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Hi Peter,<br>
<br>
regarding detectors evaluation, one typical way to evaluate them in
research is using <a
href="http://www.vlfeat.org/benchmarks/index.html">VLBenchmarks</a>,
a MATLAB framework for testing image feature
detectors and descriptors which some parts are based on the original
<a
href="http://www.robots.ox.ac.uk/%7Evgg/research/affine/#software">code</a>
of <a href="http://www.inrialpes.fr/lear/people/Mikolajczyk">K.
Mikolajczyk </a>and others just uses only Vlfeat. However, OpenCV
has a slightly implementation in C++ based on that mentioned
original code [<a
href="http://docs.opencv.org/master/da/d9b/group__features2d.html#gaa7cacd54220a6da4ee05748a0329b754">1</a>]
[<a
href="https://github.com/Itseez/opencv/blob/master/modules/features2d/src/evaluation.cpp#L454">2</a>].
In my opinion, if you are using this OpenCV implementation then the
code you want to release should go in the existent <a
href="http://wiki.ros.org/vision_opencv">vision_opencv</a> which
has some implemented OpenCV apps.<br>
<br>
<br>
Edgar<br>
<br>
<br>
<div class="moz-cite-prefix">On 02/03/16 09:57, Maarten de Vries via
ros-users wrote:<br>
</div>
<blockquote
cite="mid:CAPWpf+xe-88osNmdyKpRDxkRvpUsDc1qukCFbGZfDEUDy5Cg-A@mail.gmail.com"
type="cite">
<div dir="ltr">
<div class="gmail_extra"><br>
<div class="gmail_quote">On 19 February 2016 at 22:42, Peter
Lorenz via ros-users <span dir="ltr"><<a
moz-do-not-send="true"
href="mailto:ros-users@lists.ros.org" target="_blank"><a class="moz-txt-link-abbreviated" href="mailto:ros-users@lists.ros.org">ros-users@lists.ros.org</a></a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex"><br>
Hi,<br>
<br>
I want to publish a package on the ros website.<br>
It is about evaluation detectors in Computer Vision.<br>
<br>
Usually, the detector spits out, if and where it found a
desired object.<br>
You can read in XML files, which have saved the ground
truth and says where the object really is located.<br>
</blockquote>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
The package pops up a window where you will see the
rectangle of the ground truth and the rectangle of the
detector. So you can see, if those rectangles are
overlapping, the detector is right and saves the
percentage in<br>
file. This list will be read in a script, which shows up a
ROC curve of your database.<br>
</blockquote>
<div><br>
<div class="gmail_default"
style="font-family:arial,helvetica,sans-serif">
Automatic evaluation of (changes to) vision algorithms
would be very useful. I'm very interested to see your
package.</div>
<br>
</div>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
Please, help me to put this package on the ros webpage and
I will write a tutorial for it.<br>
</blockquote>
<div><br>
<div class="gmail_default"
style="font-family:arial,helvetica,sans-serif">I have
no experience publishing packages on the ROS website.
However, the code is normally hosted elsewhere, like
github. Would it be possible for you to publish the
package publicly first (for example on github) and give
us all the possibility to test it out? Undoubtedly
that's a good first step towards getting it published on
the ROS website too.<br>
<br>
</div>
<div class="gmail_default"
style="font-family:arial,helvetica,sans-serif">Kind
regards,<br>
</div>
<div class="gmail_default"
style="font-family:arial,helvetica,sans-serif">Maarten<br>
</div>
<br>
</div>
</div>
</div>
</div>
<br>
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