From 56e94b7cee565181cfcaf57d652bd576a81e4f6a Mon Sep 17 00:00:00 2001
From: Tae-Young Chung <ty83.chung@samsung.com>
Date: Fri, 20 Nov 2015 19:54:06 +0900
Subject: [PATCH] Remove redundant cascades

Change-Id: I2821f43548b7f622899258c72136190dd75368e4
Signed-off-by: Tae-Young Chung <ty83.chung@samsung.com>
---
 data/CMakeLists.txt                                |     2 -
 data/haarcascades/haarcascade_eye.xml              | 15452 ------
 .../haarcascade_eye_tree_eyeglasses.xml            | 33158 -------------
 .../haarcascade_frontalface_default.xml            | 35712 --------------
 data/haarcascades/haarcascade_fullbody.xml         | 18118 -------
 data/haarcascades/haarcascade_lefteye_2splits.xml  |  9803 ----
 data/haarcascades/haarcascade_lowerbody.xml        | 15085 ------
 data/haarcascades/haarcascade_mcs_eyepair_big.xml  | 10930 -----
 .../haarcascades/haarcascade_mcs_eyepair_small.xml | 12586 -----
 data/haarcascades/haarcascade_mcs_leftear.xml      |  9322 ----
 data/haarcascades/haarcascade_mcs_lefteye.xml      | 23791 ---------
 data/haarcascades/haarcascade_mcs_mouth.xml        | 21991 ---------
 data/haarcascades/haarcascade_mcs_nose.xml         | 48433 -------------------
 data/haarcascades/haarcascade_mcs_rightear.xml     |  9671 ----
 data/haarcascades/haarcascade_mcs_righteye.xml     | 42252 ----------------
 data/haarcascades/haarcascade_mcs_upperbody.xml    | 46327 ------------------
 data/haarcascades/haarcascade_profileface.xml      | 31930 ------------
 data/haarcascades/haarcascade_righteye_2splits.xml |  9833 ----
 data/haarcascades/haarcascade_upperbody.xml        | 29767 ------------
 data/hogcascades/hogcascade_pedestrians.xml        |  3986 --
 data/lbpcascades/lbpcascade_profileface.xml        |  1275 -
 data/lbpcascades/lbpcascade_silverware.xml         |  1279 -
 packaging/opencv.spec                              |     2 +-
 23 files changed, 1 insertion(+), 430704 deletions(-)
 delete mode 100644 data/haarcascades/haarcascade_eye.xml
 delete mode 100644 data/haarcascades/haarcascade_eye_tree_eyeglasses.xml
 delete mode 100644 data/haarcascades/haarcascade_frontalface_default.xml
 delete mode 100644 data/haarcascades/haarcascade_fullbody.xml
 delete mode 100644 data/haarcascades/haarcascade_lefteye_2splits.xml
 delete mode 100644 data/haarcascades/haarcascade_lowerbody.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_eyepair_big.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_eyepair_small.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_leftear.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_lefteye.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_mouth.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_nose.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_rightear.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_righteye.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_upperbody.xml
 delete mode 100644 data/haarcascades/haarcascade_profileface.xml
 delete mode 100644 data/haarcascades/haarcascade_righteye_2splits.xml
 delete mode 100644 data/haarcascades/haarcascade_upperbody.xml
 delete mode 100644 data/hogcascades/hogcascade_pedestrians.xml
 delete mode 100755 data/lbpcascades/lbpcascade_profileface.xml
 delete mode 100755 data/lbpcascades/lbpcascade_silverware.xml

diff --git a/data/CMakeLists.txt b/data/CMakeLists.txt
index 13ea6a5..ccb8e3e 100644
--- a/data/CMakeLists.txt
+++ b/data/CMakeLists.txt
@@ -1,6 +1,5 @@
 file(GLOB HAAR_CASCADES haarcascades/*.xml)
 file(GLOB LBP_CASCADES lbpcascades/*.xml)
-file(GLOB HOG_CASCADES hogcascades/*.xml)
 
 if(ANDROID)
   install(FILES ${HAAR_CASCADES} DESTINATION sdk/etc/haarcascades COMPONENT libs)
@@ -8,7 +7,6 @@ if(ANDROID)
 elseif(NOT WIN32)
   install(FILES ${HAAR_CASCADES} DESTINATION share/OpenCV/haarcascades COMPONENT libs)
   install(FILES ${LBP_CASCADES}  DESTINATION share/OpenCV/lbpcascades  COMPONENT libs)
-  install(FILES ${HOG_CASCADES}  DESTINATION share/OpenCV/hogcascades  COMPONENT libs)
 endif()
 
 if(INSTALL_TESTS AND OPENCV_TEST_DATA_PATH)
diff --git a/data/haarcascades/haarcascade_eye.xml b/data/haarcascades/haarcascade_eye.xml
deleted file mode 100644
index 8849ff9..0000000
--- a/data/haarcascades/haarcascade_eye.xml
+++ /dev/null
@@ -1,15452 +0,0 @@
-<?xml version="1.0"?>
-<!--
-    Stump-based 20x20 frontal eye detector.
-    Created by Shameem Hameed (http://umich.edu/~shameem)
-
-////////////////////////////////////////////////////////////////////////////////////////
-
-  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.
-
-
-                        Intel License Agreement
-                For Open Source Computer Vision Library
-
- Copyright (C) 2000, Intel Corporation, all rights reserved.
