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*VERSION 3.25 OF TOOLBOX*
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pdollar committed Dec 16, 2013
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3 changes: 3 additions & 0 deletions doc/channels/Contents.html
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Expand Up @@ -33,7 +33,10 @@ <h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="
&quot;The Fastest Pedestrian Detector in the West,&quot; BMVC 2010.
[3] P. Dollár, R. Appel and W. Kienzle
&quot;Crosstalk Cascades for Frame-Rate Pedestrian Detection,&quot; ECCV 2012.
[4] P. Dollár, R. Appel, S. Belongie and P. Perona
&quot;Fast Feature Pyramids for Object Detection&quot;, PAMI 2014.
Please cite a subset of the above papers if you end up using the code.
The PAMI 2014 paper has the most thorough and up to date descriptions.
Code written and maintained by Piotr Dollar and Ron Appel.

Channels:
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8 changes: 4 additions & 4 deletions doc/channels/chnsPyramid.html
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Expand Up @@ -46,8 +46,8 @@ <h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="
can be used to approximate feature responses at nearby scales. The
approximation is accurate at least within an entire scale octave. For
details and to understand why this unexpected result holds, please see:
P. Dollár, S. Belongie and P. Perona
&quot;The Fastest Pedestrian Detector in the West,&quot; BMVC 2010.
P. Dollár, R. Appel, S. Belongie and P. Perona
&quot;Fast Feature Pyramids for Object Detection&quot;, PAMI 2014.

The parameter &quot;nApprox&quot; determines how many intermediate scales are
approximated using the techniques described in the above paper. Roughly
Expand Down Expand Up @@ -131,8 +131,8 @@ <h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="

See also <a href="chnsCompute.html" class="code" title="function chns = chnsCompute( I, varargin )">chnsCompute</a>, <a href="chnsScaling.html" class="code" title="function [lambdas,as,scales,fs] = chnsScaling( pChns, Is, show )">chnsScaling</a>, <a href="convTri.html" class="code" title="function J = convTri( I, r, s, nomex )">convTri</a>, <a href="imPad.html" class="code" title="function J = imPad( I, pad, type )">imPad</a>

Piotr's Image&amp;Video Toolbox Version 3.02
Copyright 2012 Piotr Dollar &amp; Ron Appel. [pdollar-at-caltech.edu]
Piotr's Image&amp;Video Toolbox Version 3.25
Copyright 2013 Piotr Dollar &amp; Ron Appel. [pdollar-at-caltech.edu]
Please email me if you find bugs, or have suggestions or questions!
Licensed under the Simplified BSD License [see external/bsd.txt]</pre></div>

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10 changes: 5 additions & 5 deletions doc/channels/chnsScaling.html
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Expand Up @@ -30,8 +30,8 @@ <h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="
can be used to approximate feature responses at nearby scales. The
approximation is accurate at least within an entire scale octave. For
details and to understand why this unexpected result holds, please see:
P. Dollár, S. Belongie and P. Perona
&quot;The Fastest Pedestrian Detector in the West,&quot; BMVC 2010.
P. Dollár, R. Appel, S. Belongie and P. Perona
&quot;Fast Feature Pyramids for Object Detection&quot;, PAMI 2014.

This function computes channels at multiple image scales and plots the
resulting power law scaling. The purpose of this function is two-fold:
Expand Down Expand Up @@ -62,14 +62,14 @@ <h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="
fs - [nImages x nScales x nTypes] array of feature means

EXAMPLE
sDir='E:/code/detector/pedsData/train/negBig';
sDir = 'data/Inria/train/neg/';
Is = fevalImages( @(x) {x}, {}, sDir, 'I', 'png', 0, 200 );
p = chnsCompute(); lambdas = chnsScaling( p, Is, 1 );

See also <a href="chnsCompute.html" class="code" title="function chns = chnsCompute( I, varargin )">chnsCompute</a>, <a href="chnsPyramid.html" class="code" title="function pyramid = chnsPyramid( I, varargin )">chnsPyramid</a>, fevalImages

Piotr's Image&amp;Video Toolbox Version 3.02
Copyright 2012 Piotr Dollar &amp; Ron Appel. [pdollar-at-caltech.edu]
Piotr's Image&amp;Video Toolbox Version 3.25
Copyright 2013 Piotr Dollar &amp; Ron Appel. [pdollar-at-caltech.edu]
Please email me if you find bugs, or have suggestions or questions!
Licensed under the Simplified BSD License [see external/bsd.txt]</pre></div>

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3 changes: 3 additions & 0 deletions doc/detector/Contents.html
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Expand Up @@ -33,7 +33,10 @@ <h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="
&quot;The Fastest Pedestrian Detector in the West,&quot; BMVC 2010.
[3] P. Dollár, R. Appel and W. Kienzle
&quot;Crosstalk Cascades for Frame-Rate Pedestrian Detection,&quot; ECCV 2012.
[4] P. Dollár, R. Appel, S. Belongie and P. Perona
&quot;Fast Feature Pyramids for Object Detection&quot;, PAMI 2014.
Please cite a subset of the above papers if you end up using the code.
The PAMI 2014 paper has the most thorough and up to date descriptions.
Code written and maintained by Piotr Dollar and Ron Appel.

Aggregate channel features object detector:
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12 changes: 6 additions & 6 deletions doc/detector/acfTrain.html
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Expand Up @@ -25,11 +25,11 @@ <h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src
<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Train aggregate channel features object detector.

