<?xml version="1.0"?>
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<!--
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A frontal cat face detector using LBP features.
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|
Contributed by Joseph Howse (josephhowse@nummist.com).
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|
More information can be found in the following publications and
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presentations:
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Joseph Howse. OpenCV for Secret Agents (book). Packt Publishing, January
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2015.
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Joseph Howse. "Training Detectors and Recognizers in Python and OpenCV"
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(tutorial). ISMAR 2014. September 9, 2014.
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http://nummist.com/opencv/Howse_ISMAR_20140909.pdf
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Joseph Howse. "Training Intelligent Camera Systems with Python and OpenCV"
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(webcast). O’Reilly Media. June 17, 2014.
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http://www.oreilly.com/pub/e/3077
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|
Build scripts and demo applications can be found in the following repository:
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https://bitbucket.org/Joe_Howse/angora-blue
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|
KNOWN LIMITATIONS:
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|
An upright subject is assumed. In situations where the cat's face might be
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sideways or upside down (e.g. the cat is rolling over), try various rotations
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of the input image.
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|
CHANGELOG:
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|
2016-08-06: Re-trained with more negative samples and more stages. False
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positives are much rarer now. If you tailored your code for the cascade's
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previous version, now you should re-adjust the arguments of
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CascadeClassifier::detectMultiScale. For example, decrease the value of the
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minNeighbors argument. You do not need to use a human face detector to
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cross-check the positives anymore.
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2014-04-25: First release (at https://bitbucket.org/Joe_Howse/angora-blue)
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|
//////////////////////////////////////////////////////////////////////////
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| 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,
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| Halifax, Nova Scotia, Canada). All rights reserved.
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|
|
| 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
|
//////////////////////////////////////////////////////////////////////////
|
-->
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