- Third party copyrights are property of their respective owners.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
-   * Redistribution's of source code must retain the above copyright notice,
-     this list of conditions and the following disclaimer.
-
-   * Redistribution's 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 Intel Corporation may not be 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 Intel Corporation or 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.
--->
-<opencv_storage>
-<haarcascade_frontaleye type_id="opencv-haar-classifier">
-  <size>
-    20 20</size>
-  <stages>
-    <_>
-      <!-- stage 0 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 20 12 -1.</_>
-                <_>
-                  0 14 20 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>0.1296395957469940</threshold>
-            <left_val>-0.7730420827865601</left_val>
-            <right_val>0.6835014820098877</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 4 15 -1.</_>
-                <_>
-                  9 6 4 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-0.0463268086314201</threshold>
-            <left_val>0.5735275149345398</left_val>
-            <right_val>-0.4909768998622894</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 9 2 -1.</_>
-                <_>
-                  9 10 3 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-0.0161730907857418</threshold>
-            <left_val>0.6025434136390686</left_val>
-            <right_val>-0.3161070942878723</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 10 9 -1.</_>
-                <_>
-                  7 3 10 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-0.0458288416266441</threshold>
-            <left_val>0.6417754888534546</left_val>
-            <right_val>-0.1554504036903381</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 2 18 -1.</_>
-                <_>
-                  12 8 2 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-0.0537596195936203</threshold>
-            <left_val>0.5421931743621826</left_val>
-            <right_val>-0.2048082947731018</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 6 8 6 -1.</_>
-                <_>
-                  8 9 8 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>0.0341711901128292</threshold>
-            <left_val>-0.2338819056749344</left_val>
-            <right_val>0.4841090142726898</right_val></_></_></trees>
-      <stage_threshold>-1.4562760591506958</stage_threshold>
-      <parent>-1</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 1 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 17 18 -1.</_>
-                <_>
-                  2 6 17 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-0.2172762006521225</threshold>
-            <left_val>0.7109889984130859</left_val>
-            <right_val>-0.5936073064804077</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 10 1 8 -1.</_>
-                <_>
-                  10 14 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>0.0120719699189067</threshold>
-            <left_val>-0.2824048101902008</left_val>
-            <right_val>0.5901355147361755</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 9 2 -1.</_>
-                <_>
-                  10 10 3 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-0.0178541392087936</threshold>
-            <left_val>0.5313752293586731</left_val>
-            <right_val>-0.2275896072387695</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 6 6 -1.</_>
-                <_>
-                  5 3 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>0.0223336108028889</threshold>
-            <left_val>-0.1755609959363937</left_val>
-            <right_val>0.6335613727569580</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 15 9 -1.</_>
-                <_>
-                  3 4 15 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-0.0914200171828270</threshold>
-            <left_val>0.6156309247016907</left_val>
-            <right_val>-0.1689953058958054</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 9 6 -1.</_>
-                <_>
-                  6 5 9 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>0.0289736501872540</threshold>
-            <left_val>-0.1225007995963097</left_val>
-            <right_val>0.7440117001533508</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 17 6 3 -1.</_>
-                <_>
-                  10 17 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.8203463926911354e-003</threshold>
-            <left_val>0.1697437018156052</left_val>
-            <right_val>-0.6544165015220642</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 9 1 -1.</_>
-                <_>
-                  12 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>0.0203404892235994</threshold>
-            <left_val>-0.1255664974451065</left_val>
-            <right_val>0.8271045088768005</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
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-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 7 6 11 -1.</_>
-                <_>
-                  3 7 2 11 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-0.0119261499494314</threshold>
-            <left_val>0.3860568106174469</left_val>
-            <right_val>-0.2099234014749527</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 18 3 1 -1.</_>
-                <_>
-                  10 18 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7281101625412703e-004</threshold>
-            <left_val>-0.6376119256019592</left_val>
-            <right_val>0.1295239031314850</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 16 1 2 -1.</_>
-                <_>
-                  16 17 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8322050891583785e-005</threshold>
-            <left_val>-0.3463147878646851</left_val>
-            <right_val>0.2292426973581314</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
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-            <feature>
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-                  11 17 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0854417756199837e-003</threshold>
-            <left_val>-0.6366580128669739</left_val>
-            <right_val>0.1307865977287293</right_val></_></_></trees>
-      <stage_threshold>-1.2550230026245117</stage_threshold>
-      <parent>0</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 2 -->
-      <trees>
-        <_>
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-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
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-              <tilted>0</tilted></feature>
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-            <left_val>0.6784452199935913</left_val>
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-            <left_val>0.6652938723564148</left_val>
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diff --git a/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml b/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml
deleted file mode 100644
index 64070d9..0000000
--- a/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml
+++ /dev/null
@@ -1,33158 +0,0 @@
-<?xml version="1.0"?>
-<!--
-    Tree-based 20x20 frontal eye detector with better handling of eyeglasses.
-    Created by Shameem Hameed (http://umich.edu/~shameem)
-
-////////////////////////////////////////////////////////////////////////////////////////
-
-  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.
-
-
-                        Intel License Agreement
-                For Open Source Computer Vision Library
-
- Copyright (C) 2000, Intel Corporation, all rights reserved.
- Third party copyrights are property of their respective owners.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
-   * Redistribution's of source code must retain the above copyright notice,
-     this list of conditions and the following disclaimer.
