1470 lines
53 KiB
XML
1470 lines
53 KiB
XML
<?xml version="1.0"?>
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<!--
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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. If you do not agree to this license, do not download,
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| install, copy or use the software.
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| Copyright (c) 2017, Puttemans Steven, Can Ergun and Toon Goedeme
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| (KU Leuven, EAVISE Research Group, Jan Pieter De Nayerlaan 5,
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| Sint-Katelijne-Waver, Belgium).
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| All rights reserved.
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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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| * Redistributions of source code must retain the above copyright
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| notice, this list of conditions and the following disclaimer.
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| * Redistributions in binary form must reproduce the above
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| copyright notice, this list of conditions and the following
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| disclaimer in the documentation and/or other materials provided
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| with the distribution.
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| * 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
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| "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,
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| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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| 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.
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//////////////////////////////////////////////////////////////////////////
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=====================================================================
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Improving Open Source Face Detection by Combining an Adapted Cascade
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Classification Pipeline and Active Learning
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=====================================================================
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by Puttemans Steven, Can Ergun and Toon Goedeme (KU Leuven, EAVISE, Belgium)
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This model is the best performing IterativeHardPositives+ frontal face detection model
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used in the research paper presented at VISAPP2017, Porto, Portugal.
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RESEARCHERS:
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If you are using the improved face detection model or involved ideas please cite
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this paper (available at http://eavise.be/publications_lirias.php):
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@InProceedings{PuttemansVISAPP2017,
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author = "Puttemans Steven, Can Ergun and Toon Goedeme",
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title = "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning"
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booktitle = "12th International Conference on Computer Vision Theory and Applications"
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year = "2017",
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month = "February"
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}
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COMMERCIAL:
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If you have any commercial interest in this work please contact
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steven.puttemans@kuleuven.be or toon.goedeme@kuleuven.be
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-->
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<cascade>
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<stageType>BOOST</stageType>
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<featureType>LBP</featureType>
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<height>45</height>
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<width>45</width>
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<stageParams>
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<boostType>GAB</boostType>
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<minHitRate>9.9500000476837158e-001</minHitRate>
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<maxFalseAlarm>5.0000000000000000e-001</maxFalseAlarm>
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<weightTrimRate>9.4999999999999996e-001</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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<maxCatCount>256</maxCatCount>
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<featSize>1</featSize></featureParams>
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<stageNum>19</stageNum>
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<stages>
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<!-- stage 0 -->
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