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14382 lines
402 KiB
14382 lines
402 KiB
<?xml version="1.0"?> |
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<!-- |
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A frontal cat face detector using the basic set of Haar features, i.e. |
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horizontal and vertical features but not diagonal features. |
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|
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Contributed by Joseph Howse (josephhowse@nummist.com). |
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|
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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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|
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CHANGELOG: |
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|
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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 |
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| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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| By downloading, copying, installing or using the software you agree |
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| to this license. |
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| If you do not agree to this license, do not download, install, |
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| copy or use the software. |
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| |
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| 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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| |
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| Redistribution and use in source and binary forms, with or without |
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| modification, are permitted provided that the following conditions are |
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| met: |
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| |
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| * 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 |
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| with the distribution. |
|
| * The name of Contributor may not used to endorse or promote products |
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| derived from this software without specific prior written permission. |
|
| |
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| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
|
| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
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| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR |
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| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE |
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| 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 |
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| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING |
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| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS |
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| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to |
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| Top |
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////////////////////////////////////////////////////////////////////////// |
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--> |
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<featureType>HAAR</featureType> |
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<height>24</height> |
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