Table of Contents

OpenCV Install on Windows with Code::Blocks and minGW

Setting up Code::Blocks on Windows

How do I set up OpenCV?

Can OpenCV be used without setting after installation?

Is there a way that I can use OpenCV on my machine by just building the source code and not installing them to /usr/local/lib on my machine, i.e. without running make install after building the binaries? Yes, you’ll need to provide paths to OpenCV libs in your code.

It is generally due to non availability of compiler or Codeblocks is not properly configured to use the compiler. Best way is to uninstall the current codeblocks and download the version with compiler included. It will be around 80–100MB in size. Install it and most probably your problem will be solved.

Try to go Settings->Compiler->Select “GNU gcc” from the drop down menu -> Then press “set as default” button. Close the dialog with OK Close codeblocks and restart it Open codeblocks and try to create a new project.

How do you fix compiler in CodeBlocks?

The compiler is installed, but Code::Blocks can’t find it.

How do you get output in CodeBlocks?

Originally Answered: How do I get output screen for code written in C++ in codeblocks? Press F9 on your keyboard,it builds and runs your program in Codeblocks.

An environmental error is an error in calculations that are being a part of observations due to environment. Any experiment performing anywhere in the universe has its surroundings, from which we cannot eliminate our system.

How do I add OpenCV to code blocks?

and you have a configured system, then open up Code::Blocks, create a new project, select a console project. Then right click on the project name, build options, linker settings. Inside the ‘other linker options’ you now add the command pkg-config opencv –libs and you make sure that it is in angled brackets (cannot display them here).

How can I change the default OpenCV installation layout?

Default values of these options depend on platform and other options, please check the cmake/OpenCVInstallLayout.cmake file for details. Following options can be used to change installation layout for common scenarios: Tune multiple things to produce Windows and Android distributions.

Flake8 must be installed. Enable Java wrappers build. Java SDK and Ant must be installed. Build single opencv_java dynamic library containing all library functionality bundled with Java bindings. Build python2 bindings (deprecated).

Then right click on the project name, build options, linker settings. Inside the ‘other linker options’ you now add the command pkg-config opencv –libs and you make sure that it is in angled brackets (cannot display them here). Finally in your source file you add #include and using namespace cv; and you are good to go.