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Removing whitespace to appease doc builder

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This commit is contained in:
Joe Howse 2014-12-26 21:15:45 -04:00
parent 450ba8b43f
commit a963ade012
3 changed files with 24 additions and 24 deletions
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16
data/haarcascades/haarcascade_frontalcatface.xml
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@ -2,12 +2,12 @@
<!----------------------------------------------------------------------------
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"
@ -16,21 +16,21 @@
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.

16
data/haarcascades/haarcascade_frontalcatface_extended.xml
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@ -2,12 +2,12 @@
<!----------------------------------------------------------------------------
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"
@ -16,21 +16,21 @@
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.

16
data/lbpcascades/lbpcascade_frontalcatface.xml
View File

@ -1,12 +1,12 @@
<?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"
@ -15,21 +15,21 @@
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.