-
-   * Redistribution's 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 Intel Corporation may not be 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 Intel Corporation or 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.
--->
-<opencv_storage>
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diff --git a/data/haarcascades/haarcascade_frontalface_default.xml b/data/haarcascades/haarcascade_frontalface_default.xml
deleted file mode 100644
index 8dff079..0000000
--- a/data/haarcascades/haarcascade_frontalface_default.xml
+++ /dev/null
@@ -1,35712 +0,0 @@
-<?xml version="1.0"?>
-<!--
-    Stump-based 24x24 discrete(?) adaboost frontal face detector.
-    Created by Rainer Lienhart.
-
-////////////////////////////////////////////////////////////////////////////////////////
-
-  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.
-
-
-                        Intel License Agreement
-                For Open Source Computer Vision Library
-
- Copyright (C) 2000, Intel Corporation, all rights reserved.
- Third party copyrights are property of their respective owners.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
-   * Redistribution's of source code must retain the above copyright notice,
-     this list of conditions and the following disclaimer.
-
-   * Redistribution's 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 Intel Corporation may not be 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 Intel Corporation or 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.
--->
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diff --git a/data/haarcascades/haarcascade_fullbody.xml b/data/haarcascades/haarcascade_fullbody.xml
deleted file mode 100644
index f1eaf5b..0000000
--- a/data/haarcascades/haarcascade_fullbody.xml
+++ /dev/null
@@ -1,18118 +0,0 @@
-<?xml version="1.0"?>
-<!--
-   14x28 fullbody detector (see the detailed description below). 
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2004, Hannes Kruppa and Bernt Schiele (ETH Zurich, Switzerland).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-"Haar"-based Detectors For Pedestrian Detection
-===============================================
-by Hannes Kruppa and Bernt Schiele, ETH Zurich, Switzerland
-
-This archive provides the following three detectors:
-- upper body detector (most fun, useful in many scenarios!)
-- lower body detector
-- full body detector
-
-These detectors have been successfully applied to pedestrian detection
-in still images. They can be directly passed as parameters to the
-program HaarFaceDetect.
-NOTE: These detectors deal with frontal and backside views but not
-with side views (also see "Known limitations" below).
-
-RESEARCHERS:
-If you are using any of the detectors or involved ideas please cite
-this paper (available at www.vision.ethz.ch/publications/):
-
-@InProceedings{Kruppa03-bmvc,
-  author =       "Hannes Kruppa, Modesto Castrillon-Santana and Bernt Schiele",
-  title =        "Fast and Robust Face Finding via Local Context."
-  booktitle =    "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
-  year =         "2003",
-  month =        "October"
-}
-
-COMMERCIAL:
-If you have any commercial interest in this work please contact 
-hkruppa@inf.ethz.ch
-
-
-ADDITIONAL INFORMATION 
-====================== 
-Check out the demo movie, e.g. using mplayer or any (Windows/Linux-) player
-that can play back .mpg movies.
-Under Linux that's:
-> ffplay demo.mpg
-or:
-> mplayer demo.mpg
-
-The movie shows a person walking towards the camera in a realistic
-indoor setting. Using ffplay or mplayer you can pause and continue the
-movie by pressing the space bar.
-
-Detections coming from the different detectors are visualized using
-different line styles: 
-upper body : dotted line
-lower body : dashed line
-full body  : solid line
-
-You will notice that successful detections containing the target do
-not sit tightly on the body but also include some of the background
-left and right.  This is not a bug but accurately reflects the
-employed training data which also includes portions of the background
-to ensure proper silhouette representation. If you want to get a
-feeling for the training data check out the CBCL data set:
-http://www.ai.mit.edu/projects/cbcl/software-datasets/PedestrianData.html
-
-There is also a small number of false alarms in this sequence.  
-NOTE: This is per frame detection, not tracking (which is also one of
-the reasons why it is not mislead by the person's shadow on the back
-wall). 
-
-On an Intel Xeon 1.7GHz machine the detectors operate at something
-between 6Hz to 14 Hz (on 352 x 288 frames per second) depending on the
-detector. The detectors work as well on much lower image resolutions
-which is always an interesting possibility for speed-ups or
-"coarse-to-fine" search strategies.
-
-Additional information e.g. on training parameters, detector
-combination, detecting other types of objects (e.g. cars) etc. is
-available in my PhD thesis report (available end of June). Check out
-www.vision.ethz.ch/kruppa/
-
-
-KNOWN LIMITATIONS
-==================
-1) the detectors only support frontal and back views but not sideviews.
-   Sideviews are trickier and it makes a lot of sense to include additional
-   modalities for their detection, e.g. motion information. I recommend
-   Viola and Jones' ICCV 2003 paper if this further interests you.
-
-2) dont expect these detectors to be as accurate as a frontal face detector.
-   A frontal face as a pattern is pretty distinct with respect to other
-   patterns occuring in the world (i.e. image "background"). This is not so
-   for upper, lower and especially full bodies, because they have to rely
-   on fragile silhouette information rather than internal (facial) features.
-   Still, we found especially the upper body detector to perform amazingly well.
-   In contrast to a face detector these detectors will also work at very low
-   image resolutions 
-
-Acknowledgements
-================
-Thanks to Martin Spengler, ETH Zurich, for providing the demo movie.
