![]() ![]() Let me know if it helped you out in the comments.The configuration is as follows: Host ModelArts-xx The link here is for OpenCV 3.0 and you need to do some changes from there( See step 7). Hopefully this helps you if you are an OpenCV enthusiast wanting to work in Windows.Ī lot of the above steps were taken from a really helpful link here. Type the executable name along with any command line arguments if you want some. You need to type something like :-Ĭd Documents\Visual Studio 2015\projects\testOpenCV” Go to the folder where your project is.Just go to run and type “cmd” or open the command window on Windows from your applications section.But you may want to run it from outside VS2015. I compile the code using VS2015 as it’s easier for debugging and stuff.Running the executable from outside Visual Studio 2015.Maybe this one from the OpenCV docs itself ? Try any simple code to check out if the installation worked.In this case I’ve added both “C:\opencv_git\mybuild\install\x86\vc14\bin” and “C:\opencv_git\mybuild\install\x86\vc14\lib” to my Path entry.c dll library locations to the Environment Variables / System Variables PATH. I prefer doing that because in the long run, you may need both the modes. Do the above for both Debug and Release modes.On the Configuration Properties, Linker, Input, Additional Dependencies, add the following libraries:.On the Configuration Properties, Linker, General settings for Additional Library Directories, enter “C:\opencv_git\mybuild\install\x86\vc14\lib”.On the Configuration Properties, C/C , General settings for Additional Include Directories, enter “C:\opencv_git\mybuild\install\include\”.Go to properties and click on “testOpenCV properties”.Create a new project (a Win32 application on C ).You have to tell the C/C compiler where the header files are, and you have to tell the Linker system where the compiled library files are located.The OpenCV library is now built for your PC. The new directories ended up as: “C:\opencv_git\mybuild\install\x86\vc14\bin” and “C:\opencv_git\mybuild\install\x86\vc14\lib”.After both sets of builds are complete, open up the expand the values for “CMakeTargets” Right click on “INSTALL” and then Build once more.Swap configurations (Debug Release) so Release is selected, then Right Click on ALL_BUILD again and select Build.Right Click on ALL_BUILD selection in Solution Explorer, then select Build.At to top of Visual Studio, note what configuration you are working in- “Debug” or “Release”.Visual Studio 2015 should open with a populated “Solution Explorer” folder.Go to your mybuild directory using Windows explorer.Click on Generate to create new content in your mybuild directory. Hopefully you get a completion without errors. You will see log being generated in the bottom box of the CMake tool.Specify the Generator, the default “Visual Studio 14 2015” is fine. Where to build the binaries? = C:/opencv_git/mybuild.Where is the source code? = C:/opencv_git.Start the CMake GUI tool from your applications.Navigate to the opencv folder inside and create a new folder named “mybuild” there.I named my directory “C:\opencv_git” just to indicate that it’s the cloned copy from github.Place the cloned copy of OpenCV to your local hard disk.You can download it too but cloning is more fun (:P) Download the latest version of the OpenCV library(3.1) directly from the main OpenCV depository at GitHub.Go to the CMake download page and get the latest release.But DON’T go here if you are using VS 2015 because the precompiled version uses a different compiler(VC11 and VC12) that VS 2015 doesn’t use(VS 2015 uses VC14). Obtain a functional OpenCV library that works with Visual Studio IDE 2015.Run a simple c program in it to check you have the compilers and stuff.It will take a fair bit of your time and a restart at the end. Just go ahead with the instructions to install. Please note the 32-bit and 64-bit versions for your system.Go to the Visual Studio website and get a suitable version.I would recommend Visual Studio 2015( you could go for other versions too but that’s the latest so far, so why not? ) For Windows, you would need to link it up using an IDE (Integrated Development Environment). It works very well in Linux operating systems and you could find multiple tutorials to set it up. OpenCV is an open source computer vision library. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |