OpenCV 2.0.0a is very different to the older version of OpenCV and so is very different to setup. I have tried to set it up for Visual C++ Express 2008 but to no avail so I wanted to ask whether anyone has got it to work on Dev C++ and if yes can they tell me how.
You may want to have a look at this
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I'm new to coding so please forgive me if I've asked something too obvious.
I'm trying to set up Visual Studio Code (Version 1.46.1) on my Mac running Catalina (10.15.4), and I want to build my C++ code using gcc. I understand that Mac uses Clang and since I want to get into Competitive Coding, I'd prefer if gcc was used in VSC when I build my code. How do I do that?
I've tried following the documentation as well as various YouTube videos but I can't find anything given in a simple structure. Also, I wanted to make sure that I was using C++ 17 and not any other version.
Thanks in advance!
I am wondering if there was a workaround for using the R package Rcpp within a Visual C++ project within Visual Studio. According to the Rcpp FAQ, this is not possible. I also came across another R package called R.NET. Can this only work with C# but there seems to be no examples from within Visual C++? Is there another option for this that I am missing? Even if I am forced to work with C#, can anyone envision latency issues with this for a high frequency trading environment?
Thanks for any feedback
We address this very question clearly in the Rcpp FAQ (which comes as vignette in the package, is on the CRAN site and its mirrors, and on my website).
In short, Rcpp supports the exact same toolchain which R supports. And on Windows that is MinGW (the port of gcc to Windows) provided by the Rtools package for R.
R Core only support MinGW, and we do the same. If one could compile R with Visual Studio, things would be easier, but as Rcpp sits on top of R we are playing the hand we are dealt with.
So sorry, the answer is a "No" to Visual Studio.
The question is what you really want to connnect with what. If you want to use R within C++ Rcpp seems to be the wrong decision as it connects C++ to R (and not the other way round as your question implies.).
If you want to connect R to C++ and use Visual C++ for creating your C++ code only (instead of linking R to C++), you might want to check this recent blog post (found via R-bloggers.com). It tells you a possible way of doing so.
Visual Studio works just fine with Rcpp. Has done for years. I disagree with Dirk Eddelbuettel.
This is an important fact - For example, there are very important libraries (Intels MKL, QT graphics framework) which are actually not compatible with minGW.
I maintain a (patched and cut-down) fork of Rcpp on github (https://github.com/rohan-shah/Rcpp) suitable for compilation with Visual Studio with cmake. The patch is something like five lines, I believe.
Disclaimer: It's fiddly to use, and you have to know what you're doing. If you do know what you're doing though, I've done quite a bit of the work for you. See https://github.com/rohan-shah/mpMap2 for an example of how to use patched Rcpp with Visual Studio.
I am having problems with OpenCV as I need to use SURF on my C++ Visual Studio 2015 project but apparently is not part of OpenCV 2.4.13 and needs to be downloaded separately.
What I specifically need is this package:
"opencv2/nonfree"
I've been looking over the Internet but I could not find anything, just a few tutorials for Ubuntu.
Does anyone know how to add these modules to the Windows version?
Thank you in advance for your time.
I've got a C++ VS2013 solution with 3 projects, using OpenCV 2.4.10, easylogging++ and Dlib libraries. The problem is that our client is now migrating to Linux (Ubuntu Server). I've looked into Cygwin and MinGW and a few questions here on stackoverflow, but I'm still lost as to where I should start. I need this done as soon as possible, so the simpler solution would be best. I really appreciate any help you can provide.
I recommend using cmake build system on ubuntu. Using Opencv and easylogging on ubuntu out of the box could be a matter of minutes. dlib's website also mentions a simple cmake building steps that works on ubuntu.
After you get your libraries up and running, build your code and see if there are any system-dependent functions then google how to standardize them across systems. If your code is already standardized it should run right then and there.
You can then ask about any specific issues you meet on the way.
I have tried today for five hours to install OpenCV and run a simple program to check that it works. I have not been able to do this despite looking at several tutorials and youtube video's. Could anyone tell me firstly if there is a difference between using cygwin or mingw? Why is it so hard to link the OpenCV libraries to netbeans. I love the IDE but will have to use Visual Studio if I cant get it working tomorrow. I have not been able to find a tutorial that references opencv2.4.6 which is the latest version and netbeans 7.4. For anyone interested the cygwin version I down loaded was 1.7.25. The main problem I am having is finding out how to correctly link the OpenCV headers etc to netbeans. If anyone has made a record of how to do this then sharing it would be great. Maybe I'm going wrong with the system variables I'm just not sure. As said any help or directions to up to date tutorials would be a great help. I love Netbeans and want to keep using it.
Thanks
I stumbled across this post while trying to set up OpenCV with Netbeans 7.4 on windows 7.
After finally getting everything to work I wrote this guide: OpenCV Netbeans C++ setup guide
I was able to get all the libraries linked. Also the clean/Build and run works for my C++ opencv 2.4.7 app from netbeans 7.4. Hope this can help anyone else who might want to use Netbeans for OpenCV coding.