I googled this question a lot but couldn't find any solution? Please help.I found help for OpenCV 2.0 and 2.1 but that doesn't work for the latest version 2.4.6. Also I have no idea what CMake and MingW is?
Here is an official installation guide. You should not use dev-c++ because it is old, outdated software. Try some modern IDE like code::blocks or eclipse.
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Having an issue with trying to build any opencv version with code::blocks.
I've have built opencv successfully before and have no idea what the issue is.
I've tried following many different tutorials on building opencv using mingw 4.9.2 and CMake. I have also tried using mingw32 and mingw64.
But I continue to receive the errors shown in the image above.
My question is; What is the issue? How can I fix this? And, lastly, what am I doing wrong?
Found that the version of OpenCV I was using had issues with MinGW. Tested a whole bunch of OpenCV versions (3.3, 3.2, 3.1, 2.4.13, 2.4.13.3).
I found that OpenCV version 2.4.9 with the latest version of CMake and MinGW worked.
Thought I'd leave this here to help anyone else having issues with creating OpenCV to work with MinGW/Code::Blocks
I am in need of GCC 4.1.2 compiler for windows.I don't know much about compilers.If gcc compiler is not available for windows then, are there any similar compilers for windows? Any one please help me out.
If you want the real easy way and you'll have GCC 4.x installed in 2 clicks.
Download CodeBlocks + MinGW
http://prdownload.berlios.de/codeblocks/codeblocks-13.12mingw-setup.exe
http://www.codeblocks.org/downloads/26
[Updated link: Initially did one without mingw]
You can go with these options :
MinGW
Cygwin
Have you tried the two options for windows on Installing GCC Binaries webpage? It is located here.
Does anyone know if I can use the OpenCV library in python 3.X? or should I stick to using scikit-image for task like object recognition?
I want to try out openCV but decided last year to swich from 2.7.
I searched for packets here:
http://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv
But none exist for python 3
ccsv: As of 4 June 2015, Christoph Gohlke's site is now updated with the latest release of OpenCV 3.0 with Python 3.x bindings:
http://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv
AFAIK you can build the latest Trunk of OpenCV yourself with Python 3.x bindings.
As you can see here in the logs, Python 3.x support was added 2013 already and should work.
For information about how you can build OpenCV look here.
I have a problem installing sikuli on fedora 16 its a 64 bits architecture, my main problem comes with the compilation of opencv, sikuli requires the 2.1 version of opencv and in the cmake step it tells me it can not find some libraries. I have tried installing the libraries and creating symbolic links but it still will not work, does anybody knows a good tutorial or some good ideas to solve my problem?
I'd recommend you to raise a question on Sikuli bug tracker https://answers.launchpad.net/sikuli because it's quicker to get the response from developers there.
Here is a question similar to your issue: https://answers.launchpad.net/sikuli/+question/198796
sir,
I have tried my level best to install open cv library 2.2.0 version.but it has'nt suceeded
it shows that errors in linking the library hughigh,
whether we wanted to insatll the ipp library prior to install the opencv?
please help me ?..............
I can only recommend the install advice on the OpenCV page. If you are using a unix download the source of the library you want to install and then use cmake to install the library. That usually works fine for me.
Try installing the 1.1 version of OpenCV.
The 2.x version is brand new and as of Nov 1 2009 you will have difficulty finding documentation for that. The 1.1 version of OpenCV, on the other hand, is very well documented and you should have no trouble finding online tutorials for your platform that walk you through the installation process step-by-step.
As an aside: "IPP" refers to Intel's Performance Primitives. In the 1.1 version these are entirely optional. OpenCV does not require them. If you have the Performance Primitives installed, however, your OpenCV code may run faster. (For me it cut down my image processing time by a factor of five.) Once you get everything up and running you can purchase the IPP library from intel here: http://software.intel.com/en-us/intel-ipp/