Hi Peter, regarding detectors evaluation, one typical way to evaluate them in research is using VLBenchmarks , a MATLAB framework for testing image feature detectors and descriptors which some parts are based on the original code of K. Mikolajczyk and others just uses only Vlfeat. However, OpenCV has a slightly implementation in C++ based on that mentioned original code [1 ] [2 ]. In my opinion, if you are using this OpenCV implementation then the code you want to release should go in the existent vision_opencv which has some implemented OpenCV apps. Edgar On 02/03/16 09:57, Maarten de Vries via ros-users wrote: > > On 19 February 2016 at 22:42, Peter Lorenz via ros-users > > wrote: > > > Hi, > > I want to publish a package on the ros website. > It is about evaluation detectors in Computer Vision. > > Usually, the detector spits out, if and where it found a desired > object. > You can read in XML files, which have saved the ground truth and > says where the object really is located. > > 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 > file. This list will be read in a script, which shows up a ROC > curve of your database. > > > ​ Automatic evaluation of (changes to) vision algorithms would be very > useful. I'm very interested to see your package.​ > > Please, help me to put this package on the ros webpage and I will > write a tutorial for it. > > > ​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. > > Kind regards, > Maarten > > > > _______________________________________________ > ros-users mailing list > ros-users@lists.ros.org > http://lists.ros.org/mailman/listinfo/ros-users