24</width>
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<stageParams>
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<boostType>GAB</boostType>
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<minHitRate>9.9500000476837158e-01</minHitRate>
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<maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
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<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
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<maxDepth>1</maxDepth>
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<maxWeakCount>100</maxWeakCount></stageParams>
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<featureParams>
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