--->
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-<haarcascade_fullbody type_id="opencv-haar-classifier">
-  <size>14 28</size>
-  <stages>
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diff --git a/data/haarcascades/haarcascade_lefteye_2splits.xml b/data/haarcascades/haarcascade_lefteye_2splits.xml
deleted file mode 100644
index f005938..0000000
--- a/data/haarcascades/haarcascade_lefteye_2splits.xml
+++ /dev/null
@@ -1,9803 +0,0 @@
-<?xml version="1.0"?>
-<!--
-    Tree-based 20x20 left eye detector.
-    The detector is trained by 6665 positive samples from FERET, VALID and BioID face databases. 
-    Created by Shiqi Yu (http://yushiqi.cn/research/eyedetection).
-
-////////////////////////////////////////////////////////////////////////////////////////
-
-  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.
-
-
-                        Intel License Agreement
-                For Open Source Computer Vision Library
-
- Copyright (C) 2000, Intel Corporation, all rights reserved.
- Third party copyrights are property of their respective owners.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
-   * Redistribution's of source code must retain the above copyright notice,
-     this list of conditions and the following disclaimer.
-
-   * Redistribution's 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 Intel Corporation may not be 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 Intel Corporation or 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.
--->
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diff --git a/data/haarcascades/haarcascade_lowerbody.xml b/data/haarcascades/haarcascade_lowerbody.xml
deleted file mode 100644
index 56fb489..0000000
--- a/data/haarcascades/haarcascade_lowerbody.xml
+++ /dev/null
@@ -1,15085 +0,0 @@
-<?xml version="1.0"?>
-<!--
-   19x23 lowerbody detector (see the detailed description below). 
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2004, Hannes Kruppa and Bernt Schiele (ETH Zurich, Switzerland).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-"Haar"-based Detectors For Pedestrian Detection
-===============================================
-by Hannes Kruppa and Bernt Schiele, ETH Zurich, Switzerland
-
-This archive provides the following three detectors:
-- upper body detector (most fun, useful in many scenarios!)
-- lower body detector
-- full body detector
-
-These detectors have been successfully applied to pedestrian detection
-in still images. They can be directly passed as parameters to the
-program HaarFaceDetect.
-NOTE: These detectors deal with frontal and backside views but not
-with side views (also see "Known limitations" below).
-
-RESEARCHERS:
-If you are using any of the detectors or involved ideas please cite
-this paper (available at www.vision.ethz.ch/publications/):
-
-@InProceedings{Kruppa03-bmvc,
-  author =       "Hannes Kruppa, Modesto Castrillon-Santana and Bernt Schiele",
-  title =        "Fast and Robust Face Finding via Local Context."
-  booktitle =    "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
-  year =         "2003",
-  month =        "October"
-}
-
-COMMERCIAL:
-If you have any commercial interest in this work please contact 
-hkruppa@inf.ethz.ch
-
-
-ADDITIONAL INFORMATION 
-====================== 
-Check out the demo movie, e.g. using mplayer or any (Windows/Linux-) player
-that can play back .mpg movies.
-Under Linux that's:
-> ffplay demo.mpg
-or:
-> mplayer demo.mpg
-
-The movie shows a person walking towards the camera in a realistic
-indoor setting. Using ffplay or mplayer you can pause and continue the
-movie by pressing the space bar.
-
-Detections coming from the different detectors are visualized using
-different line styles: 
-upper body : dotted line
-lower body : dashed line
-full body  : solid line
-
-You will notice that successful detections containing the target do
-not sit tightly on the body but also include some of the background
-left and right.  This is not a bug but accurately reflects the
-employed training data which also includes portions of the background
-to ensure proper silhouette representation. If you want to get a
-feeling for the training data check out the CBCL data set:
-http://www.ai.mit.edu/projects/cbcl/software-datasets/PedestrianData.html
-
-There is also a small number of false alarms in this sequence.  
-NOTE: This is per frame detection, not tracking (which is also one of
-the reasons why it is not mislead by the person's shadow on the back
-wall). 
-
-On an Intel Xeon 1.7GHz machine the detectors operate at something
-between 6Hz to 14 Hz (on 352 x 288 frames per second) depending on the
-detector. The detectors work as well on much lower image resolutions
-which is always an interesting possibility for speed-ups or
-"coarse-to-fine" search strategies.
-
-Additional information e.g. on training parameters, detector
-combination, detecting other types of objects (e.g. cars) etc. is
-available in my PhD thesis report (available end of June). Check out
-www.vision.ethz.ch/kruppa/
-
-
-KNOWN LIMITATIONS
-==================
-1) the detectors only support frontal and back views but not sideviews.
-   Sideviews are trickier and it makes a lot of sense to include additional
-   modalities for their detection, e.g. motion information. I recommend
-   Viola and Jones' ICCV 2003 paper if this further interests you.
-
-2) dont expect these detectors to be as accurate as a frontal face detector.
-   A frontal face as a pattern is pretty distinct with respect to other
-   patterns occuring in the world (i.e. image "background"). This is not so
-   for upper, lower and especially full bodies, because they have to rely
-   on fragile silhouette information rather than internal (facial) features.
-   Still, we found especially the upper body detector to perform amazingly well.
-   In contrast to a face detector these detectors will also work at very low
-   image resolutions 
-
-Acknowledgements
-================
-Thanks to Martin Spengler, ETH Zurich, for providing the demo movie.
