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.
+
+ CHANGELOG:
+
+ 2016-08-06: Re-trained with more negative samples and more stages. False
+ positives are much rarer now. If you tailored your code for the cascade's
+ previous version, now you should re-adjust the arguments of
+ CascadeClassifier::detectMultiScale. For example, decrease the value of the
+ minNeighbors argument. You do not need to use a human face detector to
+ cross-check the positives anymore.
+ 2014-04-25: First release (at https://bitbucket.org/Joe_Howse/angora-blue)
//////////////////////////////////////////////////////////////////////////
| Contributors License Agreement
| 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,
+ | Copyright (c) 2014-2016, Joseph Howse (Nummist Media Corporation Limited,
| Halifax, Nova Scotia, Canada). All rights reserved.
|
| Redistribution and use in source and binary forms, with or without
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</opencv_storage>
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.
+
+ CHANGELOG:
+
+ 2016-08-06: Re-trained with more negative samples and more stages. False
+ positives are much rarer now. If you tailored your code for the cascade's
+ previous version, now you should re-adjust the arguments of
+ CascadeClassifier::detectMultiScale. For example, decrease the value of the
+ minNeighbors argument. You do not need to use a human face detector to
+ cross-check the positives anymore.
+ 2014-04-25: First release (at https://bitbucket.org/Joe_Howse/angora-blue)
//////////////////////////////////////////////////////////////////////////
| Contributors License Agreement
| 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,
+ | Copyright (c) 2014-2016, Joseph Howse (Nummist Media Corporation Limited,
| Halifax, Nova Scotia, Canada). All rights reserved.
|
| Redistribution and use in source and binary forms, with or without
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<maxDepth>1</maxDepth>
<maxCatCount>0</maxCatCount>
<featSize>1</featSize>
<mode>ALL</mode></featureParams>
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</opencv_storage>
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.
+
+ CHANGELOG:
+
+ 2016-08-06: Re-trained with more negative samples and more stages. False
+ positives are much rarer now. If you tailored your code for the cascade's
+ previous version, now you should re-adjust the arguments of
+ CascadeClassifier::detectMultiScale. For example, decrease the value of the
+ minNeighbors argument. You do not need to use a human face detector to
+ cross-check the positives anymore.
+ 2014-04-25: First release (at https://bitbucket.org/Joe_Howse/angora-blue)
//////////////////////////////////////////////////////////////////////////
| Contributors License Agreement
| 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,
+ | Copyright (c) 2014-2016, Joseph Howse (Nummist Media Corporation Limited,
| Halifax, Nova Scotia, Canada). All rights reserved.
|
| Redistribution and use in source and binary forms, with or without
<width>24</width>
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<maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
<maxDepth>1</maxDepth>
<featureParams>
<maxCatCount>256</maxCatCount>
<featSize>1</featSize></featureParams>
- <stageNum>15</stageNum>
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<stages>
<!-- stage 0 -->
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projects / platform / upstream / opencv.git / commitdiff