How do we share instructive content of Q&A forum more efficiently
hi there,
I would firstly like to thank everyone who contributed to the forum.
Most of the things I know about OpenCV I have learned from the answers to the questions here.
In my spare time I read old posts and tried the written code or methods of suggested solutions.
I wanted to collect the instructive code of answers in a Repository on Github So far I have accumulated some code here and will continue to do so.
is it possible to open an offical Repository like "github.com/Itseez/QA_Examples" to collect such instructive examples.
i think by this way content of the forum will be reachable efficiently.
just saying: the 'meta answers.opencv forum' is here: https://github.com/opencv-infrastructure
@berak do you mean that I must ask this question there
nope. just saying, that a 'meta' complaint is more adequate there.
(hope, we'll see you with 'mod' super-power here, soon ;)
Thank you @berak i am honoured.
very nice github repo !
the noteworthy_content tag is your latest idea ? like a best_of_qa ? might be a good way to look for popular answers !
About "github.com/Itseez/QA_Examples" it's a good idea.
@StevenPuttemans@berak@LBerger@Tetragramm@pklab@Balaji R @theodore@LorenaGdL@Eduardo@kbarni@FooBar@Siegfried@Mathieu Barnachon .... what is your opinion about requesting a new repo "github.com/opencv/opencv-user" (maybe a better name ) in it we will gather useful infos and code. maybe the team will grow
In my opinion, making a complete new repo just for this is bollocks. I would prefer extending the examples/tutorials/wiki page base of the existing OpenCV github with keepable content. I push every author of a nice answer to post it as a sample or tutorial and we should keep doing that. Simply making yet another location of OpenCV source will not help in maintaining everything.
@sturkmen
It already exists Github, blogpost, ...
In my opinion, it should be something like https://mathworks.com/matlabcentral/fileexchange to be able to rate code, comment, etc. But it will require a new infrastructure, large support and the Matlab community is less spread than the C++ / OpenCV community.