--->
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diff --git a/data/haarcascades/haarcascade_mcs_eyepair_big.xml b/data/haarcascades/haarcascade_mcs_eyepair_big.xml
deleted file mode 100644
index ecc92bb..0000000
--- a/data/haarcascades/haarcascade_mcs_eyepair_big.xml
+++ /dev/null
@@ -1,10930 +0,0 @@
-<?xml version="1.0"?>
-<!--
-  45x11 Eye pair detector computed with 7000 positive samples
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2006, Modesto Castrillon-Santana (IUSIANI, University of
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using any of the detectors or involved ideas please cite one of these papers:
-
-@ARTICLE{Castrillon07-jvci,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
-  title =        "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
-  journal =      "Journal of Visual Communication and Image Representation",
-  year =         "2007",
-  vol =          "18",
-  issue =        "2",
-  month =        "April",
-  pages =        "130-140"
-}
-
-@INPROCEEDINGS{Castrillon07-swb,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
-  title =        "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
-  booktitle =    "1st Spanish Workshop on Biometrics",
-  year =         "2007",
-  month =        "June",
-  address =      "Girona, Spain",
-  file = F
-}
-
-A comparison of this and other face related classifiers can be found in:
-
-@InProceedings{Castrillon08a-visapp,
- 'athor =       "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
-  title =        "Face and Facial Feature Detection Evaluation"
-  booktitle =    "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
-  year =         "2008",
-  month =        "January"
-}
-
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
--->
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diff --git a/data/haarcascades/haarcascade_mcs_eyepair_small.xml b/data/haarcascades/haarcascade_mcs_eyepair_small.xml
deleted file mode 100644
index 73c2f7c..0000000
--- a/data/haarcascades/haarcascade_mcs_eyepair_small.xml
+++ /dev/null
@@ -1,12586 +0,0 @@
-<?xml version="1.0"?>
-<!--
-  22x5 Eye pair detector computed with 7000 positive samples
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2006, Modesto Castrillon-Santana (IUSIANI, University of
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using any of the detectors or involved ideas please cite one of these papers:
-
-@ARTICLE{Castrillon07-jvci,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
-  title =        "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
-  journal =      "Journal of Visual Communication and Image Representation",
-  year =         "2007",
-  vol =          "18",
-  issue =        "2",
-  month =        "April",
-  pages =        "130-140"
-}
-
-@INPROCEEDINGS{Castrillon07-swb,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
-  title =        "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
-  booktitle =    "1st Spanish Workshop on Biometrics",
-  year =         "2007",
-  month =        "June",
-  address =      "Girona, Spain",
-  file = F
-}
-
-A comparison of this and other face related classifiers can be found in:
-
-@InProceedings{Castrillon08a-visapp,
- 'athor =       "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
-  title =        "Face and Facial Feature Detection Evaluation"
-  booktitle =    "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
-  year =         "2008",
-  month =        "January"
-}
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
--->
-
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diff --git a/data/haarcascades/haarcascade_mcs_leftear.xml b/data/haarcascades/haarcascade_mcs_leftear.xml
deleted file mode 100644
index a5a0383..0000000
--- a/data/haarcascades/haarcascade_mcs_leftear.xml
+++ /dev/null
@@ -1,9322 +0,0 @@
-<?xml version="1.0"?>
-<!----------------------------------------------------------------------------
-  12x20 Left ear (in the image) detector computed with 5000 positive and 15000
-  negative samples
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2011, Modesto Castrillon-Santana (IUSIANI, Universidad de
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using any of the detectors or involved ideas please cite this paper:
-
-@INPROCEEDINGS{Castrillon11-caepia,
-  author =       "Castrill\'on Santana, M. and Lorenzo Navarro, J. and Hern\'andez Sosa, D. ",
-  title =        "An Study on Ear Detection and its Applications to Face Detection",
-  booktitle =    "Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA)",
-  year =         "2011",
-  month =        "November",
-  address =      "La Laguna, Spain",
-  file = F
-}
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto.html or in the paper.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
------------------------------------------------------------------------->
-
-<opencv_storage>
-<classifier_LeftEarA_trainNew2011_12_20 type_id="opencv-haar-classifier">
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diff --git a/data/haarcascades/haarcascade_mcs_lefteye.xml b/data/haarcascades/haarcascade_mcs_lefteye.xml
deleted file mode 100644
index 3aeeb5a..0000000
--- a/data/haarcascades/haarcascade_mcs_lefteye.xml
+++ /dev/null
@@ -1,23791 +0,0 @@
-<?xml version="1.0"?>
-<!--
-  18x12 Left eye (in the image) detector computed with 7000 positive samples
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2006, Modesto Castrillon-Santana (IUSIANI, University of
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using any of the detectors or involved ideas please cite one of these papers:
-
-@ARTICLE{Castrillon07-jvci,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
-  title =        "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
-  journal =      "Journal of Visual Communication and Image Representation",
-  year =         "2007",
-  vol =          "18",
-  issue =        "2",
-  month =        "April",
-  pages =        "130-140"
-}
-
-@INPROCEEDINGS{Castrillon07-swb,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
-  title =        "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
-  booktitle =    "1st Spanish Workshop on Biometrics",
-  year =         "2007",
-  month =        "June",
-  address =      "Girona, Spain",
-  file = F
-}
-
-A comparison of this and other face related classifiers can be found in:
-
-@InProceedings{Castrillon08a-visapp,
- 'athor =       "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
-  title =        "Face and Facial Feature Detection Evaluation"
-  booktitle =    "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
-  year =         "2008",
-  month =        "January"
-}
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
--->
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diff --git a/data/haarcascades/haarcascade_mcs_mouth.xml b/data/haarcascades/haarcascade_mcs_mouth.xml
deleted file mode 100644
index ca7d37d..0000000
--- a/data/haarcascades/haarcascade_mcs_mouth.xml
+++ /dev/null
@@ -1,21991 +0,0 @@
-<?xml version="1.0"?>
-<!--
-  25x15 Mouth detector computed with 7000 positive samples
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2006, Modesto Castrillon-Santana (IUSIANI, University of
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using any of the detectors or involved ideas please cite one of these papers:
-
-@ARTICLE{Castrillon07-jvci,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
-  title =        "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
-  journal =      "Journal of Visual Communication and Image Representation",
-  year =         "2007",
-  vol =          "18",
-  issue =        "2",
-  month =        "April",
-  pages =        "130-140"
-}
-
-@INPROCEEDINGS{Castrillon07-swb,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
-  title =        "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
-  booktitle =    "1st Spanish Workshop on Biometrics",
-  year =         "2007",
-  month =        "June",
-  address =      "Girona, Spain",
-  file = F
-}
-
-A comparison of this and other face related classifiers can be found in:
-
-@InProceedings{Castrillon08a-visapp,
- 'athor =       "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
-  title =        "Face and Facial Feature Detection Evaluation"
-  booktitle =    "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
-  year =         "2008",
-  month =        "January"
-}
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
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diff --git a/data/haarcascades/haarcascade_mcs_nose.xml b/data/haarcascades/haarcascade_mcs_nose.xml
deleted file mode 100644
index 051c38c..0000000
--- a/data/haarcascades/haarcascade_mcs_nose.xml
+++ /dev/null
@@ -1,48433 +0,0 @@
-<?xml version="1.0"?>
-<!--
-  18x15 Nose detector computed with 7000 positive samples
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2008, Modesto Castrillon-Santana (IUSIANI, University of
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using any of the detectors or involved ideas please cite one of these papers:
-
-@ARTICLE{Castrillon07-jvci,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
-  title =        "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
-  journal =      "Journal of Visual Communication and Image Representation",
-  year =         "2007",
-  vol =          "18",
-  issue =        "2",
-  month =        "April",
-  pages =        "130-140"
-}
-
-@INPROCEEDINGS{Castrillon07-swb,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
-  title =        "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
-  booktitle =    "1st Spanish Workshop on Biometrics",
-  year =         "2007",
-  month =        "June",
-  address =      "Girona, Spain",
-  file = F
-}
-
-A comparison of this and other face related classifiers can be found in:
-
-@InProceedings{Castrillon08a-visapp,
- 'athor =       "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
-  title =        "Face and Facial Feature Detection Evaluation"
-  booktitle =    "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
-  year =         "2008",
-  month =        "January"
-}
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
--->
-<opencv_storage>
-<classifier_Nariz_20stages type_id="opencv-haar-classifier">
-  <size>
-    18 15</size>
-  <stages>
-    <_>
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-            <left_val>-0.6772649884223938</left_val>
-            <right_val>0.6687346100807190</right_val></_></_>
-        <_>
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diff --git a/data/haarcascades/haarcascade_mcs_rightear.xml b/data/haarcascades/haarcascade_mcs_rightear.xml
deleted file mode 100644
index eaf17b0..0000000
--- a/data/haarcascades/haarcascade_mcs_rightear.xml
+++ /dev/null
@@ -1,9671 +0,0 @@
-<?xml version="1.0"?>
-<!----------------------------------------------------------------------------
-  12x20 Right ear (in the image) detector computed with 5000 positive and 15000
-  negative samples
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2011, Modesto Castrillon-Santana (IUSIANI, Universidad de
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using any of the detectors or involved ideas please cite this paper:
-
-@INPROCEEDINGS{Castrillon11-caepia,
-  author =       "Castrill\'on Santana, M. and Lorenzo Navarro, J. and Hern\'andez Sosa, D. ",
-  title =        "An Study on Ear Detection and its Applications to Face Detection",
-  booktitle =    "Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA)",
-  year =         "2011",
-  month =        "November",
-  address =      "La Laguna, Spain",
-  file = F
-}
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto.html or in the paper.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
------------------------------------------------------------------------->
-<opencv_storage>
-<classifier_RightEarA_trainNew2011_12_20 type_id="opencv-haar-classifier">
-  <size>
-    12 20</size>
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diff --git a/data/haarcascades/haarcascade_mcs_righteye.xml b/data/haarcascades/haarcascade_mcs_righteye.xml
deleted file mode 100644
index dc99176..0000000
--- a/data/haarcascades/haarcascade_mcs_righteye.xml
+++ /dev/null
@@ -1,42252 +0,0 @@
-<?xml version="1.0"?>
-<!--
-  18x12 Right eye (in the image) detector computed with 7000 positive samples
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2006, Modesto Castrillon-Santana (IUSIANI, University of
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using any of the detectors or involved ideas please cite one of these papers:
-
-@ARTICLE{Castrillon07-jvci,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
-  title =        "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
-  journal =      "Journal of Visual Communication and Image Representation",
-  year =         "2007",
-  vol =          "18",
-  issue =        "2",
-  month =        "April",
-  pages =        "130-140"
-}
-
-@INPROCEEDINGS{Castrillon07-swb,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
-  title =        "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
-  booktitle =    "1st Spanish Workshop on Biometrics",
-  year =         "2007",
-  month =        "June",
-  address =      "Girona, Spain",
-  file = F
-}
-
-A comparison of this and other face related classifiers can be found in:
-
-@InProceedings{Castrillon08a-visapp,
- 'athor =       "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
-  title =        "Face and Facial Feature Detection Evaluation"
-  booktitle =    "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
-  year =         "2008",
-  month =        "January"
-}
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
--->
-
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diff --git a/data/haarcascades/haarcascade_mcs_upperbody.xml b/data/haarcascades/haarcascade_mcs_upperbody.xml
deleted file mode 100644
index 792b8d1..0000000
--- a/data/haarcascades/haarcascade_mcs_upperbody.xml
+++ /dev/null
@@ -1,46327 +0,0 @@
-<?xml version="1.0"?>
-<!--
-  22x20 Head and shoulders detector 
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2006, Modesto Castrillon-Santana (IUSIANI, University of
-| Las Palmas de Gran Canaria, Spain).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-RESEARCH USE:
-If you are using this particular detector or involved ideas please cite one of these papers:
-
-@InProceedings{Kruppa03-pets,
-  author =       "Hannes Kruppa, Modesto Castrill\'on-Santana and Bernt Schiele",
-  title =        "Fast and Robust Face Finding via Local Context."
