Frontal cat face detectors

diff --git a/data/haarcascades/haarcascade_frontalcatface.xml b/data/haarcascades/haarcascade_frontalcatface.xml
new file mode 100644 (file)
index 0000000..75341bb
--- /dev/null
+++ b/data/haarcascades/haarcascade_frontalcatface.xml
@@ -0,0 +1,13319 @@
+<?xml version="1.0"?>
+<!----------------------------------------------------------------------------
+ A frontal cat face detector using the basic set of Haar features, i.e.
+ horizontal and vertical features but not diagonal features.
+ 
+ Contributed by Joseph Howse (josephhowse@nummist.com).
+ 
+ More information can be found in the following publications and
+ presentations:
+ 
+ Joseph Howse. OpenCV for Secret Agents (book). Packt Publishing, January
+   2015.
+ Joseph Howse. "Training Detectors and Recognizers in Python and OpenCV"
+   (tutorial). ISMAR 2014. September 9, 2014.
+   http://nummist.com/opencv/Howse_ISMAR_20140909.pdf
+ Joseph Howse. "Training Intelligent Camera Systems with Python and OpenCV"
+   (webcast). O’Reilly Media. June 17, 2014.
+   http://www.oreilly.com/pub/e/3077
+ 
+ Build scripts and demo applications can be found in the following repository:
+ https://bitbucket.org/Joe_Howse/angora-blue
+ 
+ KNOWN LIMITATIONS:
+ 
+ Sometimes, the detector mistakenly thinks that a human face is a cat face. In
+ situations where either a human or a cat might be encountered, use both a
+ human face detector and a cat face detector. Then, if a detected human face
+ and a detected cat face intersect, reject the cat face.
+ 
+ An upright subject is assumed. In situations where the cat's face might be
+ sideways or upside down (e.g. the cat is rolling over), try various rotations
+ of the input image.
+ 
+ //////////////////////////////////////////////////////////////////////////
+ | Contributors License Agreement
+ | IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+ |   By downloading, copying, installing or using the software you agree
+ |   to this license.
+ |   If you do not agree to this license, do not download, install,
+ |   copy or use the software.
+ |
+ | Copyright (c) 2014, Joseph Howse (Nummist Media Corporation Limited,
+ | Halifax, Nova Scotia, Canada). All rights reserved.
+ |
+ | Redistribution and use in source and binary forms, with or without
+ | modification, are permitted provided that the following conditions are
+ | met:
+ |
+ |    * Redistributions of source code must retain the above copyright
+ |       notice, this list of conditions and the following disclaimer.
+ |    * Redistributions in binary form must reproduce the above
+ |      copyright notice, this list of conditions and the following
+ |      disclaimer in the documentation and/or other materials provided
+ |      with the distribution.
+ |    * The name of Contributor may not used to endorse or promote products
+ |      derived from this software without specific prior written permission.
+ |
+ | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ | "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ | LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ | A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+ | CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ | EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ | PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ | PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ | LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ | NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.  Back to
+ | Top
+ //////////////////////////////////////////////////////////////////////////
+ ---------------------------------------------------------------------------->
+<opencv_storage>
+<cascade>
+  <stageType>BOOST</stageType>
+  <featureType>HAAR</featureType>
+  <height>24</height>
+  <width>24</width>
+  <stageParams>
+    <boostType>GAB</boostType>
+    <minHitRate>9.9900001287460327e-01</minHitRate>
+    <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
+    <weightTrimRate>9.4999999999999996e-01</weightTrimRate>
+    <maxDepth>1</maxDepth>
+    <maxWeakCount>100</maxWeakCount></stageParams>
+  <featureParams>
+    <maxCatCount>0</maxCatCount>
+    <featSize>1</featSize>
+    <mode>BASIC</mode></featureParams>
+  <stageNum>15</stageNum>
+  <stages>
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diff --git a/data/haarcascades/haarcascade_frontalcatface_extended.xml b/data/haarcascades/haarcascade_frontalcatface_extended.xml
new file mode 100644 (file)
index 0000000..97c0486
--- /dev/null
+++ b/data/haarcascades/haarcascade_frontalcatface_extended.xml
@@ -0,0 +1,12750 @@
+<?xml version="1.0"?>
+<!----------------------------------------------------------------------------
+ A frontal cat face detector using the full set of Haar features, i.e.
+ horizontal, vertical, and diagonal features.
+ 
+ Contributed by Joseph Howse (josephhowse@nummist.com).
+ 
+ More information can be found in the following publications and
+ presentations:
+ 
+ Joseph Howse. OpenCV for Secret Agents (book). Packt Publishing, January
+   2015.
+ Joseph Howse. "Training Detectors and Recognizers in Python and OpenCV"
+   (tutorial). ISMAR 2014. September 9, 2014.
+   http://nummist.com/opencv/Howse_ISMAR_20140909.pdf
+ Joseph Howse. "Training Intelligent Camera Systems with Python and OpenCV"
+   (webcast). O’Reilly Media. June 17, 2014.
+   http://www.oreilly.com/pub/e/3077
+ 
+ Build scripts and demo applications can be found in the following repository:
+ https://bitbucket.org/Joe_Howse/angora-blue
+ 
+ KNOWN LIMITATIONS:
+ 
+ Sometimes, the detector mistakenly thinks that a human face is a cat face. In
+ situations where either a human or a cat might be encountered, use both a
+ human face detector and a cat face detector. Then, if a detected human face
+ and a detected cat face intersect, reject the cat face.
+ 
+ An upright subject is assumed. In situations where the cat's face might be
+ sideways or upside down (e.g. the cat is rolling over), try various rotations
+ of the input image.
