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opencv/data/haarcascades/haarcascade_frontalcatface_extended.xml
Joe Howse 00045bbf27 Removing whitespace to appease doc builder
2016-08-12 00:31:50 -03:00

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<?xml version="1.0"?>
<!----------------------------------------------------------------------------
A frontal cat face detector using the full set of Haar features, i.e.
horizontal, vertical, and 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:
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
//////////////////////////////////////////////////////////////////////////
---------------------------------------------------------------------------->
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<height>24</height>
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