-  booktitle =    "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
-  year =         "2003",
-  month =        "October"
-}
-
-@ARTICLE{Castrillon07-jvci,
-  author =       "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
-  title =        "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
-  journal =      "Journal of Visual Communication and Image Representation",
-  year =         "2007",
-  vol =          "18",
-  issue =        "2",
-  month =        "April",
-  pages =        "130-140"
-}
-
-A comparison of this and other face related classifiers can be found in:
-
-@InProceedings{Castrillon08a-visapp,
- 'athor =       "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
-  title =        "Face and Facial Feature Detection Evaluation"
-  booktitle =    "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
-  year =         "2008",
-  month =        "January"
-}
-
-More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work please contact 
-mcastrillon@iusiani.ulpgc.es
--->
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diff --git a/data/haarcascades/haarcascade_profileface.xml b/data/haarcascades/haarcascade_profileface.xml
deleted file mode 100644
index 5c0a5fd..0000000
--- a/data/haarcascades/haarcascade_profileface.xml
+++ /dev/null
@@ -1,31930 +0,0 @@
-<?xml version="1.0"?>
-<!--
-    20x20 profile face detector.
-    Contributed by David Bradley from Princeton University.
-
-////////////////////////////////////////////////////////////////////////////////////////
-
-  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.
-
-
-                        Intel License Agreement
-                For Open Source Computer Vision Library
-
- Copyright (C) 2000, Intel Corporation, all rights reserved.
- Third party copyrights are property of their respective owners.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
-   * Redistribution's of source code must retain the above copyright notice,
-     this list of conditions and the following disclaimer.
-
-   * Redistribution's 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 Intel Corporation may not be 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 Intel Corporation or 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.
-
--->
-
-<opencv_storage>
-<haarcascade_profileface type_id="opencv-haar-classifier">
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diff --git a/data/haarcascades/haarcascade_righteye_2splits.xml b/data/haarcascades/haarcascade_righteye_2splits.xml
deleted file mode 100644
index 2c260e8..0000000
--- a/data/haarcascades/haarcascade_righteye_2splits.xml
+++ /dev/null
@@ -1,9833 +0,0 @@
-<?xml version="1.0"?>
-<!--
-    Tree-based 20x20 right eye detector.
-    The detector is trained by 6665 positive samples from FERET, VALID and BioID face databases. 
-    Created by Shiqi Yu (http://yushiqi.cn/research/eyedetection).
-
-////////////////////////////////////////////////////////////////////////////////////////
-
-  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.
-
-
-                        Intel License Agreement
-                For Open Source Computer Vision Library
-
- Copyright (C) 2000, Intel Corporation, all rights reserved.
- Third party copyrights are property of their respective owners.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
-   * Redistribution's of source code must retain the above copyright notice,
-     this list of conditions and the following disclaimer.
-
-   * Redistribution's 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 Intel Corporation may not be 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 Intel Corporation or 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.
--->
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diff --git a/data/haarcascades/haarcascade_upperbody.xml b/data/haarcascades/haarcascade_upperbody.xml
deleted file mode 100644
index 45eeac9..0000000
--- a/data/haarcascades/haarcascade_upperbody.xml
+++ /dev/null
@@ -1,29767 +0,0 @@
-<?xml version="1.0"?>
-<!--
-   22x18 upperbody detector (see the detailed description below). 
-
-//////////////////////////////////////////////////////////////////////////
-| 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) 2004, Hannes Kruppa and Bernt Schiele (ETH Zurich, Switzerland).
-|  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
-//////////////////////////////////////////////////////////////////////////
-
-"Haar"-based Detectors For Pedestrian Detection
-===============================================
-by Hannes Kruppa and Bernt Schiele, ETH Zurich, Switzerland
-
-This archive provides the following three detectors:
-- upper body detector (most fun, useful in many scenarios!)