+ 
+ //////////////////////////////////////////////////////////////////////////
+ | Contributors License Agreement
+ | IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+ |   By downloading, copying, installing or using the software you agree
+ |   to this license.
+ |   If you do not agree to this license, do not download, install,
+ |   copy or use the software.
+ |
+ | Copyright (c) 2014, Joseph Howse (Nummist Media Corporation Limited,
+ | Halifax, Nova Scotia, Canada). All rights reserved.
+ |
+ | Redistribution and use in source and binary forms, with or without
+ | modification, are permitted provided that the following conditions are
+ | met:
+ |
+ |    * Redistributions of source code must retain the above copyright
+ |       notice, this list of conditions and the following disclaimer.
+ |    * Redistributions in binary form must reproduce the above
+ |      copyright notice, this list of conditions and the following
+ |      disclaimer in the documentation and/or other materials provided
+ |      with the distribution.
+ |    * The name of Contributor may not used to endorse or promote products
+ |      derived from this software without specific prior written permission.
+ |
+ | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ | "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ | LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ | A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+ | CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ | EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ | PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ | PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ | LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ | NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.  Back to
+ | Top
+ //////////////////////////////////////////////////////////////////////////
+ ---------------------------------------------------------------------------->
+<opencv_storage>
+<cascade>
+  <stageType>BOOST</stageType>
+  <featureType>HAAR</featureType>
+  <height>24</height>
+  <width>24</width>
+  <stageParams>
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+    <maxCatCount>0</maxCatCount>
+    <featSize>1</featSize>
+    <mode>ALL</mode></featureParams>
+  <stageNum>15</stageNum>
+  <stages>
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+</opencv_storage>

diff --git a/data/lbpcascades/lbpcascade_frontalcatface.xml b/data/lbpcascades/lbpcascade_frontalcatface.xml
new file mode 100644 (file)
index 0000000..afedb97
--- /dev/null
+++ b/data/lbpcascades/lbpcascade_frontalcatface.xml
@@ -0,0 +1,3336 @@
+<?xml version="1.0"?>
+<!----------------------------------------------------------------------------
+ A frontal cat face detector using LBP features.
+ 
+ Contributed by Joseph Howse (josephhowse@nummist.com).
+ 
+ More information can be found in the following publications and
+ presentations:
+ 
+ Joseph Howse. OpenCV for Secret Agents (book). Packt Publishing, January
+   2015.
+ Joseph Howse. "Training Detectors and Recognizers in Python and OpenCV"
+   (tutorial). ISMAR 2014. September 9, 2014.
+   http://nummist.com/opencv/Howse_ISMAR_20140909.pdf
+ Joseph Howse. "Training Intelligent Camera Systems with Python and OpenCV"
+   (webcast). O’Reilly Media. June 17, 2014.
+   http://www.oreilly.com/pub/e/3077
+ 
+ Build scripts and demo applications can be found in the following repository:
+ https://bitbucket.org/Joe_Howse/angora-blue
+ 
+ KNOWN LIMITATIONS:
+ 
+ Sometimes, the detector mistakenly thinks that a human face is a cat face. In
+ situations where either a human or a cat might be encountered, use both a
+ human face detector and a cat face detector. Then, if a detected human face
+ and a detected cat face intersect, reject the cat face.
+ 
+ An upright subject is assumed. In situations where the cat's face might be
+ sideways or upside down (e.g. the cat is rolling over), try various rotations
+ of the input image.
+ 
+ //////////////////////////////////////////////////////////////////////////
+ | Contributors License Agreement
+ | IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+ |   By downloading, copying, installing or using the software you agree
+ |   to this license.
+ |   If you do not agree to this license, do not download, install,
+ |   copy or use the software.
+ |
+ | Copyright (c) 2014, Joseph Howse (Nummist Media Corporation Limited,
+ | Halifax, Nova Scotia, Canada). All rights reserved.
+ |
+ | Redistribution and use in source and binary forms, with or without
+ | modification, are permitted provided that the following conditions are
+ | met:
+ |
+ |    * Redistributions of source code must retain the above copyright
+ |       notice, this list of conditions and the following disclaimer.
+ |    * Redistributions in binary form must reproduce the above
+ |      copyright notice, this list of conditions and the following
+ |      disclaimer in the documentation and/or other materials provided
+ |      with the distribution.
+ |    * The name of Contributor may not used to endorse or promote products
+ |      derived from this software without specific prior written permission.
+ |
+ | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ | "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ | LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ | A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+ | CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ | EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ | PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ | PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ | LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ | NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.  Back to
+ | Top
+ //////////////////////////////////////////////////////////////////////////
+ ---------------------------------------------------------------------------->
+<opencv_storage>
+<cascade>
+  <stageType>BOOST</stageType>
+  <featureType>LBP</featureType>
+  <height>24</height>
+  <width>24</width>
+  <stageParams>
+    <boostType>GAB</boostType>
+    <minHitRate>9.9900001287460327e-01</minHitRate>
+    <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
+    <weightTrimRate>9.4999999999999996e-01</weightTrimRate>
+    <maxDepth>1</maxDepth>
+    <maxWeakCount>100</maxWeakCount></stageParams>
+  <featureParams>
+    <maxCatCount>256</maxCatCount>
+    <featSize>1</featSize></featureParams>
+  <stageNum>15</stageNum>
+  <stages>
+    <!-- stage 0 -->
+    <_>
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+      <stageThreshold>-1.7687875032424927e+00</stageThreshold>
+      <weakClassifiers>
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