Train aggregate channel features (ACF) object detector:
P. Dollár, Z. Tu, P. Perona and S. Belongie
&quot;Integral Channel Features&quot;, BMVC 2009.
The exact details of the algorithm below differ substantially from the
BMVC09 paper, a more up-to-date method writeup is not yet available.
Train aggregate channel features (ACF) object detector as described in:
P. Dollár, R. Appel, S. Belongie and P. Perona
&quot;Fast Feature Pyramids for Object Detection&quot;, PAMI 2014.
The ACF detector is fast (30 fps on a single core) and achieves top
accuracy on rigid object detection.

Takes a set of parameters opts (described in detail below) and trains a
detector from start to finish including performing multiple rounds of
Expand Down Expand Up @@ -129,7 +129,7 @@ <h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="
See also <a href="acfDetect.html" class="code" title="function bbs = acfDetect( I, detector, fileName )">acfDetect</a>, <a href="acfDemoInria.html" class="code" title="">acfDemoInria</a>, <a href="acfModify.html" class="code" title="function detector = acfModify( detector, varargin )">acfModify</a>, <a href="acfTest.html" class="code" title="function [miss,roc,gt,dt] = acfTest( varargin )">acfTest</a>, chnsCompute,
chnsPyramid, adaBoostTrain, <a href="bbGt.html" class="code" title="function varargout = bbGt( action, varargin )">bbGt</a>, <a href="bbNms.html" class="code" title="function bbs = bbNms( bbs, varargin )">bbNms</a>, jitterImage

Piotr's Image&amp;Video Toolbox Version 3.22
Piotr's Image&amp;Video Toolbox Version 3.25
Copyright 2013 Piotr Dollar &amp; Ron Appel. [pdollar-at-caltech.edu]
Please email me if you find bugs, or have suggestions or questions!
Licensed under the Simplified BSD License [see external/bsd.txt]</pre></div>
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4 changes: 4 additions & 0 deletions doc/history.txt
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Version 3.25 (15-Dec-2013)
-added pointer to PAMI14 work: chnsScaling.m, acfTrain.m, chnsPyramid.m
-minor: toolboxCompile.m

Version 3.24 (10-Oct-2013)
-classify/private/*.cpp: minor fixes for very large datasets
-classify/forest*.m: added new options for splitting/applying
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11 changes: 5 additions & 6 deletions doc/overview.html
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Expand Up @@ -40,12 +40,11 @@ <h2>DOWNLOAD<a href="#_top"><img alt=^ src="up.png" border=0 /></a></h2>
<p><strong>For version history click <a href="history.txt">here.</a>
This code is licensed under the <a href="http://en.wikipedia.org/wiki/BSD_licenses" target="blank">Simplified BSD License.</a></strong></p>
<ul>
<li><a href="../piotr_toolbox.zip">Version 3.24</a> &nbsp; Oct. 10, 2013 &nbsp; [current stable version]
<li><a href="../piotr_toolbox.zip">Version 3.25</a> &nbsp; Dec. 15, 2013 &nbsp; [current stable version]
<li><a href="../piotr_toolbox_V1.03.zip">Version 1.03</a> &nbsp; May. 03, 2006 &nbsp; [compatible with cuboids code]
<li><a href="../">All Versions</a>
</ul>
</div>

<p>Requires Matlab 2011b or later and Matlab's Image Processing Toolbox.</p>
</div>

<h2>INSTALL<a href="#_top"><img alt=^ src="up.png" border=0 /></a></h2>
Expand All @@ -54,8 +53,8 @@ <h2>INSTALL<a href="#_top"><img alt=^ src="up.png" border=0 /></a></h2>
<br/>&nbsp; &gt;&gt; addpath(genpath('c:\toolbox')); savepath;</p>
<p>If needed, run the compile script for the mex files:
<br/>&nbsp; &gt;&gt; toolboxCompile;
<br/>Note: 64 bit Windows/Linux binaries are already included.
</p>
<br/>Note: 64 bit Windows/Linux binaries are already included.
</p>
</div>

<h2>CITE<a href="#_top"><img alt=^ src="up.png" border=0 /></a></h2>
Expand All @@ -73,7 +72,7 @@ <h2>CONTACT<a href="#_top"><img alt=^ src="up.png" border=0 /></a></h2>
<div class=box>
If you have a question or a suggestion, or if you find a bug,
please email me at<font style="BACKGROUND-COLOR: #f5f5f5" color=#0000ff>
pdollar-at-caltech.edu</font></div>
pdollar-at-caltech.edu</font>
</div>

<!-- Start of Google Analytics Code -->
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2 changes: 1 addition & 1 deletion external/history.txt
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@@ -1,4 +1,4 @@
Version NEW
Version 3.25 (15-Dec-2013)
-added pointer to PAMI14 work: chnsScaling.m, acfTrain.m, chnsPyramid.m
-minor: toolboxCompile.m

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2 changes: 1 addition & 1 deletion external/m2html/templates/frame-piotr/overview.html
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Expand Up @@ -40,7 +40,7 @@ <h2>DOWNLOAD<a href="#_top"><img alt=^ src="up.png" border=0 /></a></h2>
<p><strong>For version history click <a href="history.txt">here.</a>
This code is licensed under the <a href="http://en.wikipedia.org/wiki/BSD_licenses" target="blank">Simplified BSD License.</a></strong></p>
<ul>
<li><a href="../piotr_toolbox.zip">Version 3.24</a> &nbsp; Oct. 10, 2013 &nbsp; [current stable version]
<li><a href="../piotr_toolbox.zip">Version 3.25</a> &nbsp; Dec. 15, 2013 &nbsp; [current stable version]
<li><a href="../piotr_toolbox_V1.03.zip">Version 1.03</a> &nbsp; May. 03, 2006 &nbsp; [compatible with cuboids code]
<li><a href="../">All Versions</a>
</ul>
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