-- lower body detector
-- full body detector
-
-These detectors have been successfully applied to pedestrian detection
-in still images. They can be directly passed as parameters to the
-program HaarFaceDetect.
-NOTE: These detectors deal with frontal and backside views but not
-with side views (also see "Known limitations" below).
-
-RESEARCHERS:
-If you are using any of the detectors or involved ideas please cite
-this paper (available at www.vision.ethz.ch/publications/):
-
-@InProceedings{Kruppa03-bmvc,
-  author =       "Hannes Kruppa, Modesto Castrillon-Santana and Bernt Schiele",
-  title =        "Fast and Robust Face Finding via Local Context."
-  booktitle =    "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
-  year =         "2003",
-  month =        "October"
-}
-
-COMMERCIAL:
-If you have any commercial interest in this work please contact 
-hkruppa@inf.ethz.ch
-
-
-ADDITIONAL INFORMATION 
-====================== 
-Check out the demo movie, e.g. using mplayer or any (Windows/Linux-) player
-that can play back .mpg movies.
-Under Linux that's:
-> ffplay demo.mpg
-or:
-> mplayer demo.mpg
-
-The movie shows a person walking towards the camera in a realistic
-indoor setting. Using ffplay or mplayer you can pause and continue the
-movie by pressing the space bar.
-
-Detections coming from the different detectors are visualized using
-different line styles: 
-upper body : dotted line
-lower body : dashed line
-full body  : solid line
-
-You will notice that successful detections containing the target do
-not sit tightly on the body but also include some of the background
-left and right.  This is not a bug but accurately reflects the
-employed training data which also includes portions of the background
-to ensure proper silhouette representation. If you want to get a
-feeling for the training data check out the CBCL data set:
-http://www.ai.mit.edu/projects/cbcl/software-datasets/PedestrianData.html
-
-There is also a small number of false alarms in this sequence.  
-NOTE: This is per frame detection, not tracking (which is also one of
-the reasons why it is not mislead by the person's shadow on the back
-wall). 
-
-On an Intel Xeon 1.7GHz machine the detectors operate at something
-between 6Hz to 14 Hz (on 352 x 288 frames per second) depending on the
-detector. The detectors work as well on much lower image resolutions
-which is always an interesting possibility for speed-ups or
-"coarse-to-fine" search strategies.
-
-Additional information e.g. on training parameters, detector
-combination, detecting other types of objects (e.g. cars) etc. is
-available in my PhD thesis report (available end of June). Check out
-www.vision.ethz.ch/kruppa/
-
-
-KNOWN LIMITATIONS
-==================
-1) the detectors only support frontal and back views but not sideviews.
-   Sideviews are trickier and it makes a lot of sense to include additional
-   modalities for their detection, e.g. motion information. I recommend
-   Viola and Jones' ICCV 2003 paper if this further interests you.
-
-2) dont expect these detectors to be as accurate as a frontal face detector.
-   A frontal face as a pattern is pretty distinct with respect to other
-   patterns occuring in the world (i.e. image "background"). This is not so
-   for upper, lower and especially full bodies, because they have to rely
-   on fragile silhouette information rather than internal (facial) features.
-   Still, we found especially the upper body detector to perform amazingly well.
-   In contrast to a face detector these detectors will also work at very low
-   image resolutions 
-
-Acknowledgements
-================
-Thanks to Martin Spengler, ETH Zurich, for providing the demo movie.
--->
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diff --git a/data/hogcascades/hogcascade_pedestrians.xml b/data/hogcascades/hogcascade_pedestrians.xml
deleted file mode 100644
index f646c9d..0000000
--- a/data/hogcascades/hogcascade_pedestrians.xml
+++ /dev/null
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diff --git a/data/lbpcascades/lbpcascade_profileface.xml b/data/lbpcascades/lbpcascade_profileface.xml
deleted file mode 100755
index a9e8437..0000000
--- a/data/lbpcascades/lbpcascade_profileface.xml
+++ /dev/null
@@ -1,1275 +0,0 @@
-<!--
-    This is 20x34 detector of profile faces using LBP features.
-    It was created by Attila Novak during GSoC 2012.
-    Note that the detector only detects faces rotated to the right,
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--->
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diff --git a/data/lbpcascades/lbpcascade_silverware.xml b/data/lbpcascades/lbpcascade_silverware.xml
deleted file mode 100755
index 33aa443..0000000
--- a/data/lbpcascades/lbpcascade_silverware.xml
+++ /dev/null
@@ -1,1279 +0,0 @@
-<!--
-    This is 12x80 detector of the silverware (forks, spoons, knives) using LBP features.
-    It was created by Attila Novak during GSoC 2012.
-    Note that the detector only detects vertically oriented silverware,
-    so you should care of the proper image orientation
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diff --git a/packaging/opencv.spec b/packaging/opencv.spec
index f69adbf..77d3665 100644
--- a/packaging/opencv.spec
+++ b/packaging/opencv.spec
@@ -2,7 +2,7 @@ Name: opencv
 VCS:  #e3ca2f3bdcac02e9780c2de7001310a2a61a483e-dirty
 Summary: OpenCV library
 Version: 2.4.9
-Release: 6
+Release: 7
 Group: Development/Libraries
 License: BSD-2.0 and LGPL-2.1+
 Source0: %{name}-%{version}.tar.gz
-- 
2.7.4